Thin Impedance Vibrators: Theory and Applications: 95 (Lecture Notes in Electrical Engineering)

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  1. Lecture Notes in Electrical Engineering
  2. Bond Graph Bibliography
  3. Theory and Applications
  4. Micromachined Resonators: A Review
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We propose an algorithm for knowing the drivers drowsiness by checking the width and height of the eye. A new formula has been used to check the measurements of eye and face detection. The warning will be deactivated manually rather than automatically. Therefore, a deactivation switch will be utilized to deactivate warning.

Keywords: auspicious cautioning, drowsiness, eye and face detection, sluggishness acknowledgment. Abstract: Internet provides various services where a person interacts with each other. When a person performs any activity by internet then all the records stored on a web server. The data stored on the server called weblog data.

This weblog contain lots of information about users. Now every person can get any information on a click. The huge amount of information stored on server. If we want to get the desired information from web server then it has to use some data mining techniques. Frequent pattern mining is one of the techniques for getting patterns from weblog.

Abstract: The self-organizing maps SOM is a supervised neural network NN studying technology but there is some data remaining to extract to analysis the neural network which has been frequently used for the analysis and organization of data files having a large size. In this same manner fuzzy c-means FCM is also a supervised methodology to segment the image. Here, introducing a novel path to deal with the consequent section of Magnetic Resonance MR imaging of the human brain into anatomical locales.

This paper presents an analysis segmentation of microarray brain image in an unsupervised methodology by combines the supervised FCM and SOM methodologies. Abstract: Swarm intelligence algorithms are based on the behavior and intelligence of living organisms that exist in nature. Amidst living organisms, Bacteria is a micro-organism that exhibit intelligent behavior by the development of biofilms to overcome harsh and adverse environment such as antibiotics and other bacteria.

Lecture Notes in Electrical Engineering

This survival behavior of bacteria forms the basis for the design of Biofilm Bifi algorithm in this paper. Biofilm algorithm uses three important characteristics of biofilm forming bacteria viz. Biofilm algorithm is applied to global numerical benchmark test functions and compared with known state-of-the-art optimization algorithms. Keywords: Bacteria behavior, Biofilm, Swarm intelligence algorithm, Single objective optimization. Abstract: AISI is utilized in the creation of landing Gear, actuators and other aviation parts yet their application is constrained because of erosion protection from the high quality.

In any metal cutting task the highlights of Tools, input work materials, machine parameter settings will impact the procedure proficiency and yield quality attributes. A huge enhancement in process productivity might be acquired by the process parameter improvement that distinguishes and decides the areas of basic process control factors prompting wanted yields or reactions with satisfactory varieties guaranteeing a lower cost of assembling.

This test thinks about clarifies the issues and machinability issues like failure of tools and precision are found while machining and less yield in machining. In the present investigation of Different Heat treatment, for example, Annealing, Normalizing and Spherodizing was explored in turning of AISI under the thought of a few turning process Constraints.

The anticipated outcomes were observed to be in great concurrence with the test. Abstract: The immovability and permanence of thermal barrier coatings is very significant parameter for turbo machinery used at high atmospheric temperature such as turbine, compressor used in power generation and space industry. This thermal shock testing is performed with 45 min heating and 15 min cooling in water and air separately. Delamination is observed due to thermal fatigue damage on 8YSZ coating.

Damage of work piece is originated at the corner due to thermal fatigue and is sustained upto 20 cycles, 8 cycles for air and water cooling respectively. After conducting of water and air cooling, lots of non-regular shaped nano size agglomerated clusters were observed in the 8YSZ coating.

These non-regular structured leads to the formation of weak in the bond which cause delamination of coatings. Abstract: In present world, water distribution network has a considerable role in maintaining the required living standard. It has various components such as pipe, pump, and control valve to deliver water to the consumer withdrawal point from its source point. Unfortunately, optimal pipe sizing is a non-linear problem. Importance and complexity of the pipe flow problem makes it popular in research field.

The literature unfolds that the stochastic optimization algorithms are successful in examining the combination of least-cost pipe diameters from the commercially available distinct diameter set, but with the liability of considerable computational effort. The hybrid method i. Genetic -Fuzzy System, presented in this research work has a main focus to develop a parameter for increasing the reliability of the overall network using fuzzy logic concepts based on the difference in simulated pressure and acceptable pressure limits in demand nodes and to incorporate this parameter in a bi-objective optimization model for water distribution network design using Genetic Algorithms, hence attaining the optimized pipe diameters with minimum computational effort.

The method is applied for optimizing three different water distribution systems [1, 13]. The variation of reliability index with the optimal cost is presented in graphical form. Keywords: Optimization, water distribution system, fuzzy logic, genetic algorithm, reliability index. However the performance grid-back of different data-oriented applications is depends on various way of accessing the data cache.

Thus, cache memory enhances the performance of processor by tens or hundreds of times much better. Reconfigurable cache memory is vital to enhance the store execution and lessens the vitality utilization. In this paper, an audit for past papers related with reconfigurable store memory were given and analyzed it our work. This paper presents our proposed technique that reduces overall power consumption and improved performance in computer system if implemented with the help of some already existing architecture.

Detailed block diagram describes the working of proposed technique, followed by execution flow diagram that depicts the flow of execution of our proposed technique then simulation flow which depicts the simulation process of technique , then result and analysis sections depicts the partial result of proposed technique ,after that there is a conclusion section followed by future work and limitation of out proposed technique.

Keywords: Cache, computer system, pipeline, memory architecture, data processing. Abstract: A detailed review on matrix converter circuits for adjustable speed drive applications has been presented in this paper. The power converter that is made up of a group of nine switches used to link three phase ac source to the load is called AC to AC Matrix Converter.

Matrix Converter is capable to transform input with constant amplitude and frequency to three phase output with variable amplitude and variable frequency, as it is able to produce any frequency at the output as integer multiple of input. The attractive characteristics of Direct matrix converter are intrinsic four quadrant operation, high power factor at the input side, no intermediate capacitor, high regenerative capability, increased power density, light weight and reliable. However, some of the striking feature of these converters has been under research for the last few decades.

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The use of various topologies of matrix converter, and its PWM methods to get desired performance in adjustable speed drives have been discussed in this paper. The existing counterfeit problem due to demonetization effects the banking system and also in other fields. A new approach of Convolution Neural Network towards identification of fake currency notes through their images is examined in this paper which is comparatively better than previous image processing techniques.

This method is based on Deep Learning, which has seen tremendous success in image classification tasks in recent times. This technique can help both people and machine in identifying a fake currency note in real time through an image of the same. The proposed system, AFCRS can also be deployed as an application in the smartphone which can help the society to distinguish between the fake and original currency notes. Abstract: In the present society, propels in invention have made life less demanding by giving us more hoisted measures of information through development of numerousdevices.

In any situation, each mechanical development harbors capability of shrouded risks to its customers. Nonetheless, the abuse and burglary of these safety efforts are likewise on the ascent. Exploiting security imperfections in ID cards result in cards being copied or forged and being abused. This increasing fight with digital safety has prompted introduction of biometric security systems.

Laying out standard contrasts among strategies for biometric invention utilized to confirm client characters will reveal insight into the preferences and drawbacks of individual information security frameworks. Keywords: Multimodal biometric authentication, Security of information dwelling, data fragmentation. Abstract: In the early days recognition of the errors in transmissions may diminish the time postponement of communications.

The customary error recognition methods are not exact adequate. A machine learning based methodology is proposed to take care of this issue because of the ongoing momentous advancement. The machine learning technique acquires the transmission state is thought to be a component of the highlights of a channel situation like the impedance and the noise. The preparation dataset is produced by reproductions on the channel condition. The ensemble machine learning algorithms are namely AdaBoostM1, Attribute Selected Classifier, Bagging, Classification via Regression, and Random Committee implemented in this research work and found the best algorithm for giving best accuracy.

Abstract: Animation can imagine outlines changing certainly and what's more in space. Research on getting from animations reports incredibly conflicting works out as intended concerning the central focuses related to picking up from animations. However, in E-content development field , although some companies have developed their individual production methodology for animation and multimedia content, there is lack of relevant research from the perspective of animation and multimedia integration techniques. In a trial mull over, we utilized three evaluations of learning achievement.

In perspective of these evaluations, we dismembered grabbing from static pictures what's all the more, getting from animations. This blended learning system may be a potential trends of animation content in teaching and appropriate method of teaching especially for school children. Abstract: India is home for various treasures of knowledge which are inscribed, stored and passed on from one generation to the next through a unique medium — palm leaves.

In the present scenario, the need to preserve our rich heritage and provide an easy interface is the major challenge, using modern technology and techniques, thereby enhancing accessibility, applicability and appreciation for the repository of knowledge. A well-built catalogue is a primary requirement to facilitate effective and efficient information retrieval. The main aim of this research is to provide users with a standard means for intellectual access to digitized materials.

These can be widely utilized in various digital libraries across the globe. This metadata schema can be incorporated into an enhanced search engine for obtaining better precision and recall results. Abstract: Accidents or Mishaps are happening calm regularly now days for some reasons. Among those reasons the calmest reason is because of the liquor dependent purchasers. A large number of the general population used to go to work places like production lines, ventures, medical clinics, workplaces and military by expending liquor. These reason hazardous mishaps in numerous spots over out of indiscretion.

A definitive purpose behind this proposed work is to lessen mishaps because of liquor utilization by identifying it.. This guarantees appropriate hard working attitudes are pursued. In this way, our proposed framework takes into account liquor checking in addition to announcing framework that screens this and reports it to concerned individual remotely over web.

Our framework is made out of an IOT based circuit framework that utilizes Arduino board. The framework has MQ3 liquor sensor and to look at the liquor utilization of driver and to control vehicle start automatically. This data refresh to the cloud server alongside area and liquor content. This guarantees no marvel of mishaps because of liquor affect.

Keywords: Alcohol detection, Arduino board, cloud server. IoT circuit system, MQ3 alcohol sensor. Abstract: This research work discusses the methodology for cloud workloads prediction and simulation for developing a load balancing algorithm. The main goal of the methodology is to develop an efficient load balancing algorithm which would require less processing power.

In-order to enhance load balancing, these following parameters should incorporated, namely, determining as well as comparing the load and efficiency of the system, connection between the nodes, transmission nature and obtaining the proper nodes. The proposed algorithm main task is to increase the utilization of resource among cloud servers, thereby enhancing performance of the cloud servers by proper load balancing. Rapid node mobility will lead to signal fluctuation and reduces packet delivery.

It also leads to path loss in near future. In our proposed failure path recovery algorithm, we analyze medium to measure loss and gain of signal strength. Whenever a signal fluctuation occurs, a path alteration is done by selecting a stable one hop neighbor node with better processing capacity. This is done prior to path failure and ensures the reliable data transmission. Keywords: Medium analysis: signal fluctuations; link quality; processing capacity.

Abstract: In this Paper, It has been proposed a de-speckling method on Indian Synthetic-aperture radar SAR image with block matching 3D transformation and has been used for classification method. This block- matching 3D algorithm clearly explained how to generate de-speckling of SAR image for classification. In this technique has been tested on RISAT-1 SAR image data set and practical results exhibit that this technique is the better in terms of de speckling quality image factors.

The resultant multi spectral and good resolution image has been classified using supervised classification. Keywords: Synthetic-aperture radar, de-speckling, block matching 3D algorithm. Compressive strength is studied at 28 and 90 days curing age. For SCC mixtures, all test values are within the permissible limits. Different particle sizes of aggregates in SCC achieved continuous gradation.

In addition, fly ash contributed its effort acting as filler and holds good bonding at interfacial transition zone. Hence, the reduced porosity helps in improvement of durability properties. This investigation is aided in identifying the excellent durability properties with the both cement and sand replacement by fly ash and e-waste aggregate respectively. It compensates the disposal problem, conserves natural resources, and reduces energy, emissions, dead load and cost of concrete production.

Abstract: MANET is a self-configured network of devices in wireless linked network, in an arbitrary topology. The connectivity is established by operating system hosted on participating nodes. Routing algorithm establishes routes and forwarding information as packets to and from source to sink station. Many routing techniques attempt to achieve optimal performance; however modifications are still required in existing routing protocols to improve the performance of MANET.

There exist some predominant anomalies in Mobile Ad-hoc Network in terms of above performance metrics. Anomalies in MANET arise due to various environmental factors like variation in number of connections among participating nodes, mobility of nodes, pause time of node, rate of data packet forwarded by nodes and total density of nodes, adversely affecting its performance. In order to overcome some predominant anomalies, in this research a systematic approach has been used to develop an intelligent system model, which controls the performance adaptively.

Abstract: Adaptation of this method of identification of weeds in specific areas on crop lands which help for healthy agriculture. Mostly separations of weeds from the crops are done with the help of image processing. It is the process of separation of weeds specifically from the crops. This method of separation will be helpful in optimization of herbicide usage. There are several methods of image pre-processing used to remove the information which is irrelevant from the image other than weeds.

Crops are separated in rows. Different colour models are used and then proposed for grey image, vertical projection is used to identify centre line of crop row. It leads to colour feature extraction from the image. Cultural algorithm is used for separation of feature from the image and Search algorithm is used in specific identification of crops and weeds for specific spraying. After feature extraction SVM algorithm and BP algorithm is used for experimental result for higher accuracy of about Abstract: Natural disasters pose a serious threat to national economy, human lives and can disturb the social fabric of the society, although we can not entirely prevent these natural disasters from happening but with the advancements in the satellite imagery, remote sensing and machine learning it has become possible to minimize the damage caused by them.

Satellite images are very useful because they can give you a huge amount of information from a single picture.

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Since it is becoming easy to get these satellite images the climate and environmental detection systems are in high demand. In this paper, we propose a post disaster system which we have named, Automatic Disaster Detection System ADDS which is designed to detect the disaster affected areas and help in the relief operations.

The existing methods for detection of disaster affected regions are mostly dependent on manpower where people use the drone technology to see which area is affected by flying that drone over a large area which takes a lot of time. A new approach of Convolution Neural Network towards detection of disaster affected areas through their satellite images is examined in this paper which is comparatively better than previous image processing techniques.

This method is based on deep learning which has been a widely popular technique for image processing in recent past. This technique can help save lives by reducing the response time and increasing the efficiency of the relief operations. Abstract: The paper studies the scope, performs the modelling and validation for conversion of any Convetional Vehicle to a Split Parallel Hybrid Electric Vehicle. The introduction of a smart Energy Management System for sucha setup is also evaluated.

The gradient analysis is performed using the GPS based road gradient database. Abstract: Surveillance systems are used for the data acquisitions in order to monitor the control over an environment and get a good overview of the targeted place which can be secured and have a reassurance of safety to the client. But all the previous systems depend on the human who is monitoring the flow i. Now this is all a tedious work which can be changed as we have a dynamic development in the increase of machine work and reducing the human involvement in the analyzing process and make it an intelligence system.

We use an image acquisition system using sensor support and based of the movement detection in the proximity of the sensor and it automatically compiles a message to receive to the user through a SMS carrier and also mailing the acquired image through the mail over internet and we can check the live data of the camera using a port address over the same network using IOT.

The script we use for all the programming function for this is python as its cross platform support will help in the execution of this project successfully in a single program. In the modern times we have many smart surveillance systems but they are in the affordable range for the small scale business industry and also in the local society such as towns and districts they are eager to acquire a smart security systems for their offices, shops and for protection of their merchandise but cannot go forward due t the pricing range for such system.

This is a low cost and efficient system of image acquisition which almost at the half price of whatever smart surveillance we have in the society now-a-days. The paper is comprised of the brief work done in the future usage of the new form of the image surveillance system. The script, offices, The paper is comprised of the brief work done. Abstract: The main objective is to propose a multi-core architecture for micro-controller implementation, considering availability of various microprocessor cores and advancement in fabrication technology. As it is possible to fabricate 2 million gates per square millimeter at advanced 40nm CMOS fabrication technology and availability of embedded FLASH technology on same process, the innovative multi-core micro-controller can be developed for high performance, low power features.

Often embedded micro-controllers need variety of interrupt handling. Zero interrupt latency mechanism is very much required in embedded applications. As long as the interrupt actions are limited and predefined, it is possible to give zero latency response for handling interrupt. A simple device with limited programming model is proposed for achieving zero latency. The logic can be easily integrated with multi-core micro-controller architecture.

Abstract: The four years rainfall accumulationsobservedwith respective rain rate has been presented for the location Lat The stratiform and convective rainfall pattern and its effects on the link has been analyzed with respective rain event. The fine resolution rain rate obtained from Micro Rain Radar with 10 seconds integration time has been presented for a rain event. The observed rain attenuation on the Abstract: Stock trends are generated in huge volume and it changes every second.

Stock market is a complex and volatile system where people will either gain money or lose their entire life savings. To achieve it we have considered mainly two prediction methods, Heat Map and Ensemble Learning, which based on the percentage change in the stock price data will classify the stock into buy, sell or hold categories. Heat map is generated based on the correlation coefficient of the quantifiable data to further classify the stock as one of the three above mentioned categories.

On the other hand, we used the ensemble learning model to classify the stock into a majority vote-based system that considers 3 main classification models. Observations shows that Random Forest, SVM and K-neighbors classifiers show the most prominent results of all other possible combinations. Abstract: Due to the unbelievable increment in the assess of data on the World Wide Web, there is a solid requirement to optimize a web page cataloging to reclaim constructive information rapidly. Proposed clonal selection based artificial immune system algorithm to select the most excellent weights for every feature in the training dataset and implement the KNN k-Nearest Neighbour classifier to categorized the new web pages from testing dataset.

In addition, the weight determination process is depended on both term and tag weighting method. Structure features are gathered and appointed weights in this scheme. Results obtained show that projected classifier effectively classified to demonstrate the efficacy of the algorithm with respect to single and multi-class. Abstract: Traditional methods of drinking water quality parameters like turbidity, pH, conductivity and temperature etc. To overcome this, in the current article an attempt has been made for developing the smart and low-cost IoT system.

The parameters considered to test the quality of water are Temperature, Turbidity, pH, Conductivity. Sensors immersed in sampled water are used to measure the above said parameters. The sensed data from the sensors was sent to the Raspberry Pi Unit. The sensed data parameters compared with the standard values which already exist in Raspberry Pi Unit. If any change in the standard values was observed, a message or a mail will be sent to the Smartphone through Wi-Fi. In the current work, samples of water were collected to test the purity of water.

Also to check the variety of particles those were present in the water. In this work, we use sensors for testing purity of water. The current developed model will detect the particles that are present in the water and also the level of purity in the water. The results were displayed in the form of the numerical values at the display unit that was fixed on the IoT unit. The properties of memristor such as the nanometer scale measurements and its non-volatile memory qualities have yielded more attention towards research people.

The nanometer scale highlight of the memristor makes another door open for the realization of innovative circuits for logic blocks from the more standard designs. Non-volatile memory property empowers us to acknowledge new outline strategies for an assortment of computational components that prompt novel models.

By this, there comes the idea of the combination of the Nano-scale memristor and CMOS, which ends up conceivable to diminish usage of silicon territory accordingly giving a promising alternative in the plan of memristor and CMOS based circuits. In this paper, we are presenting a combinational circuit design using memristor and CMOS logic as well as the implementation of a built-in self-test circuit to test the core functionalities of the logic.

It is composed of a test pattern generator and output response analyzer which will compare the output response of the unit under test circuit with the pre-stored expected patterns of the unit under test. Designing the circuit utilizing this mix advantage of memristor and CMOS spares a great deal of chip space and power utilization and it is reliable as well. Abstract: Everything in real word is monitored through surveillance cameras. Video surveillance is a critical tool for a variety of tasks such as law enforcement, personal safety, traffic control, resource planning, and security of assets.

The widespread use of surveillance cameras in offices and other business establishments produces huge amount of data every second. The advent of large data is introducing important innovations like availability of additional external data sources, dimensions previously unknown and questionable consistency, poses new challenges to the worldwide spread of data sources web, e-commerce, sensors.

These collections of data sets having video frames which become difficult to process using traditional image processing applications. So, in this paper we propose a new foreground extraction technology using segmentation based on Skew Gaussian Mixture Model. The proposed model is more accurate than traditional approaches. Abstract: The flat slab has gained popularity for many years in the construction industry because of its advantages over the conventional slab.

Punching shear failure is the major issue in the flat slab system. The most affected portion in the flat slab system is the slab column joint. This software has good performance quality and ability to solve the complex problems in different fields of engineering. In order to conduct the study, nine slab-column specimens of the flat slab were casted and subjected to test with four, three and two sides rigidly supported.

Three flat slabs with control mix and six flat slabs with hooked end steel fibres were used. The tests were conducted to study the capacity of the test specimen to withstand the punching shear. The crack patterns developed on the test specimens was studied. It was observed that the four side supported slab-column connection of the flat slab enhance more punching shear strength capacity than three and two sides supported.

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Also, it was found that the usage of the steel fibre can improve the stiffness and the load bearing capacity of the test specimens. Keywords: Crack pattern, Flat slab, Punching shear, Steel fiber reinforced concrete. Abstract: A Graphics Processing Unit GPU is a specific electronic circuit proposed to rapidly control and alter memory to quicken the formation of images. GPUs are used as a part of cell phones, PCs, workstations. With upgraded efficiency, the GPU plays crucial part in visual and sound preparing applications, for example, GPU quickened video encoding and image handling.

Hence, as the GPU gadgets bring high cost and vitality utilization, conveying GPU quickened visual and sound handling administrations is a versatile and adaptable arrangement. Due to high upkeep cost and diverse speedups for different applications, GPU-quickened services still need an alternate pricing strategy.

Accordingly, here, we propose an ideal GPU-quickened mixed media preparing administration pricing system for increasing the benefits of both cloud suppliers and users. As the distributed computing is an essential business display, the evaluating technique is an imperative issue for both foundations and organizations. The evaluating technique of business cloud administrations is typically considered as delicate insight.

With various rebate and differing costs, the last cost isn't totally predictable with the underlying open costs. So here we talk about the mixed media preparing pricing technique in GPU-accelerated cloud computing and investigate the outcomes from the examinations. Abstract: The radiation from mobile towers affect tissues in the human body. The electrons are stripped away from atoms by splitting some chemical links. In our paper the shielding performance of various materials like aluminum sheet, mumetal, and super-alloy with different thickness is evaluated in terms of reflection loss RL , re-reflection factor RRF and absorption loss AL.

Aluminum acts as a good corrosive in marine, and atmospheric environment. This is very appropriate for the decorative applications, due to its high reflective property. The soft ferromagnetic alloy of mumetal contains the nickel iron with high permeability, and it is suitable for shielding against low-frequency magnetic fields. The power density values obtained from the shielding effectiveness are converted into specific absorption rate and it is compared with the ICNIRP standard value to show the effectiveness of shielding material.

While comparing with the other materials, it is observed that aluminum sheet is the most radiation absorption and protective shielding material against the radiation from cell towers. Keywords: Shielding algorithm, reflection loss, absorption loss, re-reflection factor, thickness of the material. Abstract: Detection and estimation of object in motion is crucial issue in tracking.

In underwater object tracking, object parameters like course, range and speed of the object are estimated using passive mode operation of the sonar. One of the main assumptions is that the object is moving with constant velocity. Bearing measurements are nonlinearly related to the state of the object and sub-optimal filter for a nonlinear approach is unscented Kalman Filter UKF. But UKF is unreliable under non-Gaussian noise environment.

Particle filter is an advanced filter that processes nonlinear data in non-Gaussian noise environment but hassample degeneracy problem. Keywords: Bearings-only tracking, Modified gain bearings-only extended Kalman filter, Particle filter, Residual sampling, Statistical signal processing. Lindgren, KAI F. Electron Syst. AES, No. Abstract: Developing a precise segmentation algorithm to delineate ischemic lesion from brain MRI is a challenging research issue in the field of medical image analysis and neuro-radiology.

These lesions are generally complex in nature and exhibit heterogeneity in their intensity profile and morphological properties. To address these challenges, a novel segmentation algorithm using Symmetric Bit Plane Pattern analysis is presented in this work. Unlike the classical segmentation algorithms which fail to extract the region of interest in the presence of scattered structures with intensity in-homogeneities, the proposed segmentation algorithm considers the left-right symmetricity property of the brain for better estimation of segmentation parameters.

An adaptive filter function is designed based on the gray level profile of the brain tissues to segment the intended region of interest. Once the region of interest is delineated, multi scale co-occurrence matrix based features in Curvelet space are extracted and its significance in detection of ischemic lesion is highlighted. Finally, Support Vector Machine is used to train the learning model for classification. Experimental results of the proposed work have obtained better classification accuracy of Keywords: About four key words or phrases in alphabetical order, separated by commas.

Abstract: Skew laminated composite plates with cut-outs are used in many engineering applications like fins, wings and tails of aero planes, hulls of ships and parallelogram slabs in buildings, complex alignment problems in bridge design etc. The structure used in these applications, are often subjected to dynamic force which creates vibration. The effect of various geometries of the cut-out, on the resonance point has been investigated. An 8 node shell element is adopted to mesh the plate geometry.

The accuracy of the present analysis is shown in some typical cases. The results are compared with existing results based on other numerical methods and observed to be in close proximity. Abstract: It may be more expensive on some system, as manufacturers frequently obtain and spread over new producing materials that are brighter and stouter—and thus a lot of fuel-effectual—it follows that cutting tool manufacturers should mature tools which will machine the new specimens and Geometry at the best attainable levels of productivity.

Feasibly the mutual thread through all producing is the determination for exaggerated productivity and dependableness. As metal cutting operations become increasingly fine-tuned, the relationship between cutlery micro cutting edge preparation and macro rake face topography pure mathematics is changing into a lot of and a lot of necessary. The experimentations were performed on Ti—6Al—4V alloy block of the cutting tool of changed pure mathematics of CNMPSM TN of twelve metric linear unit diameter with cutting purpose one hundred forty degrees, used throughout the experimental work beneath totally different cutting conditions.

The main and interaction effect of the input variables on the expected responses are investigated. The expected values and measured values are fairly Near to the Outcome one. Abstract: The Antenna array is an essential part in the wireless communication systems. Design of a low sidelobe level antenna arrays crucial in design of the efficient antenna array system. In this paper, the synthesis of an aperiodic antenna array synthesis for minimal sidelobe levels has been discussed. A novel modified differential evolution MDE is proposed for controlling the sidelobe energy by optimizing the antenna element positions.

Different mutation schemes have been adopted in developing the MDE algorithm. The steps involved in the development of MDE and problem formulation for the minimizing sidelobe levels is discussed clearly. Various popular synthesis examples have been considered and synthesized. Both small and larger arrays have considered in this paper. Abstract: As solar inverters have the ability to inject reactive power along with the active power, a reactive power control methodology to inject and control the reactive power flow into the grid is presented in this paper.

A detailed modelling about the components used in this technique is mentioned in the below sections. This paper also discusses about the reactive power capability curve in relation with the inverter current carrying capability and constant reactive power injection method. Keywords: reactive power, power capability curve, Solar PV array, inverter. Abstract: The supplementary cementitious materials SCM can be used as a replacement of cement in the construction industry to minimize the drawbacks of normal concrete such as the emission of carbon dioxide so as to be eco-friendly.

This paper presents the effect on the properties of concrete with ultrafine slag dosage i. The effect of addition of alccofine on the strength properties compressive strength, splitting tensile strength and flexural strength of concrete were studied at 7 and 28 days wherein considerable strength enhancement was observed compared to normal concrete. Water absorption and the effects of acid attack on weight and strength deterioration factor SDF were also carried out. It was identified that the concrete with alccofine was more durable as compared to normal concrete.

Therefore, it was concluded from this study that alccofine can be used as a viable substitute to cement in normal concrete considering its positive effects on property enhancement and eco-friendless. Keywords: Alccofine, compressive strength, water absorption, acid attack. Abstract: Drowsiness is turning into a serious issue if there should be an occurrence of auto collision. Typically, Sleeping can be distinguished from a few elements like eye squint dimension, yawning, grasping power on haggle on. Be that as it may, all these estimating procedures will check just the physical exercises of the human.

At times, individuals will rationally lay down with eyes open for a couple of moments. This will make huge mishaps in driving. Along these lines, in our proposed undertaking work we are breaking down the psychological exercises of cerebrum utilizing EEG signals dependent on Brain-Computer Interface BCI innovation.

The key work of the task is breaking down the cerebrum signals. Human mind comprises of a great many interconnected neurons. This neuron example will change as indicated by the human considerations. At each example arrangement remarkable electric mind flag will frame. On the off chance that an individual is rationally laying down with eyes open, the consideration level mind flag will get changed than the typical condition. This undertaking work utilizes a brain wave sensor which can gather EEG based cerebrum signs of various recurrence and plentifulness and it will change over these signs into bundles and transmit through Bluetooth medium in to the dimension splitter segment to check the consideration level.

Level splitter section LSS examines the dimension and gives the sleepy driving alarm and keeps the vehicle to be in self-controlled capacity until stir state. Notwithstanding this we likewise found a way to stay away from crashes dependent on this signal and LED shines. This can spare a great deal of lives in street transportation. Abstract: Goat meat is highly competitive with other livestock meat on nutritional and sensory qualities.

Three variants of curing pickle with variation of salt, sugar, papain and water are prepared and injected to goat meat product. Using of papain enzyme in formulation of curing pickle tenderize the goat meat and cut meat massaging time up to 3 h. The level of minerals and vitamins in goat meat before and after cooking is significantly different. Keywords: goat meat, curing pickle, papain, vitamin, nutritional value. The various existing algorithms perform the analysis by reducing the scheduling points in a given task set.

In this paper we develop a algorithm to compute the RMA schedulability in a distributed real-time system. We look at the limitations of parallel system and show how a distributed system can overcome it and also propose a distributed algorithm for the Schedulability analysis. Keywords: distributed systems, real-time systems, RMA, Schedulability. Abstract: Natural resources are the part of human life. Water is also one of the natural resources. It is the main source of living things without presence of water there will be no living things on earth.

Iot will be most prestigious technology in upcoming days. This paper presents an IoT device that monitors efficient usage of natural resources in agriculture. Now a days it so hard to farmer to give water, because. So, in this system two types of sensors used in this project. These sensors will inform the water quality and pH level. According to those values by using Iot technology the motor functioning is automatically controlled.

The given data will be stored in cloud. After getting values it will be send to the farmers phone by using GSM module. This process is done without any interaction of human. It can help the farmer without wastage of water and loss of time. Iot is very friendly to the environment and it can be used every sector.

Theory and Applications

This technology will be best for the farmers. Keywords: IOT, environment, pH level, agriculture, moisture. Abstract: Logo based document analysis plays an important role in many organizations for collecting information from massive number of administrative documents so that it can be summarized easily. Many researches are going on for improving the excellence of system, but the issues increase as the logos are similar to each other with minor differences. Conventional methods would not suitable for such complex process of identifying exact match so optimized models plays a vital role in this process.

Cuckoo search algorithm is used in many cluster-based applications and it provides better convergence results than other optimization models. This proposed research model uses hybrid cuckoo search algorithm using global search procedure for enhancing its performance in analysing the logo-based document retrieval from the data set and proves its effectiveness in terms of fitness function and classification accuracy.

Abstract: In this paper a comparative analysis among Proactive, Reactive and Hybrid routing protocol is presented using simulation. Keeping in view MANET is infrastructure less and at times nodes are free to move in different direction, making routing protocol a vital component for network operational effectiveness and efficiency. Abstract: The objective of the paper is, to propose one of the best approaches of quality assessment of undergraduate project.

The Examiners and Supervisor may use this approach for grading the level of students of a particular group Project. The recommended approaches are mathematical, which are evaluating the weight-age, performance, and contribution of individual member in their respective group. To sort out the existing issues, Result has been collected in the form of passive observation. The supervisor has to observe an individual one based on different observation techniques.

Abstract: Machine learning is the sub branch of artificial intelligence and it is making computers to learn from data without being explicitly programmed Heart disease prediction is used to determine the root cause of getting heart attack and the probability of getting a heart attack, group the people into different clusters based on getting heart attack or not There are five levels in heart attack from level 0 to level 4. Abstract: This article is devoted to an interesting educational direction i.

Radio Frequency RF concepts and the use of basic digital signal processing tools for the development of real-time applications. A system with digital audio broadcasting DAB based generalised frequency division multiplexing GFDM is considered, estimates of its transmission modes are utilized. In this paper GFDM system proposal for digital audio broadcasting is investigated. The kernel is GFDM system, Emphasis is on the use of channel coding with low-density parity-check and convolutional codes at the transceiver.

BER is calculated under rural area RA consideration for entire area with quality of audio signal received is mentioned with different colours along with goggle map. Abstract: The growth of any country depends on the availability, accessibility and affordability of electricity to all connected consumers; hence the electricity is the key for any developed country.

To make electricity affordable and available to all consumers, many countries started implementing time based pricing to interested consumers. In India, energy tariff is slab wise for the residential load.

Micromachined Resonators: A Review

The philosophy behind this slab wise tariff is to facilitate or reward low energy users and charge extra for high energy users. But in that case, the middle class group of society has no encouragement for optimal utilization of electricity. Therefore, in such circumstances the real time tariff is very much needed for residential consumers also. They have found that real time tariff is superior than slab wise tariff. In India, it has been a concern for economically poor class. A policy can be made for consumers below the poverty line or low income group; for them slab wise tariff will be continuing and for rest others, a provision of real time tariff can be made.

Hence in this work proposing real time tariff for residential consumers in India. The existing tariff structure for India and other countries is discussed in this work and proposing the solution for the Indian residential sector. Abstract: The aquaponic systems are the combination of fish and plant culture. These are recirculating systems with two components: hydroponics and aquaculture. In these systems, the food given to fish is metabolized.

This metabolized food fulfills the nutrient requirement of plants. This is achieved by the recirculation of water from the aquaculture component to the hydroponic component and back to the aquaculture component. This experiment is conducted to test the effect of recycling of water in a longer period on the growth of iridescent shark and balsam plant in the aquaponic system. The system developed is 1. In the hydroponic component course aggregate of 0. Coconut husk and sand particle layers of 0. An average quantity of 1 kg of balsam plant leaves was produced in 60 days of plant growth.

It has been found that balsam plant and iridescent shark species in this system has a faster and better growth compared to the conventional growth. The water used in the system is completely replaced once in three months after 45 days. Also, it was recirculated once in 3 days during experimentation. The DO level of fish tank water was dropped below 2 ppm during the span of two successive recirculations. No direct sunlight was available for the plants and no other artificial light source was used in cloudy and humid atmospheric conditions.

The experiment also tested the success of the aquaponic system in adverse conditions like unavailability of fresh water for replacement, poor sunlight and minimum DO condition. The combination of balsam and iridescent shark proved to be suitable for the aquaponic system under such adverse conditions. Abstract: The number of cipher-texts in distributed cloud storage increasing rapidly. An objective function based homomorphic approach is proposed that is reasonable for dynamic cloud storage. The design solves cipher-text class requirements and encryption secret key leakage issue.

The goal of this research is to construct and execute an encryption design for open cloud access, based on the metaheuristic objective functional homomorphic viewpoint. Ciphertext classes are taken from to Delegation ratio is 0 to and file uploading range is 0 to The measurements inspected set-up time, encryption time, extract time, verification time, decryption time, and compression ratio over delegation ratio with compression ratio over numbers of uploaded files.

Keywords: Cloud, Cryptography, Objective function, Homomorphic. Neural network which can learn from experience are becoming popular in solving many of real worlds NP-hard problems. Today any prediction application is taking the support of Neural Network. The accuracy of the neural network models depends on major of the design components like the hidden layers and the activation functions.

As we know human brain receives both relevant and irrelevant information at a time and has the capability of segregating both, where the irrelevant can be referred as noise. Just like the human brain the neurons uses activation function to separate the noise from the input and reduce the error. This paper presents the role of hidden layers and activation functions in measuring the accuracy of the Neural Network. Abstract: Wireless Sensor Networks transmit data from source to destination and inform base station using various sensors.

However, the routing path through multiple hops of WSNs usually becomes the target of severe attacks. Outmoded cryptographic security techniques have proven to be inefficient against several insider attacks such as wormhole attack, sinkhole attack, Sybil attack, selective forwarding attack, etc. These attacks further impacts on restating of routing information and also exacerbate identity deception. To handle such instances, trust aware routing can be the alternative to provide a trustworthiness and energy efficient route irrespective of known geographic information or tight time synchronization.

Significantly, it is strong against the attacks caused due to identity theft. Besides that WSNs are also vulnerable to the attacks illegally acquiring network resources which is caused by many popular attacks. These attacks are complex as it affect not only the victim but its legitimate members also.

Existing routing techniques could not solve these severe issues. The proposed scheme demonstrated an average throughput of 6. Abstract: The article is devoted to the discussion of the recent trends and reformation of housing and communal services in Uzbekistan introducing ICT to the sphere. The object of the research is the sector of housing and communal services of the Republic of Uzbekistan. The actuality of the research consists of increasing number of scholars of several developing countries who are interested in how to use the ICT and by this to achieve economic effectiveness both in the scope of country and company.

For example, regardless of the reformations and development in this sphere, a row of problems is unsolved. Nowadays population is not satisfied with the supply of communal services; hence the number of complaints on the work of service providers is increasing. In addition, the problems of expenses and debts above normal and not correctly calculated are remain open.

Besides, the problems in the sphere of housing and communal services also arise from the lack of the mechanism of monthly taking measurements from the counters and absence of central database of consumers. The analysis of the main approaches determining the contribution of ICT to the housing and communal sphere, formulation of recommendations relating to the prior directions to achieve the step-by-step informatization of the sphere of housing and communal services makes up the scientific novelty of the research.

The research consists of four parts. Firstly, the role of ICT in the sphere of housing and communal services is explored. Secondly, application of billing system to the sphere of housing and communal services is investigated. Thirdly, reformation of housing and communal services by introducing CRM system is examined.

Lastly, introduction of ICT to the sphere of housing and communal services for integration with e-government is discussed. Keywords: Information and Communication Technologies ICT , housing and communal services, Customer Relationship Management CRM , billing, e-government, online payment, utilities, reformation, Uzbekistan, automation, informatization, debts, tariffs, management. Abstract: Multipliers are the primal constituents of a processing unit. The process of multiplication is carried out using different suggested architectures.

Among the developments the common factor observed is the use of recursive register interface in multiplication operation. It is needed to minimize the resource requirement to enhance the objective of optimal multiplication operation, in this paper a new low resource adaptive counter based multiplier design is proposed, which minimizes the register requirement by deriving a sub counter logic in multiplier design. Keywords: Multiplier design, adaptive logical count, low resource overhead. Abstract: Security concern in wireless network is a prime issue to overcome to offer better service quality for next generation applications.

To offer robust security in wireless network, a optimal loop trace monitoring approach for security provisioning in wireless network is proposed. The communication packets are then chosen based on the offered security value and the route selected. A higher offering security level route is chosen in data exchange for reliable coding. The simulation results were carried out for the existing reliability factor of data exchange over the proposed approach of loop trace monitoring to validate the proposed work.

Keywords: Secure coding, wireless network, loop trace monitoring and robust reliable coding. The aluminum alloys are used widely in Aviation, Shipbuilding and also in general engineering because it is having many applications in these sectors. Mostly in all the welding processes the purpose is to get welded joint by having its desired weld bead parameters, higher mechanical properties with the low distortion. The quality of the weld is determined through mechanical properties, bead geometry, and distortion. Abstract: Water is the most essential and foremost constituent for all the organisms living in the earth.

Sometimes it would be the major reason for the demolishment of lives when the needed level is increased. This resource is available through low, moderate and high level rainfall and it is preserved in various places for future usages. In this paper we discuss about the disaster caused by water stored in dam. When the storage level of the dam is increased, it is expelled or released without any alarm as a result it squashes many of the lives. Our main focus is to issue alarms before releasing the water from dam.

We use an unmanned method using wireless sensor technique to monitor the water level continuously, if it reaches the saturation point extreme storage level , we propose 3 alarming facilities, as 1. Sending message to the people located in the area, 2. Provide audio alarm which is battery enabled 3. Make drone alarming UAV to all the people. After the alarming process is done the shutters of the dam is released to expel the water.

Keywords: Dam monitoring, Drones, Shutters, Unmanned. Abstract: The quality of fingerprint or fingerprint verification depends on the quality of the fingerprint image. Most of the fingerprint management algorithms depend on the features which are extracted based on the minutiae of the fingerprints. The quality of minutiae is depends on how good the fingerprint images. The background and foreground of the images are also effect the results of the fingerprint images.

Fingerprint segmentation algorithms are used to extract the finger print image from background. In this paper we are presenting the two fingerprint segmentation algorithms which are the modifications of existing mean and variance based approach and gradient based approach. Keywords: Bio-metric. Fingerprint, Image segmentation. Abstract: Nowadays, all electronic gadgets and devices are in the race of most compact size and least power consumption.

Along with it, we want device to do many jobs at a time. For that it needs to be laced with maximum computing power. In CMP architectures, parallel task execution is done rather than executing task sequentially, as it is done in conventional programming. However, NoC consumes significant percentage of total power. Final objective is to design power efficient NoC. In CMP architecture, many data transfers are done simultaneously. It is required to evolve power saver NOC with unique task scheduling schemes. Our approach enhances network latency, network throughput along with energy reduction.

It defines performance of the system with high speed transmission. It shows improvement in the system performance when experimented with various applications. Here, we concentrated on proper distribution of tasks and network traffic required for execution. One needs to balance between over and under utilization of resources. Analysis of both the cases is done in this article.

Over utilization is injecting excess traffic in the network which leads to heat up problem. Under utilization is, PEs remaining idle for long time resulting in sluggish performance. Here we tried to list various innovative methods for saving network from reaching power wall. Energy modeling and granular traffic analysis gives us accurate estimation of device performance beforehand. Also, analysis is done for various topologies for different tasks. Abstract: MANET networks often form with mobile devices to enable communication and connectivity in time-critical applications. The routing protocol employ in the network often defines the energy efficiency and network performance in ad hoc networks.

In this paper, we propose a directional flooding-based routing approach to improve data reliability and improve packet delivery ratio in MANET network. The proposed routing protocol simulate in the NS2 environment to evaluate network performance of flood-based routing algorithm. Abstract: In this paper, a case of prediction of sample demands for industrial lubricants has been presented. We have observed that the demand for most of the industrial lubricants depends on three main factors i. These factors are studied and compared with other competitors dealing in similar nature of products. The quality is mapped with three fuzzy parameters viz.

The cost is linked with three linguistic variables viz. Similarly, delivery time is also associated with three sub-parameters viz. First, the raw data of demand for 12 number of random samples are collected from supply chain executives of an automotive and industrial lubricant manufacturing company. Thereafter, the membership functions for the causal factors and demand are built on the basis of comparative analysis and collected data. At last, a fuzzy- inference demand model with rule base is constructed.

Finally, the demands are predicted by the skilled fuzzy model. Predicted data is compared with the raw data and absolute errors are being calculated. The result shows predictions made by the fuzzy-inference demand model are in tune with the actual demands of industrial lubricants. Thus, the built fuzzy model can be utilized and generalized for effective demand forecasting for industrial products.

Abstract: Passive tracking of a target using bearings-only measurement which is carried out in underwater scenario is most widely used. This paper considers the problem of estimating the position and velocity of a target in an underwater scenario. The noise in measurement is more as underwater scenario is considered which leads to less accurate estimation.

Particle filter PF which is a non-linear filter is considered for this problem. In PF, all particles are assigned with weights based on their likelihood computed with respect to obtained measurements. The weights assigned to the particles, after certain time period tend to equal values called sample impoverishment.

The main difficulty using PF is sample degeneracy and sample impoverishment. Evaluation of the algorithm is assessed based on the best convergence time of the solution for many scenarios using MATLAB software. Abstract: Net Asset value NAV prediction is considered as a financial time series forecasting problem. Different linear and nonlinear time series forecasting models have been used in NAV prediction by various researchers. The individual models are trained with conventional LMS algorithm. It is a weighted linear ensemble model where the weights are optimized using a modified Whale Optimization Algorithm.

The empiricalforecasting performance of the modified Whale Optimization Algorithm based ensemble model along with GA and PSO based ensemble models and the individual models are analyzed. The results demonstrate that the proposed ensemble model outperforms the other models. The principle of separating control plane and data plane has opened up many opportunities for researchers to deploy new innovations.

The central and single point of managing the whole network is SDN controller.

Chapters in Books

This gives the system the weaknesses of being a single point of failure. Course Content : This is a second-level course in information theory. The students are assumed to have studied the basic concepts of information theory and capacity of point-to-point channels. The actual topics covered in class will be a selection from the following. Cover and Joy A. Thomas, Wiley. Speech Signal Processing. Reference Books : 1 T. Rabiner and R. Deller, J. Hansen, and J. Benetsy, M. Sondhi, Y. Huang eds.

Computational Photography. We will also introduce compressive sensing as part of the course as many computational cameras are indeed compressive sensing systems. Image formation and camera model 2. Coded computational imaging: Motion deblurring using coded exposure flutter shutter , focus deblurring using coded aperture 3. Multi-image techniques: Panorama, flash no-flash photography, high dynamic range capture, focal stack, aperture-focus stack 4. Light field imaging: Light field acquisition using camera array, lenslet array, programmable coded aperture, heterodyne light field camera.

Light field rendering. Compressive sensing and dictionary learning: L0-L1 norm equivalence, dictionary learning and sparsity-based reconstruction 6. Compressive computational imaging: Single pixel camera, flutter shutter video camera, coded strobing photography, programmable pixel compressive camera, pixel-wise coded exposure, compressive light field, compressive hyper-spectral imaging 7.

Illumination multiplexing, photometric stereo and structured light Text Books : 1. Computer Vision Algorithms and Applications, R. Szelisky, Springer, Raskar and J. Tumblin, A. Peters, 1st Edition, Hartley and A. Zisserman, Cambridge University Press, Foucart and H. Rauhat, Springer, Machine Learning for Computer Vision. Various probabilistic models are introduced first along with their associated learning and inference algorithms.

The computer vision problems are then formulated in terms of them. The course will also be useful for those exclusively interested in machine learning. Probability: Common probability distributions such as Gaussian, Bernoulli, Dirichlet, etc.. Fitting probability models. Machine Learning models and inference: Regression models such as linear regression, Bayesian regression, nonlinear regression, sparse linear regression.

Classification models such as logistic regression, support vector machine, relevance vector machine, classification tree. Graphical models: Directed and undirected graphical models; models for trees; Markov random fields; Conditional Markov fields. Image pre-processing: Per-pixel transformation; interest point detection and description; dimensionality reduction. Multi-view geometry: Pinhole camera; single view geometry; Projective transformation; Stereo and epipolar geometry; Multi-view reconstruction 6. Prince, Cambridge University Press, Pattern Recognition and Machine Learning, C.

Bishop, Springer, Pattern Classification, R. Duda, P. Hart and D. Stork, Wiley Forsyth and J. Ponce, Pearson, Computational Electromagnetics. Case studies : Light propagation in free space, in straight and bent dielectric waveguides, Propagation through photonic crystal structures, Couplers and Ring resonator structure. Solutions to EM problems using finite elements method : Cut-off values and eigen field distribution in Homogeneous waveguides, Vector formulation for determination of propagation constants and field distribution in inhomogeneous waveguides Case studies : Optical modes of rectangular waveguides, modes of a fiber, light propagation in waveguides Modeling of optical circuits in dielectrics : Beam Propagation Method Case studies : Long dielectric waveguides, Splitters, Interferometers Text Books : 1.

Allen Taflove. Computational Electrodynamics—The finite difference time domain method, Artech House, John L. Volakis, Arindam Chatterjee, Leo C. Finite Element Method for Electromagnetics. Kempel, Reference Books : NIL. Power Converter Analysis and Design. This course introduces the students to design aspects of various elements of both conventional and advanced power processing systems. This include both at the device level and also the system level. Three phase and cascaded bridge structure with phase shifting transformer. IGBT front end converter and their control in sync ref frame ref frames should be taken up in beginning section in machine modeling course for this — four quadrant operation — resistance emulation methods.

Advances in Space Vector Approach. Effect of dead time on performance and compensation schemes. Holmes, Thomas. Reference Books : 4. Mohan, T. Undeland and W. Modelling and Analysis of Electric Machines. The course lays the foundations for studying the dynamics of power systems and control of motor drives.

Computer Aided Design of Electrical Machines. The objective of the course is to introduce the students to the design perspectives of various electro-magnetic and electro-mechanical systems. It also aims to expose the students to the use of FE simulation tools in the design process. Course Content : Design Perspective of Electromagnetic Equipment - relevance of computer tools in machine design and the design process.

Magnetic Field, inductance and magnetic circuits. Ferromagnetism - properties of ferromagnetic materials. Permeability and its various forms - initial, amplitude, incremental, reversible, effective and complex permeability. Soft and Hard magnetic materials. Types of steel - properties and standards. Current materials, ferrites, amorphous and nano-crystalline. Windings - materials, skin effect. Conductor in a slot - leakage fluxes and current density variations - loss comparison of single bar and subdivided conductors.

Conductor transposition. Types of windings - form and random, litz Solenoid Design - geometry and force prediction, design for specifications. Force from energy considerations and inductance variation. Transformer Design: basic design equation, winding layers and the design process. Leakage inductance estimation - use of FEMM in design and validations. Machine Design - derivation of the fundamental design equation and machine constant - arriving at main dimensions of a machine. Carter's coefficient and its use in determining air gap flux density. Permanent magnet materials and their characteristics - design and magnet selection for magnet-core-air gap geometry - temperature effects - selection of operating point.

Stator design - integral slot and fractional slot winding. Use of slot star diagram. Distribution factor, pitch factor. Examples of winding design - single and double layer - symmetry conditions. Skew factor and slot harmonics. Switched Mode Power Conversion. Erickson and D. Kazmierkowski, R. Electric Vehicles and Renewable Energy.

Centralised and Decentralised Power generation systems using Solar PV: technology and economics; solar-DC systems; bi-directional grid synchronisation 4. Centralised and Decentralised Wind Power systems: technology and economics 5. Other Renewable Energy sources 6. Grid-storage for Renewable Energy 7. System level analysis of power consumed in EVs; Electric Vehicle architecture and sub-systems 8. Batteries for EVs 9. EV Chargers and battery-Swappers Cost-challenges of EVs in India and the world Electric 2-wheelrs, 3-wheelers, 4-wheelers, buses, small goods-vehicles Text Books : 1.

Goodarzi, Wiley Publication. Reference Books : additional materials will be announced in class. Digital Controller for power Applications. Digital Control of Dynamic Systems Gene. Franklin, J. David Powell, Michael Workman. Robust Optimal Control. And the control design techniques presented therein have now become classical. This course will introduce students to modern control design techniques. Specifically, the course deals with design of controllers for MIMO systems with emphasis on H8 methods. Transfer-functions, Frequency response, Poles, Zeros and Modes.

Norms and Cost functions. Robustness: Internal Stability, Structured and Unstructured uncertainty models and their robustness analysis. Reference Books : Computer Methods in Power Systems Analysis. Tech and Dual Degree students Extended Tutorial: 0 Outside Class Hours : 6 Total Hours PerWeek : 9 Description : The objective of the course is to give an introduction to the computational algorithms for various analyses required for power system operation.

Course Content : Load flow studies — triangular factorization, sparse matrix techniques Fault analysis — open conductor faults Economic dispatch with losses State estimation — method of least squares, observability, bad data detection Contingency analysis — use of dc model, linear sensitivity factors Stability analysis — computation of eigenvalues, numerical integration of differential and differential-algebraic equations Text Books : 1. High Voltage Technology.

Text Books : E. Kuffel, W. Zaengl and J. Large Scale State Estimation. Contingency Analysis and Network Outage Simulation. Solution methods, Case Study and Simulation Examples. Frauendorfer, K. Wood, A. J and Wollenberg, B. Arillaga, J. Knight, U. Handschin, E. Reference Books : 3.

Richard A. R William Payne, John J. Power Quality. It brings clarity on various issues related to power quality problems, their quantification, analysis and interpretation. In this course, students will develop skills to analyze power quality in power systems and provide appropriate solutions using custom power devices. Power quality aspects in power system, power quality indices, power quality standards, terms and definitions. Study on various transformations to analyze three phase systems. Power definitions and components for single phase and three-phase systems.

Theory of fundamental unbalanced load compensation. Theories of load compensation with unbalanced and harmonic components shunt active power filters or compensators, working of DSTATCOM, design and performance aspects. Shunt and series compensation using UPQC. Ledwich, Kluwer Academic, Dugan, Mark F. McGranaghan, Surya Santoso and H. Wayne Beaty, McGraw-Hill, 2nd edition, Akagi, Edson H. Watanabe, M. Aredes, Wiley, Flexible AC Transmission Systems. To expose the students to an emerging technology whereby existing transmission network can be better utilized by increasing its usable capacity 2.

Padiyar, New Age International Publishers, Higorani and L. Mathur and R. Song and A. Distributed Generation and Microgrid Systems. The course introduces the students to microgrid systems, its various components, control and operation. The emphasis will be laid on understanding of integrated operation of microgrid system interacting renewable generation, storage, local load and ac grid. Course Content : Introduction to AC and DC microgrid systems, distributed generation consisting of AC and DC type renewable energy sources RES with a focus on photo voltaic and wind energy systems, their modeling, analysis, design and applications in microgrid connected systems.

Storage systems consisting of battery, supercapacitors, their modeling, analysis, design and applications in microgrid, integration of storage system with the DC grid using bidirectional DC-DC converters. DC and AC grid integration using voltage source converters VSC , control strategies for VSC to operate it in standalone or grid connected mode, power flow, energy management systems and power quality issues in microgrid systems.

Text Books : S. Chowdhury, P. Crossley, S. Analog Electronic circuits. Digital IC Design. Characterize the key delay and power quantities of a standard cell 2. Design a circuit to perform a certain functionality with specified speed 3. Identify the critical path of a combinational circuit 4. Convert the combinational block to pipelined circuit 5. Explain the functioning of a CMOS inverter 2. Explain the Voltage Transfer Characteristics of an inverter 3.

Derive an expression for the trip point of an inverter 4. Derive an expression for the delay of an inverter driving a load 5. Derive expressions for Static, Dynamic and Short Circuit power of an inverter. Explain the optimum voltage for minimum energy consumption 7. Explain the noise margin of an inverter and qualitatively explain minimum VDD Interconnects 1. Explain the origin of parasitics and build simple RC models for interconnects 2. Use Elmore delay model to estimate wire delay 3.

Explain the conditions for using a lumped, lumped RC, distributed rc and transmission line Combinational Logic 1. Explain logical effort LE and electrical effort EE 2. Derive the optimum number of buffers with their sizes to drive a load. Derive logical effort for any gate built in any style of logic 5. Optimize the path delay of arbitrary gates driving a load capacitance 6. Implement logic functions using ratio'd logic 7. Explain basic domino logic 9. Explain stacking effect and the use of sleep transistors Sequential Circuits 1.

Build elementary sequential circuits like latches and flip flops 2. Explain the origin of set up and hold time 3. Design a pipelined system to satisfy a throughput. Account for clock jiter and skew while designing pipelined systems 6. Calculate the maximum clock frequency of operation of a pipelined system Arithmetic Building Blocks 1. Construct CMOS circuits for basic full adders 2. Explain basic multipliers and it's variants. Booth multiplier Memories 1.

Size the 6 transistors for functionality 3. Digital Integrated Circuits Jan M. VLSI Technology. The course, mostly restricted to silicon ICs, is divided into two parts. First, the unique structure of silicon is introduced and production of silicon wafers is discussed. The unit processes required for IC manufacturing, viz oxidation, diffusion, lithography, etching, etc are each discussed in detail. There is emphasis on improving the performance and reliability. Some recent trends in silicon ICs will also be covered. Plummer, M. Deal and P. Semiconductor Device Modelling.

Course Content : Semiconductors: Energy bands; Thermal equilibrium carrier concentration. Excess carriers, quasi Fermi levels; Recombination of carriers, lifetime. Carrier transport by drift, mobility; Carrier transport by diffusion; Continuity equation. Diffusion length. Quantitative theory of PN junctions: Steady state I-V characteristics under forward bias, reverse bias and illumination. Dynamic behavior under small and large signals. Breakdown mechanisms. Quantitative theory of bipolar junction transistors having uniformly doped regions. Static characteristics in active and saturation regions.

Emitter efficiency, transport factor, transit time. Analysis of MOS capacitor. Calculation of threshold voltage. Bhat and M.

Lecture 2: Seismic Principles 2

Analog IC Design. Introduction to IC design and concepts 2. Noise and mismatch in analog design 3. Advanced concepts in Negative Feedback 4. One-stage opamps 5. Two-stage opamps, compensation 6. Fully differential opamps 7. Advanced Electrical Networks. Course Content : Introduction: Review of linear electrical networks. Two port treatment using the scattering matrix — the Vector Network Analyzer.

Reciprocity, Duality and Interreciprocity, Bode Sensitivity. Advanced Frequency compensation techniques. Noise in linear time invariant networks. Linear time varying and linear periodically time varying LPTV system analysis. Periodic transfer functions, Periodic AC analysis. Phase noise in oscillators. Weakly nonlinear networks and the Volterra Series formulation — applications to Filters and data converters. Text Books : None. Power Management Integrated Circuits. What are different components of a power management system with focus on dc-dc converters.

How to design a chip level dc-dc converter from a given system level specifications. Students should be able select various parameters such as switching frequency, inductor and capacitor values for best performance and efficiency. Course Content : Unit Introduction to Power Management and Voltage Regulators Need of power management, power management applications, classification of power management, power delivery of a VLSI system, power conversion, discrete vs.

PMOS regulator, current regulator. Unit Switching DC-DC Converters and Control Techniques Types Buck, boost, buck-boost , power FETs, choosing L and C, PWM modulation, leading, trailing and dual edge modulation, Losses in switching converters, output ripple, voltage Vs current mode control, CCM and DCM modes, small signal model of dc-dc converter, loop gain analysis of un-compensated dc-dc converter, type-I, type-II and type-III compensation, compensation of a voltage mode dc-dc converter, compensation of a current mode dc-dc converter, hysteretic control, switched capacitor dc-dc converters.

Fundamentals of Power Electronics, 2nd edition by Robert W. Text Books : K. Wanhammar; papers and online reference material. Micro Electro Mechanical Systems. Threshold voltage. Tunnelling current. Quantum mechanical effects Capacitances, concept of non-reciprocal capacitances. Dynamic behaviour under small and large signals. Surface potential and charge based models. Model parameters and their extraction. Taur and T. Nicollian and J.

Compound Semiconductors - Properties and Applications. Tech, MS and Ph. Piprek, Wiley-VCH, Fundamentals of solar cells: A. Fahrenbruch and R. Textbook 2. Physics of semiconductor devices 2nd Ed. Semiconductor physics and devices, D. Review papers and other referred materials will be distributed in class. Introduction to Plastic Electronics. Course No : EE Course Title : Introduction to Plastic Electronics Pre Requisite : Extended Tutorial: 0 Outside Class Hours : 6 Total Hours PerWeek : 9 Description : To give an exposure to the basics of Plastic Electronics, a topical field of study, involving electronic and optoelectronic devices those are compatible to the flexible substrates, enabling inexpensive processing techniques, mechanically flexible and less power consumption.

Sun, L. Sun, N. Literature: Journal and Conference papers, Articles, Review. Electronic and Photonic Nanoscale Devices. Free and Confined Electrons: Free electrons; the free electron gas theory of metals; electrons confined to a bounded regions of space and quantum numbers; Fermi level and chemical potential; partially confined electrons — finite potential wells; electron confined to atoms — the hydrogen atoms and periodic table; quantum wells, wires and dots.

Electron Transport in Semiconductors and Nanostructures: Crystalline materials and periodic potential; time and length scales of electrons in solids; band theory of solids; statistics of electrons in solids and nanostructures; the density of states of electrons in nanostructures; electron transport in nanostructures; graphene and carbon nanotubes. Fundamentals of Nanoelectronics by George W. Hanson, First Edition by Pearson Education 2.

Applied Quantum Mechanics by A. Introduction to Nanoelectronics by V. Mitin, V. Stroscio Cambridge 2. Introduction to Nanophotonics by S. Gaponenko Cambridge. Linear Algebra Techniques for data analysis and modelling. Linear algebra tools required for data analysis and dimensionality reduction 2. Reduced order modelling: Subspace projection methods for efficient analysis of dynamical systems, in particular for circuit simulation.

Course Content : Vector spaces, spaces associated with a matrix, linear transformations, similarity transformations. Solution of linear system of equations, LU and QR decomposition, orthogonal and oblique projections, pseudo-inverse, singular value decomposition. Applications to data analysis: Regression, Principal component analysis, factor analysis, linear discriminant analysis, compressed sensing.

Application to modelling: System identification, dimensionality reduction of a system of differential equations, Krylov subspace techniques, data-driven modelling. Dan A. Simovici, Linear Algebra tools for data mining, World Scientific 3. Nathan Kutz, Data driven modelling and scientific computation, Oxford Universit press. Strang, Linear Algebra and its applications. Analog and Digital Circuits. Course Content : Ideal opamp : Linear circuits: basic circuits like integrator, practical integrator, buffer, inverting, non-inverting, differential and instrumentation amplifiers, current sources floating and grounded loads, negative impedance converter, generalized impedance converter.

Real opamp Performance parameters: Static limitations, Dynamic limitations, Input-output swing limitations, compensation techniques. Closed-loop stability: Feedback stability issues and frequency compensation methods. Noise in opamps. Switched-capacitor circuits. Applications: Non-linear circuits-Comparators, Schmitt trigger, precision rectifier. Digital: NMOS and CMOS inverters, Digital-overview, timing analysis, static and dynamic hazards, Latches, racing, master salve flip-flops, characteristic equations, sequential circuits, Synchronous state machine analysis, Moore and Mealy machines, state table, state diagram, design of synchronous state machines.

Laboratory experiments:. Negative Feedback Amplifiers and Instrumentation Amplifiers 2. Design, implementation and testing of analog active second order low pass, high pass, band pass and band reject filters. Design, implementation and testing of multiple feedback band pass filter, Twin-T type notch filter and all-pass filter. Signal Conditioning Circuit for Resistive Transducers. Voltage Controlled Pulse-Width Modulation. Understand the operation of Analog-to-Digital Converters and Timers modules in microcontrollers and use these in some suitable applications.

Wakerly, John F. Digital design. Introduction to DSP. Sampling: Impulse train sampling—relationship between impulse trained sampled continuous-time signal spectrum and the DTFT of its discrete-time counterpart—scaling of the frequency axis—relationship between true frequency and digital frequency—reconstruction through sinc interpolation—aliasing—effects of oversampling—discrete-time processing of continuous-time signals.

Lathi and R. Mathematical Methods in System Engineering. Introduction to vector spaces: Systems of linear equations, Subspaces and bases, Orthogonal bases and orthogonal projections, Gram-Schmidt process, Linear models and least-squares problems, Eigenvalues and Eigenvectors, Symmetric and positive definite matrices.

Functions on Euclidean space: Subsets of Euclidean space, Norms and inner product, Functions and continuity, Sequences and convergence. Calculus on Manifolds: Existence and uniqueness of solutions of ODEs, Derivatives, partial derivatives, Inverse and Implicit function theorem, Introduction to Manifolds, tangent bundle, vector fields, Lie brackets, distributions and Frobenius theorem.

Text Books :. Mathematical Analysis by Tom M. Apostol, Narosa Publishing House, Calculus on Manifolds by Michael Spivak, W. Benjamin, Inc. Finite-dimensional Vector Spaces by Paul R. Linear Dynamical Systems. This course forms the prerequisite for all advanced control courses. Models of physical and biological systems-- simple pendulum, segway scooter, consensu protocols for sensor networks, gene regulatory networks2.

Minimal realization, Smith-McMillan form5. Reachable and controllable subspaces, Controllability and observability Gramians, Kalman and Popov-Belevitch-Hautus PBH test for controllability and observability, Controllable and observable canonical forms7. Lyapunov stability, Lyapunov equation, Eigenvalue conditions for Lyapunov stability, Separation principle, pole-placement and observer design9. Joao P. Panos J. Antsaklis and Anthony N. Optical Engineering. The course will also study specific engineering examples. Interferometry Diffractive Optics and holography Advanced topics in optical engineering 3.

Ghatak Modern Optical Engineering by W. Smith Optics for Engineers by C. Fiber Optic Communication Technology. Wave Propagation in Communication. Introduction to Photonics. Fundamentals - Ray optics, wave optics, electromagnetic optics, photon optics - Polarization optics - Nonlinear optical phenomena 2. Bhasker, Coding guidelines and software tutorials, Xilinx. Smart Power Grids. Need and Benefits of Smart Grid.

Divers for Smart grid, functions, opportunities and challenges.

Difference between conventional and Smart Grid. Ekram Hossain, Zhu Han and H. This course is intended to cover the fundamental aspects of optical communication with advanced modulation formats - generation and detection, basic digital signal processing tools to recover the data, and optical networks in the context of advanced modulation formats. At the end of the course, the participant will be able to 1. Describe the basic building blocks of an optical coherent communication system 2. Identify the laser sources and detectors used for coherent communication systems 3.

Explain the generation and detection of advanced modulation formats at the physical layer 4. Demonstrate basic digital signal processing to recover data encoded in advanced modulation formats 5. Analyse the working of an optical network in the context of advanced modulation formats 6. Design a optical communication link based on coherent receivers and advanced modulation formats Course Content : 1. Optical Communication- Physical Layer a. Introduction to optical communication b.

Advanced modulation formats -generation c. Coherent detection d. Impairments in coherent communciation systems e. Noise in the detectors, quantum limit, BER analysis 2. Signal processing for advanced modulation formats a. Clock recovery and timing error correction b. Phase noise and freq offset compensation c.

Dispersion compensation d. Polarisation demultiplexing and PMD compensation 3. Coherent techniques in Optical networks a. Wavelength division multiplexed systems c. Optical switching and routing d. Advanced modulation formats in optical networks —back bone and metro networks networks e.

Advanced modulation formats in access networks - Passive optical networks f. Elastic 4. Current research systems 2 Lectures- Liam Barry a. Optical OFDM systems b. Other research systems 5. Computer simulation modules a. Characterization of optical communication system b. Nakazawa, K. Kikuchi, T. Miyazaki Eds. Fiber Optic Communication Systems; 4th ed.

Agrawal, Wiley-Blackwell, Srivastava, Academic Press, Kaminow et al, Academic Press, Introduction to Research. An important aspect of this course addresses healthy practices from psychological perspective namely, the research management apart from the resulting stress management without compromising on personal quality time. Part B: Nature of Mathematics and Natural Sciences: Main components of mathematics, viz, logic, reasoning, quantification, conjectures, theorems, lemmas and their application to real world engineering problems through modeling. B Beveridge, W. Krishnan Nallaperumal "Engineering Research Methodologies", 1st edition, 3.

Luis M. Research Topics in Electrical Eng. It will teach, at the level of IIT graduate students, an understanding of the principles, analysis and design of Permanent Magnet Motors. At the end of the subject a student will have the capability of designing and constructing a suitable PM Motor for his chosen application. In addition to design, students will also learn how to estimate the dynamic parameters of PM Machines and understand what the implications of those parameters are on performance of systems incorporating those machines.

Examples taken from current research include some set of: 1. Inner rotor PM Synchronous Motors such as the machines that are used for traction drive of an electric vehicle. Since we are attempting to use such machines in our research into 3 wheeler propulsion, we will spend a little effort at trying to figure out how to optimally control them.

If time permits, we might consider some other applications such as "white goods" like washing machines, refrigerators, air conditioners etc. We assume that the students are smart and self-motivated, require little hand-holding and know when to seek help. Heavy emphasis will be placed on the assignments, with a mix of problems from textbooks and others suggested by current research. There will alsobe two quizzes and a three-hour final exam.

Completing the problem sets will be the most important way of learning the material. The problem sets will require some heavy lifting and one may want to have a program to help out. Hendershot Jr. There are also additional texts that might be of interest and used for future reference:. Adaptive Signal Processing. The design and performance of adaptive filters are discussed. Two classes of algorithms -- stochastic gradient algorithms and least squares algorithms -- to adapt the coefficients of a linear filter are discussed in detail.

Alexander D. Poularikas, Zayed M. Widrow and S. Topics in Random Processes and Concentrations. Martingale and measure concentration techniques are becoming increasingly popular is various active areas of research, such as machine learning, resource allocation, complex networks, information theory and coding theory. It is hoped that this course would equip the students with the requisite familiarity and conceptual grasp to tackle various contemporary analysis and proof techniques. A nuanced look at Conditional Expectations 4 classes a.

The Hilbert Space L2 - covariance as an inner product b. Conditioning on sigma-algebras c. Filtrations — sequence of sigma-algebras evolving in time 1 class 3. Random Walks 4 classes a. Martingales classes a. Definitions, basic properties b. Kolmogorov Submartingale Inequality d.

Martingale Convergence Theorems and applications Polya urn, stochastic approximation, population extinction, polar codes etc. Exchangeability and Zero-One Laws classes a. Concentration of Measure and applications classes a. Logarithmic Sobolev Inequality d. Advanced Topics in Signal Processing. Digital Filter Design. FIR Filter Design: Review of conditions needed for precise linear phase--design techniques for linear phase FIR filters: a windowing method, b frequency sampling, c weighted Chebyshev approximation.

Quantization Effects: Review of binary representation of numbers--truncation and rounding--coefficient quantization--roundoff noise--interaction of roundoff noise and dynamic range--scaling for parallel and cascade forms--limit-cycle oscillations--state-space structures--error spectrum shaping via feedback. Digital Signal Processing by Sanjit K. Multirate Digital Signal Processing. Oppenheim, Ronald W. Multi-Antenna Digital Communications. Tse, P. Biglieri, R. Calderbank, A.

Constantinides, A. Goldsmith, A. Paulraj, H. Huang, C. Papadias, S. Sanguinetti and H. Advanced Topics in Communications. Network information theory: multiple access channels MAC , Gaussian multiple access channels, fading multiple access channels; coding of correlated sources - Slepian-Wolf coding, linear coding of distributed sources; broadcast channelsNetwork coding: min-cut max-flow theorem for unicast networks, multiple unicast networks and network coding, linear network coding, deterministic algorithm for code design, random linear codes, approaches and results for non-multicast networks, function computation.

Text Books : Reference Books : 1. El Gamal and Y-H. Stochastic Modeling and the Theory of Queues. A short tour through basics not very measure theoretic of axiomatic probability theory, convergence, and laws of large numbers. Discrete time Markov chains: class properties, stationary distribution, hitting and mixing times, coupling, and applications to queues and social networks. Renewal theory: elementary renewal theorem, Wald's lemma, renewal reward theorem, and batch biasing brief discussion on Key and Blackwell's renewal theorem.

Poisson process. Continuous time Markov chains: stationarity, time reversal, Kelly's lemma, reversibility, and applications to social networks and queues. If time permits Chernoff bound and introduction to large deviations; Martingales and concentration. Advanced Topics in Networks. Course Content : Selection of topics from the text book.

Power Electronic Control of Electric Machines. This course introduces the students to various motor-load coupling arrangements, power ratings selection, performance characteristics etc. Thermal considerations for motor rating and overloads. Quadrants of operation. Stability considerations. Duty classes S1 — S10 and IP class.

Relevant standards. DC Drives SCR bridge 3-phase based drive: power circuit operation — continuous and discontinuous conduction — torque ripple. Line reactors for harmonic reduction. Modeling of drive and control system design, example. Control by back emf estimation. Two quadrant operation. H-bridge controlled drive and four quadrant operation Dual Converter based drives and control strategy for reversible operation. Slip energy recovery scheme — static Kramer drive — estimation of performance curves and control principles.

Current Source Inverters and their usage for induction motor control - characteristics of CSI controlled drives. Triggering Schemes for CSI. Leonhard, Control of Electrical Drives, Springer, 3rd ed. Power System Control and Stability. This course introduces the students to modeling of power system components for analyzing system stability. Methods of analyzing and enhancing power system stability are also dealt with. Peter W. Sauer and M. Paul M. Anderson, A. DC Power Transmission Systems. To present a power transmission technology 2.

Kimbark, Direct Current Transmission, Vol. I, John Wiley, 2. Adamson and N. Restructured power systems. In this context this course will introduce the concept of deregulation and the operation of electricity markets under deregulation. Course Content : Introduction: Vertically integrated power systems, unbundling, need for deregulation, benefits of deregulation, experience of deregulation in some of the developed countries and Challenges in deregulating electric markets in developing countries.