https://orcid.org/0000-0003-1761-217X
The current issue of the IETE Journal of Research (Vol.68, No.4, Jul-Aug 2022) contains 70 articles. These articles present ongoing research and developments taking place in the broad areas of electromagnetics, computer science, electrical and electronics engineering, microelectronics, information technology, power systems, biomedical engineering and signal processing.
The paper “Design of Meander Line Monopole Antenna Array based Hilbert Shaped Reject Band Structure for MIMO Applications” presents the EM band gap (EBG) structure of a meander monopole 2D antenna array. The design is aimed for telecom applications including MIMO systems. EBG defect operation in combination with EBG slots is used to achieve negative refractive index. Fractal structures are added to introduce circular polarized radiation characteristics also. Simulation studies are presented followed by the performance study of a fabricated antenna to draw inferences.
In “A Novel Distributed Matching Global and Local Fuzzy Clustering (DMGLFC) for 3D Brain Image Segmentation for Tumor Detection”, an image segmentation algorithm is presented for use in 3D MRI brain images. It uses fuzzy objective function based on entropy measure to estimate the uncertainties of various classes. The algorithm is evaluated and compared with the prior art and inferences about its efficacy are made.
The next paper titled “Linear Algebra on Parallel Structures using Wiedemann Algorithm to Solve Discrete Logarithm Problem,” presents studies on Wiedemann algorithm for the solution of system of linear equations such as Ax = 0 mod (2n-1). Algorithms for three cases of naïve Wiedemann, paralleled version and client-server version are presented and analyzed. Their efficacy is presented through computer implementation.
In “Analytical Prediction of Optimal Split Ratio for Short-Time Duty PM Brushless DC Motors Considering Winding Thermal Limitation,” the authors present an optimization method between torque and winding temperature of a permanent magnet brushless DC motor. The analytical relation between torque, losses and split ratio are derived. The method is studied through finite element simulation and experimental tests. Results are presented from the studies.
The following paper on “An Optimized DTW Algorithm using RMSE Approach to Classify the Liquids in Ka-Band,” presents an algorithm to classify liquids with high level accuracy using transmission parameter of liquids with microwave spectroscopy. The S21 parameter is used for this purpose. The algorithm’s potential in classifying different liquids is discussed.
The paper titled “Design of Tri-band Microstrip Patch Rectenna for Radio Frequency Energy Harvesting System” presents the design of a tri-band patch antenna integrated with a rectifier circuit for RF energy harvesting purposes. The design is given for low power wireless sensor networks. The simulation modelling and fabricated device performance are discussed.
The next paper on “Truncated Ground Plane Multiband Monopole Antenna for WLAN and WiMAX Applications,” gives a design of a low profile multiband printed monopole antenna with rectangular patch and truncated ground plane. It is aimed for wireless LAN and WiMAX applications with gain and efficiency targeted for all the three constituent bands. The paper presents the performance results from analysis, simulations, and measurements.
The following paper, titled “Effect of Charge Bump Position Shifting on Negative Resistance and Noise Performance of Lo-Hi-Lo IMPATT,” presents simulation study of charge bump shifting on the various microwave parameters of semiconductor-based DDR IMPATT structures. Inferences regarding suitability for optimum Ka-band design are made from the study.
In the paper “Impact of Intelligent Demand Response for Load Frequency Control in Smart Grid Perspective,” authors present the work on impact of intelligent demand response control loop with communication delay in a single area thermal power system integrated with wind power generation system. The study is presented for load frequency control from smart grid application. The paper also presents a controller to minimize frequency deviations due to communication delays. The paper presents performance results to make inferences about the given control strategy.
The following paper titled “Designing a Quasi-Z-Source Inverter with Energy Storage to Improve Grid Power Quality” presents the design of a quasi-Z-source inverter that reduces current ripples, relative amplitude of harmonics and waveform distortion. The topology is presented along with mathematical modeling and computer simulations to justify the efficacy of the design.
In “Slit Loaded Textile Microstrip Antennas,” the performance of wearable antennas in the context of body area networks is considered. Textile antennas use the textile material for its substrate or patch. Circular polarization is achieved by inserting slits at the periphery of the patch. The authors study four types of textile antennas with wash cotton and denim substrate and compare the performance with standard substrate antenna for circular polarization, gain and return loss. The specific absorption rate is measured. The paper presents results of performance of the designed antenna to infer that radiation is within prescribed limit.
The paper titled “Breast Tumor Detection in Digital Mammogram Based on Efficient Seed Region Growing Segmentation” presents a method for breast tumor detection from digital mammogram. The algorithm steps are described and comprise of extraction of region of interest, binarization process, determination of seed points and their positioning in the breast image. The performance is studied on publicly available mammogram databases and compared with prior methods to draw inferences.
The next paper “Multi-focus Image Fusion Based on Multi-resolution Pyramid and Bilateral Filter” addresses the problem of focusing of objects in a scene from multi-focus images with different focal points. The paper presents texture features that are used to determine weight map function that control the transformation of details from multifocal images into a single fused image. The performance of the algorithm is studied and presented.
The following paper “Coronary Artery Heart Disease Prediction: A Comparative Study of Computational Intelligence Techniques” compares several classification techniques for coronary heart disease. Logistic Regression (LR), Support Vector Machine (SVM), Deep Neural Network (DNN), Decision Tree (DT), Naïve Bayes (NB), Random Forest (RF), and K-Nearest Neighbor (K-NN) are studied on standard dataset and compared using different evaluation measures. Inferences are made about the efficacy of the techniques.
In “Feature Selection and Instance Selection from Clinical Datasets using Co-operative Co-evolution and Classification using Random Forest” the authors present feature selection and instance selection methods for Clinical Decision Support System (CDSS). An approach of cooperative coevolution is taken wherein the two methods are considered as independent sub-problems. Several datasets are used in the paper to determine the accuracy of inferencing.
The next paper “Millimeter-Wave in the Face of 5G Communication Potential Applications” presents a review of millimeter-wave applications in 5G communications. The applications considered in the review include radar systems, radio communication, radiometry, atmospheric sensing, and satellite imagery.
The paper titled “Modified Grey Wolf Randomized Optimization in Dementia Classification Using MRI Images” presents study of an optimization method for brain MRI image binary classification into dementia and non-dementia. The study uses cross-sectional MRI of subjects. The paper addresses the problem of low accuracy of grey wolf optimization with further processing steps to improve the accuracy. These are described in the paper along with the performance achieved.
The following paper on “A Novel Method of Health Services Website for Myocardial Infarction Prediction in Online Health” presents a model for feature selection of health services website for myocardial infarction prediction and online health marketing. A case study is presented on a hospital. Inferences are drawn about the importance of different factors for health marketing on the health services website.
The next paper, titled “Robust and Intelligent Type-2 Fuzzy Fractional-Order Controller-Based Automatic Generation Control to Enhance Damping Performance of Multi-Machine Power Systems,” present an adaptive gain control (AGC) algorithm to improve damping performance of multi-machine power systems. The AGC controls the interchange power flow deviations to dampen frequency and tie-line power deviations. Perturbation studies are reported, and the dynamic performance is compared with conventional methods.
In “Dynamic Fractional-Order Sliding Mode Strategy to Control and Stabilize Fractional-Order Nonlinear Biological Systems,” the authors address the problem of stabilizing fractional order nonlinear systems in presence of uncertainties and disturbances. Fractional order sliding mode control is used for stabilization and fast convergence of the controller. The sufficiency conditions for stabilization are derived. Further the paper presents examples to illustrate the performance of two sliding mode controllers.
The paper on “New Electronically Tunable Low-frequency Quadrature Oscillator using Operational Transresistance Amplifier” presents the design of an electronically tunable low-frequency quadrature sinusoidal oscillator based operational trans resistance amplifier. The design achieves several desirable properties of oscillators. The design is studied in simulation environment and compared with theoretical derivation and inferences about the performance are presented.
The next paper titled “FloVasion: Towards Detection of non-sensitive Variable based Evasive Information-Flow in Android Apps,” discusses about smartphone application attacks that can evade information flow analysis from a leak sensitive device. The paper shows how sensitive information can be leaked during normal operations. The attack applications are studied on state-of-the-art static and dynamic analysis tools to bring out their vulnerabilities. Further a runtime monitor is presented to detect information flow misuse that can be integrated in application analysis techniques.
The paper, entitled “An Optimal Time-Based Resource Allocation for Biomedical Workflow Applications in Cloud,” addresses the problem of large volume of data for biomedical workflow applications and their scheduling through cloud computing. It presents scheduling algorithms for efficient utilization of computational resources. The performance of the algorithms is tested on real world biomedical workflow applications and compared with existing methods to make inferences.
In “Determining the Optimal Operating Point of CHP Units with Nonconvex Characteristics in the Context of Combined Heat and Power Scheduling Problem,” the authors investigate the optimal operating point determination of combined heat and power (CHP) units and electrical and heat-only units. The generation scheduling problem to determine the optimal operating point of generating units is addressed in the paper. It considers the variables such as total operating costs of the system, and technical and economic constraints.
The following paper on “Control of Three-Phase Induction Machine Drives during Open-Circuit Fault: A Review” presents a review of the control mechanisms of three-phase induction machine drives during open circuit faults. The control methods are classified based on Magneto-Motive Force (MMF), Transformation Matrices (TMs), and harmonic injection. Each class is reviewed in terms of reported state-of-the-art methods.
The next paper on “Unknown Resistive Torque Estimation of a Rotary Drilling System Based on Kalman Filter” presents a method to estimate the unknown input torque of a rotary drilling system using Kalman filtering. The major difficulty to be tackled is the nonlinear response of a rock-bit. Its performance is compared to that of a pole placement method and has been studied on an experimental equivalent system.
The paper titled “VEP Detection for Read, Extempore and Conversation Speech,” presents a method for the accurate detection of vowel end points (VEPs) from speech. It is generalized to work for conversational speech, extempore speech and read speech that have inherently different characteristics. The efficacy of the method is studied on TIMIT and other speech corpora and is compared with other existing methods to draw conclusions.
In the paper titled “A Modified Tunable – Q Wavelet Transform Approach for Tamil Speech Enhancement”, the authors present a wavelet transform method for Tamil speech enhancement. The method is tested on different noise conditions and the enhancement is measured using both objective and subjective quality measures.
The following paper on “Fast and Energy-Efficient Block Ciphers Implementations in ARM Processors and Mali GPU,” concerns with the fast implementation of block ciphers such as conventional block cipher (AES) and lightweight block ciphers (CLEFIA, SIMON, SPECK and PRESENT). The energy efficiency is analyzed for CPU and GPU for embedded system implementations. It is inferred that embedded GPU computes block ciphers faster than conventional CPU, and consumes significantly less power.
The next paper, titled “Ocular Artifact Suppression in Multichannel EEG Using Dynamic Segmentation and Enhanced wICA,” presents an algorithm for ocular artifact suppression in multi-channel EEG signals. A dynamic segmentation method is presented that helps preserve brain neural activity compared to static segmentation. The performance is tested and discussed in the paper.
In the paper on “Analysis and Classification of Three Trimesters during Normal Pregnancy using Bispectrum,” the authors present the analysis and classification of maternal status during healthy pregnancy and postpartum using bispectral features of heart rate variability (HRV). Bispectral features particularly help in identifying phase coupling that is higher during postpartum compared to pregnancy. Features are selected for classification and studied for their efficacy in classification.
The paper titled “Enhancement in the Vision of Branch Retinal Artery Occluded Images using Boosted Anisotropic Diffusion Filter – An Ophthalmic Assessment” studies the enhancement in the vision of branch retinal artery occluded images using a diffusion filter for ophthalmic evaluation systems. The performance of a boosted anisotropic diffusion filter is seen to be accurate for retinal examination by radiologists.
The paper on “Design and Implementation of Robust Low Power ECG Pre-processing Module” presents the low power digital system design of an ECG pre-processing board module on FPGA. The pre-processing steps include removal of interfering signals and noise in the form of Electromyography, Base Line Wander and Power Line Interference. The computational performance window functions and filter architectures are reported for the wearable and portable ECG module application.
The next paper titled “Design and Study of Novel Tunable ELF-PEMF System for Therapeutic Applications” presents the development work of a non-invasive extremely low frequency (ELF) pulsed EM field (PEMF) device for accelerating the process of healing of wounds by reducing microbial infections. The motivation for this approach lies in the disadvantages of associated toxicity and harmful side effects of pharmaceutical products for achieving wound healing. The device design is studied in simulations and has flexibility of choice of waveform parameters. Experiments are conducted in controlled environments on colony forming units assay as per exposure guidelines and results of reduction in numbers are reported.
In “Analysis of Compressed Foetal Phono-Cardio-Graphy (PCG) Signals with Discrete Cosine Transform and Discrete Wavelet Transform” presents a technique for Foetal Phonocardiography (PCG) signal using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT). The objective of the work is to reduce memory and transmission data bandwidth for remote analysis. The performance of these compression schemes is reported in the paper.
The paper on “An Efficient-Optimized Feature Selection with Machine Learning Approach for ECG Biometric Recognition” presents the study of optimized feature selection algorithms for automatic biometric recognition system with the use of electrocardiogram (ECG) signals. The quality of features is analyzed through the performance of corresponding classifiers on publicly available databases. The results are analyzed, and inferences are presented.
In “The Blood Vasculature of the Retina using Routine Segmentation” addresses the issues of classical angiogram techniques using coloring of the retinal paths by florescent dyes. The segmentation of blood vessels helps in enhancing the statistical accuracy of intra-retinal layer thickness for identification of human retinal diseases. The paper presents a method using Gabor filters to divide retinal images into linear and curvature segments to obtain vessel trajectories. The performance of the automated method of vessel construction is discussed from the perspective of reducing false positives and better construction.
The following paper titled “Patterned Ground Shield for Inductance Fine-tuning” provides a design for a tunable inductor that uses the patterned ground shield to enable fine-tuning capability for controlling sensitive circuits like oscillators in IC design. The design is also relevant for multi-frequency operation of power amplifiers and low noise amplifiers. The novelty of the tunable inductor for this work is discussed. The authors present the design details and performance of the tunable inductor and discuss the simulation performance of integration in a power amplifier.
The next paper titled “Near -Perfect Time -Frequency Analysis of Power Quality Disturbances” presents a time-frequency analysis method for power line disturbances using instantaneous frequency. The precise determination of disturbances in power quality depends on the time-frequency analysis. Various comparisons are presented to bring out the efficacy of the given method.
The paper titled “Coordinated Power Management of the Subgrids in a Hybrid AC-DC Microgrid with Multiple Renewable Sources” presents an assessment of the operation and control of hybrid AC-DC microgrid (HMG) integrated with alternative energy sources. Fuzzy logic and adaptive neuro-fuzzy system (ANFIS) controllers are used for system analysis. The impact of incorporating conventional PID controller, fuzzy logic controller and ANFIS controller in controlling battery is analyzed in presence of power fluctuations in sub-grids. Inferences are drawn from the comparative study.
The paper on “Power Management Strategy for an Electric Vehicle Driven by Hybrid Energy Storage System” presents a fuzzy logic control-based power management strategy to engage ultracapacitors (UC) to relieve a battery of peak discharge current as well as rapid charging current for the purpose of hybrid energy storage system (HESS) that combines the complementary functioning of UC with battery. A fuzzy logic control-based power management strategy to combine UC with battery is presented. The performance is tested using simulations and experiments on a prototype system and is reported in the paper.
In “Fast Scale Invariant Tracker and Re-identification for First-Person Social Videos,” the authors address the problem of pedestrian tracking from videos of crowded spaces using first-person captured videos. The challenges cited are due to simultaneous motion of camera and pedestrian. Tracking involves loss of target and re-identification in a later frame. The paper presents algorithm for this problem and gives the performance of the algorithm to draw conclusions about its efficacy.
The next paper, titled “SCAN-CogRSG: Secure Channel Allocation by Dynamic Cluster Switching for Cognitive Radio Enabled Smart Grid Communications,” addresses the problem of multilevel communication among multiple layers in smart grid communication using cognitive radio network. The issue of spectrum utilization is also addressed. The paper gives the design of a dynamic cluster switching approach for Secure Channel Allocation for Cognitive Radio based Smart Grid (SCAN-CogRSG) communications. The design is studied in NS-3 simulation environment and its performance evaluation is presented and discussed in the paper to bring out its advantages.
The following paper, titled “Intelligent Fractional Order based Centralized Frequency Controller for Microgrid,” presents a fractional order controller for frequency control in a microgrid comprising of wind turbine, solar photo voltaic system, aqua electrolyser, flywheel, ultra-capacitor, battery storage system, diesel engine, and fuel cell. Different algorithms are studied for optimization-based tuning of the controller. The comparative performance of these algorithms is studied and presented in the paper.
The paper on “A Microgrid Concept for Thermal and Electrical Energy Supply of a Sport Recreation Center - Case Study S.R.C.A.,” presents a microgrid concept for self-contained and intelligent thermal and electrical energy-based power supply distribution of a sport recreation center. The paper presents comparative study of the microgrid and supply through transmission and distribution network. It is inferred that a Hybrid Power System (HPS) is more cost-effective solution and provides other tangible and non-tangible benefits.
The next paper on “Performance Comparison of Reconstruction Algorithms in Compressive Sensing based Single Snapshot DOA Estimation” presents the problem of direction of arrival (DOA) estimation in the compressive sensing (CS) framework specifically for the purpose of reducing computation cost in signal reconstruction. The performance of reconstruction algorithms is compared for single snapshot DOA estimation to draw inferences about the efficacy of CS base method.
In the paper, titled “Efficiency and Cost Based Multi-optimization and Thermal/Electromagnetic Analyses of 3-phase Dry-type Transformer” the authors present a study of a 3-phase dry type transformer modeling from perspective of cost and efficiency. The models are first studied in simulation. Thereafter, the transformer is tested experimentally, and its performance is compared with simulations.
The following paper “A Dual-Band Zero-Index Metamaterial Superstrate for Concurrent Antenna Gain Enhancement at 2.4 GHz & 3.5 GHz” presents a dual-band zero-index metamaterial (ZIM) to boost the gain of a concurrent antenna at two frequency bands. The design of the ZIM is presented for 2.4 GHz and 3.5 GHz operation. The design is also fabricated, and the realized gain of a printed monopole antenna are measured and compared with simulation studies to bring out the design efficacy.
In “Design of Beam Steering -Switching Array for 5G S-Band Adaptive Antenna Applications (Part -I and Part -II),” the authors present a design procedure for planar microwave components for beam steering switching array for 5G, S-band operations. The components include E-shape single element slot antenna, Wilkinson Power Divider, Hybrid Directional Coupler, Loaded Line Phase Shifter, and Switched Line Phase Shifter. The antenna parameters are presented and discussed.
The next paper, titled “An Intelligent Genetic Fuzzy Classifier for Transformer Faults” presents a classifier for different fault types. The algorithm uses Dissolved Gas Analysis samples from real power transformers and genetic algorithm based fuzzy classifier. The classifier is compared with benchmark Fuzzy Q learning and other classifiers and accuracy results are presented.
The paper on “Advances and Steady State Development of Dual Stator-Winding Induction Machine” presents the design of a dual stator winding induction machine. The mathematical modelling with stator mutual leakage inductance is presented in phase coordinate system. The simulations and experimental test results are described.
In “Modification of Standard Kalman Filter Based on Augmented Input Estimation and Deadbeat Dissipative FIR Filtering,” the authors present a modified Kalman filter (KF) based algorithm for maneuvering target tracking. Classically KF has issues with maneuvering motion tracking and lack of robustness against model uncertainty. This paper modifies the KF by augmented input estimation to extend the state vector to cover both non-maneuvering and maneuvering parts of motion and eliminate maneuver detection requirement. An FIR filter that is robust and stable against model uncertainty is used to address the second issue. The paper gives examples to show the efficacy of the tracking algorithm.
The next paper on “Recognition of Indian Sign language using ORB with Bag of Visual Words by Kinect Sensor” presents an algorithm to segment the hand region from a depth image in cluttered environment using Microsoft Kinect sensor. The method is studied for Indian sign language recognition of digits 0-9 and compared with other methods with standard datasets to make inferences about the algorithm.
The paper, titled “Bearings-only Passive Target Tracking: Range Uncertainty Ellipse Zone” presents the study of unscented Kalman filter in bearings-only target tracking for the purpose of reducing the range uncertainty ellipse of the target as function of time. The relevance of the ellipse zone is with respect to the convergence time of the target motion parameters’ solution. Monte Carlo simulation experiments are used to make inferences that are presented in the paper.
The following paper on “Wearable Multilayer Patch Antenna with Electromagnetic Band Gap Structure for Public Safety Systems” presents a design of a compact micro strip patch antenna for wearable device applications. The design involves flexible multilayer substrate materials and EBG structures to resonate at 2.45 GHz in the ISM band. The paper presents the performance parameters of the antenna using simulations and measurements and these are compared with existing design.
In the paper “Electronically Tunable Grounded Capacitance Multiplier,” the authors present the design of a low power, electronically tunable, temperature insensitive and a high multiplication factor grounded capacitance multiplier. The design is based on third generation current conveyor transconductance amplifier. The design performance is studied using SPICE simulations and through experiments that are reported in the paper.
The next paper on “Board Level Ku-Band Power Amplifier: Design and Challenges” describes the challenges in design of board level Ku-band power amplifier using hybrid-MIC technology. The reliable design of a PA at high operating frequency using 250 nm bare die device with 400 MHz frequency band is presented in the paper.
The paper on “The Smallest Form Factor Monopole Antenna with Meandered Radiator for WLAN and WiMAX Applications” presents the design of a small form factor multiband antenna with low profile and spanning the tri-band for WLAN and WiMAX applications. The measured performance from an experimental prototype antenna is presented to show the gain characteristics in the passbands, radiation performance and radiation patterns in the resonant frequencies.
In “A Comparative Study between the PI and SM Controllers used by Nonlinear Control of Induction Motor fed by SVM Matrix Converter”, the authors present a nonlinear feedback control strategy for induction motor drive system. It is fed by a matrix converter. The issue of minimizing harmonic rate injected by the drive system into the grid is discussed. The paper presents a comparison study between the proposed controller and PI controller under different operating conditions to bring out its efficacy.
The following paper titled “Deep Learning Techniques for EEG Signal Applications - A Review” presents a review of the various deep learning techniques for EEG signal analysis applications. The review puts in perspective the challenges and limitations of each deep learning method.
The paper titled “Study of Solar PV Panel under Partial Vacuum Conditions: A Step Towards Performance Improvement” presents the results of an experiment to test the performance of solar PV cell under different pressure or partial vacuum condition, to judge its performance improvement. The experiment setup along with the work done is described to draw inferences about increase in power under partial vacuum conditions.
The next paper on “Anemometric Type Flow Transmitter using Transistor as a Primary Sensor” presents the design of an anemometric type flow meter developed using a transistor as a flow sensor. The temperature effect is compensated by taking the difference at the output of the two diodes. The difference between the output voltages is a function of the flow rate. The paper presents the design of the transducer, derivation of its theoretical characteristic equation, and the features of the design.
The paper on “Schizophrenia Detection using Biomarkers from Electroencephalogram Signals” presents a method to detect schizophrenia using electroencephalogram (EEG) signals as biomarker. It uses time-domain features from each electrode to detect schizophrenia. The performance is tested and reported in the paper.
The following paper titled “An Analysis of Distributed Programming Models and Frameworks for Large-scale Graph Processing” provides analysis of properties of different graph processing frameworks to process large scale graphs with the purpose of aiding software developers and designers to choose the appropriate tool. The processing and analysis of large graphs has become increasingly important to process linked data of large volumes such as from social media.
The next paper on “Dual Stage Normalization Approach towards Classification of Breast Cancer” presents a dual stage normalization approach, to address the color variation problem of biopsy specimen. The variation is caused by incompatible staining in biopsy process and imaging quality issues. Accordingly, the dual stage normalization consists of stain normalization unit and light normalization unit. Thereafter, the paper describes the extraction of 8 features to classify breast cancer into benign and malignant classes. The performance of the normalization procedure and classification performance are discussed in the paper.
In “A Hybrid PSO-ANN-based Fault Classification System for EHV Transmission Lines” the authors present a robust design of artificial neural network classifier for the classification of faults in extra high voltage transmission lines with multiple series compensation. The paper describes the challenges, feature selection and classification architectures studied. The results are presented and compared to show the efficacy of the steps used in the classification system.
The following paper on “Pole Clustering-based Modified Reduced-Order Model for Boiler System” presents a method to derive reduced order model for LTI system representation of a boiler system. The higher order system model is reduced to minimize the complexity of processing. The method is compared with other model order reduction techniques based on pole clustering, optimization approach, minimum variance, least square and recursive least square approaches to draw inferences about the efficacy of the method.
The next paper on “IoT-based Energy Monitoring and Controlling of an Optimum Inclination Angle of the Solar Panels” presents the design and development details of IoT enabled solar power plants with the hardware setup and performance tests. The advantages of monitoring and maintenance are elaborated in the paper.
The paper titled “Signal Converter with Three-Phase and Quadrature Outputs for Driving Synchros and Resolvers” presents the design and measurement results of a signal converter with three-phase and quadrature outputs used for driving synchros and resolvers. The converter design is all-analog and is targeted for driving receiver type synchros and resolvers for hands-on laboratory experiments in 50 Hz to 5 kHz range.
In the concluding paper, titled “Stability analysis of DC-DC Converters Applying Lie Algebra,” the authors present the study of stability analysis of switched DC-DC converters using Lie algebra. The analysis method is elaborated in the paper with associated studies of the effect of duty cycle variation and load resistance of the converters working in continuous conduction mode on decay constant and decay coefficient. The use of Lie algebra in the stability analysis is discussed.
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Shiban K Koul
Shiban K Koul is currently an emeritus professor at the Indian Institute of Technology, Delhi. He served as deputy director (Strategy and Planning) at IIT Delhi from 2012-2016 and mentor deputy director (Strategy & Planning, International Affairs) at IIT Jammu from 2018-2021. He also served as the chairman of Astra Microwave Products Limited, Hyderabad from 2009-2019 and Dr R P Shenoy Astra Microwave chair professor at IIT Delhi from 2014-2019. His research interests include RF MEMS, high frequency wireless communication, microwave engineering, microwave passive and active circuits, device modelling, millimetre and sub-millimetre wave IC design, body area networks, flexible and wearable electronics, medical applications of sub-terahertz waves and reconfigurable microwave circuits including miniaturized antennas. Successfully completed 38 major sponsored projects, 52 consultancy projects and 61 technology development projects. He has authored/co-authored 576 research papers, 18 state-of-the art books, 4 book chapters and 2 e-books. He holds 26 patents, 6 copyrights and one trademark. He has supervised 28 doctoral dissertations and over 100 master's theses. He is a Life Fellow of IEEE and Fellow of INAE and IETE. He is the Chief Editor of IETE Journal of Research, Associate Editor of the International Journal of Microwave and Wireless Technologies, Cambridge University Press. He served as a Distinguished Microwave Lecturer of IEEE MTT-S for the period 2012–2014.
Recipient of numerous awards including IEEE MTT Society Distinguished Educator Award (2014); Teaching Excellence Award (2012) from IIT Delhi; Indian National Science Academy (INSA) Young Scientist Award (1986); Top Invention Award (1991) of the National Research Development Council for his contributions to the indigenous development of ferrite phase shifter technology; VASVIK Award (1994) for the development of Ka- band components and phase shifters; Ram Lal Wadhwa Gold Medal (1995) from the Institution of Electronics and Communication Engineers (IETE); Academic Excellence Award (1998) from Indian Government for his pioneering contributions to phase control modules for Rajendra Radar, Shri Om Prakash Bhasin Award (2009) in the field of Electronics and Information Technology, VASVIK Award (2012) for the contributions made to the area of Information, Communication Technology (ICT) and M N Saha Memorial Award (2013) from IETE.