The current issue of the IETE Journal of Research (Vol.65, No.2, Mar--Apr 2019) contains 12 articles. These articles present ongoing research and developments taking place in the broad areas of Wireless Communications, Power Systems, Signal Processing, Control Systems and Biomedical Engineering.
In the paper “Aggressive Packet Combining Scheme with Packet Reversed and Packet Shifted Copies for Improved Performance”, a scheme for retransmission of packets in packet based communication is given under the method of aggressive packet combining for correcting multiple bit errors. The performance improvement from previous aggressive packet combining scheme is analyzed and studied through simulations.
The next paper titled “Data Reduction for Dynamic Stability Classification in Power System”, addresses the problem of reducing dataset size for dynamic classification of a power system's stability. The paper presents a study of hybrid K-means data clustering algorithm to address the problem and investigate its optimality. The study is reported for the IEEE 39-bus in terms of effective reduction in data size and classification accuracy.
The paper on “Hardware-Based Parameter Extraction of Acoustic Emission Burst Signal for Structural Health Monitoring Applications”, gives a hardware-based method for monitoring the acoustic emissions due to micro-mechanisms of deformation and fracture processes in a system. The paper presents a software simulation study of such a hardware design that extracts the signal processing model parameters to analyze the signal.
In the paper on “Information Extraction and Prediction Using Partial Keyword Combination and Blends Measure”, a method is presented to extract medical information from unstructured electronic medical records. The extracted information is used to make predictions of diseases using prior patterns from standard datasets. The performance of information extraction and prediction using the method of keyword combination and blends measure is evaluated and discussed.
The following paper titled “Journey of Visual Prosthesis with Progressive Development of Electrode Design Techniques and Experience with CMOS Image Sensors: A Review”, presents a review of the evolution of visual prosthesis. It comprises of the advances made in visual cortex, optic nerve and retinal implantation techniques for restoring vision in blind persons. The paper discusses the initial challenges and the subsequent advances made in materials, image processing and other aspects.
In the paper titled “MFGMTS: Epsilon Constraint-Based Modified Fractional Grey Wolf Optimizer for Multi-Objective Task Scheduling in Cloud Computing”, gives a multi-objective optimization algorithm for task-scheduling in cloud computing to achieve a desired quality of service. The optimization function is based on the fractional Grey-Wolf optimization algorithm. It includes the objectives of execution time and cost, communication time and cost, energy consumption and resource utilization. The performance is compared with other optimization methods and inferences are drawn from the study.
The following paper on “Performance Analysis of Combined Similar Day and Day Ahead Short Term Electrical Load Forecasting using Sequential Hybrid Neural Networks”, presents a method for short-term electrical load forecasting using sequential hybrid neural networks. The forecasting is based on training the network for both “similar day” and “day ahead” patterns as a basis for improving the forecasting performance. The models are tested on simulation test-bed and the results are analyzed.
The paper on “Reducing the Required Time and Power for Data Encryption and Decryption Using K-NN Machine Learning”, presents a method to determine the degree of data sensitivity and use it as a basis for data encryption. Standard encryption methods are used for this purpose. The goal of the work is to change the complexities associated with encryption based on the data sensitivity. The performance of the proposed method is studied in simulation environment and the results are analyzed in the paper.
The paper on “Robust Human Action Recognition Using AREI Features and Trajectory Analysis from Silhouette Image Sequence”, gives a method to detect human activity from an image sequence in videos. It comprises of silhouette identification, active region feature extraction, and normalization across consecutive frames for robustness and scale invariance. The performance is studied on standard databases for various kinds of human actions and compared with other methods in terms of accuracy of human action detection.
In “Segmentation of MR Images of the Brain to Detect WM, GM, and CSF Tissues in the Presence of Noise and Intensity Inhomogeneity”, the authors give an optimization method for segmenting brain images having intensity inhomogeneity and additive noise for detecting different healthy brain tissues. It uses a region-based energy minimization method, namely, anisotropic multiplicative intrinsic component optimization for segmenting the image. The method is described and studied in simulations with other methods for the detection problem.
The next paper titled “Throughput and Power Efficiency Analysis Considering Traffic Loads in FFR with Movable Boundary”, reports a call admission control mechanism for fractional frequency reuse (FFR) in cellular systems. The call blocking probabilities and resource utilization by users constitute the design criteria for maximizing the throughput. A trade-off between the call blocking in cell inner area and improving the cell outer area is used. The system power efficiency is studied in simulation environment and inferences are drawn from the analysis.
The paper on “Visually Guided Manipulator Based on Artificial Neural Networks”, presents a method to control the movements of a manipulator using image-based servo for object tracking. The image is acquired using a six degrees-of-freedom camera. The servo performance is studied for gradient descent and Levenberg-Marquardt algorithms with artificial neural networks. The simulation study reports the performance and draws other inferences related to noise tolerance.
Additional information
Notes on contributors
Shiban K. Koul
Shiban Kishen Koul is Dr R P Shenoy Astra Microwave Chair Professor at the Indian Institute of Technology, Delhi. He served as Deputy Director (Strategy and Planning) at IIT Delhi from 2012–2016. Currently, he is the Mentor Deputy Director (Strategy & Planning and International affairs) at IIT Jammu. He is also the Chairman of Astra Microwave Products Limited, Hyderabad. His research interests include: RF MEMS, High Frequency Wireless Communication, Microwave Engineering, Microwave Passive and Active Circuits, Device Modeling, Millimeter Wave IC design and Reconfigurable Microwave Circuits including antennas. Completed 34 major sponsored projects, 52 consultancy projects and 56 technology development projects. Authored 403 papers, 8 state-of-the art books and 3 book chapters. He holds 10 patents and 6 copyrights. He is a Fellow of IEEE, 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; Award for contributions made to the growth of smart material technology (2012) by the ISSS, Bangalore, Vasvik Award (2012) for the contributions made to the area of Information, Communication Technology (ICT) and M N Saha Memorial Award (2013) from IETE. E-mail: [email protected]