The current issue of the IETE Technical Review (Vol.33, No.4, July–August 2016) contains 10 articles. These articles present a survey as well as original research in the areas of cloud computing, communication engineering, image compression, quality-of-service (QoS) issues, interconnection networks and sensors.
The first article by Naresh Sehgal, John M. Acken and Sohum Sohoni deals with finding an answer to the question: ‘Is the EDA Industry Ready for Cloud Computing?’. Cloud computing is at the heart of modern industries such as electronic design automation (EDA) industry players who provide cloud-based very large-scale integration (VLSI) design tools and services. The authors first present the history of EDA solutions and their evolution. By mapping the EDA design flow with a cloud computing workload group, the authors present a representative EDA flow and its intermediate steps. This paper also provides important information on the capabilities of both public and private cloud providers and discusses the challenges and opportunities for migrating EDA solutions to cloud computing.
Bharat Sanchar Nigam Limited (BSNL), a government organization with maximum infrastructure has not commercially succeeded in telecommunication industry claim Rahul Prajapat, Deepa More and Lalit Lalwani in the second article: ‘BSNL Journey in Telecommunication Industry and Learnings from NTT Group’. They discuss the primary reasons for this and try to provide some recommendations for BSNL commercial success by comparing BSNL with Nippon Telegraph and Telephone Corporation (NTT) of Japan. NTT too is a government entity. However, unlike BSNL, NTT is a leading company in the world telecommunication industry with sustained growth in the face of domestic as well as international completion, argue the authors. By studying the NTT's journey in detail, they have drawn some lessons for BSNL.
A theoretical background for analysis of different types of neuromodulation techniques are reviewed in ‘Review of Neuromodulation Techniques and Technological Limitations'authored by Rabinder Henry, Martin Deckert, Velmathi Guruviah and Bertram Schmidt. The disorders associated with the nervous system are addressed by modifying the neuronal activities using a clinical therapeutic tool known as neuromodulation. The authors describe how optogentics, the most recent development in neuromodulation tools, combines genetic engineering with optics for gene therapy.
Addressing quality-of-service (QoS) issues in applications developed by capitalizing on the service-oriented architecture paradigms is a major issue. In the paper ‘AI-based Web Service Composition: A Review’ by Guillermo Rodríguez, Álvaro Soria and Marcelo Campo, the authors review how artificial intelligence (AI) can assist the developers in dealing with QoS-based web service compositions. They conclude that flexible and adaptive-to-change web service compositions can be realized by exploiting the semantic resources.
Deep sub-surface defects in thick stainless steel plates can be detected using an eddy current probe. The paper ‘Development of Eddy Current Probe for Detection of Deep Sub-Surface Defects’ by Anil Kumar Soni, B. Sasi, S. Thirunavukkarasu and B. Purna Chandra Rao describes a finite element based model and using this model, they demonstrate that the cup-core probe ensures better sensitivity for detection of deep sub-surface defects. Using experimental results, the authors confirm that the cup-core probe can detect defects located at 8.0 mm below the surface in 12.0 mm thick stainless steel plates with an ability to discriminate sub-surface defects from surface defects.
Multi-stage interconnection networks (MIN) are a potential networking alternative to communicate with each and the memory modules in high-performance computing system. Authors S. Rajkumar and Neeraj Kumar Goyal in a paper entitled ‘Fault Tolerant Interconnection Network Design’ describe a new architecture of fault tolerant multistage interconnection network layout. The demonstrate that the proposed multipath MIN provides four disjoint paths for all the source and destination pairs in addition to exhibiting full access and dynamic rerouting property under any switch/link failures. They also show that the proposed network design has a higher fault-tolerant capability compared to the other interconnection networks topologies.
Variable length coding (VLC) is typically used in almost every image coding algorithms such as Joint Photographic Expert Group (JPEG) and JPEG 2000. However, VLC can suffer from noise during compressed image transmission to the extent that even a single bit error in the DC coefficients can propagate to other blocks. In this paper entitled ‘Transmission Error Analysis and DC Coefficient Recovery for Compressed Image’, Jigisha N. Patel, Pratibha Varma and Suprava Patnaik propose a modified USO (MUSO) method to recover DC coefficients at post-processing stage of decoding. They demonstrate that using the proposed method, not only computational time reduces but also image quality gets better even at high bit error in AC coefficients.
In the recent past biomedical ontology matching has become a computationally intensive task. Muhammad Bilal Amin, Wajahat Ali Khan, Shujaat Hussain, Dinh-Mao Bui, Oresti Banos, Byeong Ho Kang and Sungyoung Lee in their paper entitled ‘Evaluating Large-Scale Biomedical Ontology Matching Over Parallel Platforms’ describe a parallel heterogeneity resolution system, i.e., SPHeRe, and the execution and evaluation results of SPHeRe over large-scale biomedical ontologies. They demonstrate that the proposed methodology exhibits speeds of 4.8 and 9.5 times over a quad-core desktop PC and a four virtual machine (VM) cloud platform, respectively.
Since a switched reluctance machine (SR-machine) is simple and rugged in construction and exhibits high efficiency, high torque-to-inertia ratio and thermal robustness, it has emerged as an attractive option for variable speed drives. In the paper entitled ‘Switched Reluctance Machine for Off-Grid Rural Applications: A Review’ by K. Vijay Babu, B.L. Narasimharaju and D.M. Vinod Kumar provide a comprehensive overview of SR-machine drive, modelling, converter topologies, control and its suitability for off-grid small-scale rural (SSR) applications using alternative energy sources (AESs). The authors also discuss the SR-machine operations such as SR motor (SRM) for photovoltaic (PV) water pumping system (WPS) and SR generator (SRG) for variable speed wind energy conversion systems (WECSs) including the suitability of SRG-based hybrid PV-wind energy systems.
Security systems are important in preventing illegal access and in providing better information security. This is often done by information hiding and by hiding the existence of the secret data. In ‘A Survey of Reversible Data Hiding Methods in Dual Images’, Ki-Hyun Jung, explains different reversible data hiding methods and compares them in terms of embedding capacity and visual quality.
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M. Jagadesh Kumar
Mamidala Jagadesh Kumar is a Professor of Electrical Engineering at the Indian Institute of Technology, New Delhi, India. He is also the Vice-Chancellor of Jawaharlal Nehru University, New Delhi, India. He was an Editor of IEEE Transactions on Electron Devices from 2006 to 2015. He is an Editor of IEEE Journal of the Electron Devices Society. He has widely publishedin the area of Micro/Nanoelectronics and is known for his excellence in teaching. He is a member (PT) of Telecom Regulatory Authority of India (TRAI). More details about Dr. Kumar can be found at http://web.iitd.ac.in/»mamidala
Email: [email protected]