Advances in Signal and Image Processing in Biomedical Applications

Our bodies are continually passing on information about our prosperity. This information can be collected using physiological instruments that measure beat, circulatory strain, oxygen drenching levels, blood glucose, nerve conduction, mind activity, and so on. For the most part, such estimations are taken at unequivocal spotlights in time and noted on a patient’s outline. Working with conventional bio-estimation apparatuses, the sign can be figured by programming to give doctors continuous information and more noteworthy bits of knowledge to help in clinical evaluations. By utilizing progressively modern intends to break down what our bodies are stating, we can conceivably decide the condition of a patient’s wellbeing through increasingly noninvasive measures

Towards wireless sensor networks with enhanced vision capabilities

Wireless sensor networks are expected to become an important tool for various security, surveillance and/or monitoring applications. The paper discusses selected practical aspects of development of such networks. First, design and implementation of an exemplary wireless sensor network for intrusion detection and classification are briefly presented. The network consists of two levels of nodes. At the first level, relatively simple microcontroller-based nodes with basic sensing devices and wireless transmission capabilities are used. These nodes are used as preliminary detectors of prospective intrusions. The second-level sensor node is built around a high performance FPGA controlling an array of cameras. The second-level nodes can be dynamically reconfigured to perform various types of visual data processing and analysis algorithms used to confirm the presence of intruders in the scene and to classify approximately the intrusion, if any. The paper briefly presents algorithms and overviews hardware of the network. In the last part of the paper, prospective directions for wireless sensor networks are analyzed and certain recommendations are included

(E)-3-(4-Methyl­phen­yl)-1-(1,3-thia­zol-2-yl)prop-2-en-1-one

In the title chalcone, C13H11NOS, derived from the condensation of p-tolualdehyde and 1-(1,3-thia­zol-2-yl)ethanone, the olefine group has a trans configuration. No classical hydrogen bonding is present in the crystal structure

FPGA based signal processing for high data rate digital communications

The communications infrastructure that has become so much a part of daily life is expanding at an exponential rate. The advancement of network and storage technology has resulted increased usage and transportation of multimedia information which requires a high speed, high performance, flexible designs. Design of a customized base band signal processing and its implementation at silicon level is an achievable target these days using reconfigurable platforms.Master of Science (Computer Control and Automation

Reviewing Performance Measures of the Die-Sinking Electrical Discharge Machining Process: Challenges and Future Scopes

The most well-known and widely used non-traditional manufacturing method is electrical discharge machining (EDM). It is well-known for its ability to cut rigid materials and high-temperature alloys that are difficult to machine with traditional methods. The significant challenges encountered in EDM are high tool wear rate, low material removal rate, and high surface roughness caused by the continuous electric spark generated between the tool and the workpiece. Researchers have reported using a variety of approaches to overcome this challenge, such as combining the die-sinking EDM process with cryogenic treatment, cryogenic cooling, powder-mixed processing, ultrasonic assistance, and other methods. This paper examines the results of these association techniques on various performance measures, such as material removal rate (MRR), tool wear rate (TWR), surface roughness, surface integrity, and recast layer formed during machining, and identifies potential gap areas and proposes a solution. The manuscript is useful for improving performance and introducing new resolutions to the field of EDM machining

Abstracts of National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020

This book presents the abstracts of the papers presented to the Online National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020 (RDMPMC-2020) held on 26th and 27th August 2020 organized by the Department of Metallurgical and Materials Science in Association with the Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, India. Conference Title: National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020Conference Acronym: RDMPMC-2020Conference Date: 26–27 August 2020Conference Location: Online (Virtual Mode)Conference Organizer: Department of Metallurgical and Materials Engineering, National Institute of Technology JamshedpurCo-organizer: Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, IndiaConference Sponsor: TEQIP-