Heritage Institute of Technology

About: Heritage Institute of Technology is a based out in . It is known for research contribution in the topics: Support vector machine & Transconductance. The organization has 581 authors who have published 1045 publications receiving 8345 citations.

Development and Feasibility Studies of a Device for Early Prediction of Asthma Attack

Abstract: Asthma is one of the most dreaded diseases affecting a huge number of people worldwide. The most effective way to prevent its occurrence is by predicting it at an early stage. In this paper, we propose a noninvasive, easy to use, inexpensive prognostic asthma monitoring device to prevent its occurrence by taking well-timed precautions and medications. The existing asthma predictors use multiple sensors and are costly and beyond the reach of common people. The novelty of this work is development of a wearable, inexpensive, easy-to-use device that evaluates three asthma physiological variables using a single temperature sensor to monitor the asthma status of the asthmatic patient. The proposed device uses a temperature sensor to track the respiration temperature. A computational device then processes simple but powerful algorithms to evaluate the respiration rate and the rate of exhaled breath temperature. We recruited 189 subjects for proof of concept demonstration and found reasonably satisfactory performance of the device.

Retracted: Speed Optimization in an Unplanned Lane Traffic Using Swarm Intelligence and Population Knowledge Base Oriented Performance Analysis

Abstract: Comparative Analysis of Speed Optimization Technique in Unplanned Traffic is a very promising research problem Searching for an efficient optimization method to increase the degree of speed optimization and thereby increasing the traffic flow in an unplanned zone is a widely concerning issue However, there has been a limited research effort on the optimization of the lane usage with speed optimization This paper presents a novel technique to solve the problem optimally using the knowledge base analysis of speeds of vehicles, using partial modification of Swarm Intelligence which, in turn will act as a guide for design of lanes optimally to provide better optimized traffic with less number of transitions between lanes

Structural, Spectroscopic, Magnetic, and Thermal Characterizations of a Magnetite Ore from the Nagaland Region, India

Abstract: An Indian magnetite ore from the Nagaland region was characterized by powder X-ray diffraction, spectroscopies (ultraviolet-visible and Raman), high temperature magnetization and thermal analysis. A Rietveld refinement of the diffraction data revealed that the principal phase present in the sample is magnetite with partial substitution of Fe with Mg (mainly) and Cr, leading to the chemical formula of MgCr0.2Fe1.8O4. The UV-visible spectra of the sample in MeCN solution showed three distinct peaks. The lower region bands are due to metal-oxygen charge transitions and the other band is for d-d transition of iron. Raman spectral study at room temperature gave four characteristics bands of magnetite. The sample underwent a magnetic transition at high temperature and the thermomagnetization curve shows hysteresis during cooling cycle which indicates the possibility of first order structural transition at high temperature. The thermal property of the concentrate was studied by differential scanning calorimetric technique.

UDGMOSFET based analog circuit blocks in cadence virtuoso

Abstract: In the present study, a look up table (LUT) based approach is used to extract device characteristics of an SOI based UDGMOSFET built in TCAD and imported to Cadence Virtuoso to implement analog circuit blocks. In particular, this study utilizes the custom 14nm UDGMOSFET to build a simple CMOS inverter, a single ended voltage amplifier and a Schmitt Trigger circuit. The circuits are simulated in Cadence Virtuoso environment and the performance is compared with results obtained from similar simulations in TCAD, the motivation being to prove that analyses can be conducted in Cadence with comparable efficiency as TCAD but in significantly shorter duration of time.

Understanding bug fixes in Ant: An observational study

Abstract: Maisqual Ant Dataset introduces the Apache Ant weekly dataset, featuring 636 extracts of the project over 12 years at different levels of artifacts- application, files, and functions. By associating community and process related information to code extracts, this dataset unveils interesting perspectives on the evolution of one of the great success stories of open source. In this paper, we analyze development dataset extracted on Monday of every week since the beginning of the project until end of July, 2012. By examining the correlation between number of developers, number of bugs fixed and number of commits done, we find evidence that developers maintain a reasonably good level of performance in the term of bug fixing. Using point plotting, we find that the number of source lines of code (SLOC) is impacted by the version release in the development period and maintenance period. This effect is also influenced by the number of bugs fixed and the number of commits done during the version release.