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Computational Performance Evaluation (ComPE), International Conference on
2020 International Conference on Computational Performance Evaluation (ComPE)
2-4 July 2020
Showing 1-25 of 172
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
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[Front cover]
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Table of Contents
Expert System to Manage Parkinson Disease by Identifying Risk Factors: TD-Rules-PD
Arpita Nath Boruah;Saroj Kumar Biswas;Sivaji Bandyopadhyay;Sunita Sarkar
Publication Year: 2020,Page(s):001 - 006
Cited by: Papers (4)
Advent of modern means of living and busy schedule, a person generally forget to look after the health and thereby prone to some of severe health disorders. From various researches it is clear that Parkinson Disease (PD) basically occur due to negligence of an individual. It is a disorderliness that affects a small part of the brain that manages the gesture and mental order. The syndrome vary from...Show More
Agent-based Learning for Auto-Navigation within the Virtual City
Publication Year: 2020,Page(s):007 - 012
Cited by: Papers (1)
Virtual reality is a field that can be widely explored for sustainability requirements. In this work, a virtual city environment was developed with intend to help city navigation especially by personnel with special abilities, mainly while traveling. They may need assistance to perform such daily tasks. The goal is to build an agent that can be trained to help guide daily commute from a given sour...Show More
Transparent Neural based Expert System for Credit Risk (TNESCR): An Automated Credit Risk Evaluation System
Abhinaba Dattachaudhuri;Saroj Kr. Biswas;Sunita Sarkar;Arpita Nath Boruah;Manomita Chakraborty;Biswajit Purkayastha
Publication Year: 2020,Page(s):013 - 017
Cited by: Papers (3)
Nowadays credit risk evaluation is very crucial in financial domain. Whenever it is processed by an individual, it becomes controversial as the assessment may be prone to human error. Recently, to overcome this issue, some automated systems have been developed for credit risk evaluation. Most of the developed systems focused on the credit decision only and neglected the transparency of the systems...Show More
Control of a Twin Rotor MIMO System using a TS Fuzzy TITO PD Controller
Publication Year: 2020,Page(s):018 - 023
Cited by: Papers (1)
Twin Rotor MIMO System (TRMS) is a highly complex nonlinear two-input two-output (TITO) system. Its quite challenging to control the pitch and yaw motion of TRMS simultaneously due to coupling. Therefore, this paper aims at 2-degree of freedom (DoF) control of a laboratory based TRMS. We deploy the simplest TS fuzzy TITO proportional derivative (PD) controller to control the pitch and yaw motions ...Show More
Novel Deep Learning Architectures: Feature Extractor and Radial Basis Function Neural Network
Publication Year: 2020,Page(s):024 - 027
Cited by: Papers (1)
It is well-known that Radial Basis Function Neural Networks (RBFNN) work as a classifier by converting non linearly separable data into linearly separable patterns. In this research paper, the essential idea is to utilize an architecture in which trained feature extractor is cascaded with a Radial Basis Function Neural Network i.e. trained convolutional/pooling layers output is fed to RBFNN (in pl...Show More
Evaluation of Service Time in DCS using Fuzzy and Clustering Technique
Publication Year: 2020,Page(s):028 - 032
Cited by: Papers (2)
Because of the constant development in information expertise and soft computing technology, Distributed Computing System (DCS) has become most demandable areas of research at present. DCS have the capability to improve performance and share resources. It consists of a limited register nodes that make messages communicable to each other through a transient structure. The development of novel techno...Show More
An Ensemble Kalman Filter based Explicit Nonlinear Model Predictive Control Design for Two Degree Freedom of Helicopter Model
Publication Year: 2020,Page(s):033 - 038
This research work develops an explicit nonlinear model predictive control strategy for an aerodynamical model i.e. twin rotor MIMO system (TRMS). Here the control strategy is developed by calculating the tracking error as well as the control signal in the prediction horizon using Taylor series expansion. The explicit solution for the control signal is obtained from an optimal performance index wh...Show More
A Linear Model Predictive Control design for Magnetic Levitation System
Publication Year: 2020,Page(s):039 - 043
Cited by: Papers (3)
This paper presents a linear model predictive control scheme for a magnetic levitation system (Maglev). The Maglev dynamics involve nonlinearity, highly unstable, makes it more challenging to design a suitable control algorithm. The objective of this work is to control the position of a ferromagnetic ball in the air space of the nonlinear system. In this research, the proposed controller is design...Show More
Freeware Solution for Preventing Data Leakage by Insider for Windows Framework
Publication Year: 2020,Page(s):044 - 047
Cited by: Papers (7)
Every organisation has some crucial data that holds the reason for its competitive advantage over others. This data includes intellectual property, trade secrets, salary details etc. Non-ethical disclosure of such data can have fatal impacts. Recent incidents of data leaks cannot be overlooked, therefore every organisation should preferably use Data Loss Prevention(DLP) system to avoid the risk of...Show More
Techniques for Compressing Deep Convolutional Neural Network
Publication Year: 2020,Page(s):048 - 053
Deep Convolutional Neural Network (CNNs) has evolved to be a progressive technique for both artificial intelligence and computer vision applications. However, these models are also known for being large, computationally expensive and requires lot of memory therefore its hard to implement them on various embedded systems or mobile phones as they have limited hardware resources, low power budget and...Show More
Path loss modeling: A GIS-based approach
Publication Year: 2020,Page(s):054 - 058
Cited by: Papers (4)
This paper discusses an analysis of Very High Frequency (203.25 MHz and 182.25 MHz) signal strength measurement variation over a sizeable hilly-forested region in the northern part of Aizawl, Mizoram. In this, we discussed the Line of Sight (LOS) analysis using Geographic Information System program and the area assessment within a specified region falling nearby the visible site, using a wedge-sha...Show More
A Novel Compact Dual-Mode Substrate Integrated Waveguide Cavity based Bandpass Filter for WLAN Applications
Publication Year: 2020,Page(s):059 - 061
In this paper, a dual-mode bandpass filter based on substrate integrated waveguide (SIW) is presented. Initially, a SIW cavity is designed at higher frequency range. The stepped impedance resonator (SIR) slots are embedded as a slot on the top of the cavity structure. Four SIR slots are etched on the top surface of the cavity which helps to eliminate the higher resonating modes of the cavity. The ...Show More
A Mobile Robot for Hazardous Gas Sensing
Tanaya Das;Dhruba Jyoti Sut;Vishal Gupta;Lakhyajit Gohain;Priyanka Kakoty;Nayan M. Kakoty
Publication Year: 2020,Page(s):062 - 066
Cited by: Papers (9)
This paper reports development of a robot that can sense the presence of hazardous gases in the environment. The robot aims at detection of hazardous gases and mapping global positioning system (GPS) locations of the detected gases to the navigation terrain in real-time. These information was transmitted to a hand-held device in a remote location for exploration of gas types, which holds promise f...Show More
Texture Analysis of Color Oral Images for Lesion Detection
Nanditha B.R.;Geetha Kiran A.;Dinesh M.S.;Murali S.;Chandrasheka H.S.
Publication Year: 2020,Page(s):067 - 072
Cited by: Papers (2)
Among all types of cancer, one of the prevalent forms is Oral Cancer. Diagnosis of oral cancer at an early stage and treatment of oral premalignant lesions reduces the mortality rate. Texture features are useful in identification of oral lesions as they have distinguishable patterns which cannot be easily recognized by a human observer. The objective of this work is to combine texture features and...Show More
Modelling of an Enhanced Microfluidic Device for Segregation of Circulating Tumor Cells using Asymmetric Deterministic Lateral Displacement
Publication Year: 2020,Page(s):073 - 077
Cited by: Papers (1)
Circulating Tumor cells (CTCs) are very rare cells in blood samples of cancer patients which act as biomarkers for advance cancer diagnosis. Deterministic Lateral Displacement (DLD) has been successfully tested as an effective technique for separation of cells. In the proposed model of microfluidic device using COMSOL Multiphysics 5.4 software, an asymmetric DLD array of circular pillars has been ...Show More
Design and Simulation of PZT based Energy Harvester Embedded in Asphalt Pavement
Publication Year: 2020,Page(s):078 - 081
With the emphasis on the intelligent Transport System(ITS), it is desirable to use energy harvester from the dynamic vehicular load. As more and more sensors are now a days are embedded in the road and traffic signal supplying power is one of the biggest bottlenecks researchers are facing in implementing these idea. Our main aim in this paper is to maximize the energy harvesting with limited strai...Show More
Optimization of MEMS Type Pressure Sensor with Pressure Range 0 to 1.1 Bar
Publication Year: 2020,Page(s):082 - 086
Cited by: Papers (3)
As the change in technology with regular updation and upgradation deals in making system more compact and highly sensitive in terms of MEMS based pressure sensor which leads to build a highly optimize, sustainable and high response system. In this paper, the main objective is to get higher sensitivity with the given range of pressure. The range of the pressure will be in range 0 to 1.1 bar. Main f...Show More
Mechanisms for Improving the Productivity of the Existing Photovoltaic Panels: A Review
Publication Year: 2020,Page(s):087 - 090
Cited by: Papers (1)
Increasing the productivity of the photovoltaic panels is a major problem in recent developments. An existing operative solar panel is far from being optimized, because of the critical problems like weather changes, dust deposition and stains deposited over it. Weather changes are due to temperature, humidity, and cloudy atmosphere, dust deposition due to plants, traffic, air pollution and stains ...Show More
Proceedings
The proceedings of this conference will be available for purchase through Curran Associates.
Computational Performance Evaluation (ComPE), 2020 International Conference on
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