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Gini Index Test Metric Based Collaborative Sensing of Spectrum for Cognitive Networks

Journal of Physics: Conference Series 2021年第2期1964卷

作者： G T Bharathy V Rajendran S Bhavanisankari V Balaji Department of ECE Jerusalem College of Engineering Chennai Tamilnadu India Department of ECE Vels Institute of Science Technology & Advanced Studies Chennai Tamilnadu India Department of Mathematics Sacred Heart College Tirupatur Tamilnadu India

The key confront for a cognitive radio network is to identify the presence of primary users consistently so as to curtail the intrusion to license approved communications. Consequently, sensing of spectrum is a main significant requisite of a cognitive network. Nevertheless, because of the ambiguity in the channel, local interpretations don't provide a trustworthy solution and therefore collaboration is needed between the users. Collaborative spectrum sensing is a competent scheme to enhance the spectrum utility in wireless networks, which utilizes cooperation between multiple nodes to prevail over the inadequacy of single-node to improve the performance of detection. In this paper, a detailed investigation, simulation and comparative analysis of collaborative scheme for sensing the spectrum of cognitive networks based on Gini Index test metrics is done and the results are compared with various other detecting schemes. The simulation is accomplished by means of Matlab R2014 software.

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Synthesis, processing and finite element analysis of CNT based polymer composites

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AIP Conference Proceedings 2021年第1期2395卷

作者： Sanoop Sebastian VijayAnanth Suyamburajan Kumar R Ajith Arul Daniel 1Department of Mechanical Engineering Kmct College of Engineering Kozhikode India 3Department of Mechanical Engineering Vels Institute of Science Technology and Advanced Studies Chennai India 2Department of Mechanical Engineering Mai-Nefhi College of Engineering and Technology P.O.BOX I2676 Asmara Eritrea

One of the most reverting materials with atypical properties is Carbon Nanotube. The magnificent possessions of Carbon nanotubes have engrossed many in nano science and nanotechnology manifesto, though nanotubes are very favourable in a wide range of province. Its entreaty discrete nanotube for wide range has been bounded. To enhance its practical applications, piles of nanotube materials have lately allured attentions especially by evolution of polymer amalgamation. Finite Element Analysis (FEA) is the contemporary analysis hub for this method, which is used to examine the astounding properties of CNT, based polymer fusion. The present review focus on the methods of Finite Element Analysis (FEA) used to analyse these extraordinary properties of CNT based polymer composites with ANSYS and ABAQUS software.

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Heart Disease Prediction and Analysis using PCO, LBP and Neural Networks

Heart Disease Prediction and Analysis using PCO, LBP and Neu...

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International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)

作者： G. Suseendran Noor Zaman M. Thyagaraj R. K. Bathla Department of Information and Technology School of Computing Sciences Vels Institute of Science Technology & Advanced Studies Chennai India School of Computing and Information Technology Taylor’s University Selangor Malaysia Department of Computer Science Nazareth College of Arts and Science Chennai India Department of Computer-Science & Engineering Madhav University Rajasthan India

ISBN: (数字)9781728137780

ISBN: (纸本)9781728137797

Many diseases have been invited to human body due to the changes that occur in lifestyle. In Asian subcontinent as report of WHO the main cause of death is due to heart or cardiovascular disease. The primary requirement of the system is to reduce the symptoms dataset since there are many symptoms that leads to heart disease so that can take easy decision and treat clinically. In this paper many kinds of heart disease and symptoms responsible for that were discussed. In this paper initially heart local binary pattern and PCA have been used along with artificial neural network for heart disease prediction. Where LBP and PCA are for feature extraction and feature set size reduction and neural network for classification and verifying accuracy of the system. The complete prediction system have been developed with Matlab tool and predicts almost 95% of heart problems.

关键词： Diseases Heart Medical diagnostic imaging Principal component analysis Feature extraction Neural networks

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5G Network Security Issues, Challenges, Opportunities and Future Directions: A Survey

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Journal of Physics: Conference Series 2021年第1期1979卷

作者： Mamoona Humayun Bushra Hamid NZ Jhanjhi G. Suseendran M N Talib dept of Information systems College of Computer and Information Sciences Jouf University Al-Jouf KSA University Institute of Information Technology PMAS Arid Agriculture University Rawalpindi Pakistan School of Computer Science and Engineering (SCE) Taylor's University Malaysia Department of Information Technology Vels Institute of Science Technologyand Advanced Studies Chennai India Papua New Guinea University of Technology Lae PNG Papua New Guinea

5G is expected to bring tremendous advancement in wireless cellular network by providing faster speed, high capacity and low latency. It has widely been adopted in various parts of the world and is expected to bring a noteworthy revolution in major industries and overall economies. Although 5G service providers are promising integrity, confidentiality and availability of data, still security is an important concern that needs to be addressed. This paper provides a detailed survey on 5G security by addressing 5G opportunities, common threats targeting 5G network along with their mitigation strategies, security services offered by 5G networks and 5G security challenges. We have also provided a case study to demonstrate the potentials of 5G. This survey will help 5G researchers, service providers and 5G users in getting quick awareness of 5G network.

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Trust framework for online products and services using grain level comparison: A solution to boot-strapping problem

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IOP Conference Series: Materials science and engineering 2020年第1期993卷

作者： M N Talib M Akhtar NZ Jhanjhi G. Suseendran Papua New Guinea University of Technology Lae PNG Department of Computer Science & Engineering Taylor's University Malaysia Department of Information Technology Vels Institute of Science Technologyand Advanced Studies Chennai India

Service-oriented architecture has changed the way that web applications are designed. Today users are more inclined towards online products and services to save time, energy, and cost. However existing frameworks for online purchasing have certain drawbacks and one of the foremost is 'trust'. Hence the struggle is to build such a system trust that offers commendations to the customer for the products and services even with inadequate resources; consequently building customer's trust upon the vender as well as the system. Current systems available only utilize trust by providing product features and comparison using the rating system. However, a problem occurs when a 'Bootstrapping issue' is raised, i.e., if a new company emerges in the market then the existing system cannot generate a trust rating for it; the same goes for the new product. Such a problem can cause an uncertain situation for the customer to; a) whether go for the existing product or b) the new product of a new company. In this article, we propose a system trust using a novel framework, which can solve the problem of bootstrapping using a 'grain level approach'. By providing a high level of granularity, the details of the product's specs and features will be much in-depth, which will offer the customer an enhanced platform to examine and compare the product amongst several other similar products and ultimately coming to a decision to purchase it by trusting it. As a result, the decision-making power of the customers will be strengthened and the system's trust will be extended.

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Modal Analysis Of Electrical Motor Casing

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IOP Conference Series: Materials science and engineering 2021年第1期1112卷

作者： T Srinivasan. S Sharavanan. E Naveen. Sethuvelappan P Ramanan. Professor Department of Mechanical Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Guntur Andra Pradesh India Asst Professor Department of Mechanical Engineering Vels institute of science Technology and Advance Studeis Pallavaram Chennai Asst Professor Department of Mechanical Engineering Sri Sairam Engineering College Chennai UG Scholar Department of Mechanical Engineering St. Joseph's College of Engineering OMR Chennai Engineer Synce Engineering Service Chennai

Getting analytical and mathematical solutions for issues involving difficult geometries, loading and material properties, it is usually unacceptable. Analyticalsolutions that are given by a location in a body. This analyticalsolution usually needs standard or partial differential equations that are not obtained. Hence there is the need to rely on numerical strategies, like finite component strategies for acceptable solutions. Most sensible issues involve sophisticated domains (both material and material constitution), hundreds and non-linearities that forbid the event of analytical solutions exploitation numerical strategies. A numerical method, with the arrival of computer, is often used for the investigation and analysis of the results of varied parameters of the system on analyzed. It is price effective and saves time and material resources compared to the multitude of physical experiments required to realize a similar level of the understanding. The ability of numerical strategies and electronic computation, make incorporation of all relevant options during a mathematical model of a physical method not attainable without fear concerning its solutions by precise means. Those who are fast to use a computer program rather than think about the problem to be analyzed may find it difficult to interpret the input file to the computer program, a decent understanding of the underlyingtheoiy of the matter still as numerical methodology is needed.

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Soil extract calcium phosphate media for screening of phosphate-solubilizing bacteria

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Agriculture and Natural Resources 2018年第3期52卷 305-308页

作者： Joe, Manoharan Melvin Deivaraj, Shalini Benson, Abitha Henry, Allen John Narendrakumar, G. Department of Microbiology School of Life Sciences VELS University Chennai 600117 India School of Biotechnology School of Life Sciences VELS University Chennai 600117 India Department of Biotechnology Faculty of Bio and Chemical Engineering Sathyabama Institute of Science and Technology 600119 India S. Thangapazham Agricultural College Vasudevanallur Tirunelvelli 627758 India

Media development for screening bacteria capable of solubilizing inorganic complex forms of phosphorous to a soluble form is a major concern in agricultural research. This study formulated an effective, alternative solid and liquid media to the currently available Pikovskaya (PVK) medium, which relies on the use of calcium phosphate and numerous inorganic components for the screening of phosphate-solubilizing bacteria. In this present study, soil extract calcium phosphate (SECP) broth was formulated with simple medium requirements. SECP broth performed better than PVK broth as evidenced by its ability to support a higher bacterial population, higher reduction in broth pH and higher organic acid production and ultimately a better phosphate solubilization, based on the zone of clearance using bromocresol green or congo red in addition to bromothymol blue. Apart from calcium phosphate, rock phosphate and aluminum phosphate were also used as phosphate sources for the screening of different phosphate-solubilizing strains. This solid SECP medium could be used effectively with other phosphorous sources such as rock phosphate and aluminum phosphate. A high correlation between solid-based assay and broth-based assay for screening of phosphate-solubilizing bacteria was observed in the study. © 2018 Kasetsart University

关键词： Aluminum phosphate Bacillus spp. Calcium phosphate Phosphate solubilization Rock phosphate

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A Survey on Fresh Produce Grading Algorithms Using Machine Learning And Image Processing Techniques

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IOP Conference Series: Materials science and engineering 2020年第4期981卷

作者： Mrs. T K AmeethaJunaina Dr. B Ebenezer Abishek Dr. Vr Rajendren Dr. Shakir Mohammed Dr. P Sathish Kumar Research Student Electronics and Communication Engg. Vels Institute of Science Technology and Advanced Studies Assistant Professor Department of ECE KMCT College of Engineering NITC P.O Kozhikode 673601 Assistant Professor Electronics and Communication Engg. Vels Institute of Science Technology and Advanced Studies Chennai India Electronics and Communication Engg. Vels Institute of Science Technology and Advanced Studies Chennai India Senior Data Scientist White-box Analytics Sydney Australia

Agriculture has been the backbone of the Indian economy. Automation in the agriculture field helps to improve productivity and economic growth. The export market for fresh produce requires fast and reliable fruit and vegetable quality detection techniques. The traditional manual system of quality assessment is a time consuming and tedious task which is more prone to error. The goal of supply-chain management is to add product value by maintaining quality, reduce wastage of fresh produce, retain consumers by keeping customer satisfaction, and increase the profitability. Researches are going on in various domain to develop a fast and reliable automated fruit quality grading system which helps to meet the food value goals of supply-chain. This paper focuses on a detailed survey of the researches being carried out on various techniques used in post-harvest grading of fresh produces using computer vision, image processing and machine learning techniques. Few papers have been reviewed and discussed here pertaining to the above techniques. The advantages and shortcomings of various methods are also mentioned. This comprehensive paper will give researchers a deeper insight to the state of the art technologies in fresh produce grading system.

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Multi-walled carbon nanotube mixed with isopropyl alcohol Nano fluid for heat transfer applications

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Materials Today: Proceedings 2019年 18卷 4690-4694页

作者： K. Logesh S. Baskar B. Yuvan Siddarth K. Arun Sherwin P. Naresh Department of Mechanical Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Avadi Chennai Tamil Nadu 600062 India Department of Automobile Engineering VELS Institute of Science Technology & Advanced Studies (VISTAS) Chennai Tamil Nadu India Department of Mechatronics Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Avadi Chennai Tamil Nadu 600062 India Department of Automobile Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Avadi Chennai Tamil Nadu 600062 India

This paper deals on various the heat transfer properties of Multiwall Carbon Nanotubes /IPA Nano fluids flow inside tube heat exchanger. The data’s was obtained for laminar flow in the experimental work with the constant wall temperature. The tube wall was kept at constant temperature about 90 °C leading to constant temperature boundary condition. Initially, the nanofluids were prepared with different concentrations to study the thermo physical property along with heat transfer behaviour in laminar flow.

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Corrigendum to "Development and comparison of machine learning models for in-vitro drug permeation prediction from microneedle patch" [Eur. J. of Pharm. Biopharm. 199 (2024) 114311]

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European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V 2024年 202卷 114424页

作者： Anuj A Biswas Madhukiran R Dhondale Maan Singh Ashish K Agrawal Prakash Muthudoss Brahmeshwar Mishra Dinesh Kumar Department of Pharmaceutical Engineering and Technology Indian Institute of Technology (BHU) Varanasi Uttar Pradesh India. Electronic address: biswas.aachintya.phe19@itbhu.ac.in. Department of Pharmaceutical Engineering and Technology Indian Institute of Technology (BHU) Varanasi Uttar Pradesh India. Electronic address: madhukirandr.rs.phe22@itbhu.ac.in. Department of Pharmaceutical Engineering and Technology Indian Institute of Technology (BHU) Varanasi Uttar Pradesh India. Electronic address: maansingh.rs.phe23@itbhu.ac.in. Department of Pharmaceutical Engineering and Technology Indian Institute of Technology (BHU) Varanasi Uttar Pradesh India. Electronic address: ashish.phe@itbhu.ac.in. A2Z4.0 Research and Analytics Private Limited Chennai 600062 Tamilnadu India NuAxon Bioscience Inc. Bloomington IN 47401-6301 USA School of Pharmaceutical Sciences Vels Institute of Science Technology & Advanced Studies (VISTAS) Velan Nagar P.V. Vaithiyalingam Road Pallavaram 600117 Chennai Tamilnadu India. Electronic address: prakash.muthudoss@***. Department of Pharmaceutical Engineering and Technology Indian Institute of Technology (BHU) Varanasi Uttar Pradesh India. Electronic address: bmishra.phe@itbhu.ac.in. Department of Pharmaceutical Engineering and Technology Indian Institute of Technology (BHU) Varanasi Uttar Pradesh India. Electronic address: dinesh.phe@itbhu.ac.in.

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