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Visual Analytics and Data Visualization (iCVADV), international Conference on

作者： s. Muthumarilakshmi A. sairam N. Mohankumar D. Hemalatha s. Velmurugan t. R. GaneshBabu Department of CSE Chennai Institute of Technology Chennai Tamil Nadu India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamil Nadu India Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University) Pune India Department of Artificial Intelligence & Data Science Chennai Institute of Technology Chennai India Department of Electronics and Communication Engineering T.J.S. Engineering College Tamil Nadu India Department of Electronics and Communication Muthayammal Engineering College (Autonomous) Tamil Nadu India

ISBN: (数字)9798331521394

ISBN: (纸本)9798331521400

An innovative method for improving mall traffic flow utilizing iot devices and reinforcement learning (RL) methods in footfall analytics is presented. inefficiencies, congestion, and less-than-ideal consumer experiences are common outcomes of the conventional wisdom about managing mall foot traffic. Our proposed system uses internet of things (iot) sensors to track shoppers' flow and density in real time. this data is then input into an RL model to optimize and predict traffic flow patterns. Aiming to enhance the shopping experience and distribute foot traffic more equitably, the system automatically adjusts parameters, including digital signage, escalator functioning, and store promotions. simulation and pilot deployment results show substantial improvement in lowering congestion and boosting mall visitors' time spent there. By integrating iot with powerful machine learning (ML) algorithms, this integrated technique demonstrates how smarter and more responsive retail environments may be created. iot and RL improves mall traffic flow by analyzing footfall trends, optimizing routing, mitigating congestion, and enhancing customer experience.

关键词： technological innovation smart cities Visual analytics scalability Reinforcement learning Routing Real-time systems sensor systems internet of things intelligent sensors

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intelligent Campus safety Management using iot and CNNs for surveillance, Access, and Emergency Response

Intelligent Campus Safety Management using IoT and CNNs for ...

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innovation in technology (iNOCON), iEEE international Conference for

作者： V. sasirekha R. Ramadevi Presitha Aarthi M C. Malarvizhi N. Mohankumar s. Velmurugan Faculty of Management Studies SRM Institute of Science and Technology Chennai Tamil Nadu India Department of Biomedical Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India Department of Computer Science and Engineering Shree Sathyam College of Engineering and Technology Salem Tamil Nadu India Department of Electronics and Communication Engineering Rajalakshmi Institute of Technology Chennai Tamil Nadu India Department of Electronics and Communication Engineering B.V. Raju Institute of Technology Hyderabad Telangana India Department of Electronics and Communication Engineering T.J.S. Engineering College Chennai Tamil Nadu India

this paper introduces a novel strategy for improving campus security by combining Convolutional Neural Networks (CNNs) with internet of things (iot) technology. For a smart campus safety management system, the suggested solution integrates advanced monitoring with access control and emergency response methods. iot devices are placed in key locations across the campus to gather data in real-time. this data is then analyzed using CNNs to ensure strong monitoring and the identification of anomalies. implementing CNNs allows for the detection of possible dangers, while access control measures guarantee protected entry points. the system makes use of Ai-powered intelligent emergency response methods to optimize and speed up crisis management. through the implementation of this all-encompassing strategy, want to build a safer and smarter educational ecosystem by guaranteeing the safety of campus settings. the research showcases the possibility for scalable deployment in varied campus contexts by demonstrating the usefulness of the proposed system via simulations and real-world deployments.

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Heart (Pulse Rate) monitoring using pulse rate sensor, piezo electric sensor and NodeMCU 8

Heart (Pulse Rate) monitoring using pulse rate sensor, piezo...

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8th international Conference on Computing for sustainable Global Development, iNDiACom 2021

作者： Patil, Charushila Chaware, Anita Pratibha College Pune India S. N. D. T. Women's University Mumbai India S. N. D. T. Women's University Department of Computer Science and Engineering Mumbai India

ISBN: (纸本)9789380544434

traditionally, for monitoring one's health condition, one has to visit the hospitals and it is very hectic work and uncomfortable for every one especially for the patients and their relatives. For life style disease like hypertension and Blood Pressure, one need to daily monitor their health. Hence, monitoring patients remotely is the need of Era, where there is the huge use of iCt in every sector of life. With the use of information and communication technology, the health care systems have produced timely and reliable systems not only in the hospitals, but can be used now in the homes, and even in the workplace of the patients, which in turn is proving to be *** main objective of this paper is to build a wireless heart monitoring system, for monitoring patients at any location, any time. this paper has proposed a model for monitoring heart patients using internet of things (iot), which would help them to keep track of their record in real time. in this system, sensors are used to continuously monitor the patient's pulse rate and resonance frequency. this real-time monitoring of a patient's heart would reduce the chances of heart attack and will save many lives. the data collected from this systems can be used further for the analysis purpose. this paper shows that many short coming of traditional system can be overcome by using such remote iCt based healthcare system. © 2021 Bharati Vidyapeeth, New Delhi. Copy Right in Bulk will be transferred to iEEE by Bharati Vidyapeeth.

关键词： internet of things

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A review paper on wireless sensor network techniques in internet of things (iot)

A review paper on wireless sensor network techniques in Inte...

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international Conference on Computations in Materials and Applied engineering, CMAE 2021

作者： Gulati, Kamal Kumar Boddu, Raja sarath Kapila, Dhiraj Bangare, sunil L. Chandnani, Neeraj saravanan, G. ASIBAS Amity University Noida India Department of CSE Lenora College of Engineering Andhra Pradesh Rampachodavaram India Department of Computer Science and Engineering Lovely Professional University Phagwara India Department of I.T. Sinhgad Academy of Engineering Pune India Military College of Telecommunication Engineering Madhya Pradesh Mhow India Department of Electrical and Electronics Engineering KPR Institute of Engineering and Technology Coimbatore India

in recent times, it has been witnessed that wireless systems based on iot-based have developed rapidly in various sectors. the iot (internet of things) is the network in which physical devices, equipment, sensors and other objects can communicate among themselves without human involvement. the WsN (Wireless sensor Network) is a central component of the iot, which has proliferated into several different applications in real-time. the iot and WsNs now have various critical and non-critical applications impacting nearly every area of our everyday life. WsN nodes are usually small and battery-driven machines. thus, the energy effective data aggregation techniques that increase the lifespan of the network are highly significant. Various approaches and algorithms for energy-efficient data aggregation in iot-WsN systems were presented. this paper reviews the literature with specific attention to aspects of wireless networking for the preservation of energy and aggregation of data. © 2021 Elsevier Ltd. All rights reserved.

关键词： Energy efficiency

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Cheating Prevention in improved Extended Progressive Visual Cryptography scheme

Cheating Prevention in Improved Extended Progressive Visual ...

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international Conference on Computing in engineering and technology, iCCEt 2019

作者： Bhagate, suhas B. Kulkarni, Prakash J. Department of Computer Science and Engineering D.K.T.E.’s Textile and Engineering Institute Ichalkaranji India Department of Computer Science and Engineering Walchand College of Engineering Sangli India

ISBN: (纸本)9789813295148

securing information from unauthorized access is mandatory in day-to-day life. secret sharing schemes deal with security of information while exchanging it with others. Visual cryptography scheme (VCs) is a secret sharing scheme for visual information like images and video. Right from the inception of VCs, various revisions are done to original VCs, like k out of n VCs, extended VCs, progressive visual cryptography scheme (PVCs), and so on. some common issues of various VCss are: pixel expansion, poor contrast of share images constructed, poor accuracy of reconstruction and management of noise-like random shares. improved extended progressive visual cryptography scheme (iEPVCs) deals with all these issues, but suffers from the problem of cheating with VCs. the commonly used approach for cheating with VCs is to introduce fake shares in the system and affect the reconstruction of secret information. Very few VCs deal with cheating by fake shares introduction. A cheating prevention mechanism is introduced in iEPVCs to handle the issue of fake shares and prevent the recovery system from reconstructing wrong secret image. © 2020, springer Nature singapore Pte Ltd.

关键词： image reconstruction

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Performance optimization of microbial electrolysis cell (MEC) for palm oil mill effluent (POME) wastewater treatment and sustainable Bio-H2 production using response surface methodology (RsM)

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iNtERNAtiONAL JOURNAL OF HYDROGEN ENERGY 2022年第34期47卷 15464-15479页

作者： Chandrasekhar, Abudukeremu Kadier ab Junying Wang ab K. Wang, Junying Chandrasekhar, K. Abdeshahian, Peyman islam, M. Amirul Ghanbari, Farshid Bajpai, Mukul Katoch, surjit singh Bhagawati, Prashant Basavaraj Li, Hui Kalil, Mohd sahaid Hamid, Aidil Abdul Abu Hasan, Hassimi Ma, Peng-Cheng [a]Laboratory of Environmental Science and Technology The Xinjiang Technical Institute of Physics and Chemistry Key Laboratory of Functional Materials and Devices for Special Environments Chinese Academy of Sciences Urumqi 830011 China [b]Center of Material and Opto-electronic Research University of Chinese Academy of Sciences Beijing 100049 China [c]School of Civil and Environmental Engineering Yonsei University Seoul 03722 Republic of Korea [d]Department of Biotechnology Engineering School of Lorena University of São Paulo São Paulo 12602-810 Brazil [e]Laboratory for Quantum Semiconductors and Photon-based BioNanotechnology Department of Electrical and Computer Engineering Faculty of Engineering Université de Sherbrooke Sherbrooke Québec J1K 2R1 Canada [f]Research Center for Environmental Contaminants (RCEC) Abadan University of Medical Sciences Abadan Iran [g]Environmental Engineering Lab Civil Engineering Department National Institute of Technology Hamirpur Hamirpur Himachal Pradesh 177005 India [h]Faculty of Engineering Department of Civil Engineering Annasaheb Dange College of Engineering and Technology Ashta Maharashtra 416301 India [i]Department of Chemical and Process Engineering Faculty of Engineering and Built Environment National University of Malaysia (UKM) UKM Bangi 43600 Selangor Malaysia [j]School of Biosciences and Biotechnology Faculty of Science and Technology National University of Malaysia (UKM) UKM Bangi 43600 Selangor Malaysia [k]Research Centre for Sustainable Process Technology Faculty of Engineering and Built Environment National University of Malaysia (UKM) UKM Bangi 43600 Selangor Malaysia

Microbial electrolysis cells (MECs) are a new bio-electrochemical method for converting organic matter to hydrogen gas (H-2). Palm oil mill effluent (POME) is hazardous wastewater that is mostly formed during the crude oil extraction process in the palm oil industry. in the present study, POME was used in the MEC system for hydrogen generation as a feasible treatment technology. to enhance biohydrogen generation from POME in the MEC, an empirical model was generated using response surface methodology (RsM). A central composite design (CCD) was utilized to perform twenty experimental runs of MEC given three important variables, namely incubation temperature, initial pH, and influent dilution rate. Experimental results from CCD showed that an average value of 1.16 m(3) H-2/m(3) d for maximum hydrogen production rate (HPR) was produced. A second-order polynomial model was adjusted to the experimental results from CCD. the regression model showed that the quadratic term of all variables tested had a highly significant effect (P < 0.01) on maximum HPR as a defined response. the analysis of the empirical model revealed that the optimal conditions for maximum HPR were incubation temperature, initial pH, and influent dilution rate of 30.23 ?, 6.63, and 50.71%, respectively. Generated regression model predicted a maximum HPR of 1.1659 m(3) H-2/m(3) d could be generated under optimum conditions. Confirmation experimentation was conducted in the optimal conditions determined. Experimental results of the validation test showed that a maximum HPR of 1.1747 m(3) H-2/m(3) d was produced. (c) 2021 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

关键词： Microbial electrolysis cell (MEC) Hydrogen production Palm oil mill effluent (POME) Wastewater Optimization Response surface methodology (RsM)

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telehealth Data security and Privacy solutions for sensitive Health Records using Cloud Computing and isolation Forest Algorithm

Telehealth Data Security and Privacy Solutions for Sensitive...

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self sustainable Artificial intelligence systems (iCssAs), international Conference on

作者： A Prathik s. Parveen Banu B s sagar A. John Felix Prakash R thamizhamuthu s. Velmurugan Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India Department of Commerce Saveetha College of Liberal Arts and Sciences Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai Tamil Nadu India Department of Electrical and Electronics Engineering REVA University Bengaluru Karnataka India Department of Computer Science and Engineering Chennai Institute of Technology Chennai Tamil Nadu India Department of Computing Technologies SRM Institute of Science and Technology Kattankulathur Campus-Chengalpattu Chennai Tamil Nadu India Department of Electronics and Communication Engineering T.J.S. Engineering College Chennai Tamil Nadu India

ISBN: (数字)9798350368413

ISBN: (纸本)9798350368420

Protecting the confidentiality of patient’s personal health information as it is sent and kept in the cloud is of the utmost importance due to the increasing number of telehealth services. this research provides a new healthcare data security approach using cloud computing and the isolation Forest method. to identify important challenges and provide a novel technique, a thorough literature study on telehealth security, privacy issues, and cloud-based solutions. it uses the isolation Forest method for anomaly detection in combination with encryption and access restriction systems to identify intrusion attempts. it uses simulated telehealth data in trials to test the system’s work. Findings show substantial gains in privacy and data security with computational burden. Healthcare practitioners and legislators will find results useful in their pursuit of solutions to the problem of securing patients’ private health information throughout the rise of telemedicine.

关键词： Cloud computing Data privacy Privacy telemedicine Data security Medical services Forestry Encryption security Anomaly detection

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structural and Electrical studies on Zns Quantum Dots Using PEG as Capping Agent

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Macromolecular symposia 2023年第1期407卷 2200005-2200005页

作者： sharma, Harit Kumar shukla, Pushpendra Kumar Agrawal, shanker Lal SSI Laboratory Department of Physics A.P.S. University Madhya Pradesh Rewa486003 India I.T.S. Engineering College Uttar Pradesh Greater Noida201308 India Vindhya Institute of Technology and Science Madhya Pradesh Satna485001 India

Zinc sulfide (Zns) nanoparticles are produced in this study utilizing a simple wet-chemical precipitation procedure using polyethylene glycol (PEG) as a capping agent. to analyze the structural, morphological, electrical, and electronic properties of the material, the Zns nano powder is studied using X-ray diffraction (XRD), scanning electron microscopy (sEM), FtiR, UV–visible absorption spectroscopy, and impedance spectroscopy techniques. the XRD patterns confirm the formation of the cubic phase in as-prepared Zns samples, whereas sEM and AFM images show the formation of prismatic and spherical morphology of nano crystallites, confirming the XRD results. FtiR spectra confirm formation of Zns stoichiometric compound with a partial shifting of vibration bands in the presence of PEG in precursor solution. Optical band gap spectra show a blue shift of band gap with decrease in particle size. the controlled growth kinetics in the presence of PEG the Zns synthesized nanoparticles show a better quantum confinement effect and enhancement of electrical conductivity behavior as predicted from impedance measurements. For the temperature range of the current investigation, the temperature dependence of conductivity is found to obey the Davis-Mott model. © 2023 Wiley-VCH GmbH.

关键词： Zinc sulfide

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Performance Evaluation and Comparison of Clustering Algorithms for social Network Dataset

Performance Evaluation and Comparison of Clustering Algorith...

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international Conference on Contemporary Computing and informatics (iC3i)

作者： Ramakrishna Kumar M.V.N.M Vibhoo sharma Keshav Gupta Abhishek Jain Bhanu Priya M. s. R. Prasad Department of Electrical and Communication College of Engineering National University of Science and Technology Muscat Sultanate of Oman Department of I. T. Hindustan College of Science & Technology Mathura Uttar Pradesh India GRD Institute to Technology and Management Dehradun Uttara Khand India Department of C.S.E. Uttaranchal University Dehradun Uttara Khand India Department of Computer Science & Engineering Teerthanker Mahaveer University Moradabad U.P. India Department of Computer Science & Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh India

Evaluation of the effectiveness of various clustering methods using an enhanced K-Mean algorithm is shown in this paper. Essential data mining techniques, such as clustering techniques, divide things into proper subgroups. Data can be described and analyzed using clustering. Compared with K-Means, Hierarchical, and E.M. Algorithms in this study is the improved K-Means Clustering Algorithm. the algorithms are used to compare the performance of the clusters based on how long it takes to assemble them. the enhanced K-Mean Algorithm performed much better results than traditional algorithms. Additionally, the Confusion Matrix is revealed.

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Design of Compact Dual Band-stop Frequency selective surface for shielding Application

Design of Compact Dual Band-Stop Frequency Selective Surface...

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2021 international Conference on computer Communication and informatics, iCCCi 2021

作者： Krishnan, Rahul Babu, R Ganesh Lalitha, K. Atla, Rajasekhar Vanaja swetha Rajalakshmi Institute of Technology Department of Electronics and Communication Engineering Chennai India Srm Trp Engineering College Department of Electronics and Communication Engineering Tiruchirappalli India S.R.M. Institute of Science and Technology Department of Electronics and Communication Engineering Chennai India N.B.K.R.I.S.T Vidyanagar Department of Electronics and Communication Engineering India

ISBN: (纸本)9781728158754

this paper introduces a compact dual bandstop frequency selective surface (F.s.s.) for shielding applications. the octagonal and square looped model projected in this paper act as a band rejects filter for the frequencies 2.4 GHz and 5 GHz. the proposed model simulated using Cst MWs electromagnetic simulation software. the current distribution for the two resonance frequencies is analyzed well. the proposed unit cell provides a symmetrical shape which enable stable performance in both t.E. and t.M. mode. the angular stability was assessed in various angles of incidence from (0°-60°). in t.E. polarization, the transmission and reflection coefficient for second resonance frequency shifted by +0.5 GHz and -0.5 GHz. © 2021 iEEE.

关键词： Frequency selective surfaces

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