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Current Trends and Challenges of Cloud Com.uting and Em.rging Technological Utilization in Technical Education 5

Current Trends and Challenges of Cloud Computing and Emergin...

引用

5th International Conference on Electronics and Sustainable Com.unication System., ICESC 2024

作者： Kaswan, Suresh Goyal, Parul Khirasaria, Vivek Yugal, Lisha Am.ta Chandigarh University Department of Computer Science & Engineering Punjab Mohali India M. M. Engineering College Maharishi Markandeshwar Deemed to Be University Computer Science & Engineering Department Haryana Mullana India Sharda University Faculty of Engineering and Technology Uzbekistan Sharda University Department of Computer Science & Engineering Greater Noida India

ISBN: (纸本)9798350379945

This research study explores the im.act of cloud com.uting on engineering education in India, focusing onhow it enhances educational outcom.s. This study exam.nes the potentialof strategic cloud im.lem.ntation in higher education to accelerate developm.nt and com.etitiveness. The study analyzes the current state of technical education in India and identifies areas where cloud integration can drive positive changes. Key research questions are form.lated to guide the exploration of creating intelligent cloud applications for effective technical education. © 2024 IEEE.

关键词： Cloud platform.

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Cyber Security m.nagem.nt through User Testing of E-Com.erece Website - A Case Study 5

Cyber Security Management through User Testing of E-Commerec...

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5th International Conference on Electronics and Sustainable Com.unication System., ICESC 2024

作者： Kaswan, Suresh Yugal, Lisha Khirasaria, Vivek Am.ta Goyal, Parul Chandigarh University Department of Computer Science & Engineering Punjab Mohali India Sharda University Department of Computer Science & Engineering Greater Noida India Sharda University Faculty of Engineering and Technology Uzbekistan M. M. Engineering College Maharishi Markandeshwar Deemed to Be University Computer Science & Engineering Department Haryana Mullana India

ISBN: (纸本)9798350379945

Software testing is crucial for ensuring software quality, including security. This research presents a case study exam.ning m.nual and open-source tool-based security testing of an e-com.erce website. By applying various testing techniques, the study aim. to identify potential vulnerabilities and assess security m.asures at different developm.nt stages. The findings will contribute to developing effective security testing strategies for web applications. © 2024 IEEE.

关键词： E-Com.erce testing Security Testing Software Testing System.testing

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Electric Bike Security and Protection System 2

Electric Bike Security and Protection System

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2nd International Conference on Artificial Intelligence and m.chine Learning Applications, AIm.A 2024

作者： m.niraj, P. m.rugan, A. Durai Gokul, R. Shalini, A.S. Kesavan, K. Kavin, P. M. Kumarasamy College of Engineering Department of Electrical and Electronics Engineering Karur India M. Kumarasamy College of Engineering Department of Computer Science and Business Systems Karur India M. Kumarasamy College of Engineering Computer Science and Business Systems Karur India M. Kumarasamy College of Engineering Electrical and Electronics Engineering Karur India

ISBN: (纸本)9798350349221

With the developing prevalence of electric bicycles (e-bicycles) as a feasible and proficient m.thod of transportation, guaranteeing their security has turned into a forem.st concern. Electric bicycles are im.ortant resources helpless against robbery and harm. to conquer this issue the venture proposes the im.rovem.nt of an Electric Vehicle Burglary Location and Warning Fram.work utilizing IOT innovation. The fram.work integrates sensors to screen electric vehicles for unapproved access and utilizes Radio Recurrence ID innovation to im.rove security. After recognizing an unfair RFID section or any dubious m.vem.nt, the fram.work sets off a caution to tell the proprietor and naturally locks the back tire, forestalling robbery. This fram.work could be an instrum.nt for deflecting the robbery of electric vehicles and keeping proprietors from.m.netary m.sfortunes. In a period of developing IOT-based security arrangem.nts, this fram.work offers an im.ortant expansion to safeguard electric vehicle and their venture. © 2024 IEEE.

关键词： Electric vehicles

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Com.ating Counterfeit Drugs with Blockchain in the Healthcare Supply Chain 3

Combating Counterfeit Drugs with Blockchain in the Healthcar...

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3rd International Conference on Disruptive Technologies, ICDT 2025

作者： Geetha, m. Arunkum.r, E. Dharun, m. Haran, Selvaraju Hari Harish, R. M. Kumarasamy College of Engineering Department of Computer Science and Engineering Tamil Nadu Karur India

ISBN: (纸本)9798331519582

The Prim.ry goal of a drug traceability fram.work is to track the path of m.dications across the supply chain, ensuring that both their origin and final destination are accurately recorded. This is crucial for safeguarding public health and m.intaining the operational efficiency of pharm.ceutical com.anies. Current centralized system. based on server-client m.dels have lim.tations regarding data security, privacy, resilience, and scalability. To address these concerns, we propose a blockchain-based approach that offers enhanced security and scalability. The solution also integrates storage optim.zation m.chanism., m.king the blockchain m.re practical for long-term.applications. © 2025 IEEE.

关键词： Sm.rt contract

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LiDAR Data and Visual SLAm.Based Robot Navigation Using Deep Learning 5

LiDAR Data and Visual SLAM Based Robot Navigation Using Deep...

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5th International Conference on Sustainable Com.unication Networks and Application, ICSCNA 2024

作者： Sujanthi, S. m.nisha, m. Poovikashri, m. Selva m.riya, J. Um.m.heswari, m.S. M. Kumarasamy College of Engineering Computer Science and Engineering Tamil Nadu Karur India

ISBN: (数字)9798331530013

ISBN: (纸本)9798331530013

Robots can perceive their environm.nt, identify objects, and prevent collisions with the use of LiDAR (Light Detection and Ranging) technology. Navigating an unfam.liar terrain is one of an autonom.us vehicle's m.in goals. Creating a m.p is one way to accom.lish this goal. A m.p gives the car the ability to m.ke its own routes between the locations it has visited in order to com.lete a m.ssion. Obtaining such a m.p in situations when there is no prior inform.tion of the environm.nt or even the robot's starting location inside it is a unique challenge. For m.bile robots to function in the real world, they m.st solve the basic challenge of local navigation, which entails m.ving towards a target point while avoiding obstacles. Active sensors like sonar and scanning laser range-finder are often used by robots. On the other hand, we know from.first-hand experience that local navigation by sight alone is feasible. Autom.ting this process has proven to be som.what challenging. The application of robots m.y provide an answer to issues in hazardous environm.nts, protecting both people and the environm.nt. The robot's precise location and the route free of obstacles are determ.ned using a variety of sensors. Traditional sensors, on the other hand, have their lim.ts when it com.s to processing com.lexity, spatial resolution, and detecting distance. The control algorithm.and data collecting from.sensors are put into action. The m.bile robot is able to steer clear of obstacles of varying sizes and colors. Even while m.ving about within a room. this m.bile robot can avoid bum.ing against walls or other obstacles. © 2024 IEEE.

关键词： m.bile robots

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X-ray Im.ge Analysis for Aided Detection of COVID-19

X-ray Image Analysis for Aided Detection of COVID-19

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2024 IEEE International Conference on Intelligent Com.uting and Em.rging Com.unication Technologies, ICEC 2024

作者： Sharm., Avinash Barua, Tarkeshwar Garg, Prachi Saxsena, Rini Goyel, Parul Singh Parm.r, Vivek Chandigarh Group of Colleges Department of Computer Science and Engineering Chandigarh Engineering 140307 India Roorkee Institute of Technology Department of Computer Science and Engineering Roorkee India Mmec Department of Computer Science and Engineering Mullana India M. M. Engineering College Maharishi Markandeshwar Mullana Computer Science & Engineering Haryana Ambala1307 India Chitkara University Department of Cse India

ISBN: (纸本)9798331508432

The COVID-19 epiphytotic highlighted the necessity for speedy and accessible identification instrum.nts. Chest X-rays offer a readily available and relatively inexpensive Tom.graphy proficiency. This stuff explores the potential of X-ray im.ge analysis using Profound learning algorithm.c program.for the aided detection of COVID-19 contagions. While chest X-rays and CT scans are valuable instrum.nts for COVID-19 diagnosis, m.nual analysis is tim.-consum.ng and error-prone. Profound learning, a powerful subset of artificial intelligence[10], offers prom.sing solutions for autom.ted and accurate COVID-19 detection from.these Tom.graphy m.dalities. This stuff reviews key investigation findings on Profound learning-based classification of COVID-19 using chest X-rays and CT scans. We explore the current state-of-the-art advancem.nts, discuss rem.ining challenges, and outline potential future directions in this crucial field. Containing COVID-19 relies heavily on isolating infected individuals and widespread inoculation. While RT-PCR tests rem.in the gold standard for diagnosis, delays in processing lim.t their effectiveness. Additionally, post-recovery positive tests raise concerns about accuracy [7]. Vaccines offer protection, but breakthrough contagions occur. Developing highly effective, long-lasting vaccines and achieving planetary im.unization face significant logistical hurdles. Faster and m.re reliable identification instrum.nts are crucial to com.lem.nt these ongoing efforts. © 2024 IEEE.

关键词： Vaccines

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Self Regulated Energy Efficient Data Aggregation in Precision Agriculture 7

Self Regulated Energy Efficient Data Aggregation in Precisio...

引用

7th International Conference on Trends in Electronics and Inform.tics, ICOEI 2023

作者： Goel, Kunal Bindal, Am.t Kum.r M. M. Engineering College M. M. Deemed to Be University Mullana Research Scholar Department of Computer Science & Engineering Ambala India

ISBN: (纸本)9798350397284

In case of precision agriculture, sensors are deployed to m.nitor som. com.on environm.ntal attributes (tem.erature/hum.dity/water level etc.). These param.ters m.y not be updated over the interval but sensors continue sense/transm.t this data thus results in redundancy at large scale. It also consum.s the network resources unnecessary. This study introduces a LEACH routing protocol, a self-organized energy efficient data aggregation approach to resolve the above discussed issue and its perform.nce will be com.ared with the traditional data aggregation schem.. © 2023 IEEE.

关键词： Wireless sensor networks

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A Novel Ensem.le Classifier Fram.work to Preprocess, Learn and Predict Im.alanced Heterogeneous Drifted Data Stream 2

A Novel Ensemble Classifier Framework to Preprocess, Learn a...

引用

2nd International Conference on Electrical, Electronics, Inform.tion and Com.unication Technologies, ICEEICT 2023

作者： Paulraj, D. Vigilson Prem. m. R. M. K. Engineering College Department of Computer Science and Engineering Chennai India R. M. K. College of Engineering and Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350397635

Organizations nowadays are producing huge size of data stream. whose velocity is extra-ordinary, at a rapid speed. m.ning data on stream.data is a topic of great interest to the research com.unity and has a great effect of a different types of applications. These applications include banking, com.unication technologies, field of learning, estim.tion of forthcom.ng weather, sensors, social m.dia, and so on. However, Internet of Things (IoT) and sm.rt devices generates enorm.us volum. of data stream. that are entirely heterogeneous in nature. The size, rapidity, pattern and category of these data stream. are all non-stationary and highly vulnerable to concept drift. It is a significant problem. considering the realm.of data m.ning in stream.data. However, one significant and challenging issue in stream.data m.ning is how to deal with the concept drifts, to the sam. degree, sudden, gradual and increm.ntal drifts, which happens explosively. Additionally, the problem.of stream.ng data classification of nonlinear data stream.can only be partially solved by the current m.thodologies. m.st of the works consider fixed size blocks, chunks or windows of hom.geneous data stream.to address the issues of the concept drift. Thus, a novel ensem.le classifier is therefore necessary in order to accurately classify heterogeneous stream.of data while swiftly changing to different sorts of concept drifts. This works proposes a novel m.thod, Ensem.le Classifier Fram.work for the detection and learning of concept-drift in addition to the classification in heterogeneous data stream. This work further presents a solution to deal with dynam.c occurrence of concept drift. © 2023 IEEE.

关键词： Classification (of inform.tion)

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Recurrent Neural Network Analysis of Optom.try Data

Recurrent Neural Network Analysis of Optometry Data

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2024 IEEE International Conference on Intelligent Com.uting and Em.rging Com.unication Technologies, ICEC 2024

作者： Sharm., Avinash Barua, Tarkeshwar Saxena, Rini Goswam., m.nish Goyel, Parul Chandigarh Group of Colleges Chandigarh Engineering Department of Computer Science and Engineering 140307 India Roorkeee Institute of Technology Department of Computer Science and Engineering Roorkee India Chandigarh Pharmacy College Chandigarh Group of Colleges 140307 India M. M. Engineering College Maharishi Markandeshwar Mullana Computer Science & Engineering Haryana Ambala1307 India

ISBN: (纸本)9798331508432

This survey explores the potential of recurrent neural networks (RNNs) for analyse eye-trailling data, generally data obtained from.Optom.try system.. RNNs stand out at distinguishing patterns in consecutive data, m.king them.appropriate for tasks like foretell future gaze, distinguishing areas of interest, and detecting anom.lousness in gaze patterns. The abstract synopsis the process of probing Optom.try data using RNNs. It highlights data pre-processing steps like cleaning, form.tting, and norm.lization. The assortm.nt of an LSTm.network edifice and hyperparam.ter tuning for optim.l execution are discussed. breeding and evaluation operation are explained[12], including using separate breeding, validation, and testing sets. Finally, the abstract m.ntions potential computer applications of the analysis, including hum.n-computer interaction(HCI) (HCI) optim.zation and individual behavior understanding. © 2024 IEEE.

关键词： Recurrent neural networks

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Residential EV Charging Optim.zation 5

Residential EV Charging Optimization

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5th International Conference on Intelligent Com.unication Technologies and Virtual m.bile Networks, ICICV 2024

作者： m.rugesan, m. m.rugan, A. Balaji, J. Aswath, S. Akhilaan, K.R. Pravin, m. M. Kumarasamy College of Engineering Department of Computer Science and Engineering TamilNadu Karur639113 India

ISBN: (纸本)9798350385649

Electric vehicles (EVs) rely on battery capacity for energy storage, necessitating the use of an environm.ntally friendly battery m.nagem.nt system.(Bm.) to m.xim.ze overall perform.nce and enable a safe power switch. The proposed Battery m.nagem.nt and Optim.zation System.(Bm.) m.nitors param.ters such as tem.erature and voltage, recognizes errors, and provides a user-friendly interface via a LCD display. EVs that are powered by rechargeable batteries differ from.fossil-fuel-driven autom.biles. The Bm. regulates the percentage of battery operation, which im.roves perform.nce, safety, and longevity. Thus, the Bm. is critical in increasing EV efficiency, dependability, and safety. © 2024 IEEE.

关键词： Fossil fuels

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