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International Conference on Circuit, Power and Computing Technologies (ICCPCT)

作者： Yazhini A M. Kalpana Devi M. Anitha R. Praveena Maheswari K Mol Jinsha Lawrence Faculty of Electrical Engineering College of Engineering Anna University Chennai India Department of Computer Science and Engineering Sri Ramakrishna Institute of Technology Coimbatore India Department of Computer Science and Engineering KIT - Kalaignarkarunanidhi Institute of Technology Coimbatore India Department of Computer Science and Engineering Jai Shriram Engineering College Tirupur India Veterinary College and Research Institute Thanjavur India Department of Computer Science Karpagam Academy of Higher Education Coimbatore Tamil Nadu India

ISBN: (数字)9798350372816

ISBN: (纸本)9798350372823

In order to lower death risks, provide the most effective course of treatment, and improve community healthcare, the majority of recent research has concentrated on examining prevalent illnesses in the population. One of the prevalent ailments that has impacted our society is kidney disease. Around the world, kidney tumors (KT) rank tenth in terms of frequency in both men and women. The organization of cancer is a problem that is attracting increasing attention in the domains of bioinformatics and computational biology. This study presents a comparative analysis of the latest developments in deep learning (DL) and machine learning (ML). While several methods have been proposed to tackle the cancer classification challenge, new research indicates that supervised and deep learning-based methods are the most effective. Healthcare has advanced as a result of the creation of numerous machine learning techniques for awareness evaluation in cancer categorization. It seems that there is a high requirement for the ongoing development of efficient categorization algorithms in order to handle the growth in healthcare applications. The comparative analysis of the proposed classification shows the accuracy as 0.92%.

关键词： Deep learning Support vector machines Accuracy Sensitivity Medical services Organizations Vectors

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Real-Time and Intelligent Flood Forecasting Using UAV-Assisted Wireless Sensor Network

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computers, Materials & Continua 2022年第1期70卷 715-738页

作者： Shidrokh Goudarzi Seyed Ahmad Soleymani Mohammad Hossein Anisi Domenico Ciuonzo Nazri Kama Salwani Abdullah Mohammad Abdollahi Azgomi Zenon Chaczko Azri Azmi Centre for Artificial Intelligent(CAIT) Universiti Kebangsaan MalaysiaBangi43600Malaysia School of Computer Engineering Iran University of Science and TechnologyResalat Sq.16846-13114TehranIran School of Computing Faculty of Engineering Universiti Teknologi MalaysiaJohorMalaysia School of Computer Science and Electronic Engineering University of EssexColchester CO43SQUnited Kingdom Department of Electrical Engineering and Information Technologies University of Naples“Federico II”Naples80125Italy Razak Faculty of Technology and Informatics Universiti Teknologi MalaysiaKuala Lumpur54100Malaysia School of Electrical and Data Engineering University of Technology SydneyUltimoNSWAustralia

The Wireless Sensor Network(WSN)is a promising technology that could be used to monitor rivers’water levels for early warning flood detection in the 5G ***,during a flood,sensor nodes may be washed up or become faulty,which seriously affects network *** address this issue,Unmanned Aerial Vehicles(UAVs)could be integrated with WSN as routers or data mules to provide reliable data collection and flood *** light of this,we propose a fault-tolerant multi-level framework comprised of a WSN and a UAV to monitor river *** framework is capable to provide seamless data collection by handling the disconnections caused by the failed nodes during a ***,an algorithm hybridized with Group Method Data Handling(GMDH)and Particle Swarm Optimization(PSO)is proposed to predict forthcoming floods in an intelligent collaborative *** proposed water-level prediction model is trained based on the real dataset obtained fromthe Selangor River *** performance of the work in comparison with other models has been also evaluated and numerical results based on different metrics such as coefficient of determination(R2),correlation coefficient(R),RootMean Square Error(RMSE),Mean Absolute Percentage Error(MAPE),and BIAS are provided.

关键词： Unmanned aerial vehicles wireless sensor networks group method data handling particle swarm optimization river flow prediction

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Internet of Things Security: A Review on Challenges, Solutions and Research Directions 7

Internet of Things Security: A Review on Challenges, Solutio...

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7th International Conference on Internet of Things and Applications, IoT 2023

作者： Zanjani, S. Mohammadali Shahinzadeh, Hossein Kargar, Seyed Mohamad Moazzami, Majid Ebrahimi, Farshad Hemmati, Mohammadreza Islamic Azad University Smart Microgrid Research Center Najafabad Branch Najafabad Iran Islamic Azad University Department of Electrical Engineering Najafabad Branch Najafabad Iran Amirkabir University of Technology Department of Electrical Engineering Tehran Iran Royal College of Art Computer Science Research Centre London United Kingdom University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Islamic Azad University Najafabad Branch Faculty of Computer Engineering Najafabad Iran

ISBN: (纸本)9798350369410

The Internet of Things (IoT) is a highly diverse system of services and technologies. However, the lack of a suitable processing platform can result in inappropriate outputs when transferring the large volume of heterogeneous data generated by devices to users. Ensuring the reliability of processed data is fundamental for maintaining integrity and reliability in IoT systems. As the number of connected devices increases, so does the risk of cyber-attacks. Hackers exploit vulnerabilities through methods like denial-of-service attacks, malicious emails, viruses, and Trojans, compromising IoT devices for their advantage. Recent studies indicate that 70% of IoT devices are vulnerable to attacks. Enhancing IoT security involves methods such as data encryption, security updates, security protocols, access control, and secure networks. Educating and raising awareness among users also plays a crucial role. Addressing these aspects and employing appropriate security measures are key to improving IoT security. This article reviews IoT challenges, security improvement methods, and future directions. Attention to data encryption, security updates, security protocols, access control, and secure networks is essential for enhancing IoT security. © 2023 IEEE.

关键词： Internet of things

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A Survey on DevOps Techniques Used in Cloud-Based IOT Mashups 5th

A Survey on DevOps Techniques Used in Cloud-Based IOT Mashup...

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5th International Conference on ICT for Sustainable Development, ICT4SD 2020

作者： Ganeshan, M. Vigneshwaran, P. Department of Computer Science and Engineering Jain Deemed to be University Bengaluru India Department of Computer Science and Engineering Faculty of Engineering and Technology Jain University Bengaluru India

ISBN: (纸本)9789811582882

Development life cycle involves writing scripts, testing, bug finding, recoding, documentation, and deployment, and this activity consumes more time. DevOps looks at automating the entire process. DevOps is a total software and template delivery system that gives importance to the interaction between operations and development fellows. Choosing the right technologies and crafting an IoT infrastructure need a sophisticated comprehensive methodology which can be difficult. DevOps consists of a set of people-oriented, technology-oriented, organizational methods, and tools that face challenges one after the other so that a smooth, easy, and flexible system is obtained. There are many STS practices involved in the development and crafting cloud-based IOT Mashups. We provide few theoretical points of the major IoT threats mentioned in the latest papers and a brief of research activity undertaken in DevOps world to overcome these demerits. This paper briefs the correlation between DevOps technical practices and the tools and engineering that enable uninterrupted integration and transmission, test mechanization, and quick implementation. This paper also gives insight on the tools that unite to give a "tool chain" of technology and services to excel the modular tasks of the template deployment and schedule of activities. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Machinery

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A Fuzzy Logic-based Expert System for generating SCADA of Caterpillar engine 23

A Fuzzy Logic-based Expert System for generating SCADA of Ca...

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23rd International Middle East Power Systems Conference, MEPCON 2022

作者： Fahmy, Nerveen M.T. Abdul-Kader, H.M. El-Din, Ashraf Zein Menoufia University Faculty of Engineering Department of Electrical Power and Machines Shebin El Kom Egypt Menoufia University Faculty of Computer and Information Science Department of Computer and Information Shebin El Kom Egypt

ISBN: (纸本)9781665463638

The development of a fuzzy logic-based expert system module to predict the fault diagnosis of software modules under uncertainty and non-precision of data was proved in this study. The expert system's rule-base and database are tuned using a Fuzzy logic system. A supervision system enabled an intelligent decision-making system to achieve the goals of the degree of variation, failure type, and location. The use of a fuzzy logic-based expert system to generate SCADA for a caterpillar CAT 3126B has been proposed. The main object of a fuzzy knowledge-based system is implemented by simulating the caterpillar's parameters in the SIMULINK/MATLAB environment. An intelligent Scada system uses an expert system to detect events and situations, to reason with the events, and then come up with a response, such as giving advice or taking corrective actions. © 2022 IEEE.

关键词： Fuzzy logic

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Physics-informed neural networks for classical and quantum communication with multimode fibers

Physics-informed neural networks for classical and quantum c...

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2024 Frontiers in Optics, FiO 2024

作者： Zhang, Qian Sun, Jiali Rothe, Stefan Czarske, Jürgen Faculty of Electrical and Computer Engineering TU Dresden Dresden01069 Germany Department of Applied Physics Yale University New HavenCT06520 United States Institute of Applied Physics School of Science TU Dresden Germany

Physics-informed neural networks provide mode decomposition based on intensity-only images in high-dimensional quantum communication using multimode fibers. © Optica Publishing Group 2024, © 2024 The Author(s)

关键词： Multimode fibers

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Determining the financial performance of the firms in the Borsa Istanbul sustainability index:integrating multi criteria decision making methods with simulation

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Financial Innovation 2024年第1期10卷 3592-3635页

作者： Ahmet Kaya Dragan Pamucar Hasan Emin Gürler Mehmet Ozcalici Department of Banking-Finance Applied Sciences FacultyAkdeniz UniversityAntalyaTurkey Faculty of Organizational Sciences University of BelgradeBelgradeSerbia College of Engineering Yuan Ze UniversityTaoyuanTaiwan Department of Computer Science and Mathematics Lebanese American UniversityByblosLebanon Department of International Trade and Logistics Applied Sciences FacultyAkdeniz UniversityAntalyaTurkey Department of International Trade and Logistics Faculty of Economics and Administrative SciencesKilis 7 Aralık UniversityKilisTurkey

Regardless of the industry in which a company operates,evaluating corporate performance is one of the most critical and vital processes;the most essential and prominent performance evaluation is related to financial *** performance analysis is complex and critical for decision-makers in different financial performance factors;thus,a methodological framework is needed to solve such complex decision ***,this research aims to rank the companies included in the sustainability index(excluding banks)in Turkey by considering their financial *** criteria weights were determined using the full consistency method(FUCOM)by considering the evaluations of four *** firms were ranked using nine multi-criteria decision-making *** consensus among the nine rankings was ensured with the Copeland *** decision matrix includes financial ratios and the stock market performance of the firms;100,000 FUCOM weights were created with random evaluations to validate the *** results indicate that the most crucial criterion is the current ratio by considering expert *** simulation indicates that alternative 16(alternative 21)is superior(inferior)to the other alternatives,even though the weights are determined with random *** with expert evaluations is similar to the mean of the weight simulation *** results demonstrate that the proposed framework can be performed as a basis for financial performance ranking.

关键词： Financial performance BIST sustainability index Simulation MCDM techniques

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Wearable Sensors and Real-Time System for Detecting violence using Artificial Intelligence

Wearable Sensors and Real-Time System for Detecting violence...

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2022 International Conference on Advanced Computing Technologies and Applications, ICACTA 2022

作者： Arthi, B. Sridhar, S. Poornapushkala, K. Arya, Amit Rajasekhar, Dasari SRM Institute of Science and Technology Faculty of Engineering and Technology Department of Computer Science and Engineering Chennai603203 India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Computer Science and Engineering Chennai India Sri Sairam Institute of Technology Tambaram India Greater Noida Institute of Technology Goutham Budh Nagara Great Noida India

ISBN: (纸本)9781665495158

Aggressive activity in public spaces is a significant threat to personal safety and social cohesion. Cameras and other security devices have been mounted in various locations for public safety in recent years. Thousands of pieces of equipment are installed in public spaces, putting immense strain on security personnel. To classify incidents, almost all systems today need human review of the images, which is inefficient. Our proposed system is to develop an algorithm which detects violence in a given video frame. It first learns features and then trains on those learned features. It detects violence in given video and if violence is detected in frames, it will send an alert message. YOLOv5algorithmisfoundtobeabletoidentifyapersoninagi venvideo. Alongshort-termmemorynetwork (LSTM) is used to capture long-term dependency in the time domain. © 2022 IEEE.

关键词： Real time systems

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An Intellectual Routing Protocol for Connectivity Aware Cross Layer Based VANETs 6th

An Intellectual Routing Protocol for Connectivity Aware Cros...

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6th International Conference on Innovative Computing and Communication, ICICC 2023

作者： Mansour, Hassnen Shakir Obaid, Ahmed J. Abosinnee, Ali S. Ali, Aqeel Alkhafaji, Mohamed Ayad Abbas, Fatima Hashim Department of Computer Technical Engineering College of Information Technology Imam Ja’afar Al-Sadiq University Al-Muthanna66002 Iraq Faculty of Computer Science and Mathematics University of Kufa Kufa Iraq Altoosi University College Najaf Iraq Department of Medical Instruments Engineering Techniques Al-Farahidi University Baghdad Iraq National University of Science and Technology Nasiriyah64004 Iraq Medical Laboratories Techniques Department Al-Mustaqbal University College Babil Hillah51001 Iraq

ISBN: (纸本)9789819940707

Vehicular ad hoc networks (VANETs) are the newer technology which is used for maximum of the intelligent transmission system (ITS)-based application. Due to the high-speed dynamic nature of VANETs, link failure and data loss can occur during communication between vehicles. Several routing protocols are proposed in VANETs but still constructing the effective routing protocol is still an open research area. In this paper, hybrid routing protocol is recommended, namely cross-layer in connectivity-aware greedy routing protocol (CLCAGRP). This protocol is subdivided into three categories. They are greedy-based routing protocol, connectivity-aware greedy routing protocol (CAGRP), and cross-layer in connectivity-aware greedy routing protocol (CLCAGRP). These methods are mainly used to improve network stability by reducing the connectivity failures and packet loss during transmission. Cross-layer approach is used to find the optimal path between the sources to the destination at the time of data transfer. In order to evaluate the performance of the proposed CLCAGRP, the parameters which are calculated in the simulation evaluation are packet delivery ratio, energy efficiency, network throughput, packet loss, and routing overhead. The results of the proposed CLCAGRP are compared with the earlier research works such as E-GRP and ACO-GRP. The outcome proves that the proposed CLCAGRP achieves (16%) better packet delivery ratio, (15%) better energy efficiency, (600 Kbps) better throughput, (330packets) lower packet loss, (1100 packets) lower overhead when compared with the earlier works. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Vehicular ad hoc networks

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Hybrid Algorithm for Secure Routing in MANET Using Cryptographic Applications

Hybrid Algorithm for Secure Routing in MANET Using Cryptogra...

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Electronic Systems and Intelligent Computing (ICESIC), International Conference on

作者： S. Muruganandam S.Gnanavel K.E.Narayana M.Jaeyalakshmi K Antony Kumar Department of Computer Science and Business Systems Panimalar Engineering College Chennai India Department of Computing Technologies Faculty of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Campus Chengalpattu India Department of Information Technology Rajalakshmi Engineering College Chennai India Department of Computer Science and Engineering Rajalakshmi Engineering College Chennai India Department of Computer Science and Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (数字)9798331522988

ISBN: (纸本)9798331522995

In Mobile sensor Networks, Each and every wireless node dynamically changes its location due to its mobility nature. The routing information is maintained by the master node to deliver a data packet from source to destination. The attackers easily hack this wireless network. The performance of the complete networks is dropped by packets transmission attacks. Attacker node drops the packet. An enhanced protection technique in response to packets transmission misbehaviour attacks is provided to increase the energy efficiency of mobile nodes. This paper proposed the Cryptographic formed Malicious Node Detection and Secure Routing framework (CMNDSR). This model incorporates three various strategies specially algorithm for control of access, to protects initial illegal node in the network. The suspected identification and prevention techniques based on hop count value. Secure routing method with a private key generated at random like one time password (OTP). The proposed methods are power efficient, by operating a minimum number of nodes in challenging environment. The misbehaviour nodes are promptly identified and isolated using this proposed approach. The Cryptographic based Secure routing algorithm is applied to provide secure transmission in wireless networking environment. The outcomes of the simulation display how effectively the recommended approach can identify malicious nodes in a MANET. In comparison with previous methods, the energy consumption is 10% lower and the suspicious node detection rate is increased by 95%.

关键词： Wireless sensor networks Wireless networks Prevention and mitigation Passwords Routing Mobile nodes Cryptography Communication system security Protection Mobile ad hoc networks

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