2023 8th International Conference on Communication and Electronics Systems (ICCES)最新文献_第2页

Performance of Spectrum Sensing in Different Fading Environments for Cognitive Radios 认知无线电在不同衰落环境下的频谱感知性能

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192726

A. Maneesha, Shahana Tanveer, Asst. Professor, B. Kavya, P.Jahnavi

{"title":"Performance of Spectrum Sensing in Different Fading Environments for Cognitive Radios","authors":"A. Maneesha, Shahana Tanveer, Asst. Professor, B. Kavya, P.Jahnavi","doi":"10.1109/ICCES57224.2023.10192726","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192726","url":null,"abstract":"Radio spectrum is a very important natural resource and efficient utilization of spectrum increases the QOS of wireless communication systems. Cognitive Radio Technology plays a very important role for proper usage of spectrum having efficient algorithms for spectrum sensing. This study focuses more on Cooperative spectrum sensing in which decision made by fusing the spectrum sensing result of multiple secondary users in a system. Among the different methods of cooperative spectrum sensing like AND/OR, MRC method shows greater efficiency in spectrum sensing. But, Spectrum sensing is greatly influenced by the wireless channel parameters like path loss, shadowing and fading effects.Spectrum sensing can be done by using Machine Learning algorithms and it shows better spectrum sensing results in different fading environments. This study has performed spectrum sensing in different fading environments like Rayleigh, Rician and Nakagami channels, where the fusion result from all the cooperative secondary nodes is calculated by using Support Vector Machine Algorithm. If the different channel effects are considered, the SVM algorithm gave better results for spectrum sensing. Here, simulations are performed with different training data sizes and the performance is studied for each trial using the linear and Gaussian kernels of SVM algorithm.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129836097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Intelligent Method for Credit Card Fraud Detection using Improved CNN and Extreme Learning Machine 一种基于改进CNN和极限学习机的信用卡欺诈智能检测方法

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192774

Kalva Yamini, V. Anitha, Sanjeeva Polepaka, Rahul Chauhan, Yukti Varshney, Mukesh Singh

{"title":"An Intelligent Method for Credit Card Fraud Detection using Improved CNN and Extreme Learning Machine","authors":"Kalva Yamini, V. Anitha, Sanjeeva Polepaka, Rahul Chauhan, Yukti Varshney, Mukesh Singh","doi":"10.1109/ICCES57224.2023.10192774","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192774","url":null,"abstract":"Credit card fraud has been on the rise in recent years. Criminals are taking advantage of the public by pretending to be legitimate businesses or individuals in order to steal their money. So, it is essential to combat this type of fraud. This research study has developed a novel method for spotting suspicious credit card transactions. The proposed approach may provide most of the necessary information to spot illegal or fraudulent financial transactions. As technology advances at an unprecedented rate, it becomes more difficult to monitor the illegal transactions and money transfers. With the recent developments in machine learning, artificial intelligence, and other critical areas of IT, it is now possible to automate this process and save huge amounts of labor involve in recognizing credit card fraud. After receiving an input image, it is preprocessed and features are retrieved by using principal component analysis, and then the data is used for training the CNN-ELM model. The proposed method achieves a higher accuracy (about 98.7%) than other methods like CNN and ELM.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128803134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Group Shared Mobility Platform Activated via Blockchain 通过区块链激活的集团共享移动平台

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192827

E. K. Subramanian, M. Rajkumar, T. Poovizhi, Saumendra Kumar Mohapatra

{"title":"Group Shared Mobility Platform Activated via Blockchain","authors":"E. K. Subramanian, M. Rajkumar, T. Poovizhi, Saumendra Kumar Mohapatra","doi":"10.1109/ICCES57224.2023.10192827","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192827","url":null,"abstract":"Web sharing is a centralized trust system in order to trust users to establish, track, cancel, fare calculate, etc., the service providers. Any malicious activities performed on a centralized server system or vehicle or riders destroy the fairness of the ride and cause the party discomfort. The drivers are assessed by the riders after the ride has been completed. There can be a malicious driver who can claim reimbursement with a fake complaint and give the driver a poor rating. The current system cannot determine the correctness of both parties' objections and delivers the biased outcome of each objection in accordance with the centralized marketing strategies of the company. In order to ensure fair travel, a workaround that can be blocked is presented. The creation, completion, unrest, or abortion of a ride will be published in the block chain booklet so that the peer-to-peer network is available to all participants. This means that the interconnected credibility structure is managed equally at the same time. In Ethereal secure network as well as the KOVAN test network, that have implemented a prototype, and the analysis is included","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128689042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Comparative Analysis of Open Core Protocol and Advanced Extensible Interface Protocol 开放核心协议与高级可扩展接口协议的设计与比较分析

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192670

S. Sasikala, T. Meeradevi, P. Sivaranjani, th M. Keerthana

{"title":"Design and Comparative Analysis of Open Core Protocol and Advanced Extensible Interface Protocol","authors":"S. Sasikala, T. Meeradevi, P. Sivaranjani, th M. Keerthana","doi":"10.1109/ICCES57224.2023.10192670","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192670","url":null,"abstract":"On today’s platforms, on-chip communication between the peripherals has become of the utmost importance. As the density of the System on Chip (SoC) increases, testing the design becomes harder as it adds up to human errors. Advanced eXtensible Interface (AXI) is the bus architecture of advanced microcontrollers that is widely used for communication between low- and high-bandwidth peripherals. Open Core Protocol (OCP) is also one of the on-chip protocols that establishes transactions with low meta-stability. This work mainly focuses on understanding the communication on a SoC using the AXI and OC protocols. Both the AXI and OCP designs use the three-state model designed using FSM, and the outputs are observed for fixed burst, incremental burst, and wrapping burst in the case of AXI and incremental burst, wrapping burst, exclusive OR burst, streaming burst, and 2-dimensional block burst in the case of the OC protocol. The design and the test bench are simulated, and the simulation waveforms are analysed using the Cadence Xcelium EDA tool. Both protocols are implemented on the Basys 3 FPGA board, and certain parameters like area and time are analysed. It is found that the OC protocol has less metastability with a setup-hold window in the range of 0 ns to 0.3 ns, whereas AXI has a setup-hold window in the range of 4 ns to 4.5 ns. As OCP supports five types of burst transfers and AXI supports three types of burst transfers, which take fewer internal signals, the device utilisation of OCP is increased by 44.4% compared with AXI.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129340830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Compact UWB Patch Antenna for Partial Discharge detection using Dual Rampart Line Structure, Slots and DGS 用于局部放电检测的紧凑UWB贴片天线，采用双屏障线结构，插槽和DGS

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192674

Satyam, Deekshitha Limbakar, Pintu Sah Rauniyar, G. Deepthi, J. Supriya, K. V. Madhavi

引用次数: 0

Machine Learning based Prediction of Parameters that Influence Life on Mars 基于机器学习的影响火星生命的参数预测

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192680

R. Paulraj, Steven Paul, Telkar Sai Gopichand, Subramanyam Morla, Vempalli Raja, Sekhar Raju

{"title":"Machine Learning based Prediction of Parameters that Influence Life on Mars","authors":"R. Paulraj, Steven Paul, Telkar Sai Gopichand, Subramanyam Morla, Vempalli Raja, Sekhar Raju","doi":"10.1109/ICCES57224.2023.10192680","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192680","url":null,"abstract":"One of the world's most challenging scientific and technological problems is weather forecasting, a major application in meteorology. This study analyzes different ways to forecast minimum and maximum temperature, humidity, pressure and wind speed using data mining approaches. Weather forecasting is challenging due to complex meteorological phenomena and a lack of observations and historical data. Many variables in weather events are impossible to count and quantify. As communication methods have progressed, weather forecast expert systems have been able to combine and exchange resources, resulting in the development of a hybrid system. Despite these advancements in weather forecasting, these expert systems cannot be completely dependable because weather forecasting is the primary issue. Weather forecasting is meteorologists attempt to forecast weather conditions in the future and forecast weather situations that may occur. Temperature, wind, humidity, pressure, and data set size all influence the weather condition characteristics. Weather forecasting's purpose is to give knowledge to the people and governments, which they may use to prevent the loss of lives and infrastructure. In the context of this research, it can be utilized to determine whether or not the circumstances on Mars are suitable for human survival.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129072644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Analysis of 4*4-Bit Vedic Multiplier with 32nm CNFET Technology 采用32nm CNFET技术的4*4位Vedic倍频器设计与分析

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192881

Ritik Gupta, Rohit Ghughtyal, Sai Prateek Mahapatra, Sonali Singh

{"title":"Design and Analysis of 4*4-Bit Vedic Multiplier with 32nm CNFET Technology","authors":"Ritik Gupta, Rohit Ghughtyal, Sai Prateek Mahapatra, Sonali Singh","doi":"10.1109/ICCES57224.2023.10192881","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192881","url":null,"abstract":"Carbon Nanotubes Field Effect Transistors (CNFETs) have shown numerous advantages over conventional Metal Oxide Semiconductor FETs (MOSFETs) and CMOS in terms of decreased short channel effect, lower power consumption and high performance. As the transistor channel length shortens to below 10 nm in length, short channel effects, such as drain-induced barrier lowering and velocity saturation, becomes prominent, which negatively impact transistor performance and reliability. As CNFETs do not show scaling issues, CNFETs based digital circuit designs, such as adder and multiplier, can possibly show better results in terms of power consumption and propagation delay. Multiplication operation is a crucial operation whose application ranges from computing convolution to fast fourier transform. Hence, it is important to have an efficient architecture and high-performance multiplier. Array multipliers, Wallace and Booth’s multipliers are some of the existing multipliers. One approach to perform high-performance multiplication is through the Vedic Multiplier, whose algorithm reduces delay and power consumption. Many of the pre-existing Vedic multipliers implementations techniques such as MUX based adder, Carry select adder, Hybrid 13T Full Adder rely on CMOS technology for their implementation which brings the challenges like short channel effect while scaling of CMOS transistors. Because CNFETs do not show scaling issues the performance of Vedic multiplier can be improved using CNFETs. This paper proposes a 4*4-bit Vedic Multiplier using 32nm CNFET Technology. The proposed implementation is simulated using HSPICE simulation tool, CosmosScope (cscope) software and Stanford CNFET Model file. The delay and power consumption parameters are measured for various supply voltages. Moreover, the comparative analysis of the aforementioned parameters has also been done by changing the chirality of the transistors.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123327048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Skin Disease Detection and Recommendation System using Deep Learning and Cloud Computing 基于深度学习和云计算的皮肤病检测与推荐系统

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192759

Nama Deepak Chowdary, Siddhartha Inturu, Jithendra Katta, Chiluka Yashwanth, Naga Sri Harsha Vardhan Kanaparthi, Srinivas Voore

{"title":"Skin Disease Detection and Recommendation System using Deep Learning and Cloud Computing","authors":"Nama Deepak Chowdary, Siddhartha Inturu, Jithendra Katta, Chiluka Yashwanth, Naga Sri Harsha Vardhan Kanaparthi, Srinivas Voore","doi":"10.1109/ICCES57224.2023.10192759","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192759","url":null,"abstract":"The main objective of this research is to develop an application based on Deep learning, Computer vision and cloud computing that detects the different kinds of skin diseases caused by different types of viruses, Bacteria, Fungus and Environment. This study has also developed and integrated a recommendation system, which recommends the medicines and care taking process for a particular disease. The application also suggests preventive methods for different kinds of skin infections. This study used an ensemble of convolution neural networks (CNN) with generative adversarial network (GAN) and Computer vision for construction of the model. Further, Amazon Personalize is used to build recommendation system in the proposed web application. The proposed application detects the disease based on symptoms, pictures, and videos of infected skin area. The application will be helpful for dermatologists and common people to perform early detection and prevention of skin diseases in India. This study also compared the accuracy of ensemble of convolution neural networks (CNN) with GAN and other algorithms like CNN. In comparison of accuracy, this study found that the Ensembles of CNN with GAN give best results for the proposed dataset.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114375665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Swarm Intelligence Decentralized Decision Making In Multi-Agent System 多智能体系统中的群智能分散决策

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192625

Aishwarya Ann Joseph, Gautham S Nambiar, N. Jayapandian

{"title":"Swarm Intelligence Decentralized Decision Making In Multi-Agent System","authors":"Aishwarya Ann Joseph, Gautham S Nambiar, N. Jayapandian","doi":"10.1109/ICCES57224.2023.10192625","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192625","url":null,"abstract":"This research aims to understand how groups of agents can make decisions collectively without relying on a central authority. The research could focus on developing algorithms and models for distributed problem solving, such as consensus-reaching and voting methods, or for coordinating actions among agents in a decentralized manner. The research could also look into the application of these methods in various fields like distributed robotics, swarm intelligence, and multi-agent systems in smart cities and transportation networks. Swarm intelligence in decentralization is an emerging field that combines the principles of swarm intelligence and decentralized systems to design highly adaptive and scalable systems. These systems consist of a large number of autonomous agents that interact with each other and the environment through local communication and adapt their behaviors based on environmental cues. The decentralized nature of these systems makes them highly resilient and efficient, with potential applications in areas such as robotics, optimization, and block chain technology. However, designing algorithms and communication protocols that enable effective interaction among agents without relying on a centralized controller remains a key challenge. This article proposes a model for swarm intelligence in decentralization, including agents, communication, environment, learning, decision-making, and coordination, and presents a block diagram to visualize the key components of the system. The paper concludes by highlighting the potential benefits of swarm intelligence in decentralization and the need for further research in this area.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121482358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Edge Intelligence in IoT: Architecture and Applications 物联网中的边缘智能:架构和应用

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192608

Kajal Jewani, Satheesh Abimannan

引用次数: 0