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

{"title":"IoT-Enabled Smart Applications and Challenges","authors":"Prathyusha M R, B. Bhowmik","doi":"10.1109/ICCES57224.2023.10192597","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192597","url":null,"abstract":"Significant advances in the development of information and communication technology lead to collaborating computational entities into cyber-physical systems (CPS). A CPS serves as the foundation for many latest technology, e.g., the internet of things (IoT). Both IoT and CPS technologies provide several advantages that make our daily lives more simple and smart. These technologies are employed for a wide range of smart applications like smart city, smart home, smart transport, smart healthcare, etc., that can improve business, security, and health-related experiences. This paper primarily explores various IoT-enabled smart applications and examines their necessity, characteristics, and related issues. The paper also highlights various challenges of these smart applications followed by the state-of-the-art to address them. Each smart application promotes a sustainable, healthier, and comfortable life, including their future in the smart world.","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":"125383239","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}

{"title":"Machine Learning Algorithm Comparison for Traffic Signal: A Design Approach","authors":"Saloni Deshmukh, Prof N.A.Chavhan, Aishwarya Parwekar, Rahul Agrawal, Bhagyashri Danej, Chetan Dhule","doi":"10.1109/ICCES57224.2023.10192748","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192748","url":null,"abstract":"The number of vehicles is increasing significantly every day, especially in major cities. To control traffic flow on extensive road networks and facilitate crossing traffic flow on extensive road networks and facilitate crossing crossings, intersection n traffic signal coordination is required. It is therefore a new technology in the present world for intelligent traffic control and administration systems due to the number of vehicles with so many communication restrictions in arrays. The traffic signal strives to boost the effectiveness of transportation networks, increase safety, and reduce congestion. Technological advances enable better monitoring and management of traffic flow, and traffic signal design and operation are continually developing. The employment of some algorithms for traffic light control has improved the intelligence of traffic light controllers. This research study has developed data instruction strategies using data mining and image processing techniques. By comparing the analysis of several machine learning algorithms for predicting traffic flow and patterns, such as KNN, SVM, DNN, and Random Forest, the accuracy can be increased by lowering the overfitting.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"154 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":"126203366","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}

{"title":"Channel Estimation for Secure OFDM System using Adaptive Cyclic Prefix Selection","authors":"S. S, S. P, Praveen H S, Prashanth Kumar R","doi":"10.1109/ICCES57224.2023.10192768","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192768","url":null,"abstract":"In order to generate blocks, Orthogonal Frequency Division Multiplexing (OFDM) uses a variety of guard intervals, including Cyclic Prefix (CP), Zero Padding (ZP), Unique Word (UW) and Known Symbol Padding (KSP). CP varies depending on the block. These guard intervals allow channel estimation, synchronization and the removal of Interblock Interference (IBI) efficiently than the ZP, UW and the KSP. In this work, the adaptive cyclic prefix based on OFDM wireless channel randomness is suggested for OFDM to fulfil the user demands, which has the ability to supply digital information in an effective and conventional methods. It is possible to minimize peak to average power ratio (PAPR) by utilizing idle subcarriers Fast Fourier Transform/ Inverse Fast Fourier Transform (FFT/IFFT) operation, due to the linearity of Inverse Fast Fourier transform in the OFDM system as well as the mismatch between subcarriers as well as Fourier points. OFDM is proposed in this work, owing to its capability of high-rate data transmission with effective bandwidth utilization and immunity to frequency selective fading channels. As a results, the proposed technique is evaluated using MATLAB simulation and the proposed methodology attains low Bit Error Rate (BER) when compared to the existing methods.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"29 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":"115983504","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}

{"title":"Enhanced Optimization-based Node Localization Scheme for WSN","authors":"M. Senthil Murugan, P. Ravindranath, K. S. Jayareka, T. Sundareswaran, Charanjeet Singh, Arunmurugan Subbaiyan","doi":"10.1109/ICCES57224.2023.10192857","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192857","url":null,"abstract":"The location of a sensor node is crucial for several uses of WSN, including environmental sensing, search and rescue, geographical routing and tracking, and so on. The accuracy with which individual sensor terminals in a wireless sensor system can be located has a substantial bearing on the network's overall effectiveness. Using information about the locations of anchor nodes gathered from a variety of measures to pinpoint the unknown target nodes' placements is known as localization. This is a problem classed as NP-hard, which means it cannot be solved using classical deterministic methods. To overcome this difficulty in wireless sensor networks, presented an enhanced version of a swarm intelligence technique called the whale optimization method. This implementation, using a quasi-reflected-based learning method, fixes the problems with the original whale optimization approach. In order to ensure that the proposed metaheuristic performs as well as existing state-of-the-art metaheuristics, it is evaluated using the same network architecture and experimental settings. Proposed method use a Gaussian-modified RSSI to achieve a more accurate reading of the range and a new whale optimization algorithm to optimize the positioning of the nodes to boost the positioning accuracy, both of which are designed to compensate for the shortcomings of the positioning algorithm of both Received signal strength indicator (RSSI) ranging model. Based on the results of 20 separate benchmark function tests, the upgraded whale algorithm outperforms the whale optimization method and other swarm intelligence systems. The suggested location algorithm provides more precise placement than the original RSSI method. It is mentioned that the cluster intelligence algorithm has significant benefits over the currently implemented RSSI in positioning WSN nodes, and the improved algorithm that is described in this work has even more benefits compared to various cluster intelligence methods in tends to work the locating needs of real-world applications. The developed approach, as shown by simulation results, achieves better localization accuracy than the baseline whale optimization technique and other leading metaheuristics.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"234 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":"120948338","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}

{"title":"Cardiovascular Disease Prediction using ML Techniques to Find the Best Accurate Model","authors":"R. Reddy, Shwetanjali Kumari, P. Sardarmaran","doi":"10.1109/ICCES57224.2023.10192593","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192593","url":null,"abstract":"Heart disease and cardiovascular disease are both illnesses that damage the heart. Correct functioning of the heart is very important for physical health. There are numerous types of cardio disease includes myocardial ischemia, cardiac arrest, congenital heart disease, myocardial infarction, peripheral heart disease, coronary heart disease, HCD. These types of diseases can be life threatening. It has been diagnosed that men experience more HCD compared to women. Also, it has been said that men diagnosed quick heart attacks than in women. It is the need to be early diagnosis of these diseases more efficiently and accurately. The goal of the study is to create and evaluate several ML algorithms for reliably predicting if a patient will have a cardiovascular ailment. The primary contribution is the evaluation of three well-known ML algorithms, namely Random Forest, Naive Bayes and Support Vector Machines, for predicting cardiovascular disease. When compared with all the results of various algorithms, Random Forest has the highest accuracy (97.94%).","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":"120953511","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}

{"title":"Review of Cardiovascular Diseases: Causes and Future","authors":"Manu Midha, Sanjay Singla, Sandeep Kang","doi":"10.1109/icces57224.2023.10192603","DOIUrl":"https://doi.org/10.1109/icces57224.2023.10192603","url":null,"abstract":"Cardiovascular disease has become one of prominent concern in relation to the health aspects being the largest individual reason for mortality around the world, not just CVD, but its symptoms too may degrade the health at a high level and may become fatal for a person. CVD isn’t one problem, rather a pack of a few hazardous injuries as well as diseases affecting the vascular system (system of human heart and blood circulatory vessels). These are the primary factors and at the same time, internal diseases of the body or the blood vessels of the middle and brain. In general, the major concerns related to such issues have been recorded in the lateral life, when they cross the age of thirty till, they turn forty-four, although in the primary stages, by the age of thirty-five, most people who’ll ever get CVD, might have been already got to its first stage or to develop the first set of signs of this disease. Typologies of disease as mentioned, CVD is a group of diseases affecting the system. In this paper, emphasis has been laid on the various cardiovascular diseases along with the geographical data in relation to the spread across the world.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"10 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":"128036491","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}

{"title":"Environment Sound Recognition Systems-A Case Study","authors":"Jayashree Nair, Rizwana Kallooravi Thandil, Gouri S, Praveena Ps","doi":"10.1109/ICCES57224.2023.10192698","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192698","url":null,"abstract":"There are various sounds in the environment, which are produced by multiple sources such as birds, animals, machinery, etc. An Environment sound recognition system (ESRS) detects and categorizes these environmental sounds. ESRS plays a major role in different applications with sound processing such as noise removal, IoT-based systems for sound monitoring, etc. The paper presents simple ESRS models trained on an existing standard environmental sound dataset, freely accessible via the Freesound project. This dataset contains 250000 unlabeled auditory extracts and 2000 short clips representing 50 different basic sound events. Various feature extraction techniques are applied to sound data; the extracted features are then represented using various vectorization techniques so that they can be incorporated into the models. ESRS models are built based on standard Machine Learning(ML) algorithms. Following that, these models are evaluated, tested, and compared.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"8 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":"133766982","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}

{"title":"Implementation of Constant Switching Frequency Hysteresis based Current Control of Solar PV Inverter","authors":"A. Mohan, B. M. Jos, Sreena Sreekumar, H. T.","doi":"10.1109/ICCES57224.2023.10192715","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192715","url":null,"abstract":"A steady progression towards low carbon, clean energy technologies strengthens the worldwide power sector. The increasing proportion of these alternative energy sources in the world’s energy mix is accelerated by the aggressive renewable energy objectives established by various nations. The urgency of alternative options, like Solar PV, which is elevated to the pioneering renewable technologies over the decade. As a stable power electronic interface for solar PV system, inverter control requires more focused research for reliable power conversion. This research introduces a novel technique for inverter hysteresis current control at constant switching frequency. Power quality is guaranteed in this new method and this advanced control can deliver high-quality electricity to the utility grid. Through the use of this novel strategy, power conversion can be as efficient as feasible. This current control method features a quick response time and great current tracking precision. This study also involves a comparison with the existing current level PWM control approach. In order to produce quality output, this strategy has reduced total harmonic distortion and a high power factor. Effectiveness of the suggested inverter control is demonstrated by utilising the MATLAB/Simulink toolbox.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"93 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":"133902140","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}

{"title":"Smart Crop Protection from Animals in Real Time using Convolutional Neural Networks","authors":"Mohan Chandu Kamani, Likith Saidhar, Reddy Jampana, Manoranjan Kumar, V. Deepthi","doi":"10.1109/ICCES57224.2023.10192610","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192610","url":null,"abstract":"Crop damage caused by animals such as birds, and wild animals is a significant challenge for farmers worldwide. Traditional methods such as fences, chemical repellents, and scarecrows are often ineffective and can harm the environment and non-target species. To address this challenge, this paper proposes a real-time crop protection system using the most recent object detection technology algorithm, YOLOv7, to address the challenge of crop damage caused by animals such as birds and wild animals. Traditional methods such as fences, chemical repellents, and scarecrows are often ineffective and can cause harm to the environment and non-target species. The suggested project employs a camera to record a live video feed of an agricultural field., which is processed in real-time using YOLOv7 to identify and track animals that are likely to cause damage to crops. The system triggers appropriate actions such as sounding alarms, activating sprinklers, to scare away the animals. This real-time approach can help prevent crop damage and reduce the use of harmful pesticides and other deterrents. The proposed system offers a reliable, cost-effective, and eco-friendly solution to crop protection from animal damage and can be deployed in different crop fields with minimum customization. The proposed system can help farmers to reduce crop damage and improve crop yields, thus contributing to global food security.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"45 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":"134357958","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}

{"title":"Design and Implementation of Motile Surveillance System for Prisons in India","authors":"Anshul Surana, Swagat Kulkarni, S. Bhatlawande","doi":"10.1109/ICCES57224.2023.10192882","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192882","url":null,"abstract":"Recent technological advancements have led to people using automation extensively in different fields of work such as business, management, administration, law enforcement, etc. Incorporation of robotics in the field of law enforcement ensures a safe and smart environment for regulating bodies. Multiple statistical records of prisons in India clearly show safety risk for officers on surveillance duty and hence the need to develop a model to cater to this problem arises. An optimistic solution to this problem is to develop a model which can monitor prisons, is user friendly and can be dynamically controlled. This paper discusses an automated surveillance system designed to keep a watch on prisoners and has the capability to mark their attendance through streaming portal. The model has a 74% working efficiency and the run-time is approximately 4 hours. The prototype features visual capturing, effective communication between machine and operator, transfer of visuals and exchange of data and commands using camera, screens, image processing and various protocols such as TCP and FTP. Thus, the model is not only efficient but also has all features that an optimistic solution should have.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"52 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":"115634230","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}