M. Geetha, S. Ramesh, C. Senthilkumar, P. Nirmala, S. Ahila
{"title":"A Smart LoRa Assisted Accident Prevention Scheme using IoT Technology","authors":"M. Geetha, S. Ramesh, C. Senthilkumar, P. Nirmala, S. Ahila","doi":"10.1109/ICOSEC54921.2022.9952036","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952036","url":null,"abstract":"The number of people who rely on automobiles has skyrocketed in today’s world. Due to a lack of emergency response resources and rising motor traffic, traffic risks and road accidents have escalated, resulting in a large number of casualties and significant property damage. Emergency vehicles like ambulances are unable to get to their destinations in time, causing the loss of human life as a consequence. Technology and architecture have advanced rapidly, making our lives better. Technology has also made roads more vulnerable, leading to an increase in the number of accidents and the loss of lives and property as a result. For this drawback, this project is the perfect solution. For the aim of detecting unsafe driving, an accelerometer may be used in a car warning application. It is often used as an accident or rollover detector of the vehicle during and after an accident. A major accident may be avoided if an accelerometer is used.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116122070","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}
M.S Manusri Rekshana, K. Abirami, A. Manikandan Senthur, A. Rajesh, E.S Shrihari
{"title":"Design of Microwave Dual-Resonating Sensor for Chronic Wound Assessment","authors":"M.S Manusri Rekshana, K. Abirami, A. Manikandan Senthur, A. Rajesh, E.S Shrihari","doi":"10.1109/ICOSEC54921.2022.9952015","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952015","url":null,"abstract":"Wearable microwave resonating sensors have attracted the research community in wireless communication and biomedical systems. The main objective of this paper is to assess the chronic wound such asjoint pain using such type of microwave sensor. The sensor designed to sense the abnormalities in synovial fluid, which is a main component present inside bone’s joint and avoids friction during bone’s movement and is responsible for the pain when it exhibits abnormal properties. The microwave sensor can be worn like a bandage. In this paper, FR-4 substrate is used for effective design of the resonator with high sensitivity and selectivity. For analyzing the fluid, a dual octagonal split ring resonator has been designed for the frequency of 4.611GHz. Various use cases of resonator have been simulated and the corresponding results are obtained and interpreted.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129842613","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":"Comparative Analysis of Different Approaches to Object Detection: A Survey","authors":"Mohammed Sajjad, D. Hemavathi","doi":"10.1109/ICOSEC54921.2022.9952000","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952000","url":null,"abstract":"Object detection has a pivotal role in the field of security. Often, a security breach occurs under cover of night when the visibility is reduced. Manual supervision is relatively difficult as visibility is drastically reduced and human error increases to a large extent. In recent times, automation in security has gained a lot of traction. There are various inventions made in the field of automated surveillance. There are various models to detect objects in a frame with high accuracy accurately. With the help of pre-defined datasets and exclusive object detection models following the concepts of deep learning, an automated surveillance system can be implemented with ease. This study discusses the impact of automated surveillance, both night vision and daytime surveillance, the pros and cons, and the development of automated surveillance models that lead to accurate results. The study mainly focuses on deep learning concepts used to improve object detection.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"114 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128390145","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":"Training Research based on Cloud Computing Mode to Improve the Application of Boxing Middle and Short Range Techniques in Actual Combat","authors":"Yulin Xing, Jinmei Lin","doi":"10.1109/ICOSEC54921.2022.9951927","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9951927","url":null,"abstract":"This paper presents a training research on the application of boxing mid-to-short distance technology in actual combat based on cloud computing mode. Applying the most advanced Internet of Things technology to enterprise energy consumption monitoring, boxing mid- and short-range technology is an important part of boxing technology. Through effective training of mid- and short-range technology for boxing students of Jimei University Sports College, boxing is improved. The application effect of mid-to-short range technology in actual combat provides a reference for boxers to improve their mid-to-short range technology level, and to better use mid-to-close range technology in competitions, which increases the training effect by 6.7%.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129640660","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}
A. Rani, S. Nishanthini, D. Josephine, H. Venugopal, S. Nissi, V. Jacintha
{"title":"Liver Disease Prediction using Semi Supervised based Machine Learning Algorithm","authors":"A. Rani, S. Nishanthini, D. Josephine, H. Venugopal, S. Nissi, V. Jacintha","doi":"10.1109/ICOSEC54921.2022.9952144","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952144","url":null,"abstract":"Recently, liver disease is emerging as one of the most common diseases with high fatality rate. The number of liver affected patients are steadily increasing due to various factors such as excessive alcohol consumption, inhalation of hazardous fumes, eating tainted food, pickles, and narcotics. Liver disease can also lead to a variety of serious illnesses, including liver cancer. To enhance the process of liver disease classification, a semi supervised machine learning algorithm has been presented in this research work. The use of liver patient datasets in the development of classification algorithms to predict liver disease is being investigated. The proposed study employs hybrid SVM and K-Means algorithm-based model to examine the entire patients’ liver disease. Chronic liver disease is defined as a liver ailment that exist for at least six months. As a result, the considered population will be classifiers as liver disease affected and non-affected people. The SVM classifiers are used to determine the number of liver disease affected individuals, and then the hybrid k means clustering method is used to determine how much of the liver has been affected. As a consequence, the output from the proposed hybrid K-Means clustering model reveals high prediction accuracy.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127006661","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":"Analysis of 8 bit vedic multiplier using different full adder techniques","authors":"Soumya G Hosmani, P. Vimala","doi":"10.1109/ICOSEC54921.2022.9951863","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9951863","url":null,"abstract":"A smart processor’s multipliers remain important to the mathematical computing paradigm. Vedic mathematicians created fundamental multiplication algorithms in ancient times. The Urdhva-Tiryyagbhyam Sutra, an effective Vedic multiplier technique based on 45nm technology, was implemented and designed. Given the importance of multipliers in almost all digital system hardware, building them with high speed, low latency, compact space, and low power consumption would result in successful digital system designs. This is done in 45nm technology with the Cadence Virtuoso tool in FinFET technology. Because of its GDI technique, less hardware, and decreased latency, the implemented Multiplier utilises relatively little power.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123619893","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":"Construction of Music Training Intelligent Platform based on Signal Spectrum Collaborative Analysis Algorithm","authors":"Mei Liu","doi":"10.1109/ICOSEC54921.2022.9952040","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952040","url":null,"abstract":"This paper briefly reviews several common distinction theories and their limitations, and goes beyond the category of music itself to analyze the difference between classical music and popular music from the spectrum characteristics of music. As a human-computer interaction interface, the signal projection graph helps analysts visually and interactively identify the number of signals and cluster signal feature data. At the same time, a novel signal flow graph is designed to simultaneously display the multi-feature time-varying characteristics of different radio signals Mode. Optimize the reverse order bit and butterfly operation in the algorithm for the collected audio signal, and then use the optimized algorithm to perform spectrum analysis on audio signals in different formats.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"345 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116316806","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}
A. S. Kamaraja, P. Anitha, K. Karthik Kumar, G. Ramesh Pandi
{"title":"An improved Dual Active Bridge Power Converter for EV batteries","authors":"A. S. Kamaraja, P. Anitha, K. Karthik Kumar, G. Ramesh Pandi","doi":"10.1109/ICOSEC54921.2022.9951950","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9951950","url":null,"abstract":"The dual active bridges Power converter is indeed a versatile power converter that can be utilized inside a variety of uses. Many studies have been conducted to look at such a conversion from various perspectives. In this research, an optimum DAB converter’s structure is given that provides minimal reactive component while also reducing the weights and sizes of the converters inductors, ensuring the Dc converters step of electric car drive systems. To meet this need while minimizing the converter’s reactive element (circulating current or conduction inefficiencies), dual modes of operation were taken into account: an optimum extended phase shift (EPS) modulations and an ideal triangle phase shifting (TrgPS) modulator. A trajectory tracking controllers are used to control the functioning of the DAB conversion in both states. The DAB converter’s performance with such an application is ideal while running beneath efficient (TrgPS) modulating technique, according to simulated data reported in the study utilizing MATLAB Simulink. It addresses several other difficulties, including such transitory load oscillation and source voltage disruption impacts, and designed for ease of controlling, in addition to the standard characteristics.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"52 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116325707","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":"Efficient Search in Cloud Storage with Reduced Computational Cost using Token Generation Method over Crypto Hash Algorithm","authors":"M. Hussain, V. Karthick","doi":"10.1109/ICOSEC54921.2022.9952137","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9952137","url":null,"abstract":"To deduce computational cost using a token generation method comparing Crypto hash algorithms in cloud storage. Materials & methodology: In this proficiency, all the collections are transferred by encryption format in video mode and data are collected by user with face detection video mode. User in turn accepts which is requested by face detection video mode. Study contains two groups with N=10 for each group. Accurateness of individual methods arelikened for various sample sizes with G power value as 0.8. Results: Homomorphic algorithm provides 1.2 times higher compared to token generation Technique for several datasets. Results were attained with the statistical significance of two algorithms: sig (2-tailed) p-value observed is 0.0001 (p<0.05) in the independent sample t test. Conclusion: Moreover, concrete schemes are cost-efficient and proved to be more secured in the standard model. Comparison and framework simulation proves that this strategy has very good performance superior to other strategies.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126540386","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}
Aarush Gupta, Akhil Chawla, K. S. Shushrutha, Mohana
{"title":"Intelligent Information Retrieval: Handling Variability in Document Structure","authors":"Aarush Gupta, Akhil Chawla, K. S. Shushrutha, Mohana","doi":"10.1109/ICOSEC54921.2022.9951912","DOIUrl":"https://doi.org/10.1109/ICOSEC54921.2022.9951912","url":null,"abstract":"Every corporation’s day-to-day activities entail dealing with a vast array of diverse data formats, such as work orders, techno’s, maintenance papers, and so on, many of which are selectable or scanned PDFs. These tasks demand several hours of human labor to extract the necessary data from these papers for further processing, and analysis incurring significant financial toll to these corporations. As a result, there is enormous potential for the creation of a digital solution that enables sophisticated OCR implementation, leading to the automation of the entire information extraction process. This paper provides a thorough examination of information extraction process focusing to deliver a high-quality complete functional solution and suggests a solution that incorporates critical preprocessing required for accurate information extraction and makes use of the capabilities of Faster R-CNN for document layout analysis as well as a range of approaches for efficient data extraction depending on data type. The multistage document analysis and information extraction tool also provides options for template definition enabling their reusability for batch processing large amounts of unstructured data.","PeriodicalId":221953,"journal":{"name":"2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125494353","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}