2021 International Conference on System, Computation, Automation and Networking (ICSCAN)最新文献

{"title":"Smart Eco-friendly Wellness Monitor for New Normal","authors":"Satheeesh Kumar S, Shiyam Prasad S, Duraiselvi M, Vinith Kumar S","doi":"10.1109/ICSCAN53069.2021.9526433","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526433","url":null,"abstract":"The language of a 'new normal' is being deployed almost as a way to quell any uncertainty ushered in by the coronavirus. With no cure in sight, everyone has perpetuated this rhetoric as they imagine settling into life under this 'new normal'. As states begin to adjust living with the dreadful virus, people have started spending more time indoors. In work places/school/industries, the continuous monitoring of the temperature of an individual and ensuring the inhaling air quality of the environment will help us to assure wellness of any individual. The eco-friendly wellness monitor has a wide range of commercial viability as the setup can be employed in institutions, commercial spaces, hospitals, airports, etc., owing to the greater advantage it provides. The monitor simultaneously displays the temperature and helps maintain a clean sanitized environment automatically. The need for an individual's attention is also reduced. For a fearless new normal this eco-friendly monitor would be the apt solution which has a lot of scopes as it can be employed anywhere and everywhere having a greater commercial benefit. This paper finds scope in various platforms such as Hospital waiting rooms, Ticket counters, Malls and other wide crowd gathering areas which gradually enhances the early detection of any new fevers. This decentralized scanning architecture is much useful for authentic monitoring which will enhance the reliability of future health monitoring systems and felicitates engineering in new normal","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"285 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122164316","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":"Deep CNN Supported Recognition of Ship Using SAR Images in Maritime Environment","authors":"K. Hemanth Sai, A. B. Bazil Raj","doi":"10.1109/ICSCAN53069.2021.9526447","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526447","url":null,"abstract":"In this paper, we have proposed a method to recognize the ship using Synthetic Aperture Radar(SAR) images. The ability of SAR to form radar images independent of any weather conditions and with large swath width made this monitoring technique very well suited for maritime surveillance. The dataset used for the recognition of ships using SAR images consists of three classes for classification. We have used a Deep Convolution Neural Network(CNN) for the recognition of ships from SAR images. The network is trained rigorously and after testing the sample data with a well-trained network we achieved an accuracy of 90 percent.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122365160","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":"De-noising The Image Using Non Local Means Filtering","authors":"S. Ganesan, K. Dhanasekaran, N. Nishavithri","doi":"10.1109/ICSCAN53069.2021.9526528","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526528","url":null,"abstract":"Because of the outstanding headway of data innovation, PC, capacity frameworks and systems administration innovation, clinical gadgets and clinical conclusion has gained huge prominence over the most recent twenty years. For the most part in clinical field including biomedical science, the impact of such advances is getting evident, permitting the discovery and determination in a significantly more striking manner. The critical obstacle in the indicative imaging study is to choose a picture with no significant subtleties being lost. All things considered, over the span of recovery or again resulting preparing stages, the information caught can be misshaped by commotions or curios. Clamor is characterized as the underlying pixel esteem being changed aimlessly. Commotion brings down the lucidity of the picture which is especially significant at whatever point the constructions are checked is more modest and indeed, even has relatively helpless force. De-noising of picture information is in this manner significant, and in clinical diagnostics it has consistently been an important pre-preparing level. An investigation of a few critical investigates in the field of picture de-noising is examined in this article. Since pictures were very fundamental in any space, picture de-noising is for sure a significant preprocess earlier towards more picture investigation, such as division, extraction of highlights, surface investigation, and so forth This examination proposed to play out the far reaching investigation of different de-noising systems for clinical imaging that includes MRI, CT and Retinal fundus pictures. An examination concentrate with many existing strategies approaches zeroed in on similarity tests, uncovers that the proposed approach is better in picture consistency than them.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126291755","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 Train Accident Detection And Prevention System Using Iot Technology","authors":"R. Lakshmi Devi, G. Saravanan, K. Sangeetha, S. Pavithra, S. Thiyagarajan","doi":"10.1109/ICSCAN53069.2021.9526413","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526413","url":null,"abstract":"The point of this paper is to plan and foster a finger impression based train motor getting to framework with a perspective on lessening manual working and to avert unauthorised users. As of late, train commandeer has been on the increment as equipped burglars center around taking vehicles, particularly the pristine ones. This is accomplished with the utilization of a finger impression module, ATMega328P microcontroller and Liquid Crystal Display (LCD) module. Correspondence based train control (CBTC) [8] is a control mechanism which use bidirectional train–ground to operate the trains in a safer manner. Since there is problem in controlling the train via remote operation and its transportability, wireless networks can be incorporated to manage the execution of train control system.For that we used ESP2866 wifi module which is used for uploading the train engine drivers database into the server. However we can avoid this collision and prevent the train from accident by utilizing the impact identification innovation which can be made by ultrasonic sound. This technology is used to detect the obstacle and it gradually slow down the speed of the train by applying the air brake to stop the train before the mishap occurs.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126438383","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":"An Extensive Web Security Through Cloud Based Double Layer Password Encryption (DLPE) Algorithm for Secured Management Systems","authors":"K. Loganathan, D. Saranya","doi":"10.1109/ICSCAN53069.2021.9526381","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526381","url":null,"abstract":"Nowadays , cloud -based technology has been enlarged depends on the human necessities in the world. A lot of technologies is discovered that serve the people in different ways of cloud -based security and best resource allocation. Cloud-based technology is the essential factor to the resources like hardware, software for effective resource utilization . The securing applications enabled security mechanism enables the vital role for cloud -based web security through the secured password. The violation of data by the unauthorized access of users concerns many web developers and application owners . Web security enables the cloud-based password management system that illustrates the data storage and the web passwords access through the \"Cloud framework\". Web security, End-to-end passwords , and all the browser -based passwords could belong to the analysis of web security . The aim is to enhance system security. Thus, sensitive data are sustained with security and privacy . In this paper , the proposed Password Management via cloud-based web security gets to attain . An efficient Double Layer Password Encryption (DLPE ) algorithm to enable the secured password management system . Text -based passwords continue to be the most popular method of online user identification . They safeguard internet accounts with important assets against harmful attempts on passwords. The security of passwords is dependent on the development of strong passwords and keeping them from being stolen by intruders . The proposed DLPE algorithm perceived the double - layer encryption system as an effective security concern. When the data user accesses the user Login , the OTP generates via mail /SMS , and the original message is encrypted using public key generation. Then the text of data gets doubly encrypted through the cloud framework . The private key is used to decipher the cipher text . If the OTP gets matched , the text is to be decrypted over the text data . When double encryption happens , the detection of data flaws, malicious attacks , application hackers gets reduced and the strong password enabled double-layer encryption attained the secured data access without any malicious attackers . The data integrity , confidentiality enabled password management . The ability to manage a distributed systems policy like the Double Layer Password encryption technique enables password verification for the data used to highly secure the data or information.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129197882","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":"Towards A Privacy-Preserving Voting System Through Blockchain Technologies","authors":"D. Mohanapriya, G. Devadharshini, S. Divya, J. Rajalatchumy","doi":"10.1109/ICSCAN53069.2021.9526542","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526542","url":null,"abstract":"The electing framework or casting a ballot framework is the arrangement of decides that decide how decisions and political race decision are directed in the method of the outcomes that must be resolved. Political race plays an essential occasion during a cutting edge popular government yet huge areas of society all throughout the planet don't confide in a political decision framework, which would be a significant worry for the majority rules system. Besides the world's biggest majority rule governments like India, the US Japan actually experience the ill effects of misrepresentation casting a ballot framework. Political race control, polling form gear and hacking of electronic democratic machine are the fundamental issues inside the current democratic framework. Building and electronic democratic framework that fulfills the lawful necessities of gathering has been a tested for quite a while. The disseminated record innovation is an energizing mechanical in this innovative world. These blockchain advancements offers an endless scope of utilizations taking benefits of sharing political economy. In this paper , the proposed framework is to store the voting form data as a blockhub for every single elector and move the citizens vote to all or some other ''hub''. Our proposed framework is cost productive in contrast with the typical electronic democratic machines.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128073861","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":"Electrical Load Forecasting using Machine Learning","authors":"Shripad G. Desai, Tanmay Dalal, S. Kadam, Sudhanshu Mishra","doi":"10.1109/ICSCAN53069.2021.9526444","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526444","url":null,"abstract":"Short-term predictive analysis on electrical load is of utmost importance to the utility company. Load forecasting plays a key role in effective energy planning as well as managing finances. Although machine learning models are already tested for predictive analysis, this paper has employed a newly developed forecasting model known as ‘Prophet’ developed by the IT major Facebook Inc. Owing to lack of research using this model, this paper predicts electrical load consumption based on several factors viz. Time, Temperature, Humidity, and Weather forecast. This model gives an approximate assumption and thus used for predictive modeling.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"137 6‐8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120836214","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":"Deep Learning Techniques to Detect Crop Disease and Nutrient Deficiency -A Survey","authors":"M. Sowmiya, S. Krishnaveni","doi":"10.1109/ICSCAN53069.2021.9526442","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526442","url":null,"abstract":"Agriculture forms the root of the Indian economy on which the industrial and service sectors thrive. Plant diseases cause a significant decrease in the quality and quantity of agricultural products. Early identification of disease symptoms and accurate classification of plant diseases are two critical factors in the agricultural production. Traditional methods which consist of existing image processing techniques and machine learning techniques like SVM, Random Forest algorithms which were primarily used for disease detection and classification are replaced by deep learning techniques due to inefficient detection and inaccurate classification. This paper mainly focuses on classification of plant diseases by different Deep Learning (DL) architectures adopted for tracing and classifying plant diseases with higher accuracy. This study also discusses and lists the merits and demerits of various Deep Learning architectures based on classification accuracy.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124479413","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":"An Energy Efficient Squirrel Search Algorithm For Cognitive Wireless Sensor Networks","authors":"S. Kalpana, A. Deepika, R. Arthi","doi":"10.1109/ICSCAN53069.2021.9526368","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526368","url":null,"abstract":"Sensor nodes with minimal energy make up the bulk of cognitive wireless sensor networks. Head-set routing protocols are critical for reducing energy consumption in cognitive wireless sensor networks. The IEE-LEACH (improved energy efficient low energy adaptive clustering hierarchy) has a protocol architecture adapted to CWSNs. The IEE-LEACH protocol, on the other hand, will increase the network's energy consumption if the distribution of cluster heads (CHs) in the circulation process is ignored. In this paper, an alternate routing protocol to increase the CWSN's energy efficiency. The residual node energy and the average energy of the networks are taken into account by the newly proposed improved Squirrel search algorithm .If the cluster head(CH) is in died condition, the neighbor node can replace as the cluster head to the whole CWSNs . To increase the energy efficiency of the networks, the proposed algorithm uses a new threshold for electing CHs among the sensor nodes .The simulation results show that the proposed algorithm greatly improves throughput as compared to some current routing protocols.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"35 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122512771","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":"Energy Efficient Based Optimized Renewable Energy Systems (ORES) Using QPSO Technique for Normalized Cost of Energy (NCE)","authors":"V. Pushpabala, C. ChristoberAsirRajan","doi":"10.1109/ICSCAN53069.2021.9526488","DOIUrl":"https://doi.org/10.1109/ICSCAN53069.2021.9526488","url":null,"abstract":"Numbers and charts of the world renewable energy agency and the International Energy Agency have lately shown that renewable energy sources (RES) have exceeded natural gas and have taken second place as a power source. The intermittent nature of RES, however, causes a large triple-dimensional problem: system costs, environmental impacts and system reliability. Studies have shown that various RES integrated into Optimized Renewable Energy Systems (ORES) may effectively manage these problems by applying appropriate optimization methods. This article provides a technique for optimising electricity produced by an example of the need for loads as the load of typical buildings to meet an ORES. Quantum Particle Swarm Optimization Technique (QPSO) is used as an algorithm to search for optimisation because of its advantages compared with other methods to reduce the standardised costs of energy, between production and demand taking account of losses;defined the problem and introduce the objective function with fitness in mind. The structure of the algorithm was created with MATLAB software.","PeriodicalId":393569,"journal":{"name":"2021 International Conference on System, Computation, Automation and Networking (ICSCAN)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115257387","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}