2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)最新文献

{"title":"Survey on Face Recognition using an Improved VGGNET Convolutional Neural Network","authors":"K. Nuthan, B. V. Santhosh Krishna, R. Gound","doi":"10.1109/ICSCSS57650.2023.10169193","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169193","url":null,"abstract":"Many well-known convolutional neural networks are now based on huge training samples and super computers. It makes lot of issue to overcome this, so this research study develops a deep learning algorithm in VGGNET for Figure classifying and put forward a person’s face to recognition system that called Micro Face. Micro Face employs the CASIA Web Face storage for testing and training samples. This study describes that, when differentiate to the initial algorithm, the upgrade algorithm brings down the parameters, and make that image visible in improving the pooling function, and it would increase the more number of convolution networks for the kernels, which not only decrease the weakness on huge training samples and super computers, it can also carry off 96% identification rate with acceptable identification on performance to achieve and determined value.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122967790","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":"E-Commerce using Geo-Navigation","authors":"Samiksha Shankar Rawool, Yuga Ganesh Vasaikar, Neha Vijaykumar, Swati Varma","doi":"10.1109/ICSCSS57650.2023.10169321","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169321","url":null,"abstract":"In the internet era, e-commerce is booming, exceeding the growth of brick and mortar businesses by a significant margin. Businesses are deciding to have an electronic commerce or Android-based counterpart. Individuals in the developed world and an increasing number of individuals in the developing world now frequently utilise ecommerce applications to make daily purchases. Even still, there is much to be desired, and e-commerce has not significantly taken off in the developing world. It involves the planning process, which starts with creating the database, domain modelling, and an architecture pattern for an Android application. This article describes the features of an e-commerce application with integrated GeoNavigation for the best way to address the difficulties associated with offline buying.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125230148","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":"A Smart Wheelchair with B-Type Oxygen Cylinder Holders for COPD Patients","authors":"M. Suganyadevi, M. Bhavadharini, R. Abirami, K. Amirthalakshmi, X. Carolin Mary","doi":"10.1109/ICSCSS57650.2023.10169772","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169772","url":null,"abstract":"The main cause of the medical problems caused by a treatment and mortality across the world is chronic obstructive pulmonary disease (COPD), a problem related to lung ailment that lasts for a long time and makes it difficult for the patient to breathe and do regular activities like normal people. The World Health organisation (WHO) calculates that 65 million individuals worldwide have medium to high level severe COPD. More over 3 million people in the world died because of COPD in 2005, making it upto 5% of all global fatalities. It is anticipated to surpass smoking as the third-leading cause of death by 2030. In India, it was estimated that in 2005, NCDs were responsible for 53% of all fatalities and 44% of lost disability-adjusted life years (DALYs). These long-term respiratory illnesses were responsible for 3% of lose and 7% of deaths. There are 30 million COPD patients in India alone, according to rough estimates. India is predicted to have one of the highest numbers of COPD death rates in the world, with more than 64.7 estimated age-standardized death rates per 100,000 people, including both genders. In this condition of COPD the patients need an external oxygen supply and in severe cases, they can’t move without a wheelchair. So they always need the help of two people, one to carry an oxygen cylinder trolley and another to move the wheelchair. The existing models have many disadvantages such as single featured, costlier (minimum 50k) and less efficient hardware models. The proposed solution is to build a smart wheelchair that has two oxygen cylinder holders on both sides of the armrest (one on the left another on right) in the wheelchair. If one cylinder empties, the person can switch to another easily, and also the wheelchair will be balanced. The wheelchair is designed in such a way that it can be converted into a bed (multi-purpose: wheelchair cum bed) using a link mechanism. The wheelchair is powered with a battery (lead acid) source and it can move automatically by taking input from the user through the joystick. It has a sound alarm to indicate others as the patients wore oxygen supply masks and they can’t talk. It also has a detachable toilet bin facility to make sure that the person is not forced to get up from the wheelchair for any purpose. The proposed wheelchair has five features. They are automatic mobility, bed to wheelchair and vice versa transformation, detachable toilet bin holder, emergency sound alarm, two oxygen cylinder holders. The main motto of the study is to make sure that the COPD patients can live their dream life which is to live independently.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"191 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134233164","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":"Age and Gender Prediction using Gated Residual Attention Network","authors":"Muppalla Jhansi, K. D. Sri, K. H. Chowdary, Mundru Adithya Kumar, Ch. Aparna","doi":"10.1109/ICSCSS57650.2023.10169205","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169205","url":null,"abstract":"While a great deal of researchers has addressed the challenge of determining the age and sex from face images, these have received significantly fewer spotlights than some other challenges that are particularly linked with face recognition. Relatively to certain other face recognition concerns, the level of performance in this area has not increased significantly. Despite the progress made in age and gender prediction, several challenges like Facial variability, Data bias persist. Each language around the world includes its own lexicons and grammar standards which are aimed at helping individuals of various generations to interact. The decision to adopt is dependent upon the human capability to quickly identify specific characteristics like age and gender from the individual external appearance. This study assumed that AI technologies become even more widespread in variety of sectors and its decision-making abilities might mimic human mind. Besides, this study has created a GRA NET computational intelligence algorithm to Figure out the person’s age and sex.The residual attention network has already been improved and enhanced as well as the infrastructure now encompasses the principle of gate. Age forecasting is a regression issue whereas gender identity is a binary classification issue. Investigations have been done on the publicly available UTK Face dataset. The results obtained have already shown their importance with respect to both gender and age classification, it serves as a strong factor when compared to other cutting edge technologies.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132019777","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":"Exploring the Impact of Edge Intelligence and IoT on Healthcare: A Comprehensive Survey","authors":"R. Punugoti, V. Dutt, Abhineet Anand, Neha Bhati","doi":"10.1109/ICSCSS57650.2023.10169733","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169733","url":null,"abstract":"The Internet of Things (IoT) will disrupt medicine the most. Healthcare uses edge computing, deep learning, IoT, and machine learning for real-time analytics, monitoring, and data analysis. This research will evaluate, expand, overcome difficulties, and improve IoT-based healthcare systems. The article explores healthcare IoT and edge computing’s benefits and drawbacks. Edge computing can improve healthcare delivery, cost, and results, according to the authors. Researchers offer wearable sensors, smart health gateways, early warning score health monitoring, and artificial intelligence case studies. The authors evaluate edge computing’s enabling technologies, applications, and obstacles in healthcare and provide solutions. Existing research lack solid empirical evaluation, hyper-specialization in one healthcare field, and inadequate study of hurdles and difficulties. This research also includes various IoT services, utilization rate graphs, major drivers driving edge-IoT operations graph, IoT adoption graph, and recent Medicare technologies diagram.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134065389","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 Effective Framework for Detecting Epileptic Seizures using CNN and Encrypted EEG Signals","authors":"G. Pradeep, S. Bala, N. P. Satheesh, M. Mahalakshmi, K. Balasamy, S. Suganyadevi","doi":"10.1109/ICSCSS57650.2023.10169196","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169196","url":null,"abstract":"Electroencephalogram (EEG) signals may be used to autonomously diagnose epilepsy, eliminating the requirement for a medical professional’s involvement in the process. A good classification performance is really necessary if you do not want to pass up any possible discoveries. In this piece of research, the authors offer a technique for the automated identification of epilepsy using EEG waves. In order to extract features, the raw EEG signals were first put through a discrete Fourier transform, also known as a DFT, as well as a discrete wavelet transform (DWT). Therefore, researchers have been exploring different methods to improve the accuracy of EEG signal analysis. One such method proposed in this study is the Wavelet Transform based Fourier-Bessel series expansion (WT - FBSE) method. This method utilizes the WT - FBSE spectrum to segment multiple frame-size time-segmented EEG signals using the scale-space boundary detection method. The WT - FBSE technique decomposes the EEG signals into narrow sub-band signals, which are then used to extract various features such as log-energy-entropy (LEnt), line-length (LL), and norm-entropy (NEnt) from different frequency ranges. In order to choose the features that are most important, the relief-F feature ranking approach is applied. This helps to limit the amount of computing work that is required by the models. The study evaluates two time-segmentation approaches and four different frame sizes to analyse the EEG signals and achieves better performance when compared to the existing systems.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131295412","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":"MedNcrypt: A Blockchain based Decentralised Health Record Storage System using IPFS","authors":"K. Deshpande, Tejas Patil, Shubham Nagare, Rushikesh Sarode, Abhishek Dhanke","doi":"10.1109/ICSCSS57650.2023.10169706","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169706","url":null,"abstract":"The use of blockchain technology has shown great potential in various fields, including healthcare. This paper proposes a decentralized medical record storage system that utilizes Inter Planetary File System (IPFS) to store and retrieve medical records. The system uses blockchain technology to ensure secure and tamper-proof storage and retrieval of medical records while allowing patients to have full control over their own data. Implementation of smart contracts can be done to automate and streamline the process of granting access to medical records to authorized parties. The proposed system has several advantages over traditional medical record storage systems, including improved security, increased accessibility, and reduced costs. The proposed system has the potential to revolutionize the way medical records are stored and managed, and can greatly benefit patients, healthcare providers, and other stakeholders in the healthcare industry.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132466314","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":"Development of IoT Enabled Vegetable Stockpile Warehouse Monitoring System to Support Farmers","authors":"V. Ranjith, E. N. Sriravinaa, S. Subashree, K. Raguvaran","doi":"10.1109/ICSCSS57650.2023.10169370","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169370","url":null,"abstract":"Nowadays, farmers are facing a lot of issues regarding environmental conditions, cost inflation, and so on. In addition to these issues, a major drawback facing every day is safely maintaining the harvested products. So, new technological assistance is required to support farmers to come out from this issue. A lot of the stored grain spoils in the warehouse are due to temperature inconsistency and certain other climate factors. One of the main causes of this loss is the impossibility of maintaining perfect control over the insi de parameters of a storage unit. Grain quality may be maintained and storage losses can be minimized with timely, meaningful, and reliable to create a method to upload sensor readings to a remote cloud server and get the necessary facts from there. In this paper. Temperature readings, humidity readings, and other environmental characteristics are detected by using the proposed methodology because these parameters cause a significant impact on the nutritional value of vegetables. This system allows users to monitor respective sensor data in real-time and provide the user the ability to regulate adjustments. The Internet of Things (IOT) oriented Wi-Fi assistance creates the physical system structure for the supervision module, detailing the operation of numerous connections and sensors in precision as well as evaluating the outcomes of warehouse monitoring system design. The proposed solution employs existing IOT technologies and utilizes a Wi-Fi enabled NodeMCU controller to collect and transmit sensor data. The collected data is analyzed and processed using software to provide timely information and notifications to the relevant personnel regarding the warehouse’s environmental conditions. The system also offers corrective actions to address emerging scenarios. In terms of warehouse information storage, the IOT-based cloud-enabled solution provides significant advantages over the traditional paradigm. Extensive monitoring was conducted at various locations such as Erode, Coimbatore, Trichy, Salem, and Thiruchengode to guarantee system stability and optimize performance. By carefully observing these locations, valuable data and insights were collected to evaluate and enhance the system’s performance. The monitoring approach played a vital role in ensuring the deployment’s success by ensuring reliability, efficiency, and the ability to maintain desired conditions in indoor rooms containing potatoes and onions.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131672609","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":"Developing Data Analytics Support for Creative Learning Web Framework","authors":"Anand Morye, Neel Dudheliya, Ayush Jain, Jayshree Jha, K. Deshpande, Poonam Pangarkar","doi":"10.1109/ICSCSS57650.2023.10169801","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169801","url":null,"abstract":"Online learning has witnessed significant growth in recent years, accompanied by an increased utilization of learning analytics. While recent techniques such as analyzing page views, click-through rates, social network analysis, and predictive modeling have shown promise in addressing the challenges of enhancing student learning and understanding student interactions in online learning environments, several hurdles persist in their effective implementation. These challenges include data privacy and security concerns, scalability to handle large datasets, interpretability of complex analytics models, integration of diverse data sources, and the need for user-friendly tools that provide actionable insights to instructors without requiring advanced technical expertise. Additionally, capturing and accurately analyzing relevant data in the ever-evolving online learning platforms while accounting for the heterogeneity of student behaviors pose further challenges. Addressing these challenges is crucial for empowering instructors with meaningful insights to support student engagement and performance in online learning environments.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117202970","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":"Market Analysis and Forecasting using Trending Data Analytical Tool","authors":"C. A. Anuradha, A. Sivakumar, M. Sivaraman","doi":"10.1109/ICSCSS57650.2023.10169749","DOIUrl":"https://doi.org/10.1109/ICSCSS57650.2023.10169749","url":null,"abstract":"Marketing refers to the process of promoting, selling, and distributing products to potential consumers. It involves identify the preferences and needs of target consumers, developing a service or product that satisfies those needs, determining the most effective way to reach the target market, and creating and implementing a marketing plan that includes strategies for product pricing, promotion, and distribution. Marketing can take many forms, including social media marketing, internet search engine optimization, marketing via email, and conventional marketing and many others. The ultimate aim of marketing is to increase drive sales, brand awareness, and generate leads. Perfect marketing requires a deep understanding of the target market, their needs and desires, and the competitive landscape. Marketing plays a significant role in our society. The opportunity to increase one’s income is a big advantage of investing in the stock market. Analysis and Forecasting of the marketing sector are among the most challenging tasks. That’s also due to a number of factors, such as volatility in the market and a wide range of other independent as well as dependent variables that affect the stock’s market value. So, Stock market experts will find it difficult to perfectly forecast the market collapse or growth using all these factors. There are many marketing analytical tools available previously. This research work was done by the R data analytics tool for forecasting the best result.","PeriodicalId":217957,"journal":{"name":"2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115289865","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}