发布求助
文献互助 智能选刊 最新文献

2023 3rd International Conference on Smart Data Intelligence (ICSMDI)最新文献

筛选
英文 中文
A Systematic Literature Review on Symmetric and Asymmetric Encryption Comparison Key Size 对称与非对称加密密钥大小比较的系统文献综述
2023 3rd International Conference on Smart Data Intelligence (ICSMDI) Pub Date : 2023-03-01 DOI: 10.1109/ICSMDI57622.2023.00027
Mohammed A Althamir, Abdullah Alabdulhay, M. M. Yasin
{"title":"A Systematic Literature Review on Symmetric and Asymmetric Encryption Comparison Key Size","authors":"Mohammed A Althamir, Abdullah Alabdulhay, M. M. Yasin","doi":"10.1109/ICSMDI57622.2023.00027","DOIUrl":"https://doi.org/10.1109/ICSMDI57622.2023.00027","url":null,"abstract":"Symmetric and asymmetric encryption methods are used when a web browser is used to reply to emails, submit website forms, and perform similar activities. Key size is essential to enable security, which means the longer a key is, the better security can be ensured. Purpose: This review aims to present an overview of the critical size length, which is significant against different types of cyber attacks. Methodology: This research study is based on systematic literature review and secondary data analysis. Results: The symmetric and asymmetric key sizing participate in enabling data security and protection. Conclusion: Different cryptographic techniques will contribute to highlight the best approach that can be employed to maintain confidential data and address related issues within symmetric and asymmetric encryption key size.","PeriodicalId":373017,"journal":{"name":"2023 3rd International Conference on Smart Data Intelligence (ICSMDI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130142399","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
Construction of Scientific Decision-Making System for Power Service Integrating Smart Cloud Platform 集成智能云平台的电力服务科学决策系统构建
2023 3rd International Conference on Smart Data Intelligence (ICSMDI) Pub Date : 2023-03-01 DOI: 10.1109/ICSMDI57622.2023.00036
Jie Cheng, Jun Wang, Di Gao, Yaoyu Wang
{"title":"Construction of Scientific Decision-Making System for Power Service Integrating Smart Cloud Platform","authors":"Jie Cheng, Jun Wang, Di Gao, Yaoyu Wang","doi":"10.1109/ICSMDI57622.2023.00036","DOIUrl":"https://doi.org/10.1109/ICSMDI57622.2023.00036","url":null,"abstract":"Construction of scientific decision-making system for the power service integrating smart cloud platform is the main topic of this study. In recent years, the development of the power system has entered a new era, and profound changes have taken place in business requirements, technical characteristics and functional forms. Hence, the combination with the cloud system is essential. This paper considers two core functionalities: (1) the unit combination problem solution; (2) online security and stability decision of the power system guarantee as the referring targets. Through the testing under cloud scenario, the performance is then validated.","PeriodicalId":373017,"journal":{"name":"2023 3rd International Conference on Smart Data Intelligence (ICSMDI)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131541392","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
HarGharSolar : Recognition of Potential Rooftop PhotoVoltaic Arrays Using Geospatial Imagery for Diverse Climate Zones. HarGharSolar:利用地理空间图像识别不同气候区的潜在屋顶光伏阵列。
2023 3rd International Conference on Smart Data Intelligence (ICSMDI) Pub Date : 2023-03-01 DOI: 10.1109/ICSMDI57622.2023.00108
Juhi Chhatlani, Tejashree Mahajan, Rushabh Rijhwani, Advait Bansode, G. Bhatia
{"title":"HarGharSolar : Recognition of Potential Rooftop PhotoVoltaic Arrays Using Geospatial Imagery for Diverse Climate Zones.","authors":"Juhi Chhatlani, Tejashree Mahajan, Rushabh Rijhwani, Advait Bansode, G. Bhatia","doi":"10.1109/ICSMDI57622.2023.00108","DOIUrl":"https://doi.org/10.1109/ICSMDI57622.2023.00108","url":null,"abstract":"As solar energy has been recognized as an inexhaustible source of energy, the solar photovoltaic installation business has taken the lead in today's market. Nowadays, people are investing more in green energy due to its harmless and everlasting supply of energy and also its boundless applications. With the adaptation of solar panels on the building rooftops, people often fail to think of the total energy that will be generated from the solar panel and if the generated power is sufficient enough to fulfill the power requirements of the whole building. Different climate zones receive different amounts of sunlight and thus, solar energy generation varies in all regions. Artificial Intelligence has evolved to bring significant development in this field as it helps in detecting rooftops that have a potential for solar photovoltaic systems and also helps to efficiently detect how much energy can be generated using the solar panels. Latest Deep Learning models like YOLO, EfficientNet, VGG ResNet etc are able to detect rooftops using geospatial images of zones and models like U-Net, SegNet etc are used to configure the solar photovoltaic system for the consumer. An additional model for the calculation of power generated considering different parameters like climate, topography will be built using advanced AI techniques. The best performing models will be finetuned and integrated with the front end to act as a one stop destination for the end user.","PeriodicalId":373017,"journal":{"name":"2023 3rd International Conference on Smart Data Intelligence (ICSMDI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114258795","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
A Study on Covid-19 Analytics on Bigdata 新冠肺炎大数据分析研究
2023 3rd International Conference on Smart Data Intelligence (ICSMDI) Pub Date : 2023-03-01 DOI: 10.1109/ICSMDI57622.2023.00029
Dandu Jeevan Sai Kumar, Shahnam Baig, Mallina Satwik Chowdary, Kondaveeti Basava Sai Manjunath, K. Prasad, Sathish Kumar Kannaiah
{"title":"A Study on Covid-19 Analytics on Bigdata","authors":"Dandu Jeevan Sai Kumar, Shahnam Baig, Mallina Satwik Chowdary, Kondaveeti Basava Sai Manjunath, K. Prasad, Sathish Kumar Kannaiah","doi":"10.1109/ICSMDI57622.2023.00029","DOIUrl":"https://doi.org/10.1109/ICSMDI57622.2023.00029","url":null,"abstract":"Big data enables the rapid generation of massive volume of data from a variety of rich data sources. Using the 2019 coronavirus disease as an example, these enormous data sets contain information on people who have had viral illnesses, as well as information on healthcare and epidemiology. (COVID19). Researchers, epidemiologists, and lawmakers can better comprehend the disease as a result of data scientists' knowledge obtained from these epidemiological data, which may inspire them to create policies for identifying, containing, and combating it. This article outlines a data science methodology for analyzing vast quantities of COVID-19 epidemiological data. This study investigates if early SARS exposure affects imprinting based on the imprinting theory. that has a significant impact fear of COVID-19 In addition, this study suggests the use of big data and AI applications will determine whether this effect occurs. The global economic, social, sociological, and health sectors were severely harmed by the COVID-19 epidemic, which also caused a sizable number of fatalities. The necessary knowledge is developed using the proper big data analytics technologies, which are then used to make judgements and take precautionary action.","PeriodicalId":373017,"journal":{"name":"2023 3rd International Conference on Smart Data Intelligence (ICSMDI)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116509747","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
Automated Shopping Cart: Reducing Long Queues One Cart At A Time 自动购物车:一次一辆车减少排长队
2023 3rd International Conference on Smart Data Intelligence (ICSMDI) Pub Date : 2023-03-01 DOI: 10.1109/ICSMDI57622.2023.00010
Kuntal Gorai, S. V S C Santosh, Skanda S, Vijay Murugan A S, Prajwala Tr
{"title":"Automated Shopping Cart: Reducing Long Queues One Cart At A Time","authors":"Kuntal Gorai, S. V S C Santosh, Skanda S, Vijay Murugan A S, Prajwala Tr","doi":"10.1109/ICSMDI57622.2023.00010","DOIUrl":"https://doi.org/10.1109/ICSMDI57622.2023.00010","url":null,"abstract":"Everyone has experienced waiting in long queues to get their items billed at a shopping cart. With this product, the proposed research work intends to reduce the time spent by shoppers in queues. Our automated shopping cart can reduce the time and manual labor required for weighing and billing the items a user wishes to buy. This article has developed a shopping cart with weight sensors built into the cart to measure the load of the product, and an android application with deep learning models(MobileNetV2 and EfficientNetV2) to classify the required item. The models were trained on a custom-built dataset with 51 classes. The mobile phone camera is used to capture an image of the product. The models are used to classify this item. Once the item is classified, the weight of the item is obtained from the load cells. A database analysis is performed to obtain the price of the item. With these details, the bill is generated as soon as the user is done with shopping without waiting in long queues.","PeriodicalId":373017,"journal":{"name":"2023 3rd International Conference on Smart Data Intelligence (ICSMDI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129941260","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
Agrobot: Agricultural Robot using IoT and Machine Learning (ML) Agrobot:使用物联网和机器学习(ML)的农业机器人
2023 3rd International Conference on Smart Data Intelligence (ICSMDI) Pub Date : 2023-03-01 DOI: 10.1109/ICSMDI57622.2023.00094
D. Roja Ramani, Rachna P, Pavan G, R. Reddy, Mohammad Huzaifa
{"title":"Agrobot: Agricultural Robot using IoT and Machine Learning (ML)","authors":"D. Roja Ramani, Rachna P, Pavan G, R. Reddy, Mohammad Huzaifa","doi":"10.1109/ICSMDI57622.2023.00094","DOIUrl":"https://doi.org/10.1109/ICSMDI57622.2023.00094","url":null,"abstract":"In today's world agriculture plays a very important role in the manufacturing of textiles, clothes, production of surplus number of crops that is food, which is essential for the everyday livelihood of mankind. On the other hand, there are a lot of challenges in the agricultural industries such as unpredictable natural disasters such as droughts, famines, floods etc., which can incur huge loss for the agriculture industries as well as the countries which have an agrarian society not only will it be affected by natural disasters but can also be affected by the diseases, which have the potential to destroy crops. The primary objective is to assist farmers and agriculture industries to thrive so that there can be less occurrence of food shortages by efficiently increasing the production of crops tenfold, analyzes the soil fertility for better plant growth, helps prevent plant epidemic by analyzing which fertilizer is better suitable for the protection of the plant to analyze the weather and the plants that is suitable to grow in the particular weather condition and predict the occurrence of natural disasters such as droughts and floods for early prevention from the crops by using the ATMEGA controller.","PeriodicalId":373017,"journal":{"name":"2023 3rd International Conference on Smart Data Intelligence (ICSMDI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130148283","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
Creation of Web based Eligibility System for Government Programs 创建基于网络的政府项目资格系统
2023 3rd International Conference on Smart Data Intelligence (ICSMDI) Pub Date : 2023-03-01 DOI: 10.1109/ICSMDI57622.2023.00030
Sandeep Yellisetti, Manam Anju Priya, Polavarapu Venkata Naga Rishitha Chowdary, Rangisetti Lakshmi Sravanthi
{"title":"Creation of Web based Eligibility System for Government Programs","authors":"Sandeep Yellisetti, Manam Anju Priya, Polavarapu Venkata Naga Rishitha Chowdary, Rangisetti Lakshmi Sravanthi","doi":"10.1109/ICSMDI57622.2023.00030","DOIUrl":"https://doi.org/10.1109/ICSMDI57622.2023.00030","url":null,"abstract":"Government Schemes Eligible System Research's fundamental concept is to build a technology platform to assist residents in using and determining their eligibility for online programs. Every phone in the nation will have this application loaded on it, and users may use it to see if they qualify for any programs by filling out an online application. There is a disconnection between citizens, authorities, and government initiatives while using the current system. The government has implemented several programs, but the population has not fully taken advantage of them. This issue will be resolved by the introduction of an web design that will make work easier and productive. Citizens must use the assistance of government personnel to submit their applications for the program online. Information about the application's processing will be updated. For both public and government, this technology will save time.","PeriodicalId":373017,"journal":{"name":"2023 3rd International Conference on Smart Data Intelligence (ICSMDI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125352763","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
A Comprehensive Study of Robotic Healthcare System 机器人医疗系统的综合研究
2023 3rd International Conference on Smart Data Intelligence (ICSMDI) Pub Date : 2023-03-01 DOI: 10.1109/ICSMDI57622.2023.00105
Sanam Geethika Sai, Raparthy V.K.Sh. Akhil, V.Sasi Sushma, S.Harsha Preetham, K. Prasad, Sathish Kumar Kannaiah
{"title":"A Comprehensive Study of Robotic Healthcare System","authors":"Sanam Geethika Sai, Raparthy V.K.Sh. Akhil, V.Sasi Sushma, S.Harsha Preetham, K. Prasad, Sathish Kumar Kannaiah","doi":"10.1109/ICSMDI57622.2023.00105","DOIUrl":"https://doi.org/10.1109/ICSMDI57622.2023.00105","url":null,"abstract":"Health Care 4.0 envisions a smart and connected healthcare practices. The emerging Cyber Physical Systems (CPS) based robotic healthcare systems is the recent technological advancement that revolutionizes the healthcare industry. This study reports the innovative concepts and capabilities of the CPS-based robotic healthcare systems. The technology that empowers health care industry include, Artificial intelligence (AI), distributed computing and big data. Finally, this study discusses about the potential design and development challenges faced by CPS-based robotic healthcare systems.","PeriodicalId":373017,"journal":{"name":"2023 3rd International Conference on Smart Data Intelligence (ICSMDI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132547927","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
Static Keystroke Dynamic Authentication (SKDA) Model to Authenticate User during Password Change 修改密码时对用户进行认证的静态击键动态认证(SKDA)模型
2023 3rd International Conference on Smart Data Intelligence (ICSMDI) Pub Date : 2023-03-01 DOI: 10.1109/ICSMDI57622.2023.00054
Nataasha Raul, R. Shankarmani, Padmaja Joshi
{"title":"Static Keystroke Dynamic Authentication (SKDA) Model to Authenticate User during Password Change","authors":"Nataasha Raul, R. Shankarmani, Padmaja Joshi","doi":"10.1109/ICSMDI57622.2023.00054","DOIUrl":"https://doi.org/10.1109/ICSMDI57622.2023.00054","url":null,"abstract":"Keystroke dynamics is considered as a supporting factor of authentication. Especially in the static keystroke dynamics, the user is identified by using the timing featured, which is captured while the user enters the login ID and password. To achieve this, the user profile needs to be created with timing features. However, in a scenario like a change of password where nearly no keystroke timing data is available, non-conventional features may be helpful. This article focuses on using non-conventional features such as NumLock key, Shift key, CapsLock key, etc for identifying users during a change of password. The paper also details how to capture the non-conventional features in static keystroke dynamics and build a model that can be used in the change of nassword.","PeriodicalId":373017,"journal":{"name":"2023 3rd International Conference on Smart Data Intelligence (ICSMDI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134452500","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
Chronic Kidney Disease Prediction Techniques: A Survey 慢性肾脏疾病预测技术综述
2023 3rd International Conference on Smart Data Intelligence (ICSMDI) Pub Date : 2023-03-01 DOI: 10.1109/ICSMDI57622.2023.00053
Narinder Kumar, Sanjay Singla
{"title":"Chronic Kidney Disease Prediction Techniques: A Survey","authors":"Narinder Kumar, Sanjay Singla","doi":"10.1109/ICSMDI57622.2023.00053","DOIUrl":"https://doi.org/10.1109/ICSMDI57622.2023.00053","url":null,"abstract":"Chronic Kidney Disease (CKD) is predicted by using the CKD dataset collected from different online and offline sources. Several AI techniques available to perform CKD identification use their own sources of information, such as medical images or medical information in a tabulated form with the markers collected from Electronic Health Record (HER). Researchers have designed prediction models by using publicly available standard CKD information from the University of California, Irvine's Machine Learning for enabling the validation of outcomes as well as the comparison against other models. Various systems have been designed in the previous years to perform CKD prediction based on Machine Learning (ML) and Deep Learning (DL). This study discusses about various research works that are reviewed for the CKD prediction in terms of certain parameters. This work employs ML algorithms after pre-processing the data and compares the performance to obtain the accurate result. Here, the effectiveness is computed by using F1 score, precision, accuracy, recall, and AUC score.","PeriodicalId":373017,"journal":{"name":"2023 3rd International Conference on Smart Data Intelligence (ICSMDI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126321554","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信