2023 International Conference on Artificial Intelligence and Smart Communication (AISC)最新文献

{"title":"The Analyzing of Role of Big Data in Security and General Privacy Problems through Correlation Analysis","authors":"Sachin Gupta, Harsimran Jeet Singh","doi":"10.1109/AISC56616.2023.10085049","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085049","url":null,"abstract":"Big data has just been extensively used across several businesses, which has significantly increased the number of different information systems. Numerous analysis techniques, such standard information mining or quantitative test techniques, are propelling the big data sector's continued growth. The potential to get new information via the evaluation, synthesis, and the use of existing data is one of big number's key features. Another is the idea that content from many sources does indeed have a life cycle that spans procurement through waste. But, concerns with infosec and dependability arise at every stage of a product's lifecycle, rendering the safety of data that can be used to precisely identify a people a key goal across the entire process. Numerous big data analysis approaches may be used to evaluate user activity, however collecting that data is against users' privacy. By examining current guidelines issued by international standardization groups and completing a review of research analysis, this paper explores risks and confidentiality issues that arise with delivery of enormous amounts of data.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117005610","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":"Cotton Disease Detection","authors":"Katta Dakshinya, M. Roshitha, Parasa Akshitha Raj, C. Anuradha","doi":"10.1109/AISC56616.2023.10084992","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10084992","url":null,"abstract":"Cotton is India's most important crop, and maintaining the plants is crucial. Verticillium wilt, Alternaria spot, Cercosporin leaf spot, bacterial leaf blight, and red spot, are all diseases that harm cotton leaves. As a result, numerous methodologies have been introduced to aid farmers and increase crop productivity. Apart from those models, this paper outlines a fantastic method for detecting cotton plant diseases. A prior project-based effort is a web application. It describes a strategy that uses Partial Differential Equations (PDE)- based image decomposition, segmentation, feature extraction, feature selection, and classification to improve classification performance and propose a treatment plan. To partition the image into texture and object components, the total variation model is frequently utilized. The texture, color, and shape features are extracted using the codebook method and afterward combined into a feature set. The relief technique of selecting features is employed to keep only relevant attributes. Only a subset of the elements considered in classification is permitted to pass through the Multiclass classification Support Vector Machine (SVM) algorithm. Despite this, we developed a disease detection app using CNN, with a dataset of 2000 leaf images that incorporates the previously mentioned factors. The proposed technology will serve as a graphical interface for monitoring cotton leaf disease. We were able to identify the plants' diseases with 92.5 percent accuracy using the app.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117124982","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":"COVID-19 Effect on India's Business Utilizing Online, Blockchain, or AI Algorithms","authors":"Hamsa S, Bhuvana J","doi":"10.1109/AISC56616.2023.10085658","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085658","url":null,"abstract":"The COVID-19 illness primarily carried by a Corona viral, commonly known as SARS-CoV-2. The rapid pace of such a drug's growth over six of the seven planets, except South, was already reported. Ever since it appeared, it has caused serious damage for many sectors and didn't harm the luxury goods sector. A major gate as in transition is opened by the epidemic. The COVID-19's effects on the Indian economy are negative. A old company concept needs to evolve to meet the demands of present.Through a clever absorption of internet media, method, & aptitude in any point & activity, the change as in setting of online is witnessed in all areas, i.e., in society, organisation, or in the exactness like an organisation, only in companies, or in the environment. Technology is used in conjunction with industry 4.0 (also known as DX or DT) to generate value for key parties (users in the totality), and to develop and gain the capacity for quickly adapting to situations which are altering.Any item or service may now be marketed but also advertised to customers online thanks to change carried out in a data - driven method, which has done away with the need for external middlemen. A large number of firms are impacted by COVID-19 since it has an impact to the entire globe and causes social estrangement with customers. In light of social distance, a wide range of sectors and businesses will be impacted. In this research, the idea of digitisation is proposed as a projected way through. Social distance may alter the characteristics or the purchasing habits. This study is being done to determine how it COVID-19 problem will affect consumer purchasing habits. By using internet tactics and strategies, consumers are shifting the way that merchandise and services are traditionally purchased. As per research, the digital advertising framework has permeated our imagination for acquiring the ways that are best for selling from several top-performing businesses.Only thing changing in regard of consumer purchase intention following COVID-19 recuperation would be the sales for items, which will mostly stay same with. Consumers will develop the buying habit so as protection, physically or straight from creators.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115251471","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":"Image Processing with Intelligence System Using Sensing in Cyber Security","authors":"Sailaja Petikam, Felipe De Castro Dantas Sales, S. S, José Luis Arias Gonzáles, K. Joshi, Bhasker Pant","doi":"10.1109/AISC56616.2023.10085025","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085025","url":null,"abstract":"The main goal of transmission map is to reproduce the provided picture or image as closely as possible to the 3-billion world brightness while synchronising the human reader within the display devices. Medicinal imaging uses these techniques to reduce noise and sharpen details to improve the visual definition of the image. When presenting medical photos, it's essential to focus on the most crucial possibilities since details are so crucial in assessing evidence and treating sickness. It might be a technique for lowering tall data's unpredictable nature. With less data, you may rough out comprising using essential component analysis. Each assessment, which is considered as the most crucial element, is a direct combination of the underlying elements and the volume of data. This information may be utilised to address a variety of recurring issues. It also demonstrated how successfully Web and picture data sources can be analysed using big data. privacy violations, techniques for safeguarding the systems' and surroundings' pattern parts, Conversely, edges, which almost always constitute intriguing aspects of a picture, are also characterised by strong shifts in gray scale image, therefore averaging lenses have the unfavourable side effect of blurring edges. The smoothing of erroneous contours caused by the use of a small range o gray value is yet another use for this sort of technique.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115652765","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":"Image Classifications Methods Analysis with Differen Methods to for Identifying best Image Layout with High Resolution","authors":"Mahesh Tr, Vivek V","doi":"10.1109/AISC56616.2023.10085356","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085356","url":null,"abstract":"This researcher investigated effective much eye opening and pattern detection algorithms. Finally, this article used two frameworks to argue that geospatial investigation systems for patterns are necessary. One of most popular method for analyzing photographs using image processing and analysis math is probably visual configuration methods. Imagery description is also necessary for the evaluation of remote sensing tools used for thorough land investigation. The three main image configuration techniques that are often used for far detection are opinion piece visual analysis, controlled groupings, and solos visual categorization. The approach used in these image layout techniques is combined in the present study. The present study also briefly summarizes each approach's use in exploring distant sensing info while also outlining the steps for each way using stream outlines and frameworks. Generally speaking, a quick overview of image layout techniques is included in the test.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114233520","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":"Industrial IoT Condition Monitoring using Wireless IoT Sensor","authors":"Anil Bhaskar","doi":"10.1109/AISC56616.2023.10085613","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085613","url":null,"abstract":"To detect problems with industrial machines, this study developed a rigorous methodology for predictive maintenance. Predictive maintenance is a developing area of study with the goals of extending the useful life of machinery and cutting down on unplanned downtime by using data gleaned through the Internet of Things (IoT) monitoring conducted via wireless sensors. The suggested framework will comprise data collection, processing, analyzing it using a machine learning strategy, and making a conclusion for predictive maintenance. The suggested model is implemented in a LabView simulation developed to track the health of a piece of industrial machinery with fluctuating vibration levels. This study demonstrated the efficacy of the suggested model for predictive maintenance by analyzing current, temperature, and vibration patterns in LabView. Overall, the research makes a valuable contribution by using a Machine Learning technique and proposing a systematic framework for failure detection of industrial equipment using IoT applications.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114876670","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":"Website Traffic Forecasting Using Deep Learning Techniques","authors":"Himaswi Nunnagoppula, Kusuma Katragadda, M. Ramesh","doi":"10.1109/AISC56616.2023.10085005","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085005","url":null,"abstract":"Today, predicting website traffic is a huge concern since it could influence the operation of critical websites. With more people visiting the website, it can crash or load very slowly. Such interruptions could resultin numerous disturbances. Users’ ratings of the site have subsequently dropped, and users have switched to other sites, which has an impact on the business. Web traffic is the volume of data that visitors send and receive on a website, and historically, it has made up the majority of internet traffic. The ability to forecast internet traffic flow is totally dependent on historical and real-time traffic data collected from many sources that monitor network flow. One of the toughest issues in this area is the prediction of future time series values. However, there are already a lot of systems and models for predicting internet traffic flow,the majority of them use basic traffic models and are still not completely satisfactory. This motivates us to revisit the deep learning-based model for predicting internet traffic flow given the abundance of available internet traffic data. The dataset used in this study contains information on the Hour Index and Sessions, and it was fed into CNN and LSTM time series forecasting models. The study compares the significance of the differences in the model to determine which makes better predictions for the traffic over the following 24 hours.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125603057","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":"Farmers' desire towards real-time implementation of IoT in agricultural productions","authors":"Arjune.S Kumar, V. Srinivasa","doi":"10.1109/AISC56616.2023.10085639","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085639","url":null,"abstract":"A modern, efficient method of farming and food production known as \"smart farming\" uses responsible strategies. It is an implementation of integrating cutting-edge technologies and smart devices into food production. Internet of things is a key component of smart farming, which eradicates the requirement for growers and cultivators to perform physical tasks while simultaneously enhancing efficiency in every way. By observing the field, Internet of things adopted precision farming enhances the whole farming system. The farming sector will need to utilize new methods to attain a superior advantage in order to satisfy the requirements of that expanding population. Internet of things based smart Agri applications will help the sector become more efficiently functioning, cut expenses, decrease waste, and produce higher- quality harvests. 7KLV VWXG KDV EHHQ FRQILQHG WR GHOWD 'LVWULFW RI 7DPLO 1ƗGX comprise of Pudukkottai, Perambulur, Ariyalur, Cuddalore, Trichy, Nagapattinam, Thiruvarur and Thanjavur. Further, questions pertaining to characteristics, problems faced, awareness of farmers in IoT adoption alone ascertained in the study. This study was mainly conducted to check the influence of awareness and challenges influence towards IoT application adoption. Finally, this paper will help policy makers to understand the rural farmers in delta district interest towards IoT applications adoption better.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126645270","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":"IoT Based Sewage System Blockage and Water Accumulation Prevention System","authors":"Amanpreet Kaur, H. Wadhwa, Sushil Kamboj","doi":"10.1109/aisc56616.2023.10085120","DOIUrl":"https://doi.org/10.1109/aisc56616.2023.10085120","url":null,"abstract":"Under the project of developing smart cities, role of the Internet of Things (IoT) is crucial to provide a unified and exclusive access to public resources including electricity, water and sewage, transport facilities along with their optimal utilization. In India, the untreated sewage is the major cause of pollution water sources causing various diseases including diarrhea.The proposed research deals with the blocked sewage system and solving the problem of blockage faster based on IoT devices. Pressure sensor on the bottom as well as on the top of the manhole cover are used to predict the sewage blockage and water logging problem. When the water level rises in the sewage, the pressure inside the manhole gradually increases.When the sewage water starts building up the pressure and reaches at a certain point (threshold limit), pressure sensor (P1) beneath the manhole cover will be triggered and an alert message will be raised in the service cooperation through phone application. When the water level above the manhole increases, the pressure sensor (P2) will be triggered and a red small LED will glow to indicate that the water staggered on the top of the manhole.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126954520","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":"Integration of IOT with Block Chain Technology for the Technology Advancement","authors":"Subha B, Leelavathi R, Hari Bhaskar R, Ch. Raghava Prasad, A. Gehlot, Devvret Verma","doi":"10.1109/AISC56616.2023.10085279","DOIUrl":"https://doi.org/10.1109/AISC56616.2023.10085279","url":null,"abstract":"The technique that enables that data storage of any data collection is known as bitcoin. With some of its applied different, it offers a secure system, as well as a visible with the set of data being readily available to all users. Blockchain-based applications for cryptocurrency are called attention for their dependability, robustness, and efficiency. The cryptocurrency therefore is made accessible to reach enormous populations. Despite being the thing of the future, the bitcoin has a number of drawbacks that vary depending on the use case. This research assessed how well different blockchain networks functioned in various applications. The pros and cons of such a system, which itself is referred to as the technological advancement of the future, was thoroughly studied and contrasted.","PeriodicalId":408520,"journal":{"name":"2023 International Conference on Artificial Intelligence and Smart Communication (AISC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128156803","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}