{"title":"Image Processing based Smart, Economical Blood Cancer Identification System","authors":"C. Raghavendra, P. Nagarani","doi":"10.1109/ICECAA55415.2022.9936203","DOIUrl":"https://doi.org/10.1109/ICECAA55415.2022.9936203","url":null,"abstract":"By separating young white blood cells from red blood cells, blood leukaemia can be detected with more accuracy and specificity. The only method to determine if someone has a blood problem is to take skin photos, calculate, shade, and measure them. The World Health Organization ranks leukaemia as the sixth most common cause of death globally. For a therapy to be effective and have a positive outcome, infection must be identified and detected early. In this research, it is believed that the cells that are connected to leukaemia would be able to be found and tested. Whether or not immature cells are present, as well as the degree of chronic or severe leukaemia, can be used to categories this illness. By combining morphological methods like region opening, region closing, disintegration, and expansion with histogram levelling and straight difference extending, it is possible to obtain a more even distribution of data points. As a result, the Proposed Method is more efficient than other earlier techniques.","PeriodicalId":273850,"journal":{"name":"2022 International Conference on Edge Computing and Applications (ICECAA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130938162","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}
Sohil C, Siva Subramaniam D, Gowtham R, Sundareswari K
{"title":"Implementing Machine Learning Adoption and Blockchain in the Health Care System","authors":"Sohil C, Siva Subramaniam D, Gowtham R, Sundareswari K","doi":"10.1109/ICECAA55415.2022.9936405","DOIUrl":"https://doi.org/10.1109/ICECAA55415.2022.9936405","url":null,"abstract":"Insider attacks on the electronic healthcare device category can result in a deceptive inspection of patients' fitness information, ensuing in unaccountability of records intake along with huge low-budget prices as an outcome of facts fissures in the Digital-Healthcare device without an effective detection technique. As a result, several health centers have confronted prison and reputational implications. A green technique must be proposed to address this challenge, especially for eHealth structures inside the cloud surroundings, in which activities are now carried out via cloud be cloud-based as a result of it. Even as anticipating such options proposed, health records may be centered, which may additionally bring about poorly affected person remedy thanks to disinformation, and accordingly individual mortality. This research is being driven by way of this necessity. This paper proposes a brand-new context for figuring out insider threats upon the usage of extraction in watermarking and detection in logging strategies which is primarily based on Cloud-based health care systems. The method generated a file that included numerous acts carried out through users as well as an audit path of criminal and un legal entries into the device. The technique displayed an immoderate degree of precision, recall, and accuracy inside the assessment finished at the cease of the studies, indicating that its performance is extremely good to undertake. Keywords: Watermarking Extraction, Logging Detection technique.","PeriodicalId":273850,"journal":{"name":"2022 International Conference on Edge Computing and Applications (ICECAA)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128822187","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":"Realization of VR+AR in the Interactive Platform of Online Art Education in Colleges Under the Internet Ecological Environment","authors":"Hongbin Liu","doi":"10.1109/ICECAA55415.2022.9936501","DOIUrl":"https://doi.org/10.1109/ICECAA55415.2022.9936501","url":null,"abstract":"VR is more and more widely used in various fields of life, and has achieved satisfactory results. This technology integrates computer and simulation technology, and has the characteristics of immersion, interaction and sharing, so its basic implementation is computer simulation of virtual environment. However, due to the relatively slow development of AR college art and design education in my country, so compared with cultural courses, there is still a big gap. In order to promote the development of art and design education in colleges and universities in my country, the exhibition platform of art works has been expanded and enriched. Widely disseminated on the Internet and self-media in digital form. Focus on the innovative development and application strategy of \"Internet + art education\".","PeriodicalId":273850,"journal":{"name":"2022 International Conference on Edge Computing and Applications (ICECAA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126497167","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":"Discussion on the General Monitoring Information Platform of Green Intelligent Building based on Data Set Mining Algorithm","authors":"Qiang Zhou","doi":"10.1109/ICECAA55415.2022.9936161","DOIUrl":"https://doi.org/10.1109/ICECAA55415.2022.9936161","url":null,"abstract":"When processing and mining health IoT data based on the Hadoop platform, this paper firstly studies the Hadoop source code, designs and implements a distributed data cleaning algorithm to filter redundant data; Theoretical mining of the simplest rules or all rules of general decision tables is an NP-Hard problem, and the application frequency of different green building technology points in green building projects with different star ratings and different building types is studied. The application analysis of green building technology based on the data platform can assist in the optimal design of green buildings for the reference of green building participants and policy makers. Actively build an ideal combination of \"AIoT + smart buildings\", so as to master the methods of applying artificial intelligence and Internet of Things theories and technologies to solve practical problems.","PeriodicalId":273850,"journal":{"name":"2022 International Conference on Edge Computing and Applications (ICECAA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123088326","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":"Fish Species Detection and Tracking Based on Fusion Intensity Entity Transformation using Optical Flow Algorithm","authors":"V. Ananthan","doi":"10.1109/ICECAA55415.2022.9936540","DOIUrl":"https://doi.org/10.1109/ICECAA55415.2022.9936540","url":null,"abstract":"Identification of fish species and development aquaculture is support for economic growth in India. By analyzing the commercial development of fish production is large in fishing environment. So monitoring the species in aqua nature and development is important through fish special development progress. The image processing techniques support for species development under the growth movement region. But the problem is quality of analysis is non sophisticated through image analysis results. To resolve this problem, this research study proposes a Fusion Intensity Entity Transformation (FIET) based Optical Flow Algorithm (OFA) to process the images to get accurate result which is recommendation from species growth recommendation. Initially the preprocessing was carried to reduce the noise through Gaussian filters. The segmentation of species is carried out by object enhancement entity identification through enlighten segmentation called Structural Cascaded Object Segmentation (SCOS). Then Fusion Intensity Entity Transformation (FIET) was applied to identify the count species features. Then features get trained with decision flowed optical flow optimization algorithm. This proposed system produce high performance compared to the other system well in detection accuracy.","PeriodicalId":273850,"journal":{"name":"2022 International Conference on Edge Computing and Applications (ICECAA)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126486260","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}
P. S, Krithick Shibi. M.S, S. S., R. Kingsy Grace, M. Sri Geetha
{"title":"Abstractive Summarizer using Bi-LSTM","authors":"P. S, Krithick Shibi. M.S, S. S., R. Kingsy Grace, M. Sri Geetha","doi":"10.1109/ICECAA55415.2022.9936215","DOIUrl":"https://doi.org/10.1109/ICECAA55415.2022.9936215","url":null,"abstract":"Abstractive Summarization (AS) of texts is the task of abstracting crucial information from the source. This paper presents an approach for text summarization in abstractive form with deep learning techniques. This paper develops a model that produces more precise and coherent summaries without redundancy problems. An efficient summarizer should provide the context from the input text in a brief manner. Thus, the output of the summarizer is abstracted information and is presented as a summary to the user. The dataset CNN Daily Mail is often used for multi -sentence summarizing techniques, and the AS models are usually used under an immense deep learning technique termed as seq-to-seq model. In the summarization part, the encoder-decoder model is typically applied. The most often used metric for evaluating the quality of summarization is identified: Recall - Oriented Understudy for Gisting Evaluation (ROUGE). The proposed summarizer performs better in terms of ROUGE.","PeriodicalId":273850,"journal":{"name":"2022 International Conference on Edge Computing and Applications (ICECAA)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122260014","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}
Vaibhav Kanhekar, Tejas Deshbhratar, Yogeshwari Matey, Kamlesh Kalbande, A. Deshmukh
{"title":"Hydroponic Farming using IoT","authors":"Vaibhav Kanhekar, Tejas Deshbhratar, Yogeshwari Matey, Kamlesh Kalbande, A. Deshmukh","doi":"10.1109/ICECAA55415.2022.9936366","DOIUrl":"https://doi.org/10.1109/ICECAA55415.2022.9936366","url":null,"abstract":"Civilization, wide fields, and soil-based agriculture are all facing serious challenges. These problems are mostly caused by a decline in per capita land supply. Low land fertility is seen as a growing problem in agricultural productivity; naturally, soil fertility helps microorganisms grow with regular cultivation. Frequent drought conditions and unpredictability of climate and weather patterns, rise in temperature, river pollution, poor water management, waste of large amounts of water, and decline in groundwater level are all conditions that can have a major impact on the land. Feeding the entire population may become impossible in the near future. Soilless culture is becoming more common in today's rising world. Plants are raised without soil in soil-less cultivation, by the help of system like hydroponic technique, where the nutrients to the plants are provided via observing the reading of the pH, temperature & humidity from the Blynk App. This system provides IoT based solution for monitoring different parameters and controlling flow of nutrients for hydroponic farming. This set-up is controlled and monitored with the help of the node MCU ESP8266 via Blynk app.","PeriodicalId":273850,"journal":{"name":"2022 International Conference on Edge Computing and Applications (ICECAA)","volume":"34 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125719643","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":"Design of Auxiliary Monitoring Platform for College Students' Mental Health Education based on Internet Trace Data Mining","authors":"Yuan Hui","doi":"10.1109/ICECAA55415.2022.9936583","DOIUrl":"https://doi.org/10.1109/ICECAA55415.2022.9936583","url":null,"abstract":"Combined with the network traces of scientific research groups, data are obtained through tools such as web crawlers, and key indicators of scientific research group ability evaluation are selected, and a scientific research ability cluster analysis method based on PAM algorithm is established. The psychological characteristics of college students are analyzed, and the psychological characteristics are introduced Some basic knowledge of evaluation and mental health, and fully analyzed and explained the necessity of developing this platform. Active traces and passive traces, dominant traces and invisible traces, etc.; and propose different data acquisition methods for different network traces. The platform uses object-oriented technology to develop the entire system, mainly using ASP.NET and AJAX technology to develop.","PeriodicalId":273850,"journal":{"name":"2022 International Conference on Edge Computing and Applications (ICECAA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126049166","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":"Design of a Data-based Evaluation Platform for the Integration of Rural Tourism Culture and Catering Industry based on Multi-Dimensional Remote Sensing Information Collection","authors":"Chun-Luo, Xianyong-Wu, Zhicong-Wu","doi":"10.1109/ICECAA55415.2022.9936481","DOIUrl":"https://doi.org/10.1109/ICECAA55415.2022.9936481","url":null,"abstract":"Aiming at the performance problem of multidimensional analysis of massive data after integrating remote sensing information, the high-performance aggregation computing method involved in cube construction and analysis is studied by introducing the Map-Reduce computing model. As a multi-ethnic settlement in Southeast Guizhou, multi-ethnic food has its own characteristics. How to use the characteristic food culture to promote the development of rural tourism is very important. The purpose of this paper is to study the development and utilization of rural food cultural resources, and to put forward suggestions for the better role of rural food cultural resources in rural tourism. Integrate rural tourism with cultural and creative industries to promote rural economic development while meeting the needs of tourists.","PeriodicalId":273850,"journal":{"name":"2022 International Conference on Edge Computing and Applications (ICECAA)","volume":"132 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120888465","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":"Multi-Band Remote Sensing Image Time Series Analysis to Predict Smart Tourism Economic Development Support System: Taizhou, Jiangsu","authors":"Xiao-Ying Yao","doi":"10.1109/ICECAA55415.2022.9936461","DOIUrl":"https://doi.org/10.1109/ICECAA55415.2022.9936461","url":null,"abstract":"A half-space theoretical model of two-dimensional periodic medium for remote sensing data is proposed. Since the eigenvectors of electromagnetic fields in two-dimensional periodic medium are not limited to the polarization direction of the incident field, the scattering of the same polarization and cross polarization can be considered. This paper summarizes the current research status at home and abroad from the perspectives of smart tourism concept, core technology, application, evaluation, and countermeasures. Combined with the development characteristics of smart tourism in my country and Taizhou, Jiangsu, and drawing on the guidance of experts and practitioners in smart tourism, the establishment includes three The three-level evaluation index system includes a subdivision index respectively. Based on the tourism economic clustering results of time series remote sensing images based on CD-KMeans, the overall classification accuracy is 90.84%, and the Kappa coefficient is 0.88.","PeriodicalId":273850,"journal":{"name":"2022 International Conference on Edge Computing and Applications (ICECAA)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120978773","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}