2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)最新文献_第2页

Smart Residential Energy Management System (REMS) Using Machine Learning 使用机器学习的智能住宅能源管理系统(REMS)

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410779

J.R Wijesingha, B.V.D. R Hasanthi, I.P.D. Wijegunasinghe, M. K. Perera, K.T.M.U. Hemapala

{"title":"Smart Residential Energy Management System (REMS) Using Machine Learning","authors":"J.R Wijesingha, B.V.D. R Hasanthi, I.P.D. Wijegunasinghe, M. K. Perera, K.T.M.U. Hemapala","doi":"10.1109/ICCIKE51210.2021.9410779","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410779","url":null,"abstract":"Electricity consumption is increasing day by day in every corner of the world which leads to imbalance of supply and demand. In the current scenario, everybody searches for cheaper and environmentally friendly approaches in accessing electricity. In order to mitigate falling into a huge energy crisis, both the utility and consumer could involve in energy management which is a convenient and trending approach. We believe it should be started from the ground level, which is the consumer scope. This paper proposes a method for a smart Residential Energy Management System (REMS) using Machine Learning. Specifically, the proposed system (REMS) effectively switches pre-prioritized possible loads without limiting consumption, between the grid and renewably energized local storage with rooftop solar at the residential premises, using Machine Learning algorithms. Reduction of the electricity bill with a reliable power supply as much as possible in residential premises is also concerned, with the use of by load shifting algorithm. Available average solar power prediction using Artificial Neural Network and Optimum utilization of available solar power generation and the energy storage using Reinforcement Learning features are also included in the system. Ultimately, the grid dependency is reduced at the Residential premises.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123182997","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: 2

Automatic Glaucoma Diagnosis Based on Photo Segmentation with Fundus Images 基于眼底图像分割的青光眼自动诊断

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410772

P. M. Siva Raja, R. Sumithra, G. Thanusha

{"title":"Automatic Glaucoma Diagnosis Based on Photo Segmentation with Fundus Images","authors":"P. M. Siva Raja, R. Sumithra, G. Thanusha","doi":"10.1109/ICCIKE51210.2021.9410772","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410772","url":null,"abstract":"Glaucoma is a prime sickness that damages the optic nerve of the eye and it additionally results in everlasting vision loss. Retinal photograph evaluation is comprehensively hired in the clinical area for the recognition of abnormalities in the eye. for this reason, it's far important to locate the glaucoma from the attention at an early stage. consequently, segmentation is a significant procedure for automatic glaucoma diagnosis in an accurate manner. a singular technique photo segmentation method is introduced for accurate glaucoma detection with minimal time consumption. initially, the wide variety of fundus snap shots is amassed from the database. The photo segmentation approach accommodates the three important tactics namely preprocessing, segmentation, feature extraction. The photo segmentation technique is carried out for photograph preprocessing to eliminate the noise artifacts and attain the high-quality improved photo. Secondly, the infomax enhance clustering method is applied to section the enter pix into the variety of segments to extract the place of hobby element. subsequently, the exceptional scientific capabilities are extracted from the segmented area and perform the statistical evaluation to pick out the Glaucoma sickness or normal. The proposed photo segmentation approach is carried out the usage of a fundus picture database for qualitative and quantitative analysis. Experimental assessment is finished using a fundus photograph dataset with exceptional parameters along with peak sign to noise ratio, sickness detection accuracy, false-wonderful rate, and disorder detection time with recognize to the variety of photographs. The mentioned consequences demonstrate that the photo segmentation approach achieves higher Glaucoma detection accuracy with minimum time consumption and fake-wonderful price than the nation -of -the -art strategies","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124230775","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: 2

Manual, Internet and Bluetooth all-in-one Smart Home (MIB-AIO) 手动，互联网和蓝牙一体式智能家居(mb - aio)

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410775

Vedant S. Mane, Mihir M. Pandharipande, Hrushikesh J. Joshi, Soham S. Kotalwar

{"title":"Manual, Internet and Bluetooth all-in-one Smart Home (MIB-AIO)","authors":"Vedant S. Mane, Mihir M. Pandharipande, Hrushikesh J. Joshi, Soham S. Kotalwar","doi":"10.1109/ICCIKE51210.2021.9410775","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410775","url":null,"abstract":"In this paper a cost effective, user convenient, wireless (with and without internet) at the same time, manually controlled smart home automation system which can control up to 30 electrical appliances is presented. We propose an idea of a household consisting of a communication network that connects various electrical appliances and facilitates these appliances to be remotely controlled, monitored and accessed using a smartphone application. The proposed system consists of ESP32 microcontroller development board with hybrid (Internet as well as Bluetooth) connectivity for controlling electrical appliances and sensors, by the authorized user remotely using a smartphone application. This will help users to monitor power consumption and parallelly provide full control of all the electronic devices on the smartphone application which can also be controlled with the user’s \"voice\". This paper additionally gives the details of hardware and software architecture, methodologies and algorithms used, scope and future work. The proposed prototype of MIB-AIO which currently enables control over 4 electrical appliances was tested and deployed, and it yielded precise and predicted results.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115118690","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

Geometrical optimization of longitudinal cooling fins for metal hydride based hydrogen storage reactors 金属氢化物储氢反应器纵向冷却翅片的几何优化

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410738

K. Venkata Krishna, Neeraj Paul Manelil, M. Maiya

引用次数: 0

Quantum Machine Learning with HQC Architectures using non-Classically Simulable Feature Maps 使用非经典可模拟特征映射的HQC架构的量子机器学习

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410753

Syed Farhan Ahmad, Raghav Rawat, Minal Moharir

引用次数: 4

Development of Medidrone: A Drone based Emergency Service System for Saudi Arabian Healthcare 医疗无人机的发展:一种基于无人机的沙特阿拉伯医疗急救服务系统

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410685

Nayyar Ahmed Khan, M. Ahmad, S. Alam, Ahmad Masih Uddin Siddiqi, D. Ahamad, Mohammad Nadeem Khalid

引用次数: 3

Leveraging Technology in Central Banking: Macroeconomic Forecasting & Managing Volatility 利用技术在中央银行:宏观经济预测和管理波动

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410771

Anupam Mehrotra, A. Munjal

{"title":"Leveraging Technology in Central Banking: Macroeconomic Forecasting & Managing Volatility","authors":"Anupam Mehrotra, A. Munjal","doi":"10.1109/ICCIKE51210.2021.9410771","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410771","url":null,"abstract":"While there is no doubt about the centrality of a central bank in any economic set up, its role and functions have undergone some changes over last few decades. With total control on the issuance and supply of money and flow of credit in any economy, a central bank can influence the macroeconomic variables of a country and is supposed to use this power to the benefit of the nation and its residents. The task is arduous and the tools are limited. Against this highly simplified backdrop, the application of the latest technology like Big Data, IoT, Artificial Intelligence and Block chain in approaching the central banking objectives is seen to strengthen the hands of the monetary authority in its endeavor to orchestrate the macroeconomic variables and choreograph the movements in general price level and exchange rate in a way as to avoid volatility and ensure a reasonable degree of predictability in the degree and direction of movements of the major economic parameters. The objective of the paper is to explore and describe the potential that the latest technology and empirical tools hold in assisting the central bank in achieving its objectives. It also lays the foundation and opens up the gates for further exploratory research that can be built upon it.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116669301","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

Health and safety Protocols in Chemistry laboratory and its Precursors Disposal with Chemical Incompatibility 化学实验室及其前体不相容处理的健康与安全规程

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/iccike51210.2021.9410763

Nada Balla, Hardeep Kumar, V. P. Mishra

引用次数: 0

Student Interest Group Prediction using Clustering Analysis: An EDM approach 用聚类分析预测学生兴趣群:一种EDM方法

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410741

Vedant Bahel, Shreyas Malewar, Achamma Thomas

引用次数: 7

Image Processing Applications for Sustainable Site Planning in Urban Built Environment 图像处理在城市建筑环境可持续选址规划中的应用

2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2021-03-17 DOI: 10.1109/ICCIKE51210.2021.9410802

Niva Rana Mahanta, A. Samuel, Faiz Ahmed Chundeli

{"title":"Image Processing Applications for Sustainable Site Planning in Urban Built Environment","authors":"Niva Rana Mahanta, A. Samuel, Faiz Ahmed Chundeli","doi":"10.1109/ICCIKE51210.2021.9410802","DOIUrl":"https://doi.org/10.1109/ICCIKE51210.2021.9410802","url":null,"abstract":"As per United States Green Building Council (USGBC) guidelines, sustainable site design tops the list of green design parameters. From a micro-level housing complex or neighborhood planning to a macro-level city planning, it has become mandatory to consider the factors responsible for sustainable designs of building sites. GPS and Remote Sensing are two signal processing applications that are essential tools to help architects, planners, and urban designers in the planning of sites for built spaces. They help to get multi-dimensional digital data required for all site features and characteristics which otherwise can be a very lengthy and complicated process, especially for remote site locations. In site planning, digital image processing is done for the environmental factors, natural factors (geology, topography, hydrology, soil, vegetation, wildlife, etc.), climatic factors, and existing land use. In this study, we evaluate and analyze the application of digital images for sustainable site planning with the help of a case study analysis of Dubai Silicon Oasis in Dubai. Normalized Difference in Vegetation Index (NDVI) and Normalized Difference in Water Index (NDWI) were derived for the case area using Landsat 8 dataset. Seasonal variation in NDVI and NDWI was observed in the study area. In this paper, we highlight the need for the inclusion of image processing applications in early site planning stages to make informed decisions. Appropriate size, shape, and placement of green and water components in the site plan would aid in heat mitigation.","PeriodicalId":254711,"journal":{"name":"2021 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114258206","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: 1