2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA)最新文献_第9页

A Substitute Solution of Backup Generators for a Microgrid 微电网备用发电机的替代方案

2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2021-12-17 DOI: 10.1109/iccca52192.2021.9666433

Rashid Howlader, Ryuto Shigenobu, Md. Rabiul Islam, F. Al-Ismail, R. Shaw, T. Senjyu

{"title":"A Substitute Solution of Backup Generators for a Microgrid","authors":"Rashid Howlader, Ryuto Shigenobu, Md. Rabiul Islam, F. Al-Ismail, R. Shaw, T. Senjyu","doi":"10.1109/iccca52192.2021.9666433","DOIUrl":"https://doi.org/10.1109/iccca52192.2021.9666433","url":null,"abstract":"This research proposes a smart microgrid installation and operation for an island by introducing ship's generators as a backup generator. On a small island, it is challenging to run big loads such as tower cranes and big motors, which are very necessary for the island's industrial development. Besides, photovoltaic (PV) and wind turbine generator (WG) output power output depends on weather conditions. So, the uncertainty of PV generations is a common drawback that is very difficult to tackle. Sometimes, due to a huge drop in renewable generators, the backup generators need to run. Even the backup generator ensures a certain time of resilience for a microgrid during the time of any unexpected moment. The installation of a backup generator involves a lot of costs. Also, to run a fossil fuel-based generator needs fuel transportation costs. Therefore, the proposed scheme introduces the ship's generators as backup generators to reduce a large number of installation costs. Every day, there are some passenger ships and fishing ships available at their seaport on the island. They have a high-power generator, which might be available for giving power to the grid during the grid shortage. The proposed microgrid consists of PV, WG, smart house (SH), battery energy storage system (BESS), thermal generator, and backup ship's generators. Finally, the MATLAB INTLINGPROG optimization toolbox is utilized to optimally minimize the operation cost of the microgrid.","PeriodicalId":399605,"journal":{"name":"2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124281696","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

Reliable Control Framework For Seamless Functionality of Wind-PV-Battery-DG-Based Residential Microgrid 基于风能-光伏-电池- dg的住宅微电网无缝运行的可靠控制框架

2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2021-12-17 DOI: 10.1109/iccca52192.2021.9666383

Farheen Chishti, Bhim Singh

引用次数: 0

Future Internet of Things: A Framework for Next Generation Smart Cities 未来物联网:下一代智慧城市的框架

2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2021-12-17 DOI: 10.1109/iccca52192.2021.9666401

Raheel Hassan, A. Sagar, Latha Banda

{"title":"Future Internet of Things: A Framework for Next Generation Smart Cities","authors":"Raheel Hassan, A. Sagar, Latha Banda","doi":"10.1109/iccca52192.2021.9666401","DOIUrl":"https://doi.org/10.1109/iccca52192.2021.9666401","url":null,"abstract":"The use of big data has grown so faster that if we will look around, we are sending data, receiving data; that means we can find data everywhere. In the past few years, a sudden growth of population has been observed and for handling this large amount of data, big data is being used. For making our cities smarter we need to work on big data and not only big data but the emerging technologies that is; internet of things (IoT) and artificial intelligence. IoT gadgets that may include sensors, actuators, smart phones and smart machines that work on artificial intelligence to get the response we want, and big data obviously, to extract the data from the devices and systems. While observing our surroundings, we can see IoT and big data everywhere like as in healthcare, transportation, cities, banks, schools, universities, commercial industries and everywhere. To meet these all things, lot of researchers have proposed a complete system for IoT based big data systems that may include smart buildings, smart transportation networks, smart irrigation systems and what not! In this paper we will look how artificial intelligence and IoT based big data systems can help the cities smarter to the high-level next gen smart cities. For this we will be looking into the architecture and the proposed model to meet all these requirements.","PeriodicalId":399605,"journal":{"name":"2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114909368","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

Optimize Model of Hybrid Renewable System with Minimum Power Fluctuation Rate 功率波动率最小的混合可再生能源系统优化模型

2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2021-12-17 DOI: 10.1109/ICCCA52192.2021.9666352

Ingudam Chitrasen Meitei, Rajen Pudur

引用次数: 0

Synchronization of Solar PV Array-BES Microgrid to AC Grid for Buildings Application 太阳能光伏阵列- bes微电网与建筑交流电网同步应用

2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2021-12-17 DOI: 10.1109/iccca52192.2021.9666384

Ankit Kumar, V. Narayanan, Bhim Singh

引用次数: 0

Solar Integrated Wireless Drone Charging System for Smart City Applications 智能城市应用太阳能集成无线无人机充电系统

2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2021-12-17 DOI: 10.1109/ICCCA52192.2021.9666263

Prithvi Krishna Chittoor, C. Bharatiraja

{"title":"Solar Integrated Wireless Drone Charging System for Smart City Applications","authors":"Prithvi Krishna Chittoor, C. Bharatiraja","doi":"10.1109/ICCCA52192.2021.9666263","DOIUrl":"https://doi.org/10.1109/ICCCA52192.2021.9666263","url":null,"abstract":"Drone has taken over the market by storm, with sales of $14.1b in 2018 to over $22.5b in 2021 and is expected to grow to $42.8b by 2025. Photography and Nature documentary have drastically changed with the integration of drone technology. Smart cities are equipping themselves with surveillance drones for safety and monitoring applications. However, a drone is a power-hungry device that exhausts its battery within a few minutes. Therefore, they have to be recharged frequently or replace the exhausted battery with a charged one. The battery swapping process requires human intervention and thus limits the autonomous drone application. To make a drone fully autonomous, Wireless Power Transfer (WPT) using the Inductive Power Transfer (IPT) technique was adopted in this study. IPT allows power transfer to a few centimetres efficiently with few losses. The proposed WPT for the drone system was practically implemented with the incorporation of solar cells. The system was tested under different solar lighting conditions to charge the drone's battery efficiently. At 0 cm lateral misalignment and 7 mm vertical alignment, the average power transferred was approximately 13W at 88.5% efficiency. The drone battery was fully charged in 22 minutes at a fast-balance charging condition. Comparison results provide insight into the deployability of the autonomous WPT drone charging in remote areas.","PeriodicalId":399605,"journal":{"name":"2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130210516","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

Construction of Lightweight Content key Distribution Framework for DRM systems DRM系统轻量级内容密钥分发框架的构建

2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2021-12-17 DOI: 10.1109/iccca52192.2021.9666245

D. Mishra, Abhijit Kasi, M. Obaidat, Purva Rewal, Ankita Mishra

{"title":"Construction of Lightweight Content key Distribution Framework for DRM systems","authors":"D. Mishra, Abhijit Kasi, M. Obaidat, Purva Rewal, Ankita Mishra","doi":"10.1109/iccca52192.2021.9666245","DOIUrl":"https://doi.org/10.1109/iccca52192.2021.9666245","url":null,"abstract":"Digital content piracy has become a big challenge after the advancement in network and digital technologies. digital rights management (DRM) systems were introduced to regulate content distribution. Protocols are being designed to ensure secure and efficient communication in DRM systems. Both security and efficiency are important parameters and should travel together. During our analysis, we identified that much efficient content key delivery mechanism fails to achieve desired security parameters. Thus, it is required to work on efficient protocols design. We have worked on the design of the efficiency of the content delivery mechanism without diluting security. The proposed scheme presents an anonymous content key delivery mechanism. We analyze the security of the scheme. We verify the security against replay attacks and man-in-the-middle attacks using the formal verification simulation tool AVISPA, which indicates that the scheme is safe. The analysis of performance is done, which includes the computation cost at the user and server end. The comparative study of performance is also included to identify the improvement at efficiency side.","PeriodicalId":399605,"journal":{"name":"2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124598704","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

Cauliflower Leaf Disease Detection Using Computerized Techniques 利用计算机技术检测花椰菜叶病

2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2021-12-17 DOI: 10.1109/iccca52192.2021.9666437

Taslima Yesmin Orin, Mayen Uddin Mojumdar, Shah Md. Tanvir Siddiquee, Narayan Ranjan Chakraborty

{"title":"Cauliflower Leaf Disease Detection Using Computerized Techniques","authors":"Taslima Yesmin Orin, Mayen Uddin Mojumdar, Shah Md. Tanvir Siddiquee, Narayan Ranjan Chakraborty","doi":"10.1109/iccca52192.2021.9666437","DOIUrl":"https://doi.org/10.1109/iccca52192.2021.9666437","url":null,"abstract":"Crop cultivation is an important role in the agriculture industry. Presently, food loss is primarily caused by sick crops, which affects growth rate and increase. High yield depends a lot on its growth. However, now crop leaf disease has become a significant problem in agriculture as a result of which the quality and growth rate of yield in agriculture is declining day by day. Through this paper, we have tried to diagnose the leaf disease of a particular crop (cauliflower). In this study, we collected data from each cauliflower leaf and created a dataset, and we divided our study was split into two sections: leaf disease detection and machine learning techniques. To detect leaf disease, we have used Matlab and various algorithms of classic machine learning such as Nav Bayes (NB), Decision Tree (TT), Random Forest (RF), Support Vector Machine (SVM), Secular Minimal Optimization (SMO). For each, we determined the accuracy, retraction, F-measurement, accuracy, and ROC values classification. This paper describes a simple but effective technique for reviewing leaf disease detection evidence and applying it to image processing and computer vision.","PeriodicalId":399605,"journal":{"name":"2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126778714","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

Analysis of tie grid 30 kW Solar Project 并网30kw太阳能项目分析

2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2021-12-17 DOI: 10.1109/iccca52192.2021.9666284

Samiullah Sherzay, R. Perveen

引用次数: 0

Deep Learning Algorithms are used to Automatically Detection Invasive Ducal Carcinoma in Whole Slide Images 利用深度学习算法自动检测整个幻灯片图像中的浸润性导管癌

2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2021-12-17 DOI: 10.1109/ICCCA52192.2021.9666302

Krishna Mridha, Smit Kumbhani, Suman Jha, Dhara Joshi, Ankush Ghosh, R. Shaw

{"title":"Deep Learning Algorithms are used to Automatically Detection Invasive Ducal Carcinoma in Whole Slide Images","authors":"Krishna Mridha, Smit Kumbhani, Suman Jha, Dhara Joshi, Ankush Ghosh, R. Shaw","doi":"10.1109/ICCCA52192.2021.9666302","DOIUrl":"https://doi.org/10.1109/ICCCA52192.2021.9666302","url":null,"abstract":"This paper proposes a profound learning approach in Whole-slide images of breast cancer (WSI) for automatic detection and visual study of invasive ductal cancer (IDC) tissue regions. Deep learning techniques are strategies for learning from data including the computer simulation of the learning process. The diagnosis of invasive breast cancer is a time-contracting process, particularly when a pathologist scans vast sections of benign areas to find malignancy areas. Accurate line-up IDC in WSI is critical for subsequent tumor grading and patient outcomes assessment. Artificial Intelligence approaches are especially suitable for managing such problems, particularly if large numbers of samples for training are available, thereby ensuring that the main differentiator and classifier are generalized. The system for visual functional study of tumor regions in this article includes a range of Deep Learning algorithms for instance Artificial Neural Networks (ANNs) and Convolution Neural Networks (CNNs) to facilitate the diagnosis. The procedure has been tested using a WSI sample of 162 IDC patients among the images 113 teaching slides and 49 independent examination slides were chosen. The experimental assessment was planned to detect IDC tissue areas in WSI with classificatory precision. 10-fold cross-validation was used to evaluate how the effects of our classificatory are generalized on our data package, of which 80% of data are used for preparation and 20% for checking in each fold. We have obtained an 81.56 percent average sensitivity for detecting invasive ducal carcinoma in whole-slide images before using some regularization techniques. The exactness of our model efficiency has been increased to 86.24 percent, respectively after application of image increase and regularization. The findings show how successful our custom architecture is to classify invasive dual carcinoma detection in whole-slide pictures.","PeriodicalId":399605,"journal":{"name":"2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127969155","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: 10