2021 International Conference on Industrial Electronics Research and Applications (ICIERA)最新文献_第6页

A Real-time Predictive Energy Management Strategy for Power-split Plug-in Hybrid Electric Bus 插电式混合动力客车实时预测能量管理策略

2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/ICIERA53202.2021.9726733

Ruchen Huang, Hongwen He, Xiangfei Meng

引用次数: 0

Predicting Standings in F1 Sports Driver's Championship using Lasso Penalised Regression 用Lasso惩罚回归预测F1车手锦标赛排名

2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/ICIERA53202.2021.9726535

Rahul Rana, Devang Pandey, S. Mishra, Neelam Nehra, Deepti Deshwal, P. Sangwan

引用次数: 0

Intelligent Waste Management for Smart Cities 智慧城市的智能废物管理

2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/ICIERA53202.2021.9726729

Nimisha Mittal, Priyanjali Singh, Prerna Sharma

{"title":"Intelligent Waste Management for Smart Cities","authors":"Nimisha Mittal, Priyanjali Singh, Prerna Sharma","doi":"10.1109/ICIERA53202.2021.9726729","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726729","url":null,"abstract":"With accelerated technology development, much focus has shifted towards a green economy, concentrating on sustainability, recycling, and reuse. A smart waste collection is the center of a smart waste management system and an intelligent bin is a pivot for any step towards the development of an Integrated Platform for Waste Management. This paper presents an IoT-based smart dustbin that is capable of integrating with contemporary society as well as catering to future smart cities. The proposed implementation presents an end-to-end scalable solution for disposal as well as collection and transfer. Beyond just bin level detection, the smart bin can also detect odor and flames inside the bin, ensure bin safety, consider the weight capacity of the container, and provide a non-touch interface for disposal to ensure hygiene. The proposed system resolves the nuisances of spilling garbage bins, ill-maintained bins, untimely and unorganized collection. Insightful data is collected to facilitate future ventures. The paper also attempts to highlight some of the prevailing hurdles in devising and achieving sustainable development plans.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123285721","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

Home Environment Monitoring System with an Alert 带有警报的家庭环境监测系统

2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/ICIERA53202.2021.9726745

V. Singh, Rishika Anand, Dhruv Anand, Vaibhav Nijhawan

引用次数: 2

An IoT based Real-Time detection and Notification System for an Economical Solar MPPT Model 基于物联网的经济型太阳能MPPT实时检测与通知系统

2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/ICIERA53202.2021.9726727

Aanchal Katyal, Diwaker Pathak, P. Gaur

{"title":"An IoT based Real-Time detection and Notification System for an Economical Solar MPPT Model","authors":"Aanchal Katyal, Diwaker Pathak, P. Gaur","doi":"10.1109/ICIERA53202.2021.9726727","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726727","url":null,"abstract":"The intelligent solar photovoltaic (SPV) system, the reduced size and flexible applicability is highly required for the areas where per capita income is lower and cost becomes a crucial issue. Therefore, in this paper, an easier model of the internet of things (IoT) based SPV system is designed and proposed along with the application of basic maximum power point tracking (MPPT) methods. Consequently, a better time-response characteristics, accuracy, efficiency and economical value are obtained. To achieve this, firstly, a single-diode SPV system with boost converter topology is used that was previously designed in literature. Further, easy-structured perturb & observe (P&O) and incremental conductance (IC) MPPT methods are analyzed using a low-cost Arduino Uno board in Proteus software, where, these MPPT algorithms are executed under the convincing profiles of irradiance. Above all, the obtained PV power, PV voltage, humidity, air quality, rain, obstacle etc. are monitored using the particular sensors and displayed on the internet with the exact coordinates of the location. Based on the data sensed from the various sensors, an alert system via email is also developed that ensures the desired outcome along with reduced manpower for the system studied.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128422742","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

Design of Substrate Integrated Waveguide (SIW) Slot Antenna for Millimeter-wave 5G Application 面向毫米波5G应用的基板集成波导(SIW)槽天线设计

2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/ICIERA53202.2021.9726760

U. Singh, R. Mishra

引用次数: 1

Material Perturbation in Rectangular Dielectric Resonator Antenna Using Neural Network 基于神经网络的矩形介质谐振器天线材料摄动

2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/ICIERA53202.2021.9726731

N. Sehrawat, B. Kanaujia, Anshul Agarwal

引用次数: 1

An Anatomization for Classification Skin Lesion Using Custom CNN Framework 基于自定义CNN框架的皮肤病变解剖分类

2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/ICIERA53202.2021.9726752

Shubham Gupta

{"title":"An Anatomization for Classification Skin Lesion Using Custom CNN Framework","authors":"Shubham Gupta","doi":"10.1109/ICIERA53202.2021.9726752","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726752","url":null,"abstract":"A skin lesion is a growth or appearance anomaly in the dermis that is different from the rest of the body. A tiny scratch or something more serious like skin cancer might be completely unnoticeable. The use of deep learning (DL) architectures for image categorization in several fields, including dermatology, has shown impressive results. The expectations produced by DL for applications like image-based diagnostics have necessitated that non-experts become acquainted with algorithms’ working principles. Obtaining hands-on experience using these tools through a simplified however realistic method, in our opinion, may significantly aid in their intuitive comprehension. Even students without a strong mathematical background may understand concepts like convolution by seeing the outcomes of DL algorithms’ operations on dermatological images. Furthermore, the ability to fine-tune hyperparameters & even computer code expands the reach of basic intuitive understanding of these methods without having complex computational & theoretical skills. It is now feasible because of recent technology advancements that have lowered technical & technological obstacles associated with usage of these tools, creation them available to a larger population. So, we present a custom CNN for training a CNN on a dataset that contains skin lesions images linked by distinct skin cancer groups. Activity is open-source & doesn't need any additional software to be installed to use it. Additionally, we describe the algorithm and its functions in detail, starting with the creation of the basic computer code building blocks and leading the reader through the execution of real-world examples, comprising visualization & assessment of results. We get a training accuracy of 100 percent & a validation accuracy of 98.32 percent using this method.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125732721","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