2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)最新文献

Fuzzy Logic Controller Strategy for Ameliorating DC Link Voltage for Grid Connected Hybrid PV-Wind Generation Systems 改善并网光伏-风力发电系统直流链路电压的模糊控制器策略

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708549

K. Sumalatha, E. Muneender

{"title":"Fuzzy Logic Controller Strategy for Ameliorating DC Link Voltage for Grid Connected Hybrid PV-Wind Generation Systems","authors":"K. Sumalatha, E. Muneender","doi":"10.1109/ICSTCEE54422.2021.9708549","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708549","url":null,"abstract":"In order to overcome these disadvantages, hybrid interconnection of Solar and Wind systems is proposed for a three phase grid connections. To improve the system’s functionality, this proposed combination circulation device contains sunlight as well as wind energy systems that need to be combined to the grid at an Aspect of Popular Coupling (PCC). If you want to obtain the greatest electrical power under all weather conditions, an easy Maximum Power Point Monitoring (MPPT) protocol is worked with each photovoltaic and also wind system. The 3 phase diode clamped multilevel inverter, which is handled due to the unclear logic controller (FLC) based upon angle control procedures, is carried out to manage the DC-link at the intended current. The experimentations on accomplished on software application platforms to assess the efficacy of the proposed method. The outcomes display a superior performance of FLC compared with conventional PI controller in improving the step response of dc link voltage. Additionally, this control technique effectively sustains the constant grid voltage and ensures unity power factor regardless to the weather conditions even when combined with the solar-wind hybrid power system’s injected active electricity.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128343056","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

Battery Swapping Mobile Service Station for Electric Vehicles Application 电动汽车换电池移动服务站

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708560

B. Bairwa, Mrinal Sarvagya, Sanjeev Kumar, Arpita Banik

引用次数: 10

Sentiment Analysis on Business Data using Machine Learning 利用机器学习对商业数据进行情感分析

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708593

G. Usha, L. Dharmanna

引用次数: 0

Semi-automated Clinical Staging of Retinopathy of Prematurity Images 早产儿视网膜病变的半自动化临床分期

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708564

S. Kadge, S. Nalbalwar, A. Nandgaonkar, Digvijay Singh

引用次数: 0

A hybrid approach estimates the real-time health state of a bearing by accelerated degradation tests, Machine learning 一种混合方法通过加速退化测试和机器学习来估计轴承的实时健康状态

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708591

P. Patro, R. Azhagumurugan, R. Sathya, K.Vinoth kumar, T. R. Kumar, M. V. S. Babu

引用次数: 4

Family Expenditure and Income Analysis using Machine Learning algorithms 使用机器学习算法的家庭支出和收入分析

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708583

Y. Sri, Y. Sravani, Y. B. S. Surendra, S. Rishitha, M. Sobhana

{"title":"Family Expenditure and Income Analysis using Machine Learning algorithms","authors":"Y. Sri, Y. Sravani, Y. B. S. Surendra, S. Rishitha, M. Sobhana","doi":"10.1109/ICSTCEE54422.2021.9708583","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708583","url":null,"abstract":"Expenditure analysis should be done by every household to manage all the expenses of the family. Income prediction gives an overview of the income earned by the household to manage all the family’s financial needs. Based on the expenses and other required data from the user, the system will predict the user’s annual income to meet the expenses. The predicted annual income can be used by the government for initiating policies for the poor people. This prediction task is performed using Decision Tree and Random Forest Regression algorithms, as the data used for this model is continuous. Our proposed Random Forest model predicts with an accuracy of 74.35%. Based on accuracy metrics, our model is compared with Decision Tree, accuracy of 48%. Clearly, the our proposed model is more suitable for classifying than the Decision Tree model. As decision trees are best suitable for predictions based on non-linear data, we cannot depend on a single decision tree for the prediction of income. Bagging technique-based Random forest Regression is made use for the prediction of the income.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131008988","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

Developing a Bus Functional Model for APB slave using Universal Verification Methodology 应用通用验证方法开发APB从站总线功能模型

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708572

Deekshith Krishnegowda

{"title":"Developing a Bus Functional Model for APB slave using Universal Verification Methodology","authors":"Deekshith Krishnegowda","doi":"10.1109/ICSTCEE54422.2021.9708572","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708572","url":null,"abstract":"Semiconductor chips are manufactured for different end applications. Memory controller chips are used in SSDs, while high-speed ethernet transceivers are used in datacenters. Be it for any end applications, all semiconductor chips consist of internal and external bus protocols. Internal bus protocols such as AMBA AHB, APB, and AXI are used to communicate data within the chip. External bus protocols such as SPI, I2C, and MDIO are used to transfer data in and out of chips using chip input-output ports. Verification of these bus protocols is crucial before taping out the chip else the chip might come out faulty and render useless. Verification of bus protocols can be done using less efficient traditional verification methods or by building a flexible verification environment using Universal Verification Methodology. In addition to that, Bus Functional Model can be developed to make the testbench more reusable. In this paper, the development of APB Bus Functional Model is discussed. The model is later used to do a functional verification of a simple Analog to Digital and Digital to Analog converter interfaced through APB protocol. Simulations are done using Synopsys VCS tool and GTK waveform viewer is used to analyze waveforms.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125148266","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

Energy-efficient Design of Wireless Sensor Mote using Mobile-Edge Computing and Novel scheduling mechanism for self-sustainable Next-gen Cyber Physical System 基于移动边缘计算和新调度机制的下一代网络物理系统节能设计

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708557

Ayaskanta Mishra, A. K. Ray

{"title":"Energy-efficient Design of Wireless Sensor Mote using Mobile-Edge Computing and Novel scheduling mechanism for self-sustainable Next-gen Cyber Physical System","authors":"Ayaskanta Mishra, A. K. Ray","doi":"10.1109/ICSTCEE54422.2021.9708557","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708557","url":null,"abstract":"The recent developments in the field of Internet of Things (IoT) has opened up vast prospects for design, development and deployment of Next-generation Cyber Physical System (NG-CPS). The proposed NG-CPS would have advanced features and functionalities to be future ready for inter-connecting physical-realm with cyber-realm. The vision is to achieve intelligent next-gen IoT-based system by harnessing all key technology enablers like modern low-power and smarter embedded system with support for 5G/6G and beyond wireless network integration to conventional CPS with better and smarter algorithms. In this paper, we have proposed an Energy-efficient self-sustainable wireless sensor mote design for such envisioned NG-CPS. The idea is to split the computational framework of NG-CPS using a Mobile Edge Computing (MEC). Instead of sending real-time raw sensor data to cloud, a Store-Process-Then-Forward (SPTF) mechanism is implemented on Edge device to reduce the wireless trans-receiver duty-cycle hence reducing the energy requirement of sensor mote. Additionally, integrating a solar powered energy harvester to make the wireless sensor mote completely self-reliance in energy requirement. The proposed novel algorithm is validated with help of hardware prototyping and the results shows 720 Joules of energy saving with a consumption of only 700 mW considering 80% power efficiency.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129287748","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

Price Prediction of Agriculture Commodities Using Machine Learning and NLP 基于机器学习和NLP的农产品价格预测

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/ICSTCEE54422.2021.9708582

Girish Hegde, Vishwanath R. Hulipalled, J. B. Simha

{"title":"Price Prediction of Agriculture Commodities Using Machine Learning and NLP","authors":"Girish Hegde, Vishwanath R. Hulipalled, J. B. Simha","doi":"10.1109/ICSTCEE54422.2021.9708582","DOIUrl":"https://doi.org/10.1109/ICSTCEE54422.2021.9708582","url":null,"abstract":"The advancement in communication technology helped a lot for people in rural India. People can access the information over internet and use the smart phone. Majority of the people in India employed with agriculture. But still the farmers are not aware or the technology development in agriculture domain. The major gap is farmers not able to get the details in their local language or the language they are able to understand. Another major issue is farmers are not getting the enough return or good price for the commodities what they produced. They are not having information about the market trend and inter market information. Due to lack of unknown future price, they are not able to take informed decision about when and here to sell their produce. In this paper we proposed a model for forecasting the commodities price using machine learning techniques such as ARIMA, SARIMA, RNN. Also, we proposed a model to build the conversation system, voice bot for Kannada a regional language of Karnataka. With this model farmers in Karnataka will get benefitted with forecasted commodity price and get the information in Kannada. To build the voice bot the Natural Language Processing techniques can be used.","PeriodicalId":146490,"journal":{"name":"2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126967102","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

ICSTCEE 2021 Cover Page ICSTCEE 2021封面

2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) Pub Date : 2021-12-16 DOI: 10.1109/icstcee54422.2021.9708565

引用次数: 0