2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)最新文献

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Ultrasonic Guided Waves for Structural Health Monitoring Applications 超声导波在结构健康监测中的应用
A. Dwarakanath, Anita Agrawal
{"title":"Ultrasonic Guided Waves for Structural Health Monitoring Applications","authors":"A. Dwarakanath, Anita Agrawal","doi":"10.1109/SCEECS48394.2020.138","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.138","url":null,"abstract":"Ultrasonic guided waves present several properties that make them optimal for use in structural health monitoring applications. This paper aims to simulate the behaviour exhibited by these waves in solids, and to experimentally verify their efficacy in detection of various defects in aluminium sheets, with an aim to monitor the structural health of airframes using piezoelectric wafer active sensors as actuators and sensors – primarily to detect fractures, or surface corrosion for advance warning against airframe failures.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124839099","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
SCEECS 2020 Table of Contents SCEECS 2020目录
{"title":"SCEECS 2020 Table of Contents","authors":"","doi":"10.1109/sceecs48394.2020.9087219","DOIUrl":"https://doi.org/10.1109/sceecs48394.2020.9087219","url":null,"abstract":"","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125202071","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 and Performance evaluation of Proposed 2 kW Solar PV Rooftop on Grid System in Odisha using PVsyst 奥里萨邦2kw太阳能光伏屋顶并网系统的设计与性能评价
Kamalesh Chandra Rout, P. Kulkarni
{"title":"Design and Performance evaluation of Proposed 2 kW Solar PV Rooftop on Grid System in Odisha using PVsyst","authors":"Kamalesh Chandra Rout, P. Kulkarni","doi":"10.1109/SCEECS48394.2020.124","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.124","url":null,"abstract":"Main factors driving towards renewable energy are the environmental effects and load demand of electricity. For residential as well as commercial applications, the primary purpose is to determine the methods driven by mathematical models for a grid-tied solar PV system. In Odisha state the average value of solar irradiation is around 1156.39 W/sq. m. So the solar rooftop plant of 1 kWp will generate on yearly basis an average value of 4.8 kWh of electricity per day (taking into account 5.5 sunshine hours). For the generation of 1 kWp, carbon dioxide discharges mitigated is 28 tonnes. So the installation is comparable of planting 45 trees over the life time. In this paper by using PVsyst V6.84 software a case study of 2 kW installation of solar PV plant on rooftop is analyzed for residential load utilization of 8.9 kWh/day. The simulation result gives available AC energy, used energy and excess energy. The generated excess energy is given to the utility grid. Therefore, development of this kind of system provides the green energy for storage and also worthwhile development of the society.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123691321","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: 21
Automatic Object Detection and Separation for Industrial Process Automation 用于工业过程自动化的自动对象检测与分离
Abhishek Shrestha, N. Karki, Rupesh Yonjan, Monica Subedi, S. Phuyal
{"title":"Automatic Object Detection and Separation for Industrial Process Automation","authors":"Abhishek Shrestha, N. Karki, Rupesh Yonjan, Monica Subedi, S. Phuyal","doi":"10.1109/SCEECS48394.2020.195","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.195","url":null,"abstract":"This article presents the novel approach to detect and separate different items in the production line in the industry. This approach uses various sensors to detect the type of object, color and manufacturing defects. The main target is to automate the sorting process of the desired color and material of object to the distinguished zones through the implementation of many independent systems, which are can be integrated into the commercial industries as the large-scale implementation of this approach. As continuous manual sorting creates quality consistency and higher production and time issues, automated systems are preferred. The system rejects the inappropriate materials out of the conveyor line and accepts and places the objects of a similar type to the appropriate container. The user defines the sorting parameter which commands the system to select the required object and LCD display gives information on current operation. With all these efforts the object placed in the conveyor line is dispensed in the correct container or rejected based on the object type which helps to optimize the industrial manufacturing and product separation process.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121857940","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: 5
Machine Learning convergence for weather based crop selection 基于天气的作物选择的机器学习收敛
Sonal Jain, D. Ramesh
{"title":"Machine Learning convergence for weather based crop selection","authors":"Sonal Jain, D. Ramesh","doi":"10.1109/SCEECS48394.2020.75","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.75","url":null,"abstract":"Agriculture plays a vital role in Indian economy. It contributes 18% of total India’s GDP. In India, most of the crops are solely dependent upon weather conditions. Hence, more yield of crops can be achieved by analysing agro-climate data using machine learning techniques. This paper proposes a crop selection method to maximize crop yield based on weather and soil parameters. It also suggests the proper sowing time for suitable crops using seasonal weather forecasting. Machine learning algorithms such as Recurrent neural network is used for weather prediction, and Random forest classification algorithm is used to select suitable crops. The result of proposed weather forecasting technique is compared with conventional Artificial neural network, which shows better performance results for each selected weather parameters.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125060181","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: 29
An Industrial Application Based N2 Gas Digital Pressure Indicator 基于工业应用的N2气体数字式压力指示器
Bhushan Bagwe, Sahil Singh, Sakshi Pimparwar
{"title":"An Industrial Application Based N2 Gas Digital Pressure Indicator","authors":"Bhushan Bagwe, Sahil Singh, Sakshi Pimparwar","doi":"10.1109/SCEECS48394.2020.183","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.183","url":null,"abstract":"Nitrogen comprising 75% of the air is an essential gas if considered for an industrial application. Nitrogen is used in \"PURGING\" process in steel manufacturing industries. PURGING process is totally dependent on gas pressure applied and maintaining the pressure is an essential parameter. In current operating stages analog system is employed due which there are complication in measuring the pressure. In this paper we are presenting experiment based electronic pressure and level indicator, interlocking incorporated in a device. The device is capable of sensing pressure (0 to 176 PSI) and not only sensing but displaying it providing alarm and interlocking in the case of any fault occurs in both the cases (filling and emptying). Experiment of pressure measurement and the performance of the device with different gases has been investigated and laid down in this paper. From different investigation of the device is been seen that device performed extremely well (as compared with the analog measuring device). Hence it is concluded that device gives a best alternative to the current analog system which is cumbersome and inaccurate.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122057507","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
Impact of Distributed Generation in Single area load frequency control on system frequency 单区负荷调频中分布式发电对系统频率的影响
Jyoti Chauhan, B. S. Surjan
{"title":"Impact of Distributed Generation in Single area load frequency control on system frequency","authors":"Jyoti Chauhan, B. S. Surjan","doi":"10.1109/SCEECS48394.2020.77","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.77","url":null,"abstract":"In Power system prime objective is to match both power generated at generation end with power demand at consumer side. However, with development need of consumer is changing load demand incessantly. So, there is a continuous need to monitor and fulfill the load demand. Any mismatch between Power demand and Power generation will affect the system frequency. In modern power system the inclusion of renewable energy sources (RES) has been in rise. The flexibility of installing RES opens up opportunities to energy producers and energy consumers to opt for energy transaction, from economical point of view. Apart from this RES area also associated with impact on existing power systems. In the present paper for load frequency control, isolated Power-System is modeled. The distributed generation has also been modeled and embedded into existing model to observe its impact on Power system Load frequency characteristics. In this paper firstly, Single area load frequency control (LFC) is considered using integral Controller. Secondly, Single area LFC is analyzed with Distributed generation (DG). In both the cases Impact on system frequency is observed using MATLAB Simulink and we get appropriate gain of PI controller and effect of increasing penetration level of DG on system frequency. Also frequency deviations area observed while introducing various controllers in single area LFC with and without DG embedded to the system.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130410721","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: 4
Handwritten Malayalam Character Recognition System using Artificial Neural Networks 基于人工神经网络的手写马拉雅拉姆文字识别系统
Vaisakh V K, Lyla B. Das
{"title":"Handwritten Malayalam Character Recognition System using Artificial Neural Networks","authors":"Vaisakh V K, Lyla B. Das","doi":"10.1109/SCEECS48394.2020.101","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.101","url":null,"abstract":"This paper presents a system that recognizes Malayalam in handwritten form using artificial neural networks. A system for recognizing handwritten text (HCR) is a technique that is used for recognizing human handwritten text in any language. HCR is one of the research areas of recognition of patterns, which is still very challenging as perfect solutions have not yet been found. For certain foreign languages like English, Japanese, Chinese, etc, HCRs have been developed, which are reasonably good. But it is still premature for languages in India, especially for languages in south India. Because of the large character set, compound characters, presence of modifiers, and the curvature of characters in these languages, the task is quite complicated. This project aims to convert the photograph containing handwritten script into corresponding text. In this approach a trained ANN is used to identify the handwritten characters. The recognition system has been developed in python. The OpenCV library is used for performing different operations on the input image.This paper pertains to the first part of a work where individual characters alone are recognized. The continuation of the work which is ongoing, is to recognize complete sentences.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"133 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130905731","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: 3
IV (Intravenous) Tube Flow Control Device with IOT 物联网IV(静脉)管流量控制装置
Mahak Goyal, Kumar Saurav, Gaurav Tiwari, Amit Rege, Ankit Saxena
{"title":"IV (Intravenous) Tube Flow Control Device with IOT","authors":"Mahak Goyal, Kumar Saurav, Gaurav Tiwari, Amit Rege, Ankit Saxena","doi":"10.1109/SCEECS48394.2020.53","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.53","url":null,"abstract":"This project deals with efforts to upgrade the working of existing IV(Intravenous).This is possible by connecting every IV bottle to the Internet using IOT(Internet of Things) technology. So every bottle and basically every patient can be monitored remotely via a website. In this project a Capacitive sensor is used to sense that whether there is fluid available in the bottle or not, if sensors detects air in the bottle, then this data will be send to NodeMCU which will have an actuator connected and actuator on the command of NodeMCU will stop the flow in the tube. This NodeMCU board has WI-FI Capability which will be used to send this data online, to a web server and from that web server data can be accessed by nurses and doctors. This significance of this project is to develop an IV with capabilities so that flow of an IV can automatically stop and a notification will be send to the nurses and doctors such that it will reduce the work of nurses and doctors and also help to reduce the causalities related to IV.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132951754","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: 3
Training RNN and it’s Variants Using Sliding Window Technique 使用滑动窗口技术训练RNN及其变体
Prerit Khandelwal, Jinia Konar, Banalaxmi Brahma
{"title":"Training RNN and it’s Variants Using Sliding Window Technique","authors":"Prerit Khandelwal, Jinia Konar, Banalaxmi Brahma","doi":"10.1109/SCEECS48394.2020.93","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.93","url":null,"abstract":"Recurrent neural networks are a type of neural network which was developed for handling sequential data more efficiently. Unlike feedforward neural networks, RNNs can use their internal state to process input sequences. A recurrent network can be implemented in many ways like Long Short Term Memory cell (LSTM), Gated Recurrent Unit (GRU), multidimensional LSTM, bidirectional LSTM, etc. In this paper, we have implemented variants of RNN. We have trained the models using conventional training technique as well as using a sliding window training technique. Later on in this paper, we have compared these techniques based on their performances and concluded which technique and model produce the best result for different datasets.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116753378","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
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