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A STUDY ON THE INFLUENCE FACTORS OF CITIZENSHIP AND ATTACHMENT ON SMART CITY ACCEPTANCE INTENTION FOR SUSTAINABLE DEVELOPMENT : FOCUSING ON INNOVATION RESISTANCE MODEL 公民身份和依恋对智慧城市可持续发展接受意愿的影响因素研究——以创新阻力模型为中心
Q4 Energy Pub Date : 2021-05-25 DOI: 10.34218/ijeet.12.5.2021.007
S. Jang, J. Yeon
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引用次数: 0
AUTOMATIC LICENSE PLATE RECOGNITION USING YOLOV4 AND TESSERACT OCR 自动车牌识别使用yolov4和tesseract OCR
Q4 Energy Pub Date : 2021-05-24 DOI: 10.34218/ijeet.12.5.2021.006
Adarsh Sai Daivansh Sham, Paritosh Pandey, Sambhav Jain, S. Kalaivani
In modern times the quantity of on road vehicles is expanding very quickly. Most of the time, it is important to verify the identity of these vehicles for authorization of the transit regulation, overseeing parking garages. it is hard to check this colossal number of moving vehicles physically. Subsequently, building up a precise automatic license plate recognition model (ALPR) including character recognition is important to ease the issues mentioned above. We have developed a model based on multiple types of license plates from different countries. The dataset of images was trained using Yolov4 which uses CNN architectures. Character recognition was done using the Tesseract OCR after multiple image pre-processing techniques and morphological transformations. The proposed program has obtained an accuracy of 92% in license plate detection and 81% in character recognition.
在现代,公路车辆的数量正在迅速增加。大多数时候,重要的是要验证这些车辆的身份授权的过境法规,监督停车场。要对这么多移动的车辆进行物理检查是很困难的。因此,建立包括字符识别在内的精确车牌自动识别模型对于缓解上述问题具有重要意义。我们开发了一个基于不同国家的多种类型车牌的模型。图像数据集使用使用CNN架构的Yolov4进行训练。通过多种图像预处理技术和形态学变换,利用Tesseract OCR进行字符识别。该算法在车牌检测和字符识别方面的准确率分别达到92%和81%。
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引用次数: 1
MULTIPLE PLANT LEAF DISEASE CLASSIFICATION USING DENSENET-121 ARCHITECTURE 基于densenet-121结构的多种植物叶片病害分类
Q4 Energy Pub Date : 2021-05-24 DOI: 10.34218/ijeet.12.5.2021.005
Aswin S. Vellaichamy, A. Swaminathan, C. Varun, S. Kalaivani
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引用次数: 8
DEEP METALLIC SURFACE DEFECT DETECTION  深层金属表面缺陷检测
Q4 Energy Pub Date : 2021-05-22 DOI: 10.34218/ijeet.12.5.2021.004
K. Sunitha, S. Reddy
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引用次数: 0
ROBUST DELAY-DEPENDENT STABILITY FOR TAKAGI-SUGENO FUZZY SYSTEMS WITH MIXED TIME-VARYING DELAYS 混合时变时滞takagi-sugeno模糊系统的鲁棒时滞相关稳定性
Q4 Energy Pub Date : 2021-05-11 DOI: 10.34218/ijeet.12.5.2021.003
M. Parimala, R. Preetha, A. Manivannan
{"title":"ROBUST DELAY-DEPENDENT STABILITY FOR TAKAGI-SUGENO FUZZY SYSTEMS WITH MIXED TIME-VARYING DELAYS","authors":"M. Parimala, R. Preetha, A. Manivannan","doi":"10.34218/ijeet.12.5.2021.003","DOIUrl":"https://doi.org/10.34218/ijeet.12.5.2021.003","url":null,"abstract":"","PeriodicalId":36497,"journal":{"name":"International Journal of Electrical Engineering and Technology","volume":"102 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72376360","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
AN EFFECTIVE MECHANISM FOR SECURING AND MANAGING PASSWORD USING AES-256 ENCRYPTION & PBKDF2 使用aes-256加密和pbkdf2保护和管理密码的有效机制
Q4 Energy Pub Date : 2021-05-04 DOI: 10.34218/ijeet.12.5.2021.001
Rajeshree Khande, Shubhangee Ramaswami, Ch.S.K.V.R Naidu, N. Patel
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引用次数: 0
ADAPTING DIGITAL BANKING SERVICES DURING COVID-19 PANDEMIC: A STUDY ON CUSTOMER EXPERIENCES IN SELECTED DISTRICT OF MAHARASHTRA STATE, INDIA 在COVID-19大流行期间调整数字银行服务:对印度马哈拉施特拉邦选定地区客户体验的研究
Q4 Energy Pub Date : 2021-05-04 DOI: 10.34218/ijeet.12.5.2021.002
S. Ramaswamy, Rajeshree Khande, Y. S. Patil, Parag Kalkar
{"title":"ADAPTING DIGITAL BANKING SERVICES DURING COVID-19 PANDEMIC: A STUDY ON CUSTOMER EXPERIENCES IN SELECTED DISTRICT OF MAHARASHTRA STATE, INDIA","authors":"S. Ramaswamy, Rajeshree Khande, Y. S. Patil, Parag Kalkar","doi":"10.34218/ijeet.12.5.2021.002","DOIUrl":"https://doi.org/10.34218/ijeet.12.5.2021.002","url":null,"abstract":"","PeriodicalId":36497,"journal":{"name":"International Journal of Electrical Engineering and Technology","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87336949","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
Research and prospect of fan blade fault detection technology based on SCADA data 基于SCADA数据的风机叶片故障检测技术研究与展望
Q4 Energy Pub Date : 2021-01-01 DOI: 10.35534/eet.0203011
Jiang Zhiwei, Li Yongjian
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引用次数: 0
Research on LDPE for HV/EHVDC Cable Insulation Material 高压/超高压直流电缆绝缘材料的研究
Q4 Energy Pub Date : 2021-01-01 DOI: 10.35534/eet.0202006
Li Shujun, Wu Qiren, Zeng Hao, G. Kai
{"title":"Research on LDPE for HV/EHVDC Cable Insulation Material","authors":"Li Shujun, Wu Qiren, Zeng Hao, G. Kai","doi":"10.35534/eet.0202006","DOIUrl":"https://doi.org/10.35534/eet.0202006","url":null,"abstract":"","PeriodicalId":36497,"journal":{"name":"International Journal of Electrical Engineering and Technology","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89503103","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
COMPARATIVE ANALYSIS OF STABILITY AND DIELECTRIC BREAK DOWN STRENGTH OF TRANSFORMER OIL BASED NANOFLUIDS 变压器油基纳米流体稳定性和介电击穿强度的比较分析
Q4 Energy Pub Date : 2020-07-31 DOI: 10.34218/ijeet.11.5.2020.013
S. Babu, P. R. Babu
Transformer oil is used as insulating as well as heat transfer liquid. If it is used for a long time it may loses its insulation and heat transfer characteristics. Nanofluids are the recent generation heat transfer fluids which are made by dispersing the nanoparticles in the required proportion to improve its properties. In the present study, breakdown strength and stability are measured for transformer oil based SiO2, Al2O3, TiO2 nanofluids for various concentrations. It is observed that the breakdown strength increases with increase in the nanoparticle volume fixation up to a particular concentration and then it starts decreasing. Among the three types of nanofluids, transformer oil-Al2O3 nanofluid got the better performance in terms of breakdown strength and stability in terms of zeta potential value. Transformer oil-Al2O3 nanofluid showed the superior improvement in breakdown strength 32 i.e., from 50 kV to 68 % kV at 0.06 % volume fraction and zeta potential value is increased from 22 mV to 28 mV which is 27%.
变压器油用作绝缘和传热液。如果长时间使用,它可能会失去其绝缘和传热特性。纳米流体是新一代的传热流体,它是通过将纳米颗粒按一定比例分散以改善其性能而制成的。在本研究中,测试了变压器油中不同浓度的SiO2、Al2O3、TiO2纳米流体的击穿强度和稳定性。在一定浓度下,随着纳米颗粒体积固定的增加,击穿强度逐渐增大,然后开始减小。在三种纳米流体中,变压器油- al2o3纳米流体在击穿强度和zeta电位值稳定性方面表现较好。变压器油- al2o3纳米流体在体积分数为0.06%时击穿强度从50 kV提高到68% kV, zeta电位值从22 mV提高到28 mV,提高了27%。
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引用次数: 1
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International Journal of Electrical Engineering and Technology
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