2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)最新文献_第2页

Investigation of Pollution Severity and Dry Band Characteristics on 11kV Composite Insulator 11kV复合绝缘子污染程度及干带特性研究

2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE) Pub Date : 2020-12-10 DOI: 10.1109/ICADEE51157.2020.9368945

K. Kumar, R. V. Maheswari, B. Vigneshwaran

{"title":"Investigation of Pollution Severity and Dry Band Characteristics on 11kV Composite Insulator","authors":"K. Kumar, R. V. Maheswari, B. Vigneshwaran","doi":"10.1109/ICADEE51157.2020.9368945","DOIUrl":"https://doi.org/10.1109/ICADEE51157.2020.9368945","url":null,"abstract":"Composite insulators have been extensively used in power sector because of its superior hydrophobicity property. The outstanding electrical and mechanical property makes the better dielectric material for producing such high voltage composite insulators. This paper investigates the flashover mechanism of 11kV composite insulators under various polluted and dry band conditions. The factors influencing the flashover voltage like leakage distance, location of dry band, geometric profile of insulator was also investigated. The pollution tests were carried out based on solid layer method and the average flashover voltage was obtained using even rising method based on IEC 60507. The NaCl: kaolin ratio was taken under 5:10,10:10,15:10 and 20:10 where the kaolin ratio was maintained constant. To verify the severity of the pollution obtained from the test results it is compared with IEEE standard. The outcome of this study provides a better knowledge regarding the flashover mechanism of composite insulator under polluted dry band conditions which can be used to improve the existing methodology and useful reference for design and operation of insulators under contaminated conditions.","PeriodicalId":202026,"journal":{"name":"2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127206600","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

Portable Assistive system for Visually Impaired using Raspberry Pi 使用树莓派的视障人士便携式辅助系统

2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE) Pub Date : 2020-12-10 DOI: 10.1109/ICADEE51157.2020.9368930

S. Lakshmanan, Divya B, N. K, Annamalai M, P. T, Sanju varshini T

引用次数: 0

Designing a Text-based CAPTCHA Breaker and Solver by using Deep Learning Techniques 利用深度学习技术设计基于文本的验证码破解和求解器

2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE) Pub Date : 2020-12-10 DOI: 10.1109/ICADEE51157.2020.9368949

P. Umamaheswari, S. Ezhilarasi, P. Harish, B. Gowrishankar, S. Sanjiv

{"title":"Designing a Text-based CAPTCHA Breaker and Solver by using Deep Learning Techniques","authors":"P. Umamaheswari, S. Ezhilarasi, P. Harish, B. Gowrishankar, S. Sanjiv","doi":"10.1109/ICADEE51157.2020.9368949","DOIUrl":"https://doi.org/10.1109/ICADEE51157.2020.9368949","url":null,"abstract":"Text-based CAPTCHAs are most commonly used by various websites to distinguish between humans and computers. It is used as a security measure. This work consists of a dynamic approach that is proposed to predict Text-based CAPTCHAs that challenges the supposition that they cannot be solved by computers. Three types of CAPTCHAs namely Rotated, Noisy Arc, Complicated Background have been taken. The CAPTCHAs are pre-processed based on their type. Different pre-processing techniques like Erosion, Dilation, Binarization are used to remove the noise from the CAPTCHA. The pre-processed CAPTCHAs are then fed to the Convolutional neural network (CNN) which generates a feature vector. This feature vector is then passed to the long short term memory (LSTM) which generates a sequence of characters. This sequence is displayed as outcome to the user. The dataset for Rotated, Noisy Arc, Complicated Background CAPTCHAs consisted of 9,955, 1,070 and 1,000 images respectively. The model was also tested for CAPTCHAs involving a combination of different resistance mechanisms. The model was able to predict Rotated CAPTCHAs with an accuracy of 85.97%, Noisy Arc CAPTCHAs with an accuracy of 84.52% and Complicated BackgroundCAPTCHAswithanaccuracyof82.91 %.","PeriodicalId":202026,"journal":{"name":"2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129192431","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

Assessment of Fetal Biometry Using Ultrasound Images 利用超声图像评估胎儿生物特征

2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE) Pub Date : 2020-12-10 DOI: 10.1109/ICADEE51157.2020.9368917

M. R, N. K, Vijay Kumar, D. B

引用次数: 0

Design of CSRR Based Tri Band Pass Filter for RF Communication 基于CSRR的射频通信三带通滤波器设计

2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE) Pub Date : 2020-12-10 DOI: 10.1109/ICADEE51157.2020.9368953

S. Gagare, Dolly Thankachan

{"title":"Design of CSRR Based Tri Band Pass Filter for RF Communication","authors":"S. Gagare, Dolly Thankachan","doi":"10.1109/ICADEE51157.2020.9368953","DOIUrl":"https://doi.org/10.1109/ICADEE51157.2020.9368953","url":null,"abstract":"Now a days multiband microwave communication system is used in wireless applications. In most of the RF receiver using conventional type micro strip band pass filter, the noise interference problem due to harmonics and spurious frequencies are occurred. Also to reduce the size and noise interference problem, multiband reconfigurable band pass filter is suitable for high frequency wireless communication [4]. The single substrate can be used in a multi band communication system. The switching between multiple band frequency operations is possible due to frequency reconfiguration technique. Due to single substrate for multiband frequency, size of the filter is also reduces. This research work presents a use of complementary split ring resonator (CSRR) micro strip structure for design of tri band pass filter for frequency reconfigurations. The pass band characteristics are improved by using square type CSRR structure also it reduces the size of filter. The aim of this paper is to present the design of triple band pass filter operated on frequencies at 2.45 GHz for ISM, 3.3GHz for Wi-MAX and 5.5GHz for WLAN applications used as a reconfigurable band pass filter. The square type complementary split ring resonator (CSRR) structure is used. The design parameters like strip width, length and resonator gap are on the basis of half wavelength. The simulation software, HFSS is used for design and analysis of this filter.","PeriodicalId":202026,"journal":{"name":"2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121542061","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

A study on deep learning approaches over Malware detection 基于深度学习的恶意软件检测方法研究

2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE) Pub Date : 2020-12-10 DOI: 10.1109/ICADEE51157.2020.9368924

P. Kavitha, B. Muruganantham

引用次数: 2

Image Overlays on a video frame Using HOG algorithm 利用HOG算法对视频帧进行图像叠加

2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE) Pub Date : 2020-12-10 DOI: 10.1109/ICADEE51157.2020.9368931

V. Harika, S. S.

引用次数: 3

Exploratory Data Analysis using Artificial Neural Networks 利用人工神经网络进行探索性数据分析

2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE) Pub Date : 2020-12-10 DOI: 10.1109/ICADEE51157.2020.9368922

S. D, K. K., Ulagapriya K, S. A, Sajeevram A

{"title":"Exploratory Data Analysis using Artificial Neural Networks","authors":"S. D, K. K., Ulagapriya K, S. A, Sajeevram A","doi":"10.1109/ICADEE51157.2020.9368922","DOIUrl":"https://doi.org/10.1109/ICADEE51157.2020.9368922","url":null,"abstract":"Data analysis helps travel organizations to provide better recommendations for investing in their future trips based on its business and personal trips. This paper presents the basic concepts, various types and levels of data analysis, predictive modeling techniques and appropriate performance measures. There are basically three types of algorithms for predicting such as linear regression (machine learning model), analysis of Variance (statistical model) and artificial neural network (machine learning model). Data Analysis is being used in many fields such as health care, manufacturing, information technology and so on. A travel dataset provided by the uber in Kaggle is used to study the performance of chosen predicting algorithms. The primarymethodology behind this study is to analyze and find the accuracy of the most frequent category of trip among all trips taken by a customer in a region using data analysis. The parameters which are taken into consideration are category, purpose, total distance and speed of the travel. The results of precision, recall, f1 score, Area Under Curve (AUC) and Receiver Operating Characteristic Curve (ROC) are evident that the Artificial neural network (ANN) based prediction is comparatively higher than other algorithms.","PeriodicalId":202026,"journal":{"name":"2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116686733","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

Enhancement of Transient Stability in Power System with Multi-Machine Using Facts Device 利用Facts装置多机增强电力系统暂态稳定性

2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE) Pub Date : 2020-12-10 DOI: 10.1109/ICADEE51157.2020.9368921

R. V. Kumar, T. Rammohan

{"title":"Enhancement of Transient Stability in Power System with Multi-Machine Using Facts Device","authors":"R. V. Kumar, T. Rammohan","doi":"10.1109/ICADEE51157.2020.9368921","DOIUrl":"https://doi.org/10.1109/ICADEE51157.2020.9368921","url":null,"abstract":"After a sudden disturbance if an interconnected power system can maintain and regain synchronism is considered to be transiently stable Owing to the increasing pressure in electrical system networks, analysis of transient stability has recently become a major controversy in the operation of electrical systems. Electrical system's one of the most irrefutable stability is Transient stability. Overloading the some of the lines (or due to sever line fault) as a signification of tripping off of the other lines after fault or huge load losses leads to power system loss its transient stability. In the perception of transient stability, the rotor angle stability is considered as directory, in which the function of insecurities and functional condition deals with the capability of the system to persist intact after being related to irregular deviations. After the fault is detached the system parameters settle down to approximately steady state values with time for a given fault then the system is called to be synchronously stable. The modern inclination is to employ FACTS devices in the surviving system for actual exploitation of prevailing resources of transmission. These FACTS devices subsidies to improvement of power flow also they extend its facilities in improvement on transient stability as well. The main intension of this tabloid is to mend the power system with multi machine 14-bus transient stability using of STATCOM. STATCOM is one of the FACTS devise which are used to make the power supply more efficient and reliable. The MATLAB/Simulink environment has been preferred to analysing the result of STATCOM on transient stability performance of the system with Multimachine. The simulation outcomes will show the actual and stoutness of the FACTS device.","PeriodicalId":202026,"journal":{"name":"2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125870825","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

Issues and Research Challenges in Sequential Pattern Mining 顺序模式挖掘中的问题和研究挑战

2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE) Pub Date : 2020-12-10 DOI: 10.1109/ICADEE51157.2020.9368943

Swati Nagori, Hemant Kumar Soni

引用次数: 0