2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE)最新文献_第2页

Simulation and Modeling of a Wind Turbine using PMSG with Maximum Power Tracking Control 风电机组最大功率跟踪控制的PMSG仿真与建模

2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE) Pub Date : 2019-11-01 DOI: 10.1109/WITCONECE48374.2019.9092893

Hitesh Joshi, A. K. Swami, Kanchan Matiyali

引用次数: 1

Compact Broadband Microstrip Antenna with DGS for Wirelessapplications 紧凑型宽带微带天线与DGS无线应用

2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE) Pub Date : 2019-11-01 DOI: 10.1109/WITCONECE48374.2019.9092899

Bharat Pant, R. Gangwar, Reeta Verma

{"title":"Compact Broadband Microstrip Antenna with DGS for Wirelessapplications","authors":"Bharat Pant, R. Gangwar, Reeta Verma","doi":"10.1109/WITCONECE48374.2019.9092899","DOIUrl":"https://doi.org/10.1109/WITCONECE48374.2019.9092899","url":null,"abstract":"A compact broadband microstrip antenna with DGS in the range from 2 to 7 GHz for wireless communication applications is proposed. The proposed broadband antenna is designed at the operating frequency of 4 GHz and simulated using TLM model and HFSSv.15, respectively. Wireless standards like WiMAX (3.6 GHz), Hi-LAN (5.15-5.35 GHz), WLAN IEEE802a (5.2GHZ) and DSRC (5.850-5.925 GHz ) lie in this frequency range. The proposed broadband antenna with compact dimension of 32 x 22 x 1.6 mm3 is fabricated on FR4 dielectric material having εr of 4.4 & tanδ of 0.02. S11, VSWR & bandwidth for the proposed antenna are measured. The bandwidth with S11 less than -10 dB is measured as 3770 MHz in the frequency range from 2.70 to 6.47 GHz. Peak gain of 5.22 dBi and radiation efficiency of 90- 98% are achieved for frequency at 6 GHz. The radiation patters at different frequencies are found to be stable. Comparisons between the simulated and measured results for the proposed antenna show a close agreement. The fabricated broadband antenna has been also compared with the earlier designed antennas indicating its nobility and better performance.","PeriodicalId":350816,"journal":{"name":"2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130591479","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

Energy-Saving Sensors for Precision Agriculture in Wireless Sensor Network: A Review 无线传感器网络中用于精准农业的节能传感器研究进展

2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE) Pub Date : 2019-11-01 DOI: 10.1109/WITCONECE48374.2019.9092890

Sanjay Kumar, Naveen Kumar, R. Saini

引用次数: 8

Comparison of Machine Learning Approach in Smart Wearables 智能可穿戴设备中机器学习方法的比较

2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE) Pub Date : 2019-11-01 DOI: 10.1109/WITCONECE48374.2019.9092921

Prabhsimar Kaur, Vishal Bharti, Srabanti Maji

{"title":"Comparison of Machine Learning Approach in Smart Wearables","authors":"Prabhsimar Kaur, Vishal Bharti, Srabanti Maji","doi":"10.1109/WITCONECE48374.2019.9092921","DOIUrl":"https://doi.org/10.1109/WITCONECE48374.2019.9092921","url":null,"abstract":"Smart devices and smart wearables using machine learning techniques and Internet of Things (IoT) are automating the epilepsy seizure predictions and overcoming the limitations of manual epilepsy monitoring and detection using EEG signals. Epilepsy being the most common neurological disorder, physicians usually prescribe antibiotic drugs and surgical treatments to cure epilepsy. The antibiotic drugs and surgical treatments have side effects on the health of the patients. The patients resistant to epileptic medications, to overcome these limitations several smart devices & smart wearable’s making use of machine learning approaches & IoT are being developed. In this paper, we have tried to review and compare such smart wearable devices being used to make epileptic seizure predictions and the machine learning techniques being used by these devices. The devices being reviewed in this paper are (i) Smart Head Bands (ii) Smart Phone Application (iii) Smartphone-Based Detection System (iii) Smart Watch (iv) Mobile multimedia framework (v) Microcontroller and (vi) Wrist-Worn Sensor. The accuracy results of the smart devices and smart wearables have been reviewed and reported. It has been observed that Support Vector Machine is the most used machine learning technique in almost all the smart devices.","PeriodicalId":350816,"journal":{"name":"2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127767593","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

Multiresolution analysis based sparse dictionary learning for remotely sensed image retrieval 基于多分辨率分析的稀疏字典学习遥感图像检索

2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE) Pub Date : 2019-11-01 DOI: 10.1109/WITCONECE48374.2019.9092901

A. Yadav, Adithya Aryasomayajula, Rizwan AhmedAnsari

{"title":"Multiresolution analysis based sparse dictionary learning for remotely sensed image retrieval","authors":"A. Yadav, Adithya Aryasomayajula, Rizwan AhmedAnsari","doi":"10.1109/WITCONECE48374.2019.9092901","DOIUrl":"https://doi.org/10.1109/WITCONECE48374.2019.9092901","url":null,"abstract":"Sparse representation using over-complete dictionaries offers a compact representation with minimal error and yields in compression ratios that are relatively higher than other conventional lossless compression algorithms. Multiresolution analysis (MRA) offers a framework to decompose and observe a signal at various resolutions thus allows representing the signal in a way that makes the retrieval convenient.In this paper, we propose a wavelet based MRA framework for image compression by sparse representation of the decomposition of an image, trained on over-complete dictionary. The dictionaries are trained using algorithms like the singular value decomposition (SVD), method of optimal directions (MOD) and the sparse representation is done using the pursuit algorithm. The method is tested on remotely sensed images captured by Worldview-1 satellite and reconstructions from the dictionaries using proposed framework also yield a low root mean square error and a high spatial similarity index (SSIM) which attests to the high quality of reconstructed images. The results obtained showthe storage of the over-complete dictionaries trained on the various subbands, keep on reducing as the level of decomposition increases lead to a better compression ratio than the sparse representation of an image at a single resolution while maintaining the same image quality.","PeriodicalId":350816,"journal":{"name":"2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131095291","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

Design, Simulation and Comparative Analysis of Different Types of Solar Charge Controllers for Optimized Efficiency 不同类型太阳能充电控制器优化效率的设计、仿真与比较分析

2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE) Pub Date : 2019-11-01 DOI: 10.1109/WITCONECE48374.2019.9092912

A. Victor, D. Mahato, Amit Pundir, G. Saxena

引用次数: 2

Extreme Learning Machine Approach for Prediction of Forest Fires using Topographical and Metrological Data of Vietnam 利用越南地形和气象数据预测森林火灾的极限学习机方法

2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE) Pub Date : 2019-11-01 DOI: 10.1109/WITCONECE48374.2019.9092926

B. Singh, N. Kumar, Pratima Tiwari

{"title":"Extreme Learning Machine Approach for Prediction of Forest Fires using Topographical and Metrological Data of Vietnam","authors":"B. Singh, N. Kumar, Pratima Tiwari","doi":"10.1109/WITCONECE48374.2019.9092926","DOIUrl":"https://doi.org/10.1109/WITCONECE48374.2019.9092926","url":null,"abstract":"A problem is a well-posed problem if it satisfy, solution existence, solution uniqueness and non- perturbation conditions. Ill-posed problems or inverse problems are the special case of well-posed problem, because inverse of major function does not exist. Forest fire prediction is an inverse problem. Forest are the largest natural resources. Forest fire is a calamity, it is a threat to the entire regime of flora and fauna. Forest fire mitigation is essential because it can devastate biodiversity, wild life and can cause economic loss. In this research work extreme learning machine is used, because it has capability prediction problem solves with better generalization and fast learning speed. ELM is a new approach to be used for forest fire prediction. Presented work predict the forest fire occurrence with the help of topographical and metrological data, with parameters slope, Aspect, Elevation, NDVI, Distance to road, Distance to residential area, Land use, Temperature, Wind speed, Rainfall and forest fire occurrence. The motivation behind this work is to predict the forest fire to provide better way of management for this tragedy. In this research work a relationship is being established between forest fire causing factors and forest fire occurrence using historical data. The used database is already existing data of 540 historical locations of Vietnam. Experiments are conducted on different data partitions of availed data with different activation functions. On the basis of accuracy of model, sigmoid function found to be best and suggested to be used further for forest fire prediction.","PeriodicalId":350816,"journal":{"name":"2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114448836","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

The Substrate Integrated Waveguide Based Self- Triplexing Cross Slot Antenna 基于基板集成波导的自三工交叉槽天线

2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE) Pub Date : 2019-11-01 DOI: 10.1109/WITCONECE48374.2019.9092932

P. Nigam, A. Muduli, Sandeep Sharma, A. Pal

引用次数: 3

Implementation of Vehicle Security System using GPS,GSM and Biometric 基于GPS、GSM和生物识别技术的车辆安全系统的实现

2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE) Pub Date : 2019-11-01 DOI: 10.1109/WITCONECE48374.2019.9092918

M. Ramesh, S. Akruthi, K. Nandhini, S. Meena, S. Joseph Gladwin, R. Rajavel

{"title":"Implementation of Vehicle Security System using GPS,GSM and Biometric","authors":"M. Ramesh, S. Akruthi, K. Nandhini, S. Meena, S. Joseph Gladwin, R. Rajavel","doi":"10.1109/WITCONECE48374.2019.9092918","DOIUrl":"https://doi.org/10.1109/WITCONECE48374.2019.9092918","url":null,"abstract":"As the variety of urban vehicles is growing apace with the event of the economy, individuals are becoming a lot concerned about vehicle thievery, which creates broader market prospects for vehicle anti-theft products. Various vehicle antitheft devices have been developed latterly, but the outcome is still unsatisfactory since every kind of device has its drawbacks. Therefore, an enhanced system has been proposed in this paper to ensure vehicle safety and track the vehicle in the event of theft. This proposed system includes a fingerprint-based authentication to enable the engine ON in addition to the key mechanism. The owner has to use both fingerprint and key, to access the vehicle. Even if one input out of the two is available, the vehicle cannot be turned on. When an unauthorized person tries to operate the vehicle by an alternate mechanism by bypassing the finger print authentication and key, an alert SMS with the location coordinates is sent to the owner which will enable him/her to track the vehicle with the help of GPS and GSM technologies.","PeriodicalId":350816,"journal":{"name":"2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124322042","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

Blind Equalization with NARX Neural Networks 基于NARX神经网络的盲均衡

2019 Women Institute of Technology Conference on Electrical and Computer Engineering (WITCON ECE) Pub Date : 2019-11-01 DOI: 10.1109/WITCONECE48374.2019.9092915

V. Singh, S. Mathur

引用次数: 0