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2021 International Conference on Industrial Electronics Research and Applications (ICIERA)最新文献

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Shell Shoveling Using Socket Programming 使用套接字编程的Shell挖掘
2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/ICIERA53202.2021.9726756
Ashish Sharma, Paras Chugh, Rohan Aggarwal, Harshit Garg
{"title":"Shell Shoveling Using Socket Programming","authors":"Ashish Sharma, Paras Chugh, Rohan Aggarwal, Harshit Garg","doi":"10.1109/ICIERA53202.2021.9726756","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726756","url":null,"abstract":"This research aims to modify the existing shell shoveling technique to gain persistent control over a target's windows system without the knowledge of the compromised user. A .exe file is executed on the target system, which initiates a connection with the server system using socket programming, giving it full control over the target system's command line. In the conventional shell shoveling technique, the connection would've been broken had the target either deleted the file or restarted his/her system. To overcome the former issue, we made sure that a separate copy of our .exe file is made in the AppData folder during the first execution of the .exe file. For the latter issue, a registry entry is made at ‘HKCUSoftwareMicrosoftWindowsCurrentVersionRun’ so the file would automatically get executed every time the system is started.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130839497","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
DDoS Attack Detection using Artificial Neural Network 基于人工神经网络的DDoS攻击检测
2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1007/978-3-030-76776-1_4
Abhinav Shah, D. Rathod, Dharmesh Dave
{"title":"DDoS Attack Detection using Artificial Neural Network","authors":"Abhinav Shah, D. Rathod, Dharmesh Dave","doi":"10.1007/978-3-030-76776-1_4","DOIUrl":"https://doi.org/10.1007/978-3-030-76776-1_4","url":null,"abstract":"","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130508455","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
Hybrid Convolutional Neural Network with Change Detection on Hyperspectral Imagery 高光谱图像变化检测的混合卷积神经网络
2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/ICIERA53202.2021.9726763
Indira Bidari, Satyadhyan Chickerur, Abhishek Thm
{"title":"Hybrid Convolutional Neural Network with Change Detection on Hyperspectral Imagery","authors":"Indira Bidari, Satyadhyan Chickerur, Abhishek Thm","doi":"10.1109/ICIERA53202.2021.9726763","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726763","url":null,"abstract":"Change Detection (CD) is one of the major research areas in the field of remote sensing. Hyperspectral Images (HSI's) boosted the change detection technology with their high spectral resolution features. Traditional CD techniques process the low dimensional images not well suited for high dimensional HSI's. Even tiny details can be captured using hyperspectral images, but processing these images is difficult because of their complex high-dimensional data. HSI contains noise and redundancy that affect the spectral features of hyperspectral imagery. We present a hybrid convolution neural network method to address processing complex high dimensional data of hyperspectral images. The proposed network extracts the spectral-spatial information of hyperspectral images by decomposing the change Tensor in three directions. The spectral dimension of the change Tensor is reduced by using I-D Convolution” and then the Tensor is decomposed from two spatial dimensions. A 2-D convolution is applied to extract the spectral and spatial features along different spatial dimensions to improve accuracy. The results on three hyperspectral image datasets illustrate the performance improvement than most state-of-the-art techniques.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123138058","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
Development of EV-PV Integration Model for Zero Running Cost Transportation 零运行成本交通的电动-光伏一体化模型开发
2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/ICIERA53202.2021.9726751
Yadhu Krishna P P, K. Shiva, Swapnendu Chakrabarti, P. Karandikar
{"title":"Development of EV-PV Integration Model for Zero Running Cost Transportation","authors":"Yadhu Krishna P P, K. Shiva, Swapnendu Chakrabarti, P. Karandikar","doi":"10.1109/ICIERA53202.2021.9726751","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726751","url":null,"abstract":"This paper put forwards a formula which correlates the area of solar panels required with the battery capacity of electric vehicles for the purpose of charging it. This work will reduce use of over rated or under rated solar panels. It will also remove need of having net metering associated with PV energy. It is extremely useful in crowded cities where solar energy charging of EV is implemented. It will also take us to completely green vehicle concept. In future EVs with PV panels could be sold where only one time investment will be required with zero running cost for vehicle.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"532 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116228944","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
Speaker Identification System Using CNN Approach 基于CNN方法的说话人识别系统
2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/ICIERA53202.2021.9726767
Neelam Nehra, P. Sangwan, Divya Kumar
{"title":"Speaker Identification System Using CNN Approach","authors":"Neelam Nehra, P. Sangwan, Divya Kumar","doi":"10.1109/ICIERA53202.2021.9726767","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726767","url":null,"abstract":"In this paper, a text independent Speaker Identification (SI) system is proposed using convolutional neural network (CNN). Also, the proposed methodology is tested in a noisy environment. The text independent SI system is used in this work due to its ability to learn features for classification task. Spectrogram images are used at front end for feature extraction. For classification, convolutional neural network is utilized indicating promising results. Dataset used in this work comprise of 5 speakers, with each speaker uttering 4 voice samples. The overall accuracy achieved for the proposed approach is 96.54 %.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133042973","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
Music Source Separation: A Guide 音乐源分离:指南
2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/ICIERA53202.2021.9726721
Rudranil Das, Deepti Deshwal, P. Sangwan, Neelam Nehra
{"title":"Music Source Separation: A Guide","authors":"Rudranil Das, Deepti Deshwal, P. Sangwan, Neelam Nehra","doi":"10.1109/ICIERA53202.2021.9726721","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726721","url":null,"abstract":"With the revolution in India's telecom industry and exponentially rising user base of applications like YouTube Shorts, Instagram reels, etc. and other indigenous apps like MX Takatak and Josh, insurgence in the quality of music is also needed. A captivating and a snappy background music piece form the foundation of all of the aforementioned apps, which most of the time is not readily available. Therefore, Music Source Separation (MSS) proves to be the need of the hour. MSS aims at segregating various constituting components of music with minimum possible overlap between them. These components (stems) include vocals, bass, drums and other accompaniments. Cocktail party effect illustrates MSS in the best way. The MSS problem can be eliminated using time domain based and spectrogram based methods. The purpose of this research is to look and compare the various existing deep learning-based algorithms (time domain based), such as Conv Tasnet, Demucs, and Open-Un-Mix. Also, we have implemented a very well-known convolutional architecture, Demucs, and were able to achieve the SDR of 7.2 evaluated on the MUSDB18 dataset.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122152670","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
Filtering the cavity field as well as the spin of electron from noise 对腔场和电子自旋进行噪声滤波
2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/ICIERA53202.2021.9726734
Ankit Malik, H. Parthasarathy
{"title":"Filtering the cavity field as well as the spin of electron from noise","authors":"Ankit Malik, H. Parthasarathy","doi":"10.1109/ICIERA53202.2021.9726734","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726734","url":null,"abstract":"The aim of this work is to estimate the electro-magnetic field at a given spatial point within the cavity as well as the spin of the electron bound to its nucleus placed within the cavity. We calculate it using the Hudson-Parthasarathy Schrödinger quantum stochastic differential equation (HPS-QSDE), Plot Noise-to-Signal ratio (NSR) for cavity field observable and spin of electron which validate the effectiveness of the Belavkin quantum filter using MATLAB.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123848972","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
[Copyright notice] (版权)
2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/iciera53202.2021.9726740
{"title":"[Copyright notice]","authors":"","doi":"10.1109/iciera53202.2021.9726740","DOIUrl":"https://doi.org/10.1109/iciera53202.2021.9726740","url":null,"abstract":"","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125387565","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
A Circular Patch Graphene Antenna for $5mathrm{G}$ Applications 用于$5 mathm {G}$应用的圆形贴片石墨烯天线
2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/ICIERA53202.2021.9726716
Nishtha, R. Yaduvanshi
{"title":"A Circular Patch Graphene Antenna for $5mathrm{G}$ Applications","authors":"Nishtha, R. Yaduvanshi","doi":"10.1109/ICIERA53202.2021.9726716","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726716","url":null,"abstract":"With the overcrowding in the GHz frequency range, the researchers are moving toward the THz range of frequencies for the future wireless and mobile communication systems. Dielectric Resonator antennas, graphene antennas are drawing a great deal of interest for the higher frequency ranges and can be the future in field of wireless communication due to their small size in micro metres range in the THz band. In this paper a circular patch graphene antenna feed with proximity feed is designed. The antenna shows a gain of 4.45 dBi. The performance of the antenna for S11 and Z11 and VSWR and radiation pattern is also given. The antenna has an impedance bandwidth of 33.7% (1.38 THz-1.98 THz).","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130239393","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
Determination of Optimal Topology Based VANET Routing Protocol 基于VANET路由协议的最优拓扑确定
2021 International Conference on Industrial Electronics Research and Applications (ICIERA) Pub Date : 2021-12-22 DOI: 10.1109/ICIERA53202.2021.9726750
Preeti Sehrawat, M. Chawla
{"title":"Determination of Optimal Topology Based VANET Routing Protocol","authors":"Preeti Sehrawat, M. Chawla","doi":"10.1109/ICIERA53202.2021.9726750","DOIUrl":"https://doi.org/10.1109/ICIERA53202.2021.9726750","url":null,"abstract":"VANET is a revolutionary system device that utilizes automobiles as base stations to create a network system. Routing protocols play a crucial role in VANET efficiency since it governs how signals are sent and received amongst base stations. Inside this study, authors looked real time vehicles and evaluate the results of DSR and AODV topology-based routing protocols for multiple PDR and throughput. The evaluation criteria of PDR and average throughput are investigated in terms of frequency and nodes count. The purpose of this research is to determine the optimal routing protocol that may be utilised to improve privacy. For this, authors have used SUMO as mobility simulator and synchronised with NS-3 as network simulator. According to our validated data, AODV outperforms among two simulation parameters tested.","PeriodicalId":220461,"journal":{"name":"2021 International Conference on Industrial Electronics Research and Applications (ICIERA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116572630","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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