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

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Adaptive Fuzzy Network based Transfer Learning for Image Classification 基于自适应模糊网络的图像分类迁移学习
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) Pub Date : 2020-02-01 DOI: 10.1109/SCEECS48394.2020.155
Rishil Shah
{"title":"Adaptive Fuzzy Network based Transfer Learning for Image Classification","authors":"Rishil Shah","doi":"10.1109/SCEECS48394.2020.155","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.155","url":null,"abstract":"With the introduction of Convolutional Neural Networks (CNN) the computer vision domain has witnessed a tremendous increase in novel architectures achieving results on vision tasks that exceed human performance. Neuro-fuzzy hybrid systems are a great avenue for enhancing the interpretability of neural networks. A lot of research in recent times has explored the technique of transfer learning applied to CNNs for computer vision applications. However, a pre-trained deep convolutional network with a subsequent adaptive fuzzy based network is yet to be explored. Hence in this paper, a novel adaptive fuzzy network based convolutional network is proposed. The paper focuses on using non-hybrid learning based adaptive fuzzy networks in conjunction with pre-trained convolutional networks for the task of image classification. The results illustrate the proposed approach eclipses over existing architectures used for image classification.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"122 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":"117314215","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
Polarization Insensitive Dual Frequency Microwave Absorber for X and Ku Band Applications 用于X和Ku波段的偏振不敏感双频微波吸收器
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) Pub Date : 2020-02-01 DOI: 10.1109/SCEECS48394.2020.120
J. M. Reddy, C.S. Ramana Maharshi, Chandu Ds
{"title":"Polarization Insensitive Dual Frequency Microwave Absorber for X and Ku Band Applications","authors":"J. M. Reddy, C.S. Ramana Maharshi, Chandu Ds","doi":"10.1109/SCEECS48394.2020.120","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.120","url":null,"abstract":"A planar microwave absorber with dual-band characteristics in X and Ku bands is presented in this paper. The proposed design operates at 8.2 GHz and 17.5 GHz with absorptivities of 99.11% and 99.39% respectively. The unit cell is designed using FR-4 substrate (εr = 4.4) with thickness 0.02λ0 and has dimensions of 0.27λ0 x 0.27λ0, where λ0 is the free-space wavelength at lowest operating frequency. The structure consists of one larger square ring corresponding to an absorption peak at X band. Further, four right angled bends are etched on the four corners of the square unit cell so as to form a another square ring of smaller dimension that corresponds to another absorption peak at Ku band. The larger square and the right angle bends are interconnected with a narrow conducting strip to improve the absorptivity in both the bands. The unit cell is examined under various polarization angles and it is polarization insensitive up to 60° and exhibits good angular stability. The fractional bandwidth of the proposed absorber is 2.4% centered at 8.2 GHz and 1.14% centered at 17.5 GHz. The high absorptivity makes it a useful candidate to absorb the undesired radiations of various electronic circuits in satellite and radar applications that degrade the performance of entire system. thereby enhancing the performance and reliability the communication systems that emit spurious radiations.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"1218 33","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120877155","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
Curve Tracing Method in Segmentation and Detection of Type 2 Diabetes Mellitus in ECGs of Unhealthy Patients 曲线追踪法在不健康患者心电图2型糖尿病分割与检测中的应用
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) Pub Date : 2020-02-01 DOI: 10.1109/SCEECS48394.2020.30
Saurav Bharadwaj, S. Paul
{"title":"Curve Tracing Method in Segmentation and Detection of Type 2 Diabetes Mellitus in ECGs of Unhealthy Patients","authors":"Saurav Bharadwaj, S. Paul","doi":"10.1109/SCEECS48394.2020.30","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.30","url":null,"abstract":"Study is conducted to examine the symptoms of ventricular abnormalities in type 2 diabetes mellitus patients. To analyze the abnormal cardioelectric conduction of heart in analogous to a mathematical model, the type 2 diabetes mellitus patients are grouped in four groups of ventricular tachycardia, fibrosis, hypertrophy and dysfunctional electrocardiographic deviations of the cardiac rhythm. Successively, curve tracing method is implemented to extract the amplitude-time deviations in the lead voltages. Of the 50 participants, 40 patients suffered from type 2 diabetes mellitus patients and rest 10 participants are controlled health. Finding revels, the type 2 diabetes mellitus patients suffered from sinus ventricular tachycardia and later leads to peripheral neuropathy in old ages. Patients suffered from fibrosis follows by the symptoms of myocardial infraction, indicated in an inverted T wave of -0.35mV on argument vector right lead. Few of the patients suffered from hypertrophy of ventricles diagnosed on the increase in S wave of -1.5mV in the limb lead III and leads to congenital heart diseases. A population of patients suffered from dysfunction diagnosed with a low amplitude cardiac rhythm. Study on type 2 diabetes mellitus patients reported a strong evidence on the minute changes in the cardiac rhythm that enhance the possibility of connective cardiac diseases. Prime target region of the heart in type 2 diabetes mellitus is the abnormal functioning of the ventricles and specially the left ventricle of the heart.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"13 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":"124987587","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
Performance Analysis of CFBG and DCF Based on Dispersion Compensation 基于色散补偿的CFBG和DCF性能分析
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) Pub Date : 2020-02-01 DOI: 10.1109/SCEECS48394.2020.170
Adesh Gharat, P. Nawale, Priyanka Waje, Bhagyashree U. Borse, Dhananjay Patel
{"title":"Performance Analysis of CFBG and DCF Based on Dispersion Compensation","authors":"Adesh Gharat, P. Nawale, Priyanka Waje, Bhagyashree U. Borse, Dhananjay Patel","doi":"10.1109/SCEECS48394.2020.170","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.170","url":null,"abstract":"This paper compares the chirped fiber bragg grating (CFBG) with dispersion compensation fiber (DCF) in single channel optical communication system. The configurations have been simulated using some initial parameters such as length of the fiber, dispersion, and bit rate to analyze the performance by comparing the results of the receivers. Different parameters of the Chirped FBG, such as the chirp parameter, the length of the grating period along with the apodization are considered to obtain the most appropriate values for the proposed system. The Optisystem 16.1 was used to simulate the entire system. The eye diagram obtained for the signal transmission at the bit rate of 10 Gbps proves CFBG proves to be more immune to dispersion as compared to DCF.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"21 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":"132741782","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
Boosting predictions of Host-Pathogen protein interactions using Deep neural networks 利用深度神经网络增强宿主-病原体蛋白质相互作用的预测
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) Pub Date : 2020-02-01 DOI: 10.1109/SCEECS48394.2020.150
Satyajit Mahapatra, S. Sahu
{"title":"Boosting predictions of Host-Pathogen protein interactions using Deep neural networks","authors":"Satyajit Mahapatra, S. Sahu","doi":"10.1109/SCEECS48394.2020.150","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.150","url":null,"abstract":"The initiation of the infection process in a living organism starts with the interaction of host protein with the pathogen protein. So, the prediction of this host-pathogen protein interaction (HPI) can help in drug design and disease management strategy. Investigation of HPI by high-throughput experimental techniques is expensive and time-consuming. Therefore computational techniques have come up as an effective alternative for the prediction of these interactions. In this paper, a Deep neural network-based HPI prediction model is proposed. In the proposed technique first, the variable-length protein sequences are encoded into fixed-length input by using a Local descriptor based feature extraction method. These features are used as input to DNN based predictor. An exhaustive simulation study shows 91.70% and 87.30% accuracy on Human- Bacillus Anthracis and Human- Yersinia pestis datasets.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"43 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":"124941013","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
Recognition of Faults in Grid Connected Solar Photovoltaic Farm Using Current Features Evaluated Using Stockwell Transform Based Algorithm 基于Stockwell变换评估电流特征的并网太阳能光伏电站故障识别
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) Pub Date : 2020-02-01 DOI: 10.1109/SCEECS48394.2020.13
Roshan Kumar Pathak, S. Agarwal, Om Prakash Mahela, Ravi Raj Choudhary
{"title":"Recognition of Faults in Grid Connected Solar Photovoltaic Farm Using Current Features Evaluated Using Stockwell Transform Based Algorithm","authors":"Roshan Kumar Pathak, S. Agarwal, Om Prakash Mahela, Ravi Raj Choudhary","doi":"10.1109/SCEECS48394.2020.13","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.13","url":null,"abstract":"This paper introduces research work focussed on designing an algorithm using Stockwell Transform for estimation of faults in grid integrated solar PV farm using current signals. An algorithm based on Features such as median and summing absolute values of Stockwell Transform using the current signal has been presented in this manuscript. Proposed algorithm can be utilized in protection schemes of the transmission and distribution feeders in the grid integrated solar PV farms. Algorithm has been tested for the estimation of the faults such as phase to ground, phase to phase, two phases to ground and three phases to ground fault on the AC side of the grid. Algorithm is also tested for estimation of faults on the DC bus of the solar PV farms.","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":"114144447","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 Review on Prediction of Early Heart Attack Based on Degradation of Graphene Oxide and Carbon Nanotube using Myeloperoxidase 髓过氧化物酶降解氧化石墨烯和碳纳米管预测早期心脏病的研究进展
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) Pub Date : 2020-02-01 DOI: 10.1109/SCEECS48394.2020.169
Shrey Kothavade, Apoorv Kulkarni, A. Sawant, Dhananjay Patel
{"title":"A Review on Prediction of Early Heart Attack Based on Degradation of Graphene Oxide and Carbon Nanotube using Myeloperoxidase","authors":"Shrey Kothavade, Apoorv Kulkarni, A. Sawant, Dhananjay Patel","doi":"10.1109/SCEECS48394.2020.169","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.169","url":null,"abstract":"This paper focuses on the study of the relationship between Myeloperoxidase (MPO) and Graphene Oxide (GO); and the relation between MPO and Carbon Nanotubes (CNT). Recent studies have claimed that an increase concentration of MPO in human blood occurs due to increased levels of cholesterol in human body. The increased concentration of the MPO can be detected by the single walled CNT and GO, as MPO degrades them. We have reviewed the degradation rate with the chemical reactions of GO and CNT with MPO. We have provided a detailed study of reactions to check their toxicity, spectroscopy and zeta potential. The paper provides a detailed study to detect the increased level of MPO to identify the increased concentration of cholesterol in human body leading to human heart health issues in day to day life. Early diagnosis of heart attack is possible with the detection of MPO based on several methods studied in this paper.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"33 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":"114524594","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
Performance Analysis of TMG FinFETs for Low Power Application with Improved Analog/RF Characteristics 具有改进模拟/射频特性的低功耗TMG finfet性能分析
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) Pub Date : 2020-02-01 DOI: 10.1109/SCEECS48394.2020.103
Somya Saraswat, D. Yadav, Sachin Kumar, Nitish Parmar, Ritwik Sharma, Atul Kumar
{"title":"Performance Analysis of TMG FinFETs for Low Power Application with Improved Analog/RF Characteristics","authors":"Somya Saraswat, D. Yadav, Sachin Kumar, Nitish Parmar, Ritwik Sharma, Atul Kumar","doi":"10.1109/SCEECS48394.2020.103","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.103","url":null,"abstract":"In this manuscript, a 3D simulation model of FinFET is proposed. The device is designed in such a manner that the gate is made with three metals of different work functions, so it’s named as Tri-Metal Gate (TMG) FinFET. The work function at source/channel junction is kept high in comparison to the drain/channel junction to reduce DIBL and improve transconductance. This structure improves ONstate current, with suppressed OFF-state current. Further DC and analog/RF characteristics such as transfer characteristics, parasitic capacitance (Cgd, Cgs), transconductance (gm), cut off frequency (fT), output transconductance (gds), transconductance generation factor(TGF) are investigated. A comparative analysis of the proposed device with an existing device is also performed and results are studies. Above parameters support its utility at ultra-low power VLSI. The device has been simulated using TCAD simulator.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"9 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":"122077947","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
Power Quality Issues and Mitigation approaches for modern power scenarios: encapsulation 现代电源方案的电能质量问题和缓解方法:封装
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) Pub Date : 2020-02-01 DOI: 10.1109/SCEECS48394.2020.70
Hikmat Beig, S. Nema, S. Gawre
{"title":"Power Quality Issues and Mitigation approaches for modern power scenarios: encapsulation","authors":"Hikmat Beig, S. Nema, S. Gawre","doi":"10.1109/SCEECS48394.2020.70","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.70","url":null,"abstract":"The growth of energy usage is increasing at a very alarming rate. So, there was an urge to move towards the renewable source of energy from the conventional sources of energy. As the system being used today is already using the conventional sources of energy so the efforts are made to incorporate the renewable sources in the existing system. But it is not that easy as it leads to many problems. Here, efforts are made to present you with the issues which come in the way while we deal with the electrical power and the incorporation of devices, how power quality came in picture and methods to mitigate it.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"49 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":"126990971","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
Innovative Design and Analysis of a Closely Spaced 4×4 massive MIMO Antenna Array with Low Mutual Coupling for 5G BTS Application 面向5G BTS应用的紧密间隔4×4低互耦大规模MIMO天线阵创新设计与分析
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) Pub Date : 2020-02-01 DOI: 10.1109/SCEECS48394.2020.172
Roja Vadlamudi, S. D
{"title":"Innovative Design and Analysis of a Closely Spaced 4×4 massive MIMO Antenna Array with Low Mutual Coupling for 5G BTS Application","authors":"Roja Vadlamudi, S. D","doi":"10.1109/SCEECS48394.2020.172","DOIUrl":"https://doi.org/10.1109/SCEECS48394.2020.172","url":null,"abstract":"A Closely packed 4×4 large MIMO Antenna Array with Low Mutual Coupling for 5 G BTS Application is featured innovative design and study. Two chamfered bow-tie dipole antenna elements are placed in orthogonal orientation and fed with two coaxial cables, achieving dual polarization. The architecture consists of chamfering the two arms of bow-tie antennas that improve port isolation to port. The pattern of unidirectional radiation is obtained by placing a metal ground plane at a distance of λ0/4. The radiating elements are intended for operation at 3.5 GHz. Simulated results of the expected dual-polarized chamfered bowtie antenna exhibit a sub-6GHz bandwidth (2.8–4.0 GHz) with VSWR < 1.5. Isolation between the two ports is −27dB and mutual coupling is around-25 dB and for both the polarization a gain of 9.1dBi is observed. The aerial overall height is 0.25λ0 and the design is simple and easy to manufacture. This new design is thus a perfect candidate for the new 5 G BTS applications.","PeriodicalId":167175,"journal":{"name":"2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS)","volume":"72 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":"127126756","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
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