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Automatic Modulation Classification: A Novel Convolutional Neural Network Based Approach 一种基于卷积神经网络的自动调制分类方法
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691687
Deep Jariwala, Kamal M. Captain
{"title":"Automatic Modulation Classification: A Novel Convolutional Neural Network Based Approach","authors":"Deep Jariwala, Kamal M. Captain","doi":"10.1109/INDICON52576.2021.9691687","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691687","url":null,"abstract":"Deep learning (DL) is a new paradigm of machine learning (ML) that has shown exceptional performance in image, voice and natural language processing. However, researchers have not explored the use of DL to wireless communication to its full potential. The use of DL technology for wireless communication applications has recently gained popularity. This paper looks into the application of deep learning based approach for automatic modulation classification (AMC). Automatic modulation classification has a diverse applications ranging from civilian to military. A deep learning based convolutional neural network (CNN) architecture for AMC is proposed in this paper. We make use of Gaussian noise layer after convolution layers in our proposed architecture which has a regularization effect while training and it reduces over fitting problem. We demonstrate using experiments that the proposed architecture outperforms the existing CNN based architectures for AMC. We also demonstrate the effects of different architecture parameters on the performance of the proposed algorithm.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124035647","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
Forecasting of Load and Solar PV Power to Assess Demand Response Potential 负荷和太阳能光伏发电预测以评估需求响应潜力
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691655
Jayesh G. Priolkar, A. Shirodkar, E. Sreeraj
{"title":"Forecasting of Load and Solar PV Power to Assess Demand Response Potential","authors":"Jayesh G. Priolkar, A. Shirodkar, E. Sreeraj","doi":"10.1109/INDICON52576.2021.9691655","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691655","url":null,"abstract":"Estimating demand response potential is important for the power utility in planning and management of the energy resources and power infrastructure. In this work, we have developed a machine learning model using a long short-term memory neural network for multivariate time series load forecasting using Python. The response of the load forecasting model with the different network configuration parameters is also analyzed in order to improve the accuracy of the model. Real-time electrical load data of the 11 kV feeder from one of the substations of the Goa state electricity board is used for training and developing the short-term forecasting model. The result yields model capable of accurate electrical load forecasting. Energy forecasting of SPV system of 100 kWp capacity is also done for a similar period by using PV* SOL software. The data of the scheduled power reserved for the 11 kV feeder feeding an industrial area is analyzed. From the forecasted load, SPV energy prediction, and the scheduled power data the demand response potential is estimated. This work will help the state power utility to plan and coordinate demand response programs along with scheduling renewable energy resources for maintaining the reliability and security of the power system network.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125930408","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
Impact of Non-Rectangular Cross-Section on Electrical Performances of GAA FETs 非矩形截面对GAA场效应管电性能的影响
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691574
T. Kumari, Jawar Singh, P. Tiwari
{"title":"Impact of Non-Rectangular Cross-Section on Electrical Performances of GAA FETs","authors":"T. Kumari, Jawar Singh, P. Tiwari","doi":"10.1109/INDICON52576.2021.9691574","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691574","url":null,"abstract":"We investigate the short-channel immunity of various cross-section gate-all-around (GAA) field-effect transistors (FETs): Square (Sq), Rectangular (Re), Trapezoidal (Tz), Circular (Cr), Elliptical (Ep), and triangular with rounded corners (Tr) in terms of above-threshold inversion electron charge density, drain induced barrier lowering (DIBL), subthreshold swing (SS) degradation, gate capacitance (Cgg), threshold voltage roll-off, and ON-by-OFF ratio. These cross-sections are obtained by varying one or the other key parameters viz. Fin top width (Wtop), Fin height (HFin), inclination angle ($theta$), and radius of curvature (R). The impact on electrical performances of these parameters as dictated by the processing technology has been analyzed. It is observed that at channel length, $L_{G}=20nm$ the trapezoidal GAA (TzGAA) FET offers 30% reduction in DIBL, 6.4% less degradation in SS, 57% reduction in threshold voltage roll-off, and 22% higher gate capacitance compared to the rectangular counterpart if their bottom widths are equal. Despite ReGAA FET has slightly higher Cgg compared to EpGAA, the later shows enhanced immunity to short-channel effects. The electron density of TzGAA FET has been observed to decrease with an increase in $theta, H_{Fin}, W_{top}$, and R. Besides, we calculated the analoyRF parameter dependence on $theta$ of TzGAA FET. We believe our findings could represent guidelines for the design of high-performance GAA FETs.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126157691","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
Liquid Crystal Polymer based Tunable Microstrip Filter at Q-Band q波段液晶聚合物基可调谐微带滤波器
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691594
Nishant Shukla, Vikas Gupta, P. Ambati, D. K. Singh
{"title":"Liquid Crystal Polymer based Tunable Microstrip Filter at Q-Band","authors":"Nishant Shukla, Vikas Gupta, P. Ambati, D. K. Singh","doi":"10.1109/INDICON52576.2021.9691594","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691594","url":null,"abstract":"In this paper a passive, simple and reliable method for frequency tuning of a planar microstrip band pass filter is presented. A tunable 4-Pole Quasi-Elliptic cross coupled planar microstrip band pass filter is designed and fabricated at Q-band on Liquid Crystal Polymer (LCP) using conventional lithographic process. Tunability of band pass filter transmission response is demonstrated and a 4 % frequency band tuning range is obtained at 48 GHz. Two possible tuning approaches with LCP are proposed and commensurate simulation results are presented. One out of the two suggested approaches has been implemented for the validation and measured results are reported.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128383356","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
High Performance camera electronics for Infrared payloads 用于红外有效载荷的高性能相机电子设备
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691757
Ravi Kumar, N. Singh, Ashok Kumar V, J. Desai, R. Kumaran
{"title":"High Performance camera electronics for Infrared payloads","authors":"Ravi Kumar, N. Singh, Ashok Kumar V, J. Desai, R. Kumaran","doi":"10.1109/INDICON52576.2021.9691757","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691757","url":null,"abstract":"In recent times, demand for Micro and Nano satellites has increased many folds, resulting in rapid development of miniaturized satellite systems. Infrared (IR) sensors find multiple applications in remote sensing. These sensors require processing electronics with high SNR. Infrared sensors require high performance electronics. This paper discusses the main challenges in design and development of miniaturized high SNR camera electronics for IR sensor system. Analog Front End (AFE) based analog video processing circuit is used in camera electronics. This paper presents design aspects, details of test results with simulated sensor as well as the integrated test results of camera electronics with sensor. Electronics PSNR (Peak Signal to Noise Ratio) $approx$12000 is achieved. Power dissipation in Camera electronics is approximately 1.5W.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128707220","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
A Novel Wideband 3-dB Branch Line Coupler Using Capacitively-Couple Coupled Line 一种采用电容耦合的新型宽带3db支路耦合器
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691558
D. K. Sharma
{"title":"A Novel Wideband 3-dB Branch Line Coupler Using Capacitively-Couple Coupled Line","authors":"D. K. Sharma","doi":"10.1109/INDICON52576.2021.9691558","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691558","url":null,"abstract":"This paper introduces a novel 3-dB two-section wideband branch line coupler (BLC). For a wideband characteristic, a capacitively-couple coupled line (CCCL) based BLC design is explored. Proposed BLC is compact in size along with that it maintained a flat coupling and very less amplitude imbalance between through and coupled ports. Without defected ground structures and multilayer process, proposed BLC has better fractional bandwidth (FBW) and lesser circuit size as compared to conventional two section BLC. Designed CCCL based BLC exhibited 43.2% FBW at the center frequency of 3.7 GHz. The bandwidth is constrained by 1-dB power imbalance, ±5 phase imbalance, -12dB worst return loss, and -12dB isolation.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128431620","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
Human Emotion Recognition using EEG Signal in Music Listening 利用脑电信号识别音乐听力中的人类情绪
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691724
Manasa Pisipati, Anup Nandy
{"title":"Human Emotion Recognition using EEG Signal in Music Listening","authors":"Manasa Pisipati, Anup Nandy","doi":"10.1109/INDICON52576.2021.9691724","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691724","url":null,"abstract":"Electroencephalogram (EEG) signal provides information about the emotion state of an individual and music can be used as a stimulus to evoke specific kinds of emotions in the human brain. The proposed work focuses on discrete emotion recognition to classify the EEG signals into nine different emotion states. A novel hybrid feature extraction model based on time, frequency, and time-frequency domain is proposed to extract important features from EEG signal. Various machine learning models (k-nearest neighbor (k-NN), Random Forest, and XGBoost) and a deep learning algorithm (Convolution Neural Network (CNN)) are used to classify the emotions with promising results on DREAMER dataset. It is found that kNN, random forest, XGBoost, and CNN provide classification accuracy of 94.49%, 99.94%, 99.39%, and 99.90% respectively. The proposed work is compared with state-of-the-art techniques and the efficiency of the hybrid feature extraction model improves classification accuracy.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129834735","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 Novel Interference-aided RF Energy Harvesting scheme for Cooperative NOMA Network 一种新的协同NOMA网络干扰辅助射频能量收集方案
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691663
Chandrima Thakur, S. Chattopadhyay
{"title":"A Novel Interference-aided RF Energy Harvesting scheme for Cooperative NOMA Network","authors":"Chandrima Thakur, S. Chattopadhyay","doi":"10.1109/INDICON52576.2021.9691663","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691663","url":null,"abstract":"This paper presents a novel scheme of Interference-aided RF Energy Harvesting in Cooperative NOMA system in presence of an Eavesdropper. Basic objective of this paper is to investigate the secrecy performance under the influence of a cluster of interferers under jamming cancellation scheme. The influence of various network parameters such as the Transmit Source Power, Nakagami-m parameter, Jamming Signal Power and the number of co-channel interferers on the system secrecy performance has been evaluated. Additionally, the impact of Power allocation Factor for varying Transmit Power of Source on the Ergodic Secrecy Rate has been found. The results of this paper illustrate how the jamming and interference power affect the secrecy performance. Furthermore, an optimal value of Source Signal-to-Interference-Noise Ratio at which the Secrecy Outage Probability is minimized has been found out for variation of Jamming and Interference Power Levels. This study can serve as a constraint on the optimal number of interfering nodes that can be utilized for energy harvesting to achieve a desired level of secrecy.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129924699","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
Exploiting Ensemble of Transformer Models for Detecting Informative Tweets 利用变压器模型集成检测信息性推文
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691734
Abu Nowhash Chowdhury, Shawon Guha, Nurul Amin, S. I. Khan
{"title":"Exploiting Ensemble of Transformer Models for Detecting Informative Tweets","authors":"Abu Nowhash Chowdhury, Shawon Guha, Nurul Amin, S. I. Khan","doi":"10.1109/INDICON52576.2021.9691734","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691734","url":null,"abstract":"Microblogging platforms especially Twitter is considered as one of the prominent medium of getting user-generated information. Millions of tweets were posted daily during COVID-19 pandemic days and the rate increases gradually. Tweets include a wide range of information including healthcare information, recent cases, and vaccination updates. This information helps individuals stay informed about the situation and assists safety personnel in making decisions. Apart from these, large amounts of propaganda and misinformation have spread on Twitter during this period. The impact of this infodemic is multifarious. Therefore, it is considered a formidable task to determine whether a tweet related to COVID-19 is informative or uninformative. However, the noisy and nonformal nature of tweets makes it difficult to determine the tweets’ informativeness. In this paper, we propose an approach that exploits the benefits of finetuned transformer models for informative tweet identification. Upon extracting features from pre-trained COVID-Twitter-BERT and RoBERTa models, we leverage the stacked embedding technique to combine them. The features are then fed to a BiLSTM module to learn the contextual dimension effectively. Finally, a simple feed-forward linear architecture is employed to obtain the predicted label. Experimental result on WNUT-2020 benchmark informative tweet detection dataset demonstrates the potency of our method over various state-of-the-art approaches.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130004745","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
Parkinson’s Disease Classification from Magnetic Resonance Images (MRI) using Deep Transfer Learned Convolutional Neural Networks 使用深度转移学习卷积神经网络从磁共振图像(MRI)中分类帕金森病
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691745
Iswarya Kannoth Veetil, E. Gopalakrishnan, V. Sowmya, Kritik Soman
{"title":"Parkinson’s Disease Classification from Magnetic Resonance Images (MRI) using Deep Transfer Learned Convolutional Neural Networks","authors":"Iswarya Kannoth Veetil, E. Gopalakrishnan, V. Sowmya, Kritik Soman","doi":"10.1109/INDICON52576.2021.9691745","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691745","url":null,"abstract":"Parkinson’s Disease (PD) is a progressive brain disorder cased by dopmainergic neuronal loss and mainly affects the Substantia Nigra located in the mid brain region. The increasing availability of public datasets has driven the development of advanced machine learning algorithms as a tool to assist in the classification and initial risk assessment of patients with PD. This work provides an analysis of five major deep learning architectures with the aim of refinement of Magnetic Resonance Imaging (MRI) based diagnosis of PD, evaluated using multiple performance indices. Three of the five architectures considered show a significant increase in performance in comparison to existing work without hyper-parameter tuning and can aid researchers in selecting a Deep Neural Network (DNN) model as an MRI based classification model for PD. The results support and demonstrate the scope for the use of Artificial Intelligence (AI) as a decision support system.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130082361","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
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