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Ensemble Algorithms for EEG based Emotion Recognition 基于脑电的情绪识别集成算法
2020 National Conference on Communications (NCC) Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056002
Nalini Pusarla, Ashutosh Kumar Singh, S. Tripathi
{"title":"Ensemble Algorithms for EEG based Emotion Recognition","authors":"Nalini Pusarla, Ashutosh Kumar Singh, S. Tripathi","doi":"10.1109/NCC48643.2020.9056002","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056002","url":null,"abstract":"Emotion recognition using Electroencephalogram (EEG) signal has grabbed the attention of researchers recently due to its widespread applications. This study employed empirical mode decomposition (EMD) to process EEG signals of different channel profiles and obtains various intrinsic mode functions. Sample Entropy (Samp En) is computed for the first four intrinsic mode functions, which are used as feature vectors for emotion recognition. To identify three categories of human emotions namely negative, neutral and positive, Random forest (RF) and Extreme Gradient Boosting (XGBoost) classifiers are fed with the extracted feature vectors. This algorithm achieved maximum accuracy of 88% and 96% with Random forest and XGBoost classifiers on a publicly available database SEED by considering all 62 channels of EEG.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"1 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":"128751135","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 Low Profile Wideband Planar Antenna for 5G Wireless Communication Applications 面向5G无线通信应用的低轮廓宽带平面天线
2020 National Conference on Communications (NCC) Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056012
R. Azim, A. M. H. Meaze, Mohammad Shuhrawardy, L. Paul
{"title":"A Low Profile Wideband Planar Antenna for 5G Wireless Communication Applications","authors":"R. Azim, A. M. H. Meaze, Mohammad Shuhrawardy, L. Paul","doi":"10.1109/NCC48643.2020.9056012","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056012","url":null,"abstract":"This paper presents a low profile wideband planar antenna for 5G applications. The designed antenna consists of a circular patch element and a partial ground plane with two rectangular edge elements and has a compact size of 20 × 35 × 0.8 mm3, The antenna with the optimized dimension of the patch element and the ground plane is able to excite for a wide bandwidth of 2900 MHz (2.99 - 5.89 GHz) which cover all the lower 5G bands between 3 GHz to 5 GHz at reflection coefficient, S11 < -10dB. Due to its simple structure, smaller size, symmetric radiation pattern and stable gain, the proposed antenna could be a potential competitor to be used in 5G wireless devices.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"50 3-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120900091","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
SVR-Primal Dual Method of Multipliers (PDMM) for Large-Scale Problems 大规模问题的svr -原始对偶乘数法
2020 National Conference on Communications (NCC) Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056014
Lijanshu Sinha, K. Rajawat, C. Kumar
{"title":"SVR-Primal Dual Method of Multipliers (PDMM) for Large-Scale Problems","authors":"Lijanshu Sinha, K. Rajawat, C. Kumar","doi":"10.1109/NCC48643.2020.9056014","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056014","url":null,"abstract":"With the advent of big data scenarios, centralized processing is no more feasible and is on the verge of getting obsolete. With this shift in paradigm, distributed processing is becoming more relevant, i.e., instead of burdening the central processor, sharing the load between the multiple processing units. The decentralization capability of the ADMM algorithm made it popular since the recent past. Another recent algorithm PDMM paved its way for distributed processing, which is still in its development state. Both the algorithms work well with the medium-scale problems, but dealing with large scale problems is still a challenging task. This work is an effort towards handling large scale data with reduced computation load. To this end, the proposed framework tries to combine the advantages of the SVRG and PDMM algorithms. The algorithm is proved to converge with rate $mathcal{O}(1/K$ for strongly convex loss functions, which is faster than the existing algorithms. Experimental evaluations on the real data prove the efficacy of the proposed algorithm over the state of the art methodologies.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"120 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":"134017557","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
Frontal Facial Expression Recognition using Parallel CNN Model 基于并行CNN模型的正面面部表情识别
2020 National Conference on Communications (NCC) Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056011
Sagar Deep Deb, Chandraiit Choudhury, M. Sharma, F. Talukdar, R. Laskar
{"title":"Frontal Facial Expression Recognition using Parallel CNN Model","authors":"Sagar Deep Deb, Chandraiit Choudhury, M. Sharma, F. Talukdar, R. Laskar","doi":"10.1109/NCC48643.2020.9056011","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056011","url":null,"abstract":"Facial expression recognition is one of the very important research topics in computer vision. Studies on nonverbal communication have shown that 55% of intentional information is conveyed through facial expressions. Expression recognition has recently found a lot many applications in medical and advertising industries. In this paper we have proposed a parallel Convolutional Neural Network (CNN) structure for detection of expression from frontal faces. The CNNs are trained on two most important subfacial patches. The overall feature vector will be the features concatenated from the parallel models. We have experimentally found applying such a strategy provides better results than the models which take the entire facial image. We have also compared our performance with other benchmark CNN structures like AlexNet and VGG16.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","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":"123629151","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
Hankel Norm for Nonlinear Digital Systems with Hardware Limitations and External Input 具有硬件限制和外部输入的非线性数字系统的汉克尔范数
2020 National Conference on Communications (NCC) Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056047
Srinivasulu Jogi, Priyanka Kokil
{"title":"Hankel Norm for Nonlinear Digital Systems with Hardware Limitations and External Input","authors":"Srinivasulu Jogi, Priyanka Kokil","doi":"10.1109/NCC48643.2020.9056047","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056047","url":null,"abstract":"This paper concerns the stability behavior of digital systems associated with hardware limitations and implicit nonlinearity. The proposed criterion can be devoted to nonlinear digital systems using overflow arithmetic and external input with an insight to minimize the unwanted memory effects due to previous actions on future outputs. With the established criterion, the reduction of undesired memory effects (system ringing) can be verified through Hankel norm performance of nonlinear digital systems and also the asymptotic stability without external input. In order to validate the optimum reduction of ringing, the work is formulated in linear matrix inequality (LMI)-constraints as convex optimization problem by using Lyapunov theory and Lipschitz condition. Finally, the efficacy and validity of proposed criterion is verified with a numerical example from real nonlinear physical system such as recurrent neural network.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"57 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":"121566418","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 PAM-DMT Under Double sided Signal Clipping in IM/DD Based Systems 基于IM/DD的系统中PAM-DMT在双面信号裁剪下的性能分析
2020 National Conference on Communications (NCC) Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056086
V. Kishore, SaiKiran Kollikonda, V. V. Mani
{"title":"Performance Analysis of PAM-DMT Under Double sided Signal Clipping in IM/DD Based Systems","authors":"V. Kishore, SaiKiran Kollikonda, V. V. Mani","doi":"10.1109/NCC48643.2020.9056086","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056086","url":null,"abstract":"Due to the widespread of Light Emitting Diode (LED)s that are ambidextrous in performing simultaneous illumination and communication, Visible Light Communication (VLC) with huge bandwidth has been evolved as a new wireless technology to deliver high data rates. However, these LEDs possess nonlinear behaviour, come as front end devices in a VLC system, and cause clipping on the modulated signal that affects the performance. In this work, the effect of dual side signal clipping in Optical Wireless Communication (OWC) systems based on Pulse Amplitude Modulated-Discrete Multi-Tone (PAM-DMT) is investigated. Improper DC biasing and power rating of the front end device decides the amount of clipping. The analytical expression for the clipping noise power and an exact Bit Error Rate (BER) expression under clipping noise is presented. Along with BER performance, Peak-to-Average Power Ratio (PAPR) performance under the impact of uncorrelated clipping noise that arises from dual side clipping for various modulation orders, under different conditions is also examined.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"30 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":"123886081","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
Design of a 3-bit Chipless RFID Tag using Circular Split-Ring Resonators for Retail and Healthcare applications 用于零售和医疗保健应用的环形分环谐振器的3位无芯片RFID标签的设计
2020 National Conference on Communications (NCC) Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056018
Durga Prasad Mishra, T. K. Das, S. Behera
{"title":"Design of a 3-bit Chipless RFID Tag using Circular Split-Ring Resonators for Retail and Healthcare applications","authors":"Durga Prasad Mishra, T. K. Das, S. Behera","doi":"10.1109/NCC48643.2020.9056018","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056018","url":null,"abstract":"Chipless radio frequency identification (RFID) has emerged as an advanced, wireless, non-line-of-sight, data capturing and tracking radio communication technology. Now tagging technology is getting more efficient than optical barcodes. RFID technology has appeared as a promising alternative to replace optical barcodes. Based on the presence of application specific integrated circuit (ASIC), it is classified as chipped and chipless-RFID. Till now chipless RFID systems cannot compete with chipped RFID in terms of information storage capability, size, and tracking distances. One of the most valid reason that hinders the mass production of RFID tag is its cost which is due to the semiconductor unit present in the tag. Therefore, research has been focused on developing low-cost chipless RFID tags. Here circular split-ring resonator (SRR) based 3-bit chipless RFID tag is proposed, fabricated and analyzed. The performance characteristics are obtained through design and simulation using CST Microwave Studio and validated through measurements. Based on measurement results, the tag can provide a maintenance-free environment for wireless applications, viz. goods tracking, identity detection, and health applications.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"65 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":"122770041","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: 6
Analysis of Excitation Source Characteristics for Shouted and Normal Speech Classification 高声和正常语音分类的激励源特性分析
2020 National Conference on Communications (NCC) Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056079
Shikha Baghel, S. Prasanna, P. Guha
{"title":"Analysis of Excitation Source Characteristics for Shouted and Normal Speech Classification","authors":"Shikha Baghel, S. Prasanna, P. Guha","doi":"10.1109/NCC48643.2020.9056079","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056079","url":null,"abstract":"The present work is aimed at analysing the excitation source characteristics of normal and shouted speech. In this context, we analyze the Differenced Electroglottogram (DEGG) signal corresponding to different vowels. This work proposes two novel excitation source features that are estimated from DEGG signal. These features are (a) Open Phase Triangle Area (OPTA) and (b) Flatness of Glottal Cycle (FoGC). OPTA captures the effect of open phase duration and slope of DEGG signal. FoGC measures the change in source characteristics due to strength of excitation (SoE) and pitch period. A practical issue in using the proposed features is the unavailability of DEGG signal in most speech processing applications. To overcome this problem, the integrated linear prediction residual (ILPR) signal estimated from speech is considered as an approximation of DEGG. We show that the proposed features can be computed from ILPR signal in the absence of DEGG. It is observed that the proposed features (estimated from either DEGG or ILPR) are successful in discriminating shouted from normal speech.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"216 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":"132449506","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
Effect of Gaussian Correlated Channel on Uplink Channel Estimation for Massive MIMO with Nested Array at the Base Station 高斯相关信道对基地台嵌套阵列大规模MIMO上行信道估计的影响
2020 National Conference on Communications (NCC) Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9055992
Md. Afaque Azam, A. Mukherjee, A. Dutta
{"title":"Effect of Gaussian Correlated Channel on Uplink Channel Estimation for Massive MIMO with Nested Array at the Base Station","authors":"Md. Afaque Azam, A. Mukherjee, A. Dutta","doi":"10.1109/NCC48643.2020.9055992","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9055992","url":null,"abstract":"mmWave massive MIMO can support high data rate on account of enhanced spectral efficiency. Uplink channel estimation is an important intermediate problem. Usually channels between the base station and the user equipment is assumed IID, Rayleigh and flat fading. However, the antennas are closely packed together in a massive MIMO and local scatterers are present around the user equipment. This means that a correlated channel model is more realistic. In this paper, a Gaussian one ring scattering model for the channel is used. The uplink Linear Minimum Mean Square Error (LMMSE) channel estimator performance is analyzed, with a pilot reuse factor of L > 1. The upper limit of the estimation performance for varying degrees of correlation and pilot length is derived and verified by numerical experiments. In place of usual dense uniform linear array, a sparse nested array is employed at the base station. It is verified experimentally that the sparse array performs better when the channels are highly correlated. However, both arrays showed similar performance for the usual IID case when the correlation is small ((σφ>> 0.5).","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"69 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":"133432494","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
Effective Combination of Multiple Evidences for I-vector Based Limited Data Speaker Verification 基于i向量的有限数据说话人验证的多证据有效组合
2020 National Conference on Communications (NCC) Pub Date : 2020-02-01 DOI: 10.1109/NCC48643.2020.9056033
K. Dutta, D. Pati
{"title":"Effective Combination of Multiple Evidences for I-vector Based Limited Data Speaker Verification","authors":"K. Dutta, D. Pati","doi":"10.1109/NCC48643.2020.9056033","DOIUrl":"https://doi.org/10.1109/NCC48643.2020.9056033","url":null,"abstract":"The performance of automatic speaker verification (ASV) system always depends upon the amount of information (speech sample) used in the process. ASV system's performance suffers when the information provided to the system is limited, even though the methodology is remain same. The issue of limited information can be resolved to some extend by using multiple evidences. In general, score level combination scheme is widely used to combine the effect of multiple evidences, where a decision is made based on the independent opinions of the evidences. We conjecture that the collectively contributed decisions may be more effective and propose a new combination scheme for limited data speaker verification task. In the proposed work, we have used mel frequency cepstral coefficient (MFCC) and residual MFCC (RMFCC) as representation of the vocal tract and excitation source information. The experiments are conducted with well-known NIST-2003 speaker recognition evaluation (SRE) database. The score level combination scheme provide a relative improvement of 14.93% in extremely limited data condition (≃ 2 sec), on an average 15.57% for all limited data conditions. In comparison, the proposed scheme provides 28.40% and 29.02%, respectively. Thus proposed method provides a relative gain of 13.47% for extremely limited data condition and on an average 13.42% for other limited data conditions. These experimental results signify the importance of using proposed combination scheme over the popular score level combination scheme.","PeriodicalId":183772,"journal":{"name":"2020 National Conference on Communications (NCC)","volume":"25 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":"132150889","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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