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2020 IEEE Applied Signal Processing Conference (ASPCON)最新文献

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An Evaluation of Machine Learning Classifiers for Detection of Myocardial Infarction Using Wavelet Entropy and Eigenspace Features 基于小波熵和特征空间特征的心肌梗死机器学习分类器评价
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276680
Pharvesh Salman Choudhary, S. Dandapat
{"title":"An Evaluation of Machine Learning Classifiers for Detection of Myocardial Infarction Using Wavelet Entropy and Eigenspace Features","authors":"Pharvesh Salman Choudhary, S. Dandapat","doi":"10.1109/ASPCON49795.2020.9276680","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276680","url":null,"abstract":"This study aims to compare the utility of several machine learning (ML) algorithms for predicting Myocardial infarction (MI) from multi-lead electrocardiogram (ECG). Wavelet-based features are used for the evaluation, as wavelet decomposition of ECG segregates clinical components into different subbands. The pathological changes are reflected in these sub-bands and are captured by wavelet entropy and eigenspace based features. The Physikalisch-Technische Bundesanstalt (PTB) diagnostic database consisting of healthy and different types of MI is used for evaluation. The results show that the K-nearest neighbour (KNN) algorithm with the nearest neighbour set to six obtained the best result among the ML classifiers with F1-score of 0.97 and 0.94 for MI detection and localization respectively. The performance of the support vector machine (SVM) with radial basis function (RBF) kernel obtained an F1-score of 0.96 and 0.92 for detection and localization respectively. The results obtained using classical ML classifiers were also compared with the performance of 1-dimensional convolutional neural network (CNN).","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124901845","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
[ASPCON 2020 Title page] [ASPCON 2020标题页]
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/aspcon49795.2020.9276721
{"title":"[ASPCON 2020 Title page]","authors":"","doi":"10.1109/aspcon49795.2020.9276721","DOIUrl":"https://doi.org/10.1109/aspcon49795.2020.9276721","url":null,"abstract":"","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130268506","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
Locality Preserving Projection Based Multiple Copy-Paste Forgery Detection 基于局部保留投影的多重复制粘贴伪造检测
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276674
Anjali Diwan, A. Roy, S. Mitra
{"title":"Locality Preserving Projection Based Multiple Copy-Paste Forgery Detection","authors":"Anjali Diwan, A. Roy, S. Mitra","doi":"10.1109/ASPCON49795.2020.9276674","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276674","url":null,"abstract":"Digital images are the dominant media of information in the digital world and used to convey the desired information. It has been noticed that manipulated images are put to wrong use to create a false perception about the image or story in support. Copy-paste forgery is one of the most exploited image manipulation approaches. In recent years the research community has proposed many methods for the detection of such forgery. In this work, the copy-paste forgery has been detected and localized by the proposed scheme using locality preserving projection (LPP). As the processing level increases, changes in pixel intensity and statistical changes in image pixels increase, which reduces the accuracy of localization. Similarity preserving property of LPP is used for developing a multifaceted method for copy-paste forgery detection for images attacked with various post-processing.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124885873","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
Improved Endoscopic Polyp Classification using GAN Generated Synthetic Data Augmentation 利用GAN生成的合成数据增强改进内镜息肉分类
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276732
Pradipta Sasmal, M. Bhuyan, Sourav Sonowal, Y. Iwahori, K. Kasugai
{"title":"Improved Endoscopic Polyp Classification using GAN Generated Synthetic Data Augmentation","authors":"Pradipta Sasmal, M. Bhuyan, Sourav Sonowal, Y. Iwahori, K. Kasugai","doi":"10.1109/ASPCON49795.2020.9276732","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276732","url":null,"abstract":"Early diagnosis of cancer in polyps detected in the endoscopic video frames helps in better prognosis and clinical management. For this, the polyp regions are exhaustively analyzed by an endoscopist. In this paper, an automated polyp classifier in a deep learning framework is proposed. As the availability of ground truth data for colonic polyp is always in paucity, data augmentation is indispensable in such task. Our work proposes the use of Generative adversial networks (GANs) for synthetic data generation. For classification, a CNN is trained which discriminate between normal (benign) and cancer (malignanat) polyps. Experiments carried on two databases prove that the proposed data augmentation technique can efficiently be used in the classification of colonic polyps. Also, our proposed method compares the performance achieved using classical augmentation approach which is generally considered in limited data scenario. Experimental results show that the classification accuracy is competitive to the state-of-the-art methods.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121211440","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: 7
Generalized Benford’s Law for Fake Fingerprint Detection 伪指纹检测的广义Benford定律
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276660
Govind Satapathy, Gaurab Bhattacharya, N. Puhan, A.T.S. Ho
{"title":"Generalized Benford’s Law for Fake Fingerprint Detection","authors":"Govind Satapathy, Gaurab Bhattacharya, N. Puhan, A.T.S. Ho","doi":"10.1109/ASPCON49795.2020.9276660","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276660","url":null,"abstract":"Human fingerprints are considered to be the most extensively used modality in state-of-the-art biometric based security systems. A newly developed potential threat occurs in the form of specialized fake fingerprint, known as the double-identity fingerprint which is created by careful alignment of two genuine fingerprints to ensure smooth ridges at the intersection points and with high chance of being matched by the criminal as well as accomplice. In this paper, we propose a countermeasure to resolve this problem with generalized Benford’s law in conjunction with support vector machine classification. The generalized Benford’s law is found to validate the probability distribution of first nonzero digits from block-DCT coefficients of genuine fingerprint images. The experimental results support that the synthesized fake double-identity fingerprints do not inherently follow the generalized Benford’s law and hence the proposed method can be effective to discriminate from the genuine class with high accuracy.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122388834","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
Latitudinal Dependency of Solar Irradiance - Solar Flare Index Relation over India during 1986–2018 1986-2018年印度太阳辐照度-太阳耀斑指数关系的纬度依赖性
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276665
Soumya Roy, A. Prasad, S. C. Panja, S. N. Patra
{"title":"Latitudinal Dependency of Solar Irradiance - Solar Flare Index Relation over India during 1986–2018","authors":"Soumya Roy, A. Prasad, S. C. Panja, S. N. Patra","doi":"10.1109/ASPCON49795.2020.9276665","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276665","url":null,"abstract":"The relation between solar activity indices and earth atmosphere is studied in this current investigation using correlation as well as periodic analysis. The solar flare index and solar irradiance signal of India over different latitude values are considered in this study as solar activity indices and Earth atmospheric parameter respectively. To evaluate their relationship, last 33 years (1986 – 2018) of data is considered which covers solar cycle 22, 23 and almost the complete solar cycle 24. The solar irradiance of India over different considered geographical location has a positive correlation during solar cycle 23 and a negative correlation during solar cycle 24 with solar flare index. It has also been observed that the maximum correlation is exist between 5° - 10° latitude and 30° - 35° latitude data and the correlation has an increasing trend with higher latitude. The periodicity analysis of solar irradiance signal exhibits a similar type of inherent period with solar flare index as well as other activity indices. It can be suggested that the effect of the solar flare index is exists on the solar irradiance signal of India over different considered geographical location according to the current statistical investigation during solar cycle 22 – 24.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126917785","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
An approach to control “Magnitude Modulation index” of Electric Spring for improved Performance 一种控制电弹簧“幅度调制指数”以提高性能的方法
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276704
Saptarshi Ray, S. Biswas, T. Nag, D. Chatterjee
{"title":"An approach to control “Magnitude Modulation index” of Electric Spring for improved Performance","authors":"Saptarshi Ray, S. Biswas, T. Nag, D. Chatterjee","doi":"10.1109/ASPCON49795.2020.9276704","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276704","url":null,"abstract":"Electric spring is a new concept in arena of conventional AC Power system. In comparison with conventional STATCOM, FACTS equipment, Electric Spring has an edge over both active and reactive power controllability. Introduction of solid state devices in power system provokes harmonic disturbance and affects equipment performance. Hence it is also very crucial to ensure to control harmonics presence in power system. This paper delve in delve into a new mechanism of ES for faster operation and better THD.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116035459","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
Real-time condition monitoring system for LED luminaires – An approach LED灯具实时状态监测系统
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276724
Amartya Roy, A. Ganguly, B. Roy
{"title":"Real-time condition monitoring system for LED luminaires – An approach","authors":"Amartya Roy, A. Ganguly, B. Roy","doi":"10.1109/ASPCON49795.2020.9276724","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276724","url":null,"abstract":"The use of LED luminaires in both indoor and outdoor lighting applications has been growing up significantly since the commercial availability of white LED luminaires. Although the useful life of LEDs is about fifty thousand hours, failures of LED luminaires, installed in real-time applications, are observed within much less period. This paper describes a real-time condition monitoring scheme for LED luminaires which is necessary to maintain designed average illuminance and overall uniformity over the target working plane. The working of the conceived scheme is first evaluated by the PROTEUS software where a PIC 18F 4550 microcontroller is used as the main control unit of the system. A hardware prototype of the simulated system is fabricated and tested experimentally. Details of both of the software simulation and hardware implementation are presented in this paper.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134538775","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
Optimal Coordination of Over-current Relay Using Particle Swarm Optimization (PSO) Algorithm 基于粒子群优化算法的过流继电器优化协调
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276703
Pankaj Kumar Choudhary, Dushmanta Kumar Das
{"title":"Optimal Coordination of Over-current Relay Using Particle Swarm Optimization (PSO) Algorithm","authors":"Pankaj Kumar Choudhary, Dushmanta Kumar Das","doi":"10.1109/ASPCON49795.2020.9276703","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276703","url":null,"abstract":"In the distribution network of power system, for protection of electrical systems the coordination of over-current (OC) relays is most essential for primary as well as secondary relay protection. In fault condition, it is required to minimize the total operating time of relay. Therefor, it can reduce the damage occurs in the system. It is also ensure that relay does not operate during normal condition. In OC relay coordination problem, the main objective is optimizing the sum of total operating time of functioning relays. In the current paper, coordination of constraint type OC relays in a radial fed distribution system is developed as an optimization problem using Particle Swarm Optimization(P SO) algorithm. This system shows that the plug settings and time dial setting (T DS), are an important aspect for operating time of relays. The obtain results from the PSO algorithm are compared with other existing optimization algorithms and it shows that the current technique gives minimal relay operating time with optimized TDS. From the result analysis, the obtained results by using PSO is efficient, simple and precise.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122571862","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: 3
Spotting misinformation to limit the impact of disruption on society by using machine learning 利用机器学习发现错误信息，限制破坏对社会的影响
2020 IEEE Applied Signal Processing Conference (ASPCON) Pub Date : 2020-10-07 DOI: 10.1109/ASPCON49795.2020.9276723
Deblina Kar
{"title":"Spotting misinformation to limit the impact of disruption on society by using machine learning","authors":"Deblina Kar","doi":"10.1109/ASPCON49795.2020.9276723","DOIUrl":"https://doi.org/10.1109/ASPCON49795.2020.9276723","url":null,"abstract":"Deceptive information attracts most and it creates most dangerous impact on society. As we know, fighting against pandemic is as dangerous as fighting against infodemic, so we have to find a solution to limit the impact of disruption on society. To win the battle, first we need to spot misinformation and in this case machine learning gives us a stunning result. To put a stop to the spread of viral deceptive information, it is important to identify them first. In this paper, after introducing the dataset, various operations are done, where natural language processing (NLP) plays an important role. Here, machine learning algorithm recurrent neural network (RNN), convolutional neural network (CNN), support vector machine (SVM), naïve Bayes are used to spot misinformation. In this paper, the future research direction, the challenges are also mentioned. To overcome such problems the predicted solution is also discussed.","PeriodicalId":193814,"journal":{"name":"2020 IEEE Applied Signal Processing Conference (ASPCON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128399631","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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