2020 International Conference on Communication and Signal Processing (ICCSP)最新文献_第10页

Acoustic Scene Classification in Hearing aid using Deep Learning 基于深度学习的助听器声场景分类

2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182160

VS Vivek, S. Vidhya, P. MadhanMohan

引用次数: 9

An Efficient De-blocking Filter for Quality Improvement of Medical Image Analysis 一种提高医学图像分析质量的高效去块滤波器

2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182252

K. Sankaran, P. Srikanth, S. Basha, Y. Subbarayudu

引用次数: 0

EXTRA: An Extended Radial Mean Response Pattern for Hand Gesture Recognition 一种扩展的径向平均响应模式用于手势识别

2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182207

Gopa Bhaumik, Monu Verma, M. C. Govil, S. Vipparthi

{"title":"EXTRA: An Extended Radial Mean Response Pattern for Hand Gesture Recognition","authors":"Gopa Bhaumik, Monu Verma, M. C. Govil, S. Vipparthi","doi":"10.1109/ICCSP48568.2020.9182207","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182207","url":null,"abstract":"Hand gesture recognition (HGR) has gained significant attention in recent year due to its varied applicability and ability to interact with machines efficiently. Hand gestures provide a way of communication for hearing-impaired persons. The HGR is a quite challenging task as its performance is influenced by various aspects such as illumination variations, cluttered backgrounds, spontaneous capture, multi-view etc. Thus, to resolve these issues in this paper, we propose an extended radial mean response (EXTRA) pattern for hand gesture recognition. The EXTRA pattern encodes the intensity variations by establishing a reconciled relationship between local neighboring pixels located at two radials r1 and r2. The gradient information between radials preserves the transitional texture that enhances the robustness to deal with illuminations changes. Moreover, the EXTRA pattern holds extensive radial information, thus it can conserve both high level and micro level edge variations that filter hand posture texture from the cluttered background. Furthermore, the mean responsive relationship between adjacency radial pixels improves robustness to noise conditions. The proposed technique is evaluated on three standard datasets viz NUS hand posture dataset-I, MUGD and Finger Spelling dataset. The experimental results and visual representations show that the proposed technique performs better than the existing algorithms for the purpose intended.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122515454","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: 5

Experimental Study of Fog Effect on Wireless Optical Communication Channel for Visible Wavelengths 可见光无线光通信信道雾效应的实验研究

2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182431

Deepika Verma, S. Prince

引用次数: 1

Multi-Model Fake News Detection based on Concatenation of Visual Latent Features 基于视觉潜在特征拼接的多模型假新闻检测

2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182398

Vidhu Tanwar, K. Sharma

{"title":"Multi-Model Fake News Detection based on Concatenation of Visual Latent Features","authors":"Vidhu Tanwar, K. Sharma","doi":"10.1109/ICCSP48568.2020.9182398","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182398","url":null,"abstract":"Online Social media for news consumption is a double-edged sword. If we ponder on the positives outcomes for this, it includes easy access, negligible cost, smart categorization and out reach to the very customer in seconds. But, as every coin has two sides and when we flip side of this, a series of issues come up which need immediate attention and most important among them is spreading of fake news. This has become a serious threat for the governments of countries to keep their harmony intact, keep faith of public in democracy and justice and sustenance of public trust. Therefore fake news detection, especially in social media platform has become an emerging research topic that is attracting tremendous attention. Current set of detection algorithms are specially showing their inability to learn the shared representation of texts and visuals combined (popularly known as multimodal) information. Therefore, we present a variational auto encoder based framework, which consists of three major components encoder, decoder and fake news detector. It utilize the concatenation of visual latent features from three popular CNN architecture (VGG19, ResNet50, InceptionV3) combined with textual information to detect fake news with the help of binary classifier. We conducted the experiment on publically available Twitter dataset. The experimental result shows that out model improves state of the art method by the margin of $sim$2% in accuracy and $sim$3% in F1-score.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128582107","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

Enhanced Storage Management Optimization in IaaS Cloud Environment IaaS云环境下增强的存储管理优化

2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182114

A. Devarajan, T. Sudalaimuthu, K. Sankaran

{"title":"Enhanced Storage Management Optimization in IaaS Cloud Environment","authors":"A. Devarajan, T. Sudalaimuthu, K. Sankaran","doi":"10.1109/ICCSP48568.2020.9182114","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182114","url":null,"abstract":"Cloud computing is unavoidable significant development that utilizes progressive related to IaaS. The storage is increasing day by day due to upgrades in data distribution and data storing in IaaS services. Having lot of benefit of cloud such as scalability, accessibility, cost saving, almost all industry is interested in shifting their data to cloud storage. With this IaaS services, it is essential to know the biggest challenge related to the data storage management capabilities and also distribution across numerous customer. This also has impact on performance and user experience related to the bandwidth utilization. In this paper the proposed Storage Management Optimization (SMO) eliminates duplicate data to save storage space and increase bandwidth utilization with respect to storage speed of network. The well-structured metadata is used to identify duplication on the corresponding data elements. Evaluation of a metadata prototype helps to analyze the file access patterns of user and to determine the future access prediction in terms of frequent accessibility ranking system. The SMO system generates a dashboard having details related to application data files and access details. Implementation using the proposed system SMO in simulation platform can show space optimization upto 11.85% than the normal system and bandwidth increases with respect to accessibility at the rate almost 84%.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115430566","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 Signal Processing Algorithm for Optical Coherence Tomography 光学相干层析成像信号处理算法的发展

2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182121

Kranti Patil, Anurag Mahajan, S. Balamurugan, P. Arulmozhivarman, R. Makkar

{"title":"Development of Signal Processing Algorithm for Optical Coherence Tomography","authors":"Kranti Patil, Anurag Mahajan, S. Balamurugan, P. Arulmozhivarman, R. Makkar","doi":"10.1109/ICCSP48568.2020.9182121","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182121","url":null,"abstract":"Optical Coherence Tomography (OCT) is a growing non-invasive imaging technology that is capable of generating high-resolution cross-sectional images and high processing speed. It is extensively used for the diagnosis of retinal diseases in ophthalmology, estimation of blood flow and in the field of oncology, cardiology, and dermatology as an imaging device. The spectral-domain OCT (SD-OCT) uses low coherence interferometry to get depth-resolved information of the sample with resolution in the micrometer range and imaging depth in the millimeter range. The complexity of the OCT algorithm demands high processing speed from the underlying platform. The aim is to develop the signal processing algorithm to achieve improved imaging depth. The methods such as background removal, re-sampling, FFT are used to get the desired depth profile of the sample. The response of the actual hardware model is predicted from the outputs. This depth profile gives the information of depth about the sample and the maximum depth depends on the number of pixel information obtained from the spectrometer.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"390 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115586231","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

Electricity Pilferage, Fault Detection and their Isolation for Power Quality enhancement in Electrical Distribution System by espouse SDS with Smart Switching Control based on μ PMU, IoT-LoRa technology 采用基于μ PMU、IoT-LoRa技术的智能开关控制结合SDS实现配电系统的窃电、故障检测与隔离，提高配电系统的电能质量

2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182348

Sharad Chandra Rajpoot, Prashant Singh Rajpoot, M. R. Khan

{"title":"Electricity Pilferage, Fault Detection and their Isolation for Power Quality enhancement in Electrical Distribution System by espouse SDS with Smart Switching Control based on μ PMU, IoT-LoRa technology","authors":"Sharad Chandra Rajpoot, Prashant Singh Rajpoot, M. R. Khan","doi":"10.1109/ICCSP48568.2020.9182348","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182348","url":null,"abstract":"In power system the distribution section is mostly affected system. This system is usual intricate and unbalance which affect the efficiency of power system by degrading the power quality. The most common causes by which performance of distribution system is degraded are power pilferage, unauthorized load connection, asynchronous communication and unscrupulous monitoring of system. For better quality of power system it should have the real time monitoring & controlling, synchronous communication and superior cyber security and fault management. In this paper we are introducing the integrated system which will acquire the concept of Micro Phasor Measurement Unit ($mu$ PMU), Internet Of Things (IoT) based wireless communication LoRa. This integrated system will provide the real time monitoring, synchronous communication among the different elements of the system along with the encrypted form of the cyber security. It assist in the load shedding, load management and their forecasting.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114458578","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

Task identification in Massive MIMO Technology for Its Effective Implementation in 5G and Satellite Communication 大规模MIMO技术在5G和卫星通信中的任务识别

2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182428

J. Chattopadhyay, Spv . Subba Rao

引用次数: 2

Piecewise-Polynomial Function Evaluation in 3-D Graphics- Artificial Intelligence based New Digital Multiplier 三维图形中的分段多项式函数评估——基于人工智能的新型数字乘法器

2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182208

M. Renuka, G. Valantina

引用次数: 0