发布求助
文献互助 智能选刊 最新文献

2020 International Conference on Communication and Signal Processing (ICCSP)最新文献

筛选
英文 中文
A Novel Sentiment Classification of Product Reviews using Levenshtein Distance 基于Levenshtein距离的产品评论情感分类
2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182198
T. Anjali, T. Krishnaprasad, P. Jayakumar
{"title":"A Novel Sentiment Classification of Product Reviews using Levenshtein Distance","authors":"T. Anjali, T. Krishnaprasad, P. Jayakumar","doi":"10.1109/ICCSP48568.2020.9182198","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182198","url":null,"abstract":"E-commerce platform has brought about a revolutionary change in the way people conduct shopping. In India, the number of digital buyers in 2016 was 130.4 million and by 2021 the number is estimated to increase to around 400 million. In this paper we propose a Levenshtein distance based sentiment classification engine that reads the reviews across different websites for a given product, eventually providing a metric that would help the user in making an informed choice of product.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"37 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":"124006776","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
Detection of Fractures in Long Bones for Trauma Centre Patients using Hough Transform 利用霍夫变换检测创伤中心患者长骨骨折
2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182222
S. Pathare, Rutuja P. Solkar, Gajanan D. Nagare
{"title":"Detection of Fractures in Long Bones for Trauma Centre Patients using Hough Transform","authors":"S. Pathare, Rutuja P. Solkar, Gajanan D. Nagare","doi":"10.1109/ICCSP48568.2020.9182222","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182222","url":null,"abstract":"Detection of fractures in the bone are very important in case of trauma or accidents. It is critical to identify the fractures as early as possible. However, many times due to minor cracks, the fracture may not be clearly visible in the X Ray Image. The aim of this project is to develop an image processing based efficient system for a quick and accurate classification of bone fractures based on the information gained from the x-ray / CT images. Images of the fractured bone are obtained from hospital and processing techniques like segmentation, edge detection and feature extraction methods are adopted. These images were processed in a developed tool to detect minor fractures and broken bones.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"174 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":"126175555","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
Cluster Detection and Maintenance in Mobile Wireless Network Users 移动无线网络用户群检测与维护
2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182138
R. Aiswarya, S. Surendran
{"title":"Cluster Detection and Maintenance in Mobile Wireless Network Users","authors":"R. Aiswarya, S. Surendran","doi":"10.1109/ICCSP48568.2020.9182138","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182138","url":null,"abstract":"Clustering plays a major role in the connectivity of nodes in a mobile ad-hoc wireless network. Due to the mobility of nodes, topology of the network becomes dynamic. Clustering in these flat networks help in managing the overall connectivity of the network. In this paper, we propose a cluster maintenance scheme in a dynamically varying network topology. The network is modeled as an evolving weighted graph. Based on the structural and geographical similarity of nodes, clusters will be formed. An incremental approach is proposed for cluster maintenance using the geographical location and mobility pattern of nodes. The results show that this clustering scheme is effective in mobile ad-hoc networks.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"1 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":"129339778","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
Comparative Study of Deep Learning Models for Vehicle Detection in an Unconstrained Road Scenario 无约束道路场景下车辆检测的深度学习模型比较研究
2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182346
J. Sehgal, Mriganka Sharma, Joyjit Chatterjee, Anu Mehra
{"title":"Comparative Study of Deep Learning Models for Vehicle Detection in an Unconstrained Road Scenario","authors":"J. Sehgal, Mriganka Sharma, Joyjit Chatterjee, Anu Mehra","doi":"10.1109/ICCSP48568.2020.9182346","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182346","url":null,"abstract":"Over the past few years, deep learning has played a tremendous role in real time object detection, recognition and classification. Today, algorithms use deep learning not only for simple object detection but have also paved way for vehicle detection that is complex situation such as Indian roads. Different deep learning models can learn features of varied complexity and perform according to surrounding environment in which they are deployed. In this paper a comparison of six models is performed for detection of vehicles on roads that are unstructured or unconstrained. Till date, deep learning algorithms are being used for vehicle (car, bus, truck, motorcycle etc.) detection. A dataset based on Indian road scenario has been used for training on models: faster RCNN and Single Shot Detector (SSD) combined with convolution classifiers mobilenet, resnet and inceptionnet. The six models are compared by evaluating mean average precision (mAP) and classification time complexity for IDD dataset. The observations suggested faster RCNN Resnet50 resolves the trade-off of time and accuracy. Whereas SSD mobilenet V1 takes 31.89% less time than faster RCNN resnet101. On the flipped side, faster RCNN resnet101is 34.38% more accurate than SSD mobilenet v1.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"3 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":"132462145","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
Effect Of Dielectric Pocket on TFET at Source/Channel Junction in Buried SiGe Strained Source 埋置SiGe应变源源/通道结处介电袋对TFET的影响
2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182188
A. Mudgal, Anu Mehra, Intekhab Amin
{"title":"Effect Of Dielectric Pocket on TFET at Source/Channel Junction in Buried SiGe Strained Source","authors":"A. Mudgal, Anu Mehra, Intekhab Amin","doi":"10.1109/ICCSP48568.2020.9182188","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182188","url":null,"abstract":"This simulation study aims to observe the effects of a dielectric pocket at in a buried SiGe strained source. Different dielectric combinations were used and corresponding device performance were observed using Silvaco TCAD simulator. It was noted that low-k dielectric in Dielectric Pocket offers improved On current and Subthreshold Slope while showing reduced ambipolarity. Further, SiO2 as dielctric material inside the channel offers superior performance when compared to other cases that were takeninto account in this study.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"1 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":"131284873","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
Comparison of Luminescence Efficiency of Materials in Organic Light Emitting Diode 有机发光二极管中材料发光效率的比较
2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182245
Diana Emerald Aasha, S. Prince
{"title":"Comparison of Luminescence Efficiency of Materials in Organic Light Emitting Diode","authors":"Diana Emerald Aasha, S. Prince","doi":"10.1109/ICCSP48568.2020.9182245","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182245","url":null,"abstract":"The major objective of the paper is to work on reducing the increase in the amount of electronic-waste which can be resolved by using Organic material which can be used in Organic Light Emitting Diode (OLED) which in turn is used in lighting applications. The paper compares the different materials used in OLEDs’. So here the band gap, Highest Occupied Molecular Orbital (HOMO) and Lowest Unoccupied Molecular Orbital (LUMO) of already existing Alq3 material is compared with Phosphorene. The Phosphorene material gives minimum band gap which in turn can increase the luminescence efficiency of OLED.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"1 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":"129173102","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
Digital Innovation in Industry 4.0 Era – Rebooting UAE’s Retail 工业4.0时代的数字创新——重启阿联酋零售业
2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182301
Kamaladevi Baskaranl, Srinivasan Rajavelu
{"title":"Digital Innovation in Industry 4.0 Era – Rebooting UAE’s Retail","authors":"Kamaladevi Baskaranl, Srinivasan Rajavelu","doi":"10.1109/ICCSP48568.2020.9182301","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182301","url":null,"abstract":"The emergence of Digital Innovation in Industry 4.0 Era towards online retail industry has transformed the way the business is carried out. The e-commerce industry has the potential to boost economic growth and social development. Economic sectors such as finance, communication, labor and retail trade has larger impact by e-commerce. It holds promise in areas such as transport, education, infrastructure, employment and government. A combination of technology innovation and regulatory reforms has enabled e-commerce to evolve and thrive. Barriers in electronic commerce affecting buyers and sellers have declined compared to the past. Still it will travel towards zero barriers during Industry 4.0 Era. This paper explores the impact of e-commerce sector success on the economic growth of the UAE. The factors affecting e-commerce development will be expounded to determine the policy initiatives that need to be implemented in the UAE. This paper also proposes appropriate e-commerce approaches to boost development and address challenges that hinder economic growth. The rapid development of technology has incentivized most countries to leverage on opportunities of the digital economy. In UAE, the e-commerce sector is on the verge of a pivotal shift. It is becoming a reality by forming new customer experiences, reinvesting shopping trends, disrupting business models and harnessing the growth of new e-commerce players and SME’s. The study assesses the current e-commerce market dynamics in UAE by exploring the effect of e-commerce sector on UAE’s economic growth, benefits and barriers of e-commerce development and the positive contribution of the industry to economic growth. The e-commerce industry has a significant influence on the economy of a country. Therefore, the affiliation between e-commerce and economic growth is deemed important.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"3 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":"128846367","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
Solar Powered IoT based Garbage Collection System 基于太阳能物联网的垃圾收集系统
2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182257
Siddharth Singh, P. Baruah, S. Rai, R. Karsh
{"title":"Solar Powered IoT based Garbage Collection System","authors":"Siddharth Singh, P. Baruah, S. Rai, R. Karsh","doi":"10.1109/ICCSP48568.2020.9182257","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182257","url":null,"abstract":"Garbage Collection is one of the major obstacles that is faced by every municipal corporation. Each municipality tries to find the most efficient way of garbage collection by manually understanding the distribution pattern in a city. This is followed by the distribution of vehicles and workers to different wards and hence creating a hierarchy. The problem lies in the fact that this system is not very efficient and is still untouched by any technical innovation and hence there lies a big scope of improvement by the use of technology. What we suggest is a simple yet robust system that is built upon the use of a network of sensors connected to the internet, providing real-time information about the current state of garbage distribution hence removing the Human-error in the distribution of resources to different areas of a city. The use of Solar energy creates a self-sustaining system which is capable of providing all the data that is required for an automated system.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"42 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":"125564544","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
ECG Signal Compression based on Wavelet Parameterization and Thresholding using PSO 基于PSO的小波参数化和阈值化心电信号压缩
2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182407
Paridhi Singhai, A. Ateek, Anil Kumar, I. Ansari, S. Bhalerao
{"title":"ECG Signal Compression based on Wavelet Parameterization and Thresholding using PSO","authors":"Paridhi Singhai, A. Ateek, Anil Kumar, I. Ansari, S. Bhalerao","doi":"10.1109/ICCSP48568.2020.9182407","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182407","url":null,"abstract":"This paper presents an electrocardiogram (ECG) compression algorithm based on discrete wavelet transform (DWT) and particle swarm optimization (PSO). This technique uses PSO to find the optimal values of wavelet design parameters and threshold levels for ECG compression. In this method, ECG signal is segmented into different sub-bands to obtain the wavelet coefficients. Then, threshold values for each sub- band are selected using PSO. The coefficients with value below the threshold level are left, and the significant coefficients are encoded using modified run length encoding. The performance measures used in this paper are quality score (QS), compression ratio (CR), signal-to-noise ratio (SNR) and percentage root-mean-square difference (PRD). This method is capable of providing higher compression ratio with minimum distortion in ECG signal. Compression ratio obtained using this algorithm is 28.43 at PRD=2.63.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"30 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":"126684903","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
Object Recognition and Classification System for Visually Impaired 视障对象识别与分类系统
2020 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2020-07-01 DOI: 10.1109/ICCSP48568.2020.9182077
Rashika Joshi, Meenakshi Tripathi, Amit Kumar, M. Gaur
{"title":"Object Recognition and Classification System for Visually Impaired","authors":"Rashika Joshi, Meenakshi Tripathi, Amit Kumar, M. Gaur","doi":"10.1109/ICCSP48568.2020.9182077","DOIUrl":"https://doi.org/10.1109/ICCSP48568.2020.9182077","url":null,"abstract":"There have been diverse accounts of research relating to navigation assistance for the visually impaired. Using the object recognition approach, we aim to assist the blind to travel independently with the ability to identify any obstacles the the path. The subject now is to identify a solution that is low powered, easily portable and still effective. The system consists of Jetson Nano ported with the trained deep learning model and is interfaced with camera, that acts as a easy-to-use platform for object recognition, speech processing and image classification. Tests indicate that system is accurate and functions as navigation assistant.","PeriodicalId":321133,"journal":{"name":"2020 International Conference on Communication and Signal Processing (ICCSP)","volume":"30 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":"116629557","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: 10
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信