2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)最新文献_第2页

Detection of Stroke Disease using Machine Learning Algorithms 使用机器学习算法检测中风疾病

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944689

Tasfia Ismail Shoily, Tajul Islam, Sumaiya Jannat, Sharmin Akter Tanna, Taslima Mostafa Alif, Romana Rahman Ema

引用次数: 23

Traffic Sign Recognition and Classification Using YOLOv2, Faster RCNN and SSD 使用YOLOv2，更快的RCNN和SSD的交通标志识别和分类

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944491

Priyam Garg, D. Chowdhury, V. More

{"title":"Traffic Sign Recognition and Classification Using YOLOv2, Faster RCNN and SSD","authors":"Priyam Garg, D. Chowdhury, V. More","doi":"10.1109/icccnt45670.2019.8944491","DOIUrl":"https://doi.org/10.1109/icccnt45670.2019.8944491","url":null,"abstract":"In the walk of Advanced Driving Assistance Systems (ADAS), Intelligent Driving and Traffic safety, Object detection plays a crucial role in the upcoming genesis of self-governing vehicles. Traditional computer vision and machine learning advances for object detection confront challenges against the difficult image backgrounds and environment conditions like sunlight effects, barricades and occlusions. In this paper, Single Shot Detector (SSD), Faster Region Convolutional Neural Network (Faster RCNN) and You Only Look Once (YOLOv2) deep learning architectures are compared by applying distinct pretrained Convolutional Neural Network (CNN) models. Experiments have been organized in a wide range to attain distinct models of Faster RCNN, SSD and YOLOv2 through appropriate modification in algorithms and parameters tuning. In this work, SSD, Faster RCNN and YOLOv2 are trained for 5 different object classes of traffic signs and their outcomes are evaluated. Traditional Evaluation parameters: mAp(mean Average precision-Precision, Recall and IoU) and FPS(Frames per second) are run-down to analyze the accuracy and speed of the algorithms. On analyzing, the accuracy of YOLOv2 outperforms Faster RCNN and SSD by 3.5% and 21% respectively. Also, YOLOv2 learned 3 times speedy than Faster RCNN with increased accuracy.","PeriodicalId":438405,"journal":{"name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123416252","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: 11

Capitalizing Diversity for Efficiency Enhancement in Multi-Population Swarm Algorithms 利用多样性提高多种群群算法的效率

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944872

R. Chaudhary, H. Banati

引用次数: 0

Denoising of ECG Signal using Computationally Efficient Linear Phase Filtering 基于高效线性相位滤波的心电信号去噪

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944464

S. Chandra, Ambalika Sharma, G. Singh

引用次数: 0

Face-Pose Estimation for Learning Systems 人脸姿态估计的学习系统

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944514

Marwa A. Gaheen, A. Ewees, Fifi Farouk

引用次数: 6

Blockchain and Anomaly Detection based Monitoring System for Enforcing Wastewater Reuse 区块链和基于异常检测的废水回用监测系统

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944586

Sreerag Iyer, Snehal Thakur, Mihirraj Dixit, Rajneesh Katkam, Ashish Agrawal, F. Kazi

{"title":"Blockchain and Anomaly Detection based Monitoring System for Enforcing Wastewater Reuse","authors":"Sreerag Iyer, Snehal Thakur, Mihirraj Dixit, Rajneesh Katkam, Ashish Agrawal, F. Kazi","doi":"10.1109/icccnt45670.2019.8944586","DOIUrl":"https://doi.org/10.1109/icccnt45670.2019.8944586","url":null,"abstract":"Industries, household communities consume a lot of water on regular basis, thereby increasing water crisis. There is continuous increase in water consumption by industries. Reusing wastewater can reduce water withdrawals from local water sources thus increasing water availability, lowering wastewater discharges and their pollutant load, reducing thermal energy consumption and, potentially, processing cost. Various ways have been implemented for recycling the generated wastewater. Wastewater must be reused for the benefit of mankind. In this paper we propose a wastewater recycle control system to efficiently manage the wastewater and coordinate it among the industries and the government. Blockchain technology has been deployed for storing data and developing an incentive model to encourage wastewater reuse. Tokens are provided to industries in proportion to quantity and quality of reused wastewater. Rules for issue and trade of these tokens are written as a smart contract. Unfortunately, providing such incentives also provides a motive for tampering the data on which these tokens are awarded. Anomaly detection algorithms are used to detect the potential frauds which take place in the system upon IoT meter data tampering. The system uses IoT meters that measure volume of wastewater generated and reused, along with quality metrics such as pH, hardness and oil content. Multiple machine learning algorithms are used to detect tampering- polynomial regression, DBSCAN, autoencoders and LSTM networks. Their performance has then been compared. A first implementation of this system and an evaluation of the system's performance are also presented.","PeriodicalId":438405,"journal":{"name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122040107","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: 13

PSO Based Improved Topology for MLI Considering Low THD and Low Switching Loss 考虑低THD和低开关损耗的基于粒子群算法的MLI改进拓扑

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944546

R. Mohanty, D. Chatterjee, S. Suman, Gopinath Sengupta

引用次数: 4

Trustworthy Management in Decentralized IoT Application using Blockchain 使用区块链的分散式物联网应用中的可信管理

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944797

B. Mohanta, Soumyashree S. Panda, Utkalika Satapathy, Debasish Jena, Debasis Gountia

{"title":"Trustworthy Management in Decentralized IoT Application using Blockchain","authors":"B. Mohanta, Soumyashree S. Panda, Utkalika Satapathy, Debasish Jena, Debasis Gountia","doi":"10.1109/icccnt45670.2019.8944797","DOIUrl":"https://doi.org/10.1109/icccnt45670.2019.8944797","url":null,"abstract":"Internet of Things (IoT) as per estimated will connect 50 billion devices by 2020. Since its evolution, IoT technology provides lots of flexibility to develop and implement any application. Most of the application improves the human living standard and also makes life easy to access and monitoring the things in real time. Though there exist some security and privacy issues in IoT system like authentication, computation, data modification, trust among users. In this paper, we have identified the IoT application like insurance, supply chain system, smart city and smart car where trust among associated users is an major issue. The current centralized system does not provide enough trust between users. Using Blockchain technology we have shown that trust issue among users can be managed in a decentralized way so that information can be traceable and identify/verify any time. Blockchain has properties like distributed, digitally share and immutable which enhance security. For Blockchain implementation, Ethereum platform is used.","PeriodicalId":438405,"journal":{"name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129491057","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: 20

Autonomous Mobile Robot Navigation on Identifying Road Signs using ANN 基于神经网络的自主移动机器人导航道路标志识别

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944875

J. Majumdar, N. Giridhar, P. E. Gagan

引用次数: 1

Influence of Temperature and Rainfall Variability on T. Aman Rice Production in South-Western Coastal Area of Bangladesh 温度和降雨变率对孟加拉国西南沿海地区水稻生产的影响

2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2019-07-01 DOI: 10.1109/icccnt45670.2019.8944648

M. Shahadat, H. S. Mondal, Owana Marzia Moushi, Md. Bellal Hossain

{"title":"Influence of Temperature and Rainfall Variability on T. Aman Rice Production in South-Western Coastal Area of Bangladesh","authors":"M. Shahadat, H. S. Mondal, Owana Marzia Moushi, Md. Bellal Hossain","doi":"10.1109/icccnt45670.2019.8944648","DOIUrl":"https://doi.org/10.1109/icccnt45670.2019.8944648","url":null,"abstract":"Climate change has negative effect on paddy production all over the world. Erratic rainfall and temperature variability are mainly responsible for yield loss as well as crop failure. This research is based on the impact of long term rainfall and temperature vaiability on transplanted aman rice (T. Aman) in four districts of south-western coastal part of Bangladesh. As rice paddy is a major crop in that part of Bangladesh and it is harvested during June to November, when temperature variability and rainfall anomalies are more prominent. Hence, impact of these meteorological phenomenon on T. Aman rice production is likely. To study climatic variability on T. Aman rice production standardized precipitation index (SPI), diurnal temperature range (DTR) and rice productivity index (RPI) were taken into consideration. According to the results, rice production was affected by rainfall anomalies and temperature variability, effect of temperature was more prominent than rainfall during aman season. Lowest technological rice yield was recorded from Narail disticts, where temperature and rainfall effect was more prominent followed by Bagerhat, Khulna and Satkhira, respectively. This research will help researchers to develop new climate smart technologies for that area.","PeriodicalId":438405,"journal":{"name":"2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","volume":"36 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128661834","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