2019 10th International Conference on Information and Communication Systems (ICICS)最新文献_第2页

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2019 10th International Conference on Information and Communication Systems (ICICS) Pub Date : 2019-06-01 DOI: 10.1109/iacs.2019.8809130

引用次数: 0

Robust Full-Car Active Suspension System 坚固的全车主动悬架系统

2019 10th International Conference on Information and Communication Systems (ICICS) Pub Date : 2019-06-01 DOI: 10.1109/IACS.2019.8809167

Y. M. Al-Rawashdeh, S. E. Ferik, M. A. Abido

引用次数: 1

Boosting Ridesharing Efficiency Through Blockchain: GreenRide Application Case Study 通过区块链提高拼车效率:GreenRide应用案例研究

2019 10th International Conference on Information and Communication Systems (ICICS) Pub Date : 2019-06-01 DOI: 10.1109/IACS.2019.8809108

S. Khanji, S. Assaf

{"title":"Boosting Ridesharing Efficiency Through Blockchain: GreenRide Application Case Study","authors":"S. Khanji, S. Assaf","doi":"10.1109/IACS.2019.8809108","DOIUrl":"https://doi.org/10.1109/IACS.2019.8809108","url":null,"abstract":"Ridesharing or carpooling has a valuable potential in large cities that suffer from traffic jams and congestion especially in places with poor public transportation infrastructure and fuel trip expenses are too high. By increasing the level of vehicles occupancy; colleagues who share the same workplace can smoothly hop into each other’s vehicles to reach their destination. In this research paper we utilize the decentralization nature of the blockchain to build a smart ridesharing application – GreenRide - through incentivizing its users via token rewards. Our work investigates boosting ridesharing efficiency through utilizing the blockchain merits of decentralization, trustless, and scalability. We also emphasize on the application’s environmental impacts where it promotes carbon emission reduction, and enhances air quality. Moreover, the research paper identifies GreenRide’s economic and social impacts as per it helps road users to share the costly fuel expenses and to create friendships between like-minded people respectively. The research findings unlock the tremendous potential of the blockchain technology in other business-related fields not only limited to finance and cryptocurrencies.","PeriodicalId":225697,"journal":{"name":"2019 10th International Conference on Information and Communication Systems (ICICS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124858966","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: 14

Employee Retention in Agile Project Management 敏捷项目管理中的员工保留

2019 10th International Conference on Information and Communication Systems (ICICS) Pub Date : 2019-06-01 DOI: 10.1109/IACS.2019.8809132

Lana Issa, Mahdi Alkhatib, Aalaa Al-badarneh, A. Qusef

引用次数: 3

A No-Reference Image Quality Assessment For Detecting Illumination Alteration 一种检测光照变化的无参考图像质量评估方法

2019 10th International Conference on Information and Communication Systems (ICICS) Pub Date : 2019-06-01 DOI: 10.1109/IACS.2019.8809123

Cerine Tafran, Mohamad El-Abed, Islam Elkabani, Ziad Osman

引用次数: 1

Sustainable Smart World 可持续发展的智慧世界

2019 10th International Conference on Information and Communication Systems (ICICS) Pub Date : 2019-06-01 DOI: 10.1109/IACS.2019.8809174

Saif Rawashdeh, Walaa Eyadat, Areen Magableh, W. Mardini, M. B. Yasin

引用次数: 2

Optimization of PID Controller Gain Using Evolutionary Algorithm and Swarm Intelligence 基于进化算法和群体智能的PID控制器增益优化

2019 10th International Conference on Information and Communication Systems (ICICS) Pub Date : 2019-06-01 DOI: 10.1109/IACS.2019.8809144

D. Maddi, A. Sheta, Dharani Davineni, Heba Al-Hiary

引用次数: 8

Arabic Handwritten Characters Recognition using Convolutional Neural Network 用卷积神经网络识别阿拉伯手写体字符

2019 10th International Conference on Information and Communication Systems (ICICS) Pub Date : 2019-06-01 DOI: 10.1109/IACS.2019.8809122

Hassan M. Najadat, Ahmad A. Alshboul, Abdullah Alabed

{"title":"Arabic Handwritten Characters Recognition using Convolutional Neural Network","authors":"Hassan M. Najadat, Ahmad A. Alshboul, Abdullah Alabed","doi":"10.1109/IACS.2019.8809122","DOIUrl":"https://doi.org/10.1109/IACS.2019.8809122","url":null,"abstract":"Recognition of Arabic handwritten characters is very important due to its various benefits and usages. Ancient documents, bank processing, postal mailing and others are examples where we may need character recognition systems. But many obstacles may be faced due to diversity of human writing styles. Language characters recognition has been widely covered in many languages and many algorithms and paradigms were used. With the strong appealing of deep CNN classifier promise results were reached in many classification problems. CNN is a feed forward neural network that is extensively used in several applications such as image classification. The main benefit of using CNN is the merging of feature extraction and classification itself. Some researchers used CNN in Arabic character recognition, one of those El-Sawy et al [1] who applied CNN architecture on a dataset namely (AHCD) of 16800 characters. They obtained a good accuracy of 94.9% and a misclassification error of 5.1% on testing data. In our paper we will explore their dataset by proposing a modified CNN architecture hopefully to overcome their results.","PeriodicalId":225697,"journal":{"name":"2019 10th International Conference on Information and Communication Systems (ICICS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128576547","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

Simulation Based Performance Evaluation of Several Active Queue Management Algorithms for Computer Network 基于仿真的几种计算机网络主动队列管理算法性能评价

2019 10th International Conference on Information and Communication Systems (ICICS) Pub Date : 2019-06-01 DOI: 10.1109/IACS.2019.8809117

Omar Almomani, Adeeb Saaidah, Firas Al Balas, L. Al-Qaisi

{"title":"Simulation Based Performance Evaluation of Several Active Queue Management Algorithms for Computer Network","authors":"Omar Almomani, Adeeb Saaidah, Firas Al Balas, L. Al-Qaisi","doi":"10.1109/IACS.2019.8809117","DOIUrl":"https://doi.org/10.1109/IACS.2019.8809117","url":null,"abstract":"Congestion crumbles the network performance, therefore. This paper evaluates several Active Queue Management (AQM) algorithms which used to control congestion. The main Objective of the paper is to find optimal algorithm that can be use to avoid congestion. AQM are router based mechanism which can detect congestion in early stage in the network ask the transmitter to decrease its transmitting rate, in this way the network can control the congestion for incoming packets. So some of AQM algorithms were evaluated by analyzed their performance, the selected AQM algorithms are Gentle BLUE (GB), Dynamic Gentle Random Early Detection (DGRED), Effective Random Early Detection (ERED), BLUE and Adaptive Max Threshold algorithms. Performance evaluation is carried by using JAVA simulation environments. Evaluation results show that GB compared with DGRED, ERED, BLUE and Adaptive Max Threshold outperformed in terms of mean queue length, delay and packet loss. GB had maximum dropping probability as compare with DGRED, ERED, BLUE and Adaptive Max Threshold. In term of throughput all tested algorithms all most give same throughput. The results prove that the GB is can be appropriate algorithm to handle congestion as compare to DGRED, ERED, BLUE and Adaptive Max Threshold.","PeriodicalId":225697,"journal":{"name":"2019 10th International Conference on Information and Communication Systems (ICICS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115217732","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

Autoregressive Modeling and Prediction of Annual Worldwide Cybercrimes for Cloud Environments 云环境下全球年度网络犯罪的自回归建模与预测

2019 10th International Conference on Information and Communication Systems (ICICS) Pub Date : 2019-06-01 DOI: 10.1109/IACS.2019.8809125

Qasem Abu Al-Haija, L. Tawalbeh

引用次数: 15