2018 11th International Conference on Developments in eSystems Engineering (DeSE)最新文献

An Energy Preserving Practical Security Assessment on Wireless Body Area Networks 无线体域网络节能实用安全评估

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DeSE.2018.00030

S. AlHamouz, Ali M. AL-Naimat, Ahmad Fraihat

引用次数: 1

Title Page iii 第三页标题

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/dese.2018.00002

引用次数: 0

On Production of Pre-Formed Foamed Geopolymer Concrete 浅谈预成型泡沫地聚合物混凝土的生产

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DeSE.2018.00058

Ameer A. Hilal, Faten I. Mahmood

引用次数: 0

Improve the Accuracy of Dirichlet Reputation System for Web Services 提高Web服务Dirichlet信誉系统的准确性

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DeSE.2018.00018

Harith Abbas Kadhim, H. N. Nawaf

引用次数: 2

Natural Rivers Longitudinal Dispersion Coefficient Simulation Using Hybrid Soft Computing Model 基于混合软计算模型的天然河流纵向色散系数模拟

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DeSE.2018.00056

S. Sulaiman, G. Al-Dulaimi, H. A. Thamiry

{"title":"Natural Rivers Longitudinal Dispersion Coefficient Simulation Using Hybrid Soft Computing Model","authors":"S. Sulaiman, G. Al-Dulaimi, H. A. Thamiry","doi":"10.1109/DeSE.2018.00056","DOIUrl":"https://doi.org/10.1109/DeSE.2018.00056","url":null,"abstract":"The determination of longitudinal dispersion coefficient (LDC) of pollutants in stream contributes to several environmental and hydraulic engineering practices. Hence, providing an accurate and reliable methodology for predicting LDC is an essential process required water resources engineers. In this research, new hybrid soft computing model called deep neural network (DNN) coupled with genetic algorithm (GA), is developed to predict LDC using historical information attained from published researches in the literature. The GA is established as an evolutionary modeling phase to define the highly influencing hydraulic variables as an input combination attributes to compute the LDC. The hydraulic variables belonged to various stream all around the world, are utilized to build the modeling structure. The developed prediction model assessed using various statistical metrics to visualize its predictability. The proposed coupled predictive model validated with the core established research on the same application. In general, the model exhibited an excellent methodology for the environmental and hydraulic engineering aspects. Most importantly, the proposed model fulfilled the contribution of river engineering sustainability.","PeriodicalId":404735,"journal":{"name":"2018 11th International Conference on Developments in eSystems Engineering (DeSE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130012169","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: 15

Development of a Graphical User Interface for a Crawler Mobile Robot Servosila Engineer 履带式移动机器人伺服系统图形用户界面的开发

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DeSE.2018.00044

Ilya Mavrin, Roman Lavrenov, E. Magid

引用次数: 5

Performance Evaluation of Data Scheduling in IEEE802.16e in VANET Traffic Context VANET流量环境下IEEE802.16e数据调度性能评价

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DeSE.2018.00015

Khadija Raissi, M. Mejri, B. Gouissem

{"title":"Performance Evaluation of Data Scheduling in IEEE802.16e in VANET Traffic Context","authors":"Khadija Raissi, M. Mejri, B. Gouissem","doi":"10.1109/DeSE.2018.00015","DOIUrl":"https://doi.org/10.1109/DeSE.2018.00015","url":null,"abstract":"VANET (Vehicular Ad hoc Network) have become an exciting research going in the era of smart cities as a means for increasing traffic safety and comfort. Nevertheless, VANETs possess some particular characteristics such as very high mobility, encountering rapid changes of topology, frequent disconnected network and variable network density. Gathered VANET traffic will be transferred from road side unit to base station which is responsible of routing traffic to the data centre using long-range support like WiMax( Worldwide Interoperability for Microwave Access) in smart city solutions. As VANET have a special network behaviours and stringent traffic physiognomy, this work aims to determinate the most suitable WiMax scheduler to support VANET traffic characteristics. For this purpose, we used in this work a VANET traffic model as input to our NS3 simulation scenarios. In this paper, we evaluate three basic scheduling algorithms (simple scheduler, simple priority, based real time polling service scheduler and migration based uplink scheduler), mainly at the base station level in WiMax. We analyse their performance in the case of VANET traffic context in order to find the best suitable scheduler in terms of throughput, latency, and reliability. Results demonstrate that the simple priority based first come first served scheduler(simple scheduler) and a based real time polling service scheduler (scheduler RTPS) outperform the migration based uplink scheduler (scheduler MBQOS) when the number of nodes less than or equal to 20. On the other hand, the scheduler MBQOS is more effective for higher network density and favors the real-time traffic in terms of reliability and delay.","PeriodicalId":404735,"journal":{"name":"2018 11th International Conference on Developments in eSystems Engineering (DeSE)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122082225","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

[Title page i] [标题页i]

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/dese.2018.00001

引用次数: 0

Conference Organisation 会议组织

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/dese.2018.00006

A. Blackwell, B. Plimmer, Gem Stapleton, Christopher Scaffidi, Kazi Zaman, Rob Thompson, Xiangyu Wang, Jorge Mendes, Ivan Jovanovikj, Christian Schenk, D. Wolters, Austin Z. Henley, Olivia Wiles, J. Cuadrado, Rui Pereira, Karl Smeltzer, D. Kumar, Björn Senft, Hanwen Yu, V. Fuccella, Sonja Schimmler, Aaron W. Bauer, Jim Burton, Zuoming Shi, Stefan Heindorf

引用次数: 0

Real-Time Video Server Implementation for a Mobile Robot 移动机器人实时视频服务器的实现

2018 11th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2018-09-01 DOI: 10.1109/DeSE.2018.00042

Safin Ramil, Roman Lavrenov, T. Tsoy, M. Svinin, E. Magid

引用次数: 8