2019 First International Conference of Intelligent Computing and Engineering (ICOICE)最新文献_第7页

Hybrid Artificial Intelligent Approach for Choke Size Estimation in Volatile and Black Oil Reservoirs 挥发性和黑色油藏节流孔尺寸估计的混合人工智能方法

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035198

Al-Gathe Abedelrigeeb, A. M. Al-Khudafi, Salem O. Baarimah, K. Ba-Jaalah

{"title":"Hybrid Artificial Intelligent Approach for Choke Size Estimation in Volatile and Black Oil Reservoirs","authors":"Al-Gathe Abedelrigeeb, A. M. Al-Khudafi, Salem O. Baarimah, K. Ba-Jaalah","doi":"10.1109/ICOICE48418.2019.9035198","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035198","url":null,"abstract":"Accurate prediction of choke size is important for successful production design and flow rate estimation. Many empirical correlations have been used to estimate choke size. The accuracy of these correlations has become inadequate for the best estimation. Recent achievements of Artificial Intelligence (AI) in petroleum engineering applications alone encourage the scientists to apply the hybrid model in order to improve AI results. In this study, a Particle Swarm Optimization (PSO) algorithm was developed to optimize neural network (NN) weights in order to improve their performance (PSONN). The Hybrid PSONN model compared with existed Fuzzy logic (FL) model which considered as the best AI model, Khamis [15]. Around 2445 and 766 data sets of the volatile and black oil reservoir from Middle East region respectively were selected. The comparative results confirmed that the hybrid model PSONN is performed better with lower relative errors and higher accuracy than the FL model. Based upon the results, we conclude that the hybrid models show a robust capability for the estimation of choke sizes that will help to flow rate estimation and choke design purposes. In future, the PSONN model can be combined with any simulator to improve the accuracy of oil flow rate and production design calculation.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124562082","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

Ubiquitous Computing and its Security Concerns 普适计算及其安全问题

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035152

Omar Ahmed Al-Motwakel, Ammar T. Zahary

{"title":"Ubiquitous Computing and its Security Concerns","authors":"Omar Ahmed Al-Motwakel, Ammar T. Zahary","doi":"10.1109/ICOICE48418.2019.9035152","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035152","url":null,"abstract":"This paper describes the perception of Ubiquitous as well as its security concerns. The recent deploying of smart devices increase the ubiquitous computing, the emanated computing allows anytime & anywhere computing to be possible. With the raise of technology will increase the concerns about security as well as privacy. Thus, it is important to be aware about every technology before using it. This paper explains the information and the security of Ubiquitous computing, Internet Of the Things, and Context Aware, to increase knowledge about ubiquitous terminologies and provide tips that will help in the real word for the technology provider as well as the technology users. The ubiquitous information will provide the awareness about Ubiquitous terminologies (terms), technologies, uses, and tools, as well as the advantages of ubiquitous computing. This paper also shows the concern of the security and privacy of ubiquitous computing and describes the ubiquitous technologies that could be helpful. Ubiquitous computing is increasingly recognized as a serious, worldwide public security and privacy concern; therefore, this paper explains the disadvantages of ubiquity, and the risks of ubiquity. Finally, this paper ends with some security and privacy techniques that are suggested in ubiquitous computing protection.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121917015","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

Mathematical Model for Reducing Energy Consumption and Greenhouse Gas Emissions in the Crude Distillation Unit Using the LINGO Program 利用LINGO程序降低原油蒸馏装置能耗和温室气体排放的数学模型

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035149

Badiea S. Babaqi

引用次数: 0

Molecular Structure and Spectroscopic Studies of Some Diazo Dyes Compounds using DFT Method 一些重氮染料化合物的分子结构及DFT光谱研究

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035176

M. H. Al–Douh, Elham Abdalrahem Bin Selim, Haydar A. Mohammad Salim, H. H. Abdullah

引用次数: 2

Efficient Power-Delay Management Framework for Enhancing the Lifetime of IoT Devices 提高物联网设备寿命的高效电源延迟管理框架

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035197

A. Bin-Salem, Salah Bindahman, Sabri M. Hanshi, W. Munassar, Khaled Aladhal

{"title":"Efficient Power-Delay Management Framework for Enhancing the Lifetime of IoT Devices","authors":"A. Bin-Salem, Salah Bindahman, Sabri M. Hanshi, W. Munassar, Khaled Aladhal","doi":"10.1109/ICOICE48418.2019.9035197","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035197","url":null,"abstract":"The Internet of Things (IoT) connects huge numbers of objects together, then monitors and gathers data on machines and human life. Since energy efficiency and delay time reduction are of the highest importance to the IoT devices and control data, power consumption and delay issues are the most recent and primary challenges in IoT environment, where the research works and IoT-related standards have been focused on [1]. For example, the IoT environment provides a global connectivity by connecting a huge number of smart phones and embedded devices for the simplification of life through being sensitive, adaptive, and responsive to human needs. Such devices transfer lightweight data over long periods and are located in hard-to-reach places, where is difficult to deploy a source of power to handle these devices over a long coverage area. This situation requires a source of power and a technique to handle all these devices over large coverage areas, which are not guaranteed and difficult to deploy it. Thus, a new paradigm called Low Power Wide Area networks (LPWAN), similar to Long Term Evolution Machine Type Communications Category M1 (LTE MTC Cat-M1 and Narrow Band IoT (NB-IoT), should be adopted in integrating and extending the achieved gains for solving these issues that shape the power consumption with a large coverage area of tens of billions of devices [2]. LPWAN is defined for solving these issues by using a DRX/eDRX mechanism; however, the existing DRX models are partially inconsistent with 4G. The purpose of this research is to propose a framework that improve the power saving efficiency while maintaining the ability to guarantee the delay requirement for achieving a better lifetime of IoT devices. Hence, it will save expended resources that could have been exhausted on the cost replacement and maintenance.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124368843","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

Performance Enhancement For Gender Recognition Using Trainable Bank of Gabor Filters and NCA

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035141

K. O. Basulaim, Adeeb Ali Dabash

引用次数: 1

Feature Selection approach using KNN supervised learning for Content-Based Image Retrieval 基于内容的图像检索的KNN监督学习特征选择方法

2019 First International Conference of Intelligent Computing and Engineering (ICOICE) Pub Date : 2019-12-01 DOI: 10.1109/ICOICE48418.2019.9035143

F. Alqasemi, Hamza Q. Alabbasi, Fathi G. Sabeha, Ahmed Alawadhi, Sanad Kahlid, Ammar T. Zahary

{"title":"Feature Selection approach using KNN supervised learning for Content-Based Image Retrieval","authors":"F. Alqasemi, Hamza Q. Alabbasi, Fathi G. Sabeha, Ahmed Alawadhi, Sanad Kahlid, Ammar T. Zahary","doi":"10.1109/ICOICE48418.2019.9035143","DOIUrl":"https://doi.org/10.1109/ICOICE48418.2019.9035143","url":null,"abstract":"Digital images have a serious influence over all the world, since, images have a very tangible importance, which impacts several people needs, this gave image retrieval researches this importance. So, Content-based image retrieval (CBIR) became one of the challenges in information retrieval and image processing fields, its services needs to apply for both business and science domains. In this paper we have proposed a CBIR approach that based on statistical methods feature selection via k-nearest neighbor (KNN) technique. Hence, supervised learning is employed for CBIR to train WANG database images, then the query image was the tested sample, and among predicted class we have filtered the final results. Number of randomly selected query images have been tested via this approach, with a variation of CBIR criteria, which have varied among image types, category query, and threshold distances. The average results have presented in three result groups, some RGB images results have showed good evaluation, in term of precisions measure, also grayscale and RGB images have varied values; on the evaluation of f-measures results, which have changed according some different CBIR factors. Proposed feature selection have made CBIR simpler and effective, this have been showed in high precision evaluation in final results.","PeriodicalId":109414,"journal":{"name":"2019 First International Conference of Intelligent Computing and Engineering (ICOICE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127185148","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