2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)最新文献_第8页

Transformation, Analysis and Visualization of Distributed Temperature Sensing Data generated by Oil Wells 油井分布式温度传感数据的转换、分析与可视化

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368862

I. Karimov, S. Jafarova, M. Zeynalli, S. Rustamov, A. Adamov, Aslan Babakhanov

{"title":"Transformation, Analysis and Visualization of Distributed Temperature Sensing Data generated by Oil Wells","authors":"I. Karimov, S. Jafarova, M. Zeynalli, S. Rustamov, A. Adamov, Aslan Babakhanov","doi":"10.1109/AICT50176.2020.9368862","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368862","url":null,"abstract":"This research paper examines the full lifecycle of the case of turning the gas and oil industry to a data-driven operation model. The study presents the approach of re-engineering production data, building a predictive model for temperature forecast, statistical analysis, and visualization of Distributed Temperature Sensing (DTS) data provided by the oil-gas industry. For better analysis, the raw data have been pre-processed and organized according to the proper model. Furthermore, after the data organization, we proceed with observing relationships among three features (Date, Depth and Temperature), analyze vague upheavals and similarities utilizing plot histograms, scatterplots, box plots, heatmaps, violin plots for better visualization. Since the drastic temperature change indicates the anomaly, several alternative Outlier Detection Techniques are offered to predict early equipment failure and prevent production outage. Our results indicated a high correlation between depth and temperature, presence of trend in temperature distribution, and temperature drops in specific ranges. Proper analysis of the data allows the specialist to understand reservoir performance and prolong the production file of the wells.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124049368","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

Algorithm for the Abnormal Ventricular Electrical Excitation Detection 异常心室电兴奋检测算法

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368866

Z. Yuldashev, A. Nemirko, D. Ripka

引用次数: 0

Flying Ad hoc Network Expedited by DTN Scenario: Reliable and Cost-effective MAC Protocols Perspective 由DTN场景加速的飞行自组织网络:可靠和经济的MAC协议的观点

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368575

Sobiya Arsheen, A. Wahid, Khaleel Ahmad, Khujamatov Khalim

引用次数: 20

Web-based Sound and Speech Training Software to Help Hearing-impaired People 帮助听障人士的基于网络的声音和语言训练软件

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368675

M. Farkhadov, N. Petukhova, Mukhabbat Farkhadova

引用次数: 0

Threats Classification Method for the Transport Infrastructure of a Smart City 智慧城市交通基础设施威胁分类方法

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368828

K. Izrailov, A. Chechulin, L. Vitkova

引用次数: 1

Improvement the schemes and models of detecting network traffic anomalies on computer systems 改进计算机系统网络流量异常检测的方案和模型

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368781

Yusupov Sabirjan Yusupdjanovich, Gulomov Sherzod Rajaboevich

引用次数: 2

An Experimental Design Approach to Analyse the Performance of Island-Based Parallel Artificial Bee Colony Algorithm 基于孤岛的并行人工蜂群算法性能分析的实验设计方法

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368747

Thaer Thaher, Badie Sartawi

{"title":"An Experimental Design Approach to Analyse the Performance of Island-Based Parallel Artificial Bee Colony Algorithm","authors":"Thaer Thaher, Badie Sartawi","doi":"10.1109/AICT50176.2020.9368747","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368747","url":null,"abstract":"The Artificial Bee Colony (ABC) is a novel nature-inspired metaheuristic optimization algorithm that mimics the behavior of honey bees searching for food sources. The main drawback of ABC, similar to the most of metaheuristics, is the premature convergence (i.e., the earlier stuck into local optima). Recently, the structured population approach, in which the individuals are distributed into multiple sub-populations (called islands), has been widely exploited to maintain the required diversity during the search process and thus reducing the prematurity problem. In this paper, the island model, which is a common structured population approach, is incorporated with the ABC to introduce a parallel variant called (iABC). Besides, an experimental design approach is proposed to analyze the sensitivity of iABC to the parameters of the island model as well as the main specific parameters. The linear regression model and the Analysis of variance (ANOVA) are utilized to estimate the effect of parameters and identify the importance of them. Two well-known benchmark functions are used for evaluation purposes. Experimental results revealed that most parameters and their low-order interactions have a significant influence on the performance of the iABC. Furthermore, the proposed iABC proved its superiority compared to other state-of-the-art algorithms.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114779960","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

Reliable Priority Based QoS Real-Time Traffic Routing in VANET: Open Issues & Parameter VANET中基于可靠优先级的QoS实时流量路由:开放问题与参数

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368689

K. Nisar, A. Mu'azu, Ibrahim A. Lawal, Sohrab Khan, Shuaib K. Memon

{"title":"Reliable Priority Based QoS Real-Time Traffic Routing in VANET: Open Issues & Parameter","authors":"K. Nisar, A. Mu'azu, Ibrahim A. Lawal, Sohrab Khan, Shuaib K. Memon","doi":"10.1109/AICT50176.2020.9368689","DOIUrl":"https://doi.org/10.1109/AICT50176.2020.9368689","url":null,"abstract":"It has proven that to provide priority to different traffic types in wireless vehicular networking (VANET) is attracting wide attention for guaranteeing high quality real-time traffic routing. Choosing a reliable and stable route with Quality of Service (QoS) constraints is always a challenging task because of the high mobility in VANET. This paper proposes an approach that prioritizes the transmission of traffic data packet according to the transmission distance and urgency metrics of messages before making a selection of routes. The approach utilizes a priority classifying a mechanism to differentiate traffic information into various priorities imposed in the VANET communications. The performance of the proposed approach was simulated extensively using NCTUns simulator in terms of throughput, packet loss and delay. The results obtained show efficient solutions on the impact of mobility for the prioritized flows in enhancing safety messaging. This approach makes safety messages to be transmitted with high reliability and low delay as compared to non-prioritized traffic flows.","PeriodicalId":136491,"journal":{"name":"2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131480055","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

Explained Artificial Intelligence Helps to Integrate Artificial and Human Intelligence Into Medical Diagnostic Systems: Analytical Review of Publications 解释人工智能有助于将人工智能和人类智能集成到医疗诊断系统中:出版物的分析评论

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368576

M. Farkhadov, Aleksander Eliseev, N. Petukhova

引用次数: 2

Towards Secured Service Provisioning for the Internet of Healthcare Things 面向医疗物联网的安全服务配置

2020 IEEE 14th International Conference on Application of Information and Communication Technologies (AICT) Pub Date : 2020-10-07 DOI: 10.1109/AICT50176.2020.9368580

Fahiba Farhin, M. S. Kaiser, M. Mahmud

引用次数: 10