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2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)最新文献

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Power Optimisation Model for Leveraging Cloud System 利用云系统的功率优化模型
2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE) Pub Date : 2019-11-01 DOI: 10.1109/BdKCSE48644.2019.9010602
Ogechukwu Okonor, M. Adda, A. Gegov
{"title":"Power Optimisation Model for Leveraging Cloud System","authors":"Ogechukwu Okonor, M. Adda, A. Gegov","doi":"10.1109/BdKCSE48644.2019.9010602","DOIUrl":"https://doi.org/10.1109/BdKCSE48644.2019.9010602","url":null,"abstract":"Cloud computing is an emerging technology that has significantly increased over the years due to an increase in the number of internet users and its numerous benefits. It is a technology that leverages cost and considers locational challenges. The emergence of cloud computing has brought innovation and hope to many under-developed countries with less skilled workforce, limited resources and unstable electricity supply. Although this technology is transforming information technology, it still faces some significant challenges like high energy consumption rate, confusion in adoption method and security issues. The focus of this paper is on reducing the problems with ambiguity on data center structure and its power usage by simplifying how the application works and then provide a holistic approach to minimizing it power usage rate. This paper minimizes the energy utilization of the cloud data center using an intelligent method to shut down, schedule and monitors the entire cloud system. Additionally, observing the complexity of the cloud system design, a holistic approach to calculating and measuring the percise amount of power usage during each operational cycle is vital to achieving a more efficient data centre energy model. This work proposes an improved energy model that calculates, in detail, the energy usage on the system by focusing on each system component and its contribution to the high energy consumption level of the data centre. Furthermore, the proposed model is then used to develop an algorithm that minimises the power usage in the cloud environment to an optimal low level while maintaining high level of service level agreement. The result obtained from this experiment shows that the developed model removed a high level of obscurity in the issue of the cause of high energy consumption in the data center and thereby encourage cloud providers to act accordingly in reducing the effect.","PeriodicalId":206080,"journal":{"name":"2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122316936","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
Multi-input Multi-output Neo-Fuzzy Neural Network for PM10 and PM2.5 Daily Concentrations Forecasting PM10和PM2.5日浓度预测的多输入多输出新模糊神经网络
2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE) Pub Date : 2019-11-01 DOI: 10.1109/BdKCSE48644.2019.9010610
M. Terziyska, Zhelyazko Terziyski, S. Hadzhikoleva, E. Hadzhikolev
{"title":"Multi-input Multi-output Neo-Fuzzy Neural Network for PM10 and PM2.5 Daily Concentrations Forecasting","authors":"M. Terziyska, Zhelyazko Terziyski, S. Hadzhikoleva, E. Hadzhikolev","doi":"10.1109/BdKCSE48644.2019.9010610","DOIUrl":"https://doi.org/10.1109/BdKCSE48644.2019.9010610","url":null,"abstract":"Multi-Input Multi-Output Neo-Fuzzy Neural Network Structure, based on Neo-fuzzy neuron concept, is used in this study to forecast average daily PM10 and PM2.5 concentration in Plovdiv, Bulgaria. Such a structure is preferred because it has a good generalization capability, high-speed learning, and low computational efforts and guarantee the convergence with the global minimum. The data set used in the present study comprises temperature, humidity, atmospheric pressure, PM10 and PM2.5 daily average concentrations from all 60 monitoring stations located in the city.","PeriodicalId":206080,"journal":{"name":"2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126270484","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
Application of Variational Iteration Method in Solving Typhoid Fever Model 变分迭代法在伤寒模型求解中的应用
2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE) Pub Date : 2019-11-01 DOI: 10.1109/BdKCSE48644.2019.9010598
Olumuyiwa James Peter, M. Ibrahim
{"title":"Application of Variational Iteration Method in Solving Typhoid Fever Model","authors":"Olumuyiwa James Peter, M. Ibrahim","doi":"10.1109/BdKCSE48644.2019.9010598","DOIUrl":"https://doi.org/10.1109/BdKCSE48644.2019.9010598","url":null,"abstract":"This paper presents and studies a deterministic mathematical model of typhoid fever dynamics. We verified the uniqueness and the existence of the model's equations using the Lipchitz condition to check the validity of the model. The basic concept of disease transmission is discussed. We applied the Variational Iteration Method (VIM) to solve the model equations. The model equations are described by a nonlinear differential equation of order one. The model is solved using VIM. The validity of the method was verified by the Runge-Kutta method of order four (RK4) implemented in Maple 16 software. In order to confirm the efficiency of VIM, the solutions obtained by the two methods were compared. The profiles of the solutions of each variable in the model were presented and we confirmed that VIM and RK4 were in good agreement. The results reveal that VIM is accurate and efficient in finding the solution to the Typhoid fever model.","PeriodicalId":206080,"journal":{"name":"2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125256226","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
Wireless Network for Real-Time Detection of Pipeline Leakages 用于管道泄漏实时检测的无线网络
2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE) Pub Date : 2019-11-01 DOI: 10.1109/BdKCSE48644.2019.9010605
R. J. Cintra, T. D. de Oliveira, M. Mintchev
{"title":"Wireless Network for Real-Time Detection of Pipeline Leakages","authors":"R. J. Cintra, T. D. de Oliveira, M. Mintchev","doi":"10.1109/BdKCSE48644.2019.9010605","DOIUrl":"https://doi.org/10.1109/BdKCSE48644.2019.9010605","url":null,"abstract":"Despite the fact that pipelines remain the safest means of oil and gas transportation, incidents still persist and pipeline acceptance from the public has become compromised. In an attempt to address this growing problem, a novel pipeline system is proposed. This concept involves segmenting the pipeline system with segmentation rings and embedding a linear wireless network in the annular airgap between the two pipe layers. Presence of fluid in the case of a leakage into the interpipe space causes degradation of the wireless network to a point of interrupting the communication in a particular pipeline segment far before any external leak occurring.","PeriodicalId":206080,"journal":{"name":"2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121309506","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
Different Traffic Quality Aggregations for a Service Composition 一个业务组合的不同流量质量聚合
2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE) Pub Date : 2019-11-01 DOI: 10.1109/BdKCSE48644.2019.9010599
S. Poryazov, Velin Andonov, E. Saranova
{"title":"Different Traffic Quality Aggregations for a Service Composition","authors":"S. Poryazov, Velin Andonov, E. Saranova","doi":"10.1109/BdKCSE48644.2019.9010599","DOIUrl":"https://doi.org/10.1109/BdKCSE48644.2019.9010599","url":null,"abstract":"The present paper studies the problem of the composition of traffic quality in a service composition. The causal structure is represented through causal virtual devices corresponding to parasitic, carried and served traffic. Causal composition and decomposition of traffic quality is represented graphically and analytically. A naming system of the virtual devices is proposed which takes into account the level of inclusion of the base virtual devices into the comprised. Different traffic quality aggregations are derived for service compositions in the cases of consecutively and parallel connected virtual devices.","PeriodicalId":206080,"journal":{"name":"2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)","volume":"404 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116391071","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
UV- Vis Spectroscopy and Chemometrics Analysis in Distinguishing Different Types of Bulgarian Honey 紫外可见光谱和化学计量学分析鉴别不同类型保加利亚蜂蜜
2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE) Pub Date : 2019-11-01 DOI: 10.1109/BdKCSE48644.2019.9010601
D. Tsankova, S. Lekova
{"title":"UV- Vis Spectroscopy and Chemometrics Analysis in Distinguishing Different Types of Bulgarian Honey","authors":"D. Tsankova, S. Lekova","doi":"10.1109/BdKCSE48644.2019.9010601","DOIUrl":"https://doi.org/10.1109/BdKCSE48644.2019.9010601","url":null,"abstract":"The purpose of the present paper is studying the potential of honey discrimination based on its botanical origins using UV - Vis spectroscopy and subsequent statistical cluster analysis. For calibration of the honey classifier, thirty-six samples from three types of honey (produced from acacia, linden, and honeydew) are measured by a spectrophotometer “Cary100” with recorded wavelength range of 190~900 nm. Initially, we use the method of principal components analysis (PCA) to lower the number of wavelengths (inputs) and to produce a proper visualization of the experimental results. Next, the first two principal components are combined separately with Naïve Bayes classification (NBC) and k-means clustering (KMC) to develop PC-NBC and PC-KMC models. The high accuracy of the proposed honey classifiers is confirmed by a leave-one-out cross-validation test performed in MATLAB environment.","PeriodicalId":206080,"journal":{"name":"2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)","volume":"192 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133583192","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
IoT and Big Data Analytics in E-Learning 电子学习中的物联网和大数据分析
2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE) Pub Date : 2019-11-01 DOI: 10.1109/BdKCSE48644.2019.9010666
I. Popchev, D. Orozova, S. Stoyanov
{"title":"IoT and Big Data Analytics in E-Learning","authors":"I. Popchev, D. Orozova, S. Stoyanov","doi":"10.1109/BdKCSE48644.2019.9010666","DOIUrl":"https://doi.org/10.1109/BdKCSE48644.2019.9010666","url":null,"abstract":"The main objective of the report is to show the impact of IoT and Big Data Analytics in the field of virtual education space while learning and applying different e-learning approaches. The main subject of research by the authors is a conceptual model of virtualization of education in terms of the Internet of Things (IoT) paradigm.","PeriodicalId":206080,"journal":{"name":"2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115899655","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: 7
Multifunctional Operating Station Based on Tcl/Tk and Its Applications 基于Tcl/Tk的多功能操作台及其应用
2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE) Pub Date : 2019-11-01 DOI: 10.1109/BdKCSE48644.2019.9010662
V. Ivanova, A. Boneva, Yordan Doshev, Stoyan Ivanov, P. Vasilev
{"title":"Multifunctional Operating Station Based on Tcl/Tk and Its Applications","authors":"V. Ivanova, A. Boneva, Yordan Doshev, Stoyan Ivanov, P. Vasilev","doi":"10.1109/BdKCSE48644.2019.9010662","DOIUrl":"https://doi.org/10.1109/BdKCSE48644.2019.9010662","url":null,"abstract":"The main goal of the work is design of a compact, convenient, simplified, with better possibilities and suitable for different application Multifunctional Operating Station. In this publication, a method for the design of an operating station based on Tcl/Tk is presented. A portable open source programming platform is used that is implemented for different operating systems (Windows, Unix, Linux, Solaris, Android). Three possible approaches to building an operating station are illustrated - Classic approach, “Multi-interpreter” realization using a number of Tcl interpreters; “Multi-threaded” mode. The approaches are illustrated by presenting an implementation of an operating station for a wireless control system for a group of intelligent instruments, which are designed for SCADA Ignition applications. Unlike other software platforms the presented operation station based on Tcl/Tk possesses some advantages main of which is that the language model assumes the use of hierarchical structures including more than one interpreter, each of which having their own set of operators and addressing space. Tcl/Tk based applications are presented.","PeriodicalId":206080,"journal":{"name":"2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123752510","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
Operators over 3-Dimensional Index Matrices 三维索引矩阵上的算子
2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE) Pub Date : 2019-11-01 DOI: 10.1109/BdKCSE48644.2019.9010655
K. Atanassov, O. Roeva, V. Bureva, Pavel Cheshmedjiev, P. Vassilev, Vassia Atanassova
{"title":"Operators over 3-Dimensional Index Matrices","authors":"K. Atanassov, O. Roeva, V. Bureva, Pavel Cheshmedjiev, P. Vassilev, Vassia Atanassova","doi":"10.1109/BdKCSE48644.2019.9010655","DOIUrl":"https://doi.org/10.1109/BdKCSE48644.2019.9010655","url":null,"abstract":"In this paper, the definitions of four operations over 3-dimensional index matrices are discussed. Some of their properties are discussed and an examples for their use are given.","PeriodicalId":206080,"journal":{"name":"2019 Big Data, Knowledge and Control Systems Engineering (BdKCSE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133212728","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
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