Int. J. Comput. Commun. Control最新文献_第4页

Observer-based feedback control of interval-valued fuzzy singular system with time-varying delay and stochastic faults 时变时滞随机故障区间值模糊奇异系统的观测器反馈控制

Int. J. Comput. Commun. Control Pub Date : 2022-12-14 DOI: 10.15837/ijccc.2022.6.4957

H. Jerbi, M. Kchaou, Obaid S. Alshammari, Rabeh Abassi, D. Popescu

{"title":"Observer-based feedback control of interval-valued fuzzy singular system with time-varying delay and stochastic faults","authors":"H. Jerbi, M. Kchaou, Obaid S. Alshammari, Rabeh Abassi, D. Popescu","doi":"10.15837/ijccc.2022.6.4957","DOIUrl":"https://doi.org/10.15837/ijccc.2022.6.4957","url":null,"abstract":"There are countless applications of non-linear systems that incorporate delay and algebraic equations. Despite current improvements in control theory, stochastic actuator defects still pose challenges when it comes to these systems. Furthermore, when it is not possible to measure the states of the system, and when uncertainties affect the system under investigation, the problem becomes even more complex. This paper is concerned with fault-tolerant observer-based controller synthesis for non-linear delayed singular systems with uncertainties and stochastic actuator failures. On the basis of interval valued models, a new Lyapunov-Krasovskii functional is built to develop a less conservative criterion to ensure that the closed-loop system is admissible in the mean-square sense. In addition, as these matrices are coupled with multiple variables, finding the parametric matrices of the observer and controller in terms of the obtained condition is more complex and challenging. The proposed method employs the matrix inequality decoupling technique to resolve this issue. Eventually, simulations are carried out to demonstrate the applicability of the proposed method.","PeriodicalId":179619,"journal":{"name":"Int. J. Comput. Commun. Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132979981","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

Digital Transformation Strategy and Environmental Performance: A Case Study 数字化转型战略与环境绩效:案例研究

Int. J. Comput. Commun. Control Pub Date : 2022-12-14 DOI: 10.15837/ijccc.2022.6.5029

M. Sarfraz, Zhixiao Ye, Florin Dragan, L. Ivașcu, A. Artene

引用次数: 3

A financial time series data mining method with different time granularity based on trend Division 一种基于趋势划分的不同时间粒度金融时间序列数据挖掘方法

Int. J. Comput. Commun. Control Pub Date : 2022-12-14 DOI: 10.15837/ijccc.2022.6.4952

Haining Yang, Xuedong Gao, L. Han, Wei Cui

{"title":"A financial time series data mining method with different time granularity based on trend Division","authors":"Haining Yang, Xuedong Gao, L. Han, Wei Cui","doi":"10.15837/ijccc.2022.6.4952","DOIUrl":"https://doi.org/10.15837/ijccc.2022.6.4952","url":null,"abstract":"Stock research is an important field of Finance and time series research. Stock data research is also a typical financial time series problem. In the research of financial time series, there are many methods, such as model building, data mining, heuristic algorithm, machine learning, deep learning, and so on. VAR, ARIMA and other methods are widely used in practice. ARIMA and its combination methods have good processing effect on small data sets, but there are over fitting problems, which are difficult to process large data sets and data with different time granularity. At present, this paper takes the decision table transformation method of financial time series data as the research object, and puts forward the trend division method of financial time series based on different time granularity through the trend division of financial time series. On this basis, it puts forward the trend extreme point extraction method, and constructs the stock time series decision table according to the extreme point information and combined with the stock technical indicators, The decision table is verified by support vector machine based on the decision table. The research shows that the trend division method under different time granularity can transform the extreme point information into a decision table, which will not produce over fitting problem in practical application. It is an effective time series processing method, and provides a new research method for the future time series research with different granularity.","PeriodicalId":179619,"journal":{"name":"Int. J. Comput. Commun. Control","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129974523","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

A New Joint Strategy for Multi-Criteria Decision-Making: A Case Study for Prioritizing Solid-State Drive 一种新的多准则决策联合策略:固态硬盘优先级的案例研究

Int. J. Comput. Commun. Control Pub Date : 2022-12-14 DOI: 10.15837/ijccc.2022.6.5010

Raman Kumar, Pankaj Goel, E. Zavadskas, Željko Stević, V. Vujovic

{"title":"A New Joint Strategy for Multi-Criteria Decision-Making: A Case Study for Prioritizing Solid-State Drive","authors":"Raman Kumar, Pankaj Goel, E. Zavadskas, Željko Stević, V. Vujovic","doi":"10.15837/ijccc.2022.6.5010","DOIUrl":"https://doi.org/10.15837/ijccc.2022.6.5010","url":null,"abstract":"Solid-state data storage is becoming a widely accepted technology and is looking for new ways to provide cost-effective solutions across various information systems. Solid-state drives (SSDs), existing in different types and models, have several sustainable features: storage, dimensions, volume, etc. Due to the wide range of attributes, designing a robust method can easily select from the purchaser/retailer/wholesaler point of view. This work offers a joint multi-criteria decision-making (MCDM) to rank SSD alternatives, and a newly developed approach, namely Measurement Alternatives and Ranking according to the Compromise Solution (MARCOS) technique, is utilised, and a comparative investigation has also been achieved with other MCDM methods. Data of separate SSDs have been collected from the Indian market with twenty-six different models of eleven brands. The Bonferroni operator (BFO) allocates and compiles the objective weights using the Entropy weights technique (EWT), the Criteria Importance through Inter criteria Correlation (CRITIC) and the Method based on the Removal Effects of Criteria (MEREC). The sensitivity analysis using objective weights considering 18 scenarios was performed, and analysis with the Standard deviation shows that the joint MCDM possesses high accuracy and robustness. The results achieved have been tested with Spearman’s rank and Wojciech-Salabun (WS) coefficient, and the first rank goes to SSD-7. The presented results benefit the manufacturers to understand the market requirement better and for the consumer to make a wise decision while purchasing SSD. It also offers future scope for applying the proposed methodology in similar areas, social sciences and engineering, to make complex decisions.","PeriodicalId":179619,"journal":{"name":"Int. J. Comput. Commun. Control","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121857960","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: 5

Bi-Level Minimal Resource Protected Key Generation Framework For Fog Computing Applications 用于雾计算应用的双级最小资源保护密钥生成框架

Int. J. Comput. Commun. Control Pub Date : 2022-12-14 DOI: 10.15837/ijccc.2022.6.4363

A. P, Bharathi.R

{"title":"Bi-Level Minimal Resource Protected Key Generation Framework For Fog Computing Applications","authors":"A. P, Bharathi.R","doi":"10.15837/ijccc.2022.6.4363","DOIUrl":"https://doi.org/10.15837/ijccc.2022.6.4363","url":null,"abstract":"Fog computing is a viewpoint that expands on the Cloud stage concept by placing processing assets at the organization’s edges. It might be described as a cloud-like platform with comparable data, computation, storage, and applications. They are unique in that they are decentralized in nature. Data protection and route analysis of time-sensitive data are made easier using fog computing. This minimizes the volume and distance of data sent to the cloud, lowering the risk of security and privacy breaches in IoT applications. When it comes to security and privacy, fog computing confronts several issues. The constraints of fog computing resources are the root of these difficulties. The fog system, in fact, may raise new security and privacy concerns. To address these challenges, cryptography is used in conjunction with key management techniques to provide safe data transfer. A Minimal Resource Viterbi based Bi-level Secured Key Generation (MRV-BSKG) technique for a secured fog-based system is proposed to compromise the security level and computational complexity. The BSKG technique, which combines Lagrange’s Key Generation (LKG) and the Location-Based Key (LBK) generation approaches, can safeguard secrecy and integrity. In comparison to the previous techniques, the new MRV, BSKG, delivers security with improved outcomes.","PeriodicalId":179619,"journal":{"name":"Int. J. Comput. Commun. Control","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131648801","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

Digitalisation and the sharing economy. A survey-based research on Airbnb in Romania 数字化和共享经济。对罗马尼亚Airbnb的调查研究

Int. J. Comput. Commun. Control Pub Date : 2022-12-14 DOI: 10.15837/ijccc.2022.6.5004

A. Badulescu, D. Badulescu, R. Simuț, Elena Herte, Afrodita Borma, Ionut Pandelica

引用次数: 0

Smart Agriculture: IoT-based Greenhouse Monitoring System 智慧农业:基于物联网的温室监测系统

Int. J. Comput. Commun. Control Pub Date : 2022-12-14 DOI: 10.15837/ijccc.2022.6.5039

A. Simo, S. Dzitac, G. Badea, D. Meianu

引用次数: 3

Supplier Selection Model Based on D Numbers and Transformation Function 基于D数和转换函数的供应商选择模型

Int. J. Comput. Commun. Control Pub Date : 2022-09-29 DOI: 10.15837/ijccc.2022.5.4468

Leihui Xiong, Xiaoyan Su, Hong Qian

{"title":"Supplier Selection Model Based on D Numbers and Transformation Function","authors":"Leihui Xiong, Xiaoyan Su, Hong Qian","doi":"10.15837/ijccc.2022.5.4468","DOIUrl":"https://doi.org/10.15837/ijccc.2022.5.4468","url":null,"abstract":"Selecting reasonable suppliers can effectively improve the efficiency of enterprise supply chain management. Among them, expert evaluation is an important part of supplier selection problem, but the uncertainty, fuzziness and incompleteness of expert opinions make supplier selection problem difficult to solve. In order to systematically and effectively solve the uncertainty, ambiguity and incompleteness in supplier selection problem, this paper presents a new supplier selection method based on D numbers and transformation function. First, fuzzy preference relation is generated based on the decision matrix of pairwise comparisons given by experts. D numbers which can effectively deal with uncertain information extend fuzzy preference relation (D matrix). Second, the D matrix is converted into a crisp matrix form based on the integration representation of D numbers according to different situations whether or not the information in D matrix is complete. Third, the crisp matrix is converted into judgement matrix by using the transformation functions. Finally, analytic hierarchy process (AHP) method is applied based on the judgment matrix to give a priority weights for decision making. Three numerical examples and application of the supplier selection are used to show the feasibility and effectiveness of the proposed method.","PeriodicalId":179619,"journal":{"name":"Int. J. Comput. Commun. Control","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124712861","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

Efficient Classification of Satellite Image with Hybrid Approach Using CNN-CA 基于CNN-CA的卫星图像混合分类

Int. J. Comput. Commun. Control Pub Date : 2022-09-29 DOI: 10.15837/ijccc.2022.5.4485

S. Poonkuntran, V. Abinaya, Manthira Moorthi Subbiah, M. Oza

{"title":"Efficient Classification of Satellite Image with Hybrid Approach Using CNN-CA","authors":"S. Poonkuntran, V. Abinaya, Manthira Moorthi Subbiah, M. Oza","doi":"10.15837/ijccc.2022.5.4485","DOIUrl":"https://doi.org/10.15837/ijccc.2022.5.4485","url":null,"abstract":"Today, satellite imagery is being utilized to help repair and restore societal issues caused by habitats for a variety of scientific studies. Water resource search, environmental protection simulations, meteorological analysis, and soil class analysis may all benefit from the satellite images. The categorization algorithms were used generally and the most appropriate strategies are also be used for analyzing the Satellite image. There are several normal classification mechanisms, such as optimum likelihood, parallel piping or minimum distance classification that have presented in some other existing technologies. But the traditional classification algorithm has some disadvantages. Convolutional neural network (CNN) classification based on CA was implemented in this article. Using the gray level Satellite image as the target and CNN image classification by the CA’s selfiteration mechanism and eventually explores the efficacy and viability of the proposed method in long-term satellite remote sensing image water body classification. Our findings indicate that the proposed method not only has rapid convergence speed, reliability but can also efficiently classify satellite remote sensing images with long-term sequence and reasonable applicability. The proposed technique acquires an accuracy of 91% which is maximum than conventional methods.","PeriodicalId":179619,"journal":{"name":"Int. J. Comput. Commun. Control","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132936768","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

Evolutionary Computation Paradigm to Determine Deep Neural Networks Architectures 确定深度神经网络架构的进化计算范式

Int. J. Comput. Commun. Control Pub Date : 2022-09-29 DOI: 10.15837/ijccc.2022.5.4886

R. Ivanescu, Smaranda Belciug, Andrei Nascu, M. Serbanescu, D. Iliescu

引用次数: 2