2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)最新文献_第4页

Nonlinear Control Allocation for Interacting Control Effectors using Bivariate Taylor Expansion 基于二元泰勒展开的相互作用控制效应器的非线性控制分配

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-10 DOI: 10.1109/CoDIT.2018.8394861

Jahanzeb Rajput, Xiaobo Qu, Hafiz Zeeshan Iqbal Khan

引用次数: 3

Modeling and Forecasting of Fuel Selling Price Using Time Series Approach: Case Study 基于时间序列方法的燃料销售价格建模与预测:案例研究

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-10 DOI: 10.1109/CoDIT.2018.8394835

Younes Fakhradine El Bahi, L. Ezzine, Haj El Moussami, Zineb Aman

{"title":"Modeling and Forecasting of Fuel Selling Price Using Time Series Approach: Case Study","authors":"Younes Fakhradine El Bahi, L. Ezzine, Haj El Moussami, Zineb Aman","doi":"10.1109/CoDIT.2018.8394835","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394835","url":null,"abstract":"The liberalization of the petroleum sector in Morocco has a significant effect for petroleum product distributors. Since the beginning of December 2015, fuel prices are freely determined. This event presents many constraints affecting the balance of the sector plus the competition between its economic players. The lack of accompanying measures by the State makes this vital reform for public finances that stop subsidizing the price of gasoline vulnerable. With the halt of the competitive manufacturing's activity, Morocco's only refinery, distributors must, for their part, build up large stocks. As all fuel products are imported, we will be interested in the evolution by making forecasts of the price of fuels in the Moroccan market. In order to achieve their objectives, the oil companies must rely on precise forecasts. In this context, our paper aims mainly to study the time series of diesel and gasoline in order to provide precise forecasts to the company and to respect the permissible error margin of 3%. To this end, we worked with the ARIMA method. We found that the ARIMA model (1,1,1) gives forecasts of the price of gasoline near the margin to be met for the first quarter of the current year with an average error margin of 2,855%. In addition, the assumption that the residuals are a Gaussian white noise has always been verified.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122463650","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

Stochastic Optimization Methods Based Robust Control for DC/DC Buck Converter 基于随机优化方法的DC/DC降压变换器鲁棒控制

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-10 DOI: 10.1109/CoDIT.2018.8394886

H. Abderrezek, A. Ameur, M. N. Harmas

引用次数: 3

A Comparison of Evolutionary Algorithms and Gradient-based Methods for the Optimal Control Problem 最优控制问题的进化算法与梯度方法的比较

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-10 DOI: 10.1109/CoDIT.2018.8394805

A. Diveev, S. Konstantinov, E. Sofronova

引用次数: 3

A Robust Watermarking Scheme Over Quadrant Medical Image in Discrete Wavelet Transform Domain 基于离散小波变换域的四象限医学图像鲁棒水印算法

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-10 DOI: 10.1109/CoDIT.2018.8394908

Onur Goker, Nazli Nazli, Mehmet Murat Erol, R. Choupani, Erdogan Dogdu

引用次数: 3

Online Battery Pack State of Charge Estimation via EKF-Fuzzy Logic Joint Method 基于ekf -模糊逻辑联合法的电池组充电状态在线估计

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-10 DOI: 10.1109/CoDIT.2018.8394964

Letian Wang, A. Savvaris, A. Tsourdos

{"title":"Online Battery Pack State of Charge Estimation via EKF-Fuzzy Logic Joint Method","authors":"Letian Wang, A. Savvaris, A. Tsourdos","doi":"10.1109/CoDIT.2018.8394964","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394964","url":null,"abstract":"Hybrid Electric Propulsion System (HEPS) is attracting growing interest from researchers and other stakeholders working in the field. The pace of technology development is accelerating due to pressures for more energy efficient air vehicles with lower emissions and environmental impact; and to meet ACARE 2050 targets. The battery pack State of Charge (SOC) plays a critical role in the HEPS supervisory controller. In this paper, firstly a new operation-classification battery model is proposed for Li-Po battery. Moreover, since the accuracy of parameter identification is important in state estimation. An event triggered Adaptive Genetic Algorithm (AGA) is used for online parameter identification. Secondly, the Extended Kalman Filter (EKF) is applied for single battery cell SOC estimation. Furthermore, based on maximum and minimum battery cell voltages and SOC values, a Fuzzy Logic Estimator (FLE) is used for pack SOC estimation. Experimental results show that the proposed AGA can effectively track battery parameter variation and the SOC estimation error for single cell and for the complete battery pack with less than 1% error.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115759707","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: 8

On the Impact of Numerical Accuracy Optimization on General Performances of Programs 数值精度优化对程序一般性能的影响

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-10 DOI: 10.1109/CoDIT.2018.8394897

Nasrine Damouche, M. Martel

引用次数: 0

Modeling Time of Use Pricing for Load Aggregators Using New Mathematical Programming with Equality Constraints 基于等式约束的新型数学规划的负荷聚合器使用时间定价模型

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-10 DOI: 10.1109/CoDIT.2018.8394778

Saeed Ahmadian, H. Malki, A. Sadat

{"title":"Modeling Time of Use Pricing for Load Aggregators Using New Mathematical Programming with Equality Constraints","authors":"Saeed Ahmadian, H. Malki, A. Sadat","doi":"10.1109/CoDIT.2018.8394778","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394778","url":null,"abstract":"Demand Response (DR) and Time of Use (TOU) pricing for retail electricity market is the key to reduce total system costs in smart grids. In this paper, a bi-level optimization model for the time of use pricing problem is presented. The interactions between electricity Load Aggregators (LAs) and end-users in the smart grid is applied to obtain optimal TOU in the retail market. For the LAs, there is a revenue maximization problem (upper level), and for end-users there is a cost minimization problem (lower level). The proposed method defines a novel concept of the Retail Market Clearing Price (RMCP) by modeling DR at the lower level. It is proven that at the demand side, there is a unique marginal cost price, which will fulfill the end-user cost minimization problem. The proposed algorithm defines adequate TOU mechanism by presenting mathematical model of end-users response to electricity prices. To solve the lower level problem, a new Mixed Integer Linear Programming (MILP) problem is presented, which uses the Karush-Kuhn-Tucker (KKT) conditions and Mathematical Programming with Equality Constraints (MPEC). To validate the proposed model, three different competitive LAs were considered.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126977978","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: 13

Access Control by Signature-Keys to Provide Privacy for Cloud and Big Data 基于签名密钥的访问控制，为云和大数据提供隐私保护

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-10 DOI: 10.1109/CoDIT.2018.8394916

Anwar Chitheer Jasim, N. Tapus, Imad Ali Hassoon

{"title":"Access Control by Signature-Keys to Provide Privacy for Cloud and Big Data","authors":"Anwar Chitheer Jasim, N. Tapus, Imad Ali Hassoon","doi":"10.1109/CoDIT.2018.8394916","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394916","url":null,"abstract":"Privacy of data in subjects of cloud computing or big data is one of the most principal issues. The privacy methods studied in previous research showed that privacy infringement for cloud computing or big data happened because multi risks on data by external or internal attackers. An important risk to take into consideration when speaking of the privacy of the stored transactions is represented by the transactions' information which is not in the owner's control. Such a case is represented by the cloud servers that are administered by cloud providers which cannot be wholly trusted by the users with sensitive, private data such as business plans or private information. A simple method for protecting data privacy is by applying certain privacy techniques onto transactions' data, followed by the upload of the modified data into the cloud. In this paper, we are proposing a case study that is built on levels containing three models: cloud's architecture, transaction's manager and clients. Moreover, we consider that our case study is based on the premise of zero trust among the three models, therefore all the transactions take place with third-parties and the data movements are realized going through various levels of security.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124387386","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

Filtering Risks using Bipolar Fuzzy Nominal Classification 使用双极模糊名义分类过滤风险

2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) Pub Date : 2018-04-10 DOI: 10.1109/CoDIT.2018.8394894

A. Tchangani, F. Pérés

{"title":"Filtering Risks using Bipolar Fuzzy Nominal Classification","authors":"A. Tchangani, F. Pérés","doi":"10.1109/CoDIT.2018.8394894","DOIUrl":"https://doi.org/10.1109/CoDIT.2018.8394894","url":null,"abstract":"Managing risks for large-scale complex systems requires identifying, assessing, and prioritizing different risk scenarios or undesirable events that systems may face; coping with risks when engaged in some activities or decision making processes such as deciding to invest in a company or a country, to offer loans to applicants, to recruit a candidate to fill vacant position, to fund projects or infrastructures, etc. necessitate to categorize the targeted entities. Prioritizing or filtering risks (undesirable events or events scenarios) or categorizing risky entities for some activities return to assigning them to a predefined classes or categories for their appropriate treatment. On other hand a scenario or an entity as well as a class or category will be characterized by some attributes that represent basically its impact or constraints on different objectives, issues, stakes, or consequences that do represent some interests for decision makers and/or stakeholders. This is a nominal classification problem that is a subfield of multi-criteria decision making problems in general. As the attributes and/or features characterizing classes may not be defined precisely, a fuzzy representation can be used to treat this uncertainty leading to what is known as fuzzy nominal classification. If one was to classify using only one feature there will be some values of that feature that leads to certain choice or certain rejection of a particulate class and those for which some hesitation or doubt will exist leading to some bipolarity. In this communication, a bipolar fuzzy nominal classification framework will be built to address risks filtering and/or categorization issues; a real world application in the domain of countries' risk classification show the potentiality of the derived approach.","PeriodicalId":128011,"journal":{"name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","volume":"242 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121811756","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