2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)最新文献

{"title":"PV module behavior model for different external factors conditions","authors":"M. Ionescu, S. S. Iliescu, N. Arghira, I. Fagarasan","doi":"10.1109/AQTR.2016.7501328","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501328","url":null,"abstract":"A renewable technology that is gaining more and more credit and registered a fast market development during the last couple of decades is represented by photovoltaic (PV) devices. Being characterized by low energy efficiencies and high investment costs, the main interest is to exploit these equipments as productive as possible. A major problem is the fact that catalog data for photovoltaic devices is valid only for Standard Test Conditions, while the main external factors manifest a significant influence on these devices' characteristics of operation. This paper provides an accurate study regarding the behavior and performance in variable temperature and solar irradiance conditions for 128 PV modules. A new method for equivalent scheme parameters' computing, designed for the complete single exponential model, in variable external factors conditions is provided.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125676285","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}

{"title":"Agile approach with Kanban in information security risk management","authors":"V. Dorca, R. Munteanu, S. Popescu, A. Chioreanu, Claudius A. Peleskei","doi":"10.1109/AQTR.2016.7501278","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501278","url":null,"abstract":"In an ever changing business environment, in order to bring value, security risk management must keep engaged at pace with the company, by following the enterprise goals and using the same methodologies as core business units. This paper analyses how information security risk management can be automated and interlinked with the processes in a software development company, using an Agile approach with Kanban. The methodology used has been tested (Proof of Concept) applying relevant information security risks for an e-commerce business, the results showing an increase in efficiency of the risk management team, better business response and improvements of the defined risk management SLAs (Service Level Agreement).","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130004814","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}

{"title":"Estimation-based control law for appproximating Takagi-Sugeno-based controller","authors":"T. Laurain, J. Lauber, R. Palhares","doi":"10.1109/AQTR.2016.7501326","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501326","url":null,"abstract":"This paper aims to manage the problem of matrix inversion in advanced Takagi-Sugeno-based controllers such as most of the non-Parallel Distributed Compensation. These controllers are difficult to use in embedded computers that have limited performances due to technologic resources. The originality of the proposed method is to use an observer written under the descriptor form for approximating the fuzzy matrix inversion. Thanks to such an observer, the advanced controller can be approximated in both steady and transient phases. Consequently, an Estimation-based Control Law for Approximating Takagi-Sugeno-based (ECLATS) controller is developed using Lyapunov stability analysis and Linear Matrix Inequalities formulation. This ECLATS controller can provide similar performances than the advanced fuzzy ones, but without any matrix inversion. Numerical examples prove the efficiency of the estimation by comparison.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132033342","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}

{"title":"Cost-aware cloud storage service allocation for distributed data gathering","authors":"Catalin Negru, Florin Pop, M. Mocanu, V. Cristea, A. Hangan, L. Văcariu","doi":"10.1109/AQTR.2016.7501280","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501280","url":null,"abstract":"In today cyber-infrastructures, large datasets are produced in real-time by different sources geographically distributed. These data must be acquired and preserved for further use in knowledge extraction. In the context of multi-cloud environments, the cost-efficient storage service selection is a challenge. There are plenty of Cloud storage providers offering multiple options so, it is crucial to select the best solution in terms of cost and quality of service that meet customers requirements. Due to its multi-objective nature, the process of optimal service selection becomes a difficult problem. In this paper, we study the multi-objective optimization problem for storage service selection. We start from a real world case scenario and build our mathematical model for the optimization problem. Then we propose an aggregated linear programming technique to find a near optimal solution for the service selection problem.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132706561","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}

{"title":"AR.Drone UAV control parameters tuning based on particle swarm optimization algorithm","authors":"T. Mac, C. Copot, Trung Tran Duc, R. Keyser","doi":"10.1109/AQTR.2016.7501380","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501380","url":null,"abstract":"In this paper, a proposed particle swarm optimization called multi-objective particle swarm optimization (MOPSO) with an accelerated update methodology is employed to tune Proportional-Integral-Derivative (PID) controller for an AR.Drone quadrotor. The proposed approach is to modify the velocity formula of the general PSO systems in order for improving the searching efficiency and actual execution time. Three PID control parameters, i.e., the proportional gain Kp, integral gain K; and derivative gain Kd are required to form a parameter vector which is considered as a particle of PSO. To derive the optimal PID parameters for the Ar.Drone, the modified update method is employed to move the positions of all particles in the population. In the meanwhile, multi-objective functions defined for PID controller optimization problems are minimized. The results verify that the proposed MOPSO is able to perform appropriately in Ar.Drone control system.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114147036","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}

{"title":"Advanced control strategies for a periodic, two-column chromatographic process","authors":"M. Papathanasiou, A. Mantalaris, E. Pistikopoulos","doi":"10.1109/AQTR.2016.7501359","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501359","url":null,"abstract":"In this work we investigate the design and application of advanced control strategies to a chromatographic process. For the Multicolumn Countercurrent Solvent Gradient Purification process (MCSGP), a nonlinear process, described by a periodic profile, we develop a step-by-step procedure that enables the seamless development of approximate explicit advanced MPC controllers for such systems. The designed controllers assure optimal operating conditions, periodic input profiles and continuous process monitoring.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132294825","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}

{"title":"BITMIX: A hardware accelerated randomized symmetric encryption method","authors":"Sándor Lukács, Adrian Colesa, G. Sebestyen","doi":"10.1109/AQTR.2016.7501282","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501282","url":null,"abstract":"We propose a probabilistic symmetric encryption method that heavily relies on true-random numbers, both to XOR the plaintext with a random block of at least equal length (just like OTP) and to disperse resulting data at bit-level into even more randomness. Our method has several highly needed security properties. It has resistance against both CPA2 and CCA2 attacks, and it has provable ideal statistical properties - assuming that the attacker cannot break in the same time two different 256 bit hash functions and a good randomness source is available. Relying on multiple encryption layers, we argue that our method remains safe even if the involved second layer block cipher (in our implementation example AES256) and/or at most one of the implied hash functions is mathematically broken. The proposed method generates considerable ciphertext expansion and the bit-level operations take significantly more time compared with Intel hardware accelerated AES. However, our implementation shows that the Intel BMI2 instruction set can offer an over 30x speedup for the underlying bit-level dispersion algorithm, thus making our approach performance-wise affordable.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"407 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134213006","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}

{"title":"Two stage scheduling method of touristic transport in multimodal networks","authors":"Mihai Pop, M. Dobra, C. Domuta, M. Hulea, A. Astilean","doi":"10.1109/AQTR.2016.7501339","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501339","url":null,"abstract":"The presented paper proposes a method suitable to support scheduling activities in multimodal transport networks, whose adapted structures correspond to specific requirements of actual tourism services. Considering characteristic aspects of the application type, a two-stage approach was chosen to find an appropriate solution. First, a Delay Time Petri Nets (DTPN) model was developed to describe all touristic routes and their associated activities in the considered area. Then, using the elaborated model and following a visit planning, Genetic Algorithms were utilized to find convenient schedules for transport activities. For simulation purposes, scenarios inspired from real situations were chosen. The obtained results lead to the elimination of critical values of time that could generate unwanted behaviors.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134042220","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}

{"title":"Online weight estimation in a robotic gripper arm","authors":"D. Copot, C. Ionescu, I. Nascu, R. Keyser","doi":"10.1109/AQTR.2016.7501307","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501307","url":null,"abstract":"This paper presents a novel methodology for online, fast and accurate weight estimation technique in a robotic gripper arm. The laboratory setup is inspired from several real life applications of weight estimation in moving cranes, e.g. loading containers in a shipyard, iron scrapping in steel industry, etc. The weight needs to be estimated within a specified time interval and within a tolerance interval for accuracy. The results indicate that the proposed method is suitable for this kind of application and an improvement of 30% has been achieved compared to the current state of work.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133033507","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}

{"title":"Interjurisdictional collaboration in water resource management","authors":"M. Muste, M. Mocanu","doi":"10.1109/AQTR.2016.7501393","DOIUrl":"https://doi.org/10.1109/AQTR.2016.7501393","url":null,"abstract":"Current concerns regarding an efficient water resource management have highlighted the necessity of top-down and bottom-up interjurisdictional alliances that aim to collectively improve the status of the watershed and the search for sustainable solutions. Acute problems are triggered by direct (land use change) or indirect (climate change, legislation) human interventions in the natural systems within which we live. Water resources management requires the processing of a huge amount of information with different levels of accessibility and availability and in various formats. Often, the data acquisition needs to be acquired, transmitted and accessed in real time. Equally important is to have access to historical data for calibration and validation of the models. Effective watershed management requires information-rich communication among central and local authorities, private industry, citizens, and academia. Effective watershed planning, regulation and management also require timely conveyance of information to agency staff, decision makers, and the public. Customized Decision Support Systems (DSS) are required for this purpose, to provide wide access to workflows to query, visualization, and compare vital information. DSS can use basically the same information for strategic or emergency planning if the access to the data, simulations, and workflow operation can be done in real-time. It is the duty of public and private sectors to determine how to effectively support the decision-making process without neglecting the appropriate amount of evaluation and the inclusion of stakeholders in the process. The paper presents a concept for interjurisdictional collaboration in water resources management, using a DSS platform that integrates the data and information needed to support short- and long-term watershed actions. The focus of the paper is on describing an ontological framework which combines representative actors/stakeholders, hydrologic concepts and relationships with elements of offering an integrated approach to complex water related processes.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121750494","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}