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modeling, Analysis and control of Personal Data to Ensure Data Privacy - A Use Case Driven Approach

Modeling, Analysis and Control of Personal Data to Ensure Da...

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AHFE international conference on Human Factors in Cybersecurity

作者： Zinke, Christian Anke, Juergen Meyer, Kyrill Schmidt, Johannes InfAI eV Hainstr 11 D-04109 Leipzig Germany Hsch Telekommunikat Leipzig Gustav Freytag Str 43-45 D-04277 Leipzig Germany

ISBN: (纸本)9783319605852;9783319605845

The compliance with data protection and privacy regulations such as the European General Data Protection Regulation (GDRP) is a challenging task for companies with complex IT landscapes. Current approaches lack of a technical integration with enterprise software systems and therefore require considerable manual effort to keep permissions and retention of data in line with data protection and privacy requirements. We propose an integrated information model to link data privacy requirements with software systems, modules and data to address this problem with the help of Information Lifecycle Management (ILM) functionality. The approach is illustrated with a use case of the compliant deletion of employee data upon fulfillment of the stated purpose.

关键词： Data privacy Information lifecycle management Privacy model

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Hybrid System modeling of Multi-Agent Coverage problems with Energy Depletion and Repletion

Hybrid System Modeling of Multi-Agent Coverage Problems with...

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6th IFAC conference on Analysis and Design of Hybrid systems (ADHS) / Federated Logic conferences (FLOC)

作者： Meng, Xiangyu Houshmand, Arian Cassandras, Christos G. Boston Univ Div Syst Engn Brookline MA 02446 USA

We present a hybrid system model describing the behavior of multiple agents cooperating to solve an optimal coverage problem under energy depletion and repletion constraints. The model captures the controlled switching of agents between coverage (when energy is depleted) and battery charging (when energy is replenished) modes. Our analysis contains three parts. The first part shows how the model guarantees the feasibility of the coverage problem by defining a guard function on each agent's battery level to prevent it from dying on its way to a charging station. The second part provides two scheduling algorithms to solve the contention problem of agents competing for the only charging station in the mission space. The third part shows the optimality of the motion plan adopted in the proposed model. (C) 2018, IFAC (international Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Multi-agent coverage optimal control gradient methods infinitesimal perturbation analysis (IPA) hybrid systems

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Optimization of control Points Number at Coordinate Measurements based on the Monte-Carlo Method 11

Optimization of Control Points Number at Coordinate Measurem...

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11th international Scientific and Technical conference on Applied Mechanics and Dynamics systems

作者： Korolev, A. A. Kochetkov, A. V. Zakharov, O. V. Yuri Gagarin State Tech Univ Saratov Russia Perm Natl Res Polytech Univ Perm Russia Samara Natl Res Univ Samara Russia RAS Inst Precis Mech & Control Saratov Russia

Improving the quality of products causes an increase in the requirements for the accuracy of the dimensions and shape of the surfaces of the workpieces. This, in turn, raises the requirements for accuracy and productivity of measuring of the workpieces. The use of coordinate measuring machines is currently the most effective measuring tool for solving similar problems. The article proposes a method for optimizing the number of control points using Monte Carlo simulation. Based on the measurement of a small sample from batches of workpieces, statistical modeling is performed, which allows one to obtain interval estimates of the measurement error. This approach is demonstrated by examples of applications for flatness, cylindricity and sphericity. Four options of uniform and uneven arrangement of control points are considered and their comparison is given. It is revealed that when the number of control points decreases, the arithmetic mean decreases, the standard deviation of the measurement error increases and the probability of the measurement alpha-error increases. In general, it has been established that it is possible to repeatedly reduce the number of control points while maintaining the required measurement accuracy.

关键词： Measurement errors

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Safety Test Case Generation of Train-ground Transmission Function for CTCS Based on Fault Models

Safety Test Case Generation of Train-ground Transmission Fun...

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international conference on Intelligent Transportation

作者： Yujie Sun Kaicheng Li Lei Yuan Guodong Wei National Engineering Laboratory for Urban Rail Transit Communication and Operation Control Beijing Jiaotong University Beijing China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China

ISBN: (纸本)9781538670255

Fault-based safety tests are used to verify the safety functions of Chinese Train control System (CTCS). The complex failure modes of the system bring some challenges to generate test cases including possible failure modes for specific safety functions. In this paper, we propose a method of generating safety test cases for train control systems based on fault models. The train-ground transmission function of train control systems is selected as the research object. The failure modes which may occur in the process of train-ground information transmission are obtained by using Failure Mode and Effect Analysis (FMEA). Then, the extended UML sequence diagram is used to describe the information interaction process of the train operation scenes in which failure modes are injected. The fault extended hybrid automata models of the system are established and verified. The safety test cases containing the faults are generated by an improved test case generation tool for hybrid system. Finally, the application of this method is illustrated by combining the wireless message's loss with RBCs' handover scene. The result shows that this method can generate safety test cases including faults, which are able to provide guidance for safety tests of CTCS.

关键词： Safety control systems Automata Unified modeling language Hybrid power systems Tools Mathematical model

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Three-Port Converter with Decoupled Power control Strategies for Residential PV-Battery System 1

Three-Port Converter with Decoupled Power Control Strategies...

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IEEE Industrial-Electronics-Society (IES) international conference on Industrial Electronics for Sustainable Energy systems (IESES)

作者： Haque, M. Mejbaul Wolfs, Peter Alahakoon, Sanath Cent Queensland Univ Sch Engn & Technol Rockhampton Qld 4702 Australia Cent Queensland Univ Sch Engn & Technol Gladstone Qld 4680 Australia

ISBN: (纸本)9781509049745

The traditional method for interconnecting PV and a battery energy storage system (BESS) to a household load uses at least two separate converters. In this paper, a fully-isolated three-port converter (TPC) which is based on a dual active bridge (DAB) configuration is proposed for integrating the PV and BESS with the household loads to avoid multistage power conversion. A converter with more than two ports is normally designed to have multimode operations which requires multiple control loops. Due to these multiple cross-coupled power control loops, designing closed loop power control strategies for the TPC becomes a complex issue. This paper presents the small signal modeling of the isolated TPC with proper decoupled networks to eliminate the interaction between multiple power control loops. The decoupled network allows a closed loop power control system design for the TPC to control the port powers independently. As two degrees of freedom (DOFs) are available, the control system can control the PV port power and the ac load port power. The battery port must then provide the balancing power. The power flows between the ports are managed by phase shift modulation (PSM). The responses of the power control system of the proposed TPC with decoupled networks are verified by simulation studies.

关键词： PV battery three-port converter (TPC) decoupled network small signal modeling power flow contol

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Learning to Explore in Motion and Interaction Tasks

Learning to Explore in Motion and Interaction Tasks

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2019 IEEE/RSJ international conference on Intelligent Robots and systems (IROS)

作者： Miroslav Bogdanovic Ludovic Righetti Movement Generation and Control group Max-Planck Institute for Intelligent Systems Tübingen Germany

Model free reinforcement learning suffers from the high sampling complexity inherent to robotic manipulation or locomotion tasks. Most successful approaches typically use random sampling strategies which leads to slow policy convergence. In this paper we present a novel approach for efficient exploration that leverages previously learned tasks. We exploit the fact that the same system is used across many tasks and build a generative model for exploration based on data from previously solved tasks to improve learning new tasks. The approach also enables continuous learning of improved exploration strategies as novel tasks are learned. Extensive simulations on a robot manipulator performing a variety of motion and contact interaction tasks demonstrate the capabilities of the approach. In particular, our experiments suggest that the exploration strategy can more than double learning speed, especially when rewards are sparse. Moreover, the algorithm is robust to task variations and parameter tuning, making it beneficial for complex robotic problems.

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A Generic Framework for modeling Airport Operations At A Macroscopic Level

A Generic Framework for Modeling Airport Operations At A Mac...

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Simulation Winter conference

作者： Paolo Scala Miguel Mujica Daniel Delahaye Ji Ma Amsterdam School of International Business Amsterdam University of Applied Sciences Amsterdam THE NETHERLANDS Aviation Academy Amsterdam University of Applied Sciences Amsterdam THE NETHERLANDS Ecole Nationale de l’Aviation Civile ENAC Lab Toulouse FRANCE

ISBN: (数字)9781728132839

ISBN: (纸本)9781728120522

In this paper, a general approach for modeling airport operations is presented. Airport operations have been extensively studied in the last decades ranging from airspace, airside and landside operations. Due to the nature of the system, simulation techniques have emerged as a powerful approach for dealing with the variability of these operations. However, in most of the studies, the different elements are studied in an individual fashion. The aim of this paper, is to overcome this limitation by presenting a methodological approach where airport operations are modeled together, such as airspace and airside. The contribution of this approach is that the resolution level for the different elements is similar therefore the interface issues between them is minimized. The framework can be used by practitioners for simulating complex systems like airspace-airside operations or multi-airport systems. The framework is illustrated by presenting a case study analyzed by the authors.

关键词： Atmospheric modeling Airports Aircraft Air traffic control Optimization Instruments Aircraft navigation

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Dynamics Compensation Strategy for control of Lower Extremity Exoskeleton

Dynamics Compensation Strategy for Control of Lower Extremit...

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IEEE conference on Cybernetics and Intelligent systems

作者： Pei Pei Zhongcai Pei Han Gu Zhiyong Tang Weihai Chen School of Automation Science and Electrical Engineering Beihang University Beijing China

ISBN: (数字)9781728134581

ISBN: (纸本)9781728134598

Lower extremity exoskeleton is an intelligent system used in the military and medical rehabilitation field. Its control methods can be divided into model-based control method and model-free control method. In model-based control method, it is required to design the control rates based on the exoskeleton dynamics characteristic to maintain good dynamics. However, the dynamic model of exoskeleton is a complex non-linear system with multi-inputs and multi-outputs. It is difficult to obtain a precise model describing the dynamic characteristics. In addition, a precise exoskeleton dynamics model will increase the computational complexity. In this paper, the dynamic model of the lower extremity exoskeleton is established based on Lagrange method, and the unknown parameters in the dynamic model are identified by the Least-Square Method to obtain a more accurate system dynamics model. Then, the output results are used as the dynamic compensation of the force control inner loop in robot driving joint. The simulation results show the dynamic compensation algorithm can improve the tracking accuracy and dynamic performance of robot control.

关键词： Exoskeletons Dynamics Hip Solid modeling Legged locomotion

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Basics of Algorithms Intelligent System

Basics of Algorithms Intelligent System

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international Multi-conference on Industrial Engineering and Modern Technologies (FarEastCon)

作者： Rusyaeva E. Yu A.V. Poltavsky G.N. Ahobagze V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Science 65 Profsoyuznaya Moscow Russia

It is shown that the fundamental basis and the primary basis for the concepts in the field of algorithmization of modern intelligent systems lie in the philosophical knowledge of the world and the process of thinking as such. It is indicated that the creation of modern artificial intelligent systems is based primarily on the knowledge of the actual thinking of the person, his ability to create different ways, mechanisms, tools of intellectual activity. It is emphasized that algorithms are practically the first among them and have now become one of the main ways of building intelligent systems. It is stated that the theory of algorithms itself, as one of the basic and fundamental branches of mathematics, transforming in its time from philosophy, is based on studies of epistemology, the subject of which is the process of human knowledge as such, in its entirety. It is presented from the position of epistemology and ontology as fundamental sections for the philosophy that the creation of modern integrated modules of information technology systems is unthinkable without taking into account the complex of relationships, interactions in the system "man-machine", and algorithms are the leading way to develop any artificial systems, including intelligent systems. Science is an important area of human activity, always aimed at the development and systematization of objective knowledge about the real world.

关键词： Task analysis Intelligent systems Approximation algorithms Man-machine systems Industrial engineering Computational modeling

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Solving cross-disciplinary problems by mathematical modelling 11

Solving cross-disciplinary problems by mathematical modellin...

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11th international conference on Mechanical Engineering, Automation and control systems (MEACS)

作者： Panfilov, D. A. Romanchikov, V. V. Krupin, K. N. Samara State Tech Univ 194 Molodogvardeyska St Samara 443001 Russia Reaviz Med Univ 227 Chapaevska St Samara 443001 Russia

The article deals with the creation of a human tibia 3D model by means of "Autodesk Revit-2016" PC based on tomogram data. The model was imported into "Lira-SAPR2013 R4" software system. To assess the possibility of education and the nature of bone fracture (and their visualization), the Finite Element Analysis (FEA) method was used. The geometric parameters of the BBK model corresponded to the physical parameters of the individual. The compact plate different thickness is modeled by rigidity properties of the finite elements in accordance with the parameters on the roentgenogram. The BBK model included parameters of the outer compact plate and the spongy substance having a more developed structure of the epiphysic region. In the "Lira-SAPR2013 R4" software system, mathematical modeling of the traumatic effect was carried out and the analysis of the stress-strain state of the finite element model of the tibia was made to assess fracture conditions.

关键词： Computer software

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