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检索条件"任意字段=24th International Conference on Methods and Models in Automation and Robotics, MMAR 2019"

共 62 条记录，以下是11-20 订阅

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the Quality Interaction Function Deployment for lean Human-Robot Interaction 24

The Quality Interaction Function Deployment for lean Human-R...

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24th international conference on methods and models in automation and robotics (mmar)

作者： Bonini, Marco Urru, Augusto Echelmeyer, Wolfgang Reutlingen Univ ESB Logist Res Ctr Reutlingen Germany

ISBN: (纸本)9781728109336

In standardized sectors such as the automotive, the cost-benefit ratio of automation solutions is high as they contribute to increase capacity, decrease costs and improve product quality. In less standardized application fields, the contribution of automation to improvements in capacity, cost and quality blurs. the automation of complex and unstructured tasks requires sophisticated, expensive and low-performing systems, whose impact on product quality is oftentimes not directly perceived by customers. As a result, the full automation of process chains in the general manufacturing or the logistic sectors is often a sub-optimal solution. Taking the distance from the false idea that a process should be either fully automated, or fully manual, this paper presents a novel heuristic method for design of lean human-robot interaction, the Quality Interaction Function Deployment, with the objective of the "right level of automation". Functions are divided among human and automated agents and several automation scenarios are created and evaluated with respect to their compliance to the requirements of all process' stakeholders. As a result, synergies among operators (manual tasks) and machines (automated tasks) are improved, thus reducing time losses and increasing productivity.

关键词： Process Design HRI lean automation QFD

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Development of an Agent-Based System for Decentralized Control of District Energy Systems 24

Development of an Agent-Based System for Decentralized Contr...

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24th international conference on methods and models in automation and robotics (mmar)

作者： Fritz, Jakob M. Xhonneux, Andre Mueller, Dirk Forschungszentrum Julich IEK 10 Energy Syst Engn Julich Germany Rhein Westfal TH Aachen EON Energy Res Ctr EBC Aachen Germany

ISBN: (纸本)9781728109336

this contribution introduces a new system for distributed model predictive control of energy systems. this system uses multiple agents where each agents optimizes a subsystem. A central instance coordinates the individual agents and takes care of feasibility of the combination of the single solutions. the advantages of this approach are increased maintainability and privacy for the individual agents, thus increasing applicability to real-world systems where often multiple parties are involved in a single energy system. Where adequate, the agents perform MPC to control their subsystems. the system and method can be chosen for each agent individually. In order to build this system a framework is developed as existing frameworks lack one or more required features for the overall system. A small example is presented together with first results.

关键词： Buildings Production Resistance heating Predictive control Privacy Renewable energy sources

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Application of Artificial Intelligence in Sustainable Building Design - Optimisation methods 24

Application of Artificial Intelligence in Sustainable Buildi...

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24th international conference on methods and models in automation and robotics (mmar)

作者： Gilner, Ewa Galuszka, Adam Grychowski, Tomasz Silesian Tech Univ Inst Automat Control Gliwice Poland

ISBN: (纸本)9781728109336

the need to reduce energy consumption, resources, the introduction of new and ecological materials, the multiplicity of modern technologies available, and the complexity and multi-branch nature of architectural and construction projects means that designers must make complex and difficult decisions. this work presents currently available and used in the AEC industry project tools, sustainable building design analysis and provides an overview of the possibilities of using artificial intelligence methods and tools, such as Knowledge Based Engineering (KBE), fuzzy logic, neural networks, genetic algorithms, Monte-Carlo simulation. these methods can be used in the early design stage to improve decision making process and to optimize both the design process and the project itself. this article presents possible ways of developing AI methods for wider application in architectural design with possibilities to commercialize them.

关键词： Architectural Design Pareto Genetic Algorithms Knowledge Based Engineering AEC managing tools Decision Making

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the Application of Virtual Logic models to Simulate Real Environment for Testing Advanced Driving-Assistance Systems 24

The Application of Virtual Logic Models to Simulate Real Env...

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24th international conference on methods and models in automation and robotics (mmar)

作者： Pikus, Michal Was, Jaroslaw AGH Univ Sci & Technol Dept Appl Comp Sci Fac Elect Engn Automat Comp Sci & Biomed Engn Al Mickiewicza 30 PL-30059 Krakow Poland

ISBN: (纸本)9781728109336

Advanced driving-assistance systems (ADAS) have become more popular and received more aid in automotive business. ADAS systems evolution requires more efforts to prepare efficient and reliable systems. Because of safety restrictions we need to validate systems by driving over several million kilometers in different conditions. that is why research, development and verification processes are highly required. the best solution to solve this problem are computer simulations. Application of digital scenarios saves time, money and human resources. there are many simulators which are developed by automotive companies. In our paper we would like to present set of simulators which are used to simulate and validate camera sensors, control and path planning algorithms for ADAS. Our tools are able to simulate/emulate vehicle components and road environment elements. However, mainly in case of ADAS systems this is a difficult task. Our paper presents approaches the methodology of virtual simulations [1].

关键词： ADAS Software Verification Software Testing MIL SIL HIL Software models

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AN INTERPOLATION APPROACH TO thE INTEGER-ORDER APPROXIMATION OF FRACTIONAL-ORDER SYSTEMS 24

AN INTERPOLATION APPROACH TO THE INTEGER-ORDER APPROXIMATION...

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24th international conference on methods and models in automation and robotics (mmar)

作者： Casagrande, Daniele Krajewski, Wieslaw Viaro, Umberto Univ Udine Polytech Dept Engn & Arch Via Sci 206 I-33100 Udine Italy Polish Acad Sci Syst Res Inst Ul Newelska 6 PL-01447 Warsaw Poland

ISBN: (纸本)9781728109336

A state space integer order approximation of a commensurate order systems is obtained using a data driven interpolation approach based on Loewner matrices. Precisely, given the values of the original fractional order transfer function at a number of generalised frequencies, a descriptor form state space model matching these frequency response values is constructed from a suitable Loewner matrix pencil, as already suggested for the reduction of high dimensional integer order systems. Even if the stability of the resulting integer order system cannot be guaranteed, such an approach is particularly suitable for approximating (infinite dimensional) fractional order systems because: (i) the order of the approximation is bounded by half the number of interpolation points, (ii) the procedure is more robust and simple than alternative approximation methods, and (iii) the procedure is fairly flexible and often leads to satisfactory results, as shown by a pair of examples taken from the literature. Clearly, the approximation depends on the location, spacing and number of the generalised interpolation frequencies but there is no particular reason to choose the interpolation frequencies on the imaginary axis, which is a natural choice in integer order model reduction, since this axis does not correspond to the stability boundary of the original fractional order system.

关键词： Interpolation Transfer functions Numerical models Computational modeling Data models Stability analysis Numerical stability

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Calculation of descriptive statistics by devices with low computational resources for use in calibration of V21 system 24

Calculation of descriptive statistics by devices with low co...

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24th international conference on methods and models in automation and robotics (mmar)

作者： Kubiak, Katarzyna Banach, Marzena Dlugosz, Rafal Aptiv Serv Poland Ul Podgorki Tynieckie 2 PL-30399 Krakow Poland Adam Mickiewicz Univ Fac Math & Comp Sci Ul Umultowska 87 PL-61614 Poznan Poland Poznan Univ Tech Inst Architecture & Spatial Planning Nieszawska 13C PL-61021 Poznan Poland UTP Univ Sci & Technol Fac Telecommun Comp Sci & Elect Engn Ul Kaliskiego 7 PL-85796 Bydgoszcz Poland

ISBN: (纸本)9781728109336

In this work we present modified iterative methods for computing basic statistical quantities (mean, variance) for use in the calibration process of a system based on V2I (vehicle-to-infrastructure) communication devices. Such devices, mounted in the road and urban infrastructure (RSU road side equipment) may be used as support for autonomous vehicles moving in urban environment. Calibration is necessary to determine the positions of the RSUs in global coordinate system (GCS) and to record this information in their internal memory. the proposed modifications to conventional iterative algorithms aim at adapting these methods to the application in devices with low computational abilities or directly at the transistor level in specialized integrated circuits.

关键词： Intelligent transportation system V2I communication intelligent urban infrastructure statistical methods low power devices

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Controlling and programming a robot using virtual reality 28

Controlling and programming a robot using virtual reality

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28th international conference on methods and models in automation and robotics (mmar)

作者： Gorzelak, Maksymilian Grzejszczak, Tomasz Silesian Tech Univ Dept Automat Control & Robot Gliwice Poland

ISBN: (纸本)9798350362350;9798350362343

the paper presents software that allows a user to control and program a robot using virtual reality. the user will be equipped with a Virtual Reality kit and will be able to use it to manipulate the robot arm as if they were physically interacting with it. One key feature of the software will be the ability to set the robot in a specific position, allowing the user to create and execute complex movement sequences for the robot to follow. the use of VR technology in this context offers a unique and immersive way for users to interact with and program the robot, making it an exciting and innovative approach to robotic control.

关键词： Virtual Reality robotics Human-Robot Interface Teleoperation

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Towards general results on singular boundary value problem for second order ODEs with power type nonlinearity and two fixed singularities 20

Towards general results on singular boundary value problem f...

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20th international conference on methods and models in automation and robotics (mmar)

作者： Kycia, Radoslaw Antoni Cracow Univ Technol Fac Phys Math & Comp Sci Warszawska 24 PL-31155 Krakow Poland

ISBN: (纸本)9781479987016

An example of a simple second order ordinary differential equation with power type nonlinearity that possesses two finite fixed singular points is presented. Around these points there are local analytic solutions. these two solutions can be used to construct global analytic solution that connects these two singular points. Some concepts and motivation to general theory of a wider class of the equations that is based on results of papers [2] and [9] will be presented.

关键词： boundary value problem with singular endpoints nonlinear Ordinary Differential Equations analytic solutions matching condition

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On Assignment of the Upper Bohl Exponent for Linear Discrete-Time Systems in Infinite-Dimensional Spaces 25

On Assignment of the Upper Bohl Exponent for Linear Discrete...

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25th international conference on methods and models in automation and robotics

作者： Makarov, Evgenii Niezabitowski, Michal Popova, Svetlana Zaitsev, Vasilii Zhuravleva, Marina Natl Acad Sci Belarus Inst Math Minsk 220072 BELARUS Silesian Tech Univ Fac Automat Control Elect & Comp Sci PL-44100 Gliwice Poland Udmurt State Univ Izhevsk 426034 Russia

ISBN: (纸本)9781728173818;9781728173801

In this paper we study linear discrete-time control systems in infinite-dimensional spaces with periodically time-varying bounded input and output operators. For such systems we consider a problem of arbitrary assignability of the upper Bohl exponent by non-stationary linear static state feedback and by non-stationary linear dynamic output feedback. this is a generalization of the stabilization problem, which has been well studied for systems of various types. the main results present sufficient conditions for considered types of assignability.

关键词： Discrete-time systems Sufficient conditions State feedback automation Aerospace electronics Control systems Time-varying systems

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Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models 27

Interpretable deep learning approach for classification of b...

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27th international conference on methods and models in automation and robotics (mmar)

作者： Buler, Jakub Buler, Rafal Bobowicz, Maciej Ferlin, Maria Rygusik, Marlena Kwasigroch, Arkadiusz Grochowski, Michal Gdansk Univ Technol Dept Intelligent Control Syst & Decis Support Gdansk Poland Med Univ Gdansk Dept Radiol 2 Gdansk Poland

ISBN: (纸本)9798350311075

Breast cancer is the most frequent female cancer. Its early diagnosis increases the chances of a complete cure for the patient. Suitably designed deep learning algorithms can be an excellent tool for quick screening analysis and support radiologists and oncologists in diagnosing breast cancer. the design of a deep learning-based system for automated breast cancer diagnosis is not easy due to the lack of annotated data, especially at pixel level, the large size of the images with relatively small cancer lesion sizes and class imbalance, a wide diversity of cancerous lesions, a variety of breasts, both in size and density, make the training of the neural models challenging. Moreover, clinicians are often concerned about using these black-box models because of the lack of transparency in their inference. To address these issues, we propose an approach taking advantage of Multiple Instance Learning (MIL), supported by attention mechanisms. We researched Attention-based MIL (AMIL), Gated AMIL (GAMIL), Dual Stream MIL (DSMIL) and CLustering-constrained AMIL (CLAM) models trained in a weakly-supervised manner and compared them with a common model in image classification tasks, ResNet18. the approach described in this paper is multimodal and combines two mammographic projections (CC and MLO) in the training process. the developed neural system achieved high classification efficiency. Furthermore, exploiting the generated attentional maps allowed the localisation of cancerous lesions, thus increasing the interpretability of the algorithm. thanks to this mechanism, we were also able to detect artifacts in the analyzed database, difficult to spot but drastically skewing the algorithm's performance.

关键词： breast lesion classification weakly-supervised learning decision support diagnosis multimodal learning attention maps dataset biases trustworthy AI

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