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检索条件"任意字段=International Conference on Embedded Computer Systems Architectures Modeling and Simulation"

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Distributed execution and cyber-physical design of Baggage Handling automation with IEC 61499

Distributed execution and cyber-physical design of Baggage H...

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IEEE international conference on Industrial Informatics (INDIN)

作者： Jeffrey Yan Valeriy V. Vyatkin Department of Electrical and Computer Engineering University of Auckland Auckland New Zealand

This paper proves feasibility of a fully distributed automation design of Baggage Handling systems automation. The proposed design methodology leverages IEC 61499 Function Blocks as a supporting architecture. Each physical element of the BHS, such as a conveyor is represented by a Function Block that encapsulates functionality into a single re-usable module. The proposed solution demonstrates such benefits as flexibility, fault resilience and design re-use. A graph based representation of the system layout was used for rendering of the visualisation. The solution was prototyped using ISaGRAF - the first commercial implementation of IEC 61499 and tested on a network of 50 networked control nodes, each representing an embedded controller of a single conveyor or of a group of conveyors. The Ethernet communications framework was tested to confirm the appropriate levels of network utilisation and potential sources of delay were identified. This design approach can be regarded as cyber-physical since it naturally combines simulation models into the design life-cycle, providing ready to use simulation within the design framework.

关键词： IEC standards Layout computer architecture Delay Automation Object oriented modeling Sensors

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Endpoint admission control: network based approach

Endpoint admission control: network based approach

引用

international conference on Distributed Computing systems

作者： Byung Kyu Choi R. Bettati Department of Computer Science Texas A and M University College Station TX USA

ISBN: (纸本)0769510779

Proposes a network-based endpoint admission control system for scalable QoS-guaranteed real-time communication services. This system is based on a sink tree-based resource management strategy and is particularly well-suited for differentiated services-based architectures. By performing the admission decision at the endpoints, the flow setup latency and the signaling overhead are kept to a minimum. In addition, the proposed system integrates routing and resource reservation along the routes, and therefore displays higher admission probability and better link resource utilization. This approach achieves a low overall admission control overhead because much of the delay computation is done during system configuration, and so resources can effectively be pre-allocated before run time. We investigate a number of resource-sharing approaches that allow resources to be efficiently re-allocated at run time with minimized additional overhead. We provide simulation experiments that illustrate the benefits of using sink tree-based resource management for resource pre-allocation and for routing, both with and without resource sharing.

关键词： Admission control Resource management Intserv networks Bandwidth Routing Scalability computer science Real time systems Delay effects Computational modeling

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Assessing photograph aesthetic quality with color based descriptor

Assessing photograph aesthetic quality with color based desc...

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international conference on High Performance Computing & simulation (HPCS)

作者： Xianghui Zhu Teng-Sheng Moh Department of Computer Science San Jose State University San Jose CA USA

Assessing photograph aesthetic quality is an interesting and important problem of computer vision. The understanding of how to classify photographs based on their aesthetic value not only provides us with important knowledge about effective methods and techniques of summarizing information embedded in digital images, but also has numerous practical applications in photo management systems, image search engines, photo library optimization processes, and smart cameras. Previous work has explored the method of using generic local descriptors extracted from gray-scale photographs to assess the aesthetic quality. In our work, we designed an aesthetic descriptor based on color information of local patches to asses the aesthetic quality of photographs. We employed the Bag of Words (BOW) model to describe our data. The BOW model is widely used in text analysis tasks due to its good performance. This model can also be adopted by computer vision tasks to classify and categorize images. With such a model, every photograph in our dataset was represented as a vector of visual words derived from the color descriptors. A Gaussian mixture model was used to cluster and verbalize photographs, which is proven to be highly effective in our classification task. The best performance we achieved in our experiments was 72.9% AUC.

关键词： Image color analysis Vocabulary Histograms Computational modeling Visualization Gaussian mixture model

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Reconfigurable Planar Electromagnetic Lens Array modeling for Fast Performance Evaluation

Reconfigurable Planar Electromagnetic Lens Array Modeling fo...

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Control, Electronics and computer Technology (ICCECT), IEEE international conference on

作者： Daniele Inserra Wanqiang Xu Yuqiong Zhang Zehua Li Essohan-Eyouemou Abalo Fuzhen Xie Guangjun Wen Andrea M. Tonello School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Institute of Networked and Embedded Systems Alpen-Adria-Universität Klagenfurt Klagenfurt Austria

Planar electromagnetic (EM) lenses are thin devices usually comprising sub-wavelength unit cell elements that synthesize a certain phase delay profile to focus the energy at a specific distance from the lens focal length. The design of these planar EM lenses unit cell elements is usually performed by means of full-EM simulation and optimization software. However, the full-EM simulation of the whole planar EM lens for its performance verification has an extremely large computational complexity, as well as it requires a very long simulation time. A mathematical model which describes the behavior of a planar EM lens array based on the characteristics of the EM lens unit cell elements is described in this paper. After that, this model is employed to benchmark the performance of a planar EM lens array based on a reconfigurable transmit array unit cell element, verifying the ability of the lens to reconfigure the focus characteristics to better deal with different incident angles ranges.

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An intelligent guided-airborne virus detection

An intelligent guided-airborne virus detection

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international conference on Sciences and Techniques of Automatic Control and computer Engineering (STA)

作者： Ahmed Hadded Mossaad Ben Ayed Shaya A. Alshaya Computer and Embedded System Laboratory National Engineering School Of Sfax Sfax University Sfax Tunisia Electronic Industrial ENISoSousse University Tunisia Computer and Embedded System Laboratory ENIS Sfax University Tunisia Sfax Tunisia Department of computer science Faculty of sciences and humanities sciences Majmaah University Dean of digital transformation and e-transactions Prince Sultan University Majmaah Saudi Arabia

ISBN: (纸本)9781665482622

Health has recently faced many challenges, including improving a healthy environment and reducing human life's dangers and economic crises. The last pandemic COVID-19 had badly affected survivor sectors with infection and lockdown exigence. Scientists proposed several solutions to reduce the negative impact of a such pandemic by proposing systems for earlier detection of viruses. The use of metamaterials as an emerging technology in the biosensors field allows a high accuracy. This paper presents a method for detecting and capturing airborne viruses using metasurface technology. The goal is to develop a system that can identify and capture these viruses using FET sensors. The accuracy of the detection is tied to the concentration of aerosols. The model proposes a guided flow of aerosols that positively impacts the detection of viruses through the FET biosensor. The simulation results based on Concentration and airflow velocity delays prove the proposed model's performance.

关键词： COVID-19 computer viruses Pandemics Atmospheric modeling Biological system modeling Field effect transistors Aerosols

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TMO-HILS architecture for real-time control system

TMO-HILS architecture for real-time control system

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international conference on Control, Automation and systems ( ICCAS)

作者： Jingyu Xu Hansol Park Karpjoo Jeong Chun-Hyon Chang Department of Advanced Fusion Technology Konkuk University Seoul South Korea Department of Computer Science and Engineering Konkuk University Seoul South Korea

Real-Time simulation is a most important tool that allows for prediction of system behavior in response to operator actions and events via the use of real-time and archived data. Virtual testing of operator actions prior to implementation can reveal potential problems, hence reducing human errors and the risk of service power system interruptions. Hardware-in-the-loop simulation (HILS) assists operators, engineers, and planners in making informed and logical decisions that will reduce operating costs and improve system reliability. There are some kinds of real-time embedded systems, such as UAV (Unmanned Aerial Vehicle) and UGV (Unmanned Ground Vehicle) etc, which require high confidence real-time computation and rigorous analysis to deliver high levels of mission reliability. To measure reliability of these control systems and reduce the risk of costly errors, we present the architecture of a TMO-HILS which can accept from small rapid control prototyping systems to large-scale distributed real-time simulators. To design TMO-HILS, we use a time-triggered message-triggered object (TMO) model which is a well-known real-time object model for distributed and timeliness-guaranteed computing, and makes easy to analyze and design the actual system. TMO-HILS provides easy way to validation of real-time control system like the UAV control system.

关键词： Real time systems Control systems Power system simulation Unmanned aerial vehicles Computational modeling Control system synthesis Predictive models Discrete event simulation System testing Humans

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An intelligent control strategy based on ANFIS techniques in order to improve the performance of a low-cost unmanned aerial vehicle vision system

An intelligent control strategy based on ANFIS techniques in...

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2010 IEEE/ASME international conference on Mechatronic and embedded System and Applications(2010 IEEE 机电一体化和嵌入式系统与应用国际会议)

作者： A. Hernández L. Acosta G. N. Marichal P. Campoy M.Olivares-Méndez Departamento de Ing. De Sistemas y Automática Arq. Y Tec. De Comp. Universidad de La Laguna La L Computer Vision Group. Universidad Politécnica de Madrid. Madrid 28006 Spain

In this paper, an intelligent control approach based on Neuro-Fuzzy systems is presented. A model of a lowcost vision platform for an unmanned aerial system is taken in the study. A simulation platform including this low-cost vision system and the influence of the helicopter vibrations over this system is shown. The intelligent control approach has been inserted in this simulation platform. Several trials taking these Neuro-Fuzzy systems as a fundamental part of the control strategy have been carried out. Satisfactory results have been achieved in comparison with the results provided by classical techniques.

关键词： Clocks Atmospheric modeling Helicopters Switches

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A Mobile Platform for Model-Based Monitoring of Glucose-Insulin Homeostasis for Diabetics

A Mobile Platform for Model-Based Monitoring of Glucose-Insu...

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IEEE international conference on Connected Health: Applications, systems and Engineering Technologies (CHASE)

作者： Christian Tolks Christoph Ament Claudia Eberle Faculty of Applied Computer Science Augsburg University Augsburg Germany Dep. of Nursing and Health Sciences Fulda University of Applied Sciences Fulda Germany

ISBN: (纸本)9781538672075;9781538672068

This paper presents an embedded platform for a mobile model-based monitoring system for patients with type 1 or type 2 diabetes. The demonstrator consists of blood glucose and continuous glucose measurement sensors available on the market. Recordings from these devices are transmitted and stored automatically by an open source mobile application. The main feature is a model-based simulation environment including a mathematical model of the glucose-insulin homeostasis. State estimation provides a real-time estimate of the patient's status such as plasma glucose or plasma insulin concentrations. These information can be used for alerts, predictions, and closed-loop approaches to support patients in their daily diabetes management.

关键词： Sugar Mathematical model Computational modeling Insulin Homeostasis Monitoring Diabetes

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A Dual-Critic Deep Deterministic Policy Gradient Approach for Task Offloading in Edge-Fog-Cloud Environment

A Dual-Critic Deep Deterministic Policy Gradient Approach fo...

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international conference on computer and Applications (ICCA)

作者： Moshira A. Ebrahim Gamal A. Ebrahim Hoda K. Mohamed Computer and Systems Engineering Department Faculty of Engineering Ain Shams University Cairo Egypt

Computation intensive IoT applications have grown exponentially over the past few years, which has led to the rise in popularity of the edge, fog, and cloud computing paradigms among mobile devices with embedded smart chips. Mobile Edge Computing (MEC) and Fog Computing (FC) usually cooperate with cloud computing to fulfill the high-demand requirements and optimize the network resources of complex computational offloading environments. In this paper, the topic of computational offloading for the hierarchical Edge-Fog-Cloud (EFC) computing is examined where edge, fog, and cloud nodes function as relay nodes that are constructed for latency critical and computations intensive jobs. Hierarchical EFC makes use of both centralized and distributed computing architectures considering diverse channel quality, network selection, and cloud access. This study proposes an improved Deep Reinforcement Learning (DRL) algorithm to find the optimal decision for offloading a computational task in EFC networks. simulation results validate the proposed DRL-based model by comparing it with other alternative algorithms. Experimental results demonstrate how the proposed approach can efficiently reduce the latency delay by 43% and energy cost by 32% of IoT end devices. Additionally, it can achieve a higher success rate compared with the other related algorithms with more than 16%.

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A biologically inspired computational model of Moral Decision Making for autonomous agents

A biologically inspired computational model of Moral Decisio...

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IEEE international conference on Cognitive Informatics

作者： José-Antonio Cervantes Luis-Felipe Rodríguez Sonia López Félix Ramos Department of Computer Science Cinvestav Guadalajara Mexico

In areas such as psychology and neuroscience a common approach to study human behavior has been the development of theoretical models of cognition. In fields such as artificial intelligence, these cognitive models are usually translated into computational implementations and incorporated into the architectures of intelligent autonomous agents (AAs). The main assumption is that this design approach contributes to the development of intelligent systems capable of displaying very believable and human-like behaviors. Decision Making is one of the most investigated and computationally implemented cognitive functions. The literature reports several computational models designed to allow AAs to make decisions that help achieve their personal goals and needs. However, most models disregard crucial aspects of human decision making such as other agents' needs, ethical values, and social norms. In this paper, we propose a biologically inspired computational model of Moral Decision Making (MDM). This model is designed to enable AAs to make decisions based on ethical and moral judgment. The simulation results demonstrate that the model helps to improve the believability of virtual agents when facing moral dilemmas.

关键词： Ethics Decision making Computational modeling Brain modeling Biological system modeling Psychology

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