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2016 IEEE Symposium on computers and Communication, ISCC 2016

作者： Escolar, Soledad Villa, David Villanueva, Félix J. Cantarero, Rubén López, Juan Carlos Institute of Technology and Information Systems Ciudad Real Spain Computer Science Department University of Castilla-La Mancha Ciudad Real Spain

ISBN: (纸本)9781509006793

The occurrence of emergency situations in high-rise buildings, daily hosting hundreds of people, may force the massive evacuation of their occupants with the ultimate goal of preventing the loss of lives. In this paper, we propose an adaptive algorithm for dynamically computing safe evacuation routes, while the load of people is balanced between the accesses of each floor of the building, thus avoiding the accumulation of people in hotspots. The combination of this algorithm with sensors to detect the events of interest and a navigation system to guide the evacuees turns this solution into a specially suited approach for evacuation in high-rise buildings. Simulation results demonstrate that the yield evacuation routes drive all people outdoor with a similar average path length for the different riskscenarios addressed. © 2016 IEEE.

关键词： Adaptive algorithms

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Least-space-time-first scheduling algorithm: A policy for complex real-time tasks in multiple processor systems

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Annual Review in Automatic Programming 1994年第C期18卷 33-38页

作者： Bo-Chao, Cheng Stoyenko, Alexander D Marlowe, Thomas J Real-Time Computing Laboratory Department of Computer Information Science New Jersey Institute of Technology Newark NJ 07102 United States Department of Mathematics Computer Science Seton Hall University South Orange NJ 07079 United States

Significant prior work exists on scheduling for the 'simple-tasks-single-processor', 'simple-tasks-multiple-processor', and 'complex-tasks-single-processor', but few researchers have yet considered the 'complex-tasks-multiple-processor' model. We propose a new algorithm, Least Space-time First (LSTF), to deal with the general 'complex-task-multiple-processor' model. We demonstrate that LSTF outperforms the Highest-Level-First, Earliest-Deadline-First and Least-Laxity-First scheduling disciplines in the sense of minimizing maximum tardiness of a set of tasks. LSTF can gracefully incorporate some realistic overhead assumptions, including context switch and communication. The Unit Precedence Graph and Soft-Precedence Edges significantly facilitate implementation of LSTF. © 1994.

关键词： LSTF MIMD Overhead Precedence Graph Scheduling Tardiness

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Unsupervised learning using the tensor voting graph 5

Unsupervised learning using the tensor voting graph

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5th International Conference on Scale Space and Variational Methods in computer Vision, SSVM 2015

作者： Deutsch, Shay Medioni, Gérard Computer Science Department Institute for Robotics and Intelligent Systems University of Southern California Los Angeles United States

ISBN: (纸本)9783319184609

Tensor Voting is a local, non parametric method that provides an efficient way to learn the complex geometric manifold structure under a significant amount of outlier noise. The main limitation of the Tensor Voting framework is that it is strictly a local method, thus not efficient to infer the global properties of complex manifolds. We therefore suggest constructing a unique graph which we call the Tensor Voting Graph, in which the affinity is based on the contribution of neighboring points to a point local tangent space estimated by Tensor Voting. The Tensor Voting Graph compactly and effectively represents the global structure of the underlying manifold. We experimentally demonstrate that we can accurately estimate the geodesic distance on complex manifolds, and substantially outperform all state of the art competing approaches, especially when outliers are present. We also demonstrate our method’s superior ability to segment manifolds, first on synthetic data, then on standard data sets for a motion segmentation, with graceful degradation in the presence of noise. © IFIP International Federation for Information Processing 2015.

关键词： Tensors

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Visual servoing of mobile robots using non-central catadioptric cameras

Visual servoing of mobile robots using non-central catadiopt...

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作者： Aliakbarpour, Hadi Tahri, Omar Araujo, Helder Institute of Systems and Robotics University of Coimbra Portugal Computer Science Department University of Missouri-Columbia United States

This paper presents novel contributions on image-based control of a mobile robot using a general catadioptric camera model. A catadioptric camera is usually made up by a combination of a conventional camera and a curved mirror resulting in an omnidirectional sensor capable of providing 360° panoramic views of a scene. Modeling such cameras has been the subject of significant research interest in the computer vision community leading to a deeper understanding of the image properties and also to different models for different types of configurations. Visual servoing applications using catadioptric cameras have essentially been using central cameras and the corresponding unified projection model. So far only in a few cases more general models have been used. In this paper we address the problem of visual servoing using the so-called radial model. The radial model can be applied to many camera configurations and in particular to non-central catadioptric systems with mirrors that are symmetric around an axis coinciding with the optical axis. In this case, we show that the radial model can be used with a non-central catadioptric camera to allow effective image-based visual servoing (IBVS) of a mobile robot. Using this model, which is valid for a large set of catadioptric cameras (central or non-central), new visual features are proposed to control the degrees of freedom of a mobile robot moving on a plane. In addition to several simulation results, a set of experiments was carried out on Robot Operating System (ROS)-based platform which validates the applicability, effectiveness and robustness of the proposed method for image-based control of a non-holonomic robot. © 2014 Elsevier B.V. All rights reserved.

关键词： Mobile robots

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Requirements for a real-time image processing language

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Annual Review in Automatic Programming 1994年第C期18卷 175-180页

作者： Laplante, P Marlowe, T Stoyenko, A Department of Mathematics and Computer Science Fairleigh Dickinson University Madison NJ 07940 United States also research faculty of the Real-Time Computing Laboratory (CIS NJIT) United States Department of Mathematics and Computer Science Seton Hall University South Orange NJ 07079 United States also research faculty of the Real-Time Computing Laboratory (CIS NJIT) United States Real-Time Computing Laboratory Department of Computer and Information Science New Jersey Institute of Technology Newark NJ 07102 United States

In this paper we discuss issues in real-time image processing, including applications, approaches and hardware. In particular, we discuss the failure of existing programming languages to support these considerations a... 详细信息

关键词： image processing multimedia programming languages real-time virtual reality

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AUTOMATED FABRIC INSPECTION BASED ON A STRUCTURAL TEXTURE ANALYSIS METHOD

AUTOMATED FABRIC INSPECTION BASED ON A STRUCTURAL TEXTURE AN...

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SATELLITE CONF AT THE 1988 BIANNUAL INTERNATIONAL CONF ON PATTERN RECOGNITION : RECENT ISSUES IN PATTERN ANALYSIS AND RECOGNITION

作者： TUFIS, I International Basic Laboratory for Image Processing and Computer Graphics Central Institute for Cybernetics and Information Processes Kurstr. 33 P.O.B. 1298 Berlin Germany Department of Robotics and Real Time Systems Research Institute for Computer Technique and Informatics B-dul Miciurin 8-10 Bucharest 1 71316 Romania

ISBN: (纸本)0387518150

An approach for applying a structural texture analysis method to automatic visual inspection of fabric samples in the textile industry is presented. The main steps (image preprocessing, image segmentation, model description and matching) to accomplish this task are described and also some conclusions are drawn from the preliminary experiments. © 1989, Springer-Verlag.

关键词： Image segmentation

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XRTJ: An extensible distributed high-integrity real-time java environment

XRTJ: An extensible distributed high-integrity real-time jav...

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9th International Conference on real-time and Embedded Computing systems and Applications, RTCSA 2003

作者： Hu, Erik Yu-Shing Wellings, Andy Bernat, Guillem Real-Time Systems Research Group Department of Computer Science University of York YorkYO105DD United Kingdom

ISBN: (纸本)9783540246862

Despite Java's initial promise of providing a reliable and cost-effective platform-independent environment, the language appears to be unfavourable in the area of high-integrity systems and real-time systems. To encourage the use of Java in the development of distributed high-integrity real-time systems, the language environment must provide not only a well-defined specification or subset, but also a complete environment with appropriate analysis tools. We propose an extensible distributed high-integrity real-time Java environment, called XRTJ, that supports three attributes, i.e., predictable programming model, dependable static analysis environment, and reliable distributed run-time environment. The goal of this paper is to present an overview of our on-going project and report on its current status. We also raise some important issues in the area of distributed high-integrity systems, and present how we can deal with them by defining two distributed run-time models where safe and timely operations will be supported. © Springer-Verlag Berlin Heidelberg 2004.

关键词： real time systems

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Haptic output in multimodal user interfaces 97

Haptic output in multimodal user interfaces

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Proceedings of the 2nd international conference on Intelligent user interfaces

作者： Stefan Münch Rüdiger Dillmann University of Karlsruhe Department of Computer Science Institute for Real-Time Computer Systems and Robotics Kaiserstraβe 12 D-76128 Karlsruhe Germany

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Autonomous mobile robot teams

Autonomous mobile robot teams

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Conference on Intelligent Robots in Factory, Field, Space, and Service, 1994

作者： Agah, Arvin Bekey, George A. Institute for Robotics and Intelligent Systems Computer Science Department University of Southern California Los AngelesCA United States

This paper describes autonomous mobile robot teams, performing tasks in unstructured environments. The behavior and the intelligence of the group is distributed, and the system does not include a central command base or leader. The novel concept of the Tropism-Based Cognitive Architecture is introduced, which is used by the robots in order to produce behavior, transforming their sensory information to proper action. The results of a number of simulation experiments are presented. These experiments include worlds where the robot teams must locate, decompose, and gather objects, and defend themselves against hostile predators, while navigating around stationary and mobile obstacles. © 1993 by Arvin Agah. Published by the American institute of Aeronautics and Astronautics, Inc.

关键词： Navigation

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Unsupervised Spatio-Temporal Anomalous Thermal Behavior Monitoring of Inside-Built Environments 19

Unsupervised Spatio-Temporal Anomalous Thermal Behavior Moni...

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19th Annual International Conference on Distributed Computing in Smart systems and the Internet of Things, DCOSS-IoT 2023

作者： Khan, Naima Al Hafiz Khan, Md Abdullah Roy, Nirmalya Department of Information Systems United States Umbc Center for Real-time Distributed Sensing and Autonomy United States Kennesaw State University Department of Computer Science United States

ISBN: (纸本)9798350346497

Continual wavering of outside weather degrades the efficiency of inside building envelope over time and leads to additional energy consumption, various structural damages, etc. Frequent monitoring of the indoor built environment with thermal images can assist in identifying the energy-leaking and potentially damage-prone areas. Although in recent years different researches performed deep learning and computer vision based thermal anomaly detection in built environment, several issues related to conducting strategic non-intrusive indoor thermal inspection using temporal thermal images, are still unresolved in uncontrolled environment of residential buildings. In this work, we propose a scalable thermal image-based monitoring approach for building envelopes combining the visual knowledge of structural joint information among different building components and their corresponding temporal thermal status. We collected longitudinal thermal images from indoor scenes of different building components (e.g., door, window, wall) and employed a high-level spatio-temporal graph (st-graph) to represent the structural connection among different building components and their temporal self-changes. Our proposed novel unsupervised spatio-temporal clustering framework assigns the cluster label to nodes in st-graph, combining its structural (the self and neighboring component) and temporal features which achieves better performance in identifying thermal variation compared to other clustering based approaches. We demonstrate thermal variation across the spots which indicates the potential energy leakage areas inside the built environment. The cluster patterns obtained from our proposed model assist in understanding the thermal characteristics of various surfaces at certain conditions, such as sun reflection and airflow in the inside built environment. © 2023 IEEE.

关键词： Potential energy

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