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The use of fuzzy information retrieval techniques in construction of multi-centre knowledge-based systems

International Conference on Information Processing and Management of Uncertainty in Knowledge-Based systems, 1986

作者： Kohout, Ladislav J. Bandler, Wyllis Department of Computer Science Brunel University of West London UxbridgeMiddx. United Kingdom Institute for Expert Systems and Robotics Department of Computer Science Florida State University TallahasseeFL32306 United States

ISBN: (纸本)9783540185796

The paper outlines the role of Information Retrieval techniques in the construction of Knowledge-Based systems. A Functional Communication Structure selects and communicates the relevant information by means of fuzzy logical and fuzzy relational requests between the individual knowledge acceptors and knowledge donors. The theory of fuzzy relational products developed by Bandler and Kohout qualifies as an especially adequate tool to handle fuzziness of selection as well as fuzziness of information contents. © 1987, Springer-Verlag.

关键词： Knowledge based systems

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Reconfigurable Communication Middleware for Flex Ray-Based Distributed Embedded systems

Reconfigurable Communication Middleware for Flex Ray-Based D...

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IEEE International Conference on Embedded and real-time Computing systems and Applications (RTCSA)

作者： Diptesh Majumdar Licong Zhang Purandar Bhaduri Samarjit Chakraborty Department of Computer Science and Engineering IIT Guwahati India TU Institute for Real-Time Computer Systems Munich Germany

In this paper we consider the case of a network of Electronic Control Units (ECUs) connected through a Flex Ray bus in the automotive domain. Multiple distributed applications can run on this underlying architecture, each partitioned into tasks that are mapped on different ECUs. These applications can often be executed in different functional modes with different requirements on the communication resources in terms of data size and sampling period. Moreover, new applications can be deployed on to the ECUs at run-time. To efficiently utilize the communication resources and accommodate new applications, a certain flexibility in reallocation of the resource is necessary. However, the Flex Ray bus requires static configuration of schedules and data mapping in order to guarantee a more deterministic system behavior, allowing little room for flexibility. In order to address this problem, we propose a reconfigurable communication middleware that lies between the application layer and the communication controller layer, which maps messages onto Flex Ray schedules, and can be reconfigured at runtime. The configuration is synthesized and deployed online, allowing a certain reallocation of communication resources to applications. In this paper, we describe the design of such a reconfigurable communication middleware and demonstrate its function with an implementation using industry-strength Flex Ray design tools.

关键词： Schedules Middleware Indexes Protocols Vehicles Payloads Automotive engineering

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Next-generation smart homes: CO 2 monitoring with Matter protocol to support indoor air quality

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Internet of Things 2025年

作者： Afonso Mota Carlos Serôdio Ana Briga-Sá Antonio Valente Department of Engineering School of Sciences and Technology Universidade de Trás-os-Montes e Alto Douro (UTAD) 5000-801 Vila Real Portugal Center ALGORITMI Universidade do Minho Campus de Azurém Guimarães 4800-058 Portugal CQ-VR (Center of Chemistry of Vila Real) Universidade de Trás-os-Montes e Alto Douro 5000-801 Vila Real Portugal CRIIS (Centre for Robotics in Industry and Intelligent Systems) INESC-TEC—Institute for Systems and Computer Engineering Technology and Science Campus da FEUP Porto 4200-465 Portugal

Humans spend most of their time indoors, where air quality and comfort are crucial to health and well-being. Elevated CO 2 levels in buildings can reduce cognitive function, discomfort, and health issues. Indoor CO 2 monitoring has emerged as a key focus in the literature, particularly in residential buildings, as it can play a vital role in helping to maintain adequate ventilation rates. The growing smart home market demands seamless integration and control, which are essential for implementing IAQ sensing devices. However, interoperability barriers between platforms and devices continue to hinder smart home adoption. To address these challenges, Matter protocol is starting to appear in the market. In this work, a wireless CO 2 sensor is developed based on ESP32-C6 and SCD40 and integrated into a created Matter-enabled ecosystem formed with the Home Assistant open-source platform. The utilized hardware and software enable the usage of two different wireless communication technologies, WiFi and Thread, enhancing compatibility. The study highlights the rapid and seamless onboarding of the developed CO 2 monitoring device into smart home ecosystems using the Matter protocol. As a result, once the device is successfully added to the ecosystem, the measurements can be accessed and analyzed through a mobile application, forming an IoT environment.

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A Toolkit to Generate Social Navigation Datasets 21st

A Toolkit to Generate Social Navigation Datasets

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21st International Workshop of Physical Agents, WAF 2020

作者： Baghel, Rishabh Kapoor, Aditya Bachiller, Pilar Jorvekar, Ronit R. Rodriguez-Criado, Daniel Manso, Luis J. Department of Computer Science and Engineering Indian Institute of Information Technology Guwahati Guwahati India Department of Computer Science and Information Systems Birla Institute of Technology and Science Goa Pilani India Robotics and Artificial Vision Laboratory University of Extremadura Badajoz Spain Department of Computer Engineering Pune Institute of Computer Technology Pune India Department of Computer Science College of Engineering and Physical Sciences Aston University Birmingham United Kingdom

ISBN: (纸本)9783030625788

Social navigation datasets are necessary to assess social navigation algorithms and train machine learning algorithms. Most of the currently available datasets target pedestrians’ movements as a pattern to be replicated by robots. It can be argued that one of the main reasons for this to happen is that compiling datasets where real robots are manually controlled, as they would be expected to behave when moving, is a very resource-intensive task. Another aspect that is often missing in datasets is symbolic information that could be relevant, such as human activities, relationships or interactions. Unfortunately, the available datasets targeting robots and supporting symbolic information are restricted to static scenes. This paper argues that simulation can be used to gather social navigation data in an effective and cost-efficient way and presents a toolkit for this purpose. A use case studying the application of graph neural networks to create learned control policies using supervised learning is presented as an example of how it can be used. © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Navigation

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An intensity-augmented ordinal measure for visual correspondence

An intensity-augmented ordinal measure for visual correspond...

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2006 IEEE computer Society Conference on computer Vision and Pattern Recognition, CVPR 2006

作者： Mittal, Anurag Ramesh, Visvanathan Real Time Vision and Modeling Siemens Corporate Research Princeton NJ 08540 Department of Computer Science and Engg. Indian Institute of Technology Madras Chennai- 600036 India

ISBN: (纸本)0769525970

Determining the correspondence of image patches is one of the most important problems in computer Vision. When the intensity space is variant due to several factors such as the camera gain or gamma correction, one needs methods that are robust to such transformations. While the most common assumption is that of a linear transformation, a more general assumption is that the change is monotonic. Therefore, methods have been developed previously that work on the rankings between different pixels as opposed to the intensities themselves. In this paper, we develop a new matching method that improves upon existing methods by using a combination of intensity and rank information. The method considers the difference in the intensities of the changed pixels in order to achieve greater robustness to Gaussian noise. Furthermore, only uncorrelated order changes are considered, which makes the method robust to changes in a single or a few pixels. These properties make the algorithm quite robust to different types of noise and other artifacts such as camera shake or image compression. Experiments illustrate the potential of the approach in several different applications such as change detection and feature matching. © 2006 IEEE.

关键词： Image analysis

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Integration of feature based design and feature recognition 15

Integration of feature based design and feature recognition

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ASME 1995 15th International computers in Engineering Conference, CIE 1995 and the ASME 1995 9th Annual Engineering Database Symposium collocated with the ASME 1995 Design Engineering Technical Conferences

作者： Han, JungHyun Requicha, Aristides A.G. Programmable Automation Laboratory Computer Science Department Institute for Robotics and Intelligent Systems University of Southern California Los AngelesCA United States

ISBN: (纸本)9780791817018

Process planning for machined parts typically requires that a part be described through machining features such as holes, slots and pockets. This paper presents a novel feature finder, which automatically generates a part interpretation in terms of machining features, by utilizing information from a variety of sources such as nominal geometry, tolerances and attributes, and design features. The feature finder strives to produce a desirable interpretation of the part as quickly as possible. If this interpretation is judged unacceptable by a process planner, alternatives can be generated on demand. The feature finder uses a hint-based approach, and combines artificial intelligence techniques, such as blackboard architecture and uncertain reasoning, with the geometric completion procedures first introduced in the OOFF system previously developed at USC. © 1995 American Society of Mechanical Engineers (ASME). All rights reserved.

关键词： Gas turbines

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Knowledge Discovery by Reversing Inductive Knowledge Representation 9

Knowledge Discovery by Reversing Inductive Knowledge Represe...

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9th International Conference on Principles of Knowledge Representation and Reasoning, KR 2004

作者： Kern-Isberner, Gabriele Fisseler, Jens Department of Computer Science Fern Universitaet Hagen Hagen58084 Germany Institute for Robotics Cognitive Systems Universitaet Luebeck Luebeck23538 Germany

ISBN: (纸本)1577351991

In a very basic sense, the aim of knowledge discovery is to reveal structures of knowledge which can be seen as being represented by structural relationships. In this paper, we make this notion more precise and present a method how to extract structural information from statistical data. There are two key ideas underlying our approach: First, knowledge discovery is understood as a process which is inverse to inductive knowledge representation. So the relevance of discovered information is judged with respect to the chosen representation method. Second, the link between structural and numerical knowledge is established by an algebraic theory of conditionals, which considers conditionals as agents acting on possible worlds. By applying this theory, we develop an algorithm that computes sets of probabilistic rules from distributions. In particular, we show how sparse information can be dealt with appropriately in our framework. The inductive representation method used here is based on information theory, so that the discovered rules can be considered as being most informative in a strict, formal sense. Copyright © 2004, American Association for Artificial Intelligence (***). All rights reserved.

关键词： Knowledge representation

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Knowledge Engineering with Big Data

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IEEE Intelligent systems 2015年第5期30卷 46-55页

作者： Wu, Xindong Chen, Huanhuan Wu, Gongqing Liu, Jun Zheng, Qinghua He, Xiaofeng Zhou, Aoying Zhao, Zhong-Qiu Wei, Bifang Gao, Ming Li, Yang Zhang, Qiping Zhang, Shichao Lu, Ruqian Zheng, Nanning School of Computer Science and Information Engineering Hefei University of Technology China University of Vermont United States University of Edinburgh School of Computer Science United Kingdom School of Computer Science University of Science and Technology of China China Department of Computer Science Xi'An Jiaotong University China Institute for Data Science and Engineering East China Normal University China Pennsylvania State University United States Fudan University China Department of Computer Science Zhejiang Gongshang University China Deakin University Australia Academy of Mathematics and Systems Science Chinese Academy of Sciences China Institute of Artificial Intelligence and Robotics Xi'An Jiaotong University China Keio University Japan

In the era of big data, knowledge engineering faces fundamental challenges induced by fragmented knowledge from heterogeneous, autonomous sources with complex and evolving relationships. The knowledge representation, acquisition, and inference techniques developed in the 1970s and 1980s, driven by research and development of expert systems, must be updated to cope with both fragmented knowledge from multiple sources in the big data revolution and in-depth knowledge from domain experts. This article presents BigKE, a knowledge engineering framework that handles fragmented knowledge modeling and online learning from multiple information sources, nonlinear fusion on fragmented knowledge, and automated demand-driven knowledge navigation. © 2001-2011 IEEE.

关键词： Intelligent systems

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Self-adaptive harris corner detector on heterogeneous many-core processor 8

Self-adaptive harris corner detector on heterogeneous many-c...

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2014 8th Conference on Design and Architectures for Signal and Image Processing, DASIP 2014

作者： Paul, Johny Stechele, Walter Sousa, Éricles Lari, Vahid Hannig, Frank Teich, Jürgen Kröhnert, Manfred Asfour, Tamim Institute for Integrated Systems Technical University of Munich Germany Department of Computer Science University of Erlangen-Nuremberg Germany Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Germany

ISBN: (纸本)9791092279054

The recent years have shown the emergence of heterogeneous system architecture (HSA), which offers massive computational power assembled into a compact design. computer vision applications with massive inherent parallelism highly benefits from such heterogeneous processors with on-chip CPU and GPU units. The highly parallel and compute intensive parts of the application program can be mapped to the GPU while the control flow and high level tasks may run on the CPU. However, they pose considerable challenge to software development due to their hybrid architecture. Sharing of resources (GPU or CPU) among applications running concurrently, leads to variations in processing interval and prolonged processing intervals leads to low quality results (frame drops) for computer vision algorithms. In this work, we propose resource-awareness and self organisation within the application layer to adapt to available resources on the heterogeneous processor. The benefits of the new model is demonstrated using a widely used computer vision algorithm called Harris corner detector. A resource-aware runtime-system and a heterogeneous processor were used for evaluation and the results indicate a well constrained processing interval and reduced frame-drops. Our evaluations demonstrate up to 20% improvements in processing rate and accuracy of the detected corner points for Harris corner detection. © 2014 European Electronic Chips & systems design Initiative - ECSI.

关键词： Graphics processing unit

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Fourier optics and pattern recognition

Fourier optics and pattern recognition

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1986 International Optical Computing Conference

作者： Kandel, Abraham Langholz, Gideon Computer Science Department Institute for Expert Systems and Robotics Florida State University TallahasseeFL32306 United States Department of Electrical Engineering Institute for Expert Systems and Robotics Florida State University TallahasseeFL32306 United States

In Fourier optics, the Fourier transformation is performed on the amplitude of the electromagnetic wave, whereas in the computational method the transformation is usually applied to the grayness of its image which is ...

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