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Euromicro Workshop on Real Time

作者： D.M. Lyons S. Mehta P.S. Gopinath North American Philips Corp. Briarcliff Manor NY USA Autonomous Systems Department Philips Laboratories North American Philips Corporation Briarcliff Manor NY USA Computer Architecture and Programming Systems Department Philips Laboratories North American Philips Corporation Briarcliff Manor NY USA

The construction of real-time software for autonomous robot systems that can operate in an uncertain and dynamic environment is considered. Techniques for representing robust robot plans using the RS (robot schema) model are developed which make it possible to separate planned decision-making from error monitoring; they give a modular way to embed error detection, diagnosis, and recovery into plans, and via the formal tools of RS they allow one to analyze plans for error behavior. However, experience in implementing the RS kernel leads to the conclusion that robustness in the plan representation alone is not sufficient. Robustness must also be incorporated in the underlying system software to complement robustness in the plan representation model. Experiences with the initial implementation of the RS execution environment kernel also emphasized the need for operating system constructs that would support the robustness inherent in the model.< >

关键词： Robustness Robotics and automation Monitoring Timing Humans Testing Semiconductor device modeling computer architecture Robot programming Laboratories

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Incremental generation of parsers 89

Incremental generation of parsers

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Proceedings of the ACM SIGPLAN 1989 conference on programming language design and implementation

作者： J. Heering P. Klint J. Rekers Department of Software Technology Centre for Mathematics and Computer Science P. 0. Box 4079 1009 AB Amsterdam The Netherlands Programming Research Group University of Amsterdam P. 0. Box 4 7 882 1009 DB Amsterdam The Netherlands

ISBN: (纸本)9780897913065

An LR-based parser generator for arbitrary context-free grammars is described, which generates parsers by need and processes grammar modifications by updating already existing parsers. We motivate the need for these techniques in the context of interactive language definition environments, present all required algorithms, and give measurements comparing their performance with that of conventional techniques.

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Research of Neural Network Methods of Visual Defectoscopy of Metal Structures

Research of Neural Network Methods of Visual Defectoscopy of...

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International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

作者： Alexander Chernikov Elena Smirnova Oleg Zhavoronkov Higher School of Automation and Robotics Peter the Great St. Petersburg Polytechnic University St. Petersburg Russia Department of System Programming Saint Petersburg State University St. Petersburg Russia Computer Vision Systems LLC St. Petersburg Russia

The production of metal pipes is an important component of metallurgy and the entire industry as a whole. Traditional surface quality control is carried out by human inspectors, which is unsatisfactory due to low productivity, reliability and economy. Therefore, the introduction of an automatic visual inspection system into this production allows you to quickly find defects in products and reduce economic losses. To solve this problem, an algorithm based on the neural networks of the YOLOv5 and Unet architectures has been created, which allows finding the bounding frames of defects and their segmentation mask from the image. The created algorithm was applied to two control sites: mandrel defectoscopy and pipe defectoscopy. For mandrel defectoscopy, the accuracy for mAP 0.5 detection is 0.785, for iou_score segmentation – 0.562. For pipe defectoscopy, the accuracy for mAP 0.5 detection is 0.693, for iou_score segmentation - 0.526.

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GLISP: A Lisp-based programming System with Data Abstraction

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AI Magazine 1983年第3期4卷

作者： Gordon S. Novak Jr. Heuristic Programming Project Computer Science Department Stanford University Stanford CA 94305

GLISP is a high-level language that is compiled into LISP It provides a versatile abstract-data-type facility with hierarchical inheritance of properties and object-centered programming GLISP programs are shorter and more readable than equivalent LISP programs The object code produced by GLISP is optimized, making it about as efficient as handwritten LISP An integrated programming environment is provided, including automatic incremental compilation, interpretive programming features, and an intelligent display-based inspector/editor for data and data-type descriptions GLISP code is relatively portable; the compiler and the data inspector are implemented for most major dialects of LISP and are available free or at nominal cost

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Design and Development of a Mobile Robotic Complex

Design and Development of a Mobile Robotic Complex

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International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE)

作者： Aigul Adamova Tamara Zhukabayeva Laula Zhumabayeva Zhanna Mukanova Khu Ven-Tsen Department of Computer engineering and software Saken Seifullin Kazakh Agrotechnical University Astana Kazakhstan Department of Computing Engineering L.N. Gumilyov Eurasian National University Astana Kazakhstan Department of Information Systems and Power Engineering S. Yessenov Caspian State University of Technology and Engineering Aktau Kazakhstan Department of Information and Computing Systems Karaganda Economic University of Kazpotrebsoyuz Karaganda Kazakhstan Department of Computer engineering and software programming M. Auezov South Kazakhstan State University Shymkent Kazakhstan

ISBN: (数字)9781538659953

ISBN: (纸本)9781538659960

Development of the mobile robot can be executed in two different ways. Firstly, this creation of the built-in system, secondly, the use of "ready to use" industrial components. With distribution of the industrial mobile robots in the market there are more and more components which can be used for creation of all control system and sensors of the robot mobile platform. Use of the ready components doesn't demand the hardware development that accelerates time of development and reduces cost. The chassis of the Belarus-132 mini-tractor is used as a platform of robotic system in the research, "creation" of the program for traffic control is required. Results of the practical research on design and model development of a mobile robotic complex are given.

关键词： Control systems Robot kinematics Mobile robots Navigation Robot sensing systems

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Artificial Intelligence in Medicine for Chronic Disease Classification Using Machine Learning

Artificial Intelligence in Medicine for Chronic Disease Clas...

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International Conference on Application of Information and Communication Technologies (AICT)

作者： Mekhriddin Rakhimov Ravshanjon Akhmadjonov Shahzod Javliev Department of Artificial Intelligence Tashkent University of Information Technologies Named After Muhammad Al-Khwarizmi Tashkent Uzbekistan Department of System and Application Programming Tashkent University of Information Technologies Named After Muhammad Al-Khwarizmi Tashkent Uzbekistan Department of Computer System Tashkent University of Information Technologies Named After Muhammad Al-Khwarizmi Tashkent Uzbekistan

ISBN: (纸本)9781665451635

Artificial intelligence (AI) systems in medicine are one of the most important modern trends in global healthcare. Artificial intelligence technologies are fundamentally changing the global healthcare system, making it possible to radically rebuild the system of medical diagnostics while reducing healthcare costs. AI is actively used in research to develop methods for diagnosing coronary heart disease (CHD). There are different types of CHD. Before treating a disease, it is necessary to determine which class of diseases it belongs to. Based on the feature space of the disease, it is possible to classify the type of CHD. Machine learning algorithms can solve this problem. The k-nearest neighbors (KNN) algorithm is a simple, easy-to-implement supervised machine learning algorithm that can be used to solve classification problems. The dataset is the more important part of the supervised machine learning algorithm for training. Gathering data is the most important step in solving any supervised machine learning problem. But choosing more important part from the collected data is one of the tasks to be solved. The main purpose of this study is to select more useful parametric attributes from the dataset to obtain a high F1-score of CHD classification.

关键词： Heart Training Machine learning algorithms Machine learning Market research Classification algorithms Information and communication technology

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Hybrid Structures Applied to Subalgebras of BCH-Algebras

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Security and Communication Networks 2021年 2021卷

作者： Muhiuddin, G. Al-Kadi, D. Khan, W.A. Jana, C. Department of Mathematics University of Tabuk Tabuk71491 Saudi Arabia Department of Mathematics and Statistic College of Science Taif University P.O. Box 11099 Taif21944 Saudi Arabia Department of Mathematics and Natural Sciences Prince Mohammad Bin Fahd University P.O. Box 1664 Al Khobar31952 Saudi Arabia Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore721102 India

The algebraic structures have many applications in coding theory, cryptography, and security networks. In this paper, the notion of hybrid subalgebras of BCH-algebras is introduced and related properties are investigated. Moreover, some characterizations of hybrid subalgebras of BCH-algebras are given. Furthermore, we state and prove some theorems in hybrid subalgebras of BCH-algebras. The homomorphic images and inverse images of fuzzy BCH-subalgebras are studied and discussed. © 2021 G. Muhiuddin et al.

关键词： Algebra

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Evaluations of Different Simultaneous Localization and Mapping (SLAM) Algorithms

Evaluations of Different Simultaneous Localization and Mappi...

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Annual Conference on IEEE Industrial Electronics Society

作者： Gurkan Tuna Kayhan Gulez V. Cagri Gungor T. Veli Mumcu Trakya University Department of Computer Programming Yildiz Technical University Electrical-Electronics Faculty Control and Automation Eng. Dept. Bahcesehir University Faculty of Engineering Department of Computer Engineering

ISBN: (纸本)9781467324199

Simultaneous Localization and Mapping (SLAM) algorithms with multiple autonomous robots have received considerable attention in recent years. In general, SLAM algorithms use odometry information and measurements from exteroceptive sensors of robots. The accuracy of these measurements and the performance of the corresponding SLAM algorithm directly affect the overall success of the system. This paper presents comparative performance evaluations of three Simultaneous Localization and Mapping (SLAM) algorithms using Extended Kalman Filter (EKF), Compressed Extended Kalman Filter (CEKF) and Unscented Kalman Filter (UKF). Specifically, it focuses on their SLAM performances and processing time requirements. To show the effect of CPU power on the processing time of SLAM algorithms, two notebooks and a netbook with different specifications have been used. Comparative simulation results show that processing time requirements are consistent with the computational complexities of SLAM algorithms. The results we obtained are consistent with the CPU power tests of independent organizations and show that higher processing power decreases processing time accordingly. The results also show that CEKF is more suitable for outdoor SLAM applications where there are a lot of natural and artificial features.

关键词： Simultaneous localization and mapping Navigation Visualization Power measurement Estimation MONOS devices

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From fault tolerance to security and back

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IEEE Distributed Systems Online 2003年第9期4卷

作者： Gartner, Felix C. Buttyan, Levente Kursawe, Klaus Swiss Fed. Institute of Technology Switzerland Budapest Univ. of Technol./Economics Hungary IBM Research Distributed Programming Laboratory Swiss Fed. Institute of Technology Lausanne Switzerland Lab. of Cryptography/System Security Budapest Univ. of Technol./Economics Hungary Department of Computer Switzerland

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Design and Implementation of a QoL Improvement System for Visually Impaired Patients

Design and Implementation of a QoL Improvement System for Vi...

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International Conference on Advances in Computational Tools for Engineering Applications, ACTEA

作者： Roy Abi Zeid Daou Jad Beaino Johnny Hawat Ramy Ibrahim Ali Hayek Josef Boercsoek Jose Javier Serrano Olmedo Mechatronics department Faculty of Engineering Université La Sagesse Beirut Lebanon MART Learning Education and Research Center Chananir Lebanon Department Lippstadt 2 Hardware Engineering University of Applied Science Hamm-Lippstadt Hamm Department of Computer Architecture and System Programming Faculty of Electrical Engineering/Computer Science University of Kassel Germany Lab of Bioinstrumentation and Nanomedicine Centro de Tecnología Biomédica Universidad Politécnica de Madrid Spain

Visually impaired people encounter several challenges in their mobility and navigation. Their daily activities are obstructed due to their inability to adapt or recognize accurately their surroundings, especially outside their house which they are more familiar with. Thus, it becomes the main reason of accidents, falling off, getting lost in unknown areas, etc. Furthermore, one of the sensory systems that helps the body to process data about the external environment is the visual system. Blind people also lose touch with the outside world, develops poor motor habits, which results in postural problems as a result. This project will assist visually impaired people in their daily life and simplify normal tasks through a system combining two previously designed projects, “Smart Shoes for Blind and Visually Impaired People”, and “Human posture monitoring device”. The multifunctional system is developed with the goal of securing safe movements for visually impaired people as well as maintaining a good back posture by detecting leaning postures (LP). The purpose of the smart shoe is to identify obstacles and protect the user from unintended accidents. A compatible Android application has been developed to alert the user when there is an obstruction or when he is walking on a wet surface. Voice alarms will be used to acoustically alert the user. If the user collapses, a message with their position will be sent right away to a relative. On the other hand, the smart vest will identify the position of the user's back and alert him to maintain a straight posture through the same application as well. As the system is dealing with human health, some safety measurements would be taken into consideration to implement a safe electrical system in order to reduce error and to increase accuracy.

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