Intelligent Computing for the Management of Changes in Industrial Engineering Modeling Processes

Advancements in engineering modeling have changed the work of engineers during the last two decades. Sophisticated descriptions store information about shape oriented engineering objects and their relationships. Boundary representations of form features constitute shape models. Rules and checks have replaced simple data form of shape model entity attributes. This change of modeling facilitates a next step towards application of computer intelligence at engineering object related decisions. The authors propose a method of intelligent attribute definition for integrated decision assistance environments of modelling systems. This method provides quick and comprehensive assessment of situations for decisions on modification of modeled objects in very complex information environments. The paper starts with an outline of the approach to intelligent decision assistance by the authors. Next, an Internet portal communicated scenario of the proposed modeling is discussed. Following this, multilevel solution for modeling, adding characteristics for engineering objects, and definitions and communications are detailed as essential methods in the proposed modeling. Finally, behaviors for essential classes of modeled objects and an example for the definition of situations and behaviors represent implementation issues

Desarrollo y programación de algoritmos para la evitación automática de colisiones. Aplicación a robots móviles terrestres

[ES] El objetivo de este Trabajo Fin de Máster es diseñar e implementar una metodología y sistema para dotar a un robot terrestre móvil con la capacidad de alcanzar eficientemente una posición objetivo dentro de un entorno limitado y que puede verse condicionado por obstáculos desconocidos. Para cumplir este objetivo, el sistema robótico identifica en primer lugar los obstáculos presentes en el entorno y, a continuación, planifica la mejor trayectoria que permita al robot evitar de forma eficiente cualquier posible colisión, lo cuál es un requisito necesario para su seguridad y completa autonomía. La técnica propuesta aborda la planificación y el despliegue de tales maniobras complejas del robot en un entorno real y son aplicables a cualquier entorno industrial. Esto se logra combinando modelos simples, implementaciones eficientes y simulaciones interactivas que aprovechan la agilidad y la maniobrabilidad del robot. En primer lugar, se obtiene una solucion óptima al problema de la evasión de obstáculos mediante el desarrollo de un controlador en Simulink que se basa en una implementación en Matlab del algoritmo A*, un algoritmo clásico de Inteligencia Artificial que permite calcular trayectorias de coste mínimo desde un punto inicial hasta un objetivo dado en un área delimitada. La estrategia de navegación propuesta se prueba primero con SFunctions para validar interactivamente el comportamiento del controlador, y luego en cosimulación de Simulink y el framework Simscape Multibody, para obtener una visión más real al considerar las propiedades físicas del robot y la fricción. A partir de una matriz de entradas que representa una imagen del entorno obtenida utilizando una cámara monocular, la imagen se segmenta y se procesa utilizando la herramienta software Matlab, y se calcula una trayectoria optima para ir desde un punto inicial a un punto final evadiendo los obstáculos del entorno. La trayectoria calculada se evalúa entonces mediante co-simulación, lo que permite analizar visualmente la ruta estimada seguida por el robot. A continuación, la técnica se implementa en un sistema robótico real, el LEGO MINDOSTORMS EV3, siguiendo una metodología que combina también dos sistemas software diferentes siguiendo dos enfoques complementarios: uno más académico, utilizando la biblioteca de soporte de LEGO MINDSTORMS EV3 para Simulink, que permite evaluar su comportamiento en tiempo real y otro más profesional, utilizando el lenguaje de programación basado en C para róbótica RobotC, que atestigua su aplicabilidad a cualquier sistema industrial.[EN] The goal of this Master Thesis is to design and implement a methodology and system to endow a mobile terrestrial robot with the capability to efficiently reach its goals in a bounded environment that can be constrained with unknown obstacles. To meet this goal, the robotic system first identifies the obstacles in the environment and then plans the best robot trajectory that efficiently avoids any possible collision, which is a necessary requirement for the robot to stay safe and completely autonomous. The technique proposed in this thesis supports planning and deploying of such complex robot maneuvers in a real environment and can be applied to any industrial environment. This is done by combining simple models, efficient implementations, and interactive simulations that leverage the agility and maneuverability of the robot. First, an optimal solution to the problem of obstacle avoidance is achieved by developing in Simulink a controller that relies on a Matlab implementation of the A* algorithm, a classical Artificial Intelligence algorithm that is able to compute minimal cost paths from a start point to a target point in a bounded area. The proposed navigation strategy is first tested with S-Functions to interactively validate the controller¿s behavior, and then in co-simulation of Simulink and the Simscape Multibody framework for a more real view that considers the robot¿s physical properties and friction. Starting from a matrix of input values that correspond to an image of the environment obtained by using a monocular camera, the image is segmented and processed in the Matlab software environment, and an optimal trajectory is computed which leads from the starting point to the target point without collision. The path trajectory is evaluated by using co-simulation to visually analyze the estimated path trajectory followed by the robot. Then, the technique is implemented in a real robotic system, the LEGO MINDOSTORMS EV3, by following a methodology that also combines two different software systems following two complementary approaches: a more academic one, by using LEGO MINDSTORMS EV3 support library for Simulink, which allows the robot real time behavior to be evaluated, and a more professional one, by using the C-based robotics programming language RobotC, which witnesses its applicability to any industrial system.Bahilo Alpuente, P. (2018). Desarrollo y programación de algoritmos para la evitación automática de colisiones. Aplicación a robots móviles terrestres. http://hdl.handle.net/10251/107990TFG

Computational Tools and Facilities for the Next-Generation Analysis and Design Environment

This document contains presentations from the joint UVA/NASA Workshop on Computational Tools and Facilities for the Next-Generation Analysis and Design Environment held at the Virginia Consortium of Engineering and Science Universities in Hampton, Virginia on September 17-18, 1996. The presentations focused on the computational tools and facilities for analysis and design of engineering systems, including, real-time simulations, immersive systems, collaborative engineering environment, Web-based tools and interactive media for technical training. Workshop attendees represented NASA, commercial software developers, the aerospace industry, government labs, and academia. The workshop objectives were to assess the level of maturity of a number of computational tools and facilities and their potential for application to the next-generation integrated design environment

Dependable Embedded Systems

This Open Access book introduces readers to many new techniques for enhancing and optimizing reliability in embedded systems, which have emerged particularly within the last five years. This book introduces the most prominent reliability concerns from today’s points of view and roughly recapitulates the progress in the community so far. Unlike other books that focus on a single abstraction level such circuit level or system level alone, the focus of this book is to deal with the different reliability challenges across different levels starting from the physical level all the way to the system level (cross-layer approaches). The book aims at demonstrating how new hardware/software co-design solution can be proposed to ef-fectively mitigate reliability degradation such as transistor aging, processor variation, temperature effects, soft errors, etc. Provides readers with latest insights into novel, cross-layer methods and models with respect to dependability of embedded systems; Describes cross-layer approaches that can leverage reliability through techniques that are pro-actively designed with respect to techniques at other layers; Explains run-time adaptation and concepts/means of self-organization, in order to achieve error resiliency in complex, future many core systems

Proceedings of the Second Joint Technology Workshop on Neural Networks and Fuzzy Logic, volume 2

Documented here are papers presented at the Neural Networks and Fuzzy Logic Workshop sponsored by NASA and the University of Texas, Houston. Topics addressed included adaptive systems, learning algorithms, network architectures, vision, robotics, neurobiological connections, speech recognition and synthesis, fuzzy set theory and application, control and dynamics processing, space applications, fuzzy logic and neural network computers, approximate reasoning, and multiobject decision making

Multi-Agent Systems

A multi-agent system (MAS) is a system composed of multiple interacting intelligent agents. Multi-agent systems can be used to solve problems which are difficult or impossible for an individual agent or monolithic system to solve. Agent systems are open and extensible systems that allow for the deployment of autonomous and proactive software components. Multi-agent systems have been brought up and used in several application domains

Proceedings of the 5th International Workshop on Reconfigurable Communication-centric Systems on Chip 2010 - ReCoSoC\u2710 - May 17-19, 2010 Karlsruhe, Germany. (KIT Scientific Reports ; 7551)

ReCoSoC is intended to be a periodic annual meeting to expose and discuss gathered expertise as well as state of the art research around SoC related topics through plenary invited papers and posters. The workshop aims to provide a prospective view of tomorrow\u27s challenges in the multibillion transistor era, taking into account the emerging techniques and architectures exploring the synergy between flexible on-chip communication and system reconfigurability

Large space structures and systems in the space station era: A bibliography with indexes (supplement 03)

Bibliographies and abstracts are listed for 1221 reports, articles, and other documents introduced into the NASA scientific and technical information system between January 1, 1991 and June 30, 1991. Topics covered include large space structures and systems, space stations, extravehicular activity, thermal environments and control, tethering, spacecraft power supplies, structural concepts and control systems, electronics, advanced materials, propulsion, policies and international cooperation, vibration and dynamic controls, robotics and remote operations, data and communication systems, electric power generation, space commercialization, orbital transfer, and human factors engineering