Формалізація базових алгоритмів співставлення зі зразком в продукційних системах

Currently, there are several models of formalization of production systems. The formalization in terms of the first-order logic is the most universal. However, such formalization is not provided for all inference machinery in production systems. In particular, among the basic pattern matching algorithms, the generalized formal description was proposed only for the Rete algorithm. In the paper, the formalized description of the production system and basic matching algorithms (Rete, Treat) for further resource intensity assessment at the design stage was presented in a single format. A formal presentation of the compilation and implementation of the data flow network of the Treat algorithm was proposed. Based on the proposed formalization, the memory consumption calculation model for the Treat algorithm was extended due to taking into account memory consumption to preserve the conflict set and agree variables in the terminal vertices of the data flow network. In the future, the proposed single format of the presentation of the basic algorithms can be used for the resource intensity assessment of the Treat algorithm based on the mathematical models proposed for the Rete algorithm.В статье в едином формате представлено формализованное описание продукционной системы, компиляция Rete- и Treat-сети потока данных, а также правил перехода между узлами Treat сети. Предложена формализация Treat алгоритма сопоставления, которая может быть использована для дальнейшей оценки средней сложности. Расширена модель расчета затрат памяти для Treat алгоритма.В статті в єдиному форматі представлено формалізований опис продукційної системи, компіляцію Rete та Treat мережі потоку даних, а також правил переходу між вузлами Treat мережі. Запропоновано формалізацію співставлення за Treat алгоритмом, яка може бути використана для подальшої оцінки складності. Розширено модель розрахунку витрат пам’яті для Treat алгоритму

Вибір оптимального алгоритму співставлення зі зразком при проектуванні продукційної системи

The garment industry quickly becomes a highly developed branch due to the rapid development of technologies that contribute to high-quality design, cutting, manufacture. However, some design stages have not yet been formalized. For solving unformalized tasks, the expert systems are used. The research deals with developing the expert system prototype for rapid reorientation of women’s outerwear production. To form a subject environment, the textual method is used. Factor and cluster analyses are used to structure the subject environment. Thus, the main objective of the study is achieved by forming twelve individual tasks according to the number of individual groups, allocated in the subject environment of rapid reorientation of women’s outerwear production. Selection rules of transformation chain and values of additions at the level of chest, waist and hips are formed in tables. In each table, results are obtained at the intersection of several conditions.The expert system prototype for flexible reorientation of women’s outerwear production is designed by using the empty expert system “Rapana”. The expert system prototype implements a dialogue with the user as a series of questions and answers of the user. Some answers can have a degree of confidence. The user can revise the way of decision-making after obtaining the results. Thus, necessary conditions for further development of artificial intelligence methods in the garment production design training management and for reducing risks of wrong decision-making in conditions of rapid change in project situations are createdПредложена совокупность характеристик продукционной системы, которая зависит от формализованного представления прикладной задачи и определяют  эффективность логического вывода. На основании данных характеристик предложено схему определения оптимального по быстродействию и затратам памяти алгоритма сопоставления с образцом на этапе проектирования продукционной системы. Приведен  пример выбора алгоритма для задачи диагностирования башенной градирни.Запропонована сукупність характеристик продукційної системи, які залежать від формалізованого представлення прикладної задачі та впливають на ефективність логічного виведення. На основі даних характеристик запропоновано схему визначення оптимального за швидкодією та затратами пам’яті алгоритму співставлення зі зразком на етапі проектування продукційної системи. Приведено приклад вибору алгоритму для задачі діагностування баштової градирні

Вибір оптимального алгоритму співставлення зі зразком при проектуванні продукційної системи

The garment industry quickly becomes a highly developed branch due to the rapid development of technologies that contribute to high-quality design, cutting, manufacture. However, some design stages have not yet been formalized. For solving unformalized tasks, the expert systems are used. The research deals with developing the expert system prototype for rapid reorientation of women’s outerwear production. To form a subject environment, the textual method is used. Factor and cluster analyses are used to structure the subject environment. Thus, the main objective of the study is achieved by forming twelve individual tasks according to the number of individual groups, allocated in the subject environment of rapid reorientation of women’s outerwear production. Selection rules of transformation chain and values of additions at the level of chest, waist and hips are formed in tables. In each table, results are obtained at the intersection of several conditions.The expert system prototype for flexible reorientation of women’s outerwear production is designed by using the empty expert system “Rapana”. The expert system prototype implements a dialogue with the user as a series of questions and answers of the user. Some answers can have a degree of confidence. The user can revise the way of decision-making after obtaining the results. Thus, necessary conditions for further development of artificial intelligence methods in the garment production design training management and for reducing risks of wrong decision-making in conditions of rapid change in project situations are createdПредложена совокупность характеристик продукционной системы, которая зависит от формализованного представления прикладной задачи и определяют  эффективность логического вывода. На основании данных характеристик предложено схему определения оптимального по быстродействию и затратам памяти алгоритма сопоставления с образцом на этапе проектирования продукционной системы. Приведен  пример выбора алгоритма для задачи диагностирования башенной градирни.Запропонована сукупність характеристик продукційної системи, які залежать від формалізованого представлення прикладної задачі та впливають на ефективність логічного виведення. На основі даних характеристик запропоновано схему визначення оптимального за швидкодією та затратами пам’яті алгоритму співставлення зі зразком на етапі проектування продукційної системи. Приведено приклад вибору алгоритму для задачі діагностування баштової градирні

Fusion system based on multi-agent systems to merge data from WSN

This paper presents an intelligent multi-agent system that is aimed at improving healthcare and assistance to elderly and dependent people in geriatric residences and at their homes. The system is based on the PANGEA multi-agent architecture, which provides a high-level framework for intelligent information fusion and management. The system makes use of wireless sensor networks and a real-time locating system to obtain heterogeneous data, and is able to provide autonomous responses according to the environment status. The high-level development of the system that extracts and stores information plays an essential role to deal with the avalanche of context data. In our case, the multi-agent system approach results satisfactorily because each agent that represents an autonomous entity with different capabilities and offers different services works collaboratively with each other. Several tests have been performed on this platform to evaluate/demonstrate its validity

Multi-Agent Information Fusion System to manage data from a WSN in a residential home

With the increase of intelligent systems based on Multi-Agent Systems (MAS) and the use of Wireless Sensor Networks (WSN) in context-aware scenarios, information fusion has become an essential part of this kind of systems where the information is distributed among nodes or agents. This paper presents a new MAS specially designed to manage data from WSNs, which was tested in a residential home for the elderly. The proposed MAS architecture is based on virtual organizations, and incorporates social behaviors to improve the information fusion processes. The data that the system manages and analyzes correspond to the actual data of the activities of a resident. Data is collected as the information event counts detected by the sensors in a specific time interval, typically one day. We have designed a system that improves the quality of life of dependant people, especially elderly, by fusioning data obtained by multiple sensors and information of their daily activities. The high development of systems that extract and store information make essential to improve the mechanisms to deal with the avalanche of context data. In our case, the MAS approach results appropriated because each agent can represent an autonomous entity with different capabilities and offering different services but collaborating among them. Several tests have been performed to evaluate this platform and preliminary results and the conclusions are presented in this paper

SPD-safe: Secure administration of railway intelligent transportation systems

The railway transport system is critical infrastructure that is exposed to numerous manmade and natural threats, thus protecting this physical asset is imperative. Cyber security, privacy, and dependability (SPD) are also important, as the railway operation relies on cyber-physical systems (CPS) systems. This work presents SPD-Safe—an administration framework for railway CPS, leveraging artificial intelligence for monitoring and managing the system in real-time. The network layer protections integrated provide the core security properties of confidentiality, integrity, and authentication, along with energy-aware secure routing and authorization. The effectiveness in mitigating attacks and the efficiency under normal operation are assessed through simulations with the average delay in real equipment being 0.2–0.6 s. SPD metrics are incorporated together with safety semantics for the application environment. Considering an intelligent transportation scenario, SPD-Safe is deployed on railway critical infrastructure, safeguarding one outdoor setting on the railway’s tracks and one in-carriage setting on a freight train that contains dangerous cargo. As demonstrated, SPD-Safe provides higher security and scalability, while enhancing safety response procedures. Nonetheless, emergence response operations require a seamless interoperation of the railway system with emergency authorities’ equipment (e.g., drones). Therefore, a secure integration with external systems is considered as future work

New platform for intelligent context-based distributed information fusion

Tesis por compendio de publicaciones[ES]Durante las últimas décadas, las redes de sensores se han vuelto cada vez más importantes y hoy en día están presentes en prácticamente todos los sectores de nuestra sociedad. Su gran capacidad para adquirir datos y actuar sobre el entorno, puede facilitar la construcción de sistemas sensibles al contexto, que permitan un análisis detallado y flexible de los procesos que ocurren y los servicios que se pueden proporcionar a los usuarios. Esta tesis doctoral se presenta en el formato de “Compendio de Artículos”, de tal forma que las principales características de la arquitectura multi-agente distribuida propuesta para facilitar la interconexión de redes de sensores se presentan en tres artículos bien diferenciados. Se ha planteado una arquitectura modular y ligera para dispositivos limitados computacionalmente, diseñando un mecanismo de comunicación flexible que permite la interacción entre diferentes agentes embebidos, desplegados en dispositivos de tamaño reducido. Se propone un nuevo modelo de agente embebido, como mecanismo de extensión para la plataforma PANGEA. Además, se diseña un nuevo modelo de organización virtual de agentes especializada en la fusión de información. De esta forma, los agentes inteligentes tienen en cuenta las características de las organizaciones existentes en el entorno a la hora de proporcionar servicios. El modelo de fusión de información presenta una arquitectura claramente diferenciada en 4 niveles, siendo capaz de obtener la información proporcionada por las redes de sensores (capas inferiores) para ser integrada con organizaciones virtuales de agentes (capas superiores). El filtrado de señales, minería de datos, sistemas de razonamiento basados en casos y otras técnicas de Inteligencia Artificial han sido aplicadas para la consecución exitosa de esta investigación. Una de las principales innovaciones que pretendo con mi estudio, es investigar acerca de nuevos mecanismos que permitan la adición dinámica de redes de sensores combinando diferentes tecnologías con el propósito final de exponer un conjunto de servicios de usuario de forma distribuida. En este sentido, se propondrá una arquitectura multiagente basada en organizaciones virtuales que gestione de forma autónoma la infraestructura subyacente constituida por el hardware y los diferentes sensores

Adaptive and Reactive Rich Internet Applications

In this thesis we present the client-side approach of Adaptive and Reactive Rich Internet Applications as the main result of our research into how to bring in time adaptivity to Rich Internet Applications. Our approach leverages previous work on adaptive hypermedia, event processing and other research disciplines. We present a holistic framework covering the design-time as well as the runtime aspects of Adaptive and Reactive Rich Internet Applications focusing especially on the run-time aspects

Advances in Public Transport Platform for the Development of Sustainability Cities

Modern societies demand high and varied mobility, which in turn requires a complex transport system adapted to social needs that guarantees the movement of people and goods in an economically efficient and safe way, but all are subject to a new environmental rationality and the new logic of the paradigm of sustainability. From this perspective, an efficient and flexible transport system that provides intelligent and sustainable mobility patterns is essential to our economy and our quality of life. The current transport system poses growing and significant challenges for the environment, human health, and sustainability, while current mobility schemes have focused much more on the private vehicle that has conditioned both the lifestyles of citizens and cities, as well as urban and territorial sustainability. Transport has a very considerable weight in the framework of sustainable development due to environmental pressures, associated social and economic effects, and interrelations with other sectors. The continuous growth that this sector has experienced over the last few years and its foreseeable increase, even considering the change in trends due to the current situation of generalized crisis, make the challenge of sustainable transport a strategic priority at local, national, European, and global levels. This Special Issue will pay attention to all those research approaches focused on the relationship between evolution in the area of transport with a high incidence in the environment from the perspective of efficiency