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

Index support for rule activation

Integrated rule and database systems are quickly moving from the research laboratory into commercial systems. However, the current generation of prototypes are designed to work with small rule sets involving limited inferencing. The problem of supporting large complex rule programs within database management systems still presents significant challenges. The basis for many of these challenges is providing support for rule activation. Rule activation is defined as the process of determining which rules are satisfied and what data satisfies them. In this paper we present performance results for the DATEX database rule system and its novel indexing technique for supporting rule activation. Our approach assumes that both the rule program and the database must be optimized syn-ergistically. However, as an experimental result we have deter-mined that DATEX requires very few changes to a standard DBMS environment, and we argue that these changes are reasonable for the problems being solved. Based on the performance of DATEX we believe we have demonstrated a satisfactory solution to the rule activation problem for complex rule programs operating within a database system.

Contribuição para materialização do paradigma orientado a notificações (PON) via framework e wizard

The Emerging Notification Oriented Paradigm (NOP) is materialized in a Framework developed in the C++ language programming. The NOP Framework was designed to provide an Application Programming Interface (API) and high-level structures that would facilitate the development of software according to their orientation. However, this implies to a computational processing overhead of each NOP application. Still, an embryonic friendly Interface called Wizard was designed to provide high-level resource for the development of certain NOP applications. Thus, this work proposes a new version of materialization of NOP Framework and the evolution of its Wizard Interface. At the end, these are validated by quantitative and qualitative comparisons, in a relation to its previous artifacts. The quantitative comparisons are referent of the performance to the Framework instances, whereas the qualitative comparisons are about the facilities of yours compositions.O emergente Paradigma Orientado a Notificações (PON) está materializado em um Framework desenvolvido na linguagem de programação C++. Este foi projetado para fornecer uma Application Programming Interface (API) e estruturas de alto nível que facilitasse o desenvolvimento de software segundo sua orientação. Entretanto, isto induz a uma sobrecarga de processamento computacional em cada aplicação PON. Ainda, uma embrionária interface amigável denominada Wizard foi concebida para prover recursos de alto nível para o desenvolvimento de certas aplicações PON. Assim, este trabalho propõe uma nova materialização do Framework PON e a evolução de sua interface Wizard. Ao final, estes são validados por meio de comparações quantitativas e qualitativas em relação aos seus artefatos precedentes. A comparação quantitativa diz respeito a desempenho de instâncias de Framework, enquanto que a qualitativa sobre facilidades de suas composições em relação ao conjunto interface e Framework PON