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In this paper the approach to the solution of soft decision making for decoding and estimation of control systems elements technical state test diagnostics results is shown. For this is offered to use the developed logical conditions analysis method. The algorithm of group tests realization results decoding is created. The practical realization of developed method and algorithm with using Visual Basic...
In this paper, we propose a new variable decision strategy for solving SAT problems based on literal weights. The new algorithm makes use of the information from the structure of SAT problems into literal weights. We first consider the short clause can be satisfied, and select the literal of the largest literal weights is assigned. A new operator of literal Weights is designed to prevent conflicting...
The problem of software fault-tolerance is described. The fault-tolerance problem is considered as hardware faults and software errors. The software errors classification is proposed. Authors describe the computational process as treelike directed graph. Errors are bringing in the realisation of the algorithm at the stage of programming. It is cause forming “real” algorithm instead of its “theoretical”...
Rough Set Theory is used to make uncertainty description of the real world, and attribute reduction is one of the core theories of Rough Set Theory. This article elaborates on the rough set theory, studies attribute reduction algorithm combined with the genetic algorithm, and finally demonstrate the feasibility and effectiveness by using the ROSETTA software.
In view of the shortcomings of traditional multi-objective optimal methods, this paper introduces iSIGHT which is a kind of optimal design software. Based on optimal design framework Isight, the multi-objective optimal design method and step using the Neighborhood Cultivation Genetic Algorithm (NCGA) are investigated. Taking a multi-objective optimal design of spring as the example, the Pareto optimal...
This essay deals with VV&A method of operation Command Decision Simulation (CDS) prototype. It provides a summary and conclusion on current prototype V&V methods frequently used in military simulation field, and based on development process of simulation prototype, presents detailed VV&A process of CDS prototype in system prototype.
Naming is a non-optional and cross-cutting design decision in professional and end-user programming activities. From assembly language to Yahoo Pipes, names are utilized for labeling and differentiation. Yet, we know little about how these names are selected or how naming impacts use and other aspects of design. My research goal is to develop a theory of application programming interface (API) naming...
Multi-sensor data fusion theory and methods have been widely applied to many fields. Multi-sensor data fusion and information redundancy technology are adopted to achieve target characters synthetically judgment.. The basic concept of multi-sensor data fusion is given. Identifying characteristics of high-speed moving targets and key technical problems of multi-sensor fusion are discussed. Recognition...
Rough Set is an important theory of AI. In this paper, Rough_Apriori Algorithm which is based on the classic Apriori Algorithm and Rough Set theory. The Basic concepts and Algorithm steps of Rough_Apriori were Defined. In accordance with a set of definitions, an aid system of campus student major selection was developed. By comparing with user-expected results, the ultimate experimental results demonstrates...
This paper studies a durable equipment-rental problem. Other than the classical ski-rental problem (Karp 1992), we assume that the decision-maker can sell the used equipment after paying a transaction cost when he no longer needs it. We find that the optimal opportunity of online algorithm with considering the profit selling used equipment is different from that of online algorithm without considering...
The aim of this paper is to present a method to identify the best item in a dataset. This is done through performing a comparative analysis between two different procedures of information gain and apriori algorithm. The former is a method used in data mining and the latter is used in decision making. A software is designed and developed for the implementation of both information gain and apriori algorithm...
IEEE P1900.4 is an emerging standard for optimized radio resource utilization where cognitive radio technologies are used for efficient spectrum utilization. In this paper, we design and implement a cognitive wireless network system based on open documents of IEEE P1900.4, and evaluate its performance using UDP streaming and HTTP download. Our experiments show interesting results that total network...
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