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To find effective estimations of tail dependence, we present the estimators of upper tail dependence coefficient by using survival copula. We research to two problems by using the samples from t-copula. Firstly, do the estimators estimate effectively the upper tail dependence coefficients of copula? Which is the best among the estimators? Secondly, if sample isn't from true distribution, do the estimators...
Neural networks are often selected as tool for software effort prediction because of their capability to approximate any continuous function with arbitrary accuracy. A major drawback of neural networks is the complex mapping between inputs and output, which is not easily understood by a user. This paper describes a rule extraction technique that derives a set of comprehensible IF-THEN rules from a...
The paper explores the methods on decision of optimal strategy for online maintenance for Internetware through static Game Theory. An Online Maintenance Game Model (OMGM) is put forward, which simulating the trend of consuming resource and involving the dependent relationship and characteristics of the procedure maintenance among fault Internetwares. In the case of single fault Internetware and double...
Agility means the capability of operating profitably in a competitive environment of continuous and unpredictable changes with software process regarded as one of its main method. The research focuses on the assessment of software process to support agile. The assessment framework is constructed upon a series of competitive bases and agility attributes identified in the literature. The framework is...
Voting algorithms are used in a wide area of control systems from real-time and safety-critical control systems to pattern recognition, image processing and human organization systems in order to arbitrating among redundant results of processing in redundant hardware modules or software versions. From a point of view, voting algorithms can be categorized to agreement-based voters like plurality and...
Fault localization is one of the most expensive activities of program debugging, which is why the recent years have witnessed the development of many different fault localization techniques. This paper proposes a grouping-based strategy that can be applied to various techniques in order to boost their fault localization effectiveness. The applicability of the strategy is assessed over - Tarantula...
Software development methods aim at solving the software crisis. Many presented methods gain reputations under special application environments. There are so many kinds of methods that developers are troubled when choosing the most suitable one. This article presents a pervasive software development method aiming at helping developers deal with the trouble. The pervasive method advocates logicality,...
This paper deals with the analysis of stacked patch antenna using neural network techniques. A trained neural network was developed to locate the operational frequency bands of stacked microstrip antenna with two radiating patches, operating in the X/Ku band for satellite communication application. The network takes the different design parameters of the antenna as inputs and delivers the upper and...
This paper presents the design and development of a frame based approach for speech to sign language machine translation system in the domain of railways and banking. This work aims to utilize the capability of Artificial intelligence for the improvement of physically challenged, deaf-mute people. Our work concentrates on the sign language used by the deaf community of Indian subcontinent which is...
This paper presents computational intelligence techniques for software cost estimation. We proposed a new recurrent architecture for genetic programming (GP) in the process. Three linear ensembles based on (i) arithmetic mean (ii) geometric mean and (iii) harmonic mean are implemented. We also performed GP based feature selection. The efficacy of these techniques viz multiple linear regression, polynomial...
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