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Software fault prediction can be more useful if, besides predicting software modules being faulty or non-faulty, number of faults can also be predicted accurately. In this paper, we present an approach to predict the number of faults in the software system. We develop fault prediction model using neural network and genetic programming and compare the effectiveness of these techniques over ten project...
Artificial bee colony (ABC) algorithm is a relatively new optimization technique that simulates the intelligent foraging behavior of honey bee swarms. It has been applied to several optimization domains to show its efficient evolution ability. In this paper, ABC algorithm is applied for the first time to evolve a directed graph chromosome structure, which derived from a recent graph-based evolutionary...
Acoording to circuit theory and numerical integration principle, a circuit model based on the trapezoidal algorithm is proposed to facilitate the computer's transient analysis of circuit containing nonlinear time-varying mutual inductance,which will make the transient analysis of nonlinear time-varying mutual inductance network as simple as the DC analysis of a LTI resistive network.
Soft sensors have been widely used in biochemical process to estimate process variables that are difficult to measure online. In this paper, glutamate concentration is an important parameter of product quality for fermentation process, soft sensor was used to estimate glutamate concentration. In order to realizing real-time measurement of glutamate concentration, firstly analysing fermentation working...
Artificial neural network was a information processing paradigm that took a model from the works of biological neural network in processing information hence it would have an ability which seems like human brain. Artificial neural network was able to solve some problems which contain uncertainty inside, which usually only human who could solve it. It was pattern recognition for example. The objective...
Analysis and detection of human voice at workplace such as telecommunications, military scenarios, medical scenarios, and law enforcement is important in assessing the ability of the worker and assigning tasks accordingly. This paper represents the results from a preliminary study to recognize the speech from human voice using mel-frequency cepstrum coefficients (MFCC) features. The 16 mel-scale warped...
This research develops an automatic questionnaire survey model. In the proposed model, the questions in the questionnaires can be converted into structured components and the component characteristics can be obtained from the collective online message. By using the Artificial Neural Network method, the relationship model between the collective message and questionnaire questions can be derived and...
Gaussian interconnection networks have recently been introduced as a useful alternative to the classical toroidal network, and in this paper this concept is generalized to higher dimensions. We also explore many important properties of this new topology, including diameter and distance distribution. In addition, an optimal shortest path routing algorithm and a one-to-all broadcast algorithm for higher...
This paper provides interesting findings for modeling of a challenging and critical pedagogical issue namely online learning assessment of Multiple Choice Questions (MCQs) analysis and evaluation. More precisely, in fulfillment of that issue's objective, this work suggests using a realistic Artificial Neural Network (ANN) model. That, explicitly, characterized by two learning paradigms: supervised...
Wireless sensor network (WSN) are mobile adhoc networks in which sensors have limited resources and communication capabilities. Creating pair-wise secure links between resource constrained (battery, bandwidth, large geographical area) sensor nodes is a major challenge. In this paper, Blom key management scheme is exhaustively studied on different parameter and finally a comparatively analysis is done.
Noun phrase (NP) chunking deals with extracting the noun phrases from a sentence. While NP chunking is much simpler than parsing, it is still a challenging task to build an accurate and efficient NP chunker. Noun phrase chunking is an important and useful task in many natural language processing applications. It is studied well for English, however not much work has been done for Bengali. This paper...
To preserve the environment, a number of industrial countries is established legislative laws that encourage the development of the diversity of activities and the definitions given in this type of logistics, its design and its management are very complicated. We have demonstrated the efficacy of neural network tried using the programming language level MATLAB; generate a database containing all the...
Identification of minerals in petrographic thin sections using intelligent methods is very complex and challenging task which, mineralogists and computer scientists are faced with it. Textural features have very important role to identify minerals, and undoubtedly without using these features, recognition minerals in thin sections yield to many miss classification results. Thin sections have been...
In order to meet customer satisfaction in the future, the postal system of Mongolia has been increasingly facing new challenges to maintain its competitiveness. How exactly, should a given infrastructure/network and transportation strategy be changed to meet the upcoming challenges? Should the postal network throughout the country revised to accommodate introduction of new ICT- based technology? The...
This paper gives a brief presentation of history of Soft Computing considered as a mix of three scientific disciplines that arose in the mid of the 20th century: Fuzzy Sets and Systems, Neural Networks, and Evolutionary Computation. The paper shows the genesis and the historical development of the three disciplines and also their meeting in a coalition in the 1990s.
The theory of three-way decisions provides an additional option to the conventional two-way decisions that use only two options, namely, accepting or rejecting. The third option is called a non-commitment decision that usually means a decision in deferment or requiring further observations. Recent studies provide an evaluation-based framework of three-way decisions, in which one can make a decision...
Disease forecast and early warning have been always important but difficult tasks. Because of the drawbacks of traditional records, the electronic health records, which bring in the ICD-10, are used in our system. Input information are firstly de-duplicated to remove redundancy. After that, the system are used for disease early warning and forecast. The results show that the proposed system has great...
The paper presents Artificial Neural Network techniques that are used to determine the probability for the detection of breast cancer using feed forward neural networks trained by a back propagation algorithm. During training the back propagation were independently applied to optimize, to evolve inter connecting weights of the ANN's. This paper explored an ANN using 25 features like (12 patient history,...
According to government and central bank rules and regulations of Sri Lanka, the bank notes must be changed once a pre-determined period of time. This process had been initiated recently on the Sri Lankan bank note system and had been changed into an array of new bank notes. The bank notes have been designed to the international standard and unlike the old system of notes, apart from the visual differences...
Creativity is a delicate subject when it comes to the understanding of how/when and why it occurs. In the last two decades considerable contributions incorporating creative mechanisms in computer applications were made. Recently, the discussion is turning towards the problems that are under the process of evaluating computer created visual objects, mainly in the area related to the automating aesthetic...
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