Recently, Machine Learning techniques have become very popular because of its effectiveness. This study, applies Kernel Logistic Regression (KLR) to the credit risk classification in an attempt to suggest a model with...
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Online businesses in Malaysia suffer from the lack of non-repudiation in the ordering, delivery and payment process. Most businesses cannot sustain their growth because of this limitation. In this paper we propose a n...
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This paper constructs a class of fourband piecewise polynomials multiwavelets (abbreviated as QVLets), whose scaling functions and wavelet functions have explicit expressions, and its wavelets consist of continuous an...
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ISBN:
(纸本)9781450304603
This paper constructs a class of fourband piecewise polynomials multiwavelets (abbreviated as QVLets), whose scaling functions and wavelet functions have explicit expressions, and its wavelets consist of continuous and discontinuous functions. Unlike Fourier trigonometric, Walsh system and V system, there is no Gibbs phenomenon at breakpoints or endpoints and "singular" phenomenon, and its approximation error is very small also, if we apply partial sum of QVLets series to represent planar curves or surfaces. Afterwards, we use QVLets coefficients to analyze image shape, and obtain a class of shape descriptors, i.e., QV descriptors, which are a class of invariants based on translation, scale and rotation. Finally, we confirm with experiments that approximation error of QVLets is less than that of Fourier, Walsh and V system;the experimental result also indicates that the difference between images can be illustrated by QV distance, and QV descriptors are a class of feature invariants. Copyright 2010 ACM.
Online businesses in Malaysia suffer from the lack of non-repudiation in the ordering, delivery and payment process. Most businesses cannot sustain their growth because of this limitation. In this paper we propose a n...
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Online businesses in Malaysia suffer from the lack of non-repudiation in the ordering, delivery and payment process. Most businesses cannot sustain their growth because of this limitation. In this paper we propose a new model for the implementation of online business. The solutions can also be adapted to any country for the most part except for the delivery process that requires the use of a smartcard-based national identity card. The non-repudiation evidences that are generated from the system can be used by both the consumer and the merchant to resolve possible future disputes. The evidence is also admissible in the court of law since they are generated from the Public Key Infrastructure (PKI) that is recognized by the authority as legally binding.
In this paper, we consider numerical approximations of the quasi‐static contact problem with dry friction, using finite elements for the displacements and finite difference for the temporal derivative of the displace...
In this paper, we consider numerical approximations of the quasi‐static contact problem with dry friction, using finite elements for the displacements and finite difference for the temporal derivative of the displacements. The quasistatic problem will be resolved step by step, such that at each step we shall calculated small strains and small displacements and we will add to the previously calculated result, for small changes of the applied forces. Obviously, both the contact area and the contact state are changing (open contact, fixed contact and sliding contact). Numerical results illustrate the presentation.
The visual representation of information is an interesting way of communication both in industrial and science. The viewing of interactive data gives the users a fun and immediate access to information they are lookin...
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The visual representation of information is an interesting way of communication both in industrial and science. The viewing of interactive data gives the users a fun and immediate access to information they are looking for. In this context and with existing technologies that make Internet applications rich in content, we can ask our selves for the relevance of a software architecture dedicated to this type of media. We tried to design an architecture responding to our expectations, and its feasibility study by the realization of an application in the context of geographic mapping.
Accurate forecasting of the rice yields is very important for the organization to make a better planning and decision making. In this study, a hybrid methodology that combines the individual forecasts based on artific...
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The automatic programming system has been considered by means of which it becomes easier to carry out traditional programming stages. There is discussed both recursive forms: parallel, interrecursion and recursion of ...
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The automatic programming system has been considered by means of which it becomes easier to carry out traditional programming stages. There is discussed both recursive forms: parallel, interrecursion and recursion of high level that exist for functional programming languages and induction methods for the purpose of their verification. The way how to present imperative languages easy and double cycles by means of recursion forms is shown, the possibility of verification has been studied for each recursion form.
A development of a Clinical Group Decision Support System (CGDSS) has been carried out for diagnosing both neurosis and personality disorders. The knowledge, stored in the knowledge base, were generated from the aggre...
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ISBN:
(纸本)1424413559
A development of a Clinical Group Decision Support System (CGDSS) has been carried out for diagnosing both neurosis and personality disorders. The knowledge, stored in the knowledge base, were generated from the aggregated preferences given by decision makers. Two types of preferences used here, i.e. the preferences of a mental evidence by a mental condition;and the preferences of a mental disorder by mental condition. Ordered Weighted Averaging operator was adopted to aggregate those preferences. This aggregation process was carried out after transforming the selected subset to fuzzy preference relation format. Then the Bayesian theorem was adopted to compute the probability of evidence given a particular disorder. After developing the knowledge base, the next step is to develop an inference engine. The method used for developing an inference engine is Multi-Attribute Decision Making concept, this is because of the system was directed to choose the best disorder when a particular condition was given. Many methods have been developed to solve MADM problem, however only the SAW, WP, and TOPSIS were appropriate to solve problem here. In this knowledge base, the relation between each disorder and evidence were represented X matrix (m x n) that consist of probability value. Where the Xij was probability of jth mental evidence given ith mental disorder;i=1,2,...,m;and j=1,2,...,n. Sensitivity analysis process was to compute the sensitivity degree of each attribute to the ranking outcome in each method. The sensitivity analysis was aimed to determine the degree of sensitivity of each attribute to the ranking outcome of each method. This degree implies that there were a relevant between an attribute and a ranking outcome. This relevant attribute can be emitted by influence degree of attribute Cj to ranking outcome fj. Then, relation between sensitivity degree and influence degree for each attribute, can be found by computing the Pearson's correlation coefficient. The bigge
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