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In this paper, software system, design theories and human immune system (HIS) features are used to introduce a novel algorithm for the problem of preventing intrusions and healing the damage which they cause. The HIS features are analyzed and modelled to monitor network systems as to whether the inline activities are behaving abnormally or being attacked. The abnormal activities are prevented and...
The evolution of computer is started from human dependent to self-management. With the development of technology, people want to manage the complex systems in an efficient and reliable manner. Database Management Systems (DBMSs) started from the single user with limited operations; and with the passage of time more functionality is added to meet the need of the users. Maximum number of operations,...
Qualitative analysis has increasingly become a main analysis tool for handling complex dynamical systems. In qualitative analysis, Qualitative Evaluation Problem is one of important problems. At present, qualitative analysis approaches cannot solve effectively this problem because they use unsuitable qualitative value spaces and related algebras for representing and operating qualitative values. In...
This paper presents a progress on building a system to perform motion retarget of 2D hand motion from video image sequence to a 3D hand model. In our method, the orthographic projection method is used to determine the Z coordination. Additionally, information from the previous frames, interdependence of a hand model and approximate rest pose of a hand are used to deal with occlusion.
AI has always been on the pioneering end of computer cience. This talk outline presents an overview of AI, by summarizing its historical development, family , as well as some representative projects additional materials are linked in the text.
In this paper, five different methods in music recognition are discussed, a new character MPCP is proposed in Chord Recognition. The new character overcome the limitation of the traditional PCP and MFCC, apply for recognition system by combining both characteristics. For features we use MPCP vectors, it is trained by HMM, estimated parameters by Baum-Welch algorithm, finally we acquired accurate chords...
The paper describes interactive learning system (ILS) for intuition judgement and data analysis. The selection of Interactive Learning Models is performed under both intuition and data analysis learning. and poses a skeleton of intuitive reasoning. Through the relationship construction of practical intuitive model and on-the-spot model, it sets up a couple of interactive learning models and intuitive...
This paper proposes an automatic method to recognize the hand in complex background. With this method, contour of hand in pictures can be figured out and the fingertips can be marked out. Skin color detection is used to find out the hand region out of a complex background, then a serial of morphological operations is performed to get the contour of the hand, and the computation of Fingertip-Angle...
According to human needs your search engine should increase the quality of the results with new functions. Many of new functions use from few or volatile and distributed data. We think that current search engines work very well and we shouldn't import huge and volatile data into them (for enhancing them). Peer to peer systems showed that they can work with huge and volatile data very well. When your...
Goodness of pronunciation (GOP) is a confidence measure widely used in automatic pronunciation evaluation (APE) and it does not use the phone loop recognition lattice to calculate the confidence score. This paper presents a lattice-based GOP algorithm utilizing the information from the lattice, in order to obtain a more accurate confidence score. Experimental results reveal that the proposed LGOP...
To make the intelligent virtual agent become more natural and believable, giving her emotion ability is very important. According to Basic Emotion Theory and Cognitive Evaluation Theory in Psychology, it proposes an emotion model based on Fuzzy Rules. Firstly, emotion factor is generated according to the emotion elicited rules based on Fuzzy IF-THEN rules. Then a nonlinear function restricted by personality,...
The semantic analysis and context awareness in data mining can intensively increase results precision. In this research different semantic relatedness functions called ??Measure of Semantic Relatedness (MSR)?? are discussed and compared. We found that the quality and accuracy of MSRs are different when applied in various contexts. Here we compared several MSR algorithms using different corpuses and...
Classifier-based multivariate pattern recognition techniques have in recent years enabled highly sensitive mapping of brain regions where mind states can be decoded from functional magnetic resonance imaging (fMRI) data. The ??searchlight?? mapping approach, where the brain volume is exhaustively scanned with a fixed-size search volume, is highly appealing in terms of sensitivity but also exceedingly...
Goodness of pronunciation (GOP) is a confidence measure widely used in automatic pronunciation evaluation (APE) and it does not use the phone loop recognition lattice to calculate the confidence score. This paper presents a lattice-based GOP algorithm utilizing the information from the lattice, in order to obtain a more accurate confidence score. Experimental results reveal that the proposed LGOP...
Based on the idea of making Genetic Algorithms more fully model the behaviour of real world populations, a new approach, called the CardiffGA, has been developed. In this method, each individual is given a life-span and an age, the population size is allowed to vary; and rather than generations, the concept of time steps is introduced with each individual living for a number of time steps. An additional...
This paper presents an improved face recognition algorithm based on SVD. The algorithm uses a sampling window to sample overlapping from top to bottom. According to all the matrices obtained by overlapping sampling, we count the singular values for all the matrices, reduce dimension and compression, and get k maximal singular values of every matrix that are formed a group of vectors. The group of...
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