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CBR (Case-based reasoning) is an effective reasoning mechanism that solves a new problem by remembering a previous similar knowledge and by reusing information and knowledge of that features. The case-base is a set of small case-bases. Each small case-base can be viewed as the result of granular computing. To obtain an efficient CBR system, this paper proposed a hybrid CBR system by introducing feature...
A simple and economical system is developed to detect human breath in a real time fashion with a normal webcam. By using the optical flow method, a novel approach is proposed to detect the peak of inspiratory phase from a series of frames that are captured from a camera to define the time for trigging X-ray shooting. The issue of using images to detect breath is that the motions of respiratory features...
In recent years, people detection and face recognition technology developed quickly, including people detection part there is considerable room for development. People detection can be used in vehicle auxiliary systems or monitoring systems to identify people by the camera to capture the image. However, the people detection accuracy and running speed is also a very important part, so this study presents...
A novel vehicle control method by using the signals of gravity position from driver's seat and based on Fuzzy and electrohydraulic brake (EHB), was proposed and developed. The proof and performance of the vehicle stability control were conducted and evaluated through MATLAB Simulink simulations.
In this paper, to integrate android systems, intelligent computing and web service on an intelligent mobile web service computing systems for bioinformatics is proposed. That is, users can send parameters to control the intelligent computing system under Matlab/C#/Java and query from clientside to server-side in the proposed bioinformatics systems with their android phone. Besides, the proposed system...
Microarray data analysis approach has been became a widely used tool for disease detection. It uses tens of thousands of genes as input dimension that would be a huge computational problem for data analysis. In this paper, we proposed to apply affinity propagation (AP) clustering for feature genes selection of adult acute Lymphoblastic Leukemias (ALL) microarray data. That is, feature genes can be...
Recently, the interval-valued data analysis is popular research topic in symbolic data analysis (SDA). For some of applications, it is natural to use interval-valued data because of uncertainty existing in the measurements, variability for defining a term (the minimum and the maximum temperature during a day), extremely behavior description (maximum wind speed in a given country), etc. However, the...
Clustering algorithms have been widely used in many different applications such as pattern recognition, data mining. It is unsupervised learning algorithm. At the same, the data sets of similarity partition belong to the same group; otherwise data sets divide other groups in the clustering algorithms. The interval fuzzy c-means (IFCM) clustering method was proposed to deal with symbolic interval data...
In recently, there are many machine learning approaches have developed for intelligent control. One of these approaches is least squares-support vector machine regression (LS-SVMR). Besides, the robustness problem of the LS-SVMR among machine learning algorithms is importantly considered in recent years. Hence, for the robustness problem in LS-SVMR, a least trimmed squares support vector machine regression...
Recently, APPs (applications for intelligent mobile devices) about car recorder systems have been proposed for various mobile OS. Due to the numbers of APPs in the iOS is more than that of others OS, our car video recorder system is built on iOS. In addition, the objective-c programming language is employed to code APPs in the Xcode. Usually, the iOS mobile devices (e.g. iPhone) are equipped with...
In this paper, based on least trimmed squares-support vector regression (LTS-SVR), a robust radial basis function network (RRBFN) is proposed in the modeling problem to deal with training data sets that may contain outliers and noises. There are two stages in the proposed RRBFN approach. In stage I, outliers and large noises will be trimmed via the LTS-SVR procedure so that the influences of outliers...
This study is a numerical analysis with the peak power of sound channel under its numerical range of the region as the signal of voice communication can automatically start Bluetooth on iOS smart phone systems. Besides, the voice communication link using Bluetooth protocol. At the same time, the entire system is implemented in the intelligent mobile devices. In this study, the intelligent mobile devices...
In this study, build interactive location database intelligent video car recorder system. Video automotive logger system was established in the iOS intelligent mobile devices (iPhone). The video car recorder system can be record the current driving conditions, display the current location on the map, and upload it to the location database. Location database is constructed by a network server, MySQL,...
Rough sets approach of attributes reduction can be used as a purely structural method for reducing dimensionality using information contained within the dataset and preserving the meaning of the features. In this paper, the weighted interval-value fuzzy-rough attribute reduction algorithm is proposed for interval-value data. It will introduce IT2 into hybrid fuzzy-rough QuickReduct algorithm to deal...
Recently, some of applications (APP) about car recorder systems have been proposed for iPhone. The car recorder system is built on iOS smart mobile devices, and the objective-c programming language is employed to code applications in the Xcode. The iOS mobile devices are usually equipped with GPS and camera. Thus, it only needs to design software on the integration and links so as to replace the traditional...
The traditional robust learning algorithms are based on the estimated errors, which is not correct in the early stage of the training process. Therefore, the use of those approaches still cannot provide very decent learning performance in face of outliers unless a set of good initial weights is used. In this paper, a novel approach, termed as NRBP (Near set based Robust Back Propagation learning algorithm)...
Video Car Recorder embedded into intelligent mobile devices is considered in this study. That is, the Lead Management System (LMS) is developed. The features of the LMS include recording instant car traveling screen, displaying the current location map, and capturing the current location data; namely, comprises latitude, longitude, speed, altitude and directional acceleration. Besides, the prominent...
Machine learning is a theory that enhances a computer system's knowledge. Besides, support vector machine (SVM) is a machine learning theory with neural networks. That is, the SVM has two major functions; namely, classification and regression analysis for application. To enhance the intelligence of system's tool, mobile wavelet SVM is applied to the proposed tool system on personal digital assistant...
In the literature, some of methods are proposed for the symbolic interval-values data. They have the Centre method (CM), the MinMax method and the Centre and Range (CR) method. For the above methods, they needs solve the inverse of matrix. However, the dimension of this matrix is increased as increasing the variables. Moreover, the condition number of this matrix is large, it may cause a large error...
Support vector regression (SVR) employs the support vector machine (SVM) to tackle problems of function approximation and regression estimation. SVR has been shown to have good robust properties against noise. Besides, in SVR, outliers may also possibly be taken as support vectors. Such an inclusion of outliers in support vectors may lead to seriously overfitting phenomena. The rough set theory is...
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