A decision tree is a good classifier with a transparent decision mechanism. Decision-tree building methods usually have problems in splitting the learning samples into more subsets, because of the nature of the tree. ...
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A decision tree is a good classifier with a transparent decision mechanism. Decision-tree building methods usually have problems in splitting the learning samples into more subsets, because of the nature of the tree. If the classification into such subsets is not possible, it is better to put the classification decision on to some other classifier. This leads to the introduction of a null classification, which simply means that no classification is possible in this step. This approach is sensible with evolutionary methods, as they can handle a number of trees simultaneously. In the process of construction, we have to address the problem of whether a classification is sensible. The performance of the proposed model has been tested on several data sets and the results presented on one such data set show its potential.
In this paper, an affinity-based approach that provides good similarity measures for Web document clustering to discover user access behavior on the World Wide Web (WWW) is proposed. The proposed approach generates th...
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In this paper, an affinity-based approach that provides good similarity measures for Web document clustering to discover user access behavior on the World Wide Web (WWW) is proposed. The proposed approach generates the similarity measures for groups of Web documents by considering the user access patterns. Any clustering algorithm using better similarity measures should yield better clusters for discovering user access behavior. By utilizing the discovered user access behavior, for example, the companies can precisely target their potential customers and convince them to purchase their products or services in electronic commerce. An experiment on a real data set is conducted and the experimental result shows that the proposed approach yields a better performance than the cosine coefficient and the Euclidean distance method under the partitioning around medoid (PAM) method.
In this paper a novel unsupervised segmentation framework for texture image queries is presented. The proposed framework consists of an unsupervised segmentation method for texture images, and a multi-filter query str...
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In this paper a novel unsupervised segmentation framework for texture image queries is presented. The proposed framework consists of an unsupervised segmentation method for texture images, and a multi-filter query strategy. By applying the unsupervised segmentation method on each texture image, a set of texture feature parameters for that texture image can be extracted automatically. Based upon these parameters, an effective multi-filter query strategy which allows the users to issue texture-based image queries is developed The test results of the proposed framework on 318 texture images obtained from the MIT VisTex and Brodatz database are presented to show its effectiveness.
We implemented POPeye (Probe of Performance+eye), a system analysis simulator to evaluate DRAM performance in a personal computer environment. When running any real-life application programs such as Microsoft Office a...
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ISBN:
(纸本)0780366859
We implemented POPeye (Probe of Performance+eye), a system analysis simulator to evaluate DRAM performance in a personal computer environment. When running any real-life application programs such as Microsoft Office and Paint Shop Pro on Windows OS, POPeye simulates detailed transactions between a CPU and a memory system. Using this tool, we comparatively analyzed the performance of a DDR-SDRAM, a D-RDRAM, and a DDR-FCRAM.
Recently, the Intelligent Transportation systems (ITS) have been identified as the new paradigm to address the growing mobility problems, and to alleviate congestion and augment the quality of vehicular flow. This pap...
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Recently, the Intelligent Transportation systems (ITS) have been identified as the new paradigm to address the growing mobility problems, and to alleviate congestion and augment the quality of vehicular flow. This paper presents an intelligent and automatic framework for spatio-temporal vehicle tracking in video sequences in order to provide useful information to the traffic control center. The spatio-temporal relationships of the objects are captured automatically via a proposed unsupervised image/video segmentation method and multimedia input strings. A traffic video sequence is used to demonstrate the effectiveness of the proposed framework to identify and track the vehicle objects in the video sequence.
In order to improve control performance in both dynamic transient and steady-state periods, this paper presents an enhanced hybrid FUZZY P+ID controller that is constructed by using an incremental fuzzy logic controll...
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In order to improve control performance in both dynamic transient and steady-state periods, this paper presents an enhanced hybrid FUZZY P+ID controller that is constructed by using an incremental fuzzy logic controller with twenty-five rules in place of the proportional term in a conventional PID controller. The enhanced FUZZY P+ID controller has only two additional parameters to be tuned based on its PID counterpart. The analysis shows that the stability behavior of a control system remains unchanged after replacing the PID controller by the FUZZY P+ID controller. Numerical simulation results of a nonlinear system for both step and tracking control demonstrate the superior control performance of the FUZZY P+ID controller.
The power/ground fluctuation is known as a significant source of radiated emission. We discuss the separated functions of on-PCB and on-chip decoupling capacitors on the suppression of electromagnetic radiated emissio...
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The power/ground fluctuation is known as a significant source of radiated emission. We discuss the separated functions of on-PCB and on-chip decoupling capacitors on the suppression of electromagnetic radiated emission. Due to the different ranges of parasitic inductance and the different locations of the on-chip current drivers, on-PCB and on-chip decoupling capacitors exhibit separated frequency characteristics in terms of suppression efficiency of radiation. The roles of on-PCB and on-chip decoupling capacitors are estimated by circuit simulation and a simple antenna model, and are confirmed by experiments. It is found that the on-chip decoupling capacitors are mainly effective for the suppression of radiated emission over 100 MHz frequency. Increase of the on-chip decoupling capacitance and decrease of the parasitic inductance of the package produce an improved suppression ratio at high frequency range. Combined placement and sizing of the decoupling capacitors have achieved more than 10 dB suppression of the electromagnetic radiated emission over a wide spectrum range.
The CalmRISC32 FPU (Floating-Point Unit) is a RISC coprocessor for embedded system applications. It supports IEEE-754 standard single precision floating-point addition, floating-point subtraction, floating-point multi...
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ISBN:
(纸本)0769511503
The CalmRISC32 FPU (Floating-Point Unit) is a RISC coprocessor for embedded system applications. It supports IEEE-754 standard single precision floating-point addition, floating-point subtraction, floating-point multiplication, floating-point division, format conversion, comparison, rounding, load, store, etc. It also supports four rounding modes, and precise exception. It can execute and complete instructions out of order, if constraints such as data dependency, resource conflict, and exception prediction are resolved. Standard cell-base design techniques were used to reduce design time and expense. The first prototype operated at approximately 70 MHz with the worst-case delay in gate level simulation.
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