Wan-Kyoo Choi

A Traffic Light Controlling FLC Considering the Traffic Congestion

The existing many fuzzy traffic controllers could not be applied to the traffic congestion situation because they have been developed and applied for a non-congestion traffic flow. In this paper, therefore, we propose a traffic light controlling FLC that is able to cope with traffic congestion appropriately. In order to consider such situation as missing the green signal because of spillback of upper crossroad, it uses as an input variable a degree of traffic congestion of upper roads, which vehicles on a crossroad are to proceed to. It uses the first-order Sugeno fuzzy model for modeling nonlinear traffic flow. In experiment, we compared and analyzed the fixed traffic signal controller and the proposed FLC. As a result of experiment, the proposed FLC showed more enhanced performance than the fixed traffic signal controller.

Automatic Cell Classification in Human's Peripheral Blood Images Based on Morphological Image Processing

A new scheme for automatic analysis and classification of cells in peripheral blood images is presented in this paper. The proposed method can analyze and classify mature red-blood and white-blood cells efficiently. After we identify red-blood and white-blood cells in a blood image captured by a CCD camera attached to a microscope, we extract their features and classify them by a neural network model based on back-propagation learning. While we have fifteen different clusters including the normal one for red-blood cells, there are five different categories for white-blood cells. We also propose a new segmentation algorithm to extract the nucleus and cytoplasm for white-blood cell classification. In addition, we apply the principal component analysis to reduce the dimension of feature vectors efficiently without affecting classification performance. Experimental results demonstrate that the proposed method outperforms the learning vector quantization-3 and the k-nearest neighbor algorithms for blood cell classification.

Surface Morphology Analysis of Nanostructured (Bax, Sr1-x)TiO3 Thin Films Using Fractal Method

Based on the fractal theory, this paper uses scanning electron microscopy images to investigate the roughness characteristics of nanostructured (Ba Sr)TiO3 thin films by sol-gel methods. The percentage grain area, surface fractal dimensions and 3D image are evaluated using image analysis methods. The thickness of the (Ba Sr)TiO3 thin films was 260–280 nm. The surface fractal dimensions were increased with strontium doping, and grain area, were decreased with it. The fractal dimension and the grain areas of the (Ba0.7 Sr0.3)TiO3 thin films were 1.81 and 81%. Based on the image analysis, the roughness height of 3D images as 256 levels was about 3 nm and its distribution was about 35–40% for the (Ba0.8 Sr0.2)TiO3 and (Ba0.7 Sr0.3)TiO3 thin films. The roughness height of the BST thin films was distributed from 35% to 40% ranging from 3 nm to 4 nm. By increasing the strontium doping, the roughness height was decreased.

A Study on the quality estimate function of the program module

In order to offer a service of highly qualified information, software of good quality should be designed and developed. We need the united estimation method because the existing approaches for the quality measurements measure the attributes at the different viewpoint individually. Therefor, this paper Propose the model that handles many methods of measurements. Our model selects the ratio scales and calculates the relative significance of them by using the rough logic. As a next step, the proposed method integrates the significance of scales and the measured value of them based upon the fuzzy integral. Finally, the correlations are analyzed between the existing scales with our measurements and our model is validated through statistical technique.

The classification of the software quality by employing the tolerence class

When we decide the software quality on the basis of the software measurement, the transitive property which is a requirement for an equivalence relation is not always satisfied. Therefore, we propose a scheme for classifing the software quality that employs a tolerance relation instead of an equivalence relation. Given the experimental data set, the proposed scheme generates the tolerant classes for elements in the experiment data set, and generates the tolerant ranges for classfing the software quality by clustering the means of the tolerance classes. Through the experiment, we showed that the proposed scheme could product very useful and valid results. That is, it has no problems that we use as the criteria for classifing the software quality the tolerant ranges generated by the proposed scheme.

The design of a dynamic efficient load balancing algorithm on distributed networks

In order to maintain load balancing in a distributed network, each node should obtain workload information from all the nodes in the network. To accomplish this, this processing requires O(v2) communication complexity, where v is the number of nodes. First, we present a new synchronous dynamic distributed load balancing algorithm on a (v,k+1,1)-configured network applying a symmetric balanced incomplete block design, where v=k2+k+1. Our algorithm designs a special adjacency matrix and then transforms it to (v,k+1,1)-configured network for an efficient communication. It requires only

The Classification of the Software Quality by the Rough Tolerance Class

O(v \sqrt v)

Slice-Based Information Flow Graph

communication complexity and each node receives workload information from all the nodes without redundancy since each link has the same amount of traffic for transferring workload information. Later, this algorithm is reconstructed on distributed networks, where v is an arbitrary number of nodes and is analyzed in terms of efficiency of load balancing.

The Class Cohesion Using the Reference Graph G1 and G2

When we decide the software quality on the basis of the software measurement, the transitive property which is a requirement for an equivalence relation is not always satisfied. Therefore, we propose a scheme for classifying the software quality that employs a tolerance relation instead of an equivalence relation. Given the experimental data set, the proposed scheme generates the tolerant classes for elements in the experiment data set, and generates the tolerant ranges for classifying the software quality by clustering the means of the tolerance classes. Through the experiment, we showed that the proposed scheme could product very useful and valid results. That is, it has no problems that we use as the criteria for classifying the software quality the tolerant ranges generated by the proposed scheme.

Fractal Analysis of Surface Morphology of Nano-structured BST Thin Films

We, in this paper, try to represent information flow of program on the basis of slices. It is referred to slice-based information flow graph(SIFG). SIFG captures the information flow among data tokens. We can find the elementary characteristics of the information flow of program by using SIFG and increase the understanding about program.