• Journal of the Korean Geotechnical Society
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• v.18 no.4
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• pp.309-317
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• 2002

The mechanical characteristics of Light-Weighted Foam Soil(LWFS) are investigated in this research. LWFS is composed of the dredged soil from offshore, cement and foam to reduce the unit-weight and increase compressive strength. For this purpose, the unconfined compression tests and triaxial compression tests are carried out on the prepared specimens of LWFS with various conditions such as initial water contents, cement contents, curing conditions and confining stresses. The test results of LWFS indicated that the stress-strain relationship and the compressive strength are strongly influenced by the cement contents rather than the intial water contents of the dredged soils. On the other hand, the stress-strain relationship from triaxial compression test has shown strain-softening behavior regardless of curing conditions. The stress-strain behavior for the various confining stress exhibited remarkable change at the boundary where the confining stress approached to the unconfined compression strength of LWFS. In order to obtain the ground improvement of the compressive strength above 200kPa, the required LWFS mixing ratio is found to be 100%~160% of the initial water contents of dredged soil and 6.6% of cement contents.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.10
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• pp.73-81
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• 2015

The paper proposes a prototype selection method and evaluates the generalization performance of standard algorithms and prototype based classification learning. The proposed prototype classifier defines multidimensional spheres with variable radii within class areas and generates a small set of training data. The nearest-neighbor classifier uses the new training set for predicting the class of test data. By decomposing bias and variance of the mean expected error value, we compare the generalization errors of k-nearest neighbor, Bayesian classifier, prototype selection using fixed radius and the proposed prototype selection method. In experiments, the bias-variance changing trends of the proposed prototype classifier are similar to those of nearest neighbor classifiers with all training data and the prototype selection rates are under 27.0% on average.

• The Journal of Korean Association of Computer Education
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• v.9 no.6
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• pp.41-51
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• 2006

Educators have recognized the usefulness of the e-BBS(electronic-Bulletin Board System) as an asynchronous communication medium for collaborative learning. However, theoretical outcomes to understand the structural analysis of thc e-BBS are not adequate enough. As a consequence, we are left with inadequate supportive tools to understand complex communication phenomena and to assist teachers to guide students to educational purposes. This can cause teachers to have a laissez-faire approach using BBS as a communication medium for education due to the lack of understanding the structural and overall situation. To address this issue, this paper presents a theoretical foundation to help understand the structure of discussion activities via the e-BBS and then presents a computational model, based on the structural analysis, for the behavioral analysis of participants. The formal representation of bi-directional discussion activities is realized by devising two graphs - the reply graph and the connection graph. Various measurements and statistics for the analysis are presented in the paper. To clarify the analysis, we classify the results produced through the analysis of discussion activities and participants' behaviors.

• Archives of design research
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• v.13 no.2
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• pp.103-109
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• 2000

Rapid prototyping technology has been widely applied to the design process in the industry. This technology made it easy to generate a prototype which acts like a real product in logic. However, this technology has not been validated sufficiently as a usability test method. The purpose of this study was to test the hypothesis : There was no significant difference between a real product and its prototype. An experiment was designed to test it statistically. a microwave oven was selected and its prototype was generated using a rapid prototyping tool. Six subjects used the microwave oven and another six subjects used the prototype to perform five scenario tasks. As a result, there was significant difference between the real product and prototype in success rate, task completion time, and number of buttons pressed. The prototype was more difficult to operate than the real product. Therefore we should be careful when we apply rapid prototyping. technology. In the discussions, the causes of the difference were identified and some guidelines were suggested for who wants to apply rapid prototyping tool to the usability test.

• Korean Journal of Poultry Science
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• v.34 no.2
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• pp.99-104
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• 2007

Studies were conducted to evaluate spent bleaching clay as a feed resource. Raw spent bleaching clay from the soybean refining process in a rotary reactor is rich in crude fat (26.0%) and crude ash (68.3%) but low in moisture (5.2%) and crude protein (0.5%). The peroxide value of spent bleaching clay was significantly higher than soybean oil (P<0.05). Also the acid value of spent bleaching clay and soybean oil were 9.72 and 0.001, respectively, it was significantly different(P<0.01). It is possible that the acidification of spent bleaching clay was prevented by artificial method. On the feeding experiment, 2.0 to 4.0% of dietary spent bleaching clay were improve body weight gain, feed intake and feed/ gain. Results indicate that spent bleaching clay may be used at 2.0 to 4.0% for broiler diets without deleterious effects on performance.

• Journal of the Korean GEO-environmental Society
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• v.14 no.2
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• pp.31-41
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• 2013

The dredged soils of western sea of Korea have been used as the fill materials because it possess the characteristics that constitute silt, silty sand and sand mainly. However, a study on dredged soils as the fill materials is insufficient. Hence, in this present study, the application the dredged soils of western sea of Korea as the fill materials was confirmed. Primary, the composition characteristics of the ground was analyzed to confirm the application on dredged soils as the fill materials by the piezo-cone penetration test. In laboratory test, it was performed the self-weight consolidation test for mechanical characteristics of the dredged soils. The direct shear test using self-weight consolidation test sample for shear strength characteristics was performed after self-weight consolidation test. Additionally, the mechanical characteristics of the dredged soils on elapsed time using self-weight consolidation test sample, which is drained naturally, was evaluated. The dredged soils of western sea of Korea show that unit weight and shear strength is increased as natural drain time elapses.

• Journal of the Korean GEO-environmental Society
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• v.13 no.3
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• pp.71-76
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• 2012

Since sediment in a stable state is disturbed during the process from sediment in a natural state to dredged soil, the turbidity of water is not good. When the dredged soil settles again, the volume change in the sediment occurs. Coagulant and flocculant are added for turbidity mitigation of the water and faster settling process of suspended solid, and the amount of the substances affects the characteristics of the dredged soil. This study is to investigate the characteristics of the dredged soil depending on the amount of three chemical products added to the wet dredged soil and the dry dredged soil through measuring the suspended solids (SS), volume change and sedimentation velocity. The experimental measurements show that the SS decreased, the volume change rate increased, and the sedimentation velocity increased, as the chemical amount increased. In addition, it was found that the dry dredged soil reacted even with little quantity of the chemicals because derelict and microorganism are removed due to the drying process at $100{\pm}5^{\circ}C$.

• Journal of the Korean Geotechnical Society
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• v.28 no.9
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• pp.47-55
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• 2012

This paper investigates the shear properties of crumb rubber-bottom ash mixture reinforced by waste fishing net (WFN). Mixtures used in this experiment consist of crumb rubber and bottom ash (2mm~10mm) with the same weight ratio. In this study several series of direct shear tests were carried out on the five different specimens : unreinforced mixture, reinforced mixtures with 1 or 2 single-layered WFN, reinforced mixtures with 1 or 2 double-layered WFN. The experimental results indicated that the shear properties of reinforced crumb rubber-bottom ash mixture were strongly influenced by reinforcing layer of WFN. It was found that the shear strength and internal friction angle of the mixtures increased with an increase in reinforcing layer of WFN due to interlocking effect and friction between mixture and WFN.

• The KIPS Transactions:PartA
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• v.14A no.4
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• pp.227-234
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• 2007

In the virtual prototyping environment, we can simulate details of a target model using many components and libraries provided in advance on a computer. The real prototyping environment provides the test simulation environment as a real product, but we can't do a detailed simulation of a real product in the virtual prototyping environment, and we can't do various simulations in the real prototyping environment. So, we made a integrated prototyping environment for linkage of the two types of prototyping environments. Also, in this paper, we developed the integrated prototyping environment based on objects. By this kind of embedded system development environment, we can have the advantages as reuse, flexibility, scalability, and more convenient of product making.

• Journal of the Institute of Convergence Signal Processing
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• v.10 no.4
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• pp.239-244
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• 2009

Image contrast enhancement has an important role in image processing applications. Conventional contrast enhancement techniques, histogram stretching and histogram equalization, and many methods based on histogram equalization often fail to produce satisfactory results for broad variety of low-contrast images. So, this paper proposes a new image contrast enhancement method based on the clustering method. The number of cluster of histogram is found by analysing the histogram of original image. The histogram components is classified using K-means algorithm. And then these histogram components are performed histogram stretching and histogram equalization selectively by comparing cluster range with pixel rate of cluster. From the expremental results, the proposed method was more effective than conventional contrast enhancement techniques.