• Progress in Superconductivity and Cryogenics
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• v.1 no.1
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• pp.33-37
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• 1999

The fast current and field ramp-up experiment was done with the superconducting magnet that is made of three non-insulated strand CICC (Cable-In- Conduit Conductor). The shunt the unbalanced current magnet enabled the unbalanced current measurement which is believed to be associated with the loop current. To explain the generation of the loop current during the current ramp up. the steady-state three strand loop current model was proposed. This model gives an explanation for the relation between the loop current and the twist geometry of the strands. According to this model. The twisr geometry and the surface contact resistance of the strand has significant influence on the generation of the loop current especially in the large superconducting magnet.

• Information Systems Review
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• v.24 no.1
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• pp.105-123
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• 2022

Thanks to the remarkable success of Artificial Intelligence (A.I.) techniques, a new possibility for its application on the real-world problem has begun. One of the prominent applications is the bankruptcy prediction model as it is often used as a basic knowledge base for credit scoring models in the financial industry. As a result, there has been extensive research on how to improve the prediction accuracy of the model. However, despite its impressive performance, it is difficult to implement machine learning (ML)-based models due to its intrinsic trait of obscurity, especially when the field requires or values an explanation about the result obtained by the model. The financial domain is one of the areas where explanation matters to stakeholders such as domain experts and customers. In this paper, we propose a novel approach to incorporate financial domain knowledge into local rule generation to provide explanations for the bankruptcy prediction model at instance level. The result shows the proposed method successfully selects and classifies the extracted rules based on the feasibility and information they convey to the users.

• Journal of Korean Medical classics
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• v.22 no.4
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• pp.51-54
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• 2009

While we study the book "Somun(素問)", we have to take Wangbing(王冰) Note as reference, which has to be understood by later generation on reading the book Sin-gyojeong(新校正) of Imeok(林億) from Song dynasty. At the final period of Edo in Japan, the famous Han medical expert, Yamada(山田) Gyoukou(業廣) sought a complete new way to compile a book named "Somunchajujipso(素問次注集疏)", a notes and commentaries work combined the original text of "Somun(素問)", Wangbing(王冰) Note and Sin-gyojeong(新校正) by taking the reference of generations medical books and notes both China and Japan. There have been many books to give notes on "Somun(素問)" in many generations, but less of them giving notes to the original text, but to Wangbing Note a little bit at most. In "Somunchajujipso", textual research and notes are given as a special example to the forward, original text and explanation part of "Somun", Song dynasty edition. Especially the detail explanation to the forward part of Imeok(林億), no one has done better than Gyoukou(業廣) until now. It sufficiently shows Gyoukou's(業廣) enriched knowledge accumulated by years hard research in Confucian classics, history and medical books, which enable it a worthy reference statement. The issued of the book "Somunchajujipso(素問次注集疏)" expands a new area for the research of "Somun" and present new research improvement of "Somun" in Japan.

• Journal of The Korean Association For Science Education
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• v.32 no.3
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• pp.486-501
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• 2012

The aims of this study are to investigate two main problems for the hypothetico-deduction method and to develop a scientific inquiry model to resolve these problems. The structure of this scientific inquiry model consists of accounts of the context of discovery and justification that the hypothetico-deduction holds as two main problems : 1) the heuristic flaw in the hypothetico-deduction method is that there is no limit to creating hypotheses to explain natural phenomena; 2) Logically, this brings into question affirming the consequent and modus tollens. The features of the model are as follows: first, the generation of hypotheses using an analogical abduction and the selection of hypotheses using consilience and simplicity; second, the expansion phase as resolution for the fallacy of affirming the consequent and the recycle phase as resolution for modus tollens involving auxiliary hypotheses. Finally, we examine the establishment process of Copernicus's Heliocentric Hypothesis and the main role of the history of science for the historical invalidity of this scientific inquiry model based on three examples of If/and/then type of explanation testing suggested by Lawson (International journal of science and Mathematics Education, 2005a, 3(1): 1-5) We claim that this hypotheticho-deduction process involving abduction approach produced favorable in scientific literacy rising for science teacher as well as students.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.12
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• pp.1216-1222
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• 2009

This article describes a simple method for generating the walking trajectory for the biped humanoid robot. The method used a simple inverted model instead of complex multi-mass model and a reasonable explanation for the model simplification is included. The problem of gait trajectory generation is to find the solution from the desired ZMP trajectory to CoG trajectory. This article presents the analytic solution for the bipedal gait generation on the bases of ZMP trajectory. The presented ZMP trajectory has Fourier series form, which has finite or infinite summation of sine and cosine functions, and ZMP trajectory can be designed by calculating the coefficients. From the designed ZMP trajectory, this article focuses on how to find the CoG trajectory with analytical way from the simplified inverted pendulum model. Time segmentation based approach is adopted for generating the trajectories. The coefficients of the function should be designed to be continuous between the segments, and the solution is found by calculating the coefficients with this connectivity conditions. This article also has the proof and the condition of solution existence.

• Journal of Sasang Constitutional Medicine
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• v.33 no.1
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• pp.22-37
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• 2021

Objectives The purpose of this study is to examine the characteristics of the experience prescription in 『Donguisusebowon(東醫壽世保元)』. Methods We examined the examples of the experience prescription in the pathology of 『Donguisusebowon』. Afterward, we considered the characteristics about the experience prescription of Junggyeong Jang and the Next Generation Doctors in 『Donguisusebowon』. Results and Conclusion 1. The Junggyeong Jang's experience prescription isn't modified despite the fact that it doesn't fit the constitutional disease and pharmacology, and many experience prescriptions are mentioned to in the pathology of 『Donguisusebowon』. But the Next Generation Doctors's experience prescription is modified, and a considerable number of experience prescriptions are not mentioned to in the pathology of 『Donguisusebowon』. 2. Jema Lee cited all of the Junggyeong Jang's experience prescription except Daesiho-tang(大柴胡湯) as an explanation for the constitutional disease, and cited a prescription that could not be used for the constitutional disease. And the pathological symptom of the Junggyeong Jang's experience prescription was used to establish the system of the Sasang Constitutional Medicine, so the Junggyeong Jang's experience prescription wasn't modifed. 3. Jema Lee cited a prescription that could be used for the constitutional disease. And the pharmacology of the Next Generation Doctors's experience prescription was used to establish the system of the Sasang Constitutional Medicine, so the Next Generation Doctors's experience prescription was modifed. 4. Jema Lee established the Sasang Constitutional Medicine based on the Existing Medicine. It was appeared in composition and name about the table of contents of the experience prescription in 『Donguisusebowon』.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.307-332
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• 2022

One of the most intensively conducted research areas in business application study is a bankruptcy prediction model, a representative classification problem related to loan lending, investment decision making, and profitability to financial institutions. Many research demonstrated outstanding performance for bankruptcy prediction models using artificial intelligence techniques. However, since most machine learning algorithms are "black-box," AI has been identified as a prominent research topic for providing users with an explanation. Although there are many different approaches for explanations, this study focuses on explaining a bankruptcy prediction model using a counterfactual example. Users can obtain desired output from the model by using a counterfactual-based explanation, which provides an alternative case. This study introduces a counterfactual generation technique based on a genetic algorithm (GA) that leverages both domain knowledge (i.e., causal feasibility) and feature importance from a black-box model along with other critical counterfactual variables, including proximity, distribution, and sparsity. The proposed method was evaluated quantitatively and qualitatively to measure the quality and the validity.

• The Plant Pathology Journal
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• v.31 no.2
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• pp.97-107
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• 2015

Alteration of genetic make-up of the isolates and mono-sporidial strains of Tilletia indica causing Karnal bunt (KB) disease in wheat was analyzed using DNA markers and SDS-PAGE. The generation of new variation with different growth characteristics is not a generalized feature and is not only dependant on the original genetic make up of the base isolate/monosporidial strains but also on interaction with host. Host determinant(s) plays a significant role in the generation of variability and the effect is much pronounced in monosporidial strains with narrow genetic base as compared to broad genetic base. The most plausible explanation of genetic variation in presence of host determinant(s) are the recombination of genetic material from two different mycelial/sporidia through sexual mating as well as through parasexual means. The morphological and development dependent variability further suggests that the variation in T. indica strains predominantly derived through the genetic rearrangements.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.2635-2643
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• 2011

Current freight electric locomotives (132 ton) of the eco-friendly and can carry large cargo logistics as a means of generation has increased the demand at home and abroad. Especially, Freight electric locomotives to increase the traction, it is easy to mass and rapid transport. In addition, Freight electric locomotives is no exhaust and low noise compared to diesel -electric locomotives and it can be eco-friendly transportation. CO_CO BOGIE of Freight electric locomotives has no the center pivot and Traction_Rod and Spring of CO_CO BOGIE is mounted on the body. These freight electric locomotives to be satisfied with the safety regulations. Carbody development satisfied Implementation of optimum body and collision is the focus. Accordingly, the different approach in the upper and lower carbody structure and interior and equipment placement is needed. On this paper, the contents give explanation of cases on carbody design composed of freight electric locomotives now developed and process of improvement by structure analysis and collision analysis.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.1154-1159
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• 2004

Unexpected postoperative changes, such as growth in rib hump, has been occasionally reported after corrective surgery for scoliosis. However there has been experimental data for explanation of these changes, nor the suggestion of optimal correction method. This numerical study was designed to investigate the main correlating elements in operative kinematics with post-operative changes of vertebral rotation and rib cage deformation in the corrective surgery of scoliosis. To develop a scoliotic spine model automatically, a special program for converting normal spine model to scoliotic spine model was developed. A mathematical finite element model of normal spine including rib cage, sternum, both clavicles, and pelvis was developed with anatomical details. The skeletal deformity of scoliosis was reconstructed, by mapping the X-ray images of a scoliosis into this three dimensional normal spine and rib cage model. The geometric mapping was performed by translating and rotating the spinal colume with the amount analyzed from the digitized 12 built-in coordinate axes in each vertebral image. By utilizing this program, problems generated in mapping procedure such as facet joint overlapping, vertebral body deformity could be automatically resolved.