• Proceedings of the Korea Society for Simulation Conference
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• 1999.10a
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• pp.169-169
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• 1999

최근 산업 플랜트의 공정제어 시스템은 복잡하고 대규모화되어 고장 발생시 경제적 손실과 위험성이 증폭되어 규정된 안정서와 신뢰성 확보가 필수적이라 할 수 있다. 고장검출 및 진단기법은 시스템의 신뢰성을 높이기 위한 효과적인 방안을 연구하는 것으로 현대에 들어서 많은 학자들의 관심을 끌고 있으며 실제 계통에 점차적으로 응용되고 있다. 현재까지 개발된 고장검출 및 진단기법은 사용된 프로세스 모델의 형태, 고장검출 진단 알고리즘에 따라 다양하게 분류 될 수 있으며 일반적으로 사용된 모델에 따라 크게 1) 정량적 모델에 근거한 해석적 기법, 2) 정성적 모델에 근거한 기법, 3) 지식기반 진단 기법으로 구분 할 수 있다. 이중 정량적 모델 기법은 대상계통의 수학적 모델에 근거하여 운전 데이터를 분석함으로서 고장검출 진단을 수행하는 해석적 기법으로서 근본적으로 계통의 정확한 수학적 모델을 요구하므로 불확실성을 포함한 계통 및 비선형성이 강한 계통등에는 적용이 곤란하다. 정성적 모델 및 지식기반 기법은 정량적 진단 기법과는 달리 대상 프로세스에 대한 수학적 모델 대신에 운전자의 경험과 프로세스 변수간의 상호 작용 및 고장의 전파과정, 고장원인과 증상과의 직접적인 관계에 대한 구조적 지식에 근거한 것으로 고장원인에 대한 계통의 동작을 추론 할 수 있으며, 상황 변화에 따른 영향을 예측할 수 있다. 본 논문에서는 정성적 모델 및 지식기반 기법에 근거한 고장검출 및 진단 기술을 화력 발전소 보일로 프로세스에 적용하여 정성적 시뮬레이션에 의한 설비의 고장을 조기에 발견하여 고장 파급으로 인한 발전 정지 및 설비의 손상 확대를 방지하고 고장 발생시 신속한 원인 규명 및 후속 조치관련 정보들을 운전원에게 제공할 목적으로 현재 전력원에서 개발중인 지능형 경보시스템에 대하여 기술하고자 한다.음과 같이 설명하였다. 서로 상반되는 것들이 다음과 같이 설명하였다. 서로 상반되는 것들이 부딛힘이 없이 공존하고 일상의 논리가 무시된다. 부정, 의심이 없고 확실한 것이 없다. 한 대상에 가졌던 생각이 다른 대상에 옮겨간다(displacement). 한 대상이 여러 대상이 갖고 있는 의미를 함축하고 있다(condensation). 시각적인 순서가 무시된다. 마음속의 생각과 외부의 실제적인 일을 구분하지 못한다. 시간 상의 순서가 있다가 없다가 한다. 차례로 일어나야 할 일이 동시에 한꺼번에 일어난다. 대상들이 서로 비슷해지고 동시에 있을 수 없는 대상들이 함께 나타난다. 사고의 정상적인 구조가 와해된다. Matte-Blance는 무의식에서는 여러 독립된 대상들간의 구분을 없애며, 주체와 객체를 하나로 보려는 대칭화(symmetrization)의 경향이 있기 때문에 이런 변화가 생긴다고 하였다. 또 대칭화가 진행되면 무한대의 느낌을 갖게 되어, 전지(moniscience), 전능(omnipotence), 무력감(impotence), 이상화(idealization)가 나타난다. 그러나 무의식에 대칭화만 있는 것은 아니며, 의식의 사고양식인 비대칭도 어느 정도 나타나며, 대칭화의 정도에 따라, 대상들이 잘 구분되어 있는 단계, 의식수준의 감정단계, 집단 내에서의 대칭화 단계, 집단간에서의 대칭화 단계, 구분이 없어지는 단계로 구분하였다.systems. We believe that this taxonomy is a significant contribution because it adds clarity, completeness, and "global perspective" to workflow architectural discussions. The vocabulary suggested here

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.6
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• pp.49-63
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• 2017

The purpose of this study is to analyze the effects of the collective characteristics of SMEs on M&A activity on the disclosure effect of mergers and long-term business performance after mergers. From 2000 to 2012, we examine 717 cases of small and medium-sized enterprises (SMEs) using multiple regression analysis and difference analysis. The results of this study are as follows. First, it is confirmed that the effect on the merger announcement effect is the same as the previous study on the Korean capital market listed companies except for the effect of diversification, listing effect, and cross-border effect. In addition, we have found that firms with higher performance in the past have higher excess returns in the disclosure effect of mergers and acquisitions. Second, unlike the previous studies that non-related mergers have a positive effect on long-term operating performance, for the characteristics of SMEs with lower market competitiveness than that of average listed companies, SMEs merging with same industry group companies have a positive effect on long-term operating performance. This study provides a new perspective on the merger and acquisition of SMEs by examining the effects of M&A announcement and long-term performance.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.513-513
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• 2023

최근 이상기후의 영향으로 국지성 및 집중호우로 인한 침수 피해가 증가하고 있다. 도시유역의 홍수는 사회적·경제적으로 큰 손실을 야기할 수 있어 실제 호우에 대한 침수 양상을 신속하게 예측하는것은 매우 중요하다. 이로 인해 침수 해석에 대한 결과를 빨리 제공할 수 있는 기계학습을 기반으로 한 도시 홍수 분석에 대한 연구가 증가하고 있다. 본 연구에서 적용한 LSTM(Long Short-Term Memory) 신경망은 기존 RNN(Recurrent neural network)이 가지고 있는 장기 의존성 문제를 해결하기 위해 고안된 모델으로 시계열 데이터에 대한 예측능력이 뛰어나다는 장점을 가지고있다. LSTM 신경망은 강우에 대한 격자별 침수심을 예측하기 위해 사용되었으며, 입력자료로 2000~2022년도에 걸친 도림천 유역의 침수피해를 야기한 지속시간 6시간 AWS(Automatic Weather System) 관측 강우 자료를 사용하였고 목표값으로 수집된 도림천 유역의 강우자료를 이용하여 SWMM(Storm Water Management Model)의 유출 결과를 바탕으로 수행된 2차원 침수해석 모의 결과를 사용하였다. 연구유역의 SWMM 배수 관망 입력자료의 정확성을 높이기 위해 서울시 하수관로 수위 현황 자료를 활용하여 매개변수 조정을 실시하였으며, 하수관로의 실측 수위와 모의 수위를 일치시켰다. LSTM 신경망을 이용하여 격자별로 예측된 침수심 데이터를 시각화하여 침수흔적도와 비교하였다.

• The Journal of Bigdata
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• v.5 no.2
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• pp.53-67
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• 2020

This study employees a supervised learning prediction model to detect nonconformity in advance of processed food manufacturing and processing businesses. The study was conducted according to the standard procedure of machine learning, such as definition of objective function, data preprocessing and feature engineering and model selection and evaluation. The dependent variable was set as the number of supervised inspection detections over the past five years from 2014 to 2018, and the objective function was to maximize the probability of detecting the nonconforming companies. The data was preprocessed by reflecting not only basic attributes such as revenues, operating duration, number of employees, but also the inspections track records and extraneous climate data. After applying the feature variable extraction method, the machine learning algorithm was applied to the data by deriving the company's risk, item risk, environmental risk, and past violation history as feature variables that affect the determination of nonconformity. The f1-score of the decision tree, one of ensemble models, was much higher than those of other models. Based on the results of this study, it is expected that the official food control for food safety management will be enhanced and geared into the data-evidence based management as well as scientific administrative system.

• Journal of Sasang Constitutional Medicine
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• v.12 no.1
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• pp.63-83
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• 2000

The common concerns of leadership approaches were focused on finding leadership factors or necessity of leadership change to proper leadership styles adapt to contingent change through observing various leaders' behaviors for improving organizational effectiveness. Basically, they assumed that the human could be adapt to any conditions regardless of his inherent characters though it is perceived generally that human beings have different attitudes and behaviors toward the same fact, condition, situation, etc. In other words, inherent factors that cause individual differences have been neglected but concerned only about postnatal environments which influence human characters in previous leadership studies. A number of studies concerning inherent human characters have been worked in Asia for the past thousands years, which enable answering to the questions; why the human beings have different characters and personalities, and how to manage them in the given life conditions. In this research, four type human theory(called Sasang Theory) which has already been widely used in medical field in Korea will be introduced and applied to leadership theory to indicate inherent causal factors of the human character that are expected to influence leadership styles. In process, two different methods, one is for leadership theory and the other is for Sasang theory, have to be considered to match the different ideas. The theory is so predictable that the result implies possibilities of further future researches in the organizational fields by presupposing human behavior.

• Proceedings of the Korea Society of Poultry Science Conference
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• 2003.07b
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• pp.67-88
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• 2003

The consumption of poultry meat (chicken and turkey) grew the most during the past few decades due to several contributing factors such as low price. product research and development. favorable meat characteristics, responsive to consumer needs, vertical integration and industry consolidation, new processing equipments and technology, and aggressive marketing. The major processing technologies developed and used in chicken processing include forming/restructuring, tumbling, curing, smoking, massaging, injection, marination, emulsifying, breading, battering, shredding, dicing, and individual quick freezing. These processing technologies were applied to various parts of chicken including whole carcass. Product developments using breast, thigh, and mechanically separated chicken meat greatly increased the utilization of poultry meat. Chicken breast became the symbol of healthy food, which made chicken meat as the most frequent menu items in restaurants. However, the use of and product development for dark meat, which includes thigh, drum, and chicken wings were rather limited due to comparatively high fat content in dark meat. Majority of chicken are currently sold as further processed ready-to-cook or ready-to-eat forms. Major quality issues in chicken meat include pink color problems in uncured cooked breast, lipid oxidation and off-flavor, tenderness PSE breast, and food safety. Research and development to ensure the safety and quality of raw and cooked chicken meat using new processing technologies will be the major issues in the future as they are now. Especially, the application of irradiation in raw and cooked chicken meat products will be increased dramatically within next 5 years. The market share of ready-to-eat cooked meat products will be increased. More portion controlled finished products, dark meat products, and organic and ethnic products with various packaging approaches will also be introduced.

• The Journal of the Korea Contents Association
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• v.17 no.7
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• pp.144-157
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• 2017

Although student satisfaction is important in university development, there have been many studies in this area. Especially student satisfaction is closely related to emotional aspect, but most studies have tended to study it with cognitive view. To suggest the model of student satisfaction with hedonic view, the model which we present in this study includes professor presence and interaction, PAD(pleasure, arousal, dominance), satisfaction(dependent variable). Through reviewing previous studies, we expect that these professor presence and students' interaction effect PAD, in turn, PAD effect satisfaction. Survey research is employed to test hypotheses involving professor presence, students' interaction, PAD and satisfaction. Previous researches, such as education, marketing, game, have been referenced to measure constructs. We collected data involving students in a university, and used 219 respondents to analyze these data using LISREL structural modeling. Professor presence had positive effects on professor-student interaction, pleasure, arousal, and dominance. Also professor-student interaction had positive effect on pleasure and arousal, and student-student interaction had positive effects on pleasure and arousal, dominance. As a result, PAD had effects on students' satisfaction. In the final section, we discussed several limitations of our study and suggested directions for future research. We concluded with a discussion of managerial implications, including the potential to advance understanding learning in a university.

• JOURNAL OF ELECTRICAL WORLD
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• s.349
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• pp.90-94
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• 2006

“해마다늘어만가는지구촌곳곳의기상이변, 특히세계유전지대의혹독한풍수해가지난해와마찬가지로일시에밀어닥친다면올해도국제유가의고공행진은하늘을찌를것이다.” 고유가가대세로점쳐지고있는가운데 2 0 0 6년새해를맞아유가의고공행진에대한극단적인우려감이높다. 지난해지구촌이 겪은미국발 허리케인의공포가채 가시지 않은 탓이다. 고유가의정착으로 인해고통을감내한 세계각국은올해초 국제유가의향방을대부분부정적으로내다보고있다. 고유가의원인으로는수요급증에따른수급불균형을우선꼽으면서도고공행진의유가를촉발할여러가지변수도다각도로진단하고있다. 지난해40% 가까이급등한국제유가는올한해에도고공비행을계속할것으로보고있는가운데일부언론은유가 6 0달러시대는이제기정사실화됐다고보도하기도했다. 만약부정적인상황이온다면“WTI 가격은최고 8 0달러, 두바이유가격은최고 6 7달러수준까지상승한다”는전망이나오는가하면“미국과이란의정치적충돌로페르시아만폐쇄사태라도터진다면유가가배럴당 1 0 0달러까지도치솟을수있다”는 경고도 나오고 있다. 우려는 하되 긍정적인 시각도 있다. 고유가가 올해 인플레에 미칠 영향에 대해 경제협력개발기구( O E C D ) 의코엔빈센트수석애널리스트가바로이경우다. 그는최근의고유가는지난 7 0년대와 8 0년대초의석유파동때와는성격이다르다고전제하면서다음과같이진단했다. “당시는공급쪽의충격이컸으나이제는수요급증으로발생하는것”이라고지적하며“선진권경제의석유의존도가크게떨어진점도고유가의파고가큰우려가되지않는다”고밝히고있다. 국내 전문가들도중동정세가 안정되고 미국 경기가 크게 둔화돼 석유수요가감소할경우에도 O P E C의 적극적 감산이예상돼유가가 4 0달러대밑으로내려가기는어려울것으로내다보고있다. 케임브리지에너지연구소( C E R A ) 의경우브렌트유기준으로 지난 연말 배럴당 5 5 . 4달러에서 올해는 5 3 . 5달러로되레떨어질것으로내다봤다. 2006년미국과중국의석유수요가대폭둔화될경우배럴당 4 1 . 3달러까지하락할수도있다는전망을내놨다. 그러나주요산유국의공급차질로인한비관 적인상황이도래할경우엔배럴당7 6달러까지도급등할것이라는경고도덧붙였다. 하여튼 2 0 0 6년유가의향방은고공추세에다주변변수가어떻게잘마무리되느냐, 나아가돌발풍수해에따라선‘껑충’거릴수밖에없다는진단이우세하다. 새해를맞아최근의국제유가동향과나아가유가의향방및변수를진단해봤다.

• Journal of Korea Technology Innovation Society
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• v.14 no.1
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• pp.22-39
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• 2011

This study examines the wage level from a viewpoint of major-job match as part of an analysis on the skill mismatch problem in 4-year college graduates. The empirical analysis explicitly incorporate the sample selection bias as an econometric problem not only suggested but merely introduced in the earlier studies. This study also set up a major-job match variable, which was usually handled as a binary variable for analytical convenience, as a polychotomous choice variable in selection equation as provided by the survey. In particular, it considered multi-cohort survey on graduates of the years 1982, 1992, and 2002 for the empirical analysis. As a result of empirical analysis, the wage premium of a major-job match was identified. This result was consistent after the consideration of a sample selection bias and also after modeling the major-job match variable as polychotomously selective. Through an analysis classified by the major, this study identified a relatively high wage premium among Social Science, Engineering, and Science majors. However, there was a difference in the effect of selection among these majors. Also, by assessing cohort effects this study found that the skill mismatch had rapidly progressed in 1992, while difference between 1992 and 2002 cohorts are insignificant. The analysis suggests that wage level is better understood within the context of both sample selection and major-job match, and regardless of model specification the major-job match affects wage strongly.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.28 no.4
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• pp.105-111
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• 2010

This research aims to grasp the main factors of the image of Xi'an Ming City Wall Park and the harmony level with city walls and moat based on citizen's consciousness to improve the future design, field survey and the POE method are employed to analyze the image factor and harmony level of the Xi'an Ming City Wall Park. In the literature survey, the related materials were collected to obtain the most useful information for references, POE study of the Xi'an Ming City Wall Park were conducted. The instrument for survey is a questionnaire that includes a portion of questions regarding Xi'an Ming City Wall Park and the design intention of the surroundings of city wall. Data were analyzed using the Statistical Package for the Social Science (SPSS17.0 for Windows). Multiple regression analysis, and correlation analysis were employed along with the use of general descriptive data analysis. The factor analysis of the image of Xi'an Ming City Wall Park identified three factors, "environment" factor, "convenience" factor, "cultural aesthetics" factor, and the most important factor is "environment" factor. Among 14 landscape elements, paving, garden architectures and entrance spaces were identified as important variables which significantly affect the overall level of harmony with the city wall, and the space for rest; waterscape and paving were identified as important variables which significantly affect the overall level of harmony with the moat.