• Title/Summary/Keyword: Operation factors

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The Extracardiac Fontan Operation in Adult -A case report- (성인에서의 심외도관 Fontan 수술 - 1예 보고 -)

  • 배윤숙;정승혁;정성철;김우식;윤소영;이정호;김병열
    • Journal of Chest Surgery
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    • v.37 no.1
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    • pp.72-75
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    • 2004
  • The Fontan operation is commonly practiced for the physiologic correction of univentricular heart diseases. However, for the patients who have risk factors against this operation, it is recommended to take the initial palliative operation rather than going to the Fontan operation at once. The proper timing to the Fontan operation after palliation is decided by assessing several factors such as patient's age and other risks of maintaining palliative state, etc. Usually, the Fontan operation is done relatively early after palliation stage. Here, we report a 36 years old-adult-female with univentricular heart disease who underwent the successful Fontan operation at 17 years after unidirectional Glenn procedure.

Investment Decision-making Behaviors and Profitability of the Hospital (병원의 투자결정행태와 수익성)

  • Lee, Chang-Eun;Hwang, In-Kyoung;Chung, Young-Il;Jung, Key-Sun
    • Korea Journal of Hospital Management
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    • v.5 no.1
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    • pp.156-175
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    • 2000
  • This study was designed to find out the relations between the major investment decision-making behaviors and profitability of the hospital. A total of 57 hospitals were analyzed on this study. The major findings were as follows; 1. Among the types of the investment decision-making, major factors affecting the profitability were where the top management belongs among the defender, analyzer, prospector, and reactor type. Other factors were whether or not hospital analyzes which is more economical between the purchase by cash and lease of the medical equipment and whether or not hospital changes the decision before the actual investment. 2, Among the types of the investment decision-making, major factors affecting the financial structure and efficient operation of the assets were ranking of the priority and whether or not hospitals can get enough revenue and cash flow when hospitals have to borrow a big amount of fund from outside. 3. Among the financial indices regarding the financial stability, major factor affecting the profitability was fixed assets to long-tenn capital. Other factors affecting the financial structure and efficient operation of the assets were value added to medical equipment, normal profit to medical equipment, liability to total assets, current ratio, value added to payroll expenses. 4. Investment decision-making behaviors are partially influencing on the financial structure and efficient operation of the assets. However it was proved that the profitability was the most influencial factor than other factors related with the operation of the hospital. 5. To improve the irrational investment decision-making behaviors strategic management system should be introduced, and the top mamagement's investment decision-making style should be changed from reactor and analyser styles to prospector and reactor ones.

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A Study on the Safety Management of UAS by Analyzing Its Accident Factors (무인항공기시스템 사고요인 분석을 통한 안전 운용방안 고찰)

  • Wontae Park
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.31 no.1
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    • pp.1-10
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    • 2023
  • This study investigated the accident cases of the U.S. Air Force and the R.O.K. Army. It analyzed the accident factors of the unmanned aircraft system using case analysis on unmanned aircraft system operators of the R.O.K. Air Force. Following the analysis this paper suggested safety operation plans for the R.O.K. Air Force. The risk factors of unmanned aircraft system were summarized by collecting and analyzing accident cases of unmanned aircraft system by the U.S. Air Force, collecting and analyzing accident risk factors of RQ-4 operators of the R.O.K. Air Force. Through the analyzed risk factors, a safety operation plan for the semi-automatic unmanned aircraft system and the fully automatic unmanned aircraft system was presented.

Study on the Establishment of Rail Grinding Criteria of High-Speed Railway Lines Considering the KTX Operation Circumstances (KTX 운행현황을 고려한 고속선 레일 연마 기준 정립에 대한 연구)

  • Kim, Man-Cheol;Kang, Tae-Ku
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.377-385
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    • 2007
  • The importance of maintenance of rail surface defects is increasing more according to the KTX operation. That is because during high speed operation of rolling stock, rail surface defects may cause shortened fatigue life of rail, acceleration of track degradation and reduced ride comfort. The paper was intended to study the establishment of rail grinding criteria of high-speed railway lines considering the KTX operation circumstances. For this, the specimens of UIC 60 rail on Kyeong-Bu high-speed operation lines were collected and they were analyzed for metallographic structure and tested for the hardness. By analyzing the test results to the factors affecting the RCF causing the defects of rail surface, the study suggested the rail grinding criteria of the domestic high speed railway lines. As the factors affecting RCF, passing tonnage, running speed and track condition are considered.

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A Simulation Model for Improving the Productivity of Container Handling in the Container Terminal

  • Park, Nam-Kyu;Lee, Sang-Wan;Park, Hyung-Rim;Kwon, Hae-Kyoung
    • Journal of Navigation and Port Research
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    • v.28 no.4
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    • pp.285-291
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    • 2004
  • The productivity of container terminal is determined by its various operation methods. This paper aims at finding out the factors to enhance the productivity of container handling of quay crane, using simulation technique. Three levels of decision making in terminal operation, strategy, and tactics and operation are selected for defining parameters of simulation The result of the simulation and test shows that the significant factors to improve the productivity are the stack height of container, block dispersion and the distance in yard planning for shipment. Decision making in the operation level, however, is of significance in the mixed condition of strategic and tactical level. The result shows meaningful guidelines in decision making under strategic, tactical and operation level.

A Study on Factors Affecting Vocational Competency Development Training Performance (직업능력개발훈련 성과에 영향을 주는 요인에 관한 연구)

  • Kim, Tae-Bok;Kim, Kwang-Soo
    • Journal of the Korea Safety Management & Science
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    • v.24 no.3
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    • pp.85-92
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    • 2022
  • In the case of incumbent training, unlike training for the unemployed, it is difficult to show the results of training. In this study, factors affecting the performance of vocational competency development training were selected and the main factors were derived. Data were collected through Focus Group Interview(FGI), and regression analysis was performed through factor analysis and reliability analysis. As a result, empathy, training participation type, reliability, working experience, and training operation type were derived as factors affecting job satisfaction. did. Confidence and training participation patterns were derived as factors affecting training satisfaction, and the results showed that the larger the variable, the more positive it was. Therefore, as factors affecting the vocational competency development training performance, there are empathy, training participation type, reliability, work experience, training operation type, certainty, and training participation type. It was confirmed that the results had an effect.

Incidence and Risk Factors of Acute Postoperative Delirium in Geriatric Neurosurgical Patients

  • Oh, Yoon-Sik;Kim, Dong-Won;Chun, Hyoung-Joon;Yi, Hyeong-Joong
    • Journal of Korean Neurosurgical Society
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    • v.43 no.3
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    • pp.143-148
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    • 2008
  • Objective: Postoperative delirium (POD) is characterized by an acute change in cognitive function and can result in longer hospital stays, higher morbidity rates, and more frequent discharges to long-term care facilities. In this study, we investigated the incidence and risk factors of POD in 224 patients older than 70 years of age, who had undergone a neurosurgical operation in the last two years. Methods: Data related to preoperative factors (male gender, >70 years, previous dementia or delirium, alcohol abuse, serum levels of sodium, potassium and glucose, and co-morbidities), perioperative factors (type of surgery and anesthesia, and duration of surgery) and postoperative data (length of stay in recovery room, severity of pain and use of opioid analgesics) were retrospectively collected and statistically analyzed. Results: POD appeared in 48 patients (21.4%) by postoperative day 3. When we excluded 26 patients with previous dementia or delirium, 17 spontaneously recovered by postoperative day 14, while 5 patients recovered by postoperative 2 months with medication, among 22 patients with newly developed POD. The univariate risk factors for POD included previously dementic or delirious patients, abnormal preoperative serum glucose level, pre-existent diabetes, the use of local anesthesia for the operation, longer operation time (>3.2 hr) or recovery room stay (>90 mini, and severe pain (VAS>6.8) requiring opioid treatment (p<0.05). Backward regression analysis revealed that previously dementic patients with diabetes, the operation being performed under local anesthesia, and severe postoperative pain treated with opioids were independent risk factors for POD. Conclusion: Our study shows that control of blood glucose levels and management of pain during local anesthesia and in the immediate postoperative period can reduce unexpected POD and help preventing unexpected medicolegal problems and economic burdens.

A Study on the Integrated Approach Methodology for Evaluating the Performance of the Cloud-based AIS - Comparative study of Korea and the US (클라우드 기반의 AIS시스템 성과평가를 위한 통합적 접근방법론에 관한 실증적 연구-한미 양국 비교연구)

  • Kim, Dong-Il
    • Journal of Industrial Convergence
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    • v.20 no.7
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    • pp.21-30
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    • 2022
  • In this study, This study focuses on exploring the major factors influencing the successful introduction of the cloud-based accounting information system, which is the top priority in the field of corporate digital transformation. Therefore, theories were summarized based on the company's cloud environment and related prior research, and the major performance factors of the company were analyzed by dividing them into organizational factors, business operation factors, and technical system factors. Considering that the cloud-based accounting information system is in the early stages of its introduction, the research analysis method ranks major success factors according to their importance using the Delphi targeting the expert panel, through the AHP method, the major performance variables were finally explored through the mutual importance analysis of each major factor. As a result of the analysis, organizational factors were analyzed as corporate sustainability, business operational factors were the business solutions, and system scalability factors were analyzed. This study will be able to provide additional useful information on the initial introduction strategy and operation for the introduction and operation of the cloud-based accounting information system.

An Estimation of a Billet Temperature during Reheating Furnace Operation

  • Jang, Yu-Jin;Kim, Sang-Woo
    • International Journal of Control, Automation, and Systems
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    • v.5 no.1
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    • pp.43-50
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    • 2007
  • Reheating furnace is an essential facility of a rod mill plant where a billet is heated to the required rolling temperature so that it can be milled to produce wire. Although it is very important to obtain information on billet temperatures, it is not feasible during furnace operation. Consequently, a billet temperature profile should be estimated. Moreover, this estimation should be done within an appropriate time interval for an on-line application. In this paper, a billet heat transfer model based on 2D FEM(Finite Element Method) with spatially distributed emission factors is proposed for an on-line billet temperature estimation and also a measurement is carried out for two extremely different furnace operation patterns. Finally, the difference between the model outputs and the measurements is minimized by using a new optimization algorithm named uDEAS(Univariate Dynamic Encoding Algorithm for Searches) with multi-step tuning strategy. The obtained emission factors are applied to a simulation for the data which are not used in the model tuning for validation.