• Title/Summary/Keyword: Action Decision

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A Study on the efficient Operation Policy of Knowledge Management (지식경영의 효율적인 운영방안에 관한 연구)

  • Moon Chang-Soo
    • Management & Information Systems Review
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    • v.14
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    • pp.181-193
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    • 2004
  • This paper is concerned with the study of 'Knowledge Management', a paradigm of thought based on the idea that the future will be a knowledge-centered society. This paper also provides an overview of both 'what to manage' and 'how to manage' if an organization wants to develop in this environment. The process of 'Knowledge Management' begins with a decision. Presented with a myriad of information, of which we can't afford to obtain it all, what information is of value to the organization? Further, by systematically organizing not only the primary information but also that which was accumulated in the process, Knowledge Management is capable of suggesting a value-added plan of action. This research presents the necessary principles needed in order to successfully use Knowledge Management, specifically a harmony between the human and technological aspects. There cannot be a static solution to the problem, as the environment of the enterprise's problem is dynamic in nature. Throughout the process, the enterprise will constantly change its strategy and structure in order to adapt to variable knowledge, technology, strategy, regulations, consumer interest, etc... The essential constant of these problems is the importance of spending on education. Investments in educations help develope a infrastructure for Information Technology, the development of knowledge distribution strategies, and the creation of efficient Knowledge Management policy.

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Seismic damage of long span steel tower suspension bridge considering strong aftershocks

  • Xie, X.;Lin, G.;Duan, Y.F.;Zhao, J.L.;Wang, R.Z.
    • Earthquakes and Structures
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    • v.3 no.5
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    • pp.767-781
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    • 2012
  • The residual capacity against collapse of a main shock-damaged bridge can be coupled with the aftershock ground motion hazard to make an objective decision on its probability of collapse in aftershocks. In this paper, a steel tower suspension bridge with a main span of 2000 m is adopted for a case-study. Seismic responses of the bridge in longitudinal and transversal directions are analyzed using dynamic elasto-plastic finite displacement theory. The analysis is conducted in two stages: main shock and aftershocks. The ability of the main shock-damaged bridge to resist aftershocks is discussed. Results show that the damage caused by accumulated plastic strain can be ignored in the long-span suspension bridge. And under longitudinal and transversal seismic excitations, the damage is prone to occur at higher positions of the tower and the shaft-beam junctions. When aftershocks are not large enough to cause plastic strain in the structure, the aftershock excitation can be ignored in the seismic damage analysis of the bridge. It is also found that the assessment of seismic damage can be determined by superposition of damage under independent action of seismic excitations.

A Simulation Analysis for the Shortening of the Patients' Stay Time in the Emergency Department (응급실 체류시간 단축을 위한 시뮬레이션 분석)

  • Lee, Jung-Man;Kim, Mi-Yi;Kim, Dong-Hyun;Lee, Jong-Il;Kim, Ki-Man;Lee, Young-Hoon;Kim, Seung-Ho;Park, Yu-Suk
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.32 no.4
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    • pp.17-24
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    • 2009
  • The purpose of this research is to find the reasons of overcrowding in the emergency department of an hospital, then to shorten the total stay time of patients. The fact that main causes of the overcrowding exist in the process of the emergency department was discovered by analysis of the data. In order to improve these process, simulation model was developed by ARENA 7.0. Staff's service time, staff's organization, process ratio, and patient's waiting time were estimated in the simulation model in consideration of the decision of the patient's course of action. Several scenarios such as the simplification of the process, the setup of dedicated pathology lab, and mixed method were suggested and evaluated. Total stay time of the patients would be reduced up to 28.45%.

Human Action Recognition in Videos using Multi-classifiers (다중 판별기를 이용한 비디오 행동 인식)

  • Kim, Semin;Ro, Yong Man
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2013.11a
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    • pp.54-57
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    • 2013
  • 최근 다양한 방송 및 영상 분야에서 사람의 행동을 인식하여는 연구들이 많이 이루어지고 있다. 영상은 다양한 형태를 가질 수 있기 때문에 제약된 환경에서 유용한 템플릿 방법들보다 특징점에 기반한 연구들이 실제 사용자 환경에서 더욱 관심을 받고 있다. 특징점 기반의 연구들은 영상에서 움직임이 발생하는 지점들을 찾아내어 이를 3차원 패치들로 생성한다. 이를 이용하여 영상의 움직임을 히스토그램에 기반한 descriptor(서술자)로 표현하고 학습기반의 판별기(classifier)로 최종적으로 영상 내에 존재하는 행동들을 인식하였다. 그러나 단일 판별기를 이용한 다양한 영상 인식을 수용하기에는 힘들다. 최근에 이를 개선하기 위하여 다중 판별기를 활용한 연구들이 영상 판별 및 물체 검출 영역에서 사용되고 있다. 따라서 본 논문에서는 행동 인식을 위하여 support vector machine과 spare representation을 이용한 decision-level fusion 방법을 제안하고자 한다. 제안된 논문의 방법은 영상에서 특징점 기반의 descriptor를 추출하고 이를 각각의 판별기를 통하여 판별 결과들을 획득한다. 이 후 학습단계에서 획득된 가중치를 활용하여 각 결과들을 융합하여 최종 결과를 도출하였다. 본 논문에 실험에서 제안된 방법은 기존의 융합 방법보다 높은 행동 인식 성능을 보여 주었다.

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Korean Transition-based Dependency Parsing with Recurrent Neural Network (순환 신경망을 이용한 전이 기반 한국어 의존 구문 분석)

  • Li, Jianri;Lee, Jong-Hyeok
    • KIISE Transactions on Computing Practices
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    • v.21 no.8
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    • pp.567-571
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    • 2015
  • Transition-based dependency parsing requires much time and efforts to design and select features from a very large number of possible combinations. Recent studies have successfully applied Multi-Layer Perceptrons (MLP) to find solutions to this problem and to reduce the data sparseness. However, most of these methods have adopted greedy search and can only consider a limited amount of information from the context window. In this study, we use a Recurrent Neural Network to handle long dependencies between sub dependency trees of current state and current transition action. The results indicate that our method provided a higher accuracy (UAS) than an MLP based model.

Risk Assessment and Pharmacogenetics in Molecular and Genomic Epidemiology

  • Park, Sue-K.;Choi, Ji-Yeob
    • Journal of Preventive Medicine and Public Health
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    • v.42 no.6
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    • pp.371-376
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    • 2009
  • In this article, we reviewed the literature on risk assessment (RA) models with and without molecular genomic markers and the current utility of the markers in the pharmacogenetic field. Epidemiological risk assessment is applied using statistical models and equations established from current scientific knowledge of risk and disease. Several papers have reported that traditional RA tools have significant limitations in decision-making in management strategies for individuals as predictions of diseases and disease progression are inaccurate. Recently, the model added information on the genetic susceptibility factors that are expected to be most responsible for differences in individual risk. On the continuum of health care, from diagnosis to treatment, pharmacogenetics has been developed based on the accumulated knowledge of human genomic variation involving drug distribution and metabolism and the target of action, which has the potential to facilitate personalized medicine that can avoid therapeutic failure and serious side effects. There are many challenges for the applicability of genomic information in a clinical setting. Current uses of genetic markers for managing drug therapy and issues in the development of a valid biomarker in pharmacogenetics are discussed.

A Direction-Decision RFID System with a Authentication (인증 기능을 갖는 방향 결정 자율이동 RFID 시스템)

  • Park, Chul-Min;Jo, Heung-Kuk;Lee, Hoon-Jae
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.6
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    • pp.1032-1038
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    • 2008
  • RFID is applied in various industry area. The purpose of RFID system is authentication of objects. After Tag's certification, RFID system start to process to be wanted. A RFID electric motor recognizes Tag's action and tails. The application of this system is very wide. For example, a cart in shopping Mall follows customer with a proper Tag. Customer may be very convenient if the cart follows customer autonomously as recognizing the direction of Tag. In this parer, we studied about RFID system that follow objects with a Tag. Finally, we experimented and analysed the proposed system, with Tag, Reader, host computer and electric motion motors.

Prediction of Type 2 Diabetes Remission after Bariatric or Metabolic Surgery

  • Park, Ji Yeon
    • Journal of Obesity & Metabolic Syndrome
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    • v.27 no.4
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    • pp.213-222
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    • 2018
  • Bariatric surgery has evolved from a surgical measure for treating morbid obesity to an epochal remedy for treating metabolic syndrome as a whole, which is represented by type 2 diabetes mellitus. Numerous clinical trials have advocated bariatric or metabolic surgery over nonsurgical interventions because of markedly superior metabolic outcomes in morbidly obese patients who satisfy traditional criteria for bariatric surgery (body mass index [BMI] >$35kg/m^2$) and in less obese or simply overweight patients. Nevertheless, not all diabetes patients achieve the most desirable outcomes; i.e., diabetes remission after metabolic surgery. Thus, candidates for metabolic surgery should be carefully selected based on comprehensive preoperative assessments of the risk-benefit ratio. Predictors for diabetes remission after metabolic surgery may be classified into two groups based on mechanism of action. The first is indices for preserved pancreatic beta-cell function, including younger age, shorter duration of diabetes, and higher C-peptide level. The second is the potential for an insulin resistance reduction, including higher baseline BMI and visceral fat area. Several prediction models for diabetes remission have been suggested by merging these two to guide the joint decision-making process between clinicians and patients. Three such models, DiaRem, ABCD, and individualized metabolic surgery scores, provide an intuitive scoring system and have been validated in an independent external cohort and can be utilized in routine clinical practice. These prediction models need further validation in various ethnicities to ensure universal applicability.

Effects of a Critical Thinking Course for Korean Nurses in RN-BSN Program

  • Je, Nam-Joo;Lee, Shin-Young;Lee, Seonah
    • Journal of Integrative Natural Science
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    • v.12 no.2
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    • pp.58-68
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    • 2019
  • Critical thinking is essential to implementing the nursing process requiring timely decision making. The study examined the effects of a critical thinking course for nurses in the RN-BSN program. The study used a pre- and post-test design with a control group. The experimental group was a convenience sample of 24 working nurses attending a health college. The control group was 24 fellow nurses. The nursing process-based critical thinking course was provided to the experimental group two and half hours a week for 8 weeks. Teaching methods included lectures followed by a summary and quiz, brainstorming and action learning, and lecturer feedback. A pamphlet about views of professional occupation was provided to the control group. The data were collected using self-report questionnaires and analyzed to examine differences in the test scores before and after the intervention. The scores of critical thinking disposition, problem-solving process, and clinical competence increased significantly in the experimental group but did not in the control group. The difference between the two groups was also statistically significant in critical thinking disposition, problem-solving process, and clinical competence. It is necessary that a robust educational program or training to enhance critical thinking ability of nurses are provided in clinical settings and that nurses keep going on thinking critically in their practice.

A System Dynamics Model for Evaluation of Maintenance Cost Policy in Deteriorated School Building (노후 학교건물의 유지관리비용 정책 평가를 위한 시스템 다이내믹스 모델)

  • Kang, Suhyun;Kim, Sangyong
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.35 no.12
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    • pp.181-188
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    • 2019
  • The maintenance of school building is pivotal issue. However, it is difficult to obtain basic analysis data for LCC(Lifecycle Cost) analysis and maintenance planning of school building. Therefore, this study proposed System Dynamics(SD) techniques to make maintenance decisions for school building. The interaction between the major parameters related to the aging of a building, maintenance activities, and cost were expressed in Causal Loop Diagram. Based on this, the formula for the relationship between causal maps was defined and converted to Stock and Flow Diagram. Through the completed SD model the 50-year plan of 214 educational building were tested by considered in account budget, maintainability, and budget allocation opinions. As a result, the integrated SD model demonstrated that it can support strategic decision making by identifying the status class and LCC behavior of school buildings by scenario. According to the scenario analysis, the rehabilitation action of preventive maintenance that primarily repairs the buildings in condition grade C showed the best performance improvement effect relative to the cost. Therefore, if the proposed SD model is expanded to consider the effects of other educational policies, the crucial performance improvement budget can be estimated in the long-term perspective.