• Title/Summary/Keyword: Index Allocation

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An Empirical Analysis of Costs related to Nursing Practice (간호 관련 비용의 실증적 사례분석 연구)

  • Ko, Yu Kyung;Park, Bo-Hyun
    • Journal of Korean Academy of Nursing Administration
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    • v.23 no.2
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    • pp.139-150
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    • 2017
  • Purpose: The purpose of this study was to identify nursing service costs associated with all health care costs incurred by the institution. Methods: This study was an empirical case study research in which the nursing cost was separated from total medical cost. The nursing cost index was calculated through a cost allocation method after summarizing costs for personnel, raw materials and administration of each department in one public hospital. The 2014 budget plan, published in 'Public Hospitals Alert', was used as data and the data were analyzed using the Microsoft Office EXCEL 2013 program. Results: When comparing total medical costs and nursing costs, the nursing cost were 27.14% of the total medical cost. The nursing cost per nurse per hour was calculated as \29,128 The nursing cost per inpatient per day was calculated as \157,970, and the administration cost per patient was calculated as \133,710. Conclusion: The results of the research present the process of cost allocation of specific cost elements in the hospital and evidence for administrative costs which in the past have been only vaguely formulated. These are the significant implications of this study.

A Study on the Rational Selection of Experimental Facilities Using AHP (AHP를 이용한 전문대학 실험기자재 선정 방안)

  • Park, Byoung-Tae;Lim, Seok-Jin
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.32 no.4
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    • pp.153-160
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    • 2009
  • In the research-oriented university there are various laboratories in the departments according to a major field of study. Under these circumstances the budget to purchase experimental facilities has only to be distributed among research teams and then is spent within the confines of it without rein. However, in case of college the budget for experimental facilities needs to be considered other allocation methods because of no laboratory being managed by professor. In this paper the methodology for the rational selection of experimental facilities for college is proposed. It is composed of the following ; (1) the rational allocation method of the budget for experimental facilities in consideration of the characteristics of individual departments, and (2) the evaluation and selection of the alternative experimental facilities submitting in each department. To decide rationally importance of estimation index for the determination of budget and equipment is applied the Analytic Hierarchy Process(AHP) technique. First the proposed methods are presented and then discussed with simulation results.

Optimal user selection and power allocation for revenue maximization in non-orthogonal multiple access systems

  • Pazhayakandathil, Sindhu;Sukumaran, Deepak Kayiparambil;Koodamannu, Abdul Hameed
    • ETRI Journal
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    • v.41 no.5
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    • pp.626-636
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    • 2019
  • A novel algorithm for joint user selection and optimal power allocation for Stackelberg game-based revenue maximization in a downlink non-orthogonal multiple access (NOMA) network is proposed in this study. The condition for the existence of optimal solution is derived by assuming perfect channel state information (CSI) at the transmitter. The Lagrange multiplier method is used to convert the revenue maximization problem into a set of quadratic equations that are reduced to a regular chain of expressions. The optimal solution is obtained via a univariate iterative procedure. A simple algorithm for joint optimal user selection and power calculation is presented and exhibits extremely low complexity. Furthermore, an outage analysis is presented to evaluate the performance degradation when perfect CSI is not available. The simulation results indicate that at 5-dB signal-to-noise ratio (SNR), revenue of the base station improves by at least 15.2% for the proposed algorithm when compared to suboptimal schemes. Other performance metrics of NOMA, such as individual user-rates, fairness index, and outage probability, approach near-optimal values at moderate to high SNRs.

Cancer Research Trends in Traditional Korean Medical Journals since 2000 - Topic Modeling Using Latent Dirichlet Allocation and Keyword Network Analysis (2000년 이후 국내 한의학 암 관련 연구 동향 분석 - Latent Dirichlet Allocation 기반 토픽 모델링 및 연관어 네트워크 분석)

  • Kyeore Bae
    • The Journal of Internal Korean Medicine
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    • v.43 no.6
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    • pp.1075-1088
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    • 2022
  • Objectives: The aim of this study is to analyze cancer research trends in traditional Korean medical journals indexed in the Korea Citation Index since 2000. Methods: Cancer research papers published in traditional Korean medical journals were searched in databases from inception to October 2022. The numbers of publications by journal and by year were descriptively assessed. After natural language processing, topic modeling (based on Latent Dirichlet allocation) and keyword network analysis were conducted. Results: This research trend analysis involved 1,265 papers. Six topics were identified by topic modeling: case reports on symptom management, literature reviews, experiments on apoptosis, herbal extract treatments of breast carcinoma cell lines, anti-proliferative effects of herbal extracts, and anti-tumor effects. Keyword network analysis found that the effects of herbal medicine were assessed in clinical and experimental studies, while acupuncture was mainly mentioned in clinical reports. Conclusions: Cancer research papers in traditional Korean medical journals have contributed to evidence-based medicine. Further experimental studies are needed to elucidate the effects of on different hallmarks of cancer. Rigorous clinical studies are needed to support clinical guidelines.

Development of a Spatial Location-Allocation Model of Center Villages (I) - Development and Verification of Model - (농촌중심마을의 공간적 입지-배분 모형의 개발(I) - 모형의 개발 및 검증 -)

  • 김대식;정하우
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.43 no.2
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    • pp.112-121
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    • 2001
  • In this study, a spatial location-allocation model of center villages (SLAMCV) was developed for selecting spatial center villages and allocating their rear villages. In SLAMCV, rural space was considered as a network with villages for nodes and roads for connecting lines. For quantification of residents’ accessibilities in the network, a disutility index (DUI) was developed and used, which is dependent upon travelling distance between the center and its hinter villages, design vehicle speed in connecting road and population of hinter villages. SLAMCV was verified to Christaller’s hexagonal hierachical settlement system to test the theoretical reasonability and computing algorithm of the model.

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Reconfiguration of Redundant Thrusters by Allocation Method

  • Jin, Jae-Hyun;Tahk, Min-Jea
    • International Journal of Aeronautical and Space Sciences
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    • v.6 no.2
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    • pp.76-83
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    • 2005
  • Thrusters are important actuators where air is rare. Since the maintenance or replacement of thrusters is not easy in such an environment, a thrusting system must be highly reliable. Redundant thrusters are used to meet the reliability requirement. In this paper, a reconfiguration problem for those redundant thrusters is discussed, especially the management or distribution logic of redundant thrusters is focused on. The logic has to be changed if faults occur at thrusters. Reconfiguration is to change the distribution logic to accommodate thrusters' faults. The authors propose a reconfiguration algorithm based on the linear programming method. The authors define the reconfiguration problem as an optimization problem. The performance index is a quantity related with total fuel consumption by thrusters. This algorithm can accommodate multiple faults. Numerical examples are given to show the advantage of the proposed algorithm over existing methods.

What Topics Have Been Studied in Korean Mathematics Education for 15 Years: Latent Topic Modeling Analysis

  • Hwang, Jihyun
    • Research in Mathematical Education
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    • v.24 no.4
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    • pp.313-335
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    • 2021
  • The purpose of this research is to identify topics discussed by Korean mathematics education studies and examine research trends for 15 years. I applied latent Dirichlet allocation (LDA) to the original text datasets including English abstracts of 3,157 articles published in eight journals indexed by the Korean Citation Index (KCI) from 1997 to 2019. I identified an LDA model with 60 topics, then research trends in 2,884 articles between 2002 and 2018 were as follows; mathematics educators have paid most attention to teacher education through 2010 to 2015 and curriculum analysis after 2016. The findings in this research can contribute to understand what have been discussed in Korean mathematics education society as well as what will and need to be emphasized more in the future compared to the global research trends. In addition, LDA has potentials to identify topics and keywords of manuscripts newly written and submitted to any journals in addition to information provided by authors.

A Study on Portfolios Using Simulated Annealing and Tabu Search Algorithms (시뮬레이티드 어닐링와 타부 검색 알고리즘을 활용한 포트폴리오 연구)

  • Woo Sik Lee
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.2_2
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    • pp.467-473
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    • 2024
  • Metaheuristics' impact is profound across many fields, yet domestic financial portfolio optimization research falls short, particularly in asset allocation. This study delves into metaheuristics for portfolio optimization, examining theoretical and practical benefits. Findings indicate portfolios optimized via metaheuristics outperform the Dow Jones Index in Sharpe ratios, underscoring their potential to enhance risk-adjusted returns significantly. Tabu search, in comparison to Simulated Annealing, demonstrates superior performance by efficiently navigating the search space. Despite these advancements, practical application remains challenging due to the complexities in metaheuristic implementation. The study advocates for broader algorithmic exploration, including population-based metaheuristics, to refine asset allocation strategies further. This research marks a step towards optimizing portfolios from an extensive array of financial assets, aiming for maximum efficacy in investment outcomes.

Regional Level of Inclusive Development

  • Shashyna, Maryna V.;Butko, Mykola P.;Tulchynska, Svitlana O.
    • International Journal of Computer Science & Network Security
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    • v.21 no.5
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    • pp.133-138
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    • 2021
  • The concept of inclusive development provides equal opportunities for all participants in access to the labor market and resource allocation. This concept emphasizes the equality of human capital, the ecological state of the environment, social protection and food security. This concept is fundamentally different from the standard perception of economic growth, because it has broader goals than simply increasing incomes and GDP. It rejects the position that positive results are an automatic consequence of growth; here the basic condition is human development and increase of its well-being, reduction of poverty. Therefore, it is not the result of distribution that becomes primary, but the involvement in the process of social reproduction. An alternative system of characterization of the country's position according to the resulting indicator of the Inclusive Development Index was presented at the World Economic Forum in Davos. In this research the methodical development of the system of estimation of the index of inclusive development for regions of the NUTS 4 level of the European classification is resulted.

A Study on Operation Problems for the Emergency Medical Process Using Real-Time Data (실시간데이터를 활용한 응급의료 프로세스 운영에 관한 연구)

  • Kim, Daebeom
    • Journal of the Korea Society for Simulation
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    • v.26 no.3
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    • pp.125-139
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    • 2017
  • Recently, interest in improving the quality of EMS(emergency medical services) has been increasing. Much effort is being made to innovate the EMS process. The rapid progress of ICT technology has accelerated the automation or intelligence of EMS processes. This study suggests an emergency room management method based on real-time data considering resource utilization optimization, minimization of human error and enhancement of predictability of medical care. Emergency room operation indices - Emergency care index, Short stay index, Human error inducing index, Waiting patience index - are developed. And emergency room operation rules based on these indices are presented. Simulation was performed on a virtual emergency room to verify the effectiveness of the proposed operating rule. Simulation results showed excellent performance in terms of length of stay.