• Korean Journal of Bronchoesophagology
• /
• v.3 no.1
• /
• pp.174-180
• /
• 1997

Acute laryngeal trauma is a rare injury, but it threatens both the quality and maintenance of life. The optimal goal of treatment for acute communited laryngeal fracture is restoration of the skeletal framework and epithelial lining of endolarynx. But though the diagnostic skill has been developed, decision making for treatment of laryngeal trauma such as operating tim, open exploration versus closed reduction and stenting is very difficult and controversial. Recently, the authors experienced two cases with severe communited fractures of laryngeal framework and endolaryngeal avulsion injuries who were treated successfully with open surgical repair without stenting. So we report these two cases with review of the literatures.

• Health Policy and Management
• /
• v.31 no.1
• /
• pp.5-16
• /
• 2021

Both access to healthcare services and income security in case of personal illness are being needed to achieve universal health coverage, which is enshrined in the human rights to health and social security and international standards on social protection. Income security acts on both the social determinants and the adverse consequences of ill health and thus would break the vicious disease-poverty cycle. The government is supposed to implement a demonstration project of sickness benefit in 2022 and to publicize its more specific blueprint for all workers. This study is to suggest basic principles and a framework to design a new sickness benefit for universal health coverage, which is based on reviews on previous studies, related issues, and institutional conditions. This is to provide a theoretical basis to promote further discussion and to support its decision-making.

• International Journal of Computer Science & Network Security
• /
• v.22 no.7
• /
• pp.43-50
• /
• 2022

Continuous development is the key of development issue in developing nations. Smart city measurement is prevalently carried through in the cities in which the nations have been classified as industrialized countries. In addition, cities in Europe becomes the models of smart city system. Smart city concept used in the cities in Europe applies six predominant features i.e. smart economic, smart mobility, smart environment, smart people, smart living, and smart governance. This paper focuses on figuring out city' development strategy in developing nations particularly Indonesia in regard with European Framework by way of Multi Expert Multi Criterion Decision Making (ME-MCDM). Recommendation is resulted from the tests using the data collected from one of the metropolis cities in Indonesia, whereby issuing recommendation must firstly implement smart education, secondly communication, thirdly smart government, and fourthly smart health, as well as simultaneously implement smart energy and smart mobility.

• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.479-486
• /
• 2009

This paper presents an integrated real-time monitoring and control framework that facilitates decision making by enabling project managers to take corrective actions right after any deviation happens and mitigate the damage to the ongoing steel projects. The proposed framework employs the High Level Architecture (HLA) as its infrastructure. It is composed of several individual monitoring and control components called "Federates," which cooperate and interact with each other through the Real-time Infrastructure (RTI). Reusability, interoperability and extendibility of federates in the proposed project control system make this a unique system.

• International journal of advanced smart convergence
• /
• v.13 no.3
• /
• pp.150-155
• /
• 2024

Genomic data plays a transformative role in medicine, biology, and forensic science, offering insights that drive advancements in clinical diagnosis, personalized medicine, and crime scene investigation. Despite its potential, the integration and analysis of diverse genomic datasets remain challenging due to compatibility issues and the specialized nature of existing tools. This paper presents the GenomeSync system, designed to overcome these limitations by utilizing the Hadoop framework for large-scale data handling and integration. GenomeSync enhances data accessibility and analysis through SQL-based search capabilities and machine learning techniques, facilitating the identification of genetic traits and the resolution of forensic cases. By pre-processing DNA profiles from crime scenes, the system calculates similarity scores to identify and aggregate related genomic data, enabling accurate prediction models and personalized treatment recommendations. GenomeSync offers greater flexibility and scalability, supporting complex analytical needs across industries. Its robust cloud-based infrastructure ensures data integrity and high performance, positioning GenomeSync as a crucial tool for reliable, data-driven decision-making in the genomic era.

• Journal of Korean Society of Transportation
• /
• v.11 no.2
• /
• pp.5-26
• /
• 1993

In order to analyze travel mode choice behavior, behavioral models including logit model, based on revealed preference theory, have been using easily measurable variables such as individual socioeconomic characteristics and physical attributes of travel modes. But some recent attitudinal models of travel choice behavior have implied that the negligence of individual psychological variables and individual choice constraints in travel mode choice might preclude better prediction of individual travel mode choice behavior. In this context, this study was attempted to reconstruct an attitudinal model(AM), especially focused on the decision rules in travel mode choice decision making process, consistent with the conceptual framework relating individual attitude and choice constraints to choice behavior. And to evaluate the strengths of the AM to other comparative models(logit, linear-additive, conjunctive, lexicographic model) in predicting travel mode choice bebavior, an empirical study of the mode choice in work-trip to CBD in Seoul was performed. According to the results the percent of correct prediction(PCP) derived from the AM was higher than those derived from comparative models by at least 7 to 20% in predicting travel mode choice. But each model produced a different prediction accuracy depending on market segmentation by travel modal users, individual socioeconomic characteristics, transportation system characteristics, and satisfaction levels. The finding that different groups divided by a certain criterion employ different decision rules supports the necessity of developing a choice model such as the AM combining compensatory and noncompensatory decision rules, and suggests that a proposed transportation system management plan or policy may have different effects on each group.

• Journal of Energy Engineering
• /
• v.8 no.4
• /
• pp.612-620
• /
• 1999

Environmental impact assessment in the step of the Life Cycle Assessment (LCA) measures relative values of importance or weight of the environmental load characterized in the inventory analysis. The weight measurements are used to evaluate the environmental load or the effect of the industrial product or technology. In this paper the Analytic Network Prpcess (ANP) is introduced to calculate a relative weighting of the environmental impact. The ANP is considered as one of the useful decision making framework and allow for more complex interrelationships, feedback, and inner/outer dependence among the decision level and factors. The weighting from the ANP may applied to obtain the overall evaluation value of environmental load.

• International Journal of Safety
• /
• v.2 no.1
• /
• pp.50-56
• /
• 2003

There are a lot of uncertainties in the severe accident phenomena and scenarios in nuclear power plants (NPPs) and one of the major issues for severe accident management is the reduction of these uncertainties. The severe accident management aid system using Probabilistic Safety Assessments (PSA) technology is developed for the management staff in order to reduce the uncertainties. The developed system includes the graphical display for plant and equipment status, previous research results by a knowledge-base technique, and the expected plant behavior using PSA. The plant model used in this paper is oriented to identify plant response and vulnerabilities via analyzing the quantified results, and to set up a framework for an accident management program based on these analysis results. Therefore the developed system may playa central role of information source for decision-making for severe accident management, and will be used as a training tool for severe accident management.

• Proceedings of the Korea Society for Simulation Conference
• /
• 2001.10a
• /
• pp.340-345
• /
• 2001

Electric power market in Japan is now on the trend of deregulation and privatization just like in Europe and the United States. And various approaches for risk management have been investigated taking the electric power price fluctuation after the deregulation into account. The behavior of the investment in power generation plants has not, however, been studied in detail yet due to the complexity of the problem. The problem of the investment in the deregulated power market is that of autonomous decentralized decision-making system, which includes various kinds of decision-makers, that is, power producers called IPPS Each generator has its own criteria for plant investment. Therefore, the total behavior of the decentralized power market will be so complicated, and normative approach will not be applicable fur this analysis. We have developed a simulation-based system fur behavioral analysis and also the framework design of the decentralized power market.

• Journal of Family Resource Management and Policy Review
• /
• v.13 no.4
• /
• pp.39-52
• /
• 2009

The purpose of this research is to introduce a new method for teaching family resource management using classroom experiments. Classroom experiments are very attractive in the sense that students are placed directly into the various environments being studied, and they enhance the effectiveness of the Socratic Method, as opposed to traditional lectures. The family resource management approach focuses on the resource allocation behavior of families in the utilization of their human and non-human resources to achieve goals. Therefore, there are many family resource decision situations to which classroom experiments may be fruitfully applied. Within this context, this research provides useful implications for applying managerial concepts of family resource management behavior in practical situations. The study results might be used to analyze an interactive framework that facilitates discussions of classroom experiments, family resource management behavior and human ecology.