• The Korean Journal of Emergency Medical Services
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• v.5 no.1
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• pp.99-107
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• 2001

Injury has now replaced disease as the biggest single cause of death in children after their first birthday. Each month one child dies from preventable, unintentional injury and the medical cost of these injury is increasing remarkably. It is necessary to develop injury prevention system to manage, evaluate and analysis the information about accident. This resource manual developed as a result of literature review of child care safety project which is based on the Kidsafe Tasmanian Division in Australia and the other resources. The purposes of this study is to; 1. Develop model to enable services to focus on injury prevention 2. Develop standardized child care injury report form 3. Develop home safety checklist 4. Development of injury prevention policies The suggestions to develop injury prevention policies : 1. detail analysis of injury occurrence 2. investigation of known intervention and their effectiveness 3. analysis of policy environment 4. development of policy on implementation of intervention 5. develop protocol and materials to develop an injury prevention focus 6. increase knowledge and awareness among staff and parents of where injuries were occurring and develop.

• Journal of Internet Computing and Services
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• v.20 no.3
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• pp.77-84
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• 2019

Workflow management system is a system that manages the workflow model which defines the process of work in reality. We can define the workflow process by sequencing jobs which is performed by the performers. Using the workflow management system, we can also analyze the flow of the process and revise it more efficiently. Many researches are focused on how to make the workflow process model more efficiently and manage it more easily. Recently, many researches use the workflow log files which are the execution history of the workflow process model performed by the workflow management system. Ourresearch group has many interests in making useful knowledge from the workflow event logs. In this paper we use XES log files because there are many data using this format. This papersuggests what are the cardinalities of the temporal workcases and how to get them from the workflow event logs. Cardinalities of the temporal workcases are the occurrence pattern of critical elements in the workflow process. We discover instance cardinalities, activity cardinalities and organizational resource cardinalities from several XES-based workflow event logs and visualize them. The instance cardinality defines the occurrence of the workflow process instances, the activity cardinality defines the occurrence of the activities and the organizational cardinality defines the occurrence of the organizational resources. From them, we expect to get many useful knowledge such as a patterns of the control flow of the process, frequently executed events, frequently working performer and etc. In further, we even expect to predict the original process model by only using the workflow event logs.

• Journal of Korean Society for Quality Management
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• v.35 no.4
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• pp.1-15
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• 2007

The purpose of this study is to evaluate the causal relationship among the MBNQA health care criteria in Korean University Hospitals. The survey instrument consists of 109 questions based on the seven MBNQA health care criteria: '1.Leadership', '2.Strategic Planning', '3.Focus on Patients Other Customers. Markets', '4.Measurement Analysis Knowledge Management', '5.Human Resource Focus', '6.Process Management', and '7.Results'. Structural Equation Modeling(SEM) is used to analyze the path coefficients among the seven categories. The results indicate that fourteen hypotheses are statistically significant, among eighteen hypotheses. Conclusively, this study found that Leadership drives systems that create Results through Foundation and Direction.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.30-30
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• 2023

This study aims to establish the multi-reservoir operation system model in the Upper Mun River Basin which includes 5 main dams namely, Mun Bon (MB), Lamchae (LC), Lam Takhong (LTK), Lam Phraphoeng (LPP), and Lower Lam Chiengkrai (LLCK) Dams. The knowledge and AI technology were applied aiming to develop innovative prototype for SMART dam-reservoir operation in future. Two different sorts of reservoir operation system model namely, Fuzzy Logic (FL) and Constraint Programming (CP) as well as the development of rainfall and reservoir inflow prediction models using Machine Learning (ML) technique were made to help specify the right amount of daily reservoir releases for the Royal Irrigation Department (RID). The model could also provide the essential information particularly for the Office of National Water Resource of Thailand (ONWR) to determine the short-term and long-term water resource management plan and strengthen water security against flood and drought in this region. The simulated results of base case scenario for reservoir operation in the Upper Mun from 2008 to 2021 indicated that in the same circumstances, FL and CP models could specify the new release schemes to increase the reservoir water storages at the beginning of dry season of approximately 125.25 and 142.20 MCM per year. This means that supplying the agricultural water to farmers in dry season could be well managed. In other words, water scarcity problem could substantially be moderated at some extent in case of incapability to control the expansion of cultivated area size properly. Moreover, using AI technology to determine the new reservoir release schemes plays important role in reducing the actual volume of water shortfall in the basin although the drought situation at LTK and LLCK Dams were still existed in some periods of time. Meanwhile, considering the predicted inflow and hydrologic factors downstream of 5 main dams by FL model and minimizing the flood volume by CP model could ensure that flood risk was considerably minimized as a result of new release schemes.

• Journal of Information Technology Application
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• v.2 no.1
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• pp.113-137
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• 2000

Even though there is no doubt that ERP(Enterprise Resource Planing) system is a prevailing solution for integrating corporate information, many companies still hesitate adopting ERP system because of a great deal of cost including maintenance cost. In special, unless consulting knowledge that is infused into process reengineering phase or adequately embedded in customized ERP system is upgraded on time, then we cannot guarantee the optimality of system performance. Hence, this paper aims to construct an ERP system that adapts itself to environmental changes that are issued by database and users. To do so, we adopt intelligent agent technology and Petri net theory. The agents autonomously cooperate each other to investigate databases and to find any exceptional changes and analyze how the changes will affect ERP performance. The dynamics of the agents are represented as Petri nets. The newly proposed ERP system is to make corresponding BPR processes maintain optimality. To show the feasibility of the proposed ERP maintenance system, logistics component is described as an illustrative example.

• Journal of Korean Library and Information Science Society
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• v.8
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• pp.155-184
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• 1981

The publication of the result of scholarly research is an integral part of the process by which learning is advanced. The university presses, as one of the major scholarly publishers are now confronted with many critical problems, such as the declining unit sales, the explosion of manuscripts, the challenge of new publishing technologies, etc., in performing the role of the scholarly communication system. The purpose of this study is to identify the problems imposed on the university presses and alternative strategies for them. For the study, the related literature to the subject were read, analyzed and synthesized, from which the overall prospect of the problems and alternative strategies are derived. The conclusion of the study can be summarized as follows: (1) The faith of the university should lie in its role to advance scholarly learning through production and dissemination of high-quality knowledge, and the university press should materialize such a faith. (2) The scholarly books, though not the best media of scholarly communication taking a side view of its timeliness and brevity, can perform the function of the best media for the specific subject and readers. (3) The scholarly books as national resource must be published for the scholars demanding them even though the publication can't help depending on the subsidiary fund. (4) For the survival and activation of the university presses, the following strategies should be examined, and put in force if necessary. (a) The role of the foundation su n.0, pporting the university presses should be expanded (b) The Co-operative system among the operations of the presses should be established. (c) It is desirable that the university without the press should participate in the university with the press for both the financial su n.0, pporting and the publicizing its faculty's manuscripts. (d) The positive efforts should be made for the increase of sales copies by implementing the dual-system of publication. (e) It is desirable that 'recording system' should be incorporated in the traditional publication system both for the lightening of financial problems and the explosion of publications. (f) It is necessary that the effective methods of the bibliographical control should be developed for the improvement of the scholarly communication. (g) Any kind of the permanent organization composed of the representatives from all the infrastructures of information industry should be established to study the character and direction of technological changes and to discern the better choice of specific, technologies in the scholarly communication system.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.5
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• pp.429-437
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• 2022

Recently, the demand for a QA (Question Answering) system for human-machine communication has increased. Among the QA systems, a closed domain QA system that can handle spatial-related questions is called GeoQA. In this study, a new type of graph database, LPG (Labeled Property Graph) was used to overcome the limitations of the RDF (Resource Description Framework) based database, which was mainly used in the GeoQA field. In addition, GraphQL (Graph Query Language), an API-type query language, is introduced to address the fact that the LPG query language is not standardized and the GeoQA system may depend on specific products. In this study, database was built so that answers could be retrieved when spatial-related questions were entered. Each data was obtained from the national spatial information portal and local data open service. The spatial relationships between each spatial objects were calculated in advance and stored in edge form. The user's questions were first converted to GraphQL through FOL (First Order Logic) format and delivered to the database through the GraphQL server. The LPG used in the experiment is Neo4j, the graph database that currently has the highest market share, and some of the built-in functions and QGIS were used for spatial calculations. As a result of building the system, it was confirmed that the user's question could be transformed, processed through the Apollo GraphQL server, and an appropriate answer could be obtained from the database.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.204-204
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• 2016

Thailand had set the National Water Management Strategy which covered main six areas in the next 12 years, i.e., by priority: (1) water for household, (2) water for agricultural and industrial production, (3) water for flood and drought management, (4) water for quality issue, (5) water from forest conservation and soil erosion protection, (6) water resources management. However due to the climate change impact, there is a question for all strategies is whether to complete this mission under future climate change. If the impact affects our target, we have to clarify how to mitigate or to adapt with it. Vulnerability assessment was conducted under the framework of ADB's (with the parameters of exposure, sensitivity and adaptive capacity) and the assessments were classified into groups due to their different characteristic and the framework of the National Water Management Strategy, i.e., water supply (rural and urban), water for development (agriculture and others), water disasters (floods (flash, overflow), drought, water quality). The assessments identified the parameters concerned and weight factors used for each groups via expert group discussions and by using GIS mapping technology, the vulnerability maps were produced. The maps were verified with present water situation data (floods, drought, water quality). From the analysis result of this water resources management strategy, we found that 30% of all projects face the big impacts, 40% with low impact, and 30% for no impact. It is clear that water-related agencies have to carefully take care approximately 70% of future projects to meet water resources management strategy. It is recommended that additional issues should be addressed to mitigate the impact from climate risk on water resource management of the country, i.e., water resources management under new risk based on development scenarios, relationship with area-based problems, priority definition by viewpoints of risk, vulnerability (impact and occurrence probability in past and future), water management system in emergency case and water reserve system, use of information, knowledge and technology in management, network cooperation and exchange of experiences, knowledge, technique for sustainable development with mitigation and adaptation, education and communication systems in risk, new impact, and emergency-reserve system. These issues will be described and discussed.

• Journal of Internet Computing and Services
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• v.2 no.1
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• pp.13-21
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• 2001

This paper studies on Multiple Ontology to share and reuse know1edge stored in every system under the Distributed Web Environment using idle resource connected the Internet. Multiple Ontology is to convert to be able know1edge sharing between ontologies constructed by one and the other. This study focuses on as follows; To compose the Distributed Web Ontology multiple system, Construction Method of the Distributed Web Environment and Composition of Multiple Ontology for Know1edge sharing and reuse. System Composed by using the jini technology has constructed extension of heterogeneous systems and effective web computing environment. Also, through 'distribution operation, practical know1edge exchange among Multiple Ontologies under the Distributed Web Environment has been processed excellently.

• Journal of the Korean Data and Information Science Society
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• v.26 no.5
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• pp.1129-1139
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• 2015

Inference process generates additional triples from knowledge represented in RDF triples of semantic web technology. Tens of million of triples as an initial big data and the additionally inferred triples become a knowledge base for applications such as QA(question&answer) system. The inference engine requires more computing resources to process the triples generated while inferencing. The additional computing resources supplied by underlying resource pool in cloud computing can shorten the execution time. This paper addresses an algorithm to allocate the number of computing nodes "elastically" at runtime on Hadoop, depending on the size of knowledge data fed. The model proposed in this paper is composed of the layered architecture: the top layer for applications, the middle layer for distributed parallel inference engine to process the triples, and lower layer for elastic Hadoop and server visualization. System algorithms and test data are analyzed and discussed in this paper. The model hast the benefit that rich legacy Hadoop applications can be run faster on this system without any modification.