• Journal of Information Technology Applications and Management
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• v.11 no.4
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• pp.133-145
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• 2004

The two main purposes of this paper are to 1) investigate critical components of university information systems for information resources management, 2) develop a comprehensive framework model of university information systems for e-Business Era. Through a literature review and by employing group decision making techniques with managers of K University, critical components for developing university information systems were identified. The critical components of university information systems are 1) academic affaires. 2) general administration. (3) research administration. (4) information services. (5) management support, (6) cyber education. (7) knowledge management, (8) e-library. (9) mobile service. and (10) IT infrastructures. In the second stage. by employing IT experts in K University and other institutes. a comprehensive framework of university information systems for e-Business era was developed. The comprehensive framework shows that major components for university information resources management are (1) information infrastructure. (2) common operating environments. (3) applications/information services. The results of this study expect to help managers. who are in charge of university information systems. plan to develop information systems based on the framework proposed in this paper.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.16 no.2
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• pp.115-125
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• 2013

In this research, a habitat model for Chinemys reevesii is suggested based on the components and variables of the Habitat Suitability Index which was determined through a series of literature researches, site surveys, and behavioral analysis. After reviewing the general habitat requirements, the site surveys(9 reservoirs) from July to December 2010, and the behavioral analysis of five Chinemys reevesii, the relationship between the behavioral and habitat use pattern was evaluated. According to the site surveys and behavioral analysis, the ecological core area(FK 50%) was about 0.96ha on average, the influence area(FK 90%) 4.22ha, and the home range was about $37.75{\pm}17.26m$ on average. As for the habitat use pattern of Chinemys reevesii, it travels through canals, and is influenced by the surrounding land uses. Also when there is a lack of food, the home range increases, and during hibernation, Chinemys reevesii prefers to be in an area within 1~2m range of water shores of fine textured soil and aquatic plants. After analyzing the information, the HSI standard was set and its components were determined as food, sunbathing and cover, aquatic environment, and spatial relationships. And the variables and the ranges of the components was determined as aquatic plant cover(0~49.81%), sandy area($3{\sim}13m^2$) and water velocity(0~60cm/s) etc. Lastly, plans and sections of the habitat model is provided designed according to the information from the researches, and problems to consider during habitat restoration was suggested in order to help understand about Chinemys reevesii habitat.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.3
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• pp.125-138
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• 2016

The service identification in service-oriented developments has been conducted by based on workflow, goals, scenarios, usecases, components, features, and patterns. However, the identification of service by semantic approach at the business value view was not detailed yet. In order to enhance accuracy of identifying business service, this paper proposes a method for identifying business service by analyzing syntax and semantics in XL-BPMN model. The business processes based on business scenario are identified, and they are designed in a XL-BPMN business process model. In this business process model, an unit business service is identified through binding closely related activities by the integrated analysis result of syntax patterns and properties-based semantic similarities between activities. The method through XL-BPMN model at upper business levels can identify the reusable unit business service with high accuracy and modularity. It also can accelerate more service-oriented developments by reusing identified services.

• Journal of the Korea Society for Simulation
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• v.7 no.2
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• pp.33-43
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• 1998

To evaluate the server performance and forecast capacity requirements, we carry out simulation of Multimedia-on-demand(MOD) server. In multimedia service environment, especially for on-demand service, one of the key problems is capacity planning, which requires ensuring that adequate computer resources will be available to meet the future workload demands in a cost-effective manner. In this paper, we design and implement a simulation model for MOD server with failures of components (e.g., processors, disks and networks). By acquisition of utilization and queue length parameters, we can estimate desirable capacity of server components with various arrival rates of customers and failure rates of components. For a given failure probability, we also compute packet delay probability and reliability of the server. It is possible to derive some important design information of the MOD server by using the above parameters.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.710-713
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• 2004

There have been numerous research and development efforts to automate business processes or execute business processes automatically. Especially, Web service is considered to be one of the most promising technologies. Existing Web service composition languages such as BPEL (Business Process Execution Language) and BPML (Business Process Modeling Language) do not provide full semantic support for business processes. This paper proposes a 3-layer model that consists of business process layer and service layer which can seamlessly integrates business process semantics with service semantics. The proposed model and architecture will enable effective management of business processes as well-defined corporate assets, services that execute tasks to achieve goals of business processes, and software components that comprise services.

• Analytical Science and Technology
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• v.34 no.5
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• pp.231-239
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• 2021

Detection of fire accelerants from fire residues is critical to determine whether the case was arson or accidental fire. However, to develop a standardized model for determining the presence or absence of fire accelerants was not easy because of high temperature which cause disappearance or combustion of components of fire accelerants. In this study, logistic regression, random forest, and support vector machine models were trained and evaluated from a total of 728 GC-MS analysis data obtained from actual fire residues. Mean classification accuracies of the three models were 63 %, 81 %, and 84 %, respectively, and in particular, mean AU-PR values of the three models were evaluated as 0.68, 0.86, and 0.86, respectively, showing fine performances of random forest and support vector machine models.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.1
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• pp.247-278
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• 2015

The aim of this study was to develop a policy information mentoring management model through which professional information, knowledge, and ideas can be shared and consulted. To this end, we analyzed domestic and international related literature, case studies of domestic and international mentoring programs, and expert advice from the policy consumers and current policy mentors in the field of policy information. In this research, components of a policy information mentoring management model have been proposed by separating them into human and content components. Mentor-mentee coordination, and supervisors are proposed as human components. Policy mentoring subject areas, programs, and detailed activities are proposed as content components.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.8
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• pp.1023-1028
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• 2010

Recently, an intelligent service robot is being developed for use in guiding and providing information to visitors about the building at public institutions. The intelligent robot has a sensor at the bottom to recognize its location. Four wheels, which are arranged in the form of a lozenge, support the robot. This robot cannot be operated on uneven ground because its driving parts are attached to its main body that contains the important internal components. Continuous impact with the ground can change the precise positions of the components and weaken the connection between each structural part. In this paper, the design of the suspension system for such a robot is described. The dynamic model of the robot is created, and the driving characteristics of the robot with the designed suspension system are simulated. Additionally, the suspension system is optimized to reduce the impact for the robot components.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.197-207
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• 2022

The Naval Combat System operates in multiple software components for efficient functional processing. Data transmission and reception between components is performed in real time using DDS(Data Distribution Service). Reliable Post-Analysis requires the collection of all DDS messages. However, Software workload and development costs increase because common functions for all messages must be developed directly. In the paper, We propose an improved Post-Analysis based on the Feature Model and a new development system using it. Functions for the modified message were applied as variable domains of the Feature Model. When Build Center updates Post-Analysis, it automatically processes all software tasks associated with Post-Analysis. The proposed development system simplified the overall work procedure, and work time was significantly reduced compared to the existing development system.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.04a
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• pp.321-332
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• 2004

The purpose of this research is to introduce the concept of "relationship formation factors" in inter-firm relations and to empirically demonstrate that they are effective in improving the relationship results by means of anmediating variable. Therefore, the basic model of this study consists of the independent, mediating, and dependent variables. First, the independent variable, that is, the relationship formation factors, is further classified into three components： transactional, relational, environmental characteristics. Then, the study empirically examines how each of the three components influences the dependent variable, that is, the business performance(Load Factor), by way of the mediating variables, that is, trust and relationship commitment.