• Journal of Information Technology Services
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• v.11 no.1
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• pp.155-171
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• 2012

With the continuous and outstanding development of information technology(IT), human being is coming to the new computing era which is called cloud computing. This era brings lots of huge benefits also at the same time release the resources of IT infrastructure and data boom for man. In the future no longer, most of IT service providers, enterprises, organizations and systems will adopt this new computing model. There are three main deployment models in cloud computing including public cloud, private cloud and hybrid cloud; each one also has its own cons and pros. While implementing any kind of cloud services, customers have to choose one of three above deployment models. Thus, our paper aims to represent a practical framework to help the adopter select which one will be the best suitable deployment model for their requirements by evaluating each model comprehensively. The framework is built by applying the analytic hierarchy process(AHP), namely benefit-cost-opportunity-risk(BCOR) model as a powerful and effective tool to serve the problem. The gained results hope not only to provide useful information for the readers but also to contribute valuable knowledge to this new area. In addition, it might support the practitioners' effective decision making process in case they meet the same issue and have a positive influence on the increase of right decision for the organization.

• Journal of the military operations research society of Korea
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• v.34 no.3
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• pp.93-105
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• 2008

Recently, mental patients are increasing by secondary gain, that is, purpose for avoiding a military service as the social prejudice about mental disease decreases. In particular, it is unique diagnostic tool to a patient's subjective symptoms complaint and a doctor's special judgment, in occasion of psychiatry problem that an objective diagnostic tool does not exist. In this paper, we provide an objective basis to help in a quick decision-making of discharging from military service using the datamining, that analyzes mental patient's prescription to find a special rule. Therefore, we propose the decision support system of discharging from service using the analysis of mental patient's prescription.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.24 no.2
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• pp.115-126
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• 2021

Strategic Environmental Impact Assessment (SEA) is a decision-making process taking into account the environmental impact, economic and social impact of policies, plans, and programs at the higher stage prior to the project plan for promoting sustainable development. In this study, we analyzed the process and criteria for selecting appropriate alternatives when establishing development plan in SEA. First, the criteria for estimating changes in ecosystem services following the implementation of development project of industrial complex were presented. Second, alternative evaluations were conducted through an analysis of ecosystem service scenarios to explore suitable alternatives in Anseong. As a result, the environmental quality of selected area as the existing project site deteriorated according to the implementation of the project, and the dimensional reduction technique confirmed that the change in ecosystem service factors in project area was the optimal location. In addition, the results of the scenario assessment to explore suitable alternatives in Anseong City showed that the existing site had large capacity in terms of water quality control services (scenario 1), scenario 2 in terms of preconditioning services, and scenario 3 in terms of water supply services. The guidance of Ecosystem service assessment is expected to be available in decision-making of large-scale strategies (e.g., SEA) and projects by presenting more quantitative criteria for determining the adequacy and location feasibility of development plans and policy plans. This is expected to require various support, including legislation and revision of related laws, believed to be supported by advanced research.

• Spatial Information Research
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• v.17 no.2
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• pp.159-169
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• 2009

As public participation in the community issues have expanded, an urban planning paradigm has been changed to the planning with public participation. The role of GIS also expanded to support decision making process for the public in addition to supporting that of decision-makers. Residential Environment Improvement, which is the improvement method of an undeveloped urban area, is to regenerate a community based on public participation. However, the current process of public participation is formal. Therefore the purpose of this study is to lead the public a positive participation in Residential Environment Improvement using GIS. We proposed a web_based PPGIS model including project information service, public opinion expression service, two-way communication service and GIS services, and developed a prototype. This model can be a useful tool to make decision makers, experts and the public share their ideas and communicate each other, and to increase the public participation in planning process.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.395-401
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• 2014

As social network service becomes common, the consumers use many discount coupons with which they can purchase goods via social commerce. Although, the quantities of coupons offered from social commerce are currently on the sharp increase, customized coupon service that reflects user preference is not offered. This paper proposes a coupon service method reflecting user's subjective inclination targeting food coupons to offer customized coupon service for social commerce. Towards this end, this paper conducts hierarchization of the factors that become standard in selecting coupons including food types, food prices, discount rates and the number of buyers. And then, this study classifies, extracts and offers the coupons using Fuzzy-AHP, a decision making support method that reflects subjective inclination. From the user satisfaction results on the extracted coupons, the users are generally satisfied: very satisfactory with 45%, satisfactory with 33% and fair with 22%, and there was no experiment participant, who was dissatisfied.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.194-203
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• 2019

Recently, it is emphasized that the approach towards the development of smart cities as a driving force of sustainable economic growth of the city. Governments and municipalities are expected to expand the support for the smart city industry promotion, as the needs for smart city technology and service development, and investment for smart city industry increases. In order to promote the smart city policy as the driving force for the growth, it is necessary to understand the tendency of service development and its application. Governments and municipalities need a credible reference for their decision making on which smart city policy should be prioritized for the revitalization of the local economy by deploying certain smart city services according to the local industrial conditions. This study will analyze the trends of smart city services and suggest a reference data for decision making for the promotion of smart city industry.

• Journal of Korean Society for Quality Management
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• v.39 no.2
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• pp.217-233
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• 2011

This paper introduces service failure management on internet shopping environment. The purpose of this study is to find and improve service failure modes at the time of customer's complaint thereby reducing that. To achieve this purpose, this study combines the Service Blueprint which describes the online shopping process and FMEA which finds each encounter of service failures and proposes how to recover them. First of all this study generates internet shopping process using Service Blueprint then matches customer's purchase decision making process and company's service provide process. After this process customer complaint types in real purchasing process are fell in according to their occurrence and more frequently occurred complaint is more risky. Finally 6 Risk Priority Numbers(unfair exchange/return policies, slow response/poor customer service support, purchase arrived later than promised/deliverly service dissatisfaction, dissatisfaction short period to take back/exchange/cancels order, A/S or handle defective item) are extracted and suggest their improvement.

• Journal of Information Technology Applications and Management
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• v.15 no.1
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• pp.183-202
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• 2008

The introduction of a ubiquitous environment has realized commercial ubiquitous services in various industrial fields and government area. The central and/or local governments are demanding an appropriate investment evaluation model for ubiquitous service. Thus, this study develops and suggests an evaluation model for ubiquitous service by reflecting its characteristic of promoting public good, as well as its broad ripple effect on people. The investment evaluation model for ubiquitous service suggested by this study is based on Cost Benefit Analysis Method. Especially, the 'Benefit' is analyzed in two aspects; 'Economic Benefit', which shows the benefit that ubiquitous service providers to the overall local economy, and; 'Financial Benefit', which shows the profit of individual investors participating in the introduction of ubiquitous service. The investment evaluation model for ubiquitous service suggested by this study can be used by the central and/or local government during their evaluation for investment before introducing a ubiquitous service. Also, when introducing a ubiquitous service in public field, the model can be used to support the decision making of private businesses for investment. Finally, it can be used to promote and inform the expected benefits of introducing a ubiquitous service to local residents.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.85-97
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• 2021

In this paper, in order to support rapid and effective decision-making and response in disaster situations, we identified the author's organization of academic research papers and conducted a collaborative relationship analysis study based on this. For this purpose, 2,308 papers in 69 Korean academic journals classified by disaster and safety type were selected for analysis and experimental data were constructed based on the Korea Science Citation Database (KSCD) and institutional identification data provided by KISTI. Collaborative relationship analysis was conducted for each of the four units (Institution, Institution type, Institution region and University department type). First, statistical status such as frequency of appearance was compared, and basic properties and main centrality index of each co-occurrence network were calculated and analyzed using Social Network Analysis Method. In addition, a visualization map was created and presented for each network so that the collaborative relationship could be viewed and understood as a whole. The results of this study are expected to contribute to the search activities of institutions and cooperative groups that support effective disaster response and to lay the foundation for the information service system.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.14 no.4
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• pp.288-294
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• 2014

Understanding a ship's present position has been one of the most important tasks during a ship's voyage, in both ancient and modern times. Particularly, a ship's dead reckoning (DR) has been used for predicting traffic situations and collision avoidance actions. However, the current system that uses the traditional method of calculating DR employs the received position and speed data only. Therefore, it is not applicable for predicting navigation within the harbor limits, owing to the frequent changes in the ship's course and speed in this region. In this study, planned routes were applied for improving the reliability of the proposed system and predicting the traffic patterns in advance. The proposed method of determining the dead reckoning position (DRP) uses not only the ships' received data but also the navigational patterns and tracking data in harbor limits. The Mercator sailing formulas were used for calculating the ships' DRPs and planned routes. The data on the traffic patterns were collected from the automatic identification system and analyzed using MATLAB. Two randomly chosen ships were analyzed for simulating their tracks and comparing the DR method during the timeframes of the ships' movement. The proposed method of calculating DR, combined with the information on planned routes and DRPs, is expected to contribute towards improving the decision-making abilities of operators.