• Journal of Digital Convergence
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• v.11 no.3
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• pp.345-352
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• 2013

The demand and production for mobile music increases as the number of smart phone users increase. Thus, the standard of selection of a user's preferred music has gotten more diverse and complicated as the range of popular music has gotten wider. Research to find intelligent techniques to ingeniously recommend music on user preferences under mobile environment is actively being conducted. However, existing music recommendation systems do not consider and reflect users' preferences due to recommendations simply employing users' listening log. This paper suggests a personalized music-recommending system that well reflects users' preferences. Using AHP, it is possible to identify the musical preferences of every user. The user feedback based on the Bayesian network was applied to reflect continuous user's preference. The experiment was carried out among 12 participants (four groups with three persons for each group), resulting in a 87.5% satisfaction level.

• Journal of Digital Convergence
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• v.13 no.4
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• pp.227-233
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• 2015

The recent health care is growing rapidly want to receive offers users a variety of medical services, can be exploited easily exposed to a third party information on the role of the patient's hospital staff (doctors, nurses, pharmacists, etc.) depending on the patient clearly may have to be classified. In this paper, in order to ensure safe use by third parties in the health care environment, classify the attributes of patient information and patient privacy protection technique using hierarchical multi-property rights proposed to classify information according to the role of patient hospital officials The. Hospital patients and to prevent the proposed method is represented by a mathematical model, the information (the data consumer, time, sensor, an object, duty, and the delegation circumstances, and so on) the privacy attribute of a patient from being exploited illegally patient information from a third party the prevention of the leakage of the privacy information of the patient in synchronization with the attribute information between the parties.

• Korean Business Review
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• v.12
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• pp.239-254
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• 1999

There has been a lot of researches on the major motivation of consumer's choice for airlines. Due to the competition in airline industries, most of airlines offer a various level of benefits to customers such as a frequent traveller bonus, a schedule, services in flight including a meal and an entertainment program, a discounted fare and an intangible part of personal service. However, it is very difficult to measure the performance of the customers' benefit and to identify the weight of each factor being considered on the airline choice. In this paper, we focus on the airline choice process for the business travellers. The AHP is applied to evaluate the factors reflecting the business travellers' choice for airlines. This study will be useful to build a marketing plan for the business traveller's market.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.1
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• pp.335-340
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• 2010

In accordance with the increasing possibility that the new and reoccurring epidemics continuously appearing abroad flow into Korea, it is very important to evaluate the efficiency of quarantine management projects of National Quarantine Station. This study adopted the pairwise comparison approach using the analytical hierarchy process(AHP) that has been recognized with its scientific adequacy for allocating the weight, the relative importance of evaluation components. AHP technique is evaluated to be distinguished in measuring the impact by making hierarchy of, simplifying and systemizing the complicated multi-criteria decision making problems. The weights by evaluation indexes were 0.2 in the organization evaluation field and 0.8 in the service and program field. The quarantine business showed the highest value, 0.45, in the service and program field. The indexes were classified into the upper category (organization evaluation field, service and program evaluation field) and lower category (input/process/result/quarantine field, inspection field, hygiene management field, pathogenic organ investigation and monitoring field, epidemics prevention promotion/education field). The evaluation indexes that were finally selected were applied to the actual businesses in National Quarantine Station. Next, the minimum evaluation indexes were selected and so the evaluation system on the businesses in National Quarantine Station was more systemized.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.2
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• pp.138-151
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• 2012

This study determines a consumer retail store choice by applying the Analytic Hierarchy Process (AHP) method for multi-criteria decision-making in the fashion retail industry. The study provides detailed and relevant information for management, marketers of fashion retail stores, and to improve competition between suppliers. Data was collected in February 2011 from questionnaires completed by 319 university students in Busan, South Korea. One of the major findings of this study was that consumer store preference was affected by the following factors in order of importance: product, image, service quality, and purchase facilitation. Brand image was assessed to be the most important of the evaluation elements, followed by individuality, style, and price. The results of rating the relative importance and priority of fashion retailers showed that department stores ranked most highly, followed by outlet malls, Internet shopping malls, brand malls, and discount stores.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.119-119
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• 2022

인위적, 자연적 요인에 의한 물순환 왜곡과 물순환 건전성 저하는 이수, 치수, 환경 등 다양한 물 관리 분야의 문제를 일으키고 있다. 이에 건전한 유역 물순환 관리에 관한 사회적 요구가 증대되고 있다. 유역의 물순환 관리를 위해서는 유역 전반의 물 이동과 물 이용에 관한 정량적인 평가가 선행되어야 하고, 유역의 물순환 건전성을 평가할 수 있는 체계가 필요하다. 이 연구에서 물순환 정량화를 위해 자연계 및 인공계 물순환 요소를 반영한 유역 유출 모형을 구축하였고, 관측 자료와 모형을 통해 분석된 결과를 이용하여 물순환을 정량화하였다. 한편, 물순환 건전성 평가를 위해 물환경, 물이용, 물안전의 3가지 범주 내에 수질 관리, 비점오염 관리, 수생태 관리, 하천유지기능, 지하수 보전, 치수 관리, 이수 관리의 7가지 항목에 대한 건전성을 평가할 수 있는 평가지표와 기준을 제시하였다. 그리고 계층 분석적 의사결정 기법에 따른 가중치를 이용하여 7개의 평가항목을 종합한 물순환 건전성 지수(hydrologic soundness index; HSI)를 도입하였다. 구성된 물순환 정량화 및 건전성 평가체계를 경안천과 남강, 미호천, 황룡강 중권역에 적용하여 중권역별로 필요한 물순환 개선 사업과 투자 우선순위가 높은 표준유역을 식별하였다. 이 연구에서 제시한 물순환 정량화 및 건전성 평가체계는 유역의 다양한 물 문제를 객관적으로 진단하는 한 가지 방편으로서, 유역의 물 문제 해결을 위한 기술적 정보 제공에 이바지할 수 있다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.11a
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• pp.261-262
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• 2018

The tasks of Vessel Traffic Services are classified according to the content of the information provided. Since the establishment of the first Vessel Traffic Service center in 1993 at Phohang harbour, it has been steadily developed and its work domain and scope have been expanded. In this paper, the importance and workload of Vessel Traffic Service operators were analyzed according to classification of the tasks. In order to measure the importance and workload, questionnaires were conducted for the operators nationwide, and conclusions were drawn using the multi-criteria decision making process. The relationship between the importance of tasks and the workload might be used as the weights for setting the service areas in the future. Furthermore, it is expected to be used as the data of changable sector operation based on the relationship between importance and workload.

• Journal of Intelligence and Information Systems
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• v.8 no.2
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• pp.139-157
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• 2002

The rapid growth of e-commerce has made both companies and customers face a new situation. Whereas companies have become to be harder to survive due to more and more competitions, the opportunity for customers to choose among more and more products has increased. So, the recommender systems that recommend suitable products to the customer have an important position in E-commerce. This research introduces collaborative filtering based recommender system which helps customers find the products they would like to purchase by producing a list of top-N recommended products. The suggested methodology is based on decision tree, product taxonomy, and association rule mining. Decision tree is used to select target customers, who have high possibility of purchasing recommended products. We applied the recommender system to a Korean department store. The methodology is evaluated with the analysis of a real department store case and is compared with other methodologies.

• Journal of Service Research and Studies
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• v.3 no.2
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• pp.53-60
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• 2013

Datamining from the large data in the form of various techniques for obtaining information have been developed. In recent years one of the most sought areas of pattern recognition and machine learning method is created with most of existing learning algorithms based on categorical attributes to a rule or decision model. However, the real-world data, it may consist of numeric attributes in many cases. In addition it contains attributes with numerical values to the normal categorical attribute. In this case, therefore, it is required processes in order to use the data to learn an appropriate value for the type attribute. In this paper, the domain of the numeric attributes are divided into several segments using learning algorithm techniques of discritization. It is described Clustering with other data mining techniques. Large amount of first cluster with characteristics is similar records from the database into smaller groups that split multiple given finite patterns in the pattern space. It is close to each other of a set of patterns that together make up a bunch. Among the set without specifying a particular category in a given data by extracting a pattern. It will be described similar grouping of data clustering technique to classify the data.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.2
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• pp.447-453
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• 2015

This study proposed evaluation indices and weights for objectively evaluating the validity of rail station area development site. In this study, evaluation indices were selected by quantification, application of a new rail station, sustainability of data collection, correlation of indices and expert decision-making. As a result, 8 indices such as railway and subway demand, the ratio of land price etc. were selected and these indices could be classified into demand, feasibility and regionality. AHP (Analytic Hierarchy Process) result showed that the weights of demand (0.486) and feasibility (0.369) were more important than that of regionality (0.145). The application result on 75 existing railway stations showed that an important consideration of railway station area development site was a rail and subway demand on Seoul metropolitan area and was a feasibility on local area. Therefore, the selection of a rail station area development site may be determined based on demand and feasibility. In addition, these results are expected to be utilized as basic data for making decisions on the rail station area development at an initial stage.