• Title/Summary/Keyword: information needs analysis

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Core Demand Market by Visitor's Characteristics of Mountain Types of a National Park -focused on Demographic and Social Economical Factors- (국립공원 방문객 특성을 이용한 핵심수요시장연구 -인구통계학적 변인과 사회경제학적 변인을 중심으로-)

  • Gwak, Gang-Hee
    • The Journal of the Korea Contents Association
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    • v.13 no.7
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    • pp.361-368
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    • 2013
  • This research aims to offer the information required for demand increase on marketing strategy level by investigating Mudeungsan visitors' demographic characteristics and social economical variables. To accomplish this study, the proper analyzing model needs to be applied because a grave error of parameters will be led if regression model appropriate for analyzing the data of a continuous probability variable is applied, in case that dependent variable is a discrete random variable which have a discrete probability distribution. Therefore data analysis was performed with Poisson model. However, as the data was showing an overdispersion, parameter was estimated with the Binomial Poisson model able to cover the problem. As a result, some explanatory variables turned out to be significant such as visitor's age, occupation, preferred season to visit, type of company, five days working, and preferring type of tourism. Author could offer to the national park the information about characteristics of core market revealed and marketing strategy for it, based on those influential variables.

New Mathematical Model for Travel Route Recommendation Service (여행경로 추천 서비스를 위한 최적화 수리모형)

  • Hwang, Intae;Kim, Heungseob
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.3
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    • pp.99-106
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    • 2017
  • With the increased interest in the quality of life of modern people, the implementation of the five-day working week, the increase in traffic convenience, and the economic and social development, domestic and international travel is becoming commonplace. Furthermore, in the past, there were many cases of purchasing packaged goods of specialized travel agencies. However, as the development of the Internet improved the accessibility of information about the travel area, the tourist is changing the trend to plan the trip such as the choice of the destination. Web services have been introduced to recommend travel destinations and travel routes according to these needs of the customers. Therefore, after reviewing some of the most popular web services today, such as Stubby planner (http://www.stubbyplanner.com) and Earthtory (http://www.earthtory.com), they were supposed to be based on traditional Traveling Salesman Problems (TSPs), and the travel routes recommended by them included some practical limitations. That is, they were not considered important issues in the actual journey, such as the use of various transportation, travel expenses, the number of days, and lodging. Moreover, although to recommend travel destinations, there have been various studies such as using IoT (Internet of Things) technology and the analysis of cyberspatial Big Data on the web and SNS (Social Networking Service), there is little research to support travel routes considering the practical constraints. Therefore, this study proposes a new mathematical model for applying to travel route recommendation service, and it is verified by numerical experiments on travel to Jeju Island and trip to Europe including Germany, France and Czech Republic. It also expects to be able to provide more useful information to tourists in their travel plans through linkage with the services for recommending tourist attractions built in the Internet environment.

Developing the Forest Fire Occurrence Probability Model Using GIS and Mapping Forest Fire Risks (공간분석에 의한 산불발생확률모형 개발 및 위험지도 작성)

  • An, Sang-Hyun;Lee, Si Young;Won, Myoung Soo;Lee, Myung Bo;Shin, Young-Chul
    • Journal of the Korean Association of Geographic Information Studies
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    • v.7 no.4
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    • pp.57-64
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    • 2004
  • In order to decrease the area damaged by forest fires and to prevent the occurrence of forest fires, the forest fire danger rating system was developed to estimate forest fire risk by means of weather, topography, and forest type. Forest fires occurrence prediction needs to improve continually. Logistic regression and spatial analysis was used in developing the forest fire occurrence probability model. The forest fire danger index in accordance to the probability of forest fire occurrence was used in the classification of forest fire occurrence risk regions.

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Analysis on the Effect of Korea-China FTA in the Automobile Trade (한·중 FTA의 대중국 자동차 무역 영향 고찰)

  • Lee, Seoung Taek;Kim, Sungkuk
    • International Commerce and Information Review
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    • v.17 no.1
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    • pp.265-285
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    • 2015
  • After the establishment of WTO for strengthening of GATT in 1995, the world economy has gradually been integrating toward economic globalisation. Even though this multilateral agreement may be beneficial to many countries but it also interferes domestic policies of member countries and threatens the role of local government and policy independence. For these reasons, FTA between countries or regions has been increasing. According to this trend, Korea and China has reached a substantial agreement of Korea-China FTA for mutual benefits. In general, the Korean automobile industry will benefit from Korea-China FTA due to its competitiveness in the global market and improvement of market access. However in the provisional schedule of concessions and commitment reported by press, the automobile seems to be excluded in this schedule of concessions. Hence, Korean automobile industry can not use the price competitiveness from tariff elimination. Therefore, Korean automobile industry needs aggressive marketing strategies for enhancement of brand equity as well as development of environment-friendly cars for following environment policies of Chinese government. Furthermore, they should make efforts to create the efficient investment environment by the removal of non-tariff barriers.

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Scalable Cluster Overlay Source Routing Protocol (확장성을 갖는 클러스터 기반의 라우팅 프로토콜)

  • Jang, Kwang-Soo;Yang, Hyo-Sik
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.3
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    • pp.83-89
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    • 2010
  • Scalable routing is one of the key challenges in designing and operating large scale MANETs. Performance of routing protocols proposed so far is only guaranteed under various limitation, i.e., dependent of the number of nodes in the network or needs the location information of destination node. Due to the dependency to the number of nodes in the network, as the number of nodes increases the performance of previous routing protocols degrade dramatically. We propose Cluster Overlay Dynamic Source Routing (CODSR) protocol. We conduct performance analysis by means of computer simulation under various conditions - diameter scaling and density scaling. Developed algorithm outperforms the DSR algorithm, e.g., more than 90% improvement as for the normalized routing load. Operation of CODSR is very simple and we show that the message and time complexity of CODSR is independent of the number of nodes in the network which makes CODSR highly scalable.

An Analysis Study on the Operation Status of the Korean Children's Library Cultural Programs (어린이도서관 문화프로그램 유형별 현황 및 운영실태 분석 연구)

  • Kang, Jung A;Noh, Younghee
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.29 no.1
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    • pp.99-124
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    • 2018
  • This study examines the actual operation status of the Korean children's library cultural program and analyzes the service type and operation status. Through this, it seeks the direction of cultural programs that can accommodate the needs of the users and establish the identity of the library. This study analyzes 856 kinds of cultural programs found on the homepage of 48 children's libraries in Korea. It was found that the lecture type programs for elementary school students were operated the most. In addition, most of the students participated one to three times during the lower grades of elementary school by their parents' recommendation. The satisfaction level of experiential cultural programs was the highest.

Analysis of Jamming Interference Characteristics in Nonlinear DRT Satellite Transponder System (비선형 DRT 위성 중계시스템의 재밍 간섭 특성 분석)

  • 이동형;유흥균;김기근;최영균
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.8B
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    • pp.1341-1347
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    • 2000
  • For the DRT satellite transponder system, BER and total SNR to be required in the earth terminal are evaluated under the condition of HPA nonlinearity in the FBJ(full-band jamming) or PBJ(partial-band jamming) of uplink and downlink. In case that the satellite Inter bandwidth( Ws) is same to the earth terminal bandwidth($W_r$),in conditions of uplink JSR 10[dB], downlink JSR 10[dB] and processing gain 30[dB], linear transponder system shows that uplink SNR needs to be 14.2[dB] to achieve the total SNR 10[dB] requirement in downlink SNR 14[dB]. However, Nonlinear transponder system with OBO(output backoff) 2[dB] requires 20.1 [dB] uplink SNR. From the above results, the nonlinearity of HPA in the satellite transponder causes the degradation of BER performance so that it is of interest to consider the power increase.

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A Reranking Method Using Query Expansion and PageRank Check (페이지 랭크지수와 질의 확장을 이용한 재랭킹 방법)

  • Kim, Tae-Hwan;Jeon, Ho-Chul;Choi, Joong-Min
    • The KIPS Transactions:PartB
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    • v.18B no.4
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    • pp.231-240
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    • 2011
  • Many search algorithms have been implemented by many researchers on the world wide web. One of the best algorithms is Google using PageRank technology. PageRank approach computes the number of inlink of each documents then ranks documents in the order of inlink members. But it is difficult to find the results that user needs, because this method find documents not valueable for a person but valueable for the public. To solve this problem, We use the WordNet for analysis of the user's query history. This paper proposes a personalized search engine using the user's query history and PageRank Check. We compared the performance of the proposed approaches with google search results in the top 30. As a result, the average of the r-precision for the proposed approaches is about 60% and it is better as about 14%.

A case study on the economic feasibility of different patterns of green care and healing complexes

  • Koo, Seungmo;Kim, Dae Sik;Koo, Hee Dong;Lee, Han Joon;Park, Bum Jin;Kim, Kyoung-Chan
    • Korean Journal of Agricultural Science
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    • v.44 no.3
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    • pp.451-461
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    • 2017
  • Korean agriculture has recently focused on the 6th dimension of industrialization, which includes the functions of healing and care. The green care and healing business is one of the most representative models, satisfying modern consumers' needs for care or healing in rural agricultural environments. Many studies have shown physical and social benefits from green care and healing, but studies regarding economic performance are rarely found. The present study aimed to analyze the economic feasibility of different green care and healing farm complexes proposed in recent domestic research, with various possible combinations of business scenarios. The results show that most of the scenarios are economically feasible as B/C (benefit-cost ratio) and IRR (internal rate of return) are 1.19 and 8.53%, respectively, under scenario 1. This study also performed a break-even analysis for providing more flexible decision-making information. Overall, scenario 1 from green care and healing site and scenario 4 from green care and healing cluster are found to be superior to the other scenarios in terms of B/C and IRR. The scenarios in this study reflect the domestic farms or complexes which have similar functions of care or healing. Therefore, the results of this study provide information on practical policies and business implications in making decisions on the specific size and operational patterns when adopting green care and healing complexes by central or local governments and private sectors in the future.

The Recommendation System based on Staged Clustering for Leveled Programming Education (수준별 프로그래밍 교육을 위한 단계별 클러스터링 기반 추천시스템)

  • Kim, Kyung-Ah;Moon, Nam-Mee
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.8
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    • pp.51-58
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    • 2010
  • Programming education needs learning which is adjusted individual learners' level of their learning abilities. Recommendation system is one way of implementing personalized service. In this research, we propose recommendation method which learning items are recommended for individual learners' learning in web-based programming education environment by. Our proposed system for leveled programming education provides appropriate programming problems for a certain learner in his learning level and learning scope employing collaborative filtering method using learners' profile of their level and correlation profile between learning topics. As a result, it resolves a problem that providing appropriate programming problems in learner's level, and we get a result that improving leaner's programming ability. Furthermore, when we compared our proposed method and original collaborative filtering method, our proposed method provides the ways to solve the scalability which is one of the limitations in recommendation systems by improving recommendation performance and reducing analysis time.