• 한국측량학회지
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• 제25권3호
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• pp.191-198
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• 2007

현재 남한의 해안선 길이는 일제시대 측량한 자료에 의하면 육지해안과 도서해안을 합하여 총연장이 약 11,542km에 달하는 것으로 알려져 있다. 해안선에 대한 정확한 자료를 얻기 위해 현지측량으로 이를 수정 갱신하게 되면 엄청난 예산과 시간이 소요될 것으로 추정되고 있다. 아울러, 공유수면 매립과 간척사업 및 신항만 건설 등 크고 작은 각종 개발사업으로 인해 연안해역과 해안선이 수시로 변화되어 연안해역도의 갱신작업이 빈번해지고 있어 현지측량에 대한 대안이 필요하다. 본 논문에서는 연구대상의 지역적 범위를 부산근교로 한정하여 일정 간격의 항공사진, 위성영상 자료 및 CPS 측량결과를 이용하여 이 일대의 송정 해운대 광안리 송도 다대포 연안해역에 대한 변화량을 분석하였다. 연구내용으로는 연안지역에 대하여 항공사진과 위성영상, 그리고 RTK-GPS 측량을 통한 정성적 분석과 시계열적 변화량을 분석하고자 한다.

• 지역연구
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• 제36권1호
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• pp.51-67
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• 2020

본 연구는 건축물대장, 주민등록대장 등 공공빅데이터의 활용성을 탐구하기 위해, 비교적 간단한 구조를 가진 맨큐-와일(MW)모형을 활용해 1인당 주거면적 추정을 시도하였다. 그 결과 공공빅데이터를 활용하여 정기조사 방식에 버금가는 모형을 수립할 수 있고, 기존 정기조사 방식으로는 어려웠던 기초자치단체별 모형수립도 가능함을 확인할 수 있었다. 공공빅데이터로부터 일반단독주택과 다세대주택 샘플을 판별하는 과정을 설계하여, 10세 연령대별 1인당 주거면적을 추정하고, 인구주택총조사, 주거실태조사 등 기존 정기조사 자료를 활용한 결과와 비교해 일치시킨 후, 서울시 25개 자치구별 1인당 주거면적을 도출하였다. 공공빅데이터는 지식영역을 확장시켜주는 장점이 있지만 본래의 작성의도와 다른 목적으로 생성된 자료를 활용한다는 점에서 근본적 한계는 존재한다. 또 개인정보 접근이라는 어려운 과정은 분석을 보다 신중히 진행해야 하는 부담을 주고, 비식별화를 거친 자료를 분석함에 따라 연구설계가 어려워지는 문제도 있다. 향후 공공빅데이터가 기존 통계조사를 보완하거나 대체할 수도 있도록 가공하는 방법 등에 대한 꾸준한 연구가 필요할 것으로 보인다.

• 한국지역사회생활과학회지
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• 제24권4호
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• pp.553-565
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• 2013

The purpose of this study is to segment urban farming patterns and analyse the preference on urban farming by applying two-step cluster analysis, chi-square analysis and ANOVA. The data was collected by face-to-face surveys on 9 urban farms which were chosen by location and operator. Respondents were asked to describe their urban farming pattern, preference on urban farming and socio-demographic characteristics. Three different clusters were derived from two-step cluster analysis based on operator, transportation, number of visits per month, travel time, area and motive. They were 'hobby-oriented farming', 'producing-oriented farming', and 'multipurpose farming'. The results of chi-square analysis showed that there were significant differences among these three segmented groups in terms of age, with or without children aged under 14, household income per month and housing type. In other words, there is quite a possibility that urbanites have different urban farming patterns according to their socio-demographic profiles. Also, there were significant differences on the preference on urban farming by cluster. According to the results, planning directions of urban farming were presented.

• Journal of Korea Trade
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• 제24권5호
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• pp.55-70
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• 2020

Purpose - This paper aims to examines the various factors influencing the purchase decisions of Malaysian consumers for halal food and based on this analysis, to present some measures by which Korea's food industry could expand exports to the Malaysian market. Design/methodology - This research used SPSS 12.0 for descriptive analysis, ANOVA, t-tests, factor analysis, cluster analysis, and reliability analysis based on a total of 571 responses were included as the final data in the 600 surveys administered. Findings - Malaysian consumers had high trust and confidence in products that had obtained halal certifications. This reflects the cultural situation where 61% of the Malaysian population consist of Muslims. In terms of the consumption of Korean foods, items such as ramyeon, confectionery, and kimchi were found to enjoy high awareness and strong preference among local consumers, thus suggesting their competitiveness. Originality/value - This paper attempts to examine consumer characteristics - an aspect that had received insufficient treatment in previous studies on halal certifications in Muslim countries. This study found the purchase practices and influencing factors behind Malaysian consumers' purchases of imported foods and Korean foods. Therefore, it is expected that this result can give Korean food industry an insights and strategies for exporting Korean food to Malaysia.

• 유통과학연구
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• 제13권5호
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• pp.45-52
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• 2015

Purpose - Augmented reality (AR) content used in mobile media today can accommodate a wide variety of contextual information. This indicates that making people experience a sense of presence and flow is a very significant factor in augmented reality content. Flow represents a rich immersion potential as representing the progress of emotion and the means to facilitate the operation of the smart phone. Therefore, users will have friendly relational continuance behavior with products and brands that supply this experience. Based on that, the purpose of this study is to investigate the relationships among smart phone AR application traits, presence, flow experience, and relational continuance behavior. First, AR application traits are defined as three categories sensory immersion, navigation, and manipulation, based on preceding studies. This study then examines the influence of AR application traits on the presence and flow experience and looks into the relation among presence, flow experience, and relational continuance behavior. This analysis suggests more detailed and concentrated strategic implications. Research design, data, and methodology - A research model is designed to examine the relation among AR application traits, presence, flow experience, and relational continued behavior. For data collection, questionnaire surveys were composed of multi-items for each component and the direct interview method was used for the interviews. To collect the data, after running the smart phone AR applications, the consumer behaviors of the respondents were generally determined. The questionnaire surveys were conducted for one month, October 2014. A total of 300 questionnaires were distributed with 278 questionnaires used for analysis, excluding the unanswered and insincere questionnaires. The data were analyzed using SPSS ver. 20.0 and LISREL ver. 8.51. Results - The following results are found: First, AR application traits have a significantly positive effect on presence with sensory immersion, navigation, and manipulation all having a significantly positive effect. Second, sensory immersion and manipulation among the AR application traits have a significantly positive effect on flow. However, navigation did not have a significantly positive effect on flow. Third, presence has a significantly positive effect on flow and has a significantly positive effect on relational continuance behavior. Moreover, flow also has a significantly positive effect on relational continuance behavior. This behavior tends to be formed since brands want to encourage relational continuance behavior and positive emotions with the brands being used. Relational continuance behavior accompanies repeat purchasing, positive word-of-mouth and recommendation activities, and forms of trust with the brand. Conclusions - The research results showed that smart phone AR traits had significantly positive effect on presence, flow, and relational continuance behavior. Based on this, smart phone AR application providers should establish an aggressive marketing strategy to accommodate more realistic problems in order to positively influence user behavior. Additionally, the marketers should make efforts to provide fun or convenience in the AR application operation process of the user.

• 한국환경생태학회지
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• 제32권1호
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• pp.39-46
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• 2018

번식기 조류 조사(Breeding Bird surveys)는 생태계 내 군집 구조와 기능 그리고 생물다양성 보전을 위한 중요한 기초 자료를 제공한다. 최근 기후변화 등에 따른 생물다양성이 급변함에 따라 산림성 조류조사 데이터의 정확성 및 공간적인 확대와 시계열적 모니터링을 위해 음향 센서 등의 활용이 요구되고 있다. 본 연구의 목적은 조류 음성을 녹음한 데이터와 현장 조류조사 자료를 비교 분석하여 번식시기 산림성 조류의 군집 다양성 평가에 음향 녹음 센서의 활용 가능성을 파악하는 것이다. 2013년 5월 2일부터 16일까지 현장조사 및 녹음을 실시하였으며, 조사 대상지는 점봉산지역의 곰배령과 조침령, 그리고 소백산지역의 죽령과 고치령 구간으로 총 4개 권역 48개 지역, 186개 지점이었다. 녹음결과를 이용하여 현장조사에 의한 조류군집지수와의 상관관계를 분석한 결과, 녹음에 의한 조류 종의 수와 개체수, 울음소리 횟수는 현장조사에 의한 조류의 종의 수, 개체수와 유의미한 상관관계가 있었지만, 녹음에 의한 조류 종의 수와 음성의 횟수는 현장조사(관측과 청음 병행)에서의 종다양도, 종풍부도와 유의미한 상관관계가 있었지만 종균등도와는 약한 상관관계 혹은 관계가 없음으로 나타났다. 결과적으로 현장에서의 음성녹음 자료를 분석할 경우 조류군집의 종조성과 함께 종다양성을 확인할 수 있었다. 비번식기의 음성녹음에 비하여 번식기의 음성녹음은 녹음결과와 종다양성과의 상관관계에서 보다 신뢰도가 높게 나타났으며 활용가능성이 더 높은 것으로 사료된다.

• 천문학논총
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• 제27권4호
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• pp.217-218
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• 2012

Among the AKARI all-sky survey data, the $9{\mu}m$ diffuse map is crucial to study the polycyclic aromatic hydrocarbon (PAH) emission features on large spatial scales, while the $18{\mu}m$ map is useful to trace hot dust emission. To utilize these advantages, we have improved the AKARI mid-infrared (MIR) all-sky survey diffuse maps. For example, we have established special methods to remove the effects of the ionizing radiation in the South Atlantic Anomaly (SAA) and of the scattered light from the moon. Using improved diffuse map data, we study the properties of PAHs and dust in the Galactic center region associated with high-energy phenomena.

• The Journal of Asian Finance, Economics and Business
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• 제7권6호
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• pp.517-524
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• 2020

The study examines factors affecting apartment prices in the real estate market of Ho Chi Minh City, Vietnam. The study uses primary data based on surveys of customers who have traded successfully, and collects transaction data from real estate trading companies that are the top investors in Ho Chi Minh City real estate market. The collected data include 384 observations in a total of 24 districts, detailing that each district surveyed on a minimum of four projects, each project carried out a survey on a minimum of four apartments. The survey collected 339 valid questionnaires for analysis and model testing. This study employs multivariate regression with the data of 339 observations. The research results reveal that five significant factors affect positively the price of apartments in Ho Chi Minh City - apartment area, toilet and bedroom, apartment floor, reference price, and apartment interior. Besides, there are three significant factors affecting negatively the price of apartments - next price trend, distance to city center, and potential building. From the results, the research proposes solutions in the pricing of apartments in the real estate market in Ho Chi Minh City - better information system, a real estate transaction index, and stricter management of small brokerage activities.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.138-140
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• 2003

The aim of this study is to evaluate the effect of spatial resolutions on the accuracy to landslide susceptibility mapping. For this, landslide locations were identified in the Boun, Korea from interpretation of aerial photographs and field surveys. The topographic, soil, forest, geologic, linearment and land use data were collected, processed and constructed into a spatial database using GIS and remote sensing data. The 15 factors that influence landslide occurrence were extracted and calculated from the spatial database with 5m, 10m, 30m, 100m and 200m spatial resolutions. Landslide hazardous area were analysed and mapped using the landslide-occurrence factors by probability model, likelihood ratio, for the five cases spatial resolutions. The results of the analysis were verified using the landslide location data. In the cases of spatial resolution 5m, 10m and 30m, the verification results was similar, but in the cases of 100m and 200m the results worse than the others. Because the scale of input data was 1:5,000 ? 1:50,000, so the cases of 5m, 10m and 30m have similar accuracy but the cases of 100m and 200m have the lower accuracy. From this, there is an effect of spatial resolutions on accuracy and landslide susceptibility mapping the result is dependent on input map.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.533-543
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• 2021

This study aims to determine and analyze the effect of social shopping, adventure shopping, value shopping, relaxation shopping, and idea shopping in influencing impulsive online buying behavior moderated by scarcity and serendipity information. The research method used is the quantitative research paradigm using surveys as a medium to obtain primary data. The paper examines the theoretical research model and tested fifteen hypotheses. The questionnaire was developed based on indicators from previous research. A non-probability sampling framework is used in this study. The data collection method uses electronic and online questionnaires to collect primary data with a total sample of 330 taken with the criteria of having made transactions in e-commerce Shopee in the last three months. Data analysis tools using Structural Equation Modelling (SEM) approach. The results showed that 8 out of 15 hypotheses were accepted and supported. The results show that there is a relationship between the value of hedonic shopping, scarcity, and serendipity information on impulsive online buying behavior. Therefore, analyzing the needs of customers, optimizing customer satisfaction, service excellence, website quality, and the ease of use of e-shopping itself especially in the e-commerce industry should be taken seriously nowadays.