• 제목/요약/키워드: Region-Related Information

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Development of ASEAN Network Model on Information Literacy

  • Sacchanand, Chutima
    • Journal of Information Science Theory and Practice
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    • 제10권1호
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    • pp.18-29
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    • 2022
  • This study aimed at overviewing the situation of information literacy education and research in the Association of Southeast Asian Nations (ASEAN) region, and developing an ASEAN network model on information literacy. This research used documentary and qualitative research methods. Key resources consisted of twenty bibliometric studies and related documents and two groups of key persons. The first group consisted of twenty-seven purposive key persons from eight countries, and the second group consisted of seven key persons from five countries. The research instruments comprised a data collection form and focus group/ interviewing forms. Data was collected by focus group discussion and online interviews, and qualitative content analysis was used in data analysis and presented descriptively. Research findings showed that: 1) information literacy education and research in the ASEAN region varied across countries and placed importance on the educational context. Singapore was found to be the most leading and productive country in ASEAN in information literacy with the highest number of journal articles on the international scale, and was among the most contributing groups at the regional and global level; 2) the ASEAN Network on Information Literacy (ASEAN-NIL) has been developed as a model with its principles, objectives, management system, activities, and promotion strategies. Its strengths are an integrated scope, multidimensional orientation, and interdisciplinary and collaborative partnerships at the national, regional, and international level, suitable for the ASEAN context, the online environment, and the digital educational ecosystem.

An Exploratory Study on a Relationship between Changes in Cultivated Area of Major Crops and Farm Income by regions - From Comparative Analysis to Optimal Portfolio Analysis -

  • Jang, Ikhoon;Kim, Yeonjin;Choi, Dohyeong;Choe, Young Chan;Jung, Guhyun
    • Agribusiness and Information Management
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    • 제11권1호
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    • pp.10-26
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    • 2019
  • This study is exploratory research on a relationship between changes in cultivated area of major crops and farm income by regions. We investigated level of income, volatility of income, and migration of suitable region by climate changes as factors influencing changes in cultivated area. Research processes are as follows. First, we classify the regions where cultivated areas are expanded or reduced through the trends of cultivated area by region and crop during recent 10 years. Second, we compare the changes in income related factors between groups during the same periods. Finally, the results from portfolio analysis show changes in stable income-based optimal crops. From these procedures, we found that the changes in cultivated area are not simply explained by income-related factors. In cases of vegetables, however, we also found that high volatility of income could contribute to reduce cultivated area of the crops. The results from portfolio analysis are not always consistent in all of cases. This means that crop selection can be decided by other factors than stable income.

경북지역 대학생의 음주행동 실태 및 음주 문제 예방 프로그램 요구도 분석 (Analysis of Drinking Behaviors and Need for Programs to Prevent Drinking Problems of University Students in Gyeongbuk Region)

  • 안지희;김효정;김미라
    • 동아시아식생활학회지
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    • 제24권4호
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    • pp.444-456
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    • 2014
  • The purpose of this study was to investigate drinking behaviors and need for programs to prevent drinking problems for university students. Data were obtained from 355 university students in Gyeongbuk region through a self-administered questionnaire. Data were analyzed by SPSS Windows V.21.0. To describe characteristics of the respondents, frequency distributions were used. In addition, t-test, one-way analysis of variance and Duncan's multiple range tests were conducted. For 'how many times do you drink a month?', 70.4% of the respondents answered they drank '1~5 times a month'. Additionally, for 'how much alcohol do you drink?', 54.1% of the respondents answered they drank 'appropriately'. The main motive for drinking was to promote friendship or celebrate an anniversary such as a birthday, and 44.8% of respondents started drinking from high school days. Many respondents took meals before drinking, and smokers smoked more while drinking. Intention to participate in education or programs related to desirable drinking was low compared to their necessity. The level of information on 'health problems caused by excessive drinking' was highest among information needs related to drinking.

쥐 해마의 유전자 발현 그리드 데이터를 이용한 특징기반 유전자 분류 및 영역 군집화 (Feature-based Gene Classification and Region Clustering using Gene Expression Grid Data in Mouse Hippocampal Region)

  • 강미선;김혜련;이석찬;김명희
    • 정보과학회 논문지
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    • 제43권1호
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    • pp.54-60
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    • 2016
  • 뇌의 유전자 발현 정보는 영역별 기능과 밀접한 관련이 있어 이를 분석하기 위해 다수의 유전자들 간의 발현 정도 및 발현 위치 정보와의 관계에 대한 연구가 이루어지고 있다. 본 논문에서는 컴퓨터 기술을 통해 알렌 뇌과학연구소에서 제공하는 약 2만여개의 쥐 뇌 유전자 발현 정보 중 뇌의 해마 영역을 중점적으로 분석하여 유전자들을 자동으로 분류해내고 발현 위치 정보를 기반으로 군집화하여 가시화하는 방법을 제안한다. 이를 통해 해마 내 전체적으로 발현되는 유전자들과 특정 영역에만 발현되는 유전자들을 분류할 수 있었고 그 중 특정 영역에 발현되는 유전자들의 위치정보 기반으로 군집화된 데이터를 뇌 지도와 함께 관찰 할 수 있었다. 본 연구는 뇌의 기능과 영역과의 관계성 관련 생물학적 연구를 위한 실험군 선정작업에 이용되어 실험설계시간을 줄일 수 있고 기존에 알려진 뇌의 해부학적 구조보다 더욱 세분화된 구조를 발견할 수 있는 가능성을 제시할 것으로 기대된다.

정보화 사회에 관한 아ㆍ태 각료회의의 주요 동향 고찰 (Analysis on Major Issues relating to Asia Pacific Summit on Information Society)

  • 김영태;박종봉;박기식
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2001년도 춘계종합학술대회
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    • pp.567-570
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    • 2001
  • 아.태 지역에서의 정보통신기술(ICT : Information and Communication Technology)에 대한 성장 잠재력 극대화 및 정보화 기능의 부작용 방지 방안 마련 일환으로, 아.태 전기통신협의체인 APT(Asia Pacific Telecommunity)는 지난 2000년 10월 31일부터 11월 1일까지 일렬(동경)에서 '정보화사회에 관한 아.태 각료회의'를 개최했다. 이에 본 고는 '정보화사회에 관한 아.태 각료회의'의 결과로 채택된 주요 선언문(Declaration) 및 행동 계획(Action Plan)의 세부 내용을 분석하는데 역점을 두었다.

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Text Location and Extraction for Business Cards Using Stroke Width Estimation

  • Zhang, Cheng Dong;Lee, Guee-Sang
    • International Journal of Contents
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    • 제8권1호
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    • pp.30-38
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    • 2012
  • Text extraction and binarization are the important pre-processing steps for text recognition. The performance of text binarization strongly related to the accuracy of recognition stage. In our proposed method, the first stage based on line detection and shape feature analysis applied to locate the position of a business card and detect the shape from the complex environment. In the second stage, several local regions contained the possible text components are separated based on the projection histogram. In each local region, the pixels grouped into several connected components based on the connected component labeling and projection histogram. Then, classify each connect component into text region and reject the non-text region based on the feature information analysis such as size of connected component and stroke width estimation.

얼굴영역 및 얼굴요소 검출 알고리즘의 성능평가 방법 (Performance Evaluation Method for Detection Algorithms of Face Region and Facial Components)

  • 박광현;김대진;홍지만;정영숙;최병욱
    • 로봇학회논문지
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    • 제4권3호
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    • pp.192-200
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    • 2009
  • In this paper, we report the progress in the development of performance evaluation method for detection algorithms of face region and facial components. This paper aims to provide a standardized evaluation method for general approach in face recognition application as a potential component in futuristic intelligent robot systems. From an image capture process to the retrieval of face-related information, all the necessary steps are shown with examples.

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Reconnecting the Dots for the Payment Service Directive 2 - Compatible Asian Financial Network

  • Choi, Gongpil;Park, Meeyoung
    • East Asian Economic Review
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    • 제23권3호
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    • pp.285-309
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    • 2019
  • Unlike the popular belief, digital transformation mainly gets stymied by legal and regulatory issues related with legacy institutions in Asia rather than technical difficulties. The real challenges triggered by the PSD2 (Payment Services Directive 2) are how the region would overcome the overly fragmented, centralized, and hierarchical legacy framework to allow necessary changes to respond to the digital single market initiatives as promulgated by the European counterpart. The PSD2 is expected to bring about substantial changes in the payment ecosystem by allowing payment service providers to access customers' accounts and transactions information via API that have been traditionally controlled by banks. This paper suggests an incentive-compatible mechanism design for open collaboration among legacy institutions in the region to help them adapt to the PSD2. As evidenced by case studies in Korea, the Asian equivalent of PSD2 can be implemented and further expanded to create region-wide PCS (payment-clearing-settlement) network by reconnecting the dots of legacy infrastructures. These decentralized, diverse, small payment networks can be further combined with the expanded RTGS-CDS platform to evolve into the next phase of Asian Financial Network.

국제와인관광서비스 시장세분화에 관한 연구 (Market Segmentation of International Wine Tourism Service)

  • 이희승;전혜진;김기홍
    • 통상정보연구
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    • 제11권4호
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    • pp.129-149
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    • 2009
  • The interest in wine has been increasing because of raised standard of living, increased leisure time, raised interest in health. Therefore, a few wine related tourism product has introduced to public including wine train to Young-dong region and overseas wine tour package. This study focused on motivation to visit overseas wine tour package in order to segment target wine tourism countries. As a result, three different markets were segmented and they showed different characteristics with regard to demographics, tourism behavior, and preferred wine tourism countries.

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영상보안을 위한 머리와 얼굴의 간단한 영역 분리 및 얼굴 특징 추출 (Simply Separation of Head and Face Region and Extraction of Facial Features for Image Security)

  • 전영철;이건익;김강
    • 한국컴퓨터정보학회논문지
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    • 제13권5호
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    • pp.125-133
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    • 2008
  • 사회가 발전할수록 공공장소에서 개인 및 시설물의 안전에 대한 중요성이 높아진다 기존의 주차장, 은행, 공장 등 보안이나 범죄 예방이 요구되는 지역은 넘어서 일반 기관, 개인의 주택까지 감시 및 보안에 대한 투자가 증가하는 경향을 보이고 있다. 이 논문은 얼굴인식에 있어서 중요한 얼굴 영역과 머리 영역을 칼라변환을 이용하여 간단하게 분리하는 방법과 얼굴특징 추출을 제안한다. 먼저 입력영상에 대한 CMYK영상 중 K영상을 가지고 머리 영역을 분리한 후에 YIQ영상의 Y영상과 머리 영상과의 칼라변환을 이용하여 얼굴영역을 분리한다 머리영상에 Log 연산을 한 후에 라벨링을 이용하여 얼굴의 특징들을 추출한다. 뚜렷하게 분리된 머리와 얼굴영역은 머리와 얼굴의 형태를 쉽게 분류할 수 있으며, 쉽게 특징점을 찾을 수 있게 한다. 제안한 방법의 알고리즘을 이용하면 중요성이 요구되는 보안 관련 시설에서 사람을 감시하거나 인식하는데 효과적으로 이용될 수 있을 것으로 예상된다.

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