• Title/Summary/Keyword: 잠재이용자

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A Study of the Effect of Core Facilities and Core Recreational Programs on Urban Parks′Attractiveness (핵심시설과 핵심 Recreational Program이 도시공단 매력도에 미치는 영향에 관한 연구)

  • Hong, Sung-Kwon
    • Journal of the Korean Institute of Landscape Architecture
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    • v.17 no.2
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    • pp.47-56
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    • 1989
  • 본 연구는 Homans의 Social Exchange Theory에 근거하여 특정 공원의 매력도(attractiveness)와 핵심시설 (core facility), 핵심recreational program과의 관계를 규명하였다. 즉, 공원의 매력도를 일정 행동에 대한 가치로, 특정 공원의 방문을 개개인의 행동선택으로 생각하여 가설을 제시하고 검증을 한 결과 핵심시설과 핵심 recreational program이 증가함에 따라서 공원의 매력도가 증가함을 보이고 있다. 또한 설정된 모델은 두 변수로 특정공원의 매력도를 65% 설명하고 있다. 이 결과는 특정 지역의 자연조건과, 현재 또는 잠재적 이용자들의 선호를 바탕으로 핵심시설과 핵심recreational program을 도시공원이 제공해 주면, 그 공원의 매력도는 증가하며 따라서 공원시 만족도와 이용 빈도를 늘릴 수 있다는 구체적인 증거를 제시하고 있다.

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Adoption Characteristics and Activating for VoIP in Korean Enterprise Market (국내 기업의 VoIP 수용특성 분석 및 서비스 활성화 방향)

  • Park, J.H.;Paik, J.H.;Park, H.J.
    • Electronics and Telecommunications Trends
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    • v.24 no.4
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    • pp.147-159
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    • 2009
  • VoIP는 유무선 인터넷의 IP 망을 기반으로 차세대 유비쿼터스형 전화로 부각될 가능성이 있으며 유선 부문의 VoIP는 특화된 서비스 모델을 바탕으로 급격한 시장확산이 진행되고 있다. 인터넷 전화인 VoIP는 저렴한 비용으로 고품질의 음성 및 화상 서비스를 제공할 뿐만 아니라 데이터 서비스와의 융합을 통해 이용자에게 다양한 편익을 제공한다는 측면에서 향후 성장잠재력이 높을 것으로 전망되고 있다. 특히, 기업에서는 VoIP를 통해 비용을 절감할 뿐만 아니라 VPN 또는 기업 데이터형 솔루션과 결합하여 새로운 경쟁무기로 활용할 유인이 있어 일반인에 비해 적극적인 수용태도를 형성하고 있다. 그런데, 국내 기업의 VoIP 수용현황 및 특성을 분석한 보고서가 거의 없는 실정이다. 이에 본 글에서는 국내 기업에 대한 조사결과를 바탕으로 VoIP 서비스 이용률, 이용방식, 만족 및 불만족 요인, 비이용기업의 잠재적 수요특성을 체계적으로 분석하였다. 이를 바탕으로 결론적으로 국내 기업에서 VoIP 서비스가 활성화되기 위한 방향을 제시하였다.

Policy Agenda for Rebooming the Telecommunications Industry (통신시장 규모확대를 위한 정책과제)

  • Kim, S.C.
    • Electronics and Telecommunications Trends
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    • v.26 no.2
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    • pp.25-32
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    • 2011
  • 한국은 세계적으로 정부 주도의 IT 정책이 가장 성공한 나라로 평가되어 왔으나 최근 스마트폰 등 모바일 중심의 세상이 도래하면서 기존 정보통신사업 생태계가 크게 요동치고 있다. 더욱이 이러한 새로운 패러다임 및 BM이 미국발이어서 새로운 시장 창출형 정책선도 모델 발굴이 매우 시급하다. 그러나 과거와는 전혀 다른 새로운 환경, 즉 규제의 힘이 약해지고 새로운 Value Chain 및 산업조직 등 시장의 힘이 강해진 상황에서 이용자의 참여를 유도하고 궁극적으로 시장의 잠재적 수요를 창출할 수 있는 소통적 정책모델 정립이 매우 중요하다고 할 수 있다. 이러한 관점에서 통신산업은 수동적으로 관리해야 할 대상이 아니라 미래 국가경쟁력을 위해서 적극적으로 진흥, 육성해야 할 분야라는 인식전환이 그 어느 때보다 필요하다.

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항공 AIDC를 응용한 VTS 관제센터간 선박관제권 이양절차 도입

  • Yu, Jae-Man;Jeong, Gyeong-Hwa
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2013.06a
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    • pp.368-370
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    • 2013
  • 현재 전 세계 체약국들은 증가하는 항공수요를 충족하고 공역의 이용 효율성 및 항공기 운항의 경제성 등을 제고하기 위해 국제민간항공기구(ICAO)에서 전략적으로 개발하고 채택한 차세대항법시스템(New CNS/ATM, PBN 등)의 각종 항법 및 통신 어플리케이션 등을 도입 적용하고 있다. 이 가운데 AIDC(ATS inter-facility Data Communication)는 조종사와 관제사간 반복적으로 이루어지는 교신(Verbal Communication)사항을 포맷화한 후 데이터로 송출하여 조종사와 관제사 양측 모두의 업무로드를 감소시키며 주파수 점유 시간을 단축시켜 주파수 활용도를 크게 증가시키고 있다. 또한, 비영어권 국가와의 음성 통신시 부정확한 발음 등으로 야기 될 수 있는 인적요인(Human Factor)을 사전 제거하는 등 많은 혜택(Benefits)을 제공하고 있다. 비록 이번 연구에서 항공 AIDC의 모든 요소가 VTS에 1:1 적용 되지는 않지만 AIDC의 주요 요소(TOC, AOC 등)와 우리 해상교통 실정에 맞는 응용 요소(RTOC)를 추가하여 주파수와 관제센터는 다르지만 관제구역이 서로 인접해 있는 구역에 적용시켜 잠재적 위험요소를 사전에 예방하고, 궁극적으로 Service provider로서 이용자 중심의 VTS를 설계하고자 한다.

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Development of Image Classification Model for Urban Park User Activity Using Deep Learning of Social Media Photo Posts (소셜미디어 사진 게시물의 딥러닝을 활용한 도시공원 이용자 활동 이미지 분류모델 개발)

  • Lee, Ju-Kyung;Son, Yong-Hoon
    • Journal of the Korean Institute of Landscape Architecture
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    • v.50 no.6
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    • pp.42-57
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    • 2022
  • This study aims to create a basic model for classifying the activity photos that urban park users shared on social media using Deep Learning through Artificial Intelligence. Regarding the social media data, photos related to urban parks were collected through a Naver search, were collected, and used for the classification model. Based on the indicators of Naturalness, Potential Attraction, and Activity, which can be used to evaluate the characteristics of urban parks, 21 classification categories were created. Urban park photos shared on Naver were collected by category, and annotated datasets were created. A custom CNN model and a transfer learning model utilizing a CNN pre-trained on the collected photo datasets were designed and subsequently analyzed. As a result of the study, the Xception transfer learning model, which demonstrated the best performance, was selected as the urban park user activity image classification model and evaluated through several evaluation indicators. This study is meaningful in that it has built AI as an index that can evaluate the characteristics of urban parks by using user-shared photos on social media. The classification model using Deep Learning mitigates the limitations of manual classification, and it can efficiently classify large amounts of urban park photos. So, it can be said to be a useful method that can be used for the monitoring and management of city parks in the future.

A Study on Identifying Factors Affecting Improvement for Academic Libraries Multimedia Services Using Six Sigma Methodology (6시그마 도구를 활용한 대학도서관 멀티미디어 서비스 개선 변수 도출에 관한 연구)

  • Noh, Dong-Jo;Nam, Min-Seok
    • Journal of the Korean Society for information Management
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    • v.30 no.1
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    • pp.111-129
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    • 2013
  • This study analyzed the process of multimedia services and indexed the core quality characteristics through the tools employed in 'Define' and 'Measure' steps of the 6 Sigma DMAIC methodology. To achieve the goal, as a case study of 'S' University Central Library, first, brainstorming technique was used to tap the librarians, second, interview with the half-time student workers, third, user's opinion on homepage was analyzed and lastly, the interview with the users. This study also drew some potential causal factors which would likely to affect the multimedia service using Process Map and C&E Diagram. Those factors were prioritized using X-Y matrix and Pareto Chart. This study revealed 14 factors affecting multimedia services: 'presence/absence of the persons who are in charge of selection', 'cycle of selection materials', 'presence/absence of seperated multimedia room', 'materials arrangement method', 'notification of popular materials', 'notification of documents arrivals', 'methods of noticing new arrivals', 'methods of ordering materials', 'cycle of checking order status', 'types of persons requesting materials', 'methods of requesting materials', 'checking of the status of the returned materials', 'methods of noticing materials in housed', and 'methods of ways to return overdue materials'.

Exploring Future Signals for Mobile Payment Services - A Case of Chinese Market - (모바일 결제 서비스에 대한 미래신호 예측 - 중국시장을 대상으로 -)

  • Bin Xuan;Seung Ik Baek
    • Journal of Service Research and Studies
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    • v.13 no.1
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    • pp.96-107
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    • 2023
  • The objective of this study is to explore future issues that Chinese users, who have the highest mobile payment service usage rate in the world, will be most interested in. For this purpose, after collecting text data from a Chinese SNS site, it classifies major keywords into 4 types of future signals by using Keyword Emergence Map (KEM) and Keyword Issue Map (KIM). Furthermore, to understand the four types of signals in detail, it performs the qualitative analysis on text related to each signal keyword. As a result, it finds that the strong signal, which is rapidly growing in keyword appearance frequency during this research period, includes the keywords related to the daily life of Chinese people, such as buses, subways, and household account books. Additionally, it find that the signal that appears frequently now, but with a low increase rate, includes various services that can replace cash payment, such as hongbao (cash payment) and bank cards. The weak signal and latent signal, which appear less often than other two signals, includes the keywords related to promotion events or changes in service regulations. Its result shows that the mobile payment services greatly have changed user's daily life beyond providing convenience. Furthermore, it shows that, in the Chinese market, in which card payment is not common, the mobile payment services have the great potential to completely replace cash payment.

Toward a Key-frame Extraction Framework for Video Storyboard Surrogates Based on Users' EEG Signals (이용자 기반의 비디오 키프레임 자동 추출을 위한 뇌파측정기술(EEG) 적용)

  • Kim, Hyun-Hee;Kim, Yong-Ho
    • Journal of the Korean Society for Library and Information Science
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    • v.49 no.1
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    • pp.443-464
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    • 2015
  • This study examined the feasibility of using EEG signals and ERP P3b for extracting video key-frames based on users' cognitive responses. Twenty participants were used to collect EEG signals. This research found that the average amplitude of right parietal lobe is higher than that of left parietal lobe when relevant images were shown to participants; there is a significant difference between the average amplitudes of both parietal lobes. On the other hand, the average amplitude of left parietal lobe in the case of non-relevant images is lower than that in the case of relevant images. Moreover, there is no significant difference between the average amplitudes of both parietal lobes in the case of non-relevant images. Additionally, the latency of MGFP1 and channel coherence can be also used as criteria to extract key-frames.

A Study on the Creation of Social Capital Through the Use of Public Libraries (공공도서관 이용을 통한 사회자본 형성에 관한 연구)

  • Lee, Seungmin
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.27 no.2
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    • pp.29-50
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    • 2016
  • This study conducted a survey research in order to prove the influence of public libraries on the creation of social capital. The analysis showed that the use of public libraries is generally focusing on information activities on a personal level and it is not extended to establish social relationships or form social trust between people on social level. If the personal information activities in public libraries are expanded to share information and opinions with other people, however, it can establish social relationships across people mediated by public libraries. It also has the possibilities to induce library users to participate reciprocal activities on social level. As a result, the information activities in public libraries on personal level can be extended to social levels mediated by public libraries, which can affect the creation of social capital. Based on these results, public libraries need to consider the social responsibilities on creating social capital as well as supporting information activities of members of society.

Exploring a Balanced Share of Slow Charging Options by Places Based on Heterogeneous Travel and Charging Behavior of Electric Vehicle Users (장소별 완속충전기 적정 보급 비율에 관한 연구 : 전기차 이용자의 통행 및 충전행태에 따른 이질성을 중심으로)

  • Jae Hyun Lee;Seo Youn Yoon;Hyeonmi Kim
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.6
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    • pp.21-35
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    • 2022
  • With the support of local and central governments, various incentive policies for "green" cars have been established, and the number of electric vehicle users has been rapidly increasing in recent years. As a result, much attention is being given to establishing a user-centered charging infrastructure. A standard for the number of electric vehicle chargers to be supplied is being prepared based on building characteristics, but there is quite limited research on the appropriate ratio of slow and fast chargers based on the characteristics of each place. Therefore, this study derived an appropriate penetration ratio based on data about the distribution ratio of common slow chargers. These data were collected using a survey of actual electric vehicle users. Next, an analysis was done on how to categorize the needs of charging environments and to determine what criteria or characteristics to use for categorization. Based on the results of the survey analysis, three types of places were derived. Type-1 places require 10% of chargers to be slow chargers, Type-2 places require 40-60% of chargers to be slow chargers (i.e., around equal distribution of slow and fast chargers), and Type-3 places require more than 80% of chargers to be slow chargers. The required levels of slow chargers were classified by place type and by individual using latent class cluster analysis, which made it possible to categorize them into five clusters related to socioeconomic variables, vehicle characteristics, traffic, and charging behaviors. It was found that there was a high correlation between charging behavior, weekend travel behavior, gender, and income. The results and insights from this study could be used to establish charging infrastructure policies in the future and to prepare standards for supplying charging infrastructure according to changes in the electric vehicle market.