• 제목/요약/키워드: user guide

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Assessment of Bank Customer's Attitude Toward Financial Technology in Pakistan

  • MUSTAFA, Muhammad;BUTT, Hassan Daud;SARKER, Md Nazirul Islam;GHANI, Maria
    • The Journal of Asian Finance, Economics and Business
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    • 제8권7호
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    • pp.545-556
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    • 2021
  • The financial technology sector is now growing rapidly all over the world, and it has improved the banking system efficiency and customer experience. This research study attempts explicitly to explore the consumer acceptance attitude of FinTech and its products in Pakistan. Technology Acceptance Model was used to assess the entire variable associated with the consumer attitude to adopt new technology. Based on a survey conducted from Pakistan data and by employing the multiple regression analysis, this study proves that the risk involved in FinTech products and services results in less usage of financial technology. The findings of the study also show that the risk should be reduced if banks and other institutes that are involved in financial transactions online must provide security. Moreover, customers are not willing to pay an extra amount for using financial technology. It argues that usefulness helps to change the attitude of banking customers to use financial technology. The attitudes of the customers have a positive relationship with the adoption of financial technology. These results also help guide financial institutions to enhance the adoption of FinTech products. User attitudes must be changed by providing users with more security, less risky applications, and cost-effective products.

도서관에서 로봇 활용에 대한 사례 연구: 국립중앙도서관을 중심으로 (A Case Study on Using Robot at the Library: Focusing on the case of National Library of Korea)

  • 김경철
    • 정보관리학회지
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    • 제37권4호
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    • pp.61-80
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    • 2020
  • 이 연구는 도서관에서 도입 및 운영 중인 로봇에 대한 분석을 통해 다양한 활용 방안과 기능 개선 방안을 제안하고자 하였으며, 이를 위하여 먼저 국내외 16개 도서관이 운영 중인 로봇의 종류, 기능에 대해서 살펴보았다. 대부분 사서보조업무(장서점검, 자료이송 등)와 이용자 서비스업무(도서관 안내, 자료검색 보조 등)에 활용되고 있었다. 그리고 국립중앙도서관이 도입한 로봇의 특징과 기능적 한계를 살펴보았다. 이러한 결과를 종합하여, 1) 로봇의 추가기능 개발 필요성, 2) 방역 및 안전관리 로봇 도입 필요성, 3) 국가차원의 로봇 확산정책의 필요성, 4) 로봇생태계 구축의 필요성을 제안하였다.

Development of Tourism Information Named Entity Recognition Datasets for the Fine-tune KoBERT-CRF Model

  • Jwa, Myeong-Cheol;Jwa, Jeong-Woo
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권2호
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    • pp.55-62
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    • 2022
  • A smart tourism chatbot is needed as a user interface to efficiently provide smart tourism services such as recommended travel products, tourist information, my travel itinerary, and tour guide service to tourists. We have been developed a smart tourism app and a smart tourism information system that provide smart tourism services to tourists. We also developed a smart tourism chatbot service consisting of khaiii morpheme analyzer, rule-based intention classification, and tourism information knowledge base using Neo4j graph database. In this paper, we develop the Korean and English smart tourism Name Entity (NE) datasets required for the development of the NER model using the pre-trained language models (PLMs) for the smart tourism chatbot system. We create the tourism information NER datasets by collecting source data through smart tourism app, visitJeju web of Jeju Tourism Organization (JTO), and web search, and preprocessing it using Korean and English tourism information Name Entity dictionaries. We perform training on the KoBERT-CRF NER model using the developed Korean and English tourism information NER datasets. The weight-averaged precision, recall, and f1 scores are 0.94, 0.92 and 0.94 on Korean and English tourism information NER datasets.

APPRAISAL OF MAINTENANCE MANAGEMENT STRATEGIES USED IN PUBLIC HOSPITAL BUILDINGS IN LAGOS STATE, NIGERIA

  • Adenuga, O.A;Iyagba, R.O.;Ogunsanmi, E.O
    • 국제학술발표논문집
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    • The 2th International Conference on Construction Engineering and Project Management
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    • pp.837-847
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    • 2007
  • The study focused on the evaluation of maintenance management strategies used in public hospital buildings in Lagos state. It also assessed the labour composition for maintenance operations. In achieving these objectives, opinions of maintenance officers of ten (10) different hospitals in different local government areas of the state were sampled through well structured questionnaires. The data collected were analyzed using descriptive and inferential statistics. From the analysis, the study revealed that majority of those public hospitals do not have specific budget for maintenance programmes, maintenance policies, maintenance log book and maintenance manual to guide the operatives. About 98% of them do not understand the type of maintenance strategy being used for their maintenance operations. 78% of the maintenance work are only executed when there is a breakdown or in response to user's request. For labour composition, the cleaning of interior and exterior of the building, inspection of building elements, repairs and replacements of building elements are mainly carried out by in-house staff, while the repair and replacement of equipment is by outsourcing. The study also revealed that using in- house staff, reduces costs and provides a higher security while outsourcing provides more flexibility in staffing reduces equipment expenditures and provide better access to special skills. The study recommended proactive measures to provide necessary training and support for maintenance staff and users of these facilities and a means of securing sufficient funds for maintenance programmes.

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휴양림 3D 스캔 데이터를 통한 최적 대피로 안내 시스템 (Optimal evacuation route guidance system using recreational forest 3D scan data)

  • 정상훈;권은혜;손훈;강소영;정회경
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 춘계학술대회
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    • pp.258-259
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    • 2021
  • 휴양림은 산림자원과 부대시설 그리고 이용객으로 구분되며, 웰빙 문화와 더불어 끊임없이 이용되고 있다. 이와 함께 이용객의 안전에 대한 관심이 필요하며, 본 연구에서는 산림에서 발생할 가능성이 있는 자연재해 상황에서 이용객이 빠른 시간(golden time)내에 대피하는 방법에 대해 연구하고자 한다. 이용객의 현재 위치를 탐색하고 최적을 대피로를 찾기 위해 휴양림 전체(산림자원, 부대시설 등)를 3D 스캔을 실시하고, 현 위치 인식으로 통해 대피 장소까지의 최적을 궤적을 찾아 이용객이 소지하고 있는 모바일 장치를 통해 빠른 대피 안내를 하는 것이 가능할 것으로 생각된다.

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생성형 인공지능을 활용한 프로그래밍 교육 소프트웨어 개발 (Developing Programming Education Software with Generative AI)

  • 최도현
    • 실천공학교육논문지
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    • 제15권3호
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    • pp.589-595
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    • 2023
  • 인공지능 기술은 기술과 교육을 조합한 에듀테크(EdTech) 분야에서 효율적인 교육 콘텐츠 제공과 개인화된 학습자 환경을 구축 등 새로운 혁신을 이끌고 있다. 본 연구는 최근 발전된 생성형 AI를 활용한 프로그래밍 교육 소프트웨어를 개발한다. 최근 잘 알려진 ChatGPT API 기반으로 프로그래밍 코드 분석에 최적화된 프롬프트를 연동했다. 이외 프로그래밍 소스 코드 학습에 필요한 기능을 UI로 설계하고 AI 챗봇 기반의 질의/응답 템플릿 기능으로 개발하였다. 본 연구는 생성형 인공지능을 활용한 교육 프로그램 개발의 방향성을 제시하고자 한다.

시각 장애인을 위한 상품 영양 정보 안내 시스템 (Product Nutrition Information System for Visually Impaired People)

  • 정종욱;이제경;김효리;오유수
    • 대한임베디드공학회논문지
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    • 제18권5호
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    • pp.233-240
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    • 2023
  • Nutrition information about food is written on the label paper, which is very inconvenient for visually impaired people to recognize. In order to solve the inconvenience of visually impaired people with nutritional information recognition, this paper proposes a product nutrition information guide system for visually impaired people. In the proposed system, user's image data input through UI, and object recognition is carried out through YOLO v5. The proposed system is a system that provides voice guidance on the names and nutrition information of recognized products. This paper constructs a new dataset that augments the 319 classes of canned/late-night snack product image data using rotate matrix techniques, pepper noise, and salt noise techniques. The proposed system compared and analyzed the performance of YOLO v5n, YOLO v5m, and YOLO v5l models through hyperparameter tuning and learned the dataset built with YOLO v5n models. This paper compares and analyzes the performance of the proposed system with that of previous studies.

유튜브 영상을 통해 본 강릉 경포지구의 여행 특성 분석 (Identifying Travel Characteristics of Gangneung's Gyeongpo District as Observed through YouTube Videos)

  • 신주호;함광민
    • 한국환경과학회지
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    • 제33권8호
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    • pp.569-574
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    • 2024
  • This study analyzed the travel characteristics of Gangneung's Gyeongpo District and user reactions by utilizing YouTube videos. The findings were as follows: First, the most frequently visited places by YouTube video producers in Gyeongpo District were Gyeongpo Lake (55%) and Gyeongpo Beach (28%). In particular, videos featuring walks along the lake and beach paths were prominent, regardless of the season. Second, YouTube video producers predominantly enjoyed solo travel to Gyeongpo Lake (69%) and Gyeongpo Beach (71%), with notably few visits to historical sites. Third, viewers who watched YouTube videos related to Gyeongpo District preferred videos under 10-15 minutes in duration. Comments typically focused on "photos," "information," "solo travel," "hotels," and "healing," with positive evaluations of scenery and accommodations. Fourth, the top nine YouTube videos with the highest view counts were produced by individuals, with limited responses to videos produced by local governments or authorities. The findings identified popular tourist destinations and trends in the Gyeongpo District, noting a bias in visits and behaviors of video producers toward specific locations. This suggests the need to develop tourism resources by utilizing the natural and historical assets of Gyeongpo District. The findings are expected to guide future tourism policies, promotional efforts, and marketing strategies for Gyeongpo District.

A Study on Public Library Book Location Guidance System based on AI Vision Sensor

  • Soyoung Kim;Heesun Kim
    • International Journal of Internet, Broadcasting and Communication
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    • 제16권3호
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    • pp.253-261
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    • 2024
  • The role of the library is as a public institution that provides academic information to a variety of people, including students, the general public, and researchers. These days, as the importance of lifelong education is emphasized, libraries are evolving beyond simply storing and lending materials to complex cultural spaces that share knowledge and information through various educational programs and cultural events. One of the problems library user's faces is locating books to borrow. This problem occurs because of errors in the location of borrowed books due to delays in updating library databases related to borrowed books, incorrect labeling, and books temporarily located in different locations. The biggest problem is that it takes a long time for users to search for the books they want to borrow. In this paper, we propose a system that visually displays the location of books in real time using an AI vision sensor and LED. The AI vision sensor-based book location guidance system generates a QR code containing the call number of the borrowed book. When the AI vision sensor recognizes this QR code, the exact location of the book is visually displayed through LED to guide users to find it easily. We believe that the AI vision sensor-based book location guidance system dramatically improves book search and management efficiency, and this technology is expected to have great potential for use not only in libraries and bookstores but also in a variety of other fields.

가스 작업 안전 앱 시나리오 설계에 대한 연구 -배관 작업을 중심으로- (A Study on Application Design Scenarios for the Gas Safety Field Workers -focused on the pipe work-)

  • 이주아;김미혜;강봉희
    • 디지털융복합연구
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    • 제14권5호
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    • pp.273-281
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    • 2016
  • 가스 작업의 안전 관리 문제는 최근 발전 중인 사물네트워크(이하 IoT)를 활용하는 방향으로 연구되고 있다. 본 연구에서는 현재 국내.외에서 개발 중인 가스 시설 안전을 위한 IoT 시스템과 작업자를 효과적으로 연동시킬 수 있는 모바일 앱의 설계 방안을 모색할 예정이다. 이를 위해 문헌조사와 현장 조사, 전문가 자문 등의 연구 방법을 통하여 작업자 특성, 작업 특성, 작업장 특성 등을 연구하여 사용자 요구사항을 도출하였다. 이를 요약하면 1) 명확한 콘텐츠의 배열, 2) 가독성 높은 디자인, 3) 낮은 Death의 설계, 4) 사용자 용이성의 확보, 5) 모바일 기기 작동이 불가한 작업 구간에서의 효율적인 정보 송신 방안. 6) 작업 오류가 높은 구간에서의 알림 기능 활성화, 7) 작업시 필요한 안전 점검 사항의 빠른 양방향 송수신, 8) 사고 발생 시 작업자에게 상황을 바로 안내할 수 있는 이미지와 콘텐츠 선별, 9) 작업자 위치 지역의 위험도 알림 기능 등이라 할 수 있다. 이에 기초하여 사용자 용이성을 확보할 수 있는 가스작업 안전 앱의 기초 설계 방향을 제안하였다.