• Title/Summary/Keyword: Convergence technologies

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Evaluation of Collaborative Filtering Methods for Developing Online Music Contents Recommendation System (온라인 음악 콘텐츠 추천 시스템 구현을 위한 협업 필터링 기법들의 비교 평가)

  • Yoo, Youngseok;Kim, Jiyeon;Sohn, Bangyong;Jung, Jongjin
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.7
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    • pp.1083-1091
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    • 2017
  • As big data technologies have been developed and massive data have exploded from users through various channels, CEO of global IT enterprise mentioned core importance of data in next generation business. Therefore various machine learning technologies have been necessary to apply data driven services but especially recommendation has been core technique in viewpoint of directly providing summarized information or exact choice of items to users in information flooding environment. Recently evolved recommendation techniques have been proposed by many researchers and most of service companies with big data tried to apply refined recommendation method on their online business. For example, Amazon used item to item collaborative filtering method on its sales distribution platform. In this paper, we develop a commercial web service for suggesting music contents and implement three representative collaborative filtering methods on the service. We also produce recommendation lists with three methods based on real world sample data and evaluate the usefulness of them by comparison among the produced result. This study is meaningful in terms of suggesting the right direction and practicality when companies and developers want to develop web services by applying big data based recommendation techniques in practical environment.

Derivation of System Requirements and Scenario for Smart Bridge Facility Management System Development (스마트 교량 관리시스템 개발을 위한 요구사항 및 활용 시나리오 도출)

  • Hong, Sungchul;Kang, Taewook;Hong, Changhee;Moon, Hyounseok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.11
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    • pp.7902-7909
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    • 2015
  • The needs for smart city management technology has been increased for efficiently managing huge and complex social infrastructures. Thus, this research introduces smart bridge facility management system based on sensor and BIM technologies so that the inadequacy of current facility maintenance system and the limitations of data objectivity, consistency and expandability can be improved. For which, current trends on sensor and BIM technologies and standard information system were investigated to derive system develop requirements, and a scenario was suggested to discuss how to utilize the suggested system. Research outcomes are expected to be utilized as a preliminary research for developing the real application framework for bridge facility management.

The Study of Industrial Trends in Automotive Sensors Industry (차량용 센서 산업분석 및 발전방안)

  • Heo, Pil-sun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.829-832
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    • 2009
  • Recently, IT-centered convergence between different industries has undergone rapid expansion, accompanied by major advances in u-IT development and digital convergence. Notably, in the automotive-IT convergence sector, automotive sensors and electronic devices interact closely and intelligently with each other, thereby increasing driver safety and convenience and creating the optimal driving environment. This has led to the generation of value-added for the future-oriented automotive industry. Sensing technologies - which are used to monitor traffic situations and transmit correct information (or warnings) on the road traffic situation to car drivers, and to provide accurate information to road traffic controllers - represent both the birth of high-safety, intelligent automotive technologies and the key to automotive manufacturing. In view of these developments, this paper examines the characteristics and structure of the automotive sensor industry, and outlines the policy implications for the automotive sensor industry with regard to the development of the automotive-IT convergence industry.

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A Study on the Development of Wearable Smart Fashion Product - Focused on the Construction of Optimized Functionalities for Particular Needs - (웨어러블 기능성 스마트 패션제품 개발 연구 - 특정사용자를 위한 특수한 기능성 구현을 중심으로 -)

  • Lee, Hyunseung;Lee, Jaejung
    • Fashion & Textile Research Journal
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    • v.21 no.2
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    • pp.133-140
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    • 2019
  • This study developed smart fashion prototypes that provide utilitarian functionality by combining Fashion and Electronics regarding the IT focused convergence tendency in modern industries. A convergence R&D workshop was performed by Fashion design majors and Engineering majors for the study. As a result, 5 functional smart fashion prototypes were developed and the outline of each prototype are as follows. The $1^{st}$ prototype, 'Hidden Camera Detecting Coat' focused on gender-related crimes. The coat uses infrared lighting and LED technologies to provide a function to detect hidden cameras in suspicious public spaces such as toilets. The $2^{nd}$ prototype, 'Heating-massage Suit' targeted patients with musculoskeletal system difficulties. The suit uses heating and vibration technologies to provide a heating massage treatment for patients with ongoing difficulties in their daily lives. The $3^{rd}$ prototype is an air-bag jacket to prevent sexual molestation on public transportation. The jacket extends its volume through pressure sensing, air compressing, motors and 3D-printing technology to secure the wearer's personal preventive space between the user's body and others. The $4^{th}$ prototype is a town wear for people suffering from synesthesia. People with synesthesia inadvertently see colors when exposed to certain sounds. This town wear uses sound sensing, air compressing, motors and 3D-printing technology to provide sound prevention and a comfortable sound playing function. The $5^{th}$ prototype is a set of a vest and a gloves for visually impaired people. The vest and gloves uses DMS, voice playing, vibration technology to provide distance measuring and warning functions.

Technology convergence analysis of e-commerce(G06Q) related patents with Artificial Intelligence (인공지능 기술이 포함된 전자상거래(G06Q) 관련 특허의 기술 융복합 분석)

  • Jaeruen Shim
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.17 no.1
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    • pp.53-58
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    • 2024
  • This study is about the technology convergence analysis of e-commerce related patents containing Artificial Intelligence applied for in Korea. The relationships between core technologies were analyzed and visualized using social network analysis. As a result of social network analysis, the core IPC codes that make up the mutual technology network in e-commerce related patents containing Artificial Intelligence were found to be G06Q, G06F, G06N, G16H, G10L, H04N, G06T, and A61B. In particular, it can be confirmed that there is an important convergence of data processing-related technologies such as [G06Q-G06F], [G06Q-G06N], and voice and image signals such as [G06Q-G10L], [G06Q-H04N], and [G06Q-G06T]. Using this research method, it is possible to identify future technology trends in e-commerce related patents and create new Business Models.

Convergence Monitoring Technologies for Traffic Tunnels - State of the Art (터널의 내공변위 자동화 계측기술 분석)

  • Chung So-Keul
    • Tunnel and Underground Space
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    • v.15 no.1 s.54
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    • pp.1-8
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    • 2005
  • Measurement of convergence was/is carried out manually throughout the world for tunnels under construction. However, manual method has certain limitations in terms of applicability for the tunnels in operation. This paper describes state of the art of convergence monitoring systems which are available for measuring displacement of existing tunnels. These technologies are analyzed as follows: 1 The Sofo system using the fiber optic sensors has been applied to the stress measurement of the tunnel lining. It has not yet been used for the monitoring of tunnel convergence because of its cost and reliability 2. A TPMS(Tunnel Profile Monitoring System) using tilt sensors and displacement sensors is used for the convergence monitoring of highway tunnels, subway tunnels and underground ducts. 3. A BCS(Bassett Convergence System) using a pair of tilt sensors can be used for the convergence monitoring of tunnels, however the accuracy of the measurement has to be improved because it uses AC input voltage during data acquisition. The system has to be validated before it can be applied to the tunnels in operation. Convergence monitoring systems using TPMS and/or BCS are recommended to be evaluated and improved by a series or tests in tunnels under construction in order to be applied to the main measuring section and the tunnels in operation.

Energy Harvesting System for Underground Facility Sensor (지하시설물용 센서 네트워크를 위한 에너지 획득 장치)

  • Kwon, Young-Min;Lee, Hyung-Su
    • 한국정보통신설비학회:학술대회논문집
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    • 2009.08a
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    • pp.136-137
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    • 2009
  • In this paper, we introduce UFSN(Underground Facility Sensor Network) in order to build the intelligent management system for the underground facility and drainage in convergence with ubiquitous technologies and propose the energy harvesting system for UFSN.

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