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IT 융합형 스마트 야외체육기구 연구 (A Study on an IT Converged Smart Outdoor Exercise Equipment)

  • 노광현;안재성;김상훈;서정민;신명국;이건녕;김동식;이경훈
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2016년도 추계학술발표대회
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    • pp.874-875
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    • 2016
  • This paper proposes the architecture and major functionalities of IT converged smart outdoor exercise equipment and health cashback system. It provides basic information such as date, time, weather information, and display the amount of exercise, thermal images for monitoring the change of user's body temperature and health cashback point. The amount of exercise is transferred to a health cashback server via mobile communication network and the server provides the exercise history and health cashback point. Also, as additional public services, a fine dust alarm light and an emergency alarm function are embedded. The proposed IT converged smart outdoor exercise equipment will be a reference model for studying and commercializing the next generation product.

상이점을 이용한 GeoContents의 효율적인 관리 방법 (Effective Management Method of the GeoContents using Differences)

  • 박선례;김재철;이규철
    • 한국공간정보시스템학회 논문지
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    • 제11권4호
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    • pp.65-73
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    • 2009
  • 컴퓨터와 정보통신기술의 발전에 따라 디지털 콘텐츠의 생산과 네트워크를 통한 유통이 자유롭게 되었고 여러 분야에서 디지털 콘텐츠의 수요가 급증하여 콘텐츠 시장이 급성장하고 있으며 지리정보 데이터와 같은 대용량의 데이터를 저장하고 이를 효율적으로 관리할 수 있어야 한다. 본 논문에서는 이전 지리정보 데이터와 업데이트된 지리정보 데이터를 비교하여 그 둘 사이에 상이점들을 고압축 표현하고 효율적으로 관리하고자 한다. 업데이트된 지리정보 데이터 전체가 전송되는 것이 아니라 고압축된 상이점만 전송되기 때문에 네트워크 트래픽이 감소하고 대용량 GeoContents의 유통 및 온라인 서비스 시 다운로드 시간을 단축시킬 수 있다.

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광경화성 액정과 비반응성 네마틱 액정 혼합 필름의 분자 배향 및 광학 특성 (Molecular Orientation and Optical Properties of Liquid Crystal Mixture Films of Photo-Reactive Mesogens and Non-Reactive Nematic Liquid Crystals)

  • 이몽룡;신미영;김성현;송기국
    • 폴리머
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    • 제35권5호
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    • pp.493-498
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    • 2011
  • Reactive mesogen인 광경화성 액정은 광반응에 의해 분자들이 네트워크 구조를 형성하여 초기 액정 분자들의 배향을 유지한 상태로 필름을 만들 수 있다. 광경화성의 reactive mesogen과 광반응 그룹이 없는 네마틱 액정을 혼합하여 경화 전과 후의 액정 혼합물의 배향을 비교하였고, 비반응성 네마틱 액정의 양과 온도에 따른 액정필름의 복굴절 변화를 조사하였다. 네마틱 액정의 양에 따라 복굴절이 다른 필름을 얻을 수 있어 reactive mesogen을 이용한 광학 보상필름 응용 가능성을 확인하였다.

Construction of a Remote Monitoring System in Smart Dust Environment

  • Park, Joonsuu;Park, KeeHyun
    • Journal of Information Processing Systems
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    • 제16권3호
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    • pp.733-741
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    • 2020
  • A smart dust monitoring system is useful for obtaining information on rough terrain that is difficult for humans to access. One of ways to deploy sensors to gather information in smart dust environment is to use an aircraft in the Amazon rainforest to scatter an enormous amount of small and cheap sensors (or smart dust devices), or to use an unmanned spacecraft to throw the sensors on the moon's surface. However, scattering an enormous amount of smart dust devices creates the difficulty of managing such devices as they can be scattered into inaccessible areas, and also causes problems such as bottlenecks, device failure, and high/low density of devices. Of the various problems that may occur in the smart dust environment, this paper is focused on solving the bottleneck problem. To address this, we propose and construct a three-layered hierarchical smart dust monitoring system that includes relay dust devices (RDDs). An RDD is a smart dust device with relatively higher computing/communicating power than a normal smart dust device. RDDs play a crucial role in reducing traffic load for the system. To validate the proposed system, we use climate data obtained from authorized portals to compare the system with other systems (i.e., non-hierarchical system and simple hierarchical system). Through this comparison, we determined that the transmission processing time is reduced by 49%-50% compared to other systems, and the maximum number of connectable devices can be increased by 16-32 times without compromising the system's operations.

해운대리점의 인터넷 구매/조달 프로세스 구축 (Internet-based Procurement Process for Marine Service)

  • 서준용;고재문;고형일
    • 한국정보시스템학회지:정보시스템연구
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    • 제10권1호
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    • pp.51-72
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    • 2001
  • E-commerce has not only brought about a great change in the way we exchange goods and services but also revolutionized the way we handle business transactions. In addition, it has a significant influence upon the present business structure, and most of firms in service industry as well as manufacturing are considering adopting E-commerce in a serious manner. Most vessels purchase merchandises through a number of shipping agents. As the amount of harbor materials increase, the number of vessels and their navigation frequency also increase. As a result, the amount of procurement for ships has increased. Traditional means such as telephone and fax to handle ever-increasing harbor transaction, however, has proved to be very time-consuming and cost ineffective. Therefore, people are starting to look for more effective ways. In this paper, an internet-based scheme of B2B transaction is proposed to handle procurement problem between shipping agency and shipping company, and between vessel and suppliers as a more effective approach to streamline such problems. We extract problems of shipping agency through task-analysis and present a scheme that performs decision making and procurement as a system agent with brokering structure. Purchaser and supplier are offered material information rapidly and task loads are minimized by the scheme. Also, the system can support decision making of purchasing goods, and information is shared among purchaser, supplier and system through the system interface.

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Intelligent Traffic Prediction by Multi-sensor Fusion using Multi-threaded Machine Learning

  • Aung, Swe Sw;Nagayama, Itaru;Tamaki, Shiro
    • IEIE Transactions on Smart Processing and Computing
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    • 제5권6호
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    • pp.430-439
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    • 2016
  • Estimation and analysis of traffic jams plays a vital role in an intelligent transportation system and advances safety in the transportation system as well as mobility and optimization of environmental impact. For these reasons, many researchers currently mainly focus on the brilliant machine learning-based prediction approaches for traffic prediction systems. This paper primarily addresses the analysis and comparison of prediction accuracy between two machine learning algorithms: Naïve Bayes and K-Nearest Neighbor (K-NN). Based on the fact that optimized estimation accuracy of these methods mainly depends on a large amount of recounted data and that they require much time to compute the same function heuristically for each action, we propose an approach that applies multi-threading to these heuristic methods. It is obvious that the greater the amount of historical data, the more processing time is necessary. For a real-time system, operational response time is vital, and the proposed system also focuses on the time complexity cost as well as computational complexity. It is experimentally confirmed that K-NN does much better than Naïve Bayes, not only in prediction accuracy but also in processing time. Multi-threading-based K-NN could compute four times faster than classical K-NN, whereas multi-threading-based Naïve Bayes could process only twice as fast as classical Bayes.

SNS의 해시태그를 이용한 감정 단어 수집 시스템 개발 (Development of Emotional Word Collection System using Hash Tag of SNS)

  • 이종화;이윤재;이현규
    • 한국정보시스템학회지:정보시스템연구
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    • 제27권2호
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    • pp.77-94
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    • 2018
  • Purpose As the amount of data became enormous, it became a time when more efforts were needed to find the necessary information. Curation is a new term similarly to the museum curator, which is a service that helps people to collect, share, and value the contents of the Internet. In SNS, hash tag is used for emotional vocabulary to be transmitted between users by using (#) tag. Design/methodology/approach As the amount of data became enormous, it became a time when more efforts were needed to find the necessary information. Curation is a new term similarly to the museum curator, which is a service that helps people to collect, share, and value the contents of the Internet. In SNS, hash tag is used for emotional vocabulary to be transmitted between users by using (#) tag. Findings This study base on seven emotional sets such as 'Happy', 'Angry', 'Sad', 'Bad', 'Fearful', 'Surprised', 'Disgusted' to construct 327 emotional seeds and utilize the autofill function of web browser to collect 1.5 million emotional words from emotional seeds. The emotional dictionary of this study is considered to be meaningful as a tool to make emotional judgment from unstructured data.

호텔 키오스크 품질 속성이 고객만족과 관계지속의도에 미치는 영향 (The Effect of Kiosk Quality Attributes of Hotel on Customer Satisfaction and Relationship Continuity Intention)

  • 한종헌;서정운
    • 디지털산업정보학회논문지
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    • 제19권4호
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    • pp.193-203
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    • 2023
  • This study aims to propose a reasonable and effective kiosk operation plan for hotels planning to introduce kiosks by verifying how the quality attributes of hotel kiosks, which have recently been rapidly increasing starting with mid-priced hotels, affect customer satisfaction and relationship continuity intention. An online survey was conducted for customers using hotel kiosks. 300 copies were collected, 61 insincere responses were removed, and 239 copies were verified. As a result of the analysis, first, hotel kiosk quality attributes, display color, device design, internal UI, amount of information, display brightness and response speed were found to have a significant impact on customer satisfaction and were partially adopted. Second, in terms of relationship continuity intention, the display color, internal UI, amount of information, and response speed were found to be significant and were partially adopted. Third, customer satisfaction showed significant results in relationship continuity intention. These research results showed partial differences from previous studies on general kiosk users and restaurant kiosk users, and based on these results, academic and practical implications were derived.

무선 센서 네트워크에서 트래픽 정보를 이용한 토폴로지 제어 기법 (TRaffic-Aware Topology Control Algorithm in Wireless Sensor Networks)

  • 정연수;최훈;백윤주
    • 한국통신학회논문지
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    • 제33권7B호
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    • pp.510-517
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    • 2008
  • 센서 네트워크는 조밀하게 배치된 많은 수의 센서 노드로 구성되며, 극심한 에너지 제약을 가진다. 또한 네트워크의 충분한 통신 영역과 센싱 영역을 확보 할 수 있도록 스스로 토폴로지를 구성해야 한다. 본 논문에서는 이러한 토폴로지를 구성하기 위해 무선 센서 네트워크의 트래픽 정보를 이용하여 에너지 효율을 향상시키는 기법(TRaffic-Aware Topology control: TRAT)을 제시한다. 제안한 기법은 트래픽 정보를 근거로 활동 노드의 수와 각 노드의 전송 세기를 조절한다. 실험 결과, 제안한 기법은 기존의 토폴로지 제어 기법과 비교하여 30% 정도의 성능 향상을 보였다.

주성분 분석과 k 평균 알고리즘을 이용한 문서군집 방법 (Document Clustering Technique by K-means Algorithm and PCA)

  • 김우생;김수영
    • 한국정보통신학회논문지
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    • 제18권3호
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    • pp.625-630
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    • 2014
  • 컴퓨터의 발전과 인터넷의 급속한 발전으로 정보의 양이 폭발적으로 증가하게 되었고 이러한 방대한 양의 정보들은 대부분 문서 형태로 관리되기 때문에, 이들을 효과적으로 검색하고 처리하는 방법의 연구가 필요하다. 문서 군집은 문서간의 유사도를 바탕으로 서로 연관된 문서들을 군집화하여 대용량의 문서들을 자동으로 분류하고 검색하고 처리하는데 효율과 정확성을 증대시킨다. 본 논문은 특징 벡터 공간 상의 벡터들로 표현되는 문서들을 K 평균 알고리즘으로 군집화할 때, 주성분 분석을 사용하여 초기 시드점들을 선정함으로써 군집의 효율을 높이는 방법을 제안한다. 실험 결과를 통하여 제안하는 기법이 기존의 K 평균 알고리즘보다 좋은 결과를 얻을 수 있음을 보였다.