• Title/Summary/Keyword: context aware System

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Exploring the dynamic knowledge structure of studies on the Internet of things: Keyword analysis

  • Yoon, Young Seog;Zo, Hangjung;Choi, Munkee;Lee, Donghyun;Lee, Hyun-woo
    • ETRI Journal
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    • v.40 no.6
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    • pp.745-758
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    • 2018
  • A wide range of studies in various disciplines has focused on the Internet of Things (IoT) and cyber-physical systems (CPS). However, it is necessary to summarize the current status and to establish future directions because each study has its own individual goals independent of the completion of all IoT applications. The absence of a comprehensive understanding of IoT and CPS has disrupted an efficient resource allocation. To assess changes in the knowledge structure and emerging technologies, this study explores the dynamic research trends in IoT by analyzing bibliographic data. We retrieved 54,237 keywords in 12,600 IoT studies from the Scopus database, and conducted keyword frequency, co-occurrence, and growth-rate analyses. The analysis results reveal how IoT technologies have been developed and how they are connected to each other. We also show that such technologies have diverged and converged simultaneously, and that the emerging keywords of trust, smart home, cloud, authentication, context-aware, and big data have been extracted. We also unveil that the CPS is directly involved in network, security, management, cloud, big data, system, industry, architecture, and the Internet.

A Context-Aware Lecture Rooms Management System (상황인식 강의실 관리 시스템)

  • Park, Kyuhuen;Baek, Sunjae;Lee, Daesung;Yoon, Sungpil;Moon, Mikyeong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.231-234
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    • 2009
  • 일반적으로 사용자의 작업과 관련 있는 적절한 정보 또는 서비스를 제공하는 과정에서 '상황'을 사용하는 경우 이를 상황인식 시스템으로 정의한다. 상황인식 컴퓨팅 기술이 내장된 기기나 컴퓨터는 상황을 감지하여 적절하고 유용한 서비스를 제공하는 능력을 갖게 된다. 이러한 기술은 교육, 의료, 사무실 환경 등 다양한 분야에 걸쳐 활용된다. 특히 현대화된 강의실 환경은 각종 매체의 설치로 인해 전력소모가 심해지며, 매체들과 강의 환경의 효율적인 관리가 어려워지는 문제를 발생시키므로 상황인식 컴퓨팅 기술이 적용될 필요가 있다. 본 논문에서는 상황인식 기술을 이용한 강의실 관리 시스템을 제안한다. 이 관리 시스템은 다양한 센서 (온도, 조도, $CO_2$, 인체감지) 로부터 획득되는 저수준의 데이터를 사용자가 식별할 수 있는 추상화된 고수준의 정보로 변환하여 사용자에게 알려준다. 이 시스템을 구축함으로써 관리자는 강의실 내부에 설치된 매체들과 환경요소에 대한 상황을 쉽게 인식 할 수 있고, 강의실 내부의 상황변화에 대해 능동적으로 관리 할 수 있게 된다. 또한 강의실에 대한 과거의 이력정보를 검색 할 수 있음으로써 사전관리가 가능해짐에 따라 수동적인 관리로 인한 전력소비에 비해 전력절감 효과가 있고 쾌적한 강의실 환경을 학생들에게 제공 해 줄 수 있게 된다.

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Context-aware Framework for Battlefield Surveillance Sensor Network System (전장감시 센서네트워크 시스템을 위한 상황인식 프레임워크)

  • Heo, Lyong;Jin, Byeong Woon;Park, Seong Seung;Jeon, Seo In;Shon, Ho Sun;Ryu, Keun Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.11a
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    • pp.117-119
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    • 2010
  • 미래 전쟁은 과거의 재래식 전쟁과는 판이하게 변화된 환경 속에서 새로운 전투 형태와 방법으로 전개될 것이다. 특히, 첨단 기술의 급속한 발전은 전장에서 싸우는 방법을 변화시키는 주요 요인이라고 할 수 있다. 전장에서 적을 먼저 발견하고 타격하기 위해서는 실시간 표적 획득 및 첩보 수집과 정확한 상황판단 및 적시적인 지휘가 요구되기 때문에 정보 수집 자산이 부족한 사 여단급 부대를 대상으로 감시 정찰 센서 네트워크 시스템을 구축하는 것이 필요하다. 그러나 평시 체계와 전시 체계의 운용 개념이 부족한 상태에서 실 세계에 적용하는 것은 유지비용의 증가, 감지 오류, 야전 환경과의 부적합 등을 야기한다. 따라서, 이러한 문제점의 해결 대안으로 이 논문에서는 지상군 작전에서 적의 조기 발견과 전장 가시화에 필요한 전장감시 센서 네트워크 시스템을 위한 상황 인식 프레임 워크를 제안하였다.

Digital Marine Vessel Diagnosis System Based on Context Aware using Backpropagation Algorithm (역전파 신경망을 이용한 상황인식 기반 디지털 선박 진단 시스템)

  • Song, Byoung-Ho;Lee, Woo-Young;Lim, Moo-Seong;Lee, Yeonwoo;Jung, min-A;Lee, Seong-Ro
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.04a
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    • pp.334-337
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    • 2010
  • 디지털 선박 운행시 예기치 못한 상황에 의한 선박 내 화재나 충돌 등 긴급 상황 발생 시에 대형의 해난 사고가 발생할 수 있다. 이에 본 논문에서는 선박 상태를 자체 진단하여 모니터링하고 위험 분석을 통해 관리할 수 있는 시스템을 구현하고자 한다. 해양 디지털선박의 환경, 상황을 수집할 수 있는 무선 센서를 이용하여 수집된 환경 정보를 분석하는 시스템을 제안하였으며, 센싱된 데이터를 분석하기 위하여 역전파 신경망을 설계하였다. 300개의 데이터 집합을 사용하여 역전파 신경망을 실험한 결과 약 96%의 정확도를 가졌다. 제안된 시스템은 하드웨어 (UStar-2400 ISP, UStar-2400, Wireless sensors) 부분과 소프트웨어 부분(User Interface module)으로 구성되며 소프트웨어 부분은 HOST PC에 삽입된다. 그리고 시스템의 정확도를 개선하기 위하여 전방향 에러 정정 시스템(LDPC)을 구현하였고 진단된 결과는 CDMA 방식으로 전송하여 해양디지털선박 감지 모니터링 시스템을 구현했다.

Hybrid Group Path Planning System for Multiple Visitors (다수 방문자를 위한 혼합형 그룹 방문 경로 생성 시스템)

  • Shin, Choon-Sung;Woo, Woon-Tack
    • Journal of the HCI Society of Korea
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    • v.5 no.2
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    • pp.25-31
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    • 2010
  • This paper proposes a hybrid tour path planning system for multiple visitors in a museum. The proposed path planning system merges individual user profiles into a group profile by exploiting the multiplicative utilization algorithm. It then generates a tour path for the users based on mixed initiative decision of the system and the involved visitors. It automatically selects visiting sites when group users have highly similar preferences while it asks users to select their appropriate visiting sites among available sites when their preferences are different. We developed the hybrid path planning system based on a tabletop display and evaluated it with four different exhibition settings and 11 participants. We found that the mixed decision of the system and users was useful in building a tour path for a group of visitors.

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The context-aware service system development of the M2M base for the quick crime scene trace (신속한 범행현장 추적을 위한 M2M 기반의 상황인지 서비스 시스템 개발)

  • Lee, Jong-sung;Jeon, Min-ho;Oh, Chang-heon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.659-662
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    • 2012
  • In this paper, the service system the urgent of the danger area or the managed object region is proposed whether the system is autonomously the police or situation where it informs through the police car and it can convey the contextual information or not. In case the nodes location is continuously confirmed from the gateway and it queues and the event is generated in the server of system whether it is the situation, or not the system to be proposed transmits the event triggered message and system transmitting the video message to the nearby which the event is generated node. As a result of the test, in case the event was generated in the server whether it was the situation, or not it confirmed to transmit the video message as the route where it is stored in the server.

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A context-Aware Smart Home Control System based on ZigBee Sensor Network

  • Khan, Murad;Silva, Bhagya Nathali;Jung, Changsu;Han, Kijun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.2
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    • pp.1057-1069
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    • 2017
  • The applications of Wireless Sensor Networks (WSN) are progressively adopting for various smart home services such as home automation, controlling smart home household appliances, constrained application services in a smart home, etc. However, enabling a seamless and ubiquitous WSN communication between the smart home appliances is still a challenging job. Therefore, in this paper, we propose a smart home control system using an Actuator based ZigBee networking (AZNET). The working of the proposed system is further divided into three phases, 1) an interference avoidance system is adopted to mitigate the effect of interference caused due to the co-existence of IEEE 802.11x based wireless local area networks (WLAN) and WSN, 2) a sensor-based smart light control system is used to fulfill the light requirement in the smart home using the sunlight with light source, and 3) an autonomous home management system is used to regulate the usage time of the electronic appliances in the smart home. The smart is tested in real time environment to use the sunlight with light sources in a various time of the day. Similarly, the performance of the proposed smart home is verified through simulation using C# programming language. The results and analysis revealed that the proposed smart home is less affected by the interference and efficient in reducing the energy consumption of the appliances available in the smart home scenario.

Research of applied u-Health system using Inference Algorithm (추론 알고리즘을 적용한 유헬스 시스템 연구)

  • Shin, Su-Hong;Kim, Woo-Sung;Choi, Suny
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.11
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    • pp.5518-5524
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    • 2012
  • The world today, has come to an age of diverse paradigms and technologies being developed, and technology of a new field is realized by merging technologies of different fields.One of such, u-Health system refers to a system which can monitor its users, regardless of time and place, using many body sensor datas based on USN (Ubiquitous Sensor Network). In the past, this kind of u-Health system was able to collect sensor datas through wires and could be monitored only by using PC (Personal Computer), but with development in technology, the system is now becoming possible to collect sensor datas wireless and monitor unhindered by time and place. This research aims to collect sensor datas of the user, and through Jena inference network, provide web service and smartphone application which enables checking of user's body datas in times of emergency, whenever, wherever.

Proposition of System Algorithm for Implement Machine Socialization Environment (Machine Socialization 환경 구현을 위한 시스템 알고리즘 제안)

  • Kim, Wung-Jun;Im, Hyeok;Hwang, Jong-Seon;Jeong, Ji-O;Jung, Hoe-Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.595-597
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    • 2015
  • In recent years, global Internet of Things is being fostered by strategic industry in major countries (IoT: Internet of Things) technology is the future Internet -based context-aware infrastructure capable of communication between objects and things. Existing technology was only a single device control via P2M (Puman to Machine) method and simple sensor data to someone directly control the devices down command. However, a kind of IoT Machine Socialization of devices, each device uses an internal feature information, and M2M (Machine to Machine) devices in ways that expand the overall scenario collaboration system through the Device Manager. In this paper, an algorithm of the whole system of the Machine Socialization for changing the system of the conventional system of P2M by M2M, and analysis.

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An Object Detection System using Eigen-background and Clustering (Eigen-background와 Clustering을 이용한 객체 검출 시스템)

  • Jeon, Jae-Deok;Lee, Mi-Jeong;Kim, Jong-Ho;Kim, Sang-Kyoon;Kang, Byoung-Doo
    • Journal of Korea Multimedia Society
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    • v.13 no.1
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    • pp.47-57
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    • 2010
  • The object detection is essential for identifying objects, location information, and user context-aware in the image. In this paper, we propose a robust object detection system. The System linearly transforms learning data obtained from the background images to Principal components. It organizes the Eigen-background with the selected Principal components which are able to discriminate between foreground and background. The Fuzzy-C-means (FCM) carries out clustering for images with inputs from the Eigen-background information and classifies them into objects and backgrounds. It used various patterns of backgrounds as learning data in order to implement a system applicable even to the changing environments, Our system was able to effectively detect partial movements of a human body, as well as to discriminate between objects and backgrounds removing noises and shadows without anyone frame image for fixed background.