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이병복,홍상기,이계선,김내수,고정길,Lee, Byung-Bog,Hong, SangGi,Lee, Kyeseon,Kim, Naesoo,Ko, JeongGil The Korea Institute of Information and Commucation 2013 정보와 통신 Vol.30 No.10
By interacting with external wireless sensors, smartphones can gather high-fidelity data on the surrounding environment to develop various environment-aware, personalized applications. In this work we introduce the sensor virtualization module (SVM), which virtualizes external sensors so that smartphone applications can easily utilize a large number of external sensing resources. Implemented on the Android platform, our SVM simplifies the management of external sensors by abstracting them as virtual sensors to provide the capability of resolving conflicting data requests from multiple applications and also allowing sensor data fusion for data from different sensors to create new customized sensors elements. We envision our SVM to open the possibilities of designing novel personalized smartphone applications.
ATSN을 이용한 Ada Tasking 실행 시간 복잡도 표현에 관한 연구
이병복,유철중,김용성,장옥배 한국통신학회 1993 韓國通信學會論文誌 Vol.18 No.5
Marked Petri Net(MPN) 모델은 최대 병행 활성화 랑데부 수에 따른 통신 복잡도를 분석할 수 있게 해준다. 그러나 이 모델은 시간과 확률 속성(Time and Probability characteristics)을 명시할 수 없음으로 통신 복잡도의 새로운 개념인 실행 시간 복잡도를 분석할 수 없다. 본 논문에서는 이러한 실행 시간 복잡도를 효율적으로 분석하기 위해 MPN에 새로운 제약 조건인 net 절감 법칙, 실행 시간, 그리고 확률 조건을 도입한 Ada Tasking Structure Nets(ATSN)을 제안한다. 끝으로 ATSN 모델을 이용하여 통신 복잡도의 분석 효과를 보인다. Marked Petri Net(MPN) is used to analyze communication complexity with respect to the maximum number of concurrently active rendezvous. But, because it cannot represent timed & probability characteristics explicitly, it is not used to analyze the new execution time of complexity with respect to the communication. Thus to effectively analyze that execution time complexity, we propose Ada Tasking Structure Nets (ATSN) introduced restrictive conditions : net reduction rules, execution time, and probability. Finally, we show the powers of analyze of communication complexity with ATSN.
LonRF 지능형 디바이스 기반의 유비쿼터스 홈네트워크 테스트베드 개발
이병복,박애순,김대식,노광현 제어로봇시스템학회 2004 제어·로봇·시스템학회 논문지 Vol.10 No.6
This paper describes the ubiquitous home network (uHome-net) testbed and LonRF intelligent devices based on LonWorks technology. These devices consist of Neuron Chip, RF transceiver, sensor, and other peripheral components. Using LonRF devices, a home control network can be simplified and most devices can be operated on LonWorks control network. Also, Indoor Positioning System (IPS) that can serve various location based services was implemented in uHome-net. Smart Badge of IPS, that is a special LonRF device, can measure the 3D location of objects in the indoor environment. In the uHome-net testbed, remote control service, cooking help service, wireless remote metering service, baby monitoring service and security & fire prevention service were realized. This research shows the vision of the ubiquitous home network that will be emerged in the near future.