• 한국건축시공학회지
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• 제16권6호
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• pp.535-544
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• 2016

정부차원에서 한국형 'K-Smart City'모델을 활용하여 건설과 ICT산업의 융합사업인 해외 Smart City시장 진출을 적극 추진하고 있다. Smart City사업의 특성상 시설물 시공품질과 ICT시스템 개발품질이 동시에 확보되어야 Smart City시설물의 품질향상이 가능하다. 그러나 Smart City사업 특성에 맞는 통합된 품질관리 프로세스 및 가이드가 미흡한 실정이다. 이로인해 국내 실증 프로젝트에서는 건설 품질관리와 ICT 품질관리가 분리된 형태로 관리되어 Smart City시공품질이 저하되는 문제점이 발생되고 있다. 본 연구에서는 Smart City프로젝트 구축단계의 시공품질 향상을 위하여 현장시공(통합운영센터 및 현장설비)과 ICT시스템 개발공정이 융합된 통합품질관리 프로세스를 연구하였다. Smart City사례 프로젝트에 본 연구에서 제안한 통합품질관리 프로세스를 적용한 결과, 시공검측시 시설물 부적합건 발생이 22% 감소하였고, ICT인프라 납품자재의 품질시험을 추가로 실시하여 18%의 부적합 사항을 설치전에 조치하여 시공품질이 향상되는 것을 확인하였다. 본 연구에서 제안한 통합품질관리 프로세스는 향후 Smart City 현장에 활용이 가능할 것으로 기대한다.

• 로봇학회논문지
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• 제3권4호
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• pp.278-286
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• 2008

Reliable functionalities for autonomous navigation and object recognition/handling are key technologies to service robots for executing useful services in human environments. A considerable amount of research has been conducted to make the service robot perform these operations with its own sensors, actuators and a knowledge database. With all heavy sensors, actuators and a database, the robot could have performed the given tasks in a limited environment or showed the limited capabilities in a natural environment. With the new paradigms on robot technologies, we attempted to apply smart environments technologies-such as RFID, sensor network and wireless network- to robot functionalities for executing reliable services. In this paper, we introduce concepts of proposed smart environments based robot navigation and object recognition/handling method and present results on robot services. Even though our methods are different from existing robot technologies, successful implementation result on real applications shows the effectiveness of our approaches.

• 충청수학회지
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• 제20권4호
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• pp.355-366
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• 2007

In this paper, we propose a new blind group identification protocol and a hidden group signature protocol as its application. These protocols involve many provers and one verifier such that (1) the statement of all the provers are proved simultaneously, (2) and also all the provers using computationally limited devices (e.g. smart cards) have no need of computing the bilinear pairings, (3) but only the verifier uses the bilinear pairings. A. Saxena et al. proposed a two-round blind (group) identification protocol in 2005 using the bilinear pairings. But it reveals weakness in the active-intruder attack, and all the provers as well as the verifier must have devices computing bilinear pairings. Comparing their results, our protocol is secure from the active-intruder attack and has more fit for smart cards. In particular, it is secure under only the assumption of the hardness of the Discrete-Logarithm Problem in bilinear groups.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권4호
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• pp.1796-1816
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• 2020

The health and safety of elderly and disabled patients who cannot live alone is an important issue. Timely detection of sudden events is necessary to protect these people, and anomaly detection in smart homes is an efficient approach to extracting such information. In the real world, there is a causal relationship between an occupant's behaviour and the order in which appliances are used in the home. Bayesian networks are appropriate tools for assessing the probability of an effect due to the occurrence of its causes, and vice versa. This paper defines different subsets of random variables on the basis of sensory data from a smart home, and it presents an anomaly detection system based on various models of Bayesian networks and drawing upon these variables. We examine different models to obtain the best network, one that has higher assessment scores and a smaller size. Experimental evaluations of real datasets show the effectiveness of the proposed method.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2009년도 학술대회
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• pp.989-995
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• 2009

Smart Dining Table is an ongoing project in our Interaction Design Lab. It is a table top display designed to facilitate dining process. Smart Dining Table uses touchable interface to interact with users, providing a new, interesting and efficient experience in dining process. In GuangZhou, the south city of China, Yam Cha is a traditional and local way of entertainment in which normally elders gather together with friends or relatives to have tea and snack, and most importantly, to chat. Yam Cha has a long history in China, and Guangzhou has developed its own unique "Yam Cha" culture. In this paper, we discuss about previous research we did on Yam Cha in GuangZhou, and the approach we propose to manage and analyze issues related to dining table to help designing specific version of Smart Dining Table which can fit right into the Yam Cha process and cultural environment.

• 한국전자통신학회논문지
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• 제6권4호
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• pp.553-558
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• 2011

스마트 그리드는 기존의 전력망에 디지털 정보망을 결합한 지능형 전력망으로 전력공급자와 사용자간에 양방향 통신을 통해서 전력을 공급 및 제어함으로써 전기 에너지 이용 효율을 극대화한다. 본 연구에서는 스마트 그리드를 지원하기 위해 스마트 수용가를 위한 컴퓨터 기반의 병렬 통신을 이용한 3상 전력 데이터 수집 솔루션을 설계하고 그 시작품을 제작하는 것을 연구목표로 한다.

• 동력기계공학회지
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• 제13권1호
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• pp.65-71
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• 2009

To address the need for new intelligent sensing, this paper introduces nano sensors made of carbon nanotube (CNT) composites and presents their preliminary experiments. Having smart material properties such as piezoresistivity, chemical and bio selectivity, the nano composite can be used as smart electrodes of the nano sensors. The nano composite sensor can detect structural deterioration, chemical contamination and bio signal by means of its impedance measurement (resistance and capacitance). For a structural application, the change of impedance shows specific patterns depending on the structural deterioration and this characteristic is available for an in-situ multi-functional sensor, which can simultaneously detect multi symptoms of the structure. This study is anticipated to develop a new nano sensor detecting multiple symptoms in structural, chemical and bio applications with simple electric circuits.

• Journal of Communications and Networks
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• 제14권6호
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• pp.597-605
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• 2012

With the smart grid coming near, wide-area supervisory control and data acquisition (SCADA) becomes more and more important. However, traditional SCADA systems are not suitable for the openness and distribution requirements of smart grid. Distributed SCADA services should be openly composable and secure. Event-driven methodology makes service collaborations more real-time and flexible because of the space, time and control decoupling of event producer and consumer, which gives us an appropriate foundation. Our SCADA services are constructed and integrated based on distributed events in this paper. Unfortunately, an event-driven SCADA service does not know who consumes its events, and consumers do not know who produces the events either. In this environment, a SCADA service cannot directly control access because of anonymous and multicast interactions. In this paper, a distributed security framework is proposed to protect not only service operations but also data contents in smart grid environments. Finally, a security implementation scheme is given for SCADA services.

• Smart Structures and Systems
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• 제1권3호
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• pp.257-266
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• 2005

In Lamb wave detection of damages in smart structures, the excitation pulse is usually designed as a narrow band burst wave for the convenience of analysis and recognition. However, the wideband excitation can excite more modes in plate/shell structure and thus provides extra information for changes of the structure. This paper presents a method that can extract information in wideband Lamb wave signals. By transforming the detected signals into various sub-frequency band, the measured signal can be converted to its equivalences of narrow band excitations, therefore, the information in different frequency bands can be acquired from a single test and in the same time the complicity of wideband signal can be simplified. Some test results are provided to verify this method.

• Journal of Information Processing Systems
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• 제15권6호
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• pp.1335-1349
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• 2019

Crowdsensing technologies can improve the efficiency of smart parking system in comparison with present sensor based smart parking system because of low install price and no restriction caused by sensor installation. A lot of sensing data is necessary to predict parking lot saturation in real-time. However in real world, it is hard to reach the required number of sensing data. In this paper, we model a saturation predication combining a time-based prediction model and a sensing data-based prediction model. The time-based model predicts saturation in aspects of parking lot location and time. The sensing data-based model predicts the degree of saturation of the parking lot with high accuracy based on the degree of saturation predicted from the first model, the saturation information in the sensing data, and the number of parking spaces in the sensing data. We perform prediction model learning with real sensing data gathered from a specific parking lot. We also evaluate the performance of the predictive model and show its efficiency and feasibility.