• Proceedings of the Korean Information Science Society Conference
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• 2006.06b
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• pp.112-114
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• 2006

최근 영상 인식 정보를 서비스 로봇 도메인에서 사용하기 위한 연구와 함께 전통적인 영상 인식 방법의 성능을 높이기 위한 연구가 진행되고 있다. 기존의 방법들은 기하학적 모델을 기반으로 예측 가능한 환경에서 상황을 인식하였기에 이를 실내 환경과 같은 동적인 환경에 적용하는 것은 정확도나 인식의 효율 면에서 한계를 갖는다. 이에 지식 기반 접근 방법을 통해 정확도를 항상 시키거나 계산 비용을 감소시킴으로써 영상 인식성능을 높이기 위한 다양한 연구가 있어 왔다. 본 논문에서는 서비스 로봇이 물체를 탐색할 때, 대상 물체가 다른 물체에 의해 가려짐으로써 발생하는 불확실한 상황을 해결하기 위한 방법을 제안한다. 제안하는 방법은 발견된 물체를 컨텍스트 정보로 사용하여 대상 물체의 존재 여부를 추론하며, 이를 위해 신뢰도를 모델링할 수 있는 확률적 모델인 베이지안 네트워크와 도메인 지식을 모델링 할 수 있는 온톨로지를 함께 사용한다. 효과적인 모델링을 위해 본 논문에서는 기본적인 물체 관계를 모듈화 하여 설계하기 위한 베이지안 네트워크 구조와 확률 값 선정 방법. 이들을 온톨로지를 기반으로 주어진 상창에 따라 결합하는 방법을 제안한다. 이는 물체 관계를 모델링할 때 발생하는 중복 설계를 감소시켜주고 유지 및 보수를 용이하게 한다. 설계된 추론 모듈은 실험 결과 5가지 장소에서 높은 정확도를 보여주었다.

• Journal of Sensor Science and Technology
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• v.11 no.5
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• pp.279-285
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• 2002

Two $SnO_2$ based sensing films(pure $SnO_2$ and $SnO_2$/Pt) and a Pt thin film for temperature sensor on an alumina substrate were designed and fabricated for classifying the indoor environmental gases. By controlling the heating power in the shape of trapezoid, unique four sensing response curves created from both $SnO_2$ film and $SnO_2$/Pt film. Then, various parameters were extracted from sensing response curves and carried out principal component analysis(PCA). The results confirm that a sensor array with the proposed operating mode was extremely effective in classifying indoor environmental gases such as $CO_2$, $C_3H_8$, $C_4H_{10}$.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.807-810
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• 2007

Recently, ultra-wideband (UWB) technology based on the transmission of short duration pulses has gained much interest for its application to wireless communications. UWB small scale channel modeling work, including statistical characterization and potential models, are discussed. The significance, in terms of performance, of the channel impulse response model chosen for the simulation of UWB communications systems is also evaluated. Three traditional models are found to be useful for modeling NLOS UWB channels, but not LOS channels. In this paper, a new model for LOS UWB channels is presented and shown to represent LOS channels much more accurately than the traditional models.

• Journal of KIISE:Computing Practices and Letters
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• v.12 no.1
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• pp.56-65
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• 2006

Recently the study on service robots has been proliferated in many fields, and there are active developments for indoor services such as supporting for elderly people. It is important for robot to recognize objects and situations appropriately for effective and accurate service. Conventional object recognition methods have been based on the pre-defined geometric models, but they have limitations in indoor environments with uncertain situation such as the target objects are occluded by other ones. In this paper we propose a Bayesian network model to reason the probability of target objects for effective detection. We model the relationships between objects by activities, which are applied to non-static environments more flexibly. Overall structure is constructed by combining common-cause structures which are the units making relationship between objects, and it makes design process more efficient. We test the performance of two Bayesian networks for verifying the proposed Bayesian network model through experiments, resulting in accuracy of $86.5\%$ and $89.6\%$ respectively.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.2
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• pp.271-278
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• 2021

This paper is a study on the implementation of smart filter system that recognizes the external environment and automatically removes pollutants according to pollution level. Recently, the occurrence of various pollutants in indoor and outdoor space has adversely affected the human body. Especially, various fine dust generated in the atmosphere becomes worse in closed residential space or office space. Although air pollution can be temporary lowered through ventilation, it is difficult to respond to fine dust changes in real time, and such problems become serious in the space where many people reside, such as at home or industry. Therefore, it is necessary to measure the pollution level of fine dust inside the residential space in real time and to reduce the pollution of indoor ventilation through automatic ventilation with the outside. To improve these problems, this paper proposes the implementation of smart filter system for external environment recognition. The structure of smart filter system that automatically measures air quality inside and outside, removes pollutants, implements the function, and confirms the operability by manufacturing prototypes. Finally, the effectiveness of the smart filter system for solving fine dust problems was examined.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.1D
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• pp.73-79
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• 2006

A major purpose of this study is to develop high modulus asphalt mixtures for perpetual asphalt pavements which can save maintenance cost by increasing the design and performance periods of the pavements. Various physical and mechanical laboratory tests are performed for the high modulus asphalt binder developed in this study. The test results show that the properties of the high modulus binder are similar to those of the French high modulus binders. In addition to the binder tests, various performance tests are conducted for the high modulus and conventional mixtures. The dynamic modulus test results indicate that the dynamic modulus values of the high modulus mixtures are higher than those of the conventional mixtures by 10~15% at $5^{\circ}C$, 20~25% at $15^{\circ}C$ and 100% at $30^{\circ}C$. It is observed from the performance tests that the high modulus mixtures yield better fatigue, rutting and moisture damage performance than the conventional mixtures.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.1
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• pp.159-165
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• 2010

The moving object monitoring and transforming personal robot system based on remote controls is designed and implemented, and the performance of the system is analyzed in this paper. The major considering factors in the system design are such as 1) the control scheme design (button based and the remote control schemes); 2) the operation modes design (wheel driving mode/pedestrian mode/auto driving mode/observation mode); 3) the remote control function design; 4) the design of the monitoring function of the changes in neighbor environments; 5) the design of the detection of obstruction. From the experiments, it is assured that the developed personal robot can walk to the grounds that covered with doorsill or electric wires in indoors by control the leg articulations, and can escape from the obstruction using three infrared sensors in the 30cm*30cm obstruction styled space under the auto driving mode.

• Korean Journal of Construction Engineering and Management
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• v.20 no.1
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• pp.133-140
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• 2019

The concrete mix should be designed and produced to reflect the specific site conditions during concrete placement. That is, the concrete mix design should be planned considering temperatures, work environments, pouring methods, etc. The objective of this research is to understand the external factors of curing temperature and delay time that influence concrete strengths during pouring work, and provide concrete mix design that can be most robust to the effects of external factors. The Taguchi's robust method is used in preparing the concrete mix design to achieve the research objective. In a case study, an indoor concrete test was performed to find the optimal combination of concrete mixes with external factors of curing temperature and delay time. Concrete test cylinders were made to test concrete strengths given different external factors. The study results showed that the optimal performance of concrete strength can be achieved by applying the robust method when preparing a concrete mix design.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.1003-1006
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• 2009

Recently, Ubiquitous computing technology is increasing necessity for object recognition and a location tracking technology to meet various applications. The location tracking technology is the fundamental to the Context-Aware of users in Ubiquitous environment and its efficiency has to be improved using IEEE 802.15.4 ZigBee used in current infra such as ubiquitous sensor network. But because the IEEE 802.15.4 ZigBee protocol has limitation to apply location tracking technology such as ToA and TDoA, Zone-based Location Tracking technology using RSSI is needed. In this paper suggests RSSI-based 802.15.4 ZigBee local positioning protocol to support a positioning tracking service in Ubiqutous environment. And Zone-based location tracking system is designed for actual the indoor location tracking service.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.10a
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• pp.199-200
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• 2014

최근 국내에서는 경제적 여유와 함께 웰빙에 관심이 높아지며 도심생활에서 벗어나 수변공간, 해양레저활동 등이 주목받고 있다. 이에 따라 수상에서의 다양한 활동을 수용할 수 있는 플로팅 건축물에 대한 관심이 증가하고 있으며, 플로팅 건축물을 이용한 다양한 용도와 기능의 건축물들이 수상에 설치되고 있다. 플로팅 건축물 역시 사람들의 생활을 위한 공간으로 육상의 일반 건축물과 같이 쾌적한 거주환경 제공을 위하여 다양한 설비들이 설치되고 있다. 하지만 플로팅 건축물은 수상에 위치한 입지적 특성으로 인하여 육상의 일반건축물과 다른 환경적 요인을 고려한 설비시스템 도입이 필요함에도 불구하고 수상환경을 고려한 설비시스템의 설치는 이루어지지 않고 있다. 특히, 실내의 쾌적한 거주환경 유지를 위하여 중요한 요소인 냉난방설비는 충분한 성능을 발휘하기 위하여 시스템설계 전 충분한 환경적 요소를 고려한 부하산정이 필요하다. 따라서 본 연구에서는 플로팅 건축물의 입지적 특성을 고려하여 냉난방 시스템 설계 시 일반건축물에 적용되는 부하산정 요소 외 해수온도, 해수면 반사일사 및 창면적비를 부하산정 요소로 도입하고 각 요소별 특성을 고찰하여 플로팅 건축물 냉난방부하에 어떤 영향을 미치는지에 대하여 종합적으로 고찰하였다.