• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2006.05a
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• pp.213-217
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• 2006

An intelligent performance diagnostic program using the Neural Network was proposed for PW206C turboshaft engine. It was selected as a power plant for the tilt rotor type Smart UAV (Unmanned Aerial Vehicle) which has been developed by KARI (Korea Aerospace Research Institute). For teaming the NN, a BPN with one hidden, one input and one output layer was used. The input layer had seven neurons of variations of measurement parameters such as SHP, MF, P2, T2, P4, T4 and T5, and the output layer used 6 neurons of degradation ratios of flow capacities and efficiencies for compressor, compressor turbine and power turbine. Database for network teaming and test was constructed using a gas turbine performance simulation program. From application results for diagnostics of the PW206C turboshaft engine using the learned networks, it was confirmed that the proposed diagnostics algorithm could detect well the single fault types such as compressor fouling and compressor turbine erosion.

• Journal of the Korean Society of Propulsion Engineers
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• v.10 no.2
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• pp.15-22
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• 2006

An intelligent performance diagnostic program using the Neural Network was proposed for PW206C turboshaft engine. It was selected as a power plant for the tilt rotor type Smart UAV(Unmanned Aerial Vehicle) which is being developed by KARI (Korea Aerospace Research Institute). For teeming the NN(Neural Network), a BPN(Back Propagation Network) with one hidden, one input and one output layer was used. The input layer has seven neurons: variations of measurement parameters such as SHP, MF, P2, T2, P4, T4 and T5, and the output layer uses 6 neurons: degradation ratios of flow capacities and efficiencies for compressor, compressor turbine and power turbine, respectively, Database for network teaming and test was constructed using a gas turbine performance simulation program. From application of the learned networks to diagnostics of the PW206C turboshaft engine, it was confirmed that the proposed diagnostics algorithm could detect well the single fault types such as compressor fouling and compressor turbine erosion.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.2953-2961
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• 2014

Dementia once occurred is known to be mostly irreversible but can be treated only if it is detected early; especially vascular Dementia. Thus, in this paper we have developed Dementia diagnosis and care application through inter-working between biometric sensors and smart phone. With developing serious game for the demented elderly, we proposed ons-stop solution for Dementia; smart-phone application with diagnosis, prevention and mitigation of Dementia. Since the proposed game for mitigating Dementia requires sense of space and balance using both arms instead of operating simple arrow button, a treatment effect for Dementia will be doubled. If we tried to forestall, ease and cure Dementia with the proposed application. the social losses from Dementia would be minimized as a result.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.358-360
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• 2017

모바일 기술을 활용하여 질병을 예방하고 건강을 증진하는 모바일 헬스(m-health)는 그 영역을 확장하고 있다. 특히 20-30대의 젊은 연령층 사이에서 각종 스마트 기기를 활용하여 건강데이터를 관리하는 트렌드가 확산되고 있으며, 이들이 건강서비스를 제공받는 경로로 스마트폰이 가장 큰 비중을 차지하고 있다. 또한 정부에서는 경제구조 변화에 대응하고, 고령화로 인한 복지문제를 해결하기 위한 방안으로 ICT 융합 의료산업을 주목하고 있다. 이에 맞추어 모바일 애플리케이션을 통해 사용자에게 체크리스트를 제공하고, 체크 항목에 따라 그에 대한 결과를 발병가능 질병, 필요한 검사 등의 정보를 제공해주고, 사용자들의 자가진단 통계치를 웹사이트를 통해 보여주는 것을 개발하였다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.06a
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• pp.54-55
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• 2022

해양에 설치된 항로표지는 선박의 안전한 항해를 위해 위치 정보를 제공하고, 항로표지에 부착된 센서를 통해 다양한 해양 정보를 수집하고 있다. 하지만 항로표지는 육지와 멀리 떨어진 해상이라는 특수한 작업환경으로 인해 항로표지 유지보수를 위한 많은 시간과 비용이 발생하게 된다. 현재 항로표지에 부착된 센서를 통해 다양한 정보를 수집하고 있지만, 정상 데이터와 비정상 데이터를 구분할 수 있는 정보가 없어 고장진단에 어려움이 있다. 따라서 본 연구에서는 항로표지 센서 고장진단을 위해 머신러닝 비지도학습 중 하나인 K-means 알고리즘을 활용하여 정상 데이터와 비정상 데이터로 군집화하였으며, 분류가 잘 되는 것을 확인할 수 있었다. 향후 연구방향으로는 2개의 클러스터로 구분된 데이터가 실제로 정상 데이터인지, 비정상 데이터인지에 대한 비교·분석이 필요하다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.711-714
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• 2014

Recently, the our country has a geriatric dementia patients with poor social welfare policies for the State because it's got a patient exodus and disappearance increases and can cause serious problems socially. The dissemination and the development of communication technologies and smart devices with mobile applications in the diagnosis of dementia through mobile devices and applications, interactions, the Inspector, on behalf of the dementia self-diagnostics, with the possibility of that feature will be able to meet. Therefore, the dissemination of the use of the EEG analysis of patient in the hatch every smart phones use the law hatch proposes a service model for every patient. Proposed dissertation smart service model on the Android platform and identify the symptoms of dementia patients around as a reminder to the patient can be easily managed.

• Magazine of the Korea Institute for Structural Maintenance and Inspection
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• v.17 no.3
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• pp.92-98
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• 2013

• Magazine of the Korea Institute for Structural Maintenance and Inspection
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• v.16 no.3
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• pp.19-22
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• 2012

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.4
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• pp.81-87
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• 2016

With the rapid growth of the up-to-date smartphone and wireless network technologies, huge and various types of smart applications using these technologies are actively developed recently. Especially, multiplex types of smart applications using smartphone are developed and diffused with the rapid development of the ubiquitous sensor network technology using various sensors and the mobile computing technology that enables us to get network services at any time in any places. In this paper, we design a smart application that can accurately diagnose and process the current state of the local environment, objects, and persons remotely based on the context information such as local ecology, circumstances, medical or healthcare records and realtime sound or motion pictures using up-to-date samrtphone technology on the USN based mobile computing environment.

• Science of Emotion and Sensibility
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• v.9 no.1
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• pp.77-84
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• 2006

In this study, there was emphasis in presenting a basic direction for the development of a healthcare smart clothing that could monitor diseases. It was also important that the clothing be user-friendly, for everyday life. For achieving this purpose , we studied major health indicators and essential technologies for developing healthcare smart clothing, and carried out the consumer research regarding healthcare smart clothing so it would appeal to consumers. As a result, there was a high demand for clothing that could diagnose diseases such as hypertension, diabetes and metabolic diseases, for all age groups. Thus, its marketability was predicted to be high. The results of this study will become an important index in developing future healthcare smart clothing.