• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.3
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• pp.545-550
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• 2024

In a society undergoing rapid change, modern individuals are facing various stresses, and there's a noticeable increase in mental health treatments for children as well. For the psychological well-being of children, it's crucial to swiftly discern their emotional states. However, this proves challenging as young children often articulate their emotions using limited vocabulary. This paper aims to categorize children's psychological states into four emotions: depression, anxiety, loneliness, and aggression. We propose a method for constructing an emotion dictionary tailored for children based on assessments from child psychology experts.

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.33 no.4
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• pp.17-22
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• 2004

가정용 공기청정기의 집진, 탈취, 각종 부가기능 등의 개발 현황 및 성능시험 결과와 사회환경 변화에 따른 시장 동향을 소개한다. 건강과 환경에 대한 관심이 점점 높아져 가는 사회적 분위기 속에서 특히 인간에게 직접적으로 영향을 미치는 실내 공기질에 대한 문제는 사회적으로 중대한 이슈가 되고 있다. 사회구조가 변화하면서 실내에서 생활하는 시간이 점점 길어지고 이에 따라 실내 환경이 인간에게 미치는 영향 또한 커지고 있다. 특히 실내공간에서 부유 하는 분진, 세균류와 유기화합물(volatile organic compounds : VOCs), 포름알데히드(HCHO) 등이 인체에 미치는 영향에 대한 연구 결과가 대중에게 알려지면서 실내 공기질 개선에 대한 사회적 요구가 급증하고 있는 것이 사실이다. 따라서 최근 공기청정기의 수요가 호조를 보이고 있으며, 백색가전제품 중에서도 두자리수 성장을 계속하고 있는 상품 중 하나이다. 공기청정기는 건강을 지향하는 추세가 강한 요즘, 필수품으로서 정착했으며 well-being붐을 타고 더욱 확대되고 있다.(중략)

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.879-881
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• 2016

비침습적 맥파측정은 일상생활에서 손쉽게 활용이 가능하며 맥파신호의 계측을 통하여 건강모니터링을 함으로서 사용자의 지속적인 건강관리에 도움이 된다. 일반적인 맥파 측정을 위해선 경동맥, 대퇴골, 요골 동맥을 포함 만져서 할 수 있는 동맥에서 측정되거나 맥파 측정장비를 사용하여 측정하게 된다. 본 연구에서는 실시간 맥파측정과 병행하여 산소포화도의 모니터링을 위해 손목착용형 시스템을 구현하고 산소포화도의 추정 정확도를 높이기 위하여 광보정기법을 적용하였다. 실제 자연광 상태에서의 측정된 신호를 이용하여 광보정기법을 적용한 산소포화도 모니터링 기법을 적용하고 그 성능평가를 수행하였다.

• Annual Conference of KIPS
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• 2024.05a
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• pp.652-655
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• 2024

COPD(Chronic Obstructive Pulmonary Disease)는 장기간에 걸쳐 기도가 좁아지는 폐질환으로, 규칙적 운동은 호흡을 용이하게 하고 증상을 개선할 수 있는 주요 자가관리 중재법 중 하나이다. 건강정보 데이터와 인공지능을 사용하여 규직적 운동 이행군과 불이행군을 선별하여 자가관리 취약 집단을 파악하는 것은 질병관리 측면에서 비용효과적인 전략이다. 하지만 많은 양의 데이터를 확보하기 어렵고, 규칙적 운동군과 그렇지 않은 환자의 비율이 상이하기 때문에 인공지능 모델의 전체적인 선별 능력을 향상시키기 어렵다는 한계가 있다. 이러한 한계를 극복하기 위해 본 연구에서는 국민건강영양조사 데이터를 사용하여 머신러닝 모델인 XGBoost와 딥러닝 모델인 MLP에 오버샘플링, 언더샘플링, 가중치 부여 등 불균형 데이터 처리 기법을 적용 후 성능을 비교하여 가장 효과적인 불균형 데이터 처리 기법을 제시한다.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2005.11a
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• pp.57-60
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• 2005

자연채광은 실내공간의 쾌적성을 향상시키며, 재실자의 건강을 증진시킬 뿐만 아니라 에너지 절약적인 측면에서 시너지 효과를 발휘하고 있다. 이에 반사거울형 태양광채광시스템은 도시가 과밀하고 고층화됨에 따라 자연채광의 도입이 어려운 실내공간에 태양광을 도입할 수 있는 자연에너지 활용장치라 할 수 있다. 본 연구는 태양광채광시스템을 이용하여 주거건물 옥상에 1차반사거울을 설치하고, 반지하의 상부에 2차반사거울을 설치하여 거실공간에 태양광을 유입하였다. 시스템 미설치시와 설치시에 대한 거실의 바닥면조도와 외부조도를 동시에 측정하여 외부조도에 대한 내부조도의 비율인 주광조도비를 분석하고, 증감율을 구하여 반사거울형 태양광채광시스템의 성능을 평가하였다. 채광성능평가 결과 채광시스템의 설치로 인한 실내 주광조도비는 평균 $80{\sim}1,400%$정도 증가하는 것으로 나타났으며, 또한 창면부에 비해 실의 후면부가 2배 이상 증가한 것으로 나타나 채광성능이 매우 큰 것으로 나타났다. 따라서 본 연구에서 실험한 반사거울형 태양광 채광시스템은 주거건물에서의 적용이 용이하고 높은 채광성능을 제공할 수 있어 실내 빛환경 향상에 크게 기여할 수 있을 것으로 기대된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.115-117
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• 2017

R has become a popular analytics platform as it provides powerful analytic functions as well as visualizations. However, it has a weakness in which scalability is limited. As an alternative, the RHadoop package facilitates distributed processing of R programs under the Hadoop platform. This paper investigates usefulness of the RHadoop package when analyzing healthcare big data that is widely open in the internet space. To do this, this paper has compared analytic performances of R and RHadoop using the medical treatment records of year 2015 provided by National Health Insurance Service. The result shows that RHadoop effectively enhances processing performance of healthcare big data compared with R.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.331-336
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• 2018

Oral health is an essential requirement for maintaining and promoting health and quality of life while aging. It is known that there is a deep connection with hygienic management of dentures. However, despite the emphasis on the importance of clean management of dentures, there is a lack of quantitative research on denture-related detergents. Therefore, the purpose of this study is to evaluate food stain removal performance of three denture cleansers containing proteolytic enzymes. In addition, this study provides basic data on self-cleaning methods using detergents and suggests ways to improve effective treatment for oral health of elders in domiciliary care. In order to obtain quantitative data concerning food stain removal performance of each proteinase denture cleaner, the test evaluation method proposed by the Korean Consumer Agency, ISO 20795, was used. A total of 18 specimens were discolored for 48 hours in water dissolved with turmeric, and then washed with each denture cleaner for 24 hours. The cleaned denture specimens were measured quantitatively using a spectrophotometer to measure the color values of the denture specimens before the discoloration as well as the color values of the discolored specimens after cleaning with the denture cleanser. The experimental values were analyzed through one-way ANOVA with post-hoc Tukey's test, and statistically significant differences were found among the experimental groups. It was found that C had statistically significant stain removal performance compared with A and B(p<.05). All experiments were conducted for a total of 21 days, from July 3- 23, 2017. This study confirms that denture cleansers is a beneficial self-denture management method for domiciliary seniors. Therefore, it is necessary to extend accessibility for denture cleansers in order to to optimize domiciliary care for elderly oral hygiene and health.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.6
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• pp.197-204
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• 2015

Recent changes in health care environment including aging population and prevalence of chronic disease encourage the adoption of new innovative technological solutions including wearable vital sensors, wireless networks, and smart phone. In this paper, we present an effective at-home lifestyle monitoring system that can be used for self-management and health intervention of patient himself in the Management-by-Exception perspectives. We implemented the filtering and queuing algorithms as a preprocessor of monitoring system to enhance efficiency of proposed system, and the effective UX design for self-management of patients themselves. The 94,467 actual clinic data was used to test the efficiency of the proposed system. As as a result, 64.8% of the incoming vital data was identified to be filtered out.

• Smart Media Journal
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• v.12 no.3
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• pp.9-18
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• 2023

Due to the deepening of COVID-19, high-intensity social distancing has been prolonged and many social problems have been cured. In particular, physical and psychological isolation occurred due to the non-face-to-face system and a lot of damage occurred. The various social problems caused by Corona acted as severe stress for all those affected by Corona 19, and eventually acted as a factor threatening mental health such as depression. While the number of people suffering from mental illness is increasing, the actual use of mental health services is low. Therefore, it is necessary to establish a system for people suffering from mental health problems. Therefore, in this study, depression detection and emergency detection models were constructed based on sensor information using smartphones from depressed subjects and general subjects. For the detection of depression and emergencies, VAE, DAGMM, ECOD, COPOD, and LGBM algorithms were used. As a result of the study, the depression detection model had an F1 score of 0.93 and the emergency situation detection model had an F1 score of 0.99. direction.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.2
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• pp.221-231
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• 2013

Exchanging personal health information(PHI) is an essential process of healthcare services using information and communication technology. But the process have the inherent risk of information disclosure, so the PHI should be protected to ensure the reliability of healthcare services. In this paper, we designed encryption module for wearable personal health devices(PHD). A main goal is to guarantee that the real-time encoded and transmitted PHI cannot be allowed to be read, revised and utilized without user's permission. To achieve this, encryption algorithms as DES and 3DES were implemented in modules operating in Telos Rev B(16bit RISC, 8Mhz). And the experiments were performed in order to evaluate the performance of encryption and decryption using vital-sign measured by PHD. As experimental results, an block encryption was measured the followings: DES required 1.802 ms and 3DES required 6.683 ms. Also, we verified the interoperability among heterogeneous devices by testing that the encrypted data in Telos could be decoded in other machines without errors. In conclusion, the encryption module is the method that a PHD user is given the powerful right to decide for authority of accessing his PHI, so it is expected to contribute the trusted healthcare service distribution.