• 제목/요약/키워드: Smart Skin

검색결과 115건 처리시간 0.024초

스마트 베이스 레이어 의복의 효과적인 발열모드 설정을 위한 사용자의 자율적 가열행동 연구 (User's Voluntary Heating Behavior for the Programming of the Efficient Heating Mode of Smart Base Layer Clothing)

  • 이희란;홍경희;이예진;김소영
    • 한국의류학회지
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    • 제41권5호
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    • pp.872-882
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    • 2017
  • There are no specific guidelines on how to control the heat input for the heat generating smart base layer. This study investigated the mode of actuating heat pad attached to the base layer by performing a human wear test in a cold environment. Subjects participating in the test wore T-shirts, jumper and pants on the base layer with heating pads. Skin temperature, total time of heating and the number of switching for the heating mode were observed as the subject controlled the heating mode voluntarily. The comfortable range of skin temperature on the abdomen was larger than on the lower back. The subject felt hot and turned off the switch when the mean skin temperature of the abdomen was $48.8^{\circ}C$ and the lower back was $40.1^{\circ}C$. The total heating time and the number of actuating switching were larger for women than men. The voluntary action of heating for men with high cold sensitivity was significantly different from men with low cold sensitivity. Therefore, it is necessary (depending on gender and cold sensitivity) to set the heating mode differently for the automatic heat control of a future smart base layer.

Ti3Ci2Tix MXene 기반 전극 소재의 자가 치유 적용 기술 개발 동향 (Recent Progress of Ti3Ci2Tix MXene Electrode Based Self-Healing Application)

  • 최준상;정승부;김종웅
    • 마이크로전자및패키징학회지
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    • 제30권3호
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    • pp.20-34
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    • 2023
  • 수 나노미터의 두께의 단일 또는 여러 층으로 구성된 2차원 소재는 전기전도성, 유연성, 광학적 투명성 등의 고유한 특성으로 많은 연구 분야에서 활용되고 있다. 이 중 Electronic skin (E-Skin)이나 Smart Textile 과 같은 반복적인 기계적 동작이 수반될 수 있다. 또한, 온도, 습도, 압력과 같은 외부적 요인에 노출이 되는 경우가 빈번하다. 이 때, 소자의 내구성과 수명 저하를 유발하기 때문에 자가 치유 특성이 내포된 소자를 제작하기 위한 연구가 많이 이루어지고 있다. 최근 다양한 2차원 소재 중 자가 치유 기능을 구현할 수 있는 Ti3Ci2Tix MXene 기반 전극의 복합 소재의 연구 결과가 학계의 주목을 받고 있다. 본 논문에서는 Ti3Ci2Tix MXene의 다양한 합성 방법 및 특성에 대해 소개한 후, Ti3Ci2Tix MXene 전극 기반의 자가 치유 적용 기술 사례에 대해 알아보고자 한다.

Current Development in Bio-implantable Sensors

  • Swarup, Biswas;Yongju, Lee;Hyojeong, Choi;Hyeok, Kim
    • 센서학회지
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    • 제31권6호
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    • pp.403-410
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    • 2022
  • Flexible and wearable sensing technologies have emerged as a result of developments in interdisciplinary research across several fields, bringing together various subjects such as biology, physics, chemistry, and information technology. Moreover, various types of flexible wearable biocompatible devices, such customized medical equipment, soft robotics, bio-batteries, and electronic skin patches, have been developed over the last several years that are extensively employed to monitor biological signals. As a result, we present an updated overview of new bio-implantable sensor technologies for various applications and a brief review of the state-of-the-art technologies.

봄 가을 피부특성 및 서시옥용산(西施玉容散) 저온숙성비누의 계절별 효능연구 (Study of Skin Characteristics in Spring·Autumn and seasonal efficacy of Seosiokyongsan CP soap)

  • 최상락;구진숙
    • 대한한의학회지
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    • 제40권2호
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    • pp.133-141
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    • 2019
  • Objectives: The condition of the skin is greatly influenced by seasonal changes. We wanted to know the seasonal change of skin condition and to find out the difference in the efficacy of Seoshiokyongsan (SSOOS) CP soap in spring and autumn. We are to help people who use soap to make a wise choice in choosing a cleanser according to the season. Methods: To investigate the seasonal skin condition, this experiment was conducted to examine the skin condition of spring and autumn in 20 students at A university. To compare the seasonal efficacy of Seosiokyongsan (SSOOS) CP soap, we had skin test 10 students in spring and autumn. We made herbal fermented soaps using SSOOS and distributed them to experiment participants. We let them wash their face in the morning and evening for 6 weeks using herbal fermented soap. Prior to the experiment, their skin condition was checked and assessed using A-ONE Smart One-Click Automatic Facial Diagnosis System three times at 3-week intervals. After the experiment, the changes of skin were measured and analyzed through facial analysis test. Results: In spring and autumn, the oil of T zone and U zone was significantly less and the water content was significantly higher in autumn than in spring. In the case of using the SSOOS CP soap, water content increased and oil content decreased in spring, oil content and elasticity increased in autumn. Conclusion: There is a difference in the skin condition according to the season and SSOOS CP soap showed difference in efficacy in spring and autumn. So we should pay attention to seasonal soap selection.

Frog-inspired programmable nano-architectures for skin patches and medical applications

  • Kim, Da Wan;Baik, Sang Yul;Kim, Jungwoo;Kim, Ji Won;Pang, Changhyun
    • 한국진공학회:학술대회논문집
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    • 한국진공학회 2016년도 제50회 동계 정기학술대회 초록집
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    • pp.366-366
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    • 2016
  • Nanoscale observation of attachment systems of animals has revealed various exquisite multiscale architectures for essential functions such as gecko's locomotion, beetles' wing fixation, octopuses' sucking and crawling. In particular, the hierarchical 3-dimensional hexanonal nano-architectures in the tree frog's adhesion is known to have the capability of the enhancement of adhesion forces on the wet or rough surfaces due to the conformal contacts against rough surfaces and water-drainable micro channels. Here, we report that tree frog-inspired patches using unique artificial 3-dimensional hexagonal structures can be exploited to form reversibly enhanced adhesion against various highly curved and rough surfaces in dry and wet condition. To investigate the adhesion effect of micro-channels, we changed the arrangement of microstructure and spacing gaps between micro-channels. In addition, we introduced the 3-dimensional hexagonal hierarchical architectures to artificial patches to enhance to conformal contacts on the various rough surfaces such as skin and organs. Using the robust adhesion properties, we demonstrated the self-drainable and comfortable skin-attachable devices which can measure EKG (electrokardiogramme) for in-vitro diagnostics. As a result, bio-inspired programmable nano-architectures can be applied in versatile devices such as, medical patches, skin-attachable electronics etc., which would shed light on future smart, directional and reversible adhesion systems.

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한약 저온숙성비누가 여드름 피부에 미치는 영향 (Effects of herbal Cp soap on acne skin)

  • 최상락;서부일;구진숙
    • 대한본초학회지
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    • 제34권3호
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    • pp.37-44
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    • 2019
  • Objectives : Acne is a common disease that affects more than 70% of adolescents. Acne patients have a poor quality of life compared to patients with other skin diseases. We tried to demonstrate the effectiveness of acne treatment using cleansing soap which is easily used in daily life. Methods : We selected 20 students with acne symptoms on their facial skin. We made herbal Cp (Cold process) soaps using Seosiokyongsan, Kyungohkgo, Hwangryunhaedoktang and Baeksoooh and distributed them to experiment participants. We let them wash their face in the morning and evening for 6 weeks using herbal Cp soap. Prior to the experiment, their skin condition was checked and assessed using A-ONE Smart One-Click Automatic Facial Diagnosis System three times at 3-week intervals. Acne status was classified into 6 stages according to KAGS and acne status was also measured 3 times in total. After the experiment, the changes of skin were analyzed through facial analysis test. Results : Based on the KAGS classification, the condition of acne has improved as a whole. The state of moisture was gradually increased and the state of skin oil was significantly decreased after 6 weeks of using soap compared to before using soap. Conclusions : Cp soaps made from four kinds of herbal medicine are believed to improve the condition of acne by increasing the moisture of the facial skin and decreasing the skin oil content.

메이크업 화장품용 분체에 관한 연구 (A Study on the Powders for Makeup Cosmetics)

  • 고종성;이진휘;성기천
    • 한국응용과학기술학회지
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    • 제29권2호
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    • pp.286-294
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    • 2012
  • 본 연구는 메이크업 화장품용 분체에 관한 리뷰논문이다. 분체는 피부 결함 은폐, 자외선 차단, 화장 지속성, 피부보호의 역할을 주요목적으로 한다. 이러한 기능은 분체의 형태제어, 표면처리, 캡슐화로 부여된다. 미래의 분체는 환경변화에 응답하는 스마트 형태로 진화할 것으로 보인다.

Automatic Segmentation of Skin and Bone in CT Images using Iterative Thresholding and Morphological Image Processing

  • Kang, Ho Chul;Shin, Yeong-Gil;Lee, Jeongjin
    • IEIE Transactions on Smart Processing and Computing
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    • 제3권4호
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    • pp.191-194
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    • 2014
  • This paper proposes a fast and efficient method to extract the skin and bone automatically in CT images. First, the images were smoothed by applying an anisotropic diffusion filter to remove noise. The whole body was then detected by thresholding, which was set automatically. In addition, the contour of the skin was segmented using morphological operators and connected component labeling (CCL). Finally, the bone was extracted by iterative thresholding.

스마트 홈에서의 TV 제어 시스템을 위한 손 제스처 인식 방법 (A hand gesture recognition method for an intelligent smart home TV remote control system)

  • 김대환;조상호;천영재;김대진
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2007년도 가을 학술발표논문집 Vol.34 No.2 (C)
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    • pp.516-520
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    • 2007
  • This paper presents a intuitive, simple and easy smart home TV remote control system using the hand gesture recognition. Hand candidate regions are detected by cascading policy of the part of human anatomy on the disparity map image, Exact hand region is extracted by the graph-cuts algorithm using the skin color information. Hand postures are represented by shape features which are extracted by a simple shape extraction method. We use the forward spotting accumulative HMMs for a smart home TV remote control system. Experimental results show that the proposed system has a good recognition rate of 97.33 % for TV remote control in real-time.

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Anomaly Sewing Pattern Detection for AIoT System using Deep Learning and Decision Tree

  • Nguyen Quoc Toan;Seongwon Cho
    • 스마트미디어저널
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    • 제13권2호
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    • pp.85-94
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    • 2024
  • Artificial Intelligence of Things (AIoT), which combines AI and the Internet of Things (IoT), has recently gained popularity. Deep neural networks (DNNs) have achieved great success in many applications. Deploying complex AI models on embedded boards, nevertheless, may be challenging due to computational limitations or intelligent model complexity. This paper focuses on an AIoT-based system for smart sewing automation using edge devices. Our technique included developing a detection model and a decision tree for a sufficient testing scenario. YOLOv5 set the stage for our defective sewing stitches detection model, to detect anomalies and classify the sewing patterns. According to the experimental testing, the proposed approach achieved a perfect score with accuracy and F1score of 1.0, False Positive Rate (FPR), False Negative Rate (FNR) of 0, and a speed of 0.07 seconds with file size 2.43MB.