• 재활복지공학회논문지
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• 제6권2호
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• pp.31-41
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• 2012

의료기기의 발전과 IT융합기술의 접목으로 때와 장소에 관계없이 생체신호의 측정이 가능하게 되었으며, 다양한 형태의 u-헬스케어 기기가 개발되어 일상생활과 가정에서 불편함이 없이 건강변수 측정이 가능하게 되었다. 또한 사용자를 고려해 의복처럼 착용하고 생활하며 생체 신호를 측정할 수 있는 스마트 의류에 전도성 섬유의 활용이 이루어지고 있다. 하지만 이러한 u-헬스케어 기기에 대한 연구 및 개발이 우선되고 있는 반면 성능평가 기준 마련은 미흡한 실정이다. 이에 시판전의 시험검사나 시판후의 수거 검사 시에 성능평가를 위한 표준시험방법 개발 등에 따른 가이드라인 마련에 힘을 쓰고 있는 실정이다. 본 논문에서는 섬유적 특성 시험을 통해 전도성 섬유의 착용형 u-헬스케어 기기에 전극으로 접목 가능성 여부를 연구하였다.

• 센서학회지
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• 제31권2호
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• pp.79-84
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• 2022

Self-powered sensors play an important role in everyday life, and they cover a wide range of topics. These sensors are meant to measure the amount of relevant motion and transform the biomechanical activities into electrical signals using triboelectric nanogenerators (TENGs) since they are sensitive to external stimuli such as pressure, temperature, wetness, and motion. The present advancement of TENGs-based self-powered wearable, implantable, and patchable sensors for healthcare monitoring, human body motion, and medication delivery systems was carefully emphasized in this study. The use of TENG technology to generate electrical energy in real-time using self-powered sensors has been the topic of considerable research among various leading scholars. TENGs have been used in a variety of applications, including biomedical and healthcare physical sensors, wearable devices, biomedical, human-machine interface, chemical and environmental monitoring, smart traffic, smart cities, robotics, and fiber and fabric sensors, among others, as efficient mechanical-to-electric energy conversion technologies. In this evaluation, the progress accomplished by TENG in several areas is extensively reviewed. There will be a discussion on the future of self-powered sensors.

• 패션비즈니스
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• 제18권3호
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• pp.134-147
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• 2014

The aim of this study is to create smart wear that brings out the perspective person's individuality and creativity wearing these garments through various interactions. It is intended to build a prototype for a "Shape-folding Dress", which is length-adjustable skirt that responses with the environment of the wearer. In this process, four basic physical properties can be identified with fabric samples selected which are relatively stiff, including fusible interlining, organdy, silk, and ramie. In addition, two types of folding pattern specimens, "Basic Pattern" and "Diamond Pattern", and heat-steam were used to make the specimens so that the correlation could be calculated by recovery rate among flexing, stiffness and tensile properties. As a result, compared to other fabrics, the silk showed low stress to repeat folding and unfolding process, and its recovery rate of elongation deformation was stable without being affected by the different folding types and twice repeated process. In this study, forming a circuit using an Arduino, illuminance sensor, motors, and pulley, the prototype was created with a silk fabric.

• Journal of Information Processing Systems
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• 제16권4호
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• pp.760-773
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• 2020

When a crime occurs, the information necessary for solving the case, and various pieces of the evidence needed to prove the crime are collected from the crime scene. The tangible residues collected through scientific methods at the crime scene become evidence at trial and a clue to prove the facts directly against the offense of the suspect. Therefore, the scientific investigation and forensic handling for securing objective forensic in crime investigation is increasingly important. Today, digital systems, such as smartphones, CCTVs, black boxes, etc. are increasingly used as criminal information investigation clues, and digital forensic is becoming a decisive factor in investigation and trial. However, the systems have the risk that digital forensic may be damaged or manipulated by malicious insiders in the existing centralized management systems based on client/server structure. In this paper, we design and implement a blockchain based digital forensic management model using Hyperledger Fabric and Docker to guarantee the reliability and integrity of digital forensic. The proposed digital evidence management model allows only authorized participants in a distributed environment without a central management agency access the network to share and manage potential crime data. Therefore, it could be relatively safe from malicious internal attackers compared to the existing client/server model.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2024년도 제69차 동계학술대회논문집 32권1호
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• pp.331-334
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• 2024

하이퍼레저 패브릭(Hyperledger Fabric)은 참여자의 신원을 확인하고, 정보교환(트랜잭션)의 유효성을 검증하는 허가형 블록체인 모델이다. 기존의 대표적인 블록체인 모델인 비트코인, 이더리움과 대비하여 효율적인 데이터 검증 방안이 가능한대, 체인코드와 채널, 그리고 피어를 중심으로 구성되어 있기 때문이다. 먼저 본 블록체인 모델은 '체인코드'라는 스마트 계약(컨트랙트)를 실행하며 허가된 사용자만 네트워크에 참여할 수 있다. 또한, '채널' 기능이 있어 서로 다른 조직 간의 데이터 공유와 검증에 대한 새로운 접근방식을 보여줄 수 있으며, 특정 네트워크 내에서 데이터를 분리할 수 있다. 이를 통해 특정 데이터에 대한 접근권한을 제어하는 기능을 제공하며 동시에 데이터의 신뢰성과 보안성을 높일 수 있다. 마지막으로 '피어'는 체인코드를 통해 들어온 트랜잭션을 검증하고, 유효한 데이터만 원장에 추가하는 기법으로 무결성을 유지하는 데 중요한 역할 담당하고 있다. 본 연구결과를 기반으로 하이퍼레저 패브릭을 효과적으로 활용하여 데이터 검증 프로세스가 산업계에 널리 적용될 수 있기를 기대한다.

• 대한기계학회논문집A
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• 제41권2호
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• pp.81-85
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• 2017

섬유강화 고분자 복합재료는 섬유 형태의 강화제와 고분자 형태의 기지재료가 결합된 형태로 이는 무게 대비 고강도 및 고강성의 구조물 제작에 용이하다. 본 연구에서는 형상기억합금 와이어가 삽입된 섬유 강화 지능형 연성 복합재 구동기를 제작, 이의 재료 구성에 따른 거동 특성을 평가 하고자 한다. 구동기는 형상기억합금이 포함된 구동층과 일반 구조층으로 구성되어 한 층씩 적층되는 방식으로 제작되며 재료 구성에 따른 거동 특성을 살펴보기 위하여 일반 구조층으로 사용된 유리섬유 직물의 적층 수, 기지재료의 종류를 달리한 뒤 구동 특성을 살펴보았다. 또한, 구동 시에 요구되는 인가 전류의 양을 달리하여 최대 구동각과 최대 구동각에 도달하는 구동 시간을 측정하였다.

• 한국멀티미디어학회논문지
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• 제24권8호
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• pp.1044-1058
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• 2021

Tempered electronic contents have multiplied in last few years, thanks to the emergence of sophisticated artificial intelligence(AI) algorithms. Deepfakes (fake footage, photos, speech, and videos) can be a frightening and destructive phenomenon that has the capacity to distort the facts and hamper reputation by presenting a fake reality. Evidence of ownership or authentication of digital material is crucial for combating the fabricated content influx we are facing today. Current solutions lack the capacity to track digital media's history and provenance. Due to the rise of misrepresentation created by technologies like deepfake, detection algorithms are required to verify the integrity of digital content. Many real-world scenarios have been claimed to benefit from blockchain's authentication capabilities. Despite the scattered efforts surrounding such remedies, relatively little research has been undertaken to discover where blockchain technology can be used to tackle the deepfake problem. Latest blockchain based innovations such as Smart Contract, Hyperledger fabric can play a vital role against the manipulation of digital content. The goal of this paper is to summarize and discuss the ongoing researches related to blockchain's capabilities to protect digital content authentication. We have also suggested a blockchain (smart contract) dependent framework that can keep the data integrity of original content and thus prevent deepfake. This study also aims at discussing how blockchain technology can be used more effectively in deepfake prevention as well as highlight the current state of deepfake video detection research, including the generating process, various detection algorithms, and existing benchmarks.

• 한국염색가공학회지
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• 제23권1호
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• pp.43-50
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• 2011

Electrically conductive yarn coated with silver particles are widely used to make smart wear but recent studies on smart fabrics are focused on measuring method of electrical characteristics and improving technologies of its electric properties. Also durability of conductive yarn with environmental change was also important work to make smart fabric. We compared resistance changes of silver coated conductive yarns under various physical and chemical conditions such as repeated strain, heat exposure and pH for basic informations on smart wear manufacturing process. And we deduct that repeated strain among the physical conditions was most effective factors on yarn resistance change and the low resistance change was observed with increasing the number of filaments in identical yarn fineness.

• Composites Research
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• 제30권1호
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• pp.26-34
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• 2017

본 연구에서는 직물섬유 복합재의 열전도를 구하는데 있어 기존의 연구보다 개선된 방법을 제시하고, 직물섬유의 기하학적 구조가 복합재의 열전도도 향상에 미치는 영향, 그리고 유전 알고리즘(Genetic algorithm)을 이용하여 복합재의 열전도도 향상을 위한 최적구조 설계에 관한 연구를 하였다. 직물섬유의 구조를 토우의 물결무늬와 너비 및 두께를 이용하여 구현하였고, 열전도도는 열전기유사법(Thermal-electrical analogy)을 이용하여 구하였다. 유전 알고리즘에서 염색체 문자열은 fill과 warp tow의 두께와 너비로 하였고 복합재의 열전도도를 향상 시키는 방향으로 목적함수를 정하였다. 연구결과 직물섬유 복합재의 열전도도를 예측을 위한 향상된 방법이 제시되었고, 섬유토우 사이의 간격(inter-tow gap)이 넓어 질수록 복합재의 열전도도가 감소하는 것으로 나타났다. 직물섬유 복합재의 구조 최적화에서는 이론적 수치해석 결과가 제시되었는데, 전체적으로 섬유토우(tow)의 축의 수직방향보다는 축 방향의 열전도도 성분이 복합재의 전체 열전도도 향상에 크게 기여를 하는 것으로 나타났다.

• International Journal of Human Ecology
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• 제13권2호
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• pp.87-100
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• 2012

Smart wear integrates computing technology into fabric or a garment for additional functionality. This research explored the attitudes and opinions of the use of smart wear from the viewpoint of caregivers. Thirty two individuals including care providers of children and adult family members with health problems participated in focus group interviews. Participants reported being interested in smart wear because of the potential to detect the location (GPS) of a dependent (e.g., child, elderly) and to monitor vital signs. Participants indicated perceived advantages of smart wear such as identifying geographical location and effectiveness. Perceived concerns mentioned were privacy/security issues and accuracy of data. Participants taking care of dependents without a specific disease were hesitant to adopt and pay for smart wear. However, caregivers of elderly individuals expressed positive adoption intentions and willingness to reasonably pay for smart wear. They indicated expectations that potential insurance would provide coverage for cost savings. Caregivers expressed the need of specific requirements for future adoption such as customizability, and comfort/safety. Specific to smart wear clothing, most respondents preferred it be an undershirt or a jacket with a sensor located in the shoulder area. The findings from this study can be used in product development, promotion and marketing of smart wear.