• 패션비즈니스
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• 제24권3호
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• pp.17-29
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• 2020

This study aimed to produce fiber stretch sensors for smart soccer socks to prevent injuries during training. A sensor was manufactured with stretchable fabric and tested to ensure convenience during training. In order to manufacture the fiber stretch sensor, a CNT dispersion solution was applied to an e-band and elastic polyester fabric, and the performance of the sensors was evaluated by a tensile test. Performance evaluation showed that both of the tested fabrics are excellent for this purpose. Both sensors were attached to socks to create prototype wearable devices, and an experiment was conducted to determine whether a resistance change accompanying relaxation and contraction of the gastrocnemius muscle could be detected. In order to accurately evaluate performance as a sensor, the fabric was stretched 20 times at low speeds of 1 Hz and 0.5 Hz. A change in resistance due to tension was observed, with both the E-band and the stretchable poly fabric showing high sensitivity and high reproducibility. Both can be used as relaxation/contraction sensors. Smart soccer socks were made using the two materials, and an evaluation was conducted. Tensile tests were done on the smart soccer socks; the tests were done 20 times per sock, and the sensor showed a stable resistance change between 30 and 40 ohms depending on the tension of the sensor. As a result, we confirmed that smart soccer socks with stretch sensors made of E-bands can measure changes in the gastrocnemius muscle.

• 정보보호학회논문지
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• 제26권5호
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• pp.1335-1348
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• 2016

세계적으로 제조업분야의 스마트공장은 매우 빠르게 확산이 되고 있다. 국내에서는 KOSF(Korea Smart Factory Foundation)을 중심으로 스마트공장을 추진하고 있다. 제조업을 중심으로 발전한 스마트공장은 정보보호에 대한 인식이나 투자가 매우 부족한 상황이고, 그 여력이 충분하지 않다. 그로 인해 스마트공장이 직면하게 되는 새로운 유형의 위협에 효과적으로 대응할 수 없고, 보안사고가 발생할 수 있다. 새로운 위협을 식별하고 정보보호현황을 조사해본 결과, 스마트공장이 안전하게 확산되기 위해 가장 효과적이고 효율적인 방법은 추가적인 예산투입 없이 정보보호 인식을 교육하는 것이다. 따라서 본 연구에서는 NCS(National Competency Standards)를 기반으로 국제표준, 산업의 요구사항, 교육기관의 커리큘럼을 참조하여 스마트공장 정보보호 인식교육 커리큘럼을 개발하였다. 이를 전문가 집단을 통한 타당성 검증을 진행하였으며, 이를 통하여 보다 안전하게 스마트공장이 확산될 수 있도록 하였다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2020년도 추계학술발표대회
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• pp.153-155
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• 2020

가상환경 홈 트레이닝 시스템은 바이러스, 날씨, 환경 등으로 인해 외부활동이 제한된 경우 실내에서도 실외에서 운동하는 것과 같은 효과를 얻기 위하여 구성하였다. 사용자는 실내에서도 vr 기기를 사용함으로써 가상환경을 통해 보다 실감나는 환경으로 운동을 할 수 있다

• International journal of advanced smart convergence
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• 제7권2호
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• pp.73-85
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• 2018

The purpose of this study is to develop a short-term ICT training course that helps teachers from non-computing disciplines in developing countries acquire flipped-learning content creation skills. A field application is performed by applying the developed ICT training course to secondary school teachers of non-ICT subject specialisms in Laos. In the field study, participating teachers' teaching efficacy on ICT and satisfaction toward the training course are measured. The result of t-test on ICT teaching efficacy showed statistically significant increases in teachers' self-efficacy related to ICT use, both personal efficacy and outcome expectancy. The satisfaction survey performed after training showed that trainees were highly satisfied with the training course. The results of this field study could be used to propose a short-term teacher education model that could be applicable to teachers in other developing countries.

• 패션비즈니스
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• 제26권4호
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• pp.112-122
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• 2022

The purpose of this study is to investigate the effect of using socks combined with EMS on ankle pain reduction and ankle function improvement in home training participants. In this study, the conductive fabric was combined using socks that can properly compress the ankle. First, VAS was measured during EMS training after fatigue was induced and compared with fatigue during rest. It was confirmed that the level of VAS after EMS training was lower than after rest and fatigue. It was also confirmed that EMS training, which combines EMS with socks, was effective in reducing pain. The experimental action is a measurement action of WBLT and lying posture, and the situation before and after EMS training was compared by performing 30 minutes on the treadmill to cause delayed muscle pain during exercise. As a result of this study, it was found that pain reduction and ROM function were improved when electrical stimulation was performed using EMS socks. It was also confirmed that the application of electrical stimulation to EMS socks effected on ankle fatigue and function improvement. From the study results, it is expected that wearing socks equipped with EMS significantly reduces ankle injuries and improves functional recovery for home training participants.

• 디지털융복합연구
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• 제18권9호
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• pp.191-198
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• 2020

본 연구에서는 화재대응능력 향상을 위한 화재모의훈련의 개선방안을 제안하기 위해 3개의 업무시설물을 대상으로 화재모의훈련을 실시하고 훈련 교보재의 활용 여부와 대응단계별 대응시간의 훈련평가 반영 여부에 따라 변화하는 훈련 참여자들의 대응자세 및 대응능력을 관찰 및 분석하였다. 분석결과 대다수의 훈련 참가자들은 훈련 교보재 활용과 대응단계별 대응시간이 훈련평가에 반영될 때 훈련 참여도, 대응자세 및 대응능력이 향상되는 것으로 분석되었다. 화재모의훈련을 실시할 경우 훈련 참여자들의 화재대응능력(화재통보 및 화재신고, 초기소화, 대피) 향상과 유지를 위해 화재발생 상황을 유사하게 구현할 수 있는 훈련 교보재를 다수 활용하고 각 대응단계별 목표시간을 설정한 후 이를 기반으로 정량적인 훈련평가를 하여야만 화재대응능력 향상과 향후 화재모의훈련의 개선 및 피드백에 유용한 지표로 활용될 수 있다는 결과를 도출하였다.

• Smart Structures and Systems
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• 제29권1호
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• pp.1-16
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• 2022

Despite recent breakthroughs in deep learning and computer vision fields, the pixel-wise identification of tiny objects in high-resolution images with complex disturbances remains challenging. This study proposes a modified U-net for tiny crack segmentation in real-world steel-box-girder bridges. The modified U-net adopts the common U-net framework and a novel Self-Attention-Self-Adaption (SASA) neuron as the fundamental computing element. The Self-Attention module applies softmax and gate operations to obtain the attention vector. It enables the neuron to focus on the most significant receptive fields when processing large-scale feature maps. The Self-Adaption module consists of a multiplayer perceptron subnet and achieves deeper feature extraction inside a single neuron. For data augmentation, a grid-based crack random elastic deformation (CRED) algorithm is designed to enrich the diversities and irregular shapes of distributed cracks. Grid-based uniform control nodes are first set on both input images and binary labels, random offsets are then employed on these control nodes, and bilinear interpolation is performed for the rest pixels. The proposed SASA neuron and CRED algorithm are simultaneously deployed to train the modified U-net. 200 raw images with a high resolution of 4928 × 3264 are collected, 160 for training and the rest 40 for the test. 512 × 512 patches are generated from the original images by a sliding window with an overlap of 256 as inputs. Results show that the average IoU between the recognized and ground-truth cracks reaches 0.409, which is 29.8% higher than the regular U-net. A five-fold cross-validation study is performed to verify that the proposed method is robust to different training and test images. Ablation experiments further demonstrate the effectiveness of the proposed SASA neuron and CRED algorithm. Promotions of the average IoU individually utilizing the SASA and CRED module add up to the final promotion of the full model, indicating that the SASA and CRED modules contribute to the different stages of model and data in the training process.

• 전기전자학회논문지
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• 제22권1호
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• pp.21-28
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• 2018

옷 입은 상태에서도 협소한 회음부 공간에 제품을 위치시켜 외부로 들어나지 않고, 부담 없이 저주파자극치료를 할 수 있도록 저주파모듈의 컴팩트한 배변배뇨장애 치료용 스마트 헬스케어 시스템을 개발한다. 이 시스템은 사용자 골반저근의 수축력을 감지하여 스마트폰 엔터테인먼트 앱과 연동되도록 함으로써, 사용자가 거부감 없이 능동적 운동치료를 병행할 수 있는 배변배뇨장애 치료를 위한 스마트 헬스케어장치이다. 바이오피드백을 통한 운동 과정은 모니터링 할 수 있고, 측정된 데이터를 메모리에 저장함으로써 근육강화 훈련의 향상을 비교평가할 수 있다. 마지막으로 시제품의 전자파 방사 및 성능에 관한 시험을 통해 안전성을 확보한다.

• PNF and Movement
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• 제17권3호
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• pp.369-378
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• 2019

Purpose: This study investigated the effects of virtual reality-based task training (VRBTT) using a smart glove on upper extremity function and activity of daily living in stroke patients. Methods: Twenty-nine patients with chronic stroke disease were randomly allocated to two groups: the VRBTT group (n=14) and the control group (n=15). All patients received 30 minutes of standard occupational therapy, 5 times a week, for 8 weeks. The VRBTT group performed an additional 30 minutes of virtual reality-based rehabilitation training, 5 times a week, for 8 weeks. Results: Both groups showed significant improvements in upper extremity function, yielding an increase in FMA and K-WMFT (p<0.05). There was a more significant increase in the VRBTT group before and after interventions (p<0.05). There was no significant difference in MAS for the control group (p>0.05); however, there was a significant increase for the VRBTT group (p<0.05). In the activities of daily living, there was a significant difference in the values for K-MBI (p<0.05). In addition, both groups showed a significant increase for K-MBI and K-RNLI (p<0.05). Conclusion: This study showed that VRBTT using smart gloves can have a more positive effect on upper extremity function and activities of daily living in stroke patients than conventional intervention methods. A variety of virtual reality-based contents and glove-shaped wearable devices will help stroke patients in rehabilitation clinics recover and return to society.

• 사물인터넷융복합논문지
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• 제8권6호
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• pp.115-122
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• 2022

최근 병원 밖 심정지 환자의 생존율 향상을 위한 일반인 대상 심폐소생술 교육의 중요성이 강조되고 있다. 일반인 대상 효과적인 심폐소생술 교육을 위해 보다 정확하고 생동감 있는 교육전략이 필요하다. 이에 본 연구에서는 확장현실 기반의 심폐소생술 교육시스템을 개발하고 일반인을 대상으로 교육한 사용성 평가 결과를 제시한다. 3개의 응용프로그램으로 구성된 확장현실 기반 심폐소생술 교육시스템에서는 첫 번째 마네킹에 정합된 3D 심장 해부도를 스마트글라스에 전송하여 가슴압박 지점을 안내한다. 두 번째 응용프로그램은 스마트글라스를 통해 심폐소생술 과정에 대한 시·청각적 정보를 제공함과 동시에 스마트워치의 진동 알림을 전송하여 심폐소생술의 정확한 압박 속도를 안내한다. 세번째 Add on kit는 마네킹에 설치된 센서를 통하여 흉부 압박의 깊이와 속도에 대한 즉각적인 피드백 정보를 스마트폰으로 전송한다. 본 연구에 참여한 93명의 대상자는 확장현실 기반 심폐소생술 교육시스템이 현장감과 효과성 측면에서 긍정적이라 평가하였다. 확장현실 기술을 이용한 정합기술은 현장감과 몰입도를 높이고 자기 주도적 훈련을 쉽게 함으로서 심폐소생술 교육 운영 효율성 향상에 이바지할 수 있다.