• 대한지역사회작업치료학회지
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• 제6권1호
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• pp.41-48
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• 2016

목적 : 본 연구의 목적은 허혈성 뇌손상시 회복의 지연을 초래하는 당뇨에 복합운동프로그램을 적용하였을 때, 신경학적 효과와 당뇨의 개선효과를 확인하고자 하였다. 연구방법 : 본 연구는 경상북도 소재의 동물실험 연구실에서 실시하였고 허혈성 뇌손상 모델의 흰쥐에게 STZ(streptozotocin)를 투여하고 당뇨를 유발한 흰쥐 10마리를 사용하였다. 흰쥐에게는 4주간 복합운동프로그램을 실시하여 뇌기능회복을 확인하기 위해 미로검사(maze test)를 실시하였고, 당뇨의 개선효과를 보기위해서 혈당을 확인하였다. 결과 : 허혈성 뇌손상 모델 당뇨쥐에게 복합운동프로그램을 적용한 결과, 뇌기능회복을 확인하기 위한 미로검사에서는 실패횟수(error)가 3주 후부터 유의하게 감소하였고(p<.05) 탈출시간은 1주 후부터 유의하게 감소하였다(p<.05). 그리고 당뇨의 개선효과를 확인하기 위한 혈당 검사에서는 대조군에서는 유의한 변화가 없었고 복합운동프로그램을 적용한 실험군에서는 4주 후부터 유의한 효과가 있음을 알 수 있었다(p<.05). 결론 : 뇌졸중, 당뇨 등의 성인, 노인성 질환이 증가되고 있는 현 시점에서 환자들에게 재활은 여명수명동안 삶의 질 개선에 매우 중요하다. 본 연구는 허혈성 뇌졸중과 당뇨를 모두 가지고 있는 동물모델에게 치료사가 쉽게 시행할 수 있는 복합운동프로그램 적용을 통하여 뇌기능회복과 당뇨 개선효과를 확인할 수 있었다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 II
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• pp.907-910
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• 2003

We have developed Logic Design Training Kit for studying, actual training, designing of FPGA(Xillinx) or CPLD(ALTERA CPLD), the Digital Logic Device. This training kit has 12 matrix keys, RS232 port for serial communication and uses LED array. six FND(Dynamic), LCD as display part. That is standard specification for digital logic training kit. Special point of this kit is that we make two logic device trainig kit. This two logic device kit have more smaller and simple architecture because only uses one chip. That chip already includes a lot of functions that need for training kit, such as : complex logic circuit needed the two kind of logic devices, 16 way of system clock deviding function, serial communication interrupt....etc. We called that one chip is Center Bridge Chipset ; Xillinx FPGA Spartan2. User can select between using one device of FPGA or CPLD, or uses both them. Because of, Center Bridge Chipset has profitable architecture. it can work as Logic Device's networking with Master-Slave connection When using both logic devices.

• International Journal of Industrial Entomology and Biomaterials
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• 제15권2호
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• pp.101-106
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• 2007

During mulberry cultivation, root disease complex caused by the association of root knot nematode (Meloidogyne incognita) with root rot pathogens like Fusarium solani and Botryodiplodia theobromae poses serious loss in leaf production. Therefore, an attempt was made to assess the efficacy of eight pesticides (Metayalaxyl+Mancozeb, Thiophanate methyl, Mancozeb, Bitertanol, Phenomiphos, Phorate, Thionazin & Carbofuran) and two growth hormones (Salicylic acid and Indole 3 acetic acid) at 0.1 and 0.2% concentrations under in vitro conditions against nematode (hatching of eggs and mortality of larvae) and root rot pathogens (poisoned food technique) for short listing the treatments to develop an IDM strategy. Results revealed that among the pesticides and growth hormones, Carbofuran followed by Salicylic acid were found to be effective at 0.2% concentration against both nematode and pathogenic fungi. Both the chemicals inhibited the hatching of nematode eggs by 83.5-78.9% and 80-76% larval mortality over the control and reduced the mycelial growth of both the pathogenic fungi to an extent of 75.5-77.8%. Though Mancozeb inhibited both the pathogenic fungi strongly (77-80%), it did not show any effectiveness against nematode. The rest of the chemicals were found either moderately or poorly effective in reducing the growth of pathogenic fungi, hatching of nematode eggs and enhancing the mortality of larvae. The two effective chemicals viz., Carbofuran and Salicylic acid, which rated as strong inhibitors against both nematode and pathogenic fungi, can be exploited in developing an IDM package as one of the component for better management of root disease complex in mulberry.

• The Journal of Korean Physical Therapy
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• 제23권4호
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• pp.45-51
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• 2011

Purpose: To determine the correct measurement methods of the ankle joint complex range of motion for measuring the neutral position and evaluate the rater reliability. In addition, the impact of training on the rater reliability was also assessed. Methods: The subjects were eleven healthy women, who were evaluated by two physical therapists and one physical therapist recorded the results of the study. Standard goniometer was used as the measurement tool. The ankle and subtalar joint neutral position and the active range of motion of the ankle and subtalar joint were measured. Intra-rater reliability and inter-rater reliability measures were analyzed with intraclass correlation coefficients. Results: Intra-rater reliability and inter-rater reliability ranged from high to medium for the neutral position of the ankle joint complex. Intra-rater reliability for dorsiflexion and plantarflexion measurements was medium, while the inter-rater reliability was high. The range of motion of the subtalar joint was measured, and the intra-rater reliability and inter-rater reliability were low and medium, respectively Also, the intra-rater reliability was increased with formal training of the measurement techniques. Intra-rater reliability was reduced in case the raters had not undertaken the training. Conclusion: In summary, the results obtained with the measurement tools and joint measurement of position, indicate the consistency of repeated measurements made by the same observers. Under the same circumstances along with repetition of the same measurement technique during training caused an increase in the rater reliability of formally trained raters.

• Nutrition Research and Practice
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• 제13권6호
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• pp.521-528
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• 2019

BACKGROUND/OBJECTIVES: The aim of this study was to develop Korean food image detection and recognition model for use in mobile devices for accurate estimation of dietary intake. MATERIALS/METHODS: We collected food images by taking pictures or by searching web images and built an image dataset for use in training a complex recognition model for Korean food. Augmentation techniques were performed in order to increase the dataset size. The dataset for training contained more than 92,000 images categorized into 23 groups of Korean food. All images were down-sampled to a fixed resolution of $150{\times}150$ and then randomly divided into training and testing groups at a ratio of 3:1, resulting in 69,000 training images and 23,000 test images. We used a Deep Convolutional Neural Network (DCNN) for the complex recognition model and compared the results with those of other networks: AlexNet, GoogLeNet, Very Deep Convolutional Neural Network, VGG and ResNet, for large-scale image recognition. RESULTS: Our complex food recognition model, K-foodNet, had higher test accuracy (91.3%) and faster recognition time (0.4 ms) than those of the other networks. CONCLUSION: The results showed that K-foodNet achieved better performance in detecting and recognizing Korean food compared to other state-of-the-art models.

• 한국운동역학회지
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• 제19권1호
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• pp.117-126
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• 2009

이 연구는 12주간 복합운동이 여성 노인의 보행동작 시 발의 압력분포에 미치는 영향을 알아보기 위하여 규칙적으로 운동에 참여하지 않는 65세 이상의 노인여성 15명을 대상으로 하였다. 연구대상에게 보행속도 2.4km/h로 직선보행동작과 $45^{\circ}$ 방향전환보행동작을 실시하게 한 후 보행 시 족저압력분포를 측정한 후 평균 족저압력과 최대 족저압력을 분석한 결과 다음과 같은 결론을 얻었다. 첫째, 12주간의 복합운동이 직선보행동작과 $45^{\circ}$ 방향전환 보행동작 시 평균 족저압력을 유의하게 감소시켜 효과적인 보행동작을 수행하는데 도움을 주는 것으로 분석되었다. 둘째, 12주간의 복합운동이 직선보행동작과 $45^{\circ}$ 방향전환 보행동작 시 최대 족저압력을 유의하게 감소시켜 효과적인 보행동작을 수행할 수 있도록 도움을 주는 것으로 분석되었다. 셋째, 12주 복합운동 전 후의 족저압력분포와 압력중심 이동곡선의 경로 분석결과 복합운동 전보다 복합운동 후의 족저압력분포가 보다 폭넓게 낮은 족저압력분포를 나타낸 것으로 관찰되었으며, 압력중심 이동곡선도 복합운동 전보다 복합운동 후 안정적인 곡선을 나타내는 것으로 분석되었다.

• 대한통합의학회지
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• 제11권2호
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• pp.69-76
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• 2023

Purpose : This study aimed to compare lung capacity measures (forced vital capacity; FVC, forced expiratory volume at 1 second; FEV1, and FEV1/FVC) and the activities of rectus femoris (RF) and gastrocnemius (GCM) muscles between young adults prescribed aerobic exercise combined with lower limb strength exercise (complex exercise) and those prescribed only aerobic exercise. Methods : We randomly divided 22 young adults into 2 groups: the complex exercise group that combined the leg strengthening and aerobic exercises (n = 11) and the aerobic-exercise-only group (n=11). Before the intervention, the FVC, FEV1, and FEV1/FVC values and the activities of RF and GCM muscles were measured. Measurements were in triplicates, and the average of the 3 measurements was used. The complex exercise group performed the treadmill exercise followed by squats and lunges, and the group performed only the treadmill exercise. Both groups were allocated the same time. Both groups performed the assigned exercise thrice a week for 3 weeks. After the intervention, the FVC, FEV1, and FEV1/FVC values and the activities of RF and GCM muscles were measured again. Results : The FVC and FEV1 values increased significantly in both groups after the intervention (p<.05). RF activity increased significantly after the intervention in the complex exercise group (p<.05), and the magnitude of change in RF activity after the intervention was significantly higher in the complex exercise group than in the aerobic-exercise-only group (p<.05). GCM activity also significantly increased after the intervention in both groups (p<.05). Conclusion : On the basis of our results, we recommend combining leg strengthening and aerobic exercise to improve leg muscle activity along with lung function.

• 한국멀티미디어학회논문지
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• 제12권3호
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• pp.397-408
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• 2009

영상 학습은 컴퓨터를 이용한 자동 시각 검사에서 매우 중요하고 어려운 문제이다. 최근 생산되는 인쇄회로 기판(PCB : Printed Circuit Board)은 부품의 크기가 작아지고 회로 패턴이 점점 복잡해져서 신제품의 개발 주기가 짧고 다양한 제품들을 검사해야 하는 분야에서 어렵고 복잡한 학습 과정은 큰 문제가 되고 있다. 본 논문은 CAD(Gerber: 거버)파일을 이용하여 PCB 자동 시각 검사의 기준이 되는 참조 영상을 생성하였다. Gerber 파일로 생성된 참조 영상은 결함이 없는 PCB 패턴을 보장한다. 시스템의 구현과 실험을 통하여 Gerber 파일을 이용하여 PCB 자동 시각 검사 시스템의 학습 과정을 손쉽게 할 수 있는 방안을 제시하였다.

• 한국운동역학회지
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• 제23권2호
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• pp.141-148
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• 2013

The purpose of this study was to investigate the scapulothoracic joint movement between different weight bearing contributing to effective bench press exercise. Ten male subjects participated in this study. All subjects were tested on the flat bench press machine which modified weight (50% and 70% of 1RM) and subjects were performed two different conditions(none protraction condition and protraction condition). Weight bar height and vertical velocity, EMG activation was measured using 3D motion capture system and wireless EMG analysis system. As the results, none protraction condition showed that it is more concentrate better pectoralis major muscle activation than protraction condition and middle pectoralis major, anterior deltoid and triceps brachii was significant higher integrated EMG in 70% of 1RM condition. In conclusion, limited scapulothoracic joint movement was more effective activated pectoralis major muscle all the weight through, while we could not find that it was not affected integrated EMG on eight muslces related to shoulder complex between scapulothracic joint movement conditions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권8호
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• pp.2993-3010
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• 2021

The job shop scheduling problem (JSSP) plays a critical role in smart manufacturing, an effective JSSP scheduler could save time cost and increase productivity. Conventional methods are very time-consumption and cannot deal with complicated JSSP instances as it uses one optimal algorithm to solve JSSP. This paper proposes an effective scheduler based on deep learning technology named self-supervised long-short term memory (SS-LSTM) to handle complex JSSP accurately. First, using the optimal method to generate sufficient training samples in small-scale JSSP. SS-LSTM is then applied to extract rich feature representations from generated training samples and decide the next action. In the proposed SS-LSTM, two channels are employed to reflect the full production statues. Specifically, the detailed-level channel records 18 detailed product information while the system-level channel reflects the type of whole system states identified by the k-means algorithm. Moreover, adopting a self-supervised mechanism with LSTM autoencoder to keep high feature extraction capacity simultaneously ensuring the reliable feature representative ability. The authors implemented, trained, and compared the proposed method with the other leading learning-based methods on some complicated JSSP instances. The experimental results have confirmed the effectiveness and priority of the proposed method for solving complex JSSP instances in terms of make-span.