• 대한정형도수물리치료학회지
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• 제18권2호
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• pp.23-29
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• 2012

Background: The present study was conducted with 30 adult males in order to examine the muscle activity of the trunk and the lower extremities at diverse initial bending angles of the hip joint during bridge exercise on a stable surfaces and on an unstable surface that is widely performed for stabilization. Methods: The initial angles of the hip joint used were $0^{\circ}$, $45^{\circ}$ and $90^{\circ}$ and the subjects were divided into a matt experimental group and a balance training group. Results: In maximum values of muscle activity at different exercise methods and angles, the matt experimental group showed statistically significant differences in the muscle activity values of the rectus abdominis muscle, the erector spinae muscle, the rectus femoris muscle and the peroneus muscles between different angles while the balance training group showed significant differences only in the muscle activity values of the erector spinae muscle between different initial angles of the hip joint. The matt experimental group showed significant differences in muscle activity between initial angles $0^{\circ}$ and $90^{\circ}$, between $45^{\circ}$ and $90^{\circ}$ in the rectus abdominis muscle, between $0^{\circ}$ and $90^{\circ}$ in the erector spinae muscle, between $45^{\circ}$ and $90^{\circ}$ in the rectus femoris muscle and between $0^{\circ}$ and $90^{\circ}$ in the peroneus muscles while the balance training group showed significant differences between $0^{\circ}$ and $90^{\circ}$ in the erector spinae muscle. Conclusions: Therefore, it is thought that bridge exercises should be applied to patients using diverse methods.

• 대한정형도수물리치료학회지
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• 제22권2호
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• pp.57-63
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• 2016

Background: Instability due to ankle sprains will be accompanied by a problem of balance and pain change. Balance trainer is used to improve the ankle strength and balance ability. The purpose of this study was to evaluate the change of pain and postural balance ability in ankle joint after balance trainer application in patients with ankle sprain and instability. Methods: Twenty patients in K hospital in Incheon were enrolled. Balance trainer was applied to 10 subjects in the experimental group and 10 subjects in the Balance cushion under the same conditions as the experimental group to compare the pain and balance ability. Results: In the experimental group, there was a significant difference in the change of the pain variation. In the postural balance ability comparison, there was a significant difference in total and post - posterior comparison compared to the control, but there was no significant difference in the postural balance ability comparison. Conclusion: Pain and postural balance ability of patients with instability due to ankle sprain improved the pain and balance ability of the Balance trainer group compared to the Balance cushion training group.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 춘계학술대회
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• pp.65-67
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• 2013

최근의 네트워크 장비들은 고성능이 요구되고, 또한 높은 네트워크 대역폭의 활용을 요구하고 있다. 이를 위해 점차 멀티 코어 프로세서를 사용한 고성능 네트워크 서버 장비를 개발 하는 추세이다. 이런 고성능과 높은 네트워크 처리율을 향상시키기 위한 방법으로 멀티 코어의 특성을 고려한 네트워크 서브시스템의 성능을 향상시키는 방법을 제시한다. 본 논문에서는 멀티 코어를 최대한 활용함으로 성능을 최적화 하고 통신 성능을 향상시키는 방법을 실험을 통해서 확인한다. 통신 프로세스의 성능 향상은 멀티 코어 프로세서 구조, 프로세스의 네트워크 집중도, 각 코어에 걸리는 오버헤드, 인터럽트 친화도에 따른 네트워크 처리량을 기반으로 해당 프로세스에 최적의 코어를 결정해 주도록 한다. 실험은 리눅스 커널에서 구현하였으며, 실험을 통해 네트워크 처리량을 30%까지 향상 시키고, 프로세서의 오버헤드는 최대 10%까지 줄여 리눅스 통신 프로세스의 성능 향상을 가져옴을 보여준다.

• 환경생물
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• 제37권4호
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• pp.585-591
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• 2019

본 연구는 LMO 유전산물의 위해성평가를 위해 바실러스로부터 증폭된 Vip3Aa 유전자를 이용하여 대장균에서 단백질 순수분리 하였으며, MALDI-TOP 분석법을 통해 기존의 알려진 살충성 Vip3Aa 단백질과 동등한 단백질임을 증명하였다. 순수 분리한 Vip3Aa 단백질을 이용하여 꿀벌 과독성 급성섭식독성평가를 수행하였다. 그 결과 무처리군, Hepes buffer, Vip3Aa 단백질 처리군 모두 치사 및 일반 중독증상을 보이는 개체는 발견되지 않았다. 이 결과를 통해 Vip3Aa 단백질은 꿀벌에 위해성을 나타내지 않는다는 결론을 얻을 수 있었다. 본 연구 결과는 향후 국내 LMO 유전자 산물 위해성평가에 유용하게 활용될 것이라 사료된다.

• 대한정형도수물리치료학회지
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• 제21권1호
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• pp.49-56
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• 2015

Background: Although many of those who drive for a living are exposed to repetitive and awkward posture and whole body vibration which cause them cumulative trauma disorder, therapeutic studies related to the problems from the transport unit are still somewhat inadequate. The purpose of this case report is to identify the effect of combined exercise program on patients suffering chronic neck pain caused by long hour of intra-city bus driving. Method: A total of 4 subjects are selected as patients, all of whom have more than 10 years of experience in intra-city bus transportation services. These people have suffered from neck pain for years. We ran the combined exercise program 3 times a week for 4 weeks and respectively evaluated the results after the 2nd and 4th week. We implemented conventional physiotherapy for 40 minutes, another 40 minutes of combined exercise program, and then educated the patients to enable themselves to do active stretching program as a home program. The combined exercise program contained 3 different stages. 1st stage: active stretching program, 2nd stage combined stabilization exercise and strengthening exercise, 3rd stage: proprioceptive exercise Result: After 4 weeks of intervention, there was enhance in the range of motion. $12^{\circ}$ increase in flexion, $10^{\circ}$ in extension, $6^{\circ}$ in lateral flexion respectively, and $10^{\circ}$ in rotation on average. VAS(visual analgue scale) decreased by 33% on average, NDI(neck diability index) by 28% and fatigability by 23%. Conclusion: There were improved results in the range of motion, NDI, VAS, and in fatigability after applying combined exercise program to intra-city bus drivers exposed to whole body vibration and cumulative trauma disorder.

• 한국전자파학회논문지
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• 제8권6호
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• pp.600-613
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• 1997

본 논문에서는 광대역 코드분할 다원 접속 방식을 이용하여 무선 가입자 접속 망(WLL: Wireless Local Iρop)서비스를 위한 기지국용 RF 송수신기를 고찰하였다 제작된 송수신기는 크게 수신기, 송신기 및 RF 컨트 롤러띄 세 보드로 구성하였고,5 MHz의 RF 채널 대역폭을 이용하여 넓은 동작 범위와 고감도가 요구되는 RF 수신기 및 우수한 스퓨리어스 방사 억제 특성을 가지는 송선기의 설계 및 구현에 관하여 기술하였다. 전체 송수 선부플 상용화된 부품이나 주문 제작된 소자의 규격을 토대로 RF 시뮬레이션 소프트웨어를 이용하여 위에 언급된 수신기 및 송신기의 예상 성능을 평가하였고, 이를 토대로 송수신기를 제작하였다. 측정 결과 수신기는 2.86 d dB의 잡음 지수 및 60 dB이상의 동작 영역을 가졌고, 송선기의 스퓨리어스 방사는 34.3 dBm의 출력 전력에서 -49.46 dBc의 특성을 얻어 표준 안에 제시된 성능 규격을 만족하는 좋은 결과를 얻었다.

• 디지털융복합연구
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• 제13권1호
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• pp.331-339
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• 2015

사이버나이프치료에서 삽입된 금표지자의 삽입 개수 및 인식의 제한으로 인하여 3D DOF로 치료하는 경우 척추구조물 정렬을 가능하게 하는 Xsight spine tracking system으로 회전방향의 위치오차를 보정함으로서 표적위치오차를 개선하고, 치료방법의 대안을 제시하고자 한다. 실험결과 6D DOF에서 표적위치오차는 $0.214{\pm}0.058mm$, 종양내부에 삽입된 2개 금표지자를 이용한 3D DOF에서 $0.673{\pm}0.142mm$, 종양외부에 삽입된 2개 금표지자를 이용한 3D DOF에서 $1.126{\pm}0.253mm$, Xsight spine tracking system의 적용 한 3D DOF에서 $0.542{\pm}0.103mm$로 나타났다. 실험결과 척추 구조물로 회전방향에 대한 보정을 시행하였을 때 표적위치에 대한 정확성이 약 48% 향상되었다. 또한, 선량분포의 일치성도 약 3%가 향상되어 일치하는 것을 확인할 수 있었다. 따라서 척추구조물 정렬을 병용한 Xsight spine tracking system의 회전방향에 대한 보정은 유용한 것으로 평가 되었다.

• 한국전자파학회논문지
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• 제24권7호
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• pp.694-700
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• 2013

도심 지역은 무선 채널 환경 중 대표적인 이동 통신 사용 지역으로서, 건물의 밀집도가 다양하게 분포하는 형태를 보인다. 건물 밀집도의 차이는 신호전달 과정에서 상당한 영향을 미칠 것으로 예상되어, 건물 밀집도의 정도가 채널 특성 분석에 있어서 영향을 미칠 가능성을 고려하여 전파 특성을 분석할 필요성이 있다. 측정은 제주도 인근 도심 지역에서 실시하였으며, 채널 사운더와 $4{\times}4$ 안테나로 채널 특성을 측정하였다. 측정된 데이터를 바탕으로 도심 지역에서 건물 밀집도를 고려한 채널 특성을 도출하였다. 본 논문은 700 MHz 대역에서 도심 지역 건물 밀집도를 고려한 MIMO 시스템의 전파 채널 측정을 통해 측정 데이터를 분석하고, 채널 특성을 도출하였다.

• 한국농공학회논문집
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• 제61권4호
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• pp.75-86
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• 2019

Recently, natural disasters due to abnormal climates are frequently outbreaking, and there is rapid increase of damage to aged agricultural infrastructure. As agricultural infrastructure facilities are in contact with water throughout the year and the number of them is significant, it is important to build a maintenance management system. Especially, the current maintenance management system of pumping and drainage stations among the agricultural facilities has the limit of lack of objectivity and management personnel. The purpose of this study is to develop a performance evaluation model using the factors related to performance degradation of pumping and drainage facilities and to predict the performance of the facilities in response to climate change. In this study, we focused on the pumping and drainage stations belonging to each climatic zone separated by the Korea geographical climatic classification system. The performance evaluation model was developed using three different statistical models of POLS, RE, and LASSO. As the result of analysis of statistical models, LASSO was selected for the performance evaluation model as it solved the multicollinearity problem between variables, and showed the smallest MSE. To predict the performance degradation due to climate change, the climate change response variables were classified into three categories: climate exposure, sensitivity, and adaptive capacity. The performance degradation prediction was performed at each facility using the developed performance evaluation model and the climate change response variables.

• 한국농공학회논문집
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• 제61권3호
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• pp.55-65
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• 2019

Although crack on concrete exists from its early formation, crack requires attention as it affects stiffness of structure and can lead demolition of structure as it grows. Detecting cracks on concrete is needed to take action prior to performance degradation of structure, and deep learning can be utilized for it. In this study, transfer learning, one of the deep learning techniques, was used to detect the crack, as the amount of crack's image data was limited. Pre-trained Inception-v3 was applied as a base model for the transfer learning. Web scrapping was utilized to fetch images of concrete wall with or without crack from web. In the recognition of crack, image post-process including changing size or removing color were applied. In the visualization of crack, source images divided into 30px, 50px or 100px size were used as input data, and different numbers of input data per category were applied for each case. With the results of visualized crack image, false positive and false negative errors were examined. Highest accuracy for the recognizing crack was achieved when the source images were adjusted into 224px size under gray-scale. In visualization, the result using 50 data per category under 100px interval size showed the smallest error. With regard to the false positive error, the best result was obtained using 400 data per category, and regarding to the false negative error, the case using 50 data per category showed the best result.