강재를 대처할 수 있는 다양한 복합재료 중 CFRP (Carbon Fiber Reinforced Polymer)를 사용하여 인장 물성 실험을 실시한다. KS F ISO 10406 (콘크리트용 섬유강화 폴리며(FRP 보강재 - 시험방법) 에서 FRP의 측정길이는 지름 (D)의 40 배를 기준으로 제시되어진다. 그러나 25 mm 이상의 시험체는 양단 보강부를 포함하게 된다면 대략 2 m 이상으로 제작되어지게 되고 시험이 상당히 번거롭게 됨으 로써 시험법 개선을 위해서 측정 길이별로 설정하여 성능평가 후 비교분석 한다.

본 논문은 CFRP 그리드의 정착길이에 따른 콘크리트 보의 휨거동을 평가한 실험적 연구를 보고한다. 실험을 위해 폭 250 mm, 높이 125 mm, 길이 2000 mm의 실험체가 제작되었다. 실험변수로 CFRP 그리드의 정착길이(1000 mm, 800 mm, 700 mm, 600 mm, 500 mm, 400 mm, 300 mm, 200 mm)가 고려되었다. 실험체 제작 후 3점 휨실험이 수행되었다. 실험결과 모든 실 험체의 강성은 정착길이에 영향을 받지 않고 유사한 것으로 나타났다. 초기 균열하중은 모든 실험체에서 유사하게 나타났으나, 정착길이가 감소됨에 따라 최대하중, 최대하중 시의 처짐 및 변형률은 감소하는 경향을 나타냈다. 특히 부재 길이에 80% 이상 이 정착된 경우 부재 길이와 동일한 정착길이를 가진 콘크리트 보의 약 90% 이상의 구조성능을 확보할 수 있는 것으로 확인되 었다. 제안된 수치해석 모델은 CFRP 그리드의 정착길이가 감소됨에 따른 극한하중의 저하를 유사하게 예측하였으며, 극한하중 의 오차는 평균 13.1%로 CFRP 그리드의 정착길이에 따른 콘크리트 보의 휨성능을 비교적 정확하게 예측하는 것으로 나타났다.

최근 국내에서 개발된 송풍식 양파 줄기절단기를 수확기 양 파 엽 절단에 활용할 경우 적정 작업 조건을 구명하기 위해서 이 실험을 수행하였다. 처리구 중 식물체 엽 건조가 가장 많이 진행된(엽 건조 정도 : 66.3%, 엽 수분함량 : 50.5%) 6월 20일 엽 절단 처리구에서 평균 잔여 엽장은 6.7±3.5cm로서 작업 후 적정 잔여 엽장에 해당되는 범위인 4－10cm에 포함되므로 기계 엽 절단 성능이 처리구 중 가장 우수한 것으로 판단된다. 줄기절단기 이용 양파 엽 기계 절단 시 평균 작업 속도는 0.17m·s-1였는데, 이는 인력 엽 절단 처리구의 평균 작업 속도 인 0.05m·s-1보다 3.4배 정도 빨랐으며, 이를 통해 해당 기종 을 이용하여 10a 면적을 작업할 경우에는 인력 작업(1인 기준) 에 비해 2.6시간 정도를 절감할 수 있을 것으로 기대된다. 또한 기계 엽 절단 처리구에서의 손상구 발생률은 1.3%로서 인력 엽 절단 처리구의 0.0%에 비해 높았는데, 이로 인해 기계 엽 절단 처리구가 인력 엽 절단 처리구보다 저장 중 양파 구 부패 율이 평균적으로 높았던 것으로 판단된다. 처리별 저장 특성 을 살펴보면, 저장 8개월 후 구 부위(기부, 정부)별 부패율은 기계 엽 절단 후 잔여 엽장이 5.0cm 미만인 처리구에서 잔여 엽장이 5.0cm 이상인 처리구보다 높았다. 이는 잔여 엽 길이 가 5.0cm 미만인 처리구에서는 5.0cm 이상인 처리구보다 저 장 중 구 부패를 유발하는 병원균의 감염이 쉬우므로 장기 저 장 시 부패율이 높은 것으로 생각된다. 본 실험 결과와 실험 기 종의 성능 목표(작업 후 잔여 엽장 : 5cm) 및 양파 수확 시 적정 잔여 엽장에 관한 기존의 연구결과 등을 종합적으로 고려할 경우, 본 실험에 사용된 줄기절단기 이용 양파 엽 절단 시 양파 의 적정 잔여 엽장은 5－10cm 정도일 것으로 판단된다.

Determining the size or area of a plant's leaves is an important factor in predicting plant growth and improving the productivity of indoor farms. In this study, we developed a convolutional neural network (CNN)-based model to accurately predict the length and width of lettuce leaves using photographs of the leaves. A callback function was applied to overcome data limitations and overfitting problems, and K-fold cross-validation was used to improve the generalization ability of the model. In addition, ImageDataGenerator function was used to increase the diversity of training data through data augmentation. To compare model performance, we evaluated pre-trained models such as VGG16, Resnet152, and NASNetMobile. As a result, NASNetMobile showed the highest performance, especially in width prediction, with an R_squared value of 0.9436, and RMSE of 0.5659. In length prediction, the R_squared value was 0.9537, and RMSE of 0.8713. The optimized model adopted the NASNetMobile architecture, the RMSprop optimization tool, the MSE loss functions, and the ELU activation functions. The training time of the model averaged 73 minutes per Epoch, and it took the model an average of 0.29 seconds to process a single lettuce leaf photo. In this study, we developed a CNN-based model to predict the leaf length and leaf width of plants in indoor farms, which is expected to enable rapid and accurate assessment of plant growth status by simply taking images. It is also expected to contribute to increasing the productivity and resource efficiency of farms by taking appropriate agricultural measures such as adjusting nutrient solution in real time.

Laser cutting has many advantages, including high-speed cutting potential, no reaction forces, narrow kerf widths, ease of remote control, and more. This makes it the next generation cutting technology for nuclear decommissioning. For this reason, various groups in countries with nuclear power plants have been working on applying laser cutting to nuclear decommissioning. Our group has also been developing in-air and underwater laser cutting technologies. Previous research has focused on efficiently cutting thicker steels. To accomplish this, a cutting head with a long focusing element with a focal length of 600 mm was utilized. A long focusing head is advantageous for cutting thick objects at high speeds because it can maintain a high power density over a long distance. However, with such a long focused beam, the residual laser power that remains after passing through the target object can cut or damage other unwanted objects located behind the target. Utilizing a short focused element can solve this problem, but if the focal length is too short, the cutting capability will be reduced. In this work, we developed and applied a cutting head that utilizes a focused element with a short focal length of 300 mm. Cutting tests with this head allowed us to cut 10-60 mm thick stainless steel plates at a laser power of 6 kW. We also obtained the maximum cutting speed and kerf width for each thickness while increasing the laser power by 1 kW from 1 to 6 kW. The results obtained in this work are expected to be utilized for safe cutting in future nuclear decommissioning applications.

The leopard plant has the characteristic of being used for ornamental purposes when there are yellow spots on the leaves, and is widely used as a bed plant for viewing flowers. To set several indicators to predict the growth of crops with ornamental value, and to quantitatively express the relationship between the indicators are necessary. In this study, we determine a model that estimates the leaf area and the number of flower of Farfugium japonicum Kitam. using leaf length and width, and conducting a regression analysis on some regression models. As an indicator for estimating the leaf area and the number of flower, the leaf length and width of F. japonicum were measured and applied to 8 regression models. As a result of regression analysis of 8 models that estimated leaf area and the number of flower, R2 values of the linear models were all higher than 0.84 and 0.80. As a result of validation, using the most reliable model among the models for estimating the leaf area and the number of flowering, R2 was 0.90 and 0.82, respectively. Using a model that estimates various indicators that can be used for quality evaluation from easy-to-measure morphological factors, the evaluation of ornamental plants will be facilitated.

토마토의 생육과 수확량을 예측하기 위한 중요한 요소 중의 하나는 엽면적이다. 이러한 엽면적을 정확하게 예측하는 것 은 토마토 식물 생장 평가 모델의 시작이라고 할 수 있다. 이를 위해 본 연구는 토마토 잎의 측정을 통해 엽면적(LA)을 추정 하는 효과적인 모델을 확인하기 위해 수행하였다. 토마토 식 물 잎 조사를 위해 2주 간격으로 5개체의 토마토 식물체의 전 개된 모든 잎에 대해 엽면적(LA), 엽장(L), 엽폭(W), 엽신장 (La)를 측정하였다. LA와 토마토 잎 독립변수의 상관관계는 La × W, L × W, La + W, L + W의 식이 강한 양의 관계를 나타 냈다. LA 추정은 LA = a + b(La2 + W2) 을 사용하는 선형 모델 이 가장 정확한 추정치를 나타내었다(R2 = 0.867, RMSE = 88.76). 9월부터 12월까지 토마토 잎의 위치에 따른 상, 중, 하 엽의 모델을 살펴본 결과, 상, 중, 하로 잎 위치에 따른 모델별 결정계수(R2) 값은 각각 0.878, 0.726, 0.794였다. 상위엽을 바탕으로 추정된 모델의 정확도가 가장 높았는데, 이는 10월 이후 토마토 재배 농가에서 중위엽과 하위엽에 실시한 반적엽 의 영향으로 판단된다.

A GoldSim Total System Performance Assessment has been developed and utilized for assessment of the various conceptual HLW repositories for spent nuclear fuels during last a few decades. Even though, almost all required parameter values associated with the repository system are frequently assumed or sometimes overestimated, they are still far from being highly reliable. Uncertainties nested in nuclide transport modeling around the repository are mainly dominated by these parametric uncertainties aside from intrinsic model uncertainty. Reliable estimate of the parameter values commonly expressed as probability density functions (PDFs) always require a large amount of measured data. Such input distributions are used as input to the probabilistic assessment program through Monte Carlo simulation to quantitatively provide possible uncertainty of the results. However, in most cases, especially in the safety assessment of the repository which is typically related with both long-time span and wide modeling domain, inefficient observed data from the field measurements are common, making conventional probabilistic calculations rather even uncertain. Since Bayesian approach is known to be especially powerful and efficient in the case of lacking of available data measured, such short data could be compensated by coupling with a priori belief, reducing uncertainty. By allowing the a priori knowledge for incorporating insufficient observed data, which include expert’ elicitation, their beliefs and judgment regarding the parameters as well as recent site-specific measurements, based on the Bayes’ theorem, the older parameter distributions, “prior” distribution can be updated to a rather newer and reliable “posterior” distribution. Newer distributions are not necessarily expressed as PDFs for probabilistic calculation. These updates could be done even iteratively as many times as data values are sequentially available, which calls sequential Bayesian updating, making belief of posterior distributions become much higher by reducing parametric uncertainty. To show a possible way to enhance the belief as well as to reduce the uncertainty involved in parameter for the Bayesian scheme, nuclide travel length in the far-field area of a hypothetical deep borehole spent fuel Repository was investigated. The algorithm and module that have been developed and implemented in GSTSPA through current study was shown to work well for all assumed prior, three sequential posterior distributions and likelihoods.

Background: Lower back pain (LBP) is a major cause of disability and a common musculoskeletal disorder encountered at some point in life. Dysfunction of the lumbar vertebrae has been associated with decreased flexibility of the hamstrings, which exhibited a strong positive correlation with LBP. Hamstring tension affects lumbar pelvic rhythm. We aimed to activate pelvic stability with compression by Active Therapeutic Movement (ATM), muscle energy technique (MET) was applied to increase the flexibility of the hamstring. Objects: In this study, we aimed to investigate the effects of MET with ATM and general MET were applied to the hamstring of adults, who were in their twenties with nor without LBP, on their pelvic inclination and the length of their hamstring. Methods: A total of 32 subjects were briefed about the purpose of this study and agreed to participate voluntarily. Before the experiment, all subjects were pre-examined, and they were divided into an LBP group and a no lower back pain group accordingly. Thereafter, all subjects participated in both in a crossover manner. After at least one week, they switched to another group and participated in the same experiment. Results: The study results revealed that both groups demonstrated significant results in the modified active knee extension test (p < 0.01) and the sit and reach test (p < 0.01) performed to assess the hamstring flexibility; an interaction (p < 0.05) was noted. Moreover, a more significant difference was observed between the MET with ATM and the general MET. Although significant results were obtained for the pelvic inclination (p < 0.01), interaction was not noted. Conclusion: Conclusively, in this study, when the MET with ATM was applied to the two groups, there was a significant difference compared to the general MET for hamstring flexibility, but it was confirmed that there was no significant difference for the pelvic inclination.

Background: Although rectus femoris (RF) eccentric training and static stretching (SS) have been reported effectively on lumbar flexibility, and muscle architecture, most studies are results using machines and long-term effects. Therefore, we want to investigate the effect of Reverse Nordic Hamstring Exercise (RNHE), a self-eccentric training, by immediately comparing it with SS. Objectives: To compare the RNHE and SS of RF to show the effects of lumbar flexibility, and fascicle length (FL). Design: Randomized controlled trial. Methods: A total of 30 study subjects were randomly allocated into an experimental group(Reverse Nordic Hamstring Exercise) and a control group(Static Stretching). Before and after the intervention, the subject performed fingertip to floor test (FFT) to evaluate the flexibility of the lumbar spine and measured FL through the SONON 300L (Healcerion Inc., Seoul, South Korea). Results: There was a significant effect on lumbar flexibility within both groups (P<.05), also there were clear results between the two groups (P<.05). FL showed a significant increase in RNHE (P<.05), but not in SS, and there was a no significant difference between the two groups. Conclusion: RNHE is effective in improving lumbar flexibility, and FL of RF muscle.

본 연구는 고속 스핀에코 기법의 T2 강조영상 획득에 있어 온도 상승을 최적화하기 위한 에코 개수(echo train length, ETL) 25를 기반으로 재자화 펄스의 범위에 따른 온도 변화와 이에 따른 신호대잡음비(signal to noise ratio, SNR) 분석을 통한 합리적인 영상 파라미터를 제시하고자 하였다. 온도 변화측정은 수소원자 공명주파수(proton resonance frequency shift. PRF) 기법을 활용했으며, 재자화 펄스의 각도(flip angle, FA)에 따른 온도 상승을 측정하였다. 온도 변화는 재자화 펄스 90도 인가 시에 약 0.202±0.023°C로 증가했으며, 이는 최소 FA인 60도(약 0.196±0.024°C)와 가장 유사하게 나타났다. 또한, 그 영상의 SNR은 FA 120도과 150도에 비해 FA 90도에서 약간 감소하는 경향이 나타났지만(약 12.5%), FA 180도와 비교하여 큰 차이는 발생하지 않았다 (FA 90도=349.66±3.68; FA 180도=357.68±3.21). 이 결과들은 고속스핀에코 기법에서 ETL 25를 사용한 빠른 영상획득 시간을 기반으로 합리적인 영상신호와 재자화 펄스에 의한 최소 온도 상승을 나타내며, 이는 인체 MR 안전기준을 충분히 보장하는데 기여할 수 있다. 특히, ETL 25와 결합된 90도 FA 사용은 가속화된 영상획득 시간, 합당한 T2 영상의 SNR, 그리고 최적의 인체 온도 증가를 위한 고속스핀에코 기법에서의 최적화된 영상 파라미터가 될 수 있을 것으로 사료된다.

This study was conducted to estimate the effect of different cutting lengths on fermentation characteristics and aerobic stability of whole crop rice (WCR) silage. The WCR was harvested at the yellow ripe stage (43.7%, DM), and then cut at 5 (R05), 10 (R10), and 20 cm (R20) of the theoretical length of cut with no cut WCR (R60). Each forage was ensiled into 20 L mini bucket silo (5 kg) for 150 days in quadruplicates. The cutting lengths were not affected the chemical compositions of WCR silage (p > 0.05). The pH (p < 0.001) and concentration of ammonia-N (p = 0.022) in WCR silage were increased linearly with the increase of cutting length. The concentration of lactate had quadratic effect (p = 0.007), which was highest in R20 silage (p < 0.05). The concentration of acetate was increased linearly (p = 0.014), but the concentration of butyrate was decreased linearly (p = 0.033). The lactic acid bacteria count was decreased linearly (p = 0.017), and yeast count had quadratic effect (p = 0.009), which was the highest in R20 silage (p < 0.05). Aerobic stability had strong quadratic effect (p < 0.001), which was the highest in R20 silage (p < 0.05). In conclusion, R60 silage had highest pH by a linear increase of ammonia-N concentration and led to low aerobic stability. While R20 silage had the lowest pH by high lactate concentration and led to high aerobic stability.

철근의 부식 문제를 해결하기 위해 최근 복합재료 기반의 철근이 개발되어 사용되고 있으며 CFRP 그리드도 개발되어 구조부재로 사용되기 시작하고 있다. 그러나 CFRP 그리드의 부착 특성과 응력을 연구한 경우는 매우 드물다. 이에 본 실험은 CFRP 그리드의 부착거동, 부착응력을 평가하고 정착길이를 산정하기 위해 다양한 길이의 정착길이를 가진 인발실험체를 제작한 후 인발하였으며 실험 결과 부착력의 경우 정착길이가 길어질수록 커지며 반대로 부착응력은 정착길이가 길어질수록 작아지는 결과를 얻을 수 있었다. 이는 FRP 보강근도 같은 경향을 보이지만 CFRP 그리드와 FRP 보강근의 차이점은 부착응력의 추세선의 경향에서 두드러지며 또한, 최대 부착력 이후 거동에서 차이를 나타냈다. 위 실험 결과를 토대로 CFRP 그리드의 정착길 이를 산정한 결과 본 연구에서 사용된 CFRP 그리드의 보수적인 정착길이는 250mm로 나타났다.