• 한국항공운항학회지
• /
• 제31권1호
• /
• pp.68-78
• /
• 2023

This study aims to provide information necessary for developing a "Competency-Based Training and Evaluation Plan" for general aviation flight instructors in Korea. General aviation training experts designed a survey by selecting "Behavior Indicators" from the ICAO Flight Instructor Competency Model. This study analyses the importance of Behavioral Indicators, the level of instructor performance, and the training needs for flight instructors. According to the factor analysis, ICAO "Flight Instructor Competency Model" is found as a valid tool to measure general aviation flight instructor competencies. According to the training needs analysis, flight instructors training program needs to be improved on "Training Environment Management", "Teaching Method", and "Interaction" competencies. When compared with trainee group, flight instructors & examiners have a higher training demand for "Teaching & Learning Environment Management". This study suggests the flight instructor training program requires to be reorganized based on the competencies related to the flight instructor duties in the training environments.

• 한국운동역학회지
• /
• 제34권1호
• /
• pp.18-24
• /
• 2024

Objective: The purpose of this study was to evaluate the effects of an 8-week velocity-based training on the maximum vertical jump in elite sprinters. Method: Ten elite sprinters were participated in this study (age: 21 ± 0.97 yrs., height: 179 ± 3.54 cm, body mass: 72 ± 2.98 kg). An 8-week velocity-based power training was provided to all subjects for twice per week. Their maximum vertical jumps were measured before and after velocity-based training. A 3-dimensional motion analysis with 8 infrared cameras and 4 channels of EMG was performed in this study. A paired t-test was used for statistical verification. The significant level was set at α=.05. Results: There were no statistically significant differences were found between pre and post the training (p>.05). However, most variables included jump record, knee joint ROM, and muscle activation of rectus femoris showed increased pattern after the training. Conclusion: In this study, an 8-week velocity-based training did not showed the significant training effects. However, knee joint movement which is the key role of the vertical jump revealed positive kinematic and kinetic pattern after the training. From this founding, it is believed that velocity-based training seems positively affect the vertical jump which is the clear measurement of mechanical power of sprinter. In addition, to get more clear evidence of the training more training period would be needed.

• 대한공업교육학회지
• /
• 제37권2호
• /
• pp.21-55
• /
• 2012

이 연구의 목적은 기술교사의 교수효능감 향상을 위한 직무연수를 개발하는데 있었다. 이 연구의 목적을 달성하기 위하여 델파이 연구법을 적용하였으며, 다양한 분야의 전문가 15명으로 전문가 집단을 구성하였다. 1차 조사 기간은 2012년 4월 9일부터 14일까지이었으며, 2차 조사 기간은 2012년 4월 18일부터 20일이었다. 1, 2차 모두 델파이 설문지를 100% 회수하였으며, 타당도 확보를 위해 합의도, 수렴도, 내용 타당도 비율(CVR)을 분석하였다. 이 연구의 결과는 다음과 같았다. 첫째, 기술교사의 교수효능감 향상을 위한 직무연수의 목적을 설정하였다. 그리고 교수효능감 향상을 위한 직무연수의 목표를 인지적 영역, 정의적 영역, 심체적 영역별로 각 4가지씩 총 12가지 설정하였으며, 4가지 연수의 필요성과 4가지 연수의 성격을 규정하였다 둘째, 기술교사의 교수효능감 향상을 위한 직무연수 프로그램을 10가지 영역으로 구성하였으며, 각 영역별 교육내용과 시수를 구성하였다. 셋째, 기술교사의 교수효능감 향상을 위한 직무연수에 적합한 교수법, 강사, 연수평가방법을 설정하였다. 넷째, 기술교사의 교수효능감 향상을 위한 직무연수의 총 연수 시간은 300시간이 적합하며, 10개의 영역으로 나누어, 각 영역별로 30시간씩 설정하는 것이 적합하다. 그리고 운영시기는 방학 중이 적합하고, 1일 연수 시간은 6시간이 적합하다. 다섯째, 기술교사의 교수효능감 향상을 위한 직무연수의 기관별 역할을 제안하였다. 여섯째, 기술교사의 교수효능감 향상을 위한 직무연수의 활성화 방안을 제안하였다.

• Journal of Electrical Engineering and Technology
• /
• 제9권1호
• /
• pp.52-59
• /
• 2014

Operator training simulator, within a training environment designed to understand the principles and behavior of the railway system with respect to operator's entries and predefined scenario, can provide a very strong benefit in facilitating operators' handling undesired operations. This simulator consists of computer system and applications, and the purpose of applications is to generate the power and voltage and analyze the AC substation and DC railway, respectively. This paper describes a novel approach to the new techniques for AC/DC hybrid simulation for the operator training simulator in the railway system. We first propose the structure the database of railway system. Then, topology processing and power flow using a linked-list method based on the proposed database, full or decoupled newton-rapshon methods are presented. Finally, the interface between the analysis for AC substation using a newton-rapshon method and the analysis for DC railway system using a time-interval power flow method is described. We have verified and tested the developed algorithm through the extensive testing for the proposed test system. To demonstrate the validity of the developed algorithm, comparative simulations between the proposed algorithm and PSS/E for the test system were conducted.

• Journal of Multimedia Information System
• /
• 제9권2호
• /
• pp.75-86
• /
• 2022

The existing image quality assessment (IQA) datasets have a small number of samples. Some methods based on transfer learning or data augmentation cannot make good use of image quality-related features. A No Reference (NR)-IQA method based on multi-task training and quality awareness is proposed. First, single or multiple distortion types and levels are imposed on the original image, and different strategies are used to augment different types of distortion datasets. With the idea of weak supervision, we use the Full Reference (FR)-IQA methods to obtain the pseudo-score label of the generated image. Then, we combine the classification information of the distortion type, level, and the information of the image quality score. The ResNet50 network is trained in the pre-train stage on the augmented dataset to obtain more quality-aware pre-training weights. Finally, the fine-tuning stage training is performed on the target IQA dataset using the quality-aware weights to predicate the final prediction score. Various experiments designed on the synthetic distortions and authentic distortions datasets (LIVE, CSIQ, TID2013, LIVEC, KonIQ-10K) prove that the proposed method can utilize the image quality-related features better than the method using only single-task training. The extracted quality-aware features improve the accuracy of the model.

• Structural Engineering and Mechanics
• /
• 제90권2호
• /
• pp.189-208
• /
• 2024

Artificial intelligence is one of the efficient methods that can be developed to simulate nonlinear behavior and predict the response of building structures. In this regard, an adaptive method based on optimization algorithms is used to train the TSK model of the fuzzy inference system to estimate the seismic behavior of building structures based on analytical data. The optimization algorithm is implemented to determine the parameters of the TSK model based on the minimization of prediction error for the training data set. The adaptive training is designed on the feedback of the results of previous time steps, in which three training cases of 2, 5, and 10 previous time steps were used. The training data is collected from the results of nonlinear time history analysis under 100 ground motion records with different seismic properties. Also, 10 records were used to test the inference system. The performance of the proposed inference system is evaluated on two 3 and 20-story models of nonlinear steel moment frame. The results show that the inference system of the TSK model by combining the optimization method is an efficient computational method for predicting the response of nonlinear structures. Meanwhile, the multi-vers optimization (MVO) algorithm is more accurate in determining the optimal parameters of the TSK model. Also, the accuracy of the results increases significantly with increasing the number of previous steps.

• 노동경제논집
• /
• 제36권1호
• /
• pp.63-91
• /
• 2013

본 연구에서는 경제활동인구 부가조사 자료를 이용하여 비정규직의 세부유형별로 직업훈련의 임금 및 고영안정성 효과를 분석하였다. 성향점수매칭방법을 통하여 선택 편의가 없는 처치효과의 추정치를 구하여 분석한 결과, 정규직의 훈련에 따른 임금효과는 4.2%로 비정규직 가운데 유의하게 나타난 기간제 근로의 2.7%보다 훨씬 높게 나타났다. 통제된 데이터를 기반으로 로지스틱 회귀분석을 이용하여 정규직의 정규직 유지를 분석한 결과, 훈련참여 여부는 통계적으로 유의하지 않았으나 훈련시간은 유의하게 나타났으며, 비정규직의 정규직 전환의 경우에는 기간제 근로에서만 훈련참여 여부 및 훈련시간 모두 유의하게 나타났다. 비정규직 유형 중 기간제가 직업훈련의 임금이나 고용효과 모두에서 긍정적으로 나타난 결과는 정규직과 유사하게 사용자와 피고용인의 관계가 다른 비정규직 유형에 비해 보다 명확하기 때문인 것으로 해석된다.

• 간호행정학회지
• /
• 제10권3호
• /
• pp.291-298
• /
• 2004

Purpose: This study is to investigate if the effectiveness training program, suggested by Gordon(1970), could help these nursing students with the problems of interpersonal relationship and self-identification. Method: This study was designed using nonequivalent control group protest-posttest design. The subject for this study were thirty nursing students. Fifteen nursing students of the experimental group experienced the Effectiveness Training for 8 weeks (3 hours/week). The effect of Effectiveness Training was measured using Relationship Change Scale devised by Lee, H.D. & Moon, S.M.(1979) and Ego Identity Scale devised by Dignan(1965) which was translated by Seo, B.Y.(1975) Pretest data were collected by the researcher from both experimental and control group before training. After the end of eight weeks training, posttest data collected from both experimental and control group. Samples were analyzed using SPSS PC+. Result: 1. The first hypothesis, "level of interpersonal relationship of the experiment group after 8 weeks will be significantly higher than that of the control group"(z=-1.965, p=.049)was supported. 2. The second hypothesis, "level of ego-identity of the experimental group after 8 weeks will be significantly higher than that of the control group"(z=-2.191, p=.028)was supported. 3. The third hypothesis, "level of interpersonal relationship of the experiment group will be significantly higher than that of the control group after 4 months of training"(z=-.634, p=.238)was not supported. 4. The fourth hypothesis, "level of ego-identity of the experimental group will be significantly higher than that of the control group after 4 months of training"(z=-.292, p=.642)was not supported. Conclusion: The Effectiveness Training can be considered as an effective method of nursing students's interpersonal relationship & ego-identity, because it was proved to help nursing students increase level of their interpersonal relationship & ego-identity but it was needed to reinforce for continuing of the effect of the interpersonal relationship & ego-identity.

• 대한물리의학회지
• /
• 제17권1호
• /
• pp.21-30
• /
• 2022

PURPOSE: This study examined the effects of treadmill training with taping on the affected ankle joint on the gait and balancing ability in patients with sub-acute stroke. METHODS: Nineteen patients with sub-acute hemiplegic stroke in a rehabilitation hospital were assigned randomly to either the experimental group (n = 10), who received treadmill training with taping on the affected ankle joint or the control group (n = 9), who received general treadmill training. All participants performed 60 min of comprehensive rehabilitation therapy (five sessions per week for four weeks). Each group received treadmill training with or without taping on the affected ankle joint for 20 min (three sessions per week for four weeks). The gait and balancing ability were measured before and after the four-week training. RESULTS: Post-training scores of 10-meter walk test (10 MWT), timed up and go (TUG) test, and center of pressure (COP) path length and velocity for the experimental group increased significantly compared to that pre-training (p < .05). The experimental group showed a larger decrease in the 10 MWT and TUG test than the control group (-3.5 s vs. -1.01 s, p < .05; -4.9 s vs. -1.7 s, p < .05; respectively) CONCLUSION: Treadmill training with taping on the affected ankle joint might improve the gait and balancing ability of stroke patients and is considered a more effective method for improving gait and balancing ability than the method of general treadmill training.

• 한국방송∙미디어공학회:학술대회논문집
• /
• 한국방송∙미디어공학회 2019년도 하계학술대회
• /
• pp.102-105
• /
• 2019

In the classical single-image super-resolution (SISR) reconstruction method using convolutional neural networks, the extracted features are not fully utilized, and the training time is too long. Aiming at the above problems, we proposed an improved SISR method based on a residual network. Our proposed method uses a feature fusion technology based on improved residual blocks. The advantage of this method is the ability to fully and effectively utilize the features extracted from the shallow layers. In addition, we can see that the feature fusion can adaptively preserve the information from current and previous residual blocks and stabilize the training for deeper network. And we use the global residual learning to make network training easier. The experimental results show that the proposed method gets better performance than classic reconstruction methods.