This study observed on habitual methods of toilet training for infants and toddlers in Korea thru 300 mothers at four medical institutions Ewha Woman′s University Hospital, Ewha Maternal and Child Health Center, Severance Hospital and Seoul National University Hospital) with a design to analyze beginning time, duration of period, methods employed, motives, equipments used, special terminology used for the subject training. The main purpose of this study was to generalize the proper methods of toilet training, and also to contribute a better psychological education for the mother and child. The results obtained from this study were as follows; 1. Majority of (67.3%) observed were in the age category between 30 and 40 years, and dominant numbers (64.7%) were housewives with high level of education and from middle class family background. 2. In the most cases (85%), toilet training was carried out by mothers(including wives who had a job) while more than half of mothers (53.7%) maintained their important motive for the training was "due to having high regard for cleanliness" 3. As for the time of beginning toilet training: finding indicated that starting period was decided (70%) at inconsiderate desertion of each mother. whereas, only minority group (30%) represents the cases where mother started the training when they consider tile child was physically and psychologically randy. Also greater number (77.7%) started bladder training prior to that of bowel. 4. It is noticeable that in course of training a large number of mothers (48.3%) applied strict training method when the child proper talenting, and the more rigid and strict in tile training. the more malformation of personality of the infant and toddler were seen after the training period (P<0.01). 5. Over the half of the total cases denoted (bowel 54.3%, bladder 67.7%) starting period before one year and in most cases (bowel 79.3%, bladder 729)the training was accomplished within 12 month, and therefore it was noted that earlier start(before 1 year) shortened the training period (with 12 month) . There was no significant difference between male and female infants in both starting period and duration of period in bladder training, however, in bowel training there was a tendency that female started earlier(7-12 months needed, 51.4%) than tile male (13-18 months needed, largest number 41.4%), and also in cases of female the period for needed for training were shorter than the cases of male. 6. Many a number (bowel 50.3%, bladder 97.7%) employed the method of continuous talenting at regular interval in accordance with that of child′s habit formed before training. Equipment used were various kinds, however, pieces of paper for male (45.5%) and piss pot or bedpost (42.3%) for female were common, on the other hand, "Eung-ga" for defecation (52.3%) and "Shii" for the urination (95.3%) were most standard expression that used during the training period.
Objective: The purpose of this study was to determine the force of lower extremities, the change in walking ability on the ground by applying a walking training program based on perceptual learning to improve gait capacity of chronic stroke patients. Method: This study included Twenty-four patients with chronic stroke. Using a perceptual-based gait training, the experimental group trained twice a day for 30 minutes each time, 5 times a week, for a total of 8 weeks. The control group underwent ground gait training that excluded the element of a perceptual training for 30 minutes, 5 times a week for 8 weeks. Results: In the two groups, the maximum forefoot pressure after intervention was significantly different in both the LEPGT and GGT (p<0.05). The maximum midfoot pressure was significantly different in LEPGT (p<0.05). There was a significant difference in the maximum heel pressure after intervention between the two groups (p<0.05). As a result of comparing the change in step length and stride length after intervention in the two groups, there was a significant difference between the two groups (p<0.05). Conclusion: Both gait training programs was found that gait training based on perceptual learning and ground gait training were the training for improving the functional gait of stroke patient. Perceptual learning gait training utilizing intensive perceptual awareness was the training for improving gait capacity within the period than ground gait training.
Journal of the Korean Society for Aviation and Aeronautics
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v.31
no.1
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pp.68-78
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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.
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.
The purpose of this study was to develop teacher-training for improvement of teaching efficacy of technology teacher. The study was carried out through Delphi research method. It was executed for investigating the professional and wide-range opinions of expert panel to examine the validity. The validity was confirmed by concurrence ratio, convergence ratio, contents validity ratio (CVR). Major results of this study were as follows: First, necessity, nature, purpose of teacher-training for improvement of teaching efficacy of technology teacher was set up. And this teacher-training have 12 objectives in 3 domains (cognitive, affective, psychomotor). Second, contents of this teacher-training were designed to be applicable for 10 modules (300 hours). For example, module1 (introduction of technology education), module2 (construction technology), module3 (information communication technology), etc. Third, educational method, training educator, evaluation method of this teacher-training were developed. Fourth, each module of this teacher-training is 30 hours in length. And summer or winter vacation is appropriate for this teacher-training time. Appropriate teacher-training time is six hours a day. Fifth, roles of educational institution for this teacher-training were suggested. Sixth, strategies to vitalize this teacher-training were suggested.
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.
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.
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.
Proceedings of the Korean Society of Broadcast Engineers Conference
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2019.06a
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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.
International Journal of Internet, Broadcasting and Communication
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v.16
no.1
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pp.148-155
/
2024
We are designed was to find an efficient warm-up method for resistance training for muscle hypertrophy, and 10 males with at least 3 years of resistance training experience were selected as subjects. The 75% 1RM was measured directly based on the pre-measured bench press 1RM. After that, the main experiment of 75% 1RM bench press according to the three warm-up methods was conducted one week apart, and all experiments were randomized and cross-over. Performance according to the warm-up method (3) was measured by total exercise volume, and physiological changes were determined by myocardial workload. All post-measurement data were analyzed using SPSS.22.0 and analyzed using repeated measures one-way ANOVA and contrast comparisons were made using the deviation method. The results showed that the method of gradually increasing the number of repetitions by performing the same intensity as the intensity of the main exercise in the form of muscle hypertrophy, but at submaximal repetitions, showed the highest performance.
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