• Therapeutic Science for Rehabilitation
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• v.2 no.2
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• pp.47-59
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• 2013

Objective : This study is conducted to find the influence on upper extremity function, cognitive function and activities of daily living when stroke patients receive task-oriented training in group or individually. Methods : Twenty-six inpatients are assigned to two groups(task training group and individual training group) randomly, who receive rehabilitation therapy after stroke diagnosis for 5 months(june to november, 2012) in a hospital. Both groups receive a task-oriented training for 30 minutes a day for 3 weeks. FMA were used to measure upper extremity function, K-MMSE were used to measure cognition, and MBI for ADL. Results : Before training. two groups were not different significantly in upper extremity function and cognitive function. But in activities of daily living, bathing self(p<.001), feeding, personal hygiene and total score(p<.05) are higher in group training group. After training, upper extremity function is higher in individual training group(p<.001). In both training group, upper extremity function, feeding, personal hygiene, bathing self, dressing, toilet, chair/bed transfers, ambulation and stair climbing, total score are improved significantly(p<.05). In comparing of variation before and after training, upper extremity function(p<.001), feeding and total score of activities of daily living are more improved significantly in individual training group(p<.05). Conclusion : The outcome shows that task-oriented training can improve upper extremity function and activities of daily living in both training group. Especially, the more upper extremity function is improved, the more activities of daily living is improved. In the future, it will be necessary longitudinal study for a long time for more patients.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.147-149
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• 2022

This paper proposes a state machine design methodology in which an interactive robot that mimics discrete trial training (DTT protocol) can support social interaction training for children with autism. The robot applied to social interaction training uses the response to the provided training stimulus as a quantitative indicator by processing the data received from the sensors measuring the behavioral response of the child. In this process, the state machine is used as information that classifies the state of the acquired data and provides the subsequent stimulus for DTT protocol. Through the joint attentional training, it can be used as evidence-based treatment information by quantitatively classifying the data on the number of sustainable and DTT protocol and the child's response, as well as the current reaction status of the child to the observer performing remote monitoring. At the same time, it was confirmed that it is possible to properly respond to misrecognition situations.

• Journal of KIISE:Software and Applications
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• v.31 no.7
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• pp.859-868
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• 2004

We propose a method of selecting initial training examples for active learning so that it can reach high accuracy faster with fewer further queries. Our method is based on the assumption that an active learner can reach higher performance when given an initial training set consisting of diverse and typical examples rather than similar and special ones. To obtain a good initial training set, we first cluster examples by using k-means clustering algorithm to find groups of similar examples. Then, a representative example, which is the closest example to the cluster's centroid, is selected from each cluster. After these representative examples are labeled by querying to the user for their categories, they can be used as initial training examples. We also suggest a method of using the centroids as initial training examples by labeling them with categories of corresponding representative examples. Experiments with various text data sets have shown that the active learner starting from the initial training set selected by our method reaches higher accuracy faster than that starting from randomly generated initial training set.

• Proceedings of the Korea Society for Simulation Conference
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• 2001.05a
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• pp.126-126
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• 2001

국방 시뮬레이션 유형은 워게임 모형으로 분류되는 Constructive 시뮬레이션, 실 기동에 의한 Live 시뮬레이션, 그리고 가상현실을 적용한 Virtual 시뮬레이션 등 3가지로 분류될 수 있다. 워게임 시뮬레이션은 일반적으로 대부대 훈련에 적합하지만 많은 가정사항을 내포하게 됨으로써 현실감이 떨어지고 실 기동 시뮬레이션은 실전적인 훈련이 가능하지만 전구급 수준의 대부대 훈련에의 적용이 곤란한 단점이 있다. 또한 이들 시뮬레이션 유형들은 개별적으로 운용됨으로써 각 유형들이 가지고 있는 취약점이 노출되고 있는 현실이다. STOW(합성전장 훈련체계, Synthetic Theater of War)는 실제훈련이 가능한 분야는 실 기동으로, 실 훈련이 불가능한 전장상황은 시뮬레이션 기법을 활용하여 상호결합 시킴으로써 각 시뮬레이션 유형들의 제한사항을 상호 보완하여 실제와 유사한 전장을 조성하여 훈련하는 종합적이고 체계적인 훈련체계로써 21세기에 예상되는 전쟁이외의 작전(OOTW), 비대칭전, 정밀타격 및 C4I를 모의할 수 있는 엔티티 수준의 합성전장이다. 본 고는 STOW의 구성요소(합성부대, 합성환경, 시뮬레이션 네트워크, 지형 DB 개발도구, C4I 인터페이스, 기반체계 등)를 국내기술 능력과 비교, 분석함으로써 우리의 여건에 적합한 STOW 체계 구축방안을 제시하고자 한다.

• Journal of Korea Multimedia Society
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• v.14 no.11
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• pp.1373-1382
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• 2011

In this study, we propose an automated smile analysis system for self smile training. The proposed system detects the face area from the input image with the AdaBoost algorithm, followed by identifying facial features based on the face shape model generated by using an ASM(active shpae model). Once facial features are identified, the lip line and teeth area necessary for smile analysis are detected. It is necessary to judge the relationship between the lip line and teeth for smiling degree analysis, and to this end, the second differentiation of the teeth image is carried out, and then individual the teeth areas are identified by means of histogram projection on the vertical axis and horizontal axis. An analysis of the lip line and individual the teeth areas allows for an automated analysis of smiling degree of users, enabling users to check their smiling degree on a real time basis. The developed system in this study exhibited an error of 8.6% or below, compared to previous smile analysis results released by dental clinics for smile training, and it is expected to be used directly by users for smile training.

• Journal of Internet Computing and Services
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• v.2 no.1
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• pp.97-106
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• 2001

In this paper, we design and implement complement based speech training system for voice disorder. The system consists of three level of training: precedent training, training for speech apprehension and training for speech enhancement. To analyze speech of voice disorder, we extracted speech features as loudness, amplitude, pitch using digital signal processing technique. Extracted features are converted to graphic interface for visual feedback of speech by the system.

• KDI Journal of Economic Policy
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• v.33 no.3
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• pp.87-120
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• 2011

This paper examines how the levy-grant system for on-the-job training affects individual workers' training level and the subsequent wage growth. Some notable results include: (i) the workers at the firms facing high net benefits (i.e., grant minus levy) receive more firm training indeed, and (ii) training provision raises post-training earnings substantially. All these results are found to be robust to changes in firm size and estimation method.

• Phonetics and Speech Sciences
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• v.13 no.4
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• pp.9-21
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• 2021

This study investigated whether Korean learners improve acoustic cue weights to identify Korean lenis and aspirated stops in the direction of native values through perception training that focused on contrasting the stops in various phonetic contexts. Nineteen native Chinese learners of Korean and two native Korean instructors for the perception training participated in the experiment. A training group and a non-training group were divided according to pretest results, and only the training group participated in the training for 5 days. To estimate the perceptual weights of the stop cues, a pretest and a posttest were conducted with stimuli whose stop cues (F0 and VOT) were systematically manipulated. Binary logistic regression analyses were performed on each learner's test results to calculate perceptual β coefficients, which estimate the perceptual weights of the acoustic cues used in identifying the stop contrast. The training group showed a statistically significant increase of 0.451 on average in the posttest for the coefficient values of the F0, which is the primary cue for the stop contrast, whereas the non-training group showed an insignificant increase of 0.246. The patterns of change in the F0 use after training varied considerably among individual learners.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.4888-4894
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• 2011

This study conducts an empirical analysis using AMOS and PASW of the effect for the management innovation infra-especially, mission statement and strategy and HRM practices to organizational performance. The study confirms that management innovation infra has an influence on the HRM practices. It partly confirms the effect of HRM practices on the relationship between organizational performance-turn over rate.

• Journal of Labour Economics
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• v.25 no.1
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• pp.131-160
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• 2002

This article tried to find out the individual wage effect of training. This Article used 1998, 1999 KLIPS(Korea Labor and Income Panel Study) panel data. The size of the individual wage effect of training was twice of tenure's, and had significance. Training had a good effect on the job satisfaction and carrier development. To overcome self selection bias, this article regressed the first difference of wage equations, but we didn't get the significant results. Dividing sample into quitters and non-quitters in order to investigate the relation between training cost and benefit, we regressed separately the each first difference of wage equation. On quitters, the individual effect of training appeared significantly, but on non-quitters, it didn't. This results mean that employer does not raise wage rate according to upgraded skill originated in incumbent's training. And the results also mean that the upgraded skill of employee who quit pre-employer is recognized by new employer, and his wage rate rises in his new job.