• The Journal of Korean Physical Therapy
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• v.24 no.6
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• pp.409-413
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• 2012

Purpose: Rehabilitative devices are used to enhance sensorimotor training protocols, for improvement of motor function in the hemiplegic limb of patients who have suffered a stroke. Sensorimotor integration feedback systems, included with these devices, are very good therapeutic frameworks. We applied this approach using electrical stimulation in stroke patients and examined whether a functional electric stimulation-assisted biofeedback therapy system could improve function of the upper extremity in chronic hemiplegia. Methods: A prototype biofeedback system was used by six subjects to perform a set of tasks with their affected upper extremity during a 30-minute session for 20 consecutive working days. When needed for a grasping or releasing movement of objects, the functional electrical stimulation (FES) stimulated the wrist and finger flexor or extensor and assisted the patients in grasping or releasing the objects. Kinematic data provided by the biofeedback system were acquired. In addition, clinical performance scales and activity of daily living skills were evaluated before and after application of a prototype biofeedback system. Results: Our findings revealed statistically significant gradual improvement in patients with stroke, in terms of kinematic and clinical performance during the treatment sessions, in terms of manual function test and the Purdue pegboard. However, no significant difference of the motor activity log was found. Conclusion: Hemiplegic upper extremity function of a small group of patients with chronic hemiparesis was improved through two weeks of training using the FES-assisted biofeedback system. Further research into the use of biofeedback systems for long-term clinical improvement will be needed.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.573-594
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• 2017

The present study interviewed Eight novice supervisors (i.e., counselling psychologists with fewer than 5 years of experience) to investigate the need for formal supervision training. A consensual qualitative research method was used to analyze data, and the result found four main domains, 12 sub-domains, and 33 categories. The results also indicated that novice supervisors believe their own supervisors and expert supervisors have a great understanding of individual counselling cases, and that the role of a supervisor is to help supervisees' ability to understand each case better. Novice supervisors generally take their own supervisors as their role models, although most of them did not receive formal training from their own supervisors. Novice supervisors seek advice on supervision from their colleagues or their own supervisors but still find supervising difficult. They also believe there is a great need for clearly set guidelines or a manual on providing effective supervision.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.2
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• pp.517-524
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• 2010

Recently, the size of online texts and textual information is increasing explosively, and the automated classification has a great potential for handling data such as news materials and images. Text classification system is based on supervised learning which needs laborous work by human expert. The main goal of this paper is to reduce the manual intervention, required for the task. The other goal is to increase accuracy to be high. Most of the documents have high complexity in contents and the high similarities in their described style. So, the classification results are not satisfactory. This paper shows the implementation of classification system based on ETOM+RPost algorithm and classification progress using SPAM data. In experiments, we verified our system with right-training documents and wrong-training documents. The experimental results show that our system has high accuracy and stability in all situation as 16% improvement in accuracy.

• The Journal of the Korea Contents Association
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• v.7 no.10
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• pp.302-310
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• 2007

This research, through an empirical analysis of the management of food materials in the super deluxe and deluxe hotels in Seoul, verified the difference, and established strategies according to the difference. According to the study, to enhance the level of the food material management, the introduction of scientific methods and system of the deluxe hotels has to be preceded, the training of special inspectors and the utilization of inspection methods needs improvement, and the purchasing contracts and effective purchasing methods have to be renewed. As for the storing management, the difference between hotel grades was low. The implication of this study as follows. First, to enhance the efficiency of man power operation, we have to introduce computer systems. Second, training based on the food materials purchasing manual has to be achieved. Third, we have to increase inspectors' specialty through the arrangement of man power rotation.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.17-24
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• 2019

The biggest problem in the AI field, which has become a hot topic in recent years, is how to deal with the lack of training data. Since manual data construction takes a lot of time and efforts, it is non-trivial for an individual to easily build the necessary data. On the other hand, automatic data construction needs to handle data quality issue. In this paper, we introduce a method to automatically extract the data required to develop Korean speech command recognizer from the web and to automatically select the data that can be used for training data. In particular, we propose a modified ResNet model that shows modest performance for the automatically constructed Korean speech command data. We conducted an experiment to show the applicability of the command set of the health and daily life domain. In a series of experiments using only automatically constructed data, the accuracy of the health domain was 89.5% in ResNet15 and 82% in ResNet8 in the daily lives domain, respectively.

• Journal of Korean Society of Rural Planning
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• v.17 no.1
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• pp.89-98
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• 2011

Recently, the food industry has evolved into a new and innovative trend according to its globalization and change of food consumption patterns. However, it is hard for the traditional food industry in Korea to meet the changing consumers' needs because of its poorer quality control and lower industrialization technology than other advanced industries. Also the knowledges acquired through a lot of time and efforts would be lost after the human resources with tacit knowledges leave by their too much aging. Especially, the 21st century would be called as knowledge based society which means that knowledge be the important contributing factor in the economic growth. In this regard, this study aimed at proposing the knowledge based system for systematically managing or preserving knowledges of Mosisongpyun industry in Yeonggwang County to seek for the sustainable development of the traditional food industry in Korea. The knowledge based system of Mosisongpyun industry in Yeonggwang County is finally proposed as follows; First, hardware is composed with the necessary unit facilities such as interpretive center, learning and experience room, library, etc. And the integrating facilities such as Mosisongpyun theme park, traditional village, and knowledge industrialization support center are proposed. Second, software is composed with the necessary unit softwares such as the preservation manual of traditional knowledge and skill, web-site administrator, development of graded textbooks, development database software, etc. And the integrating softwares such as development of innovation and management ability in Mosisongpyun industry are proposed. Third, humanware is composed with the necessary unit programs such as exhibition, own training program, incubator support system, etc. And the integrating programs such as the farm association corporation, the testing and research institute, the institution of learning and training are proposed.

• Physical Therapy Rehabilitation Science
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• v.6 no.2
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• pp.96-104
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• 2017

Objective: The purpose of this study was to investigate the effect of the hip joint strengthening exercises using proprioceptive neuromuscular facilitation (PNF) on the clinical symptoms and the treatment effects in balance, sit to stand, and gait abilities in patients with TBI. Design: A single case study. Methods: A 13-year-old adolescent with quadriplegia and hip joint control impairment participated in this four-week training intervention. The patient, diagnosed with TBI, wastreated with hip joint strengthening exercises using PNF. In the first week, we focused on strengthening the body, relaxing the hip flexors and activating the hip extensor muscles in order to solve the patient's physical function and body structure. From the 2nd and 4th week, we improved the motivation through the task-oriented method, and then weight-bearing training of the right lower extremity was proceeded by kicking a soccor ball with the left lower extremity. The exercises were performed for 4 weeks, 5 days a week, for 60 minutes with the exercise intensity gradually increased according to the subject's physical abilities. Results: As a result of the study, the patient demonstrated improvements in the physical examination, which were evaluated before and after intervention and included the manual muscle test, modified Ashworth scale, sensory assessment, coordination assessment, Berg balance scale, 5-time sit to stand test, and the 10 meters walk test. Conclusions: The results of this case suggest that a hip joint strengthening exercise program using PNF may improve hip control ability, balance, sit to stand and gait ability in a patient with TBI.

• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.239-250
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• 2020

This study was conducted to elicit the competencies of college faculties and their educational needs depending on the careers. 110 full-time professors from A college in Gyeonggi-do participated in this study from November 27 to December 7, 2018. The findings are that competencies of college faculties were found as 10 teaching competencies and 7 general competencies, and most of the competencies showed differences in importance and performance. In addition, according to the t-test and Borich needs analysis, there were differences in the educational needs of faculties depending on the three careers: a group with less than five years of experience, a group with six to ten years of experience, and a group with more than 11 years of experience. The results of this study suggest the systematic education and training program to improve the competencies of college faculties are necessary and show designing a concrete road map and training manual is needed.

• Phonetics and Speech Sciences
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• v.7 no.3
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• pp.139-149
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• 2015

This paper aims to analyze pronunciation variations of loanwords produced by Korean and improve the performance of pronunciation modeling of loanwords in Korean by using syllable-based segmentation and phonological knowledge. The loanword text corpus used for our experiment consists of 14.5k words extracted from the frequently used words in set-top box, music, and point-of-interest (POI) domains. At first, pronunciations of loanwords in Korean are obtained by manual transcriptions, which are used as target pronunciations. The target pronunciations are compared with the standard pronunciation using confusion matrices for analysis of pronunciation variation patterns of loanwords. Based on the confusion matrices, three salient pronunciation variations of loanwords are identified such as tensification of fricative [s] and derounding of rounded vowel [ɥi] and [$w{\varepsilon}$]. In addition, a syllable-based segmentation method considering phonological knowledge is proposed for loanword pronunciation modeling. Performance of the baseline and the proposed method is measured using phone error rate (PER)/word error rate (WER) and F-score at various context spans. Experimental results show that the proposed method outperforms the baseline. We also observe that performance degrades when training and test sets come from different domains, which implies that loanword pronunciations are influenced by data domains. It is noteworthy that pronunciation modeling for loanwords is enhanced by reflecting phonological knowledge. The loanword pronunciation modeling in Korean proposed in this paper can be used for automatic speech recognition of application interface such as navigation systems and set-top boxes and for computer-assisted pronunciation training for Korean learners of English.

• Journal of Applied Reliability
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• v.12 no.1
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• pp.13-24
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• 2012

This paper applied the Blue Print and FMEA (Failure Mode and Effect Analysis) to education service in order to raise the education service satisfaction. First, the Blue Print is deployed to come up with strategies to overcome the fail possibility point and waiting point. Next, in order to analyze the fail factors and alternative strategies, the Blue Print of education service is applied to FMEA. The results are as follows; first, the ommission from information document by web-mail or e-mail, Second, thing that selected in spite of company uneducated, thing that omitted despite the company is target, and the unsatisfaction of attendee about training contents. Third, the delay of counsel at the telephone reply, erroneous list of course name and attendee at HRD (Human Resource Development), omission of check whether attends or not. Except for unsatisfaction of attendee, all appears at the process that service delivered. And the unsatisfaction of attendee is about education contents. Both is the factor which have influence on the education service quality. The strategies to remove the failure mode are training and manual development on service and work, a thorough management and check of information system like as ERP (Enterprise Resoure Planning), HRD, education institution list DB (Data Base), on-line application system, a development of education program to offer best education that reflect the user needs and continuously changing environment.