• Korean Institute of Interior Design Journal
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• v.19 no.1
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• pp.112-120
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• 2010

Generally, Interior design understood as shapes, lines, spaces, tones, quality, and principal. And people research these with a study of formative approach. The six elements of above categories are basis of expansion for the various designs. In this study, the represented design language is extracted by the basic 6 stages and re-divided into classes. This study presented by the Kobayashi-scale image of the current trends in the assignment to examine the cultural, functional, sensory vocabulary, three elements were classified by the assignment about 2008~2009 international fair by trend and design direction for the image. If we look into the categorized format of the design, it reflects mixed culture with emotional approach and shows direction of design constantly. Especially, compared to the year 2008, the design of year 2009 has tendency as an emotional translator regarding the verbal expression. In other words, it becomes more concrete to express the design of emotions for human beings. In addition, design shows detail of its flow with outcomes of past leading trend which was re-created shape. On the other hand, undeveloped cultures such as folk, historical, and unique cultures attract design leaders as it is. This research would make good relationship between designers and customers regarding the newly started international trend of design. Hereby I research with the method to reclassify the image of vocabulary from the image scale extract. It remains as a task to resolve ambiguous, complex and neutral expression for better understanding and definite analysis method to the public.

• The Journal of Korean Physical Therapy
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• v.29 no.5
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• pp.246-254
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• 2017

Purpose: Previous studies have reported that action observation training has beneficial effects on enhancing the motor task, such as balance and gait functions. On the other hand, there have been few studies combined with action observation training and auditory feedback. The purpose of this study was to determine the effects of action observation training with auditory feedback on the gait function in stroke patients with hemiparesis Methods: A total of 24 inpatients with post-stroke hemiparesis were assigned randomly to either an experimental group 1 (EG 1, n=8), experiment group 2 (EG 2, n=8), control group (CG, n=8, EG 1). The EG 2 and CG watched video clip demonstrating three functional walking tasks with auditory feedback, without auditory feedback, and showing a landscape image, respectively. The exercise program consisted of 30 minutes, five times a week, for four weeks. The participants were measured to 10MWT (10 m walk test), 6MWT (6 minutes walking distance test), TUG (timed up and go test), DGI (dynamic gait index), time and steps of F8WT (figure-of-8 walk test). Results: In the intra-group comparison after the intervention, EG 1 and EG 2 showed a significantly different gait function (10MWT, 6MWT, DGI, TUG, F8WT) (p<0.05). In the inter-group comparison after intervention, EG 1 showed significant improvements in the entire gait parameters and EG 2 only showed significant improvement in DGI and TUG compared to CG (p<0.05). Conclusion: These findings show that action observation training with auditory feedback may be used beneficially for improving the gait function of stroke patients with hemiparesis.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.6
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• pp.801-808
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• 1999

지금까지, 전기통신망과 장비들의 관리에 대해서는 많은 연구들이 진행되었지만, TMN 상위 계층의 서비스 관리와 비즈니스 관리에 대한 연구는 많이 수행되지 못했다. 최근 전세계적으로 TMN 상위 계층의 관리기능 구현을 위해서 CORBA 기술을 적용하고자하는 관심이 증가하고 있다. 본 논문에서는, 정보모델과 상호운용에 관한 TMN과 CORBA의 주요특징들을 비교하고, TMN 프레임웍와 효율적인 CORBA 기술 연동을 위한 플랫폼 구조를 제안한다. 제안된 구조에서, TMN 관리 정보를 CORBA IDL 인터페이스로 변환해주는 GDMO/ASN.1 - CORBA IDL 변환기가 고안, 구현되었고, JIDM의 상호 작용 변환의 구현을 위해서 TMN/CORBA 게이트웨이 또한 고안되었다. 그리고 이러한 기능의 확장을 위해서 모듈 형식으로 라이브러리들과 코드 생성기들이 설계, 구현되었다.Abstract Up to now, a lot of efforts have been made for the management of telecommunication networks and equipment, but less effort has been made for the realization of higher-layer service and business management. There are recently worldwide growing interests for applying CORBA technology for the realization of higher layer Telecommunication Management Network (TMN) management functions. In this paper, we compare the features of TMN and CORBA with respect to information model, and operational behavior. And then, we propose a platform architecture for the efficient integration of CORBA technology within TMN framework. Within platform architecture, GDMO/ASN.1 to IDL translator has been designed and implemented for translating TMN management information into CORBA IDL interface. The TMN/CORBA gateway is also designed for realization of the interaction translation specification of JIDM task force. The libraries and code generators have been designed and implemented in a modular fashion to provide the functional extensibility.

• Bulletin of the Society of Naval Architects of Korea
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• v.11 no.1
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• pp.27-34
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• 1974

This study is aimed at a validation of the vigilance simulation model which was proposed earlier (2). The model estimates a perceived danger value, an alertness level and the probability of detection at a given elapsed time of vigilance. Twenty-nine male and seven female subjects were given a simple task. They were asked to detect a number(four numbers out of six digits in the telephone directory which have the probability of occurrence in the range of 0.0010-0.0018) in six different experimental conditions, for periods of two to three hours. Analysis of the experiments showed that although the mean detection rate varied slightly in two hours, the within-subject variance and the number of cyclic performance fluctuations increased significantly. A primal factor that affects the performance seems to be the frequency of target occurrence. By curve fitting, the relation between the probability of detection and the percentages of danger event occurrence was derived; $y=0.50(1-{\varepsilon}^{-50x^2})+0.39$. Assuming the equation represents the normal detection rate(100% performance), the Relative Vigilance Performance Rating was calculated. This rating method could be a useful criterion in selecting and training of the vigilance personnel. The results show that the simulation model is a good estimator of human a performance when the probability of danger occurrence is greater than 0.0015; it gives a good reference for improving the vigilance system. Suggestions are made that (1) the validity of proposed functional equations over the extended range of danger probability be studied, (2) an analysis of the cyclic fluctuations of the alertness level be accomplished, and (3) the cost functions of detection reliability be included in any future model.

• Journal of Korean Society of Archives and Records Management
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• v.7 no.2
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• pp.73-94
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• 2007

Archival organizations have been evolving to varying users' needs. The main functional focus of earlier archival organizations has inclined to collection and preservation of data, but their current interests expand to utilization of the data collected. Therefore, today's archival organizations endeavor to procure user-oriented archival information service. This study highlights the programs initiated in last two years by 'Service Innovation Team', a special task force of National Archives of Korea organized in 2005, and presents comparative analysis of those programs with respect to the existing archival systems of National Archives and Records Administration of USA and The National Archives in UK. Additionally, the study, while emphasizing the importance of enlarging and diversifying service programs as well as promoting public awareness over archive resources, introduces the service standards of advanced nations as benchmarks for future archival service policies of pertinent organizations.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.36-44
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• 2021

Estimation on SW Sizing applied to fintech is very difficult, a task requiring long time, it is difficult for client companies and developer companies to accurately calculate the size of software development. The size is generally estimated based on the experience of project managers and the general functional scoring method. In this paper, propose a model that can be applied to fintech development projects by quantitatively calculating the required functions from the user's point of view, measuring the scale, and calculating the scale in real time. Through the proposed model, the amount of work can be estimated prior to development and the size can be measured, and the M/M and the estimated quotation amount can be calculated based on the program list by each layer. In future studies, by securing size computation data on existing the Fintech Project in mass, research on accurate size computation would be required.

• The Korean Journal of Archival Studies
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• no.58
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• pp.299-332
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• 2018

The purpose of this study is to investigate the current status and causes of misclassification of school records and to suggest the directions to improve the School Records Management Criteria Table(general disposition authority for school records), which will lead to misclassification reducement. This study begins with analysing the records created or received in four schools sampled for one year to investigate the status and causes of misclassifications. A advisory group including four administrative officers and seven records managers was formed and group meeting was held twice to identify the causes of the misclassification and to suggest alternatives. In this study, 33 unit tasks(transactions) with frequent misclassification were identified, and the cause of misclassification was analyzed based on focus group interviews. The main causes of misclassification were categorized into two types. This study concludes with suggesting the improvement of the School Records Management Criteria Table for addressing the causes, including commentary reinforcement and the addition of workflow to complex tasks.

• Journal of the HCI Society of Korea
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• v.14 no.2
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• pp.61-69
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• 2019

Recently, as a new ICT trend, emerging chatbots are actively introduced in the field of finance. Chatbot conducts services through the interaction of communication with users. The purpose of this study is to investigate the effect of interaction dialogue type on the efficiency, usability, sensibility and perceived security of financial service chatbot. Based on theoretical considerations, I have divided into closed conversation, open conversation, and mixed conversation type based on the conversation style based on the implementation method of chatbot. Three types of Financial Chatbot prototypes were made and the experiments were conducted after account inquiry, account transfer, Q & A financial task execution. As a result of experimental research analysis, chatbot's interaction dialogue type was found to affect efficiency and usability. Users have shown that the interaction of closed conversations and mixed conversations is an intuitive interface that allows financial services to be easily manipulated without error. This study will be used as a resource to improve the user experience that requires deep understanding of financial chatbot users who should consider both the emotional element of artificial intelligence that provides services through natural conversation and the functional elements that perform financial business can be.

• PNF and Movement
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• v.12 no.4
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• pp.209-215
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• 2014

Purpose: This study aims to understand the effect of balance training on ankle muscle activity and static balance in stroke patients. Methods: The subjects were composed of 12 patients who were admitted with chronic stroke in H, K, and R hospitals located in Gangwon-do from August to October 2014. This study conducted balance training on the subjects for 20 min a session, twice a day, five times a week for six weeks. This study measured the surface electromyogram (EMG) of the paretic side's tibialis anterior and medial gastrocnemius for muscle activity. Static balance was measured as a TETRAX stability index. The measurements were conducted before the experiment and six weeks after. The result was statistically analyzed using paired t-test at the significance level of 0.05. Result: Muscle activity of the paretic side's tibialis anterior and medial gastrocnemius did not show a significant difference in the comparison between pre- and post-balancing training. However, the stability index showed a significant difference (p<0.05) between standing with eyes open (NO) and standing on a sponge with eyes open (PO). Conclusion: Although balance training did not affect the muscle activity of chronic stroke patients, it had an effective influence on the stability index. That is, balance training was effective at the functional level, but it did not change the structure level in terms of the ICF evaluation standard. Balance training becomes more effective when it is applied in relation to task.

• International journal of advanced smart convergence
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• v.10 no.1
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• pp.1-11
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• 2021

Document page segmentation is an important step in building a quality optical character recognition module. The study examined already existing work on the topic of page segmentation and focused on the development of a segmentation model that has greater functional significance for application in an organization, as well as broad capabilities for managing the quality of the model. The main problems of document segmentation were highlighted, which include a complex background of intersecting objects. As classes for detection, not only classic text, table and figure were selected, but also additional types, such as signature, logo and table without borders (or with partially missing borders). This made it possible to pose a non-trivial task of detecting non-standard document elements. The authors compared existing neural network architectures for object detection based on published research data. The most suitable architecture was RetinaNet. To ensure the possibility of quality control of the model, a method based on neural network modeling using the RetinaNet architecture is proposed. During the study, several models were built, the quality of which was assessed on the test sample using the Mean average Precision metric. The best result among the constructed algorithms was shown by a model that includes four neural networks: the focus of the first neural network on detecting tables and tables without borders, the second - seals and signatures, the third - pictures and logos, and the fourth - text. As a result of the analysis, it was revealed that the approach based on four neural networks showed the best results in accordance with the objectives of the study on the test sample in the context of most classes of detection. The method proposed in the article can be used to recognize other objects. A promising direction in which the analysis can be continued is the segmentation of tables; the areas of the table that differ in function will act as classes: heading, cell with a name, cell with data, empty cell.