• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.480-488
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• 2010

The aim of this study were to examine the effects of virtual reality program on balance and activities of daily living in children with spastic cerebral palsy (CP) using the Pediatric Balance Scale (PBS) and the Functional Independence Measure for Children (WeeFIM), and to measure relationship between the PBS and the WeeFIM. For this, A total of 20 spastic CP classified as the Gross Motor Function Classification System (GMFCS) I and II were employed. The Participant's were allocated randomly to 2 groups: a virtual reality group (n=10) and the control group (n=10). Both groups received muscle strengthening exercise for 3 sessions, 30 minutes per week over a 12 week period. The virtual reality group practiced additional virtual reality program. The virtual reality group showed significant increases in balance (p<0.05) and activities of daily living (p<0.05). There were a significant correlation between the PBS and the WeeFIM (p<0.05). Application of the virtual reality program to treat the spastic CP will be feasible and suitable. And the PBS was a useful tool to predict activities of daily living in the spastic CP.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.274-281
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• 2020

N-gram analysis casts a new look at the n-word cluster in use different from the previously known idioms. It analyzes a corpus of English textbooks for frequently occurring n consecutive words mechanically using a concordance software, which is different from the previously known idioms. The current paper aims at extracting and comparing 4-gram words clusters between South Korean high school English textbooks and its North Korean counterpart. The classification criteria includes number of tokens and types between the two across oral and written languages in the textbooks. The criteria also use the grammatical categories and functional categories to classify and compare the 4-gram words clusters. The grammatical categories include noun phrases, verb phrases, prepositional phrases, partial clauses and others. The functional categories include deictic function, text organizers, stance and others. The findings are: South Korean high school English textbook contains more tokens and types in both oral and written languages. Verb phrase and partial clause 4-grams are grammatically most frequently encountered categories across both South and North Korean high school English textbooks. Stance is most dominant functional category in both South and North Korean English textbooks.

• Journal of Distribution Science
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• v.12 no.11
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• pp.77-83
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• 2014

Purpose - The National Agricultural Cooperative Federation of Korea and National Fisheries Cooperative Federation of Korea have prosecuted both financial and retail businesses. As cooperatives are public institutions and receive government support, their sound management is required by the Financial Supervisory Service in Korea. This is mainly managed by CAEL, which is changed by CAMEL. However, NFFC's business section, managing the finance and retail businesses, is unified and evaluated; the CAEL model has an insufficient classification to evaluate the retail industry. First, there is discrimination power as regards CAEL. Although the retail business sector union can receive a higher rating on a CAEL model, defaults have often been reported. Therefore, a default prediction model is needed to support a CAEL model. As we have the default prediction model using a subdivision of indexes and statistical methods, it can be useful to have a prevention function through the estimation of the retail sector's default probability. Second, separating the difference between the finance and retail business sectors is necessary. Their businesses have different characteristics. Based on various management indexes that have been systematically managed by the National Fisheries Cooperative Federation of Korea, our model predicts retail default, and is better than the CAEL model in its failure prediction because it has various discriminative financial ratios reflecting the retail industry situation. Research design, data, and methodology - The model to predict retail default was presented using logistic analysis. To develop the predictive model, we use the retail financial statements of the NFCF. We consider 93 unions each year from 2006 to 2012 to select confident management indexes. We also adapted the statistical power analysis that is a t-test, logit analysis, AR (accuracy ratio), and AUROC (Area Under Receiver Operating Characteristic) analysis. Finally, through the multivariate logistic model, we show that it is excellent in its discrimination power and higher in its hit ratio for default prediction. We also evaluate its usefulness. Results - The statistical power analysis using the AR (AUROC) method on the short term model shows that the logistic model has excellent discrimination power, with 84.6%. Further, it is higher in its hit ratio for failure (prediction) of total model, at 94%, indicating that it is temporally stable and useful for evaluating the management status of retail institutions. Conclusions - This model is useful for evaluating the management status of retail union institutions. First, subdividing CAEL evaluation is required. The existing CAEL evaluation is underdeveloped, and discrimination power falls. Second, efforts to develop a varied and rational management index are continuously required. An index reflecting retail industry characteristics needs to be developed. However, extending this study will need the following. First, it will require a complementary default model reflecting size differences. Second, in the case of small and medium retail, it will need non-financial information. Therefore, it will be a hybrid default model reflecting financial and non-financial information.

• Journal of Korean Neurosurgical Society
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• v.42 no.2
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• pp.77-82
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• 2007

Objective : The authors tried to reveal some unique features of lipomeningomyelocele (LMMC), including clinical presentation, factors precipitating onset of symptoms, pathologic entities of LMMC associated with tethered cord syndrome, and surgical outcome in LMMC patients. Methods : Seventy-five patients with LMMC were enrolled in this study. Neuro-imaging and intraoperative findings allowed classification of LMMC into three Types. The patients were divided into two groups by age : A (51 patients), from birth to 3 years, and B (24 patients), from 3 to 24 years. For prevention of retethering of the cord, a mega-dural sac rebuilding procedure was performed in 15 patients. Results : During a mean postoperative follow-up period of 4 years, the surgical outcome was satisfactory in terms of improved pain and motor weakness, but disappointing with reference to the resolution of bowel and bladder dysfunction. Among these 75 patients with LMMC, preoperative deficits were improved after surgery in 29 (39%), remained stable in 28 (37%), changed slightly in 13 (17%), and worsened in 5 (7%). Patients in group A achieved better outcomes than those in group B. Depending on the type of lesion, patients with types I and II LMMC have better outcomes than those with type III LMMC. Finally, retethering of the cord with neurological deterioration occurred in 4 (5.3%) of the 75 patients, but no retethering was found in the 15 patients who were recently treated with a mega-dural sac rebuilding procedure. Conclusion : Our data continue to support the opinion that early diagnosis and optimal surgery are still essential for the treatment of patients with LMMC, since there is a high likelihood of residual neurological functions that can be preserved. Based on our surgical experience of untethering and decompression of lipomas, a mega-dural sac repair is useful to prevent retethering of the cord.

• The Korean Journal of Pesticide Science
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• v.9 no.2
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• pp.140-145
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• 2005

Quantitative Structure Activity Relationship (QSAR) assumes the relatedness between physical property and biological activity. However, activity data measured at single concentration such as percent activity have not been used extensively for modeling purpose. This probably comes from the fact that these values are qualitative instead of quantitative. To utilize percent activity data for molecular modeling, we classified the whole data into two classes. One class represents the active while the other signifies the inactive. The percent activity data of ${\beta}$-Ketoacetoanilides measured for TLB (Tomato Late Blight) were investigated. CoMFA (Comparative Molecular Field Analysis) was used as a discriminant function. Using CoMFA provides 3D (three dimensional) information, which is crucial for chemical insight. It can also serve as a predictive model. The resultant model classified the given data correctly (98%). When LOO (leave-one-out) crossvalidation procedure was applied, the classification accuracy was 69%. Therefore two class approximation of percent activity data with CoMFA can be utilized to understand the relationship between chemical structure and biological activity and design subsequent chemical analogs.

• Journal of Navigation and Port Research
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• v.41 no.3
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• pp.109-118
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• 2017

The key word (KW) is a set of words to clearly express the important causations of marine accidents; they are determined by a judge in a Korean maritime safety tribunal. The selection of KW currently has two main issues: one is maintaining consistency due to the different subjective opinion of each judge, and the second is the large number of KW currently in use. To overcome the issues, the systematic framework used to construct KW's needs to be optimized with a minimal number of KW's being derived from a set of Common Words (CW). The purpose of this study is to identify a set of CW to develop the systematic KW construction frame. To fulfill the purpose, the word reduction method to find minimum number of CW is proposed using P areto distribution function and Pareto index. A total of 2,642 KW were compiled and 56 baseline CW were identified in the data sets. These CW, along with their frequency of use across all KW, are reported. Through the word reduction experiments, an average reduction rate of 58.5% was obtained. The estimated CW according to the reduction rates was verified using the Pareto chart. Through this analysis, the development of a systematic KW construction frame is expected to be possible.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.468-469
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• 2018

We design CNN(convolutional neural network) which is applicable to steering control system of autonomous vehicle. CNN has been widely used in many fields, especially in image classifications. But CNN has not been applied much to the regression problem such as function approximation. This is because the input of CNN has a multidimensional data structure such as image data, which makes it is not applicable to general control systems. Recently, autonomous vehicles have been actively studied, and many techniques are required to implement autonomous vehicles. For this purpose, many researches have been studied to detect the lane by using the image through the black box mounted on the vehicle, and to get the vanishing point according to the detected lane for control the autonomous vehicle. However, in detecting the vanishing point, it is difficult to detect the vanishing point with stability due to various factors such as the external environment of the image, disappearance of the instant lane and detection of the opposite lane. In this study, we apply CNN for steering control of an autonomous vehicle using a black box image of a car.

• The Korean Journal of Zoology
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• v.32 no.3
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• pp.242-251
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• 1989

Morphometric and genetic analyses on six populations of the two subspecies of Cobitis koreensis were performed to investigate the geographic variation and to clarify their taxonomic status. No significant differences between subspecies were found. Puan population of C. k. pumilus tends to be smaller in numbers of cross bars and dorsal spots, than those of C. k. koreensis populations with no statistical significance. Average degree of genic variation among six populations of the two subspecies was A=1.5, P =37.3%, HD=0.053, and HG=0.097. Marginal populations of Samchog (C. k. koreensis) and Puan(C. k. pumilus) were least variable: A= 1.3, P=23.8%, HD=0.0l0, HG=0.043, and A= 1.2, P=19.0%, HD=0.029, HG=0.078 respectively.The difference between HD and HG in all populations may indicate a patchness distribution between demes within each population. Genetic similarities between the two subspecies were, on the average, S=0.894, and this value correspond to the average genetic similarities among five populations of C. k. koreensis (5=0.899). Chongup population of C. k. koreensis and Puan population of C. k. pumilus was most similar genetically (5 =0.931). The results of morphometric and genetic analysis in this study indicate that C. k. pumilus is not a valid subspecies and should be considered as a population of C. koreensis.

• The Journal of Society for e-Business Studies
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• v.20 no.2
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• pp.107-123
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• 2015

Internet of Things (IoT) is being globally spotlighted as a fundamental technology to realize hyper-connected society, and as new growth engines of nation and enterprises. Although the technical aspect of IoT receives a great deal of attention as a new business opportunity, the business aspect of IoT is suffering insufficient scholarly research and objective insight. Thus, the business aspect of IoT requires a thorough research on its service market and business opportunities. In order to stimulate the IoT service market and facilitate objective statistic data aggregation, this paper aims to suggest an IoT service categorization model. This model is comprised of three perspectives which are IoT purpose, IoT Player, and IoT Domain; they function as tools to comprehensively analyze the IoT industry. Efficacy of this model has been confirmed by simulating 117 IoT services on the model, in which the results successfully offered the market trend of the IoT service based on Case. This study is able to apply for basic research of IoT-Service Development Plan, and provide practical implications.

• Korean Journal of Construction Engineering and Management
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• v.16 no.5
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• pp.65-76
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• 2015

FEED (Front End Engineering and Design) is the key area that determines the competitiveness of procurement and construction in the EPC contracts especially in terms of the added value. Nevertheless, previous researches in FEED have been limited to the process and deliverable of design work or the particular management business function (e.g. System Engineering, collaboration, information etc.). In this context, the purpose of this study is to propose a comprehensive FEED structure and its functions from the project management perspective throughout the whole project life-cycle for thermal power plants. Proposed FEED business procedures are classified into three levels; First level is the classification of FEED business phases, the second level defines major FEED management functions, and the third level is detailed FEED functions. A survey using proposed FEED functions and assessment variable was conducted in order to analyze the current status and the areas for future improvement. It is expected that the proposed structure, functions, and evaluation methodology for FEED management will contribute to effective practice of FEED as well as to improvement of competitive capability for engineering, procurement, and construction (EPC) companies.