• Physical Therapy Korea
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• v.14 no.3
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• pp.97-106
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• 2007

The purpose of this study was to determine reliability and validity of the Neck Disability Index (NDI) now in use for the first time in neck pain patients of Korea. Fifty subjects (26 males and24 female) with neck pain enrolled in the study. They completed a standardized self-administered questionnaire that include pain intensity, personal care, lifting, reading, headaches, concentration, work, driving, sleeping and recreation. Reliability was determined by intra-class correlation coefficient (ICC) and Cronbach's alpha by internal consistency. Validity was examined by correlating the NDI scores to the Visual Analog Scale (VAS) score. The Test-retest reliability of the translated versions of the NDI was good ICC (2,1) = .90 (95%CI .85 .95). Cronbach's alpha value for NDI was found to be .95 and this was statistically significant (p<.05). The criterion-related validity coefficients was .72 (p<.01). We conclude that the Korean version of NDI has shown to be a reliable and valid instrument for the assessment of neck pain.

• The Korean Journal of Applied Statistics
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• v.30 no.1
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• pp.41-55
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• 2017

This study predicts the average scores of top 150 PGA golf players on 132 PGA Tour tournaments (2013-2015) using data mining techniques and statistical analysis. This study also aims to predict the Top 10 and Top 25 best players in 4 different playoffs. Linear and nonlinear regression methods were used to predict average scores. Stepwise regression, all best subset, LASSO, ridge regression and principal component regression were used for the linear regression method. Tree, bagging, gradient boosting, neural network, random forests and KNN were used for nonlinear regression method. We found that the average score increases as fairway firmness or green height or average maximum wind speed increases. We also found that the average score decreases as the number of one-putts or scrambling variable or longest driving distance increases. All 11 different models have low prediction error when predicting the average scores of PGA Tournaments in 2015 which is not included in the training set. However, the performances of Bagging and Random Forest models are the best among all models and these two models have the highest prediction accuracy when predicting the Top 10 and Top 25 best players in 4 different playoffs.

• Journal of Preventive Medicine and Public Health
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• v.21 no.1 s.23
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• pp.99-112
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• 1988

Questionnaires and blood pressure measurements were administered to 279 medical school undergraduates in 1987 to investigate the relationship between psychosocial factors and blood pressure as well as reliability and validity of the Framingham Type A Behavior Scale(FTA). The reliability coefficients of SCL-90-R and nh measured by Spearman-Brown haves split test were $0.57{\sim}0.91$. The factors of FTA extracted by principal component analysis were hard-driving competitiveness factor and impatience factor(2-factor solution) . The total score of nh was positively correlated with relative weight and place raised but the correlations were insignificant, and had significantly positive but weak correlations with depression, anxiety, hostility, paranoid, and psychoticism subscales of SCL-90-R. In the univariate analysis of blood pressures, relative weight and family history were significant in systolic pressure in males and economic status was significant in blood pressures in both sexes. For diastolic pressure, relative weight and frequency of alcohol intake were significant in males and relative weight was in females. After controlling relative weight, the frequency of alcohol intake for diastolic pressure and economic status for systolic pressure were significant in males. The important variables selected by stepwise regression analysis were relative weight and economic status for systolic pressure of males and relative weight and the frequency of alcohol intake for diastolic pressure. At the level of alpha 0.1, depression subscale was added to the model, changing coefficient of determination 0.206 to 0.217. In females, economic status and relative weight were selected for systolic pressure and for diastolic pressure body mass index alone, but the model of blood pressure for females was considered to be unstable due to small sample size(56). FTA was unrelated to the blood pressures in both sexes.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.615-620
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• 2018

Evaluation of clinical usefulness of current perception threshold test and vibration sense perception threshold test in diagnosing the diabetic poly-neuropathy patients is one of the diagnosis methods for diabetic poly-neuropathy. Up to the present, some diagnostic methods were used for diabetic poly neuropathy patients. For example, there are neuropathy impairment score test of lower limbs, nerve conduction test, cooling detection threshold test, heat-pain threshold test and so on. However, most of the above tests require very expensive cost and take a lot of time in test. In this paper, a new apparatus estimating vibration sense ability is introduced. For this purpose, the VCM(voice coil motor) stimulating patient's peripheral nerve and current amplifier were manufactured. Also, softwares sensing and driving the vibration detection threshold test in order to measure the quantitative vibration sensory levels in diabetic poly-neuropathy patients were developed.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.18 no.6
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• pp.73-83
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• 2015

The objective of this study is to establish implications for forest restoration planning in North Korea by analyzing spatio-temporal forest changes and detecting bio-physical factors driving forest degraded. We measured the relationship and spatial distribution between shifting cultivation and sparse forest. We also analyzed between degraded forest land and ecological variables by binary logistic regression to find biophysical drivers of forest degradation and deforestation in North Korea. Between the sparse forest and the shifting cultivation, a positive relationship is found (r=0.91) and scattered discontinuously throughout the country (Moran's I = -1, Z score = -13.46 (p=0.000)). The sparse forest showed a negative relationship with the warmest month(bio 9), the coldest month(bio10), and the minimum of soil water contents (swc_min), while the shifting cultivation had a negative relationship with the warmest month(bio 9) and the minimum of soil water contents(swc_min). However, the most critical drivers convert forests into sloping farmland were the three months rainfall in summer(bio8) and the yearly mean of soil water contents. Such results reflect the growth period of crops which overlaps with the rainy season in North Korea and the recent land reclamation of uplands where the soil water contents are maintained with a dense forest. When South Korea aids forest restoration projects in North Korea, in consideration of food shortage due to North Korea's cropland deficiency, terrace farmlands where soil water contents can be maintained should be excluded from the priority restoration area. In addition, an evaluation method for selecting a potential restoration area must be modified and applied based on multiple criteria including altitude and socio-economic factors in the respective regions.

• The Journal of the Korea Contents Association
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• v.10 no.9
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• pp.448-454
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• 2010

This study targeted adult golf-exercise participants and the purpose of this study was analyzing the effect of exercise-addiction among the participation rate factor in golf-exercise participants. To achieve the purpose of this study, the researcher chose 500 golf-exercise participants located in the D city area, who golf at indoor and outdoor driving ranges. A total of 456 questionnaires were used for the final study and each questionnaire consisted of questions including demographic variables. By using SPSS/PC+ Win 15.0 program, the primary data analysis were frequently analyzed to find out general aspects of golfers, exploratory cause analysis verifies the reliability and validity of the preliminary and factor analysis, ANCOVA. Through this research method and procedure, the following conclusion was drawn. First, depending on the frequency of participants in a round of golf exercise addiction is a difference. Second, golf participants' average score is the difference between the exercise addiction.

• Journal of the Korean Society of Physical Medicine
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• v.13 no.1
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• pp.49-62
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• 2018

PURPOSE: This study investigated the influence of a specific hip joint exercise program on the characteristics of chronic low back pain (LBP), hip joint range of motion (ROM), and performance level in amateur golfers with LBP. METHODS: The study included 28 adult male amateur golfers with LBP and reduced internal rotation (IR) of the lead side hip joint. Subjects were randomly assigned to an experimental (EG) (n=14) or control group (CG) (n=14). The Numerical Rating Scale score for pain, ROM of the hip joint and trunk rotation, performance parameters for golfing were evaluated. A specific exercise program designed to improve IR of the lead side hip joint was performed by the EG, but not the CG. Post-intervention evaluation was performed and the collected data were analyzed. RESULTS: After the intervention, the severity of LBP was significantly reduced (p<.05) and the IR ROM of the lead side hip joint was significantly increased (p<.01) in the EG. Moreover, the trunk rotation range was significantly increased in the EG (p<.01). The drive distance was significantly difference between the EG and CG (p<.05). CONCLUSION: A specific hip joint exercise program can help to reduce pain level and improve performance level in amateur golfers with LBP and increased IR ROM of the lead side hip joint. A significant increase in ROM of the lead side hip joint reduce LBP and was related to driving distance in the EG.

• Journal of Institute of Control, Robotics and Systems
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• v.13 no.8
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• pp.726-734
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• 2007

Generally, a mobile robot is moved by original input programs. However, it is very hard for a non-expert to change the program generating the moving path of a mobile robot, because he doesn't know almost the teaching command and operating method for driving the robot. Therefore, the teaching method with speech command for a handicapped person without hands or a non-expert without an expert knowledge to generate the path is required gradually. In this study, for easily teaching the moving path of the autonomous mobile robot, the autonomous mobile robot with the function of speech recognition is developed. The use of human voice as the teaching method provides more convenient user-interface for mobile robot. To implement the teaching function, the designed robot system is composed of three separated control modules, which are speech preprocessing module, DC servo motor control module, and main control module. In this study, we design and implement a speaker dependent isolated word recognition system for creating moving path of an autonomous mobile robot in the unknown environment. The system uses word-level Hidden Markov Models(HMM) for designated command vocabularies to control a mobile robot, and it has postprocessing by neural network according to the condition based on confidence score. As the spectral analysis method, we use a filter-bank analysis model to extract of features of the voice. The proposed word recognition system is tested using 33 Korean words for control of the mobile robot navigation, and we also evaluate the performance of navigation of a mobile robot using only voice command.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.13-20
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• 2022

It's proposed and analyzed ML(Machine Learning) models to predict vehicle FC(Fuel Consumption) in real-time. The test driving was done for a car to measure vehicle speed, acceleration, road gradient and FC for training dataset. The various ML models were trained with feature data of speed, acceleration and road-gradient for target FC. There are two kind of ML models and one is regression type of linear regression and k-nearest neighbors regression and the other is classification type of k-nearest neighbors classifier, logistic regression, decision tree, random forest and gradient boosting in the study. The prediction accuracy is low in range of 0.5 ~ 0.6 for real-time FC and the classification type is more accurate than the regression ones. The prediction error for total FC has very low value of about 0.2 ~ 2.0% and regression models are more accurate than classification ones. It's for the coefficient of determination (R²) of accuracy score distributing predicted values along mean of targets as the coefficient decreases. Therefore regression models are good for total FC and classification ones are proper for real-time FC prediction.

• Journal of Korean Orthopaedic Sports Medicine
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• v.11 no.1
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• pp.51-56
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• 2012

Purpose: Golf is a popular sports activity after total knee arthroplasty in old age patients. We evaluated golf and implant loosening through the radiologic method. We also evaluated correlation of patterns of golf activity and clinical outcome to suggest guidelines to the patients. Materials and Methods: We carried out a retrospective case-control study of 80 patients (80 knees) who underwent TKR between 2005 and 2008, and followed up more than 3 years. We divided patients who played golf after TKR as a study group and who did not participate sports activities as a control group. We calculated the sum of width of radiolucent line in 7 sections around femoral component, 7 sections around tibial components and 5 sections in patella component using American Knee Society Roentgenographic Evaluation and Scoring system respectively. The inclusion criteria, was BMI (body mass index) was between 25 and $30kg/m^2$, and UCLA activity-level rating System score was between 5 and 8. We also got the information of patients' patterns of golf activities such as 1. the interval from surgery to return to golf activity. 2. the frequency of golf activities 3. using spike or cart. We obtained the information from patient's questionnaire and telephone interview. We compared with the VAS (visual analogue scale) respectively. And handicaps and driving distance was evaluated as well. Results: The study group's mean sum of radiologic score was 0.84 mm and 0.69 mm in control group. This is not statistically significant (p=0.22). Too early returning to golf (p=0.01) and left knee replacement (p<0.01) were statistically significant factors affecting clinical outcomes of golf activities after total knee arthroplasty. Conclusion: We concluded that golf activities after total knee arthroplasty is not correlated with radiographic loosening, and we need to give an explanation to the patients about increased pain when returing to golf too early and left side arthroplasties.