• Journal of the Korean association of regional geographers
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• v.2 no.2
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• pp.159-171
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• 1996

The aim of this study is which factors affect the commercial land values and how they act upon them through distribution of commercial land values by multiple regression analysis in Gwangju city. The major findings of this study are as follows: (1) The changes of commercial land values distribution in $1989{\sim}1996$, We see that the commercial area of higher land values extends following the main arterial road. This is related to urbanization in urban fringe while the decline of commercial land values occurs in city center with long history of commercial region. This is due to unsuitableness in rapid changes of commercial environment because of fragmented lots, old buildings. traffic congestion etc. (2) The regions where commercial land values greatly rose are the west in constructed the new planning city center of Sangmu-dong. and the south west in which is related to the extension of high density apartment and the location of big discount stores. (3) Through the changes in commercial land values distribution map. and road map, topographical map, we know that commercial land values is related to various factors; namely, distance from CBD, convenient traffic, reputation of commercial district, condition of a road, size of supplementary, a degree of commercial land use etc. (4) From the above related factor, six variables are extracted by operational definition. That is the spatial distance from the city center, the walking distance to a stopping place, the road width, the amount of bus traffic, the amount of pedestrian, the number of the shop. (5) Data of seven variables are collected on the highest values point of each Dong. We applicate multiple regression analysis with commercial land values as a dependent variable, extracted six variables as independent variables. (6) As a result of multiple regression on the determinants of commercial land values, the variables which is greatly related to commercial land values are the amount of pedestrain, the spatial distance from city center. We identify that two variables explain variance of the commercial land values by 65%. (7) In order to make clear about not explained 35%. we carry out analysis of residual. In consequence, we see small estimate in downtown area and large estimate in urban fringe. This feature is due to simple core structure of Gwangju city and limits of this regression model.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.14 no.2
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• pp.1-15
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• 2008

Purpose : This survey was to investigate on the effect of each region changed in trunk through sagittal plane after Trunk Flexion-Extension Exercise. Methods : 18 students of Gimcheon College participated in this study for the period of July 9-30, 2007. Analyzed factor were 1) degree of pain 2) presence of Gillet test and 3) difference of right-left for 7 landmark region in trunk applying I.B.S.-2000 after Trunk Flexion - Extension Exercise. We used the SPSS $PC^+$ program for classifying into analysis of frequency, $x^2$-test, t-test and Simple Linear Regression analysis test. Results: Followings are concluded For degree of pain, 13(72.2%) of students answered "No pain" after Trunk Flexion-Extension Exercise and in the result 4 more students decreased the pain. In the Gillet test, 14(77.8%) of students answered "positive" after Trunk Flexion-Extension Exercise and in the result 4 more students increased mobility of Sacroiliac joint. In the differences of right-left for 7 landmark region in trunk by B.M.I. scale, Slim type was decreased both Acromion(0.45mm), both Iliac crest(0.44mm), and both ASIS(0.31mm) to anterior plane, Normal type was decreased both inferior angle of Scapular(0.02mm), both L4-5(0.07mm), and both PSIS(0.09mm) to posterior plane Fatness type was decrease both Acromion(0.05mm), both ASIS(0.05mm) to anterior plane. In the differences of right-left for 7 landmark region in trunk for degree of pain No pain group was decreased both Acromion(0.17mm), both Nipple(0.25mm) to anterior plane and both PSIS(0.13mm) to posterior plane Pain group was decreased both Acromion(0.04mm), both Iliac creast(0.03mm) to anterior plane and both inferior angle of Scapular(0.18mm) both PSIS(0.13mm) to posterior plane. In the difference of right-left for 7 landmark region in trunk for each of the exercises, Both iliac crest(0.1mm), both ASIS(0.12mm) to anterior plane were decreased after Flexion Trunk Exercise. Both acromion(0.27mm) to anterior plane, both inferior angle of scapular(0.14mm) and both PSIS(0.12mm) to posterior plane were decreased after Extension Trunk Exercise. Each of the exercises, The both inferior angle of Scapular showed high scores($0.65{\pm}0.23$) at Trunk Extension Exercise group and there was statistical significance between Trunk Flexion Exercise group and Extension exercise group(t :-2.502, p < 0.05). 7. At Pre-exercise group, Both inferior angle of Scapular showed low scores($0.23{\pm}8.27$) at Trunk Extension Exercise group and there was statistical significance between Pre- Exercise group and Trunk Extension Exercise group(t :-2.5430, p<0.05). Conclusion : The simple linear regression analysis was presented at Acromion(-0.243), L4-5(-0.753), PSIS(0.576) and there was statistical significance in BMI scale(p<0.01).

• Journal of the Korean Applied Science and Technology
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• v.37 no.3
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• pp.509-515
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• 2020

The purpose of this study was to analyze the correlation between passive ankle movement range and knee joint kinetic variables during squat movement. In this study, a total of 27 subjects participated in this study, 19 men and 8 women, who had no history of the musculoskeletal system of the lower extremity. To verify the correlation between the ankle joint flexibility and the knee joint kinetic variables during deep squat, it was performed pearson's correlation coefficient and variables showing statistically significant correlation were performed by simple regression analysis at a significant level of α .05. Through this study, the relationship between the peak joint moment and joint reaction force factors that determine ankle joint flexibility and knee joint pressure was confirmed. Therefore, when applying an exercise that can generate a lot of load on the knee joint such as deep squats during strength training, checking the degree of flexibility of the ankle joint among physical characteristics to the individual may reduce the stability of the body and the risk of injury to the knee joint. It is expected to be helpful in setting the intensity of exercise that can be done.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.349-356
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• 2021

Since the 1960s, traffic infrastructure, such as bridges, has increased rapidly in Korea as urbanization and industrialization progressed due to economic growth. As the scale of the bridge becomes larger, stability analysis of the superstructure of the bridge is being conducted actively, but scour stability analysis for the substructure of the bridge has not been conducted sufficiently. This study is a basic investigation to prevent large-scale disasters caused by scouring in bridge piers. A simple linear regression model was used to analyze the scour depth calculated through seventeen scour depth calculation formulae, and the scour depth measured through hydraulic model experiments. As a result, the Coleman (1971) formula was the best method among the scour depth calculation formulae, and the Froehlich (1987) formula was the most effective method for calculating the scour depth. In addition, a review using a simple regression model confirmed that the scour depth calculation formulae of CSU (1993), Coleman (1971), and Froehlich (1987) can predict a similar scour depth by reflecting domestic stream characteristics. This study can calculate the scour depth reflecting the environmental conditions of Korea in future stream design.

• Journal of Preventive Medicine and Public Health
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• v.27 no.3 s.47
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• pp.487-504
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• 1994

A cross-sectional study was performed to evaluate the effects of chronic low-dose solvent on neurobehavioral performance of 118 male car painters. A control group of 113 workers matched for age was selected from different sections of the factory. The mean age and the mean duration of employment were 33 years and 6.7 years in both groups. Mean years of education were 11.4 years in car painters and 11.8 years in controls. Each worker completed a medical and occupational questionnaire and four tests of Swedish performance evaluation system. These included simple reaction time, symbol digit, digit span and finger tapping speed. Althougth the mean duration of employment was 6.7 years, comparison of mean performance showed a significantly poorer performance on simple reaction time (p<0.05), symbol digit(p<0.01) and digit span(p<0.05) in car painters. In univariate analysis, age and educational level contributed to poorer performance on symbol digit and digit span. Smoking appeared to slow finger tapping speed in car painters. Performance of four tests of car painters exposed to high level of solvent was poorer than that of car painters exposed to low level. In multiple regression models, controlling for age, alcohol, smoking and shift work, solvent exposure was found to be associated with performance of simple reaction time, symbol digit and digit span and exposure to high level of solvent was related to poorer performance of symbol digit and digit span.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.2
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• pp.284-294
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• 2018

Statistical methods have been widely used to estimate the remaining battery runtime of mobile smart devices, such as smart phones, smart gears, tablets, and etc. However, existing work available in the literature only considers a particular statistical method. Thus, it is difficult to determine whether statistical methods are applicable to estimating thr remaining battery runtime of mobile devices or not. In this paper, we evaluated the performance of statistical methods applicable to estimating the remaining battery runtime of mobile smart devices. The statistical estimation methods evaluated in this paper are as follows: simple and moving average, linear regression, multivariate adaptive regression splines, auto regressive, polynomial curve fitting, and double and triple exponential smoothing methods. Research results presented in this paper give valuable data of insight to IT engineers who are willing to deploy statistical methods on estimating the remaining battery runtime of mobile smart devices.

• Korean Journal of Construction Engineering and Management
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• v.5 no.6 s.22
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• pp.80-89
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• 2004

Among the various factors influencing construction productivity, weather conditions or elements become very important factors in planning and executing construction project. It is especially true in Korea where the weather changes dramatically through few seasons. In this study, relationship between construction productivity of the reinforced concrete structure we for the high-rise apartment buildings and 5 weather elements including temperature, humidity, day time, rainfall, and wind velocity have been analyzed The results trough regression analysis showed that weather elements explain $58.8\%$ of productivity in total and temperature and day time were more important factors among them.

• Journal of The Korean Society of Integrative Medicine
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• v.8 no.3
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• pp.63-69
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• 2020

Purpose : Various research studies are needed to raise the perception of the CE of Korean physical therapists. However, there are little studies have been conducted, and relatively few studies are available to read on online. The purpose of the study is to find out the differences in the perception of CE according to the physical therapist's academic background. In this way, this article intends to strengthen the perception of the CE of health-care workers, such as physical therapists and occupational therapists in the Republic of Korea so that contributing to the development of national health. Methods : Present study showed that 431 out of 563 people who participated in the two meetings of CE conducted by the Gwangju Metropolitan City of the Korea Physical Therapy Association responded in the survey in 2015. Among them, only 238 people were surveyed on the awareness of CE in 2014, excluding 181 questionnaires due to poor responses and 112 questionnaires that did not participate in CE in the previous year. Descriptive analyses were conducted to identify the perception among those who experienced CE, and simple linear regression analysis was performed using dummy variables to identify awareness of the education based on their academic background. Results : Question 3 (p=.000, R2=.067) was significant in the significance test of the regression equation for perception of the CE (p<.05). Question 1 (p=.687), 2 (p=.066), 4 (p=.430), 5 (p=.085), and 6 (p=.054), 7 (p=.111), 8 (p=.088), 9 (p=.213), 10 (p=.191) and 11 (p=. 169), the regression formula was not significant (p>.05). Conclusion : Physical therapists had a moderate perception of the need for a CE and had the idea that improvements were required in what was provided in that education. In addition, there was no statistically significant difference, although there was a greater awareness of CE in the Master of Science Course or higher than college or university graduates.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.294-302
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• 2022

Detection of fake news is a complex and a challenging task. Generation of fake news is very hard to stop, only steps to control its circulation may help in minimizing its impacts. Humans tend to believe in misleading false information. Researcher started with social media sites to categorize in terms of real or fake news. False information misleads any individual or an organization that may cause of big failure and any financial loss. Automatic system for detection of false information circulating on social media is an emerging area of research. It is gaining attention of both industry and academia since US presidential elections 2016. Fake news has negative and severe effects on individuals and organizations elongating its hostile effects on the society. Prediction of fake news in timely manner is important. This research focuses on detection of fake news spreaders. In this context, overall, 6 models are developed during this research, trained and tested with dataset of PAN 2020. Four approaches N-gram based; user statistics-based models are trained with different values of hyper parameters. Extensive grid search with cross validation is applied in each machine learning model. In N-gram based models, out of numerous machine learning models this research focused on better results yielding algorithms, assessed by deep reading of state-of-the-art related work in the field. For better accuracy, author aimed at developing models using Random Forest, Logistic Regression, SVM, and XGBoost. All four machine learning algorithms were trained with cross validated grid search hyper parameters. Advantages of this research over previous work is user statistics-based model and then ensemble learning model. Which were designed in a way to help classifying Twitter users as fake news spreader or not with highest reliability. User statistical model used 17 features, on the basis of which it categorized a Twitter user as malicious. New dataset based on predictions of machine learning models was constructed. And then Three techniques of simple mean, logistic regression and random forest in combination with ensemble model is applied. Logistic regression combined in ensemble model gave best training and testing results, achieving an accuracy of 72%.

• Journal of Korean Neurosurgical Society
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• v.67 no.2
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• pp.209-216
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• 2024

Objective : Some patients with disc herniation who underwent discectomy complain of back pain after surgery and are unsatisfied with the surgical results. This study aimed to evaluate the relationship between preoperative disc height (DH), postoperative DH, and pain score 12 months after surgery in patients who underwent microdiscectomy for herniated lumbar disc. Methods : This study enrolled patients who underwent microdiscectomy at a medical center between January 2012 and December 2020. Patients with X-ray or computed tomography and pain score assessment (visual analog scale score) prior to surgery, immediately post-op, and at 1, 6, and 12 months after surgery were included. The DH index was defined as DH/overlying vertebral width. The DH ratio was defined as the postoperative DH/preoperative DH. Simple linear regression and multivariate linear regression analyses were applied to assess the correlation between DHs and leg pain scores 12 months after surgery. Results : A total of 118 patients who underwent microdiscectomy were included. DH decreased up to 12 months after surgery. The DH ratio at 1, 6, and 12 months after discectomy showed a significant positive correlation with the pain scores at 12 months after discectomy (1 month : p=0.045, B=0.52; 6 months : p=0.008, B=0.78; 12 months : p=0.005, B=0.69). Multivariate linear regression analysis revealed that the level of surgery, sex, age, and body mass index had no significant relationship with back pain scores after 12 months. Conclusion : In patients who underwent microdiscectomy, the DH ratios at 1, 6, and 12 months after surgery were prognostic factors for back pain scores at 12 months after surgery. Aggressive discectomy is recommended for lower postoperative DH ratios and Visual analog scale scores, leading to improved patient satisfaction.