• Title/Summary/Keyword: chi-square test

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Determination of Probable Rainfall Intensity Formulas for Designing Storm Sewer Systems at Incheon District (우수거 설계를 위한 인천지방에서의 확률강우강도식의 산정)

  • Ahn, Tae-Jin;Kim, Kyung-Sub
    • Journal of Korean Society of Water and Wastewater
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    • v.12 no.3
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    • pp.99-106
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    • 1998
  • This paper presents a procedure for determining the design rainfall depth and the design rainfall intensity at Incheon city area in Korea. In this study the eight probability distributions are considered to estimate the probable rainfall depths for 11 different durations. The Kolmogorov - Smirnov test and the Chi-square test are adopted to test each distribution. The probable rainfall intensity formulas are then determined by i) the least squares (LS) method, ii) the least median squares (LMS) method, iii) the reweighted least squares method based on the LMS (RLS), and iv) the constrained regression (CR) model. The Talbot, the Sherman, the Japanese, and the Unified type are considered to determine the best type for the Incheon station. The root mean squared (RMS) errors are computed to test the formulas derived by four methods. It is found that the Unified type is the most reliable and that all methods presented herein are acceptable for determining the coefficients of rainfall intensity formulas from an engineering point of view.

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A Study on Direction Finding Accuracy Analysis for Airborne ESM (항공용 전자전장비의 방향탐지 정확도 분석기법)

  • Lee, Young-Joong;Kim, In-Seon;Park, Joo-Rae
    • Journal of the Korea Institute of Military Science and Technology
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    • v.11 no.6
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    • pp.63-73
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    • 2008
  • The helicopter position, heading data and the direction finding data of ESM are essentially required to compensate the parallax and analyze the direction finding accuracy of heliborne ESM in flight test phase. In the case of the long test range compared with small platform like as LYNX helicopter and Jisim Island test site, the parallax compensation for direction finding accuracy calculation and GPS position error can be neglected. In this paper, the direction finding accuracy on the basis of helicopter propeller was calculated by coordinate changing between helicopter and transmitting antenna from WGS84 coordinate to navigation coordinate using helicopter position and direction finding data.

Effects of Calcium/Vitamin D Intake and Taekkyeon Exercise on the Elderly's Frailty (칼슘/비타민D 섭취와 택견운동이 노인 허약에 미치는 효과)

  • Lee, Kwang Ok
    • Journal of Korean Biological Nursing Science
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    • v.18 no.3
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    • pp.185-191
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    • 2016
  • Purpose: The purpose of this study is to understand the effect of taking calcium/vitamin D supplements and performing Taekkyeon exercises on the frailty of the elderly targeting a vulnerable senior social group. Methods: A total of 124 people aged 65 and older consisting of 60 persons in the experimental group, and 64 persons in the control group participated in this study, and this study is a non-equivalent control group pre/post-test design quasi-experimental study. This study analyzed the homogeneity between the experimental group and the control group using a chi-square test and t-test while analyzing the difference in the degree of frailty and bone density with the practice of Taekkyeon and a calcium agent using t-test and GEE. Results: The study results showed that the frailty and bone density of the experimental group significantly improved. Conclusion: Through this study, it was confirmed that calcium/vitamin D intake and Taekkyeon exercises were an effective intervention which strengthened the elderly's physical condition.

Store Preference on the Clothing Involvement and Body Cathexis of Elderly Women (노년기 여성의 신체만족도와 의복관여도에 따른 점포선호에 관한 연구)

  • 홍병숙
    • Journal of the Korean Home Economics Association
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    • v.34 no.4
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    • pp.245-256
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    • 1996
  • The purpose of this study were 1) to understand clothing involvement and body cathexis of elderly women, 2) to examine differences between store atmosphere factor on clothing involvement and body cathexis, 3) to find out its relationship with clothing involvement and body cathexis. Data were collected by questionnaire of 248 elderly women. Frequency, factor analysis, Chi-square, t-test, F-test, F-test, correlation and Duncan's multiple range test were used in data analysis. As a result, 1) clothing involvement of elderly women were classified with importance, fashion and interest, symbolism factor and there was significant differences with display, comfort, interior, convenience factor. 2) Elderly women were not satisfied with their body sufficiently and there was significant differences only display factor(store location, show window, display). 3) Clothing involvement was significant differences variables were found in relationship to body cathexis except income. 4) There was positive correlation between clothing involvement and body cathexis. The higher body cathexis, the more interest clothing.

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Development of Solar Power Output Prediction Method using Big Data Processing Technic (태양광 발전량 예측을 위한 빅데이터 처리 방법 개발)

  • Jung, Jae Cheon;Song, Chi Sung
    • Journal of the Korean Society of Systems Engineering
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    • v.16 no.1
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    • pp.58-67
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    • 2020
  • A big data processing method to predict solar power generation using systems engineering approach is developed in this work. For developing analytical method, linear model (LM), support vector machine (SVN), and artificial neural network (ANN) technique are chosen. As evaluation indices, the cross-correlation and the mean square root of prediction error (RMSEP) are used. From multi-variable comparison test, it was found that ANN methodology provides the highest correlation and the lowest RMSEP.

A Text Mining-based Intrusion Log Recommendation in Digital Forensics (디지털 포렌식에서 텍스트 마이닝 기반 침입 흔적 로그 추천)

  • Ko, Sujeong
    • KIPS Transactions on Computer and Communication Systems
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    • v.2 no.6
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    • pp.279-290
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    • 2013
  • In digital forensics log files have been stored as a form of large data for the purpose of tracing users' past behaviors. It is difficult for investigators to manually analysis the large log data without clues. In this paper, we propose a text mining technique for extracting intrusion logs from a large log set to recommend reliable evidences to investigators. In the training stage, the proposed method extracts intrusion association words from a training log set by using Apriori algorithm after preprocessing and the probability of intrusion for association words are computed by combining support and confidence. Robinson's method of computing confidences for filtering spam mails is applied to extracting intrusion logs in the proposed method. As the results, the association word knowledge base is constructed by including the weights of the probability of intrusion for association words to improve the accuracy. In the test stage, the probability of intrusion logs and the probability of normal logs in a test log set are computed by Fisher's inverse chi-square classification algorithm based on the association word knowledge base respectively and intrusion logs are extracted from combining the results. Then, the intrusion logs are recommended to investigators. The proposed method uses a training method of clearly analyzing the meaning of data from an unstructured large log data. As the results, it complements the problem of reduction in accuracy caused by data ambiguity. In addition, the proposed method recommends intrusion logs by using Fisher's inverse chi-square classification algorithm. So, it reduces the rate of false positive(FP) and decreases in laborious effort to extract evidences manually.

Development of Structural Equation Model for Causal Relationships Among the Risk Factors of Arteriosclerosis (동맥경화증 위험요인들간의 인과관계에 대한 구조모형 구축)

  • 오현수;서화숙
    • Journal of Korean Academy of Nursing
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    • v.29 no.6
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    • pp.1192-1207
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    • 1999
  • The purpose of this study was to clarify the dynamic relationships among risk factors of arteriosclerosis and to develop and examine a model which could explain this relationship clearly. Data were collected from medical records of 400 male clients who visited a university hospital located in Inchon for physical examinations, from May 1996 to December 1996. Data were analyzed using the LISREL (Linear Structural Relationship) 8 program. To test the fitness of the hypothesized model, chi-square, RMSR (root mean square residual), GFI (goodness of fit index), CN (critical number) and Q-plot were used. Most of the fitness measurements, except the chi-square showed that the hypothesized model complimented the real data. According to the results, there were trends that obesity and hyperlipidemia were prevalent in heavier smokers, higher alcohol intakers, and groups who excercised less. Also, hypertension was more prevalent in older age, higher alcohol intaker, and higher serum lipid level groups. In contrast to the hypothesis, alcohol intake did not significantly affect serum lipid levels. This might be due to the serum lipid measurements (total cholesterol and trigryceride) used in this study to estimate hyperlipidemia. The direct effect of smoking on hypertension was not significant. However, the total effect of smoking on the hypertension was significant since indirect effects of smoking on hypertension, such as obesity and hyperlipidemia, were significant. The total effect of obesity on hypertension was significant since the indirect effect of obesity on hypertension via hyperlipidemia was significant, although the direct effect of smoking on hypertension was not significant. The degree of explaining hyperlipidemia with smoking, exercise, and obesity was high (60%), however, the degree of explaining obesity with age, smoking, alcohol intake, and exercise was very low (7%). On the basis of these results, high risk factors of arteriosclerosis such as hypertension, hyperlipidemia, or obesity are either directly or indirectly correlated each other. Therefore, it is difficult to predict outcomes for increasing or decreasing the risk factors by simply modulating a factor. Smoking, alcohol, and exercise both directly and indirectly affected major risk factors of arteriosclerosis. Therefore, correcting these variables is required to decrease risk factors. Finally, the relationship among other risk factors which have been known to be related with arteriosclerosis (diet, stress or hereditary) should be clarified in further studies.

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Morphologic Changes of L5 Root at Coronal Source Images of MR Myelography in Cases of Foraminal or Extraforaminal Compression

  • Kim, Soo-Beom;Jang, Jee-Soo;Lee, Sang-Ho
    • Journal of Korean Neurosurgical Society
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    • v.46 no.1
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    • pp.11-15
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    • 2009
  • Objective: Two findings easily found at coronal source images of MR myelography (MRM) were evaluated : dorsal root ganglion (DRG) swelling and running course abnormality (RCA) of L5 exiting root at foramen or extraforamen. We tried to find the sensitivity of each finding when root was compressed. Methods: From 2004 July to 2006, one hundred and ten patients underwent one side paraspinal decompression for their L5 root foraminal or extraforaminal compression at L5-S1 level. All kinds of conservative treatments failed to improve leg symptom for several months. Before surgery, MRI, CT and MRM were done. Retrospective radiologic analysis for their preoperative MRM coronal source images was done to specify root compression sites and L5 root morphologic changes. Results: DRG swelling was found in 66 (60%) of 110 patients. DRG swelling has statistically valuable meaning in foraminal root compression (chi-square test, p<0.0001). Seventy-two (66%) in 110 patients showed abnormal alteration of running course. Abnormal running course has statistically valuable meaning in foraminal or extraforaminal root compression (chi-square test, p<0.0001). Conclusion: Three-dimensional MRM provides precise thin sliced coronal images which are most close to real operative views. DRG swelling and running course abnormality of L5 exiting root are two useful findings in diagnosing L5 root compression at L5-S1 foramen or extraforamen. MRM is thought to provide additional diagnostic accuracy expecially in L5-S1 foraminal and extraforaminal area.

Analysis of Factors that Affect the Follow-up Pattern after Dental Treatment under Conscious Sedation in Children (어린이의 진정법 하 치과치료 후 정기검진에 영향을 미치는 요인 분석)

  • Hwang, Inkyung;Mah, Yonjoo
    • Journal of the korean academy of Pediatric Dentistry
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    • v.45 no.3
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    • pp.324-333
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    • 2018
  • Children need regularly dental check-ups after dental treatment because there are a lot of changes of oral conditions such as tooth exfoliation and eruption, occlusion, and recurrence of dental caries. The purpose of this study is to determine the factors that affect the follow-up pattern after dental treatment under conscious sedation. Patients who were treated under sedation at the department of pediatric dentistry of Ewha Womans University Mokdong Hospital from 2009 to 2013 were included in this study. The final samples comprised of 562 patients that were classified into 4 groups according to the number of visits during 3 years. The chi-square test was used to determine the factors affecting regular follow-up. There were statistically significant differences between each treatment groups and factors such as the change of doctor, overall treatment time, the number of treated teeth under sedation, restorative treatment, minor operation, and preventive treatment (p < 0.05). This study identified factors that affect regular follow-up after dental treatment under conscious sedation. It is recommended to educate the importance of regular check-ups to parents who are less likely to return.

Factors associated with Cognitive Decline in the Elderly in Community (일 지역사회 노인의 인지기능저하 요인)

  • Kwon, Young-Sook;Paek, Kyung-Shin
    • Journal of Digital Convergence
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    • v.12 no.2
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    • pp.587-594
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    • 2014
  • This study was carried out to look into the cognitive function of the elderly in community and investigate the factors affecting their cognitive decline provide preliminary data so as to help develop a program to maintain and promote cognitive function. With 481 senior citizens aged over 65 in J. city, a survey was conducted on their demographic characteristics, health-related characteristics and depression using structured questionnaires from September 1 through 7, 2011. The collected data were analyzed by descriptive statistics, Chi-square test and logistic regression analysis using IBM SPSS Statistics V. 20. As a result of this study, 40.1% of the subjects showed cognitive decline and the factors related to their cognitive decline turned out to be the level of education (p<.001), age (p=.000), depression and exercise (p<.05). Therefore, intervention programs on depression or exercise should be implemented intensively and in particular, various programs and educations should be provided considering individual differences according to the level of education and age.