• Korean Journal of Clinical Laboratory Science
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• v.36 no.2
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• pp.137-143
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• 2004

Erythrocyte sedimentation rate(ESR) measurements were performed in a total of 191 blood samples from patients below a hematocrit of 35% by both the Test-1(SIRE Analytical Systems, Udine, Italy) and the Westergren method, endorsed as the reference method for ESR by the International Council for Standardization in Hematology(ICSH). The corrected Westergren ESR values were also obtained applying the formula of Fabry (corrected ESR = ESR measured x 15/55-Hct). Linear regression analysis showed a close correlation (r=0.85) between the two methods both before and after ESR correction in total samples. There was no significant correlation difference between two methods in both two groups with hemoglobin $${\geq_-}9g/dl$$ and <9g/dl before and after ESR correction (r=0.873, r=0.827 respectively before correction and r=0.867, r=0.830 respectively after correction). Also, for two groups with hematocrit $${\geq_-}24%$$ and <24%, no significant difference was observed (r=0.859, r=0.792 respectively before correction and r=0.782, r=0.842 respectively after correction). However, for samples with <60mm of Westergren ESR before correction, a better correlation coefficient was obtained than samples with $${\geq_-}60mm$$(r=0.701, r=0.541 respectively). In corrected Westergren ESR, also samples that were obtained with <40mm showed better correlation than samples with $${\geq_-}40mm$$ (r=0.690, r=0.347 respectively). In conclusion, we found a good correlation between Test-1 and Westergren measurements in patients with anemia but an expert group discussion is required to solve discrepancy between two methods in blood samples with very high ESR.

• Journal of the Korean Geosynthetics Society
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• v.13 no.2
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• pp.41-47
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• 2014

Various prediction methods for the bearing capacity of helical piles have been introduced with consideration of both the steel shaft and the helix plates attached to the shaft. In this paper, three representative methods, that is, individual bearing method, cylindrical shear method, and torque correlation method are discussed and compared to each other. The prediction methods were verified by comparing with a series of loading test results performed on moderate-size helical piles from the companion paper. As a result, the measured bearing capacity is greater than the bearing capacity predicted by the cylindrical shear method, but smaller than that of the individual bearing method. In addition, the bearing capacity predicted by the torque correlation method is in good agreement with the measured bearing capacity.

• Journal of the Korean Dietetic Association
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• v.14 no.4
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• pp.361-370
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• 2008

The purpose of this study is to provide basic data for the medical nutrition therapy of premature infants. The general characteristics, presence of metabolic disorders, hematological profile and feeding methods were compared between the premature infant group (<37 weeks, n=61) and the full-term infant group (37$\sim$42 weeks, n=165). Birth weight (p<0.0001), birth length (p<0.005), head circumference (p<0.0001), chest circumference (p<0.0001), and Apgar scores (p<0.0001) of the neonates were all statistically lower in the premature infant group. Jaundice cases (p<0.0001) were statistically higher in the premature infant group. White blood cell counts (WBC: p<0.005), mean corpuscular volume (MCV: p<0001), mean corpuscular hemoglobin (MCH: p<0.005), mean corpuscular hemoglobin concentration (MCHC: p<0.005), and mean platelet volume (MPV: p<0.05) were statistically lower in the premature infant group. The premature infant group were fed a higher rate of premature formula than breast milk and the full-term infant group were fed a high rate of human milk at a higher rate, showing differences in kinds of feeding methods (p<0.0001) between the two groups. An infant's birth weight showed a significantly positive correlation with the infant's birth length (p<0.0001), head circumference (p<0.0001), chest circumference (p<0.0001), and Apgar scores(p<0.0001). The birth length also showed a significantly positive correlation with both head circumference (p<0.05) and chest circumference (p<0.05). Head circumference showed a significantly positive correlation with chest circumference (p<0.0001) and Apgar scores (p<0.0001). Chest circumference showed a significantly positive correlation with Apgar scores (p<0.0001). In addition, the Apgar Score at of 1 minute after birth showed a significantly positive correlation with the Apgar score at of 5 minute after birth (p<0.0001).

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.12C
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• pp.983-990
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• 2008

In communication systems, initial acquisition is required for the reliable transmission performance, and the analysis of the acquisition performance over various communication environments including different signal-to-noise ratios plays an important role in communication system design. Usage of differential correlation methods in initial synchronization procedure is desired when frequency offsets exist, and additional performance improvement can be achieved through proper modifications of conventional correlation schemes. In this paper, we derive the error probability of the initial acquisition and express it in terms of the Marcum Q-function, via statistical modeling of the differential correlator output. The result is generalized to the error probabilities of the extended differential correlation methods using the complex- and magnitude-sum of the correlator outputs. The derived probabilities can be applied for the acquisition performance verification of various communication systems including the DVB-S2 standard.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.1951-1966
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• 2020

Recent advancements in mobile device technology have enabled real-time positioning so that mobile patterns of people and favorable locations can be identified and related researches have become plentiful. One of the fields of research is the relationship between the object properties and the favored location to visit. The object properties of a person include personality, which is a major property jobs, income, gender, and age. In this study, we analyzed the relationship between the human personality and the preference of the location to visit. We used Spearman's Rank correlation coefficient, one of the many methods that can be used to determine the correlation between two variables. Instead of using actual data values, Spearman's Rank correlation coefficient deals with the ranks of the two data sets. In our research, the personality and the location data sets are used. Our personality data is ranked in five ranks and the location data is ranked in 8 ranks. Spearman's Rank correlation coefficient showed better results compared to Pearson linear correlation coefficient and Kendall rank correlation coefficient. Using Spearman's correlation coefficient, the degree of the relationship between the personality and the location preference is found to be 43%.

• Geophysics and Geophysical Exploration
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• v.7 no.1
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• pp.7-13
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• 2004

In this paper, we demonstrate that Common Mid-Point (CMP) cross-correlation gathers of multi-channel and multi-shot surface waves give accurate phase-velocity curves, and enable us to reconstruct two-dimensional (2D) velocity structures with high resolution. Data acquisition for CMP cross-correlation analysis is similar to acquisition for a 2D seismic reflection survey. Data processing seems similar to Common Depth-Point (CDP) analysis of 2D seismic reflection survey data, but differs in that the cross-correlation of the original waveform is calculated before making CMP gathers. Data processing in CMP cross-correlation analysis consists of the following four steps: First, cross-correlations are calculated for every pair of traces in each shot gather. Second, correlation traces having a common mid-point are gathered, and those traces that have equal spacing are stacked in the time domain. The resultant cross-correlation gathers resemble shot gathers and are referred to as CMP cross-correlation gathers. Third, a multi-channel analysis is applied to the CMP cross-correlation gathers for calculating phase velocities of surface waves. Finally, a 2D S-wave velocity profile is reconstructed through non-linear least squares inversion. Analyses of waveform data from numerical modelling and field observations indicate that the new method could greatly improve the accuracy and resolution of subsurface S-velocity structure, compared with conventional surface-wave methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.7
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• pp.3128-3149
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• 2018

A number of effective methods for multiple-attribute group decision making (MAGDM) with interval-valued intuitionistic fuzzy numbers (IVIFNs) have been proposed in recent years. However, the different methods frequently yield different, even sometimes contradictory, results for the same problem. In this paper a novel criterion to determine the advantages and disadvantages of different methods is proposed. First, the decision-making process is divided into three parts: translation of experts' preferences, aggregation of experts' opinions, and comparison of the alternatives. Experts' preferences aggregation is considered the core step, and the quality of the collective matrix is considered the most important evaluation index for the aggregation methods. Then, methods to calculate the similarity measure, correlation, correlation coefficient, and energy of the intuitionistic fuzzy matrices are proposed, which are employed to evaluate the collective matrix. Thus, the optimal method can be selected by comparing the collective matrices when all the methods yield different results. Finally, a novel approach for aggregating experts' preferences with IVIFN is presented. In this approach, experts' preferences are mapped as points into two-dimensional planes, with the plant growth simulation algorithm (PGSA) being employed to calculate the optimal rally points, which are inversely mapped to IVIFNs to establish the collective matrix. In the study, four different methods are used to address one example problem to illustrate the feasibility and effectiveness of the proposed approach.

• Clinics in Orthopedic Surgery
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• v.10 no.4
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• pp.500-507
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• 2018

Background: The sagittal alignment of the spine and pelvis is not only closely related to the overall posture of the body but also to the evaluation and treatment of spine disease. In the last few years, the EOS imaging system, a new low-dose radiation X-ray device, became available for sagittal alignment assessment. However, there has been little research on the reliability of EOS. The purpose of this study was to evaluate the intrarater and interrater reliability of EOS for the sagittal alignment assessment of the spine and pelvis. Methods: Records of 46 patients were selected from the EOS recording system between November 2016 and April 2017. The exclusion criteria were congenital spinal anomaly and deformity, and previous history of spine and pelvis operation. Sagittal parameters of the spine and pelvis were measured by three examiners three times each using both manual and EOS methods. Means comparison t-test, Pearson bivariate correlation analysis, and reliability analysis by intraclass correlation coefficients (ICCs) for intrarater and interrater reliability were performed using R package "irr." Results: We found excellent intrarater and interrater reliability of EOS measurements. For intrarater reliability, the ICC ranged from 0.898 to 0.982. For interrater reliability, the ICC ranged from 0.794 to 0.837. We used a paired t-test to compare the values measured by manual and EOS methods: there was no statistically significant difference between the two methods. Correlation analysis also showed a statistically significant positive correlation. Conclusions: EOS showed excellent reliability for assessment of the sagittal alignment of the spine and pelvis.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.3
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• pp.49-57
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• 2023

Purpose : This study aimed to systematically review the correlation between hand dexterity and cognitive function in the elderly, and summarize various evaluation tests and results analysis methods for manual dexterity tests applied to this population. Methods : We searched published studies in the Korean Studies Information Service System and PubMed databases from January 2013 to March 2023. The main keywords used were "dexterity," "fine motor," "elderly," "cognitive function," and "correlation." A total of 10 studies were selected for analysis from the 1,524 searched articles. The included studies consisted of a cohort study, a longitudinal study, and eight cross-sectional studies which were analyzed for patients, intervention, comparison, and outcomes. Results : Analyzing the qualitative level of 10 studies, 8 articles (80%) were non-randomized two-group studies that provided level II evidence whereas the remaining 2 studies (20%) were non-randomized single-group studies (level III evidence). Therefore, these results indicated that the level of evidence in this field is generally high. The Purdue pegboard test was the most commonly used evaluation test for manual dexterity, and velocity speed was the most frequently employed analysis method. Results indicated that there were significant differences in manual dexterity test between the normal elderly, those with mild cognitive impairment, or dementia. Conclusions : These results can be used as a basis for selecting dexterity test evaluation items and methods to analyze it in the elderly while screening for cognitive impairment. In addition, this study highlights potential areas for future research on the development of manual dexterity evaluation tools and techniques for analysis and the need for more reliable and valid methods for assessing cognitive function in the elderly.

• Communications for Statistical Applications and Methods
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• v.19 no.3
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• pp.471-478
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• 2012

In this paper, we present a permutation test to select the number of pairs of canonical variates in canonical correlation analysis. The existing chi-squared test is known to be limited to normality in use. We compare the existing test with the proposed permutation test and study their asymptotic behaviors through numerical studies. In addition, we connect canonical correlation analysis to regression and we we show that certain inferences in regression can be done through canonical correlation analysis. A regression analysis of real data through canonical correlation analysis is illustrated.