• Journal of Korean Medical classics
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• v.18 no.4 s.31
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• pp.15-26
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• 2005

통과연구(通過硏究)${\ulcorner}$의학입문(醫學入門)${\lrcorner}$중대어삼음삼양각자이육기배속원리(中對於三陰三陽各自以六氣配屬原理), 육기납지(六氣納支), 절기방위(節氣方位), 표본음양속성(標本陰陽屬性), 경맥납지(經脈納支), 맥체(脈體), 치법(治法), 중기등진행분류급고찰(中氣等進行分類及考察), 득출결론여하(得出結論如下) : 1. 삼음삼양적속성여지지적배속불일치(三陰三陽的屬性與地支的配屬不一致). 태양화궐음수연이지지여진술화사해(太陽和厥陰雖然以地支與辰戌和巳亥), 인신상배속(寅申相配屬), 단시실제상표본적음양속성여납지적원리시부동적(但是實際上標本的陰陽屬性與納支的原理是不同的). 인차(因此), 재구별표본음양적특성상(在區別標本陰陽的特性上), 절기(節氣), 방위등불능성위일정기준(方位等不能成爲一定基準). 2. 삼음삼양본기적오행속성화경맥납지(三陰三陽本氣的五行屬性和經脈納支), 유가능불일치(有可能不一致). 양명조금지본(陽明操金之本), 불시수양명대장(不是手陽明大腸), 실제상족양명위재시본(實際上足陽明胃才是本), 소양상화지본(少陽相火之本), 역불시수소양삼초(亦不是手少陽三焦), 실제상족소양담재본(實際上足少陽膽才本). 3. 삼음삼양안조종화규율기치법각이(三陰三陽按照從化規律其治法各異). 제일(第一), 표여본적음양속성상반시용반치법(標與本的陰陽屬性相反時用反治法). 소음본열표한(少陰本熱標寒), 태양본한표열(太陽本寒標熱), 차한열부정(且寒熱不定), 고태양열인한용(故太陽熱因寒用), 이소음한인열용(而少陰寒因熱用). 제이(第二), 표여본적음양속성상동시용정치법(標與本的陰陽屬性相同時用正治法). 태음표본균한(太陰標本均寒), 소양표본균열(少陽標本均熱), 고태음한인한용(故太陰寒因寒用), 색인색용(塞因塞用), 이소양통인통용(而少陽通因通用). 제삼(第三), 표여본적음양속성상반(標與本的陰陽屬性相反), 차여중기적음양속성부동시(且與中氣的陰陽屬性不同時), 불능용정치혹반치법(不能用正治或反治法), 응구종어중진행치료(應驅從於中進行治療). 즉불능구니어궐음화양명적소정치법(卽不能拘泥於厥陰和陽明的所定治法), 응수기종중진행치료(應隨機從中進行治療). 4. ‘소음태양(少陰太陽) 종본종표(從本從標)’ 재응용어치료시(在應用於治療時), 가해석여하(可解釋如下): 제일(第一), 혹자종본(或者從本), 혹자종표(或者從標). 제이(第二), 혹자종본(或者從本), 혹자종표(或者從標), 단치료상유기선후지별(但治療上有其先後之別). 제삼(第三), 소음한인열용(少陰寒因熱用). 태양열인한용(太陽熱因寒用), 고동시구종어표본(故同時驅從於標本). 5. 재(在)‘양명궐음(陽明厥陰) 부종표본(不從標本) 종호중(從乎中)’적(的)‘종호중(從乎中)’, 가이해위재치법운용중가이(可理解爲在治法運用中可以)‘수기취중(隨機取中)’지의(之意).

• Journal of Educational Research in Mathematics
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• v.15 no.4
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• pp.445-459
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• 2005

Statistics education is considered within the mathematics curriculum and, thus, can be integrated into other areas of mathematics. However, statistical concepts and thinking skills have to be considered as very different from those of other areas. It is possible to make statistics more meaningful for the learner by making definitions or explanations of concepts in textbooks more clear and consistent. In 'Math I' and 'Probability & Statistics' of the 7th curriculum, the definitions of sample standard deviation are different, which might confuse students. In this study, firstly, some issues relevant to sample standard deviation concept are discussed through the analysis in terms of didactical situation and curriculum. Secondly, the characteristics of sample standard deviation concept as a scholarly knowledge are examined. Finally, the characteristics of didactic transposition of sample standard deviation concept in Japanese, American, and British textbooks are investigated and some suggestions are elicited.

• Journal of the Korean Data and Information Science Society
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• v.23 no.4
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• pp.677-682
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• 2012

There are lots of sampling design which is determined for sample survey in various fields. Especially, it is important problem for clinical data because basic characteristic variables by group which consist of experiment group and control group in population should be reflect to sample. Therefore, frequencies, center scales and dispersion scales of variables by group in population should be similar in sample. But usual sampling design is very complicate so it is difficult to use in practice for researcher. In this paper, we consider the sampling method using simulation. We applied the proposed method to colon cancer data from a hospital. We compare basic characteristic variables between population and sample with mean, frequency and statistic hypothesis test.

• The Korean Journal of Applied Statistics
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• v.34 no.6
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• pp.889-904
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• 2021

This study is a follow-up study of Kang and Kim (2020). In this study, we derive the sample influence functions of the t-statistic which were not directly derived in previous researches. Throughout these results, we both mathematically examine the relationship between the empirical influence function and the sample influence function, and consider a method to approximate the sample influence function by the empirical influence function. Also, the validity of the relationship between an approximated sample influence function and the empirical influence function is verified by a simulation of a random sample of size 300 from normal distribution. As a result of the simulation, the relationship between the sample influence function which is derived from the t-statistic and the empirical influence function, and the method of approximating the sample influence function through the empirical influence function were verified. This research has significance in proposing both a method which reduces errors in approximation of the empirical influence function and an effective and practical method that evolves from previous research which approximates the sample influence function directly through the empirical influence function by constant revision.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.293-297
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• 2021

This paper applies the natural history contents of the Science Museum and combines the Gestalt theory to develop the butterfly arrangement structure of the butterfly sample box and the butterfly sample information necessary for the sample box as AR (Augmented Reality). Existing analog sample information is expressed as digital information by combining place, butterfly information, and graph to maximize the effect of digital diorama exhibition. Digital natural history information is increased or decreased, and an environment optimized for real samples and suitability is constructed, and natural history contents are arranged in the principles of collectiveness, closure, simplicity, and continuity using the Gestalt visual perception principle to increase attention and increase the attention of butterfly collection information. Was applied as an application plan of AR.

• Journal of Software Assessment and Valuation
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• v.7 no.1
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• pp.29-39
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• 2011

To evaluate the quality of clone detection tools, we should know how many clones the tool misses. Hence we need to have the standard code-clone reference corpus for a carefully chosen set of sample source codes. The reference corpus available so far has been built by manually collecting clones from the results of various existing tools. This paper presents a tree-pattern-based clone detection tool that can be used for automatic generation of reference corpus. Our tool is compared with CloneDR for precision and Bellon's reference corpus for recall. Our tool finds no false positives and 2 to 3 times more clones than CloneDR. Compared to Bellon's reference corpus, our tools shows the 93%-to-100% recall rate and detects far more clones.

• Communications for Statistical Applications and Methods
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• v.19 no.3
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• pp.315-331
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• 2012

In this research, we estimated the number of hits per song and its sampling error from 11 (areas including Gangnam) based on log data compiling the number of hits collected from offline karaoke players in March 2011. Then, we calculated the monetary equivalent of the sampling error under the current system that distribute royalties from the karaoke players to copyright holders(song writers and arrangers) according to the estimated hits. Because of the small sample size, the estimated number of hits had a very large sampling error. This research proposes a more reasonable sample design to estimate the usage of copyrighted music works for a fair distribution of royalties by reducing sampling error.

• Clinics in Shoulder and Elbow
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• v.16 no.1
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• pp.53-57
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• 2013

Purpose: This review aims to explain the definition and basic principle of statistical analysis and to clarify statistical issues related to the sample size calculation. Materials and Methods: Many formulas are available that can be applied for different types of data and study design. Results: The sample size is the number of patients or other experimental units that need to be calculated prior to the study. Determining the appropriate sample size is required to answer the research question. Conclusion: Caution is needed when applying formula for the calculation of the sample size, as it is sensitive to error and even small differences in selected parameters can lead to large differences in the sample size.

• Journal of the Korean Data and Information Science Society
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• v.22 no.1
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• pp.1-8
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• 2011

In panel studies in which the same respondents are interviewed repeatedly over the long term, panel attrition may cause the problems in the reliability of the result and the representativeness of the sample in panel study. In this article, we explore the risk factors of sample attrition in the first 11 waves of the Korean Labor and Income Panel Study (KLIPS) data covering the years 1998-2008, for which the survival analysis techniques such as life-table method and Cox proportional hazard model based on the time to the attrition of each respondent as the survival time of the respondent are applied.

• Journal of Broadcast Engineering
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• v.18 no.1
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• pp.106-114
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• 2013

This paper deals with the effect of the internal sampling frequency and core band down sampling ratio on the overall performance of the MPEG USAC. Here, the internal sampling frequency is the sampling frequency of a signal actually coded. The core band down sampling ratio is the ratio of the width of the core band over that of the coded band. The performance was measured on 6 different test sound sources by the MUSHRA test with 10 subjects. The experiments showed that 1/3 or 1/4 core band down sampling ratio could yield the better performance than the conventional 1/2 ratio, especially at low rates.