• Communications for Statistical Applications and Methods
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• 제30권3호
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• pp.273-289
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• 2023

In this paper, we develop a new time series model for predicting IPO (initial public offering) data with non-negative integer value. The proposed model is based on integer-valued autoregressive (INAR) model with a Poisson thinning operator. Just as the heterogeneous autoregressive (HAR) model with daily, weekly and monthly averages in a form of cascade, the integer-valued heterogeneous autoregressive (INHAR) model is considered to reflect efficiently the long memory. The parameters of the INHAR model are estimated using the conditional least squares estimate and Yule-Walker estimate. Through simulations, bias and standard error are calculated to compare the performance of the estimates. Effects of model fitting to the Korea's IPO are evaluated using performance measures such as mean square error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE) etc. The results show that INHAR model provides better performance than traditional INAR model. The empirical analysis of the Korea's IPO indicates that our proposed model is efficient in forecasting monthly IPO volumes.

• 대한치과교정학회지
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• 제24권4호
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• pp.799-817
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• 1994

The purpose of this study was to evaluate the initial skeletal pattern and growth change of whom had responsed well to chincap therapy. 93 patients seleted for this study were in mixed dentition and treated with chincap for more than 2 years. And 54 subjects were selected from these total samples and classified into two groups by the improvement of four measurements : ANB difference, APDI, Wits appraisal, and AF-BF. One was good response group which consisted of 26 children and the other was poor response group with 19 patients. Various measures of the craniofacial structure in the initial lateral cephalograms and the annual increments were calculated and analyzed by comparing two groups with t-test. The results were as follows : 1. Good response group had more horizontal growth pattern in initial stage of treatment than poor response group, and the contributing factors of this result were anterior posterior facial height ratio, gonial angle, lower genial angle and SN-mandibular plane angle. 2. The maxilla was positioned more anteriorly in good response group. 3. The amounts of vertical growth of maxilla was smaller but the horizontal growth of maxilla was larger in good response group. 4. The mandible rotated more infero-posteriorly in good response group. 5. The good response group had more vertical growth pattern of mandibular condyle.

• 대한예방한의학회지
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• 제28권1호
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• pp.119-130
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• 2024

Objectives : The objective of this review is to examine the variety of evaluation parameters utilized in clinical trials that assess the anticancer efficacy of herbal medicine, focusing on the importance of including both symptomatic management and direct anticancer effectiveness. Methods : A detailed literature review was conducted across PubMed, Embase, and the Cochrane Library to identify clinical trials investigating the antitumor efficacy of herbal medicine. The search was performed on February 22, 2024. This review specifically examined the employed outcome measures, which were then categorized and analyzed to understand their relevance and application in evaluating the anticancer properties of herbal medicine. Results : From an initial search of 900 records, 15 clinical trials were selected for in-depth analysis after deduplication and screening. These studies evaluated the efficacy of herbal medicine across various cancers, including hepatocellular carcinoma, colorectal cancer, and breast cancer, using outcome measures such as survival rates, disease control rates, and quality of life improvements. The research spanned multiple countries, primarily in East Asia and the United States, reflecting a global interest in herbal medicine as a complementary approach to cancer treatment. The present study demonstrated that herbal medicine, especially when used alongside standard treatments, potentially improved clinical outcomes and patient well-being. Conclusions : The findings of this review highlight the need for a broader focus on the full range of therapeutic capabilities of herbal medicine, including its direct anticancer effects, in the management of cancer patients. Future oncology research involving herbal medicine should integrate a wide spectrum of clinical endpoints to fully ascertain its impact on cancer treatment and patient health.

• Asia pacific journal of information systems
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• 제18권2호
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• pp.95-114
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• 2008

Recent interests in data mining result from the expansion of the amount of business data and the growing business needs for extracting valuable knowledge from the data and then utilizing it for decision making process. In particular, recent advances in association rule mining techniques enable us to acquire knowledge concerning sales patterns among individual items from the voluminous transactional data. Certainly, one of the major purposes of association rule mining is to utilize acquired knowledge in providing marketing strategies such as cross-selling, sales promotion, and shelf-space allocation. In spite of the potential applicability of association rule mining, unfortunately, it is not often the case that the marketing mix acquired from data mining leads to the realized profit. The main difficulty of mining-based profit realization can be found in the fact that tremendous numbers of patterns are discovered by the association rule mining. Due to the many patterns, data mining experts should perform additional mining of the results of initial mining in order to extract only actionable and profitable knowledge, which exhausts much time and costs. In the literature, a number of interestingness measures have been devised for estimating discovered patterns. Most of the measures can be directly calculated from what is known as a contingency table, which summarizes the sales frequencies of exclusive items or itemsets. A contingency table can provide brief insights into the relationship between two or more itemsets of concern. However, it is important to note that some useful information concerning sales transactions may be lost when a contingency table is constructed. For instance, information regarding the size of each market basket(i.e., the number of items in each transaction) cannot be described in a contingency table. It is natural that a larger basket has a tendency to consist of more sales patterns. Therefore, if two itemsets are sold together in a very large basket, it can be expected that the basket contains two or more patterns and that the two itemsets belong to mutually different patterns. Therefore, we should classify frequent itemset into two categories, inter-pattern co-occurrence and intra-pattern co-occurrence, and investigate the effect of the market basket size on the two categories. This notion implies that any interestingness measures for association rules should consider not only the total frequency of target itemsets but also the size of each basket. There have been many attempts on analyzing various interestingness measures in the literature. Most of them have conducted qualitative comparison among various measures. The studies proposed desirable properties of interestingness measures and then surveyed how many properties are obeyed by each measure. However, relatively few attentions have been made on evaluating how well the patterns discovered by each measure are regarded to be valuable in the real world. In this paper, attempts are made to propose two notions regarding association rule measures. First, a quantitative criterion for estimating accuracy of association rule measures is presented. According to this criterion, a measure can be considered to be accurate if it assigns high scores to meaningful patterns that actually exist and low scores to arbitrary patterns that co-occur by coincidence. Next, complementary measures are presented to improve the accuracy of traditional association rule measures. By adopting the factor of market basket size, the devised measures attempt to discriminate the co-occurrence of itemsets in a small basket from another co-occurrence in a large basket. Intensive computer simulations under various workloads were performed in order to analyze the accuracy of various interestingness measures including traditional measures and the proposed measures.

• International Journal of Industrial Entomology and Biomaterials
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• 제4권2호
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• pp.133-136
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• 2002

Whitefly, Dialeuropora decempuncta (Quaintance rind Baker) (Homoptera: Aleyrodidae) has attained the major pest status in mulberry, causing 24% crop loss by sucking the leaf juice and manifesting leaf curl, chlorosis and sooty mould desease during monsoon season in West Bengal, India. The assessment of economic threshold revel is an essential component for formulating the management practices. Experiments were carried out by inoculating five different densities of whitefly viz.,10, 20, 30, 40 and 50 adults on covered mulberry plants in glass houses. From the findings, it was observed that irrespective of released density, no crop loss was observed in the initial period. But with the passing of days, the percent crop loss was increased rapidly. The linear relationship between percent crop loss and number of adults released was established to highlight the significance of economic threshold. The statistical analysis in the linear form of equation showed that initial population of 10, 20, 30, 40 and 50 whiteflies/plant causes 3%, 12%, 21%, 30% and 40% crop loss in a period of 28 days which is equivalent to 57 kg, 247 kg, 437 kg, 626 kg and 816 kg leaf/acre. Execution of management practices (spray of 0.01% monocrotophos) are economical to the farmer whenever the loss is above 247 kg/acre, but below which application of control measures is not economical. From this study, it can be inferred that the economic threshold level far whitefly is 20 individuals/plant beyond which a farmer has to take appropriate control measures.

• 한국화재소방학회논문지
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• 제27권5호
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• pp.44-56
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• 2013

한국기준 표준화된 A급 목재 및 B급 유류 화재 시험에서 룸코너시험기(RCT)를 사용하여 연소유독가스의 생성을 정량적으로 알아보고, 시험자들에게 미치는 인체유해성을 확인하였다. 그 결과 A급의 경우 유독가스가 시험자들에 직접적으로 노출되는 초기 3분 동안, 분당호흡량(RMV) 2단계에서 40% 카복시헤모글로빈(COHb)가 넘어가는 경우는 A급 9, 10단위에 해당하며, RMV 3단계에서 A급 5~10 단위까지가 모두 40% COHb을 초과함을 확인하였다. 한편 B급의 경우 유독가스가 시험자에게 직접 노출되는 초기 1분 동안은 A급에 비해 다소 안전하나 총 연소시간에는 RMV 3단계에서 B급 16~20 단위까지가 모두 20% COHb을 초과한 수치가 나옴을 확인하였다. 따라서 이 연구에서는 시험자들은 소화시험의 단위수를 고려하여 자급 호흡보조기나 그와 동일한 기능의 장치를 착용하는 규정을 제안한다.

• International Journal of Aeronautical and Space Sciences
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• 제13권1호
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• pp.14-26
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• 2012

The only extraterrestrial life detection experiments ever conducted were the three which were components of the 1976 Viking Mission to Mars. Of these, only the Labeled Release experiment obtained a clearly positive response. In this experiment $^{14}C$ radiolabeled nutrient was added to the Mars soil samples. Active soils exhibited rapid, substantial gas release. The gas was probably $CO_2$ and, possibly, other radiocarbon-containing gases. We have applied complexity analysis to the Viking LR data. Measures of mathematical complexity permit deep analysis of data structure along continua including signal vs. noise, entropy vs.negentropy, periodicity vs. aperiodicity, order vs. disorder etc. We have employed seven complexity variables, all derived from LR data, to show that Viking LR active responses can be distinguished from controls via cluster analysis and other multivariate techniques. Furthermore, Martian LR active response data cluster with known biological time series while the control data cluster with purely physical measures. We conclude that the complexity pattern seen in active experiments strongly suggests biology while the different pattern in the control responses is more likely to be non-biological. Control responses that exhibit relatively low initial order rapidly devolve into near-random noise, while the active experiments exhibit higher initial order which decays only slowly. This suggests a robust biological response. These analyses support the interpretation that the Viking LR experiment did detect extant microbial life on Mars.

• 국제지역연구
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• 제16권1호
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• pp.275-301
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• 2012

본고는 1980-2009년 기간 인도의 주별 1인당 소득 자료를 이용하여 지역별 불균형 성장을 분석하였다. 전통적인 회귀모형과 공간자기회귀모형을 활용하여 분석한 결과, 두 가지 분석 모두에서 초기소득수준이 경제성장률과 상관관계가 있다는 증거를 발견하지 못하였다. 하지만 공간시차모형 및 공간오차모형에서 공간요소가 주별 경제성장에 영향을 미친다는 증거를 발견하였다. 일부 주들(outliners)을 제외하여 공간효과를 재분석한 결과, 공간적 영향이 더 강하게 나타난 것은 물론 초기소득변수가 비록 통계적으로 유의하지는 않지만 음(-)의 값에서 양(+)의 값으로 전환되었다. 더욱이, 공간효과를 나타내는 두 계수의 값이 통계적으로 유의한 음(-)의 값을 갖는 것으로 추정되었다. 또한 변이계수를 이용하여 주별 소득 분산을 계산 한 결과, 주별 소득 분산은 더욱 확대되고 있는 것으로 계상되었다. 따라서 인도의 주별 경제성장의 격차는 수렴보다는 확대되고 있다고 해석된다. 그 이유는 최근에 인도경제가 급속하게 성장하면서 일부 주들은 다른 주들보다 더 빠르게 성장하는 반면, 상대적으로 경제개발정책에서 소외된 지역의 주들은 느리게 성장하고 있기 때문으로 해석된다. 따라서 인도경제는 급속하게 성장하는 기간 동안은 지역별 성장의 격차는 지속될 가능성이 높은 것으로 분석된다.

• Advances in Computational Design
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• 제4권1호
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• pp.53-72
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• 2019

Safety measures for tower cranes are extremely important among the seismic countermeasures at high-rise building construction sites. In particular, the collapse of a tower crane from a high position is a very serious catastrophe. An example of such an accident due to an earthquake is the case of the Taipei 101 Building (the author was the project director), which occurred on March 31, 2002. Failure of the bolted joints of the tower-crane mast was the direct cause of the collapse. Therefore, it is necessary to design for this eventuality and to take the necessary measures on construction sites. This can only be done by understanding the precise dynamic behavior of mast joints during an earthquake. Consequently, we created a new hybrid-element model (using beam, shell, and solid elements) that not only expressed the detailed behavior of the site joints of a tower-crane mast during an earthquake but also suppressed any increase in the total calculation time and revealed its behavior through computer simulations. Using the proposed structural model and simulation method, effective information for designing safe joints during earthquakes can be provided by considering workability (control of the bolt pretension axial force and other factors) and less construction cost. Notably, this analysis showed that the joint behavior of the initial pretension axial force of a bolt is considerably reduced after the axial force of the bolt exceeds the yield strength. A maximum decrease of 50% in the initial pretension axial force under the El Centro N-S Wave ($v_{max}=100cm/s$) was observed. Furthermore, this method can be applied to analyze the seismic responses of general temporary structures in construction sites.

• 제어로봇시스템학회논문지
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• 제22권8호
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• pp.597-602
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• 2016

In image guided surgery, a patient registration process is a critical process for the successful operation, which is required to use pre-operative images such as CT and MRI during operation. Though several patient registration methods have been studied, we concentrate on one method that utilizes 3D surface measurement data in this paper. First, a hand-held 3D surface measurement device measures the surface of the patient, and secondly this data is matched with CT or MRI data using optimization algorithms. However, generally used ICP algorithm is very slow without a proper initial location and also suffers from local minimum problem. Usually, this problem is solved by manually providing the proper initial location before performing ICP. But, it has a disadvantage that an experience user has to perform the method and also takes a long time. In this paper, we propose a method that can accurately find the proper initial location automatically. The proposed method finds the proper initial location for ICP by converting 3D data to 2D curvature images and performing image matching. Curvature features are robust to the rotation, translation, and even some deformation. Also, the proposed method is faster than traditional methods because it performs 2D image matching instead of 3D point cloud matching.