• Korean Journal of Plant Taxonomy
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• v.37 no.1
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• pp.41-59
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• 2007

This study was to establish the floristic composition of northern region in Gyeonggi-Province area($126^{\circ}45^{\prime}-127^{\circ}37^{\prime}E$, $37^{\circ}31^{\prime}-38^{\circ}17^{\prime}N$). This work was investigated from April, 1988 to October, 2004. The flora of vascular plants of northern region in Gyeonggi-Province were consisted of total 2,030 taxa; 145 families, 656 genera, 1,611 species, 7 subspecies, 320 varieties, 1 subvarieties and 91 formae. Among them, Korean endemic species were composed of 46 families, 85 genera, 84 species, 35 varieties, 1 subvarieties, and 18 formae, total 138 taxa. The rare and endangered plants based on floral region indicated by Ministry of Environment were 416 taxa; V rank species 18 taxa, IV rank species 79 taxa, III rank species 111 taxa, II rank species 80 taxa, I rank species 128 taxa. Also the naturalized plants were 114 species, correspond to 39.7% of among total 287 species appeared in South Korea. the result of PCA, Gwangju mountain chain at northern region of Gyeonggi-Province has rich and diverse vascular plants, and there are many Korean endemic, rare and endangered plants. therefore Gwangju mountain chain must be the core axis in for conserving the plant biodiversity and richness.

• Journal of Plant Biology
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• v.38 no.1
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• pp.63-72
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• 1995

The growth, size and morphology of leaves, which foliated on the same shoot and time in the early growth season, were studied in 12 woody species in temperate deciduous forests of Korea, and the equation for the index of heteromorphism of leaves was fonnulated. The numbers of leaves per shoot were from 3 to 7 in early growth season and the numbers of synchronous leafing were from 2 to 6. All the leaves on a shoot were reached maximum values of specific leaf arells at the SIlme time nearly. The differences of the length (L) and breadth (B) of leaves along leaf rank (plastochron) were conspicuous, except for Quercus variabilis. Especially, in 10 species, the ~fferences of the neighbouring leaves were significant at 0.001 or 0.05 level. The index of leaf heteromorphism was calculated from the data based on $L\;{\times}\;B$ and LIB, and similar to differences of actual leaves along leaf rank. The values of index of heteromorphism were high in Carpinus tschonosldi, Styrax obassia, Ulmus davidiana, Rhamnus yoshinoi and Symplocos chinensis for. pilosa, and low in Sorbus alnifolia and Tilia amurensis. The index of heteromorphism had no relation to other characters of the leaf or life fonn of the species. It was thought that the differences along leaf rank were related to the degree of adaptation to environment, especially to changing air temperature in early growth season.season.

• The Korean Journal of Archival Studies
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• no.66
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• pp.203-227
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• 2020

This article explores the influence of the king in the Joseon dynasty's document transmission system, focusing on some exceptional cases. According to the Joseon's law, the form of official documents depended on rank differences between receiver and sender. However, there were cases of not following the general principles such as Byungjo(兵曹), Seungjeongwon(承政院) and Kyujanggak(奎章閣). Byungjo was a ministry in charge of military administration. Seungjeongwon was a royal secretary institution which assisted the king and delivered king's orders that existed from the early Joseon. Kyujanggak was a royal library and an assistant institution of the king that was established in the JeongJo(正祖) era. Byungjo was regarded as a relatively high-ranking institution when it sent and received military-related documents. Seungjeongwon and Kyujanggak could use Kwanmoon(關文) to upper rank institution. Kwanmoon was the document form used for institutions of the same or lower rank than itself. Conversely, higher rank institutions used Cheobjeong(牒呈) which was stipulated as a document form to using upper rank institution in law to send them. The reason that they could have privileges in transmission document system was that Joseon had an administrative system centered on the king. Byungjo was an institution entrusted with military power from King. Seungjeonwon and Kyujanggak took charge of the assistance and the delivery of King's order. so they could have a different system of receiving and sending document than the others. In conclusion, the Joseon Dynasty operated exceptions in document administration based on the existence of the king, it means Joseon's transmission document system was basically operated under the Confucian bureaucracy with the king as its peak.

• Journal of the Korea institute for structural maintenance and inspection
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• v.21 no.5
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• pp.83-93
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• 2017

This study proposed the new weighting values and fault points of condition assessment items for reinforced earth retaining walls based on the combination the inspection data and hybrid weighting technique. Utilizing the inspection data of 161 reinforced earth retaining walls, multi regression analysis and entropy technique were applied to gain the weighting values of condition assessment items. In addition, the weighting values by AHP technique was analyzed based on the opinion of experts. By appling hybrid weighting technique to the calculated weighting values obtained by the individual technique, the new weighting values of condition assessment items were proposed, and the fault points and fault indices of reinforced earth retaining walls were proposed. Results showed that the rank of the weighting value of the condition evaluation items was fluctuated according to the multiple regression analysis, AHP technique, and entropy technique. There was no duplication of the rank of the weighting value while the current weighting value was overlapped. Specially, in the rsults of multi regression analysis, two condition assessment items were occupied 70% of the total weights. When the proposed weighting values were applied to existing reinforced earth retaining wall of 161, 16 reinforced earth retaining walls showed the increased risk rank and 31 represented the decreased risk rank.

• Journal of the Korea Society of Computer and Information
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• v.16 no.12
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• pp.23-31
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• 2011

The simple bacteria cooperative optimization (sBCO) algorithm that we developed as one of optimization algorithms has shown relatively good performances, but their performances were limited by step-by-step movement of individuals at a time. In order to solve this problem, we proposed a new method that assigned a speed to each individual according to its rank and it was confirmed that it improved the performances of sBCO in some degree. In addition to the assigning of speed to the individuals, we employed a new mutation operation that most existing evolutionary algorithms used in order to enhance the performances of sBCO in this paper. A specific percent of bad individuals are mutated within an area that is proportion to the rank of the individual in the mutation operation. That is, Gaussian noise of large standard deviation is added as the fitness of individuals is low. From this, the probability that the individuals with lower ranks can be located far from its parent will be increased. This causes that the probability of falling into local optimum areas is decreased and the probability of fast escaping the local optimum areas is increased. From experimental results with four function optimization problems, we showed that the performances of sBCO with mutation operation and individual speed were increased. If the optimization function is quite complex, however, the performances are not always better. We should devise a new method for solving this problem as a further work.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1349-1357
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• 2013

In clinical research, sample size determination is one of the most important things. There are parametric method using t-test and non-parametric method suggested by Kim and Kim (2007) based on Wilcoxon's rank sum test for determining sample size in non-inferiority trials. In this paper, we propose sample size calculation method based on placements method suggested by Orban and Wolfe (1982) and using the power calculated by Kim (1994) in non-inferiority trials. We also compare proposed sample size with that using Kim and Kim (2007)'s formula and that of t-test for parametric methods. As the result, sample size calculated by proposed method based on placements is the smallest. Therefore, proposed method based on placements is better than parametric methods in case that it's hard to assume specific distribution function for population and also more efficient in terms of time and cost than method based on Wilcoxon's rank sum test.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.5
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• pp.489-496
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• 2006

The random-based cleaning algorithm is a simple algorithm widely used in commercial vacuum cleaning robots. This algorithm has two limitations, that is, cleaning takes a long time and there is no guarantee that the cleaning will cover the whole cleaning area. This has lead to customer dissatisfaction. Thus, in recent years, many intelligent cleaning algorithms that takes into consideration information gathered from the cleaning area environment have been proposed. The plowing-based algorithm, which is the most efficient algorithm known to date when there are no obstacles in the cleaning area, has a deficiency that when obstacle prevail, its performance is not guaranteed. In this paper, we propose the Group-k algorithm that is efficient for that situation, that is, when obstacle prevail. The goal is not to complete the cleaning as soon as possible, but to clean the majority of the cleaning area as fast as possible. The motivation behind this is that areas close to obstacles are usually difficult for robots to handle, and hence, many require human assistance anyway In our approach, obstacles are grouped by the complexity of the obstacles, which we refer to as 'complex rank', and then decide the cleaning route based on this complex rank. Results from our simulation-based experiments show that although the cleaning completion time takes longer than the plowing-based algorithm, the Group-k algorithm cleans the majority of the cleaning area faster than the plowing algorithm.

• The Mathematical Education
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• v.62 no.3
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• pp.435-455
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• 2023

This study primarily focused on the development of an Explainable Artificial Intelligence (XAI) model to discern and analyze papers with significant impact in the field of mathematics education. To achieve this, meta-information from 29 domestic and international mathematics education journals was utilized to construct a comprehensive academic research network in mathematics education. This academic network was built by integrating five sub-networks: 'paper and its citation network', 'paper and author network', 'paper and journal network', 'co-authorship network', and 'author and affiliation network'. The Random Forest machine learning model was employed to evaluate the impact of individual papers within the mathematics education research network. The SHAP, an XAI model, was used to analyze the reasons behind the AI's assessment of impactful papers. Key features identified for determining impactful papers in the field of mathematics education through the XAI included 'paper network PageRank', 'changes in citations per paper', 'total citations', 'changes in the author's h-index', and 'citations per paper of the journal'. It became evident that papers, authors, and journals play significant roles when evaluating individual papers. When analyzing and comparing domestic and international mathematics education research, variations in these discernment patterns were observed. Notably, the significance of 'co-authorship network PageRank' was emphasized in domestic mathematics education research. The XAI model proposed in this study serves as a tool for determining the impact of papers using AI, providing researchers with strategic direction when writing papers. For instance, expanding the paper network, presenting at academic conferences, and activating the author network through co-authorship were identified as major elements enhancing the impact of a paper. Based on these findings, researchers can have a clear understanding of how their work is perceived and evaluated in academia and identify the key factors influencing these evaluations. This study offers a novel approach to evaluating the impact of mathematics education papers using an explainable AI model, traditionally a process that consumed significant time and resources. This approach not only presents a new paradigm that can be applied to evaluations in various academic fields beyond mathematics education but also is expected to substantially enhance the efficiency and effectiveness of research activities.

• Journal of the Korean Statistical Society
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• v.32 no.2
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• pp.151-162
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• 2003

In this paper, we propose two selection procedures for selecting populations better than a control population. The bestness is defined in terms of location parameter. One of the procedures is based on two-sample linear rank statistics whereas the other one is based on a comparatively simple statistic, and is useful when testing time is expensive so that an early termination of an experiment is desirable. The proposed selection procedures are seen to be strongly monotone. Performance of the proposed procedures is assessed through simulation study.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.7
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• pp.1543-1549
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• 1997

In this paper, rank-based nonparmetric detection of composite signals in additive noise is considered. Based on signs and ranks of observations, the locally optimum detector is deived for weak-signal detection under any specified noise probability density funhction. This detector has similarities to the locally optimum detector for comjposite signals in additive noise. The asymptotic performance of this nonparametric detector is shown to be as good as that of the locally optimum detector.