• Korean Journal of Family Welfare
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• v.23 no.4
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• pp.613-632
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• 2018

The purpose of this study is to review Chinese policy on internet game addiction, and understand the level of internet game addiction, anxiety, and life satisfaction levels, and examine how game addiction affects life satisfaction with anxiety as a medium among male university students in China. In order to achieve the goals of the study, a survey was conducted on 240 male university students in Harbin, China. The research results are as follows. First, the internet game addiction level of male university students was at a relatively low level. Only 2.9% scored over 36 points, the litmus test for the category of clinical criterion, whereas the majority belonged to the general user group. Meanwhile, anxiety was at an intermediate level, along with a relatively high level of life satisfaction. Next, internet game addiction showed a positive correlation with anxiety, and a negative correlation with life satisfaction level. A negative correlation was found between anxiety and life satisfaction level. Lastly, anxiety was found to play a complete mediation role, as a mediator variable between internet game addiction and life satisfaction level. Based on the above results, policy and practical suggestions are proposed to improve the mental health of university students and to prevent and treat game addiction within China.

• International Journal of Computer Science & Network Security
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• v.22 no.7
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• pp.85-90
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• 2022

In modern conditions of the development of public relations, there is a continuous development of technologies. This not only reflects the convenience of service users, and new technology but also contributes to the emergence of new disputes to protect the rights of stakeholders. Therefore, it is urgent to study the distinctions between the jurisdiction of commercial, civil and administrative courts in resolving IT disputes. The work aims to study the peculiarities of delimitation of the jurisdiction of commercial, civil, and administrative courts through the prism of IT measurement. The research methodology consists of such methods as a historical, comparative-legal, formal-logical, empirical, method of analogy, method of synthesis, method of analysis, and systematic method. Examining the specifics of delimiting the jurisdiction of commercial, civil, and administrative courts through the IT dimension, it was concluded that there is a problem in determining the jurisdiction of the court. In addition, the judicial practice on this issue is quite variable, which negatively affects the predictability of technology in resolving potential disputes. In this regard, the criterion models for distinguishing between commercial, administrative, and civil proceedings according to the legal classification of the parties, as well as the nature of the claim are identified. This separation will contribute to a more accurate application of legal norms and methods of application of administrative norms and reduce the number of cases of improper proceedings.

• Earthquakes and Structures
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• v.22 no.1
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• pp.15-23
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• 2022

One of the key tools in assessing the seismic vulnerability of the structures is the use of fragile functions, which is the possibility of damage from a particular damage surface for several levels of risk from the seismic movements of the earth. The aim of this study is to investigate the effect of two categories of earthquake events on the fragile curve (FRC) of the steel construction system. In this study, the relative lateral displacement of the structures is considered as a damage criterion. The limits set for modifying the relative lateral position in the HAZUS instruction are used to determine the failure modes, which include: slight, moderate, extensive and complete. The results show, as time strong-motion increases, the probability of exceeding (PoE) increases (for Peak ground acceleration (PGA) less than 0.5). The increase in seismic demand increases the probability of exceeding. In other words, it increases the probability of exceeding, if the maximum earthquake acceleration increases. Also, 7-storey model in extensive mode has 20 and 26.5% PoE larger than 5- and 3-storey models, respectively.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.95-108
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• 2011

TThis is a study of the personalization method that intelligently adapts the level of clustering considering purchasing index of a customer. In the e-biz era, many companies gather customers' demographic and transactional information such as age, gender, purchasing date and product category. They use this information to predict customer's preferences or purchasing patterns so that they can provide more customized services to their customers. The previous Customer-Segmentation method provides customized services for each customer group. This method clusters a whole customer set into different groups based on their similarity and builds predictive models for the resulting groups. Thus, it can manage the number of predictive models and also provide more data for the customers who do not have enough data to build a good predictive model by using the data of other similar customers. However, this method often fails to provide highly personalized services to each customer, which is especially important to VIP customers. Furthermore, it clusters the customers who already have a considerable amount of data as well as the customers who only have small amount of data, which causes to increase computational cost unnecessarily without significant performance improvement. The other conventional method called 1-to-1 method provides more customized services than the Customer-Segmentation method for each individual customer since the predictive model are built using only the data for the individual customer. This method not only provides highly personalized services but also builds a relatively simple and less costly model that satisfies with each customer. However, the 1-to-1 method has a limitation that it does not produce a good predictive model when a customer has only a few numbers of data. In other words, if a customer has insufficient number of transactional data then the performance rate of this method deteriorate. In order to overcome the limitations of these two conventional methods, we suggested the new method called Intelligent Customer Segmentation method that provides adaptive personalized services according to the customer's purchasing index. The suggested method clusters customers according to their purchasing index, so that the prediction for the less purchasing customers are based on the data in more intensively clustered groups, and for the VIP customers, who already have a considerable amount of data, clustered to a much lesser extent or not clustered at all. The main idea of this method is that applying clustering technique when the number of transactional data of the target customer is less than the predefined criterion data size. In order to find this criterion number, we suggest the algorithm called sliding window correlation analysis in this study. The algorithm purposes to find the transactional data size that the performance of the 1-to-1 method is radically decreased due to the data sparity. After finding this criterion data size, we apply the conventional 1-to-1 method for the customers who have more data than the criterion and apply clustering technique who have less than this amount until they can use at least the predefined criterion amount of data for model building processes. We apply the two conventional methods and the newly suggested method to Neilsen's beverage purchasing data to predict the purchasing amounts of the customers and the purchasing categories. We use two data mining techniques (Support Vector Machine and Linear Regression) and two types of performance measures (MAE and RMSE) in order to predict two dependent variables as aforementioned. The results show that the suggested Intelligent Customer Segmentation method can outperform the conventional 1-to-1 method in many cases and produces the same level of performances compare with the Customer-Segmentation method spending much less computational cost.

• Korean Journal of Plant Taxonomy
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• v.36 no.4
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• pp.335-360
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• 2006

The distribution on 88 taxa of wild orchids in the Korean Peninsula was investigated by the examinations of specimens and the distribution maps were presented. The species numbers distributed at each eight floral regions in the Korean Peninsula are as the followings; Gapsan Province 27 taxa, Gwanbuk 21, Gwanseo 13, Middle 37, South 39, Southern-coast 33, Jeju 64 and Ulleung 19. Most species (72.7%) of Korean wild orchids are found in the Jeju Island. Eighteen taxa of them are restricted to the island in the Korean Peninsula. Among Korean species, 30 taxa grow at evergreen broad-leaved forests, and 16 are northern elements distributed at high mountains or northern part. In terms of distribution, the Korean wild orchid species are classified into IUCN Red List Categories by a modified criterion for Korean plants. No orchid species included EX or EW categories is found in the Korean Peninsula. Ten species are designated to be in CR category; Cymbidium kanran, C. lancifolium, C. ensifolium, Cypripedium japonicum, Cyrtosia septentrionalis, Dendrobium moniliforme, Habenaria chejuensis, H. radiata, Neofinetia falcata and Sedirea japonica, of which C. ensifolium and H. chejuensis are regarded as CR species for the first time. On the other hand, 22 taxa are classified into EN category, and the following nine taxa are newly proposed to be EN species; Gastrochilus japonicum, G. fuscopunctatus, Gastrodia verrucosa, Habenaria flagellifera, Herminium lanceum var. longicrure, Chamaegastrodia sikokiana, Lecanorchis kiusiana, Neottia hypocastanoptica and Tipularia japonica.

• Journal of the Korean Society of Radiology
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• v.83 no.2
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• pp.331-343
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• 2022

Purpose To systematically compare the performance of liver imaging reporting and data system treatment response (LR-TR) with the modified Response Evaluation Criteria in Solid Tumors (mRECIST) for diagnosing viable hepatocellular carcinoma (HCC) treated with locoregional therapy (LRT). Materials and Methods Original studies of intra-individual comparisons between the diagnostic performance of LR-TR and mRECIST using dynamic contrast-enhanced CT or MRI were searched in MEDLINE and EMBASE, up to August 25, 2021. The reference standard for tumor viability was surgical pathology. The meta-analytic pooled sensitivity and specificity of the viable category using each criterion were calculated using a bivariate random-effects model and compared using bivariate meta-regression. Results For five eligible studies (430 patients with 631 treated observations), the pooled per-lesion sensitivities and specificities were 58% (95% confidence interval [CI], 45%-70%) and 93% (95% CI, 88%-96%) for the LR-TR viable category and 56% (95% CI, 42%-69%) and 86% (95% CI, 72%-94%) for the mRECIST viable category, respectively. The LR-TR viable category provided significantly higher pooled specificity (p < 0.01) than the mRECIST but comparable pooled sensitivity (p = 0.53). Conclusion The LR-TR algorithm demonstrated better specificity than mRECIST, without a significant difference in sensitivity for the diagnosis of pathologically viable HCC after LRT.

• Korean Journal of Poultry Science
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• v.36 no.3
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• pp.239-246
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• 2009

Animal welfare is of considerable importance to European consumers and citizens, this being most recently confirmed in EU barometer studies. Researchers and others have long proposed that animal-based measures (measures taken on animals, e.g. their health and behaviour) can provide a valid indicator of animal welfare; since welfare is a characteristic of the individual animal. Therefore, a welfare assessment can be essentially based on animal-based measures, but with use of resource measures to provide the capacity to assess 'risk factors'. The first goal of this project was to develop a welfare monitoring system that enables assessment of welfare status through standardised conversion of welfare measures into accessible and understandable information. The acquired information on one hand provides feedback to animal unit managers about the welfare status of their animals, and on the other, information on the welfare status of animal-related products for consumers and retailers. The second goal of Welfare $Quality^{(R)}$ was to improve animal welfare by minimising the occurrence of harmful behavioural and physiological states, improving human-animal relationships, and providing animals with safe and stimulating environments. The different measurable aspects of welfare to be covered are turned into welfare criteria. The criteria reflect what is meaningful to animals as understood by animal welfare science. Once all the measures have been performed on an animal unit, a bottom-up approach is followed to produce an overall assessment of animal welfare on that particular unit: first the data collected (i.e. values obtained for the different measures on the animal unit) are combined to calculate criterion-scores; then criterion-scores are combined to calculate principle-scores; and finally the animal unit is assigned to a welfare category according to the principle-scores it obtained.

• The korean journal of orthodontics
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• v.46 no.4
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• pp.199-211
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• 2016

Objective: Given the considerable disagreement between the Peer Assessment Rating (PAR) index and the American Board of Orthodontics Cast-Radiograph Evaluation, we aimed to develop a novel assessment system-the Improvement and Completion of Outcome (ICO) index-to evaluate the outcome of orthodontic treatment. Methods: Sixteen criteria from 4 major categories were established to represent the pretreatment malocclusion status, as well as the degree of improvement and level of completion of outcome during/after treatment: dental relationship (arch length discrepancy, irregularity, U1-SN, and IMPA); anteroposterior relationship (overjet, right and left molar position, ANB); vertical relationship (anterior overbite, anterior open-bite, lateral open-bite, SN-MP); and transverse relationship (dental midline discrepancy, chin point deviation, posterior cross-bite, occlusal plane cant). The score for each criterion was defined from 0 or -1 (worst) to 5 (ideal value or normal occlusion) in gradations of 1. The sum of the scores in each category indicates the area and extent of the problems. Improvement and completion percentages were estimated based on the pre- and post-treatment total scores and the maximum total score. If the completion percentage exceeded 80%, treatment outcome was considered successful. Results: Two cases, Class I malocclusion and skeletal Class III malocclusion, are presented to represent the assessment procedure using the ICO index. The difference in the level of improvement and completion of treatment outcome can be clearly explained by using 2 percentage values. Conclusions: Thus, the ICO index enables the evaluation of the quality of orthodontic treatment objectively and consecutively throughout the entire treatment process.

• Journal of Intelligence and Information Systems
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• v.11 no.1
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• pp.169-189
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• 2005

In order to derive a better classifier with a limited number of training examples, active teaming alternately repeats the querying stage fur category labeling and the subsequent learning stage fur rebuilding the calssifier with the newly expanded training set. To relieve the user from the burden of labeling, especially in an on-line environment, it is important to minimize the number of querying steps as well as the total number of query examples. We can derive a good classifier in a small number of querying steps by using only a small number of examples if we can select multiple of diverse, representative, and ambiguous examples to present to the user at each querying step. In this paper, we propose a cluster-based batch query selection method which can select diverse, representative, and highly ambiguous examples for efficient active learning. Experiments with various text data sets have shown that our method can derive a better classifier than other methods which only take into account the ambiguity as the criterion to select multiple query examples.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.4
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• pp.89-99
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• 2008

In Korea, currently 10 local governments have completed the construction of the 3D Land Geospatial Information, since the pilot project started in 2004 and many other local governments are additionally constructing the 3D Land Geospatial Information. Technical Guidance for the 3D Land Geospatial Information has made out the construction methodology and concept of the ordinances in 2006 by the basis of the research results of the pilot project for the 3D Geospatial Information construction in 2005. But the result that applied the existing 3D Land Geospatial Information of the local governments, many problems rearing up on the methods and expression accuracy of the 3D Land Geospatial Information. This research analyzed and derived problems of established guideline for the zero-defects construction of the 3D Land Geospatial Information and it is aim at the present standardized criterion of the reestablished and method of the 3D Geospatial Information construction items. Improvement scheme of the 3D Land Geospatial Information is considered to be contribute to the standardized good quality of 3D Land Geospatial Information construction and its application.