• Journal of Environmental Impact Assessment
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• v.25 no.6
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• pp.402-413
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• 2016

Marine oil spill accidents are occurring continuously due to the marine transportation of the oil. While building a preventive system for oil spill is uttermost necessary, we also need to have a systematic response system to handle the oil spills that inevitably occur. So far, studies have focused on the environmentally sensitive resources affected by oil spills. However, there is a need to conduct research to evaluate the damage to the socially and economically sensitive resources that make up the life of local residents. This study represents the process of building an analytical framework for the assessment of socioeconomic resources affected by marine oil spills. While it is important to provide a scheme for identification and indexation of socially and economically sensitive resources that is compatible with Korea's situations, using existing data for identifying socio-economically sensitive resources might also be meaningful. However, to allow accurate analysis for better evaluation, we need to select more applicable data among the various indicators. In this research, we have reviewed many existing case studies of sensitive resources, studies of the variables that have been used for indexing sensitive resources, and various factors considered in SIA (Social Impact Assessment). Based on the findings, we classify socio-economically sensitive resources into marine products acquisition, population, land usage, administrative area, and cultural heritage and tourist region.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.20 no.1
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• pp.65-73
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• 2007

In the inverse perturbation method, enormous computational resource was required to obtain reliable results, because all unspecified DOFs were considered as unknown variables. Thus, in the present study, a reduced system method is used to condense the unspecified DOFs by using the specified DOFs, and to improve the computational efficiency as well as the solution accuracy. In most of the conventional reduction methods, transformation errors occur in the transformation matrix between the unspecified DOFs and the specified DOFs. Thus it is hard to obtain reliable and accurate solution of inverse perturbation problems by reduction methods due to the error in the transformation matrix. This numerical trouble is resolved in the present study by adopting iterative improved reduced system(IIRS) as well as by updating the transformation matrix at every step. In this reduction method, system accuracy is related to the selection of the primary DOFs and Iteration time. And both are dependent to each other So, the two level condensation method (TLCS) is selected as Selection method of primary DOFs for increasing accuracy and reducing iteration time. Finally, numerical verification results of the present iterative inverse perturbation method (IIPM) are presented.

• Journal of Intelligence and Information Systems
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• v.27 no.3
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• pp.57-73
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• 2021

Maintenance and prevention of failure through anomaly detection of ICT infrastructure is becoming important. System monitoring data is multidimensional time series data. When we deal with multidimensional time series data, we have difficulty in considering both characteristics of multidimensional data and characteristics of time series data. When dealing with multidimensional data, correlation between variables should be considered. Existing methods such as probability and linear base, distance base, etc. are degraded due to limitations called the curse of dimensions. In addition, time series data is preprocessed by applying sliding window technique and time series decomposition for self-correlation analysis. These techniques are the cause of increasing the dimension of data, so it is necessary to supplement them. The anomaly detection field is an old research field, and statistical methods and regression analysis were used in the early days. Currently, there are active studies to apply machine learning and artificial neural network technology to this field. Statistically based methods are difficult to apply when data is non-homogeneous, and do not detect local outliers well. The regression analysis method compares the predictive value and the actual value after learning the regression formula based on the parametric statistics and it detects abnormality. Anomaly detection using regression analysis has the disadvantage that the performance is lowered when the model is not solid and the noise or outliers of the data are included. There is a restriction that learning data with noise or outliers should be used. The autoencoder using artificial neural networks is learned to output as similar as possible to input data. It has many advantages compared to existing probability and linear model, cluster analysis, and map learning. It can be applied to data that does not satisfy probability distribution or linear assumption. In addition, it is possible to learn non-mapping without label data for teaching. However, there is a limitation of local outlier identification of multidimensional data in anomaly detection, and there is a problem that the dimension of data is greatly increased due to the characteristics of time series data. In this study, we propose a CMAE (Conditional Multimodal Autoencoder) that enhances the performance of anomaly detection by considering local outliers and time series characteristics. First, we applied Multimodal Autoencoder (MAE) to improve the limitations of local outlier identification of multidimensional data. Multimodals are commonly used to learn different types of inputs, such as voice and image. The different modal shares the bottleneck effect of Autoencoder and it learns correlation. In addition, CAE (Conditional Autoencoder) was used to learn the characteristics of time series data effectively without increasing the dimension of data. In general, conditional input mainly uses category variables, but in this study, time was used as a condition to learn periodicity. The CMAE model proposed in this paper was verified by comparing with the Unimodal Autoencoder (UAE) and Multi-modal Autoencoder (MAE). The restoration performance of Autoencoder for 41 variables was confirmed in the proposed model and the comparison model. The restoration performance is different by variables, and the restoration is normally well operated because the loss value is small for Memory, Disk, and Network modals in all three Autoencoder models. The process modal did not show a significant difference in all three models, and the CPU modal showed excellent performance in CMAE. ROC curve was prepared for the evaluation of anomaly detection performance in the proposed model and the comparison model, and AUC, accuracy, precision, recall, and F1-score were compared. In all indicators, the performance was shown in the order of CMAE, MAE, and AE. Especially, the reproduction rate was 0.9828 for CMAE, which can be confirmed to detect almost most of the abnormalities. The accuracy of the model was also improved and 87.12%, and the F1-score was 0.8883, which is considered to be suitable for anomaly detection. In practical aspect, the proposed model has an additional advantage in addition to performance improvement. The use of techniques such as time series decomposition and sliding windows has the disadvantage of managing unnecessary procedures; and their dimensional increase can cause a decrease in the computational speed in inference.The proposed model has characteristics that are easy to apply to practical tasks such as inference speed and model management.

• Journal of the Korea Convergence Society
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• v.11 no.1
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• pp.221-235
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• 2020

This study identified the latent groups according to smartphone addiction tendency and examined the factors affecting the latent group identification. The best-fitting LCA solution had three classes. The first group was 'non-academic stressed group, immersed in smartphone' It was characterized low scores on academic stress and average scores on smartphone addiction tendency. The second group was 'medium level academic stressed group, immersed in smartphone' which scored slightly above average in academic stress and smartphone addiction tendency. The third group was 'medium level academic stressed group, non-immersed in smartphone'. It showed higher scores than average in academic stress, but students with far lower scores in smartphone addiction tendency. Logistic analysis result showed that gender and grade were significant. This study is meaningful in analyzing academic related variable(academic stress) and mental health related variable(smartphone addiction tendency) to classify the groups according to patterns between the two variables and suggest appropriate intervention for each group in a convergence way.

• Journal of Ecology and Environment
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• v.46 no.4
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• pp.316-323
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• 2022

Background: We developed a habitat suitability index (HSI) model for Pedicularis hallaisanensis, a Grade II Endangered Species in South Korea. To determine the habitat variables, we conducted a literature review on P. hallaisanensis with a specific focus on the associated spatial factors, climate, topography, threats, and soil factors to derive five environmental factors that influence P. hallaisanensis habitats. The specific variables were defined based on the collected data and consultations with experts in the field, with the validity of each variable tested through field studies. Results: Mt. Seorak had a suitable habitat area of 2.48 km² for sites with a score of 1 (0.62% of total area) and 0.01 km² for sites with a score of 0.9. Mt. Bangtae had a suitable habitat area of 0.03 km² for sites with a score of 1 (0.02% of total area) and 0 km² for sites with a score of 0.9. Mt. Gaya showed 0.13 km² of suitable habitat for sites with a score of 1 (0.17% of total area) and 0 km² for sites with a score of 0.9. Lastly, Mt. Halla showed 3.12 km² of suitable habitat related to sites with a score of 1 (2.04% of total area) and 4.08 km² of sites with a score of 0.9 (2.66% of total area). Mt. Halla accounts for 73.1% of the total core habitat area. Considering the climatic, soil, and forest conditions together with standardized collection sites, our results indicate that Mt. Halla should be viewed as a core habitat of P. hallaisanensis. Conclusions: The findings in this study provide useful data for the identification of core habitat areas and potential alternative habitats to prevent the extinction of the endangered species, P. hallaisanensis. Furthermore, the developed HSI model allows for the prediction of suitable habitats based on the ecological niche of a given species to identify its unique distribution and causal factors.

• Asia pacific journal of information systems
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• v.18 no.3
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• pp.147-165
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• 2008

IT education can be summarized as persuading the educatee to accept IT. The persuasion is made by delivering the messages for how-to-use and where-to-use to the educatee, which leads formulation of a belief structure for using IT. Therefore, message based persuasion theory, as well as IT acceptance theories such as technology acceptance model(TAM), would play a very important role for explaining IT education. According to elaboration likelihood model(ELM) that has been considered as one of the most influential persuasion theories, people change attitude or perception by two routes, central route and peripheral route. In central route, people would think critically about issue-related arguments in an informational message. In peripheral route, subjects rely on cues regarding the target behavior with less cognitive efforts. Moreover, such persuasion process is not a one-shot program but continuous repetition with feedbacks, which leads to changing a belief structure for using IT. An educatee would get more knowledge and experiences of using IT as following an education program, and be more dependent on a central route than a peripheral route. Such change would reformulate a belief structure which is different from the intial one. The objectives of this study are the following two: First, an identification of the relationship between ELM and belief structures for using IT. Especially, we analyze the effects of message interpretation through both of central and peripheral routes on perceived usefulness which is an important explaining variable in TAM and perceived use control which have perceived ease of use and perceived controllability as sub-dimensions. Second, a longitudinal analysis of the above effects. In other words, change of the relationship between interpretation of message delivered by IT education and beliefs of IT using is analyzed longitudinally. For achievement of our objectives, we suggest a research model, which is constructed as three-layered. While first layer has a dependent variable, use intention, second one has perceived usefulness and perceived use control that has two sub-concepts, perceived ease of use and perceived controllability. Finally, third one is related with two routes in ELM, source credibility and argument quality which are operationalization of peripheral route and central route respectively. By these variables, we suggest five hypotheses. In addition to relationship among variables, we suggest two additional hypotheses, moderation effects of time in the relationships between perceived usefulness and two routes. That is, source credibility's influence on perceived usefulness is decreased as time flows, and argument quality's influence is increased. For validation of it, our research model is tested empirically. With measurements which have been validated in the other studies, we survey students in an Excel class two times for longitudinal analysis. Data Analysis is done by partial least square(PLS), which is known as an appropriate approach for multi-group comparison analysis with a small sized sample as like this study. In result. all hypotheses are statistically supported. One of theoretical contributions in this study is an analysis of IT education based on ELM and TAM which are considered as important theories in psychology and IS theories respectively. A longitudinal analysis by comparison between two surveys based on PLS is also considered as a methodological contribution. In practice, finding the importance of peripheral route in early stage of IT education should be notable.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.36 no.1
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• pp.1-6
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• 2014

Purpose: This study was designed for identification of the main clinicopathological features of cysts in the oral and maxillofacial regions. Methods: A retrospective observational study was conducted on 164 patients who had been diagnosed with cyst of the jaw, from the database of 168 histopathological diagnoses at the Department of Oral and Maxillofacial Surgery of Busan Paik Hospital at Inje University, from January 2009 to December 2011. The subjects were treated and the following variables were recorded: gender, age, clinical signs and symptoms, histopathological distribution, treatment methods, and complications. A descriptive analysis of the study variables was performed using a chi-square test. Results: Among the 164 patients, there were more male than female patients (male-female ratio: 1.7:1). The most predominant ages were the 20s and 40s. Among the classes of pathological cysts, radicular cysts and dentigerous cysts were the most common, with incidences of 56.0% and 35.1%. Thirty-six percent of the patients had no symptoms; and of those who had symptoms, the main signs and symptoms were swelling (24.4%) and pain (17.1%). The most frequent management method was the combination operation, such as enucleation with or without extraction and apicoectomy of the causative teeth. Of the 164 patients, 13 had complications; and one patient who had been treated with enucleation with apicoectomy had a recurrent cyst. Conclusion: Using a chi-square test, no significant differences in prevalence were observed in relation to gender according to age. Comparative analysis of radicular and dentigerous cysts showed a significant difference in their prevalence according to their anatomical location, however, no significant differences in were observed in their incidence rates according to age.

• Korean Journal of Radiology
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• v.23 no.4
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• pp.466-478
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• 2022

Objective: ¹⁸F-fluorodeoxyglucose (FDG) PET/CT is often used for detecting malignancy in patients with newly diagnosed hemophagocytic lymphohistiocytosis (HLH), with acceptable sensitivity but relatively low specificity. The aim of this study was to improve the diagnostic ability of ¹⁸F-FDG PET/CT in identifying malignancy in patients with HLH by combining ¹⁸F-FDG PET/CT and clinical parameters. Materials and Methods: Ninety-seven patients (age ≥ 14 years) with secondary HLH were retrospectively reviewed and divided into the derivation (n = 71) and validation (n = 26) cohorts according to admission time. In the derivation cohort, 22 patients had malignancy-associated HLH (M-HLH) and 49 patients had non-malignancy-associated HLH (NM-HLH). Data on pretreatment ¹⁸F-FDG PET/CT and laboratory results were collected. The variables were analyzed using the Mann-Whitney U test or Pearson's chi-square test, and a nomogram for predicting M-HLH was constructed using multivariable binary logistic regression. The predictors were also ranked using decision-tree analysis. The nomogram and decision tree were validated in the validation cohort (10 patients with M-HLH and 16 patients with NM-HLH). Results: The ratio of the maximal standardized uptake value (SUVmax) of the lymph nodes to that of the mediastinum, the ratio of the SUVmax of bone lesions or bone marrow to that of the mediastinum, and age were selected for constructing the model. The nomogram showed good performance in predicting M-HLH in the validation cohort, with an area under the receiver operating characteristic curve of 0.875 (95% confidence interval, 0.686-0.971). At an appropriate cutoff value, the sensitivity and specificity for identifying M-HLH were 90% (9/10) and 68.8% (11/16), respectively. The decision tree integrating the same variables showed 70% (7/10) sensitivity and 93.8% (15/16) specificity for identifying M-HLH. In comparison, visual analysis of ¹⁸F-FDG PET/CT images demonstrated 100% (10/10) sensitivity and 12.5% (2/16) specificity. Conclusion: ¹⁸F-FDG PET/CT may be a practical technique for identifying M-HLH. The model constructed using ¹⁸F-FDG PET/CT features and age was able to detect malignancy with better accuracy than visual analysis of ¹⁸F-FDG PET/CT images.

• Ocean and Polar Research
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• v.41 no.3
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• pp.169-181
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• 2019

The purpose of this study is to develop geochemical tracers to identify a specific source desert of mineral dust in China using the published data. In addition, we tested the applicability of these tracers to wet-deposits and soil samples collected in Jeju, Korea. Because of similarity in trace elemental compositions of mineral dust from the major arid regions in China, such as Taklimakan, West Ordos (Badain Jaran), East Ordos (Mu Us and Hobq), East Northern China (Horqin), West Northern China (Gurbantunggut), and Chinese Loess Plateau, there has been limited to the use of geochemical data for source identification. Here we propose the four (4) plots using combination of seven (7) geochemical variables as a source indicator to distinguish one from other source regions in China: $\frac{Y}{Tb_N}$ vs. $\frac{Th}{{\Sigma}REE_N}$, $\(\frac{La}{Gd}\)_N$ vs. $\frac{Y}{{\Sigma}REE_N}$, $\frac{Th}{Tb_N}$ vs. $\frac{Y}{Nd_N}$, and $\frac{Th}{Tb_N}$ vs. $\(\frac{Ce}{Ce}\)_N^*$, where $_N$ and $\(\frac{Ce}{Ce}\)_N^*$ stand for values normalized to Post-Archean Average Shale composition and Ce anomaly, respectively. Mineral dusts from aforementioned six major deserts are distinguished one from the others by the combined use of these variables. Jeju rock and soil samples form a separate domain from Chinese mineral dusts in all four plots. In contrast, most of Jeju dust samples were comparable with the West Ordos desert (Badain Jaran) domain, indicative of strong influence of Badain Jaran dust in Jeju in spring season when the mineral dust was collected. A weak positive Ce anomaly in Jeju samples implies minimal local contribution. Our study suggests that the combination of $\frac{Y}{Tb_N}$ vs. $\frac{Th}{{\Sigma}REE_N}$, $\(\frac{La}{Gd}\)_N$ vs. $\frac{Y}{{\Sigma}REE_N}$, $\frac{Th}{Tb_N}$ vs. $\frac{Y}{Nd_N}$, and $\frac{Th}{Tb_N}$ vs. $\(\frac{Ce}{Ce}\)_N^*$ can be used to identify a specific source region of mineral dust in China as well as Jeju mineral particles.

• 모자간호학회지
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• v.2 no.1
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• pp.5-20
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• 1992

This study was undertaken to identify the levels and affecting factors of the maternal role attainment(MRA) in the primipara during the postpartum period. The healthy ninety primiparous from the one university hospital and two local clinics in KwangJu city were selected and two Semantic Differential Scales (SD-Myself as Mothers, SD-My Baby) and the Pharis Self Confidence Scale were used in this study. Questionnaires were distributed at the 3rd days and the 4-6 weeks of the primiparous not showing any complication after normal delivery. The data collected were analysed statistically using t-test, Pearson's Product Moment Correlation Coefficient and ANOVA. The results obtained were summarized as follows; 1) On the 3rd day after the delivery, the scores of SD-myself as mother, SD-baby and Pharis Self Confidence were 70.6 points, 73.6 points and 78.6 points, respectively, showing the low level of MRA. 2) On the 4-6 weeks after delivery, the score of SD-myself as mother, SD-baby and Pharis Self Confidence were 72.8 points, 77.9 points, and 86.9 points, respectively, indicating the moderate level of MRA. 3) The mean scores of the SD scale and the Pharis Self Confidence during the postpartum periods were higher than those of the 3rd days, showing the SD-myself as mother (t=-2.09, P<.05), SD-baby(t=-4.12, P<.001), Pharis Self Confidence(t=-6.59, P<.001), respectively. 4) Positive correlations (r=.24$\sim$.69) were shown in the concepts related to the MRA and the cognitive-motor skill components and cognitive-affective skill components of the MRA became harmonious over time. 5) The relationships between the score of the MRA and the demographic and obstetric variables were as follows ; a) the score of the MRA in the twenties was higher than those of the thirties. b) the group with higher educational background showed higher MRA socres than the group with lower one. c) those who wanted pregnancy sustenance had higher MRA scores than those who did not. d) the group that did think of festus-feature represented higher MRA scores than those who did not. e) the group of mothers who have the daughters showed higher MRA scores than those who have boys. It can be concluded from the results that the MRA in the primiparous increased gradually, and that the cognitive-motor skills and cognitive-affective skills became harmonious over time. The level of the MRA was affected partly by the mothers general, obstetrical variables. Following suggestion were made oil the basis of the present study ; a) The longitudinal study on the MRA is needed. b) Multivariate analyses should be done for the identification of the factors influcening on the MRA. c) Education program for primiparous mother should be designed and developed to improve the MRA.