• Journal of Intelligence and Information Systems
• /
• v.19 no.2
• /
• pp.55-71
• /
• 2013

The prediction model is the main factor affecting the performance of a knowledge-based system for bankruptcy prediction. Earlier studies on prediction modeling have focused on the building of a single best model using statistical and artificial intelligence techniques. However, since the mid-1980s, integration of multiple techniques (hybrid techniques) and, by extension, combinations of the outputs of several models (ensemble techniques) have, according to the experimental results, generally outperformed individual models. An ensemble is a technique that constructs a set of multiple models, combines their outputs, and produces one final prediction. The way in which the outputs of ensemble members are combined is one of the important issues affecting prediction accuracy. A variety of combination schemes have been proposed in order to improve prediction performance in ensembles. Each combination scheme has advantages and limitations, and can be influenced by domain and circumstance. Accordingly, decisions on the most appropriate combination scheme in a given domain and contingency are very difficult. This paper proposes a confidence-based selection approach as part of an ensemble bankruptcy-prediction scheme that can measure unified confidence, even if ensemble members produce different types of continuous-valued outputs. The present experimental results show that when varying the number of models to combine, according to the creation type of ensemble members, the proposed combination method offers the best performance in the ensemble having the largest number of models, even when compared with the methods most often employed in bankruptcy prediction.

• Journal of radiological science and technology
• /
• v.21 no.1
• /
• pp.52-58
• /
• 1998

We can and must improve the diagnostic images using available knowledge and technology. At the same time we must strive to reduce the patient's integral and entrance radiation dose. Reducing the integral dose to the patient during the radiologic procedure is a primary concern of the patient, especially the pediatric patient, the radiologist and the technologist. A 100cm focal film distance generally is used for most over-table radiography. The early x-ray tubes and screen film combinations required long exposures, which often resulted in motion artifacts. But nowaday, we have the generators and x-ray tubes that can deliver the energy necessary in a very short time and the receptors that can record the information just as rapidly. And, we performed this studies to evaluate the patient exposure dose and the image quality by increasing focal film distance in diagnostic radiography. There are many factors which affected to exposure factor, but we studied to verify of FFD increase, only. Effect of increasing the focal film distance to a 140 cm distance was tested as follows; 1. The focal film distances were set at 100, 120, and 140cm. 2. A 18cm acryl(tissue equivalent) phantom was placed on the table top. 3. An Capintec 192 electrometer with PM 05 ion chamber was placed at the entrance surface of the phantom, and exposure were made at each focal film distances. 4. The procedure was repeated in the same manner as above except the ion chamber was placed beneath the phantom at the film plane. 5. Exit exposure were normalize to 8mR for each portions of the experiment. Based on the success of the empirical measurements, a detailed mathematical analysis of the dose reduction was performed using the percent depth dose data. The results of this study can be summerized as followings ; 1) Increasing FFD from 100 cm to 140 cm, we would create a situation that would have a significant effect on the overall quality of radiograph and achive the 17.42% reduction of entrance dose and the 18.95% reduction of integral dose that the patient receives. 2) Thickness of Al step wedge for equal film density increased with the long distance. 3) Increasing FFD, Magnification of image was lowered. 4) Resolution of image also increased with the FFD. As the results described above, we strongly recommend using the long FFD to provide better information for our patients and profession in abdomen radiographic studies.

• Korean Journal of Social Welfare Studies
• /
• v.49 no.3
• /
• pp.209-245
• /
• 2018

In this study, various performance types, the combinations of the performance types for growth were investigated to suggest viable policy recommendations for the sustainable growth of social enterprises. The data of the economic and social performance of social enterprises from 2011 to 2016 were obtained and the changes were investigated. Among total of 235 social enterprises that participated in Cho et al, 2011, the research subjects were 164 social enterprises, which were still being operated in March, 2018. The performance of 6 years, since 2011, was surveyed, and total of 104(recovery factor: 69.8%) of social enterprises were analyzed using the growth mixture model, cross tabulation. First of the results, the latent trajectory classes of sales, which are of economic performance, were investigated through the analysis of growth mixture model. The optimal model including three latent classes was adopted. The three latent classes were named as 'mature sales type', 'growing sales type', and 'average sales type'. Second, the latent trajectory classes of employment rate, which are of social performance, were investigated. The optimal model including three latent classes was adopted. The three latent classes were named as 'average employment type', 'declining employment type', and 'increasing employment type'. Third, cluster in $3{\times}3$ tabulation, which is a distribution of the latent trajectory classes of social performance based on the latent trajectory classes of economic performance of social enterprises, was looked into.

• Pediatric Gastroenterology, Hepatology & Nutrition
• /
• v.22 no.4
• /
• pp.303-329
• /
• 2019

Intestinal failure (IF) is the critical reduction of the gut mass or its function below the minimum needed to absorb nutrients and fluids required for adequate growth in children. Severe IF requires parenteral nutrition (PN). Pediatric IF is most commonly due to congenital or neonatal intestinal diseases or malformations divided into 3 groups: 1) reduced intestinal length and consequently reduced absorptive surface, such as in short bowel syndrome (SBS) or extensive aganglionosis; 2) abnormal development of the intestinal mucosa such as congenital diseases of enterocyte development; 3) extensive motility dysfunction such as chronic intestinal pseudo-obstruction syndromes. The leading cause of IF in childhood is the SBS. In clinical practice the degree of IF may be indirectly measured by the level of PN required for normal or catch up growth. Other indicators such as serum citrulline have not proven to be highly reliable prognostic factors in children. The last decades have allowed the development of highly sophisticated nutrient solutions consisting of optimal combinations of macronutrients and micronutrients as well as guidelines, promoting PN as a safe and efficient feeding technique. However, IF that requires long-term PN may be associated with various complications including infections, growth failure, metabolic disorders, and bone disease. IF Associated Liver Disease may be a limiting factor. However, changes in the global management of IF pediatric patients, especially since the setup of intestinal rehabilitation centres did change the prognosis thus limiting "nutritional failure" which is considered as a major indication for intestinal transplantation (ITx) or combined liver-ITx.

• Journal of Applied Biological Chemistry
• /
• v.62 no.3
• /
• pp.229-237
• /
• 2019

More effective treatments are needed for non-alcoholic fatty liver disease (NAFLD). We hypothesized that water extracts of blackberry fruits (BF) and leaves (BL) and their combinations (BFL) reduce fat deposition in HepG2 cells and modulate shor-tchain fatty acids (SCFA) and fecal bacteria in vitro. HepG2 cells were treated with BF, BL, BFL1:2, and BFL1:3 for 1 h, and 0.5 mM palmitate was added to the cells. Moreover, low ($30{\mu}g/mL$) and high doses ($90{\mu}g/mL$) of BL and BF were applied to fecal bacteria in vitro, and SCFA was measured by GC. BL, BF, BFL1:2, and BFL1:3 reduced triglyceride deposition in the cells in a dose-dependent manner, and BFL1:2 and BFL1:3 had a stronger effect than BF. The content of malondialdehyde, an index of oxidative stress, was also reduced in BL, BF, and BFL1:2 with increasing superoxide dismutase and glutathione peroxidase activities. The mRNA expression of acetyl CoA carboxylase, fatty acid synthase, and sterol regulatory element-binding protein-1c was reduced in BL, BF, BFL1:2, and BFL1:3 compared to the control, and BFL1:2 had the strongest effect. By contrast, the carnitine palmitolytransferase-1expression, a regulator of fatty acid oxidation, increased mostly in BFL1:2 and BFL1:3. Tumor necrosis factor-${\alpha}$ and interleukin-$1{\beta}$ expression was reduced in BL compared to that in BF and BFL1:2 in HepG2 cells. Interestingly, BL increased propionate production, and BF increased butyrate and propionate production and increased total SCFA content in fecal incubation. BF increased the contents of Bifidobacteriales and Lactobacillales and decreased those of Clostridiales, whereas BL elevated the contents of Bacteroidales and decreased those of Enterobacteriales. In conclusion, BFL1:2 and BFL1:3 may be potential therapeutic candidates for NAFLD.

• Journal of Korean Society of Forest Science
• /
• v.100 no.4
• /
• pp.540-547
• /
• 2011

This study was conducted to compare classification accuracy by tree species using QuickBird imagery for pixel- and segment-based classifications that have been mostly applied to classify land covers. A total of 398 points was used as training and reference data. Based on this points, the points were classified into fourteen land cover classes: four coniferous and seven deciduous tree species in forest classes, and three non-forested classes. In pixel-based classification, three images obtained by using raw spectral values, three tasseled indices, and three components from principal component analysis were produced. For the both classification processes, the maximum likelihood method was applied. In the pixel-based classification, it was resulted that the classification accuracy with raw spectral values was better than those by the other band combinations. As resulted that, the segment-based classification with a scale factor of 50% provided the most accurate classification (overall accuracy:76% and ${\hat{k}}$ value:0.74) compared to the other scale factors and pixel-based classification.

• Journal of the Korea Society for Simulation
• /
• v.32 no.3
• /
• pp.93-108
• /
• 2023

In manufacturing productivity analysis, understanding the intricate interplay among factors like facility performance, layout design, and workforce allocation within the production line is imperative. This paper introduces a simulation-based methodology tailored to food manufacturing, progressively expanding scenarios to analyze production enhancement. The target system is a food processing plant, encompassing production processes, including warehousing, processing, subdivision, packaging, inspection, loading, and storage. First, we analyze the target system and design a simulation model according to the actual layout arrangement of equipment and workers. Then, we validate the developed model reflecting the real data obtained from the target system, such as the workers' working time and the equipment's processing time. The proposed model aims to identify optimal factor values for productivity gains through incremental scenario comparisons. To this end, three stages of simulation experiments were conducted by extending the equipment and worker models of the subdivision and packaging processes. The simulation experiments have shown that productivity depends on the placement of skilled workers and the performance of the packaging machine. The proposed method in this study will offer combinations of factors for the specific production requirements and support optimal decision-making in the real-world field.

• International conference on construction engineering and project management
• /
• 2022.06a
• /
• pp.1253-1253
• /
• 2022

Although the construction industry is changing from a 2D-based to a 3D BIM-based management process, 2D drawings are still used as standards for permits and construction. For this reason, 2D deliverables extracted from 3D BIM are one of the essential achievements of BIM projects. However, due to technical and institutional problems that exist in practice, the process of extracting 2D deliverables from BIM requires additional work beyond generating 3D BIM models. In addition, the consistency of data between 3D BIM models and 2D deliverables is low, which is a major factor hindering work productivity in practice. To solve this problem, it is necessary to build BIM data that meets information requirements (IRs) for extracting 2D deliverables to minimize the amount of work of users and maximize the utilization of BIM data. However, despite this, the additional work that occurs in the BIM process for drawing creation is still a burden on BIM users. To solve this problem, the purpose of this study is to increase the productivity of the BIM process by automating the process of extracting 2D deliverables from BIM and securing data consistency between the BIM model and 2D deliverables. For this, an expert interview was conducted, and the requirements for automation of the process of extracting 2D deliverables from BIM were analyzed. Based on the requirements, the types of drawings and drawing expression elements that require automation of drawing generation in the design development stage were derived. Finally, the method for developing automation technology targeting elements that require automation was classified and analyzed, and the process for automatically extracting BIM-based 2D deliverables through templates and rule-based automation modules were derived. At this time, the automation module was developed as an add-on to Revit software, a representative BIM authoring tool, and 120 rule-based automation rulesets, and the combinations of these rulesets were used to automatically generate 2D deliverables from BIM. Through this, it was possible to automatically create about 80% of drawing expression elements, and it was possible to simplify the user's work process compared to the existing work. Through the automation process proposed in this study, it is expected that the productivity of extracting 2D deliverables from BIM will increase, thereby increasing the practical value of BIM utilization.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.27 no.3
• /
• pp.276-282
• /
• 1982

To estimate the responses of sesame plant in growth and yielding traits to different soil drainage conditions, a pot trial was conducted by using of sesame variety "Suweon-9" were introduced with 5 different mixing combinations of clay and sea-sand soils as 0:100, 25:75, 50:50, 75:25, and 100:0 percents in volumetric ratio. Also two irrigation methods as 20mm/6 days interval and 10mm/3 days interval were detected. As a result, water drainage was linearly decreased with increament of clay contents. And the excess drainage condition(such as pure sand soil) required more irrigation, however in crop growths, no significant differences among various soil drainage conditions except the pure sand were recognized. On the other hand, number of capsules per plant, among other yielding components, was most contributed factor to the yield, which was effectively given from the soil mixed with clay and sea-sand as 75% and 25%, respectively. Therefore, much similar responses were also detected from the seed yields per a sesame plant. However, the number of seeds per capsule and maturity function were more effectively composed under the soil mixed with clay and sea-sand as 25% and 75% respectively better than under the soil of 75% and 25%. As a conclusion, the yielding responses of sesame plant was advanced more effectively at the soil conditions of water conserved type (e.g. 25%/75% in clay/sand ratio) than of water-draining type (e.g. 75%/25% in clay/sand ratio).nd ratio).

• Journal of Korea Entertainment Industry Association
• /
• v.13 no.6
• /
• pp.45-52
• /
• 2019

This study focuses on analyzing rhythms revealed in music songs of Korean third-generation idol girl groups. The development of genre and development of rhythm continues and the rhythm of Third World music is strong worldwide. The development of genres and rhythms continues and the rhythms of the Third World music are winning big popularity world wide. In the past, Third World rhythms were used only in countries where rhythm originated and neighboring countries, and the rhythms between countries were combined to occur in various conersence composite forms. In the past, the Third World rhythms were used only in rhythm-oriented countries and neighboring countries, and the rhythms between countries were combined in various and composite forms The changes in the global music market and the structure of the Korean pop music market show the same pattern in the local pop music genre. This study analyzes the phenomenon in which the Dembow rhythm and the tresillo rhythm, one of the rhythms of the Third World music, are concentrated in third-generation idol music, and notes that a certain number of combinations appear in rhythms and melodies. Moreover, this study identifies and compares the origin, the structure and the application cases of the Dembow rhythm and the tresillo rhythm by analyzing 12 songs of Korean third-generation idol girl groups. A game, as a sort of media like a movie, may be subjected to an ambivalent evaluation in accordance with the quality of each content. In this regard, it is necessary to have an active discussion about which game has desirable contents. Emotion which is an influential factor on interaction among players in game design needs to be approached from a social perspective. Also, based on social emotions associated with players, a significant relationship between emotional vocabularies and game emotions should be understood in comparison with social emotions within the game. based on social emotions regarding players As a result, social emotions within the game exhibited differences from the meaning of the terms. It is supposed that this result was caused by the ethical standards and differences in the real world. Accordingly, for qualitative enhancement of games, it is required to utilize the contents of this study, since emotions within the game are based on social emotions regarding players.