• Journal of KIBIM
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• v.7 no.3
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• pp.40-48
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• 2017

It only takes one failed project to wipe out an entire year's profit, when the projects are not managed efficiently. Additionally, escalating costs of materials and a competitive local construction market make subcontractors a challenge. Subcontractors have finite resources that should be allocated simultaneously across many projects in a dynamic manner. Significant scheduling problems are posed by concurrent multi-projects with limited resources. The objective of this thesis is to identify the effect of productivity changes on the total cost resulting from shifting crews across projects using a descriptive model. To effectively achieve the objective, this study has developed a descriptive cost model for a subcontractor with multi-resources and multi-projects. The model was designed for a subcontractor to use as a decision-making tool for resources allocation and scheduling. The model identified several factors affecting productivity. Moreover, when the model was tested using hypothetical data, it produced some effective combinations of resource allocation with associated total costs. Furthermore, a subcontractor minimizes total costs by balancing overtime costs, tardiness penalties, and incentive bonus, while satisfying available processing time constraints.

• East Asian mathematical journal
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• v.30 no.4
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• pp.527-544
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• 2014

The purpose of this thesis is to analyze mathematical errors in descriptive problems of the Mathematics Level Assessment(MLA) which is conducted in P University. We classified mathematical errors, which are easily made in solving the descriptive problems of the MLA, into nine types as misused data, misinterpreted language, logically invalid inference, misunderstood theorem or definition, unmatched solution, technical errors, omission of solving process, ambiguous errors, and unattempted errors. With classifying the errors in nine types, we analyzed the errors of students, who are in intermediate and low level grades, by descriptive problems. On the basis of these analysis results, we suggest plans for improving the implementation of the MLA and the teaching-learning methods about College General Mathematics.

• Journal of the Korean Society of Food Culture
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• v.31 no.1
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• pp.105-110
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• 2016

The objective of this study was to determine sensory profiles of rice confections. The samples used in this study obtained from Korea (traditional Korea rice snack and local specialty rice snack) and three countries (USA, Japan, and China) were evaluated and compared. The sensory characteristics of five kinds of rice confections were evaluated using a sensory test and were analyzed via quantitative description analysis (QDA), principal component analysis (PCA), and hierarchical cluster analysis (HCA). In the descriptive analysis, 10 trained panelists evaluated sensory characteristics consisting of 19 attributes, and there were significant differences (p<0.05) among the 16 characteristics. For the descriptive data, multivariate analysis of variance was carried out and identified differences among the samples. The PCA of rice confections for the first two principal components could explain 85.66% of the variations. The Korean, Japanese, and Chinese rice confections were savory, gritty, and particle-sized, the other Korean local specialty rice confections were fruity, sweet, honey-flavored, compact, and crispy, and those from the USA were glossy, grainy, bright, adhesive, cohesive, crispy, and sweet.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.5
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• pp.699-710
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• 2019

This study focuses on social norms and perceived benefits that are expected to lead to purchase fashion goods selling by social enterprises that can help guide the establishment of effective sales strategies for social enterprises. The relationships among two social norms (injunctive norms and descriptive norms), three perceived benefits (cause benefits, psychological benefits, and social image benefits), and purchase intention were investigated respectively. Data were collected via an online web survey and 11 hypotheses were statistically tested by using PLS-SEM analysis. Purchase intention toward the fashion products of social enterprises was influenced by four antecedent variables (injunctive and descriptive norms, cause and psychological benefits) excluding only social image benefits. However, descriptive norms only affected psychological benefits while injunctive norms only affected social image benefits. The findings suggest that the owners or marketers of social enterprises need to create a social atmosphere in which more consumers buy the fashion goods for social enterprises and emphasize consumers' psychological benefits that they feel mentally more comfortable by purchasing the fashion goods of social enterprises.

• The Korean Journal of Archival Studies
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• no.1
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• pp.7-22
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• 2000

It is almost impossible to fulfill the users' information needs efficiently without any finding aids. The idiosyncrasy of archival materials had led the archivists to develop their own descriptive rules until the mid of 1980s. It was the arrival of computers and information networks that stimulated the archival community to standardize its variant descriptive practices. The primary purpose of the national and international archival description standards is to facilitate the cooperative archival data exchange. The Ad Hoc Commission on Descriptive Standards of the International Council on Archives adopted ISAD(G) and ISAAR(CPF) in 1993 and in 1995 respectively. ISAD(G) guides the formulation of information in each of 26 elements that may be combined to constitute the description of an archival entity. ISAAR(CPF) is to give general rules for the establishment of archival authority records in descriptions of archival documents. Histories, structures and fundamental principles of those two international archival standards have been studies in this article. Most of the present archival description standards are based on the principle of provenance and the authority model. The instability of modern organizations and the digitalization of record keeping systems have been making the archivists to review these basic archival principles. It is suggested that Korean archival community should attempt to draft a national archival descriptive standard suitable to the Korean archival practice and Korean language in the framework of the international standards.

• Journal of Trauma and Injury
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• v.18 no.2
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• pp.148-154
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• 2005

Purpose: This study was conducted to gather descriptive data on trauma victims and to observe the general demographic characteristics and clinical profile of trauma victims who were admitted to a regional emergency medical center in the west southern Kyungsangnam-do area. Objects & Method: The study population consisted of 1,909 trauma patients who visited the emergency department of Gyeongsang National University Hospital between January 2003 and December 2004. The medical records were reviewed in a retrospective manner. Demographic data, the mechanism of injury, and clinical information were collected by three professional medical affairs recorders and an emergency physician and a Revised Trauma Score (RTS) and an Injury Severity Score (ISS) were calculated for each patient. Collected data were analyzed with SPSS software version 12.0. Results: Male patients outmembered female patients (M:F=2.54:1), and the mean age of the population was $40.5{\pm}21.4$ years. The mean RTS and ISS were $7.45{\pm}1.11$ and $8.40{\pm}7.44$, respectively. The seventies showed the highest ISS($10.94{\pm}8.66$). The most common mechanism of injury was motor-vehicle accidents (45.57%), followed by falls or slips(28.26%), and other blunt injuries(12.68%). The most frequent causes of death was cerebral herniation due to head injury(68.4%) and irreversible shock(26.3%). Conclusion: The present study clarified the demographic and clinical characteristics of trauma patients in the Kyungsangnam-do area. In the future, prospective clinical data collection is needed for a more sophisticated trauma study.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.47 no.2
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• pp.1-9
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• 2024

New motor development requires high-speed load testing using dynamo equipment to calculate the efficiency of the motor. Abnormal noise and vibration may occur in the test equipment rotating at high speed due to misalignment of the connecting shaft or looseness of the fixation, which may lead to safety accidents. In this study, three single-axis vibration sensors for X, Y, and Z axes were attached on the surface of the test motor to measure the vibration value of vibration. Analog data collected from these sensors was used in classification models for anomaly detection. Since the classification accuracy was around only 93%, commonly used hyperparameter optimization techniques such as Grid search, Random search, and Bayesian Optimization were applied to increase accuracy. In addition, Response Surface Method based on Design of Experiment was also used for hyperparameter optimization. However, it was found that there were limits to improving accuracy with these methods. The reason is that the sampling data from an analog signal does not reflect the patterns hidden in the signal. Therefore, in order to find pattern information of the sampling data, we obtained descriptive statistics such as mean, variance, skewness, kurtosis, and percentiles of the analog data, and applied them to the classification models. Classification models using descriptive statistics showed excellent performance improvement. The developed model can be used as a monitoring system that detects abnormal conditions of the motor test.

• Korean Journal of Food Science and Technology
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• v.49 no.1
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• pp.35-43
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• 2017

The sensory characteristics of 12 commercial top-fermented beers were determined by sensory descriptive analysis. Beer samples were also analyzed for soluble solids, titratable acidity, pH, reducing sugar content, bitterness unit (BU), turbidity, hunter color values, amino acid content, total phenolic content, and DPPH radical scavenging activity. Five appearance, nine aroma, six flavor/taste, and four mouth-feel related sensory attributes were evaluated by a panel of nine judges. As the result of three way analysis of variance of descriptive data, all sensory attributes except "cereal" aroma and "salty" taste showed significant differences among the beers (p<0.05). Based on the principal component analysis of the descriptive data, samples were primarily separated by first and second principal components, which accounted for 78% of the total variance between the beers with high intensities of "yellow color", "caramel aroma", and "barley taste" versus "hop aroma", "sour", and "citrus aroma". In the correlation analysis between the sensory terms and physicochemical parameters, BU, total phenolic content, titratable acidity, soluble solids, and yellowness ($b^*$) showed significant positive correlations with citrus aroma, pineapple aroma, and fresh aroma characteristics.

• Journal of Korean Academy of Nursing
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• v.54 no.1
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• pp.1-17
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• 2024

Purpose: The significance of the healthcare industry has grown exponentially in recent years due to the impact of the fourth industrial revolution and the ongoing pandemic. Accordingly, this study aimed to examine domestic healthcare-related patents comprehensively. Big data analysis was used to present the trend and status of patents filed in nursing. Methods: The descriptive review was conducted based on Grant and Booth's descriptive review framework. Patents related to nursing was searched in the Korea Intellectual Property Rights Information Service between January 2016 to December 2020. Data analysis included descriptive statistics, phi-coefficient for correlations, and network analysis using the R program (version 4.2.2). Results: Among 37,824 patents initially searched, 1,574 were selected based on the inclusion criteria. Nursing-related patents did not specify subjects, and many patents (41.4%) were related to treatment in the healthcare delivery phase. Furthermore, most patents (56.1%) were designed to increase effectiveness. The words frequently used in the titles of nursing-related patents were, in order, "artificial intelligence," "health management," and "medical information," and the main terms with high connection centrality were "artificial intelligence" and "therapeutic system." Conclusion: The industrialization of nursing is the best solution for developing the healthcare industry and national health promotion. Collaborations in education, research, and policy will help the nursing industry become a healthcare industry of the future. This will prime the enhancement of the national economy and public health.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.9 no.1
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• pp.36-41
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• 2009

Self organizing map(SOM) is one of the unsupervised methods based on the competitive learning. Many clustering works have been performed using SOM. It has offered the data visualization according to its result. The visualized result has been used for decision process of descriptive data mining as exploratory data analysis. In this paper we propose improvement of SOM using stratified sampling of statistics. The stratification leads to improve the performance of SOM. To verify improvement of our study, we make comparative experiments using the data sets form UCI machine learning repository and simulation data.