• The Journal of Industrial Distribution & Business
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• v.4 no.2
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• pp.5-11
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• 2013

Purpose - Considering the importance of education as the base for countries' development, the results of various studies show that accounting education is not reconciled to business environment changes with huge defects in methods of education and knowledge transition. Research design, data, and methodology - By reviewing current research and considering the effect of 12 factors, the study traces and detects why accounting education is far from the business environment from viewpoints of academic and practitioner bodies. After testing for validity and reliability, 225 questionnaires were administrated among representatives of three groups. Results - Respondents were not satisfied with lack of specification of various scientific areas of accounting, that less attention is paid to accounting software education, and about the rarity of workshops for performing accounting skills and discordance between accounting education and standard rules. Conclusion - These findings agreed with Albrecht and Sack (2001) who stated that the current style of accounting education is very cluttered and incomplete and needs major adjustments: subjects of accounting education must be based on the grounds of work needs not on willing academics.

• Journal of the Society of Naval Architects of Korea
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• v.42 no.5 s.143
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• pp.534-541
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• 2005

Until now, Korean shipyards have accumulated a great amount of data. But they do not have appropriate tools to utilize the data in practical works. Engineering data contains experts' experience and know-how in its own. It is very useful to extract knowledge or information from the accumulated existing data by using data mining technique This paper treats an evolutionary computation based on genetic programming (GP), which can be one of the components to realize data mining. The paper deals with linear models of GP for the regression or approximation problem when given learning samples are not sufficient. The linear model, which is a function of unknown parameters, is built through extracting all possible base functions from the standard GP tree by utilizing the symbolic processing algorithm. In addition to a standard linear model consisting of mathematic functions, one variant form of a linear model, which can be built using low order Taylor series and can be converted into the standard form of a polynomial, is considered in this paper. The suggested model can be utilized as a designing tool to predict design parameters with small accumulated data.

• Journal of the Korea Society of Computer and Information
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• v.19 no.11
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• pp.105-113
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• 2014

In this paper, we propose an OWL DL mapping rules for construction legal ontology based on the analyzed relationship between the structural features and elements of the statute. The mapping rule to be proposed is the method building the structure of the domestic statute, unique attribute of the statute, and reference relation between laws with TBox, and the legal sentence is analyzed, and the pattern type of the sentence is selected. It expresses with ABox. The proposed mapping rule is transformed to the information in which the computer can process the domestic legal document. It is usable for the legal knowledge base.

• The Journal of the Korean dental association
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• v.57 no.9
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• pp.504-513
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• 2019

Dental education is gradually transitioning to competency-based education system, which aims to help dentists achieve certain core competencies by means of various systems, such as curriculum accreditation. This study examined satisfaction with dental school education and the differences in the perceived importance and self-assessment of competencies among general dentists, in an attempt to propose a desirable direction for dental education. A questionnaire was administered to new general dentists who graduated from a dental school within the past 10 years. The results of the survey were analyzed using the Importance-Performance Analysis to understand differences in dentists' perceptions. Overall satisfaction with education was low in terms of the curriculum's relevance to actual practice and its capacity for cultivating required competencies. Furthermore, many of the respondents strongly perceived the need to improve dental education. Additional investigations into the satisfaction with education showed no difference. Among the seven key competency domains, dentists perceived Health Promotion to be important and also assessed themselves as having high competence. However, regarding the perceived importance of the remaining domains, self-assessment of competence was low for Professionalism, Communication & Interpersonal Skills, Knowledge Base, Information Handling & Critical Thinking, Clinical Information Gathering, Diagnosis & Treatment Planning, and Establishment & Maintenance of Oral Health. The results of this study suggest that a competency-based education model should be developed and incorporated into dental education to set performance standards and to promote systematic self-assessment in order to foster the development of competence in dental students.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.5
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• pp.837-855
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• 2020

This study develops a business ethics education program and verifies its effects through the implementation of a program for fashion companies. Questionnaires obtained from 161 fashion companies were submitted for an analysis of the education needs of business ethics components using the Borich's Needs Assessments Model and the Locus for Focus model. The business ethics component in the highest rank of the education need was 'promoting social contribution (PSC)'. An education program of PSC was developed based on the problem-based learning method and was implemented for 180 minutes on the CEOs or managerial board members of eleven fashion companies. Education participants showed an improvement in the perceptions of the business ethics component after the education seminar. The self-efficacy and the education effect perceived by participants were maintained 70 days after education. This study is meaningful to gain an empirical evidence of the positive effect of business ethics education implemented on the practitioners of fashion companies. The results will provide a knowledge base and a guideline for business ethics education in the fashion industry.

• International Journal of Computer Science & Network Security
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• v.21 no.1
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• pp.220-225
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• 2021

Human population growth rate is an important parameter for real-world planning. Common approaches rely upon fixed parameters like human population, mortality rate, fertility rate, which is collected historically to determine the region's population growth rate. Literature does not provide a solution for areas with no historical knowledge. In such areas, machine learning can solve the problem, but a multitude of machine learning algorithm makes it difficult to determine the best approach. Further, the missing feature is a common real-world problem. Thus, it is essential to compare and select the machine learning techniques which provide the best and most robust in the presence of missing features. This study compares 17 machine learning techniques (base learners and ensemble learners) performance in predicting the human population growth rate of the country. Among the 17 machine learning techniques, random forest outperformed all the other techniques both in predictive performance and robustness towards missing features. Thus, the study successfully demonstrates and compares machine learning techniques to predict the human population growth rate in settings where historical data and feature information is not available. Further, the study provides the best machine learning algorithm for performing population growth rate prediction.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.2
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• pp.55-62
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• 2022

A smart tourism chatbot is needed as a user interface to efficiently provide smart tourism services such as recommended travel products, tourist information, my travel itinerary, and tour guide service to tourists. We have been developed a smart tourism app and a smart tourism information system that provide smart tourism services to tourists. We also developed a smart tourism chatbot service consisting of khaiii morpheme analyzer, rule-based intention classification, and tourism information knowledge base using Neo4j graph database. In this paper, we develop the Korean and English smart tourism Name Entity (NE) datasets required for the development of the NER model using the pre-trained language models (PLMs) for the smart tourism chatbot system. We create the tourism information NER datasets by collecting source data through smart tourism app, visitJeju web of Jeju Tourism Organization (JTO), and web search, and preprocessing it using Korean and English tourism information Name Entity dictionaries. We perform training on the KoBERT-CRF NER model using the developed Korean and English tourism information NER datasets. The weight-averaged precision, recall, and f1 scores are 0.94, 0.92 and 0.94 on Korean and English tourism information NER datasets.

• Journal of Home Health Care Nursing
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• v.29 no.1
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• pp.40-49
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• 2022

Purpose: This study aimed to analyze the effects of fatigue, resilience, and self-leadership on nursing service quality of local medical center nurses who nursed COVID-19 patients. Methods: The participants were 135 nurses who worked at regional public hospitals located in H-gun, G, and C-city in province C. The collected data were analyzed using descriptive statistics, t-test, analysis of variance (ANOVA), Pearson's correlation coefficients, and stepwise multiple regression using IBM SPSS Statistics version 25. Results: The participants' nursing service quality showed significant positive correlation with resilience (r=.53, p<.001), and self-leadership (r=.60, p<.001). The factors affecting participants' nursing service quality were commitment to self-leadership (β=.57, p<.001) and work position (chief nursing officer) (β=.26, p<.001), which explained 42% of the participants' nursing service quality. Conclusion: During a crisis such as the COVID-19 pandemic, it is necessary to help nurses enhance their self-leadership skills and build their career continuously by developing relevant policies, systems, and nursing intervention programs. Future studies could expand the knowledge base by including more participants to explore other ways to improve nursing service quality during the COVID-19 pandemic.

• Nuclear Engineering and Technology
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• v.54 no.4
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• pp.1343-1354
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• 2022

Experiments were performed to measure the critical heat flux (CHF) on a vertical surface abutting a coarse packed bed of spherical particles. This geometry is representative of a CANDU reactor calandria tubesheet facing the end shield cavity during the in-vessel retention (IVR) phase of a severe accident. Deionized light water was used as the working fluid. Low carbon steel shielding balls with diameters ranging from 6.4 to 12.7 mm were used, allowing for the development of an empirical correlation of CHF as a function of shielding ball diameter. Previously published data is used to develop a more comprehensive empirical correlation accounting for the impacts of both shielding ball diameter and heating surface height. Tests using borosilicate shielding balls demonstrated that the dependence of CHF on shielding ball thermal conductivity is insignificant. The deposition of iron oxide particles transported from shielding balls to the heating surface is verified to increase CHF non-trivially. The results presented in this paper improve the state of the knowledge base permitting quantitative prediction of CHF in the CANDU end shield, refining our ability to assess the feasibility of IVR. The findings clarify the mechanisms governing CHF in this scenario, permitting identification of potential future research directions.

• Journal of Veterinary Science
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• v.21 no.5
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• pp.70.1-70.7
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• 2020

Background: Oral neoplasia has been reported to account for 6-7% of all canine cancer and 3% of all feline cancers. To the authors' knowledge the last epidemiologic analysis of general oral cancer in dogs and cats was published in 1976. Objectives: The goal of this study was to report contemporary demographic information regarding oral tumors in dogs and cats. Methods: Information was collected from cats or dogs diagnosed with oral neoplasia from the Veterinary Medical Data Base. Medical records representing cases that presented to one of 26 veterinary teaching hospitals from January 1, 1996 through December 31, 2017 were included. Results: A total of 1,810 dogs and 443 cats were identified. A total of 962 cases (53.6%) of canine oral tumors were classified as malignant and 455 cases as benign (25.4%). The majority of feline oral tumors were classified as malignant (257 cases, 58.1%) and only a few benign (11 cases, 2.5%). The incidence of oral tumors was calculated to be 4.9 per 1,000 dogs (0.5%) and 4.9 per 1,000 cats (0.5%). Conclusions: This incidence of oral tumors is considerably higher than previously reported in both dogs and cats. These results provide valuable information for generation of hypotheses for future investigations of breed-based and pathology-based oral neoplastic studies.