• Korean Journal of Heritage: History & Science
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• v.52 no.3
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• pp.4-37
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• 2019

Buncheong Ware, which was produced for approximately 200 years from the end of the Goryeo Dynasty to the beginning of the Joseon Dynasty, was used for royal house and state affairs during the early Joseon Dynasty. Records of Buncheong Ware can be found with Jagiso and Dogiso, considered the place of production, in the 'Sejongsylrok jiliji'. This is notable, unlike celadon and white porcelain. However, compared to Gyeongsangnam-do and Gyeongsangbuk-do, the study of Jagiso and Dogiso in Jeollanam-do and Jeollabuk-do has been unsatisfactory. In this paper, we examined the locations of Jagiso and Dogiso in the Jeollanam-do prefecture. This study is focused on Najumok, located in the western part of Jeollanam-do. The following research results were obtained: First, the locations of Jagiso and Dogiso in nine areas were examined. These nine areas comprised Najumok and its immediate provinces of Haejingun, Yeongamgun, Yeonggwanggun, Hampyeonghyeon, Muanhyeon, Gochanghyeon, Heungdeokhyeon and Jangseonghyeon. Previous research results exist for some of the regions; however, only Buncheong Ware was used to estimate Jagiso and Dogiso. In this paper, we tried to discover a more accurate position of Jagiso and Dogiso through a comparison of the place names recorded in the 'Sejongsylrok jiliji' and the place names recorded in the 'Hoguchoungsu'. Also, pottery-related area names and Buncheong Ware obtained from the field survey were reviewed. Table 2 shows the specific positions of Jagiso and Dogiso in the areas examined. Second, it would appear that pottery was produced not only in Jagiso but also in Dogiso. This is because much of Buncheong Ware was unearthed in Najumok, Yeongamgun, and Muanhyeon Dogiso. However, it was only excavated from the Buncheong Kiln Site in Yucheon Village, Sangweol-ri, Yeongam-gun; there could be limitations regarding to the rest of the areas because only a field survey was conducted, not an excavation. A recent excavation at Donggok Village in Cheongdo-ri, Gimje also confirmed a Buncheong Kiln Site. There were two Buncheong Ware ('公', '上') artifacts excavated from the site, believed to be Gongnapjagi. In addition, Cheongdo-ri, where the Buncheong Kiln Site is located, was found to be an area in Wurimgokmyeon, a former Wurimgok at a Dogiso in Jeonjubu. Consequently, it would seem that Dogiso also produced porcelain (Buncheong Ware). If more data can be obtained from the excavations at sites considered to be Dogiso, the results of Dogiso-related research will be strengthened. Third, in previous surveys, field surveys and excavation surveys were based on estimates using artifacts, but the name of the location of the Jagiso and Dogiso may be confirmed more accurately by tracking the changes in the names of the administrative areas. Therefore, although it is important to conduct research using the results of surveys or excavations, changes in the place names or places related to porcelain must not be overlooked.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.201-220
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• 2019

Fake news has emerged as a significant issue over the last few years, igniting discussions and research on how to solve this problem. In particular, studies on automated fact-checking and fake news detection using artificial intelligence and text analysis techniques have drawn attention. Fake news detection research entails a form of document classification; thus, document classification techniques have been widely used in this type of research. However, document summarization techniques have been inconspicuous in this field. At the same time, automatic news summarization services have become popular, and a recent study found that the use of news summarized through abstractive summarization has strengthened the predictive performance of fake news detection models. Therefore, the need to study the integration of document summarization technology in the domestic news data environment has become evident. In order to examine the effect of extractive summarization on the fake news detection model, we first summarized news articles through extractive summarization. Second, we created a summarized news-based detection model. Finally, we compared our model with the full-text-based detection model. The study found that BPN(Back Propagation Neural Network) and SVM(Support Vector Machine) did not exhibit a large difference in performance; however, for DT(Decision Tree), the full-text-based model demonstrated a somewhat better performance. In the case of LR(Logistic Regression), our model exhibited the superior performance. Nonetheless, the results did not show a statistically significant difference between our model and the full-text-based model. Therefore, when the summary is applied, at least the core information of the fake news is preserved, and the LR-based model can confirm the possibility of performance improvement. This study features an experimental application of extractive summarization in fake news detection research by employing various machine-learning algorithms. The study's limitations are, essentially, the relatively small amount of data and the lack of comparison between various summarization technologies. Therefore, an in-depth analysis that applies various analytical techniques to a larger data volume would be helpful in the future.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.5
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• pp.78-90
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• 2019

The purpose of this study is to explore the direction of developing policies for parks and green spaces for inclusive urban planning and regeneration. By reviewing the status, budget, and laws pertaining to urban parks in Korea, as well as assessing the inclusivity of urban parks, this study revealed the problems and limitations in Korea as follows. First, the urban park system, which takes into account indicators such as park area per capita and green space ratio, is focused only on quantitative expansion. Second, the distribution of urban parks is unequal; hence, the higher the number of vulnerable residents, the lower the quality of urban parks and green spaces. Moreover, this study focused on the UK central government, along with the five local governments, including London, Edinburgh, Cardiff, Belfast, and Liverpool. Through an analysis of the contexts and contents establishing UK park and green space policies that can reduce socioeconomic inequalities while at the same time increase inclusiveness. This study discovered the following. The government's awareness of the necessity of tackling socioeconomic inequalities to make an inclusive society, the change in the urban regeneration policies from physical redevelopment to neighborhood renewal, and the survey and research on the correlation of parks and green spaces, inequality, health, and well-being provided the background for policy establishment. As a result, the creation of an inclusive society has been reflected in the stated goals of the UK's national plan and the strategies for park and green space supply and qualitative improvement. Deprived areas and vulnerable groups have been included in many local governments' park and green space policies. Also, tools for analyzing deficiencies in parks and methods for examining the qualitative evaluation of parks were developed. Besides, for the sustainability of each project, various funding programs have been set up, such as raising funds and fund-matching schemes. Different ways of supporting partnerships have been arranged, such as the establishment of collaborative bodies for government organizations, allowing for the participation of private organizations. The study results suggested five policy schemes, including conducting research on inequality and inclusiveness for parks and green spaces, developing strategies for improving the quality of park services, identifying tools for analyzing policy areas, developing park project models for urban regeneration, and building partnerships and establishing support systems.

• Journal of the Society of Disaster Information
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• v.15 no.3
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• pp.440-449
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• 2019

Purpose: Fire-fighting organizations are the very first agencies that take actions at a disaster scene, and emergency rescue training is carried out for prompt and systematic response. However, there is a need for a change due to the limitations in emergency rescue trainings such as perfunctory trainings or trainings without considering regional or environmental characteristics. Method: This study is to conduct theoretical review with regard to emergency rescue training and present a measure to improve the emergency rescue training through attitude survey targeting fire-fighting organizations in Gangwon area. Result: Facilities that cause difficulties when doing emergency rescue activity were mostly hazardous material storage and processing facilities. In terms of the level of emergency rescue and response task, most respondents answered that the emergency rescue was insufficient. The respondents answered that the effectiveness of emergency rescue training was helpful, but some responses showed that the training was not helpful because of scenario-based training, seeming training, similar training carried out every year, unrealistic training, and lack of competent authorities' interest and perfunctory participations. Most respondents answered for the appropriateness of emergency rescue training and evaluation that they were satisfied, however, they were not satisfied with the evaluation methods irrelevant to the type of training, evaluation methods requiring unnecessary training scale, and evaluation methods leading perfunctory participations of competent authorities. Lastly, respondents mostly answered that training reflecting various damage situations are necessary regarding the demand on the improvement of emergency rescue training. Conclusion: The improvement measures for emergency rescue training are as follows. First, it is necessary to set and prepare various training contents in accordance with regional characteristics by reviewing major disasters occurred in the region. Second, it is necessary to revise the emergency rescue training guidelines and manuals for appropriate training plan for each fire station, provide education and training for working-level staff members, and establish training in a way that types, tactics, and strategies of emergency rescue training could be utilized practically. Third, it is necessary to prepare a scheme that can lead participation and provide incentive or penalty from the planning stage of training in order to increase the participation of supporting and competent authorities when an actual disaster occurs. Fourth, it is necessary to establish support arrangements and cooperative systems by authority through training by fire stations or zones in preparation for disaster situations that may occur simultaneously. Fifth, it is necessary to put emphasis on the training process rather than the result for emergency rescue training and evaluation, pay attention to the identification of supplement points for each disaster situation and make improvements. Especially, type or form of training should be considered rather than evaluating the execution status of detailed processes, and the evaluation measure that can consider the completeness (proficiency) of training and the status of role performance rather than the scale of training should be prepared. Sixth, type and method of training should be improved in accordance with the characteristics of each fire station by identifying the demand of working-level staff members for an efficient emergency rescue training.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.3
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• pp.73-84
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• 2019

Despite decades of work experience, workers at small- and medium-sized enterprises(SME) here have yet to make inroads into the self-employed sector that utilizes the job competency they have accumulated at work after retirement. Unlike large companies, SME do not have a proper system for improving the long-term job competency of their employees as they focus on their immediate performance. It is necessary to analyse the independent variables affecting the job competency of employees of SME to derive practical implications for the personnel of SME. In the preceding studies, there are independent variable analyses that affect job competency in specialized industries, such as health care, public officials and IT, but the analysis of workers at SME is insufficient. This study set the person-job fit and organizational justice based on the prior studies of the independent variables that affect the job competency of SME general workers as a dependent variable. The sub-variables of each variable derived knowledge, skills, experience, and desire for person-job fit, and distribution, procedural and deployment justice for organizational justice, respectively. The survey of employees of SME in Korea was conducted from February to March 2019 by Likert 5 scales, and the survey was retrieved from 323 people and analyzed in a demonstration using the SPSS and AMOS statistics package. Among the four sub-independent variables of person-job fit, knowledge, skills and experience were shown to have a significant impact on the job competency, and desire was not shown to be so. Among the three sub-independent variables of organizational justice, deployment justice has a significant impact on job competency, but distribution and procedural justices have not. Personnel managers of SME need to improve the job competency of their employees by appropriately utilizing independent variables such as knowledge, skills, experience and deployment at each stage, including recruitment, deployment, and promotion. Future job competency modeling studies are needed to overcome the limitations of this study, which fails to objectively measure job competency.

• The Korean Journal of Archival Studies
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• no.35
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• pp.41-91
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• 2013

There have been numerous steps of growth in policy system since the legal systemization through the enactment of Information Disclosure of public institution Act in 1996 and Records Management of public institution Act in 1999 as well as infrastructure advancement led by government bodies, but it still shows insufficiency in some aspects of information disclosure system and records management. In particular, the issue of reliability on record information disclosed through information disclosure system is raised, and institutional base through the legal and technical devices to ensure the reliability are not well prepared. Government has attempted to enact laws and regulations to guarantee the public right to know through information disclosure and records management at government level, and establish the national system in a way that advances the infrastructure for encouraging the participation in state affairs and utilization of national record information resources. There are limitations that it lacks internal stability and overlooks the impact and significance of record information itself by focusing upon system expansion and disclosing information quantatively. Numerous record information disclosed tends to be falsified, forged, extracted or manufactured by information disclosure staffs, or provided in a form other than official document or draft. In addition, the disclosure or non-disclosure decisions without consistency and criteria due to lack of information disclosure staff or titular supervising authority, which is likely to lead to societal confusion. There are also frequent cases where the reliability is damaged due to voluntary decision, false response or non response depending upon request agents for information disclosure. In other cases, vague request by information disclosure applicant or civil complaint form request are likely to hinder the reliability of record information. Thus it is essential to ensure the reliability of record information by establishing and amending relevant laws and regulations, systemic improvement through organizational and staff expertise advancement, supplementing the information disclosure system and process, and changing the social perception on information disclosure. That is, reliable record information is expected to contribute to genuine governance form administration as well as accountability of government bodies and public organizations. In conclusion, there are needed numerous attempts to ensure the reliability of record information to be disclosure in the future beyond previous trials of perceiving record information as records systematically and focusing upon disclosing more information and external development of system.

• Journal of Dental Rehabilitation and Applied Science
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• v.35 no.1
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• pp.1-10
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• 2019

Purpose: The aim of this study was to evaluate the influence of polishing methods on the color stability of composite resins. Materials and Methods: Two bulk-fill and four conventional resin composites were filled in cylindrical molds (6 mm diameter, 4 mm height) and light-cured. The specimens were stored in $34^{\circ}C$ distilled water for 24 h. Spectrophotometer was used to determine the color value according to the CIE $L^*a^*b^*$ color space. Each group was divided into three groups according to polishing methods (n = 5). Group 1 was control group (Mylar strip group), group 2 was polished with PoGo, and group 3 was polished with Sof-Lex Spiral wheels. Color evaluation was performed weekly for 4 weeks after immersion in $34^{\circ}C$ distilled water. The results were analyzed by generalized least squares method (P < 0.05). Results: Generalized least squares analysis revealed that Sof-Lex Spiral wheels group showed the significantly lower ${\Delta}E$ values compared to PoGo and control group (P < 0.05). The ${\Delta}E$ values of polished group showed the significantly lower than the ${\Delta}E$ values of unpolished group (P < 0.05). Regarding color changes of composite resins, there was no significant difference between the ${\Delta}E$ values of Filtek Z250 and Filtek Z350 XT Universal restorative in all time intervals (P < 0.05). Tetric N-Ceram Bulk Fill showed the significantly lower ${\Delta}E$ values compared to other composite resins in 1, 2, 3 weeks (P < 0.05). Conclusion: Within the limitations of this study, polishing methods influence the color stabilities of composite resins. The group polished with Sof-Lex Spiral Wheels showed more resistance to discoloration than group polished with PoGo.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.43-61
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• 2019

Development of technologies in artificial intelligence has been rapidly increasing with the Fourth Industrial Revolution, and researches related to AI have been actively conducted in a variety of fields such as autonomous vehicles, natural language processing, and robotics. These researches have been focused on solving cognitive problems such as learning and problem solving related to human intelligence from the 1950s. The field of artificial intelligence has achieved more technological advance than ever, due to recent interest in technology and research on various algorithms. The knowledge-based system is a sub-domain of artificial intelligence, and it aims to enable artificial intelligence agents to make decisions by using machine-readable and processible knowledge constructed from complex and informal human knowledge and rules in various fields. A knowledge base is used to optimize information collection, organization, and retrieval, and recently it is used with statistical artificial intelligence such as machine learning. Recently, the purpose of the knowledge base is to express, publish, and share knowledge on the web by describing and connecting web resources such as pages and data. These knowledge bases are used for intelligent processing in various fields of artificial intelligence such as question answering system of the smart speaker. However, building a useful knowledge base is a time-consuming task and still requires a lot of effort of the experts. In recent years, many kinds of research and technologies of knowledge based artificial intelligence use DBpedia that is one of the biggest knowledge base aiming to extract structured content from the various information of Wikipedia. DBpedia contains various information extracted from Wikipedia such as a title, categories, and links, but the most useful knowledge is from infobox of Wikipedia that presents a summary of some unifying aspect created by users. These knowledge are created by the mapping rule between infobox structures and DBpedia ontology schema defined in DBpedia Extraction Framework. In this way, DBpedia can expect high reliability in terms of accuracy of knowledge by using the method of generating knowledge from semi-structured infobox data created by users. However, since only about 50% of all wiki pages contain infobox in Korean Wikipedia, DBpedia has limitations in term of knowledge scalability. This paper proposes a method to extract knowledge from text documents according to the ontology schema using machine learning. In order to demonstrate the appropriateness of this method, we explain a knowledge extraction model according to the DBpedia ontology schema by learning Wikipedia infoboxes. Our knowledge extraction model consists of three steps, document classification as ontology classes, proper sentence classification to extract triples, and value selection and transformation into RDF triple structure. The structure of Wikipedia infobox are defined as infobox templates that provide standardized information across related articles, and DBpedia ontology schema can be mapped these infobox templates. Based on these mapping relations, we classify the input document according to infobox categories which means ontology classes. After determining the classification of the input document, we classify the appropriate sentence according to attributes belonging to the classification. Finally, we extract knowledge from sentences that are classified as appropriate, and we convert knowledge into a form of triples. In order to train models, we generated training data set from Wikipedia dump using a method to add BIO tags to sentences, so we trained about 200 classes and about 2,500 relations for extracting knowledge. Furthermore, we evaluated comparative experiments of CRF and Bi-LSTM-CRF for the knowledge extraction process. Through this proposed process, it is possible to utilize structured knowledge by extracting knowledge according to the ontology schema from text documents. In addition, this methodology can significantly reduce the effort of the experts to construct instances according to the ontology schema.

• 한국벤처창업학회:학술대회논문집
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• 2018.11a
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• pp.165-175
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• 2018

Since the 1997 financial crisis, large scale unemployment and poverty have become serious, and public and social job creation projects have been carried out. However, with the limitations of low-wage and short-term jobs, the need for long-term and high quality jobs gradually began to attract attention. In recent years, social enterprises have grown both quantitatively and qualitatively and interest in social enterprises has increased. And also it is interested in the determinants of success and failure of social enterprises in the academic field. In this study, we examined the effects of social enterprise characteristics on financial and social performance, and we analyzed empirically by using social enterprises registered in the Korea Social Enterprise Agency. The financial performance of the social enterprise is measured by the net income ratio, operating income ratio, and the return on asset. The social performance of the social enterprise is measured by total number of workers and the employment rate of the vulnerable social groups. The characteristics of the social enterprise include the CEO characteristics (gender, age, experience in operating the social enterprise), the firm size, and the elapsed time of the authentication. The results of the empirical analysis are as follows. First, as a result of analysis for the effect on financial performance, we found that the financial performance have a statistically significant positive relationship with firm size, organizational form, government subsidies and capital adequacy ratio. And it is found that the social performance have a statistically significant negative relationship with CEO age, credit debt dependence. Second, as a result of analysis for the effect on social performance, we foumd that total number of workers have a significant positive relationships with CEO gender, CEO age, and firm size, government subsidies, while total number of workers have a significant negative relationship with certification type and industry dummy. On the other hand, the employment rate of the vulnerable social groups have a siginificant positive relationship with CEO gender and certification type and It have not statistically significant relationship with the government subsidies and the firm size.

• The Korean Journal of Archival Studies
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• no.38
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• pp.265-309
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• 2013

In response to the current electronic record environment, storing electronic records for necessary long terms have been the topic of the times. Especially, the method to preserving original form such as original functional property and bit stream becomes the key to long term preservation of electronic records. Until now in Korea migration methods were chosen as long term preservation strategy for public records, but the limitations were that the functionality and the original bit stream could not be maintained. Among the strategies for long term preservation of electronic records, emulation has significant strengths in that it can replicate the original form of electronic records without changes in the bit stream, and that unlike migration it can establish a single preservation strategy without needing to apply individual strategies according to type of electronic record. Especially because it can replicate the functional components that cannot be implemented in the current long term preservation format, there is a need to study the application method based on the studies of electronic record types currently used by public institutions. This study, to explore the methods for applying emulation as a strategy for the long term preservation of electronic records, reviews the latest study cases from the west about emulation as base study, and tries to analyze the specific cases about the feasibility, target, and methods of emulation. Through this the study tries to explore the implications for domestic application as well as the strengths and weaknesses of emulation. To do this, the study analyses the concept, strengths and weaknesses of emulation as a long term preservation strategy, the analyses the latest best cases of emulation in the west; CAMiLEON, KB, Planets, and KEEP project. Based on these analysis this study tries to suggest implications and application methods for electronic records in the future in Korea.