• Journal of the Korean Society for Library and Information Science
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• v.49 no.4
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• pp.125-157
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• 2015

In Korean Studies, there have been made many studies for finding the identity as the intrinsic academic field, because the Korean studies have complex intertwined characteristics with other fields. However, previous related studies have been mostly focused on the qualitative content analysis method related to the major Korean Studies, the study applying the bibliometric method was not conducted. Therefore, the purpose of this study is to draw intellectual structures about the domestic and overseas Korean studies academic papers applying the bibliometric methods, and to analyze content of intellectual structures by focus group interview (FGI). As the result of this study, the intellectual structure in the domestic Korean Studies had the characteristics of the Humanities, and the intellectual structure in the foreign Korean Studies had the characteristics of the Social Sciences. Also, the domestic Korean Studies encompassed a wide range of period from ancient to modern times, while the foreign Korean Studies focused on a modern and contemporary times. This study has a significance in the way that it is the first study to draw the intellectual structures in the domestic and foreign Korean Studies applying the bibliometric method, and then to carry out the comprehensive analysis through FGI with specialists in Korean Studies. However, in order to do more meaningful one-to-one comparison studies about the field of the domestic and foreign Korean Studies, many follow-up co-studies reflecting diverse opinions of many researchers in Korean Studies will be necessary.

• Korean Journal of Construction Engineering and Management
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• v.20 no.6
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• pp.107-116
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• 2019

Korean construction engineering firms want to pave the way for expansion of overseas markets through the World Bank's Official Development Assistance (ODA) projects as a way to improve their overseas project performance. However, since the World Bank project competes with global companies for limited projects, building partnerships with suitable business partners is essential to gain an upper hand in bidding competition and meet the institutional conditions of the recipient country. In this regard, many network studies have been conducted in the past through Social Network Analysis (SNA), but few have been analyzed based on the process of changes in the network. So, This study collected winning data from the three Southeast Asian countries that ended after the World Bank's ODA project performed smoothly, and established a learning-based link prediction model that reflected the dynamic nature of the network. As a result, the 11 main variables acting on building a cooperative relationship between winning companies were derived and the effect of each variables on the probability value of cooperation between individual links was identified.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.566-566
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• 2016

정부의 4대강 물 관리 종합대책에 따르면, 수계 전체 오염원중 비점오염원이 차지하는 오염부하가 22~37%에 달하는 것으로 추정되고 있다. 하지만 이러한 중요성에도 불구하고 농업지역 비점오염물질 저감을 위한 대책은 논과 밭과 같이 농경지에 관한 것이 대부분이었으며, 축산은 관리 기준의 가장 기초라고 할 수 있는 지목분류기준에 조차 별도의 기준이 없는 실정이다. 가축분뇨공공처리시설과 가축분뇨자원화시설은 가축분뇨를 처리하여야 하는 점오염원이지만, 차량 운반시 발생되는 일부 분뇨와 처리장 세척 시 발생되는 일부 오염물질들이 비점오염원으로 작용하고 있으며 이에 대한 관리가 미흡한 실정이다. 따라서 본 연구에서는 가축분뇨공공처리시설과 가축분뇨자원화시설에서 강우시 발생되는 유출특성을 분석하였으며, 이를 통해 가축분뇨처리시설의 비점오염 관리 처리시설 설치 시에 중요한 기초자료로 활용하고자 한다. 본 연구에서는 경상북도 영천시, 경기도 용인시, 전라북도 정읍시, 강원도 횡성군 등 축산밀집 지역을 대상으로 연 5회 강우시 모니터링을 실시하였으며, 모니터링자료를 바탕으로 유량가중평균농도(Event Mean Concentration, EMC)를 산정하였다. 영천시 가축분뇨자원화시설의EMC 산정결과 평균 BOD 5.1 mg/L, TN 6.90 mg/L, TP 0.91 mg/L로 산정되었으며, 용인시 개별처리농가의 경우 BOD 6.8 mg/L, TN 3.74 mg/L, TP 1.04 mg/L로, 횡성군 가축분뇨공공처리장의 경우 BOD 4.5 mg/L, TN 3.56 mg/L, TP 1.60 mg/L로, 정읍시 가축분뇨공공자원화시설의 경우 BOD 4.3 mg/L, TN 6.82 mg/L, TP 0.48 mg/L로 산정되었다. BOD, TN은 영천시 가축분뇨자원화시설에서 가장 높게 나타났고, TP의 경우 횡성군 축산폐수공공처리장의 경우 높게 나타났다. 유출특성을 분석한 결과 가축분뇨자원화시설의 경우 대부분 콘크리트 기반으로 조성된 토지위에 조성되어 강우시 유량은 급격하게 상승하며, 강우가 종료되면 바로 감소하는 불투수층 지역의 특성을 나타났다. 본 연구에서 분석된 유츨특성과 EMC는 비점오염 처리시설이나 가축분뇨공공처리시설 설치시 기초데이터로 활용이 가능할 것으로 판단되며, 향후 가축분뇨처리시설의 지속적인 모니터링과 모니터링지점 확대로 자원화시설 강우유출수의 DataBase화를 통한 지속적인 연구 및 관리가 되어야 할 것으로 판단된다.

• The Journal of Korean Academy of Prosthodontics
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• v.59 no.4
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• pp.497-507
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• 2021

All-on-six concept can be used as one of the treatment options to maximize the use of available residual alveolar bone for implant-supported fixed prosthesis on edentulous patients. But this process is complex and cumbersome. Digital system can be used at multiple steps, from implantation to prosthetic restoration, to overcome this shortcoming. In this case of a maxillary edentulous patient aged 76, digital system was used for restoration of 1-piece design, screw retained fixed prosthesis from diagnosis, implant surgery to fabrication of provisional and final prosthesis. For preoperative diagnosis and treatment planning stage, intra-oral information of a patient was digitalized by direct intra-oral scan. Surgical guide and immediate provisional prosthesis was designed based on this digitalized data. Patient's inconvenience was minimized by applying immediate provisional prosthesis, which was delicately fabricated according to the location data of six implants on most suitable residual alveolar bone. Then, final prosthesis was designed and fabricated going through new interim prosthesis which was newly designed and fabricated, considering patient's requests, stable vertical dimension and occlusion, and esthetic factors using digital system. We hereby report a case successfully applying digital system to multiple steps including implant surgery to fabricating prosthesis, to simplify existing complicated implant treatment procedure to an edentulous patient.

• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.55-61
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• 2021

In this paper, we proposed a DeepLabv3+ based encoder-decoder model utilizing an attention mechanism for precise semantic segmentation. The DeepLabv3+ is a semantic segmentation method based on deep learning and is mainly used in applications such as autonomous vehicles, and infrared image analysis. In the conventional DeepLabv3+, there is little use of the encoder's intermediate feature map in the decoder part, resulting in loss in restoration process. Such restoration loss causes a problem of reducing segmentation accuracy. Therefore, the proposed method firstly minimized the restoration loss by additionally using one intermediate feature map. Furthermore, we fused hierarchically from small feature map in order to effectively utilize this. Finally, we applied an attention mechanism to the decoder to maximize the decoder's ability to converge intermediate feature maps. We evaluated the proposed method on the Cityscapes dataset, which is commonly used for street scene image segmentation research. Experiment results showed that our proposed method improved segmentation results compared to the conventional DeepLabv3+. The proposed method can be used in applications that require high accuracy.

• Food Engineering Progress
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• v.13 no.4
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• pp.297-301
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• 2009

This study was performed to develop a prediction model of sugar content for strawberry. Near-infrared (NIR) spectroscopy has been prevailed for on-line and portable applications for non-invasive quality assessment of intact fruit. This work presents effects of illumination method and coating of reflection surface of light source on prediction result of sugar content. Effect of preprocessing methods was also examined. A low-cost commercially available VIS/NIR spectrometer was used for estimation of total soluble solids content (Brix). To predict sugar contents of strawberry, the best results were obtained with the spectrum data measured under intensive illuminations at three locations induced from the light source with fiber optic bundles. Gold coating of reflection surface of light source lamp gave favorable effect to prediction result. The best results in validation of PLSR model were $r_{SEP}$ = 0.891 and SEP = 0.443 Brix under OSC preprocessing and those of PCR were $r_{SEP}$ = 0.845, SEP $r_{SEP}$= 0.520 Brix, under no preprocessing.

• Journal of Broadcast Engineering
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• v.24 no.3
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• pp.411-419
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• 2019

Nowadays we are not able to consider and imagine anything without taking into account what is called Artificial Intelligence. Even broadcasting media technologies could not be thought of outside this newly emerging technology of A.I.. Since the last part of 20th century, this technology seemingly is accelerating it's development thanks to an unbelievably enormous computational capacity of data information treatments. In conjunction with the firmly established worldwide platform companies like GAFA(Google, Amazon, Facebook, Apple), the key cutting edge technologies dubbed NBIC(Nanotech, Biotech, Information Technology, Cognitive science) converge to change the map of the current civilization by affecting the human relationship with the world and hence modifying what is essential in humans. Under the sign of the converging technologies, the relatively recently coined concepts such as 'trans(post)humanism' are emerging in the academic sphere in the North American and Major European regions. Even though the so-called trans(post)human movements are prevailing in the major technological spots, we have to say that these terms do not yet reach an unanimous acceptation among many experts coming from diverse fields. Indeed trans(post)humanism as a sort of obscure term has been a largely controversial trend. Because there have been many different opinions depending on scientific, philosophical, medical, engineering scholars like Peter Sloterdijk, K. N. Hayles, Neil Badington, Raymond Kurzweil, Hans Moravec, Laurent Alexandre, Gilbert Hottois just to name a few. However, considering the highly dazzling development of artificial intelligence technology basically functioning in conjunction with the cybernetic communication system firstly conceived by Nobert Wiener, MIT mathematician, we can not avoid questioning what A. I. signifies and how it will affect the current media communication environment.

• Journal of Practical Engineering Education
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• v.9 no.1
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• pp.69-75
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• 2017

In this paper, we analyzed the factors influencing the size of Korea Polytechnic as a public vocational education and training institution through analysis of demand, region, industry, and demand with established existing campus and new campus in Korea Polytechnic. By analyzing data on admission, training, and employment for 3 years out of 37 campuses, we have sampled 5 campuses by type of Korea Polytechnic, fused with the results derived from the literature analysis and in-depth analysis results, so that the regional campus will play a leading role and the direction of development. The selection of five campuses by type is a precedent study to analyze 37 campuses in the future. As a result of the study, the demand analysis through objective indicators such as the number of high school graduates, the number of employed persons, the presence of nearby industrial complexes, and policy variables is very important and reflects the reality well. Therefore, it is necessary to analyze the demand through the objective indicators in decision making related to the new campus at the pre-analysis stage. In addition to the general data proposed in this paper, that is, common variables in all regions, it is important to consider the factors that can reflect local demand characteristics when considering specific locations.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.3
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• pp.115-122
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• 2019

For Korean phoneme recognition, Hidden Markov-Gaussian Mixture model(HMM-GMM) or hybrid models which combine artificial neural network with HMM have been mainly used. However, current approach has limitations in that such models require force-aligned corpus training data that is manually annotated by experts. Recently, researchers used neural network based phoneme recognition model which combines recurrent neural network(RNN)-based structure with connectionist temporal classification(CTC) algorithm to overcome the problem of obtaining manually annotated training data. Yet, in terms of implementation, these RNN-based models have another difficulty in that the amount of data gets larger as the structure gets more sophisticated. This problem of large data size is particularly problematic in the Korean language, which lacks refined corpora. In this study, we introduce CTC algorithm that does not require force-alignment to create a Korean phoneme recognition model. Specifically, the phoneme recognition model is based on convolutional neural network(CNN) which requires relatively small amount of data and can be trained faster when compared to RNN based models. We present the results from two different experiments and a resulting best performing phoneme recognition model which distinguishes 49 Korean phonemes. The best performing phoneme recognition model combines CNN with 3hop Bidirectional LSTM with the final Phoneme Error Rate(PER) at 3.26. The PER is a considerable improvement compared to existing Korean phoneme recognition models that report PER ranging from 10 to 12.

• Korean Journal of Medical Ethics
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• v.21 no.4
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• pp.330-343
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• 2018

This article explores some of the ethical issues associated with the fourth industrial revolution and suggests new directions for bioethics education in Korean universities. Some countries have recently developed guidelines and regulations based on the legal and ethical considerations of the benefits and social risks of new technologies associated with the fourth industrial revolution. Foreign universities have also created courses (both classroom and online) that deal with these issues and help to ensure that these new technologies are developed in an ethically appropriate fashion. In South Korea too there have been attempts to enhance bioethics education to meet the changing demands of society. However, bioethics education in Korea remains focused on traditional bioethical topics and largely neglects the ethical issues related to emerging technologies. Furthermore, Korean universities offer no online courses in bioethics and the classroom courses that do exist are generally treated as electives. In order to improve bioethics education in Korean universities, we suggest that (a) new course should be developed for interprofessional education; (b) courses in bioethics should be treated as required subjects gradually; (c) online courses should be prepared, and (d) universities should continually revise course contents in response to the development of new technologies.