• Biomedical Engineering Letters
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• v.8 no.4
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• pp.337-344
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• 2018

Additive manufacturing (AM) is an alternative metal fabrication technology. The outstanding advantage of AM (3D-printing, direct manufacturing), is the ability to form shapes that cannot be formed with any other traditional technology. 3D-printing began as a new method of prototyping in plastics. Nowadays, AM in metals allows to realize not only net-shape geometry, but also high fatigue strength and corrosion resistant parts. This success of AM in metals enables new applications of the technology in important fields, such as production of medical implants. The 3D-printing of medical implants is an extremely rapidly developing application. The success of this development lies in the fact that patient-specific implants can promote patient recovery, as often it is the only alternative to amputation. The production of AM implants provides a relatively fast and effective solution for complex surgical cases. However, there are still numerous challenging open issues in medical 3D-printing. The goal of the current research review is to explain the whole technological and design chain of bio-medical bone implant production from the computed tomography that is performed by the surgeon, to conversion to a computer aided drawing file, to production of implants, including the necessary post-processing procedures and certification. The current work presents examples that were produced by joint work of Polygon Medical Engineering, Russia and by TechMed, the AM Center of Israel Institute of Metals. Polygon provided 3D-planning and 3D-modelling specifically for the implants production. TechMed were in charge of the optimization of models and they manufactured the implants by Electron-Beam Melting ($EBM^{(R)}$), using an Arcam $EBM^{(R)}$ A2X machine.

• Journal of Korean Theatre Studies Association
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• no.52
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• pp.159-188
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• 2014

Under the influence of postmodernism, modern writing tends to refuse an immediate conveyance of messages achieved by linear, unified writing. Such writing does not attempt any social participation and has no leading ethics, offering diverse perspectives. It simply relies on material property ignoring the 'here and now'. This discussion depends on the sensuous immediacy of works that are pure and uninterpretable, causing the "death of author" phenomena. Although the time was late, since the 1990s, discussion and work on deconstructive theater has been executed in the Korean theater world. This deconstructive work was achieved when lineal narratives were shattered through the shocking insertion of fragmentary episodes and imagery. Moreover, such plays were shocking presentations of severance in conversation; lack of communication; loss of pride and love; and a world devastated by violence and madness. In the 2000s, such a movement helped form a new paradigm in the theater through reinterpretation and parody of traditional dramas, while drawing general attention to postmodern theater. However, as the problems of postmodern theater are perceived through study, the limit of plays with a postmodern tendency is pointed out: such plays merely display 'deconstruction'. This thesis will examine reflective thought on postmodern theater seeking "deconstruction without alternatives" and the aesthetic concept of "le politique" by Jacques Ranciere. It will also look through the overlap of images as interval-estrangement, "lettre morte", and simulacre representing mise-en-scene aesthetics weaving "political writing". This study is meaningful in that it tries to extend the new aesthetic horizon of Korean theater, examining in 2009 and by Koh Sun-Woong in 2011, directed by Park Chung-Hee in 2010 and directed by Park Keun-Hyung in 2009.

• The Korean Journal of Archival Studies
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• no.61
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• pp.31-69
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• 2019

This study seeks to find an organizational method suitable for literary records through a review of the application of records management and an archival exploration of the literary materials of the authors, which are housed in a decentralized collection of domestic literary museums. First, through literature research and case analysis, I explored the "principles of original order" for organizing by characteristics and values of literary records. Next, the organization model was applied to the literature materials of author Jo Jung-rae(1943~) that existed in the form of a 'split-collection' in the local literature museum after drawing a model suitable for organizing literary records as an example. In order to gain an integrated approach to the 'split-collection' by Cho Jung-rae, the research result suggests a model provided through a single gateway by linking descriptive information related to ICA AtoM-based 'Records-Writers-Literature Museum'. The organizational model for the collection of individual literature museum was designed to provide richer collective and contextual information compared to the existing simple list by developing a hierarchical classification system in accordance with the principle of record organizing.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.343-347
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• 2019

As an important branch of decoration of blue and white painting, folk blue and white painting not only has a very long history, but also has a very distinctive folklore and artistry. During the Ming and qing dynasties is an important period, in the development of the folk blue and white painting, the folk craftsmen through long-term study and practice, constantly familiar with drawing technique to master the method, combining folk life form, and folk painting decorative expression aesthetic demand, thus make the painting MinSuXing and artistic expression continuously into the blue and white porcelain painting in the process of development, become an important and indispensable component of ceramic decoration.

• Journal of Internet Computing and Services
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• v.22 no.5
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• pp.79-86
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• 2021

As the usefulness of big data analysis has been drawing attention, many studies in the business research area begin to use big data to predict firm performance. Previous studies mainly rely on data outside of the firm through news articles and social media platforms. The voices within the firm in the form of employee satisfaction or evaluation of the strength and weakness of the firm can potentially affect firm value. However, there is insufficient evidence that online employee reviews are valid to predict firm value because the data is relatively difficult to obtain. To fill this gap, from 2014 to 2019, we employed 97,216 reviews collected by JobPlanet, an online firm review website in Korea, and developed a machine learning-based predictive model. Among the proposed models, the LSTM-based model showed the highest accuracy at 73.2%, and the MAE showed the lowest error at 0.359. We expect that this study can be a useful case in the field of firm value prediction on domestic companies.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.11
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• pp.69-78
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• 2019

The purpose of this study is to propose a modeling methodology through the exchange of coordinate data of a three-dimensional custom curtain wall panel between Rhino and Revit, and to examine the validity of the model implemented in the drawing. Although the modeling means and method are different, a fundamental principle is that all three-dimensional modeling begins by defining the position of the points, the most primitive element of geometry, in the XYZ coordinate space. For the BIM modeling methodology proposal based on this geometry basic concept, the functions and characteristics associated with the points of Rhino and Revit programs are identified, and then BIM implementation process model is organized and systemized through the setting of the interoperability process algorithm. The BIM implementation process model proposed in this study is (1) Modeling and panelizing surface into individual panels using Rhino and Grasshopper; (2) Extraction of vertex coordinate data from individual panels and create CSV file; (3) Curtain wall modeling through Adaptive Component Family in Revit and (4) Automatic creation of Revit curtain wall panels through API. The proposed process model is expected to help reduce design errors and improve component and construction quality by automatically converting general elements into architectural meaningful information, automating a set of processes that build them into BIM data, and enabling consistent and integrated design management.

• Electronics and Telecommunications Trends
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• v.36 no.1
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• pp.54-63
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• 2021

Since the recent COVID-19 pandemic, countries have been strengthening trade protection for their security, and the importance of securing strategic materials, such as food, is drawing attention. In addition to the cultural aspects, the global preference for food produced in Korea is increasing because of the Korean Wave. Thus, the Korean food industry can be developed into a high-value-added export food industry. Currently, Korea has a low self-sufficiency rate for foodstuffs apart from rice. Korea also suffers from problems arising from population decline, aging, rapid climate change, and various animal and plant diseases. It is necessary to develop technologies that can overcome the production structures highly dependent on the outside world of food and foster them into export-type system industries. The global agricultural industry-related technologies are actively being modified via data accumulation, e.g., environmental data, production information, and distribution and consumption information in climate and production facilities, and by actively expanding the introduction of the latest information and communication technologies such as big data and artificial intelligence. However, long-term research and investment should precede the field of living organisms. Compared to other industries, it is necessary to overcome poor production and labor environment investment efficiency in the food industry with respect to the production cost, equipment postmanagement, development tailored to the eye level of field workers, and service models suitable for production facilities of various sizes. This paper discusses the flow of domestic and international technologies that form the core issues of the site centered on the 4th Industrial Revolution in the field of agriculture, livestock, and fisheries. It also explains the environmental awareness production technologies centered on sustainable intelligence platforms that link climate change responses, optimization of energy costs, and mass production for unmanned production, distribution, and consumption using the unstructured data obtained based on detection and growth measurement data.

• Journal of the Korea Society of Computer and Information
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• v.28 no.3
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• pp.111-117
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• 2023

The oral cavity is a window into the health of the whole body and a gateway for many harmful bacteria. It is a very important part of our body. The biggest advantage of genetic testing is that it can systematically prevent and manage diseases by examining bacteria in the oral cavity and predicting systemic diseases that may occur in our body through big data AI algorithm analysis. Therefore, in this paper, the researcher's family conducts genetic testing directly to derive the results. In this study, in November 2022, 4 family members of the researcher listened to a prior explanation from 1 dentist and 1 dental hygienist at J Dental Clinic, a preventive dental clinic located in Seoul, and after filling out the consent form, oral examination and genetic testing were performed. Genetic testing was performed with Dr.^*** for adults and He^***** products for middle and elementary school students. Genetic testing, which is currently being conducted in Korea, has the advantage that subjects can access it relatively easily without drawing blood, but it also has limitations such as time and cost. Nevertheless, I think it is a part to be highly evaluated in that systemic diseases can be predicted through oral microorganisms.

• Journal of Preventive Medicine and Public Health
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• v.55 no.6
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• pp.539-548
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• 2022

Objectives: The purpose of this study was to assess the organizational effectiveness of the introduction of a healthcare information system (electronic medical records and databases) in healthcare in Kazakhstan. Methods: The authors used a combination of 2 methods: expert assessment and strengths, weaknesses, opportunities, and threats (SWOT) analysis. SWOT analysis is a necessary element of research, constituting a mandatory preliminary stage both when drawing up strategic plans and for taking corrective measures in the future. The expert survey was conducted using 2 questionnaires. Results: The study involved 40 experts drawn from specialists in primary healthcare in Aktobe: 15 representatives of administrative and managerial personnel (chief doctors and their deputies, heads of medical statistics offices, organizational and methodological offices, and internal audit services) and 25 general practitioners. Conclusions: The following functional indicators of the medical and organizational effectiveness of the introduction of information systems in polyclinics were highlighted: first, improvement of administrative control, followed in descending order by registration and movement of medical documentation, statistical reporting and process results, and the cost of employees' working time. There has been no reduction in financial costs, namely in terms of the costs of copying, delivery of information in paper form, technical equipment, and paper.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.1
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• pp.163-170
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• 2022

This paper introduces a method of extracting facial features due to unrefined inputs in real life and improving the problem of not guaranteeing the ideal performance and speed of the object recognition model through a storage algorithm through weight summation. Many facial recognition processes ensure accuracy in ideal situations, but the problem of not being able to cope with numerous biases that can occur in real life is drawing attention, which may soon lead to serious problems in the face recognition process closely related to security. This paper presents a method of quickly and accurately recognizing faces in real time by comparing feature points extracted as input with a small number of feature points that are not overfit to multiple biases, using that various variables such as picture composition eventually take an average form.