• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.119-128
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• 2023

This study was conducted to present an alternative instructional model through natural experience activities by developing a natural experience activity program that can learn and feel how to recognize and act on nature based on flow learning. In order to achieve the purpose of the study, a nature experience program, which consists of four stages of meeting nature, exploring nature, playing with nature and sharing emotions, was developed based on the main procedures of each stage of the ADDlE instructional design model. Through the research process, activities and precautions for each stage of the nature experience activity program were presented, and major educational implications were discussed based on the developed program. The nature experience program developed through the study can provide teachers with a basic direction for nature experience activities along with changing their perception of how to do nature experience activities, and infants are expected to become learners who freely feel, experience nature and make up their own knowledge through the nature experience program.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.2
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• pp.27-37
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• 2023

The purpose of this study was to analyze the effect of the online extracurricular program operated by the university. The program contents applied in the study included learning strategies such as time management, goal setting, note taking, and memorization methods. The program used in the study was operated in an online environment, and the content was developed between 27 and 29 minutes. The developed contents can be taken using the learning management system. The variables selected to analyze the effects of this program were learning strategies and learning flow, and satisfaction was also included to examine the responses of program participants. The results of the study are as follows. First, learning strategies and learning flow showed statistically significant differences. This result is because the content was composed of meaningful sub-topics by selecting the elements necessary for learning activities. Second, as a result of program satisfaction analysis, it was confirmed that the average for all questions was high. Among them, the average of the item that the theme and contents of the program were useful was the highest. Third, open responses were analyzed by classifying them into cognitive and affective domains. In the cognitive domain, meanings such as knowledge, understanding, and application were presented as keywords, and in the affective domain, a number of keywords for motivation and attitude change were presented. This study is significant in that it provided practical programs necessary for university freshmen and analyzed their effects.

• Journal of Veterinary Clinics
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• v.41 no.4
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• pp.207-214
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• 2024

An adult castrated male dog was presented with persistent hematochezia. Digital rectal examination and endoscopy found multiple colorectal masses. Complete blood count and serum biochemical results were within the reference interval. Fine needle aspirate of the masses indicated a diagnosis of inflamed polyps with a primary differential of malignancy. Histopathologic examination using endoscopy-guided incisional biopsy of the masses revealed an inflamed neoplasm with ossification. A colectomy was performed to remove the tumor. Subsequent histopathologic examination of the surgically resected masses resulted in a diagnosis of colorectal carcinoma in situ (CiS) with immune infiltrates, which were subject to immunohistochemical and flow cytometric immunophenotyping. The immunohistochemistry confirmed intraepithelial CD3⁺ T cells within CiS. The flow cytometric analysis indicated tumor-infiltrating CD4⁺ T, CD8⁺ T, and CD11b⁺ myeloid subsets. The flow cytometric analysis of circulating and tumor-infiltrating leukocytes demonstrated a preferential expansion of CD25⁺FOXP3⁺ regulatory T cells within CiS. To the author's knowledge, this is the first report to show clinical evidence emphasizing the immunogenicity and immune-suppressive environment of canine colorectal CiS. Our case will be valuable in providing a rationale for basic research that dissects the immune environment for canine colorectal cancers for the future development of cancer immunotherapy.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.25-38
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• 2019

Selecting high-quality information that meets the interests and needs of users among the overflowing contents is becoming more important as the generation continues. In the flood of information, efforts to reflect the intention of the user in the search result better are being tried, rather than recognizing the information request as a simple string. Also, large IT companies such as Google and Microsoft focus on developing knowledge-based technologies including search engines which provide users with satisfaction and convenience. Especially, the finance is one of the fields expected to have the usefulness and potential of text data analysis because it's constantly generating new information, and the earlier the information is, the more valuable it is. Automatic knowledge extraction can be effective in areas where information flow is vast, such as financial sector, and new information continues to emerge. However, there are several practical difficulties faced by automatic knowledge extraction. First, there are difficulties in making corpus from different fields with same algorithm, and it is difficult to extract good quality triple. Second, it becomes more difficult to produce labeled text data by people if the extent and scope of knowledge increases and patterns are constantly updated. Third, performance evaluation is difficult due to the characteristics of unsupervised learning. Finally, problem definition for automatic knowledge extraction is not easy because of ambiguous conceptual characteristics of knowledge. So, in order to overcome limits described above and improve the semantic performance of stock-related information searching, this study attempts to extract the knowledge entity by using neural tensor network and evaluate the performance of them. Different from other references, the purpose of this study is to extract knowledge entity which is related to individual stock items. Various but relatively simple data processing methods are applied in the presented model to solve the problems of previous researches and to enhance the effectiveness of the model. From these processes, this study has the following three significances. First, A practical and simple automatic knowledge extraction method that can be applied. Second, the possibility of performance evaluation is presented through simple problem definition. Finally, the expressiveness of the knowledge increased by generating input data on a sentence basis without complex morphological analysis. The results of the empirical analysis and objective performance evaluation method are also presented. The empirical study to confirm the usefulness of the presented model, experts' reports about individual 30 stocks which are top 30 items based on frequency of publication from May 30, 2017 to May 21, 2018 are used. the total number of reports are 5,600, and 3,074 reports, which accounts about 55% of the total, is designated as a training set, and other 45% of reports are designated as a testing set. Before constructing the model, all reports of a training set are classified by stocks, and their entities are extracted using named entity recognition tool which is the KKMA. for each stocks, top 100 entities based on appearance frequency are selected, and become vectorized using one-hot encoding. After that, by using neural tensor network, the same number of score functions as stocks are trained. Thus, if a new entity from a testing set appears, we can try to calculate the score by putting it into every single score function, and the stock of the function with the highest score is predicted as the related item with the entity. To evaluate presented models, we confirm prediction power and determining whether the score functions are well constructed by calculating hit ratio for all reports of testing set. As a result of the empirical study, the presented model shows 69.3% hit accuracy for testing set which consists of 2,526 reports. this hit ratio is meaningfully high despite of some constraints for conducting research. Looking at the prediction performance of the model for each stocks, only 3 stocks, which are LG ELECTRONICS, KiaMtr, and Mando, show extremely low performance than average. this result maybe due to the interference effect with other similar items and generation of new knowledge. In this paper, we propose a methodology to find out key entities or their combinations which are necessary to search related information in accordance with the user's investment intention. Graph data is generated by using only the named entity recognition tool and applied to the neural tensor network without learning corpus or word vectors for the field. From the empirical test, we confirm the effectiveness of the presented model as described above. However, there also exist some limits and things to complement. Representatively, the phenomenon that the model performance is especially bad for only some stocks shows the need for further researches. Finally, through the empirical study, we confirmed that the learning method presented in this study can be used for the purpose of matching the new text information semantically with the related stocks.

• Information Systems Review
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• v.17 no.2
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• pp.101-132
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• 2015

National technical qualifications to enhance an individual's vocational skills, the competitiveness of companies and countries have an important function to improve. Especially 'qualifications' will have a signal function to show objectively measure an individual's ability with the 'Education' The "knowledge necessary for the performance of their duties. Technology will gain knowledge about such assessment or recognition is based on certain criteria and procedures." Learning to qualify are being made through a smart learning a lot. Due to the revolution of the Internet in recent years with the development of information and communication technologies are entering into a knowledge society, the importance of information and knowledge. This contemporary smart learning education system is continuing to rapidly growing in pace with the changing time and space constraints, without teaching and learning is taking place. The purpose of this study is the ARCS motivation theory can determine a representative theory of human motivation factors and basic psychological needs dealing with the human nature of the psychological needs Interactivity and immersive learning, and to validate the empirical causality Affecting the continued use of smart learning through fun. Specifically, attention, relevance, confidence in the ARCS motivation, see their effect on the learning flow through the satisfaction we analyze empirically. Through this national technical qualifications smart learner's learning by supporting the implicit synchronization of students in learning are the degree of continued use. Therefore, to achieve the objectives of national technical qualifications and skills through a smart learning can contribute to the activation of the development and certification of course industry.

• Journal of Korean Library and Information Science Society
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• v.53 no.4
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• pp.1-23
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• 2022

The record is both an palmistry and a fingerprint for human life and world of knowledge. Books, which are synonymous with records, are a channel through which history is traced and a window to savor. And the most primitive form of the book is the classics of ancient Greece and Rome, and the best part is the manuscript. It refers to the original recorded on papyrus, parchment, paper, etc. and the translated and translated copies of them. If we reflect on the long history of knowledge and culture, the classic manuscripts have continued to scatter and collect like a river flowing through time and space due to not only natural disasters, but also artificial cultural vandalism and the bibliocaust. Therefore, this study traced and linked the wandering and library return of classic manuscripts from ancient Greece to the medieval Renaissance period. As a result, dynasties and empires, monarchs and prime ministers, generals and conquerors, nobles and wealthy, clergy and scholars concentrated on collecting and translating classical manuscripts. If the ancient Greek and Roman scholars did not record knowledge and wisdom in papyrus and parchment, the medieval Byzantine and Islamic Empires did not collect, translate and reproduce classics, the book hunters didn't keep track of the classics, the Renaissance humanists did not restore and reinterpret the classics through intellectual exodus, and the historical library did not collect and preserve the classics and their translations, modern people would not have access to classical knowledge. Nevertheless, the tracing of classical manuscripts is an aporia in which many difficulties and contradictions overlap in the tracing of classic manuscripts due to historical flow, geographical wandering, and linguistic transformation. When a new manuscript is discovered and interpreted, correction and supplementation are inevitable, so the pursuit of the wandering and return of the classic manuscripts through follow-up research must be continued.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.597-603
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• 2023

The paradigm of military operations has evolved from platform-centric warfare to network-centric warfare and further to information-centric warfare, driven by advancements in information technology. In recent years, with the development of cutting-edge technologies such as big data, artificial intelligence, and the Internet of Things (IoT), military operations are transitioning towards knowledge-centric warfare (KCW), based on artificial intelligence. Consequently, the military places significant emphasis on integrating advanced information and communication technologies (ICT) to establish reliable C4I (Command, Control, Communication, Computer, Intelligence) systems. This research emphasizes the need to apply data mining techniques to analyze and evaluate various aspects of C4I systems, including enhancing combat capabilities, optimizing utilization in network-based environments, efficiently distributing information flow, facilitating smooth communication, and effectively implementing knowledge sharing. Data mining serves as a fundamental technology in modern big data analysis, and this study utilizes it to analyze real-world cases and propose practical strategies to maximize the efficiency of military command and control systems. The research outcomes are expected to provide valuable insights into the performance of C4I systems and reinforce knowledge-centric warfare in contemporary military operations.

• Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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• 2002.10b
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• pp.95-96
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• 2002

The operation of proceeding bearing in the conditions of misaligned axis of proceeding and bush leads to the load concentration on the bearing edges causing further mixed lubrication conditions, unstable operation and intensive wear of mating parts. For the design process of proceeding bearing the knowledge of static characteristics determined from the oil film pressure and temperature distribution is very important. For the 3-lobe proceeding bearing, the pressure, temperature and viscosity fields, load capacity, minimum oil film thickness, power loss, oil flow and maximum oil film temperature have been determined by iterative solution of the Reynolds', energy and viscosity equations. The paper introduces the results of theoretical investigations of static characteristics of 3-lobe proceeding bearing operating at misaligned axis of proceeding and bush. An effect of misalignment ratio, length to diameter ratio of the proceeding bearing, the lobe clearance ratio on the static characteristics was investigated. Laminar, adiabatic model of oil film for the solution of Reynolds, energy and viscosity equations was applied.

• The Journal of Information Systems
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• v.9 no.1
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• pp.217-234
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• 2000

This paper is to develop an information infrastructure to support managing process in design, planning, production, and quality control. Multi-media data set of design, product, and management information flow between organizational units of a virtual enterprise. The process is the logical organization of people, technology and practices incorporated into work activities to make an end product. The core of the infrastructure is the enterprise framework which coordinates activities and controls the process. The proposed framework manages collaborative activities across space and time, and between users and computers who share information in virtual community. It utilizes knowledge distributed through virtual community and fosters cooperation between organizations. The framework provides the following facilities； coordinating activities, sharing data and processes, visualizing multi-media data, customizing and updating processes, reusing data and processes. This paper covers design and manufacturing activities but our focus is initially targeted at design area.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.24 no.1
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• pp.85-92
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• 2000

Easy measurement method of orthogonal triple-sensor hot-wire anemometer is developed. Advantages of the new method is that it does not require either the exact orthogonality of the installed wires which cannot be kept during the probe manufacture and repair, nor the knowledge of the wire installation angles and the yaw and pitch coefficient of the wires. The new method introduced yaw and pitch calibration coefficients which are designed to increase monotonically with yaw and pitch angles. So the resulting calibration network is simple to recognize compared with that of the previously suggested calibration method. Verification experiments showed good accuracy and independency of the directional calibration on velocity.