• Industry Promotion Research
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• v.7 no.1
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• pp.25-34
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• 2022

The purpose of this paper was to confirm the source of Shipsong called Yookchen or Yooksheen used in Myeongleehak and the meaning of Shipsong in major classics. It is to investigate the concept of Shipsong used in modern Myeongri, and to study in-depth the concept of Shipsong in a more advanced form, not just in family relationships. In reality, the concept of Yookchen was defined and the term Yookchen was first used in Yeonhaejapyeong. Most of the contents of the major classics, such as Yeonhaejapyeong, Sammyeontonghwe, and Japyeonjinjeong, were limited to setting only family concepts. Then, in 1963, Sajoojeongsul was published, which explained both family relations and the action of Shipsong. In particular, it is noteworthy that the scientific reputation written by Ki-seung Kim did not only explain the concept of Shipsong but also opened a new chapter to confirm human psychology and aptitude. In this study, I tried to find out the concept and tendency of Shipsong described in Kim Ki-seung's Science Myeongri in the major classics and how the concept changed. I hope this study will be of some help to the study of Myeongleehak in the future in terms of understanding and utilization of Shipsong.

• The Journal of the Korea Contents Association
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• v.22 no.1
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• pp.162-171
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• 2022

According to <2020 Industry character white paper> No.1 character products are toys, which are 58%, and every year. the Art-toy development is receiving attention. Because of this situation, the Art-toy market is growing, and the number of Art-toy artists and companies is also rising. As the Art-toy markets are growing variety of Art-toy needs to be created, and also need to analyze and researched about Art-toy. The Art-toy is primarily personified and is created based on a human proportion body figure. The research conducted a case analysis of Art-toys and a preference survey for general adult men and women through the head-to-head ratio, which is a measurement standard for human proportions. As a result, The Art-toy has an ideal shape ratio and crafting area according to the body ratio. As preference research from men and women, men show seven heads life-sized and women appeared to three heads life-sized figures are most popular. The two and three heads life-sized have a high preference, and the Art-toy case had a relationship. As the Art-toy case and research of preference help to develop the Art-toy design, and following this research will be used as basic data when creating or researching about the Art-toy in the future.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.57-65
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• 2021

A hyper-connected intelligence information society is emerging that creates new value by converging IoT, AI, and Bigdata, which are new technologies of the fourth industrial revolution, in all industrial fields. Everything is connected to the network and data is exploding, and artificial intelligence can learn on its own and even intellectual judgment functions are possible. In particular, the Internet of Things provides a new communication environment that can be connected to anything, anytime, anywhere, enabling super-connections where everything is connected. Artificial intelligence technology is implemented so that computers can execute human perceptions, learning, reasoning, and natural language processing. Artificial intelligence is developing advanced technologies such as machine learning, deep learning, natural language processing, voice recognition, and visual recognition, and includes software, machine learning, and cloud technologies specialized in various applications such as safety, medical, defense, finance, and welfare. Through this, it is utilized in various fields throughout the industry to provide human convenience and new values. However, on the contrary, it is time to respond as intelligent and sophisticated cyber threats are increasing and accompanied by potential adverse functions such as securing the technical safety of new technologies. In this paper, we propose a new data modeling method to enable IoT integrated security control by utilizing artificial intelligence technology as a way to solve these adverse functions.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.4
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• pp.179-184
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• 2021

Along with the development of the fourth industry, the public sector has increasingly paid more attention to search using drones and real-time monitoring, for various goals. The drones are used and researched to complete a variety of searching and monitoring missions, including search for missing persons, security, coastal patrol and monitoring, speed enforcement, highway and urban traffic monitoring, fire and wildfire monitoring, monitoring of illegal fishing in reservoirs and protest rally monitoring. Police stations, fire departments and military authorities, however, concentrate on the hardware part, so there are little research on efficient communication systems for the real-time monitoring of data collected from high-performance resolution and infrared thermal imagining cameras, and analysis programs suitable for special missions. In order to increase the efficiency of drones with the searching mission, this paper, therefore, attempts to propose an image analysis technique to increase the precision of search by producing image data suitable for searching missions, based on images obtained from drones and provide the foundation for improving relevant policies and establishing proper platforms, based on actual field cases and experiments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.537-542
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• 2021

This paper improves the possibility of recognizing fast-moving objects through the YOLO (You Only Look Once) deep learning recognition model in an application environment for object recognition in images. The purpose was to study the method of collecting semantic data through processing. In the recognition model, the moving object recognition error was identified as unrecognized because of the difference between the frame rate of the camera and the moving speed of the object and a misrecognition due to the existence of a similar object in an environment adjacent to the object. To minimize the recognition errors by compensating for errors, such as unrecognized and misrecognized objects through the proposed data collection method, and applying vision processing technology for the causes of errors that may occur in images acquired for sports (tennis games) that can represent real similar environments. The effectiveness of effective secondary data collection was improved by research on methods and processing structures. Therefore, by applying the data collection method proposed in this study, ordinary people can collect and manage data to improve their health and athletic performance in the sports and health industry through the simple shooting of a smart-phone camera.

• Journal of the Korean Society of Floral Art and Design
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• no.42
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• pp.97-116
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• 2020

In this paper, the need for lifelong education and distance education is increasing due to the decrease of population and the increase of life expectancy. In addition, the popularization and everydayization of education, which combines daily life and learning, is an educational feature. Individuals can more easily access knowledge, and video plays an important role. Video content is the most basic medium that leads to the popularization and daily life of education. With the development of information and communication technology, popularization of media content production and editing technology, anyone can easily create and share. The video education contents business is expected to increase globally through SNS. Especially, the video contents education industry related to flower design is regarded as a suitable content field in an era where environment is essential. In the modern era, characterized by the "one-person household, one-person media" era, the environment of plants protects people from stress by restoring human emotional efficiency, environmental comfort, and stability. In other words, because humans have a preference for nature, plants play an important role for humanity recovery. Against this backdrop, flower design is expected to be a promising industrial sector with high growth, high value added and high job creation effects. In the era of the fourth revolution of the human race, competitive video contents are expected to influence the growth of the future country. will be.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.135-144
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• 2021

Recently, data-driven decision-making technology has become a key technology leading the data industry, and machine learning technology for this requires high-quality training datasets. However, real-world data contains missing values for various reasons, which degrades the performance of prediction models learned from the poor training data. Therefore, in order to build a high-performance model from real-world datasets, many studies on automatically imputing missing values in initial training data have been actively conducted. Many of conventional machine learning-based imputation techniques for handling missing data involve very time-consuming and cumbersome work because they are applied only to numeric type of columns or create individual predictive models for each columns. Therefore, this paper proposes a new data imputation technique called 'Denoising Self-Attention Network (DSAN)', which can be applied to mixed-type dataset containing both numerical and categorical columns. DSAN can learn robust feature expression vectors by combining self-attention and denoising techniques, and can automatically interpolate multiple missing variables in parallel through multi-task learning. To verify the validity of the proposed technique, data imputation experiments has been performed after arbitrarily generating missing values for several mixed-type training data. Then we show the validity of the proposed technique by comparing the performance of the binary classification models trained on imputed data together with the errors between the original and imputed values.

• Journal of the Korean Wood Science and Technology
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• v.32 no.5
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• pp.12-19
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• 2004

This study was performed to investigate the optimum condition of protease production from submerged culture of oak mushroom (Lentinula edodes, Sanlim No. 5) and its enzymatic features. Among several combinations of media, the combination of wheat bran, corn flour, water and corn oil (WB+CF+W+ CO) yielded 84.8 U/g of maximum protease activity. This combination of ingredients, in spite of not being particularly protein-rich in comparison to the other media, allowed for good growth of the fungus and maximal protease production. Comparison of different growth medium liquids indicated that demineralized water afforded the best growth of the fungus and the highest protease activity. Acetate buffer and acidified water negatively affected The protease production peaked around 72 hr of incubation, and decreased thereafter. The molecular weights of produced protease were about 45,000 by Sephadex G-75 chromatography. The pH optimum for protease activity was 4, while maximal activity incubated at 37℃ for 1 hr was observed between pH 4~6. The optimum temperature of this protease was 55℃, and the enzyme was active over a broad temperature range (30~60℃), indicating that this protease would be suitable for a wide range of applications where. different pH and temperature are necessary, such as digestive aids, food industry, beer and tannery industries.

• Journal of The Korean Society of Agricultural Engineers
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• v.64 no.6
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• pp.87-99
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• 2022

The meat consumption per person has continuously increased in recent years. However, the labor force in the domestic livestock industry has decreased due to the declining and ageing population. In order to increase productivity, the government have developed and distributed design standard of livestock houses. Presently, report showed that the adaptation rate of the developed livestock house design standard on the real farm was still low. Thus, this paper aimed to find ways to improve the utilization of the design standard through surveys. The survey was conducted on 650 farms across the country. Analysis of the result showed that in the poultry house, the unawareness of farmers to the design standard was found to be the biggest reason for not using the design standards. On the other hand, in the swine house, the previously built swine houses do not fit with the design standard. From these result, the following recommendations were suggested: 1) promotion and education are needed to enhance usage of design standard; 2) since it is impossible to make a design standard considering all the farm sites, it is important to consider the conditions of various farm site prior to enhancement of the design standard; 3) improvement factors such as reinforcing the ventilation design, reflecting animal welfare, preventing livestock diseases, and enhancing ICT devices can also be promoted.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.11
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• pp.395-402
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• 2022

In case of violation of the Personal Information Protection Act, administrative dispositions will be taken according to the legal standards, and the results will be announced. However, the current method has limitations in its effectiveness as repeated administrative dispositions are increasing despite the announcement by the disclosure system of the Personal Information Protection Act. In this paper, we deploy the introduction of the 'public announcement commandment' against violators by analyzing the administrative disposition results according to the violation of the Personal Information Protection Act. It is able to strengthen the existing disclosure system for self-disclose violations by providing easy recognition to the people about the fact of violation itself against the Personal Information Protection Act. Furthermore, we analyze major industries through the industry groups and violations of laws that were subject to publication, and data published on the results of administrative dispositions for violation of the Personal Information Protection Act. Finally, we propose the legal basis for the 'public announcement commandment' which allows the violator to publish by oneself for the announcement of the fact that the corrective action has been taken.