• Journal of Environmental Science International
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• v.11 no.4
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• pp.367-373
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• 2002

The polycyclic aromatic hydrocarbons(PAHs) content in sewage sludge was determined by gas chromatography linked to ion trap mass spectrometry(GC/ITMS) with five deuterated PAHs as internal standards. The minimum detection limit was from 1.66 to 7.14 pg for individual PAH by GC/ITMS. For determining total PAHs(∑PAH) in sewage sludge 84 samples from 74 waste water treatment plants in whole country were analyzed. The average content of ∑PAH far whole samples was 3,289$\pm$3,098 $\mu\textrm{g}$/kg, and ranged from 142 to maximum 20,102 $\mu\textrm{g}$/kg. According to the number of population of the city, the areas were classified as five regions, ie. big, large, middle, small, and rural area in which the waste water treated plants were grown. The contents of PAHs were 4,689$\pm$5,503, 5,839$\pm$6,401, 3,725$\pm$2,053, 2,237$\pm$2,069, and 2,475$\pm$1,489 $\mu\textrm{g}$/kg, in big, large, middle, small, and rural area, respectively.

• Korean Institute of Interior Design Journal
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• v.14 no.4 s.51
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• pp.27-34
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• 2005

One of the most famous designers of our age, Philippe Starck designed eight hotels among fan Schrager's of which hotels are not so big but have huge popularity all around the world located in major cities such as New York, London, Miami, L.A., and San Francisco. These hotels have brought significant influence particularly to the aspects of their recent fashion and strategies in Boutique hotels. Therefore, this paper intends to examine the space composition and design methods by analyzing the eight hotel projects by him. The research started with reviewing his design background first and analyzed the characteristic of his designs of above hotels. The analysis results were arranged from the aspects of narrative spatial configuration and dramatic presentation. From the aspect of narrative spatial configuration, the hotels by Philippe Starck mainly consisted of 1) boundaries and gateways, 2) spaces of passage, 3) center spaces, and 4) the spaces surrounding the center spaces. For the latter's aspects, it was found that various design methods such as 1) objectification, 2) intended ambiguity, 3) depaysement 4) eclectic hybrid, 5) distortions of scale, and 6) sensuous clues were employed. A study on the hotels by tan Schrager, which owe their big success to the emotional design of Philippe Starck's, not only widens the understanding of his design world, but also serves to the appreciation of today's hotel marketing strategies and design.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.203-212
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• 2019

Along with the recent fourth industrial revolution, the world's manufacturing powerhouses are pushing for national strategies to revive the sluggish manufacturing industry. Moon Jae-in, the government is in accordance with the trend, called 'advancement of science and technology is leading the fourth round of the Industrial Revolution' strategy. Intelligent information technology such as IoT, Cloud, Big Data, Mobile, and AI, which are key technologies that lead the fourth industrial revolution, is promoting the emergence of new industries such as robots and 3D printing and the smarting of existing major manufacturing industries. Advances in technologies such as smart factories have enabled IoT-based sensing technology to measure various data that could not be collected before, and data generated by each process has also exploded. Thus, this paper uses data generators to generate virtual data that can occur in smart factories, and uses them to analyze the cause of the defect in real time and to predict the replacement cycle of the facility.

• Korean Journal of Food Science and Technology
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• v.31 no.6
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• pp.1458-1464
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• 1999

The whole body of three species of fishes, raw anchovy (Engraulis japonica), big eyed herring (Harengula zunasi), and northern sand lance (Ammodytes personatus) catched at the south adjacent coast of Korea, were analyzed for extractive nitrogen, free amino acids, combined amino acids, ATP and its related compounds quaternary ammonium bases, and guanidino compounds using specimens collected in May and July 1991, and the composition of these nitrogenous components were compared with each other. The contents of extractive nitrogen in anchovy, big eyed herring, and northern sand lance were 633 mg, 601 mg, and 455 mg/100 g, respectively. Thirty-one or thirty-two kinds of free amino acids were found in the extracts of the three species of fishes. Histidine, taurine, alanine, leucine, carnosine, glutamic acid, and lysine were the major free amino acids in every sample. The composition of the major extractive components such as free amino acids, combined amino acids, ATP and its related compounds, TMAO, and creatine in the extracts were similar to each other, but their contents were some different individually.

• Journal of Korean Library and Information Science Society
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• v.52 no.3
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• pp.313-334
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• 2021

This study aimed to analyze AI research trends related to elementary, middle, and high school education. To this end, the related literature was collected from the SCOPUS database and the publication period of the collected literature was from 1974 to March 2021, with 154 journal papers and 571 conference papers. Research trends were analyzed based on the co-occurrences analysis technique of 4,521 words of author keyword and index keyword included in these papers. As a result of the analysis, big data, data mining, data science and deep learning were found as the latest research trends with machine learning and there was a difference between elementary, middle and high school education. It can be seen that elementary school had a lot of robot-related research, middle school had a lot of game and data-related research, and high school had various and in-depth research. In discussion, we mapped the top 50 words common to elementary, middle, and high schools with the 'Artificial Intelligence Basics' curriculum of Korean Government and '5 Big Ideas' of the United States Government so that AI research can be viewed at a glance.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.289-295
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• 2021

Today, the most important factor affecting the quality of human life is thought to be due to the environment. The importance of environmental monitoring systems to improve human life and improve welfare as the magnitude of the damage increases year by year due to the rapid increase in the frequency of hail, typhoons, collapse of incisions, landslides, etc. Is increasing day by day. Among environmental problems, problems caused by water quality have a very high proportion, and as there is a growing concern that the scale of damage will increase when water pollution accidents occur due to urbanization and industrialization, the demand for social water safety nets is increasing. have. In the last 5 years, 259 cases of water pollution (Han River 99, Nakdong River 31, Geum River 25, Seomjin River and Yeongsan River 19, and 85 others) have occurred in the four major river basins. Caused damage. Therefore, it is required to establish a water quality environment management strategy system based on big data that can minimize the uncertainty of the water quality environment by expanding the target of water quality management from the current water quality management system centered on the four major rivers to small and medium-sized rivers, tributaries/branches, and reservoirs. In this paper, we intend to construct and analyze a water quality monitoring system based on big data that can present useful water quality environment information by analyzing the water quality information accumulated for a long time.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.161-169
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• 2023

Due to the Fourth Industrial Revolution, innovation in various technologies such as artificial intelligence (AI), big data (Big Data), and cloud (Cloud) is accelerating, and data is considered an important asset. With the innovation of these technologies, various efforts are being made to lead technological innovation in the field of defense science and technology. In Korea, the government also announced the "Defense Innovation 4.0 Plan," which consists of five key points and 16 tasks to foster advanced science and technology forces in March 2023. The plan also includes the establishment of a Condition-Based Maintenance system (CBM+) to improve the operability and availability of weapons systems and reduce defense costs. Condition Based Maintenance (CBM) aims to secure the reliability and availability of the weapon system and analyze changes in equipment's state information to identify them as signs of failure and defects, and CBM+ is a concept that adds Remaining Useful Life prediction technology to the existing CBM concept [1]. In order to establish a CBM+ system for the weapon system, sensors are installed and sensor data are required to obtain condition information of the weapon system. In this paper, we propose a sensor data metadata schema to efficiently and effectively manage sensor data collected from sensors installed in various weapons systems.

• Journal of Digital Convergence
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• v.16 no.4
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• pp.39-47
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• 2018

This paper aim to propose and suggest for government to reinvent and re-steering the policy on the 4th industrial revolution in Korea. To do it, this paper annalize the advanced country's policies and hard-data sets from many international research institutes. So this paper emphasized the concept and frame of socio-technical system approach by Geels. According to this approach, this paper can get a conclusion that Korea government has to focus on the roles to solve the big social dilemma with high-tech tools from the 4th industrial revolution. And this paper point out the necessary of increasing the diversity and multidisciplinary in 4th industrial revolution policy of Korean government. These findings of this paper recommend for Korea to redesigns the governance mechanism and legislation platform and to design the future readiness.

• Journal of Families and Better Life
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• v.23 no.4 s.76
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• pp.101-112
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• 2005

The purpose of this study was to provide the design guidelines for the activity spaces in the skilled nursing facilities for the elderly through the investigation of the spatial characteristics and using behavior The researcher interviewed the staff regarding programs in 15 facilities, investigated and observed the use of the spaces from 15th of December, 2004 to 19th of February, 2005. The programs in facilities were categorized into human knowledge, arts, music, exercise, recreation, cooking gardening, religious and social activities, and those were peformed once to 4 times a day. They were conducted in the elderly individual rooms, lounges, program rooms, dining room, or(and) auditorium. The results of the study were as follows: First, investigating the activity spaces, the lounges and elderly individual rooms were mostly on the same floor so that the elderly had no big trouble in access to the lounge. The program rooms of the facilities in suburban and rural area were on the same floor as the elderly individual rooms and they were likely to combine with another usage, compared to those On city were mostly separated from the residence floor. Most of dining rooms and auditorium were on the basement or on the 1st floor. Second, in the programs by the activity spaces, elderly individual room and the program room were used more for the human knowledge and art programs with small group. The lounges were for recreation and social activities with (both of) small or(and) big group and dining rooms were mainly used for cooking programs. In auditorium, recreation, religious and social activity were performed with big group. Third, the individual rooms for the elderly had more capacity if those did not have any beds, but often had a trouble in making a passage way. The lounges needed to remove decorations and displayed furniture obstructing the passages and to arrange both of the western and eastern type of tables for the efficient use of the spaces. It took a long time in preparation of the furniture and other equipment if the program room was with another usage.

• Journal of Digital Contents Society
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• v.19 no.4
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• pp.789-799
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• 2018

This article presents machine learning based approach on Big data to analyzing time series data for anomaly detection in such industrial complex system. Long Short-Term Memory (LSTM) network have been demonstrated to be improved version of RNN and have become a useful aid for many tasks. This LSTM based model learn the higher level temporal features as well as temporal pattern, then such predictor is used to prediction stage to estimate future data. The prediction error is the difference between predicted output made by predictor and actual in-coming values. An error-distribution estimation model is built using a Gaussian distribution to calculate the anomaly in the score of the observation. In this manner, we move from the concept of a single anomaly to the idea of the collective anomaly. This work can assist the monitoring and management of Smart Factory in minimizing failure and improving manufacturing quality.