• Food Science and Industry
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• v.55 no.2
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• pp.188-202
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• 2022

In the insect industry, as the scope of application of insects is expanded from pet insects and natural enemies to feed, edible and medicinal insects, the demand for quality control of insect raw materials is increasing, and interest in securing the safety of insect products is increasing. In the process of expanding the industrial scale, controlling the temperature and humidity and air quality in the insect breeding room and preventing the spread of pathogens and other pollutants are important success factors. It requires a controlled environment under the operating system. European commercial insect breeding facilities have attracted considerable investor interest, and insect companies are building large-scale production facilities, which became possible after the EU approved the use of insect protein as feedstock for fish farming in July 2017. Other fields, such as food and medicine, have also accelerated the application of cutting-edge technology. In the future, the global insect industry will purchase eggs or small larvae from suppliers and a system that focuses on the larval fattening, i.e., production raw material, until the insects mature, and a system that handles the entire production process from egg laying, harvesting, and initial pre-treatment of larvae., increasingly subdivided into large-scale production systems that cover all stages of insect larvae production and further processing steps such as milling, fat removal and protein or fat fractionation. In Korea, research and development of insect smart factory farms using artificial intelligence and ICT is accelerating, so insects can be used as carbon-free materials in secondary industries such as natural plastics or natural molding materials as well as existing feed and food. A Korean-style customized breeding system for shortening the breeding period or enhancing functionality is expected to be developed soon.

• Ocean and Polar Research
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• v.34 no.4
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• pp.365-384
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• 2012

Microalgae are photosynthetic microorganisms that are highly productive in the presence of basic renewable natural sources (light, $CO_2$, water and nutrients). They can synthesize lipids, carbohydrates and proteins in a small number of days. Subsequently, these carbon-captured products can be processed into both biofuels and valuable co-products. Additionally, microalgae would be an ideal feedstock for replacing land-based food crops with cellular products as high energy density transportation fuels. These microscopic organisms could contribute a significant amount of renewable energy on a global scale. In Korea, microalgae biofuel research was common in the early 1990s. The research activities were unfortunately stopped due to limited governmental funds and low petroleum prices. Interest in algal biofuels in Korea has been growing recently due to an increased concern over oil prices, energy security, greenhouse gas emissions, and the potential for other biofuel feedstock to compete for limited agricultural resources. The high productivity of microalgae suggests that much of the Korean transportation fuel requirements can be met by biofuels at a production cost competitive with the increasing cost of petroleum seen in early 2008. At this time, the development of microlalgal biomass production technology remains in its infancy. This study reviewed microalgae culture systems and biomass production, harvesting, oil extraction, conversion, and technoeconomical bottlenecks. Many technical and economic barriers to using microalgal biofuels need to be overcome before mass production of microalgal-derived fuel substitutes is possible. However, serious efforts to overcome these barriers could become a large-scale commercial reality. Overall, this study provides a brief overview of the past few decades of global microalgal research.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.175-186
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• 1999

Detecting the features of significant patterns from their own historical data is so much crucial to good performance specially in time-series forecasting. Recently, a new data filtering method (or multi-scale decomposition) such as wavelet analysis is considered more useful for handling the time-series that contain strong quasi-cyclical components than other methods. The reason is that wavelet analysis theoretically makes much better local information according to different time intervals from the filtered data. Wavelets can process information effectively at different scales. This implies inherent support fer multiresolution analysis, which correlates with time series that exhibit self-similar behavior across different time scales. The specific local properties of wavelets can for example be particularly useful to describe signals with sharp spiky, discontinuous or fractal structure in financial markets based on chaos theory and also allows the removal of noise-dependent high frequencies, while conserving the signal bearing high frequency terms of the signal. To date, the existing studies related to wavelet analysis are increasingly being applied to many different fields. In this study, we focus on several wavelet thresholding criteria or techniques to support multi-signal decomposition methods for financial time series forecasting and apply to forecast Korean Won / U.S. Dollar currency market as a case study. One of the most important problems that has to be solved with the application of the filtering is the correct choice of the filter types and the filter parameters. If the threshold is too small or too large then the wavelet shrinkage estimator will tend to overfit or underfit the data. It is often selected arbitrarily or by adopting a certain theoretical or statistical criteria. Recently, new and versatile techniques have been introduced related to that problem. Our study is to analyze thresholding or filtering methods based on wavelet analysis that use multi-signal decomposition algorithms within the neural network architectures specially in complex financial markets. Secondly, through the comparison with different filtering techniques' results we introduce the present different filtering criteria of wavelet analysis to support the neural network learning optimization and analyze the critical issues related to the optimal filter design problems in wavelet analysis. That is, those issues include finding the optimal filter parameter to extract significant input features for the forecasting model. Finally, from existing theory or experimental viewpoint concerning the criteria of wavelets thresholding parameters we propose the design of the optimal wavelet for representing a given signal useful in forecasting models, specially a well known neural network models.

• Journal of the Korean Geographical Society
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• v.40 no.1 s.106
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• pp.1-26
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• 2005

This paper is to classify old county-maps of Dongrae-bu(東萊府), Busan in late-Chosun dynasty and to analyze place names in maps comparatively. 26 maps covering Dongrae-bu were collected from the old county-map atlas(郡縣地圖帖) and Eupji(邑誌). By e comparative analysis of contents, those maps can be classified into four types. The first type(named 'Haedong-Jido(海東地圖)') included 7 county-maps in which information of military, and administrative contents are mainly mapped. The second type(named 'Yeongnam-do(嶺南地圖)') included 5 coon maps in which information about beacon routes and road systems were regarded as very important. The third type(named 'Grid-system map(方眼式地圖)') included 4 county-maps which were drawn as same scale with 20-ri(理) grids. The fourth type(named 'Local Count-map(地方郡懸地圖)') included 7 county maps which were drawn by local mappers. Comparative analysis of place names between those four types revealed that Grid-system maps were developed toward the large scale whole map of Korea in the 19th century.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.175-186
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• 1999

Detecting the features of significant patterns from their own historical data is so much crucial to good performance specially in time-series forecasting. Recently, a new data filtering method (or multi-scale decomposition) such as wavelet analysis is considered more useful for handling the time-series that contain strong quasi-cyclical components than other methods. The reason is that wavelet analysis theoretically makes much better local information according to different time intervals from the filtered data. Wavelets can process information effectively at different scales. This implies inherent support for multiresolution analysis, which correlates with time series that exhibit self-similar behavior across different time scales. The specific local properties of wavelets can for example be particularly useful to describe signals with sharp spiky, discontinuous or fractal structure in financial markets based on chaos theory and also allows the removal of noise-dependent high frequencies, while conserving the signal bearing high frequency terms of the signal. To data, the existing studies related to wavelet analysis are increasingly being applied to many different fields. In this study, we focus on several wavelet thresholding criteria or techniques to support multi-signal decomposition methods for financial time series forecasting and apply to forecast Korean Won / U.S. Dollar currency market as a case study. One of the most important problems that has to be solved with the application of the filtering is the correct choice of the filter types and the filter parameters. If the threshold is too small or too large then the wavelet shrinkage estimator will tend to overfit or underfit the data. It is often selected arbitrarily or by adopting a certain theoretical or statistical criteria. Recently, new and versatile techniques have been introduced related to that problem. Our study is to analyze thresholding or filtering methods based on wavelet analysis that use multi-signal decomposition algorithms within the neural network architectures specially in complex financial markets. Secondly, through the comparison with different filtering techniques results we introduce the present different filtering criteria of wavelet analysis to support the neural network learning optimization and analyze the critical issues related to the optimal filter design problems in wavelet analysis. That is, those issues include finding the optimal filter parameter to extract significant input features for the forecasting model. Finally, from existing theory or experimental viewpoint concerning the criteria of wavelets thresholding parameters we propose the design of the optimal wavelet for representing a given signal useful in forecasting models, specially a well known neural network models.

• Microbiology and Biotechnology Letters
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• v.46 no.3
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• pp.181-193
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• 2018

Nitrous oxide ($N_2O$) is a potent greenhouse gas as well as an ozone-depleting substance. $N_2O$ is emitted during the biological nitrogen removal process in wastewater treatment systems (WTSs), and has significant environmental impacts. In this study, $N_2O$ emission in WTSs was comprehensively reviewed to better understand the effects of key parameters on $N_2O$ emission and obtain useful guidelines for $N_2O$ mitigation strategies in WTSs. Three biological pathways leading to $N_2O$ emission are hydroxylamine oxidation, nitrifier denitrification, and heterotrohic denitrification. Measurements at lab-, pilot- and full-scale WTSs have shown large variations in $N_2O$ emission (0-95% of N-loaded) during wastewater treatment. In the full-scale WTSs (0-14.6% $N_2O$ of N-loaded), the average and median values were 1.95% and 0.2% of N-loaded, respectively. Dissolved oxygen, nitrite concentrations, and chemical oxygen demand (COD)/N ratio are the most important parameters leading to $N_2O$ emission. A variety of operational strategies have been suggested to minimize $N_2O$ emission from WTSs. A new $N_2O$ mitigation strategy involving the introduction of microorganisms with high $N_2O$ reductase activity or oxygenic denitrification ability has been proposed as an alternative canonical denitrification.

• Journal of the Society of Disaster Information
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• v.11 no.1
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• pp.73-88
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• 2015

Due to the cases of recent global warming and unusual weather etc., large-scale natural disasters such as typhoons, floods, snow damage occur frequently across the continents such as Southeast Asia and North America, South America etc. and risks of earthquakes and tsunami are also increasing gradually in Korea which has been regarded as a safe zone and disaster types are also being diversified such as typhoons, floods, heat waves, heavy snow and damage scale is also enlarged. In addition, due to geographical characteristics or lack of infrastructure, disasters tended to occur intensively around a specific region or city in the past but disasters occur throughout the country in recent years so preparation for disaster prevention has emerged as an urgent challenge issue. Therefore, considering that the plan of obtaining the effective feedback function of disaster Information is very important in the proactive and software aspects for disaster reduction, this paper analyzed this three aspects of contents, procedural and contextual aspects and proposed the plan. First, in the content aspect, building disaster prevention information communication Infrastructure, building urban and regional disaster prevention system, obtaining concurrency and sharing of information and second, in the procedural aspect, active utilization of ICT(Information and Communication Technology) of the prevention stage, disaster prevention information collection and analysis reinforcement of the preparation stage, improvement of decision-making structure and field command system of the response stage, recovery system related information promotion of the recovery stage were proposed as alternatives and finally, in the contextual aspect, if disaster prevention information is effectively managed through maintenance of disaster prevention information related systems, obtaining domainality by disaster prevention work, improvement of the ability to judge the situation, obtaining comprehensive and feedback function etc, it is considered to significantly contribute to reducing natural disasters.

• Journal of Biosystems Engineering
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• v.12 no.1
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• pp.20-30
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• 1987

Major rice grain losses both in quality and in quantity are incurred in the whitening process which is indispensable in the milling process. Rice whitening it performed by two different whitening actions known as abrasive and frictional. In Korea, abrasive-type whiteners equipped with a emery-stone roller have been adopted in the whitening system in large scale milling plants, but not in customary small scale. However, researches on this type whitener have rarely been conducted in Korea. This study was attempted to establish design criteria or a modified abrasive-type whitener which is aerated with blower. The factors considered in this study were three levels of feedscrew pitch (20, 27, 34 mm) and three levels of clearance(11, 13, 15 mm) between surfaces or emery-stone roller and screen and two levels of moisture content (14.5%, 15.7%, w.b.) of brown rice. Also, the effect of aeration on whitening performance was examined, and a system performance consisting of one pass in the aerated abrasive-type and two passes in the existing friction type was compared with the performance of the existing whitening system consisting of three passes in friction type only. The latter system is prevailed in customery small milling plants. The results of this study are summarized as follows. 1. The interactions between feed-screw pitch and chamber clearance of the aerated abrasive-type whitener had great effect on the performance of the machine. When the value of a nondimensional parameter, $C^2/(P{\cdot}d_p)$, expressing the relations between feed-screw pitch, P, and chamber clearance, C, ranged from 0.40 to 0.45, the performance of the aerated abrasive-type whitener was the best. 2. Aeration to the abrasive-type whitener gave positive effect on milled and head rice recoveries. 3. The whitening system involving the aerated abrasive-type whitener, which has appropriate feed-screw pitch and chamber clearance as described in item 1 above, produced more milled and head rice recoveries by about 1.5% and 2.0%, respectively, than the existing frictional whitening system. The former also consumed less electricity by about 10% (0.9KwH/1000kg).

• Journal of Korean Society of Forest Science
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• v.104 no.1
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• pp.1-13
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• 2015

Korea now boasts a vastly forested landscape resulting from a successful forest restoration projects carried out in the past several decades. However, Korea's forest now face new challenges, such as the rapidly increasing mature forests, climate change, and various novel forest disturbances with both natural and anthropogenic causes. Considering the extensive spatial and temporal scale of the forests and the challenges it face, it is necessary to utilize a tool that can properly tackle the issues with such nature. This brings our attention to Forest Landscape Models, which have been actively developed and used to improve our understanding of how forests respond to a variety of changes and to satisfy the society's demand on forests and its ecosystem services. A large variety of Forest Landscape Models exist, with a wide spectrum of algorithms, various selections of ecological processes they simulate, and the spatial and temporal scale they utilize, so that any researcher may find a model that fits one's use. However, it is important to properly understand the properties of such models so that the right model is used and the results are aptly interpreted. In this study, we describe and characterize the various Forest Landscape Models based on their historical roots, lineages, and development, ecological characteristics, and computational aspects, and discuss how they can be classified and what limits should be recognized to assist in model selection and utilization.

• Journal of the Korean Institute of Landscape Architecture International Edition
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• no.2
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• pp.81-87
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• 2004

The objective of our research was an international comparison focusing on studies conducted on parks and green spaces undertaken in Japan and Korea. We also aim to clarify the similarities and differences between the two countries and consider the key features of the researches on the field of landscape architecture. We compared the recent trends of Japanese institute with Korean observed in the theme of research papers adopt title of them. The research period spanned approximately twenty years, from 1980 to 2003. We employed the Table of Contents information search system to research academic journal articles and to select the journals that included articles with the key words [park(s)] or [green space(s)] in their title. We chronologically arranged the journals for each country, based on the total number of journals and classification categories. We then conducted a comparative examination among the two countries. We also contributed information on the circumstances behind the formulation or amendment of some policies and laws and we checked the results against the research trend. Among the selected journals, the number of papers was the highest by the Institute of Landscape Architecture. But the reason for increase of the number of papers on green spaces in Japanese journals was not published by the Institute of Landscape Architecture but by the City Planning Institute and the Architecture Institute. In Japan, the papers on parks categorized under historical study were the highest among all categories. On the other hand, in Korean journals, papers on parks categorized under historical study were few. A similar trend was recognized in papers on green spaces. Every society is concerned with the study of function and effect. However, some exact differences have been observed by category classification. In Japan, the percentage of function and effect papers on parks was less than those on green spaces. In Korea, both percentages for these groups were high. The category of system and policy accounted for $17\%$ of the papers on green spaces in Korea. This result was higher than the number of papers on green spaces and parks in Japan and parks in Korea. Recently, the number of papers focusing on large-scale green space system has decreased in Japan. The trend in the study of parks and green spaces on a regional scale or at an individual level will be closely monitored. Systems and modeling studies have been focusing in Korea. The understanding between the administration and the citizens was peculiar to each country.