• Food Science of Animal Resources
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• v.28 no.4
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• pp.486-492
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• 2008

We investigated the quality properties of pork jerky prepared with various humectants (Konjac, egg albumin, isolated soy protein). Jerky was prepared as follows; control with no humectants, treatments with 0.05, 0.1, and 0.2% humectants, respectively. Humectant treatments had higher drying yields of pork jerky than the control (p<0.05), Konjac treatment produced the the highest drying yields among the humectants tested. CIE a-and b-value were lowest in isolated soy protein treatments. b-value in 0.2% egg albumin treatments were higher than other treatments (p<0.05). Jerky water content increased as humectant content increased. Water activity (Aw) in 0.2% Konjac treatments was higher than controls and 0.05% Konjac (p<0.05). In textual profile evaluations, control samples had greater hardness, cohesiveness, gumminess, and chewiness values than other treatments, but very low springiness (p<0.05). Control had significantly (p<0.05) lower scores than the other treatments in sensorial texture, juiciness and overall acceptability. Based on our findings, we conclude that 0.05% Konjac was the most effective humectant among those we tested in this study.

• Journal of the Korean Society of Food Science and Nutrition
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• v.29 no.5
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• pp.935-942
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• 2000

This study was designed to investigate the effect of flower of Pueraria lobata on liped peroxidation and activities of alcohol metabolic enzymes in alcohol-treated rats. Male Spra gue-Dawley rats were given 25% ethanol (Alcohol), 25% ethanol and 5 mg tectorigenin/kg B.W.(Alc.-Tec), 25% ethanol and 5mg kaikasaponin III/kg B.W. (Alc-Kai). The contents of serum total lipid, triglyceride and phospholipid were increased by ethanol treatment and were lower in the Alc.-Tec and Alc.-Kai group than in the Alcohol group. Decreased serum HDL-cholesterol by alcohol treatment was recovered by tectorigenin and kaikasaponin III. Microsomal cytochrome P-450, aniline hydroxylase and aminopyrine N-demethylase activities were increased by ethanol and were lower in the Alc. Tec and Alc.-Kai group than in the Alcohol group. Activity of hepatic alcohol dehydrogenase was increased by ethanol and was higher in the Alc.-Tec and Alc.-Kai group than in the Alcohol group. Microsomal ethanol oxidizing system activity was higher in Alc.-Tec group than in the other group. No significant difference was found in catalase activity among treatment groups. These data indicate that tectorigenin and kaikasaponin III were effected alcohol metabolic enzyme system and the liver damage associated with chronic ethanol consumption.

• Journal of the Korean Society of Food Science and Nutrition
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• v.36 no.1
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• pp.43-50
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• 2007

This study was to investigate the effect of mulberry leaf water extract on lipid metabolism of rats fed high cholesterol diets. Sprague-Dawley male rats were randomly assigned to two normal groups; mulberry extract-free (N), 0.16% mulberry leaf extract (NM) groups and high cholesterol groups with four different levels of mulberry leaf extract; 0% (HC), 0.08% (HCL), 0.16% (HCM), and 0.32% mulberry leaf extract (HCH) groups. Serum levels of triglyceride, cholesterol, LDL-cholesterol and AI index in mulberry leaf extract supplemented groups were significantly lower than the HC group (p<0.05). The level of HDL-cholesterol in the HC group was significantly (p<0.05) reduced, compared with N group, but it was increased by mulberry leaf extract supplementation. Mulberry leaf extract had no effect on the UDP-glucuronyl transferase activity. Also, there was no significant difference in the level of liver cholesterol between the HC and mulberry leaf extract supplemented groups, while there was significant difference in the levels of liver total lipid and triglyceride. The HCM and HCH groups had more significant reduction in the activity of lipoprotein lipase in epididymal fat tissue than the HC group. The levels of total lipid, triglyceride and total cholesterol in epididymal fat tissue of HCL, HCM and HCH groups were decreased compared to HC group. The levels of total lipid, triglyceride and total cholesterol in feces from HCL, HCM and HCH groups were higher than those of HC group.

• Journal of Ginseng Research
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• v.26 no.2
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• pp.89-95
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• 2002

We screened biotic and abiotic preventative,i(preventers) from natural resources to prevent the rusty phenomenon in ginseng roots. To select preventatives(preventers), soil microbes such as Agrobacterium and certain microbes isolated from the rusty ginsengs and the soil in which the rusty ginsengs were planted and used. It is also performed with germination tests of the seeds of Latuca Sativa L. We identified that how selected preventatives(preventers) effect the germination of ginseng seeds. Furthermore, how these influence on the rusty phenomenon and the growth of 1 -year-old ginsengs treated in the pavement. The final preventatives; ICPE-C1$\sub$05/, ICPE-P$\^$107/ were effective in not only the growth of ginseng, but also inhibition of the rusty phenomenon. Moreover, we selected abiotic soil improvers; called P, R, and W, respectively; to promote the effects of preventatives. R and W was excellented among choring improvers. The germination rate of 2-year-old ginsengs treated with ICPE-C$\sub$105/P, and ICPE-P$\sub$107/P was the highest under the effects of naturally selected preventatives mixing with abiotic soil improvers. All treat which was compounding preventers & improvers were so excellented of growth ginseng. Especially treats of ICPE-C$\sub$105/R and ICPE-P$\sub$107/R showed growth increased of each 67.3% and 52.7% As well, the growth of ginseng was the highest in the treatment of ICPE-C$\sub$105/R, and ICPE-P$\sub$105/R. Though rusty of rate was emerged 35% in control, preventers ICPE-C$\sub$105/R and ICPE-P$\sub$107/R were emerged 5.3%. It was affirmed effective of preventer. On the other hands, amounts of ginsenoside treated with preventatives showed to be changed. The ginsenoside was increased to 14.2% with treatment with ICPE-P$\sub$107/R which is highest among groups compared to control, and ICPE-C$\sub$105/P was increased to 5.0%. To sum up with total results, it is judged that biotic preventatives (ICPE-C$\sub$105/R, and ICPE-P$\sub$107/R) which we created improve both a high yield of ginseng and the inhibition of the rusty phenomenon. phenomenon.

• Korean Journal of Soil Science and Fertilizer
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• v.42 no.5
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• pp.336-340
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• 2009

The issue of acid precipitation and related environmental problems in East Asia has been emerging. To evaluate the acidity and chemical characteristics of rainwater in Korea, its chemical properties during cultivation season from April to October were investigated at Taean in 2007. Also, to estimate the contribution of ions on its acidity, ion composition characteristics and neutralization effects by cation ions were determined. The ion balance between cations and anions values showed high correlation. The mean values of pH and EC were 4.9 and $32.9{\mu}S\;cm^{-1}$, respectively. The EC of rainwater showed seasonal characteristic, which was $91.4{\mu}S\;cm^{-1}$ with relatively low rainfall compared with other monitoring periods. $Na^+$ was the main cation followed by $NH_4{^+}$ > $Ca^{2+}$ > $H^{+}$ > $Mg^{2+}$ > $K^+$. Among these ions, $Na^{+}$ and $NH_4{^+}$ covered over 70% of total cations. In the case of anion, the order was $SO_4{^{2-}}$ > $NO_3{^-}$ > $Cl^{-}$. The mean value of sulfate, which is main anion component in the samples was $152.1{\mu}eq\;L^{-1}$. Also, 90% of soluble sulfate in rainwater was $nss-SO_4{^{2-}}$(non-sea salt sulfate). With fractional acidity and theoretical acidity of rainwater samples, $NH_4{^+}$ and $Ca^{2+}$ contributed greatly in neutralizing the rain acidity.

• Journal of Christian Education in Korea
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• v.66
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• pp.413-437
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• 2021

Humans are created as spiritual beings that can relate to God. However, when a human spirit refuses to transform through confronting God, it experiences a crisis. A spiritual crisis results from disconnecting with God, who is the ultimate foundation, but we humans try to overcome such absence through accomplishments and efforts. In this technological age, the ethics issues of AI (Artificial Intelligence), robots, and cloning are related to anthropology. The development of the mind, heart, and logic cannot suggest a basis for destruction and confusion as much as the development of the world. In fact, education focused on the human mind cannot be considered holistic. Mind, together with thought, will, and belief, plays a crucial role in making choices and leading a human life. So it is actively studied in other domains other than Christian education. However, although the human spirit takes care of some territory of humanity, unlike the mind, it can neither be partial nor fragmentary. Instead, it manages the transformation that influences the core of human life. Therefore, Christian education must clearly concentrate on the spirit rather than on other human elements, intentionally concerning spiritual transformation through encounters with God. In other words, Christian education is the passage connecting a human spirit to God's presence at work, which enables us to understand the human being as a whole. For this, we must put our efforts to increase the chances of encountering God through Christian education. While "Encounter" requires both parties' interaction, "Transformation" stresses God as the main agent and His proactive nature. I also want to emphasize "worship" as the opportunity to communicate and experience God in our daily lives. By examining the preparation and the process of the spiritual transformation of humans, this paper would offer a theological foundation for continued transformation of the human spirit in the faith community, rather than personal experience or conviction.

• Journal of Internet Computing and Services
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• v.22 no.1
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• pp.41-50
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• 2021

Cyber Kill Chain is derived from Kill chain of traditional military terms. Kill chain means "a continuous and cyclical process from detection to destruction of military targets requiring destruction, or dividing it into several distinct actions." The kill chain has evolved the existing operational procedures to effectively deal with time-limited emergency targets that require immediate response due to changes in location and increased risk, such as nuclear weapons and missiles. It began with the military concept of incapacitating the attacker's intended purpose by preventing it from functioning at any one stage of the process of reaching it. Thus the basic concept of the cyber kill chain is that the attack performed by a cyber attacker consists of each stage, and the cyber attacker can achieve the attack goal only when each stage is successfully performed, and from a defense point of view, each stage is detailed. It is believed that if a response procedure is prepared and responded, the chain of attacks is broken, and the attack of the attacker can be neutralized or delayed. Also, from the point of view of an attack, if a specific response procedure is prepared at each stage, the chain of attacks can be successful and the target of the attack can be neutralized. The cyber command and control system is a system that is applied to both defense and attack, and should present defensive countermeasures and offensive countermeasures to neutralize the enemy's kill chain during defense, and each step-by-step procedure to neutralize the enemy when attacking. Therefore, thist paper proposed a cyber kill chain model from the perspective of defense and attack of the cyber command and control system, and also researched and presented the threat classification/analysis/prediction framework of the cyber command and control system from the defense aspect

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.7
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• pp.848-857
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• 2018

Recently, around the world, active development of new renewable energy sources including solar power, waves, and fuel cells, etc. has taken place. Particularly, floating offshore wind farms have been developed for saving costs through large scale production, using high-quality wind power and minimizing noise damage in the ocean area. The development of floating wind farms requires an evaluation of the Maritime Safety Audit Scheme under the Maritime Safety Act in Korea. Floating wind farms shall be assessed by applying the line and area concept for systematic development, management and utilization of specified sea water. The development of appropriate evaluation methods and standards is also required. In this study, proper standards for marine traffic surveys and assessments were established and a systemic treatment was studied for assessing marine spatial area. First, a marine traffic data collector using AIS or radar was designed to conduct marine traffic surveys. In addition, assessment methods were proposed such as historical tracks, traffic density and marine traffic pattern analysis applying the line and area concept. Marine traffic density can be evaluated by spatial and temporal means, with an adjusted grid-cell scale. Marine traffic pattern analysis was proposed for assessing ship movement patterns for transit or work in sea areas. Finally, conceptual design of a Marine Traffic and Safety Assessment Solution (MaTSAS) was competed that can be analyzed automatically to collect and assess the marine traffic data. It could be possible to minimize inaccurate estimation due to human errors such as data omission or misprints through automated and systematic collection, analysis and retrieval of marine traffic data. This study could provides reliable assessment results, reflecting the line and area concept, according to sea area usage.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.5
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• pp.41-48
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• 2019

Our daily lives are changing at a rapid pace and the concept of smart city is spreading, as the information communication technologies apply to various fields. However, efforts to prepare for changes in society due to technological evolution are insufficient in the field of landscape architecture. The purposes of this study are to explore the concept of smart parks, to investigate how smart technology has been applied to parks, and to identify the users' perception and satisfaction on smart park services. To this end, we conducted literature review, focus group interviews with experts, and a questionnaire survey with 180 users of the IoT See pilot smart park in Daegu. Smart parks can, as a result, be defined as sustainable parks that improve users' experience in parks and solve social and environmental problems faced by utilizing various high technology. Smart technologies introduced at the park so far have been mostly focused on safety and environmental areas, including AI CCTV, smart street lamp, and fine dust warning devices. The results of survey showed that not many users were aware of the smart services the park provided due to the lack of public communication as well as the nature of maintenance-oriented smart services. The survey also found that AR services for the education of historic parks were the least utilized, while solar power benches and WiFi service were most preferred by the park users. In conclusion, smart technologies need to be integrated with diverse park contents more centered user needs, providing services to enhance safety and environmental management in order to develop user-oriented smart parks.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.43-61
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• 2019

Development of technologies in artificial intelligence has been rapidly increasing with the Fourth Industrial Revolution, and researches related to AI have been actively conducted in a variety of fields such as autonomous vehicles, natural language processing, and robotics. These researches have been focused on solving cognitive problems such as learning and problem solving related to human intelligence from the 1950s. The field of artificial intelligence has achieved more technological advance than ever, due to recent interest in technology and research on various algorithms. The knowledge-based system is a sub-domain of artificial intelligence, and it aims to enable artificial intelligence agents to make decisions by using machine-readable and processible knowledge constructed from complex and informal human knowledge and rules in various fields. A knowledge base is used to optimize information collection, organization, and retrieval, and recently it is used with statistical artificial intelligence such as machine learning. Recently, the purpose of the knowledge base is to express, publish, and share knowledge on the web by describing and connecting web resources such as pages and data. These knowledge bases are used for intelligent processing in various fields of artificial intelligence such as question answering system of the smart speaker. However, building a useful knowledge base is a time-consuming task and still requires a lot of effort of the experts. In recent years, many kinds of research and technologies of knowledge based artificial intelligence use DBpedia that is one of the biggest knowledge base aiming to extract structured content from the various information of Wikipedia. DBpedia contains various information extracted from Wikipedia such as a title, categories, and links, but the most useful knowledge is from infobox of Wikipedia that presents a summary of some unifying aspect created by users. These knowledge are created by the mapping rule between infobox structures and DBpedia ontology schema defined in DBpedia Extraction Framework. In this way, DBpedia can expect high reliability in terms of accuracy of knowledge by using the method of generating knowledge from semi-structured infobox data created by users. However, since only about 50% of all wiki pages contain infobox in Korean Wikipedia, DBpedia has limitations in term of knowledge scalability. This paper proposes a method to extract knowledge from text documents according to the ontology schema using machine learning. In order to demonstrate the appropriateness of this method, we explain a knowledge extraction model according to the DBpedia ontology schema by learning Wikipedia infoboxes. Our knowledge extraction model consists of three steps, document classification as ontology classes, proper sentence classification to extract triples, and value selection and transformation into RDF triple structure. The structure of Wikipedia infobox are defined as infobox templates that provide standardized information across related articles, and DBpedia ontology schema can be mapped these infobox templates. Based on these mapping relations, we classify the input document according to infobox categories which means ontology classes. After determining the classification of the input document, we classify the appropriate sentence according to attributes belonging to the classification. Finally, we extract knowledge from sentences that are classified as appropriate, and we convert knowledge into a form of triples. In order to train models, we generated training data set from Wikipedia dump using a method to add BIO tags to sentences, so we trained about 200 classes and about 2,500 relations for extracting knowledge. Furthermore, we evaluated comparative experiments of CRF and Bi-LSTM-CRF for the knowledge extraction process. Through this proposed process, it is possible to utilize structured knowledge by extracting knowledge according to the ontology schema from text documents. In addition, this methodology can significantly reduce the effort of the experts to construct instances according to the ontology schema.