• Toxicological Research
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• v.11 no.1
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• pp.161-168
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• 1995

It has been found that various stress challenges induce the myocardial antioxidant enzymes and produce an acquisition of the cellular resistance to the ischemic injury in animal hearts. Most of the stresses, however, seem to be guite dangerous to an animal's life. In the present study, therefore, we tried to search for safely applicable stress modalities which could lead to the induction of antioxidant enzymes and the production of myocardial tolerance to the ischemia-reperfusion injury. Male Sprague-Dawley rats (200-250 g) were exposed to various non-fatal stress conditions, i.e., hyperthermia (environmental temperature of $42^{\circ}C$ for 30 min, non-anesthetized animal), iramobilization (60 min), treadmill exercise (20 m/min, 30min), swimming (30 min), and hyperbaric oxyflenation (3 atm, 60 min), once a day for 5 days. The activities of myocardial antioxidant enzymes and the ischemia-reperfusion injury of isolated hearts were evaluated at 24 hr after the last application of the stresses. The activities of antioxidant enzymes, superoxide dismutase (SOD), catalase, glutathione peroxidase, glutathione reductase and glucose-6-phosphate dehydrogenase (G6PD), were assayed in the freshly excised ventricular tissues. The ischemia-reperfusion injury was produced by 20 min-global ischemia followed by 30 min-reperfusion using a Langendorff perfusion system. In swimming and hyperbaric oxygenation groups, the activities of SOD and G6PD increased significantly and in the hyperthermia group, the catalase activity was elevated by 63% compared to the control. The percentile recoveries of cardiac function at 30 min of the post-ischemic reperfusion were 55.4%, 73.4%, and 74.2% in swimming, the hyperbaric oxygenation and the hyperthermia groups, respectively. The values were significantly higher than that of the control (38.6%). In additions, left ventricular end-diastolic pressure and lactate dehydrogenase release were significantly reduced in the stress groups. The results suggest that the antioxidant enzymes in the heart could be induced by the apparently safe in vivo-stresses and this may be involved in the myocardial protection from the ischemia-reperfusion injury.

• 한국정보교육학회:학술대회논문집
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• 2010.08a
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• pp.161-167
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• 2010

It is true that the digital electronics industry of Korea whose natural resources are very poor, is one of very important fields that can make Korea's ranking rise in global competitiveness. However we already know the actual circumstances that low Korea's birthrate, an ageing population, growing of developing countries, avoiding majoring engineering, etc. can be major obstacles to developing the technology. To overcome these problems, it is very important to turn out better manpower by presenting students an opportunity for creative basic scientific technological education by kindling students' interest. Through this study, I will apply DIKI-3000 developed by KEA(Korea Electronics Association) to the elementary school, compare and analysis the result of special ability and aptitude synthetic test, measure which factors of special ability and aptitude are improved, and search what to modify.

• Journal of Korea Multimedia Society
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• v.6 no.1
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• pp.48-57
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• 2003

This paper describes an approach for classifying myoelectric patterns using a multilayer perceptrons (MLP's) with genetic algorithm and hidden Markov models (HMM's) hybrid classifier. Genetic Algorithms play a role of selecting Multilayer Perceptron's optimized initial connection weights by its typical global search. The dynamic aspects of EMG are important for tasks such as continuous prosthetic control or various time length EMG signal recognition, which have not been successfully mastered by the most neural approaches. It is known that the hidden Markov model (HMM) is suitable for modeling temporal patterns. In contrast, the multilayer feedforward networks are suitable for static patterns. And, a lot of investigators have shown that the HMM's to be an excellent tool for handling the dynamical problems. Considering these facts, we suggest the combination of ANN and HMM algorithms that might lead to further improved EMG recognition systems.

• Resources Recycling
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• v.22 no.1
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• pp.72-79
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• 2013

There is increasing interest to the development of environmental friendly products related global environment and health issue and it is very important technology for recycling contained hazardous substance that occur due to oxidation during used oils and fats of vegetable and animal to eco-friendly products. In this study, papers and patents for recycling technologies of used fat and vegetable oil as monomers were analyzed. The range of search was limited in the open patents of USA (US), European Union (EP), Japan (JP), Korea (KR) and SCI journals from 1976 to 2012. Patents and journals were collected using key-words searching and filtered by filtering criteria. The trends of the patents and journals were analyzed by the years, countries, companies, and technologies. Such pretreatment purification, polymerization for monomer, and polymer manufacturing technology were ahead of the United States.

• Journal of Society of Preventive Korean Medicine
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• v.20 no.2
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• pp.77-86
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• 2016

Objectives : This study aims to investigate the current situation of domestic patents in Korea on natural products and to provide directions for developing and applying herbal medicinal products by in-depth analyses. Methods : Combinations of words, such as "A61K" or "A61P", "herb" or "Korean medicinal herb" or "Korean medicine" or "traditional" or "natural" or "$botanic^*$" or "China", and "medicine" or "treatment" or "prevention" or "improvement", were used to search patents in the World Intellectual Property Service (WIPS) database. Three methods were applied to analyze natural products patents. First, the number of patent registrations was sorted by year. Second, the assignees were analyzed by count and country of origin. Finally, cluster map analysis was conducted to explore frequently emerging words in natural products and the relationship amongst those words to treat corresponding diseases/technologies. Results : Results showed that, first, the total number of patents had been increasing. Among the patents, 76.4% were registered by domestic institutes/companies, and 23.6% by foreign institutes/companies. Second, USA, Japan, and China possess a considerable number of Korean patents and, therefore, domestic institutes/companies can seek joint technological development opportunities with their counterparts from those countries in the future. Finally, a total of four clusters were identified by cluster map analysis. Each of the clusters includes natural products related to diseases involving skin, aging, and blood sugar, as well as adult diseases. Conclusions : In this study, natural products patents registered in the Korean Intellectual Property Office were analyzed. The analyses results showed the kinds of natural products that had been employed for the treatment of certain diseases. However, natural products included in existing patents were minimal given that 4,174 species of indigenous plants are found in Korea. Thus, Korean institutes/companies should utilize unexplored plants to develop more value-added drugs.

• Journal of Microbiology and Biotechnology
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• v.20 no.6
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• pp.959-967
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• 2010

Down syndrome (DS) is an abnormality of the 21st chromosome that commonly occurs in children born to older women. Thus, amniotic fluid (AF) is usually collected from such women for prenatal diagnosis. This study analyzed human AF supernatants (AFS) using a mass spectrometric (MS) approach to search for candidate biomarkers of a DS pregnancy. The AFS were collected from older pregnant women at weeks 16-18 of their gestation by amniocentesis for cytogenetic analysis. The AFS from the pregnancies carrying DS (n=4) or chromosomally normal (n=6) fetuses, as revealed by the cytogenetic analysis, were then subjected to global protein profiling based on liquid chromatography-electrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS). Affinity chromatography was also applied prior to the LC-ESI-MS/MS to minimize the masking effect of highly abundant albumin and immunoglobulin and thereby increase the diversity of the identified proteins. As a result, at least 30 new AFS proteins were identified and 44 AFS proteins were found to be differentially expressed between the DS and normal cases, where 6 of the proteins were unique to the DS cases and 11 were unique to the chromosomally normal cases. In addition, in the DS cases, 19 AFS proteins were downregulated and 8 were upregulated to varying degrees. A Western blot analysis confirmed the LC-ESI-MS/MS data, indicating that the combined detection of apolipoprotein A-II (apoA-II) and alpha-fetoprotein (AFP) could be a potential tool for diagnosing DS cases.

• Proceedings of the Korea Contents Association Conference
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• 2003.05a
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• pp.277-290
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• 2003

Recently, digital contents have become increasingly perceived as a core aspect of national development, and as such their generation and widespread promotion is being now pursued on a global basis, as federal governments move to assist corporations in the realization ofconsistent industrial development. Efforts are also being made to seek avenues for the paid use of qualitatively excellent contents, instead of relying upon traditional methods of free-of-charge provision. International corporations as well as governments are committing themselves to the search for a more developed approach to paid contents. In this report, the role of public institutions in executing plans and promotional strategies for the charging and development of the contents industry is examined. In particular, the case of paid contents is analyzed in relation to the Korea Institute of Science and Technology Information (KISTI), which is assigned the task of contents distribution to the general public in its capacity as a public information service institution, not as a profit-oriented general corporation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.9
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• pp.1972-1978
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• 2010

AAM(Active Appearance Model) is one of the most effective ways to detect deformable 2D objects and is a kind of mathematical optimization methods. The cost function is a convex function because it is a least-square function, but the search space is not convex space so it is not guaranteed that a local minimum is the optimal solution. That is, if the initial value does not depart from around the global minimum, it converges to a local minimum, so it is difficult to detect face contour correctly. In this study, an AAM-based face tracking algorithm is proposed, which is robust to various lighting conditions and backgrounds. Eye detection is performed using SIFT and Genetic algorithm, the information of eye are used for AAM's initial matching information. Through experiments, it is verified that the proposed AAM-based face tracking method is more robust with respect to pose and background of face than the conventional basic AAM-based face tracking method.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.129-130
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• 2018

Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Artificial Intelligence" keyword, one month as of May 19, 2018. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Artificial Intelligence" has been found to be technology (4,122). This study suggests theoretical implications based on the results.

• Journal of the Korea Society for Simulation
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• v.21 no.4
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• pp.35-46
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• 2012

As complexity of real-time systems is being increased ad hoc approaches to analysis of such systems would have limitations in completeness and coverability for states space search. Formal means using a model-based approach would solve such limitations. This paper proposes a model-based formal method for logical analysis, such as safety and liveness, of real-time systems at a discrete event system level. A discrete event model for real-time systems to be analyzed is specified by DEVS(Discrete Event Systems Specification) formalism, which specifies a discrete event system in hierarchical, modular manner. Analysis of such DEVS models is performed by Communicating DEVS (C-DEVS) formalism of a timed global state transition specification and an associated analysis algorithm. The C-DEVS formalism and an associated analysis algorithm guarantees that all possible states for a given system are visited in an analysis phase. A case study of a safety analysis for a rail road crossing system illustrates the effectiveness of the proposed method of the model-based approach.