• Title/Summary/Keyword: Korean modern novel

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Evolutionary Approaches to Low Fertility in Modern Societies (현대 사회의 저출산에 대한 진화적 분석)

  • Joonghwan Jeon
    • Korean Journal of Culture and Social Issue
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    • v.18 no.1
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    • pp.97-110
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    • 2012
  • The sharp decline of fertility in industrialized countries since the 19th century constitutes a major problem for evolutionary approaches to human behavior. Why would people voluntarily reduce their total number of offspring, despite the fact that resources are so abundant in modern times? Here I review three evolutionary hypotheses for low fertility in modern societies, and discuss how the evolutionary perspective could shed new light on solving the problem of low fertility in Korea. Low fertility may be 1) a maladaptive outcome from the mismatch between our ancestral environments and evolutionarily novel environments, 2) a consequence of gene-culture coevolution where traits that reduce genetic fitness can still spread through a population as a result of imitation, especially if the traits are expressed by high-status people, or 3) an adaptation that maximize parents' long-term genetic fitness in knowledge-based industrialized societies where high parental investment is required for rearing competitive offspring. Based on these considerations, I suggest how the evolutionary explanations of low fertility can be applied to increasing the birth rate in Korea.

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CpG DNA for Treatment of Allergic Diseases (알레르기 질환의 치료로서의 CpG DNA)

  • Choi, Sung Min
    • Clinical and Experimental Pediatrics
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    • v.48 no.3
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    • pp.251-259
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    • 2005
  • Atopy is a highly prevalent and serious health problem. The prevalence and severity of asthma and allergic diseases have increased over recent decades, particularly in industrialized nations. Early life infections may protect against the development of atopy and allergic diseases like asthma. The inverse relationship between the incidence of atopy and childhood infections has led to the 'hygiene hypothesis', which suggests that diminished exposure to childhood infections in modern society has led to decreased Th1-type responses. Th1 and Th2 responses are counter-regulatory. Reduced Th1 may lead to enhanced Th2-type inflammation, which is important in promoting asthma and allergic disease via up-regulation of IL-4, IL-5, and IL-13. It is now widely accepted that altered regulation of Th2 responses(and possibly the balance between Th1 and Th2 responses) is an important factor in the development of atopy. CpG DNA represent a novel class of drugs with substantial immunomodulatory properties. CpG DNA contain unmethylated motifs centered on the CpG dinucleotides, like bacterial DNA. These CpG DNA promote Th1 and regulatory type immune responses and suppress Th2 responses. In murine studies, CpG DNA are effective in prevention and treatment of asthma and allergic diseases. CpG DNA are just beginning to be tested in human asthma. While its precise mechanisms continue to be fully studied, CpG DNA offers considerable promise as a novel treatment for atopic inflammation. It may prove to be an important disease modifying therapy, or even curative therapeutic agent for asthma and allergic diseases.

A Novel Online Multi-section Weighed Fault Matching and Detecting Algorithm Based on Wide-area Information

  • Tong, Xiaoyang;Lian, Wenchao;Wang, Hongbin
    • Journal of Electrical Engineering and Technology
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    • v.12 no.6
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    • pp.2118-2126
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    • 2017
  • The large-scale power system blackouts have indicated that conventional protection relays that based on local signals cannot fit for modern power grids with complicated setting or heavily loaded-flow transfer. In order to accurately detect various faulted lines and improve the fault-tolerance of wide-area protection, a novel multi-section weighed fault matching and detecting algorithm is proposed. The real protection vector (RPV) and expected section protection vectors (ESPVs) for five fault sections are constructed respectively. The function of multi-section weighed fault matching is established to calculate the section fault matching degrees between RPV and five ESPVs. Then the fault degree of protected line based on five section fault degrees can be obtained. Two fault detecting criterions are given to support the higher accuracy rate of detecting fault. With the enumerating method, the simulation tests illustrate the correctness and fault-tolerance of proposed algorithm. It can reach the target of 100% accuracy rate under 5 bits error of wide-area protections. The influence factors of fault-tolerance are analyzed, which include the choosing of wide-area protections, as well as the topological structures of power grid and fault threshold.

RMT: A Novel Algorithm for Reducing Multicast Traffic in HSR Protocol Networks

  • Nsaif, Saad Allawi;Rhee, Jong Myung
    • Journal of Communications and Networks
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    • v.18 no.1
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    • pp.123-131
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    • 2016
  • The high-availability seamless redundancy (HSR) protocol is one of the most important redundancy IEC standards that has garnered a great deal of attention because it offers a redundancy with zero recovery time, which is a feature that is required by most of the modern substation, smart grid, and industrial field applications. However, the HSR protocol consumes a lot of network bandwidth compared to the Ethernet standard. This is due to the duplication process for every sent frame in the HSR networks. In this paper, a novel algorithm known as the reducing multicast traffic (RMT) is presented to reduce the unnecessary redundant multicast traffic in HSR networks by limiting the spreading of the multicast traffic to only the rings that have members associated with that traffic instead of spreading the traffic into all the network parts, as occurs in the standard HSR protocol. The mathematical and the simulation analyses show that the RMT algorithm offers a traffic reduction percentage with a range of about 60-87% compared to the standard HSR protocol. Consequently, the RMT algorithm will increase the network performance by freeing more bandwidth so as to reduce HSR network congestion and also to minimize any intervention from the network administrator that would be required when using traditional traffic filtering techniques.

A Novel Kernel SVM Algorithm with Game Theory for Network Intrusion Detection

  • Liu, Yufei;Pi, Dechang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.8
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    • pp.4043-4060
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    • 2017
  • Network Intrusion Detection (NID), an important topic in the field of information security, can be viewed as a pattern recognition problem. The existing pattern recognition methods can achieve a good performance when the number of training samples is large enough. However, modern network attacks are diverse and constantly updated, and the training samples have much smaller size. Furthermore, to improve the learning ability of SVM, the research of kernel functions mainly focus on the selection, construction and improvement of kernel functions. Nonetheless, in practice, there are no theories to solve the problem of the construction of kernel functions perfectly. In this paper, we effectively integrate the advantages of the radial basis function kernel and the polynomial kernel on the notion of the game theory and propose a novel kernel SVM algorithm with game theory for NID, called GTNID-SVM. The basic idea is to exploit the game theory in NID to get a SVM classifier with better learning ability and generalization performance. To the best of our knowledge, GTNID-SVM is the first algorithm that studies ensemble kernel function with game theory in NID. We conduct empirical studies on the DARPA dataset, and the results demonstrate that the proposed approach is feasible and more effective.

Deep-learning-based system-scale diagnosis of a nuclear power plant with multiple infrared cameras

  • Ik Jae Jin;Do Yeong Lim;In Cheol Bang
    • Nuclear Engineering and Technology
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    • v.55 no.2
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    • pp.493-505
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    • 2023
  • Comprehensive condition monitoring of large industry systems such as nuclear power plants (NPPs) is essential for safety and maintenance. In this study, we developed novel system-scale diagnostic technology based on deep-learning and IR thermography that can efficiently and cost-effectively classify system conditions using compact Raspberry Pi and IR sensors. This diagnostic technology can identify the presence of an abnormality or accident in whole system, and when an accident occurs, the type of accident and the location of the abnormality can be identified in real-time. For technology development, the experiment for the thermal image measurement and performance validation of major components at each accident condition of NPPs was conducted using a thermal-hydraulic integral effect test facility with compact infrared sensor modules. These thermal images were used for training of deep-learning model, convolutional neural networks (CNN), which is effective for image processing. As a result, a proposed novel diagnostic was developed that can perform diagnosis of components, whole system and accident classification using thermal images. The optimal model was derived based on the modern CNN model and performed prompt and accurate condition monitoring of component and whole system diagnosis, and accident classification. This diagnostic technology is expected to be applied to comprehensive condition monitoring of nuclear power plants for safety.

Prospect and Situation of Quality Improvement in Oilseed rape (유채 품질 평가 현황과 전망)

  • 장영석
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.47
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    • pp.175-185
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    • 2002
  • Rapeseed(Brassica napus L.) is an important oil crop as a vegetable oil, concentrated feed and industrial materials. The name "canola" was registered in 1979 by the Western Canadian Oilseed Crushers Association to describe "double-low" varieties. Double low indicates that the processed oil contains less than 2% erucic-acid and the meal less than 3mg/g of glucosinolates. Today annual worldwide production of rapeseed is approximately 35 million tons on 24 million hectares. China accounts for 33% of the world production and the European Economic Community for nearly 32%. Canola ranks 3rd in production among the world's oilseed crops following soybeans, sunflowers, peanuts and cottonseed. The recent advances in genomics and in gene function studies has allowed us to understand the detailed genetic basis of many complex traits, such as flowering time, height, and disease resistance. The manipulation of seed oil content via transgene insertion has been one of the earliest successful applications of modern biotechnology in agriculture. For example, the first transgenic crop with a modified seed composition to be approved for unrestricted commercial cultivation in the US was a lauric oil, rape-seed, grown in 1995. There were also some significant early successes, mostly notably the achievement of 40% to 60% lauric acid content in rapeseed oil, which normally accumulates little or no lauric acid. The name "$\textrm{Laurical}^{TM}$" was registered in 1995 by Calgene Inc. Nevertheless, attempts to achieve high levels of other novel fatty acids in seed oils have met with much less success and there have been several reports that the presence of novel fatty acids in transgenic plants can sometimes lead to the induction of catabolic pathways which break down the novel fatty acid, i.e. the plant recognizes the "strange" fatty acid and, far from tolerating it, may even actively eliminate it from the seed oil. It is likely that, in the future, transgenic oil crops and newly domesticated oil crops will both be developed in order to provide the increased amount and diversity of oils which will be required for both edible and industrial use. It is important that we recognize that both approaches have both positive and negative points. It will be a combination of these two strategies that is most likely to supply the increasing demands for plant oils in the 21st century and beyond.ant oils in the 21st century and beyond.

Novel Surface Modifications for Medical Applications

  • Park, Gi-Dong
    • Proceedings of the Korean Vacuum Society Conference
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    • 2016.02a
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    • pp.78-78
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    • 2016
  • For the past three decades, extensive research has been performed in the surface design of new polymers for a variety of medical applications. Great progress in therapeutics and diagnostics can be attributed to these scientific advances in biomedical polymers. A variety of bioinert materials or bioactive materials using drugs, cells, and growth factors are widely utilized for the implants, devices and tissue regeneration. These materials provide an improved biocompatible materials to host, to significantly decrease or increase the host/tissue/blood response to the foreign materials. In the future, biomaterials will play a different role in modern therapeutics. New materials will be tailored to interact more on a protein and cellular level to achieve high degree of biocompatibility, biospecificity and bioacitivity. In this presentation, various biocompatible materials based on surface/bulk engineering will be demonstrated, which can be utilized as therapeutics implants and therapeutic vehicles for biologically active molecules such as cell, protein /peptide and gene.

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A Study on the Trend of the International Furniture Expo $K\ddot{o}ln$ - Focused on the Living Funiture in 2004-2006 imm- (퀼른 국제가구 박람회를 통해서 본 가구디자인의 경향에 대한 연구 - 2004 - 2006 imm의 리빙가구를 중심으로 -)

  • Yoo, Yeon-Sook
    • Korean Institute of Interior Design Journal
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    • v.16 no.2 s.61
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    • pp.287-294
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    • 2007
  • [ $K\ddot{o}ln$ ] IMM (International Mobel Messe Koln) is traditionally one of the advanced Exhibitions with International Expo of Furniture in Milan. IMM is not only the furniture exhibition but also well known international event that shows novel idea and the newest trend of interior design field. This event displays from the traditional style reaches to the newest trend, and also presents the world various Interior design spectrum with the forecast of interior design industry. This study analyze out the trend of the nm in year 2004, 2005 and 2006. It analyzed each year's design with form, material, color and general feature. Thus, it suggests demanding and persistent design of modern society, This chart shows the characteristics of the furniture design from 2004 to 2006 Result of the study shows that the trend of the furniture design would be process with the relationship of simple design, multi-cultural character, and practical paradigm.

A Study on Selective Sintering System using CO2 Laser (CO2 레이저를 이용한 Selective Sintering System에 대한 연구)

  • 전병철
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.04a
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    • pp.181-185
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    • 1996
  • Rapid prototyping is becoming an increasingly importnat techniuqe involved in the design cycles of modern industry. The majority of the rapid prototyping systems currently available use photo-reactive resins and waxes as the raw materials. The models produced by these systems often have relatively poor mechanical and physical properties and as such have a limited application to the production of advance prototypes but are excellently suited to the manufacture of engineering prototyes. This work identifies the need to produed near production grade advance prototypes from a variety of metals and a novel prototyping process based on the techniques of selective laser sintering and conventional machining is proposed. The integration of a carbon dioxide laser and a conventional machine tool to create the opto-mechanical by multi-layer sintering and some of the problems involved are also discussed.

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