• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1997.12a
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• pp.270-275
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• 1997

• Korean Journal of Environmental Biology
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• v.18 no.1
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• pp.153-161
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• 2000

This study was carried out to examine the drift of Gammarus sobaegensis by acid stress as pH depression in Oweol creek from April 1996 to October 1996. The behavioral drifting was revealed to the characteristics of G. sobaegensis that is tend to increase as acid stress. And, tolerance level of G. sobaegensis to pH depression was different among the size classes. Individuals belong to small to medium size classes were weak in lower pH. Pattern of response in G. sobaegensis has a lower tolerance to acid stress at below pH 4.0 than above pH 5.0 in the artificial channel and show the possibility as an effective aquatic ecotoxicity test organism. The result of analysis of variance, water temperature (F-ratio : 66.596, p< 0.0005) and the size classes (F-ratio : 71.386, p< 0.0005) except pH level (F-ratio : 353.415, p<0.0005) were showed to the major factor for drift behavior by acid depression. [Gammarus, pH, Drift, Acid stress, Ecotoxicity test].

• Journal of Korean Society of Forest Science
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• v.94 no.3 s.160
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• pp.178-182
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• 2005

To identify the seedlings from controlled pollination between one paternal tree and three maternal trees of Japanese red pine, cpSSR markers of the paternally inherited haploid genome were analyzed in two year old 114 seedlings of full sib families. Individual specific DNA fingerprint like haplotypes of the parental trees were determined by PCR with three cpSSR primers. Haplotypes of the 114 seedlings were also identified by PCR with the same primers. On the basis of the comparison of cpDNA haplotypes of the 114 seedlings with those of the parental trees, 14 seedlings revealed to have distinguished haplotypes from those of the paternal tree. It was tentatively concluded that they were generated via pollination with the non-paternal trees. A seedling of Gangwon30 revealing non-paternal haplotype might have been generated via self pollination with the pollens of maternal tree through improper emasculation or contamination during artificial pollination. DNA fingerprint like cpSSR profiles observed in this study could be successfully applied to the various plant forensic analyses, such as identification of siblings of individual trees, asexually reproduced ramets of a specific clone, vegetatively propagated individuals via tissue culture, and pure full sib progenies.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.268-270
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• 2005

본 논문의 목적은, 간단한 DNA를 기반으로 서로 상호 작용하는 인공미생물체를 위한 진화생태계를 구성하는 것이다. 여기서, 강화 신호를 사용한 신경 회로망의 학습을 통해 인공미생물체의 지능 린 진화과정을 모방해서 자신의 DNA 및 주변 환경에 따라 행동 패턴이 변화하도록 하였다. 또한, 미생물의 진화론적 관점에서 생식 과정에서 두 개체산의 유전자 교환 등이 일어날 수 있도록 하였다. 그리고 이렇게 만들어진 진화생태계의 응용 가능성에 대해 다룬다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.4
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• pp.577-586
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• 2024

As new technologies are developed, new security threats such as the emergence of AI technologies that create ransomware are also increasing. New security equipment such as XDR has been developed to cope with these security threats, but when using various security equipment together rather than a single security equipment environment, there is a difficulty in creating numerous regular expressions for identifying and classifying essential data. To solve this problem, this paper proposes a method of identifying essential information for identifying threat information by introducing artificial intelligence-based entity name recognition technology in various security equipment usage environments. After analyzing the security equipment log data to select essential information, the storage format of information and the tag list for utilizing artificial intelligence were defined, and the method of identifying and extracting essential data is proposed through entity name recognition technology using artificial intelligence. As a result of various security equipment log data and 23 tag-based entity name recognition tests, the weight average of f1-score for each tag is 0.44 for Bi-LSTM-CRF and 0.99 for BERT-CRF. In the future, we plan to study the process of integrating the regular expression-based threat information identification and extraction method and artificial intelligence-based threat information and apply the process based on new data.

• Journal of Korean Society of Archives and Records Management
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• v.24 no.2
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• pp.65-88
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• 2024

This pilot study explores a method of extracting metadata values and descriptions from records using named entity recognition (NER), a technique in natural language processing (NLP), a subfield of artificial intelligence. The study focuses on handwritten records from the Guro Industrial Complex, produced during the 1960s and 1970s, comprising approximately 1,200 pages and 80,000 words. After the preprocessing process of the records, which included digitization, the study employed a publicly available language API based on Google's Bidirectional Encoder Representations from Transformers (BERT) language model to recognize entity names within the text. As a result, 173 names of people and 314 of organizations and institutions were extracted from the Guro Industrial Complex's past records. These extracted entities are expected to serve as direct search terms for accessing the contents of the records. Furthermore, the study identified challenges that arose when applying the theoretical methodology of NLP to real-world records consisting of semistructured text. It also presents potential solutions and implications to consider when addressing these issues.

• Journal of the Korea Society of Computer and Information
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• v.26 no.9
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• pp.27-35
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• 2021

Artificial life is used in various fields of applied science by evaluating natural life-related systems, their processes, and evolution. Research has been actively conducted to evolve physical body design and behavioral control strategies for the dynamic activities of these artificial life forms. However, since co-evolution of shapes and neural networks is difficult, artificial life with optimized movements has only one movement in one form and most do not consider the environmental conditions around it. In this paper, artificial life that co-evolve bodies and neural networks using predator-prey models have environmental adaptive movements. The predator-prey hierarchy is then extended to the top-level predator, medium predator, prey three stages to determine the stability of the simulation according to initial population density and correlate between body evolution and population dynamics.

• Proceedings of the KSAR Conference
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• 2004.06a
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• pp.284-284
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• 2004

본 연구는 Elk 사슴에서 Magic Doctor(한경게놈텍)를 이용하여 발정동기화 인공수정 후 재발정 행동의 발현양상을 관찰하기 위해 실시하였다. 미경산록 7두와 경산록 13두를 공시하였고, 발종동기화 및 인공수정은 번식계절인 9월에 progesterone이 3 g 함유된 controlled intravaginal drug-releasing device(CIDR)를 14일간 질내에 삽입하고 제거한 후에 pregnant mare serum gonadotropin(PMSG) 250IU틀 근육 주사하여 발정동기화와 배란을 유도하였다. 인공수정은 CIDR제거 후 60∼62시간째에 실시하였고 인공수정 후 비임신 개체의 재발정 발현 양상을 관찰하였다. (중략)

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.481-482
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• 2022

시간 지식 그래프 임베딩 방법들은 주어진 시간 지식 그래프에 존재하는 개체 및 관계를 저차원의 임베딩 벡터로 표현하는 것을 목표로 한다. 그러나, 기존 방법들은 개체들의 임베딩 벡터에 그들의 시간에 따라 변화하는 특성을 반영하는 데에만 집중함에 따라, 그들의 영구적인 특성을 무시한다는 한계를 갖는다. 본 논문에서, 우리는 실세계 데이터 집합들을 이용한 실험을 통해, 시간 지식 그래프 임베딩에서 개체들의 영구적인 특성을 고려하는 것이 중요하다는 점을 논의한다.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.264-269
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• 2021

상호참조해결은 주어진 문서에서 상호참조해결의 대상이 될 수 있는 멘션을 추출하고, 같은 개체를 의미하는 멘션 쌍 또는 집합을 찾는 자연어처리 작업이다. 하나의 멘션 내에 멘션이 될 수 있는 다른 단어를 포함하는 중첩 멘션은 순차적 레이블링으로 해결할 수 없는 문제가 있다. 본 논문에서는 이러한 문제를 해결하기 위해 멘션의 시작 단어의 위치를 여는 괄호('('), 마지막 위치를 닫는 괄호(')')로 태깅하고 이 괄호들을 예측하는 멘션 탐지 모델과 멘션 탐지 모델에서 예측된 멘션을 바탕으로 포인터 네트워크를 이용하여 같은 개체를 나타내는 멘션을 군집화하는 상호참조해결 모델을 제안한다. 실험 결과, 4개의 영어 대화 데이터셋에서 멘션 탐지 모델은 F1-score (Light) 94.17%, (AMI) 90.86%, (Persuasion) 92.93%, (Switchboard) 91.04%의 성능을 보이고, 상호참조해결 모델에서는 CoNLL F1 (Light) 69.1%, (AMI) 57.6%, (Persuasion) 71.0%, (Switchboard) 65.7%의 성능을 보인다.