• Title/Summary/Keyword: Action Classification

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CLASSIFICATION OF ORDER SIXTEEN NON-SYMPLECTIC AUTOMORPHISMS ON K3 SURFACES

  • Tabbaa, Dima Al;Sarti, Alessandra;Taki, Shingo
    • Journal of the Korean Mathematical Society
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    • v.53 no.6
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    • pp.1237-1260
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    • 2016
  • In the paper we classify complex K3 surfaces with non-symplectic automorphism of order 16 in full generality. We show that the fixed locus contains only rational curves and points and we completely classify the seven possible configurations. If the Picard group has rank 6, there are two possibilities and if its rank is 14, there are five possibilities. In particular if the action of the automorphism is trivial on the Picard group, then we show that its rank is six.

Application of Toxicogenomic Analysis to the Monitoring of Environmental Toxicity Using Recombinant Bioluminescent Bacteria and Cultured Mammalian Cells

  • Choi, Sue Hyung;Gu, Man Bock;Yasuyuki, Sakai
    • Proceedings of the Korean Society for Applied Microbiology Conference
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    • 2003.06a
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    • pp.129-131
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    • 2003
  • Recombinant bioluminescent bacteria and cultured human cells were applied for toxicogenomic analysis of environmentally hazardous chemicals. Recombinant bioluminescent biosensing cells were used to detect and classify the toxicity caused by various chemicals. Classification of toxicity was realized based upon the chemicals' mode of action using DNA-, oxidative-, protein, and membrane-damage sensitive strains. As well, a simple double-layered cell culture system using Caco-2 cells and Hep G2 cells, which mimic the metabolic processes occurring in humans, such as adsorption through the small intestine and biotransformationin both the small intestine and the liver, was developed to investigate the toxicity of hazardous materials to humans. For a more in-depth analysis, a DNA microarray was used to study the transcriptional responses of Caco-2 and Hep G2 cells to benzo〔a〕pyrene.

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Electroencephalogram(EEG) Activation Changes and Correlations of signal with EMG Output by left and right biceps (좌우 이두근의 근전도 출력에 따른 뇌파의 활성도 변화와 관련성 탐색)

  • Jeon, BuIl;Kim, Jongwon
    • Journal of IKEEE
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    • v.23 no.2
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    • pp.727-734
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    • 2019
  • This paper confirms whether the movement or specific operation of the muscles in the process of transferring a person from the brain can find a signal showing an essential feature of a certain part of the brain. As a rule, the occurrence of EEG(Electroencephalogram) changes when a signal is received from a specific action or from an induced action. These signals are very vague and difficult to distinguish from the naked eye. Therefore, it is necessary to define a signal for analysis before classification. The EEG form can be divided into the alpha, beta, delta, theta and gamma regions in the frequency ranges. The specific size of these signals does not reflect the exact behavior or intention, since the band or energy difference of the activated frequencies varies depending on the EEG measurement domain. However, if different actions are performed in a specific method, it is possible to classify the movement based on EEG activity and to determine the EEG tendency affecting the movement. Therefore, in this article, we first study the EEG expression pattern based on the activation of the left and right biceps EMG, and then we determine whether there is a significant difference between the EEG due to the activation of the left and right muscles through EEG. If we can find the EEG classification criteria in accordance with the EMG activation, it can help to understand the form of the transmitted signal in the process of transmitting signals from the brain to each muscle. In addition, we can use a lot of unknown EEG information through more complex types of brain signal generation in the future.

Systemic Analysis of Antibacterial and Pharmacological Functions of Anisi Stellati Fructus (대회향의 시스템 약리학적 분석과 항균작용)

  • Han, Jeong A;Choo, Ji Eun;Shon, Jee Won;Kim, Youn Sook;Suh, Su Yeon;An, Won Gun
    • Journal of Life Science
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    • v.29 no.2
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    • pp.181-190
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    • 2019
  • The purpose of this study was to acquire the active compounds of Anisi stellati fructus (ASF) and to analyze the genes and diseases it targets, focusing on its antibacterial effects using a system pharmacological analysis approach. Active compounds of ASF were obtained through the Traditional Chinese Medicine Systems Pharmacology (TCMSP) Database and Analysis Platform. This contains the pharmacokinetic properties of active compounds and related drug-target-disease networks, which is a breakthrough in silico approach possible at the network level. Gene information of targets was gathered from the UnitProt Database, and gene ontology analysis was performed using the David 6.8 Gene Functional Classification Tool. A total of 201 target genes were collected, which corresponded to the nine screened active compounds, and 47 genes were found to act on biological processes related to antimicrobial activity. The representative active compounds involved in antibacterial action were luteolin, kaempferol, and quercetin. Among their targets, Chemokine ligand2, Interleukin-10, Interleukin-6, and Tumor Necrosis Factor were associated with more than three antimicrobial biological processes. This study has provided accurate evidence while saving time and effort to select future laboratory research materials. The data obtained has provided important data for infection prevention and treatment strategies.

Research on Deep Learning-Based Methods for Determining Negligence through Traffic Accident Video Analysis (교통사고 영상 분석을 통한 과실 판단을 위한 딥러닝 기반 방법 연구)

  • Seo-Young Lee;Yeon-Hwi You;Hyo-Gyeong Park;Byeong-Ju Park;Il-Young Moon
    • Journal of Advanced Navigation Technology
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    • v.28 no.4
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    • pp.559-565
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    • 2024
  • Research on autonomous vehicles is being actively conducted. As autonomous vehicles emerge, there will be a transitional period in which traditional and autonomous vehicles coexist, potentially leading to a higher accident rate. Currently, when a traffic accident occurs, the fault ratio is determined according to the criteria set by the General Insurance Association of Korea. However, the time required to investigate the type of accident is substantial. Additionally, there is an increasing trend in fault ratio disputes, with requests for reconsideration even after the fault ratio has been determined. To reduce these temporal and material costs, we propose a deep learning model that automatically determines fault ratios. In this study, we aimed to determine fault ratios based on accident video through a image classification model based on ResNet-18 and video action recognition using TSN. If this model commercialized, could significantly reduce the time required to measure fault ratios. Moreover, it provides an objective metric for fault ratios that can be offered to the parties involved, potentially alleviating fault ratio disputes.

The Real-Time Detection of the Malicious JavaScript (실시간으로 악성 스크립트를 탐지하는 기술)

  • Choo, Hyun-Lock;Jung, Jong-Hun;Kim, Hwan-Kuk
    • Journal of Internet Computing and Services
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    • v.16 no.4
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    • pp.51-59
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    • 2015
  • JavaScript is a popular technique for activating static HTML. JavaScript has drawn more attention following the introduction of HTML5 Standard. In proportion to JavaScript's growing importance, attacks (ex. DDos, Information leak using its function) become more dangerous. Since these attacks do not create a trail, whether the JavaScript code is malicious or not must be decided. The real attack action is completed while the browser runs the JavaScript code. For these reasons, there is a need for a real-time classification and determination technique for malicious JavaScript. This paper proposes the Analysis Engine for detecting malicious JavaScript by adopting the requirements above. The analysis engine performs static analysis using signature-based detection and dynamic analysis using behavior-based detection. Static analysis can detect malicious JavaScript code, whereas dynamic analysis can detect the action of the JavaScript code.

The study of standardization plan and usefulness of Moxa Combustion (뜸의 대중화 및 유용성 방안에 대한 연구)

  • Lee, Geon-mok;Lee, Kil-soong;Lee, Seung-hun;Chang, Jong-duk;Seo, Eun-mi;Choi, Jung-sun;Kim, Yang-jung
    • Journal of Acupuncture Research
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    • v.20 no.6
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    • pp.63-79
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    • 2003
  • Objective: It makes a through study on the popularization and usefulness paln of Moxa Combustion, therefore popularizing practical use of that. Methods: It was based on the established treatises and books, in order to studying about the literature of Moxa Combustion Results & Conclusions: It makes a through study on the whole of Moxa Combustion, the results as follows. 1. We explained(illustrated) the origin, history, classification and mechanism(effect) of Moxa Combustion 2. The study of standardization plan of Moxa Combustion for popularization - The thermal stimulation of Moxa Combustion was decided the characteristic pattern of combustion temperature by moxa burning and that makes a measure to grasp the effective action of Moxa Combustion upon human body. Thereupon it is necessary to continue further studies by analysing the characteristic pattern of combustion temperature by moxa burning and there clinical effects in practice. 3. The usefulness of Moxa Combustion - The therapeutic effect of Moxa Combustion are hematopoiesis(increase the blood), analgesic function, increase the immunity, antioxidant activity, diuretic action, control of hormone(endocrine gland), supression of carcinogenesis, increase the self involution(natural healing), decrease of GOT/GPT, Glucose, Cholesterol level.

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Effect of Alcohol Extract of Lampranthus spectabilis on Motility of Isolated Heart of Clam (양채송화(洋菜松花)의 알코홀 추출물이 적출 조개 심장운동에 미치는 영향)

  • Park, Chul-Hoon;Kim, Chung-Il
    • The Korean Journal of Pharmacology
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    • v.9 no.2
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    • pp.29-37
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    • 1973
  • Lampranthus spectabilis is an ornamental plant which belongs to one of the Aizoaceae family as an one-year herb. There are no illustrations on the references that Lampranthus spectabilis has been made use for the purpose of the medicinal plant among the traditional herb doctors and the laymen. However, it has the specific characteristics to be analogous to the Cactaceae family in the botanical classification. Besides, mescaline, the main ingredient of Peyote cactus, demonstrates the sympathomimetic effect as well as the psychotomimetic effect. The authors called our attention to the resemblance to the botanical family between Aisoaceae and Cactaceae, and made a survey whether the alcohol extract of Lampranthus spectabilis might possess any pharmacological effect on the isolated heart of clam or not. The results of the experiment were as follows. 1. Administration of LX to the isolated heart of clam produced an inhibitory effect on the cardiac motility in proportion to its concentration $10^{-4}$, $5{\times}10^{-4}$ and $10^{-3}\;g/ml$ respectively. 2. Administration of LX $5{\times}10^{-4$ and $10^{-3}\;g/ml$ produced the blockade effect on the cardiac motility pretreated with serotonin $10^{-7}$ and $10^{-4}\;g/ml$, as well as with methysergide $10^{-6}$ and $10^{-5}\;g/ml$. 3. Administration of LX $5{\times}10^{-4}\;g/ml$ produced no effect on the cardiac motility pretreated with acetylcholine $10^{-7}\;g/ml$. 4. Administration of LX $5{\times}10^{-4}\;g/ml$ produced the blockade effect on the cardiac motility pretreated with barium chloride $10^{-4}\;g/ml$, as well as with prostaglandin $20\;{\mu}g$. Consequently, it is concluded that the alcohol extract of Lampranthus spectabilis has an effect of depression on the motility of the isolated heart of clam. Its mechanism of action might be due to a direct action on the heart.

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Influences of Antibiotic Components Produced by Trichoderma spp. to Oyster Mushroom (Trichoderma속(屬)이 생산(生産)하는 항생물질(抗生物質)이 느타리버섯균(菌)에 미치는 영향(影響))

  • Kim, Myoung-Kon
    • The Korean Journal of Mycology
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    • v.13 no.2
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    • pp.105-109
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    • 1985
  • Isolates of the different species groups of Trichoderma from the mushroom culture beds were identified according to Rifai's classification and influence of antibiotics produced by them against the oyster mushroom was examined. Trichoderma islolates were identified as Trichoderma hamatum, Trichoderma viride and Trichoderma koningii. Among the Trichoderma isolates, fungistatic action of Trichoderma viride was found to be most remarkable. Pleurotus ostreatus and Pleurotus sajor-caju were the most susceptable of the edible mushrooms tested, followed by Lentinus edodes, Flammulina velutipes and Auricularia auricula. A needle-shaped crystal gained from the chloroform extract of the culture filtrate of Trichoderma viride repressed distinctively the mycelial growth of the oyster mushroom. The grade of repression of the crystal at 500ppm and 1/10 aequ­ous solution of the chloroform extract against the oyster mushroom, seemed equal to that of cycloheximide at $100{\sim}200ppm$.

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Therapeutic Robot Action Design for ASD Children Using Speech Data (음성 정보를 이용한 자폐아 치료용 로봇의 동작 설계)

  • Lee, Jin-Gyu;Lee, Bo-Hee
    • Journal of IKEEE
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    • v.22 no.4
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    • pp.1123-1130
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    • 2018
  • A cat robot for the Autism Spectrum Disorders(ASD) treatment was designed and conducted field test. The designed robot had emotion expressing action through interaction by the touch, and performed a reasonable emotional expression based on Artificial Neural Network(ANN). However these operations were difficult to use in the various healing activities. In this paper, we describe a motion design that can be used in a variety of contexts and flexibly reaction with various kinds of situations. As a necessary element, the speech recognition system using the speech data collection method and ANN was suggested and the classification results were analyzed after experiment. This ANN will be improved through collecting various voice data to raise the accuracy in the future and checked the effectiveness through field test.