• 제목/요약/키워드: Rule Identification

검색결과 187건 처리시간 0.034초

Modeling flow instability of an Algerian sand with the dilatancy rule in CASM

  • Ramos, Catarina;Fonseca, Antonio Viana da;Vaunat, Jean
    • Geomechanics and Engineering
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    • 제9권6호
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    • pp.729-742
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    • 2015
  • The aim of the present work was the study of instability in a loose sand from Les Dunes beach in Ain Beninan, Algeria, where the Boumerdes earthquake occurred in 2003. This earthquake caused significant structural damages and claimed the lives of many people. Damages caused to infrastructures were strongly related to phenomena of liquefaction. The study was based on the results of two drained and six undrained triaxial tests over a local sand collected in a region where liquefaction occurred. All the tests hereby analyzed followed compression stress-paths in monotonic conditions and the specimens were isotropically consolidated, since the objective was to study the instability due to static loading as part of a more general project, which also included cyclic studies. The instability was modeled with the second-order work increment criterion. The definition of the instability line for Les Dunes sand and its relation with yield surfaces allowed the identification of the region of potential instability and helped in the evaluation of the susceptibility of soils to liquefy under undrained conditions and its modeling. The dilatancy rate was studied in the points where instability began. Some mixed tests were also simulated, starting with drained conditions and then changing to undrained conditions at different time steps.

Genetic Distances Within-Population and Between-Population of Tonguesole, Cynoglossus spp. Identified by PCR Technique

  • Yoon, Jong-Man
    • 한국발생생물학회지:발생과생식
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    • 제23권3호
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    • pp.297-304
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    • 2019
  • The higher fragment sizes (>2,100 bp) are not observed in the two C. spp. populations. The six oligonucleotides primers OPA-11, OPB-09, OPB-14, OPB-20, OPC-14, and OPC-18 were used to generate the unique shared loci to each tonguesole population and shared loci by the two tonguesole populations. The hierarchical polar dendrogram indicates two main clusters: Gunsan (GUNSAN 01-GUNSAN 11) and the Atlantic (ATLANTIC 12-ATLANTIC 22) from two geographic populations of tonguesoles. The shortest genetic distance displaying significant molecular difference was between individuals' GUNSAN no. 02-GUNSAN no. 01 (genetic distance=0.038). In the long run, individual no. 02 of the ATLANTIC tonguesole was most distantly related to GUNSAN no. 06 (genetic distance=0.958). These results demonstrate that the Gunsan tonguesole population is genetically different from the Atlantic tonguesole population. The potential of PCR analysis to identify diagnostic markers for the identification of two tonguesole populations has been demonstrated. As a rule, using various oligonucleotides primers, this PCR method has been applied to identify polymorphic/specific markers particular to species and geographical population, as well as genetic diversity/polymorphism in diverse species of organisms.

딥러닝 기반의 반려묘 모니터링 및 질병 진단 시스템 (Cat Monitoring and Disease Diagnosis System based on Deep Learning)

  • 최윤아;채희찬;이종욱;박대희;정용화
    • 한국멀티미디어학회논문지
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    • 제24권2호
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    • pp.233-244
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    • 2021
  • Recently, several ICT-based cat studies have produced some successful results, according to academic and industry sources. However, research on the level of simply identifying the cat's condition, such as the behavior and sound classification of cats based on images and sound signals, has yet to be found. In this paper, based on the veterinary scientific knowledge of cats, a practical and academic cat monitoring and disease diagnosis system is proposed to monitor the health status of the cat 24 hours a day by automatically categorizing and analyzing the behavior of the cat with location information using LSTM with a beacon sensor and a raspberry pie that can be built at low cost. Validity of the proposed system is verified through experimentation with cats in actual custody (the accuracy of the cat behavior classification and location identification was 96.3% and 92.7% on average, respectively). Furthermore, a rule-based disease analysis system based on the veterinary knowledge was designed and implemented so that owners can check whether or not the cats have diseases at home (or can be used as an auxiliary tool for diagnosis by a pet veterinarian).

An Intelligent Framework for Feature Detection and Health Recommendation System of Diseases

  • Mavaluru, Dinesh
    • International Journal of Computer Science & Network Security
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    • 제21권3호
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    • pp.177-184
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    • 2021
  • All over the world, people are affected by many chronic diseases and medical practitioners are working hard to find out the symptoms and remedies for the diseases. Many researchers focus on the feature detection of the disease and trying to get a better health recommendation system. It is necessary to detect the features automatically to provide the most relevant solution for the disease. This research gives the framework of Health Recommendation System (HRS) for identification of relevant and non-redundant features in the dataset for prediction and recommendation of diseases. This system consists of three phases such as Pre-processing, Feature Selection and Performance evaluation. It supports for handling of missing and noisy data using the proposed Imputation of missing data and noise detection based Pre-processing algorithm (IMDNDP). The selection of features from the pre-processed dataset is performed by proposed ensemble-based feature selection using an expert's knowledge (EFS-EK). It is very difficult to detect and monitor the diseases manually and also needs the expertise in the field so that process becomes time consuming. Finally, the prediction and recommendation can be done using Support Vector Machine (SVM) and rule-based approaches.

연관규칙 기반 소규모 건설현장 사망재해 다중요인 분석 (Identification of Combinatorial Factors Affecting Fatal Accidents in Small Construction Sites: Association Rule Analysis)

  • 이강호;이찬식;구충완;김태완
    • 한국건설관리학회논문집
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    • 제21권4호
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    • pp.90-99
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    • 2020
  • 건설 산업은 중대 재해가 지속적으로 발생하고 있는 실정이다. 이러한 이유로는 많은 건설 현장의 작업이 고소작업과 옥외작업의 악천후의 작업과 같은 위험한 조건에서 수행되기 때문에 다른 산업에 비해 재해의 빈도와 강도가 심각하고, 이로 인해 안전사고에 노출된다. 소규모 건설현장은 사망재해의 위험이 매우 크지만 소규모 건설현장의 사망재해로 이어지는 다중 요인의 연구는 부족한 것으로 드러났다. 따라서 건설업의 사망재해를 줄이기 위해 본 연구에서 소규모 건설현장에서 발생한 1,438건의 사망재해 사례를 분석하고, 소규모 건설현장에서 치명적인 사고를 일으키는 10가지 요인으로 연관규칙 분석을 수행하였으며, 연관규칙 분석으로 나타난 결과를 기초로하여, 본 연구는 소규모 건설현장의 사망재해를 줄이기 위한 대책에 대해서도 논의하였다. 연구 결과에 대해서는 결과에 동의하는 전문가들에게 설명하여 인터뷰 형식으로 진행하였다. 본 연구는 소규모 건설현장 근로자를 위한 안전 정책 및 안전관리 이론에 기여 할 수 있다.

지식 데이타베이스를 적용한 효율적인 세균 의료영상 검색 시스템의 구현 (Implementation of an Efficient Microbial Medical Image Retrieval System Applying Knowledge Databases)

  • 신용원;구봉오
    • 한국컴퓨터정보학회논문지
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    • 제10권1호
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    • pp.93-100
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    • 2005
  • 본 연구는 신규 임상병리사로 하여금 보다 정확한 의사결정과 효율적인 교육에 이용할 수 있는 지식 및 내용 기반 의료 세균화상 검색 시스템을 설계 및 구현하는 것이다. 이를 위해, 먼저 알고리듬방식의 검색 이전에 경험적 지식을 바탕으로 세균동정단계 중 가장 빠른 경로를 탐색하여 원인균 동정에 소요되는 시간을 줄일 수 있도록 룰 베이스를 근거로 유연성 있는 탐색경로를 설정하여 전체적인 추론을 수행한다. 다음으로, 색상 모델 중에서 HSV 컬러 모델을 이용하여 세균화상 중에서도 특히 세균화상으로부터 시각정보의 색상 특징 벡터를 추출할 수 있는 색상 특징 추출방법을 제안한다. 아울러 대용량 세균화상 데이터베이스를 기반으로 보다 빠른 검색 성능을 위해, 배지, 검체, 부서, 세균명과 같은 단순속성들에 대해서는 B+-트리, 세균화상에 대한 부가적인 설명 정보로부터 추출한 키워드들에 대해서는 역화일기법, 그리고 화상으로부터 추출한 고차원 색상 특징벡터에 대해서는 스캔-기반 필터링(Scan-Based Filtering:SBF) 기법을 결합한 통합 색인기법을 기술한다. 마지막으로 구현된 시스템은 시각적인 내용 자체의 정보와 지식을 이용하여 효과적으로 복잡한 세균화상을 검색 및 관리할 수 있는 가능성을 보인다. 아울러 구현한 지식 및 내-용기반 세균화상 검색 시스템을 통해 임상분야의 지식을 잘 구조화함으로써 초보적인 임상병리사의 학습기간을 현저히 단축시킬 수 있을 것으로 기대된다.

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진드기에 감염된 개의 피부 구더기증 1예 (Cutaneous Myiasis Associated with Tick Infestations in a Dog)

  • 최정구;김한종;나지웅;김성현;박철
    • 한국임상수의학회지
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    • 제32권5호
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    • pp.473-475
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    • 2015
  • 시골에 사는 12년령의 중성화 안한 수컷 말라뮤트가 회음부위의 염증과 통증을 주호소로 내원하였다. 회음부 신체검사에서 구더기와 구멍이 있는 피부 병변이 존재하였다. 혈액검사에서는 미약한 빈혈과 혈소판 증가증 이외에 특이소견은 보이지 않았으며 진단은 임상증상 및 구더기의 존재에 의해 쉽게 되었다. 즉시 삭모 및 소독을 실시하였으며 삭모 중 진드기가 발견되어 SNAP 4DX (IDEXX Laboratories, Westbrook, ME, USA)를 이용해 진드기 및 관련 병원체의 감염유무를 평가하였고 검사결과는 모두 음성이었다. 치료는 이버멕틴(300 mcg/kg)을 피하 주사로 한번 주사하였으며 2차 감염을 예방하기 위해 항생제를 처방하였다. 이 후 구더기증과 상처부위는 2주 이내에 치료되었다.

FNN 및 PNN에 기초한 FPNN의 합성 다층 추론 구조와 알고리즘 (The Hybrid Multi-layer Inference Architectures and Algorithms of FPNN Based on FNN and PNN)

  • 박병준;오성권;김현기
    • 대한전기학회논문지:시스템및제어부문D
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    • 제49권7호
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    • pp.378-388
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    • 2000
  • In this paper, we propose Fuzzy Polynomial Neural Networks(FPNN) based on Polynomial Neural Networks(PNN) and Fuzzy Neural Networks(FNN) for model identification of complex and nonlinear systems. The proposed FPNN is generated from the mutually combined structure of both FNN and PNN. The one and the other are considered as the premise part and consequence part of FPNN structure respectively. As the consequence part of FPNN, PNN is based on Group Method of Data Handling(GMDH) method and its structure is similar to Neural Networks. But the structure of PNN is not fixed like in conventional Neural Networks and self-organizing networks that can be generated. FPNN is available effectively for multi-input variables and high-order polynomial according to the combination of FNN with PNN. Accordingly it is possible to consider the nonlinearity characteristics of process and to get better output performance with superb predictive ability. As the premise part of FPNN, FNN uses both the simplified fuzzy inference as fuzzy inference method and error back-propagation algorithm as learning rule. The parameters such as parameters of membership functions, learning rates and momentum coefficients are adjusted using genetic algorithms. And we use two kinds of FNN structure according to the division method of fuzzy space of input variables. One is basic FNN structure and uses fuzzy input space divided by each separated input variable, the other is modified FNN structure and uses fuzzy input space divided by mutually combined input variables. In order to evaluate the performance of proposed models, we use the nonlinear function and traffic route choice process. The results show that the proposed FPNN can produce the model with higher accuracy and more robustness than any other method presented previously. And also performance index related to the approximation and prediction capabilities of model is evaluated and discussed.

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조선후기(朝鮮後期) 상한(傷寒) 연구(硏究)의 일면(一面) - 조선후기(朝鮮後期) 상한(傷寒) 연구서(硏究書) "상한경험방요촬(傷寒經驗方要撮)"의 구성과 내용 - (Composition and Contents of the Monograph on Theory of Cold Damage - "Sanghankyeongheombangyochal"(傷寒經驗方要撮) in the Late Joseon Dynasty)

  • 오준호;박상영;김현구;권오민
    • 한국한의학연구원논문집
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    • 제18권1호
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    • pp.25-34
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    • 2012
  • Objective : This study was carried out with focus on written by Joh, Taek-seung (曺澤承) and Joh, Byeong-who(曺秉矦) in the relation of father and son in 1933. This book is a medical book including rare data, which has never been reported to academic circles all this while. Method : First, this study looked into the authors of this book and its history of publication. Further, this study analyzed the composition and contents of this book. Lastly, this study summed up the meaning of this book from the standpoint of medical history. Result : The authors were Confucian doctors who were active in the latter era of the Joseon Dynasty and also in the period of Japanese colonial rule. They lived in Haenam district of Jeonlanam-do, and cured its neighboring local residents while studying. They published the book of by putting together their own medical experiences. The authors suggested their remedial prescription according to gender and age whereas Zhang Zhongjing(張仲景) suggested the remedial prescription according to Six-Meridian Pattern Identification & Syndrome Differentiation(六經辨證). In addition, the authors of gave weight to the relationship with internal damage. Additionally, the authors not only thought much of the relationship between internal damage and external damage but also thought of the weakness and strength of the healthy qi, and the new and the old of a disease as an important clue to medical treatment. It seems that such contents was influenced by (東醫寶鑑). Conclusion : shows the results of the research on which was spontaneously conducted in Joseon.

Cloning of Chicken Microsomal Glutathione S-transferase 1 Gene (MGST1) and Identification of Its Different Splice Variants

  • Wang, X.-T.;Zhang, H.;Zhao, C.-J.;Li, J.-Y.;Xu, G.-Y.;Lian, L.-S.;Wu, C.-X.;Deng, Xuemei
    • Asian-Australasian Journal of Animal Sciences
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    • 제22권2호
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    • pp.155-161
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    • 2009
  • Mammal microsomal glutathione transferase 1 (MGST1) can conjugate many toxic or carcinogenic substances and depress oxidative stress. In this study, Chicken MGST1 and its variants were cloned for the first time and were composed of 956 or 944 nucleotides. The 12 nt deletion in the exon 2 did not alter the GT-AG rule and the ORFs for the two MGST1 variants were the same, which both comprised 465 nucletides and encoded a peptide with 155 amino acids. It was found that the two different splice variants identified using RT-PCR expressed in all three organs investigated of Dwarf Brown Chicken, namely liver, spleen and shell gland. Moreover, the expression level of MGST1 mRNA in the liver of Dwarf Brown chickens was the highest (p<0.01), and there were no significant differences between the spleen and the shell gland. These results provide a base for studying the biological function of Chicken MGST1.