• 제목/요약/키워드: Abnormal Pattern Analysis

검색결과 160건 처리시간 0.022초

페이즐리 오너먼트를 활용한 패션텍스타일 디자인의 현대적 특징 연구 (Contemporary Characteristics of Fashion-textile Design Applying Paisley Ornament)

  • 정하정;박주희
    • 한국의류학회지
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    • 제44권5호
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    • pp.950-968
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    • 2020
  • This study derives the modern characteristics of the paisley ornament through an analysis of the paisley ornament shown in fashion since the 2010s based on a theoretical review of the paisley ornament used in Kashmir India shawls for artistic inspiration in the fashion-textile field. It classified the paisley ornament in fashion since the 2010s into types of 'basic structure of body and coif', 'abnormal paisley ornament shapes', 'complex structure of paisley ornament', 'complex structure with other motif', 'a pair of symmetrical reflection motif', 'regular of repetitive arrangement', 'complex arrangement of irregularity and regularity' and 'free arrangement of irregularity'. A comparative analysis with the historical paisley ornament shows that paisley ornaments have contemporary characteristics like 'Bisector structure of centerline in criterion of the body', 'Composite structure of extended 1-repeat', and 'Free structure of engineered placement'. A modern design was inspired by the historical art forms; however, it was used in free utilization of motifs and patterns in terms of size, direction, proportion and space. These were the expression of a design identity that originated from the aesthetic ability and career of a designer as well as the technology of computer programs for the improvements in time and cost efficiency.

건축공간 환경관리 지원을 위한 AI·IoT 기반 이상패턴 검출에 관한 연구 (A Study on Detection of Abnormal Patterns Based on AI·IoT to Support Environmental Management of Architectural Spaces)

  • 강태욱
    • 한국BIM학회 논문집
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    • 제13권3호
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    • pp.12-20
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    • 2023
  • Deep learning-based anomaly detection technology is used in various fields such as computer vision, speech recognition, and natural language processing. In particular, this technology is applied in various fields such as monitoring manufacturing equipment abnormalities, detecting financial fraud, detecting network hacking, and detecting anomalies in medical images. However, in the field of construction and architecture, research on deep learning-based data anomaly detection technology is difficult due to the lack of digitization of domain knowledge due to late digital conversion, lack of learning data, and difficulties in collecting and processing field data in real time. This study acquires necessary data through IoT (Internet of Things) from the viewpoint of monitoring for environmental management of architectural spaces, converts them into a database, learns deep learning, and then supports anomaly patterns using AI (Artificial Infelligence) deep learning-based anomaly detection. We propose an implementation process. The results of this study suggest an effective environmental anomaly pattern detection solution architecture for environmental management of architectural spaces, proving its feasibility. The proposed method enables quick response through real-time data processing and analysis collected from IoT. In order to confirm the effectiveness of the proposed method, performance analysis is performed through prototype implementation to derive the results.

수치모형 적용을 통한 나주 강변저류지 홍수위 저감효과 분석 (Analysis of Flood Level Mitigation due to the Naju Retention-Basin by Numerical Model Application)

  • 이동섭;김형준;조길제
    • 한국산학기술학회논문지
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    • 제15권9호
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    • pp.5801-5812
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    • 2014
  • 강변저류지는 일정 규모 이상의 홍수를 하도로부터 분배하여 홍수량을 저감시킴으로써 홍수위험을 저감시키는 수공 구조물이다. 본 연구에서는 강변저류지에 의한 홍수저감효과를 분석하기 위하여 수치모의를 수행하였다. 기후변화에 의한 이상홍수 발생시, 홍수저감효과를 분석하기 위하여 계획빈도를 상회하는 수문조건에 대한 검토를 수행하여 강변저류지의 홍수조절능력을 분석하였다. 또한, 강변저류지가 설치된 하천은 복잡한 지형과 횡월류위어를 통하여 강변저류지로 분배되는 흐름이 동시에 발생하므로 복잡한 흐름현상을 구현하기 위하여 2차원 모형의 적용성을 검토하였다. 기존 강변저류지 홍수저감효과 분석시 주로 활용되는 1차원 모형과 2차원 모형의 결과를 비교 및 검토하였다. 본 연구결과 강변저류지에 의한 홍수저감효과를 모의하기 위해서는 지형 및 횡월류 흐름을 공간적으로 구현할 수 있는 2차원 모형을 활용하는 것이 합리적인 것으로 판단된다.

족부 축후성 다지증의 분석 (Analysis of the Postaxial Polydactyly of the Foot)

  • 이호승;윤준오;원중희;김용민;최의성;김종필
    • 대한족부족관절학회지
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    • 제6권1호
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    • pp.7-14
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    • 2002
  • Purpose: We investigate the characteristic morphologic features and suggest proper treatment of postaxial polydactyly of the foot Materials and Methods: We analysed 37 cases of postaxial polydactyly. Mean post operative follow up period was 2 years 10 months. We analysed them according to morphological, radiological and operative findings. Patients were classified into extra 5th toe polydactyly and extra 6th toe polydactyly based on the abnormal extradigit, and subdivided into joint origin type, bone origin type and floating type based on duplication pattern. Results: 23 cases were extra 5th toe polydactyly and 14 cases were extra 6th toe polydactyly. Most common types were metatarsophalangeal joint origin type of extra 6th toe polydactyly. Compared with extra 5th toe polydactyly, extra 6th toe polydactyly originated from more proximal part and had not syndactylism. Conclusion: As the duplication level was more distal, degree of syndactylism and nail union was more severe. In case of syndactyly between 5th and 6th toe, abnormal extradigit was 5th toe.

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RUNX1 Upregulation Causes Mitochondrial Dysfunction via Regulating the PI3K-Akt Pathway in iPSC from Patients with Down Syndrome

  • Yanna Liu;Yuehua Zhang;Zhaorui Ren;Fanyi Zeng;Jingbin Yan
    • Molecules and Cells
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    • 제46권4호
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    • pp.219-230
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    • 2023
  • Down syndrome (DS) is the most common autosomal aneuploidy caused by trisomy of chromosome 21. Previous studies demonstrated that DS affected mitochondrial functions, which may be associated with the abnormal development of the nervous system in patients with DS. Runt-related transcription factor 1 (RUNX1) is an encoding gene located on chromosome 21. It has been reported that RUNX1 may affect cell apoptosis via the mitochondrial pathway. The present study investigated whether RUNX1 plays a critical role in mitochondrial dysfunction in DS and explored the mechanism by which RUNX1 affects mitochondrial functions. Expression of RUNX1 was detected in induced pluripotent stem cells of patients with DS (DS-iPSCs) and normal iPSCs (N-iPSCs), and the mitochondrial functions were investigated in the current study. Subsequently, RUNX1 was overexpressed in N-iPSCs and inhibited in DS-iPSCs. The mitochondrial functions were investigated thoroughly, including reactive oxygen species levels, mitochondrial membrane potential, ATP content, and lysosomal activity. Finally, RNA-sequencing was used to explore the global expression pattern. It was observed that the expression levels of RUNX1 in DS-iPSCs were significantly higher than those in normal controls. Impaired mitochondrial functions were observed in DS-iPSCs. Of note, overexpression of RUNX1 in N-iPSCs resulted in mitochondrial dysfunction, while inhibition of RUNX1 expression could improve the mitochondrial function in DS-iPSCs. Global gene expression analysis indicated that overexpression of RUNX1 may promote the induction of apoptosis in DS-iPSCs by activating the PI3K/Akt signaling pathway. The present findings indicate that abnormal expression of RUNX1 may play a critical role in mitochondrial dysfunction in DS-iPSCs.

프로세스 마이닝을 활용한 온라인 교육 오픈 플랫폼 내 학습 패턴 분석 방법 개발 (Toward understanding learning patterns in an open online learning platform using process mining)

  • 김태영;김효민;조민수
    • 지능정보연구
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    • 제29권2호
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    • pp.285-301
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    • 2023
  • 비대면 교육의 중요성 및 필요에 따른 수요가 증가함에 따라 국내외 온라인 교육 오픈 플랫폼이 활성화되고 있다. 본 플랫폼은 대학 등 교육 전문기관과 달리 학습자의 자율성이 높은 특징을 가지며 이에 따라 개인화된 학습 도구를 지원하기 위한 학습 행동 데이터의 분석 연구가 중요시 되고 있다. 실제적인 학습 행동을 이해하고 패턴을 도출하기 위하여 프로세스 마이닝이 다수 활용되었지만 온라인 교육 플랫폼과 같이 자기 관리형(Self-regulated) 환경에서의 학습 로그를 기반한 사례는 부족하다. 또한, 대부분 프로세스 모델 도출 등의 모델 관점에서의 접근이며 분석 결과의 실제적인 적용을 위한 개별 패턴 및 인스턴스 관점에서의 방법 제시는 미흡하다. 본 연구에서는 온라인 교육 오픈 플랫폼 내 학습 패턴을 파악하기 위하여 프로세스 마이닝을 활용한 분석 방법을 제시한다. 학습 패턴을 다각도로 분석하기 위하여 모델, 패턴, 인스턴스 관점에서의 분석 방법을 제시하며, 프로세스 모델 발견, 적합도 검사, 군집화 기법, 예측 알고리즘 등 다양한 기법을 활용한다. 본 방법은 국내 오픈 교육 플랫폼 내 기계학습 관련 강좌의 학습 로그를 추출하여 분석하였다. 분석 결과 온라인 강의의 특성에 맞게 비구조화된 프로세스 모델을 도출할 수 있었으며 구체적으로 한 개의 표준 학습 패턴과 세 개의 이상 학습 패턴으로 세분화할 수 있었다. 또한, 인스턴스별 패턴 분류 예측 모델을 도출한 결과 전체 흐름 중 초기 30%의 흐름을 바탕으로 예측하였을 때 0.86의 분류 정확도를 보였다. 본 연구는 프로세스 마이닝을 활용하여 학습자의 패턴을 체계적으로 분석한다는 점에서 기여점을 가진다.

기능기반 형상변형기술을 응용한 환자맞춤형 근골격 모델의 보행패턴 예측에 관한 연구 (Musculoskeletal Models to Predict Patient-specific Gait Patterns Using Function-based Morphing Technique)

  • 박병건;구본열;박은주;체재욱;이순혁;김재정
    • 한국CDE학회논문집
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    • 제17권6호
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    • pp.443-455
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    • 2012
  • The configuration of a musculoskeletal (MS) system is closely related to the individual motions of the human body. Many researches have been focused on evaluating the associations between the MS configuration and the individual motion using patient-specific MS models, but it still remains a challenging issue to accurately predict the motion by differed configurations of the MS system. The main objective of this paper is to predict the changes of a patient-specific gait by altering the geometric parameters of the hip joint using function-based morphing method (FBM). FBM is suitable for motion analysis since this method provide a robust way to morph a MS model while preserving the biomechanical functions of the bones. Computed-muscle control technique is used to calculate the muscle excitations to reproduce the targeted motion within a digital MS model without the motion-captured data. We applied this approach to a patient who has an abnormal gait pattern. Results showed that the femoral neck length and the angle significantly affect to the motion especially for the hip abduction angle during gait, and that this approach is suitable for gait prediction.

Analysis of TIMP-2 and Vimentin Protein Expression and Epigenetic Reprogramming in Cloned Bovine Placentae

  • Kim, Hong-Rye;Han, Rong-Xun;Lee, Hye-Ran;Yoon, Jong-Taek;Cheong, Hee-Tae;Park, Chang-Sik;Jin, Dong-Il
    • Reproductive and Developmental Biology
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    • 제31권2호
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    • pp.97-102
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    • 2007
  • The objective of this study was to analyzed pattern of proteins expression abnormally in cloned bovine placenta. TIMP-2 protein whose function is related to extracellular matrix degradation and tissue remodeling processes was one of differentially up-regulated proteins in SCNT placenta. And one of down-regulated protein in SCNT placenta was identified as vimentin protein that is presumed to stabilize the architecture of the cytoplasm. The expression patterns of these proteins were validated by Western blotting. To evaluate how regulatory loci. of TIMP-2 and vimentin genes was programmed reprogramming in cloned placenta. the status of DNA methylation in the promoter region of TIMP-2 and vimentin genes was analyzed by sodium Bisulfite mapping. The DNA methylation results showed that there was not difference in methylation pattern of TIMP-2 and vimentin loci between cloned and normal placenta. Histone H3 acetylation state of the nucleosome was analyzed in the cloned placental and normal placenta by Western blotting. A small portion of the protein lysates were subjected to Western blotting with the antibodies against anti acetyl-Histone H3. Overall histone H3 acetylation state of SCNT placenta was significantly higher than those of normal placenta cells. It is postulated that cloned placenta at the end of gestation seems to be unusual in function and morphology of placenta via improper expression of TIMP-2 and vimentin by abnormal acetylation states of cloned genome.

Methylation Status of H19 Gene in Embryos Produced by Nuclear Transfer of Spermatogonial Stem Cells in Pig

  • Lee, Hyun-Seung;Lee, Sung-Ho;Gupta, Mukesh Kumar;Uhm, Sang-Jun;Lee, Hoon-Taek
    • Reproductive and Developmental Biology
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    • 제35권1호
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    • pp.67-75
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    • 2011
  • The faulty regulation of imprinting gene lead to the abnormal development of reconstructed embryo after nuclear transfer. However, the correlation between the imprinting status of donor cell and preimplantation stage of embryo development is not yet clear. In this study, to determine this correlation, we used the porcine spermatogonial stem cell (pSSC) and fetal fibroblast (pFF) as donor cells. As the results, the isolated cells with laminin matrix selection strongly expressed the GFR ${\alpha}$-1 and PLZF genes of SSCs specific markers. The pSSCs were maintained to 12 passages and positive for the pluripotent marker including OCT4, SSEA1 and NANOG. The methylation analysis of H19 DMR of pSSCs revealed that the zinc finger protein binding sites CTCF3 of H19 DMRs displayed an androgenic imprinting pattern (92.7%). Also, to investigate the reprogramming potential of pSSCs as donor cell, we compared the development rate and methylation status of H19 gene between the reconstructed embryos from pFF and pSSC. This result showed no significant differences of the development rate between the pFFs ($11.2{\pm}0.8%$) and SSCs ($13.3{\pm}1.1%$). However, interestingly, while the CTCF3 methylation status of pFF-NT blastocyst was decreased (36.3%), and the CTCF3 methylation status of pSSC-NT blastocyst was maintained. Therefore, this result suggested that the genomic imprinting status of pSSCs is more effective than that of normal somatic cells for the normal development because the maintenance of imprinting pattern is very important in early embryo stage.

웨어러블 기기를 이용한 실시간 상황인식에서의 잡음제거 (Noise Reduction in Real-time Context Aware using Wearable Device)

  • 김태호;서동혁;윤신숙;류근호
    • 디지털콘텐츠학회 논문지
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    • 제19권9호
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    • pp.1803-1810
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    • 2018
  • 사물인터넷 기술을 활용하는 연구가 활발하게 진행되고 있다. 사물인터넷을 활용하는 스마트 웨어러블 기기의 상황인식 기능을 향상시키기 위하여 센서부의 이벤트 데이터에 대한 잡음 제거방안을 제안하였다. 본 연구에서는 저역필터를 이용함으로써 비정상적으로 측정된 값에 대한 감쇠를 유도하고 센서의 이벤트 데이터를 이용한 상황 인지에서 유익을 얻을 수 있었다. 스마트 폰과 스마트워치에 기본 내장되어 있는 3축 가속도 센서가 감지하여 보고한 이벤트 데이터를 활용하여 검증한 결과 비정상적으로 과도하게 측정되어 입수된 잡음 값에 대한 값에 대한 감쇠처리를 실행할 수 있었다. 이와 같이 잡음이 제거된 값의 패턴을 분석함으로서 실시간 상황인식에 필요한 다양한 패턴 자료를 얻을 수 있었다.