• 제목/요약/키워드: distinctive features

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중추신경계 수막종과 신경초종의 압착도말 세포학적 소견 및 감별진단 (Crush Cytology Features and Differential Diagnosis of Meningiomas and Schwannomas in Central Nervous System)

  • 김영주;전미영;양영일;김찬환;윤혜경;강신광
    • 대한세포병리학회지
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    • 제7권2호
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    • pp.169-176
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    • 1996
  • This study was peformed in order to evaluate the usefulness of the crush cytologic features and differential diagnosis between meningiomas and schwannomas in the central nervous system. Deeply seated and unusually located meningiomas and schwannomas with equivocal or erroneous frozen section diagnosis can be correctly diagnosed cytologically in crush preparations. Twenty-four meningiomas and nine schwannomas were studied by frozen section and crush preparation technique. These tumors displayed distinctive cytologic features. in meningiomas, the tumor tissue fragments were easy to crush, and the tumor cells were arranged in small clusters, flat sheets, papilla-like, whorling pattern or singly. Individual tumor cells displayed round or oval nuclei with finely granular chromatin pattern and inconspicuous small nucleoli. Occasionally psammoma bodies, nuclear pseudoinclusion or nuclear grooves were found. In schwannomas, tissue fragments were hard in consistency and difficult to crush. The crushed tissue presented as thick, irregular fragments with shard borders. The cells showed ill-defined cytoplasm and round, oval, cigar-shaped or curved nuclei. It is important to emphasize that the smear pattern under low-power view and cytologic features are helpful in discriminating between these two tumors.

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Crack location in beams by data fusion of fractal dimension features of laser-measured operating deflection shapes

  • Bai, R.B.;Song, X.G.;Radzienski, M.;Cao, M.S.;Ostachowicz, W.;Wang, S.S.
    • Smart Structures and Systems
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    • 제13권6호
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    • pp.975-991
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    • 2014
  • The objective of this study is to develop a reliable method for locating cracks in a beam using data fusion of fractal dimension features of operating deflection shapes. The Katz's fractal dimension curve of an operating deflection shape is used as a basic feature of damage. Like most available damage features, the Katz's fractal dimension curve has a notable limitation in characterizing damage: it is unresponsive to damage near the nodes of structural deformation responses, e.g., operating deflection shapes. To address this limitation, data fusion of Katz's fractal dimension curves of various operating deflection shapes is used to create a sophisticated fractal damage feature, the 'overall Katz's fractal dimension curve'. This overall Katz's fractal dimension curve has the distinctive capability of overcoming the nodal effect of operating deflection shapes so that it maximizes responsiveness to damage and reliability of damage localization. The method is applied to the detection of damage in numerical and experimental cases of cantilever beams with single/multiple cracks, with high-resolution operating deflection shapes acquired by a scanning laser vibrometer. Results show that the overall Katz's fractal dimension curve can locate single/multiple cracks in beams with significantly improved accuracy and reliability in comparison to the existing method. Data fusion of fractal dimension features of operating deflection shapes provides a viable strategy for identifying damage in beam-type structures, with robustness against node effects.

한국 소비자들의 명품에 대한 개념 특성에 관한 연구 (Korean Consumers' Perceptions toward Luxury Products)

  • 최은정;홍경희;이윤정
    • 패션비즈니스
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    • 제14권5호
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    • pp.195-215
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    • 2010
  • The emergence of the luxury market has led numerous academic researchers, as well as marketers in the luxury market, to pay attention to both identifying luxury brand features and measuring perceptions toward luxury brands. Especially, Korea is a significant emerging market for luxury goods. Young consumers and male consumers are getting into the luxury market fast and these new segments will keep increasing. There are only a few studies related to distinctive definitions of luxury brands and measurement development for the Korean market. However, there are some limitations in these previous studies in that they did not capture the nature of luxury due to their inappropriate of subjects and approach in data collection and to lack of a perspective of Korean specific features. Thus, the purpose of this research is to identify Korean consumers' perceptions toward luxury products and, ultimately, to develop a reliable and valid measurement items for the luxury products' features for the Korean market. Defining the three high constructs(functional, emotional, and symbolic aspects) as a key needs and benefits on luxury brands, we looked at four stages of development for generating and deducting items by luxury industry experts and luxury consumers, as well as for testing measures by 20th~60th consumers. As a result, this study confirmed that luxury brands consists of high quality, high price, unique design, and luxury store; the emotional aspect construct combines craftsmanship, VIP service, and high social status; and the symbolic construct includes brand heritage and being a well-known brand. Finally, 22 measurement items (Measures of Luxury Brand for Korea: LBK) were developed for the conceptual features for luxury brands from a Korean perspective. This study provided understanding of Korean consumers' perceptions toward luxury brands from an academic perspective. For the managerial implication of this study, LBK can be utilized to judge both luxury brands and mass brands, to diagnose current a brand's luxuriousness, from the customer's point-of-view, and, finally, to measure a Key Performance Index (KPI) of luxury brand companies.

비지도학습의 딥 컨벌루셔널 자동 인코더를 이용한 셀 이미지 분류 (Cell Images Classification using Deep Convolutional Autoencoder of Unsupervised Learning)

  • 칼렙;박진혁;권오준;이석환;권기룡
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2021년도 추계학술발표대회
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    • pp.942-943
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    • 2021
  • The present work proposes a classification system for the HEp-2 cell images using an unsupervised deep feature learning method. Unlike most of the state-of-the-art methods in the literature that utilize deep learning in a strictly supervised way, we propose here the use of the deep convolutional autoencoder (DCAE) as the principal feature extractor for classifying the different types of the HEp-2 cell images. The network takes the original cell images as the inputs and learns to reconstruct them in order to capture the features related to the global shape of the cells. A final feature vector is constructed by using the latent representations extracted from the DCAE, giving a highly discriminative feature representation. The created features will be fed to a nonlinear classifier whose output will represent the final type of the cell image. We have tested the discriminability of the proposed features on one of the most popular HEp-2 cell classification datasets, the SNPHEp-2 dataset and the results show that the proposed features manage to capture the distinctive characteristics of the different cell types while performing at least as well as the actual deep learning based state-of-the-art methods.

Gait-Based Gender Classification Using a Correlation-Based Feature Selection Technique

  • Beom Kwon
    • 한국컴퓨터정보학회논문지
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    • 제29권3호
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    • pp.55-66
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    • 2024
  • 성별 분류 기술은 법의학, 감시 시스템, 인구 통계 연구 등 다양한 분야에서 활용될 수 있기 때문에, 연구자들로부터 많은 관심을 받고 있다. 남성과 여성의 보행 사이에는 서로 구별되는 특징이 있다는 것이 기존 연구들에서 밝혀지면서, 3차원 보행 데이터에서 성별을 분류하는 다양한 기술들이 제안됐다. 하지만, 기존 기술들을 사용해 3차원 보행 데이터로부터 추출한 보행 특징 중에는 서로 유사 또는 중복되거나 성별 분류에 도움이 되지 않는 특징들도 있다. 이에 본 연구에서는 상관관계 기반 특징 선별 기술을 활용해, 성별 분류에 도움이 되는 특징들을 선별하는 방법을 제안한다. 그리고 제안하는 특징 선별 기술의 효용성을 입증하기 위해서, 인터넷상에 공개된 3차원 보행 데이터 세트(Dataset)를 활용하여 제안하는 특징 선별 기술을 적용하기 전과 후에 대해 성별 분류 모델들의 성능을 비교 분석하였다. 실험에는 이진 분류 문제에 적용할 수 있는 여덟 가지의 머신러닝 알고리즘(Machine Learning Algorithms)을 활용하였다. 실험 결과, 제안하는 특징 선별 기술을 사용하면 성별 분류 성능은 유지하면서, 특징의 개수를 82개에서 60개까지, 22개를 줄일 수 있다는 것을 입증하였다.

Multiple-Shot Person Re-identification by Features Learned from Third-party Image Sets

  • Zhao, Yanna;Wang, Lei;Zhao, Xu;Liu, Yuncai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권2호
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    • pp.775-792
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    • 2015
  • Person re-identification is an important and challenging task in computer vision with numerous real world applications. Despite significant progress has been made in the past few years, person re-identification remains an unsolved problem. This paper presents a novel appearance-based approach to person re-identification. The approach exploits region covariance matrix and color histograms to capture the statistical properties and chromatic information of each object. Robustness against low resolution, viewpoint changes and pose variations is achieved by a novel signature, that is, the combination of Log Covariance Matrix feature and HSV histogram (LCMH). In order to further improve re-identification performance, third-party image sets are utilized as a common reference to sufficiently represent any image set with the same type. Distinctive and reliable features for a given image set are extracted through decision boundary between the specific set and a third-party image set supervised by max-margin criteria. This method enables the usage of an existing dataset to represent new image data without time-consuming data collection and annotation. Comparisons with state-of-the-art methods carried out on benchmark datasets demonstrate promising performance of our method.

공동을 동반한 만성 진행성 폐렴양 병변 (Chronic Progressive Pneumonic Consolidation with Cavity)

  • 권선옥;김형중;안철민;김성규;이원영;김상진;이기범
    • Tuberculosis and Respiratory Diseases
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    • 제38권4호
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    • pp.401-405
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    • 1991
  • Bronchioloalveolar cell carcinoma accounts for less than 6% of all primary lung cancer but has distinct clinical and radiological features and unusual pathologic appearance. The characteristic features are its peripheral location and tendency of rapid progression to diffuse type via aeroginous and lymphatic route without surgical intervention. Among them, mucin secretory type bronchioloalveolar cell carcinoma is the rarest and most distinctive. We experienced a case of mucin secretory type bronchioloalveolar cell carcinoma in a 47 year old female with roentgenographic findings of chronic progressive pulmonary consolidation with muliple cavities.

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림프절 전이를 동반한 췌소도세포종 1예의 세침흡인 생검소견 (Cytologic Findings of Pancreatic Islet Cell Tumor with Lymph Node Metastasis)

  • 김의정;최윤정;김규래;정우희;이광길
    • 대한세포병리학회지
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    • 제3권2호
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    • pp.60-66
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    • 1992
  • Islet cell neoplasms (ICNs) of pancreas are uncommon, and the cytologic features of ICN are not well delineated. We report a case of islet cell tumor with lymph node metastasis, describing the cytologic, histologic, and immunohistochemical findings. A 40-year-old woman was admitted due to upper gastrointestinal bleeding of 2 days' duration. Computed tomography of the abdomen showed a diffusely infiltrating bulky mass in the body and tail of the pancreas. The fine needle aspirate showed moderate to high cellularity, monotonous cell population, single ceil predominance over small cell clusters, and eccentrically located nuclei. Although the definite diagnosis of ICN on the cytologic basis is difficult, the cytomorphologic features are sufficiently distinctive to suggest the diagnosis.

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Molecular Taxonomical Re-classification of the Genus Suillus Micheli ex S. F. Gray in South Korea

  • Min, Young Ju;Park, Myung Soo;Fong, Jonathan J.;Seok, Soon Ja;Han, Sang-Kuk;Lim, Young Woon
    • Mycobiology
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    • 제42권3호
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    • pp.221-228
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    • 2014
  • The fungal genus Suillus Micheli ex S. F. Gray plays important roles in the survival and growth of plant seedlings. Humans have utilized these ectomycorrhizal fungi to enhance the nutrient uptake and defense systems of plants, particularly in the reforestation of coniferous forests. The genus Suillus is easily distinguishable by its distinctive morphological features, although the morphology of the fruiting body does not facilitate reliable interspecies discrimination. On the basis of micro-morphological features and internal transcribed spacer sequence analysis, we found that 51 of 117 Korean Suillus specimens had initially been misidentified. The list of the 12 Suillus species previously recorded in Korea was re-evaluated and revised to only eight distinct species: S. americanus, S. bovinus, S. granulatus, S. grevillei, S. luteus, S. pictus, S. placidus, and S. viscidus. We provide taxonomical descriptions for six of these species from the sample specimens.

Structural flexibility of Escherichia coli IscU, the iron-sulfur cluster scaffold protein

  • Kim, Bokyung;Kim, Jin Hae
    • 한국자기공명학회논문지
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    • 제24권3호
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    • pp.86-90
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    • 2020
  • Iron-sulfur (Fe-S) clusters are one of the most ancient yet essential cofactors mediating various essential biological processes. In prokaryotes, Fe-S clusters are generated via several distinctive biogenesis mechanisms, among which the ISC (Iron-Sulfur Cluster) mechanism plays a house-keeping role to satisfy cellular needs for Fe-S clusters. The Escherichia coli ISC mechanism is maintained by several essential protein factors, whose structural characterization has been of great interest to reveal mechanistic details of the Fe-S cluster biogenesis mechanisms. In particular, nuclear magnetic resonance (NMR) spectroscopic approaches have contributed much to elucidate dynamic features not only in the structural states of the protein components but also in the interaction between them. The present minireview discusses recent advances in elucidating structural features of IscU, the key player in the E. coli ISC mechanism. IscU accommodates exceptional structural flexibility for its versatile activities, for which NMR spectroscopy was particularly successful. We expect that understanding to the structural diversity of IscU provides critical insight to appreciate functional versatility of the Fe-S cluster biogenesis mechanism.