• 제목/요약/키워드: Function Classification System

검색결과 529건 처리시간 0.031초

적응공명이론에 의한 자동 부분형상 인식시스템 (Automatic partial shape recognition system using adaptive resonance theory)

  • 박영태;양진성
    • 전자공학회논문지B
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    • 제33B권3호
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    • pp.79-87
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    • 1996
  • A new method for recognizing and locating partially occluded or overlapped two-dimensional objects regardless of their size, translation, and rotation, is presented. Dominant points approximating occuluding contoures of objects are generated by finding local maxima of smoothed k-cosine function, and then used to guide the contour segment matching procedure. Primitives between the dominant points are produced by projecting the local contours onto the line between the dominant points. Robust classification of primitives. Which is crucial for reliable partial shape matching, is performed using adaptive resonance theory (ART2). The matched primitives having similar scale factors and rotation angles are detected in the hough space to identify the presence of the given model in the object scene. Finally the translation vector is estimated by minimizing the mean squred error of the matched contur segment pairs. This model-based matching algorithm may be used in diveerse factory automation applications since models can be added or changed simply by training ART2 adaptively without modifying the matching algorithm.

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비피더스 연구동향 (Research Trends in Bifidobacterium)

  • 박명수;지근억
    • KSBB Journal
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    • 제25권4호
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    • pp.319-329
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    • 2010
  • Bifidobacteria comprises up to 25% of the cultivable fecal bacteria in adults and 80% in infants. Many in vivo and clinical research results supporting its efficacy in the prevention and improvement of gastrointestinal health have been accumulated. As a consequence, expert committee WHO/FAO expert committee recommended Bifidobacterium as representative probiotics together with Lactobacillus acidophilus. In this review, research trends in bifidobacteria concerning the classification and identification of the genus Bifidobacterium, modulation of intestinal microflora, improvement of constipation, prevention of diarrhea, alleviation of atopy and allergy, barrier function through antimicrobial activity andimmune enhancement of the host will be introduced. Several gene expression systems based on bifidobacterial plasmids have been developed and successfully used to express several heterologous genes including anticancer proteins in Bifidogacterium. In animal test, bifidobacteria was proven to be a promising candidate for safe gene delivery system which can specifically colonize in the solid tumor.

남성복의 치수규격을 위한 체형분류(제3보) -사진자료에 의한 동체부의 분류- (Classification of Bodytype on Adult Male for the Apparel Sizing System (Part 3) -Bodytype of Trunk from the Photoqraphic Data-)

  • 김구자
    • 한국의류학회지
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    • 제19권6호
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    • pp.924-932
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    • 1995
  • Concept of the comfort and fitness has become a major concern in the basic function of the ready.made clothes. Until now ready-made clothes were not made by on the basis of the bodytype, but by the body size only This research was performed to classify and characterize the bodytypes of Korean adult males. Sample size was 1290 subjects and their age range was from 19 to 54 years old. 25 variables from the photographic data were applied to analyze the bodytype of trunk. Data were analyzed by the multivariate method, especially factor and cluster analysis. The groups forming a cluster can be subdivided into 5 sets by crosstabulation extracted by the hierarchical cluster analysis. 5 bodytypes classified by the photographic sources could be combined with the anthropometric data and were demonstrated with 5 silhouette. Type 3 and 4 in trunk were dominant and were composed of the majority of 55.6% of the subjects. Bodytypes of Korean males were influenced by the degree of posture erectness and of curvature of the front side of the body in waist and abdomen.

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한국의 기능성 유제품 표시제도 개선방안 (Amendment Scheme of Labeling Regulation for Functionality of Dairy Products)

  • 박기환
    • Journal of Dairy Science and Biotechnology
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    • 제25권1호
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    • pp.47-54
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    • 2007
  • The labeling for functionality of food or food components are recognized globally and are essential for the growth of dairy product industry. To expand the functional claims of dairy product especially fermented milk product, the regulations restricting the labeling of functionality should be amended as soon as possible. The labeling regulations of functionality and efficacy for processed and functional foods in related Acts and subordinated statues such as definition, scope of claims, etc. were reviewed and the problems existed in the system were identified. The definition and classification of efficacy for processed food in Food Sanitation Act were analyzed to revise the labeling regulation of dairy product. A draft of amended labeling regulation for the functionality of dairy product is proposed, which provides consumers with appropriate information of beneficial effects on health purpose for human body structure and function. In order to develop the dairy products and related industries, these contents should be considered when the annexed Table 14 in the Enforcement Rule of the Processing of Livestock Products Act is amended.

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Support Vector Machine을 이용한 초기 소프트웨어 품질 예측 (Early Software Quality Prediction Using Support Vector Machine)

  • 홍의석
    • 한국IT서비스학회지
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    • 제10권2호
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    • pp.235-245
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    • 2011
  • Early criticality prediction models that determine whether a design entity is fault-prone or not are becoming more and more important as software development projects are getting larger. Effective predictions can reduce the system development cost and improve software quality by identifying trouble-spots at early phases and proper allocation of effort and resources. Many prediction models have been proposed using statistical and machine learning methods. This paper builds a prediction model using Support Vector Machine(SVM) which is one of the most popular modern classification methods and compares its prediction performance with a well-known prediction model, BackPropagation neural network Model(BPM). SVM is known to generalize well even in high dimensional spaces under small training data conditions. In prediction performance evaluation experiments, dimensionality reduction techniques for data set are not used because the dimension of input data is too small. Experimental results show that the prediction performance of SVM model is slightly better than that of BPM and polynomial kernel function achieves better performance than other SVM kernel functions.

Investigation of Airborne LIDAR Intensity data

  • Chang Hwijeong;Cho Woosug
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.646-649
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    • 2004
  • LiDAR(Light Detection and Ranging) system can record intensity data as well as range data. Recently, LiDAR intensity data is widely used for landcover classification, ancillary data of feature extraction, vegetation species identification, and so on. Since the intensity return value is associated with several factors, same features is not consistent for same flight or multiple flights. This paper investigated correlation between intensity and range data. Once the effects of range was determined, the single flight line normalization and the multiple flight line normalization was performed by an empirical function that was derived from relationship between range and return intensity

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Laser Sensor for Obstacle Detection of AGV

  • Park, Kyoung-Taik;Shin, Young-Tae;Kang, Byung-Su
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.653-657
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    • 2005
  • AGV is very useful equipment to transfer containers in automated container terminal. AGV must have Obstacle Detection System (ODS) for port automation. ODS needs the function to classify some specified object from background in acquired data. And it must be able to track classified moving objects. Finally, ODS could determine its next action for safe driving whether it should do emergency stop or speed down, or it should change its deriving lane. For these functions, ODS can have many different kinds of algorithm. In this paper, we present one of AGV to be used in automated container terminal.

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퍼지 집합 이론을 이용한 공급지장 기대치의 산정 (LOLE(Loss of Load Expctatiom) Evaluation using Fuzzy Set Theory)

  • 심재홍;정현수;김진오
    • 대한전기학회논문지:전력기술부문A
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    • 제48권9호
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    • pp.1055-1063
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    • 1999
  • This paper present a conceptual possibilistic approach using fuzzy set theory to manage the uncertainties in the given reliability input date of the practical power system. In this paper, an algorithm is introduced to calculate the possibilstic reliability indices according to the degree of uncertainty in the given data. The probability distribution function can be transformed into an appropriate possibilstic representation using the probability-Possibility Consistency principle(PPCP) algorithm. In this the algorithm, the transformation is performation by making a compromise between the transformation consistency and the human updating experience. Fuzzy classifcation theory is applied to reduced the number of load data. The fuzzy classification method determines the closeness of load data points by assigning them to various clusters and then determening the distance between the clusters. The IEEE-RTS with 32-generating units is used to demonstrate the capability of the proposed algorithm.

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고등어(Scomber japonicus), 불볼락(Sebastes thompsoni) 및 쥐노래미(Hexagrammos otakii)에 의한 광대역 음향산란신호의 시간-주파수 분석 (Time-Frequency Analysis of Broadband Acoustic Scattering from Chub Mackerel Scomber japonicus, Goldeye Rockfish Sebastes thompsoni, and Fat Greenling Hexagrammos otakii)

  • 이대재
    • 한국수산과학회지
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    • 제48권2호
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    • pp.221-232
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    • 2015
  • Broadband echoes measured in live chub mackerel Scomber japonicus, goldeye rockfish Sebastes thompsoni, and fat greenling Hexagrammos otakii with different morphologies and internal characteristics were analyzed in time and frequency domains to understand the species-specific echo feature characteristics for classifying fish species. The mean echo image for each time-frequency representation dataset obtained as a function of orientation angle was extracted to mitigate the effect of fish orientation on acoustic scattering. The joint time-frequency content of the broadband echo signals was obtained using the smoothed pseudo-Wigner-Ville distribution (SPWVD). The SPWVDs were analyzed for each echo signature of the three fish species. The results show that the time-frequency analysis provided species-specific echo structure patterns and metrics of the broadband acoustic signals to facilitate fish species classification.

Design DNA 방법을 이용한 재구성 가능한 설계 지식의 표현 (Reconstructible design knowledge expression using Design DNA method)

  • 고희병;하성도;김태수;이수홍
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2003년도 춘계학술대회 논문집
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    • pp.1-4
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    • 2003
  • Knowledge classification and expression of constructed knowledge have been main research issues in the field of knowledge representation. Constructed design knowledge of the former product loses its utility when new products with different structures are introduced to the market. In order to construct the design knowledge for a new product. designers need to reconstruct the design knowledge with new relationships. The design knowledge has been constructed with level trees, but it is difficult to rearrange the relations. Design DNA is proposed in this work in order to facilitate the rearrangement of design knowledge and give flexibility to knowledge structure. Design DNA is based on Layout-oriented domain knowledge and Function-oriented domain knowledge, which enables to generate new design knowledge that will result in new part geometries for given constraints on the part functions. Design DNA is applied to the design knowledge of lever system of the automatic transmission of passenger cars as an example.

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