• Title/Summary/Keyword: six feature

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A Comparative - Research on the Residence Disposition and Feature of Ground Plan a Clan village in Kyuong-buk Area (경북지방 동성마을의 주거배치 및 평면특성에 관한 비교 연구)

  • Kim, Young-Man;Kwak, Dong-Yeob
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 2003.11a
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    • pp.235-242
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    • 2003
  • This reserch is to compare and analyze of the residence disposition and feature of ground plan on Seomi 2 Dong in An-dong and Hyun-ri in Mun-gyong. The scope of this reserch concentrated on 33-housed which are 12-housed in Seomi 2 Dong and 21-housed in Hyun-ri. The focus of this reserch is mainly to investigate the characteristic of the site, and ground plans on individual houses. As result of it, there are mostly Yeo-Kan houses (six spans sized) on Seomi 2-dong village in An-Dong on the other hand there are a lot of Straight-Houses in Hyun-ri in Mun-gyong. Otherwise in characteristic of residence, There is dissimilarity between Seomi 2-dong which located in mountainous districts has space organization of utilitarian and Hyun-Ri has justification primacy as a farm village.

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Determination of Camera System Orientation and Translation in Cartesian Coordinate (직교 좌표에서 카메라 시스템의 방향과 위치 결정)

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    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 2000.04a
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    • pp.109-114
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    • 2000
  • A new method for the determination of camera system rotation and translation from in 3-D space using recursive least square method is presented in this paper. With this method, the calculation of the equation is found by a linear algorithm. Where the equation are either given or be obtained by solving five or more point correspondences. Good results can be obtained in the presence if more than the eight point. A main advantage of this new method is that it decouple rotation and translation, and then reduces computation. With respect to error in the solution point number in the input image data, adding one more feature correspondence to required minimum number improves the solution accuracy drastically. However, further increase in the number of feature correspondence improve the solution accuracy only slowly. The algorithm proposed by this paper is used to make camera system rotation and translation easy to recognize even when camera system attached at end effecter of six degrees of freedom industrial robot manipulator are applied industrial field.

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Microprocessor Control of a Prosthetic Arm by EMG Pattern Recognition (EMG 패턴인식을 이용한 인공팔의 마이크로프로세서 제어)

  • Hong, Suk-Kyo
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.33 no.10
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    • pp.381-386
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    • 1984
  • This paper deals with the microcomputer realization of EMG pattern recognition system which provides identification of motion commands from the EMG signals for the on-line control of a prosthetic arm. A probabilistic model of pattern is formulated in the feature space of integral absolute value(IAV) to describe the relation between a motion command and the location of corresponding pattern. This model enables the derivation of sample density function of a command in the feature space of IAV. Classification is caried out through the multiclass sequential decision process, where the decision rule and the stopping rule of the process are designed by using the simple mathematical formulas defined as the likelihood probability and the decision measure, respectively. Some floating point algorithms such as addition, multiplication, division, square root and exponential function are developed for calculating the probability density functions and the decision measure. Only six primitive motions and one no motion are incorporated in this paper.

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Facial Expression Classification Using Deep Convolutional Neural Network

  • Choi, In-kyu;Ahn, Ha-eun;Yoo, Jisang
    • Journal of Electrical Engineering and Technology
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    • v.13 no.1
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    • pp.485-492
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    • 2018
  • In this paper, we propose facial expression recognition using CNN (Convolutional Neural Network), one of the deep learning technologies. The proposed structure has general classification performance for any environment or subject. For this purpose, we collect a variety of databases and organize the database into six expression classes such as 'expressionless', 'happy', 'sad', 'angry', 'surprised' and 'disgusted'. Pre-processing and data augmentation techniques are applied to improve training efficiency and classification performance. In the existing CNN structure, the optimal structure that best expresses the features of six facial expressions is found by adjusting the number of feature maps of the convolutional layer and the number of nodes of fully-connected layer. The experimental results show good classification performance compared to the state-of-the-arts in experiments of the cross validation and the cross database. Also, compared to other conventional models, it is confirmed that the proposed structure is superior in classification performance with less execution time.

A Profile of Naturally Occurring Plasmids from Selected Strains of Vibrios

  • Younghee Kim
    • Journal of Environmental Science International
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    • v.1 no.2
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    • pp.93.2-97
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    • 1992
  • The naturally occurring plasmids of Vibrio species have been isolated in part to investigate their genetic traits. Among six different Vibrio species tested, Vibrio anguillarum, Vibrio fluvialis, Vibrio vulnificus, Vibrio mimicus and Vibrio furnissi did not show any presence of plasmid. One environmental isolate of Vibrio pnrahemolyticus harboring plasmid was observed. The isolated plasmid was 8.7 kb by analysis with restriction endonuclease digestion. No common feature was shown relationships between the presence of plasmid and resistance against commonly used antibiotic compounds from the tested Vibrios. Key words . plasmid, Vibrio anguillarum, Vibrio fluvialis, Vibrio uulnincus, Vibrio mimicus, Vibrio furnissi, Vibrio parahemolyticus.

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A Profile of Naturally Occurring Plasmids from Selected Strains of Vibrios

  • Kim, Young-Hee
    • Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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    • v.1 no.2
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    • pp.93-97
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    • 1997
  • The naturally occurring plasmids of Vibrio species have been isolated in part to investigate their genetic traits. Among six different Vibrio species tested, Vibrio anguillarum, Vibrio fluvialis, Vibrio vulnficus, Vibrio mimicus and Vibrio furnissi did not show any presence of plasmid. One environmental isolate of Vibrio parahaemolyticus harboring plasmid was observed. The isolated plasmid was 8.7 kb by analysis with restriction endonuclease digestion. No common feature was shown relationships between the presence of plasmid and resistance against commonly used antibiotic compounds from the tested Vibrios.

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QSEN Competencies in Pre-licensure Nursing Education and the Application to Cinenurducation (간호학생의 질 향상과 안전교육(QSEN) 역량개발을 위한 영화간호교육의 적용)

  • Oh, Jina;Shin, Hyewon;De Gagne, Jennie C.
    • The Journal of Korean Academic Society of Nursing Education
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    • v.18 no.3
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    • pp.474-485
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    • 2012
  • Purpose: The Quality and Safety Education for Nurses [QSEN] initiative group has identified six competencies (patient-centered care, teamwork and collaboration, evidence-based practice, quality improvement, safety, and informatics) for pre-licensure nursing education along with related knowledge, skills, and attitudes for each competency. The purpose of this article is to illustrate a teaching strategy that uses films to demonstrate the QSEN competencies in undergraduate nursing students. Method: A literature review was conducted to define QSEN competencies, and six feature-length commercial movies were selected through a systematic process. We provided film titles and their synopses that can be useful in teaching the QSEN six competencies to undergraduate nursing students. Results: Patch Adams for patient-centered care, Wit for teamwork and collaboration, Lorenzo's Oil for evidence-based practice, Am$\acute{e}$lie for quality improvement, Blindness and The Island for informatics can be applied in nursing classroom practices. Conclusion: Establishing the connection between QSEN competencies and cinenurducation is novel, yet it would provide a unique opportunity for nurse educators seeking to overcome the challenge of better preparing future nurses. In future studies, additional films should be considered to enhance nursing educational strategies.

Acoustic Identification of Six Fish Species using an Artificial Neural Network (인공 신경망에 의한 6개 어종의 음향학적 식별)

  • Lee, Dae-Jae
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.49 no.2
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    • pp.224-233
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    • 2016
  • The objective of this study was to develop an artificial neural network (ANN) model for the acoustic identification of commercially important fish species in Korea. A broadband echo acquisition and processing system operating over the frequency range of 85-225 kHz was used to collect and process species-specific, time-frequency feature images from six fish species: black rockfish Sebastes schlegeli, black scraper Thamnaconus modesutus [K], chub mackerel Scomber japonicus, goldeye rockfish Sebastes thompsoni, konoshiro gizzard shad Konosirus punctatus and large yellow croaker Larimichthys crocea. An ANN classifier was developed to identify fish species acoustically on the basis of only 100 dimension time-frequency features extracted by the principal components analysis (PCA). The overall mean identification rate for the six fish species was 88.5%, with individual identification rates of 76.6% for black rockfish, 82.8% for black scraper, 93.8% for chub mackerel, 90.6% for goldeye rockfish, 96.9% for konoshiro gizzard shad and 90.6% for large yellow croaker, respectively. These results demonstrate that individual live fish in well-controlled environments can be identified accurately by the proposed ANN model.

Delay of Gratification in Infancy : Effects of Infants' Temperament and Parenting

  • Rha Jong-Hay
    • International Journal of Human Ecology
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    • v.1 no.1
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    • pp.59-77
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    • 2000
  • The purpose of this study was to extend our understanding of the developmental antecedents of delay of gratification in infancy. The first goal was to examine direct effects of one feature of an infants’ temperament and of positive and negative parenting assumed at age one on children’s delay of gratification six months later. The second goal of the study was to test the interactive effect of early infant temperament and parenting on children’s delay of gratification. It was hypothesized that 1) less negative infants at 12 months would delay gratification longer six months later, 2) children of parents who provided more positive and sensitive feedback would delay gratification longer than children with parents who were more negative and less sensitive, and 3) there would be differential prediction of parenting for children who scored high and low in negative emotionality as infants. Toward this end, 81 infants were observed interacting at one year of age with their mothers and fathers during laboratory assessments to obtain measures of parenting and infant negative emotionality. At 18 months of age, the child’s capacity to delay touching attractive objects was measured. The main effects of infant negative emotionality and of mothering on children’s delay of gratification were not detected at standard levels of significance. Differential effects of parenting on children’s delay of gratification for infants with low or high negative emotionality, too, were not detected. However, the anticipated effect of fathering on delay of gratification was found in some analyses, indicating that the more positive fathering children received, the longer they could delay gratification in the laboratory six months later.

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Design Space Exploration of Embedded Many-Core Processors for Real-Time Fire Feature Extraction (실시간 화재 특징 추출을 위한 임베디드 매니코어 프로세서의 디자인 공간 탐색)

  • Suh, Jun-Sang;Kang, Myeongsu;Kim, Cheol-Hong;Kim, Jong-Myon
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.10
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    • pp.1-12
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    • 2013
  • This paper explores design space of many-core processors for a fire feature extraction algorithm. This paper evaluates the impact of varying the number of cores and memory sizes for the many-core processor and identifies an optimal many-core processor in terms of performance, energy efficiency, and area efficiency. In this study, we utilized 90 samples with dimensions of $256{\times}256$ (60 samples containing fire and 30 samples containing non-fire) for experiments. Experimental results using six different many-core architectures (PEs=16, 64, 256, 1,024, 4,096, and 16,384) and the feature extraction algorithm of fire indicate that the highest area efficiency and energy efficiency are achieved at PEs=1,024 and 4,096, respectively, for all fire/non-fire containing movies. In addition, all the six many-core processors satisfy the real-time requirement of 30 frames-per-second (30 fps) for the algorithm.