• Title/Summary/Keyword: Vector Group

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Sound parameters for classifying individual sows(Landrace×Yorkshire) during nursing behavior (수유행동시 모돈(랜드레이스×요크셔) 발성음의 개체 판별을 위한 음성 파라미터)

  • Jeon, Jung-Hwan;Chang, Hong-Hee;Ha, Jeung-Key;Kim, Hyeon-Hui;Koo, Ja-Min;Lee, Hyo-Jong;Yeon, Seong-Chan
    • Korean Journal of Veterinary Research
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    • v.43 no.1
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    • pp.165-169
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    • 2003
  • The aim of the present study was to analyse grunts of the sows and to extract parameters from the time and frequency signals in nursing behavior. Five crossbred $Landrace{\times}Yorkshire$ sows were used on day 5 or 6 postpartum. The grunts and the behaviors of the five sows were recorded with five digital camcorders. Three parameter groups [Group I: Formant vector alone, Group II: Formant vector+parameters from time signal, Group III: Formant vector+parameters from time signal-parameters eliminated by stepwise discriminant analysis backward (SDAB)] with parameter vectors extracted from single grunts in the maximum grunting rate period were used for individuality of the sows. The parameter groups were compared by a discriminant function analysis. The classification system adopted in the Group II represented the higher discriniation rate than those in other groups (Group I: 63.3%, Group II: 83.0%, Group III: 80.0%). This study demonstrated that formant, intensity, and pitch were available sound parameters for individuality of the sows during nursing behavior.

A Study on the Positioning of Brand Image of Ready-made Lady Wear (여성기성복 상표이미지의 포지셔닝에 관한 연구)

  • Kim Hae Jung;Lim Sook Ja
    • Journal of the Korean Society of Clothing and Textiles
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    • v.16 no.2
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    • pp.263-275
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    • 1992
  • This study intends to provide strategic positioning of brand image analysed from the view point of perceptual dimensions of clothing consumers. Consumers are segmented on the basis of the attributes of brand image, and in each segment, perceptual map is composed according to multidimensional scaling. The results are as follows; 1. According to the Benefit Segmentation, it is statistically significant that the consumers are divided into 'product-factor oriented group 'and' image-factor oriented group'. 2. From the analysis of perceptual map upon the 'similarity of brand image,'image-factor oriented group 'perceives more differently than 'product-factor oriented group' 3. From the analysis of perceptual map with the evaluation of attributes of brand image, price, promotion and design are significant determinants in 'total consumer group'. In addition, store image is significant determinant in' image-factor oriented group' and quality is significant determinant in' product-factor oriented group'. According to the evaluation of consumers on 8 brands with determining attribute-vector, ranks of brands in each segment are similar in the vector of price and promotion but different in the vector of design between segment groups. 4. From the analysis of perceptual map upon the preference of brand image, the distribution of preference and position of ideal point are different between segment groups. 5. With evaluation of purchase habit, statistically significant differences are found between groups segmented in the degree of importance of attributes, purchasing motive, purchasing time, sources of information and expenses for clothes.

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A Novel Automatic Algorithm for Selecting a Target Brain using a Simple Structure Analysis in Talairach Coordinate System

  • Koo B.B.;Lee Jong-Min;Kim June Sic;Kim In Young;Kim Sun I.
    • Journal of Biomedical Engineering Research
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    • v.26 no.3
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    • pp.129-132
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    • 2005
  • It is one of the most important issues to determine a target brain image that gives a common coordinate system for a constructing population-based brain atlas. The purpose of this study is to provide a simple and reliable procedure that determines the target brain image among the group based on the inherent structural information of three-dimensional magnetic resonance (MR) images. It uses only 11 lines defined automatically as a feature vector representing structural variations based on the Talairach coordinate system. Average characteristic vector of the group and the difference vectors of each one from the average vector were obtained. Finally, the individual data that had the minimum difference vector was determined as the target. We determined the target brain image by both our algorithm and conventional visual inspection for 20 healthy young volunteers. Eighteen fiducial points were marked independently for each data to evaluate the similarity. Target brain image obtained by our algorithm showed the best result, and the visual inspection determined the second one. We concluded that our method could be used to determine an appropriate target brain image in constructing brain atlases such as disease-specific ones.

Voice Classification Algorithm for Sasang Constitution Using Support Vector Machine (SVM을 이용한 음성 사상체질 분류 알고리즘)

  • Kang, Jae-Hwan;Do, Jun-Hyeong;Kim, Jong-Yeol
    • Journal of Sasang Constitutional Medicine
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    • v.22 no.1
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    • pp.17-25
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    • 2010
  • 1. Objectives: Voice diagnosis has been used to classify individuals into the Sasang constitution in SCM(Sasang Constitution Medicine) and to recognize his/her health condition in TKM(Traditional Korean Medicine). In this paper, we purposed a new speech classification algorithm for Sasang constitution. 2. Methods: This algorithm is based on the SVM(Support Vector Machine) technique, which is a classification method to classify two distinct groups by finding voluntary nonlinear boundary in vector space. It showed high performance in classification with a few numbers of trained data set. We designed for this algorithm using 3 SVM classifiers to classify into 4 groups, which are composed of 3 constitutional groups and additional indecision group. 3. Results: For the optimal performance, we found that 32.2% of the voice data were classified into three constitutional groups and 79.8% out of them were grouped correctly. 4. Conclusions: This new classification method including indecision group appears efficient compared to the standard classification algorithm which classifies only into 3 constitutional groups. We find that more thorough investigation on the voice features is required to improve the classification efficiency into Sasang constitution.

Development, Implementation and Experimentation on a dSPACE DS1104 of a Direct Voltage Control Scheme

  • Hmidet, Ali;Dhifaoui, Rachid;Hasnaoui, Othman
    • Journal of Power Electronics
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    • v.10 no.5
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    • pp.468-476
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    • 2010
  • This paper proposes and develops a new direct voltage control (DVC) approach. This method is designed to be applied in various applications for AC drives fed with a three-phase voltage source inverter (VSI) working with a constant switching time interval as in the standard direct torque control (DTC) scheme. Based on a very strong min(max) criterion dedicated to selecting the inverter voltage vector, the developed DVC scheme allows the generation of accurate voltage forms of waves. The DVC algorithm is implemented on a dSPACE DS1104 controller board and then compared with the space vector pulse width modulation technique (SVPWM) in an open loop AC drive circuit. To demonstrate the efficiency of the developed algorithm in real time and in closed loop AC drive applications, a scalar control scheme for induction motors is successfully implemented and experimentally studied. Practical results prove the excellent performance of the proposed control approach.

The Group Velocity of Lamb Wave Generated by the one Source in Unidirectional Laminated Composite Plates (일방향 적층 복합재료 판에서 한 음원에서 발생된 램파의 군속도)

  • Lee Jeong-Ki;Rhee Sang-Ho
    • The Journal of the Acoustical Society of Korea
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    • v.25 no.3
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    • pp.107-112
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    • 2006
  • The elastic waves in a plate are dispersive waves due to the characteristics of Lamb waves. However, S0 symmetric mode is less dispersive in the frequency region below the first cut-off frequency. The wave Propagation velocities vary with the direction in anisotropic plates such as Carbon Fiber Reinforced Plastic (CFRP) Plates. The wave vector direction and energy flow vector direction are same in isotropic plates. However, the wave vector direction same as the phase velocity direction is not in accordance with the energy flow direction same as the group velocity direction in anisotropic plates. In this study. the dispersion curves or the phase velocity from anti-symmetric and symmetric Lamb wave dispersion equation are calculated for unidirectional laminated composite plate. Slowness surface is sketched using phase velocity under the first cut-off frequency. The direction and magnitude of group velocity are corrected with this slowness surface. The measured group velocities are in good agreement with the corrected group velocity curve except near the fiber direction zone which is called the cusp region.

Comparative Analysis for General and Estrus-related Vocalizations in Sows (모돈의 일반 발성음과 발정기 특이음의 비교분석)

  • Jeon, J.H.;Yeon, S.C.;Chang, H.H.
    • Journal of Animal Science and Technology
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    • v.47 no.1
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    • pp.133-140
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    • 2005
  • The aim of this study was to divide vocalizations of sows into general(GVs) and estrus-related vocalizations( EVs) and to find out their phonetic characteristics. Ten sows(Landrace) were recorded using digital video recorders twice daily(06: 00 - 08 : 00h and 17: 00 - 19 : 00h) during the anestrus and estrus periods. The GVs and EVs were divided based on the shapes of spectrum and spectrogram. The GVs and EVs were identified as 5 and 3 types, respectively. Pitch, formant I, formant 2, and formant 3 between GVs and EVs were not significantly different(P> 0.05), whereas intensity(P < 0.001), duration(P < 0.05), and formant 4(P < 0.01) were significantly different. Three parameter groups(Group I : Formant vector alone, Group II: Formant veetor+ parameters from time signal, Group III: Formant vector+parameters from time signal-parameters eliminated by stepwise discriminant analysis backward) were compared by discriminant function analysis. The classification system adopted in the Group II represented the higher discrimination rate than those in other groups(Group I : 76.1 0/0, Group II : 88.1 0/0, Group Ill: 87.3 %). These results suggest that EVs are present and intensity, formant 2, and formant 4 are available parameters for discrimination of EVs in sows.

Construction of a Bioluminescent Labelling Plasmid Vector for Bifidobacteria

  • Moon, Gi-Seong;Narbad, Arjan
    • Food Science of Animal Resources
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    • v.38 no.4
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    • pp.816-822
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    • 2018
  • Bifidobacterium is recognized as one of the most beneficial microorganisms in our gut. Many researches on bifidobacteria have been done to understand their roles in the gut. The objective of the present study was to develop a bioluminescent labelling plasmid vector for bifidobacteria to facilitate their visualization in vitro, in situ, and in vivo. A plasmid replicon (2.0 kb) of plasmid pFI2576 previously identified from B. longum FI10564 was amplified by PCR and cloned into pUC19 plasmid vector (2.68 kb). The cloned replicon was subcloned into pTG262 ($luc^+$) recombinant plasmid vector (7.4 kb) where a luciferase gene ($luc^+$) from pLuc2 (8.5 kb), an Escherichia coli and lactobacilli shuttle vector, was inserted into pTG262 plasmid vector. The final recombinant DNA, pTG262::pFI2576 rep ($luc^+$), was transferred into a B. catenulatum strain. This recombinant strain showed 3,024 relative luminescence units at $OD_{600}$ value of 0.352. Thus, this recombinant plasmid construct can be broadly used for labelling bifidobacteria.