• Title/Summary/Keyword: cluster value

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nif-Gene Organization and Nucleotide Sequence of nifV, nifH, D, K and nifE from Frankia Strain FaCl

  • An, Chung-Sun
    • Proceedings of the Zoological Society Korea Conference
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    • 1995.10b
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    • pp.120-120
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    • 1995
  • The total size of the pF AR1, a genomic clone of Frankia FaCI, was estimated to be about 44Kb by summation of the individual fragment length generated by single or double restriction enzymes. Southern hybridization analyses with Azotobacter vinelandii nif-genes as probes and partial sequencing analyses of the subclones revealed that organization of the nif-gene in the FaCI strain was nifV, H, D, K, E, N, X, W, B. The organization of the structural genes for nitrogenase is the same in this Frankia strain as it is in most other nitrogen-fixing prokaryotes but the positioning of the nifV-like gene relative to the nifHDK cluster differs. A consensus nif-promoter-like sequence, found at 5' of nifH, was not detected upstream of the niJV-like gene. nifV-like gene contained a ORF of 1206 NT encoding 401 amino acids. The nucleotide sequence and deduced amino acid sequence of the gene exhibit homology value of 65% and 41% with that from A vinelandii, respectively. The putative Shine-Dargamo sequences were present preceding nitK, nifH, D, K, and nifE, and in nitK gene putative start codon GTG was detected instead of A TG. The nucleotide and amino acid sequence of niIK of FaCI showed 82% and 76% homolgy with those of Frankia HFPCc 13, respectively. Amino acid sequence of niIK showed 69% and 61% homology with those of A vinelandii, Klebsiella pnewnoniae, respectively, while that of nifE 73% and 71%, respecti vely.i vely.

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The Effect of Membership Concentration in FVQ/HMM for Speaker-Independent Speech Recognition

  • Lee, Chang-Young;Nam, Ho-Soo;Jung, Hyun-Seok;Lee, Chai-Bong
    • Speech Sciences
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    • v.12 no.4
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    • pp.7-16
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    • 2005
  • We investigate the effect of membership concentration on the performance of the speaker-independent recognition system by FVQ/HMM. For the membership function, we adopt the result obtained from the objective function approach by Bezdek. Membership concentration is done by varying the exponent in the membership function. The number of selected clusters is constrained to two for the sake of cheap computational cost. Experimental results showed that the recognition rate has its maximum value when the membership function was taken to be inversely proportional to the distance of the input vector from the cluster centroid. When the membership concentration was two weak or too strong, the performance was found to be relatively poor as expected. Except these extreme cases, the membership concentration was not shown to affect the recognition rate significantly. This is in accordance with the general observation that the fuzzy system is not much sensitive. to the detailed shape of the membership function as long as it is overlapped over multiple classes.

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Coronary Artery Stenosis Quantification for Computed Tomography Angiography Based on Modified Student's t-Mixture Model

  • Sun, Qiaoyu;Yang, Guanyu;Shu, Huazhong;Shi, Daming
    • ETRI Journal
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    • v.39 no.5
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    • pp.662-671
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    • 2017
  • Coronary artery disease (CAD) is a major cause of death in the world. As a non-invasive imaging modality, computed tomography angiography (CTA) is now usually used in clinical practice for CAD diagnosis. Precise quantification of coronary stenosis is of great interest for diagnosis and treatment planning. In this paper, a novel cluster method based on a Modified Student's t-Mixture Model is applied to separate the region of vessel lumen from other tissues. Then, the area of the vessel lumen in each slice is computed and the estimated value of it is fitted with a curve. Finally, the location and the level of the most stenoses are captured by comparing the calculated and fitted areas of the vessel. The proposed method has been applied to 17 clinical CTA datasets and the results have been compared with reference standard degrees of stenosis defined by an expert. The results of the experiment indicate that the proposed method can accurately quantify the stenosis of the coronary artery in CTA.

A Study on High School Students' Body Satisfaction, Attitude toward Appearance and Clothing (고등학생의 신체만족도, 외모와 의복에 대한 태도에 관한 연구)

  • Lee, Eun-Hee
    • Korean Journal of Human Ecology
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    • v.10 no.1
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    • pp.49-58
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    • 2007
  • The purpose of this study was to investigate to relation between body satisfaction, attitude toward appearance and clothing of high school students. Method of posing a questionnaire is adopted to obtain stochastic data required for pertinent analysis. This is the investigation of which 356(male 169, female 187) high school students located in Choongnam and Junrabookdo province. In this statistical analysis, SPSS 11.5 for Windows Program was utilized to calculate percentage, mean and standard deviation, Factor analysis, Cluster analysis, t-test, One-way Anova, Duncan' multiple range, Pearson's correlation coefficient. The results of this research were as follows: The results of analysing the factors to the response body satisfaction, attitude toward appearance emerged three dimensions(Waist & hip, face, stature & figure part), three dimensions(needs value conformity toward appearance). Sex have significant effects on the body satisfaction, attitude toward appearance and clothing of high school students. Body satisfaction of high school students had an effects on attitude toward appearance and clothing attitude i. e. sexual attractiveness, fashion pursuit, modesty. Body satisfaction had negative correlations with attitude toward appearance and modesty of clothing. However, body satisfaction had positive correlations with sexual attractiveness and self-expression of clothing. As a conclusion, high school students' body satisfaction and attitude toward appearance constituted important characteristics which could affect clothing attitude directly.

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To Use Facebook for Good: Usage, Cyberbullying Involvement, and Perceived Social Support

  • Wong, Natalie;McBride, Catherine
    • Child Studies in Asia-Pacific Contexts
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    • v.6 no.2
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    • pp.59-72
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    • 2016
  • We examined the relationship between the extent of Facebook usage and social well-being with consideration of cyberbullying involvement using a person-oriented approach. Survey data were collected from a sample of 312 secondary students from Grades 7 and 8 in Hong Kong. Levels of cyberbullying involvement, Facebook usage and perceived social support were investigated. Participants were classified into three clusters based on the different levels of Facebook usage and cyberbullying victimization through cluster analyses (i.e., frequent Facebook user/noncyberbullied victim, frequent Facebook user/cyberbullied victim, and uninvolved). Our results showed that frequent Facebook users who are cyberbullied tend to engage in cyberbullying perpetration significantly more than the frequent Facebook users who are not cyberbullied, even when the latter reported higher Facebook usage. This result provides some support for the idea that cyberbullying victimization has additional value on top of the level of usage in explaining one's participation in cyberbullying perpetration. As expected, frequent Facebook users who were not cyberbullied reported the highest perceived social support among the three groups. What is even more interesting is the equal level of perceived social support found between the cyberbullied victims and the uninvolved. Our results suggest that, although limiting adolescents' Internet use might reduce their risks of being involved in cyberbullying, it might also take away the potential benefits they could get from interacting with the online community. Benefits of using the person-oriented approach in the study of cyberbullying are discussed.

PROBING GALAXY FORMATION MODELS IN COSMOLOGICAL SIMULATIONS WITH OBSERVATIONS OF GALAXY GROUPS

  • HABIB. G., KHOSROSHAHI;GOZALIASL, GHASSEM;FINOGUENOV, ALEXIS;RAOUF, MOJTABA;MIRAGHEE, HALIME
    • Publications of The Korean Astronomical Society
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    • v.30 no.2
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    • pp.349-353
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    • 2015
  • We use multi-wavelength observations of galaxy groups to probe the formation models for galaxy formation in cosmological simulations, statistically. The observations include Chandra and XMM-Newton X-ray observations, optical photometry and radio observations at 1.4 GHz and 610 MHz. Using a large sample of galaxy groups observed by the XMM-Newton X-ray telescope as part of the XMM-Large Scale Survey, we carried out a statistical study of the redshift evolution of the luminosity gap for a well defined mass-selected group sample and show the relative success of some of the semi-analytic models in reproducing the observed properties of galaxy groups up to redshift z ~ 1.2. The observed trend argues in favour of a stronger evolution of the feedback from active galactic nuclei at z < 1 compared to the models. The slope of the relation between the magnitude of the brightest cluster galaxy and the value of the luminosity gap does not evolve with redshift and is well reproduced by the models. We find that the radio power of giant elliptic galaxies residing in galaxy groups with a large luminosity gap are lower compared to giant ellipticals of the same stellar masses but in typical galaxy groups.

A Study on Flooding Attack Detection and Response Technique in MANET (MANET에서 플러딩 공격 탐지 및 대응 기법에 관한 연구)

  • Yang, Hwan Seok;Yoo, Seung Jae
    • Convergence Security Journal
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    • v.13 no.4
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    • pp.41-46
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    • 2013
  • Routing protocol using in the existing wire network cannot be used as it is for efficient data transmission in MANET. Because it consists of only mobile nodes, network topology is changing dynamically. Therefore, each mobile node must perform router functions. Variety of routing attack like DoS in MANET is present owing to these characteristic. In this paper, we proposed cooperative-based detection method to improve detection performance of flooding attack which paralyzes network by consuming resource. Accurate attack detection is done as per calculated adaptively threshold value considered the amount of all network traffic and the number of nodes. All the mobile nodes used a table called NHT to perform collaborative detection and apply cluster structure to the center surveillance of traffic.

Photocatalytic Oxidation for Organic Dye using Phenol Resin-based Carbon-titania Composites

  • Oh, Won-Chun;Na, Yu-Ri
    • Journal of the Korean Ceramic Society
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    • v.45 no.1
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    • pp.36-42
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    • 2008
  • Carbon/$TiO_2$ composite photocatalysts were thermally synthesized with different mixing ratios of anatase to phenol resin through an ethanol solvent dissolving method. The XRD patterns revealed that only anatase phase can be identified for Carbon/$TiO_2$ composites. The diffraction peaks of carbon were not observed, however, due to the low carbon content on the $TiO_2$ surfaces and the low crystallinity of amorphous carbon. The results of chemical elemental analyses of the Carbon/$TiO_2$ composites showed that most of the spectra for these samples gave stronger peaks for carbon and Ti metal than that of any other elements. The BET surface area increases to the maximum value of $488\;m^2/g$ with the area depending on the amount of phenol resin. From the SEM images, small $TiO_2$ particles were homogeneously distributed to a composite cluster with the porosity of phenol resin-based carbon. From the photocatalytic results, the MB degradation should be attributed to the three kinds of synergetic effects, such as photocatalysis, adsorptivity, and electron transfer by light absorption between supporter $TiO_2$ and carbon.

Investigation of Chemical Sensor Array Optimization Methods for DADSS

  • Choi, Jang-Sik;Jeon, Jin-Young;Byun, Hyung-Gi
    • Journal of Sensor Science and Technology
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    • v.25 no.1
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    • pp.13-19
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    • 2016
  • Nowadays, most major automobile manufacturers are very interested, and actively involved, in developing driver alcohol detection system for safety (DADSS) that serves to prevent driving under the influence. DADSS measures the blood alcohol concentration (BAC) from the driver's breath and limits the ignition of the engine of the vehicle if the BAC exceeds the reference value. In this study, to optimize the sensor array of the DADSS, we selected sensors by using three different methods, configured the sensor arrays, and then compared their performance. The Wilks' lambda, stepwise elimination and filter method (using a principal component) were used as the sensor selection methods [2,3]. We compared the performance of the arrays, by using the selectivity and sensitivity as criteria, and Sammon mapping for the analysis of the cluster type of each gas. The sensor array configured by using the stepwise elimination method exhibited the highest sensitivity and selectivity and yielded the best visual result after Sammon mapping.

Typology of Fashion Product Consumers: Application of Mixture-model Segmentation Analysis

  • Kim, Yeon-Hee;Lee, Kyu-Hye
    • Journal of the Korean Society of Clothing and Textiles
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    • v.35 no.12
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    • pp.1440-1453
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    • 2011
  • Proper consumer segmentation is receiving more attention from industry professionals as markets become more diverse and consumer-centered. Researchers have recognized the limitations of the traditional cluster analysis technique and this research study analyzes market segmentation using Mixture-model or latent-class segmentation. This study used a questionnaire to determine the characteristics of clothing shoppers using a new technique that proved its superiority over traditional techniques. Questions included items measuring fashion shopping behavior, store choice criteria, apparel consumption styles, price perception by product type, and demographic characteristics. Data were collected from 1074 males and females in their 20s and 30s through an online survey. SPSS 16.0 and Latent GOLD 4.0 were used to analyze the data. The ideal typology of clothing shoppers using the Mixture-model were: 'brand loyalty orientated group', 'group of conservative late 30s', 'group of pleasure-emotion early 20s', 'value oriented consumer product with high-income group', 'group of eco/symbol oriented consumer', and 'group of utility/goal oriented male consumer'. This study showed differences in fashion product purchasing behavior by conducting market segmentation for clothing shoppers using the Mixture-model.