• Title/Summary/Keyword: Data Characteristic

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A Study on the Usages of DDS Middleware for Efficient Data Transmission and Reception

  • Jeong, Yeongwook
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.11
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    • pp.59-66
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    • 2018
  • Data Distribution Service(DDS) provides the communications service programmers need to distribute time-critical data between embedded and/or enterprise devices or nodes. In this paper, I propose efficient methods for transmitting and receiving messages of various characteristics in real-time using DDS middleware. For high-frequency characteristic data, I describe several DDS packet types and various default and extended DDS QoS policies. In particular, the batching method is probably the best solution when considering several performance aspects. For large-capacity characteristic data. I will show a method using extended DDS QoS policies, a segmentation and reassembly method, and transmitting and receiving a large-capacity data with low priority method considering network conditions. Finally, I simulate and compare the result of performance for each methods. This results will help determine efficient methods for transmitting and receiving messages of various characteristics using DDS middleware.

Classification and Characteristic of Upper Body for the Construction of a College Women's Clothing (여대생의 의복설계를 위한 상반신 체형 분류 및 특성)

  • 심정희;함옥상
    • Journal of the Korean Society of Clothing and Textiles
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    • v.22 no.3
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    • pp.321-332
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    • 1998
  • The purpose of this study is to provide basic data for more functional and more fitting clothing construction. The subjects were college women aged from 18 to 25 in June, 1997. Data were collected by anthropometry and photometry and analyzed by the characteristic of the upper body- The results are as follows: 1. After analyzing direct anthropometric data, 1 have analyzed the data by the characteristic in each somatotype, classified them and I have had 5 groups. Group 1 with middle height and standard type, group 2 with great height and standard type, group 3 with low height and slim type, group 4 with middle height and fat type, and group 5 with low height and a little fat type. 2. After analyzing indirect photometric data, 1 have analyzed them by the characteristic and I have had 4 groups. Group 1 with lean back type, group 2 with sway back type, group 3 with straight type and group 4 with bend forward type. 3. Through the mutual corresponding relation in the 5 groups classified with direct anthropometric measurement and the 4 groups classified with indirect photometric mea- surement, direct-group 1 comes the most corresponding to indirect-group 2, comes second to indirect-group 4, and comes third to indirect-group 1. Direct-group 2 comes the most corresponding to indirect-group 4, direct-group 3 comes the most corresponding to indirect- group 1, direct-group 4 comes the most corresponding to indirect-group 3, and direct-group 5 comes the most corresponding to indirect-group 1.

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Analysis of the Differences in Re-employment Need on the Individual Characteristic of Career Interrupted Woman (경력단절여성의 개인특성에 따른 재취업욕구 차이 분석)

  • Shin, Yean-Ha;Lee, Dong-Myung
    • The Journal of the Korea Contents Association
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    • v.17 no.9
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    • pp.310-323
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    • 2017
  • The purpose of this study is to provide necessary data and information in order to support economic activity of career interrupted woman by analysis the differences between seeking work need on individual characteristic and re-employment need of job-seeking activities. This study includes the result of reviewing a prospective study and an enpinical analysis based on the theoretical background of career interrupted woman, vocational education, individual characteristic and re-employment need to achieve its goal. The collected data from 150 career interrupted women who had a vocational education was analyzed by one-way analysis of variance, T-verification and SPSS 12.0v program. In summary of this study, re-employment need would be different by individual characteristic, seeking work need and job-seeking activities. It shows that the method of re-employment should be provided as considering the individual characteristic of career interrupted woman. Therefore, this study suggests the necessity of suited education and improved system for individual characteristic of career interrupted woman.

INVARIANTS OF ONE-DIMENSIONAL DIFFUSION PROCESSES AND APPLICATIONS

  • Shinzo, Watanabe
    • Journal of the Korean Mathematical Society
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    • v.35 no.3
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    • pp.637-658
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    • 1998
  • One-dimensional diffusion processes are characterized by Feller's data of canonical scales and speed measures and, if we apply the theory of spectral functions of strings developed by M. G. Krein, Feller's data are determined by paris of spectral characteristic functions so that theses pairs may be considered as invariants of diffusions under the homeomorphic change of state spaces. We show by examples how these invariants are useful in the study of one-dimensional diffusion processes.

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Development of Software for Coarse Classifying

  • Jung, Ki-Mun;Kim, Myung-Cheol;Yum, Joon-Keun
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.4
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    • pp.1085-1090
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    • 2006
  • In general, the coarse classifying procedure splits the values of a continuous characteristic into bands and the values of a discrete characteristic into groups of values. Coarse classifying improves the robustness of the credit scoring system but it is complicate and troublesome procedure. Thus, in this paper, we develop a software for coarse classifying by using Visual Basic Language. By using the developed software, we can find the best split easily. Also, this software will help learners to study credit scoring.

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A study on the characteristic comparision of systems which measure the temperature of coal powder in feader lines of boiler (급탄관 온도 측정시스템의 특성 비교분석에 관한 연구)

  • 오면택;이복규;이원빈
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.597-600
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    • 1996
  • This study has compared the two types of systems which measure the temperature of coal powder in feeder lines of boiler and analyzed operating data. We used RTD(Resistance Temperature Detector) and optic sensors to measure the temperature. From the characteristic comparison of data, field test and system operation, we confirm that the latter is more efficient than the former.

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Modified Multi-Level Skip-Lot Sampling Plans

  • Cho, Gyo-Young;Choi, Eun-Jung
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.4
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    • pp.915-927
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    • 2003
  • This paper is the generalization of the modified two-level skip-lot sampling plan(MTSkSP1) to n-level. The general formulas of the operating characteristic(OC) function, average sample number(ASN) and average outgoing quality(AOQ) for the plan are derived using Markov chain properties. The operating characteristic curves, average sample numbers and average outgoing qualities of a reference plan, modified two-level, three-level and five-level skip-lot sampling plans are compared.

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Development of Disturbance Power Supply (외란공급 전원장치 개발)

  • Ji, P.S.;Lee, J.P.;Lim, J.Y.
    • Proceedings of the KIEE Conference
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    • 2002.07a
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    • pp.363-365
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    • 2002
  • The characteristic responds of load respect to various disturbances which can usually be occurred on actual power system is very important to analyze performance and to improve load with high-technology. The disturbance power supply is designed to provide wide range of power to testing load. This device uses PLC technology to dynamic characteristic experiment and CVVF to change frequency. Also this instrument includes data acquisition system to obtain reliable data from experiment.

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The Effects of Team Characteristics on the Innovation Performance in R&D Organizations : The Mediating Effect of Creative Climate (R&D조직의 창의적 팀 특성이 혁신성과에 미치는 영향 : 창의적 풍토의 매개효과)

  • Jang, Eun-Young;Kim, Byung-Keun
    • Journal of the Korean Operations Research and Management Science Society
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    • v.41 no.4
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    • pp.75-93
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    • 2016
  • This study aims at analyzing the relationship between team characteristic and innovation performance. The mediating effect of creative climate on the team characteristic and innovation performance is also measured. Based upon literature review, individual creative characteristics, team diversity, team cohesion, task characteristics are presented as antecedents of team characteristic. Creative climate affects the creative behavior and innovative performance. Creative climate is measured as the Team Climate Inventory (TCI) proposed by Anderson & West (1998) including goal, participative-autonomy and innovative-support. Data were collected from 186 survey responses (54 Teams) out of total 462 (69 teams) from the R&D department of a major ICT firm in Korea. Empirical results show the diversity, cohesion, job characteristic, individual creative characteristic have a positive effect on the creative climate and innovation performance. The participative-autonomy climate factor appears to mediate the relationship between team characteristic (diversity, cohesion, job and individual characteristics) and innovation performance. However, the mediating effects of goals and innovative-support factors were not significant statistically. It was confirmed that the organization can contribute to improve the team innovation performance by facilitating a autonomy and participative climate as well as fostering the team characteristic.

Analysis of the Characteristic of Railroad(level-crossing) Accident Frequency (철도 건널목 사고의 발생빈도 특성분석 연구)

  • Park, Jun-Tae;Kang, Pal-Moon;Park, Sung-Ho
    • Journal of the Korean Society of Safety
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    • v.29 no.2
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    • pp.76-81
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    • 2014
  • Railroad traffic accident consists of train accident, level-crossing accident, traffic death and injury accident caused by train or vehicle, and it is showing a continuous downward trend over a long period of time. As a result of the frequency comparison of train accidents and level-crossing accidents using the railway accident statistics data of Railway Industry Information Center, the share of train accident is over 90% in the 1990s and 80% in the 2000s more than the one of level-crossing accidents. In this study, we investigated time series characteristic and short-term prediction of railroad crossing, as well as seasonal characteristic. The analysis data has been accumulated over the past 20 years by using the frequency data of level-crossing accident, and was used as a frequency data per month and year. As a result of the analysis, the frequency of accident has the characteristics of the seasonal occurrence, and it doesn't show the significant decreasing trend in a short-term.