• Title/Summary/Keyword: Data Length

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Efficient CAN Data Compression Algorithm Using Signal Length (신호의 길이 특성을 이용한 효율적인 CAN 데이터 압축 알고리즘)

  • Wu, Yujing;Chung, Jin-Gyun
    • Smart Media Journal
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    • v.3 no.3
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    • pp.9-14
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    • 2014
  • The increasing number of ECUs in automobiles causes the CAN bus overloaded and consequently the error probability of data transmission increases. Since the time duration for the data transmission is proportional to CAN frame length, it is desirable to reduce the frame length. In this paper, we present a CAN message compression method using Data Length Code (DLC) and bit rearrangement. By simulations using actual CAN data, it is shown that the CAN transmission data is reduced up to 54 % by the proposed method, compared with conventional methods.

A Study on the Statistical characteristics of Hagul Graphic Image Date (한글 Graphic Image Date의 통계적 특성에 관한 연구)

  • 김재석;김재균
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.17 no.2
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    • pp.15-22
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    • 1980
  • For efficient coding of graphic image data, the statistical characteristics for both Korean lettered images and English lettered images are measurpd and co mpared. Also, the measured run length distribution is compared with the run length distribution hased on Markov model. It is shown that the measured white run length distribution is more Bike a negative - power distribution than an exponential distribution . This fact is stronger in the Korean lettered images than is the English lettered images, The performances of four typical run length codes are compared for the same set of graphic data files,, and it is shown that the codes perform better in the Korean ]entered images :hart In Eng]isle lettered images.

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Optimal Tool Length Computation of NC Data for 5-axis Ball-ended Milling (5축 볼엔드밀 가공 NC 데이터의 최적 공구 길이 계산)

  • Cho, Hyeon-Uk;Park, Jung-Whan
    • Korean Journal of Computational Design and Engineering
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    • v.15 no.5
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    • pp.354-361
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    • 2010
  • The paper presents an efficient computation of optimal tool length for 5-axis mold & die machining. The implemented procedure processes an NC file as an initial input, where the NC data is generated by another commercial CAM system. A commercial CAM system generates 5-axis machining NC data which, in its own way, is optimal based on pre-defined machining condition such as tool-path pattern, tool-axis control via inclination angles, etc. The proper tool-length should also be provided. The tool-length should be as small as possible in order to enhance machinability as well as surface finish. A feasible tool-length at each NC block can be obtained by checking interference between workpiece and tool components, usually when the tool-axis is not modified at this stage for most CAM systems. Then the minimum feasible tool-length for an NC file consisting of N blocks is the maximum of N tool-length values. However, it can be noted that slight modification of tool-axis at each block may reduce the minimum feasible tool-length in mold & die machining. This approach can effectively be applied in machining feature regions such as steep wall or deep cavity. It has been implemented and is used at a molding die manufacturing company in Korea.

Deciding a sampling length for estimating the parameters in Geometric Brownian Motion

  • Song, Jun-Mo
    • Journal of the Korean Data and Information Science Society
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    • v.22 no.3
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    • pp.549-553
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    • 2011
  • In this paper, we deal with the problem of deciding the length of data for estimating the parameters in geometric Brownian motion. As an approach to this problem, we consider the change point test and introduce simple test statistic based on the cumulative sum of squares test (cusum test). A real data analysis is performed for illustration.

Prediction of Length of ICU Stay Using Data-mining Techniques: an Example of Old Critically Ill Postoperative Gastric Cancer Patients

  • Zhang, Xiao-Chun;Zhang, Zhi-Dan;Huang, De-Sheng
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.1
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    • pp.97-101
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    • 2012
  • Objective: With the background of aging population in China and advances in clinical medicine, the amount of operations on old patients increases correspondingly, which imposes increasing challenges to critical care medicine and geriatrics. The study was designed to describe information on the length of ICU stay from a single institution experience of old critically ill gastric cancer patients after surgery and the framework of incorporating data-mining techniques into the prediction. Methods: A retrospective design was adopted to collect the consecutive data about patients aged 60 or over with a gastric cancer diagnosis after surgery in an adult intensive care unit in a medical university hospital in Shenyang, China, from January 2010 to March 2011. Characteristics of patients and the length their ICU stay were gathered for analysis by univariate and multivariate Cox regression to examine the relationship with potential candidate factors. A regression tree was constructed to predict the length of ICU stay and explore the important indicators. Results: Multivariate Cox analysis found that shock and nutrition support need were statistically significant risk factors for prolonged length of ICU stay. Altogether, eight variables entered the regression model, including age, APACHE II score, SOFA score, shock, respiratory system dysfunction, circulation system dysfunction, diabetes and nutrition support need. The regression tree indicated comorbidity of two or more kinds of shock as the most important factor for prolonged length of ICU stay in the studied sample. Conclusions: Comorbidity of two or more kinds of shock is the most important factor of length of ICU stay in the studied sample. Since there are differences of ICU patient characteristics between wards and hospitals, consideration of the data-mining technique should be given by the intensivists as a length of ICU stay prediction tool.

Simulation of Run-Length and Run-Sum of Daily Rainfall and Streamflow (일수문량의 RUN-LENGTH 및 RUN-SUM의 SIMULATION)

  • 이순택;지홍기
    • Water for future
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    • v.10 no.1
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    • pp.79-94
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    • 1977
  • This study is aimed at the establishment and examination of stochastic model to simulate Run-length and Run-sum of daily rainfall and streamflow. In the analysis, daily rainfall records in major cities (Seoul, Kangnung, Taegu, Kwangju, Busan, and Cheju) and daily streamflow records of Major rivers (Han, Nakdong and Geum River) were used. Also, the fitness of daily rainfall and streamflow to Weibull and one parameter exponential distribution was tested by Chi-square and Kolmogorov-Smirnov test, from which it was found that daily rainfall and streamflow generally fit well to exponential type distribution function. The Run-length and Run-sum were simulated by the Weibull Model (WBL Model), one parameter exponential model (EXP-1 Model) based on the Nonte Carlo technique. In this result, Run-length of rainfall was fitted for one parameter exponential model and Run-length of streamflow was fitted for Weibull model. And Run-sum of rainfall and streamflow were fit comparatively for regression model. Hereby, statistical charactristics of Simulation data were sinilar to historical data.

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Preservation of some partial orderings of life distributions under length biased distributions (기간편의분포하(其間偏倚分布下)에서 수명분포(壽命分布)의 편순서(偏順序) 보존(保存))

  • Choi, Jeen-Kap;Kim, Sang-Lyong
    • Journal of the Korean Data and Information Science Society
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    • v.4
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    • pp.45-51
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    • 1993
  • For studies in reliability, biometry and survival analysis, the length biased distribution is frequently appropriate for certain natural sampling plans. So, we shall convey the preservation of some partial orderings under life length biasd distributions and closures of ILR and NBU classes under life length biasd distributions.

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Variable length Chromosomes in Genetic Algorithms for Modeling the Class Boundaries

  • Bandyopadhyay, Sanghamitra;Pal, Sankar K.;Murthy, C.A.
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.06a
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    • pp.634-639
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    • 1998
  • A methodology based on the concept of variable string length GA(VGA) is developed for determining automatically the number of hyperplanes and their appropriate arrangement for modeling the class boundaries of a given training data set in RN. The genetic operators and fitness functionare newly defined to take care of the variability in chromosome length. Experimental results on different artificial and real life data sets are provided.

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A Study on the Pattern-making for Korean Glove - Focusing on Pattern-making for Glove - (한국인을 위한 장갑 패턴 고찰 (2) - 장갑 원형 설계를 중심으로 -)

  • Ryu, Kyoung-Ok
    • The Research Journal of the Costume Culture
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    • v.17 no.6
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    • pp.981-991
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    • 2009
  • The purpose of this study was to develop the pattern-making for Korean glove. To develop the pattern-making for glove this study comprehensive list of candidate hand data was reviewed and the manufacturers(career over th 15 years) were interviewed on the method of glove. The results of regression analysis(hand data) were as follows (unit: cm): wrist thumb tip length = middle finger length + 3.22, hand bread = 1.25 $\times$ middle finger length + 2.18, middle finger breadth at dist = 0.23 $\times$ index finger circumference + 0.4, maximum hand circumference = 3.15 $\times$ index finger circumference + 4.13, middle finger circumference = 0.91 $\times$ index finger circumference + 0.47, maximum hand thickness = 0.69 $\times$ index finger circumference -0.02. Hand measurements for glove pattern-making were developed: There were palmar hand length, hand circumference, index finger circumference and middle finger length.

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How Should We Randomly Sample Marine Fish Landed at Korea Ports to Represent a Length Frequency Distribution of Those Fish? (한국 연근해 어업에서 수집되는 어류 개체군 체장자료의 표집(sampling) 방법 제안)

  • Park, Min Gyou;Hyun, Saang-Yoon
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.54 no.1
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    • pp.80-89
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    • 2021
  • In Korea, marine fish landed at ports are randomly sampled on a periodic basis (e.g., daily or weekly), and body sizes (e.g., lengths and weights) of those sampled fish are measured. The motivation for our study is whether or not such measurements reflect the size distribution, especially the length distribution of fish landed (= a population), because such length measurements are key data for a length-based assessment model. The current sampling method is to sample fish landed at ports by body size group (e.g., very small, small, medium, large, very large), using the sampling weights as the number of boxes by body size group. In this study, we showed that length composition data about fish sampled by the current method did not represent the length frequency distribution of the fish landed, and suggested that an alternative sampling method should be applied of using the sampling weights as the number of fish landed by body size group. We also introduced a method for determining an appropriate sample size.