• Title/Summary/Keyword: Information variable

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Analysis of Indonesian User Behavior Distribution on Facebook Marketplace

  • HAMZAH, Muhammad Luthfi;UTAMA, M Hamdala;PURWATI, Astri Ayu
    • Journal of Distribution Science
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    • v.20 no.8
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    • pp.47-57
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    • 2022
  • Purpose: The purpose of this study is to find out whether it has a significant effect or not, the 5 hypotheses proposed include the Attitude toward behavior variable on behavioral intention, Subjective norm on behavioral intention, Perceived behavioral control on behavioral intention, Behavioral intention on behavior and Perceived behavioral control on Behavior. Research design, data and methodology: The data processing method in this study uses the SEM method based on Partial Least Squares (PLS), The study was conducted on 100 respondents as a sample. Results: Based on the results of data analysis, it is concluded that from the 5 hypotheses proposed, only 2 have a significant effect, namely the subjective norm variable has a significant effect, on behavioral intention and the perceived behavioral control variable has a significant effect on behavior while the other 3 hypotheses have no significant effect. The results of this study are expected to help the public to make decisions in utilizing the distribution of facebook marketplace. Conclusion: This study concludes that the distribution of the use of the Facebook marketplace is a subjective norm variable has a positive effect on the behavioral intention variable and the perceived behavioral control variable has a positive effect on the behavior variable.

Optimum Screening Procedures Using Prior Information

  • Kim, Sang-Boo
    • Journal of Korean Society for Quality Management
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    • v.22 no.1
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    • pp.142-151
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    • 1994
  • Optimum screening procedures using prior information are presented. An optimal cutoff value on the screening variable X minimizing the expected total cost is obtained for the normal model; it is assumed that a continuous screening variable X given a dichotomous performance variable T is normally distributed and that costs are incurred by screening inspection and misclassification errors. Methods for finding optimal cutoff values based on the prior distributions for unknown parameters are presented.

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A Design of a 8-Thread Graphics Processor Unit with Variable-Length Instructions

  • Lee, Kwang-Yeob;Kwak, Jae-Chang
    • Journal of information and communication convergence engineering
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    • v.6 no.3
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    • pp.285-288
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    • 2008
  • Most of multimedia processors for 2D/3D graphics acceleration use a lot of integer/floating point arithmetic units. We present a new architecture with an efficient ALU, built in a smaller chip size. It reduces instruction cycles significantly based on a foundation of multi-thread operation, variable length instruction words, dual phase operation, and phase instruction's coordination. We can decrease the number of instruction cycles up to 50%, and can achieve twice better performance.

Properties of variable sampling interval control charts

  • Chang, Duk-Joon;Heo, Sun-Yeong
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.4
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    • pp.819-829
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    • 2010
  • Properties of multivariate variable sampling interval (VSI) Shewhart and CUSUM charts for monitoring mean vector of related quality variables are investigated. To evaluate average time to signal (ATS) and average number of switches (ANSW) of the proposed charts, Markov chain approaches and simulations are applied. Performances of the proposed charts are also investigated both when the process is in-control and when it is out-of-control.

[ $\bar{X}$ ] Control Charts with Variable Sample Sizes and Variable Sampling Intervals

  • Lee, Jae-Heon
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.3
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    • pp.429-440
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    • 2003
  • Variable sampling rate (VSR) control charts vary the sampling interval and/or the sample size according to value of the control statistic. It is known that $\bar{X}$ charts with VSR scheme lead to large improvements in performance over those with fixed sampling rate (FSR) scheme. In this paper, we studied $\bar{X}$ charts with several VSR schemes, and compared their statistical performance each other.

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A Wireless Intraocular Pressure Sensor with Variable Inductance Using a Ferrite Material

  • Kang, Byungjoo;Hwang, Hoyong;Lee, Soo Hyun;Kang, Ji Yoon;Park, Joung-Hu;Seo, Chulhun;Park, Changkun
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.13 no.4
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    • pp.355-360
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    • 2013
  • A wireless intraocular (IOP) pressure sensor based on micro electro mechanical system (MEMS) technology is proposed. The proposed IOP sensor uses variable inductance according to the external pressure. The proposed sensor is composed of two flexible membranes: a ferrite bottom part, an inductor, and a capacitor. The inductance of the sensor varies according to the external pressure. The resonance frequency of the sensor is also varied, and this frequency is detected using an external coil. The external coil is designed with an FR-4 printed circuit board. The feasibility of the proposed sensor structure using variable inductance to detect the external pressure is successfully demonstrated.

Quality Variable Prediction for Dynamic Process Based on Adaptive Principal Component Regression with Selective Integration of Multiple Local Models

  • Tian, Ying;Zhu, Yuting
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.4
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    • pp.1193-1215
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    • 2021
  • The measurement of the key product quality index plays an important role in improving the production efficiency and ensuring the safety of the enterprise. Since the actual working conditions and parameters will inevitably change to some extent with time, such as drift of working point, wear of equipment and temperature change, etc., these will lead to the degradation of the quality variable prediction model. To deal with this problem, the selective integrated moving windows based principal component regression (SIMV-PCR) is proposed in this study. In the algorithm of traditional moving window, only the latest local process information is used, and the global process information will not be enough. In order to make full use of the process information contained in the past windows, a set of local models with differences are selected through hypothesis testing theory. The significance levels of both T - test and χ2 - test are used to judge whether there is identity between two local models. Then the models are integrated by Bayesian quality estimation to improve the accuracy of quality variable prediction. The effectiveness of the proposed adaptive soft measurement method is verified by a numerical example and a practical industrial process.

High-Performance Variable-Length Reed-Solomon Decoder Architecture for Gigabit WPAN Applications (기가비트 WPAN용 고성능 가변길이 리드-솔로몬 복호기 구조)

  • Choi, Chang-Seok;Lee, Han-Ho
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.49 no.1
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    • pp.25-34
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    • 2012
  • This paper presents a universal architecture for variable-length eight-parallel Reed-Solomon (RS) decoder for high-rate WPAN systems. The proposed architecture can support not only RS(255,239) code but various shortened RS codes. Moreover, variable-length architecture provides variable low latency for various shortened RS codes and the eight-parallel design also provides high data processing rate. Using 90-$nm$ CMOS standard cell technology, the proposed RS decoder has been synthesized and measured for performance. The proposed RS decoder can provide a maximum 19-$Gbps$ data rate at clock frequency 300 $MHz$.

Design of Rectifying Screening Procedures Using a Surrogate Variable (대용특성을 이용한 선별형 스크리닝 절차의 설계)

  • Hong, Sung-Hoon
    • Journal of Korean Institute of Industrial Engineers
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    • v.32 no.1
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    • pp.51-60
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    • 2006
  • When the nature of measuring a performance variable is destructive or very expensive, it is attractive to use a surrogate variable which is highly correlated with the performance variable and less expensive to measure. In this paper, we propose rectifying screening procedures using the performance and surrogate variables. Two screening procedures are considered; a statistically-based screening procedure to reduce the current proportion of nonconforming items to a specified lower value after screening, and an economically-based screening procedure where the screening limit is determined so that the expected cost is minimized. It is assumed that the surrogate variable given the performance variable is normally distributed with known mean and standard deviation. For two screening procedures, methods of finding the optimal solutions are presented and numerical examples are also given.

Implementation of Customized Variable Insurance Management System Using Data Crawling and Fund Management Algorithm

  • Nam, Sung-hyun;Kwon, Soon-kak
    • Journal of Multimedia Information System
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    • v.8 no.1
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    • pp.69-74
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    • 2021
  • This paper accumulates the product structure data such as bond obligation ratio and investment ratio for variable insurance using crawling from the insurance company's API, also accumulates variable insurance income and project expenses for variable insurance using crawling from the API of life insurance association. From these accumulated data, the correlation coefficient between fund product and customer preference is calculated with an investment algorithm, and variable insurance funds by customer investment preference and product structure are recommended according to market conditions. From the simulation results, it is shown that the proposed variable insurance management system properly recommends and manages variable insurance according to customer preferences.