• Journal of Information Processing Systems
• /
• v.2 no.2
• /
• pp.130-134
• /
• 2006

In the distributed replicating server model, the provision of replicated services will improve the performance of the providing service and efficiency for clients. Efficiently composing the server selection algorithm decreases the retrieval time for replicated data. In this paper, we define the system model that selects and connects the replicated server that provides an optimal service using the server-side downstream measurement and propose a server selection algorithm.

• Journal of Distribution Science
• /
• v.14 no.2
• /
• pp.23-32
• /
• 2016

Purpose - The purposes of this research are to develop a measurement of Islamic religiosity and apply these measurements to examine the relationship between religiosity and selection of the Islamic bank. Research design, data, and methodology - Literature searches and in-depth interviews are used to obtain the statement items to build measurement. Furthermore, the result of religiosity measurement will be used to study the relationship between religiosity and the selection of the Islamic bank. Population of the study is Muslim who has bank(s) account. A total 375 questionnaires were distributed to the three groups of bank customers (125 respondents in each group). Result -This research has successfully developed a measurement of religiosity, which is called Islamic Religiosity Scale (IRS). Based on IRS, this study found that religiosity has a significant relationship to the selection of Islamic banks. Conclusions - The study indicates that religiosity plays a significant role on the decision of customers to choose Islamic banks. Nevertheless, this study also revealed that religiosity is not the only factor that influences customers to selecting the Islamic banks.

• Communications for Statistical Applications and Methods
• /
• v.26 no.1
• /
• pp.47-55
• /
• 2019

It is important to identify informative variables in high dimensional data analysis; however, it becomes a challenging task when covariates are contaminated by measurement error due to the bias induced by measurement error. In this article, we present a two-step approach for variable selection in the presence of measurement error. In the first step, we directly select important variables from the contaminated covariates as if there is no measurement error. We then apply, in the following step, orthogonal regression to obtain the unbiased estimates of regression coefficients identified in the previous step. In addition, we propose a modification of the two-step approach to further enhance the variable selection performance. Various simulation studies demonstrate the promising performance of the proposed method.

• Computers and Concrete
• /
• v.15 no.5
• /
• pp.771-794
• /
• 2015

This paper proposes an innovative method for selection of measurement sets in static parameter identification of concrete or steel bridges. This method is proved as a systematic tool to address the first steps of Structural System Identification procedures by observability techniques: the selection of adequate measurement sets. The observability trees show graphically how the unknown estimates are successively calculated throughout the recursive process of the observability analysis. The observability trees can be proved as an intuitive and powerful tool for measurement selection in beam bridges that can also be applied in complex structures, such as cable-stayed bridges. Nevertheless, in these structures, the strong link among structural parameters advises to assume a set of simplifications to increase the tree intuitiveness. In addition, a set of guidelines are provided to facilitate the representation of the observability trees in this kind of structures. These guidelines are applied in bridges of growing complexity to explain how the characteristics of the geometry of the structure (e.g. deck inclination, type of pylon-deck connection, or the existence of stay cables) affect the observability trees. The importance of the observability trees is justified by a statistical analysis of measurement sets randomly selected. This study shows that, in the analyzed structure, the probability of selecting an adequate measurement set with a minimum number of measurements at random is practically negligible. Furthermore, even bigger measurement sets might not provide adequate SSI of the unknown parameters. Finally, to show the potential of the observability trees, a large-scale concrete cable-stayed bridge is also analyzed. The comparison with the number of measurements required in the literature shows again the advantages of using the proposed method.

• Journal of the Optical Society of Korea
• /
• v.16 no.3
• /
• pp.277-281
• /
• 2012

We measured small optical beam deflection in an image rotating Sagnac interferometer. We used a weak value measurement scheme that involves a pre-selection, weak perturbation, and a post-selection procedure to obtain the amplified value of beam deflection. The amplification factor of the measured beam deflection varied from 11 to 63 depending on the settings of the post-selection polarizer in front of the photodetector and the settings of polarization compensator in the interferometer.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2011.04a
• /
• pp.821-826
• /
• 2011

A basic concept for selection criteria of measuring places of RVI CVAP is to determine measuring places and sensors based on the results of the hydraulic and structural analysis for RVI CVAP in APR1400. In addition, there is the important selection criteria to determine measuring places for measurement of RVI CVAP ; the first is to choose measuring places according to U.S. NRC R.G. 1.20, the second is to select measuring places by RVI design review, the third is to option on the basis of measurement results of SYSTEM 80, the forth is to decide using review results on a design change of a reactor and the last is to determine using the review on the possibility of installation/removal of sensors and structures for the measurement. We developed selection criteria of measuring places for RVI CVAP in APR1400 and this will be directly applied to the measurement program for RVI CVAP.

• East Asian Journal of Business Economics (EAJBE)
• /
• v.3 no.3
• /
• pp.1-13
• /
• 2015

The purposes of this research are to develop a measurement of Islamic religiosity and applying these measurements to examine the relationship between religiosity and selection of the Islamic bank. Literature searches and in -depth interviews are used to obtain the statement item to build measurement. Furthermore, result of the religiosity measurement will be used to study the relationship between religiosity and the selection of the Islamic bank. Population of the study is Muslim who has bank(s) account. A total 375 questionnaires were distributed to the three groups of bank customers (125 respondents in each group). This res earch has successfully developed a measurement of religiosity, which is called Islamic Religiosity Scale (IRS). On the one hand, the study indicate that religiosity plays a significant role on the decision of customers to choose Islamic banks, because the degree of religiosity of Islamic bank customers is higher than conventional bank customers. Nevertheless, on other hand, this study also revealed that religiosity is not the only factor that influences customers to selecting the Islamic banks, because the degree of religiosity of Islamic bank customers do not differ significantly with customers who hold accounts in both bank.

• Transactions of the Korean Society for Noise and Vibration Engineering
• /
• v.21 no.8
• /
• pp.708-713
• /
• 2011

U.S. nuclear regulatory commission(NRC) regulatory guide(RG) 1.20 requires a comprehensive vibration assessment program(CVAP) for use in verifying the structural integrity of reactor vessel internals(RVI) for flow-induced vibrations prior to commercial operation. The CVAP program consist of vibration and fatigue analysis, a vibration measurement program, an inspection program, and a correlation of their results. One of the main purposes of the analysis program is to select measurement locations, however measurement locations can not be determined by only analysis results, therefore we developed selection criteria of measurement locations for advanced power reactor 1400(APR1400) RVI CVAP, It will be used to select measurement locations and instrument types for APR1400 RVI CVAP.

• Proceedings of the KIEE Conference
• /
• 1987.11a
• /
• pp.133-136
• /
• 1987

This paper presents a new algorithm of optimal measurement system by using band matrix characteristic respectively for state estimation. A performance index of measurement system is established to reflect relation among measurement sets, probability of measurement failure and cost of individual meter installation. Selection ranking in the candidates of measurement sets is composed to guarantee the observability for any any single meter outage. Performance index sensitivity is introduced and recursive formula which based on the matrix inversion lemma used for selection. The proposed algorithm is composed of successive addition algorithm, successive elimination algorithm and combinatorial algorithm. The band matrix characteristic could save in memory requirements and calculate the performance index faster than earlier.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.11 no.1
• /
• pp.75-84
• /
• 2008

A new automatic small target detection and tracking algorithm for the real-time IR surveillance system is presented. The automatic target detection and tracking algorithm of the real-time systems, requires low complexity and robust tracking performance in the cluttered environment. Linear-array and parallel-scan IR systems usually suffer from severe scan noise caused by the detector non-uniformity. After the spatial filtering and thresholding, this scan noise still remains as high amplitude clutter which degrades the target detection rate and tracking performance. In this paper, we propose a new feature which consists of area and validity information of a measurement. By adopting this feature to the measurements selection and track confirmation, we can increase the target detection rate and reduce both the track loss rate and false track rate. From the experimental results, we can validate the feasibility of the proposed method in the noisy IR images.