• Journal of the Korean Institute of Telematics and Electronics
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• v.12 no.6
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• pp.1-4
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• 1975

This paper dells with the impedance variations of the IMPATT diode depending upon the small a.c. coomponent superimposed on the d.c. bias. The frequency deviation of the modulated wave is measured using a carrier null method on microwave spectrum analyser. Frequency modulation is achieved by the weack a.c. signal superimposed on the d.c. bias. The bandwidth rapidly increase with increasing modulation signal magnitude for constant modulation frquency and slightly decrease with decreasing modulation frequency for constant modulation signal magnitude.

• Communications for Statistical Applications and Methods
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• v.27 no.1
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• pp.141-148
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• 2020

We consider estimating the proportion of true null hypotheses in multiple testing problems. A traditional multiple testing rate, family-wise error rate is too conservative and old to control type I error in multiple testing setups; however, false discovery rate (FDR) has received significant attention in many research areas such as GWAS data, FMRI data, and signal processing. Identify differentially expressed genes in microarray studies involves estimating the proportion of true null hypotheses in FDR procedures. However, we need to account for unknown dependence structures among genes in microarray data in order to estimate the proportion of true null hypothesis since the genuine dependence structure of microarray data is unknown. We compare various procedures in simulation data and real microarray data. We consider a hidden Markov model for simulated data with dependency. Cai procedure (2007) and a sliding linear model procedure (2011) have a relatively smaller bias and standard errors, being more proper for estimating the proportion of true null hypotheses in simulated data under various setups. Real data analysis shows that 5 estimation procedures among 9 procedures have almost similar values of the estimated proportion of true null hypotheses in microarray data.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.6
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• pp.2635-2638
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• 2012

Background: Many studies have investigated the association between glutathione S-transferase T 1 (GSTT1) null genotype and risk of prostate cancer, but the impact of GSTT1 null genotype in Asians is still unclear owing to inconsistencies across results. Thie present meta-analysis aimed to quantify the strength of the association between GSTT1 null genotype and risk of prostate cancer. Methods: We searched the PubMed, Embase and Wangfang databases for studies of associations between the GSTT1 null genotype and risk of prostate cancer in Asians and estimated summary odds ratio (OR) with their 95% confidence interval (95% CI). Results: A total of 11 case-control studies with 3,118 subjects were included in this meta-analysis, which showed the GSTT1 null genotype to be significantly associated with increased risk of prostate cancer in Asians (random-effects OR = 1.49, 95% CI 1.15-1.92, P = 0.002), also after adjustment for heterogeneity (fixed-effects OR = 1.45, 95% CI 1.23-1.70, P < 0.001). No evidence of publication bias was observed. Conclusions: This meta-analysis of available data suggested the GSTT1 null genotype does contribute to increased risk of prostate cancer in Asians.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.7
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• pp.3109-3112
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• 2012

Background: Many studies have focused on possible associations between the glutathione S-transferase M 1 (GSTM1) null genotype and risk of renal cell carcinoma (RCC), but the impact remains unclear owing to obvious inconsistencies among the findings. The present study aimed to quantify the strength of any association in a meta-analysis. Methods: We searched the PubMed, Embase and CBM databases for studies concerning the association between the GSTM1 null genotype and risk of RCC. We estimated the summary odds ratio (OR) with its 95% confidence intervals (95% CI) to assess the association. Results: The meta-analysis showed the GSTM1 null genotype was not associated with risk of RCC overall (OR = 1.04, 95% CI 0.92-1.18, P = 0.501). For Caucasians, the GSTM1 null genotype was also not associated with risk of RCC (OR=1.02, 95% CI 0.90-1.16, P = 0.761). The cumulative meta-analyses showed a trend of no obvious association between GSTM1 null genotype and risk of RCC as information accumulated. Sensitivity analyses by omitting those studies also did not materially alter the overall combined ORs. No evidence of publication bias was observed. Conclusion: Meta-analyses of available data show that the GSTM1 null genotype is not significantly associated with risk of renal cell carcinoma.

• Communications for Statistical Applications and Methods
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• v.9 no.3
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• pp.809-824
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• 2002

we propose two methods which separate the variable selection step and the split-point selection step. We call these two algorithms as CHITES method and F&CHITES method. They adapted some of the best characteristics of CART, CHAID, and QUEST. In the first step the variable, which is most significant to predict the target class values, is selected. In the second step, the exhaustive search method is applied to find the splitting point based on the selected variable in the first step. We compared the proposed methods, CART, and QUEST in terms of variable selection bias and power, error rates, and training times. The proposed methods are not only unbiased in the null case, but also powerful for selecting correct variables in non-null cases.

• Transactions of The Korea Fluid Power Systems Society
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• v.3 no.1
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• pp.7-14
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• 2006

In this paper, an in-process diagnosis method for performance of position control servo system was studied, which was based upon null bias, slew-rate ratio and delay time measurement. Slew-rate ratio and delay time were analyzed by theoretical analysis, computer simulation and experiment. As a result of these analysis, when spool of servovalve was weared, slew-rate ratio was decreased and delay time was increased.

• Transactions of The Korea Fluid Power Systems Society
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• v.6 no.2
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• pp.22-30
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• 2009

An in-process method of diagnosing the spool wear of hydraulic servovalves was explored. The diagnostic method discussed in this paper is for force-control hydraulic servo systems. The key principle used is that pressure sensitivity of a servovalve drops as the valve spool wears out so that it is possible to determine the spool condition by monitoring pressure sensitivity. A diagnostic algorithm was developed and evaluated through numerical simulation and experiments. Two major steps of diagnosis are the evaluation of null bias of the servovalve and the approximation of pressure sensitivity, both of which could be successfully done during normal operation of a servo system. The difference between a new servovalve and a worn valve could be clearly detected in-process, and the diagnostic test was found to be repeatable.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.1697-1701
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• 2013

Background: Studies of associations between genetic polymorphism of glutathione S-transferase M1 (GSTM1) and glutathione S-transferase T1 (GSTT1) with risk of nasopharyngeal cancer (NPC) have generated conflicting results. Thus, a meta-analysis was performed to clarify the effects of GSTM1 and GSTT1 polymorphisms on the risk of developing NPC. Materials and Methods: A literature search in two electronic databases namely PubMed and EMBASE up to December 2012 was conducted and eligible papers were finally selected based on the inclusion and exclusion criteria. The pooled odds ratio (OR) and presence of heterogeneity and publication bias in those studies were evaluated. Results: A total of 9 studies concerning nasopharyngeal cancer were evaluated. Analyses of all relevant studies showed increased NPC risk to be significantly associated with the null genotypes of GSTMI (OR=1.43, 95%CI 1.24-1.66) and GSTT1 (OR=1.28, 95%CI=1.09-1.51). In addition, evidence of publication bias was detected among the studies on GSTM1 polymorphism. Conclusions: This meta-analysis demonstrated the GSTM1 and GSTT1 null genotypes are associated with an increased risk of NPC.

• Journal of Drive and Control
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• v.9 no.4
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• pp.32-41
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• 2012

Most diagnosis methods for servo valves requires installing spool displacement sensor or flow sensor as well as pressure sensor. The measurement of flow is hard to implement and many kinds of servovalves or proportional direction valves do not have a built-in spool displacement sensor. In this study, static performances of servovalve or proportional-direction-valve are studied theoretically and a diagnosis technique, which uses only load pressure and input current signal, is assessed. An experimental setup was made based upon a personal computer and the LabVIEW graphical language. A series of diagnosis tests were performed and the analysis results showed it possible to measure the pressure gain, hysteresis and null bias in a relatively simple methodology.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.1
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• pp.393-398
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• 2013

Background: Many studies have investigated associations between the glutathione S-transferase M1 (GSTM1) null polymorphism and risk of prostate cancer, but the impact of GSTM1 in people who live in Asian countries is still unclear owing to inconsistencies across results. Methods: We searched the PubMed, Web of Science, Scopus, Ovid and CNKI databases for studies of associations between the GSTM1 null genotype and risk of prostate cancer in people who live in Asian countries, and estimated summary odds ratios (ORs) with 95% confidence intervals (95% CIs). Results: A total of 18 case-control studies with 2,172 cases and 3,258 controls were included in this meta-analysis, which showed the GSTM1 null genotype to be significantly associated with increased risk of prostate cancer in people who live in Asian countries (random-effects OR=1.74, 95% CI1.44-2.09, P<0.001). Similar results were found in East Asians (OR=1.41; 95% CI: 1.12-1.78; P=0.004) and Caucasians in Asia (OR=2.19; 95% CI: 1.85-2.60; P<0.001). No evidence of publication bias was observed. Conclusions: This meta-analysis of available data suggested that the GSTM1 null genotype does contribute to increased risk of prostate cancer in people who live in Asian countries.