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D. Isarakorn, M. Linder,M. Linder,D. Briand,N.F. de Rooij 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
In this paper, we introduce a charge integrator as a read-out system for piezoelectric cantilever sensors. The charge integrator is used to monitor the surface charge induced by piezoelectric materials as a function of mechanical stress. This technique improves the response of piezoelectric cantilever sensors in low frequency measurements which makes them suitable for chemical and biological detection. Furthermore, it is capable of real-time, portable and allelectrical detection. The detection of alkanethiols on the Au-coated piezoelectric cantilevers is demonstrated to verify the concept.
Samawi, Hani M.,Helu, Amal,Rochani, Haresh D.,Yin, Jingjing,Linder, Daniel The Korean Statistical Society 2016 Communications for statistical applications and me Vol.23 No.5
The stress-strength models have been intensively investigated in the literature in regards of estimating the reliability ${\theta}$ = P(X > Y) using parametric and nonparametric approaches under different sampling schemes when X and Y are independent random variables. In this paper, we consider the problem of estimating ${\theta}$ when (X, Y) are dependent random variables with a bivariate underlying distribution. The empirical and kernel estimates of ${\theta}$ = P(X > Y), based on bivariate ranked set sampling (BVRSS) are considered, when (X, Y) are paired dependent continuous random variables. The estimators obtained are compared to their counterpart, bivariate simple random sampling (BVSRS), via the bias and mean square error (MSE). We demonstrate that the suggested estimators based on BVRSS are more efficient than those based on BVSRS. A simulation study is conducted to gain insight into the performance of the proposed estimators. A real data example is provided to illustrate the process.
Jabrah, Rajai,Samawi, Hani M.,Vogel, Robert,Rochani, Haresh D.,Linder, Daniel F.,Klibert, Jeff The Korean Statistical Society 2017 Communications for statistical applications and me Vol.24 No.3
Drawing a sample can be costly or time consuming in some studies. However, it may be possible to rank the sampling units according to some baseline auxiliary covariates, which are easily obtainable, and/or cost efficient. Ranked set sampling (RSS) is a method to achieve this goal. In this paper, we propose a modified approach of the RSS method to allocate units into an experimental study that compares L groups. Computer simulation estimates the empirical nominal values and the empirical power values for the test procedure of comparing L different groups using modified RSS based on the regression approach in analysis of covariance (ANCOVA) models. A comparison to simple random sampling (SRS) is made to demonstrate efficiency. The results indicate that the required sample sizes for a given precision are smaller under RSS than under SRS. The modified RSS protocol was applied to an experimental study. The experimental study was designed to obtain a better understanding of the pathways by which positive experiences (i.e., goal completion) contribute to higher levels of happiness, well-being, and life satisfaction. The use of the RSS method resulted in a cost reduction associated with smaller sample size without losing the precision of the analysis.
Huang, Yisong,Samawi, Hani M.,Vogel, Robert,Yin, Jingjing,Gato, Worlanyo Eric,Linder, Daniel F. The Korean Statistical Society 2016 Communications for statistical applications and me Vol.23 No.6
The validity of statistical inference depends on proper randomization methods. However, even with proper randomization, we can have imbalanced with respect to important characteristics. In this paper, we introduce a method based on ranked auxiliary variables for treatment allocation in crossover designs using Latin squares models. We evaluate the improvement of the efficiency in treatment comparisons using the proposed method. Our simulation study reveals that our proposed method provides a more powerful test compared to simple randomization with the same sample size. The proposed method is illustrated by conducting an experiment to compare two different concentrations of titanium dioxide nanofiber (TDNF) on rats for the purpose of comparing weight gain.
A SEMI-EMPIRICAL MODEL OF BURIED CHANNEL PMOS DEVICES AT 77K BASED ON THE POOLE-FRENKEL EFFECT
Kim, S. K.,Dries, M. F.,Linder, W. J. 대한전자공학회 1989 ICVC : International Conference on VLSI and CAD Vol.1 No.1
Buried channel PMOS devices are found to have smaller transconductance than surface channel devices for subthreshold operation at 77K. At this temperature, carriers in the buried channel will partially be frozen out. The freeze-out is associated with the boron impurities implanted to adjust the threshold voltages. A semi-empirical model based on the Poole-Frenkel effect is presented. In the model, the device works like JFETs in the weak inversion region and the carrier density in the channel area increases with gate potential faster than the conventional JFET models. This will alter he subthreshold behavior of the device. Once the device is in the strong inversion region, the surface channel conduction i the predominant mechanism. Our model shows a good fit for I_(DS) in the range of 1nA to 1uA, for devices whose W/L is equal to l0u/10u.