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This study reported an integrated microfluidic system for automating multiplex detection of allergy microarrays. Allergy has become a common disease worldwide. However, detection for allergy on microarrays requires tedious manual operation, well-trained technicians and a relatively labor-intensive process. In this study, an integrated microfluidic system combining the microfluidic techniques and the...
Dynamically substructured system (DSS) technique is increasing recognized in the testing field. A DSS method decomposes an entire system into several substructures, which are tested numerically or physically, but run as a whole like the original system. Thus, the advantages of DSS include flexibility, space-saving, and cost-reduction. In a DSS test, actuators produce unexpected disturbance, when transferring...
The purpose of this study is to examine the impact of personal values, social recognition, and demographics on Mongolian women toward luxury fashion brands. Those variables are very influential when it comes to the involvement the purchasing intention of Mongolian women who are very venerable with what other's thought and being accepted in society. The study utilizes a survey approach to gather data...
This study presents a smart homecare surveillance system, which utilizes sound-steered cameras to identify behavior of interest. First of all, to detect multiple source locations, a new direction-of-arrival (DOA) algorithm is proposed by introducing cascaded frequency filters, which can quickly calculate directions without creating much complexity. This method can also locate and separate different...
In order to extend the life for battery driven mobile devices and maintain image quality, this paper presents a dual-mode unified shader for mobile GPUs, which consists of floating-point and fixed-point SIMD shader, for high quality or energy-saving rendering. Furthermore, in order to increase the image quality in fixed-point rendering, this paper proposes a frame-based dynamic precision adjustment...
The purposes of our work was to design an improved particle swarm optimization (PSO) framework that is capable of wider search area and better fitness values by diversity-guided bilateral objective function. To address the problems of premature convergence of existing PSO techniques, an improved PSO framework have been proposed, consisting of bilateral objective function (BOF). The BOF was developed...
In recent years, personal health management has been interested to researchers and healthcare practitioners. Recording and analyzing physiological variations in ordinary life could be especially useful to manage health problems and to care individuals. It is widely pointed out that various vital signs are important indicators used to evaluate the wellness of physical bodies. In this study, an Intelligent-Mamdani...
This study presents a framework of platform-based inference system design to provide specific field experts/users developing customized fuzzy inference system efficiently and effectively. The framework is composed of three major components: FML editor, FML parser and FML inference engine. First, the FML editor can let field experts compile knowledge base and rule base with friendly user interface...
Cardiotocography (CTG) is a frequently used technique of fetal monitoring to evaluate the well being of the fetus during pregnancy and in labor. The surveillance technique depends on the analysis of characteristic fetal heart rate patterns and uterine contractions. Computerized analyses can mitigate the intra-observer and inter-observer variability of visual CTG recording explanation, decrease the...
This investigation proposes an SVM-based state transition framework (named as STSVM) to provide better performance of discriminability for human behavior identification. The STSVM consists of several state support vector machines (SSVM) and a state transition probability (STPM). The intra-structure information and inter-structure information of a human activity are analyzed and correlated by the SSVM...
An event-based segmentation method for sports videos is presented. A motion entropy criterion is employed to characterize the level of intensity of relevant object motion in individual frames of a video sequence. The resulting motion entropy curve then is approximated with a piece-wise linear model using a homoscedastic error model based time series change point detection algorithm. It is observed...
A novel linearized Gaussian minimum shift keying (LGMSK) system is proposed for block data transmission. In each block, a known unique-word (UW) is inserted as guard interval, and a phase state return bit (PSRB) is also added to maintain LGMSK phase trellis consistency. It is shown that the transmit signal has near constant-envelope property. At the receiver, a frequency-domain decision-feedback-equalizer...
This paper presents highly efficient hardware structure for FPGA implementation of a configurable multipath fading channel emulator. The design and merits of its three major blocks are also examined in detail, including fading generator with high performance white Gaussian noise (WGN) source, flexible multi-stage interpolator for variable fading rate, and Farrow-based arbitrary multipath delay generator...
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