Inverse Transient Analysis (ITA) is a powerful approach for leak detection of pipelines. When the pipe transient flow is analyzed in frequency domain the ITA is called Inverse Frequency Response Analysis (IFRA). To implement an IFRA for leak detection, a transient state is initiated in the pipe by fast closure of the downstream end valve. Then, the pressure time history at the valve location is...

We present a hybrid CMOS-based microfluidic system that combines magnetic actuation of microparticles with in situ optical detection using ingle photon avalanche diodes (SPADs). The decoupling of the principles used for actuation and sensing permits a high sensitivity with respect to etection and particle handling. Single magnetic microparticles are transported within a glass micro-capillary po...

Degradation is a major problem for the particle filter algorithm. Although the conventional resampling method can solve the degradation problem, it will make the particles lose diversity. In this paper, we proposed a weights selected particle filter (WSPF) algorithm for adaptive multi-user detection (MUD) in synchronous code division multiple access (CDMA) system. This algorithm assumes the num...

Pedestrian tracking and detection of crowd abnormal activity under dynamic and complex background using Intelligent Video Surveillance (IVS) system are beneficial for security in public places. This paper presents a pedestrian tracking method combing Histogram of Oriented Gradients (HOG) detection and particle filter. This method regards the particle filter as the tracking framework, identifies...

Fault detection and failure prediction for nonlinear non-Gaussian systems is an important issue both from the economic and safety point of view. Most of the fault detection techniques assume the system model to be linear and the noise to be Gaussian. These linearization assumptions tend to suffer form poor detection and imprecise prediction. Also, they may lead to false alarms which would incur...

ZnS nanoparticles (NPs) doped with ‎Ag‎, ‎Cu‎, ‎and AgCu were synthesized using hydrothermal‎ ‎method in water solution‎. ‎The NPS are characterized by X-ray diffraction (XRD)‎, ‎energy-dispersive‎ ‎X-ray spectroscopy scanning (EDX)‎, ‎scanning electron‎ ‎microscopy (SEM) and dynamic light scattering (DLS)‎. ‎The produced NPs have approximately hexagonal structure and a cubic zinc blended struc...

This study examined and presents an effective method for detection of failure of conductor bars in the winding of rotor of induction motor in low load conditions using neural networks of radial-base functions. The proposed method used Hilbert method to obtain the stator current signal push. The frequency and signal amplitude of the push stator were used as the input of the neural network and th...

In this paper, a novel track-before-detect algorithm is proposed for weak target with low signal to noise ratio. Multi-sensor information combining with trackbefore-detect technology is used to improve the signal to noise ratio. According to frame sequences of each sensor, Rao-Blackwellized particle filter, which is a clever combination of the Kalman filter and the standard particle filter, is ...

BACKGROUND Given the importance of highly reactive oxygen species (hROS) as reactants in a wide range of biological, photochemical, and environmental systems there is an interest in detection and quantification of these species. The extreme reactivity of the hROS, which includes hydroxyl radicals, presents an analytical challenge. 3'-(p-Aminophenyl) fluorescein (APF) is a relatively new probe u...

An induction charge detector yields the net charge and the time of flight of a particle. The unique ability to independently measure these two parameters sets apart this rather simple detection technique. The main shortcoming of this instrument is its high charge detection limit, resulting from the intrinsic noise of the detector electronics and the low signal associated with the charge to meas...