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An in-pipe robot must be able to adapt to the various geometric changes of pipes and have large enough load carrying capacity in order to move freely in industry pipe and drag heavy load. A novel in-pipe 3SPR/3RPS type parallel manipulator is proposed and its kinematics is analyzed in this paper. First, an in-pipe parallel manipulator with multi-foot is designed, and its principle and characteristics...
The large degrees of freedom of irregular microphone placements render them difficult to analyze and optimize. This paper examines beamformer performance based on statistical descriptions of irregular geometries. Four geometry descriptors are developed to capture the properties of microphone distributions showing critical impact on array performance. Based on the relations of descriptors on performance...
The main challenge of bioluminescence tomography (BLT) is the ill-posed, non-unique nature of the inverse problem. To get reliable reconstruction, permissible source region is a commonly used a priori knowledge in the inverse procedure. In this paper, to accurately reveal 3D distribution of bioluminescent sources from limited boundary measurement, we propose an iterative reconstruction method incorporating...
Patients infected human papillomavirus (HPV) is increasing all over the world, in particular the community of woman. Microarray-in-a-tube system is a novel method of integrating polymerase chain reaction (PCR) with the microarray technique and a simple and high-throughput detection system. In this work, the microarray-in-a-tube system used in the function of detection human papillomavirus genotypes...
We present a method to accurately localize multiple small fluorescent objects within the tissue using fluorescence molecular tomography (FMT). The proposed method exploits the localized or sparse nature of the fluorophores in the tissue as a priori information to considerably improve the accuracy of the reconstruction of fluorophore distribution. This is accomplished by minimizing a cost function...
Bioluminescence tomography (BLT) is a promising molecular imaging tool that may play an important role in preclinical research. However, the accurate and stable reconstruction of interior targets remains a challenge for wide application of this imaging modality. We present a novel reconstruction scheme to improve the BLT result by using the simplified spherical harmonics approximation model and homotopy...
Fluorescence molecular tomography (FMT) is a promising imaging modality that offers the possibilities to monitor cellular and molecular function in vivo. However, accurate and stable reconstruction of fluorescence-labeled targets remains a challenging problem. In this contribution, a two-stage reconstruction algorithm that combines sparse regularization with adaptive finite element method is proposed,...
Fluorescence molecular tomography (FMT) is a promising imaging modality that offers the possibilities to monitor cellular and molecular function in vivo. However, accurate and stable reconstruction of fluorescence-labeled targets remains a challenging problem. In this contribution, a two-stage reconstruction algorithm that combines sparse regularization with adaptive finite element method is proposed,...
This paper presents a quantitative reconstruction scheme for bioluminescence tomography from single view measurement. With a priori information of sources sparsity, sparse regularization method is employed to act as an algebraic stabilizer to tackle the highly ill-posedness of BLT inverse problem. In the reconstruction process, the decay of bioluminescence light is also taken into account, and an...
In order to suppress vibration of flexible robots, the concept of controllable local degree of freedom is proposed and a physical model of flexible robot with single controllable local degree of freedom is built, with a flexible main chain and a rigid branch link. The dynamic model is established using Kane method and assumption modal method. Numerical simulation is carried out and the theoretical...
The complex relationship between irregular microphone distributions and its spatial gain hinders the efficient use of beamforming in various applications. This paper examines beamformer performance based on statistical descriptions of microphone geometries. In particular, array centroid, dispersion, and entropy based statistics are used to characterize irregular geometries relative to beamformer focal...
Using statistical network calculus theory, a model of an entrepreneur characteristic evolution system is put forward. In this system, stages in the enterprise lifecycle are considered to be network nodes which offer services for the incoming flows. Comparing with Input and output by several stages, entrepreneur characteristic changes will be found out to estimated sustainability of entrepreneur potential...
The requirement for land surface temperature (LST) in environmental studies and resource management makes the remote sensing of LST an important topic. As a result, a number of studies about the development of methodologies for retrieving LST have been carried out. This paper attempts to use both the split-window algorithm and the Linear Spectral Mixed Model for computing vegetation fraction, in order...
Bioluminescence Tomography (BLT) reconstruction is a highly ill-posed inverse problem. In this research, we formulate it as a quadratically constrained least squares problem and present a trust region method for solving this problem. Simulations based on a heterogeneous phantom demonstrate that the trust region method has the capability to effectively handle the ill-posedness of BLT. The experiments...
Bioluminescence tomography is a new modality of optical molecular imaging for localizing and quantifying bioluminescence source in a small living animal. The reconstruction of internal bioluminescent source is still a difficult problem. In this paper, a trial and error approach based on Monte Carlo method is developed for localizing the bioluminescent source. The iteration number of the trial and...
Reconstruction of the bioluminescent source information in small animals in vivo is the inverse problem of Bioluminescence tomography (BLT), which is proved severely ill-posed. Regularization plays an important role in BLT, and choosing the right amount of regularization is crucial to get a meaningful result. However, automated methods to choose a regularization parameter have not been sufficiently...
While many researches of host anomaly detection system using system calls under UNIX/UNIX-like systems have been done but little in Windows systems, we do the similar research under Windows platforms via tracing the sequences of Windows native APIs which are considered as the Windows system calls. In this article, we first introduce native API briefly and then divide the captured sequences with slide...
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