A Real-Time Face Recognition System Based on BDPCA Plus BDDLDA

AbstractHolistic-based methods, especially principal component analysis(PCA) and linear discriminant analysis(LDA), are very popularly used in face recognition. In last several years, the direct LDA(D-LDA) method was suggested to overcome the so-call “small simple size” problem. Besides, the researchers suggest bidirectional PCA(BDPCA) method, which may be more real-time and effective than PCA, and proposed BDPCA plus LDA (BDPCA+LDA). In the same way, we suggest bidirectional D-LDA(BDDLDA) should be faster than D-LDA, and proposed BDPCA plus BDDLDA (BDPCA+BDDLDA). In this paper, we present a real-time face recognition system for operating system authentication based on BDPCA+BDDLDA. A face database, which was collected with a CCD camera on the laptop, is used to evaluate this system. Experimental results show that this practical system is real-time and effective

Feature Selection and Activity Prediction in Chinese Medicine Research Using a Hybrid Model GA-SVM

Abstract- A new hybrid method called GA-SVM was proposed which combines GA (Genetic Algorithm) as a feature selection model and SVM (Support Vector Machine) as a regression model. With some modifications to the general GA and SVM models, this method can implement feature selection and activity prediction simultaneously, and its performance can be improved. Two experiments are carried out which indicate its better performance than traditional models such as BP net in small sample sets. Important features could be selected by GA-SVM which are validated by MLR. By applying the new model in Chinese medicine research, the QSAR of COX-2 and PGE2 inhibitors were found out and useful conclusions to instruct practical pharmaceutics were drawn. Key Words: SVM (Support Vector Machine), GA (Genetic Algorithm), Chinese medicine research

Direction and Trajectory Tracking Control for Nonholonomic Spherical Robot by Combining Sliding Mode Controller and Model Prediction Controller

Spherical robot is a nonlinear, nonholonomic and unstable system which increases the difficulty of the direction and trajectory tracking problem. In this study, we propose a new direction controller HTSMC, an instruction planning controller MPC, and a trajectory tracking framework MHH. The HTSMC is designed by integrating a fast terminal algorithm, a hierarchical method, the motion features of a spherical robot, and its dynamics. In addition, the new direction controller has an excellent control effect with a quick response speed and strong stability. MPC can obtain optimal commands that are then transmitted to the velocity and direction controller. Since the two torque controllers in MHH are all Lyapunov-based sliding mode controllers, the MHH framework may achieve optimal control performance while assuring stability. Finally, the two controllers eliminate the requirement for MPC's stability and dynamic constraints. Finally, hardware experiments demonstrate the efficacy of the HTSMC, MPC, and MHH.Comment: This work has been submitted to the IEEE Robotics and Automation Letters RA-L for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessibl

CAF-1 is essential for Drosophila development and involved in the maintenance of epigenetic memory

AbstractDNA synthesis during S-phase and upon DNA repair is accompanied by chromatin assembly. The chromatin assembly factor CAF-1 has been biochemically well-characterized to deposit histones onto newly synthesized DNA. To gain insights into the in vivo functions of CAF-1 in Drosophila, we generated null mutants of the largest subunit of dCAF-1, dCAF-1-p180. We show that, unlike CAF-1 mutant yeast, dCAF-1-p180 mutant flies are hemizygous lethal. Removal of maternal dCAF-1-p180 activity by germline clones blocks oogenesis. Tissue-specific deletion of dCAF-1-p180 in the eye primordia disrupts eye development. In addition, reduction of dCAF-1-p180 activity suppresses gene silencing at heterochromatin and antagonizes Polycomb-mediated cell fate determination. Furthermore, heterozygous dCAF-1-p180 mutant flies display an increased sensitivity to γ-irradiation and a reduced efficiency in recombinational double strand break (DSB) repair. Our experiments also show that human hCAF-1-p150 can rescue the dCAF-1-p180 mutant flies, demonstrating a functional conservation of eukaryotic CAF-1 activities in vivo. Together, our results establish that dCAF-1-p180 is an essential gene for Drosophila development and further underscore the importance of dCAF-1 in regulating gene expression and DNA repair in vivo

Mapping human tissues with highly multiplexed RNA in situ hybridization.

In situ transcriptomic techniques promise a holistic view of tissue organization and cell-cell interactions. There has been a surge of multiplexed RNA in situ mapping techniques but their application to human tissues has been limited due to their large size, general lower tissue quality and high autofluorescence. Here we report DART-FISH, a padlock probe-based technology capable of profiling hundreds to thousands of genes in centimeter-sized human tissue sections. We introduce an omni-cell type cytoplasmic stain that substantially improves the segmentation of cell bodies. Our enzyme-free isothermal decoding procedure allows us to image 121 genes in large sections from the human neocortex in <10 h. We successfully recapitulated the cytoarchitecture of 20 neuronal and non-neuronal subclasses. We further performed in situ mapping of 300 genes on a diseased human kidney, profiled >20 healthy and pathological cell states, and identified diseased niches enriched in transcriptionally altered epithelial cells and myofibroblasts