1D correlation filter based class-dependence feature analysis for face recognition

In this paper, a novel one-dimensional correlation filter based class-dependence feature analysis (1D-CFA) method is presented for robust face recognition. Compared with original CFA that works in the two dimensional (2D) image space, 1D-CFA encodes the image data as vectors. In 1D-CFA, a new correlation filter called optimal extra-class origin output tradeoff filter (OEOTF), which is designed in the low-dimensional principal component analysis (PCA) subspace, is proposed for effective feature extraction. Experimental results on benchmark face databases, such as FERET, AR, and FRGC, show that OEOTF based 1D-CFA consistently outperforms other state-of-the-art face recognition methods. This demonstrates the effectiveness and robustness of the novel method.     

α-MoO3/TiO2 core/shell nanorods: Controlled-synthesis and low-temperature gas sensing properties

Crystalline α-MoO₃/TiO₂ core/shell nanorods are fabricated by a hydrothermal method and subsequent annealing processes under H₂/Ar flow and in the ambient atmosphere. The shell layer is composed of crystalline TiO₂ particles with a diameter of 2-6 nm, and its thickness can be easily controlled in the range of 15-45 nm. The core/shell nanorods show enhanced sensing properties to ethanol vapor compared to bare α-MoO₃ nanorods. The sensing mechanism is different from that of other one-dimensional metal oxide core/shell nanostructures due to very weak response of TiO₂ nanoparticles to ethanol. The enhanced sensing properties can be explained by the change of type II heterojunction barrier formed at the interface between α-MoO₃ and TiO₂ in the different gas atmosphere. The present results demonstrate a novel sensing mechanism available for gas sensors with high performance.     

基于动态权重裁剪的快速Adaboost训练算法

提出了基于动态权重裁剪的快速Adaboost训练算法,当训练数据集较大时,可以大大提高训练速度.基于动态权重裁剪的Adaboost训练算法在每次迭代过程中舍去权重较小的大多数样本,保留权重较大的少数样本进行训练,迭代完成后检查这个利用少量样本训练得到的弱分类器在所有样本上的分类性能,如果错误率大于0.5,则扩大样本的数量重新训练本次迭代的弱分类器.由于在大多数迭代过程中,只利用了少量样本进行弱分类器的训练,从而提高了整个算法的训练速度.     

Mobile health monitoring system based on activity recognition using accelerometer

We propose a new method to recognize a user’s activities of daily living with accelerometers and RFID sensor. Two wireless accelerometers are used for classification of five human body states using decision tree, and detection of RFID-tagged objects with hand movements provides additional instrumental activity information. Besides, we apply our activity recognition module to the health monitoring system. We derive linear regressions for each activity by finding the correlations between the attached accelerometers and the expended calories calculated from gas exchange analyzer under different activities. Finally, we can predict the expended calories more efficiently with only accelerometer sensor depend on the recognized activity. We implement our proposed health monitoring module on smart phones for better practical use.     

Simulation of smoke plumes from agricultural burns: application to the San Luis/Rio Colorado airshed along the U.S./Mexico border

Vegetation fires emit a number of air pollutants, thus impacting air quality at local, regional and global scales. One such pollutant is the particulate matter (PM) that is known to trigger adverse health effects. In this study, the CALPUFF/CALMET/MM5 modeling system is employed to simulate PM(10) dispersion (PM with aerodynamic diameter less than 10 microm) from agricultural fires in the Yuma/San Luis area along the U.S./Mexico border, with the aim of investigating local and regional air quality impacts of fires. To the extent possible the data collected from and observations made in the study area were employed to infer inputs to the modeling system, but insufficient information available on burning practices and input parameters, such as the duration of fire, PM(10) emission rate and plume rise, necessitated relying on some previously published research as well as the Fire Emission Production Simulator (FEPS) model to provide necessary inputs. Under the simulated conditions the fire plumes did not disperse much, and thus mostly affected the area near the sources. The PM impact of fires on populated (receptor) areas in Yuma/San Luis was less than 15 microg/m(3), calculated on the basis of EPA-recommended 24-hr averaged PM(10). If the formation of secondary particles is considered, the impacts could have been greater. In order to conduct more realistic fire plume simulations, it is imperative to have accurate fire-activity records such as the firing technique applied, fuel condition, time of burning as well as some model updates. In all, this paper presents a methodology for calculating agricultural-burns introduced PM, while identifying critical improvements that need to be made in future work.     

城市街区自助图书馆机械手运动规划与力控制系统设计

城市街区自助图书馆系统是在物联网基础上兴起的文化建设项目,是一种新型的图书馆发展模式。自助图书馆机械手作为图书传输的执行部件,具有借书传输、还书传输、自动分拣的功能,是自助服务效率和安全传输的关键。论文首先介绍了机械手图书传输的实现方式和机械手图书夹持装置的结构．然后对机械手进行了运动规划。在此基础上,基于单片机、运动控制卡和PC机对机械手控制系统进行了设计。市场反馈表明该机械手控制系统运行稳定．很大程度上提高了图书传输的安全性和自助服务的效率、     

Improvement in the Bias Stability of Zinc-Tin Oxide Thin-Film Transistors by Hafnium Doping

The influence of hafnium (Hf) doping on negative-bias temperature instability in zinc-tin oxide thin-film transistors was studied. Hafnium-zinc-tin oxide TFTs exhibited a turn-on voltage (V _ON) that shifted from 0 V to ?1 V with negligible changes in the subthreshold swing and field-effect mobility after 3 h of total stresses. The enhanced improvement of the V _ON shift (ΔV _ON) was attributed to the reduction in the interface trap density, which may result from the suppression of oxygen-vacancy-related defects by the Hf ions.