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Common mode current suppression is important to grid-connected photovoltaic (PV) systems and depends strongly on the value of the parasitic capacitance between the PV panel and the ground. Some papers address that the parasitic capacitance of PV panel becomes larger in the humid environment. However, they do not give detailed explanation, and some give confusing address. This paper presents clarified...
Combining imaging technology and spectroscopy in a unified system, hyperspectral data sets provide a powerful sense to discriminate the targets in a view. However, most of the traditional methods for HSIs concentrate on pixel/subpixel level targets and they only rely on spectral characteristic. On the one hand, the target composed of different materials may not be well-represented by only one kind...
Automatic pain expression recognition is a challenging task for pain assessment and diagnosis. Conventional 2D-based approaches to automatic pain detection lack robustness to the moderate to large head pose variation and changes in illumination that are common in real-world settings and with few exceptions omit potentially informative temporal information. In this paper, we propose an innovative 3D...
In this paper, we propose a novel method for detecting and tracking landmark facial features on purely geometric 3D and 4D range models. Our proposed method involves fitting a new multi-frame constrained 3D temporal deformable shape model (TDSM) to range data sequences. We consider this a temporal based deformable model as we concatenate consecutive deformable shape models into a single model driven...
Facial expression is central to human experience. Its efficient and valid measurement is a challenge that automated facial image analysis seeks to address. Most publically available databases are limited to 2D static images or video of posed facial behavior. Because posed and un-posed (aka “spontaneous”) facial expressions differ along several dimensions including complexity and timing, well-annotated...
This paper presents a novel dynamic curvature based approach (dynamic shape-index based approach) for 3D face analysis. This method is inspired by the idea of 2D dynamic texture and 3D surface descriptors. The dynamic texture (DT) based approaches [30][31][32] encode and model the local texture features in the temporal axis, and have achieved great success in applications of 2D facial expression recognition...
Dietary intake provides valuable information for understanding the relationship between diet and health. Valid measurement of food volume is one of the most challenging problems in nutrient studies. Computer vision techniques have been used for better evaluation of dietary intake. In this paper, we propose a mobile structured light system (SLS) to measure daily dietary intake. Our system consists...
Selective Catalytic Reduction (SCR) is a method of reducing oxides of nitrogen (NOx) emissions from diesel engines by catalytic reaction. Based on AMESim software, 1D and 2D SCR system models for diesel engines are established and simulated. The results show that both two models are available for the performance study of SCR system, and the 2D model matches the experiment results better, which is...
3D face scans have been widely used for face modeling and face analysis. Due to the fact that face scans provide variable point clouds across frames, they may not capture complete facial data or miss point-to-point correspondences across various facial scans, thus causing difficulties to use such data for analysis. This paper presents an efficient approach to represent facial shapes from face scans...
In this paper, the characteristic variability in gate-all-around (GAA) silicon nanowire MOSFETs (SNWTs) is experimentally studied. Variation sources in SNWTs are extracted for the first time, taking into account the strongly-confined geometry induced quantum effect, quasi-ballistic effects, as well as the parasitic quantum resistance at the interface of 1D channel and 3D wide S/D regions. The measured...
As one of the candidates of the next generation non-volatile memory(NVM), phase change memory(PCM) has been paid more attention. However, there are still many open issues such as numerical simulation to study. Phase transition is a temperature based process, which can be simulated by temperature profile generated by the device simulator coupled with the phase transition model. In this work, a phase...
A complete surface potential-based current-voltage and capacitance-voltage core model for cylindrical undoped surrounding-gate (SRG) MOSFETs is presented in this paper. This model allows the current-voltage (IV) and capacitance-voltage (CV) characteristics to be adequately described by a single set of the equations in terms of the surface potential. The model is valid for all operation regions and...
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