In this article, a localized symplectic model reduction technique, locally weighted proper symplectic decomposition (LWPSD), is proposed to simplify parameterized Hamiltonian systems. Our aim is two-fold. First, to ac...
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ISBN:
(纸本)9781479917730
In this article, a localized symplectic model reduction technique, locally weighted proper symplectic decomposition (LWPSD), is proposed to simplify parameterized Hamiltonian systems. Our aim is two-fold. First, to achieve computational savings for large-scale Hamiltonian systems with parameter variation. Second, to preserve the symplectic structure of the original system. As an analogy to the proper orthogonal decomposition, the proper symplectic decomposition (PSD) can be used to construct a symplectic subspace to fit empirical data, and yield a low-order Hamiltonian system on the subspace. Instead of using a global basis to construct a global reduced model, the locally weighted approach approximates the original system by multiple lower-dimensional subspaces. Each local reduced basis is generated by the PSD of a weighted snapshot ensemble. Compared with the standard PSD, the LWPSD could yield a more accurate solution with a fixed subspace dimension. The stability, accuracy, and efficiency of the proposed technique are illustrated through the numerical simulation of the wave equation.
We review our recent progress in hybrid silicon microring lasers and photodetectors for a hybrid transceiver. High-temperature continuous-wave lasing and high-speed operation in both lasers and photodetectors are demo...
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With the increasing amount of image data, the present image retrieval methods have several problems, such as the steps of the visual features coding are fixed, lack of learning ability, low expression ability of the f...
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With the increasing amount of image data, the present image retrieval methods have several problems, such as the steps of the visual features coding are fixed, lack of learning ability, low expression ability of the features, high dimension of the features, which restrict the retrieval performance severely. Aiming at these problems, an image retrieval method based on convolutional neural network and kernel-based supervised hashing is proposed. Firstly, we use the learning ability of convolutional neural network to mine the internal implication relation of the images and extract the deep features. Then, introduce the kernel-based supervised hashing and train the high-dimension deep features with the supervised information, map the high-dimensional features to the low-dimensional compact binary codes. Finally, image retrieval on the mass image datasets is accomplished effectively in low-dimensional hamming space. The experimental results on ImageNet-1000 and Caltech-256 demonstrate that our method can enhance the expression ability of the image features effectively, and reduce the dimensionality of the high-dimension image features, the image retrieval performance is superior to the state-of-the-art methods.
Rosa Bitamina (RB) is an organic fertilizer made from marine-waste product such as shrimp shells, fish carcasses and anchovy heads. This product applied a 3R waste management system which reduced waste products by reu...
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Rosa Bitamina (RB) is an organic fertilizer made from marine-waste product such as shrimp shells, fish carcasses and anchovy heads. This product applied a 3R waste management system which reduced waste products by reused it in production of a new product. Objective of this study is to observe effects of RB towards Rosa centifolia resistancy and flowering process. This fertilizer was produced by grinding dried marine-waste product to small particles. Rose plant with same maturity were used and divided into three different treatments which are T1; control (soil only), T2; soil +commercial fertilizer, T3; soil +RB and T3; soil +RB +charcoal. All samples were placed under plant house condition with 12 hours light exposure for 8 weeks observation. Assessment was conducted on physical assessment through an observation. On week 2, all samples for T3 and T4 showed changes except sample from treatment T1 and T2. T1 and T2 only showed a development on week 4. All leaves remains green and dewy throughout the observation. Thus, RB can enhance the flowering process of R. centifolia up to 2 weeks earlier compared to the untreated R. centifolia . Plant resistency also improved by applying Rosa Bitamina since all sample remains fresh until day 8 weeks of observation.
This paper presents the first method to compute dense scene flow in real-time for RGB-D cameras. It is based on a variational formulation where brightness constancy and geometric consistency are imposed. Accounting fo...
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This paper presents the first method to compute dense scene flow in real-time for RGB-D cameras. It is based on a variational formulation where brightness constancy and geometric consistency are imposed. Accounting for the depth data provided by RGB-D cameras, regularization of the flow field is imposed on the 3D surface (or set of surfaces) of the observed scene instead of on the image plane, leading to more geometrically consistent results. The minimization problem is efficiently solved by a primal-dual algorithm which is implemented on a GPU, achieving a previously unseen temporal performance. Several tests have been conducted to compare our approach with a state-of-the-art work (RGB-D flow) where quantitative and qualitative results are evaluated. Moreover, an additional set of experiments have been carried out to show the applicability of our work to estimate motion in real-time. Results demonstrate the accuracy of our approach, which outperforms the RGB-D flow, and which is able to estimate heterogeneous and non-rigid motions at a high frame rate.
Massive multi-threading of GPGPU demands for efficient usage of caches with limited capacity. In this work, we propose a versatile warp scheduler (VWS) to reduce the cache miss rate in GPGPU. VWS retains the intra-war...
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ISBN:
(纸本)9781479980536
Massive multi-threading of GPGPU demands for efficient usage of caches with limited capacity. In this work, we propose a versatile warp scheduler (VWS) to reduce the cache miss rate in GPGPU. VWS retains the intra-warp cache locality using an efficient per-warp working set estimator and enhances intra-/inter-cooperative thread array (CTA) cache locality through imposing a CTA-aware scheduling policy and a new CTA dispatching mechanism. The significantly improved hit rate of cache hierarchy enables VWS to achieve on average 38.4% and 9.3% IPC improvement across diverse GPGPU applications compared to a widely-used and a state-of-the-art warp schedulers, respectively.
Quantum Dot Cellular Automata (QCA) is an emerging and promising technology. When CMOS technology faces serious challenges, the nanotechnology comes into play. QCA overcomes the limitations of CMOS technology and thus...
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Quantum Dot Cellular Automata (QCA) is an emerging and promising technology. When CMOS technology faces serious challenges, the nanotechnology comes into play. QCA overcomes the limitations of CMOS technology and thus capable of replacing the CMOS technology. This article presents a 2 Dot 1 Electron QCA design methodology of reversible 2 : 1 MUX. In our present scope, we concentrate only on the logical reversibility of the design. Logical reversibility implies a one-to-one mapping between the inputs and the outputs of the construct. To the best of our knowledge, a reversible 2 : 1 MUX design has not been reported yet using 2 Dot 1 Electron QCA.
Photovoltaic (PV) generation is increasingly prevalent throughout power distribution systems. The increased presence of this variable resource can cause adverse impacts to the system due to cloud-induced power output ...
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ISBN:
(纸本)9781467380416
Photovoltaic (PV) generation is increasingly prevalent throughout power distribution systems. The increased presence of this variable resource can cause adverse impacts to the system due to cloud-induced power output fluctuations. These adverse impacts can be mitigated by allowing PV inverters to absorb and provide reactive power in response to voltage swings. Additionally, properly chosen reactive power response settings can improve distribution feeder metrics such as system losses, number of regulator tap changes, customer consumption, and voltage variability. This paper will assess the impact of smart inverter settings on the performance of a distribution feeder in the United States, identify relationships between suitable settings and feeder variables that may be applicable to other feeders, and show the potential benefit of integrated control.
Digital media production and editing technologies have led to widespread forgeries and unauthorized sharing of digital video. This paper presents a method to detect video tampering and differ it from video processing ...
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Digital media production and editing technologies have led to widespread forgeries and unauthorized sharing of digital video. This paper presents a method to detect video tampering and differ it from video processing operations, such as recompression, noise, and brightness increase, using a practical watermarking scheme for real-time authentication of digital video. It can be configured to adjust transparency, robustness, and capacity of the system. The watermark signals represent the macroblock's and frame's indices, and are embedded into the nonzero quantized discrete cosine transform value of blocks, mostly the last nonzero values, enabling our method to detect spatial, temporal, and spatiotemporal tampering. Our method causes smaller video distortion, leading to a PSNR degradation of about 0.88 dB and structural similarity index decrease of 0.0090 with only 0.05% increase in bitrate, and with the bit correct rate of 0.71 to 0.88 after H.264/AVC recompression.
Emerging ITS applications such as fleet management and point of interest distribution require vehicles to have Internet access. However, allowing vehicles to access to the Internet is particularly challenging due to t...
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