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As the development of Electronic Medical Records in hospitals, more and more "real world data" became available for clinical researches, especially for the clinical effectiveness evaluation. Besides traditional statistical methods, more Machine Learning methods are also used to analyze the data. In this study, one high value medical consumable –gel, which is used in large quantities in cleaning...
Due to the limitation in speed and throughput of the traditional Von Neumann architecture, the interest in braininspired neuromorphic systems has been the focus of recent research activities. RRAM device has been extensively used as synapses in neuromorphic systems due to its many advantages including small size and compatibility with CMOS fabrication process. However, the RRAM device suffers from...
Anycast-based services today are widely used commercially, with several major providers serving thousands of important websites. However, to our knowledge, there has been only limited study of how often anycast fails because routing changes interrupt connections between users and their current anycast site. While the commercial success of anycast CDNs means anycast usually works well, do some users...
Virtual cluster is widely used in the satellite ground system, how to improve the efficiency of resource scheduling as the key to the entire system. This paper proposed a resource scheduling method with rough set for virtual cluster. Firstly, the resource domain of the target server is determined according to the rough set theory. Then, the rough set parameter calculation is performed on the server...
The six members of the CCN family of proteins participate in many cell processes, including adhesion, proliferation, motility, cell-matrix signaling, angiogenesis, and wound healing. Recent evidence suggests that several CCN proteins exist as truncated or alternatively spliced isoforms that participate in many of the diverse functions ascribed to this family of proteins. This is supported by considerable...
In FY-4 satellite ground application system, Computer & network system (CNS) possesses computationally intensive, complex data structures, etc. To improve the overall efficiency of computing and storage performance of FY-4 system, we propose a cloud computing platform for FY-4 based on resource scheduling technology. We adopt a separate hierarchical scheduling design. The separation of operation...
An appropriate resolution of the Digital Elevation Model (DEM) data with sufficient quality of the gradient field is critical for effective correction of remotely sensed data over mountainous areas. Conversely, using performance of terrain illumination correction and scale-based analysis, such as filter bank analysis, the quality of DEM data can be evaluated. In this study, TanDEM-X Intermediate DEM...
Enterprises had begun gradually to value the impacts of ecological hazards in their operations. Environmental pressures have caused green supply chain management (GSCM) to emerge as an important corporate environmental strategy for manufacturing enterprises. For manufacturers to fully realize the performance potentials of GSCM that could give any influences to their performance especially in competitive...
De-noising is a crucial task in power line communication (PLC) for home automation. This paper presents a novel adaptive de-noising technique that is based on the multi-resolution analysis (MRA) of the wavelet transform for X10, which is a communication protocol designed for sending signals over low-voltage AC wiring. The proposed method establishes a look-up table to detect the noise level of 60...
Carbon nanotube field effect transistor (CNFET) is one of the most promising emerging technologies, which can potentially outperform the conventional silicon technology with higher speed and lower power. However, most emerging technologies, including CNFETs, often face the challenge of lower device yield due to imperfect material processing. This paper studies the impact of imperfection of CNT substrates...
In this paper, a novel integral equation domain decomposition method (IE-DDM) using electric/magnetic current combined-field integral equation (JMCFIE) is proposed for analyzing electromagnetic (EM) scattering and radiation from general composite objects. It provides a flexible method to decompose a complex composite domain into easily solvable non-overlapping sub-domains. Both electric/magnetic field...
The rapid development of modern internet industry system has promoted a brand new revolution of vehicle design. Deriving from the field of computer interaction, the theory of User Experience (UX) design has grown up. While the InVehicle Infotainment (IVI), with a high connection with computer interaction, demanding the methods and flow of UX design urgently. Depending on the UX design project for...
With continuous and aggressive technology scaling, suppressing the stand-by power is among the top priorities for SRAM design. Switching off the less-frequently accessed blocks is an efficient way to reduce the stand-by power, provided that the information stored in these blocks can be restored. Non-volatile memories (NVMs) are integrated into SRAM cells to perform the required store and restore functions...
RRAM-based memory is a promising emerging technology for both on-chip and stand-alone non-volatile data storage in advanced technologies. In addition to its small dimensions, the RRAM device has many technological advantages including its low-programming voltages, high speed, low power, CMOS-compatible fabrication process, and potentially monolithic 3D integration. However, one of the critical challenges...
A new variation-aware energy-delay optimization method is proposed for device-circuit co-design in nanoscale CMOS digital circuits design. Yield is added into traditional energy-delay (ED) optimization method as a figure of merit to take account of ED variation caused by major process variation sources in nanoscale technology. Threshold voltage and supply voltage can be co-optimized to meet any customized...
In this paper, an extension of the integral equation based on domain decomposition method (IE-DDM) is presented for dynamic electromagnetic scattering problems above a lossy half space. In the framework of the IE-DDM, the proposed method divides the composite object into several homogeneous sub-domains. Each sub-domain is properly described by a closed surface, and robin transmission condition is...
In the age of big data, distributed computing frameworks tend to coexist and collaborate in pipeline using one scheduler. While a variety of techniques for reducing I/O latency have been proposed, these are rarely specific for the whole pipeline performance. This paper proposes memory management logic called “Hippo” which targets distributed systems and in particular “pipelined” applications that...
In this paper, a highly efficient and robust scheme is proposed to analyzing electromagnetic (EM) scattering of arbitrary shaped perfect electrically conducting (PEC) objects in half space. The electric field integral equation (EFIE) with the half-space Green's function is chosen as the basis of this method due to its great versatility and accuracy. A perturbed dual threshold incomplete LU factorization...
In this paper, a multiple-grid precorrected fast Fourier transform (MG-pFFT) based on the integral equation domain decomposition method (IE-DDM) is presented for multi-scale, dynamic electromagnetic scattering problems in half space. In the framework of the IE-DDM, the proposed method employs multiple auxiliary FFT grids in each domain. Numerical experiments validate the reduced complexity and accuracy...
Changes in the viewing angles pose a major challenge for gait recognition because the human gait silhouettes can be different under the various viewing angles. Recently, View Transformation Model (VTM) was proposed to tackle this problem by transforming gait features from across views to a common viewing angle. However, VTM must use the data of subjects crossing all views to train the pre-constructed...
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