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RBRIdent: an algorithm for improved identification of RNA-binding residues in proteins from primary sequences
RNA-binding residues sequence-based prediction machine learning feature selection
2016/1/22
Rapid and correct identification of RNA-binding residues based on the protein primary sequences is of great importance. In most prevalent machine-learning-based identification methods; however, either...
Computational Protein Design Using AND/OR Branch-and-Bound Search
Protein design AND/OR branch-and-bound Global min- imum energy conformation Residue interaction network
2016/1/22
The computation of the global minimum energy conforma-tion (GMEC) is an important and challenging topic in structure-based computational protein design. In this paper, we propose a new protein design ...
Two-component Structure in the Entanglement Spectrum of Highly Excited States
Two-component Structure Entanglement Spectrum Highly Excited States
2016/1/22
We study the entanglement spectrum of highly excited eigenstates of two known models that exhibit a many-body localization transition, namely the one-dimensional random-field Heisenberg model and the ...
Knowlywood: Mining Activity Knowledge From Hollywood Narratives
Activity Knowledge Commonsense Knowledge Acquisition
2016/1/22
Despite the success of large knowledge bases, one kind of knowl-edge that has not received attention so far is that of human activi-ties. An example of such an activity is proposing to someone (to get...
A Methodology for Designing the Control of Energy Harvesting Sensor Nodes
Renewable energy storage data buffer control large deviations Markov chain effective rate
2016/1/22
Sensor nodes equipped with renewable energy sources are capable of recharging their batteries and supporting data collection and transmission indefinitely. Energy and data management of these types of...
In this paper we aim to optimize power consumption of mo-bile games without compromising user experience. We study the behavior of 40 mobile games on a smartphone and iden-tify two power-inefficient i...
Proactive Serving Decreases User Delay Exponentially
Proactive Serving User Delay Exponentially
2016/1/22
In online service systems, the delay experienced by a user from the service request to the service completion is one of the most critical performance metrics. To improve user de-lay experience, recent...
Efficient Similarity Join and Search on Multi-Attribute Data
Similarity Search Similarity Join Multi-Attribute Data
2016/1/22
In this paper we study similarity join and search on multi-attribute data. Traditional methods on single-attribute data have pruning power only on single attributes and cannot efficiently support mult...
Hamiltonian tomography for quantum many-body systems with arbitrary
Hamiltoniantomography dynamicaldecoupling quantuminformation
2016/1/22
Hamiltonian tomography for quantum many-body systems with arbitrary.
基于Chebyshev插值算法的实时鱼眼图像校正
Chebyshev插值 鱼眼校正 FPGA
2016/1/20
针对鱼眼镜头由于视场大而导致不可避免的畸变，对其拍摄的视频图像进行畸变校正。采用Chebyshev插值算法，将鱼眼镜头的非线性校正函数转换为多项式校正函数，采用流水线法快速计算多项式校正函数，并通过实例进行实验验证。结果表明，该方法能实现FPGA( Field Programmable Gate Array)平台上的实时鱼眼校正，其效果明显，实时性强。
高动态GNSS信号多普勒模拟任意阶DDS合成器设计
高动态 GNSS信号 多普勒 任意阶DDS
2016/1/18
为高精度模拟高动态条件下GNSS信号的多普勒特性，本文提出一种任意阶DDS信号合成器的设计方法。设计了任意阶DDS信号合成器的结构；通过理论分析，推导了各级累加器相位初值的计算公式；给出了字长选择方法；经仿真与验证，该方法能精确模拟GNSS信号的多普勒特性。此外，本文提出的DDS设计方法不受阶数的限制，可普遍应用于各类信号模拟器的设计。
高动态GNSS信号多普勒模拟任意阶直接数字合成器设计
高动态 GNSS信号 多普勒 任意阶直接数字合成
2016/1/18
为高精度模拟高动态条件下GNSS信号的多普勒特性，提出一种任意阶直接数字合成信号合成器的设计方法。设计任意阶直接数字合成信号合成器的结构；通过理论分析，推导各级累加器相位初值的计算公式；给出字长选择方法。经仿真验证，该方法能精确模拟GNSS信号的多普勒特性。此外，提出的直接数字合成器设计方法不受阶数的限制，可普遍应用于各类信号模拟器的设计。
针对体数据各坐标轴分辨率不一致,导致医学及工业三维图像重建时出现边界台阶状结构、细节断裂或缺失等问题,提出了基于多分辨率修正曲率配准的层间插值方法。该方法采用反投影重建形式增强图像细节,解决配准图像清晰度和对比度弱的问题;利用三次卷积插值构造切片的低分辨率图像以保留图像细微结构,提高配准精度。采取从低分辨率粗配准到高分辨率精细配准的策略减少计算时间,提高计算效率。利用切片图像对应像素间存在对称形变...
增强无人机态势感知的彩色图像融合方法
态势感知 图像处理 彩色融合
2016/1/10
机载传感器侦察及地面数据融合处理是美军军用研究实验室规划的无人机态势感知技术发展的第四等级。独立成分分析(ICA)应用于图像处理是在分析人眼视觉系统特性基础上利用稀疏编码的一种新颖的变换域方法,具有多方向性、特征提取及边缘建模特性。色彩传递是目前融合图像自然感彩色化的最佳途径。以增强无人机态势感知为目的,结合两者研究突出波段特征的自然感彩色融合方法。根据场景建立训练图像库并提取独立波段特征信息构建...
基于谱估计的Fabry-Perot标准具透过率曲线参数估计方法
Fabry-Perot标准具 激光雷达 谱估计 参数估计
2016/1/10
直接探测多普勒测风激光雷达系统大多采用基于Fabry-Perot（F-P）标准具的条纹技术和边缘技术测量多普勒频移。但激光器频率漂移会使得透过率曲线的估计出现一定误差，为了抑制其影响，提出了一种基于谱估计的F-P标准具透过率曲线参数估计方法。首先将标准具全量程扫描结果进行重构得到观测矩阵。之后使用MUSIC算法得到透过率曲线的伪谱。对伪谱进行谱峰搜索后，将得到的谱峰位置进行线性拟合得到自由谱间距。...