Thework presents the electronic structure computations and optical spectroscopy studies of half-Heusler ScNiBi and YNiBi compounds.Our first-principles computations of the electronic structures were based on density f...Thework presents the electronic structure computations and optical spectroscopy studies of half-Heusler ScNiBi and YNiBi compounds.Our first-principles computations of the electronic structures were based on density functional theory accounting for spin-orbit coupling.These compounds are computed to be semiconductors.The calculated gap values make ScNiBi and YNiBi valid for thermoelectric and optoelectronic applications and as selective filters.In ScNiBi and YNiBi,an intense peak at the energy of−2 eV is composed of theNi 3d states in the conduction band,and the valence band mostly contains these states with some contributions from the Bi 6p and Sc 3d or Y 4d electronic states.These states participate in the formation of the indirect gap of 0.16 eV(ScNiBi)and 0.18 eV(YNiBi).Within the spectral ellipsometry technique in the interval 0.22–15μm of wavelength,the optical functions of materials are studied,and their dispersion features are revealed.A good matching of the experimental and modeled optical conductivity spectra allowed us to analyze orbital contributions.The abnormally low optical absorption observed in the low-energy region of the spectrum is referred to as the results of band calculations indicating a small density of electronic states near the Fermi energy of these complex materials.展开更多
地图匹配是智能交通系统中的核心技术之一,旨在将GPS轨迹数据映射至城市路网上,消除定位误差并还原实际行驶路径。随着GPS轨迹数据量的爆炸性增长,传统的基于隐马尔可夫模型(HMM)的地图匹配方法因高计算成本和时序依赖性问题,难以满足...地图匹配是智能交通系统中的核心技术之一,旨在将GPS轨迹数据映射至城市路网上,消除定位误差并还原实际行驶路径。随着GPS轨迹数据量的爆炸性增长,传统的基于隐马尔可夫模型(HMM)的地图匹配方法因高计算成本和时序依赖性问题,难以满足实时处理要求。为此,提出了一种基于轨迹微分段模型的快速地图匹配方法(Micro-Segment Fast Matching,MSFM)。该方法基于滑动窗口机制,将轨迹分解为固定长度的微轨迹段,在分布式计算环境中利用向量化计算方法,在兼顾地图匹配准确性的条件下大幅度提升了计算效率。实验结果表明,在给定的分布式集群环境下,MSFM实现了约110000点/秒的地图匹配速度,比基准算法快约7倍,同时保持了95.86%的匹配准确率。MSFM方法通过改进轨迹数据的存储结构,在高效实时处理大规模轨迹数据方面具有显著的性能优势。展开更多
文摘Thework presents the electronic structure computations and optical spectroscopy studies of half-Heusler ScNiBi and YNiBi compounds.Our first-principles computations of the electronic structures were based on density functional theory accounting for spin-orbit coupling.These compounds are computed to be semiconductors.The calculated gap values make ScNiBi and YNiBi valid for thermoelectric and optoelectronic applications and as selective filters.In ScNiBi and YNiBi,an intense peak at the energy of−2 eV is composed of theNi 3d states in the conduction band,and the valence band mostly contains these states with some contributions from the Bi 6p and Sc 3d or Y 4d electronic states.These states participate in the formation of the indirect gap of 0.16 eV(ScNiBi)and 0.18 eV(YNiBi).Within the spectral ellipsometry technique in the interval 0.22–15μm of wavelength,the optical functions of materials are studied,and their dispersion features are revealed.A good matching of the experimental and modeled optical conductivity spectra allowed us to analyze orbital contributions.The abnormally low optical absorption observed in the low-energy region of the spectrum is referred to as the results of band calculations indicating a small density of electronic states near the Fermi energy of these complex materials.
文摘地图匹配是智能交通系统中的核心技术之一,旨在将GPS轨迹数据映射至城市路网上,消除定位误差并还原实际行驶路径。随着GPS轨迹数据量的爆炸性增长,传统的基于隐马尔可夫模型(HMM)的地图匹配方法因高计算成本和时序依赖性问题,难以满足实时处理要求。为此,提出了一种基于轨迹微分段模型的快速地图匹配方法(Micro-Segment Fast Matching,MSFM)。该方法基于滑动窗口机制,将轨迹分解为固定长度的微轨迹段,在分布式计算环境中利用向量化计算方法,在兼顾地图匹配准确性的条件下大幅度提升了计算效率。实验结果表明,在给定的分布式集群环境下,MSFM实现了约110000点/秒的地图匹配速度,比基准算法快约7倍,同时保持了95.86%的匹配准确率。MSFM方法通过改进轨迹数据的存储结构,在高效实时处理大规模轨迹数据方面具有显著的性能优势。
