We developed a scheme based on wood surface novel wood recognition spectral features that aimed to solve three problems. First was elimination of noise in some bands of wood spectral reflection curves. Second was imp...We developed a scheme based on wood surface novel wood recognition spectral features that aimed to solve three problems. First was elimination of noise in some bands of wood spectral reflection curves. Second was improvement of wood feature selection based on analysis of wood spectral data. The wood spectral band is 350-2500 nm, a 2150D vector with a spectral sampling interval of 1 nm. We developed a feature selection proce- dure and a filtering procedure by solving the eigenvalues of the dispersion matrix. Third, we optimized the design for the indoor radian＇s mounting height. We used a genetic algorithm to solve the optimal radian＇s height so that the spectral reflection curves had the best classification infor- mation for wood species. Experiments on fivecommon wood species in northeast China showed overall recogni- tion accuracy 〉95 % at optimal recognition velocity.展开更多
A real time system used to detect phase difference between two sinusoidal signals is proposed in this paper. The system is designed to process the phase signal of the far-infrared （FIR） hydrogen cyanide （HCN） inte...A real time system used to detect phase difference between two sinusoidal signals is proposed in this paper. The system is designed to process the phase signal of the far-infrared （FIR） hydrogen cyanide （HCN） interferometer on J-TEXT. It is based on zero-crossing detection and makes use of the digital circuit. Compared with a traditional zero-crossing phase detector, it doesn＇t need to sacrifice the time resolution to expand the phase range. The phase difference is divided into two parts, the integer part and the fraction part. In each detecting cycle, they are detected separately. It outputs digital signals that are more stable for transmission. A prototype was built on J-TEXT using discrete components. A practical method is proposed to deal with the counting error caused by the deviation of electronic components in manufacture. Reasonable results were obtained on the prototype. The phase resolution reaches 2π/64 in test, and can still be improved by raising the clock frequency.展开更多
Objective To compare the phase radians in several cerebral regions between patients with Parkinson’s disease （PD） and control subjects, and to evaluate whether iron deposition quantified by susceptibility-weighted ...Objective To compare the phase radians in several cerebral regions between patients with Parkinson’s disease （PD） and control subjects, and to evaluate whether iron deposition quantified by susceptibility-weighted imaging （SWI） is related to the severity of motor symptoms of PD. Methods SWI consisted of both magnitude and phase images from a fully flow-compensated, 3-dimensional and gradient-echo （GRE） sequence. Magnitude and phase data were collected at GE HD 1.5T. The regions evaluated included frontal white matter, grey matter, cerebrospinal fluid, putamen, caudate nucleus （CN）, sub- stantia nigra pars compacta （SNc）, substantia nigra pars reticulata （SNr）, and red nucleus （RN）. A total number of 42 patients （12 patients without cognitive dysfunction, and 30 with cognitive dysfunction from mild to moderate degrees） and 30 control subjects were employed in the present study. Results The phase radians of SNc, CN and RN in PD patients were lower than those in control subjects （P〈0.05）. Conclusion The phase radians can be used to estimate the brain iron deposition in PD patients, which may be helpful in the diagnosis and longitudinal monitoring of PD.展开更多
时间序列的近似表示和相似度量是时间序列数据挖掘的重要任务之一,是进行相似匹配的关键。该文针对现有的各种基于分段线性表示(Piecewise Linear Representation,PLR)相似度量方法存在的序列长度依赖和多分辨率条件下的潜在识别误差等...时间序列的近似表示和相似度量是时间序列数据挖掘的重要任务之一,是进行相似匹配的关键。该文针对现有的各种基于分段线性表示(Piecewise Linear Representation,PLR)相似度量方法存在的序列长度依赖和多分辨率条件下的潜在识别误差等缺点,提出了一种序列分段线性弧度表示和基于弧度距离的相似度量方法,实现了序列的快速在线分割和相似度计算。该方法简洁直观,利用分段弧度对分段趋势进行细粒度划分来保留序列主要形态特征,有效地提高了度量结果的准确性和多分辨率条件下的稳定性。该方法具有序列分割算法独立性特点,可用于时间序列的相似查询、模式匹配、分类和聚类。展开更多
基金financially supported by the Fund of Forestry 948 Project (No. 2011-4-04)the Fundamental Research Funds for the Central Universities (No. 2572014EB05-01)
文摘We developed a scheme based on wood surface novel wood recognition spectral features that aimed to solve three problems. First was elimination of noise in some bands of wood spectral reflection curves. Second was improvement of wood feature selection based on analysis of wood spectral data. The wood spectral band is 350-2500 nm, a 2150D vector with a spectral sampling interval of 1 nm. We developed a feature selection proce- dure and a filtering procedure by solving the eigenvalues of the dispersion matrix. Third, we optimized the design for the indoor radian＇s mounting height. We used a genetic algorithm to solve the optimal radian＇s height so that the spectral reflection curves had the best classification infor- mation for wood species. Experiments on fivecommon wood species in northeast China showed overall recogni- tion accuracy 〉95 % at optimal recognition velocity.
基金supported by National Natural Science Foundation of China(Nos.11005043 and 11105056)
文摘A real time system used to detect phase difference between two sinusoidal signals is proposed in this paper. The system is designed to process the phase signal of the far-infrared （FIR） hydrogen cyanide （HCN） interferometer on J-TEXT. It is based on zero-crossing detection and makes use of the digital circuit. Compared with a traditional zero-crossing phase detector, it doesn＇t need to sacrifice the time resolution to expand the phase range. The phase difference is divided into two parts, the integer part and the fraction part. In each detecting cycle, they are detected separately. It outputs digital signals that are more stable for transmission. A prototype was built on J-TEXT using discrete components. A practical method is proposed to deal with the counting error caused by the deviation of electronic components in manufacture. Reasonable results were obtained on the prototype. The phase resolution reaches 2π/64 in test, and can still be improved by raising the clock frequency.
文摘Objective To compare the phase radians in several cerebral regions between patients with Parkinson’s disease （PD） and control subjects, and to evaluate whether iron deposition quantified by susceptibility-weighted imaging （SWI） is related to the severity of motor symptoms of PD. Methods SWI consisted of both magnitude and phase images from a fully flow-compensated, 3-dimensional and gradient-echo （GRE） sequence. Magnitude and phase data were collected at GE HD 1.5T. The regions evaluated included frontal white matter, grey matter, cerebrospinal fluid, putamen, caudate nucleus （CN）, sub- stantia nigra pars compacta （SNc）, substantia nigra pars reticulata （SNr）, and red nucleus （RN）. A total number of 42 patients （12 patients without cognitive dysfunction, and 30 with cognitive dysfunction from mild to moderate degrees） and 30 control subjects were employed in the present study. Results The phase radians of SNc, CN and RN in PD patients were lower than those in control subjects （P〈0.05）. Conclusion The phase radians can be used to estimate the brain iron deposition in PD patients, which may be helpful in the diagnosis and longitudinal monitoring of PD.
文摘时间序列的近似表示和相似度量是时间序列数据挖掘的重要任务之一,是进行相似匹配的关键。该文针对现有的各种基于分段线性表示(Piecewise Linear Representation,PLR)相似度量方法存在的序列长度依赖和多分辨率条件下的潜在识别误差等缺点,提出了一种序列分段线性弧度表示和基于弧度距离的相似度量方法,实现了序列的快速在线分割和相似度计算。该方法简洁直观,利用分段弧度对分段趋势进行细粒度划分来保留序列主要形态特征,有效地提高了度量结果的准确性和多分辨率条件下的稳定性。该方法具有序列分割算法独立性特点,可用于时间序列的相似查询、模式匹配、分类和聚类。
