The formation of glycohemoglobin, especially the hemoglobin A1c(Hb_(A1c)) fraction, occurs when glucose becomes coupled with the amino acid valine in the β-chain of Hb; this reaction is dependent on the plasma concen...The formation of glycohemoglobin, especially the hemoglobin A1c(Hb_(A1c)) fraction, occurs when glucose becomes coupled with the amino acid valine in the β-chain of Hb; this reaction is dependent on the plasma concentration of glucose. Since the early 1970 s it has been known that diabetics display higher values of Hb_(A1c) because they have elevated blood glucose concentrations. Thus Hb_(A1c) has acquired a very important role in the treatment and diagnosis of diabetes mellitus. After the introduction of the first quantitative measurement of Hb_(A1c), numerous methods for glycohemoglobin have been introduced with different assay principles: From a simple minicolumn technique to the very accurate automated highpressure chromatography and lastly to many automated immunochemical or enzymatic assays. In early days, the results of the quality control reports for Hb_(A1c) varied extensively between laboratories, therefore in United States and Canada working groups(WG) of the Diabetes Controls and Complications Trial(DCCT) were set up to standardize the Hb_(A1c) assays against the DCCT/National Glycohemoglobin Standardization Program reference method based on liquid chromatography. In the 1990 s, the International Federation of Clinical Chemistry and Laboratory Medicine(IFCC) appointed a new WG to plan a reference preparation and method for the Hb_(A1c) measurement. When the reference procedureswere established, in 2004 IFCC recommended that all manufacturers for equipment used in Hb_(A1c) assays should calibrate their methods to their proposals. This led to an improvement in the coefficient of variation(CV%) associated with the assay. In this review, we describe the glycation of Hb, methods, standardization of the Hb_(A1c) assays, analytical problems, problems with the units in which Hb_(A1c) values are expressed, reference values, quality control aspects, target requirements for Hb_(A1c), and the relationship of the plasma glucose values to Hb_(A1c) concentrations. We also note that the acceptance of the mmol/mol sy展开更多
Target tracking is one of the most important applications of wireless sensor networks. Optimized computation and energy dissipation are critical requirements to save the limited resource of sensor nodes. A new robust ...Target tracking is one of the most important applications of wireless sensor networks. Optimized computation and energy dissipation are critical requirements to save the limited resource of sensor nodes. A new robust and energy-efficient collaborative target tracking framework is proposed in this article. After a target is detected, only one active cluster is responsible for the tracking task at each time step. The tracking algorithm is distributed by passing the sensing and computation operations from one cluster to another. An event-driven cluster reforming scheme is also proposed for balancing energy consumption among nodes. Observations from three cluster members are chosen and a new class of particle filter termed cost-reference particle filter （CRPF） is introduced to estimate the target motion at the cluster head. This CRPF method is quite robust for wireless sensor network tracking applications because it drops the strong assumptions of knowing the probability distributions of the system process and observation noises. In simulation experiments, the performance of the proposed collaborative target tracking algorithm is evaluated by the metrics of tracking precision and network energy consumption.展开更多
Based on the coded and non-coded targets, the targets are extracted from the images according to their size, shape and intensity etc., and thus an improved method to identify the unique identity（D） of every coded ta...Based on the coded and non-coded targets, the targets are extracted from the images according to their size, shape and intensity etc., and thus an improved method to identify the unique identity（D） of every coded target is put forward and the non-coded and coded targets are classified. Moreover, the gray scale centroid algorithm is applied to obtain the subpixel location of both uncoded and coded targets. The initial matching of the uncoded target correspondences between an image pair is established according to similarity and compatibility, which are based on the ID correspondences of the coded targets. The outliers in the initial matching of the uncoded target are eliminated according to three rules to finally obtain the uncoded target correspondences. Practical examples show that the algorithm is rapid, robust and is of high precision and matching ratio.展开更多
无源角反射器和有源定标器是SAR辐射定标的常用人造参考点目标,随着大量新体制、新模式高分辨率SAR系统的涌现,大距离带宽和宽方位波束都对传统观念中参考目标雷达截面积(RCS)近似恒定的假设提出挑战。该文借助FEKO电磁仿真软件获取目标...无源角反射器和有源定标器是SAR辐射定标的常用人造参考点目标,随着大量新体制、新模式高分辨率SAR系统的涌现,大距离带宽和宽方位波束都对传统观念中参考目标雷达截面积(RCS)近似恒定的假设提出挑战。该文借助FEKO电磁仿真软件获取目标RCS随频带和方位角的变化关系,结合高分辨率SAR点目标仿真,通过点目标能量提取,定量地分析参考目标RCS的频带或方位角相关性对辐射定标的影响。仿真结果表明在Ku波段相对带宽超过10%或方位波束宽度超过20°时,上述因素带来的影响超过0.2 d B,必须在实际数据处理中加以校正。展开更多
文摘The formation of glycohemoglobin, especially the hemoglobin A1c(Hb_(A1c)) fraction, occurs when glucose becomes coupled with the amino acid valine in the β-chain of Hb; this reaction is dependent on the plasma concentration of glucose. Since the early 1970 s it has been known that diabetics display higher values of Hb_(A1c) because they have elevated blood glucose concentrations. Thus Hb_(A1c) has acquired a very important role in the treatment and diagnosis of diabetes mellitus. After the introduction of the first quantitative measurement of Hb_(A1c), numerous methods for glycohemoglobin have been introduced with different assay principles: From a simple minicolumn technique to the very accurate automated highpressure chromatography and lastly to many automated immunochemical or enzymatic assays. In early days, the results of the quality control reports for Hb_(A1c) varied extensively between laboratories, therefore in United States and Canada working groups(WG) of the Diabetes Controls and Complications Trial(DCCT) were set up to standardize the Hb_(A1c) assays against the DCCT/National Glycohemoglobin Standardization Program reference method based on liquid chromatography. In the 1990 s, the International Federation of Clinical Chemistry and Laboratory Medicine(IFCC) appointed a new WG to plan a reference preparation and method for the Hb_(A1c) measurement. When the reference procedureswere established, in 2004 IFCC recommended that all manufacturers for equipment used in Hb_(A1c) assays should calibrate their methods to their proposals. This led to an improvement in the coefficient of variation(CV%) associated with the assay. In this review, we describe the glycation of Hb, methods, standardization of the Hb_(A1c) assays, analytical problems, problems with the units in which Hb_(A1c) values are expressed, reference values, quality control aspects, target requirements for Hb_(A1c), and the relationship of the plasma glucose values to Hb_(A1c) concentrations. We also note that the acceptance of the mmol/mol sy
基金supported by the Hi-Tech Research and Development Program of China (2006AA01Z216).
文摘Target tracking is one of the most important applications of wireless sensor networks. Optimized computation and energy dissipation are critical requirements to save the limited resource of sensor nodes. A new robust and energy-efficient collaborative target tracking framework is proposed in this article. After a target is detected, only one active cluster is responsible for the tracking task at each time step. The tracking algorithm is distributed by passing the sensing and computation operations from one cluster to another. An event-driven cluster reforming scheme is also proposed for balancing energy consumption among nodes. Observations from three cluster members are chosen and a new class of particle filter termed cost-reference particle filter （CRPF） is introduced to estimate the target motion at the cluster head. This CRPF method is quite robust for wireless sensor network tracking applications because it drops the strong assumptions of knowing the probability distributions of the system process and observation noises. In simulation experiments, the performance of the proposed collaborative target tracking algorithm is evaluated by the metrics of tracking precision and network energy consumption.
基金The National Natural Science Foundation of China(No50475041)
文摘Based on the coded and non-coded targets, the targets are extracted from the images according to their size, shape and intensity etc., and thus an improved method to identify the unique identity（D） of every coded target is put forward and the non-coded and coded targets are classified. Moreover, the gray scale centroid algorithm is applied to obtain the subpixel location of both uncoded and coded targets. The initial matching of the uncoded target correspondences between an image pair is established according to similarity and compatibility, which are based on the ID correspondences of the coded targets. The outliers in the initial matching of the uncoded target are eliminated according to three rules to finally obtain the uncoded target correspondences. Practical examples show that the algorithm is rapid, robust and is of high precision and matching ratio.
文摘无源角反射器和有源定标器是SAR辐射定标的常用人造参考点目标,随着大量新体制、新模式高分辨率SAR系统的涌现,大距离带宽和宽方位波束都对传统观念中参考目标雷达截面积(RCS)近似恒定的假设提出挑战。该文借助FEKO电磁仿真软件获取目标RCS随频带和方位角的变化关系,结合高分辨率SAR点目标仿真,通过点目标能量提取,定量地分析参考目标RCS的频带或方位角相关性对辐射定标的影响。仿真结果表明在Ku波段相对带宽超过10%或方位波束宽度超过20°时,上述因素带来的影响超过0.2 d B,必须在实际数据处理中加以校正。
