ID 原文 译文
53457 设计了一种集成温度传感器的无源超高频射频识别（UHF RFID）标签芯片。 A design of UHF RFID tag embedded with temperature sensor is proposed in this paper.
53458 通过采用阈值补偿及分级供电的方式，有效的提高了能量转化电路的效率; Through the methods of threshold compensation and power-supply with classification, power conversion efficiency has been greatly improved.
53459 通过采用正负两种温度系数电流求和的电路结构，得到近似零温度系数的参考电流。 And a reference current with almost zero-temperature coefficient is obtained by means of mixture of two kinds of currents with passive-temperature coefficient and negative one respectively.
53460 采用固定频率时钟驱动的计数器对源自振荡周期随温度变化时钟的信号采样计数的方式计算测量环境温度， Sampling circuit driven by fixed frequency clock calculates the sampling value of signals from the clock whose frequency varies with temperature, and thus gets the environmental temperature.
53461 由于两个振荡器电路完全对称，从而避免了工艺因素的影响。 For the reason of the oscillators with the same structure, it can eliminate the influence of the technical process.
53462 芯片在 TSMC 0. 18μm Mix-signal/RFCMOS 工艺进行流片，测试结果显示，芯片最远识读距离达到 7. 5 米，在-40℃~+55℃温度范围内，温度测量误差最大不超过 2℃。 The design has been implemented in TSMC 0. 18um Mix-signal/RFCMOS process. Test results show that the maximum read distance is up to 7. 5m and the error of measured temperature is less than 2℃ in the range of -400C~+550C
53463 提出一种面向 3D 视频的目标分割与快速跟踪算法，主要分为空域分割和时域与视域跟踪两个主要步骤。 A new algorithm for object segmentation and fast tracking in 3D video is proposed which mainly consists of two steps: spatial segmentation and object tracking along temporal and view directions.
53464 空域分割采用基于改进 C-V 模型的方法。 Spatial segmentation is implemented based on an improved C-V model.
53465 首先基于帧差法提取运动区域作为目标的初始轮廓，以减少迭代次数加快收敛速度。 Firstly, moving regions are detected based on frame difference and the results are used as initial contours of C-V model aiming to reduce the iteration times and accelerate the convergence rate.
53466 然后在传统的 C-V 模型中加入图像边缘信息以加强 C-V 模型对模糊边缘的处理能力，提高分割结果的主管视觉效果。 Secondly, an energy term is added into the original C-V model to enhance its ability to process blur edges and therefore to improve the subjective visual effect of the overall segmentation results.