基于CNTs/PDMS介电层的柔性压力传感特性研究

提出一种基于MEMS工艺的柔性压力传感器制备方法.采用MEMS工艺制备柔性压力传感器模板,结合纳米压印技术、射频磁控溅射技术和PDMS软光刻工艺在PDMS柔性基底上制备了具有"V"型阵列微结构的Ag薄膜平行板电极,基于碳纳米管(CNTs)/PDMS聚合物的压电容特性,制备出电容式柔性压力传感器.针对不同尺寸的压力传感器进行对比测试,本文制作的压力传感器的灵敏度能够达到3.98% kPa-1,具有良好的重复性,在智能穿戴和电子皮肤等方面有着广阔的应用前景.     

用于低温环境的铂电阻温度微传感器

目前,铂电阻温度传感器主要应用于73 K(-200℃)以上环境的温度检测。设计了可用于10 K(-263℃)～200 K(-73℃)低温区的铂电阻温度微传感器。铂电阻温度微传感器采用对称的折回型结构,这种结构有效地降低了交流感抗的影响。传感器的敏感薄膜是一层采用磁控直流溅射沉积厚度为200 nm的铂薄膜。采用QD PPMS仪器测试传感器的电阻与温度的变化关系,得出传感器的电阻温度系数(TCR):研制的温度传感器的电阻温度系数在温度高于30K(-243℃)时可达到9980×10-6/K,同时在低于30K(-243℃)的深低温区域TCR也可达到3730×10-6/K。     

片上温漂补偿的压阻式压力芯片的设计与制造

为解决硅压阻式压力芯片灵敏度随着温度变化发生漂移的问题,设计了一种在片上集成温度补偿结构的压力芯片。在压力芯片上制备电阻温度系数(TCR)为负数的多晶硅电阻用于分压,调整不同温度下的惠斯通电桥端电压以达到灵敏度补偿的效果。本文的研究包含理论分析、参数计算,并进行了芯片制备和性能测试。性能测试结果表明,补偿后的耐高温封装传感器芯片在-50℃～270℃区间内,温漂为-0.034%FS/℃,简易封装传感器芯片在-40℃～125℃区间内的温漂为-0.008%FS/℃,该补偿芯片的温漂远小于无补偿的压力芯片。     

基于双层微结构的碳纳米管柔性应变传感器的研究

设计了一种具有双层微结构的柔性压阻式应变传感器,并进行了制备方法研究。通过在半固化的环氧树脂基底(Ecoflex~? 00-30)表面制备形成碳纳米管(MCNTs)/环氧树脂(Ecoflex~? 00-30)复合薄膜,用毛刷制备微结构。通过测试分析可得,该柔性应变传感器具有高度可拉伸性能,可承受200%的应变,在0～80%,80%～170%,170%～195%的应变区间,GF值分别为10.5,40.5,190.5。将传感器进行可穿戴运动监测测试,可验证本传感器既可以实现手指和手腕运动等大动作应变的监测,输出电阻值相对变化达到7.5倍;也可以监测肌肉形变弯曲等小应变,输出电阻值相对变化达到1.4倍。     

基于FOA- LSSVM算法的扩散硅压阻式压力传感器温度补偿

扩散硅压阻式压力传感器具有精度高、灵敏度高、动态响应快等优点,但是存在严重的温度漂移现象,因此必须对其进行温度补偿。针对扩散硅压阻式压力传感器的温度漂移现象,设计了一种基于果蝇算法优化最小二乘支持向量机(FOA-LSSVM)算法的温度补偿模型。首先,运用MPX10扩散硅压阻式压力传感器和LM35温度传感器,进行压力和温度的二维标定试验。然后,利用果蝇优化算法(FOA)自动寻优的优点,解决了最小二乘支持向量机(LSSVM)手动选取参数的问题,从而提高了算法的效率和补偿精度。试验证明,运用FOA-LSSVM算法对扩散硅压阻式压力进行温度补偿,零位温度系数(α_0)和灵敏度温度系数(α_s)均提高了一个数量级,达到了对该传感器温度补偿的目的。     

NiCr薄膜微加热器在低温环境下的电学特性研究

设计了一种适用于深低温环境的微型加热器。使用AC磁控溅射技术将NiCr(80/20 at.%)合金沉积到SiO2/Si基底上,并采用微加工工艺实现薄膜图形化,作为加热器的加热元件。研究了NiCr薄膜的电学性能和晶体结构与退火条件之间的关系。实验表明:在450℃氮气环境下退火30min,可以获得深低温性能优良的NiCr加热器。该加热器在20K时的电阻温度系数(TCR)为80.80×10-6/K。X射线衍射(XRD)分析显示NiCr薄膜在450℃氮气环境下退火后,薄膜的结晶度增大,因此,退火条件对薄膜的电阻率和电阻温度系数有较大的影响。     

光纤位移传感器温度补偿的研究

为了减小温度漂移对光纤位移传感器测量精度的影响,采用基于粒子群算法优化最小二乘支持向量机(PSO-LSSVM)的模型对该传感器进行温度补偿。通过对光纤位移传感器做二维标定试验,利用LM35温度传感器获取试验环境温度数据,建立了PSO-LSSVM温度补偿模型。该模型的核心思想是利用粒子群优化(PSO)算法对最小二乘支持向量机(LSSVM)算法中的惩罚因子C和核函数参数δ不断地进行优化选择,直至适应度函数值达到预期要求,此时温度补偿达到最优效果。比较温度补偿前后的数据,零位温度系数从9.78×10~(-3)/℃提升到2.07×10~(-3)/℃;灵敏度温度系数从7.47×10~(-3)/℃提升到1.51×10~(-3)/℃。PSO-LSSVM模型能够有效地实现对光纤位移传感器的温度补偿。对光纤位移传感器进行温度补偿的研究,将对使用该传感器进行测量的领域产生积极的影响。     

中国微米纳米-微纳结构对电容式柔性压力传感器性能影响的研究

设计制备出三明治结构的电容式柔性压力传感器,并对其性能进行研究.该传感器以银纳米线为电极材料,聚二甲基硅氧烷(PDMS)为柔性衬底,同时采用毛面玻璃和光面玻璃分别作为柔性衬底的制备模板,制备出微纳结构和平面结构的PDMS薄膜.然后采用喷涂法制备AgNWs/PDMS复合电极,以另外一层PDMS为介电层,将两电极面对面封装,得到电容式柔性压力传感器,最后系统研究了传感器的电极微纳结构对器件性能的影响.本文研究表明,具有微纳结构的AgNWs/PDMS复合薄膜传感器的灵敏度为1.0 kPa-1,而平面结构的AgNWs/PDMS复合薄膜传感器的灵敏度为0.6 kPa-1,由此可知具有微纳结构的柔性衬底能够显著提高器件的灵敏度.     

基于GA-WNN模型的差动螺管电感式位移传感器的温度补偿

针对差动螺管式电感位移传感器温度漂移的问题,提出了一种遗传优化小波神经网络(GA-WNN)算法的温度补偿模型。用差动螺管式电感位移传感器的位移和温度的二维标定试验数据,建立GA-WNN模型。该模型利用遗传算法对小波神经网络的参数进行全局优化,克服了小波神经网络易陷入局部最优解的不足。试验结果表明,优化后的零点温度系数提高了2个数量级,灵敏度温度系数提高了1个数量级,实现了对传感器的温度补偿。     

霍尔效应式位移传感器的温度补偿

针对霍尔位移传感器温度漂移的问题,提出了一种基于粒子群优化算法与遗传算法优化最小二乘支持向量机(PSO-GA-LSSVM)的温度补偿新模型。该模型利用粒子群优化算法对最小二乘支持向量机中的惩罚因子和核函数进行优化选取,提高了模型的训练速度与准确度;并引入遗传算法中的变异思想,拓展模型的群搜索空间,提高了寻取更优值的概率。研究结果表明,补偿后该传感器的零位温度系数由1.25×10^-2/℃减小到6.33×10^-4/℃,其灵敏度系数由4.55×10^-3/℃减小到4.22×10^-4/℃,均提升了一个数量级,实现了对该传感器的温度补偿。     

Forest carbon densities and uncertainties from Lidar, QuickBird, and field measurements in California

Greenhouse gas inventories and emissions reduction programs require robust methods to quantify carbon sequestration in forests. We compare forest carbon estimates from Light Detection and Ranging (Lidar) data and QuickBird high-resolution satellite images, calibrated and validated by field measurements of individual trees. We conducted the tests at two sites in California: (1) 59 km² of secondary and old-growth coast redwood (Sequoia sempervirens) forest (Garcia-Mailliard area) and (2) 58 km² of old-growth Sierra Nevada forest (North Yuba area). Regression of aboveground live tree carbon density, calculated from field measurements, against Lidar height metrics and against QuickBird-derived tree crown diameter generated equations of carbon density as a function of the remote sensing parameters. Employing Monte Carlo methods, we quantified uncertainties of forest carbon estimates from uncertainties in field measurements, remote sensing accuracy, biomass regression equations, and spatial autocorrelation. Validation of QuickBird crown diameters against field measurements of the same trees showed significant correlation (r = 0.82, P < 0.05). Comparison of stand-level Lidar height metrics with field-derived Lorey's mean height showed significant correlation (Garcia-Mailliard r = 0.94, P < 0.0001; North Yuba R = 0.89, P < 0.0001). Field measurements of five aboveground carbon pools (live trees, dead trees, shrubs, coarse woody debris, and litter) yielded aboveground carbon densities (mean ± standard error without Monte Carlo) as high as 320 ± 35 Mg ha^− 1 (old-growth coast redwood) and 510 ± 120 Mg ha^− 1 (red fir [Abies magnifica] forest), as great or greater than tropical rainforest. Lidar and QuickBird detected aboveground carbon in live trees, 70-97% of the total. Large sample sizes in the Monte Carlo analyses of remote sensing data generated low estimates of uncertainty. Lidar showed lower uncertainty and higher accuracy than QuickBird, due to high correlation of biomass to height and undercounting of trees by the crown detection algorithm. Lidar achieved uncertainties of < 1%, providing estimates of aboveground live tree carbon density (mean ± 95% confidence interval with Monte Carlo) of 82 ± 0.7 Mg ha^− 1 in Garcia-Mailliard and 140 ± 0.9 Mg ha^− 1 in North Yuba. The method that we tested, combining field measurements, Lidar, and Monte Carlo, can produce robust wall-to-wall spatial data on forest carbon.     

A technique for monitoring SO2 in combustion exhausts: Use of a non-Nernstian sensing element in combination with an upstream catalytic filter

Detection of sulfur dioxide (SO₂) at high temperature (600–750 °C) in the presence of some interferents found in combustion exhausts (NO₂, NO, CO₂, CO, and hydrocarbon (C₃H₆)) is described. The detection scheme involves use of a catalytic filter in front of a non-Nernstian (mixed-potential) sensing element. The catalytic filter was a Ni:Cr powder bed operating at 850 °C, and the sensing elements were pairs of platinum (Pt) and oxide (Ba-promoted copper chromite ((Ba,Cu)_xCr_yO_z) or Sr-modified lanthanum ferrite (LSF)) electrodes on yttria-stabilized zirconia. The Ni:Cr powder bed was capable of reducing the sensing element response to NO₂, NO, CO, and C₃H₆, but the presence of NO₂ or NO (“NO_x”, at 100 ppm by volume) still interfered with the SO₂ response of the Pt–(Ba,Cu)_xCr_yO_z sensing element at 600 °C, causing approximately a 7 mV (20%) reduction in the response to 120 ppm SO₂ and a response equivalent to about 20 ppm SO₂ in the absence of SO₂. The Pt–LSF sensing element, operated at 750 °C, did not suffer from this NO_x interference but at the cost of a reduced SO₂ response magnitude (120 ppm SO₂ yielded 10 mV, in contrast to 30 mV for the Pt-(Ba,Cu)_xCr_yO_z sensing element). The powder bed and Pt–LSF sensing element were operated continuously over approximately 350 h, and the response to SO₂ drifted downward by about 7%, with most of this change occurring during the initial 100 h of operation.     

First-principles calculations of binary Al compounds: Enthalpies of formation and elastic properties

Systematic first-principles calculations of energy vs. volume (E-V) and single crystal elastic stiffness constants (c_ij’s) have been performed for 50 Al binary compounds in the Al-X (X = Co, Cu, Hf, Mg, Mn, Ni, Sr, V, Ti, Y, and Zr) systems. The E-V equations of state are fitted by a four-parameter Birch-Murnaghan equation, and the c_ij’s are determined by an efficient strain-stress method. The calculated lattice parameters, enthalpies of formation, and c_ij’s of these binary compounds are compared with the available experimental data in the literature. In addition, elastic properties of polycrystalline aggregates including bulk modulus (B), shear modulus (G), Young’s modulus (E), B/G (bulk/shear) ratio, and anisotropy ratio are calculated and compared with the experimental and theoretical results available in the literature. The systematic predictions of elastic properties and enthalpies of formation for Al-X compounds provide an insight into the understanding and design of Al-based alloys.     

Influence of doping BiYO3 and Nb2O5 on PTCR characteristics of BaTiO3 thermistor ceramics

Nb₂O₅-doped (1 − x)Ba_0.96Ca_0.04TiO₃-xBiYO₃ (where x = 0.01, 0.02, 0.03 and 0.04) lead-free PTC thermistor ceramics were prepared by a conventional solid state reaction method. X-ray diffraction, scanning electron microscope, Agilent E4980A and resistivity-temperature measurement instrument, were used to characteristic the lattice distortion, microstructure, temperature dependence of permittivity and resitivity-temperature dependence. It was revealed that the tetragonality c/a of the perovskite lattice, the microstructure and the Curie temperature changed with the BiYO₃ content. In order to decrease the room temperature resistivity, the effect of Nb₂O₅ on the room temperature resistivity was also studied, and its optimal doping content was finally chosen as 0.2 mol%. The 0.97Ba_0.96Ca_0.04TiO₃-0.03BiYO₃-0.002Nb₂O₅ thermistor ceramic exhibited a low ρ_RT of 3.98 × 10³ Ω cm, a typical PTCR effect of ρ_max/ρ_min > 10³ and a T_c of 153 °C.     

Restricted arc-connectivity of digraphs

Since interconnection networks are often modeled by graphs or digraphs, the edge-connectivity of a graph or arc-connectivity of a digraph are important measurements for fault tolerance of networks.The restricted edge-connectivity λ^′(G) of a graph G is the minimum cardinality over all edge-cuts S in a graph G such that there are no isolated vertices in G−S. A connected graph G is called λ^′-connected, if λ^′(G) exists.In 1988, Esfahanian and Hakimi [A.H. Esfahanian, S.L. Hakimi, On computing a conditional edge-connectivity of a graph, Inform. Process. Lett. 27 (1988), 195-199] have shown that each connected graph G of order n?4, except a star, is λ^′-connected and satisfies λ^′(G)?ξ(G), where ξ(G) is the minimum edge-degree of G.If D is a strongly connected digraph, then we call in this paper an arc set S a restricted arc-cut of D if D−S has a non-trivial strong component D₁ such that D−V(D₁) contains an arc. The restricted arc-connectivity λ^′(D) is the minimum cardinality over all restricted arc-cuts S.We observe that the recognition problem, whether λ^′(D) exists for a strongly connected digraph D is solvable in polynomial time. Furthermore, we present some analogous results to the above mentioned theorem of Esfahanian and Hakimi for digraphs, and we show that this theorem follows easily from one of our results.     

Estimating Siberian timber volume using MODIS and ICESat/GLAS

Geosciences Laser Altimeter System (GLAS) space LiDAR data are used to attribute a MODerate resolution Imaging Spectrometer (MODIS) 500 m land cover classification of a 10° latitude by 12° longitude study area in south-central Siberia. Timber volume estimates are generated for 16 forest classes, i.e., four forest cover types × four canopy density classes, across this 811,414 km² area and compared with a ground-based regional volume estimate. Two regional GLAS/MODIS timber volume products, one considering only those pulses falling on slopes ≤ 10° and one utilizing all GLAS pulses regardless of slope, are generated. Using a two-phase(GLAS-ground plot) sampling design, GLAS/MODIS volumes average 163.4 ± 11.8 m³/ha across all 16 forest classes based on GLAS pulses on slopes ≤ 10° and 171.9 ± 12.4 m³/ha considering GLAS shots on all slopes. The increase in regional GLAS volume per-hectare estimates as a function of increasing slope most likely illustrate the effects of vertical waveform expansion due to the convolution of topography with the forest canopy response. A comparable, independent, ground-based estimate is 146 m³/ha [Shepashenko, D., Shvidenko, A., and Nilsson, S. (1998). Phytomass (live biomass) and carbon of Siberian forests. Biomass and Bioenergy, 14, 21-31], a difference of 11.9% and 17.7% for GLAS shots on slopes ≤ 10° and all GLAS shots regardless of slope, respectively. A ground-based estimate of total volume for the entire study area, 7.46 × 10⁹ m³, is derived using Shepashenko et al.'s per-hectare volume estimate in conjunction with forest area derived from a 1990 forest map [Grasia, M.G. (ed.). (1990). Forest Map of USSR. Soyuzgiproleskhoz, Moscow, RU. Scale: 1:2,500,000]. The comparable GLAS/MODIS estimate is 7.38 × 10⁹ m³, a difference of less than 1.1%. Results indicate that GLAS data can be used to attribute digital land cover maps to estimate forest resources over subcontinental areas encompassing hundreds of thousands of square kilometers.     

d-Dimensional Range Search on Multicomputers

The range tree is a fundamental data structure for multidimensional point sets, and, as such, is central in a wide range of geometric and database applications. In this paper we describe the first nontrivial adaptation of range trees to the parallel distributed memory setting (BSP-like models). Given a set of n points in d -dimensional Cartesian space, we show how to construct on a coarse-grained multicomputer a distributed range tree T in time O( s / p + T _c (s,p)) , where s = n log ^d-1 n is the size of the sequential data structure and T _c (s,p) is the time to perform an h -relation with h=Θ (s/p) . We then show how T can be used to answer a given set Q of m=O(n) range queries in time O((s log m)/p + T _c (s,p)) and O((s log m)/p + T _c (s,p) + k/p) , where k is the number of results to be reported. These parallel construction and search algorithms are both highly efficient, in that their running times are the sequential time divided by the number of processors, plus a constant number of parallel communication rounds. Received June 1, 1997; revised March 10, 1998.     

Connected sum of digital closed surfaces

During the past 20 years the research of digital surfaces has proceeded to find their properties in the digital space Zⁿ, such as a topological number, a simple k-point, the 3D-Jordan theorem, a k-separating set, a boundary detecting algorithm and so on. Actually, unlike surfaces in a continuous space, the features of digital surfaces have different characteristics. The aim of this paper is to introduce the notion of a digital closed k-surface in Zⁿ, n ? 3, with the general k-adjacency relations as a generalization of Malgouyres’ and Morgenthaler’s k-surfaces in Z³, to establish some minimal simple closed k-surfaces in Z³ and to find their digital topological properties in relation with the k-fundamental group and k-contractibility. Moreover, a connected sum of two digital closed surfaces is introduced and its digital topological properties are investigated.     

Synthesis and photoluminescent properties of orange-emitting Sm3+-activated KPb4(PO4)3 phosphor for LEDs

A series of Sm³⁺-doped KPb₄(PO₄)₃ phosphors have been successfully synthesized by high-temperature solid-state reaction method, and the structure, morphology and luminescent properties were investigated. The SEM images suggest that the prepared phosphor has an irregular morphology with a diameter of about 10 ~ 20 μm. Under near-ultraviolet (NUV) light (404 nm) excitation, all prepared phosphors KPb_4-xSm_xP₃O₁₂ (x = 0, 0.02, 0.04, 0.06, 0.08, 0.1, 0.15, 0.2, 0.3, 0.4 and 0.5) show the characteristic f → f emission bands of the Sm³⁺ activator. And the emission intensities have an upward trend with increasing the Sm³⁺ concentration when x is lower than 0.1. By monitoring 598 nm emission, the excitation spectrum of KPb_3.9Sm_0.1(PO₄)₃ contains a series of sharp bands in the range of 250 ~ 500 nm, which matches well with the NUV LED chip. The CIE coordinates of KPb_3.9Sm_0.1(PO₄)₃ phosphor was evaluated to be (0.5714, 0.4253), corresponding to orange color with a high color purity of about 90%.