公开(公告)号：US20160123944A1

公开(公告)日：2016-05-05

申请号：US14896342

申请日：2013-06-05

申请人： INSTITUTE OF MICROELECTRONICS, CHINESE ACADEMY OF SCIENCES

发明人： Dongmei LI ,  Shuang ZHAN ,  Shengfa LIANG ,  Xin CHEN ,  Changqing XIE ,  Ming LIU

IPC分类号： G01N33/00

CPC分类号： G01N33/0036 ,  G01N27/00 ,  G01N27/12 ,  G01N33/0037

摘要： A method for manufacturing an NO2 gas sensor for detection at room temperature comprises: manufacturing a metal electrode on a surface of a flexible substrate; manufacturing an SWCNTs/SnO2 sensitive film; and bonding the SWCNTs/SnO2 sensitive film with a portion of the surface of the flexible substrate with the metal electrode, so as to form the NO2 gas sensor for detection at room temperature. The present disclosure solves the problems of the poor adhesion between the sensitive material and the flexible substrate, and a non-uniform distribution, and achieves the purposes of secure bonding between the sensitive material and the flexible substrate, and uniform distribution.

摘要翻译： 一种用于在室温下检测的NO 2气体传感器的制造方法包括：在柔性基板的表面上制造金属电极; 制造SWCNTs / SnO2敏感膜; 并将SWCNTs / SnO2敏感膜与柔性基板表面的一部分与金属电极接合，以便形成用于在室温下检测的NO 2气体传感器。 本公开解决了敏感材料与柔性基板之间的粘合性差，分布不均匀的问题，并且实现了敏感材料与柔性基板之间的牢固结合的目的，并且均匀分布。

公开(公告)号：US20150325437A1

公开(公告)日：2015-11-12

申请号：US14801547

申请日：2015-07-16

申请人： Institute of Microelectronics, Chinese Academy of Sciences

发明人： Dongmei LI ,  Xin CHEN ,  Shengfa LIANG ,  Shuang ZHAN ,  Peiwen ZHANG ,  Changqing XIE ,  Ming LIU

IPC分类号： H01L21/02 ,  H01L21/388

CPC分类号： H01L21/02554 ,  C23C8/10 ,  C23C12/00 ,  H01L21/02381 ,  H01L21/0242 ,  H01L21/02581 ,  H01L21/02614 ,  H01L21/02617 ,  H01L21/388

摘要： The present disclosure provides a method for preparing compound semiconductor sensitive film based on a displacement reaction-thermal oxidation method, the method comprising: growing a layer of Zn on a high temperature-resistant substrate; submerging the substrate on which the layer of Zn has been grown into ionic solution of soluble salt of Cu, such that Cu ions in the solution are displaced so as to separate Cu nano-particles out on a surface of the layer of Zn; and performing a thermal oxidation process on the layer of Zn to whose surface Cu nano-particles are adhered, such that the Cu nano-particles are oxidized into CuO nano-particles, so as to obtain a ZnO gas sensitive film that is doped with CuO nano-particles. The above preparing method has the following advantages: good filming quality, simplified preparation process, low cost and easy to control.

摘要翻译： 本发明提供一种基于置换反应 - 热氧化法制备化合物半导体敏感膜的方法，所述方法包括：在耐高温基材上生长Zn层; 将已经生长了Zn层的衬底浸没在Cu的可溶性盐的离子溶液中，使得溶液中的Cu离子移位，以便在Zn层的表面上分离Cu纳米颗粒; 并对其表面附着有Cu纳米粒子的Zn层进行热氧化处理，使Cu纳米粒子被氧化为CuO纳米粒子，得到掺有CuO的ZnO气体敏感膜 纳米颗粒。 上述制备方法具有以下优点：成膜质量好，制备工艺简单，成本低，易于控制。

公开(公告)号：US20150326246A1

公开(公告)日：2015-11-12

申请号：US14805868

申请日：2015-07-22

申请人： Institute of Microelectronics, Chinese Academy of Sciences

发明人： Dongmei LI ,  Xiaojing LI ,  Shengfa LIANG ,  Hao ZHANG ,  Qing LUO ,  Changqing XIE ,  Ming LIU

IPC分类号： H03M7/30

CPC分类号： H03M7/3062 ,  H03M7/30 ,  H04L27/2642

摘要： A method for collecting a signal with a frequency lower than a Nyquist frequency includes, by a data transmitting end, selecting a suitable transformation base matrix for an input signal, deriving a sparse representation of the signal using the transformation base matrix to determine a sparsity of the signal, calculating a number M of compressive sampling operations according to the sparsity, sampling the signal with fNYQ/M using M channels, and integrating sampling values of each channel to obtain M measurement values. A reconstruction end reconstructs an original signal by solving optimization problems. Based on theory, compressive sampling can be performed on a sparse signal or a signal represented in a sparse manner with a frequency much lower than the Nyquist frequency, overcoming restrictions of the typical Nyquist sampling theorem. The method can be implemented simply and decrease pressure on data collection, storage, transmission and processing.

摘要翻译： 收集频率低于奈奎斯特频率的信号的方法包括：通过数据发送端，为输入信号选择合适的变换基矩阵，使用变换基矩阵导出信号的稀疏表示，以确定稀疏度 信号，根据稀疏度计算M个压缩采样操作，使用M个通道对fNYQ / M采样信号，并对每个通道的采样值进行积分以获得M个测量值。 重建结束通过解决优化问题重建原始信号。 基于理论，可以对稀疏信号或以稀疏方式表示的信号执行压缩采样，频率远低于奈奎斯特频率，克服典型奈奎斯特采样定理的限制。 该方法可以简单实现，减少数据收集，存储，传输和处理的压力。

公开(公告)号：US20160123943A1

公开(公告)日：2016-05-05

申请号：US14895915

申请日：2013-06-05

申请人： INSTITUTE OF MICROELECTRONICS, CHINESE ACADEMY OF SCIENCES

发明人： Dongmei LI ,  Hao ZHANG ,  Shengfa LIANG ,  Qing LUO ,  Xiaojing LI ,  Changqing XIE ,  Ming LIU

IPC分类号： G01N33/00

CPC分类号： G01N33/0034 ,  G06N3/084

摘要： A gas recognition method based on a compressive sensing theory. The method comprises: collecting compressed data in an under-sampling manner; performing a reconstruction on the collected compressed data to obtain reconstructed data; training a back-propagation neural network by using the reconstructed data and storing the trained back-propagation neural network; inputting data under test into the trained back-propagation neural network, such that the trained back-propagation neural network performs a recognition on the data under test to realize qualitative recognition of gas. The method solves the problem in transmission and storage of large amount of data and the problem of imprecise recognition in current gas detection, and achieves the object that a precise qualitative recognition is achieved by using a reduced amount of data.

摘要翻译： 一种基于压缩感知理论的气体识别方法。 该方法包括：以低采样方式收集压缩数据; 对所收集的压缩数据进行重构以获得重构数据; 通过使用重构数据训练反向传播神经网络，并存储经过训练的反向传播神经网络; 将被测数据输入到经过训练的反向传播神经网络中，使得经过训练的反向传播神经网络对被测数据进行识别，以实现气体的定性识别。 该方法解决了大量数据的传输和存储问题，以及当前气体检测中不精确识别的问题，达到了通过减少数据量实现精确定性识别的对象。

公开(公告)号：US20160079969A1

公开(公告)日：2016-03-17

申请号：US14888335

申请日：2013-07-15

申请人： INSTITUTE OF MICROELECTRONICS, CHINESE ACADEMY OF SCIENCES

发明人： Dongmei LI ,  Qing LUO ,  Shengfa LIANG ,  Hongzhang YANG ,  Xiaojing LI ,  Hao ZHANG ,  Changqing XIE ,  Ming LIU

IPC分类号： H03K4/08

CPC分类号： H03K4/08 ,  A61B5/00 ,  H03K3/84 ,  H03K4/50

摘要： A sampler adapted to a one-dimension slow-varying signal, including: a signal preprocessing unit configured to preprocess an input signal; a slope-controllable sawtooth wave signal generating unit configured to generate a slope-controllable sawtooth wave signal and perform zero-resetting; a signal comparing unit configured to compare the preprocessed input signal from the signal preprocessing unit with the sawtooth wave signal and to output a pulse signal to the generating unit and a signal outputting unit when the preprocessed input signal is equal to the sawtooth wave signal; a counting unit configured to count a number of clock signals while the sawtooth wave signal generating unit is generating the sawtooth wave signal and to transmit the counted number to the signal outputting unit; the signal outputting unit configured to, upon receipt of the pulse signal output from the signal comparing unit, output the number counted by the counting unit at the moment.

摘要翻译： 一种适于一维慢变信号的采样器，包括：信号预处理单元，被配置为预处理输入信号; 坡度可控锯齿波信号产生单元，其被配置为产生斜率可控锯齿波信号并执行零重置; 信号比较单元，被配置为将来自信号预处理单元的预处理输入信号与锯齿波信号进行比较，并且当预处理输入信号等于锯齿波信号时，向生成单元输出脉冲信号和信号输出单元; 计数单元，被配置为在锯齿波信号生成单元产生锯齿波信号的同时对多个时钟信号进行计数，并将计数的数量发送到信号输出单元; 所述信号输出单元被配置为在接收到从所述信号比较单元输出的脉冲信号时，输出由所述计数单元计数的数量。