Piezoelectric sounding body and electronic device
    1.
    发明申请
    Piezoelectric sounding body and electronic device 审中-公开
    压电式发声体和电子装置

    公开(公告)号:US20060158064A1

    公开(公告)日:2006-07-20

    申请号:US11291739

    申请日:2005-12-01

    IPC分类号: H01L41/08

    摘要: An enclosure of a cellular phone is formed with a plurality of sound releasing holes. The inside of a portion where the sound releasing holes are provided defines an air chamber formed with a receiving portion for mounting a piezoelectric sounding element. The piezoelectric sounding element is of bimorph structure formed by adhering piezoelectric elements on both surfaces of a diaphragm, and serves as a speaker by hermetically fixing a peripheral edge of the diaphragm to the receiving portion. Acoustic characteristics of such a piezoelectric sounding body relates to the total sum S of side surface areas of the sound releasing holes. Therefore, by setting the total sum to a value from 1.5 mm to 60 mm2, variations in resonant frequency and lowering of the sound pressure are prevented, and hence the required acoustic characteristics can be secured while realizing reduction of the thickness of the wall of the enclosure.

    摘要翻译: 蜂窝电话的外壳形成有多个声音释放孔。 设置有声音释放孔的部分的内部限定了形成有用于安装压电发声元件的接收部分的空气室。 压电探测元件是通过将隔膜的两个表面上的压电元件粘合而形成的双压电晶片结构,并且通过将隔膜的周边缘气密地固定到接收部分而用作扬声器。 这种压电发声体的声学特性与声音释放孔的侧面积的总和S有关。 因此,通过将总和设定为1.5mm至60mm 2的值,可以防止谐振频率的变化和声压的降低,从而可以确保所需的声学特性,同时实现减小 的外壳壁厚。

    Neuro-fuzzy-integrated data processing system
    2.
    发明授权
    Neuro-fuzzy-integrated data processing system 失效
    神经模糊综合数据处理系统

    公开(公告)号:US5875284A

    公开(公告)日:1999-02-23

    申请号:US773576

    申请日:1992-06-09

    IPC分类号: G06N3/04 G06N7/04 G06F15/18

    CPC分类号: G06N3/0436 G06N7/046

    摘要: The present invention relates to a data processing system in a hierarchical network configuration for executing applicable data processes in a comprehensible and executable form. The present invention allows data processing capabilities to be established with high precision in a short time based on a fuzzy-neuro-integrated concept. A fuzzy model is generated by a data processing system in the form of membership functions and fuzzy rules as technical information relating to a control target. According to this fuzzy model, a weight value of the connection between neurons is set and a pre-wired neural network is established. Then, the data of the control target are learned by the neural network. The connection state and a weight value of the neural network after the learning enable tuning of the fuzzy model.

    摘要翻译: PCT No.PCT / JP91 / 00334 Sec。 371日期:1992年6月9日 102(e)日期1992年6月9日PCT 1991年3月12日PCT公布。 出版物WO91 / 14226 日期1991年9月19日本发明涉及分层网络配置中的数据处理系统,用于以可理解和可执行的形式执行适用的数据处理。 本发明允许基于模糊神经综合概念在短时间内以高精度建立数据处理能力。 以隶属函数和模糊规则的形式由数据处理系统生成模糊模型作为与控制目标相关的技术信息。 根据该模糊模型,设置神经元之间的连接的权重值,建立预接线神经网络。 然后,通过神经网络学习控制目标的数据。 连接状态和神经网络的权重值在学习后能够调整模糊模型。

    Force-detecting apparatus
    3.
    发明授权
    Force-detecting apparatus 失效
    力检测装置

    公开(公告)号:US4762006A

    公开(公告)日:1988-08-09

    申请号:US779640

    申请日:1985-09-24

    摘要: A force-detecting apparatus includes an elastic member deformable symmetrically with respect to the center. First displacement-detecting means, detect displacements of the elastic member, at positions symmetric with respect to the center, in the same direction with respect to an axis passing through the center of the elastic member, and second displacement-detecting means detect displacements of the elastic member, at the positions symmetric with respect to the center, in opposite directions with respect to an axis passing through the center of the elastic member.

    摘要翻译: 力检测装置包括相对于中心对称地变形的弹性构件。 第一位移检测装置,在相对于穿过弹性构件的中心的轴线的相同方向上检测弹性构件在相对于中心对称的位置处的位移,第二位移检测装置检测位移检测装置 弹性构件相对于穿过弹性构件的中心的轴线在相对于中心对称的位置处。

    Process for preparation of methanol
    4.
    发明授权
    Process for preparation of methanol 失效
    甲醇制备方法

    公开(公告)号:US4507403A

    公开(公告)日:1985-03-26

    申请号:US529653

    申请日:1983-09-06

    申请人: Kazuo Asakawa

    发明人: Kazuo Asakawa

    摘要: In a process for preparing methanol which comprises reacting a gaseous mixture containing hydrogen and either one or both of carbon monoxide and carbon dioxide in the gaseous phase in the presence of a catalyst, the improvement wherein said catalyst comprises(A) a substantially catalytically inert carrier, and(B) supported thereon, from 0.005 to 1 g in total, per gram of the carrier, of catalyst components comprising (i) a copper component, (ii) a zinc component, and optionally (iii) at least one metal component selected from aluminum, chromium, vanadium, magnesium and manganese.

    摘要翻译: 在制备甲醇的方法中,其包括在催化剂存在下使含有氢气和一氧化碳和二氧化碳中的一种或两种的气态混合物在气相中反应,其中所述催化剂包含(A)基本上催化惰性的载体 ,和(B),每克载体总计0.005至1g催化剂组分,其包含(i)铜组分,(ii)锌组分和任选地(iii)至少一种金属组分 选自铝,铬,钒,镁和锰。

    Preparation of improved catalyst composition
    5.
    发明授权
    Preparation of improved catalyst composition 失效
    改进的催化剂组合物的制备

    公开(公告)号:US4305842A

    公开(公告)日:1981-12-15

    申请号:US119778

    申请日:1980-02-08

    摘要: A process for preparing a catalyst composition containing a copper oxide, a zinc oxide and an aluminum oxide as essential components and, if desired, containing a boron oxide, which comprises the following steps:(a) a step of precipitating from an aqueous solution of a water-soluble copper salt, which solution, if desired, may contain a water-soluble boron compound, a copper component, together with a boron component if the boron compound is present, with the use of ammonium carbonate or ammonium bicarbonate as a precipitant;(b) a step of precipitating from an aqueous solution of a water-soluble zinc salt, which solution, if desired, may contain a water-soluble boron compound, a copper component, together with a boron component if the boron compound is present, with the use of an alkali hydroxide as a precipitant; and(c) a step of calcing a mixture of the precipitates obtained in the steps (a) and (b) in the presence of an alumina precursor compound.The catalyst thus obtained is useful in synthesizing methanol from a mixed gas comprising carbon monoxide and/or carbon dioxide and hydrogen.

    摘要翻译: 一种制备含有氧化铜,氧化锌和氧化铝作为必要组分的催化剂组合物的方法,以及如果需要,含有氧化硼,其包括以下步骤:(a)从水溶液中沉淀 如果需要,该溶液可以含有水溶性硼化合物,铜组分,如果存在硼化合物则与硼组分一起使用,使用碳酸铵或碳酸氢铵作为沉淀剂 ; (b)从水溶性锌盐的水溶液中析出的步骤,如果需要,该溶液可以含有水溶性硼化合物,铜成分以及含硼化合物的硼成分, 使用碱性氢氧化物作为沉淀剂; 和(c)在氧化铝前体化合物的存在下压制步骤(a)和(b)中得到的沉淀物的混合物的步骤。 由此获得的催化剂可用于从包含一氧化碳和/或二氧化碳和氢气的混合气体中合成甲醇。

    Learning process system for use with a neural network structure data
processing apparatus
    6.
    发明授权
    Learning process system for use with a neural network structure data processing apparatus 失效
    用于神经网络结构数据处理装置的学习过程系统

    公开(公告)号:US5333239A

    公开(公告)日:1994-07-26

    申请号:US3856

    申请日:1993-01-11

    CPC分类号: G06N3/084 G06N3/04

    摘要: A learning process system is provided for a neural network. The neural network is a layered network comprising an input layer, an intermediate layer and an output layer formed of basic units. In the basic units, a plurality of inputs is multiplied by a weight signal and the products are accumulated, thereby supplying the sum of products. An output signal is obtained using a threshold value function in response to the sum of products. An error signal is generated by an error circuit in response to a difference between the output signal obtained from the output layer and a teacher signal. A weight updating signal is determined in a weight learning circuit by obtaining a weight value in which the sum of the error values falls within an allowable range. Thus, the learning is performed in the layered neural network through use of a back propagation method. Through such learning in the layered neural network, an updating quantity to be obtained in the present weight updating cycle is determined in response to a once delayed weight updating quantity signal in a previous weight updating cycle and a twice delayed weight updating quantity obtained at a twice-previous weight updating cycle prior to the previous weight updating cycle.

    摘要翻译: 为神经网络提供学习过程系统。 神经网络是包括由基本单元形成的输入层,中间层和输出层的分层网络。 在基本单位中,将多个输入乘以权重信号,并积累乘积,从而提供乘积之和。 使用响应于乘积之和的阈值函数获得输出信号。 响应于从输出层获得的输出信号和教师信号之间的差异,误差电路产生误差信号。 在权重学习电路中通过获得误差值之和落在容许范围内的权重值来确定权重更新信号。 因此,通过使用反向传播方法在分层神经网络中进行学习。 通过在分层神经网络中的这种学习,响应于先前权重更新周期中的一次延迟加权更新量信号和在两次延迟加权更新量中获得的当前权重更新周期中将获得的更新量 在先前权重更新周期之前的前一权重更新周期。

    Learning system for a data processing apparatus
    7.
    发明授权
    Learning system for a data processing apparatus 失效
    一种数据处理设备的学习系统

    公开(公告)号:US5297237A

    公开(公告)日:1994-03-22

    申请号:US913749

    申请日:1992-07-17

    IPC分类号: G06N3/08 G06F15/18

    CPC分类号: G06N3/08

    摘要: A learning system is used in a data processing apparatus for learning an input pattern by obtaining an internal-state value necessary for realizing a desired data conversion by performing a pattern conversion defined by the internal-state value and calculating an output pattern corresponding to the input pattern. The learning system comprises a pattern presenting unit for presenting an input pattern group of the subject to be learned for pattern conversion, dividing the input pattern group of the subject to be learned into at least two sets, selecting one of the divided sets, presenting the input pattern group of the selected set to a pattern conversion unit and presenting an input pattern group belonging to all the sets presented up to the current point when the internal-state value to be converged is obtained in accordance with the presentation of the selected set, and an error value calculating unit for calculating an error value representing a magnitude of a non-consistency between an output pattern group outputted in accordance with the presentation and a teacher pattern group representing a pattern to be obtained by the output pattern group.

    摘要翻译: 在用于学习输入模式的数据处理装置中使用学习系统,通过执行由内部状态值定义的模式转换来获得实现所需数据转换所需的内部状态值,并计算与输入对应的输出模式 模式。 该学习系统包括:图案呈现单元,用于呈现要被学习的图案转换的对象的输入图案组,将要学习的被摄体的输入图案组划分为至少两组;选择一个分割组, 根据所选择的集合的呈现,获得所选集合的输入模式组到模式转换单元,并且呈现属于当前点所呈现的所有集合的输入模式组,当满足内部状态值时, 以及误差值计算单元,用于计算表示根据呈现输出的输出图案组与表示由输出图案组获得的图案的教师图案组之间的不一致性的大小的误差值。

    Induction type positioning system
    9.
    发明授权
    Induction type positioning system 失效
    感应式定位系统

    公开(公告)号:US4463290A

    公开(公告)日:1984-07-31

    申请号:US271044

    申请日:1981-06-05

    摘要: An induction type positioning system which accurately stops a movable part without a contact and holds it in the stopped position without depending on the friction force of mechanical contact is disclosed. A primary core consisting of a main pole, an auxiliary pole, and a single phase AC magnetic field generation coil, and a conductive plate which moves relative to this primary core, generate a holding force for suppressing the relative movement between the primary core and the conductive plate by use of the eddy current which is induced on the conductive plate by the field generated by the main pole at the position where the conductive plate is placed on the auxiliary pole and simultaneously the edge of the conductive plate is placed on the main pole, and by use of the eddy current which is induced on the conductive plate by the field generated from the auxiliary pole. This structure provides a positioning system and simple braking mechanism such that positioning is not dependent on mechanical friction, thus, avoiding the heat, smell, smoke and noise associated with the conventional mechanical system.For this reason, the system is particularly suited for installation within an office system.

    摘要翻译: 公开了一种感应式定位系统,其能够精确地停止可移动部件而没有接触并将其保持在停止位置而不依赖于机械接触的摩擦力。 由主极,辅助极和单相交流磁场产生线圈构成的主芯和相对于该主芯移动的导电板产生用于抑制初级铁芯与主铁芯之间的相对移动的保持力 通过使用由导电板在辅助极上放置的位置处由主极产生的场在导电板上感应的涡流导电板,同时将导电板的边缘放置在主极上 并且通过使用由辅助极产生的磁场在导电板上感应的涡流。 这种结构提供了一种定位系统和简单的制动机构,使得定位不依赖于机械摩擦,因此避免了与常规机械系统相关联的热,气味,烟雾和噪音。 因此,该系统特别适用于在办公系统内安装。

    Neuro-fuzzy-integrated data processing system
    10.
    发明授权
    Neuro-fuzzy-integrated data processing system 失效
    神经模糊综合数据处理系统

    公开(公告)号:US06456989B1

    公开(公告)日:2002-09-24

    申请号:US09253705

    申请日:1999-02-22

    IPC分类号: G06F1518

    CPC分类号: G06N3/0436 G06N7/046

    摘要: The present invention relates to a data processing system in a hierarchical network configuration for executing applicable data processes in a comprehensible and executable form. An object of the present invention is to allow data processing capabilities to be established with high precision in a short time based on a fuzzy-neuro-integrated concept. A fuzzy model is generated by a data processing system in the form of membership functions and fuzzy rules as technical information relating to a control target. According to this fuzzy model, a weight value of the connection between neurons is set and a pre-wired neural network is established. Then, the data of the control target are learned by the neural network. The connection state and a weight value of the neural network after the learning enable tuning of the fuzzy model.

    摘要翻译: 本发明涉及一种分级网络配置中的数据处理系统,用于以可理解和可执行的形式执行适用的数据处理。 本发明的目的是基于模糊神经集成概念,在短时间内以高精度建立数据处理能力。 以隶属函数和模糊规则的形式由数据处理系统生成模糊模型作为与控制目标相关的技术信息。 根据该模糊模型,设置神经元之间的连接的权重值,建立预接线神经网络。 然后,通过神经网络学习控制目标的数据。 连接状态和神经网络的权重值在学习后能够调整模糊模型。