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    • 1. 发明专利
    • Shoulder massaging machine
    • 肩包机
    • JP2008126047A
    • 2008-06-05
    • JP2006343550
    • 2006-11-22
    • Koichi Nakajima幸一 中島
    • NAKAJIMA KOICHI
    • A61H39/04
    • PROBLEM TO BE SOLVED: To provide a shoulder massaging machine by which a user can massage the shoulder with weak power applying the principle of a leverage by solving the problem that no effect is obtained if the user massages the shoulder by him-/her-self without applying strong power upon massaging the shoulder and the user is quickly tired within a short time resulting in opposite effect.
      SOLUTION: As shown on Figures, Fig.1 shows this shoulder massaging machine, the machine is composed of: [1] bar; [2] disk; [3] string; and [4] buckle. The [2] disk fixes the [1] bar so as not to be moved. By the position relation between the [2] disk and the [1] bar, an effective point can be comfortably stimulated by extremely weak power because the [3] string is attached on a position near by the [2] disk so that the tip end in a remote position can be vertically or laterally moved by user's hand such that the principle of the leverage works.
      COPYRIGHT: (C)2008,JPO&INPIT
    • 要解决的问题:提供一种肩部按摩机,通过该肩部按摩机,用户可以通过解决如果用户按摩肩部而不能获得效果的问题,利用杠杆原理施加弱力的肩膀, 她的自我没有在按摩​​肩膀时施加强大的力量,使用者在短时间内迅速疲劳,从而产生相反的效果。

      解决方案:如图所示,图1显示了该台肩按摩机,机器由以下组成:[1] [2]磁盘; [3]字符串; 和[4]扣。 [2]磁盘修复[1]栏,以便不被移动。 通过[2]盘和[1]杆之间的位置关系,有效点可以被极弱的力量舒服地刺激,因为[3]弦被附接在靠近[2]盘的位置,使得尖端 在远程位置结束可以由用户的手垂直或横向移动,使得杠杆的原理起作用。 版权所有(C)2008,JPO&INPIT

    • 2. 发明专利
    • Multistaged integrated strainer
    • 多功能一体化过滤器
    • JP2008093645A
    • 2008-04-24
    • JP2006302107
    • 2006-10-10
    • Koichi NakajimaShoji Okada幸一 中島昭二 岡田
    • OKADA SHOJINAKAJIMA KOICHI
    • B01D35/02
    • PROBLEM TO BE SOLVED: To prevent damage or airtightness failure of a valve seat of a solenoid valve caused by intrusion of dust into the seat of the solenoid valve. SOLUTION: Fig. 1 shows one embodiment example of a multistaged integrated strainer, wherein fluid enters from IN, large dust is removed by a primary coarse filter 1, and fine dust is removed in a secondary fine filter 2, and the fluid flows to OUT. The coarse filter 1 is connected to the fine filter 2 with a connection rod 6 of a magnet. When fluid flows, the rod is extended being pressed by fluid, and it is returned by force of a spring 7 when the fluid is stopped to shake down dust attached to the filter to prevent clogging. The shaken-down dust attaches to the connection rod 6 of the magnet. Thus, a service life of the filter and an interval of cleaning can be largely elongated. Provision of an inspection window 3 enables easy confirmation of clogging state of the filter. COPYRIGHT: (C)2008,JPO&INPIT
    • 要解决的问题:为了防止由于灰尘进入电磁阀座而导致的电磁阀的阀座的损坏或气密性故障。

      解决方案: 图1示出了一个多级综合过滤器的一个实施例,其中流体从IN进入,大的灰尘被主粗过滤器1除去,细二次细过滤器2中除去细粉尘,流体流向OUT。 粗过滤器1通过磁体的连接杆6连接到精细过滤器2。 当流体流动时,杆被流体挤压延伸,当流体停止时,弹簧7受力返回,以摇摆附着在过滤器上的灰尘以防止堵塞。 摇动的灰尘附着在磁铁的连接杆6上。 因此,过滤器的使用寿命和清洁间隔可以大大延长。 提供检查窗口3能够容易地确认过滤器的堵塞状态。 版权所有(C)2008,JPO&INPIT

    • 3. 发明授权
    • Controller for plant
    • 厂房控制器
    • US08965664B2
    • 2015-02-24
    • US13259021
    • 2009-03-27
    • Yuji YasuiKoichi NakajimaMichael Fischer
    • Yuji YasuiKoichi NakajimaMichael Fischer
    • F02D41/00G05B21/00F02D41/14G05B13/04
    • F02D41/1402F02D41/0062F02D41/1405F02D41/1456F02D41/1458F02D41/1463F02D2041/143G05B13/041Y02T10/47
    • A controller for a plant that controls a controlled variable for the plant in accordance with estimated values, allowing to reduce any error in the estimated values that is caused by solid variation or aging of the plant. A controller for an exhaust emission control system has an estimated Inert-EGR value calculation section (711) to calculate the estimated value IEGRHAT for the Inert-EGR amount on the basis of an input vector U through a neural network, an estimated LAF sensor output value calculation section (712) to calculate the estimated value ΦHAT for an exhaust air-fuel ratio correlating with the Inert-EGR amount on the basis of the input vector U through the neural network, an LAF sensor (34) to detect the exhaust air-fuel ratio, and a nonlinear adaptive corrector (713) to calculate the adaptive input UVNS such that the estimated error EHAT between the detected value ΦACT from the LAF sensor (34) and the estimated output value ΦHAT of the LAF sensor (34) is minimized.
    • 用于根据估计值控制工厂的受控变量的设备的控制器,允许减少由固体变化或植物老化引起的估计值的任何误差。 用于废气排放控制系统的控制器具有估计的惰性 - EGR值计算部(711),用于基于通过神经网络的输入向量U,估计的LAF传感器输出来计算用于惰性 - EGR量的估计值IEGRHAT 值计算部(712),基于通过神经网络的输入矢量U计算与惰性EGR量相关的排气空燃比的推定值ΦHAT,检测排气的LAF传感器(34) 和非线性自适应校正器(713),以计算自适应输入UVNS,使得来自LAF传感器(34)的检测值ΦACT与LAF传感器(34)的估计输出值ΦHAT之间的估计误差EHAT为 最小化。
    • 5. 发明申请
    • CONTROLLER FOR PLANT
    • 植物控制器
    • US20120014838A1
    • 2012-01-19
    • US13259021
    • 2009-03-27
    • Yuji YasuiKoichi NakajimaMichael Fischer
    • Yuji YasuiKoichi NakajimaMichael Fischer
    • G05B21/00
    • F02D41/1402F02D41/0062F02D41/1405F02D41/1456F02D41/1458F02D41/1463F02D2041/143G05B13/041Y02T10/47
    • A controller for a plant that controls a controlled variable for the plant in accordance with estimated values, allowing to reduce any error in the estimated values that is caused by solid variation or aging of the plant. A controller for an exhaust emission control system has an estimated Inert-EGR value calculation section (711) to calculate the estimated value IEGRHAT for the Inert-EGR amount on the basis of an input vector U through a neural network, an estimated LAF sensor output value calculation section (712) to calculate the estimated value ΦHAT for an exhaust air-fuel ratio correlating with the Inert-EGR amount on the basis of the input vector U through the neural network, an LAF sensor (34) to detect the exhaust air-fuel ratio, and a nonlinear adaptive corrector (713) to calculate the adaptive input UVNS such that the estimated error EHAT between the detected value ΦACT from the LAF sensor (34) and the estimated output value ΦHAT of the LAF sensor (34) is minimized.
    • 用于根据估计值控制工厂的受控变量的设备的控制器,允许减少由固体变化或植物老化引起的估计值的任何误差。 用于废气排放控制系统的控制器具有估计的惰性 - EGR值计算部(711),用于基于通过神经网络的输入向量U,估计的LAF传感器输出来计算用于惰性 - EGR量的估计值IEGRHAT 值计算部(712),基于通过神经网络的输入矢量U计算与惰性EGR量相关的排气空燃比的推定值ΦHAT,检测排气的LAF传感器(34) 和非线性自适应校正器(713),以计算自适应输入UVNS,使得来自LAF传感器(34)的检测值ΦACT与LAF传感器(34)的估计输出值ΦHAT之间的估计误差EHAT为 最小化。