Method and Device to Operate Phone with a Single Key
    3.
    发明申请
    Method and Device to Operate Phone with a Single Key 审中-公开
    用单键操作手机的方法和设备

    公开(公告)号:US20170034330A1

    公开(公告)日:2017-02-02

    申请号:US15283455

    申请日:2015-03-30

    申请人: Rui Zhang

    发明人: Yimin Zhang Rui Zhang

    摘要: The present invention discloses a method to operate phone using a single key, first provide method to form ‘key value’: (1) When the key is just closed, plus 1 to the ‘key value’, (2) When the key closing time is greater than time t1, form ‘closing key value’, (3) When the key closing time is smaller than t1 and the immediate key releasing time is greater than t2, store the key value as ‘releasing key value’, (4) When the key closing time is smaller than t1 and the immediate key releasing time is smaller than t2, skip to step (1). The ‘releasing key values’ can be used to represent the numerical and alphabetical keys on typical keypad of phone, while the ‘closing key values’ can be used to represent the function key on typical keypad of phone, so that the complete function of a typical phone keypad can be realized using only one key. Therefore, a phone can be made very small, which can be especially useful when installed on small Bluetooth device that connects to phone, since not only can it answer incoming phone calls, but also making outgoing phone calls.

    摘要翻译: 本发明公开了一种使用单一键操作电话的方法,首先提供形成“键值”的方法:(1)当键刚刚关闭时,加上1键到“键值”,(2)当键关闭时 时间大于时间t1,形成“关闭键值”,(3)当键关闭时间小于t1,即时键释放时间大于t2时,将键值存储为“释放键值”,(4) )当钥匙闭合时间小于t1且紧急钥匙释放时间小于t2时,请跳到步骤(1)。 “释放键值”可用于表示电话典型键盘上的数字和字母键,而“关闭键值”可用于表示电话典型键盘上的功能键,从而完成 典型的电话键盘只能用一个键来实现。 因此,手机可以做得非常小,当安装在连接到手机的小型蓝牙设备上时,这可能特别有用,因为它不仅可以应答来电,而且拨出电话。

    PRESSURE SENSING DEVICE
    4.
    发明申请
    PRESSURE SENSING DEVICE 有权
    压力传感装置

    公开(公告)号:US20170010166A1

    公开(公告)日:2017-01-12

    申请号:US15011456

    申请日:2016-01-29

    申请人: Jinyu Zhang Rui Zhang

    发明人: Jinyu Zhang Rui Zhang

    IPC分类号: G01L9/00 G06F3/041

    CPC分类号: G01L19/0084 G01L9/0044

    摘要: A pressure sensing device is disclosed in the present disclosure. The pressure sensing device includes a bottom plate, a flexible shell and a MEMS pressure sensor. The flexible shell covers the bottom plate for forming a hermetical cavity, and the MEMS pressure sensor is accommodated in the hermetical cavity. Air in the hermetical cavity is compressed when the flexible shell is pressed, the MEMS pressure sensor is configured for detecting variation of an air pressure within the hermetical cavity when the flexible shell is pressed, and convert the variation of the air pressure into an electric signal.

    摘要翻译: 在本公开中公开了压力感测装置。 压力感测装置包括底板,柔性壳和MEMS压力传感器。 柔性壳覆盖用于形成密封腔的底板,并且MEMS压力传感器容纳在密封腔中。 当压缩弹性壳体时,气密腔中的空气被压缩,MEMS压力传感器构造成用于在柔性壳体被按压时检测气密腔内的空气压力的变化,并将空气压力的变化转换为电信号 。

    PERFORMANCE-EFFICIENT SYSTEM FOR PREDICTING USER ACTIVITIES BASED ON TIME-RELATED FEATURES
    10.
    发明申请
    PERFORMANCE-EFFICIENT SYSTEM FOR PREDICTING USER ACTIVITIES BASED ON TIME-RELATED FEATURES 有权
    基于时间相关特征预测用户活动的性能有效系统

    公开(公告)号:US20130226856A1

    公开(公告)日:2013-08-29

    申请号:US13403129

    申请日:2012-02-23

    IPC分类号: G06N5/02

    摘要: A recommender system uses an activity decision tree to model the changes in a user's behavior according to a plurality of time-related features. The system determines historical activities for the user, and generates a decision tree for the user's historical activities. Each leaf node of the decision tree is associated with an activity-prediction model that computes a probability for a corresponding activity. The system selects a path of the decision tree from a root node to a leaf node of the decision tree based on a target time. The selected path traverses two or more non-leaf nodes that are each associated with a temporal decision model that compares the target time against a temporal classifier. The system then determines a probability for a user activity based on an activity-prediction model of the selected path.

    摘要翻译: 推荐系统使用活动决策树来根据多个时间相关特征对用户行为的变化进行建模。 系统确定用户的历史活动,并为用户的历史活动生成决策树。 决策树的每个叶节点与计算相应活动概率的活动预测模型相关联。 系统基于目标时间从决策树的根节点到叶节点选择决策树的路径。 所选择的路径遍历两个或多个非叶节点,每个非叶节点与时间决策模型相关联,时间决策模型将目标时间与时间分类器进行比较。 然后,系统基于所选路径的活动预测模型来确定用户活动的概率。