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1. 发明授权

US09343990B2 Low current consumption electrical control switch 有权
标题翻译：低电流消耗电控开关
公开(公告)号：US09343990B2
公开(公告)日：2016-05-17
申请号：US13233240
申请日：2011-09-15
申请人： Philip Yu Wing Tsui , Gallen Ka Leung Tsui
发明人： Philip Yu Wing Tsui , Gallen Ka Leung Tsui
IPC分类号： H02M1/00 , H02M5/257 , H05B37/02 , H05B39/08 , H02J13/00
CPC分类号： H02M5/2576 , H02J13/0075 , H02M2001/0006 , H05B37/0272 , H05B39/08 , Y02B70/3283 , Y04S20/246
摘要： The invention provides a low current consumption control switch device and method related thereto. The control switch device includes a switch control component, a microprocessor, a wireless signal receiver for receiving control signal and a DC power supply. The DC power supply draws an AC current from the AC power supply to power the wireless signal receiver, the microprocessor and the switch control component. The switch control component has a control input for receiving control instructions to control current supply from the AC power supply. The microprocessor is operatively connected to the switch control component for providing control instructions to alter its switching state. The control signal comprises a preamble and a message portion. The wireless signal receiver is configured to alternate between at least two current consumption modes and to remain in a higher current consumption mode upon detection of the preamble.
摘要翻译：本发明提供了一种低电流消耗控制开关装置及其方法。控制开关装置包括开关控制部件，微处理器，用于接收控制信号的无线信号接收器和直流电源。直流电源从交流电源吸取交流电，为无线信号接收器，微处理器和开关控制部件供电。开关控制部件具有用于接收控制指令以控制来自AC电源的电流供应的控制输入。微处理器可操作地连接到开关控制部件，用于提供控制指令以改变其开关状态。控制信号包括前同步码和消息部分。无线信号接收器被配置为在至少两个电流消耗模式之间交替并且在检测到前导码时保持在更高的电流消耗模式。

2. 发明申请

US20140055234A1 UNIVERSAL REMOTE CONTROL SYSTEM 审中-公开
标题翻译：通用遥控系统
公开(公告)号：US20140055234A1
公开(公告)日：2014-02-27
申请号：US13970923
申请日：2013-08-20
申请人： Philip Yu Wing TSUI , Gallen Ka Leung TSUI
发明人： Philip Yu Wing TSUI , Gallen Ka Leung TSUI
IPC分类号： G07C9/00
CPC分类号： G07C9/00007 , E05F15/00 , E05F15/668 , E05F15/77 , E05Y2400/854 , E05Y2400/856 , E05Y2600/00 , E05Y2800/00 , E05Y2800/692 , E05Y2900/106 , G05B19/042 , G05B2219/23039 , G05B2219/2628 , G08C17/02 , G08C2201/50 , G08C2201/92
摘要： A universal remote control system is disclosed. The universal remote control includes a receiver that has a wireless signal receiver unit, an electric motor that drives a mechanical arm and a microprocessor. When the receiver receives a control signal from a wireless signal transmitter, the microprocessor will energize the motor which drives the mechanical arm toward a pushbutton switch of a controlled device, such as a garage door opener, and depresses the push button, therefore activating the garage door opener. A feedback signal, for example, from the mechanical arm or the motor, may be provided to the microprocessor to inform the microprocessor when the pushbutton switch is sufficiently depressed and is in an engaged state. When the switch is in the engaged state, the motor will reverse its direction, causing the mechanical arm to raise and move back to a standby position.
摘要翻译：公开了通用遥控系统。通用遥控器包括具有无线信号接收器单元的接收器，驱动机械臂的电动机和微处理器。当接收器接收到来自无线信号发射器的控制信号时，微处理器将使驱动机械臂的电动机朝向诸如车库门开启器的受控装置的按钮开关通电，并按下按钮，从而启动车库开门可以向微处理器提供例如来自机械臂或电动机的反馈信号，以在按钮开关被充分压下并处于接合状态时通知微处理器。当开关处于接合状态时，电机将反转其方向，使机械臂升高并返回待机位置。

3. 发明申请

US20080104038A1 Methods and Apparatus for Performing Structural Joins for Answering Containment Queries 失效
标题翻译：执行遏制查询结构连接的方法和装置
公开(公告)号：US20080104038A1
公开(公告)日：2008-05-01
申请号：US11966537
申请日：2007-12-28
申请人： Shyh-Kwei Chen , Kun-Lung Wu , Philip Yu
发明人： Shyh-Kwei Chen , Kun-Lung Wu , Philip Yu
IPC分类号： G06F17/30
CPC分类号： G06F17/30938 , Y10S707/99932 , Y10S707/99933 , Y10S707/99934 , Y10S707/99942 , Y10S707/99943
摘要： Techniques are provided for performing structural joins for answering containment queries. Such inventive techniques may be used to perform efficient structural joins of two interval lists which are neither sorted nor pre-indexed. For example, in an illustrative aspect of the invention, a technique for performing structural joins of two element sets of a tree-structured document, wherein one of the two element sets is an ancestor element set and the other of the two element sets is a descendant element set, and further wherein each element is represented as an interval representing a start position and an end position of the element in the document, comprises the following steps/operations. An index is dynamically built for the ancestor element set. Then, one or more structural joins are performed by searching the index with the interval start position of each element in the descendant element set.
摘要翻译：提供技术来执行用于回答遏制查询的结构连接。这样的创造性技术可以用于执行两个间隔列表的有效结构连接，这两个间隔列表既不被分类也未预索引。例如，在本发明的说明性方面，一种用于执行树结构化文档的两个元素集合的结构连接的技术，其中两个元素集合中的一个是祖先元素集合，并且两个元素集合中的另一个是后代元素集合，并且其中每个元素被表示为表示文档中元素的开始位置和结束位置的间隔，包括以下步骤/操作。为祖先元素集动态构建索引。然后，通过用后代元素集中的每个元素的间隔开始位置搜索索引来执行一个或多个结构连接。

4. 发明申请

US20080052255A1 SYSTEMS AND METHODS FOR SEQUENTIAL MODELING IN LESS THAN ONE SEQUENTIAL SCAN 失效
标题翻译：用于顺序建模的系统和方法不超过一次连续扫描
公开(公告)号：US20080052255A1
公开(公告)日：2008-02-28
申请号：US11931129
申请日：2007-10-31
申请人： Wei Fan , Haixun Wang , Philip Yu
发明人： Wei Fan , Haixun Wang , Philip Yu
IPC分类号： G06F15/18 , G06N7/00
CPC分类号： G06N99/005 , Y10S707/99931
摘要： Most recent research of scalable inductive learning on very large streaming dataset focuses on eliminating memory constraints and reducing the number of sequential data scans. However, state-of-the-art algorithms still require multiple scans over the data set and use sophisticated control mechanisms and data structures. There is discussed herein a general inductive learning framework that scans the dataset exactly once. Then, there is proposed an extension based on Hoeffding's inequality that scans the dataset less than once. The proposed frameworks are applicable to a wide range of inductive learners.
摘要翻译：对最大流式数据集的可伸缩归纳学习的最新研究着重于消除记忆限制并减少顺序数据扫描的次数。然而，最先进的算法仍然需要对数据集进行多次扫描，并使用复杂的控制机制和数据结构。这里讨论了一般的归纳学习框架，该框架一次扫描数据集。然后，提出了一种基于Hoeffding不等式的扩展，可以扫描数据集不止一次。提出的框架适用于广泛的归纳学习者。

5. 发明申请

US20070211703A1 System and method for peer-to-peer multi-party voice-over-IP services 有权
标题翻译：用于点对点多方语音IP服务的系统和方法
公开(公告)号：US20070211703A1
公开(公告)日：2007-09-13
申请号：US11372634
申请日：2006-03-10
申请人： Xiaohui Gu , Zon-Yin Shae , Zhen Wen , Philip Yu
发明人： Xiaohui Gu , Zon-Yin Shae , Zhen Wen , Philip Yu
IPC分类号： H04L12/66
CPC分类号： H04L12/1818 , H04L45/16 , H04L45/48
摘要： A system, method, and computer program product for establishing multi-party VoIP conference audio calls in a distributed, peer-to-peer network where any number of nodes are able to arbitrarily and asynchronously start or stop producing audio output to be mixed into a single composite audio stream that is distributed to all nodes. A single distribution tree is used that has optimal communications characteristics to distribute the composite audio signal to all nodes. An audio mixing tree is established and maintained by adaptively and dynamically adding and merging intermediate mixing nodes operating between user nodes and the root of the single distribution tree. The intermediate mixing nodes and the root of the single distribution tree are all hosted, in an exemplary embodiment, on user nodes that are endpoints of the distribution tree.
摘要翻译：一种用于在分布式对等网络中建立多方VoIP会议音频呼叫的系统，方法和计算机程序产品，其中任何数量的节点能够任意地和异步地开始或停止产生混合到单个复合音频流分配给所有节点。使用具有最佳通信特性以将复合音频信号分配给所有节点的单个分发树。通过自适应地动态地添加和合并在用户节点和单个分发树的根之间运行的中间混合节点来建立和维护音频混合树。在示例性实施例中，分发树的中间混合节点和根分别在作为分发树的端点的用户节点上托管。

6. 发明申请

US20070016560A1 Method and apparatus for providing load diffusion in data stream correlations 失效
标题翻译：用于在数据流相关中提供负载扩散的方法和装置
公开(公告)号：US20070016560A1
公开(公告)日：2007-01-18
申请号：US11183149
申请日：2005-07-15
申请人： Xiaohui Gu , Philip Yu
发明人： Xiaohui Gu , Philip Yu
IPC分类号： G06F17/30
CPC分类号： G06F17/30985 , Y10S707/99932
摘要： A computer implemented method, apparatus, and computer usable program code for performing load diffusion to process data stream pairs. A data stream pair is received for correlation. The data stream pair is partitioned into portions to meet correlation constraints for correlating data in the data stream pair to form a partitioned data stream pair. The partitioned data stream pair is sent to a set of nodes for correlation processing to perform the load diffusion.
摘要翻译：用于执行负载扩散以处理数据流对的计算机实现的方法，装置和计算机可用程序代码。接收数据流对以进行相关。将数据流对划分成部分以满足用于使数据流对中的数据相关的相关约束，以形成分区数据流对。分区数据流对被发送到一组节点进行相关处理以执行负载扩散。

7. 发明申请

US20060224562A1 System and method for efficiently performing similarity searches of structural data 有权
标题翻译：有效执行结构数据相似性检索的系统和方法
公开(公告)号：US20060224562A1
公开(公告)日：2006-10-05
申请号：US11096165
申请日：2005-03-31
申请人： Xifeng Yan , Philip Yu
发明人： Xifeng Yan , Philip Yu
IPC分类号： G06F17/30
CPC分类号： G06F17/30536 , G06F19/705
摘要： Techniques for similarity searching are provided. In one aspect, a method of searching structural data in a database against one or more structural queries comprises the following steps. A desired minimum degree of similarity between the one or more queries and the structural data in the database is first specified. One or more indices are then used to exclude from consideration any structural data in the database that does not share the minimum degree of similarity with one or more of the queries.
摘要翻译：提供了相似搜索的技术。在一个方面，一种在一个或多个结构性查询中搜索数据库中的结构数据的方法包括以下步骤。首先指定一个或多个查询与数据库中的结构数据之间期望的最小相似程度。然后使用一个或多个索引从考虑中排除不与一个或多个查询共享最小相似度的数据库中的任何结构数据。

8. 发明申请

US20060200251A1 Systems and methods for optimal component composition in a stream processing system 失效
公开(公告)号：US20060200251A1
公开(公告)日：2006-09-07
申请号：US11068785
申请日：2005-03-01
申请人： Xiaohui Gu , Philip Yu
发明人： Xiaohui Gu , Philip Yu
IPC分类号： C10G9/16
CPC分类号： H04L12/4641
摘要： A system and method are provided for optimizing component composition in a distributed stream-processing environment having a plurality of nodes capable of being associated with one or more of a plurality of stream processing components. The system includes an adaptive composition probing (ACP) module and a hierarchical state manager. The ACP module probes a subset of the plurality of stream processing components to determine the optimal component composition in response to a stream processing request. The hierarchical state manager manages local and global information for use by said ACP module in determining the optimal component composition.

9. 发明申请

US20060174024A1 Systems and methods for maintaining closed frequent itemsets over a data stream sliding window 失效
公开(公告)号：US20060174024A1
公开(公告)日：2006-08-03
申请号：US11046926
申请日：2005-01-31
申请人： Yun Chi , Haixun Wang , Philip Yu
发明人： Yun Chi , Haixun Wang , Philip Yu
IPC分类号： G06F15/16
CPC分类号： G06F17/30516 , G06F17/30539 , Y10S707/99943
摘要： Towards mining closed frequent itemsets over a sliding window using limited memory space, a synopsis data structure to monitor transactions in the sliding window so that one can output the current closed frequent itemsets at any time. Due to time and memory constraints, the synopsis data structure cannot monitor all possible itemsets, but monitoring only frequent itemsets makes it difficult to detect new itemsets when they become frequent. Herein, there is introduced a compact data structure, the closed enumeration tree (CET), to maintain a dynamically selected set of itemsets over a sliding-window. The selected itemsets include a boundary between closed frequent itemsets and the rest of the itemsets Because the boundary is relatively stable, the cost of mining closed frequent itemsets over a sliding window is dramatically reduced to that of mining transactions that can possibly cause boundary movements in the CET.

10. 发明申请

US20050278324A1 Systems and methods for subspace clustering 失效
标题翻译：用于子空间聚类的系统和方法
公开(公告)号：US20050278324A1
公开(公告)日：2005-12-15
申请号：US10858541
申请日：2004-05-31
申请人： Wei Fan , Haixun Wang , Philip Yu
发明人： Wei Fan , Haixun Wang , Philip Yu
IPC分类号： G06F7/00 , G06K9/62
CPC分类号： G06K9/6215 , Y10S707/99936
摘要： Unlike traditional clustering methods that focus on grouping objects with similar values on a set of dimensions, clustering by pattern similarity finds objects that exhibit a coherent pattern of rise and fall in subspaces. Pattern-based clustering extends the concept of traditional clustering and benefits a wide range of applications, including e-Commerce target marketing, bioinformatics (large scale scientific data analysis), and automatic computing (web usage analysis), etc. However, state-of-the-art pattern-based clustering methods (e.g., the pCluster algorithm) can only handle datasets of thousands of records, which makes them inappropriate for many real-life applications. Furthermore, besides the huge data volume, many data sets are also characterized by their sequentiality, for instance, customer purchase records and network event logs are usually modeled as data sequences. Hence, it becomes important to enable pattern-based clustering methods i) to handle large datasets, and ii) to discover pattern similarity embedded in data sequences. There is presented herein a novel method that offers this capability.
摘要翻译：与传统的集群方法不同，传统的集群方法集中在对一组维度上具有类似值的对象进行分组，通过模式相似性进行聚类可以找到在子空间中呈现一致的上升和下降模式的对象。基于模式的群集扩展了传统群集的概念，受益于广泛的应用，包括电子商务目标营销，生物信息学（大规模科学数据分析）和自动计算（Web使用分析）等。然而，状态基于图案的聚类方法（例如，pCluster算法）只能处理数千条记录的数据集，这使得它们不适合许多现实生活中的应用。此外，除了巨大的数据量之外，许多数据集的特征还在于它们的顺序性，例如，客户购买记录和网络事件日志通常被建模为数据序列。因此，重要的是启用基于图案的聚类方法i）处理大数据集，以及ii）发现嵌入在数据序列中的模式相似性。这里提供了一种提供这种能力的新颖方法。

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