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1. 发明申请

US20100085211A1 SELF-POWERED IN-PIPE FLUID METER AND PIPING NETWORK COMPRISING A PLURALITY OF SUCH FLUID METERS 失效
标题翻译：自供电的管内流量计和包含这种流量计的多重流量的管网
公开(公告)号：US20100085211A1
公开(公告)日：2010-04-08
申请号：US12376733
申请日：2007-08-06
申请人： Zhenfeng Wang , Ser Yong Lim , Wei Fan , Danhong Zhang
发明人： Zhenfeng Wang , Ser Yong Lim , Wei Fan , Danhong Zhang
IPC分类号： G08B1/00
CPC分类号： G01N33/18 , G01F1/10 , G01F15/063
摘要： A self-powered in-pipe fluid meter to be mounted inside of a pipe carrying a fluid therein. The fluid meter comprises at least one sensing unit capable of measuring one or more parameters of the fluid inside of the pipe; a telemetric data transmission unit capable of telemetrically transmitting data including a measured fluid parameter to a host terminal and/or another fluid meter; and at least one fluid-driven power source unit capable of generating power from the fluid flow within the pipe and supplying power to the sensing unit and/or the transmission unit.
摘要翻译：一种自供电的管内流量计，安装在其中携带流体的管道的内部。所述流量计包括能够测量所述管内部的流体的一个或多个参数的至少一个传感单元; 遥测数据传输单元，其能够将包括测量的流体参数的数据遥测地传送到主机终端和/或另一个流量计; 以及至少一个流体驱动的电源单元，其能够从管道内的流体流产生功率，并向感测单元和/或传输单元供电。

2. 发明授权

US08299937B2 Self-powered in-pipe fluid meter and piping network comprising a plurality of such fluid meters 失效
标题翻译：自供电的管内流体计和管道网络包括多个这样的流量计
公开(公告)号：US08299937B2
公开(公告)日：2012-10-30
申请号：US12376733
申请日：2007-08-06
申请人： Zhenfeng Wang , Ser Youn Lim , Wei Fan , Danhong Zhang
发明人： Zhenfeng Wang , Ser Youn Lim , Wei Fan , Danhong Zhang
IPC分类号： G08B23/00
CPC分类号： G01N33/18 , G01F1/10 , G01F15/063
摘要： A self-powered in-pipe fluid meter to be mounted inside of a pipe carrying a fluid therein. The fluid meter comprises at least one sensing unit capable of measuring one or more parameters of the fluid inside of the pipe; a telemetric data transmission unit capable of telemetrically transmitting data including a measured fluid parameter to a host terminal and/or another fluid meter; and at least one fluid-driven power source unit capable of generating power from the fluid flow within the pipe and supplying power to the sensing unit and/or the transmission unit.
摘要翻译：一种自供电的管内流量计，安装在其中携带流体的管道的内部。所述流量计包括能够测量所述管内部的流体的一个或多个参数的至少一个传感单元; 遥测数据传输单元，其能够将包括测量的流体参数的数据遥测地传送到主机终端和/或另一个流量计; 以及至少一个流体驱动的电源单元，其能够从管道内的流体流产生功率，并向感测单元和/或传输单元供电。

3. 发明申请

US20140346378A1 MICROFLUIDIC VALVE MODULE AND SYSTEM FOR IMPLEMENTATION 审中-公开
标题翻译：微流控阀模块和实现系统
公开(公告)号：US20140346378A1
公开(公告)日：2014-11-27
申请号：US13977480
申请日：2011-12-21
申请人： Chin Hock Kua , Zhenfeng Wang , Wei Fan , Cong Zhi Leon Chan , Zhiping Wang
发明人： Chin Hock Kua , Zhenfeng Wang , Wei Fan , Cong Zhi Leon Chan , Zhiping Wang
IPC分类号： F16K99/00
CPC分类号： F16K99/0015 , F16K99/0061 , F16K2099/0084
摘要： An improved microfluidic system with an improved microfluidic valve module is disclosed. The microfluidic system includes a microfluidic chip and one or more valve modules. The microfluidic chip has microfluidic channels and one or more cavities formed in the chip, each of the one or more cavities designed to receive one of the one or more valve modules. Each of the one or more valve modules includes a first layer, a control layer and one or more second layers. The first layer includes a deformable material. The control layer has a microfluidic control chamber formed in a portion of it. The control layer is also located adjoining the first layer and the deformable material of the first layer forms a deformable surface of the control chamber. The one or more second layers include an input microfluidic channel and an output microfluidic channel. The input microfluidic channel and the output microfluidic channel are fluidically coupled to the microfluidic control chamber, and fluid flow through the input microfluidic channel, the microfluidic control chamber and the output microfluidic channel is controlled in response to a force deforming the deformable material of the first layer at least a predetermined amount.
摘要翻译：公开了具有改进的微流体阀模块的改进的微流体系统。微流体系统包括微流体芯片和一个或多个阀模块。微流体芯片具有微流体通道和在芯片中形成的一个或多个空腔，所述一个或多个空腔中的每一个被设计成容纳一个或多个阀模块中的一个。一个或多个阀模块中的每一个包括第一层，控制层和一个或多个第二层。第一层包括可变形材料。控制层具有形成在其一部分中的微流控制室。控制层也邻接第一层并且第一层的可变形材料形成控制室的可变形表面。一个或多个第二层包括输入微流体通道和输出微流体通道。输入微流体通道和输出微流体通道流体耦合到微流控制室，并且通过输入微流体通道，微流控制室和输出微流体通道的流体流动被响应于使第一层至少预定量。

4. 发明申请

US20130240073A1 Microfluidic Device for Altering a Fluid Flow and a Microfluidic System Including the Microfluidic Device 审中-公开
标题翻译：用于改变流体流动的微流体装置和包括微流体装置的微流体系统
公开(公告)号：US20130240073A1
公开(公告)日：2013-09-19
申请号：US13822743
申请日：2010-09-17
申请人： Huanming Xia , Zhiping Wang , Wei Fan , Zhenfeng Wang
发明人： Huanming Xia , Zhiping Wang , Wei Fan , Zhenfeng Wang
IPC分类号： G05D7/01
CPC分类号： G05D7/0113 , G05D7/012 , Y10T137/7879
摘要： In an embodiment, a microfluidic device for altering a fluid flow may be provided. The microfluidic device may include a chamber having a first chamber portion with an inlet configured to receive a fluid flow into the chamber; a second chamber portion with an outlet configured to permit an altered fluid flow out of the chamber, the second chamber portion defining a smaller chamber cross section compared to the first chamber portion; and at least one support structure with at least one support surface defining a division between the first chamber portion and the second chamber portion; and a diaphragm in the first chamber portion, the diaphragm displaceable between a position at the inlet and a position at the at least one support surface by the fluid flow. A microfluidic system including the microfluidic device may also be provided.
摘要翻译：在一个实施例中，可以提供用于改变流体流动的微流体装置。微流体装置可以包括具有第一室部分的室，其具有被配置为接收流入室的流体的入口; 具有出口的第二室部分，其配置成允许改变的流体流出室，第二室部分与第一室部分相比限定较小的室横截面; 以及具有至少一个支撑表面的至少一个支撑结构，所述至少一个支撑表面在所述第一室部分和所述第二室部分之间限定划分; 以及在所述第一室部分中的隔膜，所述隔膜在所述入口处的位置和所述至少一个支撑表面处的位置之间由所述流体流动移动。还可以提供包括微流体装置的微流体系统。

5. 发明申请

US20130151543A1 IDENTIFYING INCONSISTENCIES IN OBJECT SIMILARITIES FROM MULTIPLE INFORMATION SOURCES 有权
标题翻译：识别来自多个信息来源的对象类似中的不符合
公开(公告)号：US20130151543A1
公开(公告)日：2013-06-13
申请号：US13316178
申请日：2011-12-09
申请人： Wei Fan , Jing Gao , Srinivasan Parthasarathy , Deepak Turaga
发明人： Wei Fan , Jing Gao , Srinivasan Parthasarathy , Deepak Turaga
IPC分类号： G06F17/30
CPC分类号： G06F17/30598 , G11B27/32
摘要： A horizontal anomaly detection method includes receiving at plurality of objects described in a plurality of information sources, wherein each individual information source captures a plurality of similarity relationships between the objects, combining the information sources to determine a similarity matrix whose entries represent quantitative scores of similarity between pairs of the objects, and identifying at least one horizontal anomaly of the objects within the similarity matrix, wherein the horizontal anomalies are anomalous relationships across the plurality of information sources.
摘要翻译：水平异常检测方法包括在多个信息源中描述的多个对象处接收，其中每个单独的信息源捕获对象之间的多个相似关系，组合信息源以确定其条目表示相似度的定量分数的相似性矩阵在所述对象之间，并且识别所述相似性矩阵内的对象的至少一个水平异常，其中所述水平异常是所述多个信息源之间的异常关系。

6. 发明授权

US08462516B2 Interconnect structure and a method of fabricating the same 失效
标题翻译：互连结构及其制造方法
公开(公告)号：US08462516B2
公开(公告)日：2013-06-11
申请号：US12741582
申请日：2008-10-21
申请人： Chee Khuen Stephen Wong , Hock Lye John Pang , Wei Fan , Haijing Lu , Boon Keng Lok
发明人： Chee Khuen Stephen Wong , Hock Lye John Pang , Wei Fan , Haijing Lu , Boon Keng Lok
IPC分类号： H05K7/02 , H05K1/16 , H05K7/20 , H05K1/09 , B29C59/00
CPC分类号： H01L24/13 , B81C1/00095 , H01L24/11 , H01L24/16 , H01L24/81 , H01L25/0657 , H01L2224/05568 , H01L2224/05573 , H01L2224/056 , H01L2224/1147 , H01L2224/11474 , H01L2224/11902 , H01L2224/11903 , H01L2224/13012 , H01L2224/13013 , H01L2224/13014 , H01L2224/13015 , H01L2224/13017 , H01L2224/13018 , H01L2224/13019 , H01L2224/1308 , H01L2224/13082 , H01L2224/13144 , H01L2224/13147 , H01L2224/13155 , H01L2224/32145 , H01L2224/81193 , H01L2224/81203 , H01L2224/81801 , H01L2224/8182 , H01L2224/81894 , H01L2225/06517 , H01L2924/00013 , H01L2924/01005 , H01L2924/01006 , H01L2924/01022 , H01L2924/01024 , H01L2924/01029 , H01L2924/01033 , H01L2924/01074 , H01L2924/01076 , H01L2924/01078 , H01L2924/01079 , H01L2924/01082 , H01L2924/01327 , H01L2924/014 , H01L2924/09701 , H01L2924/10253 , H01L2924/15787 , H01L2924/30105 , H01L2924/30107 , H01L2924/3011 , Y10T29/49149 , H01L2924/00014 , H01L2224/13099 , H01L2224/29099 , H01L2924/00 , H01L2924/00012
摘要： An interconnect structure, an interconnect structure for interconnecting first and second components, an interconnect structure for interconnecting a multiple component stack and a substrate, and a method of fabricating an interconnect structure. The interconnect structure comprising a base portion formed on a mounting surface of a first component; a pillar portion extending from the base portion and substantially perpendicularly to the mounting surface; and a head portion formed on the pillar portion and having larger lateral dimensions than the pillar portion; wherein the base portion and the pillar portion are integrally formed of a homogeneous material.
摘要翻译：互连结构，用于互连第一和第二组件的互连结构，用于互连多组分堆叠和衬底的互连结构，以及制造互连结构的方法。所述互连结构包括形成在第一部件的安装表面上的基部; 从所述基部延伸并基本上垂直于所述安装表面的柱部; 以及头部，形成在所述柱部上并且具有比所述柱部更大的横向尺寸; 其中所述基部和所述柱部由均质材料一体地形成。

7. 发明授权

US07904397B2 System and method for scalable cost-sensitive learning 有权
标题翻译：可扩展成本敏感学习的系统和方法
公开(公告)号：US07904397B2
公开(公告)日：2011-03-08
申请号：US12690502
申请日：2010-01-20
申请人： Wei Fan , Haixun Wang , Philip S. Yu
发明人： Wei Fan , Haixun Wang , Philip S. Yu
IPC分类号： G06F15/18 , G06N3/00 , G06N3/12
CPC分类号： G06N99/005
摘要： A method (and structure) for processing an inductive learning model for a dataset of examples, includes dividing the dataset of examples into a plurality of subsets of data and generating, using a processor on a computer, a learning model using examples of a first subset of data of the plurality of subsets of data. The learning model being generated for the first subset comprises an initial stage of an evolving aggregate learning model (ensemble model) for an entirety of the dataset, the ensemble model thereby providing an evolving estimated learning model for the entirety of the dataset if all the subsets were to be processed. The generating of the learning model using data from a subset includes calculating a value for at least one parameter that provides an objective indication of an adequacy of a current stage of the ensemble model.
摘要翻译：一种用于处理实例的数据集的感应学习模型的方法（和结构），包括将示例的数据集划分成多个数据子集，并使用计算机上的处理器生成使用第一子集的示例的学习模型的多个数据子集的数据。为第一子集生成的学习模型包括用于整个数据集的演进聚合学习模型（集合模型）的初始阶段，从而为整个数据集提供演进的估计学习模型，如果所有子集被处理。使用来自子集的数据生成学习模型包括计算至少一个参数的值，所述参数提供对所述集合模型的当前阶段的充分性的客观指示。

8. 发明授权

US07565346B2 System and method for sequence-based subspace pattern clustering 失效
标题翻译：基于序列的子空间模式聚类的系统和方法
公开(公告)号：US07565346B2
公开(公告)日：2009-07-21
申请号：US10858541
申请日：2004-05-31
申请人： Wei Fan , Haixun Wang , Philip S. Yu
发明人： Wei Fan , Haixun Wang , Philip S. Yu
IPC分类号： G06F17/30
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。

9. 发明申请

US20080066676A1 Heating apparatus with enhanced thermal uniformity and method for making thereof 有权
标题翻译：具有增强的热均匀性的加热装置及其制造方法
公开(公告)号：US20080066676A1
公开(公告)日：2008-03-20
申请号：US11549968
申请日：2006-10-16
申请人： John Mariner , Ajit Sane , Toshiki Ebata , Marc Schaepkens , Xiang Liu , Wei Fan
发明人： John Mariner , Ajit Sane , Toshiki Ebata , Marc Schaepkens , Xiang Liu , Wei Fan
IPC分类号： C23C16/00
CPC分类号： C23C16/4586 , H01L21/67103
摘要： A heating apparatus for regulating/controlling the surface temperature of a substrate is provided. At least a thermal pyrolytic graphite (TPG) layer is embedded in the heater to diffuse the temperature difference of the various components in the heating apparatus and provide temporal and spatial control of the surface temperature of the substrate, for a relatively uniform substrate temperature with the difference between the maximum and minimum temperature points on the substrate of less than 10° C.
摘要翻译：提供一种用于调节/控制基板的表面温度的加热装置。至少一个热解石墨（TPG）层嵌入在加热器中以扩散加热装置中的各种组分的温度差，并提供衬底的表面温度的时间和空间控制，对于相对均匀的衬底温度，基板上最大和最小温度点之间的差值小于10°C

10. 发明申请

US20060026110A1 Systems and methods for sequential modeling in less than one sequential scan 失效
标题翻译：在不到一次顺序扫描中进行顺序建模的系统和方法
公开(公告)号：US20060026110A1
公开(公告)日：2006-02-02
申请号：US10903336
申请日：2004-07-30
申请人： Wei Fan , Haixun Wang , Philip Yu
发明人： Wei Fan , Haixun Wang , Philip Yu
IPC分类号： G06F15/18
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。

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