公开(公告)号：US5045649A

公开(公告)日：1991-09-03

申请号：US424291

申请日：1989-10-03

Applicant: William D. Ramsey ,  George H. Bailey

Inventor： William D. Ramsey ,  George H. Bailey

IPC: B64C25/00 ,  B64C25/52 ,  H01H3/16

CPC classification number: B64C25/00 ,  B64C25/52 ,  H01H3/166 ,  B64C2025/325

Abstract: A self-adjusting slide assembly is provided for mounting a weight on gear switch to an aircraft. The slide assembly is particularly adapted for mounting on a skid equipped helicopter for responding to vertical oscillatory deflection of a cross tube of the skid landing gear. A mounting bracket is attached to the underside of the helicopter for supporting a back plate and a pair of clamp plates. A C-shaped slide member has a flange mounted between the back plate and clamp plates so as to slide vertically. Take-off and landing stresses cause the cross tube to exhibit vertical oscillatory deflection between an upper arm and a lower arm of the slide member. A microswitch mounted on the lower arm is actuated when the cross tube contacts a bottom bumper on the lower arm while the helicopter is fully on skid gear. Any deviation of the cross tube beyond its normal limits of deflection causes the upper and lower arms of the slide member to move with respect to the mounting bracket to establish new limits for cross tube oscillatory deflection. Thus, the microswitch maintains approximately the same relative position with respect to the mean position of the cross tube oscillatory deflection regardless of any permanent deformation of the cross tube resulting from harder than normal landings.

Abstract translation: PCT No.PCT / US89 / 04220 Sec。 371日期：1989年10月3日 102（e）日期1989年10月3日PCT提交1989年10月3日。提供一种自调整滑块组件，用于将重量放在齿轮开关上到飞机上。 滑动组件特别适用于安装在装有滑行装置的直升机上以响应滑行起落架的横管的垂直摆动偏转。 安装支架安装在直升机的下侧，用于支撑后板和一对夹板。 C形滑动构件具有安装在背板和夹板之间以便垂直滑动的凸缘。 起飞和着陆应力导致横管在滑动构件的上臂和下臂之间呈现垂直的摆动偏转。 当直升机完全处于防滑装置时，当横管接触下臂上的底部缓冲器时，安装在下臂上的微型开关被致动。 横管超出其正常偏转极限的任何偏差导致滑动构件的上臂和下臂相对于安装支架移动，以建立横管摆动偏转的新限制。 因此，微型开关相对于横管振荡偏转的平均位置保持大致相同的相对位置，而与由正常着陆较硬导致的横管的任何永久变形无关。

公开(公告)号：US20130346400A1

公开(公告)日：2013-12-26

申请号：US13528411

申请日：2012-06-20

Applicant: WILLIAM D. RAMSEY ,  BENOIT DUMOULIN ,  NICHOLAS ERIC CRASWELL

Inventor： WILLIAM D. RAMSEY ,  BENOIT DUMOULIN ,  NICHOLAS ERIC CRASWELL

IPC: G06F17/30

CPC classification number: G06F17/30864

Abstract: Embodiment described herein are directed to an enhanced search engine with multiple feedback loops for providing optimal search results that are responsive a user's search query. The user's search query is parsed, and based on the underlying terms, different linguistic models and refinement techniques generate alternative candidate search queries that may yield better results. Searches are performed for the original search query and the candidate search queries, and different scores are used to select the best search results to present to the user. Results making it onto the list, as well as the underlying candidate search query, linguistic model, or refinement technique for generating that search query, will have their corresponding scores updated to reflect their success of generating a search result. Scores are stored and used by future searches to come up with better results.

Abstract translation: 本文描述的实施例涉及具有多个反馈回路的增强搜索引擎，用于提供响应用户搜索查询的最佳搜索结果。 用户的搜索查询被解析，并且基于基础术语，不同的语言模型和细化技术产生可能产生更好结果的替代候选搜索查询。 对原始搜索查询和候选搜索查询执行搜索，并且使用不同的分数来选择要呈现给用户的最佳搜索结果。 将其列入列表的结果以及用于生成该搜索查询的底层候选搜索查询，语言模型或细化技术将更新其相应的分数，以反映其生成搜索结果的成功。 未来的搜索记录和使用得分可以获得更好的结果。

公开(公告)号：US07996783B2

公开(公告)日：2011-08-09

申请号：US11367292

申请日：2006-03-02

Applicant: William D. Ramsey ,  Sanjeev Katariya

Inventor： William D. Ramsey ,  Sanjeev Katariya

IPC: G06F3/048

CPC classification number: G06F17/30893

Abstract: A task framework and a semantic reasoning engine are combined to provide a scalable mechanism for dealing with extremely large numbers of widgets, allowing users to both find a widget and automatically fill-in whatever functionality is available on the widget. Calling applications are employed to obtain task information from each widget. The calling application also receives user queries that can be resolved by a widget. A task reasoning process based on an adaptive semantic reasoning engine utilizes the task information to select a widget best suited to respond to a user's query. The task reasoning process can also be employed to determine “best-guess” slot filling of the selected widget. The calling application can then invoke the selected widget and, if available, fill appropriate slots with information to facilitate user interaction with the selected widget. Instances can be client- and/or server-side based.

Abstract translation: 组合任务框架和语义推理引擎以提供可扩展的机制来处理极大数量的小部件，从而允许用户找到小部件，并自动填充小部件上可用的任何功能。 采用呼叫应用程序从每个小部件获取任务信息。 呼叫应用程序还接收可由窗口小部件解析的用户查询。 基于自适应语义推理引擎的任务推理过程利用任务信息来选择最适合于响应用户查询的小部件。 任务推理过程也可以用于确定所选小部件的“最佳猜测”插槽填充。 呼叫应用程序然后可以调用所选择的窗口小部件，并且如果可用，则填充具有信息的适当插槽以便于用户与所选择的窗口小部件交互。 实例可以是客户端和/或服务器端。

公开(公告)号：US07933914B2

公开(公告)日：2011-04-26

申请号：US11294581

申请日：2005-12-05

Applicant: William D. Ramsey ,  Qi Steven Yao ,  Sanjeev Katariya ,  Zhanliang Chen

Inventor： William D. Ramsey ,  Qi Steven Yao ,  Sanjeev Katariya ,  Zhanliang Chen

IPC: G06F17/30 ,  G06F15/16

CPC classification number: G06F17/30864

Abstract: A task system and method are provided. The system provides an automated approach for task creation, maintenance and/or execution. The system includes a browser that receives search results and at least one task associated with a query from a search engine. The system further includes a browser helper object that binds to the browser at runtime. The browser helper object provides information associated with a user's action with respect to the search results and/or at least one task. The information can be employed as feedback to update model(s) (e.g., query classification model(s) and/or slot-filling model(s)) of a semantic reasoning component that retrieves task based, at least in part, upon user query(ies).

Abstract translation: 提供了一个任务系统和方法。 该系统为任务创建，维护和/或执行提供了一种自动化方法。 该系统包括接收搜索结果的浏览器和与搜索引擎的查询相关联的至少一个任务。 该系统还包括在运行时绑定到浏览器的浏览器助手对象。 浏览器辅助对象提供与用户对于搜索结果和/或至少一个任务相关联的操作的信息。 该信息可以用作反馈，以至少部分地基于用户来更新检索任务的语义推理组件的模型（例如，查询分类模型和/或插槽填充模型） 查询（ies）。

公开(公告)号：US20100175049A1

公开(公告)日：2010-07-08

申请号：US12349830

申请日：2009-01-07

Applicant: WILLIAM D. RAMSEY ,  RONNIE IRA CHAIKEN ,  DARREN A. SHAKIB ,  ROBERT JOHN JENKINS, JR. ,  SIMON J. WEAVER ,  JINGREN ZHOU ,  DANIEL DEDU-CONSTANTIN ,  ACHINT SRIVASTAVA

Inventor： WILLIAM D. RAMSEY ,  RONNIE IRA CHAIKEN ,  DARREN A. SHAKIB ,  ROBERT JOHN JENKINS, JR. ,  SIMON J. WEAVER ,  JINGREN ZHOU ,  DANIEL DEDU-CONSTANTIN ,  ACHINT SRIVASTAVA

IPC: G06F9/44 ,  G06F9/45 ,  G06F7/00

CPC classification number: G06F9/45512

Abstract: Embodiments of the present invention relate to systems, methods and computer storage media for providing Structured Computations Optimized for Parallel Execution (SCOPE) that facilitate analysis of a large-scale dataset utilizing row data of those data sets. SCOPE includes, among other features, an extract command for extracting data bytes from a data stream and structuring the data bytes as data rows having strictly defined columns. SCOPE also includes a process command and a reduce command that identify data rows as inputs. The reduce command also identifies a reduce key that facilitates the reduction based on the reduce key. SCOPE additionally includes a combine command that identifies two data row sets that are to be combined based on an identified joint condition. Additionally, SCOPE includes a select command that leverages SQL and C# languages to create an expressive script that is capable of analyzing large-scale data sets in a parallel computing environment.

Abstract translation: 本发明的实施例涉及用于提供用于并行执行优化的结构化计算（SCOPE）的系统，方法和计算机存储介质，其利用这些数据集的行数据便于对大规模数据集进行分析。 SCOPE以及其他特征包括从数据流提取数据字节并且将数据字节构造为具有严格定义的列的数据行的提取命令。 SCOPE还包括一个进程命令和一个将数据行标识为输入的reduce命令。 reduce命令还标识一个减号键，该减号键有助于减少键的减少。 SCOPE另外包括组合命令，其基于识别的联合条件标识要组合的两个数据行集。 另外，SCOPE还包括一个select命令，利用SQL和C＃语言来创建一个能够在并行计算环境中分析大规模数据集的表达式脚本。

公开(公告)号：US07624099B2

公开(公告)日：2009-11-24

申请号：US11249623

申请日：2005-10-13

Applicant: Sanjeev Katariya ,  William D. Ramsey

Inventor： Sanjeev Katariya ,  William D. Ramsey

IPC: G06F17/28 ,  G06F17/27

CPC classification number: G06F17/30666 ,  G06F17/278 ,  G06F17/30616 ,  Y10S707/99933 ,  Y10S707/99934

Abstract: Word-breaking of a query from a client machine in a client-server environment includes determining whether to use a first word breaking module operable with a client machine in the client-server environment and/or a second word breaking module operable with a server in the client-server environment.

Abstract translation: 在客户机 - 服务器环境中从客户端机器断开查询包括确定是否使用可与客户机 - 服务器环境中的客户端机器一起操作的第一单词断开模块和/或可与服务器一起操作的第二单词断开模块 客户端 - 服务器环境。

公开(公告)号：US07593845B2

公开(公告)日：2009-09-22

申请号：US10679556

申请日：2003-10-06

Applicant: William D. Ramsey

Inventor： William D. Ramsey

IPC: G06F17/27

CPC classification number: G06F17/2785 ,  G06F17/2715 ,  Y10S707/99933 ,  Y10S707/99936

Abstract: A method and apparatus for identifying a semantic structure from an input text forms at least two candidate semantic structures. A semantic score is determined for each candidate semantic structure based on the likelihood of the semantic structure. A syntactic score is also determined for each semantic structure based on the position of a word in the text and the position in the semantic structure of a semantic entity formed from the word. The syntactic score and the semantic score are combined to select a semantic structure for at least a portion of the text. In many embodiments, the semantic structure is built incrementally by building and scoring candidate structures for a portion of the text, pruning low scoring candidates, and adding additional semantic elements to the retained candidates.

Abstract translation: 用于从输入文本识别语义结构的方法和装置形成至少两个候选语义结构。 基于语义结构的可能性，为每个候选语义结构确定语义分数。 还根据单词在文本中的位置以及从单词形成的语义实体的语义结构中的位置，为每个语义结构确定句法分数。 组合语法分数和语义分数以选择文本的至少一部分的语义结构。 在许多实施例中，通过为文本的一部分建立和评分候选结构，修剪低得分的候选以及向保留的候选者添加附加的语义元素来逐渐构建语义结构。

公开(公告)号：US20090119640A1

公开(公告)日：2009-05-07

申请号：US11936105

申请日：2007-11-07

Applicant: William D. Ramsey ,  Ronnie I. Chaiken

Inventor： William D. Ramsey ,  Ronnie I. Chaiken

IPC: G06F9/44

CPC classification number: G06F8/34

Abstract: A graphical application development tool for developing parallel computation applications. The tool facilitates insertion of computational elements by a drag-and-drop operation onto a canvas area for creating a computational graph. The graphical application tool reduces the barriers to the development of parallel computation applications by entry-level developers, for example, by allowing these users to write applications by using a graphical tool, thereby avoiding complexities of having to write well-formed code and learning a new language. The tool includes built-in functionality that allows the developer to write arbitrary code (e.g., C#) to perform various functions on massive amounts of data.

Abstract translation: 用于开发并行计算应用程序的图形应用程序开发工具。 该工具便于通过拖放操作将计算元素插入到画布区域上，用于创建计算图。 图形应用程序工具减少了入门级开发人员开发并行计算应用程序的障碍，例如，允许这些用户使用图形工具编写应用程序，从而避免复杂的编写格式良好的代码和学习 新语言 该工具包括内置的功能，允许开发人员编写任意代码（例如C＃）来执行大量数据的各种功能。

公开(公告)号：US20080028010A1

公开(公告)日：2008-01-31

申请号：US11496373

申请日：2006-07-31

Applicant: William D. Ramsey

Inventor： William D. Ramsey

IPC: G06F17/30

CPC classification number: G06F17/30964 ,  G06F17/30634 ,  Y10S707/99937

Abstract: Methods of ranking documents on a network using an incrementally-updatable system are disclosed. Computer readable medium having stored thereon computer-executable instructions for performing a method of ranking documents on a network using an incrementally-updatable system are also disclosed. Further, computing systems containing at least one application module, wherein the at least one application module comprises application code for performing methods of ranking documents on a network using an incrementally-updatable system are disclosed.

Abstract translation: 公开了使用可递增更新的系统对网络上的文档进行排序的方法。 还公开了其上存储有用于执行使用可递增更新系统在网络上对文档进行排序的方法的计算机可执行指令的计算机可读介质。 此外，公开了包含至少一个应用模块的计算系统，其中所述至少一个应用模块包括用于执行使用可递增更新的系统来对网络上的文档进行排序的方法的应用代码。

公开(公告)号：US07305413B2

公开(公告)日：2007-12-04

申请号：US11011808

申请日：2004-12-14

Applicant: William D. Ramsey ,  David N. Weise

Inventor： William D. Ramsey ,  David N. Weise

IPC: G06F7/00 ,  G06F17/30

CPC classification number: G06F17/2785 ,  Y10S707/99934 ,  Y10S707/99943

Abstract: A system for developing semantic schema for natural language processing has a semantic runtime engine and a semantic authoring tool. The semantic runtime engine is adapted to map a natural language input to a semantic schema and to return the mapped results to an application domain. The semantic authoring tool is adapted to receive user input for defining the semantic schema and to interact with the semantic runtime engine to test the semantic schema against a query.

Abstract translation: 用于开发用于自然语言处理的语义模式的系统具有语义运行时引擎和语义创作工具。 语义运行时引擎适于将自然语言输入映射到语义模式并将映射结果返回到应用程序域。 语义创作工具适于接收用于定义语义模式的用户输入并与语义运行时引擎交互以针对查询测试语义模式。