会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 5. 发明授权
    • Distributed optical fiber temperature sensor based on optical fiber delay
    • 基于光纤延迟的分布式光纤温度传感器
    • US08734011B2
    • 2014-05-27
    • US13464991
    • 2012-05-06
    • Qi QiuJun SuShuangjin ShiYun LiaoCaidong Xiong
    • Qi QiuJun SuShuangjin ShiYun LiaoCaidong Xiong
    • G01K11/00G02B6/00
    • G01K11/32
    • The present invention discloses distributed optical fiber temperature sensor based on optical fiber delay technology, including a tunable optical transmitter module, an optical receiver module, a signal processing and controlling module and multiple distributed sensing modules connected in series via transmission fibers. The multiple wavelengths optical signals transmitted from the tunable optical transmitter module respectively are transmitted into the first sensing module, and then transmitted out from the last sensing module. The output multiple wavelengths optical signals arrive at the optical receiver module. The optical receiver module converts optical signals of all wavelengths into electrical signals and transmits them into the signal processing and controlling module. The signal processing and controlling module measures transmission delay time of optical signal of each wavelength respectively, and calculates and obtains the temperature parameters of corresponding distributed testing positions based on the relative delay time.
    • 本发明公开了一种基于光纤延迟技术的分布式光纤温度传感器,包括可调谐光发射机模块,光接收模块,信号处理和控制模块以及通过传输光纤串联连接的多个分布式感测模块。 从可调谐光发射机模块发送的多波长光信号分别传送到第一感测模块,然后从最后一个感测模块传出。 输出多波长光信号到达光接收模块。 光接收模块将所有波长的光信号转换为电信号,并将其传输到信号处理和控制模块。 信号处理和控制模块分别测量每个波长的光信号的传输延迟时间,并根据相对延迟时间计算并获得相应的分布测试位置的温度参数。
    • 6. 发明授权
    • Transparently externalizing plug-in computation to cluster
    • 透明地将插件计算外部化到集群
    • US07908375B2
    • 2011-03-15
    • US11776229
    • 2007-07-11
    • Tianchi MaJun SuMingqiang XuYun Jin
    • Tianchi MaJun SuMingqiang XuYun Jin
    • G06F15/173
    • G06F9/5072G06F9/5055G06F9/541
    • External processing of a request directed to an external software program from an invocation source to a cluster of computing devices. A wrapper tool is provided for processing the request from the invocation source. The request includes operations to be performed by the external software program on the host computer. The wrapper tool intercepted the request and extracts information included in the intercepted request. The extracted information is transmitted to a cluster scheduler. The cluster scheduler identifies a set of computing devices in the cluster of computing devices for processing the request. The identified set of computing devices processes the intercepted request as a function of the intercepted request, the information and the invocation source. A result is provided in response to the processed request from the identified set of computing devices to the invocation source.
    • 将外部软件程序的请求从调用源外部处理到计算设备的集群。 提供了一个包装工具来处理来自调用源的请求。 该请求包括由主机计算机上的外部软件程序执行的操作。 包装工具拦截了请求,并提取了被截获的请求中包含的信息。 提取的信息被发送到群集调度器。 集群调度器识别用于处理请求的计算设备的集群中的一组计算设备。 所识别的计算设备集合根据截获的请求,信息和调用源来处理截获的请求。 响应于从识别的计算设备组到调用源的处理的请求而提供结果。
    • 10. 发明申请
    • Multilevel Multipath Widely Distributed Computational Node Scenarios
    • 多层次多径广泛分布式计算节点情景
    • US20120209901A1
    • 2012-08-16
    • US13026218
    • 2011-02-12
    • Mingqiang XuJun SuGregory M. BurgessTianchi MaSalim AlamRich Ciapala
    • Mingqiang XuJun SuGregory M. BurgessTianchi MaSalim AlamRich Ciapala
    • G06F15/16
    • H04L47/70G06F9/505G06F2209/5015H04L67/1097H04L67/28H04L67/32
    • An application combines on-site and cloud-based calculations. The application selects a cloud computing broker from a list sorted by load. The broker receives computation requests from the application, sends corresponding load-balanced requests to local application service hosts and cloud proxies, receives responses, and sends the responses to the application without identifying the response source as local versus non-local. Each proxy has a logical-physical mapping of cloud-resident worker nodes. A scheduler receives session requests from applications, allocates local and cloud computing resources to a session, and tracks resource usage by session. An application previously run only on-premises can be executed partially on cloud worker nodes without modification. The proxy re-routes unfulfilled requests from a failed worker, undetected by the broker. If all workers assigned to that proxy fail, then the broker reassigns unfulfilled requests to another proxy, undetected by the application.
    • 应用程序结合了现场和基于云的计算。 应用程序从按负载排序的列表中选择一个云计算代理。 经纪人从应用程序接收计算请求,向本地应用服务主机和云代理发送相应的负载平衡请求,接收响应,并将响应发送到应用程序,而不将响应源标识为本地与非本地。 每个代理具有云驻留工作者节点的逻辑物理映射。 调度程序从应用程序接收会话请求,将本地和云计算资源分配给会话,并按会话跟踪资源使用情况。 以前仅在内部运行的应用程序可以部分地在云工作者节点上执行,而无需修改。 该代理将重新路由一个失败的工作的未实现的请求,不被代理检测。 如果分配给该代理的所有工作都失败,则代理将未实现的请求重新分配给另一个代理,不会被应用程序检测到。