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    • 1. 发明授权
    • System and method for learning a weighted index to categorize objects
    • 用于学习加权索引以分类对象的系统和方法
    • US07756845B2
    • 2010-07-13
    • US11648323
    • 2006-12-28
    • Omid MadaniMichael James Connor
    • Omid MadaniMichael James Connor
    • G06F17/30
    • G06N99/005G06F17/30707
    • An improved system and method is provided for learning a weighted index to categorize objects using ranked recall. In an offline embodiment, a learning engine may learn a weighted index for classifying objects using ranked recall by training during an entire initial pass of a training sequence of a collection of objects. In an online embodiment, a learning engine may learn a weighted index for classifying objects using ranked recall by dynamically updating the weighted index as each instance of the collection of objects may be categorized. Advantageously, an instance of a large collection of objects may be accurately and efficiently recalled for many large scale applications with hundreds of thousands of categories by quickly identifying a small set of candidate categories for the given instance of the object.
    • 提供了一种改进的系统和方法,用于学习加权索引以使用排序回忆对对象进行分类。 在离线实施例中,学习引擎可以学习加权索引,用于在对象集合的训练序列的整个初始通过期间通过训练使用排序回忆来对对象进行分类。 在在线实施例中,学习引擎可以通过动态地更新加权索引来学习加权索引,用于对使用排序回忆进行分类的加权索引,因为每个对象集合的实例可以被分类。 有利的是,通过快速识别对象的给定实例的一小组候选类别,可以为具有成千上万个类别的许多大规模应用程序准确有效地调用大量对象的实例。
    • 3. 发明申请
    • Magnetically Integrated Current Reactor
    • 磁集成电流反应堆
    • US20110080055A1
    • 2011-04-07
    • US12948419
    • 2010-11-17
    • Richard DellaconaMichael James ConnorGilbert Amelio
    • Richard DellaconaMichael James ConnorGilbert Amelio
    • H01F38/14
    • G05F1/335
    • A system and method for delivering electrical power-on-demand to at least one load circuit wherein the system operates primarily with reactive power. The method includes inductively coupling power from a source in a primary circuit to one or more load circuits. The system is arranged to store magnetic energy in a core surrounded by planar coils positioned in parallel. The magnetic circuit is toroidal, symmetrical and circuitous. Magnetic energy is transferred between loads through the system. Back currents from the loads are able to be converted to magnetic field energy contributing to the total of stored energy available to the loads. Since the combined energy held in the system is primarily reactive, internal energy losses are small.
    • 一种用于向至少一个负载电路递送按需电力的系统和方法,其中所述系统主要以无功功率运行。 该方法包括将来自初级电路中的源的电力电感耦合到一个或多个负载电路。 该系统被布置成将磁能存储在由平行定位的平面线圈包围的芯中。 磁路是环形的,对称的和迂回的。 通过系统在载荷之间传递磁能。 来自负载的反向电流能够被转换成磁场能量,其对负载可用的存储能量的总和有贡献。 由于系统中的组合能量主要是反应性的,因此内部能量损失很小。
    • 5. 发明授权
    • Method and service for securing a system networked to a cloud computing environment from malicious code attacks
    • 保护与云计算环境联网的系统免受恶意代码攻击的方法和服务
    • US08745713B1
    • 2014-06-03
    • US13606410
    • 2012-09-07
    • Michael James Connor
    • Michael James Connor
    • H04L29/06H04L9/32
    • H04L63/0838H04L63/14
    • A system and method to prevent the installation by a hacker of malicious software onto networked electronic systems, computers, and the like, by removing the read, write and execute administrator permission files of a system's OS, and placing them in a in a separate, protected server in the cloud. The secure cloud server records the system's unique ID(s). After relocation of the authorized administrator's permissions files, a strong password is requested from the authorized administrator. Thereafter, the network path to the secure cloud server files is encrypted and recorded on the protected system. This path change replaces the former local path in the computer system to those files. The result of these changes to the OS on a protected system eliminates the hacker's access to the system from a network to illicitly become an administrator of the hacked system.
    • 一种系统和方法,用于通过去除系统的OS的读取,写入和执行管理员权限文件来防止黑客将恶意软件安装到联网的电子系统,计算机等上,并将它们放置在单独的, 保护服务器在云中。 安全云服务器记录系统的唯一ID。 在授权管理员权限文件重定位后,授权管理员要求强密码。 此后,将安全云服务器文件的网络路径加密并记录在受保护的系统上。 此路径更改将计算机系统中的前一个本地路径替换为这些文件。 受保护系统对操作系统的这些更改的结果消除了黑客从网络访问系统,非法成为被黑客系统的管理员。
    • 6. 发明授权
    • Magnetically integrated current reactor
    • 磁集成电流反应堆
    • US08178998B2
    • 2012-05-15
    • US12948419
    • 2010-11-17
    • Richard DellaconaMichael James ConnorGilbert Amelio
    • Richard DellaconaMichael James ConnorGilbert Amelio
    • H01F27/42
    • G05F1/335
    • A system and method for delivering electrical power-on-demand to at least one load circuit wherein the system operates primarily with reactive power. The method includes inductively coupling power from a source in a primary circuit to one or more load circuits. The system is arranged to store magnetic energy in a core surrounded by planar coils positioned in parallel. The magnetic circuit is toroidal, symmetrical and circuitous. Magnetic energy is transferred between loads through the system. Back currents from the loads are able to be converted to magnetic field energy contributing to the total of stored energy available to the loads. Since the combined energy held in the system is primarily reactive, internal energy losses are small.
    • 一种用于向至少一个负载电路递送按需电力的系统和方法,其中所述系统主要以无功功率运行。 该方法包括将来自初级电路中的源的电力电感耦合到一个或多个负载电路。 该系统被布置成将磁能存储在由平行定位的平面线圈包围的芯中。 磁路是环形的,对称的和迂回的。 通过系统在载荷之间传递磁能。 来自负载的反向电流能够被转换成磁场能量,其对负载可用的存储能量的总和有贡献。 由于系统中的组合能量主要是反应性的,因此内部能量损失很小。
    • 7. 发明申请
    • System and method for learning a weighted index to categorize objects
    • 用于学习加权索引以分类对象的系统和方法
    • US20080162385A1
    • 2008-07-03
    • US11648323
    • 2006-12-28
    • Omid MadaniMichael James Connor
    • Omid MadaniMichael James Connor
    • G06F15/18
    • G06N99/005G06F17/30707
    • An improved system and method is provided for learning a weighted index to categorize objects using ranked recall. In an offline embodiment, a learning engine may learn a weighted index for classifying objects using ranked recall by training during an entire initial pass of a training sequence of a collection of objects. In an online embodiment, a learning engine may learn a weighted index for classifying objects using ranked recall by dynamically updating the weighted index as each instance of the collection of objects may be categorized. Advantageously, an instance of a large collection of objects may be accurately and efficiently recalled for many large scale applications with hundreds of thousands of categories by quickly identifying a small set of candidate categories for the given instance of the object.
    • 提供了一种改进的系统和方法,用于学习加权索引以使用排序回忆对对象进行分类。 在离线实施例中,学习引擎可以学习加权索引,用于在对象集合的训练序列的整个初始通过期间通过训练使用排序回忆来对对象进行分类。 在在线实施例中,学习引擎可以通过动态地更新加权索引来学习加权索引,用于使用排序回忆对对象进行分类,因为每个对象集合的实例可以被分类。 有利地,通过快速识别对象的给定实例的一小组候选类别,可以为具有成千上万个类别的许多大规模应用程序准确有效地调用大量对象的实例。