DISCOVERING OPTIMAL SYSTEM CONFIGURATIONS USING DECENTRALIZED PROBABILITY BASED ACTIVE SAMPLING
    82.
    发明公开
    DISCOVERING OPTIMAL SYSTEM CONFIGURATIONS USING DECENTRALIZED PROBABILITY BASED ACTIVE SAMPLING 审中-公开
    利用基于分散概率的有效抽样发现最优系统配置

    公开(公告)号:EP2208146A1

    公开(公告)日:2010-07-21

    申请号:EP08743687.9

    申请日:2008-03-05

    IPC分类号: G06F17/00 G06F19/00

    摘要: A system and method for optimizing system performance includes applying (160) sampling based optimization to identify optimal configurations of a computing system by selecting (162) a number of configuration samples and evaluating (166) system performance based on the samples. Based on feedback of evaluated samples, a location of an optimal configuration is inferred (170). Additional samples are generated (176) towards the location of the inferred optimal configuration to further optimize a system configuration.

    摘要翻译: 用于优化系统性能的系统和方法包括通过基于样本选择(162)多个配置样本并且评估(166)系统性能来应用(160)基于采样的优化以识别计算系统的最优配置。 基于评估样本的反馈,推断出最佳配置的位置(170)。 生成(176)朝向推断的最佳配置的位置的附加采样以进一步优化系统配置。

    Scheduling in multi-cell multi-carrier wireless systems
    84.
    发明公开
    Scheduling in multi-cell multi-carrier wireless systems 有权
    卡拉苏里南在迈阿密

    公开(公告)号:EP2101460A2

    公开(公告)日:2009-09-16

    申请号:EP09152679.8

    申请日:2009-02-12

    IPC分类号: H04L27/26

    摘要: Transmission is scheduled in a multi-cell multi-carrier wireless network. Assignments are determined for subcarriers by determining marginal gains for receivers, determining a receiver and an associated base station corresponding to a highest marginal gain, and assigning the receiver to the base station. These steps may be iteratively repeated until each of the receivers is assigned to a base station. The subcarriers are then allocated to the receivers by selecting the receiver with the highest gain. Alternatively, assignments are determined for subcarriers by determining a maximum additional queue size reduction, determining an assignment for each of the subcarriers, determining a receiver associated with a base station that has the determined maximum additional queue size reduction, assigning the receiver to the base station, and allocating the subcarriers to the receivers in the base stations.

    摘要翻译: 传输调度在多小区多载波无线网络中。 通过确定接收机的边际增益,确定与最高边际增益对应的接收机和相关联的基站,以及将接收机分配给基站,为子载波确定分配。 可以迭代地重复这些步骤,直到每个接收机被分配给基站。 然后通过选择具有最高增益的接收机将子载波分配给接收机。 或者,通过确定最大额外的队列大小减小来确定对于子载波的分配,确定每个子载波的分配,确定与具有确定的最大附加队列大小减小的基站相关联的接收机,将接收机分配给基站 ,并将子载波分配给基站中的接收机。

    METHODS AND SYSTEMS FOR DATA MANAGEMENT USING MULTIPLE SELECTION CRITERIA
    85.
    发明公开
    METHODS AND SYSTEMS FOR DATA MANAGEMENT USING MULTIPLE SELECTION CRITERIA 审中-公开
    数据管理的方法和系统使用多重选择准则

    公开(公告)号:EP2087418A1

    公开(公告)日:2009-08-12

    申请号:EP07854739.5

    申请日:2007-11-21

    IPC分类号: G06F7/24

    CPC分类号: G06F17/30159

    摘要: Systems and methods for data management and data processing are provided. Embodiments may include systems and methods relating to fast data selection with reasonably high quality results, and may include a faster data selection function and a slower data selection function. Various embodiments may include systems and methods relating to data hashing and/or data redundancy identification and elimination for a data set or a string of data. Embodiments may include a first selection function is used to pre-select boundary points or data blocks/windows from a data set or data stream and a second selection function is used to refine the boundary points or data blocks/windows. The second selection function may be better at determining the best places for boundary points or data blocks/windows in the data set or data stream. In various embodiments, data may be processed by a first faster hash function and slower more discriminating second hash function.

    Method and system for designing proteins
    86.
    发明公开
    Method and system for designing proteins 审中-公开
    方法和系统设计的蛋白质

    公开(公告)号:EP1199669A3

    公开(公告)日:2007-04-25

    申请号:EP01118368.8

    申请日:2001-07-27

    IPC分类号: G06F19/00

    CPC分类号: G06F19/16 G06F19/22

    摘要: The present invention provides a method and system for identifying, designing, and synthesizing proteins and protein backbones. The invention permits the qualitative identification of designable protein configurations and synthesis of protein folds. The method and system involve generating backbone protein configurations using a set of dihedral angle pairs, normalizing the total surface exposure of the configurations; generating a random set of sequences of hydrophobicities with uniform weight on the space of allowed sequences; determining, for each randomly generated sequence, which of the remaining configurations is the ground state; recording a ground-state configuration for each sequence wherein the desirable configurations are those containing the most sequences with that configuration as their ground state and finally,
        synthesizing sequences of amino acids for the desirable configurations.

    Spread kernel support vector machine
    87.
    发明公开
    Spread kernel support vector machine 有权
    支持者

    公开(公告)号:EP1770612A1

    公开(公告)日:2007-04-04

    申请号:EP06118759.7

    申请日:2006-08-10

    IPC分类号: G06N7/00

    CPC分类号: G06K9/6269 G06N99/005

    摘要: Disclosed is a parallel support vector machine technique for solving problems with a large set of training data where the kernel computation, as well as the kernel cache and the training data, are spread over a number of distributed machines or processors. A plurality of processing nodes are used to train a support vector machine based on a set of training data. Each of the processing nodes selects a local working set of training data based on data local to the processing node, for example a local subset of gradients. Each node transmits selected data related to the working set (e.g., gradients having a maximum value) and receives an identification of a global working set of training data. The processing node optimizes the global working set of training data and updates a portion of the gradients of the global working set of training data. The updating of a portion of the gradients may include generating a portion of a kernel matrix. These steps are repeated until a convergence condition is met. Each of the local processing nodes may store all, or only a portion of, the training data. While the steps of optimizing the global working set of training data, and updating a portion of the gradients of the global working set, are performed in each of the local processing nodes, the function of generating a global working set of training data is performed in a centralized fashion based on the selected data (e.g., gradients of the local working set) received from the individual processing nodes.

    摘要翻译: 公开了一种用于解决大量训练数据的问题的并行支持向量机技术,其中内核计算以及内核高速缓存和训练数据分布在多个分布式机器或处理器上。 多个处理节点用于基于一组训练数据来训练支持向量机。 每个处理节点基于处理节点本地的数据,例如梯度的本地子集,选择训练数据的本地工作集。 每个节点发送与工作集有关的所选数据(例如,具有最大值的梯度)并且接收训练数据的全局工作集合的标识。 处理节点优化训练数据的全局工作集,并更新训练数据全局工作组的一部分梯度。 梯度的一部分的更新可以包括生成内核矩阵的一部分。 重复这些步骤直到满足收敛条件。 每个本地处理节点可以存储训练数据的全部或仅一部分。 虽然在每个本地处理节点中执行优化训练数据的全局工作集合和更新全局工作集的一部分梯度的步骤,但是生成训练数据的全局工作集的功能在 基于从各个处理节点接收的所选择的数据(例如,本地工作集的梯度)的集中式。

    HYPER-CLASS AUGMENTED AND REGULARIZED DEEP LEARNING FOR FINE-GRAINED IMAGE CLASSIFICATION
    88.
    发明公开
    HYPER-CLASS AUGMENTED AND REGULARIZED DEEP LEARNING FOR FINE-GRAINED IMAGE CLASSIFICATION 审中-公开
    超粒子增强和规则化细粒度图像分类深度学习

    公开(公告)号:EP3218890A1

    公开(公告)日:2017-09-20

    申请号:EP15858182.7

    申请日:2015-10-16

    IPC分类号: G09B5/00 G09B25/02

    CPC分类号: G06N3/08 G06N3/0454 G06N3/084

    摘要: Systems and methods are disclosed for training a learning machine by augmenting data from fine-grained image recognition with labeled data annotated by one or more hyper-classes, performing multi-task deep learning; allowing fine-grained classification and hyper-class classification to share and learn the same feature layers; and applying regularization in the multi-task deep learning to exploit one or more relationships between the fine-grained classes and the hyper-classes.

    摘要翻译: 公开了系统和方法,用于通过利用由一个或多个超级类别注释的标记数据来增强来自细粒度图像识别的数据来训练学习机器,执行多任务深度学习; 允许细粒度分类和超类分类共享和学习相同的要素图层; 并在多任务深度学习中应用正则化来利用细粒度类和超类之间的一个或多个关系。

    TRANSPARENT DETECTION AND EXTRACTION OF RETURN-ORIENTED-PROGRAMMING ATTACKS
    89.
    发明公开
    TRANSPARENT DETECTION AND EXTRACTION OF RETURN-ORIENTED-PROGRAMMING ATTACKS 审中-公开
    透明检测和提取返回式编程攻击

    公开(公告)号:EP3175386A1

    公开(公告)日:2017-06-07

    申请号:EP15827986.9

    申请日:2015-07-30

    IPC分类号: G06F21/56 G06F21/50

    摘要: Systems and methods for detection and prevention of Return-Oriented-Programming (ROP) attacks in one or more applications, including an attack detection device and a stack inspection device for performing stack inspection to detect ROP gadgets in a stack. The stack inspection includes stack walking from a stack frame at a top of the stack toward a bottom of the stack to detect one or more failure conditions, determining whether a valid stack frame and return code address is present; and determining a failure condition type if no valid stack frame and return code is present, with Type III failure conditions indicating an ROP attack. The ROP attack is contained using a containment device, and the ROP gadgets detected in the stack during the ROP attack are analyzed using an attack analysis device.

    摘要翻译: 用于在一个或多个应用中检测和防止返回导向编程(ROP)攻击的系统和方法,包括用于执行堆栈检查以检测堆栈中的ROP小配件的攻击检测设备和堆栈检查设备。 堆栈检查包括堆栈从堆栈顶部的堆栈帧向堆栈底部行进以检测一个或多个故障条件,确定是否存在有效的堆栈帧和返回码地址; 如果不存在有效的堆栈帧和返回码,则确定故障条件类型,III类故障条件指示ROP攻击。 使用遏制设备来包含ROP攻击,并且使用攻击分析设备分析在ROP攻击期间在堆栈中检测到的ROP小配件。

    DYNAMIC BORDER LINE TRACING FOR TRACKING MESSAGE FLOWS ACROSS DISTRIBUTED SYSTEMS
    90.
    发明公开
    DYNAMIC BORDER LINE TRACING FOR TRACKING MESSAGE FLOWS ACROSS DISTRIBUTED SYSTEMS 审中-公开
    VERTEILTEN SYSTEMEN DYNAMISCHE GRENZLINIENORTUNG ZUR VERFOLGUNG VONNACHRICHTENSTRÖMEN

    公开(公告)号:EP3126960A1

    公开(公告)日:2017-02-08

    申请号:EP15774396.4

    申请日:2015-03-24

    IPC分类号: G06F9/30 G06F9/445

    CPC分类号: G06F11/3466

    摘要: The present invention enables capturing API level calls using a combination of dynamic instrumentation and library overriding. The invention allows event level tracing of API function calls and returns, and is able to generate an execution trace. The instrumentation is lightweight and relies on dynamic library/shared library linking mechanisms in most operating systems. Hence we need no source code modification or binary injection. The tool can be used to capture parameter values, and return values, which can be used to correlate traces across API function calls to generate transaction flow logic.

    摘要翻译: 本发明能够使用动态仪器和库覆盖的组合捕获API级别的调用。 本发明允许API函数调用和返回的事件级别跟踪,并且能够生成执行跟踪。 仪器是轻量级的,并且在大多数操作系统中都依赖于动态库/共享库链接机制。 因此,我们不需要源代码修改或二进制注入。 该工具可用于捕获参数值和返回值,这些值可用于在API函数调用之间关联跟踪以生成事务流逻辑。