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    • 4. 发明授权
    • Method of up-front load balancing for local memory parallel processors
    • 本地存储器并行处理器的前端负载平衡方法
    • US4920487A
    • 1990-04-24
    • US283106
    • 1988-12-12
    • Paul T. Baffes
    • Paul T. Baffes
    • G06F9/50
    • G06F9/5016G06F9/5066
    • In a parallel processing computer system with multiple processing units and shared memory, a method is disclosed for uniformly balancing the aggregate computational load in, and utilizing a minimal memory by, a network having identical computations to be executed at each connection therein. Read-only and read-write memory are subdivided into a plurality of partitions, and the computational load is subdivided into a plurality of process sets, which function like artificial processing units. Said plurality of process sets is iteratively merged and reduced to the number of processing units without exceeding the balance load. Merger is based upon the value of a partition threshold, which is a measure of the memory utilization. The turnaround time and memory savings of the instant method are functions of the number of processing units available and the number of partitions into which memory is subdivided.
    • 在具有多个处理单元和共享存储器的并行处理计算机系统中,公开了一种统一平衡在每个连接处执行相同计算的网络中的总计算负荷以及利用最小存储器的方法。 只读存储器和读写存储器被细分为多个分区,并且计算负载被细分为多个进程集合,其功能类似于人造处理单元。 所述多个处理集合被迭代地合并并减少到处理单元的数量而不超过平衡负载。 合并是基于分区阈值的值,它是内存利用率的度量。 即时方法的周转时间和存储器节省是可用的处理单元的数量和内存被细分的分区的数量的功能。
    • 5. 发明授权
    • System and method for dynamic knowledge generation and distribution
    • 动态知识生成和分配的系统和方法
    • US06292792B1
    • 2001-09-18
    • US09277861
    • 1999-03-26
    • Paul T. BaffesSiddarth SubramanianShane V. Nugent
    • Paul T. BaffesSiddarth SubramanianShane V. Nugent
    • G06F1518
    • G06N5/022
    • A system and method that includes the use of a knowledge delivery computer program stored in computer-readable form on a tangible storage medium for delivering concepts from a configuration data base to a user. An author can create the configuration data base using the knowledge delivery computer program so that the configuration includes a plurality of concepts and, optionally, a plurality of problems associated with the concepts. As the author creates the concepts within the configuration, the knowledge delivery software allows the author to create a taxonomy that defines the relationships between the concepts. The knowledge delivery software can then automatically generate a pedagogy for the configuration based on the configuration taxonomy that defines how the concepts will be delivered to the user. The knowledge delivery software can facilitate the delivery of the content within the configuration to a user according to the pedagogy.
    • 一种系统和方法,其包括使用存储在有形存储介质上的计算机可读形式的知识传递计算机程序,用于将概念从配置数据库传送到用户。 作者可以使用知识传递计算机程序来创建配置数据库,使得配置包括多个概念和可选地与概念相关联的多个问题。 当作者在配置中创建概念时,知识传递软件允许作者创建一个定义概念之间关系的分类法。 然后,知识传递软件可以根据定义如何将概念传递给用户的配置分类法自动生成用于配置的教学法。 知识传递软件可以根据教学法便利将配置内容传递给用户。
    • 6. 发明授权
    • General purpose architecture for intelligent computer-aided training
    • 智能计算机辅助培训的通用架构
    • US5311422A
    • 1994-05-10
    • US545235
    • 1990-06-28
    • R. Bowen LoftinLui WangPaul T. BaffesGrace C. Hua
    • R. Bowen LoftinLui WangPaul T. BaffesGrace C. Hua
    • G09B7/04G09B19/16G06F15/52
    • G09B7/04G09B19/165
    • A training system for use in a wide variety of training tasks and environments comprising a user interface simulating the same information available to a trainee in the task environment which allows the trainee to assert actions to the system; a domain expert which can use the same information available to the trainee and carry out the same task; a training session manager for evaluating such trainee assertions and providing guidance to the trainee appropriate to his acquired skill level; a trainee model which contains a history and summary of the trainee actions; an intelligent training scenario generator for designing increasingly complex training exercises based on the current skill level and any weaknesses or deficiencies that the trainee has exhibited in previous interactions; and a blackboard that provides a common fact base for communication between the other components of the system. The domain expert contains a list of "mal-rules" which typifies errors usually made by novice trainees. Also, the training session manager comprises "intelligent" error detection and error handling components. The present invention utilizes a rule-based language having a control structure using a specific message passing protocol for tasks which are procedural or step-by-step in structure. The trainee may reach "the solution" by any of a number of alternate valid paths.
    • 一种用于各种训练任务和环境的训练系统,包括模拟在任务环境中可接受实习者的相同信息的用户界面,其允许受训者向系统断言动作; 领域专家,可以使用与实习者相同的信息,并执行相同的任务; 培训课程经理,用于评估受训人员的主张,并向受训人员提供指导,以适应其获得的技能水平; 一个包含学员行为历史和总结的实习模式; 一个智能培训场景发生器,用于根据当前的技能水平以及受训学员在以前的交互中展示的任何弱点或缺陷来设计越来越复杂的训练练习; 以及为系统的其他组件之间的通信提供通用事实基础的黑板。 领域专家包含一些“错误规则”的列表,它们代表通常由新手学员进行的错误。 此外,训练会话管理器包括“智能”错误检测和错误处理组件。 本发明利用基于规则的语言,其具有使用特定消息传递协议的控制结构,用于在结构上是程序性的或逐步的任务。 实习者可以通过任何一些备用有效路径达成“解决方案”。
    • 9. 发明授权
    • Developing and assuring policy documents through a process of refinement and classification
    • 通过细化和分类的过程开发和确保政策文件
    • US07552472B2
    • 2009-06-23
    • US10324502
    • 2002-12-19
    • Paul T. BaffesJohn Michael GarrisonMichael GilfixAllan HsuTyron Jerrod Stading
    • Paul T. BaffesJohn Michael GarrisonMichael GilfixAllan HsuTyron Jerrod Stading
    • G06F15/177
    • H04L63/1416H04L63/20
    • A system and method for developing network policy document and assuring up-to-date monitoring and automated refinement and classification of the network policy. The system administrator defines an initial policy document that is provided as the initial symbolic classifier. The classification rules remain in human readable form throughout the process. Network system data is fed through the classifier, which labels the data according to whether a policy constraint is violated. The labels are tagged to the data. The user then reviews the labels to determine whether the classification is satisfactory. If the classification of the data is satisfactory, the label is unaltered; However, if the classification is not satisfactory, the data is re-labeled. The re-labeled data is then introduced into a refinement algorithm, which determines what policy must be modified to correct classification of network events in accordance with the re-labeling. The network administrator then inspects the resulting new policy and modifies it if necessary. An updated classifier replaces the previous classifier.
    • 一种用于开发网络策略文档并确保最新监控和网络策略的自动细化和分类的系统和方法。 系统管理员定义作为初始符号分类器提供的初始策略文档。 分类规则在整个过程中保持以人类可读的形式。 网络系统数据通过分类器馈送,分类器根据是否违反策略约束来标记数据。 标签被标记为数据。 用户然后审查标签以确定分类是否令人满意。 如果数据分类令人满意,则标签不变; 然而,如果分类不令人满意,则重新标记数据。 然后将重新标记的数据引入到细化算法中,该算法确定根据重新标记来确定哪些策略必须被修改以校正网络事件的分类。 然后,网络管理员检查生成的新策略,并在必要时对其进行修改。 更新的分类器将替换以前的分类器。