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    • 4. 发明申请
    • NITRATED EXTREME PRESSURE ADDITIVES AND BLENDS
    • 硝酸的极压添加剂和混合物
    • US20070270509A1
    • 2007-11-22
    • US11778373
    • 2007-07-16
    • Duong Nguyen
    • Duong Nguyen
    • B01F3/08B01F17/00C09K3/00
    • C10M133/32C10M2203/024C10M2205/026C10M2207/023C10M2207/126C10M2207/283C10M2207/40C10M2209/109C10M2215/202C10N2230/06C10N2240/401C10N2270/00C10N2260/09
    • This invention relates to products and processes for making extreme-pressure additives (water-dispersible and oil-based) using starting compounds based on nitro moieties derived from C2-C30 unsaturated fatty acids; C2-C30 unsaturated natural fatty oils or triglycerides; synthetic esters derived from the reaction of C1-C20 alcohols with unsaturated C2-C30 fatty acids; polyglycol esters of unsaturated fatty acids; C2-C20 terminal or internal olefins; C2-C20 polyolefins; C4-C20 polydiolefins; C8-C20 copolymers derived from polyolefins and vinyl aromatics; and C4-C30 alkylated phenols, using nitric acid or gaseous nitrogen dioxide as nitrating agents, followed by chemical modifications involving the synthesis of alkanolamine salts or alkanolamides of nitrated fatty acids or ethoxylated nitrated fatty esters. Other aspects of the invention include additive blends and a process of using synergistic combinations of nitro compounds derived from the above compounds with non-chlorine containing additives such as sulfurized and phosphates, and also a process of making soluble oils with nitro novel additives using emulsifier blends. These combinations of extreme-pressure additives (oil-soluble, water-dispersible) and blends were found to be effective in the processing and lubrication of a wide variety of metals, especially steel, stainless steel, titanium, nickel-based, chromium-based, aluminum, and their nonferrous or low-ferrous special alloys.
    • 本发明涉及使用基于衍生自C 2 -C 30的硝基部分的起始化合物制备极压添加剂(水分散性和油基)的产品和方法。 不饱和脂肪酸; C 2 -C 30不饱和天然脂肪油或甘油三酸酯; 衍生自C 1 -C 20 -C 20醇与不饱和C 2 -C 30脂肪酸的反应的合成酯 ; 不饱和脂肪酸的聚乙二醇酯; C 2 -C 20末端或内烯烃; C 2 -C 20聚烯烃; C 4 -C 20二聚烯烃; 衍生自聚烯烃和乙烯基芳族化合物的C 8 -C 20 -C 20共聚物; 和C 4 -C 30烷基化的酚,使用硝酸或气态二氧化氮作为硝化剂,然后进行化学修饰,其涉及硝基脂肪酸的链烷醇胺盐或链烷醇酰胺的合成 或乙氧基化硝化脂肪酸酯。 本发明的其它方面包括添加剂共混物和使用由上述化合物衍生的硝基化合物与非含氯添加剂如硫化和磷酸盐的协同组合的方法,以及使用乳化剂共混物制备具有硝基新添加剂的可溶性油的方法 。 发现这些极压添加剂(油溶性,水分散性)和共混物的组合在各种金属,特别是钢,不锈钢,钛,镍基,铬基等的加工和润滑中是有效的 铝,及其有色金属或有色金属特种合金。
    • 5. 发明授权
    • Fuzzy genetic learning automata classifier
    • 模糊遗传学习自动机分类器
    • US06839698B2
    • 2005-01-04
    • US09925866
    • 2001-08-09
    • Duong NguyenScott A. ImhoffSusan R. Kent
    • Duong NguyenScott A. ImhoffSusan R. Kent
    • G06K9/00G06N3/12G06N7/02G06N5/02
    • G06K9/00536G06N3/126G06N7/023
    • A method is provided for deriving a near-optimal fuzzy automaton for a given separation problem. The method includes the steps of: forming a first generation population (24) of fuzzy automata, where the first generation population of fuzzy automata includes a plurality of fuzzy automata; performing a mutation operation (28) on each fuzzy automaton in the first generation population of fuzzy automata; reproducing the first generation population of fuzzy automata using a survival of the fittest operation (30, 32, 34); and applying a cross-over operator (36) to the reproduced first generation population of fuzzy automata, thereby yielding a next-generation population of fuzzy automata. A near-optimal fuzzy automaton is identified by evaluating the performance (38) of each fuzzy automaton in the next-generation population; otherwise the methodology is repeated until a near-optimal fuzzy automaton is derived for the given separation problem.
    • 提供了一种用于为给定分离问题导出近似最优模糊自动机的方法。 该方法包括以下步骤:形成模糊自动机的第一代人群(24),其中第一代模糊自动机群包括多个模糊自动机; 对模糊自动机的第一代人群中的每个模糊自动机进行变异操作(28); 使用适者生存操作来再现模糊自动机的第一代人群(30,32,34); 并将交叉运算符(36)应用于再现的第一代模糊自动机群,从而产生下一代模糊自动机群。 通过评估下一代人群中每个模糊自动机的性能(38)来确定近似最优模糊自动机; 否则重复该方法,直到为给定的分离问题导出近似最优的模糊自动机。
    • 6. 发明授权
    • System and method for sensor tasking
    • 传感器任务的系统和方法
    • US08972306B2
    • 2015-03-03
    • US11848990
    • 2007-08-31
    • Duong NguyenMichael T. HamptonAnthony M. Janoso
    • Duong NguyenMichael T. HamptonAnthony M. Janoso
    • G06N5/00G06F1/00G01S13/72G06N3/04G06Q10/06G01S13/86
    • G01S13/726G01S13/867G06N3/0436G06Q10/06
    • A system for sensor tasking includes a plurality of sensors operable to perform one or more tasks and a processor. The processor may receive a mission, wherein the mission comprises one or more tasks to be performed by one or more of the plurality of sensors. The processor may also receive one or more environmental conditions associated with the mission and generate a fuzzy cognitive map. The fuzzy cognitive map includes a plurality of nodes and weighted links, wherein one or more of the plurality of nodes are associated with one or more of the environmental conditions. The processor may be further operable to select one or more of the plurality of sensors to perform each of the one or more tasks based at least on a state of the fuzzy cognitive map and schedule each of the one or more tasks to be performed by the respective selected one or more sensors.
    • 用于传感器任务的系统包括可操作以执行一个或多个任务的多个传感器和处理器。 处理器可以接收任务,其中任务包括由多个传感器中的一个或多个执行的一个或多个任务。 处理器还可以接收与任务相关联的一个或多个环境条件并产生模糊认知图。 模糊认知图包括多个节点和加权链路,其中多个节点中的一个或多个与一个或多个环境条件相关联。 所述处理器还可操作以选择所述多个传感器中的一个或多个以至少基于所述模糊认知图的状态来执行所述一个或多个任务中的每一个,并且调度由所述一个或多个任务执行的所述一个或多个任务中的每一个 相应选择的一个或多个传感器。
    • 9. 发明授权
    • Fetal outcome predictor and monitoring system
    • 胎儿结局预测和监测系统
    • US06254537B1
    • 2001-07-03
    • US09398178
    • 1999-09-17
    • Duong Nguyen
    • Duong Nguyen
    • A61B500
    • A61B5/02411A61B5/4356A61B5/4362A61B5/7264A61B5/7267Y10S128/92
    • A fetal health assessor and outcome predictor and monitoring system includes a system for automatically assessing fetal health and predicting fetal outcomes based on fetal and maternal data. The system includes a case-based reasoning processor for categorizing the fetus into one of a plurality of cases based on biographical data about the fetus and mother. The system also includes a transducer for converting physical conditions of the fetus and mother (e.g. characteristics based on heart rates and uterine contractions) to signals representative of the conditions. A computer processor converts the signals to a set of signal features. An assessor and predictor receives the processed signal features and assesses fetal health and predicts fetal outcome based on identified fuzzy relationships between fetal and maternal data and fetal outcomes.
    • 胎儿健康评估者和结果预测和监测系统包括一个自动评估胎儿健康和基于胎儿和母亲数据预测胎儿结局的系统。 该系统包括基于病例的推理处理器,用于基于关于胎儿和母亲的传记数据将胎儿分类为多个病例之一。 该系统还包括用于将胎儿和母亲的身体状况(例如基于心率和子宫收缩的特征)转换为代表条件的信号的换能器。 计算机处理器将信号转换成一组信号特征。 评估者和预测者接收经处理的信号特征并评估胎儿健康状况,并根据胎儿和母亲数据与胎儿结果之间确定的模糊关系预测胎儿结果。
    • 10. 发明授权
    • System and method for sensor scheduling using fuzzy cognitive maps
    • 使用模糊认知图的传感器调度的系统和方法
    • US08201181B2
    • 2012-06-12
    • US11849016
    • 2007-08-31
    • Duong NguyenMichael T. HamptonAnthony M. Janoso
    • Duong NguyenMichael T. HamptonAnthony M. Janoso
    • G06F9/46G06F11/00
    • G01S13/726G01S13/867
    • A system for sensor scheduling includes a plurality of sensors operable to perform one or more tasks and a processor operable to receive one or more missions and one or more environmental conditions associated with a respective mission. Each mission may include one or more tasks to be performed by one or more of the plurality of sensors. The processor is further operable to select one or more of the plurality of sensors to perform a respective task associated with the respective mission. The processor may also schedule the respective task to be performed by the selected one or more sensors. The scheduling is based at least on a task value that is determined based on an options pricing model. The options pricing model is based at least on the importance of the respective task to the success of the respective mission and one or more scheduling demands.
    • 用于传感器调度的系统包括可操作以执行一个或多个任务的多个传感器和可操作以接收与相应任务相关联的一个或多个任务和一个或多个环境条件的处理器。 每个任务可以包括由多个传感器中的一个或多个执行的一个或多个任务。 处理器还可操作以选择多个传感器中的一个或多个以执行与相应任务相关联的相应任务。 处理器还可以调度相应的任务由所选择的一个或多个传感器执行。 调度至少基于基于期权定价模型确定的任务值。 期权定价模型至少基于相应任务对相应任务的成功和一个或多个调度需求的重要性。