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    • 2. 发明申请
    • MICROENCAPSULATED WATER/OIL/WATER EMULSIONS HAVING HIGH ENCAPSULATION EFFICIENCY
    • 具有高封闭效率的微胶囊水/油/水乳液
    • WO2015103195A1
    • 2015-07-09
    • PCT/US2014/072659
    • 2014-12-30
    • BASF SEGEORGIA INSTITUTE OF TECHNOLOGY
    • AUWETER, HelmutSHITTA, AbiolaWANG, HongzhiBEHRENS, Sven HolgerXU, Wen
    • B01J13/16
    • B01J13/16
    • Disclosed are improved water in oil in water double emulsions that are suitable for use in combination with an active agent, such as a pesticide active ingredient, for extended release products. The double emulsions are prepared using suitable osmolytes such that the majority of the resulting emulsion droplets include a single aqueous core inside of the oil phase, which results in a more consistent and predictable release profile for the active ingredient. In many embodiments, the double emulsions may be prepared using colloidal particles as stabilizers, thus negating the need for the use of conventional emulsifiers, which reduces the potential toxicity of the double emulsion and results in a more environmentally friendly and acceptable commercial product. Additionally, in many embodiments the double emulsions are prepared such that they are encapsulated with a shell-impermeable polymer to improve encapsulation efficiency such that a greater percentage of the active agent remains in a desired location and does not "leak" into less desired portions of the emulsion. The encapsulation processes described herein result in the formation of a polymeric protective layer at both water/oil interfaces such that the two separate, distinct encapsulation layers are formed.
    • 公开了适用于与活性剂如农药活性成分组合用于延长释放产物的改进的水包油双水乳液。 使用合适的渗透剂制备双重乳液,使得大部分所得的乳液液滴包含在油相内部的单一水性核心,这导致活性成分的更一致和可预测的释放曲线。 在许多实施方案中,双重乳液可以使用胶体颗粒作为稳定剂来制备,因此不需要使用常规的乳化剂,这降低了双重乳液的潜在毒性并导致更环保且可接受的市售产品。 此外,在许多实施方案中,制备双重乳液使得它们用不可渗透的聚合物包封以提高包封效率,使得较大百分比的活性剂保留在期望的位置并且不会“泄漏”到较不期望的部分 乳液。 这里描述的包封方法导致在水/油界面处形成聚合物保护层,使得形成两个分离的不同的包封层。
    • 4. 发明申请
    • COMPRESSIVE SENSING SYSTEM AND METHOD FOR BEARING ESTIMATION OF SPARSE SOURCES IN THE ANGLE DOMAIN
    • 压缩感测系统及方法用于轴角估计角度域
    • WO2009059279A1
    • 2009-05-07
    • PCT/US2008/082210
    • 2008-11-03
    • UNIVERSITY OF MARYLANDGEORGIA INSTITUTE OF TECHNOLOGY
    • CEVHER, VolkanGURBUZ, AIi CaferMCCLELLAN, James H.CHELLAPPA, Ramalingam
    • G01S3/802G01S3/80
    • G01S3/8006G01S3/801
    • Compressive Sensing (CS) is an emerging area which uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or com¬ pressible signals. Direction-of-arrival (DOA) estimation is performed with an array of sensors using CS. Using random projections of the sensor data, along with a full waveform recording on one reference sensor, a sparse angle space scenario can be reconstructed, giving the number of sources and their DOA's. Signal processing algorithms are also developed and described herein for randomly deployable wireless sensor arrays that are severely constrained in communication bandwidth. There is a focus on the acoustic bearing estimation problem and it is shown that when the target bearings are modeled as a sparse vector in the angle space, functions of the low dimensional random projections of the microphone signals can be used to determine multiple source bearings as a solution of an l]-norm minimization problem.
    • 压缩感知(CS)是一种新兴领域,其使用相对较少数量的非随机投影形式的非传统样本来重构稀疏或可压缩信号。 到达方向(DOA)估计使用CS的传感器阵列进行。 使用传感器数据的随机投影,以及在一个参考传感器上的全波形记录,可以重建稀疏角空间场景,给出源数量及其DOA。 本文还开发和描述了信号处理算法,用于在通信带宽中受到严格限制的随机可布置的无线传感器阵列。 关注声轴承估计问题,并且显示当目标轴承被建模为角度空间中的稀疏矢量时,可以使用麦克风信号的低维随机投影的函数来确定多个源轴承为 l] - 最小化问题的解决方案。