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    • 11. 发明授权
    • Dusting method and corresponding dusting device
    • 除尘方法及相应的除尘装置
    • US08298342B2
    • 2012-10-30
    • US12681264
    • 2008-10-01
    • Juergen HaasAlexander MeissnerMarcus Frey
    • Juergen HaasAlexander MeissnerMarcus Frey
    • E01H1/02B08B7/00
    • A46B13/02A46B3/18A46B2200/3026A46B2200/3046B08B1/008
    • A dedusting device and method is disclosed for the dry or moist dedusting (i.e., cleaning, dusting, or removal of dirt, dust, or other debris) from components, e.g., of motor vehicles. An exemplary method may generally include positioning a dusting tool driven by a drive motor in a predetermined dusting position such that the tool contacts or touches the component, and determining a first operating variable of the drive motor of the dusting tool when positioning the dusting tool in the predetermined dusting position. The first operating variable may reflect a mechanical load of the drive motor due to the contact with the component to be dusted. The method may further include calculating a corrected dusting position as a function of the predetermined dusting position and the first operating variable of the drive motor, and positioning the dusting tool in the corrected dusting position.
    • 公开了用于干燥或潮湿除尘(即,清洁,除尘或除去污垢,灰尘或其它碎屑)的除尘装置和方法,例如机动车辆的部件。 示例性方法通常可以包括将由驱动电动机驱动的除尘工具定位在预定的除尘位置,使得工具接触或接触该部件,并且当将除尘工具定位时,确定除尘工具的驱动电动机的第一操作变量 预定的除尘位置。 第一个操作变量可能会反映由于与待除尘部件的接触而导致的驱动电机的机械负载。 该方法可以进一步包括根据预定的除尘位置和驱动电动机的第一操作变量来计算校正的除尘位置,并将该除尘工具定位在校正的除尘位置。
    • 15. 发明授权
    • Combined adder and logic unit
    • 组合加法器和逻辑单元
    • US5944772A
    • 1999-08-31
    • US970076
    • 1997-11-13
    • Juergen HaasWilhelm HallerUlrich KrauchThomas LudwigHolger Wetter
    • Juergen HaasWilhelm HallerUlrich KrauchThomas LudwigHolger Wetter
    • G06F7/50G06F7/575
    • G06F7/575G06F7/507G06F7/508
    • A combined adder and logic unit having a reduced operation delay of arithmetic and logic operations, and providing an improved fan in and reduced wiring delays and capacity if implemented in the arithmetic and logic section of a microprocessor chip. The unit comprises a carry network (30) connected to operand inputs for generating carry-out signals of the byte positions (By0-By7) and further comprises a pre-sum logic (32) having a bit function generator (42) and a sum generator (45, 46, 48). Said bit function generator derives from the operands Ai and Bi bit functions Gi, Pi which are provided as logic function output and as input to said sum generator for producing preliminary arithmetic functions (SUM0, SUM1) to anticipate carry-in signals of one or zero. A result selector (70) is controlled by a byte position carry-out signal (Cy55) from the carry network means and by operation control signals to select from the output of said pre-sum logic one of the arithmetic functions (SUM0, SUM1) or one of the logic functions as result of the unit operation.
    • 组合加法器和逻辑单元具有减小的运算和逻辑运算的运算延迟,并且如果在微处理器芯片的算术和逻辑部分中实现,则提供改进的风扇并降低布线延迟和容量。 该单元包括连接到操作数输入的进位网络(30),用于产生字节位置(By0-By7)的进位信号,并且还包括具有位函数发生器(42)的和和逻辑(32)和总和 发电机(45,46,48)。 所述比特函数发生器从作为逻辑功能输出提供的操作数Ai和Bi比特函数Gi,Pi导出,并作为用于产生预计算函数(SUM0,SUM1)的所述和发生器的输入,以预期一或零的进位信号 。 结果选择器(70)由来自携带网络装置的字节位置执行输出信号(Cy55)和操作控制信号控制,以从所述算术功能(SUM0,SUM1)之一的所述并行逻辑逻辑的输出中进行选择, 或作为单元操作的结果的逻辑功能之一。
    • 16. 发明授权
    • Selective gas sensor
    • 选择性气体传感器
    • US5143696A
    • 1992-09-01
    • US605511
    • 1990-10-30
    • Juergen HaasCarsten Plog
    • Juergen HaasCarsten Plog
    • G01N27/22
    • G01N27/225G01N27/221
    • A sensor for selective determination of gases includes an electric capacitor having a gas permeable zeolite layer between 2 and 500 micrometer thick and being composed of a dielectric crystalline structure with a crystal size from 0.1 micrometer to 80 micrometer and having primary pores resulting in an internal surface from 100 to 1500 m.sup.2 /g, the diameter of the pores being between 0.1 and 1.5 nm which corresponds at least in order to magnitude to the kinetic diameter of the molecules of the gas to be detected, so that these molecules penetrate deep into the layer and its pores thereby changing the dielectric constant of the layer.
    • 用于选择性测定气体的传感器包括具有2至500微米厚的气体可渗透沸石层的电容器,并且由具有0.1微米至80微米的晶体尺寸的介电晶体结构构成,并具有导致内表面的初级孔 从100至1500m2 / g,孔的直径在0.1和1.5nm之间,其至少对应于待检测气体的分子的动力学直径的大小,使得这些分子深入层 和其孔隙从而改变该层的介电常数。
    • 19. 发明授权
    • Method and system for computationally identifying clusters within a set
of sequences
    • 用于计算地识别一组序列内的簇的方法和系统
    • US6109776A
    • 2000-08-29
    • US63450
    • 1998-04-21
    • Juergen Haas
    • Juergen Haas
    • G06F17/30G06F19/22G06F19/24G01N1/00C12Q1/68G01N31/00G06G7/48
    • G06F19/24G06F19/22
    • A method and system for computationally analyzing an initial set of patterns in order to identify subsets of patterns, called clusters, that contain common sub-patterns. The patterns of the initial set of patterns are represented as linear sequences of subunits, and the common sub-patterns occur as sub-sequences of subunits within the linear sequences starting at different positions within the different linear sequences. Variations in the offset and in the sequence of subunits within a common sub-pattern are considered in the analysis. In one embodiment, an initial set of oligonucleotide sequences that are produced by various biochemical techniques are computationally analyzed to identify clusters that may correspond to a number of different binding sites for DNA-binding proteins within one or more double-stranded DNA duplexes. The method places each oligonucleotide sequence within a new cluster and calculates an initial information weight matrix for that cluster. Then, other sequences from the initial set of sequences are added to the cluster and the information weight matrix of the cluster is re-computed until the information content of the information weight matrix falls below a threshold value.
    • 一种用于计算分析初始图案集的方法和系统,以便识别包含公共子模式的称为簇的图案子集。 初始模式集合的模式被表示为子单元的线性序列,并且公共子模式作为从不同线性序列内的不同位置开始的线性序列内的子单元的子序列出现。 在分析中考虑了共同子模式中偏移量和子单元序列的变化。 在一个实施方案中,通过各种生物化学技术产生的初始寡核苷酸序列集合被计算分析以鉴定可以对应于一个或多个双链DNA双链体内DNA结合蛋白的多个不同结合位点的簇。 该方法将每个寡核苷酸序列置于新的簇内,并计算该簇的初始信息权重矩阵。 然后,将来自初始序列集合的其他序列添加到群集,并且重新计算群集的信息加权矩阵,直到信息加权矩阵的信息内容低于阈值。