초록 ▼

Home networks low-cost digital interfaces are introduced that integrate entertainment, communication and computing electronics into consumer multimedia. Normally, these are low-cost, easy to use systems, since they allow the user to remove or add any kind of network devices with the bus being active

Home networks low-cost digital interfaces are introduced that integrate entertainment, communication and computing electronics into consumer multimedia. Normally, these are low-cost, easy to use systems, since they allow the user to remove or add any kind of network devices with the bus being active. To improve the user interface a speech unit (2) is proposed that enables all devices (11) connected to the bus system (31) to be controlled by a single speech recognition device. The properties of this device, e.g. the vocabulary can be dynamically and actively extended by the consumer devices (11) connected to the bus system (31). The proposed technology is independent from a specific bus standard, e.g. the IEEE 1394 standard, and is well-suited for all kinds of wired wireless home networks. The speech unit (2) receives data and messages from the device. The speech unit (2) recognizes speaker-dependent commands. A Speech synthesizer synthesizes messages. A remotely controllable device (11) has access to a medium which may be a CD-ROM. The device may ask for a logical name or identifier.

대표청구항 ▼

Home networks low-cost digital interfaces are introduced that integrate entertainment, communication and computing electronics into consumer multimedia. Normally, these are low-cost, easy to use systems, since they allow the user to remove or add any kind of network devices with the bus being active

Home networks low-cost digital interfaces are introduced that integrate entertainment, communication and computing electronics into consumer multimedia. Normally, these are low-cost, easy to use systems, since they allow the user to remove or add any kind of network devices with the bus being active. To improve the user interface a speech unit (2) is proposed that enables all devices (11) connected to the bus system (31) to be controlled by a single speech recognition device. The properties of this device, e.g. the vocabulary can be dynamically and actively extended by the consumer devices (11) connected to the bus system (31). The proposed technology is independent from a specific bus standard, e.g. the IEEE 1394 standard, and is well-suited for all kinds of wired wireless home networks. The speech unit (2) receives data and messages from the device. The speech unit (2) recognizes speaker-dependent commands. A Speech synthesizer synthesizes messages. A remotely controllable device (11) has access to a medium which may be a CD-ROM. The device may ask for a logical name or identifier. 1. A method for analyzing an abnormal particle population in an experimental sample containing said particles comprising the steps of: generating a particle property distribution curve of said experimental sample in a particle analysis instrument, wherein said instrument provides electrical pulse data of a property of said particle recorded as a range of channel volume numbers and pulse frequency data; and wherein a plot of pulse frequency versus channel number produces said particle property distribution curve; determining a number or percentage of particles in a micro region and/or a macro region of said particle property distribution curve, said micro region located between the beginning of the curve and a lower threshold position, said macro region located between an upper threshold position and the end of the curve; and comparing the number or percentage of particles in the micro region and/or the macro region of said curve from said experimental sample with the number or percentage of particles in the corresponding micro region and/or macro region of an average particle property distribution curve based on multiple normal samples containing normal particles. 2. The method for analyzing an abnormal particle population according to claim 1, wherein said upper threshold position is located on the curve at the point located at the mean minus the particle property distribution index; wherein said lower threshold position is located on the curve at the point located at the mean plus the particle property distribution index; and wherein the distribution index is based on an average particle size distribution curve for multiple normal samples containing normal particles in said particle analysis instrument. 3. The method according to claim 2, wherein said particle property distribution index is double the standard deviation of at least two normal particle property distributions recorded by said instrument. 4. The method according to claim 1, wherein said instrument measures a parameter of each particle selected from the group consisting of direct current, radio frequency current, light scatter, fluorescence, and combinations thereof. 5. The method according to claim 3, wherein said standard deviation is calculated according to the equation: Standard Deviation=the square root of [{C-(A×D×D)}/(A-1)], 289306, 20010900, Van Der Vleuten et al., 704/211