Motorola Corporation

Caterpillar Inc.

Matthew A Hartman

Mark A Jasiuk

Ira A Gerson

Daniel Edward Shearer

Mark D Shane

Xiaojun Zhang

Craig B Kelley

Bernie D Lunsford

Adam J Gudat

William M Kushner

Susan M Boast

Edward Srenger

Michael I Cline

A system and method for automatically adjusting the blade of a motor grader to an operator programmed blade position. The method includes the steps of: providing an electronic controller and blade controls having position sensors; monitoring the output of the position sensors to ascertain the position of the blade controls; receiving a first input signal for setting a memory blade position; determining the memory blade position based on the output of the position sensors; receiving a second input signal for requesting the memory blade position; determining the present blade position based on the output of the position sensors; and producing a control signal for actuating the blade controls to move the blade from the present blade position to the memory blade position.

Method for automatically positioning the blade of a motor grader to a memory position

A method for automatically rotating a motor grader to a predetermined articulation angle. The method includes the steps of: providing an electronic controller, a displacement sensor, articulation cylinders, and an input switch; obtaining information from the displacement sensor indicating the present articulation angle of the motor grader; receiving an input signal from the input switch requesting a predetermined articulation angle; and producing a control signal for actuating the articulation cylinders to rotate the motor grader from the present articulation angle to the predetermined articulation angle.

Method for automatically controlling the articulation angle of a motor

A system and method for automatically moving the blade of a motor grader from a present blade position to a mirror image position. The method includes the steps of: providing an electronic controller, blade controls having position sensors, and an input switch; obtaining information from the position sensors indicating the position of the blade controls; determining the present blade position; receiving an input signal from the input switch requesting a mirror image position; calculating the mirror image position of the present blade position; and producing a control signal for actuating the blade controls to move the blade from the present blade position to the mirror image position.

Method for automatically moving the blade of a motor grader from a

A dual steering system for controlling the steering of a motor grader is disclosed. The first portion of the steering system comprises a steering wheel connected through a hydraulic steering valve to hydraulic right and left steering cylinders, which are connected to the right front tire and left front tire, respectively. Rotation of the steering wheel causes rotation of the front tires. A second portion of the steering system comprises a first button and a second button that are mounted to a control lever. Actuation of the first button sends a first electrical input signal and actuation of the second button sends a second electrical input signal to an electronic control computer. The electronic control computer generates control signals in response to the electrical input signals and transmits these control signals to a plurality of electro-hydraulic actuators. Actuation of an electro-hydraulic actuator by one of the control signals leads to actuation of the right steering cylinder and the left steering cylinder thereby causing rotation of the front wheels of the grader in one of two directions. Thus, the direction of travel of a motor grader can be controlled by one of two steering systems, one of which permits an operator to maintain contact with a control lever while adjusting the steering of the motor grader.

Motor grader having dual steering mechanisms

A system and method for monitoring the position of a motor grader blade relative to a motor grader frame. The method includes the steps of: providing an electronic controller, blade controls having position sensors, and frame controls having position sensors; monitoring the output of the position sensors to ascertain the position of the blade controls and the frame controls; receiving an input signal requesting a repositioning of the blade or the frame; determining the present blade position and the present frame position; calculating a future blade position and a future frame position based on the repositioning request; predicting an intersection of the future blade position and the future frame position; and producing an action to prevent the intersection of the future blade position and the future frame position.

Method for monitoring the position of a motor grader blade relative to a

A method for determining a series of work cycles for an earthmoving machine is disclosed. The method includes the steps of determining a plurality of parameters, modeling a volume of material to be moved, planning a series of work cycles to move the volume of material, and determining a level of productivity of the series of work cycles. The method also includes the steps of repeating the above steps a predetermined number of times and choosing an optimal series of work cycles to move the volume of material.

Cycle planner for an earthmoving machine

An input speech signal is encoded as one or more reflection coefficients. To reduce storage requirements, the reflection coefficients are scalar quantized by storing an N-bit code rather than the entire reflection coefficient. An exemplary value for N is 8. A table is provided having 2.sup.N reflection coefficient values. The N-bit code is used to look up reflection coefficient values from the table. To reduce spectral distortion due to scalar quantization, the reflection coefficient values in the table are non-linearly scaled.

Method of storing reflection coeffients in a vector quantizer for a

An improved speech coder provides a more natural sounding replication of speech by modifying the mean-squared error criterion for the selected speech coder parameters. Specifically, the modification emphasizes the signal components that the speech coder has difficulty matching, i.e. the high frequencies. This emphasis is constrained to certain limitations to avoid over-emphasizing the speech.

Speech coding method and apparatus using mean squared error modifier for

A Vector-Sum Excited Linear Predictive Coding (VSELP) speech coder provides improved quality and reduced complexity over a typical speech coder. VSELP uses a codebook which has a predefined structure such that the computations required for the codebook search process can be significantly reduced. This VSELP speech coder uses single or multi-segment vector quantizer of the reflection coefficients based on a Fixed-Point-Lattice-Technique (FLAT). Additionally, this speech coder uses a pre-quantizer to reduce the vector codebook search complexity and a high-resolution scalar quantizer to reduce the amount of memory needed to store the reflection coefficient vector codebooks. Resulting in a high quality speech coder with reduced computations and storage requirements.

Multi-segment vector quantizer for a speech coder suitable for use in a

In a statistical based speech recognition system, one of the key issues is the selection of the Hidden Markov Model that best matches a given sequence of feature observations. The problem is usually addressed by the calculation of the maximum likelihood, ML, state sequence by means of a Viterbi or other decoder. Noise or inadequate training can produce a ML sequence associated with a Hidden Markov Model other than the correct model. The method of the present invention provides improved robustness by combining the standard ML state sequence score (416) with an additional path score (418) derived from the dynamics of the ML score as a function of time. These two scores, when combined, form a hybrid metric (420) that, when used with the decoder, optimizes selection of the correct Hidden Markov Model (422).

Method, apparatus, and radio optimizing Hidden Markov Model speech

A digital speech coding method uses an Rth-order filter to model the frequency response of multiple filters, thereby, providing a filter which offers the control of multiple filters without the complexity of multiple filters. The Rth-order filter can be used as a spectral noise weighting filter or a combination of a short-term predictor filter and a spectral noise weighting filter, referred to as the spectrally noise weighted synthesis filter, depending on which embodiment is employed. In general, the method models the frequency response of L Pth-order filters by a single Rth-order filter, where the order R&lt;L.times.P. Thus, this method increases the control of a speech coder filter without a corresponding increase in the complexity of the speech coder.

Method for generating a spectral noise weighting filter for use in a

An Rth-order filter models the frequency response of multiple filters, to provide a filter which offers the control of multiple filters without the complexity of multiple filters. The Rth-order filter can be used as a spectral noise weighting filter or a combination of a short-term predictor filter and a spectral noise weighting filter, referred to as the spectrally noise weighted synthesis filter, depending on which embodiment is employed. In general, the method models the frequency response of L Pth-order filters by a single Rth-order filter, where the order R&lt;L.times.P. Thus, this method increases the control of a speech coder filter without a corresponding increase in the complexity of the speech coder.

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Bloomington, IL, United States of America

Matthew A Hartman