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Institution

General Dynamics

CompanyFairfax, Virginia, United States
About: General Dynamics is a company organization based out in Fairfax, Virginia, United States. It is known for research contribution in the topics: Signal & Propellant. The organization has 5722 authors who have published 5819 publications receiving 85768 citations. The organization is also known as: GD & General Dynamics Corporation.


Papers
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Patent
13 Oct 1977
TL;DR: In this paper, a system for obtaining a vertical profile of water quality in a body of water is described, which includes a sensor for sensing predetermined characteristics of water and the depth of water at which the predetermined characteristics are sensed.
Abstract: A system for obtaining a vertical profile of water quality in a body of water is disclosed. The system includes a sensor for sensing predetermined characteristics of water and the depth of water at which the predetermined characteristics are sensed, a cable attached to the sensor for holding the sensor, and a winch assembly attached to the cable for deploying and retrieving the cable and the sensor in a body of water. The winch assembly includes a non-ventilated DC motor coupled to the drum for driving the drum to retrieve the cable, and for generating electricity during deployment of the cable in response to the torque on the motor created by the cable and the sensor during deployment, an electromagnetically released brake coupled to the motor for braking the motor when the brake is not energized, a battery for providing energy for the motor and the brake, and a motor controller coupled to the battery for providing constant voltage excitation of the motor and for controlling the brake. The motor controller includes a circuit which inhibits the motor from operating as a motor during deployment of the cable, and a circuit for reversing the polarity of the motor to cause the motor to generate electricity for recharging the battery during deployment of the cable. A control circuit is coupled to the sensor and to the motor controller for causing the motor controller to brake and stop the motor in response to sensing a predetermined depth of water.

21 citations

Patent
Eugene Phillips1
28 Nov 1984
TL;DR: In this paper, a method for electroless overplating of a conductive metal on printed wiring circuitry components mounted upon a plastic substrate which eliminates deposit metal overgrowth upon the plastic substrate and plastic bonding materials is described.
Abstract: A method for electroless overplating of a conductive metal on printed wiring circuitry components mounted upon a plastic substrate which eliminates deposit metal overgrowth upon the plastic substrate and plastic bonding materials The substrate and printed wiring are treated by exposure to a tetrafluoromethane plasma environment to chemically passivate, or neutralize, the plastic or adhesive substrate surface areas prior to electroless plating of the printed circuitry elements, thus preventing the establishment of catalyzing ions on the plastic or adhesive surfaces and subsequent lay down of the deposited metal thereon

21 citations

PatentDOI
John P. Palmer1
TL;DR: In this paper, an acoustical sensor utilizing fiber optic transmission including an optical signal generator, a first single-fiber transmission line connected to the generator, and a coupler for receiving signals from the first line and transmitting the signals to a second single fiber which directs the signal to an acoustic sensitive reflective surface.
Abstract: An acoustical sensor utilizing fiber optic transmission including an optical signal generator, a first single-fiber transmission line connected to the generator, and a coupler for receiving signals from the first line and transmitting the signals to a second single fiber which directs the signals to an acoustically sensitive reflective surface. The surface modulates the signal in accordance with acoustical signals applied to it and reflects at least part of the signal back to the fiber where it is transmitted to a third fiber by the coupler and then transmitted to an electronic receiver.

21 citations

Journal ArticleDOI
J.E. Ashton1
TL;DR: In this article, an analogy between the differential equations of skew (parallelogram) isotropic plates and rectangular anisotropic plates is presented, which is useful in assessing the accuracy of approximate analyses.
Abstract: Although the basic differential equations and appropriate boundary conditions for anisotropic plates have been available for many years, exact solutions are unavailable except for the case of infinitely long rectangular plates [1].This note describes an analogy between the differential equations of skew (parallelogram) isotropic plates and rectangular anisotropic plates. Although the analogy is restrictive in applicability, it provides several exact solutions for finite length rectangular anisotropic plates. These solutions are useful by themselves and should prove especially valuable in assessing the accuracy of approximate analyses of anisotropic plates.

21 citations

Proceedings ArticleDOI
12 Jul 2021
TL;DR: A brief survey of quantum information processing algorithms with an emphasis on machine learning can be found in this paper, where the authors describe the fundamental blocks and principles of quantum mechanics, and present several related QC concepts such as qubits, correlation, and entanglement.
Abstract: Quantum Computing (QC) promises to elevate computing speed by an estimated 100 million times. Several applications, including signal processing, machine learning, big data, communication, and cryptography, will benefit from quantum computing. This paper provides a brief survey of quantum information processing algorithms with an emphasis on machine learning. We begin first, covering with an introduction to quantum systems. Then we describe briefly the fundamental blocks and principles of quantum mechanics, and we present several related QC concepts such as qubits, correlation, and entanglement. We also present simulations and tools for the quantum implementation of select algorithms. We cover specifically Quantum Machine Learning (QML) and demonstrate simple implementations. The paper also describes current research and provides an extensive bibliography for further reading.

21 citations


Authors

Showing all 5726 results

NameH-indexPapersCitations
David Pines7733627708
Kenneth G. Miller7329520042
Timothy J. White7246620574
David Erickson5731012288
Maxim Likhachev4821011162
Karlene H. Roberts4610913937
Francesco Soldovieri424416664
Peter A. Rogerson391416127
Daniel W. Bliss382129054
R. Byron Pipes351695942
Yosio Nakamura341213947
Leonard George Cohen341313953
Christopher C. Davis333114013
Erhard W. Rothe311083309
Charles Dubois291292752
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20234
20222
202193
202065
201948
201834