Abstract: The present disclosure describes a method, system, and apparatus for using a machine learning system to configure and optimize complex, distributed computer networks. The machine learning system receives an input related to a computer network and classifies the input using either a supervised learning approach or an unsupervised learning approach. From the classification of the input, the machine learning system builds a first training domain and determines a steady state network configuration for the computer network. After determining a steady state network configuration for the computer network, the machine learning system receives a plurality of inputs from one or more sensors or agents distributed throughout the computer network. The machine learning system compares the plurality of inputs to the steady state network configuration to detect a deviation from the first steady state network configuration.

Abstract: The present disclosure describes a method, system, and apparatus for using a machine learning system to configure and optimize complex, distributed computer networks. The machine learning system receives an input related to a computer network and classifies the input using either a supervised learning approach or an unsupervised learning approach. From the classification of the input, the machine learning system builds a first training domain and determines a steady state network configuration for the computer network. After determining a steady state network configuration for the computer network, the machine learning system receives a plurality of inputs from one or more sensors or agents distributed throughout the computer network. The machine learning system compares the plurality of inputs to the steady state network configuration to detect a deviation from the first steady state network configuration.

Abstract: The present disclosure describes a method, system, and apparatus for using a machine learning system to configure and optimize complex, distributed computer networks. The machine learning system receives an input related to a computer network and classifies the input using either a supervised learning approach or an unsupervised learning approach. From the classification of the input, the machine learning system builds a first training domain and determines a steady state network configuration for the computer network. After determining a steady state network configuration for the computer network, the machine learning system receives a plurality of inputs from one or more sensors or agents distributed throughout the computer network. The machine learning system compares the plurality of inputs to the steady state network configuration to detect a deviation from the first steady state network configuration.

Abstract: The present disclosure describes a method, system, and apparatus for using a machine learning system to configure and optimize complex, distributed computer networks. The machine learning system receives an input related to a computer network and classifies the input using either a supervised learning approach or an unsupervised learning approach. From the classification of the input, the machine learning system builds a first training domain and determines a steady state network configuration for the computer network. After determining a steady state network configuration for the computer network, the machine learning system receives a plurality of inputs from one or more sensors or agents distributed throughout the computer network. The machine learning system compares the plurality of inputs to the steady state network configuration to detect a deviation from the first steady state network configuration.

Abstract: The present disclosure describes a method, system, and apparatus for using a machine learning system to configure and optimize complex, distributed computer networks. The machine learning system receives an input related to a computer network and classifies the input using either a supervised learning approach or an unsupervised learning approach. From the classification of the input, the machine learning system builds a first training domain and determines a steady state network configuration for the computer network. After determining a steady state network configuration for the computer network, the machine learning system receives a plurality of inputs from one or more sensors or agents distributed throughout the computer network. The machine learning system compares the plurality of inputs to the steady state network configuration to detect a deviation from the first steady state network configuration.

Abstract: An apparatus includes an ultrasound portion configured to acquire an image of a region of interest of a subject. The apparatus further includes an instrument carrying portion configured to carry and employ an instrument to perform a procedure at the region of interest based on the image. The ultrasound and instrument carrying portions are enclosed in the same enclosure. The apparatus, including both the ultrasound portion and instrument carrying portion, is configured to be transported and operated via at least a single hand of a user of the apparatus.

Abstract: The present disclosure describes a method, system, and apparatus for using a machine learning system to configure and optimize complex, distributed computer networks. The machine learning system receives an input related to a computer network and classifies the input using either a supervised learning approach or an unsupervised learning approach. From the classification of the input, the machine learning system builds a first training domain and determines a steady state network configuration for the computer network. After determining a steady state network configuration for the computer network, the machine learning system receives a plurality of inputs from one or more sensors or agents distributed throughout the computer network. The machine learning system compares the plurality of inputs to the steady state network configuration to detect a deviation from the first steady state network configuration.

Abstract: A medical diagnostic imaging system (10) includes a diagnostic imaging scanner (12) that acquires imaging data of a medical imaging patient. A reconstruction processor (46) reconstructs at least a portion of the acquired imaging data into an image representation. A pair of electrodes (30, 32) contact a thoracic region of the patient. An electrical meter (34) measures electrical resistance R(t) or another time-varying electrical parameter (70) across the electrode pair (30, 32) during the acquiring of imaging data. A respiration monitor (36) extracts a time-varying respiration characteristic (90, 98, 110, 120) from the measured time-varying electrical parameter (70) to indicate respiratory cycle phase.

Abstract: A CT-scanner having a gantry comprising a stator and a rotor, wherein an X-ray source and array of X-ray detectors are mounted to the rotor for determining absorption of X-rays along paths through the body of a patient imaged by the CT-scanner, the CT imager comprising: a processor that processes data comprised in signals generated by the X-ray detectors responsive to intensity of X-rays from the X-ray source incident on the detectors to generate an image of the patient; at least one spread spectrum transmitter that receives data comprised in the signals generated by the X-ray detectors and transmits signals encoded with the data in accordance with a spread spectrum coding; and at least one spread spectrum receiver that receives the encoded signals transmitted by the at least one spread spectrum transmitter and forwards the encoded data to the processor.

Abstract: A valve with a calibrated flow orifice insert for use in Heating, Ventilation, and Air Conditioning (“HVAC”) applications so as to provide metered flow through the valve. The insert is used as a flow control device and is inserted into a conventional threaded ball valve. The insert has a cylindrical axial bore that is sized to provide a maximum valve flow coefficient. Peripheral threads on the insert mate with interior threads on the inlet of the valve body. A pair of bores on the face of the insert permit threaded insertion into the valve. The axial orifice bore through the insert is sized using experimentally-determined formulas related to the Reynolds numbers for the orifice and for the piping upstream of the insert.

Abstract: A CT-scanner having a gantry comprising a stator and a rotor, wherein an X-ray source and array of X-ray detectors are mounted to the rotor for determining absorption of X-rays along paths through the body of a patient imaged by the CT-scanner, the CT imager comprising: a processor that processes data comprised in signals generated by the X-ray detectors responsive to intensity of X-rays from the X-ray source incident on the detectors to generate an image of the patient; at least one spread spectrum transmitter that receives data comprised in the signals generated by the X-ray detectors and transmits signals encoded with the data in accordance with a spread spectrum coding; and at least one spread spectrum receiver that receives the encoded signals transmitted by the at least one spread spectrum transmitter and forwards the encoded data to the processor.

Abstract: A valve with a calibrated flow orifice insert for use in Heating, Ventilation, and Air Conditioning (“HVAC”) applications so as to provide metered flow through the valve. The insert is used as a flow control device and is inserted into a conventional threaded ball valve. The insert has a cylindrical axial bore that is sized to provide a maximum valve flow coefficient. Peripheral threads on the insert mate with interior threads on the inlet of the valve body. A pair of bores on the face of the insert permit threaded insertion into the valve. The axial orifice bore through the insert is sized using experimentally-determined formulas related to the Reynolds numbers for the orifice and for the piping upstream of the insert.

Abstract: A lamp device for communicating moods between users having a base with a plurality of individually illuminatable elements extending from the base and two control units remote from the base for regulating the illumination of the elements. In a preferred embodiment, the illuminatable elements are in the form of five translucent flames of various heights containing two small electric bulbs at their bases for selectively producing colored illumination of each. Appropriate circuitry is disposed in the base member and connected to each of the external control units which may be used to activate the bulbs individually or collectively. The control units may each have five settings designed to supply power in a synchronized manner to the bulbs within the flame elements. Two persons involved in using the lamp for communication each operate a respective control unit which may be concealed, if desired, and by which a level of illumination may be selected to indicate, for instance, the level of interest of the user.

Abstract: A seating device is disclosed that offers comfort in use over extended periods of time and certain therapeutic effects as well as being readily portable and storable when not in use. The device is embodied in an inflatable seat that may be molded from thin, clear polyethylene/vinyl plastic material and formed with a flat thicker bottom surface, a concave seat area, a rising rear support, and a smaller frontal post section. The concave seat area is formed with an inherent forward tilt design which automatically aligns the spine of a user while the rear support provides additional comfort. The smaller frontal post section prevents forward sliding on and ride up of the rear of the seat. A valve is located in the bottom surface for inflating and deflating the seat and a snap strap may be provided for permanent closure after deflation and folding of the seat into itself.

Abstract: A tree harness having a flexible seat for supporting a wearer's body at about the center of gravity. Leg loops for engaging the wearer's thighs are attached to the seat as a safety feature in order to prevent the wearer from falling out of the harness. The seat has an adjustable belt and is attached to a tree by a long adjustable strap. A pouch is attached to the back of the seat for providing additional storage.

Abstract: A system for image generation is provided which includes a device for controlling the sweep voltages of a CRT so that realistic views of the earth can be projected on a curved screen surface from a flat transparency and for generating a haze band between the earth and sky interface of the projected scene. The preferred embodiment is an aircraft flight simulator in which real world scenes are projected and updated in accordance with simulated aircraft maneuvers. Various visual flight cures are or can be presented to an operator during training. These flight cues include a dynamic haze or cloud band along the projection of the earth and sky interface. The system permits image projection with six degrees of freedom (yaw, pitch, roll, altitude, north/south and east/west vector components) over simulated terrain. In the preferred embodiment, the haze or cloud band generation is accomplished so that it is compatible with a single projector technique.

Abstract: A necklace is provided including an elongated flexible support member for encircling the neck of a wearer and the support member includes a predetermined portion thereof adapted to overlie the central chest portion of the wearer. The predetermined portion includes structure defining a journal and an axially short shank extends and is rotatably received through the journal and includes first and second ends which extend in forward and rearward directions, respectively, when the support member is being worn as a necklace. A gem stone is mounted on the first end of the shank member and the second shank member end includes radially outwardly extending lever structure supported therefrom for frictional engagement with underlying clothing or skin of the wearer and thereby is operative to effect angular displacement of the shank member and the gem stone relative to the journal responsive to lateral displacement of the journal relative to the underlying clothing or skin with which the lever structure is engaged.

Abstract: A safety clutch for an earring has a body member provided with a through hole arranged for receiving a post of an earring or other article to be releasably attached to the body member. Provided on the body member is a suitable resilient biasing arrangement disposed for normally engaging with the post of the earring and holding the post secure with respect to the body member. The retainer includes a clutch pin slidably disposed in a recess provided in the body member and arranged communicating with the hole so as to cause the clutch pin to selectively come into retaining engagement with a groove provided in the post of the associated earring. A coiled helical spring or other suitable biasing device is disposed in the bottom of the recess, beneath the clutch pin, for forcing the pin toward a position in which the pin engagingly holds the post in place in the hole provided in the body member.