392 results about "Observation unit" patented technology

A semiconductor production system has a semiconductor manufacturing apparatus having an exposure unit, a control unit for controlling the exposure unit and a storage device; a semiconductor inspection apparatus having an observation unit, a control unit for controlling the observation unit and a storage device; and a storage device commonly used by the semiconductor manufacturing apparatus and the semiconductor inspection apparatus. The manufacturing apparatus, the inspection apparatus and the commonly used storage device are interconnected via a storage area network. With the semiconductor manufacturing apparatus and the storage device linked together via the storage area network, a large volume of image data or design data can be communicated at high speed, thus improving the system throughput.

A therapeutic system comprising a therapeutic applicator for treating living tissues and an observation unit for determining the position of the applicator. The therapeutic energy applied from the applicator to the living tissues is controlled in accordance with data representing the position of the applicator, determined by the observation unit. It is therefore easy to operate the system even if the applicator and the observation unit (e.g., an MRI apparatus) are used at the same time. The image of the living tissues remains clear during the use of the therapeutic applicator.

A machine learning device that learns an operation of a robot for picking up, by a hand unit, any of a plurality of workpieces placed in a random fashion, including a bulk-loaded state, includes a state variable observation unit that observes a state variable representing a state of the robot, including data output from a three-dimensional measuring device that obtains a three-dimensional map for each workpiece, an operation result obtaining unit that obtains a result of a picking operation of the robot for picking up the workpiece by the hand unit, and a learning unit that learns a manipulated variable including command data for commanding the robot to perform the picking operation of the workpiece, in association with the state variable of the robot and the result of the picking operation, upon receiving output from the state variable observation unit and output from the operation result obtaining unit.

An ultrasonic endoscope comprises an insertion portion comprising a distal hard portion which has: an endoscopic observation unit; and an ultrasonic observation unit having ultrasonic transducers arranged circumferentially on an outer circumferential section of the distal hard portion, wherein the ultrasonic observation unit comprises an ultrasonic-wave transmission / reception unit having an tunnel-shaped path which has an inner circumferential surface formed as a backing layer; a distal block is arranged on a distal side in an axial direction of the distal hard portion with respect to a location where the ultrasonic-wave transmission / reception unit is arranged, and distal ends of respective members constituting the endoscopic observation unit are fixed to the distal block; and part of the members which constitute the endoscopic observation unit are fitted so as to be partially protruded from an inside diameter of the tunnel-shaped path toward an outer circumferential side thereof.

A plasma processing apparatus can prevent a sheath from becoming distorted, simplify a configuration of the apparatus, and prevent particles from attaching to a substrate. The plasma processing apparatus performs plasma processing on the substrate. A housing chamber houses the substrate. A mounting stage is disposed within the housing chamber and mounted with the substrate. An annular member is disposed in the mounting stage. A power supply unit supplies high-frequency power to the mounting stage. An observation unit optically observes the distribution of the plasma. A voltage applying unit applies a DC voltage to the annular member. A control unit sets the value of the DC voltage to be applied based on the observed plasma distribution.

The present invention is a system for observing stationary and mobile subjects and sending alarms and initiating remedial actions at the observation site by using an observation device, having the recording, and communications capabilities typically found in cell phones, to observe the subject and send recordings and relay alarm signals directly to a controller device possessed by the user. The controller device has the recording and communications capabilities typical of cell phones and allows users to review the data from the observation device and take appropriate actions. Such actions include commanding the observation unit to activate on-site devices that can mitigate damage, issuing an alarm to appropriate emergency response units, and augmenting data sent to emergency response units with the subject's location and descriptive information that can help responders arrive at the scene quicker and act more effectively when they arrive.

A machine learning device which learns fault prediction of one of a main shaft of a machine tool and a motor driving the main shaft, including a state observation unit observing a state variable including at least one of data output from a motor controller controlling the motor, data output from a detector detecting a state of the motor, and data output from a measuring device measuring a state of the one of the main shaft and the motor; a determination data obtaining unit obtaining determination data upon determining one of whether a fault has occurred in the one of the main shaft and the motor and a degree of fault; and a learning unit learning the fault prediction of the one of the main shaft and the motor in accordance with a data set generated based on a combination of the state variable and the determination data.

In a capsule endoscope illuminating units are disposed around an image capturing unit in such a manner that an optical axis of the illuminating units do not intersect with an optical axis of the observation unit, and illumination areas of the illuminating units overlap at substantially a central portion of an image capturing area of the image capturing unit.

The invention discloses a system and a method for locating an inspection robot in a petrochemical plant. The system comprises a global positioning system (GPS) observation unit, an ultra-wide bandwidth (UWB) observation unit, a visual observation unit, a laser observation unit, a mileage observation unit, a combination decision module, an inertial state estimation module, an available positioningobservation / strapdown inertial navigation system (SINS) combination module, and a positioning information fusion module. The GPS observation unit, the UWB observation unit, the visual observation unit, the laser observation unit and the mileage observation unit acquire the respective observation data and send same to the combination decision module; the combination decision module performs multi-layer map-based positioning by combining an environmental map model stored in an environmental model prior information module so as to determine available observation types; the available positioning observation / SINS combination module combines available observation data with a corresponding motion equation established by an inertial state estimation module, and the combined result is sent to the positioning information fusion module for carrying out final integrated pose estimation. The system and the method solve the problem of seamless positioning of the inspection robot which runs in various complicated regions of the petrochemical plant, and guarantee the continuity of a positioning process and the stability of the positioning result.

The present invention provides a position estimation apparatus capable of determining whether an estimated value deviates from an actual value and trying a process to correct the estimated value if the estimated value is determined to be incorrect. The position estimation apparatus employs a position prediction unit configured to produce a prediction of the position of a mobile object having an odometry sensor mounted thereon, an environment observation unit configured to keep track of each feature point in the environment of the mobile object, a prediction-error check unit configured to determine whether the position prediction produced by the position prediction unit is correct or incorrect, a position-prediction correction unit configured to correct a wrong position prediction and a position / posture updating unit configured to update the position and / or posture of the mobile object on the basis of a correct position prediction.

An exposure apparatus is provided with a projection optical system, and the projection optical system includes a first optical element disposed most closely to an image plane of the projection optical system. The exposure apparatus includes a first liquid immersion mechanism which forms a first liquid immersion area of a first liquid between the first optical element and an upper surface of a transparent member provided on a side of the image plane of the projection optical system, and an observation unit which observes a state of the first liquid immersion area. It is possible to grasp the state of the liquid immersion area of the liquid, thereby executing optimum liquid immersion exposure.

An optical tomographic imaging device and the like which suppress influence in the case of a measuring beam being truncated by an iris, and can ensure reliability of a tomographic image which is acquired, when imaging the tomographic image of a retina in an eyeground of an examined eye. An optical tomographic imaging device is configured to have an observation unit observing a state of irradiating an examined object with the measuring beam, and imaging a state of the measuring beam being incident on the examined object as an observation image, a recording unit recording the observation image by linking the observation image with a tomographic image by the optical tomographic imaging device, and an evaluating unit evaluating reliability of the tomographic image which is linked with the observation image based on the observation image imaged in the observation unit.

A machine learning device for a robot that allows a human and the robot to work cooperatively, the machine learning device including a state observation unit that observes a state variable representing a state of the robot during a period in that the human and the robot work cooperatively; a determination data obtaining unit that obtains determination data for at least one of a level of burden on the human and a working efficiency; and a learning unit that learns a training data set for setting an action of the robot, based on the state variable and the determination data.

A medical imaging device enables observation within the abdominal and pelvic cavity at a wide field of view and enables medical procedures to be carried out within the wide field of view. The medical imaging device includes a central assembly and a sterile disposable cover, which is slipped over the central assembly. The central assembly has a proximal portion, which remains outside of the abdominal cavity of the patient, and a distal portion, which is inserted into the abdominal cavity through a slit made in the abdominal wall by the surgeon. A first plurality of light emitting diodes is circumferentially distributed around the outer surface of the central assembly near the top of the distal portion and a reversibly inflatable balloon is circumferentially attached to the cover at the location of the first plurality of diodes. When the balloon is inflated and the first array of light emitting diodes is activated to produce light, then the light enters the interior of the balloon, is repeatedly reflected from the inner walls of the balloon until it eventually passes through the wall of the balloon at random angles thereby illuminating the entire interior of the abdominal and pelvic cavities. Also, a system includes the medical imaging device, an observation unit comprising a controller, a processor, and display; and a communicator between the medical imaging device and the observation unit.

A machine learning device for learning a threshold value of detecting an abnormal load in a machine tool, includes a state observation unit, and a learning unit. The state observation unit observes a state variable obtained based on at least one of information about a tool, main spindle revolution rate, and amount of coolant of the machine tool, material of a workpiece, and moving direction, cutting speed, and cut depth of the tool, and the learning unit learns the threshold value of detecting an abnormal load based on training data created from an output of the state observation unit and data related to detection of an abnormal load in the machine tool and on teacher data.

An ultrasonic endoscope comprises an insertion portion including: an angle portion; a hard distal portion; an endoscopic observation unit comprising a lighting portion and an observation portion; and an ultrasonic test unit comprising an ultrasonic transducer constituting an ultrasonic test unit, wherein the hard distal portion includes: a distal end main body including an entire portion whereat the ultrasonic transducer is attached; an observation portion block that includes a portion whereat the observation portion is attached and that is separably coupled with the distal end main body; and an elevator block that is securely held between the distal end main body and the observation portion block by engaging the distal end main body and the observation portion block, and that comprises the elevator, and wherein the distal end main body, the observation portion block and the elevator block are assembled so as to be capable of being disassembled.

A machine learning device and a machine learning method for optimizing timing at which a tool is to be compensated in a machine tool, and a machine tool including the machine learning device. The machine learning device includes a state observation unit for observing a time interval for compensating the tool, a processing error amount of a workpiece processed by the machine tool, and a machine working ratio of the machine tool as state variables, and a learning unit for learning an action value with respect to a change of a tool compensation interval based on the tool compensation interval, the processing error amount of a workpiece, and the machine working ratio that are observed by the state observation unit.

An ultrasonic endoscope comprises an insertion portion comprising a distal hard portion which has: an endoscopic observation unit; and an ultrasonic observation unit having ultrasonic transducers arranged circumferentially on an outer circumferential section of the distal hard portion, wherein the ultrasonic observation unit comprises an ultrasonic-wave transmission / reception unit having an tunnel-shaped path which has an inner circumferential surface formed as a backing layer; a distal block is arranged on a distal side in an axial direction of the distal hard portion with respect to a location where the ultrasonic-wave transmission / reception unit is arranged, and distal ends of respective members constituting the endoscopic observation unit are fixed to the distal block; and part of the members which constitute the endoscopic observation unit are fitted so as to be partially protruded from an inside diameter of the tunnel-shaped path toward an outer circumferential side thereof.

A machine learning apparatus which learns the predicted life of a NAND flash memory provided in a numerical control device includes a state observation unit which observes state variables obtained based on at least one of the rewrite count, the rewrite interval, the read count, the temperature in the use environment, the error rate, information concerning the manufacturer, and information concerning the manufacturing lot for the NAND flash memory, and information concerning the ECC (Error Correction Coding) performance, information concerning the manufacturer, and information concerning the manufacturing lot for a memory controller which performs ECC processing for the NAND flash memory, and a learning unit which learns the predicted life of the NAND flash memory based on teacher data, and training data generated from the output of the state observation unit and data associated with the life of the NAND flash memory.

An ultrasonic endoscope comprises an insertion portion comprising a distal hard portion which has: an endoscopic observation unit; and an ultrasonic observation unit having ultrasonic transducers arranged circumferentially on an outer circumferential section of the distal hard portion, wherein the ultrasonic observation unit comprises an ultrasonic-wave transmission / reception unit having an tunnel-shaped path which has an inner circumferential surface formed as a backing layer; a distal block is arranged on a distal side in an axial direction of the distal hard portion with respect to a location where the ultrasonic-wave transmission / reception unit is arranged, and distal ends of respective members constituting the endoscopic observation unit are fixed to the distal block; and part of the members which constitute the endoscopic observation unit are fitted so as to be partially protruded from an inside diameter of the tunnel-shaped path toward an outer circumferential side thereof.

The present invention relates to a presented information notifying method and system, which contains said observation unit client-side or application server subscribing render unit render information through render server; render server receiving render unit client-side or application server sent issue message, judging said observation unit whether configuring with notifying rule, if it is then according to observation unit and render unit pre-configured correlation content process rule and said notifying rule processing issue message; otherwise then issuing message; render server transmitting processed issuing message to observation unit client-side or application server. Said notifying rule can be pre-configured in render XDMS or render server by observation unit or generated in subscribing, utilizing said invented method and system, render server can be determined by user needs whether to be notified and what render information to be notified.

A wire electric discharge machine according to the present invention includes a machine learning device which performs machine learning for adjustment of a machining condition of the wire electric discharge machine, the machine learning device includes a state observation unit which acquires data related to a machining state of a workpiece, a reward calculation unit which calculates a reward based on data related to a machining state, a machining condition adjustment learning unit which determines an adjustment amount of a machining condition based on a machine learning result and data related to a machining state, and a machining condition adjustment unit which adjusts a machining condition based on the determined adjustment amount of a machining condition, and the machining condition adjustment learning unit performs machine learning for adjustment of a machining condition based on the determined adjustment amount of a machining condition, data related to a machining state and acquired by the state observation unit, and a reward which is calculated by the reward calculation unit.

A machine learning apparatus includes: a state observation unit that observes a state variable including an error between a position command and an actual position of a rotor, temperature of a motor driving apparatus and the motor, and voltage of each part of the motor driving apparatus; and a learning unit that learns a current feedback offset correction value for correcting an offset in the current feedback value, an inter-current-feedback-phase unbalance correction value for correcting an unbalance between phases in the current feedback value, and a current command correction value for a dead zone for correcting a current command in order to compensate a decreased amount of current due to a dead zone by which switching elements of upper and lower arms in the same phase of an inverter for motor power supply are not simultaneously turned on, in accordance with a training data set defined by the state variable.

An observation apparatus includes a sample tray that holds a container housing a cultured cell and a culture medium and covered with a lid; an observation unit that serves for observation of the cultured cell; and a shifting unit that relatively shifts the sample tray and a light axis of the observation unit along a plane that is orthogonal to the light axis of the observation unit, wherein the sample tray includes a container holding unit that holds the container by utilizing an elastic force, and at least one of the lid and one portion of the lid is made detachable, with the container being held in the sample tray by the container holding unit.

The invention relates to a machine learning device, a machine learning method, and a fault prediction device and system. The machine learning device (5) which learns fault prediction of one of a main shaft (212) of a machine tool and a motor (214) driving the main shaft includes: a state observation unit (52) observing a state variable including at least one of data output from a motor controller (3) controlling the motor, data output from a detector (11) detecting a state of the motor, and data output from a measuring device (12) measuring a state of the one of the main shaft and the motor; a determination data obtaining unit (51) obtaining determination data upon determining one of whether a fault has occurred in the one of the main shaft and the motor and a degree of fault; and a learning unit (53) learning the fault prediction of the one of the main shaft and the motor in accordance with a data set generated based on a combination of the state variable and the determination data.

A tissue culture microscope apparatus includes a culture unit that includes a chamber in which a specimen is put, and maintains the chamber at a predetermined temperature to culture the specimen; an observation unit that forms an observation image of the specimen put in the chamber; and a liquid supply unit that stores a liquid in a protrusion portion penetrating into a wall of the chamber and protruding to an inside of the chamber, matches a temperature of the liquid with the temperature of the chamber, and injects the liquid from the protrusion portion to the specimen.

A machine learning device, which performs a task using a plurality of industrial machines and learns task sharing for the plurality of industrial machines, includes a state variable observation unit which observes state variables of the plurality of industrial machines; and a learning unit which learns task sharing for the plurality of industrial machines, on the basis of the state variables observed by the state variable observation unit.

Embodiments of an observation system are disclosed herein. The observation system includes at least one observation device having at least one observation unit configured to observe at least one observation object in accordance with at least one first instruction data set. The observation system also includes at least one access control arrangement configured to control access to the observation device by at least one access entity. The access control arrangement includes at least one first peer-to-peer module assigned to the observation device and configured to forward at least one first instruction data set to the observation unit. Also included is at least one peer-to-peer application of at least one peer-to-peer network. The peer-to-peer application is configured to control the access to the observation device by allowing the access entity to cause the provision of at least one first instruction data set to the first peer-to-peer module.

An observation device (1) is provided with: a general observation unit (10) for observing sample cells by observing an entire container (C) containing the cells and a culture solution; and a magnification observation unit (20) for magnifying a region within the container (C) and observing the cells, the general observation unit (10) and the magnification observation unit (20) each individually having lighting for illuminating the cells with light, and an optical system for observing the cells. The general observation unit (10) and the magnification observation unit (20) are thereby each provided with an individual optical system and lighting, making it possible to configure an appropriate observation unit for use both when the cells are observed by observing the entire container (C) and when a part within the container (C) is magnified and the cells are observed.