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765results about How to "Inhibition bias" patented technology

Touch panel having press detection function and pressure sensitive sensor for the touch panel

An object of the present invention is to provide a touch panel having a press detection function, which makes it possible to suppress degradation of visibility of a display unit of a display device even when mounted on an electronic device, and also to improve a pressure measuring precision. For this purpose, the touch panel of the present invention includes a first substrate, a second substrate disposed oppose to the first substrate, a pair of electrodes disposed on either one of opposed surfaces of the respective substrates or disposed separately on both of the surfaces, pressure sensitive ink members disposed with a gap from at least one of the pair of electrodes, each of the pressure sensitive ink members having an electrical characteristic varied by a pressing force applied thereto, and a gap retaining member for bonding the first and second substrates to each other and for retaining a gap between each of the pressure sensitive inks and at least one of the pair of electrodes, wherein the pair of electrodes are disposed in a frame shape along an edge portion of the first or second substrate, and the pressure sensitive ink members are scattered along the edge portion of the first or second substrate so that, when the first or second substrate is deformed upon an application of an external force, at least one of them is made in contact with both of the pair of electrodes so as to make the two electrodes conductive to each other.
Owner:NISSHA PRINTING COMPANY

Touch panel having press detection function and pressure sensitive sensor for the touch panel

An object of the present invention is to provide a touch panel having a press detection function, which makes it possible to suppress degradation of visibility of a display unit of a display device even when mounted on an electronic device, and also to improve a pressure measuring precision. For this purpose, the touch panel of the present invention includes a first substrate, a second substrate disposed oppose to the first substrate, a pair of electrodes disposed on either one of opposed surfaces of the respective substrates or disposed separately on both of the surfaces, pressure sensitive ink members disposed with a gap from at least one of the pair of electrodes, each of the pressure sensitive ink members having an electrical characteristic varied by a pressing force applied thereto, and a gap retaining member for bonding the first and second substrates to each other and for retaining a gap between each of the pressure sensitive inks and at least one of the pair of electrodes, wherein the pair of electrodes are disposed in a frame shape along an edge portion of the first or second substrate, and the pressure sensitive ink members are scattered along the edge portion of the first or second substrate so that, when the first or second substrate is deformed upon an application of an external force, at least one of them is made in contact with both of the pair of electrodes so as to make the two electrodes conductive to each other.
Owner:NISSHA PRINTING COMPANY

Method and system for controlling underwater robot locus based on deep reinforcement learning

ActiveCN107102644AAvoid control problems with low trajectory tracking accuracyEasy to operateAdaptive controlAltitude or depth controlControl systemSimulation
The present invention discloses a method and system for controlling an underwater robot locus based on deep reinforcement learning. The system comprises a learning phase and an application phase. In the learning phase, a simulator simulates the running process of an underwater robot and collects the data of the simulated running underwater robot, the data comprises the state of each moment and the target state of the next moment corresponding to each moment, and the learning is performed aiming at a decision neural network, an auxiliary decision neural network, an evaluation neural network and an auxiliary evaluation neural network through the data. In the application phase, the state o the underwater robot at the current moment and the target state of the underwater robot at the next moment are obtained and input to the decision neural network obtained through the final learning in the learning phase, and the decision neural network is configured to calculate the propulsive force required by the underwater robot at the current moment. The method and system for controlling underwater robot locus based on the deep reinforcement learning can realize accurate control of the underwater motion track.
Owner:SOUTH CHINA NORMAL UNIVERSITY

Image capturing apparatus, photograph quantity management method, and photograph quantity management program

An image capturing apparatus comprising: an image capturing element which receives subject light incident via a photographing lens, converts the subject light into a captured image signal, and outputs the signal; an A/D conversion section which converts the captured image signal outputted by the image capturing element into image data and outputs the image data; a storage section which stores at least the image data outputted by the A/D conversion section; a registration section which relates identification facial images which are image data to be used as criteria for identifying faces of subjects among the image data stored in the storage section to identification information of each subject, and registers related data into a database; a facial image extraction section which extracts facial images which are facial portion regions of a person from photographed images which are desired image data outputted by the A/D conversion section and stored in the storage section; an identification section which identifies from the database an identification facial image matching an extracted facial image which is a facial image extracted by the facial image extraction section; and a photograph quantity calculation section which calculates for each subject identification information a photograph quantity which is the total number of photographed images from which an extracted facial image matching an identification facial image corresponding to identification information for each subject has been extracted.
Owner:FUJIFILM CORP

Correction method for mining borehole clinometer probe tube

The invention discloses a correction method for a mining borehole clinometer probe tube. The correction method for the mining borehole clinometer probe tube comprises the steps that correction parameters are calculated through a recursive least square ellipsoid fitting process by collecting any position data of a magnetic sensor and an acceleration sensor in the three-dimensional non-magnetic rotary platform clinometer probe tube; misalignment errors between the magnetic sensor and the acceleration sensor in the three-dimensional non-magnetic rotary platform clinometer probe tube and a clinometer probe tube shell carrier are calculated through a least square planar fitting method by collecting the data of the magnetic sensor and the acceleration sensor in the three-dimensional non-magnetic rotary platform clinometer probe tube around the X axis and the Z axis; the errors of the magnetic sensor and the acceleration sensor and the soft and hard iron error of the magnetic sensor are obtained; and the misalignment errors between the magnetic sensor and the clinometer probe tube shell carrier as well as between the acceleration sensor and the clinometer probe tube shell carrier are corrected. According to the correction method for the mining borehole clinometer probe tube, the geomagnetic field and gravitational acceleration are used for correction, the errors of a three-axis sensor and the misalignment errors between the three-axis sensor and the coordinate system of the probe tube shell carrier are compensated, the inclination precision of the corrected mining borehole clinometer probe tube is +/-0.2 degree, and the precision of the azimuth angle of the corrected mining borehole clinometer probe tube is+/-0.5 degree.
Owner:TAIYUAN UNIV OF TECH
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