2779results about How to "Improve noise immunity" patented technology

An intelligent electronic device (IED) configured to supervise a process having a state has at least one of a current, voltage or resistive input configured to monitor the state of the process, a binary status input configured to monitor the state of the process, a binary status input configured to receive a digitally encoded serial communication package for monitoring the state of the process, a control output configured to output a signal to control process protection, control, or automation, or a combination thereof, or a control output configured to output a digitally encoded serial communication package to control protection, control, or automation, or a combination thereof. The IED is also configured to facilitate digital communication between at least two compatible devices by directing communication packets from ports connected to an originating compatible device to ports connected to a destination compatible device.

Enhanced accuracy finger position and motion sensors devices, algorithms, and methods are disclosed that can be used in a variety of different applications. The sensors can be used in conjunction with partial fingerprint imagers to produce improved fingerprint scanners. Such improved scanners can use image analysis techniques, such as interpolation between partial fingerprint images to correct for missing data, or discarding redundant partial fingerprint image data, to produce adequate fingerprint images even when the finger has not been applied to the sensor using an optimum technique.

A reduced pin count, dual channel driver interface is configured to interface a supervisory controller with a plurality of multi-phase output channel switching circuits of a multi-phase DC-DC regulator. Each dual channel driver is configured for placement relatively close to output channel sense points, so as to effectively reduce the distance that would otherwise have to be traversed by noise sensitive voltage signals. Sensed current representative signals are processed within the dual driver for current balance between a respective multi driver pair, and are combined to supply the controller with the average current signal of the dual channels. The controller uses this average current-information to adjust respective pulse width modulation signals that are supplied to the dual channel drivers.

The invention relates to a road and obstacle detecting method based on remotely piloted vehicles. The method includes adopting a four-wire laser radar as a distance sensor and calculating slope information of roads in a driving area according to the relative position correspondence of pavement data points on different scanning layers; fitting left and right road edges by the COBWEB algorithm and the least square fit improved on the basis of Euclidean distance according to characteristics of road edge data points, enhancing anti-jamming capability, accuracy and stability of road edge detection; applying DST (Dempster-Shafer theory) evidence theory to establish a raster map for the environment ahead of the remotely piloted vehicles, and estimating positions of each raster before integrating prior- and posterior-frame maps. Consequently, the problem of integration of prior and posterior raster cells in the local map is solved. Finally, dynamic faults can be detected by means of conflict coefficient in a driving area, and the dynamical obstacles can be clustered and information thereof can be extracted by the improved eight-neighborhood zone marker algorithm. The road and obstacle detecting method can stably and accurately detect road and obstacle information.

Enhanced accuracy finger position and motion sensors devices, algorithms, and methods are disclosed that can be used in a variety of different applications. The sensors can be used in conjunction with partial fingerprint imagers to produce improved fingerprint scanners. The finger motion sensors may also be used (either with or without a partial fingerprint imager) to control electronic devices. When several of these finger motion and position sensors are aligned in different directions, finger motion over a two dimensional surface may be detected. This creates a finger controlled “mouse” computer input device. Motion of a finger along the surface of such sensors may allow a user to control the movement of an indicator on a display screen, and control a microprocessor device. Such techniques are particularly useful for small space constrained devices, such as cell phones, smart cards, music players, portable computers, personal digital accessories, and the like.

The formation of metal traces in the border areas of a touch sensor panel to provide improved reliability, better noise rejection, and lower manufacturing costs is disclosed. The metal traces can be coupled to rows on the touch sensor panel in an interleaved manner, so that any two successive rows can be coupled to metal traces in border areas on opposite sides of the touch sensor panel. In addition, by utilizing the full width available in the border areas in some embodiments, the metal traces can be formed from higher resistivity metal, which can reduce manufacturing costs and improve trace reliability. The wider traces can also provide better noise immunity from noise sources such as an LCD by providing a larger fixed-potential surface area and by more effectively coupling the drive lines to the fixed potential.

Enhanced accuracy finger position and motion sensors devices, algorithms, and methods are disclosed that can be used in a variety of different applications. The sensors can be used in conjunction with partial fingerprint imagers to produce improved fingerprint scanners. The finger motion sensors may also be used (either with or without a partial fingerprint imager) to produce highly accurate fingerprint images as well as to control electronic devices. Here improved signal analysis algorithms and methods are disclosed that enable finger position to be determined with higher levels of accuracy as the finger is swiped over finger position sensing arrays. These algorithms are particularly useful for deep finger penetrating radio frequency (RF) based sensing arrays.

A qubit (quantum bit) circuit includes a superconducting main loop that is electrically-completed by a serially-interconnected superconducting subloop. The subloop includes two Josephson junctions. A first coil provides a first flux that couples with the main loop but not with the subloop. A second coil provides a second flux that couples with the subloop but not with the main loop.

The invention provides a continuous voice recognition method based on a deep long and short term memory recurrent neural network. According to the method, a noisy voice signal and an original pure voice signal are used as training samples, two deep long and short term memory recurrent neural network modules with the same structure are established, the difference between each deep long and short term memory layer of one module and the corresponding deep long and short term memory layer of the other module is obtained through cross entropy calculation, a cross entropy parameter is updated through a linear circulation projection layer, and a deep long and short term memory recurrent neural network acoustic model robust to environmental noise is finally obtained. By the adoption of the method, by establishing the deep long and short term memory recurrent neural network acoustic model, the voice recognition rate of the noisy voice signal is improved, the problem that because the scale of deep neutral network parameters is large, most of calculation work needs to be completed on a GPU is avoided, and the method has the advantages that the calculation complexity is low, and the convergence rate is high. The continuous voice recognition method based on the deep long and short term memory recurrent neural network can be widely applied to the multiple machine learning fields, such as speaker recognition, key word recognition and human-machine interaction, involving voice recognition.