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125results about How to "Less susceptible to noise" patented technology

Integrated circuit package having an inductance loop formed from a multi-loop configuration

An integrated circuit package includes an inductance loop formed from a connection of lead wires and one or more input/output (I/O) package pins. In one embodiment, the inductance loop is formed from first and second wires which connect a first bonding pad on the integrated circuit chip to a first I/O pin of the package and a third and fourth wires which connect a second bonding pad on the chip to a second I/O pin of the package. To complete the inductor loop, the first and second I/O pins are connected by a third conductor between the pins. The third conductor may include one or more bonding wires and the I/O pins are preferably ones which are adjacent one another. However, the loop may be formed from non-adjacent connections of I/O pins based, for example, on loop-length requirements, space considerations, and/or other design or functional factors. In another embodiment, connection between the first and second I/O pins is established by making the I/O pins have a unitary construction. In another embodiment, connection between the first and second I/O pins is established by a metallization layer located either on the surface of the package substrate or within this substrate. By forming the inductor loop within the limits of the integrated circuit package, a substantial reduction in space requirements is realized, which, in turn, promotes miniaturization. Also, the integrated circuit may be implemented in any one of a variety of systems, at least one parameter of which is controlled by the length of the inductor loop of the package.
Owner:GCT SEMICONDUCTOR INC

Mount element detection method based on color image segmentation and gradient projection positioning

The invention discloses a mount element detection method based on color image segmentation and gradient projection positioning, and belongs to the technical field of automatic optical detection of mount elements. The mount element detection method based on color image segmentation and gradient projection positioning is characterized in that a designed image acquisition system is used to acquire color images; three-color (red, green and blue) images are converted into an HSI color model which is formed by three parameters (H (Hue), S (saturation) and I (Intensity)); as the HSI model directly uses the hue and the saturation having no relation with brightness when the HSI color model extracts the color information, the mount element detection method based on color image segmentation and gradient projection positioning is accurate and highly efficient in segmentation; one the above basis, positioning and detection of elements are carried out; positioning mainly uses the color and geometrical characteristics, and a positioning method based on gradient projection and a principal component characteristic value detection method are proposed; and the mount element detection method based oncolor image segmentation and gradient projection positioning has the advantages of high positioning accuracy and efficiency and accurate detection.
Owner:ANHUI UNIVERSITY OF TECHNOLOGY

Novel method for identifying overvoltage inside distribution network

The invention relates to a novel method for identifying overvoltage inside a distribution network. An atomic decomposition algorithm optimized based on an imperial colonial competition algorithm is applied to the analysis of over-voltage signals, and the optimized algorithm can be used to extract the internal characteristics of signals quickly and effectively without being disturbed by noise. A three-phase characteristic atomic spectrum is constructed based on the atomic decomposition algorithm, waveform signals only containing time-domain information are converted into high-dimensional characteristics containing time-frequency information, and the time-frequency characteristics of overvoltage signals are described completely. The three-phase characteristic atomic spectrum is recognized directly by using a convolution neural network, the shortcomings of a shallow learning identification algorithm for the identification of high-dimensional characteristics are overcome, and the subjectivity and complexity in the process of characteristic reduction are avoided. Simulation waveforms and physical models verify that the distribution network overvoltage type identification method of the invention has high identification accuracy and strong adaptability.
Owner:FUZHOU UNIVERSITY
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