Abstract: The present invention provides an in-vehicle display device, an in-vehicle display system, and a vehicle. The in-vehicle display device includes a display panel and an optical module. In a top view of the in-vehicle display device, a distance between the optical module and a left edge of the display panel or a distance between the optical module and a right edge of the display panel is from a 2 - L ? tan ? ( ? 2 ) + L ? 2 ? to ? a 2 + L ? tan ? ( ? 2 ) - L ? 2 , a distance between the optical module and an upper edge of the display panel is from 0 to b 2 + L ? tan ? ( ? 2 ) - L '' 2 cos ? ? , and a distance between the optical module and a lower edge of the display panel is from b 2 - L ? tan ? ( ? 2 ) - L '' 2 cos ? ? to b.

Abstract: A method for determining a presence of a pancreatic tumor, assessing a development or risk of development of a pancreatic tumor, and/or assessing a progression of a pancreatic tumor, including determining a presence and/or content of a modification status of a DNA region with gene EBF2 or a fragment thereof in a sample to be tested.

Abstract: Pixel designs with reduced LOFIC reset and settling times are disclosed herein. In one embodiment, a pixel cell includes a photosensor configured to photogenerate image charge in response to incident light, a floating diffusion to receive the image charge from the photosensor, a transfer transistor coupled between the floating diffusion and the photosensor to transfer the image charge to the floating diffusion, and a first reset transistor coupled between the floating diffusion and the voltage supply. The pixel cell further includes a capacitor having two ends, and a second reset transistor. A first end of the capacitor is coupled to the floating diffusion. The second reset transistor is coupled between a second end of the capacitor and the voltage supply.

Abstract: An image sensing device includes an image sensing circuit, a voltage supply grid, bitlines, and a control circuit. The image sensing circuit includes pixels arranged in rows and columns. Each one of the bitlines is coupled to a corresponding one of the columns. The voltage supply grid is coupled to the pixels. The control circuit is coupled to output at least a row select signal and a transfer signal to the rows. Each one of the rows is selectively coupled to the bitlines to selectively output image data signals in response to the row select signal and the transfer signal. Each one of the rows is further selectively coupled to the bitlines to selectively clamp the bitlines in response to the row select signal and the transfer signal. Each one of the rows is selectively decoupled from the bitlines in response to the row select signal.

Abstract: An imaging device includes a plurality of photodiodes arranged in a photodiode array to generate charge in response to incident light. The plurality of photodiodes includes first and second photodiodes. A shared floating diffusion receives charge transferred from the first and second photodiodes. An analog to digital converter (ADC) performs a first ADC conversion to generate a reference readout in response to charge in the shared floating diffusion after a reset operation. The ADC is next performs a second ADC conversion to generate a first half of a phase detection autofocus (PDAF) readout in response to charge transferred from the first photodiode to the shared floating diffusion. The ADC then performs a third ADC conversion to generate a full image readout in response to charge transferred from the second photodiode combined with the charge transferred previously from the first photodiode in the shared floating diffusion.

Abstract: An anomaly detection model is trained to detect malicious traffic sessions with a low rate of false positives. A sample feature extractor extracts tokens corresponding to human-readable substrings of incoming unstructured payloads in a traffic session. The tokens are correlated with a list of malicious traffic features and frequent malicious traffic features across the traffic session are aggregated into a feature vector of malicious traffic feature frequencies. An anomaly detection model trained on feature vectors for unstructured malicious traffic samples predicts the traffic session as malicious or unclassified. The anomaly detection model is trained and updated based on its' ongoing false positive rate and malicious traffic features in the list of malicious traffic features that result in a high false positive rate are removed.

Abstract: A technique for polar aligning the mount of a telescope or other astronomical instrument includes acquiring star images from an electronic polar scope and determining a location of a celestial pole relative to the star images based on computerized matching of the star images to information in a database. The mount has a right-ascension (RA) axis, and the technique directs an adjustment to the mount so as to align a location of the RA axis with the determined location of the celestial pole.

Abstract: An anomaly detection model is trained to detect malicious traffic sessions with a low rate of false positives. A sample feature extractor extracts tokens corresponding to human-readable substrings of incoming unstructured payloads in a traffic session. The tokens are correlated with a list of malicious traffic features and frequent malicious traffic features across the traffic session are aggregated into a feature vector of malicious traffic feature frequencies. An anomaly detection model trained on feature vectors for unstructured malicious traffic samples predicts the traffic session as malicious or unclassified. The anomaly detection model is trained and updated based on its' ongoing false positive rate and malicious traffic features in the list of malicious traffic features that result in a high false positive rate are removed.

Abstract: An imaging device includes a plurality of photodiodes arranged in a photodiode array to generate charge in response to incident light. The plurality of photodiodes includes first and second photodiodes. A shared floating diffusion receives charge transferred from the first and second photodiodes. An analog to digital converter (ADC) performs a first ADC conversion to generate a reference readout in response to charge in the shared floating diffusion after a reset operation. The ADC is next performs a second ADC conversion to generate a first half of a phase detection autofocus (PDAF) readout in response to charge transferred from the first photodiode to the shared floating diffusion. The ADC then performs a third ADC conversion to generate a full image readout in response to charge transferred from the second photodiode combined with the charge transferred previously from the first photodiode in the shared floating diffusion.

Abstract: An imaging device includes a photodiode array with a first and second photodiodes. First and second floating diffusions are configured to receive charge from the first and second photodiodes, respectively. An analog to digital converter (ADC) is configured to receive simultaneously first and second bitline signals from the first and second floating diffusions, respectively. The ADC is configured to generate a reference readout in response to the first and second bitline signals after a reset operation. The ADC next generates a first half of a phase detection autofocus (PDAF) readout in response to the first and second bitline signals after charge is transferred from the first PDAF photodiode to the first floating diffusion. The ADC then generates a full image readout in response to the first and second bitline signals after charge is transferred from the second photodiode to the second floating diffusion.

Abstract: A comparator includes a first stage including a first output to generate a first output signal that transitions between an upper and lower voltage level in response to a comparison of first and second inputs of the first stage. A second stage includes an input coupled to receive the first output signal from the first output of the first stage, and a second output configured to generate a second output signal in response to the first output signal. A clamp circuit includes a first node and a second node. The first node is coupled to the first output of the first stage and the second node is coupled to a supply voltage. The clamp circuit is configured to clamp a voltage difference between the first node and the second node to clamp a voltage swing of the first output signal.

Abstract: A comparator includes a first stage including a first output to generate a first output signal that transitions between an upper and lower voltage level in response to a comparison of first and second inputs of the first stage. A second stage includes an input coupled to receive the first output signal from the first output of the first stage, and a second output configured to generate a second output signal in response to the first output signal. A clamp circuit includes a first node and a second node. The first node is coupled to the first output of the first stage and the second node is coupled to a supply voltage. The clamp circuit is configured to clamp a voltage difference between the first node and the second node to clamp a voltage swing of the first output signal.

Abstract: An image sensing device includes an image sensing circuit, a voltage supply grid, bitlines, and a control circuit. The image sensing circuit includes pixels arranged in rows and columns. Each one of the bitlines is coupled to a corresponding one of the columns. The voltage supply grid is coupled to the pixels. The control circuit is coupled to output at least a row select signal and a transfer signal to the rows. Each one of the rows is selectively coupled to the bitlines to selectively output image data signals in response to the row select signal and the transfer signal. Each one of the rows is further selectively coupled to the bitlines to selectively clamp the bitlines in response to the row select signal and the transfer signal. Each one of the rows is selectively decoupled from the bitlines in response to the row select signal.

Abstract: An anomaly detection model is trained to detect malicious traffic sessions with a low rate of false positives. A sample feature extractor extracts tokens corresponding to human-readable substrings of incoming unstructured payloads in a traffic session. The tokens are correlated with a list of malicious traffic features and frequent malicious traffic features across the traffic session are aggregated into a feature vector of malicious traffic feature frequencies. An anomaly detection model trained on feature vectors for unstructured malicious traffic samples predicts the traffic session as malicious or unclassified. The anomaly detection model is trained and updated based on its' ongoing false positive rate and malicious traffic features in the list of malicious traffic features that result in a high false positive rate are removed.

Abstract: An image sensing device includes an image sensing circuit, a voltage supply grid, bitlines, and a control circuit. The image sensing circuit includes pixels arranged in rows and columns. Each one of the bitlines is coupled to a corresponding one of the columns. The voltage supply grid is coupled to the pixels. The control circuit is coupled to output at least a row select signal and a transfer signal to the rows. Each one of the rows is selectively coupled to the bitlines to selectively output image data signals in response to the row select signal and the transfer signal. Each one of the rows is further selectively coupled to the bitlines to selectively clamp the bitlines in response to the row select signal and the transfer signal. Each one of the rows is selectively decoupled from the bitlines in response to the row select signal.

Abstract: An image sensing device includes an image sensing circuit, a voltage supply grid, bitlines, and a control circuit. The image sensing circuit includes pixels arranged in rows and columns. Each one of the bitlines is coupled to a corresponding one of the columns. The voltage supply grid is coupled to the pixels. The control circuit is coupled to output at least a row select signal and a transfer signal to the rows. Each one of the rows is selectively coupled to the bitlines to selectively output image data signals in response to the row select signal and the transfer signal. Each one of the rows is further selectively coupled to the bitlines to selectively clamp the bitlines in response to the row select signal and the transfer signal. Each one of the rows is selectively decoupled from the bitlines in response to the row select signal.

Abstract: A technique for polar aligning the mount of a telescope or other astronomical instrument includes acquiring star images from an electronic polar scope and determining a location of a celestial pole relative to the star images based on computerized matching of the star images to information in a database. The mount has a right-ascension (RA) axis, and the technique directs an adjustment to the mount so as to align a location of the RA axis with the determined location of the celestial pole.

Abstract: In one aspect, the invention provides a method implemented by an analog hardware circuit for fast frequency estimation. The analog circuit may be implemented a main oscillator circuit block [100], a P matrix circuit block [102], a K matrix circuit block[104], and a sigma integrator circuit block [106]. From input signals [108] having unknown frequency, amplitude and phase, the analog hardware circuit generates estimates of state variables xi, x2, x3 of a model oscillator, and outputs a sinusoidal estimate [110] of the model oscillator signal. The analog hardware circuit generates the estimates by implementing in continuous time an extended Kalman filter that relates a generating frequency 107 of the model oscillator to x3 by an affine transformation ?=?0+£x3, where k is a slope of a frequency error estimate and coo is a best estimate input signal frequency.

Abstract: In one aspect, the invention provides a method implemented by an analog hardware circuit for fast frequency estimation. The analog circuit may be implemented a main oscillator circuit block [100], a P matrix circuit block [102], a K matrix circuit block[104], and a sigma integrator circuit block [106]. From input signals [108] having unknown frequency, amplitude and phase, the analog hardware circuit generates estimates of state variables x, x2, x3 of a model oscillator, and outputs a sinusoidal estimate [110] of the model oscillator signal. The analog hardware circuit generates the estimates by implementing in continuous time an extended Kalman filter that relates a generating frequency co of the model oscillator to x3 by an affine transformation ?=?0+£x3, where k is a slope of a frequency error estimate and coo is a best estimate input signal frequency.