Abstract: The display substrate includes: a display area and a bezel area, the display area including a first display area and a second display area; first light emitting devices in the first display area and second light emitting devices in the second display area; first pixel drive circuits in the bezel area and second pixel drive circuits in the second display area, the first pixel drive circuits are connected to the first light emitting devices, and the second pixel drive circuits are connected to the second light emitting devices; and data lines in the second display area, each data line being connected to the first pixel drive circuits and the second pixel drive circuits which are respectively electrically connected to a column of first light emitting devices and a column of second light emitting devices, which are in the same column.

Abstract: A display panel and a display device are provided. In the display panel, a first display region includes first light-emitting units, and a second display region includes second light-emitting units, first pixel circuits and second pixel circuits, the first pixel circuit is connected with the first light-emitting unit, and the second pixel circuit is connected with the second light-emitting unit. The first display region includes a first region and a second region on a side of the first region away from the second display region, the second display region includes a third region and a fourth region on a side of the third region close to the first display region, the first light-emitting unit in the first region is connected with the first pixel circuit in the third region, the first light-emitting unit in the second region is connected with the first pixel circuit in the fourth region.

Abstract: A method, device and computer program product for controlling the device by tracking a movement of a hand or other objects. The device receives acoustic signals. At least a portion of the received signals are transformed into two-dimensional sinusoids whose frequencies are proportional to an angle-of-arrival (AoA) and a propagation distance of the reflected signals. An AoA-distance profile is derived based on signals received from the object by evaluating frequencies of the two-dimensional sinusoids. Then, an AoA-distance pair is derived from the AoA-distance profile. A current location of the object is determined based on the estimated AoA-distance pair. The device then performs a command in response to detecting that the user moved to perform the command based on prior and current locations of the object.

Abstract: Disclosed is a miniature smart lock with an anti-prising function, the miniature smart lock comprises a lock shell, and a magnetic rod, a push head, a bolt, a V-shaped push rod, an anti-prising guide slot, and a positioning guide pin, which are mounted in the lock shell, wherein a magnetic coil is mounted surrounding an outer portion of the magnetic rod; a magnetic rod spring is mounted on the magnetic rod on the left side of the magnetic coil; the push head is mounted at the right end of the magnetic rod; the V-shaped push rod is connected to the right end of the push head by means of a V-shaped push rod connection pin; and the V-shaped push rod is movably connected to the bolt by means of an anti-prising pin.

Abstract: A method for multi-dimensional impact detection and diagnosis of networks. The methods and systems dynamically explore only those network feature combinations that are likely to have problems by using a summary structure Sketch, for example. The method and systems capture fine-grained anomalies at a coarse level which allows for on-demand zoom into the finer-grained levels for further analysis.

Abstract: A method for multi-dimensional impact detection and diagnosis of networks. The methods and systems dynamically explore only those network feature combinations that are likely to have problems by using a summary structure Sketch, for example. The method and systems capture fine-grained anomalies at a coarse level which allows for on-demand zoom into the finer-grained levels for further analysis.

Abstract: A method, device and computer program product for controlling the device by tracking a movement of a hand or other objects. The device receives acoustic signals. At least a portion of the received signals are transformed into two-dimensional sinusoids whose frequencies are proportional to an angle-of-arrival (AoA) and a propagation distance of the reflected signals. An AoA-di stance profile is derived based on signals received from the object by evaluating frequencies of the two-dimensional sinusoids. Then, an AoA-di stance pair is derived from the AoA-di stance profile. A current location of the object is determined based on the estimated AoA-di stance pair. The device then performs a command in response to detecting that the user moved to perform the command based on prior and current locations of the object.

Abstract: A method for multi-dimensional impact detection and diagnosis of networks. The methods and systems dynamically explore only those network feature combinations that are likely to have problems by using a summary structure Sketch, for example. The method and systems capture fine-grained anomalies at a coarse level which allows for on-demand zoom into the finer-grained levels for further analysis.

Abstract: A method, system and computer program product for controlling a device (e.g., smartphone) by tracking a movement of a target (e.g., finger). A channel impulse response which characterizes signal traversal paths with different delays is estimated. Channel tap(s) corresponding to the target are then selected. The phase change of the selected channel taps is tracked based on the estimated channel impulse response to estimate a distance change of the target from the device. An estimate of an absolute distance between the device and the target is estimated based on the estimated channel impulse response. A more accurate absolute distance between the device and the target is calculated by combining the estimated absolute distance and the estimated distance change. The position of the target is then tracked based on a distance to different landmarks (e.g., microphones) on the device using the more accurate absolute distance and the estimated distance change.

Abstract: A method, system and computer program product for tracking movement of an object, such as a hand. Speakers of a device to be controlled transmit frequency modulated continuous wave (FMCW) audio signals. These signals are reflected by the object and received by the microphones at the controlled device. The received and transmitted audio signals are mixed. A fast Fourier transform (FFT) is then performed on the mixed audio signals. One or more peak frequencies in the frequency domain of the FFT mixed audio signals are selected and used to estimate the distance between the object and the speakers of the controlled device. Furthermore, the velocity of the object is estimated. The coordinates of the object are then computed using the estimated distance between the object and the speakers and microphones of the controlled device and the estimated velocity of the object.

Abstract: Communication networks go through frequent upgrades, whereby access point (AP) devices that serve network client devices are brought offline to effectuate the upgrade. Concurrently upgrading too many AP devices within a given geographic area can lead to coverage holes where no service is available, congestion where data cannot be sufficiently communicated, or other service degradation. On the other hand, upgrading too few AP devices within the area can result in a network-wide upgrade time that is too great. An architecture is presented that can efficiently generate a schedule for upgrading AP devices of a communication network.

Abstract: An approach for change roll out in wireless networks that utilizes a diverse set of features, such as software/hardware configuration, radio parameters, user population, mobility patterns, network topology and automatically identifies the test locations that would improve the predictability between the performance impacts during testing and network-wide deployment. Through automated and effective analysis of a wide variety of features, the approach for change roll out in wireless networks reflects the impacts observed during testing and predicts the performance of the post-test wide-scale deployment.

Abstract: A method, system and computer program product for tracking a mobile device. A reference position of the mobile device and a frequency offset between the mobile device and another device are estimated. Samples are then fetched at various frequencies from the receivers. The fetched signals are mixed with a pseudo transmitted signal. A relative distance between the mobile device and the other device is computed based on a change in frequency of the mixed signal at a current location, a velocity of the mobile device and the estimated frequency offset. An absolute distance between the mobile device and the other device is determined using the reference position and the computed relative distance. A location of the mobile device is then determined based on the mobile device's velocity and the determined absolute difference.

Abstract: A method, system and computer program product for controlling a device (e.g., smartphone) by tracking a movement of a target (e.g., finger). A channel impulse response which characterizes signal traversal paths with different delays is estimated. Channel tap(s) corresponding to the target are then selected. The phase change of the selected channel taps is tracked based on the estimated channel impulse response to estimate a distance change of the target from the device. An estimate of an absolute distance between the device and the target is estimated based on the estimated channel impulse response. A more accurate absolute distance between the device and the target is calculated by combining the estimated absolute distance and the estimated distance change. The position of the target is then tracked based on a distance to different landmarks (e.g., microphones) on the device using the more accurate absolute distance and the estimated distance change.

Abstract: Communication networks go through frequent upgrades, whereby access point (AP) devices that serve network client devices are brought offline to effectuate the upgrade. Concurrently upgrading too many AP devices within a given geographic area can lead to coverage holes where no service is available, congestion where data cannot be sufficiently communicated, or other service degradation. On the other hand, upgrading too few AP devices within the area can result in a network-wide upgrade time that is too great. An architecture is presented that can efficiently generate a schedule for upgrading AP devices of a communication network.

Abstract: A method for profiling network traffic of a network. The method includes capturing packets based at least on a common source IP address shared by each of the packets, where said each packet is assigned a source timestamp by a source of said each packet and further assigned a capture timestamp by a packet capturing device, identifying a first portion of the packets as a first flow and a second portion of the packets as a second flow, extracting a first monotonic timestamp-pair (MTSP) sequence and a second MTSP sequence from the first flow and the second flow, respectively, comparing the first MTSP sequence and the second MTSP sequence to generate a result, and determining, based on the result, whether the first flow and the second flow are generated by a single host of the network.

Abstract: An approach for change roll out in wireless networks that utilizes a diverse set of features, such as software/hardware configuration, radio parameters, user population, mobility patterns, network topology and automatically identifies the test locations that would improve the predictability between the performance impacts during testing and network-wide deployment. Through automated and effective analysis of a wide variety of features, the approach for change roll out in wireless networks reflects the impacts observed during testing and predicts the performance of the post-test wide-scale deployment.

Abstract: A method, system and computer program product for reducing network delay in video conferencing using random tree pushing. A plurality of nodes is randomly selected as next hop forwarders for a piece of content by a source who generates a video stream. Additional next hop forwarders are added to the randomly selected plurality of nodes to form a set of next hop forwarders until a total upload bandwidth of all next hop forwarders is no less than a bandwidth required to deliver the video stream to a set of receivers. The set of receivers in a video session is partitioned and each of the set of receivers is assigned to one of the set of next hop forwarders for forwarding the video stream to an assigned receiver either directly or through a multi-hop path.

Abstract: A method, system and computer program product for tracking movement of an object, such as a hand. Speakers of a device to be controlled transmit frequency modulated continuous wave (FMCW) audio signals. These signals are reflected by the object and received by the microphones at the controlled device. The received and transmitted audio signals are mixed. A fast Fourier transform (FFT) is then performed on the mixed audio signals. One or more peak frequencies in the frequency domain of the FFT mixed audio signals are selected and used to estimate the distance between the object and the speakers of the controlled device. Furthermore, the velocity of the object is estimated. The coordinates of the object are then computed using the estimated distance between the object and the speakers and microphones of the controlled device and the estimated velocity of the object.

Abstract: A method, system and computer program product for tracking a mobile device. A reference position of the mobile device and a frequency offset between the mobile device and another device are estimated. Samples are then fetched at various frequencies from the receivers. The fetched signals are mixed with a pseudo transmitted signal. A relative distance between the mobile device and the other device is computed based on a change in frequency of the mixed signal at a current location, a velocity of the mobile device and the estimated frequency offset. An absolute distance between the mobile device and the other device is determined using the reference position and the computed relative distance. A location of the mobile device is then determined based on the mobile device's velocity and the determined absolute difference.