Abstract: A method for operating an electronic device includes transmitting signals to an external electronic device. The method also includes receiving signals from the external electronic device. The method further includes generating location information of the external electronic device relative to the electronic device based on a differences between the transmitted signals and the received signals. Additionally, the method includes determining an action for changing a state on at least one of the electronic device or the external electronic device based on the location information. In response to determining that the action is associated with the electronic device, the method includes performing the action. Additionally or alternatively, in response to determining that the action is associated with the external electronic device, the method includes sending an instruction to the external electronic device to perform the action.

Abstract: A method includes obtaining a channel impulse response (CIR) based on multiple ultrawide band (UWB) measurements between a mobile device and a target object. The method also includes estimating a first distance between the mobile device and the target object based on an energy of the CIR. The method also includes estimating a second distance between the mobile device and the target object based on a phase of the CIR. The method also includes obtaining an estimated distance between the mobile device and the target object based on at least one of the first distance and the second distance.

Abstract: A method for localizing a target device (TD) by a user device (UD) includes determining whether the TD is within a range and within a field-of-view (FoV) of the UD based on a UWB channel between the TD and the UD. In response to a determination that the TD is outside the range and not within the FoV, the method includes identifying a first electronic device. The method also includes transmitting, to the first electronic device, a request for localizing the TD using an out-of-band channel. The method further includes receiving, from the first electronic device, location information of the TD on the out-of-band channel. The location information represents a candidate location of the TD in a coordinate system of the first or a second electronic device. Additionally, the method includes identifying a TD location with respect to a coordinate system of the UD based on the candidate location.

Abstract: An example method includes detecting, using sensors, packets throughout a datacenter. The sensors can then send packet logs to various collectors which can then identify and summarize data flows in the datacenter. The collectors can then send flow logs to an analytics module which can identify the status of the datacenter and detect an attack.

Abstract: A method includes obtaining wireless fidelity (Wi-Fi) based channel state information (CSI). The method also includes filtering the CSI to remove radio frequency (RF) interference. The method further includes executing a motion detection module that detects for motion in a space based on whether macro-movements are present in the filtered CSI, and provides an indication that the space is occupied upon detecting motion in the space. The method also includes, in response to the indication that the space is occupied, executing an occupancy detection module that detects whether the space is still occupied based on whether micro-movements and breath signals are present in the filtered CSI, retains the indication that the space is occupied upon detecting that the space is still occupied, and provides an indication that the space is not occupied upon detecting that the space is no longer occupied.

Abstract: A method for presence detection using ultra-wide band (UWB) radar includes obtaining a set of centroids based on UWB radar measurements. The method includes, for each respective centroid among the set of centroids: classifying the respective centroid as one among human movement and non-human movement, based on a set of features for the respective centroid satisfying a human-movement condition; and when the respective centroid is classified as the human movement, determining a two-dimensional (2D) location of human movement based on the UWB radar measurements. The method includes updating a current state value that indicates whether a human presence is detected inside boundaries of a 3D space, based at least in part on the classification of each of the respective centroids among the set of centroids.

Abstract: A method includes obtaining signal information based on wireless signals communicated between an electronic device and a target device. The method also includes obtaining motion information based on movement of the electronic device. The method further includes identifying first location information based on the motion information and the channel information. Additionally, the method includes identifying second location information based on the orientation of the electronic device and the AoA information. The method also includes determining whether the electronic device is in motion. The method further includes determining whether the target device is within the FoV or outside the FoV of the electronic device based in part on the first location information in response to determining that the electronic device is not in motion or the second location information in response to determining that the electronic device is in motion.

Abstract: An example method includes detecting, using sensors, packets throughout a datacenter. The sensors can then send packet logs to various collectors which can then identify and summarize data flows in the datacenter. The collectors can then send flow logs to an analytics module which can identify the status of the datacenter and detect an attack.

Abstract: An image forming apparatus includes an attachment part and a sheet feeding cassette attached to the attachment part. The sheet feeding cassette includes a cassette main body, a lift plate, a lock member and a biasing member. The lift plate is supported in a turnable manner. The lock member is movable between a lock position where a turning of the lift plate is restricted and a release position where the turning of the lift plate is permitted. The biasing member biases the lock member to the lock position. In a state where the sheet feeding cassette is not attached to the attachment part, the lock member is biased by the biasing member to be positioned at the lock position. In a state where the sheet feeding cassette is attached to the attachment part, the lock member is movable either to the lock position or the release position by hand.

Abstract: An example method includes detecting, using sensors, packets throughout a datacenter. The sensors can then send packet logs to various collectors which can then identify and summarize data flows in the datacenter. The collectors can then send flow logs to an analytics module which can identify the status of the datacenter and detect an attack.

Abstract: A method includes obtaining signal information based on wireless signals communicated between an electronic device and a target device. The method also includes obtaining motion information based on movement of the electronic device. The method further includes identifying first location information based on the signal information, the first location information indicating whether the target device is within a field of view (FoV) of the electronic device. Additionally, the method includes identifying second location information based on the motion information and the signal information, the second location information indicating whether the target device is within the FoV of the electronic device. The method also includes determining that the target device is within the FoV or outside the FoV of the electronic device based on at least one of the first location information or the second location information.

Abstract: Detecting anomalous behavior using a browser extension, including: gathering first information describing activity associated with a user and generated by a browser extension on a user device; gathering second information describing activity associated with the user and generated by an application executed on the user device; and determining, based on the first information and the second information, whether the user has deviated from normal activity.

Abstract: An example method includes detecting, using sensors, packets throughout a datacenter. The sensors can then send packet logs to various collectors which can then identify and summarize data flows in the datacenter. The collectors can then send flow logs to an analytics module which can identify the status of the datacenter and detect an attack.

Abstract: An example method can include choosing a pattern or patterns of network traffic. This pattern can be representative of a certain type of traffic such as an attack. The pattern can be associated with various components of a network and can describe expected behavior of these various components. A system performing this method can then choose a nodes or nodes to generate traffic according to the pattern and send an instruction accordingly. After this synthetic traffic is generated, the system can compare the behavior of the components with the expected behavior. An alert can then be created to notify an administrator or otherwise remedy any problems.

Abstract: A method includes obtaining signal information based on wireless signals received from an external electronic device via a first antenna pair and a second antenna pair. The first and second antenna pairs are aligned along different axes. The signal information includes channel information, range information, a first angle of arrival (AoA) based on the first antenna pair, and a second AoA based on the second antenna pair. The method also includes generating an initial prediction of a presence of the external electronic device relative to a field of view (FoV) of the electronic device. The method further includes performing a smoothing operation on the range information and the first and second AoA, the smoothing operation generating a predicted location of the external electronic device relative to the FoV of the electronic device. Additionally, the method includes generating, based on the smoothing operation, confidence values associated with the predicted location.

Abstract: A sheet conveyance device includes a sheet passage, a first sheet stacker, a second sheet stacker, and a sheet feeder. The first sheet stacker has a bottom and a lift. The sheet feeder includes an opening and a feed roller. The sheet conveyance device includes an assist plate supported to be movable between a first and a second position and an urging member. With the first sheet stacker mounted in an apparatus body, the assist plate moves from the first to the second position against the urging force of the urging member to allow passage of a sheet from the first sheet stacker to the sheet feeder. With the first sheet stacker removed from the apparatus body, the assist plate is urged by the urging member to move from the second to the first position to support the sheet conveyed from the second sheet stacker to the sheet feeder.

Abstract: A sheet conveyance device includes a sheet passage, a first sheet stacker, a second sheet stacker, and a sheet feeder. The first sheet stacker has a bottom and a lift. The sheet feeder includes an opening and a feed roller. The sheet conveyance device includes an assist plate supported to be movable between a first and a second position and an urging member. With the first sheet stacker mounted in an apparatus body, the assist plate moves from the first to the second position against the urging force of the urging member to allow passage of a sheet from the first sheet stacker to the sheet feeder. With the first sheet stacker removed from the apparatus body, the assist plate is urged by the urging member to move from the second to the first position to support the sheet conveyed from the second sheet stacker to the sheet feeder.

Abstract: Systems, methods, and computer-readable media for gathering network intrusion counter-intelligence. A system can maintain a decoy network environment at one or more machines. The system can identify a malicious user accessing network services through the network environment. Further, the system can receive network service access requests from the user at one or more machines in the network environment and subsequently direct the network service access requests from the malicious user to the decoy network environment based on an identification of the malicious user. The network services access requests can be satisfied with network service access responses generated in the decoy network environment. Subsequently, the system can maintain malicious user analytics based on the network service access requests of the malicious user that are directed to the decoy network environment.

Abstract: A method includes obtaining channel information, range information, and angle of arrival (AoA) information based on wireless signals communicated between an electronic device and an external electronic device. The method also includes generating an initial prediction of a presence of the external electronic device relative to a field of view (FoV) of the electronic device based on the channel information and at least one of the range information or the AoA information. The initial prediction includes an indication of whether the external electronic device is within the FoV or outside the FoV of the electronic device. The method further includes performing, using a tracking filter, a smoothing operation on the range information and the AoA information. Additionally, the method includes determining that the external electronic device is within the FoV of the electronic device based on the AoA information, the smoothed AoA information, and the initial prediction.

Abstract: A method includes obtaining a channel impulse response (CIR) based on multiple ultrawide band (UWB) measurements between a mobile device and a target object. The method also includes estimating a first distance between the mobile device and the target object based on an energy of the CIR. The method also includes estimating a second distance between the mobile device and the target object based on a phase of the CIR. The method also includes obtaining an estimated distance between the mobile device and the target object based on at least one of the first distance and the second distance.