Abstract: Disclosed herein is a route guidance method. The route guidance method includes calculating a driving route from a current location of a moving body to a destination, determining whether an intersection or a forked road exists at a predetermined distance from the current location of the moving body on the calculated driving route, checking, when the intersection or the forked road exists, link information corresponding to a lane in which the moving body is located and determining a moving direction toward the intersection or the forked road, determining an entry route for entering the intersection or the forked road according to the determined moving direction, and transmitting the determined entry route to the moving body.

Abstract: Examples include detecting objects and determining a set of features for the objects. Examples include receiving a first image input, generating a number of feature maps from the first image input using a number of convolution filters, generating a first number of fully connected layers directly based on the number of feature maps, and detecting a number of objects in the first image and determining a set of features for each object from the first number of fully connected layers.

Abstract: Systems and methods are provided for predicting handover events in wireless communications systems, such as 4G and 5G communications networks. Machine learning is used to refine the predicting of handover events, where per-cell local handover prediction models may be trained by mobile user devices operating in the wireless communications systems. Parameters gleaned from the localized training of the per-cell local handover prediction models may be shared by multiple mobile user devices and aggregated by a global handover prediction model, which in turn may be used to derive refined per-cell local handover prediction models that can be disseminated to the mobile user devices.

Abstract: Embodiments are directed to interference-aware link-rate adaptation for wireless communication. An embodiment of a storage medium includes instructions to operations including receiving data regarding wireless signals received by an access point, the access point to provide Wi-Fi communication, the wireless signals being communicated in an unlicensed radio spectrum; performing spectral analysis of the received wireless signals to identify a channel of an LTE (Long-Term Evolution) signal; and upon determining that energy level of the LTE signal is below an energy detection (ED) level and that the channel is a primary Wi-Fi channel for the access point, adapting a link rate for the access point based on channel state information for the channel.

Abstract: Example implementations relate to mobile virtual private network (mVPN) configuration. For example, a system for mVPN configuration may include a configuration selector to intercept an internet protocol (IP) packet in a mobile virtual private network (mVPN) and select a mVPN configuration for the IP packet using a lookup table. The system may further include a configuration adapter to adapt the IP packet according to the selected mVPN configuration.

Abstract: An example method of operating a network may include determining whether a flow is to be added to the network based on: a flow type of the flow, a link condition of the flow, and for each possible combination of flow type and link condition out of multiple flow types and multiple link conditions, the number of flows currently carried on the network that correspond to the respective combination.

Abstract: There is provided a method for providing driver's driving information of a user terminal device, including accessing a driving information providing server storing data generated in a driving recording device for a vehicle, receiving driving record data including event record data corresponding to a driving-related event of a driver from the driving information providing server, and displaying a driving-related event occurrence location on a map using the received driving record data. The driving-related event may include at least two or more of a lane departure event, a forward collision possibility event, a rear side collision possibility event, a sudden deceleration event, a sudden acceleration event, a sudden stop event, a sudden start event, and a speeding event.

Abstract: A method for a user equipment (UE) to determine locations for M candidate physical downlink control channels (PDCCHs) in a set of N physical resource blocks (PRBs) in a transmission time interval (TTI) is provided. The method includes determining a location for each of M candidate PDCCHs in a different PRB if N is greater than or equal to M and determining a location for each of N candidate PDCCHs in a different PRB and determining a location for each of remaining M?N candidate PDCCHs in a different PRB if M is greater than N and 2N is greater than or equal to M.

Abstract: Systems and methods are provided for an improved machine learning (ML) model system. The improved ML system can be configured to (1) initially classify the types of images and videos received by the various devices and provide the classified input to different ML models based on the classification (e.g., of the distortion level, etc.), and/or (2) reuse portions (referred to as base components) of each ML model where parameters of the base components are unchanged across the various ML models, while replacing other portions (referred to as adapted components) of the ML model where the parameters of the adapted components may change greatly.

Abstract: The present invention relates to a catalyst for oxidative dehydrogenation and a method of preparing the same. More particularly, the present invention provides a catalyst for oxidative dehydrogenation having a porous structure which may easily control heat generation due to high-temperature and high-pressure reaction conditions and side reaction due to the porous structure and thus exhibits superior product selectivity, and a method of preparing the catalyst.

Abstract: Disclosed is an asymmetrical half-bridge converter having high efficiency in a wide input voltage range. The converter may include a primary-side circuit including a first switch, a second switch, a primary-side capacitor, an additional inductor, and a primary-side magnetization inductor, and a secondary-side circuit including first and second diodes connected in series, first and second capacitors connected in series, a secondary-side rectification inductor having one end connected to the anode of the first diode and cathode of the second diode, and having the other end connected between the first and second capacitors connected in series, a first coupling inductor having one end connected to the cathode of the first diode and having the other end connected to the first capacitor, and a second coupling inductor having one end connected to the anode of the second diode and having the other end connected to the second capacitor.

Abstract: A method of controlling an air-fuel ratio in a pre-ignition (PI) situation, may include: monitoring, by a PI detector, whether PI occurs in a cylinder of a plurality of cylinders of an engine; and when the PI occurs in the cylinder of the plurality cylinders, controlling, by a controller, an air-fuel ratio of the cylinder in which the PI occurs to be smaller than a theoretical air-fuel ratio, and controlling an air-fuel ratio of a remaining cylinder of the plurality of cylinders in which PI does not occur to be larger than the theoretical air-fuel ratio.

Abstract: Provided is an image processing method. The image processing method includes receiving images acquired from a plurality of vehicles positioned on a road; storing the received images according to acquisition information of the received images; determining a reference image and a target image based on images having the same acquisition information among the stored images; performing an image registration using a plurality of feature points extracted from each of the determined reference image and target image; performing a transparency process for each of the reference image and the target image which are image-registered; extracting static objects from the transparency-processed image; and comparing the extracted static objects with objects on map data which is previously stored and updating the map data when the objects on the map data which is previously stored and the extracted static objects are different from each other.

Abstract: In a wireless communication system, a control channel is required in order to use limited resources effectively. However, the control channel resource is part of the system overhead, and thus reduces the data channel resource used for data transmission. In the long term evolution (LTE) system based on OFDM, one sub frame the consists of fourteen OFDM symbols wherein a maximum of three OFDM symbols are used for the control channel resource and remaining eleven OFDM symbols are used for the data channel resource. Therefore, the quantity of energy that can be transmitted for the control channel resource is extremely limited compared to the data channel resource. For this reason, the coverage of the control channel becomes less than that of the data channel, and even if a user can successfully receive the data channel, reception failure of a control channel sometimes results in failure of data recovery.

Abstract: An example video analytics device can include a memory, a processor executing instructions stored in the memory, an active region detector to identify a plurality of active regions of a plurality of video streams, wherein the plurality of active regions are sections in the plurality of video streams that change from a first frame to a second frame, and a bin packer communicatively coupled with the processor to combine the plurality of active regions to produce a multi-batch of an individual slice, wherein the multi-batch of the individual slice is a batch including the plurality of active regions that is processed at once.

Abstract: A method of adjusting a communication link of a client device of a wireless local area network is described. The method includes monitoring two or more communication links between two or more client devices and a network device in a wireless local area network. The two or more client devices including a first client device and a second client device. The method also includes detecting a degradation in a first communication link between the first client device and the network device. The communication link degradation is not detected in a second communication link between the second client device and the network device. The method further includes determining the degradation in the first communication link is caused at least in part by interference from cellular network communications.

Abstract: A method for measuring an inter-vehicle distance includes acquiring a driving image photographed by a photographing device of a first vehicle which is being driven; detecting a second vehicle from the acquired driving image; detecting first feature points of a second vehicle region in a first frame corresponding to a frame in which the second frame is detected before a frame in which the second vehicle is not detected among a plurality of frames constituting the driving image, when the second vehicle is not detected from the driving image; detecting second feature points in a second frame corresponding to a current frame by tracking the detected first feature points; calculating a feature point change value between the first feature points and the second feature points; and calculating an inter-vehicle distance from the photographing device of the first vehicle to the second vehicle based on the calculated feature point change value.

Abstract: Example method includes: transmitting a plurality of probe images from an IoT device at an edge network to a server hosting a target DNN, wherein the plurality of images are injected with a limited amount of noise to probe sensitivities of the target DNN to the red, green, and blue colors; receiving a feedback comprising a plurality of DCT coefficients unique to target DNN from the server hosting the target DNN; computing a plurality of color conversion weights based on the feedback received from the server; converting a set of real-time images from RGB color space to YUV color space using the plurality of color conversion weights unique to the target DNN; compressing the set of real-time images using a quantization table unique to the target DNN by the IoT device; and transmitting the compressed set of real-time images to the server hosting the target DNN for DNN inferences.

Abstract: A system described herein provides real-time wireless video delivery using a multi-channel communications link. A method of employing elements of the system includes generating a first set of video data and generating a second set of video data. Further, encoding the first set of video data such that the second set of video data is a higher resolution version of the first set of video data and the encoded first set of video data is to supplement the second set of video data in response to a data drop.

Abstract: Example method includes receiving, at an access point (AP), a plurality of virtual reality (VR) data from each of a plurality untethered mobile devices associated with a multi-user VR environment, receiving, at the AP, an indication of an atomic data block size for data to be transmitted to one or more of the plurality of untethered mobile devices, reducing, by the AP and based on the indication, a transmission duration of a VR data block to be transmitted to one or more of the plurality of untethered mobile devices.