Abstract: An autonomous mobile device (AMD) moves around a physical space while performing tasks. The AMD may have sensors with fields of view (FOVs) that are forward-facing. As the AMD moves forward, a safe region is determined based on data from those forward-facing sensors. The safe region describes a geographical area clear of obstacles during recent travel. Before moving outside of the current FOV, the AMD determines whether a move outside of the current FOV keeps the AMD within the safe region. For example, if a path that is outside the current FOV would result in the AMD moving outside the safe region, the AMD modifies the path until poses associated with the path result in the AMD staying within the safe region. The resulting safe path may then be used by the AMD to safely move outside the current FOV.

Abstract: Embodiments provide a core network selection method, an apparatus, and a system. The method includes the following steps: obtaining first dedicated core network (DCN) information from an access network device, where the first DCN information includes information about at least one DCN that can be accessed by the access network device. The method also includes selecting a to-be-accessed DCN from the at least one DCN according to the first DCN information, and sending information about the to-be-accessed DCN to the access network device, so that the access network device determines a core network device according to the information about the to-be-accessed DCN.

Abstract: The present disclosure provides a biosensor chip including: a top cover including a sample loading slot for injecting blood sample, a glue injection hole, and a vent hole; a plasma separation membrane overlapping the sample slot; a conjugate pad overlapping the plasma separation membrane; an optical fiber; and a bottom cover including a conjugate pad groove for setting the conjugate pad, an optical fiber channel for setting the optical fiber, a glue injection groove corresponding to the position of the glue injection hole in the top cover, and a waste liquid tank, wherein the conjugate pad groove and the optical fiber channel are connected, the glue injection groove overlaps with the optical fiber channel, the vent hole is located on the waste liquid tank, and the upper cover further includes a separation membrane groove where the plasma separation membrane is set, and a flow channel connecting the optical fiber channel and the waste liquid tank.

Abstract: Methods for calculating the radiation dose to the immune system of a patient undergoing radiotherapy are provided. In particular, the methods provide for calculating an effective dose to blood (EDIC) to circulating immune cells. The methods can be incorporated into radiotherapy (RT) treatment planning systems, which are also provided. The methods can be used to optimize patient treatment plans. Methods for treating a patient with RT with an optimized treatment plan are provided.

Abstract: The present specification discloses a trusted execution environment (TEE)-based model training method and apparatus. In one or more embodiments, the method includes: obtaining encrypted target samples from an encrypted training sample set in a first execution environment, inputting the encrypted target samples into a second execution environment that is a trusted execution environment (TEE) different from the first execution environment, decrypting the encrypted target samples in the TEE to obtain decrypted target samples, inputting the decrypted target samples into a feature extraction model in the TEE to determine sample features, determining the sample features output from the TEE as target sample features for a current iteration of a training process for a target model, and performing, based on the target sample features, the current iteration on the target model in the first execution environment.

Abstract: A photographing method includes: performing a key point detection on a human body in a photographing scene to obtain a human body key point set of the human body; determining a composition key point set corresponding to the photographing scene; in response to the human body key point set not matching the composition key point set, generating and outputting a prompt message to adjust an attitude of the electronic device; and in response to the human body key point set matching the composition key point set, performing a photographing operation on the photographing scene to obtain a target image.

Abstract: A positioning method comprises acquiring positioning information of a 5G base station from a satellite, obtaining calibration information based on the positioning information, and broadcasting outwards the calibration information; acquiring initial positioning information of a user terminal from the satellite; accessing a nearest 5G base station in real time, monitoring and acquiring calibration information broadcasted by the nearest 5G base station; and calibrating the initial positioning information acquired in the initial positioning step according to the calibration information acquired in the monitoring step to obtain positioning result information. As described above, the positioning of centimeter level precision can be realized by utilizing the 5G base station, and there is no need to additionally establish a CORS base station and a data center, thereby the cost of precise positioning can be reduced.

Abstract: Methods for calculating the radiation dose to the immune system of a patient undergoing radiotherapy are provided. In particular, the methods provide for calculating an effective dose to blood (EDIC) to circulating immune cells. The methods can be incorporated into radiotherapy (RT) treatment planning systems, which are also provided. The methods can be used to optimize patient treatment plans. Methods for treating a patient with RT with an optimized treatment plan are provided.

Abstract: The present specification discloses a trusted execution environment (TEE)-based model training method and apparatus. In one or more embodiments, the method includes: obtaining encrypted target samples from an encrypted training sample set in a first execution environment, inputting the encrypted target samples into a second execution environment that is a trusted execution environment (TEE) different from the first execution environment, decrypting the encrypted target samples in the TEE to obtain decrypted target samples, inputting the decrypted target samples into a feature extraction model in the TEE to determine sample features, determining the sample features output from the TEE as target sample features for a current iteration of a training process for a target model, and performing, based on the target sample features, the current iteration on the target model in the first execution environment.

Abstract: A positioning method comprises acquiring positioning information of a 5G base station from a satellite, obtaining calibration information based on the positioning information, and broadcasting outwards the calibration information; acquiring initial positioning information of a user terminal from the satellite; accessing a nearest 5G base station in real time, monitoring and acquiring calibration information broadcasted by the nearest 5G base station; and calibrating the initial positioning information acquired in the initial positioning step according to the calibration information acquired in the monitoring step to obtain positioning result information. As described above, the positioning of centimeter level precision can be realized by utilizing the 5G base station, and there is no need to additionally establish a CORS base station and a data center, thereby the cost of precise positioning can be reduced.

Abstract: An inter-vehicle wireless payment method employing 5G communication network comprises a requesting vehicle sending a payment request to a base station; the base station retrieving vehicle information of a friend vehicle of the requesting vehicle based on the payment request; the base station encrypting request information with the vehicle information and broadcasting it; vehicles in coverage of the base station decoding broadcast information with respective vehicle information, and upon successful decoding, the friend vehicle as a responding vehicle acquiring the request information; the responding vehicle generating payment information based on the request information and sending it to the base station, the base station sending the payment information to a payment platform, and the payment platform returning a payment result to the responding vehicle; and the base station allocating a D2D communication channel to the requesting and responding vehicles, and the responding and requesting vehicles communicating

Abstract: Methods for directly measuring a patient's relative sensitivity to radiation therapy are provided. In particular, the methods provide for calculating a radiation sensitivity quotient for monocytes in culture. The methods can be incorporated into radiotherapy (RT) treatment planning systems, which are also provided. The methods can be used to optimize patient treatment plans, thereby developing patient-specific radiation treatment plans. Methods for treating a patient with radiotherapy with an optimized treatment plan are provided.

Abstract: An apparatus (5) manages resources of a resource-controlled system (1), e.g. data processing resources in a data processing system. The resource-controlled system (1) has resource-elasticity, namely it may operate in several states involving different amounts of system resources. The resource management apparatus (5) may select a modification action having at least one resource variation parameter. The resource variation parameter represents a resource quantity to be added or removed in the resource-controlled system (1). The apparatus (5) may update a value function of an adaptive learning agent (7) as a function of performance metrics (4) measured after the resources of the resource-controlled system have been modified by effecting the modification action. Responsive to a safety criterion not being fulfilled, a finer resource variation parameter may be substituted.

Abstract: Methods for calculating the radiation dose to the immune system of a patient undergoing radiotherapy are provided. In particular, the methods provide for calculating an effective dose to blood (EDIC) to circulating immune cells. The methods can be incorporated into radiotherapy (RT) treatment planning systems, which are also provided. The methods can be used to optimize patient treatment plans. Methods for treating a patient with RT with an optimized treatment plan are provided.

Abstract: The present disclosure provides a fee calculation apparatus. The fee calculation apparatus includes: a first receiving unit configured to receive a unique identification of a vehicle; a transmission unit configured to send a first request to a vehicle payment system after completing a fee calculation, the first request including the unique identification of the vehicle; and a second receiving unit configured to receive a response to the first request from the vehicle payment system. The disclosure also provides a fee calculation method, a charging post including the fee calculation apparatus, a vehicle communicating with the fee calculation apparatus or the charging post, a vehicle payment system, a signaling transmission method and a computer storage medium for the vehicle payment system.

Abstract: An inter-vehicle wireless payment method employing 5G communication network comprises a requesting vehicle sending a payment request to a base station; the base station retrieving vehicle information of a friend vehicle of the requesting vehicle based on the payment request; the base station encrypting request information with the vehicle information and broadcasting it; vehicles in coverage of the base station decoding broadcast information with respective vehicle information, and upon successful decoding, the friend vehicle as a responding vehicle acquiring the request information; the responding vehicle generating payment information based on the request information and sending it to the base station, the base station sending the payment information to a payment platform, and the payment platform returning a payment result to the responding vehicle; and the base station allocating a D2D communication channel to the requesting and responding vehicles, and the responding and requesting vehicles communicating

Abstract: A configuration method, equipment, system and computer readable medium for determining a new configuration of calculation resources associated to a function and to at least one future time slot, the calculation resources being defined as different calculation capacities allocated to the function during a time slot and included within at least one computer, the configuration method comprising a first step of determining an old demand, a second step of determining a plurality of conditional probabilities associated to the old demand and to a plurality of new demands, a third step of determining a plurality of reconfiguration costs associated to a plurality available configurations, a step of selecting the new configuration as being the available configuration associated to the minimal reconfiguration cost.

Abstract: An apparatus (5) manages resources of a resource-controlled system (1), e.g. data processing resources in a data processing system. The resource-controlled system (1) has resource-elasticity, namely it may operate in several states involving different amounts of system resources. The resource management apparatus (5) may select a modification action having at least one resource variation parameter. The resource variation parameter represents a resource quantity to be added or removed in the resource-controlled system (1). The apparatus (5) may update a value function of an adaptive learning agent (7) as a function of performance metrics (4) measured after the resources of the resource-controlled system have been modified by effecting the modification action. Responsive to a safety criterion not being fulfilled, a finer resource variation parameter may be substituted.

Abstract: A method of determining a set of virtual machine instances in a virtualized system to be scaled in response to a variation in workload of a service or application component, the method comprising generating respective sets of aggregated metrics for respective ones of multiple virtual machines, generating a directed graph in which nodes representing a resource of one or more of the multiple virtual machines are linked using one or more edges, the weight of each of the edges representing a time-lagged partial correlation value and a time lag value representing a measure of when to scale one resource relative to another, determining the set of virtual machine instances to be scaled by removing edges of the directed graph whose weight falls below a threshold measure and removing nodes whose incident edges have been removed, and scaling the weight of remaining edges of the directed graph relative to a selected node of the graph.

Abstract: A human ?-defensin 5 variant is obtained by adding amino acid residues at C-terminal of ?-defensin 5 and then being modified to link an aliphatic acid. At least one of the added amino acid residues has a free amino group, and the free amino group is modified to link an aliphatic acid with 8-24 carbon atoms. The variant is used in manufacture of an antibacterial agent and an immunomodulatory agent. Antibacterial activity is significantly enhanced by extending and modifying the C-terminal of HD-5; in particular, salt tolerance is significantly improved by extending the C-terminal of HD-5 with Lys and then being modified with myristic acid, thereby breaking the restriction of salt-sensibility of conventional antimicrobial peptides. The variant can significantly promote release of inflammatory factors from macrophages and thus can be applied in manufacture of immunomodulatory agent.