Abstract: The present disclosure provides for methods, apparatuses, and non-transitory computer-readable storage media for load balancing traffic scenarios by a network device. In an embodiment, a method includes training a plurality of learning agents to load balance a respective plurality of traffic scenarios to obtain a plurality of control policies. The method further includes performing at least one clustering iteration. Each clustering iteration includes selecting a pair of control policies and merging the pair of control policies into a clustered control policy that replaces the pair of control policies. The method further includes determining to stop the performing of the at least one clustering iteration when a quantity of control policies remaining in the plurality of control policies meets a predetermined value. The method further includes deploying to each base station of a plurality of base stations a corresponding control policy from the plurality of control policies.

Abstract: Embodiments of the present disclosure provide interface conversion apparatuses, communication systems, and echo cancellation methods and apparatuses. The interface conversion apparatus includes a conversion component, a control component, an impedance matching component and a switch component; a first port of the conversion component connected to a two-wire communication system, a second port of the conversion component selectively connected to the control component or an input end of a four-wire communication system through the switch component, a third port of the conversion component connected to an output end of the four-wire communication system, a fourth port of the conversion component connected to an output end of the impedance matching component, and the impedance matching component connected to the control component.

Abstract: A tool-free unlocking device includes a frame with an opening; an unlatching member movably connected to the frame; and a locking member having a first section fixed on the frame and a second section extending from first section and corresponding to the opening. Thus, when the unlatching member is not pushed, the end surface of the second section of the locking member abuts to form a locked state, or when the unlatching member is pushed from the first section of the locking member to the second section of the locking member, the second section of the locking member will be pushed down to the opening of the frame to form an unlocked state.

Abstract: The present disclosure provides an image forming device, a control device, an authentication method, and a consumable, where the authentication method includes receiving first intimacy information sent by the image forming device, comparing the first intimacy information with second intimacy information to obtain a comparison result, and if the comparison result matches, sending a first verification result to the image forming device, where the first verification result is used to instruct the image forming device to determine whether to execute an authentication procedure that matches the first intimacy information.

Abstract: The present disclosure provides a control device, consumables, a host device, and an authentication method, where the control device includes a first acquisition unit, where the first acquisition unit is configured to acquire first authentication data on a communication bus, and the communication bus is configured for communication linkage between the host device and at least two chips; an authentication unit, which obtains second authentication data based on the first authentication data, where the second authentication data is used to determine total authentication data, and the total authentication data is used to determine whether there is a chip, of the at least two chips, that does not meet expectations.

Abstract: The present disclosure provides a communication method, a control device, a compensation signal generation control method and a device thereof, and a consumable. The communication method includes: detecting a target event on the communication bus, the communication bus being configured to be electrically connected to a first chip and at least one second chip, the target event including a compensation signal, and the compensation signal is used to indicate that some or all of the at least one second chip fail to generate a target event corresponding to the second chip on the communication bus as expected; determining whether the detected target event meets expectations of the first chip based on the compensation signal; and when it is determined that the detected target event meets the expectations of the first chip, generating a target event corresponding to the first chip on the communication bus.

Abstract: A method of forecasting a future load may include: obtaining source data sets and a target data set that have been collected from a plurality of source base stations and a target base station, respectively; among a plurality of source machine learning models, selecting at least one machine learn source model that has a traffic load prediction performance higher than that of a target machine learning model through a negative transfer analysis; obtaining model weights to be applied to the target machine learning model and the selected at least one source machine learning model via an attention neural network that is jointly trained with the target machine learning model and the selected source machine learning models; obtaining a load forecasting model for the target base station by combining the target machine learning model and the selected at least one source machine learning model according to the model weights; and predicting a future communication traffic load of the target base station based on the load

Abstract: Aspects of the invention include systems and methods configured to prevent masquerading service attacks. A non-limiting example computer-implemented method includes sending, from a first server in a cloud environment, a communication request comprising an application programming interface (API) key and a first server identifier to an identity and access management (IAM) server of the cloud environment. The API key can be uniquely assigned by the IAM server to a first component of the first server. The first server receives a credential that includes a token for the first component and sends the credential to a second server. The second server sends the credential, a second server identifier, and an identifier for a second component of the second server to the IAM server. The second server receives an acknowledgment from the IAM server and sends the acknowledgment to the first server.

Abstract: The present disclosure provides a recording material estimation method, an information processing apparatus and a consumable. The method includes sending outputted page quantity messages respectively corresponding to n job types and first consumption messages of the recording material respectively corresponding to the n job types to the image-forming apparatus, where the outputted page quantity messages respectively corresponding to the n job types and the first consumption messages of the recording material respectively corresponding to the n job types are configured to determine a total consumption message of the recording material in a consumable; n is an integer greater than 1; and single-job outputted page quantities respectively corresponding to the n job types are different.

Abstract: A target position determination of a single-slot collimating plate and a collimator assembly are disclosed. A first measurement signal is acquired based upon of the first instance of air scanning, when the single-slot collimating plate moves a predetermined distance from a starting position to a first position in a first direction of the Z axis. A second measurement signal is acquired based upon the second instance of air scanning, when the single-slot collimating plate moves a predetermined distance from the starting position to a second position in the direction opposite to the first direction. A composite measurement signal and a composite air calibration signal are determined based upon the first measurement signal and the second measurement signal. The composite measurement signal is calibrated using the composite air calibration signal. The target position of the single-slot collimating plate is determined based upon the calibrated composite measurement signal.

Abstract: A method performed by at least one processor of a network device in communication with a plurality of base stations, the method including: receiving historical data collected by one or more base stations from the plurality of base stations, the historical data indicating one or more of a power consumption, handover data, and quality of service (QOS); generating, from the historical data, training data comprising a plurality of cell states and a corresponding random action for each cell state; and training one or more neural network estimators based on the training data, where the one or more neural network estimators comprise one or more of a power consumption estimator, a QoS estimator, and a handover prediction estimator, and where each base station from the plurality of base stations is associated with a respective cell.

Abstract: Rapid and data-efficient training of an artificial intelligence (AI) algorithm are disclosed. Ground truth data are not available and a policy must be learned based on limited interactions with a system. A policy bank is used to explore different policies on a target system with shallow probing. A target policy is chosen by comparing a good policy from the shallow probing with a base target policy which has evolved over other learning experiences. The target policy then interacts with the target system and a replay buffer is built up. The base target policy is then updated using gradients found with respect to the transition experience stored in the replay buffer. The base target policy is quickly learned and is robust for application to new, unseen, systems.

Abstract: The present disclosure provides methods, apparatuses, systems, and computer-readable mediums for operating a target base station by an apparatus. A method includes collecting a plurality of trajectories corresponding to the target base station and a plurality of source base stations, clustering, using an unsupervised reinforcement learning model, the plurality of trajectories into a plurality of clusters including a target cluster, selecting, as a target trajectory, a selected trajectory from the target cluster that maximizes an energy-saving parameter of the target base station, and applying, to the target base station, an energy-saving control policy corresponding to the target trajectory. The target cluster corresponds to the target base station and at least one source base station from among the plurality of source base stations.

Abstract: A correction method for a scatter signal caused by a wedge filter includes: S10: performing an air scan by using CT equipment, and calculating a relative intensity Wair of a scatter signal caused by a wedge filter in the air scan according to an air scan result, S20: performing an object scan on a plurality of experimental objects by using the CT equipment, and calculating theoretical scatter signal intensities Wtheo of the experimental objects in the object scan in combination with the result of S10, S30: fitting Wtheo of the experimental objects in the object scan and scatter signal intensity estimations Wact of the experimental objects in the object scan, and S40: correcting the scan results according to a difference between a scatter signal intensity estimation Wact of an actual object in the object scan and a theoretical scatter signal intensity Wtheo of the actual object in the object scan.

Abstract: The present invention provides engineered immune cells comprising an anti-CD2 protein expression blocker (PEBL) and an anti-CD2 chimeric antigen receptor (CAR). In some embodiments, such engineered immune cells lack surface expression CD2. Also, provided herein are methods of using such cells in cancer therapies.

Abstract: A method for determining a longitudinal position of a combined phantom, a computer readable storage medium, and a CT device. The method includes: scanning the combined phantom to obtain a topogram thereof. The combined phantom is fixed to a table top, protrudes beyond the table top, is axially parallel to the longitudinal direction, and includes a plurality of phantoms, one of which is a slice phantom. The method further includes identifying the plurality of phantoms on the topogram, and using an axial center of the slice phantom as the longitudinal position of the combined phantom. The longitudinal position is determined by using the topogram of the combined phantom, and a phantom position is aligned automatically.

Abstract: A method for predicting a scattered signal of an X-ray for an examination object includes: scanning each phantom in a scanning manner in which a scattering degree of each phantom in a plurality of phantoms is less than a reference scattering degree, so as to obtain first projection data of each phantom; scanning each phantom in a scanning manner in which the scattering degree of each phantom in the plurality of phantoms is equal to the reference scattering degree, so as to obtain second projection data of each phantom; obtaining a real scattered signal of each phantom by subtracting the first projection data of the phantom from the second projection data of the phantom; training a learning model based on the second projection data of each phantom and the real scattered signal of each phantom to obtain a trained learning model; and applying the trained learning model to projection data of the X-ray for the examination object to predict the scattered signal of the projection data of the X-ray.

Abstract: A switch for a track of a maglev train is provided. The switch comprises a front main track beam and a rear switching track beam. The rear switching track beam comprises a central fixed track beam and a middle mobile track beam; the front main track beam can switch between a straight track and a bent track by bending; the central fixed track beam is a fixed track beam; and the middle mobile track beam can move parallelly between the straight track and the bent track. The imposed deformation length and driving weight of the switch is minimised by providing the middle mobile track beam, and the required track switching time is shortened.

Abstract: A method for vertically positioning an examinee may include obtaining a position of an examination table after placement of an examinee is completed; determining a measurement range that is corresponding to a to-be-examined organ and that is on the examination table; during movement of the examination table toward a scanner gantry, causing the sensor to start to measure a distance to the examinee and obtaining a height of the examination table while the sensor performs measurement; calculating an organ center height (e.g., average height) based on a measurement result of the sensor, the height of the sensor, and the height of the examination table; and adjusting the height of the examination table based on the organ center height, so that the adjusted organ center height is equal to the isocenter height of the scanner gantry to minimize a radiation dose and improve CT imaging quality.

Abstract: Transfer learning based on prediction determines a similarity between a source base station and a target base station. Importance of parameters is determined and training is adjusted to respect the importance of parameters. A lack of historical data is compensated by selecting a base station as source base station which has a larger amount of historical data.