Abstract: Provided are a sampling probe and a sampling probe automatic separation device, and a use method thereof. The sampling probe comprises a probe tail area (1) and a probe sampling area (2) connected to the top of the probe tail area (1). The probe sampling area (2) comprises a two-piece mold housing component (3) and a sample (4) disposed inside the two-piece mold housing component (3). The two-piece mold housing component (3) is wound and fixed by means of an adhesive tape capable of burning and melting. The automatic separation device comprises a cutting device (5) for cutting a sampling probe, and an inclined bottom plate. The front end of the inclined bottom plate is placed close to the cutting device (5). The inclined bottom plate gradually inclines downwards from the front end to the rear end.

Abstract: Systems and methods for providing assistance with human motion, including hip and ankle motion, are disclosed. Sensor feedback is used to determine an appropriate profile for actuating a wearable robotic system to deliver desired joint motion assistance. Variations in user kinetics and kinematics, as well as construction, materials, and fit of the wearable robotic system, are considered in order to provide assistance tailored to the user and current activity.

Abstract: A wearable system includes an exosuit or exoskeleton; an actuator(s) configured to generate force in the exosuit or exoskeleton; a sensor(s) configured to measure information for evaluating an objective function associated with providing physical assistance to the wearer, an interaction between the wearer and the exosuit or exoskeleton, and/or an operation of the exosuit or exoskeleton; and a controller(s) configured to: actuate the actuator(s) according to an actuation profile(s), evaluate the objective function based on the information measured by the at least one sensor to determine a resulting change in the objective function, adjust a parameter(s) of the actuation profile(s) based on the resulting change in the objective function, and continue to actuate, evaluate, and adjust to optimize the actuation parameter(s) for maximizing or minimizing the objective function.

Abstract: A method, a system, and a computer program product for detecting fake news based on a multi-task learning model. In an embodiment, a multi-task learning model is used to perform joint training on authenticity detection and topic classification of news to be detected, and authenticity of the news to be detected and a topic of the news to be detected are returned simultaneously. Through the implementation of the embodiment of the present invention, the authenticity of the news and the topic of the news can be detected simultaneously, and the accuracy of fake news detection and topic classification is improved.

Abstract: In at least one aspect, there is provided a system for generating force about one or more joints including a soft exosuit having a plurality of anchor elements and at least one connection element disposed between the plurality of anchor elements. The system also includes at least one sensor to determine a force the at least one connection element or at least one of the plurality of anchor elements and to output signals relating to the force, at least one actuator configured to change a tension in the soft exosuit and at least one controller configured to receive the signals output from the at least one sensor and actuate the at least one actuator responsive to the received signals.

Abstract: Systems and methods for providing assistance with human motion, including hip and ankle motion, are disclosed. Sensor feedback is used to determine an appropriate profile for actuating a wearable robotic system to deliver desired joint motion assistance. Variations in user kinetics and kinematics, as well as construction, materials, and fit of the wearable robotic system, are considered in order to provide assistance tailored to the user and current activity.

Abstract: The present disclosure provides a multimodal fine-grained mixing method and system, a device, and a storage medium. The method includes: extracting data features from multimodal graphic and textual data, and obtaining each composition of the data features, the data features including a visual regional feature and a text word feature; performing fine-grained classification on modal information of each composition of the data features, to obtain classification results; and performing inter-modal and intra-modal information fusion on each composition according to the classification results, to obtain a fusion feature. The method enables a multimodal model to utilize a complementary characteristic of the multimodal data, with no influence by irrelevant information.

Abstract: The present disclosure provides an anomaly detection method and apparatus for multi-type data. According to the anomaly detection method for multi-type data, an adversarial learning network is trained, so that a generator in the adversarial learning network fits a distribution of a normal training sample and learns a potential mode of the normal training sample, to obtain an updated adversarial learning network, an anomaly evaluation function in the updated adversarial learning network is constructed according to a reconstruction error generated during training, and the updated adversarial learning network is constructed into an anomaly detection model, to perform anomaly detection on inputted detection data by the anomaly detection model, to obtain an anomaly detection result. A mode classifier is introduced to effectively resolve difficult anomaly detection when a distribution of detected data is similar to that of normal data, further improving the accuracy of anomaly detection.

Abstract: The present disclosure provides an anomaly detection method and apparatus for multi-type data. According to the anomaly detection method for multi-type data, an adversarial learning network is trained, so that a generator in the adversarial learning network fits a distribution of a normal training sample and learns a potential mode of the normal training sample, to obtain an updated adversarial learning network, an anomaly evaluation function in the updated adversarial learning network is constructed according to a reconstruction error generated during training, and the updated adversarial learning network is constructed into an anomaly detection model, to perform anomaly detection on inputted detection data by the anomaly detection model, to obtain an anomaly detection result. A mode classifier is introduced to effectively resolve difficult anomaly detection when a distribution of detected data is similar to that of normal data, further improving the accuracy of anomaly detection.

Abstract: The present disclosure provides a multimodal fine-grained mixing method and system, a device, and a storage medium. The method includes: extracting data features from multimodal graphic and textual data, and obtaining each composition of the data features, the data features including a visual regional feature and a text word feature; performing fine-grained classification on modal information of each composition of the data features, to obtain classification results; and performing inter-modal and intra-modal information fusion on each composition according to the classification results, to obtain a fusion feature. The method enables a multimodal model to utilize a complementary characteristic of the multimodal data, with no influence by irrelevant information.

Abstract: An ankle-assisted exoskeleton device, comprising: an actuator (100), which is configured to be worn behind the waist of a user; lower limb supports (200); and pull lines (300), which are configured to controllably apply a pulling force on the lower limb supports (200) under the drive of the actuator (100). The lower limb supports (200) each comprise: a calf ring (210) configured to surround the calf of the user; a connecting rod assembly (220) that is attached to the calf ring (210) and that extends downward; and a foot support (230) that is hinged to the lower end of the connecting rod assembly (220) and that is connected to a pull line (300); the foot supports (230) are each configured to apply an upward pulling force on the sole of the foot of the user so as to drive the foot of the user to rotate about the ankle joint.

Abstract: In one aspect, a motion control system includes an actuator having an actuation member, the actuation member having a proximal end attached to the actuator on a first side of a joint and a distal end attached to an anchor element attachment point on a second side of the joint. A first sensor is configured to output signals defining a gait cycle and a second sensor is configured to output signals representing a tensile force in the at least one actuation member.

Abstract: Wearable devices protect against musculoskeletal injuries and enhance performance. Systems and methods provide wearable devices to assist with human motion during physical activities, such as performing movements (e.g., lifting) and holding static poses (e.g., crouching, or holding a tool while working overhead). Materials, constructions, and system architectures allow the wearable devices to be worn over, under, or integrated into clothing for extended periods of time to improve performance or reduce risk of injury. Sensors may be included in the wearable devices to detect various activities, motions, and postures of the wearer, and various active and semi-active controls approaches may leverage sensor information to provide tailored assistance to individual users. Various controls optimization techniques ensure the wearable devices operate at peak efficiency.

Abstract: The present invention provides a system for enabling synchronous sheet transfer to follow laser cutting dynamically. A laser-cutting method for the system for enabling synchronous sheet transfer to follow laser cutting dynamically is also provided. With the system and method of the present invention, dynamic following of sets of magnetic belts during the cutting procedure is implemented, thereby accelerating the processing pace, and further improving the throughput.

Abstract: A motion control system includes an actuator having an actuation member, the actuation member having a proximal end attached to the actuator on a first side of a joint and a distal end attached to an anchor element attachment point on a second side of the joint. A first sensor is configured to output signals defining a gait cycle and a second sensor is configured to output signals representing a tensile force in the at least one actuation member. A controller receives the output signals from the sensors and actuates the actuator, during a first portion of the gait cycle, to apply a force greater than a predetermined threshold tensile force to the anchor element attachment point via the actuation member to generate a beneficial moment about the joint and to automatically actuate the actuator.

Abstract: A method, a system, and a computer program product for detecting fake news based on a multi-task learning model. In an embodiment, a multi-task learning model is used to perform joint training on authenticity detection and topic classification of news to be detected, and authenticity of the news to be detected and a topic of the news to be detected are returned simultaneously. Through the implementation of the embodiment of the present invention, the authenticity of the news and the topic of the news can be detected simultaneously, and the accuracy of fake news detection and topic classification is improved.

Abstract: A wearable system comprising an exosuit or exoskeleton; an actuator(s) configured to generate force in the exosuit or exoskeleton; a sensor(s) configured to measure information for evaluating an objective function associated with providing physical assistance to the wearer, an interaction between the wearer and the exosuit or exoskeleton, and/or an operation of the exosuit or exoskeleton; and a controller(s) configured to: actuate the actuator(s) according to an actuation profile(s), evaluate the objective function based on the information measured by the at least one sensor to determine a resulting change in the objective function, adjust a parameter(s) of the actuation profile(s) based on the resulting change in the objective function, and continue to actuate, evaluate, and adjust to optimize the actuation parameter(s) for maximizing or minimizing the objective function.

Abstract: Provided are a method and a system for enabling magnetic belts to follow laser-cutting dynamically to achieve flexible designs and facilitating processing.

Abstract: Systems and methods for providing assistance with human motion, including hip and ankle motion, are disclosed. Sensor feedback is used to determine an appropriate profile for actuating a wearable robotic system to deliver desired joint motion assistance. Variations in user kinetics and kinematics, as well as construction, materials, and fit of the wearable robotic system, are considered in order to provide assistance tailored to the user and current activity.

Abstract: Systems and methods for providing assistance with human motion, including hip and ankle motion, are disclosed. Sensor feedback is used to determine an appropriate profile for actuating a wearable robotic system to deliver desired joint motion assistance. Variations in user kinetics and kinematics, as well as construction, materials, and fit of the wearable robotic system, are considered in order to provide assistance tailored to the user and current activity.