Abstract: A method for ontology matching between a source and a target filters out non-matching pairs of the source and the target, to generate a dataset of possible matches. In a first loop, based on prediction results and uncertainty from a set of labeling functions of a labeling function (LF) committee, a data point is selected from the dataset and an annotation label is obtained for the data point. Additionally, labeling functions of the LF committee are selected and weighted based on prediction results against the dataset provided with annotation labels, and a weight of each of the selected LFs is adjusted to produce the prediction results and uncertainty of yet unlabeled data points of the dataset based on the data points of the dataset having already annotated a label. A second learning loop is executed that creates tuned labeling functions and augments the LF committee with the tuned labeling functions.

Abstract: The invention provides a vehicle AI computing system (VACS) that supports autonomous driving through an Onboard Unit (OBU) for vehicle-based computing and distributed computing based on vehicle road-cloud. The vehicle-based computing can effectively complete various computational tasks by using onboard computing resources. The distributed computing allows the vehicle to work in collaboration with roadside units (RSUs) and/or the cloud to effectively complete various computational tasks. The VACS features an OBU with a sensing module, a communication module, and a data processing module that integrates data from vehicle sensors, RSUs, and the cloud. The OBU also includes a vehicle control module that helps control the vehicle based on the data of RSU and cloud. The VACS leverages high performance computation resources to implement end to end driving tasks including sensing, prediction, planning and decision making, and control.

Abstract: A control method for a multi-split air conditioning system capable of simultaneous cooling and heating to solve the problem that uneven cooling and heating occurs when running an existing multi-split air conditioning system. The method includes calculating the cooling or heating temperature effect deviation of each indoor unit on the basis of the indoor ambient temperature and set temperature of the environment where each indoor unit is located; calculating the total cooling effect deviation and total heating effect deviation of an multi-split air conditioning system on the basis of the horsepower of all the indoor units and the corresponding cooling temperature deviation or heating temperature deviation; and selectively adjusting the degrees of opening of valve boxes on the basis of the total cooling effect deviation and the total heating effect deviation. The method ensures balanced distribution of refrigerant, balanced running effects the units, and avoids uneven heating and cooling.

Abstract: A semiconductor device includes a magnetic tunneling junction (MTJ) on a substrate, a top electrode on the MTJ, a trapping layer in the top electrode for trapping hydrogen, a first inter-metal dielectric (IMD) layer on the MTJ, and a first metal interconnection in the first IMD layer and on the top electrode. Preferably, a top surface of the trapping layer is lower than a bottom surface of the first IMD layer.

Abstract: The invention provides an autonomous vehicle (AV) system with an artificial intelligence (AI) system for automated vehicle control and traffic operations. This AI system comprises a computation component configured to provide sensing, behavior prediction and management, decision making, and vehicle control for the vehicle. This AI system is configured to receive local knowledge, information, data, and models from a roadside unit (RSU) or a cloud to improve performance and efficiency of the vehicle. The AI system is configured to train models with heuristic parameters obtained from a local traffic control center/traffic control unit (TCC/TCU) or the cloud to provide an improved model. The AI system is configured to provide intelligence coordination to distribute intelligence among vehicles, RSUs and cloud. The system also provides localized self-evolving artificial intelligence.

Abstract: This disclosure relates to polishing compositions that include (1) at least one abrasive; (2) at least one organic acid or a salt thereof; (3) at least one first amine compound, the at least one first amine compound including an alkylamine having a 6-24 carbon alkyl chain; (4) at least one second amine compound containing at least two nitrogen atoms, the second amine compound being different from the first amine compound; and (5) an aqueous solvent.

Abstract: A fastening assembly comprises: a pressing plate, a base and a rotating shaft; wherein the pressing plate is rotatively connected to the base by the rotating shaft, the pressing plate and the base are enclosed to form a passage to accommodate the first connecting strap; and a press-fit protrusion is provided on the pressing plate to press the first connecting strap in the passage; a first snap-fit part is provided on the pressing plate, and a second snap-fit part is provided on the base, fit into each other to form the snap-fit connection.

Abstract: A data recovery method, an apparatus, and a solid state drive are provided. The method includes: copying, after an abnormality occurs in the solid state drive, memory data of a first memory space to a solidified area of a second memory space, and then writing address information of the solidified area to a third memory space; recovering, after a controller is reset for the first time, the memory data of the first memory space according to the address information of the solidified area; flushing data of the second memory space into a flash memory space according to the recovered memory data of the first memory space; and performing, after the controller is reset for the second time, data recovery on the solid state drive according to memory data of the flash memory space.

Abstract: An extraction cleaner may include a base, an upright body pivotally coupled to the base, a supply tank removably coupled to the upright body and a recovery tank removably coupled to the upright body. The base may include a non-removable door and a removable suction nozzle. At least one fluid dispensing nozzle may be provided on the door. The door may be pivotally coupled to the base for providing access to an agitator. The cleaner may include and auto-spray configuration. The cleaner may include a support on the upright portion for the recovery tank. The cleaner may include an additive tank received in a receptacle of the supply tank. The recovery tank may include a float and/or an airflow management configuration. The cleaner may include a cleaning tool and a suction changeover valve and/or a fluid changeover valve. The cleaner may include a mixing valve for supplying fluid to a fluid changeover valve.

Abstract: An optical fiber capillary tube power stripper includes a capillary tube having an elongated body including an outer surface and an inner surface that surrounds an elongated optical fiber. The capillary tube (a) defines one or more spaces or gaps in the elongated body between first and second ends of the capillary tube; or (b) includes one or more lateral openings in the elongated body between first and second ends of the capillary tube; or (c) includes the outer surface defining one or more ridges and one or more valleys or grooves that surround the outer surface of the body between first and second ends of the capillary tube.

Abstract: An optical fiber cladding optical filter includes an elongated capillary tube including an inner surface positioned surrounding an elongated optical fiber proximate or adjacent an exterior surface of the optical fiber and an outer surface positioned spaced from the exterior surface of the optical fiber. A grating formed on the outer surface of the elongated capillary tube aids in suppressing evanescent laser light that exits the optical fiber transverse to a longitudinal axis of the optical fiber. The elongated optical fiber and surrounding elongated capillary tube can include one or more curves along a length thereof to aid in the removal of one or more higher order laser modes as evanescent laser light that exits the optical fiber. The one or more curves can be received in a container to prevent or avoid evanescent laser exiting the optical fiber from propagating into an ambient environment.

Abstract: Provided herein is technology relating to intelligent transportation systems and automated vehicles and particularly, but not exclusively, to function allocation systems and methods for a connected automated vehicle highway system that provides transportation management and operations and vehicle control for connected and automated vehicles.

Abstract: A warpage-reducing semiconductor structure includes a wafer. The wafer includes a front side and a back side. Numerous semiconductor elements are disposed at the front side. A silicon oxide layer is disposed at the back side. A UV-transparent silicon nitride layer covers and contacts the silicon oxide layer. The refractive index of the UV-transparent silicon nitride layer is between 1.55 and 2.10.

Abstract: The present application provides a heat dissipation system and method for electronic devices. The system includes a heat dissipation unit attached to electronic component of an electronic device, a temperature and humidity sensor, a cooling unit and a controller. The controller is configured to obtain the dew point temperature of the space in which the cooling unit is disposed and to determine a coolant flow rate based on the dew point and the coolant temperature. In the event where the difference between the coolant temperature and the dew point is greater than a threshold, the heat dissipation unit receives the coolant under a first flow rate. In the event where the difference between the coolant temperature and the dew point is equal to or less than the threshold, the heat dissipation unit receives the coolant under a second flow rate lower than the first flow rate.

Abstract: A method for selectively removing a tungsten-including layer includes: forming a tungsten-including layer which has a first portion and a second portion; performing a treatment on a surface region of the first portion of the tungsten-including layer so as to convert tungsten in the surface region into tungsten oxide; and partially removing the tungsten-including layer using an etchant which has a higher etching selectivity to tungsten than tungsten oxide such that the second portion of the tungsten-including layer is fully removed, and the first portion of the tungsten-including layer, having the tungsten oxide in the surface region, is at least partially retained.

Abstract: Provided is an electrophoretic coating solution, comprising 100 parts by weight of microcapsules modified with an olefinic aldehyde compound; 1 to 20 parts by weight of a resin monomer and/or an unsaturated resin; and 50 to 100 parts by weight of a solvent. Also provided are an electrophoretic display panel and a display device. In this solution, the electrophoretic coating solution has good dispersibility, and the yield of the electrophoretic display panel is improved.

Abstract: A computer-implemented method of enforcing secondary data usage control includes providing, via a policy manager, secondary data usage policies of a data owner of original data. The method provides, via a service orchestrator, a description of a service intended to be applied by a data consumer to input data contained in the original data, the service including one or more data processing functions. The method matches, by a secondary usage control policy enforcement point (SUC PEP) component, the secondary data usage policies provided via the policy manager with the input data or specific classes of the input data and/or with data processing functions of the service provided via the service orchestrator. The method applies, by the SUC PEP component, the matched secondary usage policies on the secondary data.

Abstract: A method for using knowledge infusion for robust and transferable machine learning models includes receiving a plurality of adaptive and programmable knowledge functions comprising a plurality of strong functions and a plurality of weak functions. A knowledge model is generated based on the plurality of strong functions and the plurality of weak functions. A machine learning model is trained based on the generated knowledge model.