Abstract: A method for making a carbon material for an anode of a lithium-ion secondary battery includes a sequence of: a) heating a heavy hydrocarbon oil to obtain a green coke, b) a heating the green coke to form a carbon-containing material, c) grinding the carbon-containing material into a powder, and collecting a portion of the powder, d) heating the portion of the powder to obtain a carbonaceous powder, and e) adding pitch to the carbonaceous powder and heating the pitch-contained carbonaceous powder. A lithium-ion secondary battery, which includes the anode having the carbon material, is also disclosed.

Abstract: A detection device includes a frame, a transport mechanism, detection mechanisms, and a grasping mechanism. The transport mechanism includes a feeding line, a first flow line, and a second flow line arranged in parallel on the frame. The detection mechanisms are arranged on the frame and located on two sides of the transport mechanism. The grasping mechanism is arranged on the frame and used to transport workpieces on the feeding line to the detection mechanisms, transport qualified workpieces to the first flow line, and transport unqualified workpieces to the second flow line.

Abstract: A semiconductor device includes a first semiconductor die and a second semiconductor die connected to the first semiconductor die. Each of the first semiconductor die and the second semiconductor die includes a substrate, a conductive bump formed on the substrate and a conductive contact formed on the conductive bump. The conductive contact has an outer lateral sidewall, there is an inner acute angle included between the outer lateral sidewall and the substrate is smaller than 85°, and the conductive contact of the first semiconductor die is connected opposite to the conductive contact of the second semiconductor die.

Abstract: At least one computer processor can replace visual words of an unsupervised machine learning classification model with visual objects of an image. At least two co-occurring single visual objects adjacent to each other in pixels of the image can be combined to obtain a compound visual object. The unsupervised machine learning classification model can be augmented to model the image as a mixture of subjects, where each subject is represented through placements of the visual objects in a mixture of concentric spheres centering on a mixture of intersections on a mixture of horizontal layers. At least one processor can learn latent relationships between the placements of the visual objects in a three-dimensional space depicted in the image and image semantics. Learning the latent relationships trains the unsupervised machine learning classification model to perform image subject classification through the placements of the visual objects in a new image.

Abstract: A transformable Unmanned Aerial Vehicle (UAV), can operate as a coplanar hexacopter or as an omnidirectional multirotor based on different operation modes. The UAV has 100% force efficiency for launching or landing tasks in the coplanar mode. In the omnidirectional mode, the UAV is fully actuated in the air for agile mobility in six degrees of freedom (DOFs). Models and control design are developed to characterize the motion of the transformable UAV. Simulation results are presented to validate the transformable UAV design and the enhanced UAV performance, compared with a fixed structure.

Abstract: Embodiments of the present invention relate to methods, systems, and computer program products for file management in a distributed file cache system. In some embodiments, a method is disclosed. According to the method, responsive to determining that at least one client node is obtaining a file of a first version stored at a storage node, one or more processors generate contact information indicating that the file of the first version is accessible from the storage node and the at least one client node and recorded the contact information into a distributed hash table. The storage node and the at least one client node are included in a plurality of nodes associated with the distributed hash table. Further, one or more processors generate first version information indicating that the file is of the first version and record the first version information into a blockchain associated with the plurality of nodes.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to label incoming phone calls. A method to label an incoming phone call includes detecting the incoming phone call associated with a caller identifier (ID), determining a location associated with the call, and analyzing a call header of the call to determine one or more call characteristics. The method further includes determining, based on the location and the call characteristics, if the location is spoofed and determining, based on the caller ID and the call characteristics, if an access network associated with the call is spoofed. The method further includes applying a trained machine learning model to determine whether the call is a robocall. The method further includes assigning a label to the call that indicates whether the call is a spoofed call or is the robocall and sending the label to a callee device associated with the call.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to label incoming phone calls. A method to label an incoming phone call includes detecting the incoming phone call associated with a caller identifier (ID), determining a location associated with the call, and analyzing a call header of the call to determine one or more call characteristics. The method further includes determining, based on the location and the call characteristics, if the location is spoofed and determining, based on the caller ID and the call characteristics, if an access network associated with the call is spoofed. The method further includes applying a trained machine learning model to determine whether the call is a robocall. The method further includes assigning a label to the call that indicates whether the call is a spoofed call or is the robocall and sending the label to a callee device associated with the call.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to label incoming phone calls. A method to label an incoming phone call includes detecting the incoming phone call associated with a caller identifier (ID), determining a location associated with the call, and analyzing a call header of the call to determine one or more call characteristics. The method further includes determining, based on the location and the call characteristics, if the location is spoofed and determining, based on the caller ID and the call characteristics, if an access network associated with the call is spoofed. The method further includes applying a trained machine learning model to determine whether the call is a robocall. The method further includes assigning a label to the call that indicates whether the call is a spoofed call or is the robocall and sending the label to a callee device associated with the call.

Abstract: A mobile device receives an invitation to commence a media session. The invitation may be from a legitimate caller or from a spoofing caller. The mobile device checks parameters using templates to evaluate a consistency of the invitation with respect to a database in the mobile device. The templates include session protocol, network topology, routing, and social templates. Specific template data includes standardized protocol parameters, values from a database of the mobile device and phonebook entries of the mobile device. Examples of the parameters include capabilities, preconditions, vendor equipment identifiers, a hop counter value and originating network information. The originating network information may be obtained from the database by first querying an on-line database to determine a network identifier associated with caller identification information in the invitation.

Abstract: Methods and apparatus are disclosed to measure mobile broadband market share. A disclosed example method involves invoking an adapter query on a computing device in response to detecting a request for Internet services, identifying a plurality of available adapters on the computing device based on the adapter query, and determining whether the computing device includes a mobile broadband service provider based on which one of the plurality of available adapters is servicing the request for Internet services.

Abstract: A system is described including a mobile device that receives a user request to initiate a phone call to an entity associated with an interactive-voice-response (IVR) interface of an IVR system. The system obtains information about a hierarchy of options associated with the interactive-voice-response system and causes a graphical user interface (GUI) for navigating the hierarchy of options associated with the interactive-voice-response system to be displayed at the mobile device. The system converts user inputs associated with the GUI to inputs recognized by the IVR system and the mobile device outputs, to the entity, the converted inputs and other information required by the entity to perform an operation based on the inputs. In response, the system updates the GUI based on additional information received from the IVR system.

Abstract: Embodiments of the present invention relate to methods, systems, and computer program products for file management in a distributed file cache system. In some embodiments, a method is disclosed. According to the method, responsive to determining that at least one client node is obtaining a file of a first version stored at a storage node, one or more processors generate contact information indicating that the file of the first version is accessible from the storage node and the at least one client node and recorded the contact information into a distributed hash table. The storage node and the at least one client node are included in a plurality of nodes associated with the distributed hash table. Further, one or more processors generate first version information indicating that the file is of the first version and record the first version information into a blockchain associated with the plurality of nodes.

Abstract: Example methods and apparatus to measure market statistics are disclosed. A disclosed example method includes identifying, by executing an instruction with a processor, a household including self reported data stored in a data source, retrieving, by executing an instruction with the processor, an Internet protocol (IP) address from the household, identifying, by executing an instruction with the processor, a hostname label based on a reverse resolve of the IP address, determining whether the hostname label matches the self reported data, with the processor, and when the hostname label matches the self reported data, correcting, by executing an instruction with the processor, an error metric of the data source by adjusting a weight value associated with the self reported data.

Abstract: A computer-implemented method according to one embodiment includes creating, at a block storage system separate from a host system, a structural representation of image layer data utilized at the host system, mapping the structural representation created at the block storage system to the image layer data utilized at the host system, and performing one or more operations on the image layer data, utilizing the structural representation created at the block storage system.

Abstract: Example methods and apparatus to measure market statistics are disclosed. A disclosed example method includes identifying, by executing an instruction with a processor, a household including self reported data stored in a data source, retrieving, by executing an instruction with the processor, an Internet protocol (IP) address from the household, identifying, by executing an instruction with the processor, a hostname label based on a reverse resolve of the IP address, determining whether the hostname label matches the self reported data, with the processor, and when the hostname label matches the self reported data, correcting, by executing an instruction with the processor, an error metric of the data source by adjusting a weight value associated with the self reported data.

Abstract: A sputtering target includes an indium cerium zinc oxide represented by In2CexZnO4+2x, wherein x=0.5˜2. A relative density of the sputtering target is larger than or equal to 90%. A bulk resistance of the sputtering target in a range from about 10?2 ?cm to about 10 ?cm. A weight percentage of crystalline In2CexZnO4+2x in the sputtering target is larger than 80%.

Abstract: A computer-implemented method according to one embodiment includes creating, at a block storage system separate from a host system, a structural representation of image layer data utilized at the host system, mapping the structural representation created at the block storage system to the image layer data utilized at the host system, and performing one or more operations on the image layer data, utilizing the structural representation created at the block storage system.

Abstract: A biosensor device includes a substrate, a sensing transistor, an isolation layer and a main interface layer. The sensing transistor is formed on the substrate and including a bottom gate structure, a top gate structure and a semiconductor layer disposed between the bottom gate structure and the top gate structure. The bottom gate structure is electrically connected to the top gate structure. The isolation layer is formed on the sensing transistor for covering the sensing transistor, and includes a first opening. The main interface layer is disposed in the first opening for receiving biomolecules to be sensed. The main interface layer is electrically connected to the top gate structure.

Abstract: Methods and apparatus are disclosed to measure mobile broadband market share. A disclosed example method involves invoking an adapter query on a computing device in response to detecting a request for Internet services, identifying a plurality of available adapters on the computing device based on the adapter query, and determining whether the computing device includes a mobile broadband service provider based on which one of the plurality of available adapters is servicing the request for Internet services.