Abstract: Described is system for feature transformation of neural activity using sparse and low-rank (SLR) decomposition. A set of neural activity signals associated with different stimuli are obtained, and a neural feature is extracted or each stimuli from the set of neural activity signals using SLR decomposition. The neural feature is then used to generate a classification of the stimuli. The neural activity signals may include functional magnetic resonance imaging (fMRI) signals, fMRI blood-oxygen-level dependent (BOLD) signals, electroencephalography (EEG) signals, functional near-infrared spectroscopy (fNIRS) signals, or magnetoencephalography (MEG) signals. The system according to the principles of the present invention will he an important component of any neural activity based classification system.

Abstract: Described is a system for predicting temporal evolution of contagions on multilayer networks. The system determines a functional epidemic threshold for disappearance of a contagion on a multilayer network model according to a score value s=??/?, where ? corresponds to an adjacency matrix of the first layer of the multilayer network model, ? represents a spread rate of the contagion, and ? represents a recovery rate. A prediction of future behavior of the contagion on the multilayer network model using the functional epidemic threshold is output and utilized to inform decisions regarding connectivity within a multilayer network in order to prevent spread of the contagion on a multilayer network.

Abstract: A Static Random Access Memory (SRAM) cell includes a write port including a first inverter including a first pull-up transistor and a first pull-down transistor, and a second inverter including a second pull-up transistor and a second pull-down transistor and cross-coupled with the first inverter; and a read port including a read pass-gate transistor and a read pull-down transistor serially connected to each. A first doped concentration of impurities doped in channel regions of the second pull-down transistor and the read pull-down transistor is greater than a second doped concentration of the impurities doped in a channel region of the first pull-down transistor, or the impurities are doped in the channel regions of the second pull-down transistor and the read pull-down transistor and are not doped in the channel region of the first pull-down transistor.

Abstract: An artificial turf simulating natural grass, including: a base fabric, artificial grass yarns tufting on the base fabric and a latex backing on the back of the base fabric. The artificial grass yarns have at least two different forms including a straight form and a curly form, and the straight artificial grass yarns have at least two different colors. Alternatively, the artificial grass yarns have at least a straight form and a curly form tuft on a base fabric and the straight artificial grass yarns are provided with at least two different colors, such that the appearance of the formed artificial turf has a better natural grass simulation effect, and combinations can be made according to specific functional requirements of the application of the artificial turf, thus improving applicability of the artificial turf.

Abstract: An apparatus for a semiconductor fabrication facility (FAB) is provided. In one embodiment, the apparatus includes a maintenance tool and a transporting tool configured to transport at least one customized. The maintenance tool includes a first track at a first horizontal plane, at least one maintenance crane movably mounted on the first track, and a plurality of first sensors on the first track. The first sensors are configured to define at least a danger zone and to detect a location of the maintenance crane. The transporting tool includes a second track at a second horizontal plane, at least one overhead hoisting transporting (OHT) vehicle movably mounted on the second track, and at least one second sensor on the OHT vehicle. The second horizontal plane is different from the first horizontal planes. The first horizontal plane and the second horizontal plane at least partially overlap each other from a plane view.

Abstract: Systems and methods according to one or more embodiments are provided for mapping and registration of synthetic aperture raw radar data to aid in SAR-based navigation. In one example, a SAR-based navigation system includes a memory including executable instructions and a processor adapted to receive phase history data associated with observation views of a scene. The processor further converts the received phase history data associated with the observation views to a range profile of the scene. The range profile is compared to a range profile template of the scene to estimate a geometric transformation of the scene encoded in the received phase history data with respect to a reference template.

Abstract: A method for creating a vacuum in a load lock chamber is provided. The method includes building an air-tight environment in the load lock chamber. The method further includes reducing the pressure in a gas tank to a predetermined vacuum pressure. The method also includes enabling an exchange of gas between the load lock chamber and the gas tank when the pressure in the gas tank is at the predetermined vacuum pressure so as to reduce the pressure in the load lock chamber to an adjusted vacuum pressure.

Abstract: Positioning devices and positioning methods are provided. The positioning device includes a laser source and an optical assembly. The optical assembly is configured to direct a laser beam projected from the laser source toward a floor and a ceiling of a semiconductor fabrication facility to generate a first laser line on the floor and a second laser line on the ceiling. The first laser line and the second laser line are parallel to and aligned with each other when viewed in a direction perpendicular to the floor and the ceiling. Accordingly, the first laser line and the second laser line can be used to align a semiconductor tool and an overhead hoist transport system in the semiconductor fabrication facility.

Abstract: Described is a system for multiscale monitoring. During operation, the system receives surveillance data of a scene having a plurality of zones. The surveillance data includes an object flow tensor V indicating a number of objects flowing from one zone to another zone at time t and an object communication tensor C indicating a number of communications sending from one zone to another zone at time t. The system then determines a cluster membership of the plurality of zones. Dependency links between communications and flows are then determined. At least one cluster of one or more zones is designated as a region of interest based on the dependency links, which allows the system to control a device based on the designated region(s) of interest.

Abstract: Disclosed are a burner assembly and a gas stove. The burner assembly includes a burner, a gas distribution disk mounted on the burner, and a flexible metal seal ring located between the burner and the gas distribution disk, and the bottom of the gas distribution disk is provided with a first fitting surface, the top of the burner is provided with a second fitting surface, the flexible metal seal ring is provided with a first surface and a second surface opposite to the first surface, the first surface is in seal-fit with the first fitting surface, and the second surface is in seal-fit with the second fitting surface of the burner. The gas stove comprises a panel, a bottom shell and the burner assembly. The burner assembly can prevent gas leakage during operation of the gas stove, thereby improving the safety of the gas stove.

Abstract: A virtual reality (VR) system includes a VR display device, a first VR controller, a mobile device, and a VR processing device. The VR display device is configured to display a VR environment corresponding to a position and rotating angles of the VR display device. The mobile device is attached to the first VR controller. The VR processing device is configured for acquiring a position and rotating angles of the first VR controller; and transmitting the position and the rotating angles of the first VR controller to the mobile device via a network, so as to allow the mobile device to operably display a VR object of the VR environment corresponding to the position and the rotating angles of the first VR controller.

Abstract: Described is a system for inducing a desired behavioral effect using an electrical current stimulation. A brain monitoring subsystem includes monitoring electrodes for sensing brain activity, and a brain stimulation subsystem includes stimulating electrodes for applying an electrical current stimulation. Multi-scale distributed data is registered into a graphical representation. The system identifies a sub-graph in the graphical representation and maps the sub-graph onto concept features, generating a concept lattice which relates the concept features to a behavioral effect. Finally, an electrical current stimulation to be applied to produce the behavioral effect is determined.

Abstract: A multiple wavelength optical system includes plural solid state light sources, an optical diffuser, a lens assembly, and at least one photodetector. The solid state light sources have different wavelength ranges respectively. The optical diffuser has an incident surface and an exit surface opposite to the incident surface. The solid state light sources are disposed opposite the incident surface, and the lens assembly is disposed opposite the exit surface. Each of the solid state light sources faces the incident surface in the same direction. The lights of the solid state light sources enter the optical diffuser and exit from the exit surface, and then are focused by the lens assembly. Finally, the focused lights are projected on a surface of an object. At least one photodetector receives the reflected lights and the penetrating lights from the surface of the object.

Abstract: The optical sensing device is provided for receiving and transmitting a light signal. A light working area is defined according to a measurement range of the light signal. The optical sensing device includes a body, a transformation part and a signal unit. A light emitting unit and a light receiving unit are disposed at an end of the body, and the light emitting unit and the light receiving unit face the light working area. The transformation part pivots on the body. A light processing unit is disposed on the transformation part, and the light processing unit is capable of locating in the light working area for transmitting or receiving the light signal. The signal unit is configured for transmitting and processing the light signal.

Abstract: Described is a system for determining reliability of nodes in a mobile wireless network. The system is operable for receiving an Exploitation Network (Xnet) database. The Xnet database has an Xnet structure formed of a physical node layer (NetTopo), a network dependent (NetDep) layer, and an application dependent (AppDep) layer. The NetTopo layer includes NetTopo graphs reflecting connectivity between the nodes. The NetDep layer includes NetDep graphs reflecting connectivity dependencies amongst the nodes, and the AppDep layer includes Appdep graphs reflecting software application dependencies amongst the nodes. An Xnet Analytics Engine is run that monitors and evaluates reliability of each node in the mobile wireless network to provide a reliability estimate of each node.

Abstract: Network of networks (NoN) structure reconstruction employs compressed sensing with multivariate time series data and graph partitioning to reconstruct a node-to-node connection structure of an NoN. The NoN structure reconstruction includes determining an adjacency matrix of the NoN from the multivariate time series data using the compressed sensing. Partitioning a graph representing the determined adjacency matrix into subgraphs provides the reconstruction of the node-to-node connection structure.

Abstract: An image capturing system includes several image capturing units and a processing unit. A first image capturing unit of the image capturing units is configured to capture a first image having an object. The processing unit is configured to receive the first image and process the first image to generate a data signal, and transmit a command signal to a second image capturing unit of the capturing units according to the data signal. Furthermore, the second image capturing unit is configured to capture a second image having the object according to the command signal.

Abstract: The present invention refers to a composition comprising a viral protein or fragment thereof, wherein the viral protein or fragment thereof is enclosed within a self-assembling protein nanocapsule, preferably ferritin, and wherein the viral protein, or fragment thereof is selected from a virus of the Togaviridae family. The viral protein or fragment thereof may also further be selected from a virus of the alphavirus subfamily.

Abstract: Described is a system for feature selection for formal concept analysis (FCA). A set of data points having features is separated into object classes. For each object class, the data points are convolved with a Gaussian function, resulting in a class distribution curve for each known object class. For each class distribution curve, a binary array is generated having ones on intervals of data values on which the class distribution curve is maximum with respect to all other class distribution curves, and zeroes elsewhere. For each object class, a binary class curve indicating for which interval a performance of the known object class exceeds all other known object classes is generated. The intervals are ranked with respect to a predetermined confidence threshold value. The ranking of the intervals is used to select which features to extract from the set of data points in FCA lattice construction.

Abstract: Described is a system for using social media data to supplement survey data for discrete choice analysis. Survey data from consumers is segmented into demographic groups. Individual demographic attributes and consumer product attribute preferences are extracted from a set of social media data. Consumer product attribute preferences are determined for each demographic group using the set of social media data. Consumers' preference coefficients are generated for each demographic group. Finally, individualized incentives for a target consumer product are determined using the consumers' preference coefficients.