Abstract: A system and method of securing a Function as a Service (FaaS) cloud computing system without using access rights to operating system (OS) kernels of the cloud service system. The method includes receiving a request to invoke a user-function associated with a computing language. The method includes executing the user-function within an operating system that executes on a processing device of the cloud service system. The method includes monitoring, by the processing device, a real-time behavior of the user-function using a security sensor that executes within the operating system, wherein the security sensor is without access rights to a kernel of the operating system. The method includes acquiring behavioral data indicative of the real-time behavior of the user-function.

Abstract: Conventional transport mode detection relies either on GPS data or uses supervised learning for transport mode detection, requiring labelled data with hand crafted features. Embodiments of the present disclosure provide a method and system for identification of transport modes of commuters via unsupervised learning implemented using a multistage learner. Unlabeled time series data received from accelerometer of commuters mobiles from a diversified population is processed using a unique journey segment detection technique to eliminate redundant data corresponding to stationary segments of commuter or user. The non-stationary journey segments are represented using domain generalizable Invariant Auto-Encoded Compact Sequence (I-AECS), which is a learned compact representation encompassing the encoded best diversity and commonality of latent feature representation across diverse users and cities.

Abstract: A method for resetting a system settings memory of processing circuitry of a computing system includes determining that a reset of the system settings memory is needed. At a controller coupled with a relay-based hardware circuit positioned between the system settings memory and a battery that backs the system setting memory, the method includes initiating clearing of the system settings memory of the processing circuitry of the computing system. Based on determining that a predetermined time period has passed from initiating the clearing of the system settings memory of the processing circuitry of the computing system, the method includes proceeding with a boot sequence for the computing system.

Abstract: Presented are efficient systems and methods for automatically detecting and configuring network connections in Fibre Channel (FC) and similar networks. In various embodiments, this is accomplished by using an I/O module (IOM)'s fabric login (FLOGI) response or FLOGI request to identify the type of an uplink interface as either FC Gateway or FC Direct Attach, determining whether server interfaces coupled to the TOM support FCoE, and then, automatically configuring server interfaces based on the identified type of uplink interface.

Abstract: A wireless communication device wirelessly downloads a user application, and in response, wirelessly receives signaling that indicates a wireless network slice for the user application. The wireless communication device wirelessly downloads another user application, and in response, wirelessly receives other signaling that indicates another wireless network slice for the other user application. The wireless communication device executes the user application, and in response, wirelessly transfers a request for the wireless network slice and wirelessly exchanges application data for the user application over the wireless network slice for the user application. The wireless communication device executes the other user application, and in response, wirelessly transfers another request for the other wireless network slice and wirelessly exchanges other application data for the other user application over the other wireless network slice for the other user application.

Abstract: The present invention provides a novel reference standard, comprising of activated-quenched polysaccharide, for quantifying polysaccharide content in a vaccine composition using nephelometry. The invention also provides a method for preparing the activated-quenched polysaccharide, for use as a reference standard. Further, a nephelometry based method for quantifying the polysaccharides in a multivalent conjugate vaccine is also provided. The reference standard of the present invention, comprising of the activated-quenched polysaccharide, is stable and can be used for accurate quantification of polysaccharides through nephelometry.

Abstract: A method of forming a silicon film includes forming an amorphous, intrinsic, silicon layer on a substrate, forming a nickel pattern on the silicon layer, forming a first doped silicon region by doping phosphorus into a region of the silicon layer, and annealing to crystallize the silicon layer, the crystallization propagating by nickel induced lateral crystal growth starting from a portion of the silicon layer directly adjacent the nickel pattern on a first side of the first doped silicon region, propagating through the first doped silicon region to a second side of the first doped silicon region, and subsequently propagating to crystallize regions of the silicon layer to the second side of the first doped silicon region, the crystallization propagation through the first doped silicon region resulting in reduced nickel concentration, thereby forming a reduced nickel-concentration crystallized silicon layer to the second side of the first doped silicon region.

Abstract: Systems, computer program products, and methods are described herein for optimized data archival using data detection and classification model. The present invention is configured to receive information associated with a first data element within a distributed network environment; determine a first data type associated with the first data element; determine one or more archival actions associated with the first data element; determine one or more archival requirements associated with the first data element; determine one or more utilization parameters associated with the first data element; initiate an execution of the one or more archiving actions on the first data element; determine that the one or more archival actions meet the one or more archival requirements associated with the first data element; and execute the one or more archiving actions based on at least determining that the one or more archival actions meet the one or more archival requirements.

Abstract: This disclosure relates generally to the field of Electroencephalogram (EEG) classification, and, more particularly, to method and system for EEG motor imagery classification. Existing deep learning works employ the sensor-space for EEG graph representations wherein the channels of the EEG are considered as nodes and connection between the nodes are either predefined or are based on certain heuristics. However, these representations are ineffective and fail to accurately capture the underlying brain's functional networks. Embodiments of present disclosure provide a method of training a weighted adjacency matrix and a Graph Neural Network (GNN) to accurately represent the EEG signals. The method also trains a graph, a node, and an edge classifier to perform graph classification (i.e. motor imagery classification), node and edge classification. Thus, representations generated by the GNN can be additionally used for node and edge classification unlike state of the art methods.

Abstract: Techniques for granting, for a device, access to additional functionality requested by user inputs received by the device are described. A system may receive, from a device, a first user input requesting content of a content type requiring additional functionality access in order for the content to be sent to the device. The system may exchange data with an access control system in order to determine the device is capable of performing the additional functionality. The system may prompt the user as to whether the additional functionality access should be granted. In response to receiving a confirmatory user input, the system may cause the access control system to grant the additional functionality access for the device.

Abstract: Methods, apparatus, and processor-readable storage media for security-based image classification using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining one or more images; extracting text from at least a portion of the one or more images by processing the one or more images using at least a first set of one or more artificial intelligence techniques; classifying at least one of the one or more images, into one or more of multiple security-based classification categories, by processing at least a portion of the extracted text using at least a second set of one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the classifying of the at least one of the one or more images.

Abstract: The present invention relates to nimbolide analogs useful as anti-cancer agents and preparation thereof. Particularly the present invention relates to nimbolide analogs of general formula I. wherein, ring M is any ring selected from the group consisting of substituted or unsubstituted aryl, heteroaryl, cycloalkyl and heterocyclic; A and B are selected from the group consisting of C, O, N, S and H; R1, R2, R3, R4, R5 and R6 are selected from the group consisting of C1-C6 alkyl, aryl, heteroaryl, C1-C7 cycloalkyl, heteroalkyl, hydrogen, hydroxy, alkoxy, nitro, halogen, amino, alkylamino, aryl amino and cyano; wherein each of these groups may be further substituted with one or more substituents selected from the group consisting of hydrogen, hydroxy, halogen, cyano, alkyl amino, aryl amino, alkoxy, amino, nitro, aldehyde, carboxylic acid and ester.

Abstract: Automated techniques for converting network devices from a Layer 2 (L2) network into a Layer 3 (L3) network in a hierarchical manner are described herein. The network devices may be configured to boot such that their ports are in an initialization mode in which the ports are unable to transmit locally generated DHCP packets. When a network device detects that a neighbor (or “peer”) device has acquired an IP address or has been configured by a network controller, then the port on which the neighbor device is detected can then be transitioned from the initialization mode into a forwarding mode. In the forwarding mode, the port can be used to transmit packets to obtain an IP address. Thus, the network devices are converted from an L2 device to an L3 device in a hierarchical order such that upstream devices are discovered and converted into L3 devices before downstream devices.

Abstract: A barcode reader for detecting a printing anomaly is described herein. The barcode reader may receive read data associated with a read operation involving a barcode reader and a barcode. The barcode reader may process, using an anomaly detection model, the read data to determine an anomaly status associated with the barcode being printed by a printer. The anomaly detection model may be trained based on reference decoding metric information associated with corresponding reference images that depict barcodes associated with one or more printing anomalies. The barcode reader may determine, based on the anomaly status, a printer status associated with the printer. The barcode reader may provide an indication of the printer status.

Abstract: Direct usage of endosomatic EDA has multiple challenges for practical cognitive load assessment. Embodiments of the method and system disclosed provide a solution to the technical challenges in the art by directly using the bio-potential signals to implement endosomatic approach for assessment of cognitive load. The method utilizes a multichannel wearable endosomatic device capable of acquiring and combining multiple bio-potentials, which are biomarkers of cognitive load experienced by a subject performing a cognitive task. Further, extracts information for classification of the cognitive load, from the acquired bio-signals using a set of statistical and a set of spectral features. Furthermore, utilizes a feature selection approach to identify a set of optimum features to train a Machine Learning (ML) based task classifier to classify the cognitive load experienced by a subject into high load task and low load task.

Abstract: The present invention relates to a method and system for early detection of COVID-19. Existing methods require data from multiple sensors for training a prediction model whose output is considered as final prediction which is actually the prediction for a particular day or time instance. However, this prediction doesn't detect actual infection of COVID-19 since it requires monitoring the change in health of the user over consecutive days. Embodiments of present disclosure overcome these challenges by a prediction model for COVID-19 which requires only data from Photoplethysmography (PPG) sensor seamlessly collected from a wearable device still able to provide accurate COVID-19 prediction with application of a post processing technique on the predictions of the prediction model. Since COVID-19 symptoms have an effect on heartrate and oxygen saturation which are effectively captured by PPG sensor data, studying these dynamics during infection period gives insights to perform early detection of COVID-19.

Abstract: A method of producing a reduced-defect density crystalline silicon film includes forming a Six1Ge1-x1 film on a substrate, forming a Six2Ge1-x2 film on the Six1Ge1-x1 film, forming a silicon film on the Six2Ge1-x2 film, and annealing to crystallize the Six1Ge1-x1, Six2Ge1-x2, and silicon films. The values of x1 and x2 are between zero and one. The Six1Ge1-x1 and Six2Ge1-x2 films are amorphous at formation, having a first thermal budget and a second thermal budget, respectively, for crystallization, the second thermal budget lower than the first thermal budget, the Six2Ge1-x2 film spaced apart from the substrate by the Six1Ge1-x1 film. A crystalline silicon TFT device includes a substrate, a crystallized Six1Ge1-x1 layer on the substrate, a crystallized Six2Ge1-x2 layer on the crystallized Six1Ge1-x1 layer, a crystallized silicon layer on the Six2Ge1-x2 layer, a gate insulator layer on the crystallized silicon layer, and a gate electrode on the gate insulator layer.

Abstract: A method of producing a polycrystalline silicon TFT includes forming nickel patterns on a substrate, forming a phosphorus doped silicon layer over the substrate and nickel patterns, and forming an intrinsic silicon layer on the phosphorus doped silicon layer. Alternatively, the intrinsic silicon layer can be formed on the substrate, the phosphorus doped silicon layer on the intrinsic silicon layer, and the nickel patterns on the phosphorus doped silicon layer. The structure is annealed to crystallize the phosphorus doped silicon and intrinsic silicon layers. A method of forming a crystalline silicon layer of a TFT device includes forming a first silicon film, forming a phosphorus doped silicon film on the first silicon film, forming a nickel film on the phosphorus doped silicon film, and annealing the structure to crystallize the phosphorus doped silicon and first silicon films. The first silicon and phosphorous doped silicon films are amorphous at formation.

Abstract: A system and a process for capturing Carbon Dioxide (CO2) from flue gases are disclosed. The process comprises feeding a flue gas comprising CO2 to at least one Rotary Packed Bed (RPB) absorber rotating circularly. A solvent may be provided through an inner radius of the RPB absorber. The solvent may move towards an outer radius of the RPB absorber. The solvent may react with the flue gas in a counter-current flow. The process further includes passing the flue gas through at least one of a water wash and an acid wash to remove traces of the solvent present in the flue gas. Finally, the solvent reacted with the CO2 may be thermally regenerated for re-utilizing the solvent back in the process.

Abstract: Techniques for video scene change detection performed at a server including processor(s) and a non-transitory memory are described herein. In some embodiments, the server obtains a media content item including a plurality of frames. The server further partitions the media content item into shots at local maxima of color deltas between the plurality of frames. The server also groups the shots into a list of candidate scenes based on features derived from key frames representing each of the shots. The server additionally generates a list of scenes using the features based on a required number of scenes and a minimum scene duration.