Abstract: Embodiments provide line-based feature generation for vision-based driver assistance systems and methods. For one embodiment, a feature generator includes a circular buffer and a processor coupled to an image sensor. The circular buffer receives image data from the image sensor and stores N lines at a time of an image frame captured by the image sensor. The N lines of the image frame are less than all of the lines for the image frame. The processor receives the N lines from the circular buffer and stores one or more features generated from the N lines in a memory. Iterative blocks of N lines of image data are processed to complete processing of the full image frame, and multiple frames can be processed. The generated features are analyzed by a vision processor to identify, classify, and track objects for vision-based driver assistance and related vision-based assistance actions.

Abstract: The present invention relates to an improved and efficient process for the synthesis of 2-[2-(1-chlorocyclopropyl)-3-(2-chlorophenyl)-2-hydroxypropyl]-2,4-dihydro-3H-1,2,4-triazole-3-thione, compound of formula (I) (Prothioconazole). The present invention more particularly relates to an improved process for manufacturing of 2-(1-chloro-cycloprop-1-yl)-3-(2-chloro phenyl)-2-hydroxy propyl-1-hydrazine (compound of formula III) and 2-[2-(1-chlorocyclopropyl)-3-(2-chlorophenyl)-2-hydroxypropyl]-1,2,4-triazolidine-3-thione (compound of formula II) which are mainly used for synthesis of Prothioconazole which is knows as an active compound with microbicidal fungicidal properties.

Abstract: A geometric correction system and method for performing geometric correction of a distorted image in an input frame to provide a corrected image in an output frame including a local memory, geometric correction circuitry, a tile reader, and a descriptor memory storing multiple tile descriptors. The tile reader retrieves distorted tile data from the input frame into the local memory for one corrected tile group at a time according to a corresponding tile descriptor. Each tile descriptor identifies distorted tile data to retrieve and distorted tile data to skip from the local memory for the corresponding corrected tile group. The tile descriptor includes a descriptor for each row of local memory area identifying data to be read and data to be skipped for each row. Only the data needed for one or more target tiles is read to reduce memory transfer bandwidth overhead.

Abstract: The present invention discloses a process of xylitol production from pure xylose, xylose containing liquid extract from the acid pretreated biomass (LEPB) and co-production of ethanol and xylitol from dilute acid pretreated lignocellulosic biomass by natural S. cerevisiae DBT-IOC S24 (MTCC25086). The present invention also discloses a process of xylitol production wherein a thermo and inhibitor tolerant S. cerevisiae DBT-IOC S24 (MTCC25086) natural strain has been induced to produce xylitol from xylose at defined process parameters using xylose containing diluted acid pretreated biomass as well as from xylose containing synthetic media in presence of glucose, lignocelluloses biomass derived xylitol inducer maintaining aeration at 1VVM and pH at 5.0 in the medium.

Abstract: The present invention relates to a novel and improved process for preparation of methyl [2-({[1-(4-chlorophenyl)-1H-pyrazol-3-yl]oxy}methyl)phenyl]methoxycarbamate (Pyraclostrobin) of formula (I) in free form or in agrochemically acceptable salt form useful as a pest control agent starting from methyl [2-({[1-(4-chlorophenyl)-1-H-pyrazol-3-yl]oxy}methyl)phenyl]hydroxycarbamatein simple manner and in high purity and good yield.

Abstract: The present invention relates to an improved method of second generation ethanol production from a lignocellulosic biomass. The process comprises subjecting a slurry of pre-treated lignocellulosic biomass comprising C5 and C6 sugars in a fermentor; preferentially fermenting mainly C5 sugars by incubating the pretreated lignocellulosic biomass of step (i) with first cellulase enzyme, co-fermenting microorganism, nutrient in the fermentor at 30-37° C. for a period of 16 to 24 hours; adding second cellulase enzyme to the fermentation broth of step (ii) and increasing the temperature to 45-55° C. for hydrolysis; allowing the fermentation broth of step (iii) to cool to a temperature of 35-38° C.; and preferentially fermenting C6 sugars by incubating the broth of step (iv) with a second dose of co-fermenting microorganism for a period of 6-8 hours to obtain ethanol. The process results in high ethanol productivity in shortest duration of time.

Abstract: Systems and methods include obtaining a plurality of parameters associated with a host; determining a fingerprint of the host utilizing the plurality of parameters; and providing the fingerprint to cloud service for enrollment and management of the host in the cloud service. The cloud service can include microsegmentation of the host. The cloud service can include any of Internet access for the host and private resource access by the host.

Abstract: Systems and methods include establishing a control channel of a tunnel utilizing a first encryption technique, wherein the tunnel is between a local node including one or more processors and a remote node, and wherein the control channel includes a session identifier; establishing a data channel of the tunnel utilizing a second encryption technique, wherein the data tunnel is bound to the control channel based on the session identifier; performing, over the control channel, device authentication and user authentication of one or more users associated with the remote node, wherein each of the one or more users includes a user identifier; and, subsequent to the device authentication and the user authentication, exchanging data packets over the data channel with each data packet including a corresponding user identifier. The first encryption technique can be one of TLS and SSL, and the second encryption technique can be one of TLS and DTLS.

Abstract: Embodiments described herein provide a processing apparatus comprising compute circuitry to generate neural network data for a convolutional neural network (CNN) and write the neural network data to a memory buffer. The compute circuitry additionally includes a direct memory access (DMA) controller including a hardware codec having encode circuitry and a decode circuitry. The DMA controller reads the neural network data from the memory buffer, encode the neural network data via the encode circuit, writes encoded neural network data to a memory device coupled with the processing apparatus, writes metadata for the encoded neural network data to the memory device coupled with the processing apparatus, and decodes encoded neural network data via the decode circuit in response to a request from the compute circuitry.

Abstract: Systems and methods for device identification for management and policy in the cloud, using a combination of several hardware parameters and user's identification to generate a unique identifier for a user device and associated user. IOCTL and Assembly can be used to get the different hardware parameters. All the hardware parameters can then run through a process to generate a fixed size hardware fingerprint. A base64 encoding can be performed to convert it into a string, for consumption of database. The resultant identifier is unique and it is never stored on machine. The application can simply generate it whenever needed. The resultant identifier can used by a service provider to uniquely identify the device even when the device is moving hands or locations. The resultant identifier is never stored, so moving data from one device to another will not result in the same identifier for two devices.

Abstract: The present invention relates to a process for continuous production of second-generation ethanol from lignocellulosic biomass via continuous simultaneous saccharification and co-fermentation (SSCF) process, wherein the process includes a first fermentor vessel for selectively fermenting C5 sugars and then Continuous transferring the fermented biomass to a second fermentor vessel for hydrolyzing the fermented biomass and then Continuous transferring the hydrolysate to a third fermentor vessel for selectively fermenting C6 sugars to obtain ethanol. Overall, the ethanol yield achieved was up to 70% for both C5 and C6 sugars from pretreated biomass; and C5 utilization exceeded 95% after SSCF.

Abstract: Embodiments described herein provide a processing apparatus comprising compute logic to generate neural network data for a convolutional neural network (CNN) and write the neural network data to a memory buffer. The compute logic additionally includes a direct memory access (DMA) controller including a hardware codec having an encode unit and a decode unit, the DMA controller to read the neural network data from the memory buffer, encode the neural network data via the encode unit, write encoded neural network data to a memory device coupled with the processing apparatus, write metadata for the encoded neural network data to the memory device coupled with the processing apparatus, and decode encoded neural network data via the decode unit in response to a request from the compute logic.

Abstract: A geometric correction system and method for performing geometric correction of a distorted image in an input frame to provide a corrected image in an output frame including a local memory, geometric correction circuitry, a tile reader, and a descriptor memory storing multiple tile descriptors. The tile reader retrieves distorted tile data from the input frame into the local memory for one corrected tile group at a time according to a corresponding tile descriptor. Each tile descriptor identifies distorted tile data to retrieve and distorted tile data to skip from the local memory for the corresponding corrected tile group. The tile descriptor includes a descriptor for each row of local memory area identifying data to be read and data to be skipped for each row. Only the data needed for one or more target tiles is read to reduce memory transfer bandwidth overhead.

Abstract: A camera system and method are disclosed. The camera includes a memory, a camera, and a processor. The memory stores an adaptively subsampled look-up table. The adaptively subsampled look-up includes varying levels of subsampling across the adaptively subsampled look-up table. The camera captures an image, and the captured image is distorted based on varying distortions within an optical system of the camera. The processor receives the captured image from the camera, corrects the distorted captured image based on the adaptively subsampled look-up table to create a correct image, provides the corrected image, and executes a safety feature based on the corrected image.

Abstract: Systems and methods implemented by an application executed on a user device for service discovery and connectivity include discovering one or more cloud services for a user associated with the user device; creating and operating an interface on the user device; and intercepting traffic at the interface from one or more client applications on the user device and splitting the traffic based on configuration to the one or more cloud services. The method can further include authenticating the user into the one or more cloud services prior to the splitting.

Abstract: A multi-piece valance body is configured to extend lengthwise along the front of an adjacent headrail (e.g., of a covering for an architectural opening) between opposed lateral ends. The valance body may include a first valance body portion and a second valance body portion, with the body portions configured to be coupled together via a joint defined between the body portions in the lengthwise direction across the length of the headrail (e.g., a width of the architectural opening) to form the complete valance body structure.

Abstract: The present invention relates to a process for production of ethanol from lignocellulosic biomass via modified simultaneous saccharification and co-fermentation (SSCF), wherein the process includes transferring or recirculation of residual biomass from a first batch of SSCF to a second batch of SSCF at the time of enzymatic hydrolysis and then transferring the residual biomass in part or completely from the second batch of SSCF to a third batch of SSCF process to its hydrolysis reaction step. Overall, the average ethanol yield from three conjugative batch of SSCF is 5.06% higher compare to the single batch of SSCF without adding any additional enzyme, and hydrolysis time.

Abstract: A system, method, and apparatus are provided for correcting image distortions in an image processing hardware unit by specifying an input block having a dynamic or adaptive size that is capable of storing up to a plurality of distorted input sub-images from an array of distorted input sub-images stored in external memory that is connected to the image processing hardware unit, and then fetching one or more first distorted input sub-images from the external memory for storage in internal memory of the image processing hardware using the input block to perform a single read operation so that the image processing hardware can then process the one or more first distorted input sub-images as a group for distortion correction to generate a one or more first corrected output tiles.

Abstract: Embodiments provide line-based feature generation for vision-based driver assistance systems and methods. For one embodiment, a feature generator includes a circular buffer and a processor coupled to an image sensor. The circular buffer receives image data from the image sensor and stores N lines at a time of an image frame captured by the image sensor. The N lines of the image frame are less than all of the lines for the image frame. The processor receives the N lines from the circular buffer and stores one or more features generated from the N lines in a memory. Iterative blocks of N lines of image data are processed to complete processing of the full image frame, and multiple frames can be processed. The generated features are analyzed by a vision processor to identify, classify, and track objects for vision-based driver assistance and related vision-based assistance actions.

Abstract: Systems and methods include obtaining trusted network rules for a plurality of networks, wherein the trusted network rules include whether a network is untrusted or one of a plurality of trusted networks; obtaining policy configurations for each of the trusted network rules, wherein the policy configurations define configurations for a cloud-based system to use with a user device based on a corresponding network where the user device is connected; communicating with the user device and determining which network of the plurality of network the user device is connected; and applying the configurations in the cloud-based system for the user device based on the network the user device is connected. The steps can further include obtaining forwarding policies for each of the plurality of networks; and providing the forwarding policies to a connector application executed on the user device.