Abstract: This disclosure relates generally to methods and systems for designing an optimal dual-band metamaterial polarization converter for refractive index sensing applications. Most of the existing techniques for designing the metamaterial-based polarization converters operating at very high frequency range limits the sensing performance and increases fabrication complexity. In the design of the optimal dual-band metamaterial polarization converter, first a circular split-ring resonator (SRR) as a unit cell is designed. Secondly, the two capacitive gaps of the top layer, are aligned at 180 degrees with respect to each other and at 45 degrees with respect to X-axis and Y-axis. Lastly, step-by-step tuning the one or more key design parameters of the SRR, is performed until an optimum frequency response is obtained, to obtain the optimal dual-band metamaterial polarization converter.

Abstract: At least one fiber-optic sensor unit measures a mechanical variable which affects a rail having a certain length and a neutral axis that extends along said length of the rail. The at least one fiber-optic sensor unit is disposed at an angle of 30° to 60°, in particular 45°, relative to the neutral axis or at an angle of ?30° to ?60°, in particular ?45°, relative to the neutral axis. The at least one fiber-optic sensor unit is irradiated with primary light in order to generate a signaling light in a reflection mode or transmission mode. The intensity of the signaling light is sensed. The signaling light is evaluated.

Abstract: A closed bottom vaporizer pod prevents vaporizable material from exiting the pod and entering into a heat source of a vaporizer. A closed bottom vaporizer pod further reduces contamination and/or fouling of a vaporizer and comprises a closed bottom capsule, at least one air inlet for drawing air into the closed bottom capsule, and at least one air outlet for drawing air out of the closed bottom capsule. An air flow path is created from the at least one air inlet, the closed bottom capsule, and the air outlet which prevents contamination of the vaporizer.

Abstract: Embodiments include a method for monitoring a fracturing operation that includes positioning a pump at a well site where fracturing operations are being conducted. The method also includes arranging one or more sensors at at least one of a pump inlet or a pump outlet, the one or more sensors monitoring a flow rate of a slurry. The method includes receiving flow data from the one or more sensors. The method also includes determining a pump efficiency, based at least in part on the flow data, is below a threshold. The method further includes adjusting one or more operating parameters of the pump.

Abstract: A method of converting electronic messages into conversation data. The method comprises: receiving electronic message data from an externally shared communication channel in a group-based communication platform, wherein the electronic message data comprises: electronic messages; a respective user associated with each electronic message; a respective channel or group associated with each electronic message; and a respective time or date associated with each electronic message; generating a database that represents the electronic message data in a message per row format; generating conversation data by grouping the electronic messages in the database into one or more conversations based on the electronic message data; and outputting the generated conversation data in a form of one or more of: a conversational HTML file; a text file; a CSV file associated with each user associated with each electronic message; or a CSV file associated with each channel or group associated with each electronic message.

Abstract: Methods and systems are described for generating dynamic conversational responses using two-tier machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The two-tier machine learning model may include a first tier that determines an intent cluster based on a feature input, and a second tier that determines a specific intent from the cluster.

Abstract: A method to perform a real-time analysis of fluid flow in a well, includes receiving data simultaneously streamed from a plurality of sensors, and populating a model of the well with the data, where the model has a plurality of parameters that are inputs of the model, and where each parameter being associated with data streamed from a sensor of the plurality of sensors. The method also includes calculating a fluid flow of a fluid flowing through a location of the well based on the model. In response to receiving new data streamed from one or more sensors of the plurality of sensors, the method further includes dynamically calibrating the model in real time based on the new data and calculating an updated fluid flow of the fluid flowing through location of the well based on the recalibrated model.

Abstract: A tracking management method for commodity circulation information, relating to the field of information technology, and implemented by means of a Transaction Settlement System. By determining whether the seller of a commodity is legally holding the commodity, fake goods can be prevented from being mixed into a commodity circulation process. By means of the method, fake goods cannot enter a circulation channel, and ordinary consumers do not need to distinguish the genuine from the fake when purchasing commodities.

Abstract: A widening gap between the emerging technology curve and technology adoption curve of businesses constitute the technology debt for an enterprise. Embodiments herein provide a method and system to identify technology debts and propose recommendations which may remediate the risk associated with technology debts. The system enables enterprises to take stock of their IT landscape across application and infrastructure that are running the risk of becoming obsolete. The system analyses various critical dimensions of an IT environment across various infrastructure and application components to arrive at the technology debts associated with each domain. The system provides a risk scoring mechanism that combines risk scoring parameters, past impact due to the identified technology debt, obsolescence component percentage in every technology area, security vulnerabilities present in the technology landscape, and critically of the application workload running on obsolescent technology component.

Abstract: A bead delivery disk, system and method of delivering flavor beads to a tobacco rod or tow including a bead source, a bead delivery disk in communication with the bead source, including a central disk portion having front and back sides and a first central thickness, an inner annular rim around the central disk portion, the inner annular rim having a second thickness less than said first thickness, a series of pockets spaced around the inner annular rim and multiple vacuum transmission apertures located on one side of the disk, each aperture communicating with at least one of the pockets.

Abstract: State of art techniques hardly provide data balancing for multi-label multi-class data. Embodiments of the present disclosure provide a method and system for identifying cardiac abnormality in multi-lead ECGs using a Hybrid Neural Network (HNN) with fulcrum based data re-balancing for data comprising multiclass-multilabel cardiac abnormalities. The fulcrum based dataset re-balancing disclosed enables maintaining natural balance of the data, control the re-sample volume, and still support the lowly represented classes there by aiding proper training of the DL architecture. The HNN disclosed by the method utilizes a hybrid approach of pure CNN, a tuned-down version of ResNet, and a set of handcrafted features from a raw ECG signal that are concatenated prior to predicting the multiclass output for the ECG signal. The number of features is flexible and enables adding additional domain-specific features as needed.

Abstract: Present disclosure relates to method and synchronization system for synchronizing plurality of events associated with one or more processes in assembly line for tracing entity. Initially, information related to plurality of events associated with one or more processes from one or more devices is received, where each of the plurality of events comprises respective first timestamp. Upon receiving, the first timestamp between each of the plurality of events is synchronized by performing first level and second level synchronization. The synchronization converts first timestamp into second timestamp with respect to common reference timestamp. Further, the synchronization system may identify one or more defects based on quality value assigned to entity. Thus, the present disclosure helps the synchronization system to efficiently trace entity when a defect is identified and replaces/repairs the entity.

Abstract: In some embodiments, a transaction request associated with a first transaction identifier may be obtained. A first database may be accessed to store a transaction entry in the first database based on the transaction request. A reversed key may be generated by reversing the first transaction identifier. A second database may be accessed to determine whether the second database comprises any records indexed by the reversed key. An aggregation record comprising the first value may be generated in the second database. In some embodiments, a second transaction identifier of an update message for the first database may be reversed to reconstruct the reversed key, and the second database may be searched with the reversed key to retrieve the aggregation record. The aggregation record may be updated based on the second value and sent to a destination after updating the aggregation record with the second value.

Abstract: Planograms are used to create consistency between store locations, to provide proper shelf space allocation, to improve visual merchandising appeal, and to create product-pairing suggestions. Existing solutions do not have a way to accurately estimate the scale of magnification of the object in the shelf image, so unable to distinguish between size variants of the same product. A system and method for facilitating planogram compliance for inventory management in a retail store have been provided. The scales are calculated with use of a vector convergence technique followed by a center clustering which automatically removes outliers. Initially disclosure comprises calculation of scales and centers, then generation of region proposals using those scales and centers, Next, classification of the regions proposed and generation of similarity scores, and on the basis of similarity scores conflict resolution is performed among overlapped region proposals using non-maximal suppression.

Abstract: Optical images in remote sensing are contaminated by cloud cover and bad weather conditions and are only available during the daytime. Whereas SAR images are completely cloud free, independent of weather conditions and can be acquired both during the day and at night. However, due to the speckle effect and side looking imaging mechanism of SAR images, they are not easily interpretable by untrained people. To address this issue, the present disclosure provides a method and system for LULC guided SAR visualization, wherein a GAN is trained to translate SAR images to optical images for visualization. A given SAR image is fed into a first generator of the GAN to obtain LULC map which is then concatenated with the SAR image and fed into a second generator of the GAN to generate an optical image. The LULC map provides semantic information required for generation of more realistic optical image.

Abstract: State of the art methods require size of DL model, or its gradients be less than maximum data item size of storage used as a communication channel for model training with serverless platform. Embodiments of the present disclosure provide method and system for training large DL models via serverless architecture using communication channel when the gradients are larger than maximum size of one data item allowed by the channel. Gradients that are generated by each worker during current training instance, are chunked into segments and stored in the communication channel. Corresponding segments of each worker are aggregated by aggregators and stored back. Each of the aggregated corresponding segments are read by each worker to generate an aggregated model to be used during successive training instance. Optimization techniques are used for reading-from and writing-to the channel resulting in significant improvement in performance and cost of training.

Abstract: Improvements to post-quantum lattice-based digital signature schemes are disclosed. By sampling cryptographic material, including cryptographic key matrices and masking vectors from a uniform distribution, embodiments eliminate the need for a security check during generation of a digital signature vector. As a result, digital signatures can be generated faster and at a lower failure rate. A generating device can generate a verification matrix A and a secret matrix S from a uniform distribution, and an error matrix E from a special distribution (such as a Gaussian). The generating device can combine the three matrices to generate a public matrix Y. The first and the fourth matrices (A, Y) can be used as a public key used to verify digital signatures. The second and the third matrices (S, E) can be used as a private key used to generate digital signatures.

Abstract: Quality of weld images in with bad lighting condition and specific image color formats add constraints to existing automated weld inspection systems. Embodiments herein provide a method and system based on Domain Knowledge Infused Adaptive-Network-based Fuzzy Inference System (DKI-ANFIS) for weld quality inspection. The DKI-ANFIS inspects the quality of weld joint using domain driven quality inspection techniques. A segmentation algorithm is used to extract the weld joint in form of fractals followed by an unsupervised technique to extract useful geometrical features from the fractals. These geometrical features are used for quality index generation. A weld inspection model comprising the DKI-ANFIS is used for determining the quality of the weld joint. DKI-ANFIS modifies layers of ANFIS by infusing layer of domain knowledge to give better results even if there is a class imbalance in the data or the data is skewed or there is only a short corpus of data available.

Abstract: A exhausted-tobacco tablet that includes a solid solution of soluble fiber and one or more sugar alcohols, the solid solution having a glass transition temperature of less than 40° C., and exhausted-tobacco is dispersed in the solid solution, and one or more additives dispersed in the solid solution such that at least one additive is released from the tablet when the tablet is chewed or dissolved within an adult tobacco consumer's oral cavity.

Abstract: A computer-implemented method for generating price comparisons in an electronic conversation may include: receiving first data from a mobile device including a product identifier; determining an identification of the product; using a machine-learning model, determining a matching product, the machine-learning model trained to learn associations between products based on (i) product identification numbers, (ii) vectorizations of parameters of products, and (iii) social information data; identifying an offer for a matching product; extracting second data from the offer that includes a price and third data configured to enable access to the offer; determining a lowest price offer from amongst identified offers; generating fourth data that includes (i) information indicative of the lowest price offer, and (ii) fifth data configured to enable access to at least one of the respective third data corresponding to the lowest price offer or the second data; and transmitting the fourth data to the mobile device.