Abstract: The present disclosure relates to devices, light detection and ranging (lidar) systems, and vehicles involving solid-state, single photon detectors. An example device includes a substrate defining a primary plane and a plurality of photodetector cells disposed along the primary plane. The plurality of photodetector cells includes at least one large-area cell and at least one small-area cell. The large-area cell has a first area and the small-area cell has a second area and the first area is greater than the second area. The device also includes read out circuitry coupled to the plurality of photodetector cells. The read out circuitry is configured to provide an output signal based on incident light detected by the plurality of photodetector cells.

Abstract: The present invention provides a method and system for predicting tropospheric interference using a digital twin model for detecting tropospheric interference and suggesting actions for mitigating the effects of the tropospheric interference. The system (110) may include a machine learning engine (216) having a digital twin model to predict/score the likelihood of cell pairs having the tropospheric interference at a given point of time using cell configuration data, weather data, Hepburn data at that point of time by identifying cell pairs whose likelihood of interference is high. The system (110) is further configured to explore the effect of changing cell configuration parameters like remote electrical tilt and identify actions that can mitigate tropospheric interference with minimal impact on coverage.

Abstract: The present disclosure generally relates to profit optimization, and more particularly to methods and systems for profit optimization for an online/offline retail/wholesale category. Profit optimization includes demand forecasting, inventory planning, assortment planning, discount recommendation, price optimization, revenue optimization, and profit optimization in the online/offline retail/wholesale category. The method of profit optimization includes a hierarchical demand forecasting of products by using a stacked Long- and Short-Term Memory (LSTM) neural network architecture. Further, the method includes a quantification of price-demand causal effects and inter-product cross-causal effects using an eXtreme Gradient Boosting (XGBoost) technique. The method further includes a simulation of an effect of discount on a demand of products, and recommendation of an optimal discount using a non-linear optimization technique.

Abstract: A system and method for extracting a full range hyperspectral data from one or more RGB images. The method encompasses pre-processing, the one or more RGB images. Further the method encompasses estimating, an illumination component associated with each pre-processed RGB image. The method thereafter comprises removing, the illumination component from the each pre-processed RGB image. Further the method encompasses tracking, a trajectory of pixel(s) over frame(s) associated with the each pre-processed RGB image. The method then leads to identifying, a position of the pixel(s) in one or more adjacent frames of the frame(s) based on a patch defined around said one or more pixels. Thereafter the method encompasses extracting, the full range hyperspectral data from the each pre-processed RGB image based on at least one of the removal of the illumination component, the trajectory of the pixel(s) and the position of the pixel(s).

Abstract: Techniques for forming thin film transistors (TFTs) having multilayer and/or concentration gradient semiconductor regions. An example integrated circuit includes a gate electrode, a gate dielectric on the gate electrode, and a semiconductor region on the gate dielectric. In some cases, the semiconductor region includes a plurality of compositionally different material layers, at least two layers of the different material layers each being a semiconductor layer. In some other cases, the semiconductor region includes a single layer having a material concentration gradient extending from a bottom surface of the single layer (adjacent to the gate dielectric) to a top surface of the single layer. The integrated circuit further includes first and second conductive contacts that each contact a respective portion of the semiconductor region.

Abstract: Present disclosure generally relates to data analytics in wireless networks, more particularly relates to systems and methods for optimizing supply demand in telecommunication network. System may prepare data for optimization using raw telecom data. Further, the system may build quadratic optimization objective function by reading index table (cell—grid information). System may build quadratic program inequality constraints, and prepare right hand side of constraints for all mentioned constraints maintaining the index. Thereafter, the system may execute optimizer and find the optimal solution ensuring hyper-parameter tuning, and calculate focal point of each cell using cell-grid allocation vector. The system may read the optimal solution from optimization process, and estimate electronic tilt values (i.e., Remote Electrical Tilt (RET)) ensuring the business guidelines. Thereafter, the system may use line of sight method to get inclination value (optimal tilt value) of cell from the focal point on the ground.

Abstract: Techniques are provided herein for forming thin film transistor structures having a multilayer and/or concentration gradient gate dielectric. Such a gate dielectric can be used, to tune the performance and/or reliability of the transistor. According to some such embodiments, memory structures having thin film transistor (TFT) structures are arranged in a two-dimensional array within one or more interconnect layers and stacked in a vertical direction such that multiple tiers of memory structure arrays are formed within the interconnect region. Any of the given TFT structures may include a multilayer and/or graded gate dielectric that includes at least two or more different dielectric layers and/or a material concentration gradient through a thickness of the gate dielectric.

Abstract: Techniques for forming thin film transistors (TFTs) having multilayer contact structures. An example integrated circuit includes a gate electrode, a gate dielectric on the gate electrode, a semiconductor region on the gate dielectric, and a conductive contact that contacts at least a portion of the semiconductor region. In some other cases, the conductive contact comprises a multilayer structure having at least a first material layer on the at least a portion of the semiconductor region, at least a second material layer on the first material layer, and a conductive fill material over the first and second material layers. In some other cases, the conductive contact comprises a multilayer structure having (1) a graded material layer on the at least a portion of the semiconductor region and (2) a conductive fill material over the graded material layer, wherein the graded material layer comprises a concentration gradient of a given element.

Abstract: Techniques are provided herein for forming thin film transistor structures having co-doped semiconductor regions. The addition of insulating dopants can be used to improve the performance, stability, and reliability of the TFT. A given TFT structure within an array of similar TFT structures formed in an interconnect region may include a semiconductor region that is co-doped with one or more additional elements. The doping profile can be tuned to optimize performance, stability, and reliability of the TFT structure. In some embodiments, the doping profile causes an overall reduction in the conductivity of the semiconductor region, leading to a higher threshold voltage. Designing access devices (in, for example, a DRAM architecture) with higher threshold voltages can be beneficial for improving reliability of the memory cell.

Abstract: Techniques are provided herein for forming thin film transistor (TFT) structures having one or more doped contact regions. The addition of certain dopants can be used to increase conductivity and provide higher thermal stability in the contact regions of the TFT. Memory structures having TFT structures are arranged in a two-dimensional array within one or more interconnect layers and stacked in a vertical direction such that multiple tiers of memory structure arrays are formed within the interconnect region. Any of the TFT structures within the memory structures may include one or more contacts that are doped with additional elements. The doping profile of the contacts can be tuned to optimize performance, stability, and reliability of the TFT structure. Furthermore, additional doping may be performed within the area beneath the contacts and extending into the semiconductor region.

Abstract: Techniques are provided herein for forming multi-tier memory structures with graded characteristics across different tiers. A given memory structure includes memory cells, with a given memory cell having an access device and a storage device. The access device may include, for example, a thin film transistor (TFT) structure, and the storage device may include a capacitor. Certain geometric or material parameters of the memory structures can be altered in a graded fashion across any number of tiers to compensate for process effects that occur when fabricating a given tier, which also affect any lower tiers. This may be done to more closely match the performance of the memory arrays across each of the tiers.

Abstract: A system and method for prediction of failures and optimization, that can provide solution available for unsupervised learning models based on limited data that can predict different types of failure and pre-failure instances. The solution provides improvement upon previous methods of labelling by marking certain days data ahead of failure as belonging to failure data which will result in reduction of noisy data and improves good working condition data. The present invention helps with improved data quality due to labelling as the proposed method models complex distributions of feature vectors accurately and are better at finding deviations from normal data distribution which is used for detecting failures. The novel solution help to analyse and categorise the type of failures for PC Pumps currently deployed in CBM Fields for which failure days in advance can be predicted.

Abstract: Present disclosure generally relate to wireless networks, more particularly relates to systems and methods for determining spatial clusters in a network to enable connected community of telecommunication cellular towers. The system may prepare cell data using one or more circle data, city data, cell Identity (ID) data, latitude data, longitude data, azimuth data, and height data. System may compute geohash based on creating geohash neighbours and geohash bounding box data and compute sectors of the telecommunication towers. Further, the system may compute sector affinity of the telecommunication towers and perform clustering of the telecommunication towers.

Abstract: Described are methods and system that digitally watermark documents using an encoding scheme that embeds unique identifiers into the files by perturbing the relative heights of words to create patterns that are imperceptible to the human eye but decodable to recover the identifiers. The unique identifiers can be precoded before they are embedded in the documents.

Abstract: The present invention relates to an artificial intelligence based smart hand sanitization system (100) for elderly is provided. The system (100) comprises an inlet pipe (102), a liquid chamber (104), a washing model (110), a collection chamber (106), and an outlet pipe (108). The washing model (110) comprises a plurality of sensors (112), a first scanner unit (116), and a plurality of moveable nozzles (114), a second scanner unit (118), a central processing unit (120), and an alert generating unit (122). The smart portable system (100) for hand-wash has a plurality of moveable nozzles (114) to wash the hands of the user without wetting the accessories and cloth of the user. The present invention is a detachable smart portable system (100) for hand wash that can detach from the wall and be re-fixed on the wall according to the user requirement.

Abstract: A thin film transistor (TFT) structure. In an example, the TFT includes a gate electrode, a first layer comprising an oxide semiconductor material, and a second layer between the first layer and the gate electrode. The second layer is crystalline and is in contact with the first layer, and includes zirconium and oxygen. The TFT includes a first contact coupled to the first layer at a first location, and a second contact coupled to the first layer at a second location. In some cases, the second layer further includes hafnium. In some cases, the TFT includes a third layer between of the gate electrode and the second layer, the third layer comprising a metal and oxygen. The gate electrode may also include the metal. In some cases, hydrogen is present at an interface between the gate electrode and the second layer.

Abstract: A system and method for masking personally identifiable information (PII) using neural style transfer is disclosed. The present disclosure helps tackle the problem of PII being harvested from documents for illegitimate purposes. The present disclosure also curtails unscrupulous means of employing an optical character recognition (OCR) engine in exploiting or harvesting PII from digitized documents. Techniques described in this paper include customized PII masking.

Abstract: The present disclosure generally relates to handling data of non-linear, multi-variable complex systems. More particularly, the present disclosure relates to methods and systems for training machine learning-based computing devices to ensure adaptive sampling of highly complex data packets. The present invention provides a robust and effective solution to implement a complexity-based sampling methodology that trains the neural network in complex mapping regions, by iteratively sampling the DBMS function and training the neural network in complex regions. The system (110) for training the complex and non-linear neural network may be equipped with a Machine Learning (ML) Engine (214) to solve the problem efficiently.

Abstract: The present disclosure provides for a system for facilitating a completely automated process that may directly fetch an imagery of a given location and area from any mapping module and extract a plurality of objects in the given imagery. Further, a deep learning-based object segmentation such as but not limited to a cascaded reverse mask RCNN framework method may generate a set of predefined vectors associated with the image. The system may be configured to automate the generation of the predefined vectors based on the image received from the image sensing assembly.

Abstract: A medical system including processing circuitry configured to assess a blood glucose level of a patient. The processing circuitry is configured to use a cardiac signal indicative of the electrical activity of the patient's heart and a temperature signal indicative of a body temperature of the patient. The cardiac signal may be, for example, an electrocardiogram (ECG), an electrogram (EGM), or another measure. The medical system is configured to determine a representative cardiac measure indicative of the cardiac signal and determine a representative temperature measure indicative of the temperature signal. The medical system is configured to assess when a blood glucose level of the patient may be outside a euglycemic range based on the representative cardiac measure and the representative temperature measure determined.