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 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: 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: 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.

Abstract: Two CAPTCHA variants based on neural style transferred image are described: an option-based CAPTCHA and a slider-based CAPTCHA. In the neural style transfer-based slider puzzle CAPTCHA, a neural style transferred image is used as the background. Multiple missing blocks and a puzzle block to be moved are embedded on the neural style transferred image. The user is presented with a slider, using which they can drag the sliding block and place it on the correct missing block. Since the background image is neural style transferred, it becomes difficult to decipher the original image due to high difference in the texture. Placing multiple missing blocks makes the system more resilient to attacks because the chances of finding the correct missing block position is decreased. In the option-based neural style transfer image CAPTCHA, a neural style transferred image of an object/animal is presented to the user along with multiple options. The user is asked to select the option that best describes the presented image.

Abstract: An impeller associated with a compressor of a gas turbine engine includes a plurality of impeller blades. Each impeller blade of the plurality of impeller blades has a leading edge and a trailing edge opposite the leading edge in a streamwise direction. Each impeller blade of the plurality of impeller blades extends in a spanwise direction from a hub at 0% span to a tip at 100% span, and each impeller blade of the plurality of impeller blades has a plurality of mean camber lines that each extend from the leading edge to the trailing edge at a respective spanwise location. The leading edge includes a partially swept leading edge surface defined between 70% span to 100% span that extends in the streamwise direction between 3% to 15% of a mean camber line at 100% span.

Abstract: A system comprises an implantable medical device configured to generate temperature data and impedance data associated with temperature and impedance of a patient proximate to the implantable medical device. The system further comprises processing circuitry configured to determine whether a first one or more infection criteria are satisfied by temperature data and impedance data generated by the implantable medical device during a first time interval, wherein the first one or more infection criteria include at least one criterion indicative of decreased impedance, determine whether a second one or more infection criteria are satisfied by the temperature data and impedance data generated by the implantable medical device during a second time interval subsequent to the first time interval, wherein the second one or more infection criteria include at least one criterion indicative of increased impedance, and output, based on satisfaction of the first and second infection criteria, an indication of infection.

Abstract: Transistors with metal oxide channel material and a multi-composition gate dielectric. A surface of a metal oxide gate dielectric may be nitrided before deposition of a metal oxide channel material, for example to reduce gate capacitance of a TFT. Breakdown voltage and/or drive current of a TFT can be increased through the introduction of an additional metal oxide and/or nitride between the gate electrode and a metal oxide gate dielectric. The introduction of an intervening layer between two layers of a metal oxide gate dielectric can also increase breakdown voltage and/or drive current of a TFT.

Abstract: Configuration utilities, such as object wizards, enable automatic configuration of domain-specific assets from object templates based on domain specific options. In an aspect, an application object template library stores a set of previously defined application object templates. The templates each include a superset of options common to a set of related domain objects. A configuration utility is configured for specifying at least one domain-specific option of the superset and creating an application object instance to be included in an application. The application object instance comprising at least one of the application object templates having the specified domain-specific option.

Abstract: The present invention relates to a stable formulation of Cetrorelix or its pharmaceutically acceptable salt in the form of ready-to-use solution. The said stable ready-to-use solution of Cetrorelix prevents gel formation and provides better patient compliance. Further, the invention relates to a process for preparation of the said stable ready-to-use solution of Cetrorelix.

Abstract: An inlet particle separator system for a gas turbine engine includes a separator manifold. The separator manifold includes an inlet upstream from an outlet. The inlet is to receive an incoming airflow, and the outlet is to be fluidly coupled to an inlet of the gas turbine engine. The inlet particle separator system includes at least one dry fog nozzle coupled proximate the inlet so as to face at least partially away from the inlet. The dry fog nozzle is external to the separator manifold, and the dry fog nozzle is to direct a spray of dry fog in a direction transverse to the incoming airflow to agglomerate with fine particles in the incoming airflow to form agglomerated particles. The inlet particle separator system includes a scavenging system coupled to the separator manifold downstream from the inlet, and the scavenging system removes the agglomerated particles from the separator manifold.

Abstract: An impeller associated with a compressor of a gas turbine engine includes a plurality of impeller blades. Each impeller blade of the plurality of impeller blades has a leading edge and a trailing edge opposite the leading edge in a streamwise direction. Each impeller blade of the plurality of impeller blades extends in a spanwise direction from a hub at 0% span to a tip at 100% span, and each impeller blade of the plurality of impeller blades has a plurality of mean camber lines that each extend from the leading edge to the trailing edge at a respective spanwise location. The leading edge includes a partially swept leading edge surface defined between 70% span to 100% span that extends in the streamwise direction between 3% to 15% of a mean camber line at 100% span.

Abstract: The present invention relates to mobile imaging. In order to provide a mobile medical imaging system (100) with improved positioning characteristics, A positioning arrangement (126) is provided. The positioning arrangement comprises at least one positioning sensor (128). The at least one positioning sensor determines a current distance between a mobile structure of a mobile medical imaging system and at least one object in an environment of the mobile medical imaging system. The at least one positioning sensor operates in a first mode if a current distance is greater than a predetermined threshold, and/or in a second mode, if the current distance is smaller than the predetermined threshold. In the first mode, the at least one positioning sensor operates at a first spatial resolution, and, in the second mode, the at least one positioning sensor operates at a second spatial resolution, which second spatial resolution differs from the first spatial resolution.

Abstract: Obtaining one or more metrics associated with a network location. Determining, based on the one or more metrics and one or more prefatory check conditions, a prefatory status of the network location, the prefatory status indicating a benign status, malicious status, or a suspicious status. If the prefatory status of the network location indicates the benign status or the malicious status, providing a notification of the prefatory status in response to the prefatory status being determined. If the prefatory status of the network location indicates a suspicious status, obtaining a document object model of the network location. Obtaining a screenshot of an entire page of content at the network location. Generating a null hypothesis based on the document object model, the null hypothesis including a potential brand list, the potential brand list including one or more potential brands. Obtaining a set of reference images for each of the one or more potential brands of the potential brand list.

Abstract: The proposed system tracks user and entity behavior under 3 categories—time, count, and pattern. An event is composed of different fields that describe the event. For example, a log on event could have different fields like username, hostname, log on time, log on type, etc. An event is passed through one or more algorithms, depending on what kind of behavioral information needs to be tracked from the event. For example, a user logon event can be processed under the time category to detect whether the user is logging on at an anomalous time. It can also be processed under the pattern category to detect whether the user is logging on a host that does not fit into the user's regular log on pattern. The decision as to which events are to be processed under which category can be configured external to the system using domain knowledge.

Abstract: A method for increasing biomass and sugar yield of a plant comprising: transforming a plant with a first gene that is functional in a plant, wherein said gene is pleitropic, and wherein said plant overexpresses said gene, thereby increasing biomass and sugar yield; producing said plant through molecular breeding using information of said gene; and cultivating said plant.