Abstract: A method for managing a memory by an electronic device, and the electronic device, are provided. The method includes detecting a plurality of applications being executed and using the memory of the electronic device, determining a priority for each application of the plurality of applications, determining at least one page from a plurality of pages of at least one application from the plurality of applications to be dropped based on at least one priority associated with the at least one application, and dropping the at least one page from the plurality of pages of the at least one application.

Abstract: Example implementations are directed to eliminating or reducing the invoicing business process by using replicated states as single truth for sub-groups participating in a supply chain network involving a large number of transient partners in a low trust ecosystem. All activities of the business process such as invoicing are shared as single truth of replicated states for the subgroup. The confidential data involving terms of reference for business process is shared separately as single truth of replicated states among such partners. The validations for business process such as invoicing can be derived by executing smart contracts on such replicated states that have single truth about transactions among different sub-groups/channels in supply chain, thereby reducing/eliminating need for invoice generation that need to be manually verified, validated and acknowledged among supplier and customers for payments.

Abstract: The present disclosure generally relates to a system for crime risk forecasting using cyber security and deep learning comprises a data input unit for receiving a pre-stored crime event dataset and real time crime event data input along with geographical details of an area; a classification processing unit for categorizing pre-stored crime event dataset and real time crime event data input according to crime type; a graphical user interface for entering a target geographic area for forecasting upcoming crime risk; a central processing unit for generating a crime risk forecast based on the historical crime incident stored in the pre-stored crime event dataset using a deep leaning technique; and a control unit coupled to a display for displaying a crime risk ranking generated based on the crime risk forecast and one or more crime risk event for the target geographic area.

Abstract: The present invention relates to binding agents of human Leucine-rich Repeat Kinase 2 (LRRK2). More particular, allosteric modulators of LRRK2 activity have been identified, for targeting LRRK2 in human cells, while leaving LRRK2 subcellular localisation unaffected. Even more specifically, protein binding agents for allosteric modulation of LRRK2 kinase activity are disclosed, comprising immunoglobulin single variable domains (ISVDs) binding to human LRRK2 with nanomolar affinity. The invention thus reveals means and methods for a novel LRRK2 targeting approach through allosteric modulation of its activity for use in treatment of LRRK2-related pathologies, such as Parkinson's disease, as well as for use in detection of LRRK2 in vitro and in vivo, and for use as a diagnostic.

Abstract: Computer vision systems and methods for noisy contour alignment are provided. The system generates a loss function and trains a convolutional neural network with the loss function and a plurality of images of a dataset to learn to align contours with progressively increasing complex forward and backward transforms over increasing scales. The system can align an attribute of an image of the dataset by the trained neural network.

Abstract: This application relates to apparatus and methods for automatically servicing item data requests in data management systems, such as in retail management systems. The apparatus and methods employ a throttling technique to service data requests from one or more entities. In some examples, a computing device initializes assigns a counter for each entity, and initializes each counter with an initial value. The computing device also occasionally (e.g., periodically) resets each counter to the initial value. The computing device may receive a data request from one of the entities, and determines whether the counter corresponding to the entity identifies a count that is beyond a threshold. If the counter identifies a count beyond the threshold, the computing device adjusts the counter, and processes the data request. If the counter does not identify a count beyond the threshold, the computing device responds to the entity with an error.

Abstract: A messaging application provides a user interface displaying a user's threads, where each thread includes at least one message between the user and another user. Via the user interface, the user may select a thread to access messages in the thread or to add one or more messages to the thread. The messaging application also displays a sponsored content item along with the threads, but displays the sponsored content item below threads having unread messages to avoid reducing engagement with threads the user is likely to select. In some embodiments, the messaging application predicts a probability that displaying the sponsored content item above a thread including an unread message thread will cause the user not to engage with the thread and displays the sponsored content item above the thread including the unread message if the predicted probability is below a threshold.

Abstract: Systems and methods applicable to generating management decisions for online advertising. Machine learning models, including reinforcement learning-based machine learning models, can be utilized in making various advertising management decisions.

Abstract: Performance enhancement of face verification systems is credited due to advancement in deep learning methods. However, these systems fail to provide interpretations for decision makings despite their ability to attain high accuracy. Various post-hoc methods have been proposed due to increased demand of deep learning models for better interpretations. However, face verification systems are still prone to adversarial attacks. Present disclosure provides a face verification system and method which addresses the issue of interpretability by employing modular neural network(s), wherein representations for each individual facial feature such as nose, mouth, eyes, etc., are learned separately and verification of input face images is performed. Through experiments, present disclosure demonstrates that the method described herein is resistant to adversarial attacks, thereby addressing another crucial weakness concerning deep learning models.

Abstract: Computerized detection of one or more user interface objects is performed by processing an image file containing one or more user interface objects of a user interface generated by an application program. Sub-control objects can be detected in the image file, where each sub-control object can form a portion of a user interface object that receives user input. Extraneous sub-control objects can be detected. Sub-control objects that overlap with or that are within a predetermined vicinity of an identified set of sub-control objects can be removed. Sub-control objects in the identified set of sub-control objects can be correlated to combine one or more of the sub-control objects in the identified set of sub-control objects to generate control objects that correspond to certain of the user interface objects of the user interface generated by the application program.

Abstract: Methods, apparatuses, and systems are disclosed for reducing latency during IRAT re-selection in the presence of race conditions. When a UE initiates an IRAT re-selection procedure, and concurrently initiates a call setup procedure, a race condition may result, in which the UE's NAS layer prioritizes the call setup procedure, while the RRC layer prioritizes the IRAT re-selection procedure. This may result in failure of the call setup procedure, which may lead to a user needing to re-initiate the call, resulting in poor user experience and significant latency. To prevent this, the UE may cache a message and/or other information relevant to the call setup procedure, until the IRAT re-selection procedure is complete. The UE may then proceed to complete the call setup procedure. The message may be cached, e.g., at the NAS layer or the RRC layer of the cellular modem, or by an application processor.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. Accordingly the embodiments herein provides a method for handling a RAR in a wireless communication system (300).

Abstract: Embodiments determine mismatches in evaluations. Embodiments receive a first evaluation of an employee from a supervisor of the employee, the first evaluation including supervisor comment ratings and supervisor numerical ratings, each of the supervisor comment ratings and supervisor numerical ratings corresponding to an evaluation category. Embodiments receive a second evaluation of the employee from the employee, the second evaluation including employee comment ratings and employee numerical ratings, each of the employee comment ratings and employee numerical ratings corresponding to the evaluation category. Embodiments determine first sentiment polarity scores of the supervisor comment ratings and second sentiment polarity scores of the employee comment ratings.

Abstract: Disclosed herein are network appliances, methods, computer-readable media, and systems for aggregating network traffic statistics in a communication network. For example, the network appliance is to determine a plurality of network flow strings that are transmitted from the network appliance or received at the network appliance; extract a network metric of the plurality of network flow strings; aggregate values associated with the network metric over the plurality of network flow strings; generate an accumulating map, wherein the accumulating map comprises the values associated with the aggregated network metric; when a new network flow string is received, invoke an eviction policy on the new network flow string, wherein the eviction policy removes at least one of the plurality of network flow strings from the accumulating map; and transmit the accumulating map to a network information collector in communication with the network appliance.

Abstract: Questions play a central role in assessment of a candidate's expertise during an interview or examination. However, generating such questions from input text documents manually needs specialized expertise and experience. Further, techniques that are available for automated question generation require input sentence as well as an answer phrase in that sentence to generate question. This in-turn requires large training datasets consisting tuples of input sentence answer-phrase and the corresponding question. Additionally, training datasets are available are for general purpose text, but not for technical text. Present application provides systems and methods for generating technical questions from technical documents. The system extracts meta information and linguistic information of text data present in technical documents. The system then identifies relationships that exist in provided text data. The system further creates one or more graphs based on the identified relationships.

Abstract: State of art techniques mostly rely of computationally intensive, time consuming Neural Networks. Embodiments provide a method and system for identification and classification of different grain and adulterant types for grain grading analysis. The method analyzes input image of grain sample of elements to determine morphological features of elements, using dynamically determined calibration factor from reference object in the image. Variation in perimeter of elements is used to perform classification of elements into target grain size, low size adulterants and higher size adulterants. The aspect ratio of target grain determines grain variety and adulterants determine adulteration percentage. Elements are classified into grain colored and non-grain colored adulterants. Grain colored adulterants are further classified as Grain Like Impurities and non-GLI, using predefined ranges of standard deviation of perimeter metric.

Abstract: The present disclosure relates to the field of security systems and discloses a tamper detection device. The device (100) comprises at least one transducer (106,110), a power supply unit (114), a logical gate (112), a processing unit (104), and, a tamper tag 102). The transducer (106,110) generates a trigger signal upon detection of a tamper event. The logical gate (112) is operable in an open state or a closed state. The processing unit (104) generates a tamper detection signal for changing the state of the logical gate (112) upon receiving the trigger signal or upon detecting loss of power supply from the power supply unit (114). The change in state of logical gate (112) causes a tamper flag value stored in the tamper tag (102) to change, thereby indicating a tampered status to a reader scanning the tamper tag (102). The device (100) detects a tamper event even if the device (100) is not damaged/broken during tampering.

Abstract: An adjustable length strut includes two joints, a threaded rod extending between the joints, and a tube adapted to receive the threaded rod. An actuation mechanism with gear teeth extending radially outward of the strut axis is rotatably fixed to the threaded rod. A protrusion may be coupled to an end of the threaded rod by a rotatable collar, with the protrusion extending through a slot in the tube to mark the length of the strut. A modular attachment member may be adapted to be couple to the first joint and include a worm gear adapted to engage gear teeth of the actuation mechanism. The modular attachment member may include a radiofrequency identity tag mechanism adapted to be read by a tag reader of a tool, the tool adapted to couple to the attachment member to rotate the worm gear to increase or decrease the effective length of the strut.

Abstract: Aspects are described for a user equipment (UE) comprising a transceiver configured to enable wireless communication with a base station, and a processor communicatively coupled to the transceiver. The processor is configured to enter a radio resource control (RRC) inactive mode and camp on a first cell. The processor is further configured to detect an out of service (OOS) status and set a RAN-based notification area (RNA) parameter, wherein the UE refrains from discarding an access stratum (AS) inactive context based on the RNA parameter. The processor is further configured to camp on a second cell and transmit a message to the base station to report an RNA update responsive to camping on the second cell.