Abstract: A power-distribution routing system of a power-transmission company receives a request to route electrical power to users through a power-grid infrastructure during a specified future period of time. The system retrieves time-stamped blockchain data that identifies past fluctuations in energy demand, service agreements between energy companies, and energy-production and demand-fulfilment histories of energy-generating sources like power plants. The system also retrieves extrinsic contextual and socioeconomic data from online sources and various business applications. An artificially intelligent cognitive framework uses a sliding-frame mechanism to infer patterns in the rate of change of user demand during past time periods similar to the period specified by the request. The system ranks each source by its demonstrated ability to satisfy the patterns of demand in consideration of the contextual data.

Abstract: A User Interface (UI) interface object detection system employs an initial dataset comprising a set of images, that may include synthesized images, to train a Machine Learning (ML) engine to generate an initial trained model. A data point generator is employed to generate an updated synthesized image set which is used to further train the ML engine. The data point generator may employ images generated by an application program as a reference by which to generate the updated synthesized image set. The images generated by the application program may be tagged in advance. Alternatively, or in addition, the images generated by the application program may be captured dynamically by a user using the application program.

Abstract: In one embodiment, a method includes mapping micro-service network interfaces in a service network to service engine network interfaces for connecting micro-services to external endpoints, transmitting a request for communication with one of the external endpoints from one of the micro-services to a service broker operable to select one of the micro-service network interfaces for the communication with the external endpoint, and receiving a response from the service broker with the selected micro-service network interface. The service broker dynamically selects a service path for the communication based on a policy and independent from default network routes.

Abstract: The invention provides stable pharmaceutical formulation comprising a protein drug conjugate along with one or more suitable excipient(s) such that the formulation is devoid of any buffer components and methods of making the same. The protein drug conjugate according to the present invention is antibody drug conjugate, preferably trastuzumab maytansinoid conjugate. Suitable excipient(s) according to the present invention is selected from suitable bulking agents, suitable tonicity modifiers, suitable stabilizers and the like.

Abstract: A service provider system may provision virtualized computing resources to implement a virtual desktop instance. An interactivity agent installed on the virtual desktop instance may collect data representing interactions between a user and various input devices (e.g. a keyboard or mouse) that are associated with the execution of various desktop applications, and may provide the interactivity data to a desktop application preferences service implemented in the service provider system. The desktop application preferences service may, based on the interactivity data, characterize the usage of the desktop applications and their targets (e.g., documents) to determine which applications and targets are likely to be used during subsequent virtual desktop sessions (e.g., those used most or most recently).

Abstract: A method, an apparatus, a computer-program product and a system for transmission of data packets are disclosed. A communication link between a first device and a second device is established in accordance with a transmission control protocol for transmission of a data packet between the first device and the second device. The communication link is monitored during transmission of the data packet from the second device to the first device. Based on the monitoring, at least a portion of a bandwidth available for transmission of an acknowledgement from the second device to the first device is adjusted. The acknowledgement indicates receipt of the data packet performing by the second device.

Abstract: A system and associated method provides a visualization of a life cycle of a trade order. The visualization may be in the form of a tree structure with a plurality of linked nodes. Each node may be associated with an event that occurs during the life cycle of the trade. A monitoring system receives information associated with a plurality of events associated with the trade order, generates a plurality of nodes based on the received information, stores identifiers associated with each of the plurality of nodes, and links the plurality of nodes based on the identifiers to create the tree structure. The monitoring system also performs a verification process to determine whether the visualization is missing information or includes incorrect information and alerts to a discrepancy identified during the verification process.

Abstract: Disclosed herein are systems and methods for scalable and secure transmission of multicast data over a public communication network. In exemplary embodiments of the present disclosure, a virtual overlay network can be presented as a single virtual interface to a computing device, for the receipt and transfer of multicast data in a secure and scalable manner across a public insecure communication network.

Abstract: Contextual spelling methods and systems are provided that utilize natural language processing and n-gram frequencies to group documents into logical groups and to provide spelling correction suggestions. For example, a contextual spelling correction system may receive a set of documents, group the documents into separate logical groups, generate dictionaries associated with the logical groups, receive a user input, determine scores for potential spelling correction suggestions regarding the user input, and provide spelling correction suggestions based at least partly on the dictionaries associated with the logical groups.

Abstract: A computer process including receiving first patient bone data of a patient leg and foot in a first pose, the first pose comprising a position and orientation of the patient leg relative to the patient foot as defined in the first patient bone data. The computer process may further include receiving second patient bone data of the patient leg and foot in a second pose, the second pose comprising a position and orientation of the patient leg relative to the patient foot as defined in the second patient bone data. The computer process may further include generating a 3D bone model of the patient leg and foot. Finally, the computer process may include modifying the 3D bone model of the patient leg and foot such that the plurality of 3D bone models are reoriented into a third pose that matches the second pose.

Abstract: The embodiments herein disclose methods and systems for switching between a macro and a non-macro sensing mode for capturing macro and non-macro media in real-time. A method for controlling an electronic device may include acquiring at least one frame; identifying an operation mode of the electronic device among a macro sensing mode and non-macro sensing mode based on at least one of focus data and blur data of the at least one frame; and acquiring at least one image by using an image sensor, from among a plurality of image sensors of the electronic device, corresponding to the operation mode.

Abstract: A dialogue intent analyzer uses a conversation between a user and agent, and intents in the conversation to predict a set of answers that better respond to pending user question. The dialogue intent analyzer understands the context surrounding the pending question by capturing and modeling prior conversation and intents within the conversation. Dialogue intent analyzer also reduces genericness in predicted answers by weighting previously used answers based on their frequency and length. Dialogue intent analyzer also increases diversity of predicted answers by using a diverse beam search.

Abstract: Disclosed herein are external fixation frames for correcting bone deformities. The external fixation frames include a top fixation ring and a bottom fixation ring coupled to one another by at least two struts. A half ring is coupled to bottom fixation ring. The bottom fixation ring is u-shaped. One or more rocker members may be coupled to the bottom fixation ring. The half ring may be hingedly coupled to the bottom fixation ring such that it can rotate with respect to the bottom fixation ring from a first position to a second position.

Abstract: A battery protector includes analog frontend circuitry coupled to a hibernate mode input terminal that is one of configured to couple to a high voltage connector terminal when the system is connected to an external load or charger to define an active mode and configured to float when the system is disconnected from the external load or charger to define a hibernate mode. The analog frontend circuitry is configured to provide a signal at an output thereof to distinguish, in the absence of an external ground connection, between connected and floating conditions for the hibernate mode input terminal. Digital logic is coupled with the output of the analog frontend circuitry, the digital logic providing a digital signal to control whether the battery protector is operating in the active mode or the hibernate mode based on the signal at the output of the analog frontend circuitry.

Abstract: Systems and methods for expert-assisted classification are described herein. An example method for evaluating an expert-assisted classifier can include providing a cascade classifier including a plurality of classifier stages; and providing a simulated expert stage between at least two of the classifier stages. The simulated expert stage can be configured to validate or contradict an output of one of the at least two classifier stages. The method can also include classifying each of a plurality of records into one of a plurality of categories using the cascade classifier combined with the simulated expert stage; and determining whether the simulated expert stage improves performance of the cascade classifier.

Abstract: This disclosure relates generally to a method and a system for extraction of key-terms and synonyms for the key-terms. The method discloses to extract the key-terms and further determine a set of relevant synonyms for the extracted key-terms, wherein the key-terms is a collection of small sub-set of words and phrases which are individually meaningful and collectively provide a generic context of a given input text. The method discloses techniques for extraction of key-terms that is independent of any specific supervised training, does not require a huge amount of training data and computationally less intensive. The key-terms are determined in several stages using frequency based techniques based on a relevancy scoring of the key-terms. Further a set of synonyms are determined for the identified key-terms based on a language-based approach or domain specific approach.

Abstract: A method of estimating a maximum specific capacity of a composite electrode includes generating open circuit potential (OCP) crossover characteristics of the composite electrode comprising silicon and natural graphite, determining a composite electrode lithiation limit of the composite electrode based on a silicon lithiation limit of the silicon, predicting a composite electrode composition of the composite electrode based on the composite electrode lithiation limit, and estimating the maximum specific capacity of the composite electrode based on the composite electrode composition.

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. Embodiments herein disclose a method for performing random access channel procedure by a UE (300). The method includes determining a first measurement metric value and a second measurement metric value for one of a plurality of SSBs and a plurality of CSI-RSs. The method includes selecting one of a first set of SSBs and a first set of CSI-RSs from one of the plurality of SSBs and the plurality of CSI-RSs based on the first measurement metric.

Abstract: The present disclosure relates to identifying azimuth error and determining an azimuth of an antenna installed in a cell of a cellular network. In a preferred embodiment, the network entity receives a plurality of transmission parameters basis to which the network entity identifies a target cell. The network entity further divides angular region of the cell serving the target cell into a plurality of cones out of which a target cone is identified by the network entity. The network entity then performs first iteration yielding a first azimuth, and in an event of an azimuth error in the first azimuth, the network entity performs second iteration yielding a second azimuth. The present disclosure also encompasses predicting an optimum azimuth of said antenna in an event of azimuth error/s in the first azimuth and the second azimuth.

Abstract: A computational instance of a remote network management platform may be dedicated to a managed network that has access to computing resources of one or more remote networks. One or more server devices may be disposed within the computational instance and may cause a cloud service catalog software application to: (i) obtain a selection of a catalog item, where the catalog item defines prospective computing resources that provide a computing function, and where the selection includes a set of variables that associate the prospective computing resources with the one or more remote networks and determine configuration details for the prospective computing resources, (ii) populate a template representation with the variables, (iii) transmit the template representation to a server configured to identify target computing resources of the one or more remote networks and provision the target computing resources, and (iv) receive identification information related to the target computing resources.