Abstract: A method, computer program product, and computing system for processing a plurality of input/output (IO) requests for a storage object of a storage system. A sampling interval may be determined or the plurality of IO requests for the storage object. The plurality of IO requests may be sampled using the determined sampling interval. The plurality of sampled IO requests may be processed using a machine learning model.

Abstract: A method, computer program product, and computing system for processing a plurality of input/output (IO) requests associated with a plurality of storage objects of a storage system. A plurality of IO features may be generated using the plurality of IO requests including one or more of: a percentage of overwrite IO requests, a percentage of sequential read IO requests, and a percentage of sequential write IO requests. The plurality of IO features may be processed using a machine learning model. A ransomware attack may be monitored for on the storage system in real-time based upon, at least in part, the processing of the plurality of IO features using the machine learning model.

Abstract: A method for wireless communication by a first user equipment (UE) includes receiving, from a second UE, a codec mode request (CMR) for a new bit rate. The method also includes transmitting, to a network device, a recommended bit rate (RBR) query in response to the new bit rate exceeding a current bit rate. The method still further includes communicating with the second UE using the new bit rate or the current bit rate. A method of wireless communication by a network device includes transmitting, to an originating UE, an RBR for a new bit rate. The method also includes receiving, from a terminating UE, an RBR query in response to the new bit rate exceeding a current bit rate. The method further includes transmitting, to the terminating UE, a response to the RBR query.

Abstract: A method, computer program product, and computing system for processing a plurality of input/output (IO) requests associated with a plurality of storage objects of a storage system. A plurality of IO features are generated using the plurality of IO requests. The plurality of IO features are processed using a machine learning model. A ransomware attack on the storage system may be monitored for in real-time based upon, at least in part, the processing of the plurality of IO features using the machine learning model.

Abstract: Electrode films utilizing cathode or anode active materials, such as cathode electrode films utilizing carbon monofluoride (CFx) or MnO2 as the cathode active material, and/or including a surfactant are described. The electrode film may utilize binders including acrylated polyurethane resins, hydroxy modified acrylated polyurethane resins, acrylate-methacrylate monomer blends, monoacrylate of mono-ethoxylated phenols, celluloses, trimethylolpropane ethoxy triacrylate (TMPEOTA), polytetrafluoroethylene (PTFE), polyolefins, polyalkylenes, polyethers, styrene-butadiene, co-polymers of polysiloxanes, polysiloxanes, branched polyethers, polyvinylethers, co-polymers thereof, and combinations thereof. The electrode film may further include additives. The electrode films may be electron beam cured.

Abstract: State of the art systems used for industrial plant monitoring have the disadvantage that they fail to correctly assess reason for dip in performance of the plant and in turn trigger appropriate corrective measures. The disclosure herein generally relates to industrial plant monitoring, and, more particularly, to a system and method for development and deployment of self-organizing cyber-physical systems for manufacturing industries. The system monitors and collects data with respect to various parameters, from the industrial plant. If any performance dip is detected, the system determines corresponding cause, and also triggers one or more corrective actions to improve performance of the plant and different plant components to a desired performance level.

Abstract: Disclosed are compositions, devices, systems and fabrication methods for stretchable composite materials and stretchable electronics devices. In some aspects, an elastic composite material for a stretchable electronics device includes a first material having a particular electrical, mechanical or optical property; and a multi-block copolymer configured to form a hyperelastic binder that creates contact between the first material and the multi-block copolymer, in which the elastic composite material is structured to stretch at least 500% in at least one direction of the material and to exhibit the particular electrical, mechanical or optical property imparted from the first material. In some aspects, the stretchable electronics device includes a stretchable battery, biofuel cell, sensor, supercapacitor or other device able to be mounted to skin, clothing or other surface of a user or object.

Abstract: State-of-the-art systems used for plant monitoring and optimization fail to efficiently monitor and improve the performance of blast furnace ironmaking plants due to complexity of such plants. In addition, they attempt optimization without considering the operational stability of the blast furnace. The disclosure herein generally relates to industrial plant monitoring, and, more particularly, to a method and system for ironmaking plant optimization. The system determines an operational stability of the plant in terms of value of a determined Blast Furnace Stability Index (BFSI). Further, if the BFSI or one or more Key Performance Indicators (KPIs) of the plant deviates from corresponding threshold, then the optimization is done.

Abstract: The present disclosure describes energy storage (e.g., electrochemical) devices with customized architectures. Such customized architectures include multilayered electrode films and/or multidimensional electrode films.

Abstract: Systems and methods for scraping detection include a device which receives a plurality of requests from a client to extract data from a resource. The device may classify activity of the client as activity of an autonomous program based at least on a number of the plurality of requests, and one of i) one or more content types of the requests, or ii) a frequency in which the requests are received. The device may block, responsive to classification of the activity, a subsequent request from the client to extract data from the resource.

Abstract: This disclosure relates generally to for time lag identification in an industry. The disclosure proposes to monitor an industry continuously at real time to identify one or more parameters from plurality of sources (processes/units/plants) and a time delay or delayed performance or functional impact the identified parameter has on a plurality of Key Performance Indicator (KPI). The proposed time lag identification is performed using one-time lag identification from the proposed plurality of time lag identification techniques that include an individual time lag identification technique, a group-wise time lag identification technique and group-wise/individual time lag identification technique. Further the time lag identification is performed based on domain knowledge as well as data driven techniques.

Abstract: This disclosure relates generally to identification and analysis of regime shift. The identification and analysis of the regime shift includes regime shift identification (RSI), root cause analysis of the identified regime shift and a recommendation unit to rectify the identified regime shift. The disclosure proposes to monitor a system continuously to identify a regime shift at real-time as presence of regime shifts in any system decreases quality of process and products and makes the system less efficient. The regime shift is identified at real-time based on key performance indicators (KPIs), a set of relevant features and real time input data using machine learning techniques. Further the disclosure also proposes techniques for detecting at least one root cause for the identified regime shift and also recommends a rectification action to rectify the identified regime shift based on optimization techniques.

Abstract: In an industrial plant, various equipment are used to handle processing of raw materials. Considering complexities involved in the processes and the equipment, constant monitoring is required to obtain desired results. The disclosure herein generally relates to industrial process and equipment monitoring, and, more particularly, to data analysis for Just In Time (JIT) characterization of raw materials in any process industry. The system collects real-time plant data among other inputs, and performs characterization of raw materials being used in the plant. The characterization involves categorizing the raw materials into different classes. The class information is further used to predict performance of the industrial plant, and in turn to generate recommendations for optimization of the industrial plant.

Abstract: In traditional systems, every time a digital twin of a component needs to be generated, behavioral as well as operational data specific to the component needs to be fetched, which has practical difficulties owing to complex nature of processes/equipment the component is associated with. The disclosure herein generally relates to building digital twins, and, more particularly, to a method and system for building digital twin by leveraging existing knowledge. The system determines extent of similarity between two components, and based on the determined extent of similarity, uses different approaches to retrain a ANN data-driven model to obtain a desired accuracy for features of the component for which the digital twin is being generated.

Abstract: Energy storage device assemblies comprising shaped energy storage devices (e.g., a sticker battery) and adhesive layers are disclosed. The adhesive layer may include a mounting adhesive, and may further include a conductive adhesive. The energy storage device assemblies may be mounted onto and electrically connected to a device in need of an energy storage device. Methods of fabrication and methods of use thereof are also disclosed.

Abstract: State of the art techniques used for Flue Gas Desulpharization (FGD) process monitoring fail to comprehend the relationship between various process parameters, which is crucial in determining the performance of a FGD process being monitored. The disclosure herein generally relates to industrial process monitoring, and, more particularly, to a method and system for performance optimization of Flue Gas Desulphurization (FGD) Unit. The system identifies Key Performance Indicators (KPIs) associated with the process being monitored, and identifies parameters associated with each KPI. This information is used to generate several predictive models, from which a predictive model having the highest value of composite model score amongst the predictive models is selected as the predictive model for processing the input data, which is then used to perform optimization of the FGD process.

Abstract: Pulverizers are very critical equipment in overall functioning of a plant. They need to be controlled and monitored properly for the optimized operation of the pulverizers. A system and method for performance and health monitoring to optimize operation of a pulverizer is provided. The system comprises a digital twin that can mimic the performance of the pulverizer in real-time and assist the operators in decision making related to operation, maintenance and scheduling. The digital twin is configured to receives real-time sensor data from a plurality of data sources and provides real-time soft sensing of key health and performance parameters of the pulverizer. One more key aspect of the solution is the advisory system that alerts and recommends corrective actions in terms of parameters controlled through other equipment or changes in operation or design or changes in cleaning schedule.

Abstract: This disclosure relates to a method and system for adaptive learning of physics-based models, data-driven models and hybrid models used in an industrial manufacturing plant. A model-based optimization and advisory device (MOAD) is configured for monitoring performance of data-driven and physics-based models of industrial process units in real-time, computing model quality index for models, triggering adaptive learning of these models and in case of drift in predictions, diagnosing the reasons for drift in predictions. Suggesting re-tuning, re-building, and recreating of the models to achieve highest prediction quality, and automatic deployment of latest models.

Abstract: An electronic wearable patch for medical uses is an apparatus for medical monitoring, medication management or patient compliance, wellness management, prevention, or other medical uses. The apparatus includes a controller, at least one sensing module, a wireless communication module, a flexible energy-storage module, a flexible printed circuit board (PCB), and a flexible adhesive. The controller manages and controls the at least one sensing module and the wireless communication module. The at least one sensing module collects raw data. The wireless communication module sends the raw data to an external computing device, which processes the raw data into useable medical data. The flexible energy-storage module electrically powers the electronic componentry of the apparatus. The flexible PCB allows for the electronic connections between the controller, the at least one sensing module, and the wireless communication module. The flexible adhesive attaches the apparatus to a user's skin.

Abstract: Disclosed are compositions, devices, systems and fabrication methods for stretchable composite materials and stretchable electronics devices. In some aspects, an elastic composite material for a stretchable electronics device includes a first material having a particular electrical, mechanical or optical property; and a multi-block copolymer configured to form a hyperelastic binder that creates contact between the first material and the multi-block copolymer, in which the elastic composite material is structured to stretch at least 500% in at least one direction of the material and to exhibit the particular electrical, mechanical or optical property imparted from the first material. In some aspects, the stretchable electronics device includes a stretchable battery, biofuel cell, sensor, supercapacitor or other device able to be mounted to skin, clothing or other surface of a user or object.