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公开(公告)号:US12130845B2
公开(公告)日:2024-10-29
申请号:US18153192
申请日:2023-01-11
发明人: Advaita Abhijit Datar , Amey Zare , Asia Akhtar , Venkatesh Ramanathan , Shrawan Kumar , Ulka Aniruddha Shrotri , Suresh Bhaskaramurthy , Punyakoti Sathish , Kannan Dhanasekaran
CPC分类号: G06F16/288 , G06F40/18
摘要: The present invention generally relates to the field of automated functional testing, and, more particularly, to a method and system for validation of calculation code against calculation specification. Currently the validation is done manually which is time consuming and effort intensive. Embodiments of present disclosure provide an automated method of validation by generating a schema from the calculation specification, retrieving data based on the schema, executing the intermediate calculations, and comparing the result with the output from the calculation code. The method requires minimal manual input and is a fast, simple, resilient and low-code/no-code technique that can be extended to support any type of calculation code and calculation specifications with minimal or no change.
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2.
公开(公告)号:US20240355443A1
公开(公告)日:2024-10-24
申请号:US18602287
申请日:2024-03-12
发明人: Tungadri BOSE , Harrisham KAUR , Rashmi SINGH , Anirban DUTTA , Mohammed Monzoorul HAQUE , Sharmila Shekhar MANDE
摘要: The present disclosure is related to a method and system for stratification of subjects as one of responders or non-responders to a therapy. It is imperative to critically evaluate the baseline/initial microbiome structure and composition of individuals and stratifying them before prescribing any microbiome-based drug/dietary interventions. The method identifies a panel of biological features/indicators/markers/signatures that can accurately stratify/classify/group individuals into responders and non-responders (for a given microbiome-based drug/therapy) based upon the differences in the metabolic functions of the gut microbial communities between the baseline gut microbiome profile (i.e. before the administration of an intervention) and after treatment gut microbiome profile (i.e. after the administration of the intervention). Individuals with samples showing an improvement in gut-health status after the administration of the pre-biotic intervention were tagged as responders and the rest were tagged as non-responders.
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3.
公开(公告)号:US20240346438A1
公开(公告)日:2024-10-17
申请号:US18603014
申请日:2024-03-12
IPC分类号: G06Q10/087 , G06Q30/0202
CPC分类号: G06Q10/087 , G06Q30/0202
摘要: Retail stores have limited visibility of on shelf inventory. Conventional approaches for targeted replenishment are reactive in nature and are also infrastructure and labor heavy. Present disclosure provides systems and methods for identification and replenishment of targeted items on shelves of stores wherein input data pertaining to sales of items is pre-processed and stock keeping unit (SKU) wise optimal bucket size is determined for predicting sales events for individual SKU based on historical events. Top-up requests are generated for each SKU for the planning bucket sizes and further a pick-up list using smart batching of the top-up requests is created based on SKU priorities. The pick-up list and top-up requests are executed to ensure items are topped up at the right time. Further, rate of sales or forecast the rate of sales are continually monitored throughout the day to ensure items are identified for targeted replenishment in retail stores.
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4.
公开(公告)号:US20240345570A1
公开(公告)日:2024-10-17
申请号:US18426152
申请日:2024-01-29
IPC分类号: G05B19/418
CPC分类号: G05B19/41885
摘要: This disclosure relates generally to systems and methods for monitoring and controlling a manufacturing process using contextual hybrid digital twin. Data pertaining to the manufacturing process is obtained from a plurality of data generation sources which is further inputted to one or more physics based models and train machine learning models such that simulated data and real time tata is obtained. Further, a gap between the simulated data and the real time data is determined and learnt. The learnt gap is further minimized and an augmented set of models are obtained. The augmented set of models along with a set of soft-sensing data is used to create the contextual hybrid digital twin for the manufacturing process. The performance of the manufacturing process is monitored and controlled using a performance analytics and decision making enablers of the contextual hybrid digital twin respectively in real time.
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公开(公告)号:US12111620B2
公开(公告)日:2024-10-08
申请号:US17029788
申请日:2020-09-23
CPC分类号: G05B13/027 , F24F11/62 , G05B15/02 , G06N3/088
摘要: Reinforcement Learning agent interacting with a real-world building to determine optimal policy may not be viable due to comfort constraints. Embodiments of the present disclosure provide multi-deep agent RL for dynamically controlling electrical equipment in buildings, wherein a simulation model is generated using design specification of (i) controllable electrical equipment (or subsystem) and (ii) building. Each RL agent is trained using simulation model and deployed in the subsystem. Reward function for each subsystem includes some portion of reward from other subsystem(s). Based on reward function of each RL agent, each RL agent learns an optimal control parameter during execution of RL agent in subsystem. Further, a global optimal control parameter list is generated using the optimal control parameter. The control parameters in the global optimal control parameters list are fine-tuned to improve subsystem's performance. Information on fine-tuning parameters of the subsystem and reward function are used for training RL agents.
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6.
公开(公告)号:US20240330787A1
公开(公告)日:2024-10-03
申请号:US18493639
申请日:2023-10-24
摘要: State of the art approaches for training chained neural network models for delay prediction train the data models using only real data and not predicted data. Such models when used in a chained way leads to worse results as they are not exposed to predicted data during training. This leads to the model prediction errors showing sharp increase as the models tries to predict for subsequent stations past the immediate station. Embodiments disclosed herein provide a method and system for training of chained neural networks for delay prediction in transit networks. In this approach, a chained neural network model used by the system is trained such that data containing a mix of real data and predicted data is used for training each data model in a sequence of data models in the chained neural network model.
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公开(公告)号:US12103794B2
公开(公告)日:2024-10-01
申请号:US18093514
申请日:2023-01-05
发明人: Venkatesh Prasad Bangalore Srinivas , Pradeep Prabhakar Kamble , Maybin Michael , Vineeth Ramanath Kamath
CPC分类号: B65G65/02 , B65G1/0428 , B65G1/0435 , B65G1/0485 , B65G1/06 , B65G15/28 , B66F9/063
摘要: Storage and retrieval systems demand time and space efficient approaches. Embodiments herein provide a storage system with guided plate based lifting apparatus for payload loading-unloading on storage rack. The system deploys an Automated Guided Vehicle/Autonomous Mobile Robot (AGV/AMR) mounted with multiple lifting apparatuses in between two adjacent storage racks. The racks are modified with guide plates having entry cutouts for horizontal movements and entry guides for vertical movement of lifting apparatus. Ramp provided in the guide plates at the bottom of racks ensures there is enough clearance for lifting apparatus to go inside an aisle and have smooth vertical lifting. Wheel retention mechanism guides the vertical lifting maintaining required clearance. A conveyor belt mechanism mounted to base plate of lifting apparatus consists of geared rotary motor for conveyor belt that has a forward and backward movement, enabling the lifting apparatus to load/unload the payload inside/outside the racks.
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公开(公告)号:US12102941B2
公开(公告)日:2024-10-01
申请号:US17383117
申请日:2021-07-22
发明人: Venkataramana Runkana , Venkata Sudheendra Buddhiraju , Aditya Pareek , Vishnu Swaroopji Masampally , Karundev Premraj
CPC分类号: B01D15/3809 , B01D15/1885 , C07K1/16 , C07K1/36 , G01N30/466
摘要: The disclosure generally relates to methods and systems for determining multi-column chromatography process configuration for capturing antibodies. Conventional approaches for design of MCC configuration are limited to rule based, either driven by UV spectroscopic measurements or by performing number of experiments, which involves a lot of material costs and time utilization. The present disclosure solves the technical problem of identifying the operational conditions that optimized the MCC process and the MCC configuration. A multi-objective optimization function defined with one or more decision variables associated with the operating conditions is considered to determine the optimal MCC configuration, while satisfying purification goals. The one or more key performance measures of the MCC process comprises a productivity, a capacity utilization, a product yield, and a product purity. The significant amount of time and the material cost invested for designing the optimum MCC configuration is decreased by the present disclosure.
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公开(公告)号:US20240319735A1
公开(公告)日:2024-09-26
申请号:US18417504
申请日:2024-01-19
发明人: Arup Kumar SADHU , Lokesh KUMAR , Ranjan DASGUPTA , Mohit LUDHIYANI , Titas BERA
CPC分类号: G05D1/229 , G05D1/2469 , G05D2101/15
摘要: In conventional robot navigation techniques learning and planning algorithms act independently without guiding each other simultaneously. A method and system for robotic navigation with simultaneous local path planning and learning is disclosed. The method discloses an approach to learn and plan simultaneously by assisting each other and improve the overall system performance. The planner acts as an actuator and helps to balance exploration and exploitation in the learning algorithm. The synergy between dynamic window approach (DWA) as a planning algorithm and a disclosed Next best Q-learning (NBQ) as a learning algorithm offers an efficient local planning algorithm. Unlike the traditional Q-learning, dimension of Q-tree in the NBQ is dynamic and does not require to define a priori.
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10.
公开(公告)号:US12099822B2
公开(公告)日:2024-09-24
申请号:US17949390
申请日:2022-09-21
发明人: Anushri Jana , Ankita Shamrao Khadsare , Vaidehi Manoj Ghime , Ramanathan Venkatesh , Bharti Chimdyalwar , Shrawan Kumar
摘要: This disclosure relates generally to method and system for identifying static analysis alarms based on semantics of changed source code. The disclosed technique is integrated in the proprietary static analysis tool that identifies semantics of the change and reports only impacted alarms. The method receives source code and a property over variables to be verified for identifying one or more impacted alarms. Further, an incremental analysis based on the one or more change program points are performed to mark one or more impacted functions in the current version of the source code and then generating a data flow analysis (DFA) and a program dependence graph (PDG) for the one or more impacted functions. Further, a change-based alarm identification technique is utilized for the one or more impacted static analysis alarms from the one or more impacted functions in the current version of source code based on semantics of change.
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