Patents Assigned to Strong Force VCN Portfolio 2019, LLC
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Publication number: 20220058569Abstract: A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.Type: ApplicationFiled: August 30, 2021Publication date: February 24, 2022Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Charles Howard CELLA, Richard SPITZ, Teymour S. EL-TAHRY, Andrew CARDNO, Jenna PARENTI, Brent BLIVEN, Joshua DOBROWITSKY
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Publication number: 20220051361Abstract: A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.Type: ApplicationFiled: August 30, 2021Publication date: February 17, 2022Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Charles Howard CELLA, Richard SPITZ, Teymour S. EL-TAHRY, Andrew CARDNO, Jenna PARENTI, Brent BLIVEN, Joshua DOBROWITSKY
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Publication number: 20220051184Abstract: A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.Type: ApplicationFiled: August 30, 2021Publication date: February 17, 2022Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Charles Howard CELLA, Richard SPITZ, Teymour S. EL-TAHRY, Andrew CARDNO, Jenna PARENTI, Brent BLIVEN, Joshua DOBROWITSKY
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Publication number: 20220051171Abstract: A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.Type: ApplicationFiled: August 30, 2021Publication date: February 17, 2022Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Charles Howard CELLA, Richard SPITZ, Teymour S. EL-TAHRY, Andrew CARDNO, Jenna PARENTI, Brent BLIVEN, Joshua DOBROWITSKY
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Publication number: 20220044204Abstract: A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.Type: ApplicationFiled: August 30, 2021Publication date: February 10, 2022Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Charles Howard CELLA, Richard SPITZ, Teymour S. EL-TAHRY, Andrew CARDNO, Jenna PARENTI, Brent BLIVEN, Joshua DOBROWITSKY
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Publication number: 20220035342Abstract: A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.Type: ApplicationFiled: August 30, 2021Publication date: February 3, 2022Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Charles Howard CELLA, Richard SPITZ, Teymour S. EL-TAHRY
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Publication number: 20220036301Abstract: A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.Type: ApplicationFiled: August 30, 2021Publication date: February 3, 2022Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Charles Howard CELLA, Richard SPITZ, Teymour S. EL-TAHRY, Andrew CARDNO, Jenna PARENTI, Brent BLIVEN, Joshua DOBROWITSKY
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Publication number: 20220036276Abstract: A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.Type: ApplicationFiled: August 30, 2021Publication date: February 3, 2022Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Charles Howard CELLA, Richard SPITZ, Teymour S. EL-TAHRY
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Publication number: 20220036302Abstract: A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.Type: ApplicationFiled: August 30, 2021Publication date: February 3, 2022Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Charles Howard CELLA, Richard SPITZ, Teymour S. EL-TAHRY
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Publication number: 20220035341Abstract: A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.Type: ApplicationFiled: August 30, 2021Publication date: February 3, 2022Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Charles Howard CELLA, Richard SPITZ, Teymour S. EL-TAHRY
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Publication number: 20220036275Abstract: A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.Type: ApplicationFiled: August 30, 2021Publication date: February 3, 2022Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Charles Howard CELLA, Richard SPITZ, Teymour S. EL-TAHRY, Andrew CARDNO, Jenna PARENTI, Brent BLIVEN, Joshua DOBROWITSKY
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Publication number: 20220036274Abstract: A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.Type: ApplicationFiled: August 30, 2021Publication date: February 3, 2022Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Charles Howard CELLA, Richard SPITZ, Teymour S. EL-TAHRY
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Publication number: 20210405173Abstract: A sensor system for determining occupancy in a space generally includes a transmitter radio device that transmits radio signals over a channel in the space; a receiver radio device that receives the transmitted radio signals that have traveled through the space; and at least one processor implementing an occupancy-centric algorithm that determines occupancy in the space based on the radio signals. The at least one processor determines channel state information based on the radio signals transmitted over the channel, determines occupancy in the space based on the channel state information, and outputs an occupancy signal based on the determined occupancy.Type: ApplicationFiled: July 8, 2021Publication date: December 30, 2021Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Stephen Paul Elias, Eric Roger Giler, Katherine Lavin Hall, Charles Howard Cella
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Publication number: 20210364615Abstract: A sensor system for determining occupancy in a space generally includes a transmitter radio device that transmits radio signals over a channel in the space; a receiver radio device that receives the transmitted radio signals that have traveled through the space; and at least one processor implementing an occupancy-centric algorithm that determines occupancy in the space based on the radio signals. The at least one processor determines channel state information based on the radio signals transmitted over the channel, determines occupancy in the space based on the channel state information, and outputs an occupancy signal based on the determined occupancy.Type: ApplicationFiled: May 27, 2021Publication date: November 25, 2021Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Stephen Paul Elias, Eric Roger Giler, Katherine Lavin Hall, Charles Howard Cella
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Publication number: 20210356575Abstract: A sensor system for determining occupancy in a space generally includes a transmitter radio device that transmits radio signals over a channel in the space; a receiver radio device that receives the transmitted radio signals that have traveled through the space; and at least one processor implementing an occupancy-centric algorithm that determines occupancy in the space based on the radio signals. The at least one processor determines channel state information based on the radio signals transmitted over the channel, determines occupancy in the space based on the channel state information, and outputs an occupancy signal based on the determined occupancy.Type: ApplicationFiled: May 27, 2021Publication date: November 18, 2021Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Stephen Paul Elias, Eric Roger Giler, Katherine Lavin Hall, Charles Howard Cella
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Publication number: 20210357838Abstract: A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.Type: ApplicationFiled: May 28, 2021Publication date: November 18, 2021Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Charles Howard CELLA, Richard SPITZ, Andrew CARDNO, Jenna PARENTI, Brent BLIVEN, Joshua DOBROWITSKY
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Publication number: 20210357823Abstract: A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.Type: ApplicationFiled: May 28, 2021Publication date: November 18, 2021Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Charles Howard CELLA, Richard SPITZ, Andrew CARDNO, Jenna PARENTI, Brent BLIVEN, Joshua DOBROWITSKY
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Publication number: 20210356576Abstract: A sensor system for determining occupancy in a space generally includes a transmitter radio device that transmits radio signals over a channel in the space; a receiver radio device that receives the transmitted radio signals that have traveled through the space; and at least one processor implementing an occupancy-centric algorithm that determines occupancy in the space based on the radio signals. The at least one processor determines channel state information based on the radio signals transmitted over the channel, determines occupancy in the space based on the channel state information, and outputs an occupancy signal based on the determined occupancy.Type: ApplicationFiled: May 27, 2021Publication date: November 18, 2021Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Stephen Paul Elias, Eric Roger Giler, Katherine Lavin Hall, Charles Howard Cella
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Publication number: 20210357850Abstract: A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.Type: ApplicationFiled: May 28, 2021Publication date: November 18, 2021Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Charles Howard CELLA, Richard SPITZ, Andrew CARDNO, Jenna PARENTI, Brent BLIVEN, Joshua DOBROWITSKY
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Publication number: 20210357959Abstract: A value chain system that provides recommendations for designing a logistics system generally includes a machine learning system that trains machine-learned models that output logistics design recommendations based on training data sets that each respectively defines one or more features of a respective logistic system and an outcome relating to the respective logistics system; an artificial intelligence system that receives a request for a logistics system design recommendation and determines the logistics system design recommendation based on one or more of the machine-learned models and the request; and a digital twin system that generates an environment digital twin of a logistics environment that incorporates the logistics system design recommendation, and one or more physical asset digital twins of physical assets. The digital twin system executes a simulation based on the logistics environment digital twin, the one or more physical asset digital twins.Type: ApplicationFiled: May 28, 2021Publication date: November 18, 2021Applicant: STRONG FORCE VCN PORTFOLIO 2019, LLCInventors: Charles Howard CELLA, Richard SPITZ, Andrew CARDNO, Jenna PARENTI, Brent BLIVEN, Joshua DOBROWITSKY