Patents by Inventor Bong Kyun Ryu
Bong Kyun Ryu has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10805396Abstract: A method and apparatus are provided for autonomously detecting and reporting anomalies in actions of an autonomous mobile node, or in behaviors of a swarm of autonomous mobile nodes to an operator. The autonomous mobile node may experience anomalies or unexpected situations due to various failures or external influence (e.g. natural weather phenomena, enemy threats). During a training phase a prediction model and a structured model may be established from measurement data received from one or more sensors of an autonomous mobile node or a swarm of nodes while executing an action or behavior under normal circumstances. A prediction model forecasts the expected outcome of an action or behavior, and structured model helps quantify the similarity of a learned action or behavior to the currently observed situation. Based on the measurement data applicable models can be used for an action or behavior for anomaly detection in the action or behavior.Type: GrantFiled: September 12, 2018Date of Patent: October 13, 2020Assignee: EpiSys Science, Inc.Inventors: Nadeesha Oliver Ranasinghe, Bong Kyun Ryu, Wei-Min Shen
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Patent number: 10645170Abstract: Techniques for autonomously establishing, maintaining, and repairing of a wireless communication network among multiple autonomous mobile nodes (AMN) are provided. The multiple AMNs are flown towards a first node. A tentacle is established with the first node and extended to cover a second node over a distance, thereby establishing a wireless communication network between the first node and the second node via the multiple AMNs. Any damage to the established wireless communication network or tentacle may be autonomously detected and repaired by using spare AMNs. Further, the communication network may be used to enable autonomous detection, tracking of the second node, as well as autonomous detection of a contamination area, based on data received from one or more sensors onboard the AMNs deployed in the air.Type: GrantFiled: December 30, 2017Date of Patent: May 5, 2020Assignee: EpiSys Science, Inc.Inventors: Nadeesha Oliver Ranasinghe, Bong Kyun Ryu, Wei-Min Shen
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Publication number: 20190028546Abstract: A method and apparatus are provided for autonomously detecting and reporting anomalies in actions of an autonomous mobile node, or in behaviors of a swarm of autonomous mobile nodes to an operator. The autonomous mobile node may experience anomalies or unexpected situations due to various failures or external influence (e.g. natural weather phenomena, enemy threats). During a training phase a prediction model and a structured model may be established from measurement data received from one or more sensors of an autonomous mobile node or a swarm of nodes while executing an action or behavior under normal circumstances. A prediction model forecasts the expected outcome of an action or behavior, and structured model helps quantify the similarity of a learned action or behavior to the currently observed situation. Based on the measurement data applicable models can be used for an action or behavior for anomaly detection in the action or behavior.Type: ApplicationFiled: September 12, 2018Publication date: January 24, 2019Applicant: EpiSys Science, Inc.Inventors: Nadeesha Oliver RANASINGHE, Bong Kyun RYU, Wei-Min SHEN
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Patent number: 10140786Abstract: A method and apparatus are provided for autonomously detecting and reporting anomalies in actions of an autonomous mobile node, or in behaviors of a swarm of autonomous mobile nodes to an operator. The autonomous mobile node may experience anomalies or unexpected situations due to various failures or external influence (e.g. natural weather phenomena, enemy threats). During a training phase a prediction model and a structured model may be established from measurement data received from one or more sensors of an autonomous mobile node or a swarm of nodes while executing an action or behavior under normal circumstances. A prediction model forecasts the expected outcome of an action or behavior, and structured model helps quantify the similarity of a learned action or behavior to the currently observed situation. Based on the measurement data applicable models can be used for an action or behavior for anomaly detection in the action or behavior.Type: GrantFiled: December 29, 2016Date of Patent: November 27, 2018Assignee: Episys Science, IncInventors: Nadeesha Oliver Ranasinghe, Bong Kyun Ryu, Wei-Min Shen
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Publication number: 20180219948Abstract: Techniques for autonomously establishing, maintaining, and repairing of a wireless communication network among multiple autonomous mobile nodes (AMN) are provided. The multiple AMNs are flown towards a first node. A tentacle is established with the first node and extended to cover a second node over a distance, thereby establishing a wireless communication network between the first node and the second node via the multiple AMNs. Any damage to the established wireless communication network or tentacle may be autonomously detected and repaired by using spare AMNs. Further, the communication network may be used to enable autonomous detection, tracking of the second node, as well as autonomous detection of a contamination area, based on data received from one or more sensors onboard the AMNs deployed in the air.Type: ApplicationFiled: December 30, 2017Publication date: August 2, 2018Applicant: Episys Science, Inc.Inventors: Nadeesha Oliver RANASINGHE, Bong Kyun RYU, Wei-Min SHEN
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Patent number: 9894158Abstract: Techniques for autonomously establishing, maintaining, and repairing of a wireless communication network among multiple autonomous mobile nodes (AMN) are provided. The multiple AMNs are flown towards a first node. A tentacle is established with the first node and extended to cover a second node over a distance, thereby establishing a wireless communication network between the first node and the second node via the multiple AMNs. Any damage to the established wireless communication network or tentacle may be autonomously detected and repaired by using spare AMNs. Further, the communication network may be used to enable autonomous detection, tracking of the second node, as well as autonomous detection of a contamination area, based on data received from one or more sensors onboard the AMNs deployed in the air.Type: GrantFiled: May 19, 2015Date of Patent: February 13, 2018Assignee: EPISYS SCIENCE, INC.Inventors: Nadeesha Oliver Ranasinghe, Bong Kyun Ryu, Wei-Min Shen
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Publication number: 20170124777Abstract: A method and apparatus are provided for autonomously detecting and reporting anomalies in actions of an autonomous mobile node, or in behaviors of a swarm of autonomous mobile nodes to an operator. The autonomous mobile node may experience anomalies or unexpected situations due to various failures or external influence (e.g. natural weather phenomena, enemy threats). During a training phase a prediction model and a structured model may be established from measurement data received from one or more sensors of an autonomous mobile node or a swarm of nodes while executing an action or behavior under normal circumstances. A prediction model forecasts the expected outcome of an action or behavior, and structured model helps quantify the similarity of a learned action or behavior to the currently observed situation. Based on the measurement data applicable models can be used for an action or behavior for anomaly detection in the action or behavior.Type: ApplicationFiled: December 29, 2016Publication date: May 4, 2017Applicant: EpiSys Science, Inc.Inventors: Nadeesha Oliver RANASINGHE, Bong Kyun RYU, Wei-Min SHEN
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Patent number: 9537954Abstract: A method and apparatus are provided for autonomously detecting and reporting anomalies in actions of an autonomous mobile node, or in behaviors of a swarm of autonomous mobile nodes to an operator. The autonomous mobile node may experience anomalies or unexpected situations due to various failures or external influence (e.g. natural weather phenomena, enemy threats). During a training phase a prediction model and a structured model may be established from measurement data received from one or more sensors of an autonomous mobile node or a swarm of nodes while executing an action or behavior under normal circumstances. A prediction model forecasts the expected outcome of an action or behavior, and structured model helps quantify the similarity of a learned action or behavior to the currently observed situation. Based on the measurement data applicable models can be used for an action or behavior for anomaly detection in the action or behavior.Type: GrantFiled: May 19, 2015Date of Patent: January 3, 2017Assignee: EpiSys Science, Inc.Inventors: Nadeesha Oliver Ranasinghe, Bong Kyun Ryu, Wei-Min Shen
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Publication number: 20150334768Abstract: Techniques for autonomously establishing, maintaining, and repairing of a wireless communication network among multiple autonomous mobile nodes (AMN) are provided. The multiple AMNs are flown towards a first node. A tentacle is established with the first node and extended to cover a second node over a distance, thereby establishing a wireless communication network between the first node and the second node via the multiple AMNs. Any damage to the established wireless communication network or tentacle may be autonomously detected and repaired by using spare AMNs. Further, the communication network may be used to enable autonomous detection, tracking of the second node, as well as autonomous detection of a contamination area, based on data received from one or more sensors onboard the AMNs deployed in the air.Type: ApplicationFiled: May 19, 2015Publication date: November 19, 2015Inventors: Nadeesha Oliver RANASINGHE, Bong Kyun RYU, Wei-Min SHEN
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Publication number: 20150332523Abstract: A method and apparatus are provided for autonomously detecting and reporting anomalies in actions of an autonomous mobile node, or in behaviors of a swarm of autonomous mobile nodes to an operator. The autonomous mobile node may experience anomalies or unexpected situations due to various failures or external influence (e.g. natural weather phenomena, enemy threats). During a training phase a prediction model and a structured model may be established from measurement data received from one or more sensors of an autonomous mobile node or a swarm of nodes while executing an action or behavior under normal circumstances. A prediction model forecasts the expected outcome of an action or behavior, and structured model helps quantify the similarity of a learned action or behavior to the currently observed situation. Based on the measurement data applicable models can be used for an action or behavior for anomaly detection in the action or behavior.Type: ApplicationFiled: May 19, 2015Publication date: November 19, 2015Inventors: Nadeesha Oliver RANASINGHE, Bong Kyun RYU, Wei-Min SHEN
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Publication number: 20030204716Abstract: A system for distributing digital content from a content provider to content presenter(s) for presentation. The system includes a provider apparatus that encrypts the content before distribution thereof and sets at least one condition for presenting the content, and a presenter apparatus to which is distributed the encrypted content and which is allowed to decrypt the content when the at least one condition is satisfied. The system allows for secure distribution of multimedia presentations from one source to geographically separate locations. The system provides for secure presentation and cryptographically secure accounting for each presentation.Type: ApplicationFiled: April 24, 2002Publication date: October 30, 2003Inventors: Troy Dean Rockwood, Bong Kyun Ryu, Wensheng Zhou, Yongguang Zhang