Patents by Inventor Choong-Seon Hong

Choong-Seon Hong 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).

  • Publication number: 20210168622
    Abstract: The invention relates to a UAV arrangement device based on machine learning for maximizing communication throughput, the UAV arrangement device including: a communication module unit that receives location information and communication demand information of a user and transmits UAV arrangement information; a user information unit that stores and analyzes the location information and the communication demand information of the user; a UAV information unit that stores basic UAV information including UAV communication throughput; and a clustering algorithm modeling unit that calculates a location at which communication throughput is maximized, with a clustering algorithm based on the location information and the communication demand information of the user.
    Type: Application
    Filed: August 26, 2020
    Publication date: June 3, 2021
    Inventors: Choong Seon HONG, Yu Min PARK
  • Publication number: 20210165405
    Abstract: According to a technical aspect of the invention, there is provided a multiple unmanned aerial vehicles navigation optimization method is performed at a ground base station which operates in conjunction with unmanned aerial vehicles-base stations which are driven by a battery to move and cover a given trajectory point set, the multiple unmanned aerial vehicles navigation optimization method including: calculating an age-of-information metric by receiving an information update from the unmanned aerial vehicles-base stations through communication, when the ground base station is present within a transmission range of the unmanned aerial vehicles-base stations; setting conditions of a trajectory, energy efficiency, and age of information of each of the unmanned aerial vehicles-base stations; and executing Q-learning for finding a trajectory path policy of each of the unmanned aerial vehicles-base stations, so as to maximize total energy efficiency of an unmanned aerial vehicles-base station relay network to whic
    Type: Application
    Filed: August 26, 2020
    Publication date: June 3, 2021
    Inventors: Choong Seon HONG, Sarder Fakhrul ABEDIN, Min Kyung LEE
  • Publication number: 20210160888
    Abstract: Disclosed is a technical idea of constructing energy-efficient communication and computation resource allocation framework for Enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low-Latency Communication (URLLC) in 5G or higher networks. More particularly, the present disclosure relates to a technology of constructing social block coordinate descent (BCD)-based energy-efficient communication and computation resource allocation framework to address optimization problems related to restriction of eMBB users, reliability of URLLC traffic, and resource block allocation for eMBB user restriction.
    Type: Application
    Filed: August 28, 2020
    Publication date: May 27, 2021
    Applicant: UNIVERSITY-INDUSTRY COOPERATION GROUP OF KYUNG HEE UNIVERSITY
    Inventors: Choong Seon HONG, Kyaw Tun Yan, Seok Won Kang
  • Publication number: 20210160699
    Abstract: The present disclosure relates to a technical idea for managing radio and computing resources in coexistence edge computing. A method of allocating radio and computing resources in coexistence edge computing according to one embodiment may include a step of formulating a resource allocation problem for two different entities with conflicting relationships in minimizing latency as a generalized Nash equilibrium problem (GNEP), a step of converting the formulated GNEP into a Nash equilibrium problem (NEP), and a step of allocating resources on a penalty basis for the converted NEP.
    Type: Application
    Filed: August 28, 2020
    Publication date: May 27, 2021
    Applicant: UNIVERSITY-INDUSTRY COOPERATION GROUP OF KYUNG HEE UNIVERSITY
    Inventors: Choong Seon HONG, Zaw CHIT WUTYEE, Han Yeo Reum IM
  • Publication number: 20210159970
    Abstract: The present disclosure relates to a maritime communication system based on low earth orbit satellites and an unmanned aerial vehicle. The maritime communication system according to one embodiment may include one or more maritime users, one or more satellites connected to a network operator, and an unmanned aerial vehicle (UAV) for relaying communication between the maritime users and the satellites.
    Type: Application
    Filed: August 28, 2020
    Publication date: May 27, 2021
    Applicant: UNIVERSITY-INDUSTRY COOPERATION GROUP OF KYUNG HEE UNIVERSITY
    Inventors: Choong Seon Hong, Hassansheikh Salman, Seok Won Kang
  • Patent number: 10901388
    Abstract: The present disclosure relates to a method for generating an energy demand model by a multi-access edge server, the method including: a step a of receiving a task execution request signal including a bit value from a user; a step b of matching a task to one or more pre-classified groups using the bit value; a step c of extracting a feature of energy consumed to perform the task according to a criterion set differently for each group; a step of performing the steps a to c for one or more task execution request signals received from one or more users during a time period and generating an energy demand pattern for the time period using a feature of energy for one or more tasks performed during the time period; and a step of generating an energy demand model by time using one or more energy demand patterns by time and energy cost by time.
    Type: Grant
    Filed: October 30, 2018
    Date of Patent: January 26, 2021
    Inventors: Choong Seon Hong, Shirajum Munir Md., Sarder Fakhrul Abedin, Do Hyun Kim
  • Publication number: 20200387869
    Abstract: The present invention relates to a delivery system, a delivery management system, a delivery management device, and a delivery management method, wherein the delivery system may comprise: a plurality of deliverer terminals corresponding to a plurality of deliverers, respectively; and a delivery management system which collects information required for delivery, and combines at least one of the plurality of deliverers on the basis of the information required for delivery to thereby determine an optimal route by which to deliver a parcel.
    Type: Application
    Filed: August 25, 2020
    Publication date: December 10, 2020
    Applicant: UNIVERSITY-INDUSTRY COOPERATION GROUP OF KYUNG HEE UNIVERSITY
    Inventors: Choong Seon HONG, Thar KYI
  • Patent number: 10813055
    Abstract: Disclosed are an uplink resource allocation method and a cognitive small cell network system performing the method. In the method, a small cell manager collects an access request from a small cell user and forms a preference relationship for each small cell user. Then, sub-channel-specific transmission power for providing a maximum data transmission rate at the time of uplink transmission is calculated and the calculated sub-channel-specific transmission power information is transferred to the small cell user. Meanwhile, the small cell user forms all possible sub-channel-specific preference relations and thereafter, transmits the access request for each sub-channel having a maximum preference relationship to the small cell manager.
    Type: Grant
    Filed: December 19, 2019
    Date of Patent: October 20, 2020
    Assignee: UNIVERSITY-INDUSTRY COOPERATION GROUP OF KYUNG HEE UNIVERSITY
    Inventors: Choong Seon Hong, Tuan Leanh, Sung Su Kim
  • Patent number: 10740291
    Abstract: The present invention relates to a method for transmitting content in a content-based network and, more particularly, to a content transmission method by which requested content is identified on the basis of a hash value of the requested content so as to be stored only in mapped routers, thereby preventing the same content from being duplicately stored in routers in a regional group such that various types of content can be distributed and stored, and a content request message is directly transmitted only to routers mapped to a hash value of requested content, on the basis of the hash value of the requested content, such that a traffic load, occurring due to the transmission of a content request message by a flooding scheme, can be reduced.
    Type: Grant
    Filed: February 12, 2015
    Date of Patent: August 11, 2020
    Assignee: UNIVERSITY-INDUSTRY COOPERATION GROUP OF KYUNG HEE UNIVERSITY
    Inventors: Choong Seon Hong, Thar Kyi
  • Patent number: 10700855
    Abstract: A client and server system that performs a reinforcement learning-based encryption and decryption method according to an aspect of the present invention may include: a key management module configured to manage an encryption key required in performing an encryption and a decryption of data; a secret sharing module configured to perform a secret sharing of a threshold value for a lifetime and availability of the data; and a threshold estimation module configured to perform an estimation of the threshold value; and can improve the availability and security of data to satisfy user demands in a self-destructing environment for privacy protection.
    Type: Grant
    Filed: January 25, 2018
    Date of Patent: June 30, 2020
    Assignee: University-Industry Cooperation Group of Kyung-Hee University
    Inventors: Choong Seon Hong, Young Ki Kim
  • Patent number: 10666552
    Abstract: The present invention relates to a technology of forwarding interest parallel by adjusting a ratio of an interest packet requiring content depending upon a network state when a mobile device having a variety of interfaces is connected to various networks in a content-centric networking environment, thereby increasing a data transfer rate. An apparatus for controlling multipath interest forwarding according to an aspect of the present invention includes a weighted forwarding ratio administrator configured to generate an interest packet; a weighted forwarding ratio storage configured to record and maintain weighted forwarding ratios reflecting a transmission capacity of an interest packet per face; and a forwarding engine configured to control the generated interest packet to be transmitted via each of the faces based on the weighted forwarding ratios.
    Type: Grant
    Filed: December 13, 2016
    Date of Patent: May 26, 2020
    Assignee: UNIVERISTY-INDUSTRY COOPERATION GROUP OF KYUNG HEE UNIVERSITY
    Inventors: Choong Seon Hong, Doo Ho Lee, Seung Il Moon
  • Publication number: 20200145699
    Abstract: A caching system based on the invention can include an object requiring a content and an MEC server configured to determine caching contents based on a first prediction value, which may include the probability of the content being requested by the object within an allotted area and a prediction rating of the content, and download and cache the determined caching contents from a content provider. The object can include a recommendation module configured to recommend a content from among the caching contents by applying a k-means algorithm and binary classification to the first prediction value and a second prediction value, which may include a prediction value associated with a characteristic of a user, and a deep learning based caching module configured to search available MEC servers on a movement path of the object, select an optimal MEC server, and download and cache the recommended content from the optimal MEC server.
    Type: Application
    Filed: November 13, 2018
    Publication date: May 7, 2020
    Applicant: University-Industry Cooperation Group of Kyung-Hee University
    Inventors: Choong Seon HONG, Anselme NDIKUMANA
  • Publication number: 20200143460
    Abstract: Disclosed is a system and method for managing energy trading. An energy trading management system includes at least one vehicle configured to be supplied with or supply electrical energy; and an energy trading management apparatus configured to determine a purchase demand and to transmit a bid request and a reserve price to the at least one vehicle based on the determined purchase demand. The vehicle is configured to determine whether to participate in a bid based on the reserve price, and the energy trading management apparatus is configured to determine an amount of electrical energy capable of being supplied from a vehicle that accepts the bid, and to correct the reserve price and determine a new reserve price in response to the amount of electrical energy capable of being supplied exceeding the purchase demand, and to transmit the new reserve price to the vehicle.
    Type: Application
    Filed: November 13, 2018
    Publication date: May 7, 2020
    Applicant: University-Industry Cooperation Group of Kyung-Hee University
    Inventors: Choong Seon HONG, Thi Kim Oanh TRAN, Min Kyung LEE
  • Publication number: 20200145928
    Abstract: Disclosed are an uplink resource allocation method and a cognitive small cell network system performing the method. In the method, a small cell manager collects an access request from a small cell user and forms a preference relationship for each small cell user. Then, sub-channel-specific transmission power for providing a maximum data transmission rate at the time of uplink transmission is calculated and the calculated sub-channel-specific transmission power information is transferred to the small cell user. Meanwhile, the small cell user forms all possible sub-channel-specific preference relations and thereafter, transmits the access request for each sub-channel having a maximum preference relationship to the small cell manager.
    Type: Application
    Filed: December 19, 2019
    Publication date: May 7, 2020
    Inventors: Choong Seon HONG, Tuan Leanh, Sung Su Kim
  • Publication number: 20200118007
    Abstract: Disclosed are a system and method for training and managing a prediction model, and a master apparatus and a slave apparatus for the same. there is provided a system for training and managing a prediction model, the system including a master apparatus configured to generate a prediction model, train the prediction model, and obtain the trained prediction model; and a slave apparatus configured to collect data, transmit the data to the master apparatus, receive the prediction model or the trained prediction model from the master apparatus, and operate based on the prediction model or the trained prediction model. The master apparatus is further configured to generate the prediction model or train the prediction model based on the data transmitted from the slave apparatus.
    Type: Application
    Filed: October 26, 2018
    Publication date: April 16, 2020
    Applicant: University-Industry Cooperation Group of Kyung-Hee University
    Inventors: Choong Seon HONG, Thar KYI, Do Hyun KIM
  • Patent number: 10623782
    Abstract: A caching system based on the invention can include an object requiring a content and an MEC server configured to determine caching contents based on a first prediction value, which may include the probability of the content being requested by the object within an allotted area and a prediction rating of the content, and download and cache the determined caching contents from a content provider. The object can include a recommendation module configured to recommend a content from among the caching contents by applying a k-means algorithm and binary classification to the first prediction value and a second prediction value, which may include a prediction value associated with a characteristic of a user, and a deep learning based caching module configured to search available MEC servers on a movement path of the object, select an optimal MEC server, and download and cache the recommended content from the optimal MEC server.
    Type: Grant
    Filed: November 13, 2018
    Date of Patent: April 14, 2020
    Assignee: University-Industry Cooperation Group of Kyung-Hee University
    Inventors: Choong Seon Hong, Anselme Ndikumana
  • Publication number: 20200041972
    Abstract: The present disclosure relates to a method for generating an energy demand model by a multi-access edge server, the method including: a step a of receiving a task execution request signal including a bit value from a user; a step b of matching a task to one or more pre-classified groups using the bit value; a step c of extracting a feature of energy consumed to perform the task according to a criterion set differently for each group; a step of performing the steps a to c for one or more task execution request signals received from one or more users during a time period and generating an energy demand pattern for the time period using a feature of energy for one or more tasks performed during the time period; and a step of generating an energy demand model by time using one or more energy demand patterns by time and energy cost by time.
    Type: Application
    Filed: October 30, 2018
    Publication date: February 6, 2020
    Inventors: Choong Seon HONG, Shirajum Munir Md., Sarder Fakhrul Abedin, Do Hyun KIM
  • Patent number: 10524211
    Abstract: Disclosed are an uplink resource allocation method and a cognitive small cell network system performing the method. In the method, a small cell manager collects an access request from a small cell user and forms a preference relationship for each small cell user. Then, sub-channel-specific transmission power for providing a maximum data transmission rate at the time of uplink transmission is calculated and the calculated sub-channel-specific transmission power information is transferred to the small cell user. Meanwhile, the small cell user forms all possible sub-channel-specific preference relations and thereafter, transmits the access request for each sub-channel having a maximum preference relationship to the small cell manager.
    Type: Grant
    Filed: December 14, 2016
    Date of Patent: December 31, 2019
    Assignee: UNIVERSITY-INDUSTRY COOPERATION GROUP OF KYUNG HEE UNIVERSITY
    Inventors: Choong Seon Hong, Tuan Leanh, Sung Su Kim
  • Publication number: 20190306053
    Abstract: The present invention relates to a technology of forwarding interest parallel by adjusting a ratio of an interest packet requiring content depending upon a network state when a mobile device having a variety of interfaces is connected to various networks in a content-centric networking environment, thereby increasing a data transfer rate. An apparatus for controlling multipath interest forwarding according to an aspect of the present invention includes a weighted forwarding ratio administrator configured to generate an interest packet; a weighted forwarding ratio storage configured to record and maintain weighted forwarding ratios reflecting a transmission capacity of an interest packet per face; and a forwarding engine configured to control the generated interest packet to be transmitted via each of the faces based on the weighted forwarding ratios.
    Type: Application
    Filed: December 13, 2016
    Publication date: October 3, 2019
    Applicant: UNIVERSITY-INDUSTRY COOPERATION GROUP OF KYUNG HEE UNIVERSITY
    Inventors: Choong Seon HONG, Doo Ho LEE, Seung Il MOON
  • Publication number: 20190190700
    Abstract: A client and server system that performs a reinforcement learning-based encryption and decryption method according to an aspect of the present invention may include: a key management module configured to manage an encryption key required in performing an encryption and a decryption of data; a secret sharing module configured to perform a secret sharing of a threshold value for a lifetime and availability of the data; and a threshold estimation module configured to perform an estimation of the threshold value; and can improve the availability and security of data to satisfy user demands in a self-destructing environment for privacy protection.
    Type: Application
    Filed: January 25, 2018
    Publication date: June 20, 2019
    Applicant: University-Industry Cooperation Group of Kyung-Hee University
    Inventors: Choong Seon Hong, Young Ki Kim