Search Results - "Kim, Hwangnam"

Survey on Anti-Drone Systems: Components, Designs, and Challenges by Park, Seongjoon, Kim, Hyeong Tae, Lee, Sangmin, Joo, Hyeontae, Kim, Hwangnam

“…This paper presents a comprehensive survey on anti-drone systems. After drones were released for non-military usages, drone incidents in the unarmed population…”
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Reinforcement Learning Based Topology Control for UAV Networks by Yoo, Taehoon, Lee, Sangmin, Yoo, Kyeonghyun, Kim, Hwangnam

“…The recent development of unmanned aerial vehicle (UAV) technology has shown the possibility of using UAVs in many research and industrial fields. One of them…”
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Future of IoT Networks: A Survey by Lee, Suk, Bae, Mungyu, Kim, Hwangnam

“…The introduction of mobile devices has changed our daily lives. They enable users to obtain information even in a nomadic environment and provide information…”
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Authentication and Delegation for Operating a Multi-Drone System by Bae, Mungyu, Kim, Hwangnam

“…As the era of IoT comes, drones are in the spotlight as a mobile medium of Internet of Things (IoT) devices and services. However, drones appear to be…”
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Devising a Distributed Co-Simulator for a Multi-UAV Network by Park, Seongjoon, La, Woong Gyu, Lee, Woonghee, Kim , Hwangnam

“…Practical evaluation of the Unmanned Aerial Vehicle (UAV) network requires a lot of money to build experiment environments, which includes UAVs, network…”
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DAG-Based Distributed Ledger for Low-Latency Smart Grid Network by Park, Seongjoon, Kim, Hwangnam

“…In this paper, we propose a scheme that implements a Distributed Ledger Technology (DLT) based on Directed Acyclic Graph (DAG) to generate, validate, and…”
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Enhancing gas detection-based swarming through deep reinforcement learning by Lee, Sangmin, Park, Seongjoon, Kim, Hwangnam

“…Swarm-Intelligence (SI), the collective behavior of decentralized and self-organized system, is used to efficiently carry out practical missions in various…”
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Guest Editorial Special Issue on Time-Sensitive Networks for Unmanned Aircraft Systems by Kim, Hwangnam, Jung, Yong Wun, Zhang, Honghai

“…In this special issue, we explored swarming, network management, routing for multipath, communications, service applications, detection and identification,…”
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Adaptive Sensing Data Augmentation for Drones Using Attention-Based GAN by Yoon, Namkyung, Kim, Kiseok, Lee, Sangmin, Bai, Jin Hyoung, Kim, Hwangnam

“…Drones have become essential tools across various industries due to their ability to provide real-time data and perform automated tasks. However, integrating…”
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An MPTCP-Based Transmission Scheme for Improving the Control Stability of Unmanned Aerial Vehicles by Lee, Woonghee, Lee, Joon Yeop, Joo, Hyeontae, Kim, Hwangnam

“…Recently, unmanned aerial vehicles (UAVs) have been applied to various applications. In order to perform repetitive and accurate tasks with a UAV, it is more…”
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DeepRSSI: Generative Model for Fingerprint-Based Localization by Yoon, Namkyung, Jung, Wooyong, Kim, Hwang-nam

“…In this paper, we present an innovative methodology for generating virtual received signal strength indicator (RSSI) fingerprint maps to improve indoor…”
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DAGmap: Multi-Drone SLAM via a DAG-Based Distributed Ledger by Park, Seongjoon, Kim, Hwangnam

“…Simultaneous localization and mapping (SLAM) in unmanned vehicles, such as drones, has great usability potential in versatile applications. When operating SLAM…”
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Pedestrian Positioning Using a Double-Stacked Particle Filter in Indoor Wireless Networks by Sung, Kwangjae, Lee, Hyung Kyu, Kim, Hwangnam

“…The indoor pedestrian positioning methods are affected by substantial bias and errors because of the use of cheap microelectromechanical systems (MEMS) devices…”
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Simplified KF-based energy-efficient vehicle positioning for smartphones by Sung, Kwangjae, Kim, Hwangnam

“…Recently, smart mobile devices, such as smartphone and tablet PC, have become so prevalent. Most of them are equipped with a set of sensors including a global…”
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Indoor Pedestrian Localization Using iBeacon and Improved Kalman Filter by Sung, Kwangjae, Lee, Dong Kyu 'Roy', Kim, Hwangnam

“…The reliable and accurate indoor pedestrian positioning is one of the biggest challenges for location-based systems and applications. Most pedestrian…”
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Empowering Adaptive Geolocation-Based Routing for UAV Networks with Reinforcement Learning by Park, Changmin, Lee, Sangmin, Joo, Hyeontae, Kim, Hwangnam

“…Since unmanned aerial vehicles (UAVs), such as drones, are used in various fields due to their high utilization and agile mobility, technologies to deal with…”
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Enhancing UAV Swarm Tactics with Edge AI: Adaptive Decision Making in Changing Environments by Jung, Wooyong, Park, Changmin, Lee, Seunghyeon, Kim, Hwangnam

“…This paper presents a drone system that uses an improved network topology and MultiAgent Reinforcement Learning (MARL) to enhance mission performance in…”
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Optimizing Time-Sensitive Software-Defined Wireless Networks with Reinforcement Learning by Joo, Hyeontae, Lee, Sangmin, Lee, Seunghwan, Kim, Hwangnam

“…Even though wireless networks are inevitable in mobile or infrastructure-less communication systems, such as vehicle-to-everything (V2X) infrastructure in…”
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Unveiling Hidden Insights in Gas Chromatography Data Analysis with Generative Adversarial Networks by Yoon, Namkyung, Jung, Wooyong, Kim, Hwangnam

“…The gas chromatography analysis method for chemical substances enables accurate analysis to precisely distinguish the components of a mixture. This paper…”
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Cooperative Computing System for Heavy-Computation and Low-Latency Processing in Wireless Sensor Networks by Jung, Jongtack, Lee, Woonghee, Kim, Hwangnam

“…Over the past decades, hardware and software technologies for wireless sensor networks (WSNs) have significantly progressed, and WSNs are widely used in…”
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