Search Results - "Seong-Dong Kim"
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MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification
Published in IEEE communications letters (01-04-2020)“…This letter proposes a cost-efficient convolutional neural network (CNN) for robust automatic modulation classification (AMC) deployed for cognitive radio…”
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FRATO: Fog Resource Based Adaptive Task Offloading for Delay-Minimizing IoT Service Provisioning
Published in IEEE transactions on parallel and distributed systems (01-10-2021)“…In the IoT-based systems, the fog computing allows the fog nodes to offload and process tasks requested from IoT-enabled devices in a distributed manner…”
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CNN-Based Automatic Modulation Classification for Beyond 5G Communications
Published in IEEE communications letters (01-05-2020)“…In this letter, we propose an improved convolutional neural network (CNN)-based automatic modulation classification network (IC-AMCNet), an algorithm to…”
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Prospects and challenges of Metaverse application in data‐driven intelligent transportation systems
Published in IET intelligent transport systems (01-01-2023)“…The Metaverse is a concept used to refer to a virtual world that exists in parallel to the physical world. It has grown from a conceptual level to having real…”
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Underwater Acoustic Target Classification Based on Dense Convolutional Neural Network
Published in IEEE geoscience and remote sensing letters (2022)“…In oceanic remote sensing operations, underwater acoustic target recognition is always a difficult and extremely important task of sonar systems, especially in…”
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Sparsely Connected CNN for Efficient Automatic Modulation Recognition
Published in IEEE transactions on vehicular technology (01-12-2020)“…This paper proposes a convolutional neural network (CNN), called SCGNet, for low-complexity and robust modulation recognition in intelligent communication…”
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Toward the Internet of Things for Physical Internet: Perspectives and Challenges
Published in IEEE internet of things journal (01-06-2020)“…The Physical Internet (PI, or <inline-formula> <tex-math notation="LaTeX">\pi </tex-math></inline-formula>) paradigm has been developed to be a global…”
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IoT-based adaptive network mechanism for reliable smart farm system
Published in Computers and electronics in agriculture (01-03-2020)“…•There are significant interferences in the deployed of smart system.•Reliability is essential for IoT-based smart farm system.•The proposed adaptive network…”
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Tides of Blockchain in IoT Cybersecurity
Published in Sensors (Basel, Switzerland) (14-05-2024)“…This paper surveys the implementation of blockchain technology in cybersecurity in Internet of Things (IoT) networks, presenting a comprehensive framework that…”
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Encoding Pose Features to Images With Data Augmentation for 3-D Action Recognition
Published in IEEE transactions on industrial informatics (01-05-2020)“…Recently, numerous methods have been introduced for three-dimensional (3-D) action recognition using handcrafted feature descriptors coupled traditional…”
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Explainable Artificial Intelligence (XAI) for Intrusion Detection and Mitigation in Intelligent Connected Vehicles: A Review
Published in Applied sciences (01-02-2023)“…The potential for an intelligent transportation system (ITS) has been made possible by the growth of the Internet of things (IoT) and artificial intelligence…”
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RFDOA-Net: An Efficient ConvNet for RF-Based DOA Estimation in UAV Surveillance Systems
Published in IEEE transactions on vehicular technology (01-11-2021)“…This paper presents a convolution neural network (CNN)-based direction of arrival (DOA) estimation method for radio frequency (RF) signals acquired by a…”
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13
Image representation of pose-transition feature for 3D skeleton-based action recognition
Published in Information sciences (01-03-2020)“…•An efficient 3D skeleton-based action recognition using Deep CNNs.•A novel encoding technique to transform pose-transition feature to image.•Fine-tuning an…”
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14
Automatic Modulation Classification: A Deep Architecture Survey
Published in IEEE access (2021)“…Automatic modulation classification (AMC), which aims to blindly identify the modulation type of an incoming signal at the receiver in wireless communication…”
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Optimization of RBF-SVM Kernel Using Grid Search Algorithm for DDoS Attack Detection in SDN-Based VANET
Published in IEEE internet of things journal (15-05-2023)“…The dynamic nature of the vehicular space exposes it to distributed malicious attacks irrespective of the integration of enabling technologies. The…”
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Reinforcement learning based resource management for fog computing environment: Literature review, challenges, and open issues
Published in Journal of communications and networks (01-02-2022)“…In the IoT-based systems, the fog computing allowsthe fog nodes to offload and process tasks requested from IoTenableddevices in a distributed manner instead…”
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An Efficient Hybrid-DNN for DDoS Detection and Classification in Software-Defined IIoT Networks
Published in IEEE internet of things journal (15-05-2023)“…Software-defined networking (SDN)-based Industrial Internet of Things (IIoT) networks have a centralized controller that is a single attractive target for…”
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Partial Computation Offloading in Parked Vehicle-Assisted Multi-Access Edge Computing: A Game-Theoretic Approach
Published in IEEE transactions on vehicular technology (01-09-2022)“…Parked vehicle-assisted multi-access edge computing (PVMEC) is a paradigm that exploits the under-utilized resources of parked vehicles (PVs) to assist MEC…”
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MIMO-OFDM Modulation Classification Using Three-Dimensional Convolutional Network
Published in IEEE transactions on vehicular technology (01-06-2022)“…Automatic modulation classification (AMC) plays a vital role in cognitive radio to improve spectrum utilization efficiency, however, most of the existing works…”
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ALIEN: Assisted Learning Invasive Encroachment Neutralization for Secured Drone Transportation System
Published in Sensors (Basel, Switzerland) (20-01-2023)“…Priority-based logistics and the polarization of drones in civil aviation will cause an extraordinary disturbance in the ecosystem of future airborne…”
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