ScholarWorks@Dongguk University: Sung, Yun sick

Detailed Information

Sung, Yun sick (성연식)

College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)

Research Area

Tel 02-2260-3338
Homepage

ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

deep learning:14||reinforcement learning:5||machine learning:4||LiDAR:4||Unmanned Aerial Vehicle:4||convolutional neural network:4||Bayesian probability:4||Drone:3||broad learning system:3||artificial intelligence:3||transformer:3||Deep learning:3||HTC VIVE:3||Artificial intelligence:3||trajectory tracking:2||image processing:2||3D object classification:2||imitation learning:2||Natural user interface:2||unsupervised learning:2||Virtual reality:2||3D point cloud:2||pretraining:2||Internet of Things:2||Motion estimation:2||MIDI:2||malware classification:2||무인항공기:2||지상관제시스템:2||3D object recognition:2||scenario generation:2||malware visualization:2||Path planning:2||Big data:2||game artificial intelligence:2||Programming by demonstration:2||motion estimation:2||UAV:2||Qlearning:2||surveillance:2||music genre classification:2||Myo:2||Beacon:2||Deep SORT:1||DeepQNetwork:1||DemonstrationBased Learning:1||Direction:1||DouglasPeucker:1||Dynamic multiobjective:1||EMG:1||FastText:1||Feature extraction:1||Fighting game:1||Foursquare:1||GPS Trajectory analysis:1||GPU programming:1||Generic algorithm:1||Geometric approach:1||Global Positioning System:1||Gomoku:1||Ground Control Station:1||Ground Control System:1||Ground control station:1||HTC Vive:1||Haptic device:1||Headmounted display:1||Hough space:1||Humanrobot interface:1||Image preprocessing:1||Indoor Location:1||Information and Communication Technology:1||Internet of Drone:1||IoT:1||Kalman filter:1||Korean Character Recognition:1||LSTMGAN:1||Laser radar:1||LiDAR point cloud:1||LiDAR point clouds:1||Listening system:1||Location:1||Location prediction:1||Long shortterm memory:1||LowRank Adaptation (LoRA):1||MR:1||MYO:1||Malware:1||Malware classification:1||Marker:1||MaxMin Algorithm:1||Maximin Selection Algorithm:1||Mobile:1||Mobile applications:1||Mobile robot:1||Modelbased object:1||Motion Estimation:1||Motion pictures:1||Motivation system:1||Motor Primitive:1||Multisensor calibration:1||Multimedia data:1||Multiple UAVs:1||Myo armband:1||Myo device:1||NUI:1||NUI/NUX:1||Nature inspired algorithm:1||Nature user experience:1||Next location prediction:1||Object recognition:1||Object tracking:1||Path Generation:1||Point cloud compression:1||Propagation:1||QLearning:1||Qnetwork:1||Qvalue:1||Rebalancing algorithm:1||Red light running:1||Reinforcement Learning:1||Reinforcement learning:1||RetrievalAugmented Generation (RAG):1||Reward:1||SNS crawling:1||Security:1||Security and privacy protection:1||Sentiment Analysis:1||Sequence mining:1||Service robot:1||Simulation:1||Smart city:1||Social networking:1||Solid modeling:1||Static analysis:1||Submotion:1||Swarm intelligence algorithms:1||Swin Transformer:1||Tangible User Interface:1||Terminal reward:1||Text mining:1||Thalmic Myo:1||Threedimensional displays:1||Toy:1||Traffic collision:1||Traffic law violation:1||Training:1||Trajectory mining:1||Transformer decoder:1||Transmission Power Problem:1||Transportation management plan:1||Trilateration:1||UAV control:1||UI:1||Unauthorized access:1||Unmanned aerial vehicle:1||Unmanned aerial vehicles:1||Video conferencing:1||Virtual Tutor:1||Virtual environment:1||Virtual human:1||Weight:1||Wireless Sensor Network:1||Word2Vec:1||Work zone:1||YOLO:1||action classification:1||activity recognition:1||adaptation optimization:1||asynchronous advantage actorcritic:1||audio music:1||autoencoder model:1||automatic music generation:1||autonomous driving:1||autonomous driving simulator:1||autonomous flight:1||autonomous vehicle:1||background subtraction:1||basketball game:1||big data:1||blockchain:1||candidate waypoint generation:1||chord progression generation:1||choreography:1||clustering:1||conditional generation:1||conditional generative adversarial network:1||connected component labeling:1||convolution neural network:1||convolutional neuralnetworks:1||cyber security:1||cybersecurity:1||dance:1||data augmentation:1||data fusion:1||deep neural network:1||deep teaming:1||dense semantic segmentation:1||diffusion model:1||domain adaptation:1||dynamic graph convolution:1||dynamic object:1||edge computing:1||editing:1||embedding:1||emotion:1||encoderdecoder model:1||encoding:1||endtoend control:1||endtoend controls:1||exploration:1||extended reality:1||feature engineering:1||feature extraction:1||flight path:1||game AI:1||game agent system:1||generative adversarial network:1||generative pretraining:1||genetic algorithm:1||genre classification:1||gesture learning:1||gesture recognition:1||gomoku:1||healthcare:1||heterogeneous sensors:1||human motion capture:1||humancomputer interaction:1||image generation:1||image style transformation:1||imbalanced UX dataset:1||inception model:1||influence map:1||information security:1||intelligent vehicle:1||intelligent vehicles:1||learning:1||long shortterm memory:1||lowrank adaptation (LoRA):1||lyrics to image style:1||melody:1||melody composition:1||melody generation:1||merging LoRA modules:1||micro unmanned aircraft systems:1||motion analysis:1||movement estimation:1||multiagent system:1||music composition:1||music evaluation:1||music generation:1||music information retrieval:1||musical instrument digital interface:1||neural networks:1||normal field of view:1||onehot encoding:1||orientation:1||parallel computing:1||path planning:1||peertopeer:1||plane extraction:1||point cloud:1||point cloud analysis:1||pretraining:1||prevention:1||primary school:1||probability computing:1||random masking:1||replay memory:1||representation learning:1||road traffic legal Information Retrieval:1||scenario simulation and modeling framework:1||security:1||selfdriving:1||sensors:1||sequencetosequence:1||sequencetosequence model:1||sexual abuse:1||simulated virtual environment:1||simulation framework:1||smart sensor and device:1||soft sensor:1||style transfer:1||system:1||term frequencyinverse document frequency:1||threedimensional point cloud:1||traffic accident classification:1||traffic accident detection:1||trafficaccident detection:1||transformer model:1||transformerdecoder:1||twodimensional range image:1||unified space autoencoder:1||unmanned aerial vehicle:1||unmanned aerial vehicles:1||user experience and user interface:1||user interface:1||vision caption:1||vision language model (VLM):1||vision transformer:1||weight:1||데모기반학습:1||드론:1||모터프리미티브:1||위성 항법 장치:1||360degree videos:1||체감형 인터페이스:1||3D CNN:1||3D Hough transform:1||3D landmark:1||3D path:1||3D spatial clustering:1||AI:1||Affective social big data:1||Android alarm system:1||Association analysis:1||Autoencoder:1||Automated enforcement system:1||Autonomous flight control:1||Autopilot:1||BCI contents:1||BCI game:1||Bayesian Probability:1||Behavior generation:1||Behavior planning:1||BiLSTM:1||Big highly imbalanced dataset:1||Binary classification:1||Blockchain and Crypto Currency:1||Braincomputer interface:1||Brainwave:1||Bundle adjustment:1||CNN:1||CNN encoder:1||ChordBased Trilateration:1||Classification:1||Cloud Computing:1||Clustering analysis:1||Cognitive computing:1||Collision avoidance:1||Communication systems:1||Continuous risk profile:1||Control signal:1||Convolutional recurrent neural network:1||Dance Tutorial System:1||Data computing:1||Data refine:1||Deep Learning:1||Deep Q learning:1||

RSS_1.0 RSS_2.0 ATOM_1.0

30, Pildong-ro 1-gil, Jung-gu, Seoul, 04620, Republic of Korea+82-2-2260-3114

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Detailed Information

Keyword

BROWSE