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The Smart Factory with Variable System Design
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The Smart Factory with Variable System Design
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BIGDAS2023
2023
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±¹¿ÜÇмú´ëȸ¹ßÇ¥³í¹®Áý
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¸ÞÀÎÀúÀÚ :
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Chae-Hyun Lee
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Sung-Jin Im, Ja-Yeon Heo, Jin-Soo Kim and Kwan-Hee Yoo
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Smart Factory, MongoDB, Dynamic, Real Time
Smart Factory, MongoDB, Dynamic, Real Time
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ȍȍ :
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This work was partly supported by the Technology development Program of MSS S3290113 and the ICT development R&D program of MSIT S3290113
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Enhancing IoT Network Intrusion Detection Model through Over-sampling Technique...
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Enhancing IoT Network Intrusion Detection Model through Over-sampling Technique...
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Eun-Beom Sung
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Sung-Jin Im, Jin-Soo Kim, and Kwan-Hee Yoo
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Ű¿öµå :
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IoT, Machine Learning, SMOTE, ADASYN, Borderline-SMOTE
IoT, Machine Learning, SMOTE, ADASYN, Borderline-SMOTE
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ȍȍ :
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This work was partly supported by the Technology development Program of MSS S3290113 and the ICT development R&D program of MSIT S3290113
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Cloud and Edge Computing Model for Smart IoT Systems
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Cloud and Edge Computing Model for Smart IoT Systems
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BIGDAS2023
2023
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¸ÞÀÎÀúÀÚ :
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In Joo
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¼ºêÀúÀÚ :
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Kwan-Hee Yoo
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Ű¿öµå :
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Smart IoT; Platform approach; Interoperability; Offloading; Cloud computing; Edge computing;
Smart IoT; Platform approach; Interoperability; Offloading; Cloud computing; Edge computing;
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ȍȍ :
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This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program(IITP- 2023-2020-0-01462) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation)This work was partly supported by the Technology development Program of MSS S3290113 and the ICT development R&D program of MSIT S3290113
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Classification of tomato leaf diseases using various CNN models
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Classification of tomato leaf diseases using various CNN models
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BIGDAS2023
2023
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¸ÞÀÎÀúÀÚ :
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JuHan-Song
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¼ºêÀúÀÚ :
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Sunghoon Kim, Kwan Hee-Yoo
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Ű¿öµå :
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Plant Disease, DeepLearning, ResNet, DenseNet, GoogLeNet, U- Net
Plant Disease, DeepLearning, ResNet, DenseNet, GoogLeNet, U- Net
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ȍȍ :
|
This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program(IITP-2023-2020-0-01462) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation)
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Alarm Signal based Machine status estimation using Deep Learning
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Alarm Signal based Machine status estimation using Deep Learning
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BIGDAS2023
2023
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10
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13
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¸ÞÀÎÀúÀÚ :
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Dimang Chhol
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¼ºêÀúÀÚ :
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Kwan-Hee Yoo
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Ű¿öµå :
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Machine Health Stability, Alarm Signals, Deep Learning, Machine Learning, LSTM
Machine Health Stability, Alarm Signals, Deep Learning, Machine Learning, LSTM
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ȍȍ :
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This research was supported by Korea Institute for Advancement of Technology (KIAT) grant funded by the Korea Government (MOTIE)(No. P0022332, Digital data platform for material development)
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Unsupervise transfer learning using DANN in Color contact lenses
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Unsupervise transfer learning using DANN in Color contact lenses
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Ginam-Kim
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¼ºêÀúÀÚ :
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Kwan Hee-Yoo
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Ű¿öµå :
|
Domain adaptation, DANN, Color contact lens, Unsupervise Learning
Domain adaptation, DANN, Color contact lens, Unsupervise Learning
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ȍȍ :
|
This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program(IITP-2023-2020-0-01462) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation)
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Design of Evacuation Direction Guidance System using Fire Location and Dijkstra...
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°À±±¸
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·ù°üÈñ
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IoT, Àç³°¨Áö ¼¾¼, ¾Ë°í¸®Áò
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The Ministry of Science and ICT (MSIT), Korea, under the Grand Information Technology Research Center support program (IITP-2023-2020-0-01462), supervised by the Institute for In-formation & Communications Technology Planning & Evaluation (IITP).
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Deep Learning-based Vehicle Detection to Improve Intersection Queue Length Calcu...
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À±¼ºÃ¶, ·ù°üÈñ
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deep-learning, YOLOv5, data augmentation
deep-learning, YOLOv5, data augmentation
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°úÇбâ¼úÁ¤º¸Åë½ÅºÎ ¹× Á¤º¸Åë½Å±âȹÆò°¡¿øÀÇ Áö¿ªÁö´ÉÈÇõ½ÅÀÎÀç¾ç¼º(GrandICT¿¬±¸¼¾ÅÍ)»ç¾÷ÀÇ ¿¬±¸°á°ú·Î ¼öÇàµÇ¾úÀ½
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Hybrid deep learning for efficient detection of recalled products
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Hybrid deep learning for efficient detection of recalled products
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BigDataService 2023
2023
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Hyo-Jae Yoo
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Kwan-Hee Yoo
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Ű¿öµå :
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Recalled Product, E-Commerce, Object Detection, Image Feature, Measure Similarity
Recalled Product, E-Commerce, Object Detection, Image Feature, Measure Similarity
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ȍȍ :
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This research was supported by the Ministry of Science and ICT (MSIT), Korea, under the Grand Information Technology Research Center support program (IITP-2023- 2020-0-01462), supervised by the Institute for Information & Communications Technology Planning & Evaluation (IITP).
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Method for detecting small object using deep learning, and recording medium ther...
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µö ·¯´×
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GrandICT
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