2024年度

Journal
  1. Qi LI, Hengyi LI, and Lin MENG,
    "A Generic Deep Learning Architecture Optimization Method for Edge Device based on Start-up Latency Reduction".
    Journal of Real-Time Image Processing,SPRINGER, Vol.21, No.116, pp.1-12, June. 2024. [Download] 【SCI/SCIE, IF:3.0, JCR:Q2, CAS:Q4
  2. jiangwei Li, Deng Zhao, Zhensheng Shi, Lin Meng, Walid Gaaloul, and Zhangbing Zhou,
    "Energy-Efficient Online Service Migration in Edge Networks.
    IEEE Internet of Things Journal May. 2024. [Download] 【SCI/SCIE, IF:10.06, JCR:Q1, CAS:Q1
  3. Zhuo LI, Yifei GE, Xuebin YUE, and Lin MENG,
    "MCAD: Multi-classification anomaly detection with relational knowledge distillation.
    Neural Computing and Applications, SPRINGER May. 2024. [Download] 【SCI/SCIE, IF:6.0, JCR:Q1, CAS:Q3
  4. Xuebin YUE, Ziming WANG, Ryuto ISHIBASHI, Hayata KANEKO, and Lin MENG,
    "An Unsupervised Automatic Organization Method for Professor Shirakawa’s Hand-Notated Documents of Oracle Bone Inscriptions,"
    International Journal on Document Analysis and Recognition, SPRINGER Jan. 2024. [Download] 【SCI/SCIE, IF:2.3, JCR:Q2, CAS:Q3
  5. Jiale REN, Hengyi LI, Aihui WANG, Kenshi SAHO, and Lin MENG,
    "Radar-based gait analysis by Transformer-liked network for dementia diagnosis,"
    Biomedical Signal Processing and Control, Vol.91, ELSEVIER Jan. 2024. [Download] 【SCI/SCIE, IF:5.1, JCR:Q1; CAS:Q2
  6. Bing LYU, Xuebin YUE, and Lin MENG,
    "Early Japanese Books Organization and Spatiotemporal Database System Creation for Natural Disaster Analysis,"
    Heritage Science, Springer, Vol.12, No.14, pp.1-20, 2024 [Download] 【SCI/SCIE, IF:2.893, JCR:Q1; CAS:Q1 Top
  7. Xuebin YUE, and Lin MENG,
    "YOLO-SM: a Lightweight Single-class Multi-deformation Object Detection Network,"
    IEEE Transactions on Emerging Topics in Computational Intelligence,Vol.8, No.3, pp.2471-2480, June 2024. [Download] 【SCI/SCIE,IF:5.30,JCR:Q1, CAS:Q2
  8. Zhenling SU, Song WANG, Qi LI, and Lin MENG,
    "AI Model Design and the Challenging of CPU Acceleration by ChatGPT,"
    Int. J. of Human Factors Modelling and Simulation, (accepted), 2024
National Conference
  1. 徐 一凡, 王 梦涛, 王 忠奎, 孟 林,
    "RNNを用いたハイドロゲル4Dプリンティングのシミュレーションモデリング,"
    ロボティクス・メカトロニクス 講演会 2024 in Utsunomiya (宇都宮,栃木) , 2024.5.29.
  2. 福坂 陽, Zenghui WANG, 孟 林,
    "バイオガスプラントの監視IoTシステム構築に関する検討,"
    電気学会・制御研究会 (熊本大学,熊本) , 2024.5.19.
  3. 王 相衡, 蘇 振嶺, 金子 隼大, 孟 林,
    "AIを用いた拓本の自動整理 とそれに向けた拓本文字データセットの構築,"
    電気学会・制御研究会  (熊本大学,熊本) , 2024.5.19.
  4. Zhuo LI, Xin WANG, Yifei GE, Lin MENG,
    "表面欠陥検出に向けた教師-学生AIモデル,"
    スマートシステムと制御技術シンポジウム 2024 (制御理論・制御技術一般) (松江テルサ,島根) , 2024.1.6-7.
  5. Yifei GE, Zhuo LI, Lin MENG,
    "AIとIoTを融合した文化遺産整理"
    スマートシステムと制御技術シンポジウム 2024 (制御理論・制御技術一般) (松江テルサ,島根) , 2024.1.6-7.
International National Conference
  1. Haruhiro TAKAHASHI, Ryuto ISHIBASHI, Hayata KANEKO, and Lin MENG
    "Leftover Food Measurement using Deep Learning Based Semantic Segmentation,"
    The 6th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2024), Aug. 2024. (Kusatsu, Japan)
  2. Masayuki ISHIKAWA, Ryuto ISHIBASHI, and Lin MENG
    "Norm-Regularized Token Compression in Vision Transformer Networks,"
    The 6th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2024), Aug. 2024. (Kusatsu, Japan)
  3. Runqian ZHANG, Yifei GE, Qi LI, and Lin MENG
    "An Improved YOLOv8 Tomato Leaf Disease Detector Based on Efficient-Net backbone,"
    The 6th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2024), Aug. 2024. (Kusatsu, Japan)
  4. Zhongyu WANG, Qi LI, Yifei GE, and Lin MENG
    "A Review on FPGA-Based Optimization and Applications of Deep Learning Convolutional Neural Networks,"
    The 6th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2024), Aug. 2024. (Kusatsu, Japan)
  5. Yifan XU, Mengtao WANG, Zhongkui WANG, and Lin MENG
    "Simulation of Hydrogel 4D Printing Using RNN,"
    The 6th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2024), Aug. 2024. (Kusatsu, Japan)
  6. Yifei GE, Zhuo LI, and Lin MENG,
    "Deep learning-driven digital twin-enabled smart monitoring system,"
    The 28th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems 2024) 2024.9.11-13.(Seville, Spain)
  7. Zhenling SU, Qi LI, Hayata KANEKO, Hengyi LI, and Lin MENG,
    "Optimization and Deployment of DNNs for RISC-V-based Edge AI,"
    The 2024 IEEE International Conference on Real-time Computing and Robotics (IEEE RCAR 2024) 2024.6.24-28.(Alesund, Norway)
  8. Xin WANG, Zhuo LI, Jie HAN, Ren XU, and Lin MENG,
    "A deep learning-based method facilitates scRNA-seq cell type identification,"
    The 5th International Conference on Neural Computing for Advanced Applications (NCAA 2024) 2024.7.5-7.(Guilin, China)
  9. Yuga ONO, Lin MENG,
    "Anomaly Classification with Anomaly-Focused Patch Selection by Gaussian Distribution,"
    The 25th Workshop on Synthesis And System Integration of Mixed Information Technologies (SASIMI 2024) 2024.3.11-12.(Taiwan)

2023年度

Journal
  1. Yifei GE, Zhuo LI, Xuebin YUE, Hengyi LI, Qi LI and Lin MENG,
    "IoT-based Automatic Deep Learning Model Generation and the Application on Empty-Dish Recycling Robots,"
    Internet of Things, ELSEVIER,Vol.25, Art No.10147 , Dec. 2023. [Download] 【SCI/SCIE, IF:5.900, JCR:Q1 】
  2. Xuebin YUE, Lin MENG,
    "YOLO-MSA: A Multi-scale Stereoscopic Attention Network for Empty-Dish Recycling Robots,"
    IEEE Transactions on Instrumentation and Measurement, 2023 [Download] 【SCI/SCIE, IF:5.600, JCR:Q1, CAS:Q2 Top
  3. Hengyi Li, and Lin Meng,
    "Hardware-aware approach to deep neural network optimization,"
    Neurocomputing, Vol.559, 2023. [Download] 【SCI/SCIE, IF:6.000, JCR:Q1, CAS:Q2 Top
  4. Xuebin YUE, Hengyi LI, and Lin MENG,
    "An Ultralightweight Object Detection Network for Empty-Dish Recycling Robots,"
    IEEE Transactions on Instrumentation and Measurement, Vol.72, pp.1-12, Art no. 2505612, 2023 [Download] 【SCI/SCIE, IF:5.600, JCR:Q1, CAS:Q2 Top
  5. Hengyi LI, Xuebin YUE, Chengyan ZHAO, and Lin MENG,
    "Lightweight Deep Neural Network from Scratch,"
    Applied Intelligence, Vol.53, pp.1-19, 2023. [Download] 【SCI/SCIE, IF:5.019, JCR:Q2】
  6. Qi LI, Hengyi LI, and Lin MENG,
    "Deep Learning Architecture Improvement Based on Dynamic Pruning and Layer Fusion,"
    Electronics, MDPI, Vol.12, No.5, pp.60-81, 2023. [Download] 【SCI/SCIE, IF:2.657, JCR:Q3】
  7. Zhuo LI, Hengyi LI, and Lin MENG,
    "Model Compression for Deep Neural Networks: A Survey,"
    Computers, MDPI, Vol.12, No.3, pp.1208-1221, 2023. [Download] 【SCI/SCIE, JCR:Q4】
  8. Hayata KANEKO, Ryuto ISHIBASHI, Lin MENG,
    "Deteriorated Characters Restoration for Early Japanese Books using Enhanced CycleGAN,"
    Heritage, MDPI, Vol.6, No.5, pp.4345-4361, 2023. [Download] 【SCI/SCIE, JCR:Q1】
  9. Jiale REN, Aihui WANG, Hengyi LI, Xuebin YUE, Lin MENG,
    "A Transformer-based Neural Network for Gait Prediction in Lower Limb Exoskeleton Robot Using Plantar Force,"
    Sensors, MDPI,23(14),6547 2023. [Download] 【SCI/SCIE, JCR:Q1】
  10. 藤川佳之, Xuebin YUE, Bing LYU, Qi LI, Ziming WANG, 金子隼大, 松田龍弥, 石橋 龍人,
    "深層学習を用いた古代文献の整理――甲骨文字、白川トレース、日本古典籍,"
    ART RESEARCH, 24(1), pp.29-36, 2023 [Download]
  11. Tomoki MORIOKA, Lin MENG,
    "IoT-based dataset augmentation method for oracle bone inscriptions reorganisation,"
    International Journal of Advanced Mechatronic Systems, Vol.10, No.2, 2023 [Download]
  12. Zhuo LI, Lin MENG,
    "Deep spiking neural networks for image classification,"
    International Journal of Human Factors Modelling and Simulation, Vol.8, No.1, pp.21-35, 2023 [Download]
National Conference
  1. 金子 隼大, 石橋 龍人, 孟 林,
    "条件付きCycleGANを用いた劣化くずし字の修復に関する試み,"
    第132回人文科学とコンピュータ研究発表会,(亜細亜大学,東京) , 2023.5.20.
  2. 松井 敦己, 孟 林,
    " りんご外観検査に向けたYOLOの改善,"
    制御研究会,(大阪工業大学,大阪) , 2023.7.1.
  3. Zhenling SU, Lin MENG,
    "ChatGPTを用いた深層学習モデルの構築とCPUでの高速化に関する試み,"
    制御研究会,(University of Tasmania,Australia) , 2023.9.11.
  4. 徐 一凡, 王 夢涛, 王 忠奎, 岳 学彬, 孟 林, 石橋龍人,
    "4Dプリンティングを用いた水中ロボットグリッパのモデル設計,"
    制御研究会,(東京農工大学) , 2023.12.16.
  5. 王 夢涛, 徐 一凡, 王 忠奎, 岳 学彬, 孟 林,
    "ソフトロボットにおけるバイオニッククラゲの有限要素解析,"
    制御研究会,(東京農工大学) , 2023.12.16.
  6. 吉津 侑哉, 金子 隼大, 石橋 龍人, 孟 林,
    "GAN+SEblockによる日本古代文献修復,"
    制御研究会,(東京農工大学) , 2023.12.16.
International National Conference
  1. Ryuto ISHIBASHI, Hayata KANEKO, Naoto NOJIRI, Kenshi SAHO, Lin MENG,
    "Optimized Vision Transformer for Dementia Diagnosis using Micro-Doppler Radar,"
    2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC).2023.10.1-4.(Hyatt Maui, Hawaii, USA) 【AR=57% about 1300 submissions】
  2. Mingyuan LI, Lin MENG, and Xuebin YUE
    "Yolo V4 for Kuzushiji Recognition With Synthetic Training Data Generated by GAN,"
    The 5th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2023).(Kusatsu, Japan)
  3. Xiangheng WANG, Hengyi LI, Xuebin YUE, and Lin MENG
    "A comprehensive survey on object detection YOLO,"
    The 5th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2023).(Kusatsu, Japan)
  4. Shunsuke HAYASHI, Yuga ONO, Ryuto ISHIBASHI, Qi LI, and Lin MENG
    "Facial Expression Recognition with Face Mask using Attention Mechanism,"
    The 5th International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2023).(Kusatsu, Japan)
  5. Hayata KANEKO, Yuya YOSHIZU, Ryuto ISHIBASHI, and Lin MENG,
    "An Attempt at Zero-shot Ancient Document Restoration Based on Diffusion Models,"
    In proceedings of the 2023 International Conference on Advanced Mechatronic Systems (ICAMechS 2023), September. 2023.(In Australia)
  6. Ryuto ISHIBASHI, Hayata KANEKO, and Lin MENG,
    "Enhancing DETR with Attention-Based Thresholding for Efficient Early Japanese Book Reorganization,"
    In proceedings of the 2023 International Conference on Advanced Mechatronic Systems (ICAMechS 2023), September. 2023.(In Australia)
  7. Shunsuke HAYASHI, Qi LI, and Lin MENG,
    "Facial Expression Recognition with Face Mask using Attention Mechanism and Metric Loss,"
    In proceedings of the 2023 International Conference on Advanced Mechatronic Systems (ICAMechS 2023), September. 2023.(In Australia)
  8. Kosaburo HATTORI, Atsuki MATSUI, Tomonori IZUMI, and Lin MENG,
    "Defect Detection of Apples using PatchCore,"
    In proceedings of the 2023 International Conference on Advanced Mechatronic Systems (ICAMechS 2023), September. 2023.(In Australia)
  9. Atsuki MATSUI, Lin Meng, and Kosaburo HATTORI,
    "Enhanced YOLO using Attention for Apple grading,"
    In proceedings of the 2023 International Conference on Advanced Mechatronic Systems (ICAMechS 2023), September. 2023.(In Australia)
  10. Zhuo LI, Yifei GE, Xiangheng WANG, Xuebin YUE, and Lin MENG,
    "Industrial Anomaly Detection via Teacher Student Network,"
    In proceedings of the 2023 International Conference on Advanced Mechatronic Systems (ICAMechS 2023), September. 2023.(In Australia)
  11. Yifei GE, Zhuo LI, Xiangheng WANG, Xuebin YUE, and Lin MENG,
    "YOLO-OR: a lightweight cross-stage object detection model for dish recycling robot,"
    In proceedings of the 2023 International Conference on Advanced Mechatronic Systems (ICAMechS 2023), September. 2023.(In Australia)

2022年度

Journal
  1. Hengyi Li, Zhichen Wang, Xuebin Yue, Wenwen Wang, Hiroyuki Tomiyama, and Lin Meng,
    "An Architecture-level Analysis on Deep Learning Models for Low-Impact Computations,"
    Artificial Intelligence Review, Vol.56, No.3, pp.1971-2020, 2023 [Download] 【SCI/SCIE, IF:12.00, JCR:Q1, CAS:Q2 Top
  2. Bing Lyu, Hengyi Li, Ami Tanaka, and Lin Meng,
    "The Early Japanese Books Reorganization by Combining Image processing and Deep Learning,"
    CAAI Transactions on Intelligence Technology, IET, Vol.7, No.4, pp.627-643, 2022.5 [Download] 【SCI/SCIE, IF:7.985, JCR:Q1】
  3. Xuebin Yue, Hengyi Li, Masao Shimizu, Sadao Kawamura, and Lin Meng,
    "YOLO-GD: A Deep Learning-Based Object Detection Algorithm for Empty-Dish Recycling Robots,"
    Machines, MDPI, Vol.10, No.5, pp.294 2022.4 [Download] 【SCI/SCIE, IF:2.467, JCR:Q2】
  4. Xuebin Yue, Hengyi Li, Yoshiyuki Fujikawa, and Lin Meng,
    "Dynamic Dataset Augmentation for Deep Learning-based Oracle Bone Inscriptions Recognition,"
    ACM Journal on Computing and Cultural Heritage, ACM. Vol.15, No.76, pp.1-20, 2022.4 [Download] 【SCI/SCIE, IF:2.121, JCR:Q3】
  5. Yoshiyuki Fujikawa, Hengyi Li, Xuebin Yue, Aravinda C V, Amar Prabhu G, and Lin Meng,
    "Recognition of Oracle Bone Inscriptions by using Two Deep Learning Models,"
    International Journal of Digital Humanities, Springer, pp.15-20 2022. [Download]
  6. Hengyi Li, Xuebin Yue, Zhichen Wang, Wenwen Wang, Zhilei Chai, Hiroyuki Tomiyama, and Lin Meng,
    "Optimizing the deep neural networks by layer-wise refined pruning and the acceleration on FPGA,"
    Computational Intelligence and Neuroscience, Hindawi , 2022. Vol.2022 [Download] 【SCI/SCIE, IF:3.633, JCR:Q1】
  7. Kenshi Saho, Sora Hayashi, Mutsuki Tsuyama, Lin Meng, and Masao Masugi,
    "Machine Learning-Based Classification of Human Behaviors and Falls in Restroom via Dual Doppler Radar Measurements,"
    Sensors,MDPI, Vol.22, No.5, 2022. [Download] 【SCI/SCIE, IF:3.576 JCR:Q1】
  8. Zelin Meng, Lin Meng, Hiroyuki Tomiyama,
    "Feature Classification-Based Inclination Measurement for Industrial Assembly Platform,"
    Wireless Communications and Mobile Computing, Hindawi, Vol.2022, article 5911031, 2022.2. [Download] 【IF:2.336】
  9. Zhichen Wang, Hengyi Li, Xuebin Yue, and Lin Meng,
    "Design and Acceleration of Field Programmable Gate Array-Based Deep Learning for Empty-Dish Recycling Robots,"
    Applied Science, MDPI, Vol.10, No.5, 2022.4. [Download]
  10. 金子隼大, 孟林,
    "敵対的生成ネットワークを用いた日本古典籍修復に関する試み,"
    記要「アート・リサーチ」, Vol.23, No.1, pp.7-11, 2022.10. [Download]
  11. Qi Li, Hengyi Li, Lin Meng,
    "Feature Map Analysis-based Dynamic CNN Pruning and the Acceleration on FPGAs,"
    Electronics, MDPI Vol.11, No.8, 2022.9. [Download] 【SCI/SCIE, IF:2.69, JCR:Q3】
  12. Hengyi Li, Xuebin Yue, and Lin Meng,
    "Enhanced mechanisms of Pooling and channel-attention for deep learning feature maps,"
    PeerJ Computer Science Vol.8, pp.1-18, 2022.11. [Download] 【SCI/SCIE, IF:2.410, JCR:Q3】
  13. Lin Meng, Mingcong Deng, Hongnian Yu, Shengjun Wen,
    "Guest Editorial: Special issue on recent developments in advanced mechatronics systems,"
    CAAI Transactions on Intelligence Technology2022.12. [Download]
  14. Xuebin Yue, Hengyi Li, and Lin Meng.
    "AI-based Prevention Embedded System Against COVID-19 in Daily Life,"
    Procedia Computer Science, Vol.202, pp.152-157, May 2022.
  15. Bing Lyu, Ami Tanaka, and Lin Meng.
    "Computer-assisted Ancient Documents Re-organization,"
    Procedia Computer Science, Vol.202, pp.295-300, May 2022.
  16. Zhichen Wang, Hengyi Li, Xuebin Yue, and Lin Meng.
    "Briefly Analysis about CNN Accelerator based on FPGA,"
    Procedia Computer Science, Vol.202, pp.277-282, May 2022.
International Conference
  1. Xuebin Yue, Hengyi Li, Masao Shimizu, Sadao Kawamura, and Lin Meng,
    "Deep Learning-based Real-time Object Detection for Empty-Dish Recycling Robot,"
    In Proceedings of the 13th Asian Control Conference, May, 4-7, 2022.(In Korea)
  2. Zhuo Li, and Lin Meng,
    "A survey of model pruning for deep neural network,"
    2022 International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2022) , August. 2022.(In Japan)
  3. Ryuto Ishibashi, Naoto Nojiri, Kenshi Saho and Lin Meng
    " Dementia Diagnose Based on Machine Learning Using Doppler Radar Image for the Elderly Person,"
    2022 International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2022) , August. 2022.(In Japan)
  4. Qi Li, Hengyi Li, and Lin Meng,
    "CNN Acceleration based on Dynamic Pruning and FPGAs Implementation,"
    International SoC Design Conference (ISOCC) October. 2022.(In Korea)
  5. Atsuki Matsui, Masato Iinuma, and Lin Meng,
    "Deep Learning Based Real-time Visual Inspection for Grading Apples,"
    In proceedings of the 2022 International Conference on Advanced Mechatronic Systems (ICAMechS 2022), December. 2022.(In Japan)
  6. Ryuto ISHIBASHI, Hayata KANEKO, Xuebin YUE, Lin MENG,
    "Grasp Point Calculation and Food Waste Detection for Dish-recycling Robot,"
    In proceedings of the 2022 International Conference on Advanced Mechatronic Systems (ICAMechS 2022), December. 2022.(In Japan)
  7. Zhuo Li, and Lin Meng,
    "Research on Deep Learning-based Cross-disciplinary Applications,"
    In proceedings of the 2022 International Conference on Advanced Mechatronic Systems (ICAMechS 2022), December. 2022.(In Japan)
  8. Yifei Ge, Xuebin Yue, and Lin Meng,
    "YOLO-GG: a slight object detection model for empty-dish recycling robot,"
    In proceedings of the 2022 International Conference on Advanced Mechatronic Systems (ICAMechS 2022), December. 2022.(In Japan)
  9. Zhuo Li, Hengyi Li, and Lin Meng,
    "An efficient neural architecture search based on PCDARTS,"
    International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI2022), December. 2022.(In USA)
  10. Yuga ONO, Ryuto ISHIBASHI, Hayata KANEKO,Yifei GE, and Lin MENG,
    "Deep Learning-based Fatigue Crack Detection,"
    International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI2022), December. 2022.(In USA)
National Conference
  1. 李 祺, 岳 学彬, 清水 正男,川村 貞夫,孟 林,
    "食器自動回収ロボ食器自動回収ロボットに向けた深層学習でのデータセット自動拡張,"
    電気学会 制御研究会, , March, 2022.
  2. 王 相衡, 岳 学彬, 孟林   
    "深層学習を用いた物体検出と認識の応用,"
    情報処理学会第84回全国大会,6U-06,2022年3月(愛媛大学).
  3. 高木健司,渥美柾彦,孟林
    "FPGA実装に向けた深層学習での量子化の検証,"
    情報処理学会第84回全国大会,5Q-08,2022年3月(愛媛大学).
  4. 李祺, 李恒毅,孟林
    "冗長計算分析とFPGA加速に基づいたコンパクトかつ高速なCNNの実現,"
    リコンフィギャラブルシステム研究会(RECONF),2022年6月(筑波大学).
  5. Hengyi LI, Xuebin Yue, Lin Meng
    "Regularization based CNN Optimizing and the acceleration on FPGA,"
    リコンフィギャラブルシステム研究会(RECONF),2022年6月(筑波大学).
  6. Hengyi LI, Lin Meng,
    "A Challenge for Deep Neural Network Design - Automatic Architecture Optimization,"
    電気学会 制御研究会, Nov, 2022. (松江工業高等専門学校).
  7. 金子 隼人,石橋 龍人,Xuebin Yue, Hengyi Li, 孟林
    "深層学習とロボットを融合した自動下膳について,"
    電気学会 制御研究会, Nov, 2022. (松江工業高等専門学校).
Book Chapter
  1. C.V. Aravinda, Meng Lin, K.R. Udaya Kumar Reddy, and G. Amar Prabhu,
    " A deep learning approach for the prediction of heart attacks based on data analysis,"
    Deep Learning for Medical Applications with Unique Data, Academic Press, Pages 1-18, ISBN 9780128241455, 2022. [Download]

2021年度

Journal
  1. Zhichen Wang, Zelin Meng, Kenshi Saho, Kazuki Uemura, Naoto Nojiri, and Lin Meng,
    "Deep Learning-based Elderly Gender Classification using Doppler Radar,"
    Personal and Ubiquitous Computing, Vol.26, pp.1067-1079 , 2021. [Download] 【SCI, IF:2.000】
  2. Le Zhang, Zhichen Wang, Lei Wang, Zhe Zhang, Xu Chen, and Lin Meng,
    "Machine Learning based Real-time Visible Fatigue Crack Growth Detection,"
    Digital Communications and Networks, Vol.7, No.4, pp.551-558 , 2021. [Download] 【SCI/SCIE, IF:5.382】
  3. Xuebin Yue, Hengyi Li, Kenshi Saho, Kazuki Uemura, Aravinda C V and Lin Meng,
    "Machine Learning based Apathy Classification on Doppler Radar Image for the Elderly Person,"
    Procedia Computer Science , Vol.187, pp. 146-151, 2021. [Download] 【EI, SJR:0.334】
  4. Zelin Meng, Lin Meng and Hiroyuki Tomiyama,
    "Pneumonia Diagnosis on Chest X-Rays with Machine Learning,"
    Procedia Computer Science , Vol.187, pp. 42-51, 2021. [Download] 【EI, SJR:0.334】
  5. Bing Lyu, Zhichen Wang, Hengyi Li, Ami Tanaka, Katsuyuki Funumoto and Lin Meng,
    "Deep Leaning based Medicine Packaging Information Recognition for Medication Use in the Elderly,"
    Procedia Computer Science , Vol.187, pp. 194-199, 2021. [Download] 【EI, SJR:0.334】
  6. Xuebin Yue, Bing Lyu, Hengyi Li, Lin Meng, and Katsuyuki Furumoto,
    "Real-time Medicine Packet Recognition System in Dispensing Medicines for the Elderly,"
    Measurement: Sensors , Vol.18, 100072, 2021. [Download]
  7. Hengyi Li, Xuebin Yue, Zhichen Wang, Wenwen Wang, HiroyukiTomiyam and Lin Meng,
    "A survey of Convolutional Neural Networks -- From software to hardware and the applications in measurement,"
    Measurement: Sensors , Vol.18, 100080, 2021. [Download]
  8. Xiao Xue, Deyu Zhou, Fangyi Chen, Xiangning Yu, Zhiyong Feng, Yucong Duan and Lin Meng,
    "From SOA to VOA: A Shift in Understanding the Operation and Evolution of Service Ecosystem,"
    IEEE Transactions on Services Computing , Vol.18, 100080, 2021. [Download] 【SCI, IF:8.216】
  9. Feng Zeng, Qiao Chen, Lin Meng, and Jinsong Wu,
    "Volunteer Assisted Collaborative Offloading and Resource Allocation in Vehicular Edge Computing,"
    IEEE Transactions on Intelligent Transportation Systems, Vol.22, No.6, pp.3247-3257, 2021.6. [Download] 【SCI/SCIE, IF:5.74】
Book Chapter
  1. C.V. Aravinda, Meng Lin, K.R. Udaya Kumar Reddy, G. Amar Prabhu,
    "A demystifying convolutional neural networks using Grad-CAM for prediction of coronavirus disease (COVID-19) on X-ray images,"
    Data Science for COVID-19, Academic Press, Pages 429-450, ISBN 9780128245361, 2021. [Download]
International Conference
  1. Hengyi Li, Zhichen Wang, Xuebin Yue, Wenwen Wang, Hiroyuki Tomiyama and Lin Meng,
    "A Comprehensive Analysis of Low-Impact Computations in Deep Learning Workloads,"
    In Proceedings of the Great Lakes Symposium on VLSI 2021 (the 31st GLSVLSI), June. 2021.(In USA) [Download] 【CCF-C】
  2. Yifei Ge, Zhuo Li, and Lin Meng,
    "Tracking control of lower limb exoskeleton robot based on human plantar reaction force,"
    In proceedings of the 2021 International Conference on Advanced Mechatronic Systems (ICAMechS 2021), December. 2021.(In Japan)
  3. Hengyi Li, Xuebin Yue, Zhichen Wang, Wenwen Wang, Hiroyuki Tomiyama and Lin Meng,
    "A Survey of Convolutional Network Models--From Software to Hardware and The Applications in Measurement,"
    In The IMEKO XXIII World congress (IMEKO2021), August. 2021.(In JAPAN) 
  4. Xuebin Yue, Bing Lyu, Hengyi Li, Katsuyuki Furumoto and Lin Meng,
    "Real-Time Medicine Packet Recognition System in Dispensing Medicines for The Elderly,"
    In The IMEKO XXIII World congress (IMEKO2021), August. 2021.(In JAPAN)
  5. Tomoki Morioka, Aravinda C V and Lin Meng,
    "An AI-based Android Applic ation for Ancient Documents Text Recognition,"
    2021 International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2021), August. 2021.(In JAPAN)
  6. Jianhao Gong, Hengyi Li, Qi Li, and Lin Meng,
    "A Deep Analysis of Group Convolution Schemes for Improving Deep Learning Performance,"
    2021 International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2021), August. 2021.(In JAPAN)
  7. Ziming Wang, Xuebin Yue, and Lin Meng,
    " An Effective Approach for Noise Reduction from Shirakawa's Hand-Notated Documents on OBIs Research,"
    2021 International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2021), August. 2021.(In JAPAN)
  8. Minxuan Wen, Kentaro Yokoo, Xuebin Yue, and Lin Meng,
    "An AI-based Mask-Wearing Status Recognition and Person Identification System,"
    2021 International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2021), August. 2021.(In JAPAN)
  9. Mingyuan Li, Hengyi Li, and Wang, and Lin Meng,
    "A Survey on FPGA-based Deep Neural Network Accelerators,"
    2021 International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT 2021), August. 2021.(In JAPAN)
  10. Xuebin Yue, Bing Lyu, Hengyi Li, Yoshiyuki Fujikawa, and Lin Meng.
    "Deep Learning and Image Processing Combined Organization of Shirakawa's Hand-Notated Documents on OBI Research,"
    The 2021 IEEE International Conference on Networking, Sensing and Control (IEEE ICNSC 2021) , Dec. 2021.(In Xiamen China)
  11. Xuebin Yue, Hengyi Li, and Lin Meng.
    "AI-based Prevention Embedded System Against COVID-19 in Daily Life,"
    International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), Nov. 2021.(In Hangzhou China)
  12. Bing Lyu, Ami Tanaka, and Lin Meng.
    "Computer-assisted Ancient Documents Re-organization,"
    International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), Nov. 2021.(In Hangzhou China)
  13. Zhichen Wang, Hengyi Li, Xuebin Yue, and Lin Meng.
    "Briefly Analysis about CNN Accelerator based on FPGA,"
    International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), Nov. 2021.(In Hangzhou China)
  14. Xiangheng Wang, Xuebin Yue, Hengyi Li, and Lin Meng.
    "A high-efficiency dirty-egg detection system based on YOLOv4 and TensorRT,"
    The 2021 (11th) International Conference on Advanced Mechatronic Systems (ICAMechS 2021), Dec. 2021.(In JAPAN)
Workshop & National Conference
  1. Qi Li, Hengyi Li, Wenwen Wang, Lin Meng.
    "Deep Learning Performance-up by Feature-map Characteristic Analysis and Redundancy Reduction,"
    電気学会, 制御研究会,2021年6月. オンライン
  2. 高 涵, 呂 氷, 王 志辰, 孟 林,
    "画像処理とクラスターを用いたくずし字セグメンテーション,"
    第20回情報科学技術フォーラム(FIT2021),Aug.26.2021.
  3. Hengyi Li, Xuebin Yue, and Lin Meng,
    "Sparsity-Gradient-Based Pruning and the Vitis-AI Implementation forCompacting Deep Learning,"
    デザインガイア2021 -VLSI設計の新しい大地- ,Dec. 1. 2021.

2020年度

Journal
  1. Yaqiang Zhang, Zhangbing Zhou, Zhensheng Shi, Lin Meng, and Zhenjiang Zhang,
    "Online Scheduling Optimization for DAG-Based Requests Through Reinforcement Learning inCollaboration Edge Networks,"
    IEEE ACCESS,Vol.8, pp. 72985-72996, 2020. [Download] 【SCI/SCIE, IF:4.1】
  2. Yang Liu, Lin Meng, Ittetsu Taniguchi, Hiroyuki Tomiyama,
    "A Branch-and-Bound Approach to Scheduling of Data-Parallel Tasks on Multicore Architectures,"
    International Journal of Embedded Systems (IJES), Vol. 12, No. 1, pp.125-135, 2020. [Download] 【ESCI】
  3. Lehan Chen, Bing Lyu, Hiroyuki Tomiyama and Lin Meng,
    "A Method of Japanese Ancient Text Recognition by Deep Learning,"
    Procedia Computer Science , Vol. 174, pp.276-279, 2020. [Download] 【EI; H5-index=84】
  4. Yuxi Cheng, Xiangbo Kong, Lin Meng and Hiroyuki Tomiyama,
    "An Edge Computing Based Fall Detection IoT System for Elderly Persons,"
    Procedia Computer Science, Vol. 174, pp.9-14, 2020. [Download] 【EI; H5-index=84】
  5. Xiangbo Kong, Zhe Zhang, Lin Meng and Hiroyuki Tomiyama,
    "Machine Learning Based Features Matching for Fatigue Crack Detection,"
    Procedia Computer Science, Vol. 174, pp.101-105, 2020. [Download] 【EI; H5-index=84】
  6. Zelin Meng, Lin Meng and Hiroyuki Tomiyama,
    "Comparison Works Regarding Camera Motion Estimation Approaches,"
    Procedia Computer Science, Vol. 174, pp.22-26, 2020. [Download] 【EI; H5-index=84】
  7. Naoto Nojiri, Zelin Meng, Kenshi Saho, Yucong Duan, Kazuki Uemura, Aravinda C V, Amar Prabhu, Hiromitsu Shimakawa and Lin Meng,
    "Apathy Classification based on Doppler Radar Image for the Elderly Person,"
    Frontiers in Bioengineering and Biotechnology-Computational Genomics , Vol.8, pp.1235, 2020. [Download] 【SCI, IF:3.644】
  8. Zelin Meng, Lin Meng and Hiroyuki Tomiyama,
    "Motion Estimation Based Inclination Measurement of Industrial Assembly Platform,"
    Journal of Advanced Mechatronic Systems, , Vol. 8, No.4, pp.155-165, 2020. [Download]
  9. Xiangbo Kong, Lin Meng, Hiroyuki Tomiyama, "A Self-Learning Fall Detection System for Elderly Persons Using Depth Camera,"
    Journal of Advanced Mechatronic Systems, Vol.8, No.1, pp.16-25, 2020.
International Conference
  1. Bing Lyu, Lin Meng and Hiroyuki Tomiyama, "Frame Detection and Text Line Segmentation for Early Japanese Books Understanding,"
    In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, pp.600--606, Feb. 2020.(In Malta) [Download]
  2. Zelin Meng, Zhiyu Zhang, Hiroyuki Tomiyama and Lin Meng, "Pneumonia Diagnosis on Chest X-Rays with Machine Learning,"
    International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), Zhuhai, China, Nov. 2020.
  3. Xuebin Yue, Hengyi Li, Kenshi Saho, Kazuki Uemura, Aravinda C V and Lin Meng, "Machine Learning based Apathy Classification on Doppler Radar Image for the Elderly Person,"
    International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), Zhuhai, China, Nov. 2020.
  4. Bing Lyu, Zhichen Wang, Lin Meng, Katsuyuki Furumoto and Ami Tanaka, "Deep Leaning based Medicine Packaging Information Recognition for Medication Use in the Elderly,"
    International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), Zhuhai, China, Nov. 2020.
  5. Xiangbo Kong, Takeshi Kumaki, Lin Meng and Hiroyuki Tomiyama, "A Skeleton Analysis Based Fall Detection Method Using ToF Camera,"
    International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), Zhuhai, China, Nov. 2020.
  6. Masahiko Atsumi, Syunsuke Kawano, Tomoki Morioka, Lin Meng, "Deep Learning Based Ancient Asian Character Recognition,"
    The 2020 International Conference on Advanced Mechatronic Systems (ICAMechS 2020), 12.2020. (Hanoi, Vietnam)
  7. Kentaro Yokoo, Masahiko Atsumi, Kei Tanaka, Haoqing Wang and Lin Meng, "Deep Learning based Emotion Recognition IoT System,"
    The 2020 International Conference on Advanced Mechatronic Systems (ICAMechS 2020), 12.2020. (Hanoi, Vietnam)
  8. Aravinda C.V, Udaya Kumara Reddy K R, Lin Meng and Amar Prabhu G, "South Indian Character Recognition Using Statistical Feature Extraction and Distance Classifier,"
    The 2020 International Conference on Advanced Mechatronic Systems (ICAMechS 2020), 12.2020. (Hanoi, Vietnam)
Workshop & National Conference
  1. 王 志辰,冨山 宏之,佐保 賢志,孟 林, "GoogLeNetを用いたドップラーレーダー画像での高齢者性別の識別,"
    情報処理学会第82回全国大会,4ZE-08,2020年3月(金沢工業大学).
  2. 陳 楽ハン,冨山 宏之,孟 林, "CenterNetを用いる崩し文字の認識,"
    情報処理学会第82回全国大会,5ZF-04,2020年3月(金沢工業大学).
  3. 孟 林,孟 澤林,王 志辰,冨山 宏之, "横断分野での深層学習について,"
    電気学会・制御研究会,2020年3月(帯広畜産大学).
  4. Masahiko Atsumi, Masato Iinuma, Lin Meng, WenWen Wang, " A Comprehensive Analysis of Low-Impact Computations in Deep Learning Applications ,"
    第19回情報科学技術フォーラム(FIT2020),Sep.3.2020.
  5. 森岡 智樹, 河野 竣介, 渥美 柾彦, 孟 林, " 深層学習モデルを用いた甲骨字認識システムの構築 ,"
    令和2年電気関係学会関西連合大会, 2020年11月14日(立命館大学).
  6. 横尾 健太朗, 渥美 柾彦, 孟 林, " Health Care System のための小型デバイスでの入室者識別の実現 ,"
    令和2年電気関係学会関西連合大会, 2020年11月14日(立命館大学).
Workshop & National Conference
  1. 孟林, " 深層学習を用いたくずし文字の認識による日本古典籍の解読と整理のプロジェクト,"
    文部科学省 国際共同利用・共同研究拠点 「日本文化資源デジタル・アーカイブ国際共同研究拠点」・ 研究拠点形成支援プログラム研究プロジェクト/2019年度成果発表会,
    立命館大学 アート・リサーチセンター , 2020年2月21日.
データセット
  1. Kazuki Uemura, Kenshi Saho, Lin Meng, et al. " THE ELDERLY PERSON APATHY DOPPLER RADAR IMAGEDATASET ," [download] ,2020.
  2. NOTE: Password is necessary, please fell free to contact menglin@fc.ritsumei.ac.jp.
  3. Aravinda C V, Kenshi Saho, Lin Meng, et al. "Apathy classification code," [download] ,2020.

2019年度

Journal
  1. Xiangbo Kong, Zelin Meng, Naoto Nojiri, Yuji Iwahori, Lin Meng and Hiroyuki Tomiyama, "A HOG-SVM Based Fall Detection IoT System for Elderly Persons Using Deep Sensor,"
    Journal of Procedia Computer Science, Elsevier, Vol. 147, pp. 276-282, Feb.2019. [Download]
  2. Naoto Nojiri, Lin Meng, Xiangbo Kong and Hiromitsu Shimakawa,
    "Discussion on Machine Learning and Deep Learning based Makeup Considered Eye Status Recognition for Driver Drowsiness,"
    Journal of Procedia Computer Science, Elsevier, Vol.147, pp 264-270, Feb.2019. [Download]
  3. Xiangbo Kong, Zelin Meng, Lin Meng and Hiroyuki Tomiyama, "Three-States-Transition Method for Fall Detection Algorithm Using Depth Image,"
    Journal of Robotics and Mechatronics , Vol.31, No.1, pp. 88-94, Feb.2019. [Download] 【ESCI】
  4. 初田 慎弥, 孟 林,泉 知論, “獣害対策のための監視カメラ向けアライグマ検出器の構築と評価,”
    画像電子学会誌, Vol.48, No.2, pp.237-247, 2019
  5. Yaqiang Zhang, Lin Meng, Xiao Xue, Zhangbing Zhou and Hiroyuki Tomiyama, "QoE-Constrained Concurrent Request Optimization Through Collaboration of Edge Servers,"
    IEEE Internet of Things Journal, vol. 6, no. 6, pp. 9951-9962, Dec.2019. [Download] 【SCI/SCIE, IF:9.15】
  6. Ayaka Takebayashi, Yuji Iwahori, Shinji Fukui, James J. Little, Lin Meng, Aili Wang, Boonserm Kijsirikul,
    "Fall Detection of Elderly Persons by Action Recognition Using Data Augmentation and State Transition Diagram,"
    Applied Computing and Information Technology (International Conference on Applied Computing and Information Technology ACIT 2019), pp 95-109
  7. Xiangbo Kong, Lehan Chen, Zhichen Wang, Yuxi Chen, Lin Meng, Hiroyuki Tomiyama, "Robust Self-Adaptation Fall-Detection System Based on Camera Height,"
    MDPI sensors, Vol.19, No.17g.2019. [Download] 【SCI/SCIE, IF:3.01】
  8. Feng Zeng, Lan Yao, Baoling Wu, Wenjia Li, Lin Meng,
    "Dynamic human contact prediction based on naive Bayes algorithm in mobile social networks,"
    Software:Practice and Experience, Vol.50, Issue 11, pp.2031-2045, July 2019.
  9. Yang Liu, Lin Meng, Hiroyuki Tomiyama,
    "A Genetic Algorithm for Scheduling of Data-parallel Tasks on Multicore Architectures,"
    IPSJ Transactions on System LSI Design Methodology, Vol.12, pp.74-77, Aug. 2019.
International Conference
  1. Xiangbo Kong, Lin Meng and Hiroyuki Tomiyama, "A Neck-floor Distance Analysis Based Fall Detection System Using Deep Camera,"
    International Conference on Artificial Intelligence and Data Engineering (AIDE), May. 2019. (In Nitte, Karnataka, India) (Best paper award)
  2. Zelin Meng, Xiangbo Kong, Lin Meng and Hiroyuki Tomiyama, "Stereo Vision based Depth Estimation,"
    International Conference on Artificial Intelligence and Data Engineering (AIDE), May. 2019. (In Nitte, Karnataka, India)
  3. Takuya Egashira, Kanako Sakamoto, Kenta Yonehashi, Lin Meng, Ittetsu Taniguchi and Hiroyuki Tomiyama, "A Home Security Camera System based on Cloud and SNS,"
    International Conference on Artificial Intelligence and Data Engineering (AIDE), May. 2019. (In Nitte, Karnataka, India)
  4. Zhiyu Zhang, Yuxi Chen, Hiroyuki Tomiyama and Lin Meng, "Rubbing Characters Recognition based on Deep Learning and Lexical Analysis,"
    Ninth Annual Conference of Japanese Association for Digital Humanities (JADH2019) , Aug. 2019. (Osaka, Japan)
  5. Bing Lyu, Hiroyuki Tomiyama and Lin Meng, "Deep Learning based Japanese Early Books Understanding,"
    Ninth Annual Conference of Japanese Association for Digital Humanities (JADH2019) , Aug. 2019. (Osaka, Japan)
  6. Lin Meng, "Deep Learning based Ancient Literature Recognition and Preservation,"
    the SICE Annual Conference International Conference (SICE 2019), Aug. 2019. (In Hiroshima, Japan)
  7. Lin Meng, Bing Lyu, Zhiyu Zhang, C.V. Aravinda, Naoto Kamitoku, Katsuhiro Yamazaki, "Ocrale Bone Inscription Detector Based on SSD,"
    International Workshop on Pattern Recognition for Cultural Heritage(PatReCH 2019), in conjunction with ICIAP2019, Sep. 2019. (In Treto, Italy)
  8. Bing Lyu, Ryo Akama, Hiroyuki Tomiyama, and Lin Meng, "The Early Japanese Books Text Line Segmentation base on Image Processing and Deep Learning,"
    The 2019 International Conference on Advanced Mechatronic Systems (ICAMechS 2019), 8.2019. (Ritsumeikan University)
  9. Chen Yuxi, Xiangbo Kong, Lehan Chen, Hiroyuki Tomiyama, Lin Meng, "A Dynamic Height Analysis on Vision Based Fall Detection System,"
    The 2019 International Conference on Advanced Mechatronic Systems (ICAMechS 2019), 8.2019. (Ritsumeikan University)
  10. Lehan Chen, Xiangbo Kong, Hiroyuki Tomiyama and Lin Meng, "Multiple States Fall Detection System for Senior Citizens,"
    The 2019 International Conference on Advanced Mechatronic Systems (ICAMechS 2019), 8.2019. (Ritsumeikan University)
  11. Zhiyu Zhang, Zhichen Wang, Hiroyuki Tomiyama, and Lin Meng, "Deep Learning and Lexical Analysis Combined Rubbing Character Recognition,"
    The 2019 International Conference on Advanced Mechatronic Systems (ICAMechS 2019), 8.2019. (Ritsumeikan University)
  12. Zhichen Wang, Kenshi Saho, Hiroyuki Tomiyama and Lin Meng, "Gender Classification of Elderly People using Doppler Radar Images based on Machine Learning,"
    The 2019 International Conference on Advanced Mechatronic Systems (ICAMechS 2019), 8.2019. (Ritsumeikan University)
  13. Zelin Meng, Xiangbo Kong, Lin Meng, Hiroyuki Tomiyama, "Camera Motion Estimation and Optimization Approach,"
    The 2019 International Conference on Advanced Mechatronic Systems (ICAMechS 2019), 8.2019. (Ritsumeikan University)
  14. Aravinda C.V, Lin Meng, and Uday Kumar Reddy K.R, "An approach for signature recognition using contours based technique,"
    The 2019 International Conference on Advanced Mechatronic Systems (ICAMechS 2019), 8.2019. (Ritsumeikan University)
  15. Aravinda C.V, Lin Meng, Uday Kumar Reddy K.R and and Amar Prabhu, "Signature Recognition and Verification Using Multiple Classifiers Combination of Hu’s and HOG Features,"
    The 2019 International Conference on Advanced Mechatronic Systems (ICAMechS 2019), 8.2019. (Ritsumeikan University)
  16. Lehan Chen, Bing Lyu, Hiroyuki Tomiyama and Lin Meng, "A Method of Japanese Ancient Text Recognition by Deep Learning,"
    International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), Jinan, China, October 2019.
  17. Yuxi Cheng, Xiangbo Kong, Lin Meng and Hiroyuki Tomiyama, "An Edge Computing Based Fall Detection IoT System for Elderly Persons,"
    International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), Jinan, China, October 2019.
  18. Xiangbo Kong, Zhe Zhang, Lin Meng and Hiroyuki Tomiyama, " Machine Learning Based Features Matching for Fatigue Crack Detection ,"
    International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), Jinan, China, October 2019.
  19. Zelin Meng, Lin Meng and Hiroyuki Tomiyama, "Comparison Works Regarding Camera Motion Estimation Approaches,"
    International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), Jinan, China, October 2019.
Workshop & National Conference
  1. 坂元花菜子, 孟林, 冨山宏之, まばたき監視による居眠り防止システム,
    電気学会制御研究会, 草津, 2019年3月.
  2. 孟澤林, 孔祥博, 孟林, 冨山宏之, ステレオビジョンベースの特徴抽出とマッチングアプローチ,
    電気学会制御研究会, 草津, 2019年3月.
  3. 孔祥博, 孟澤林, 孟林, 冨山宏之, 高齢者の見守るシステム,
    電気学会制御研究会, 草津, 2019年3月.
  4. 宮下 洸大,初田 慎弥, 孟 林, 泉 知論, 野生動物自動認識のためのデータベースの構築と深層学習の試行,
    画像電子学会 第 288回研究会, 徳島大学,2019年3月.
  5. 渡邉 清威, 孟 林, 泉 知論, 甲骨拓本からの自動文字抽出手法と支援環境,
    画像電子学会 第 288回研究会, 徳島大学, 2019年3月.
  6. 高須 柾樹,渡邉 清威, 孟 林, 泉 知論, "土地利用別面積推定のための地図の自動領域分類手法,"
    画像電子学会 第 288回研究会, 徳島大学,2019年3月
  7. LeHan Chen, XiangBo Kong, 冨山宏之, 孟林, " 状態分類による高齢者転倒危険の検知 ,"
    第18回情報科学技術フォーラム(FIT2019), Sep.3.2019.
  8. ZhiChen Wang, XiangBo Kong, 冨山宏之, 佐保賢志, 孟林, "ドップラーレーダー画像を用いた高齢者の性別識別 ",
    第18回情報科学技術フォーラム(FIT2019), Sep.3.2019.
  9. Yuxi Chen, Zhiyu Zhang, 冨山宏之,孟林, " 深層学習と語彙分析を用いた高精度な拓本文字認識の実現 ,"
    第18回情報科学技術フォーラム(FIT2019),Sep.3.2019.
  10. Bing Lyu, 冨山宏之,孟林, " 画像処理と深層学習を用いた古典籍の整理 ,"
    第18回情報科学技術フォーラム(FIT2019),Sep.3.2019.
  11. Zhiyu Zhang, Hiroyuki Tomiyama, Lin Meng, "Combining Deep Learning and Lexical Analysis method for Rubbing Character Recognition\ ,"
    人文科学とコンピュータシンポジウム, Dec. 2019.
  12. 呂氷, 冨山宏之, 孟林, " ARU-NetとLeNetを用いた日本古典籍の自動解読 ,"
    人文科学とコンピュータシンポジウム, Dec. 2019.
招待講演
  1. 孟林, " 深層学習を用いたくずし文字の認識による日本古典籍の解読と整理のプロジェクト,"
    ARC Days, 立命館大学 アート・リサーチセンター , 2019年8月3日.
  2. 孟林, " 深層学習を用いたアジア文化遺産の整理と保護,"
    紫翠会第941回例会, 関西電力本店ビル, 2019年9月25日.
  3. 孟林, "Culture Heritage Protection based on Artificial Intelligence,"
    第九回全国(中国)文字と計算機学術研討会, 華中師範大学,武漢, 2019年10月26日.
データセット
  1. Xianbo Kong, Hiroyuki Tomiyama, and Lin Meng, "Fall Detection Dataset," [Link] ,2019.

2018年度

Journal
  1. 孟林, 辻翼, 泉知論, 落合淳思, 山崎勝弘, "ハフ空間での依存マトリクスを用いた主線分抽出による甲骨文字認識,"
    画像電子学会誌, Vol.47, No.4, pp.457-466, sep.2018
  2. Lin Meng, Takuma Hirayama, Shigeru Oyanagi, "Underwater-drone with Panoramic Camera for Automatic Fish Recognition Based on Deep Learning,"
    IEEE ACCESS, Vol.6, No.1, pp17880-17886, Dec. 2018. [Download] 【SCI/SCIE, IF:4.10】 \
  3. Lin Meng, Takuma Hirayama, Shigeru Oyanagi, "The Development of Underwater-Drone equipped with 360-degree Panorama Camera in Opensource Hardware,"
    Procedia Computer Science, Vol.129, pp.438-442, 2018.[Download]
  4. Yaqiang Zhang, Zhangbing Zhou, Lin Meng, "Sensing Hole Coverage Mechanism for Continuous Object Boundary Region Detection in WSNs,"
    Wireless Communications and Mobile Computing, Vol.2018, ID.5176569, pp.1-13,May,2018. [Download] 【SCI/SC\ IE, IF:1.40】
International Conference
  1. Xiangbo Kong, Zelin Meng, Lin Meng and Hiroyuki Tomiyama, "A Kinect-based Stand-to-fall Analysis for Elderly People,"
    International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT), Apr. 2018.(In Osaka, Japan)
  2. Naoto Nojiri and Lin Meng, "Front Vehicle Detection Using Color and Spatial Clustering,"
    International Symposium on Advanced Technologies and Applications in the Internet of Things, Apr. 2018. (In Osaka, Japan)
  3. Zelin Meng, Xiangbo Kong, Lin Meng and Hiroyuki Tomiyama, "Coordinate Transformations for Binocular Vision Systems,"
    International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT),Apr. 2018.(In Osaka, Japan)
  4. Yang Liu, Lin Meng, Hiroyuki Tomiyama, "A Genetic Algorithm for Scheduling of Data-Parallel Tasks,"
    International Symposium on Advanced Technologies and Applications in the Internet of Things (ATAIT), Apr. 2018.(In Osaka, Japan)
  5. Lin Meng, Takuma Hirayama, Xiangbo Kong, Zelin Meng and Hiroyuki Tomiyama, "Protecting Lake Environment using Underwater-drone and Deep Learning,"
    Taiwan and Japan Conference on Circuits and Systems (TJCAS), Aug. 2018.(in Taichung, Taiwan)
  6. Xiangbo Kong, Zelin Meng, Lin Meng and Hiroyuki Tomiyama, "A Danger Detection IoT System for Elderly Persons,"
    Taiwan and Japan Conference on Circuits and Systems (TJCAS), Aug. 2018.(in Taichung, Taiwan)
  7. Zelin Meng, Xiangbo Kong, Lin Meng, Hiroyuki Tomiyama, "Distance Measurement for Pose Estimation based on Binocular Vision Technology,"
    Taiwan and Japan Conference on Circuits and Systems (TJCAS), Aug. 2018.(in Taichung, Taiwan)
  8. Kenta Yonehashi, Takuya Egashira, Kanako Sakamoto, Lin Meng, Ittetsu Taniguchi, Hiroyuki Tomiyama, "A Security Camera System with Cloud and SNS,"
    Taiwan and Japan Conference on Circuits and Systems (TJCAS), Aug. 2018.(in Taichung, Taiwan)
  9. Xiangbo Kong, Zelin Meng, Lin Meng, Hiroyuki Tomiyama, "A Privacy Protected Fall Detection IoT System for Elderly Persons using Depth Camera,"
    In Proc. of International Conference on Advanced Mechatronic Systems (ICAMechS), pp. 31-35, Aug.30-Sep.2 2018. (in Zhengzhou, China)
  10. Zelin Meng, Xiangbo Kong, Lin Meng, Hiroyuki Tomiyama, "Distance Measurement and Camera Calibration based on Binocular Vision Technology,"
    In Proc. of International Conference on Advanced Mechatronic Systems (ICAMechS), pp. 349-354, Aug.30-Sep.2 2018. (in Zhengzhou, China)
  11. Lin Meng, Masahiro Kishi, Kana Nogami, Michiko Nabeya and Katsuhiro Yamazaki, "
    Unlocking Potential Knowledge Hidden in Rubbing:Multi-style Character Recognition using Deep Learning and Spatiotemporal Rubbing Database Creation,"
    EuroMed2018 7th International Conference on DIGITAL HERITAGE, LNCS11196, pp.741-751, Oct. 29-Nov.3, 2018. (In Nicosia, Cyprus)
  12. Lin Meng, C.V Aravinda, K R Uday Kumar Reddy, Tomonori Izumi and Katsuhiro Yamazaki, "Ancient Asian Character Recognition for Literature Preservation and Understanding,"
    EuroMed2018 International Conference on DIGITAL HERITAGE, Oct. 29-Nov. 3, 2018. (In Nicosia, Cyprus)
  13. Lin Meng, Naoki Kamitoku and Katsuhiro Yamazaki, "Recognition of Oracle Bone Inscriptions Using Deep Learning based on Data Augmentation,"
    2018 IEEE International Conference on Metrology for Archaeology and Cultural Heritage (IEEE MetroArchaeo 2018), Oct. 2018. (In Cassino, Italy)
  14. Naoto Nojiri,Lin Meng, Xiangbo Kong and Hiromitsu Shimakawa, "Discussion on Machine Learning and Deep Learning based Makeup Considered Eye Status Recognition for Driver Drowsiness,"
    International Conference on identification, information and knowledge in the internet of things (IIKI2018), Otc.2018. (In Beijing, China)
  15. Xiangbo Kong, Zelin Meng, Naoto Nojiri, Yuji Iwahori, Lin Meng and Hiroyuki Tomiyama, "A HOG-SVM Based Fall Detection IoT System for Elderly Persons Using Deep Sensor,"
    International Conference on Identification, Information and Knowledge in the Internet of Things (IIKI), Beijing, China, October 2018.
  16. Yaqiang Zhang, Xiangbo Kong, Lin Meng, Zhangbing Zhou and Hiroyuki Tomiyama, "An Ocean Target Detection Mechanism in IoT Environment,"
    Internet Conference (IC), November 2018. (in Tokyo, Japan)
Workshop & National Conference
  1. 鈴木 航,孟 林, 山崎 勝弘, "深層学習における推論過程の可視化の検討,"
    情報処理学会第80回全国大会,2N-01,2018年3月.
  2. 紙徳 直生,伊藤 大喜,多田 晃己,孟 林, 山崎 勝弘, "深層学習を用いた甲骨文字認識,"
    情報処理学会第80 回全国大会, 2S-07, 2018年3月.
  3. 岸 雅大,鍋谷 美智子,野上 佳奈,孟 林, 山崎 勝弘, "深層学習を用いた拓本の多書体認識と時空間データベースの作成,"
    情報処理学会第80回全国大会,2S-08, 2018年3月.
  4. 初田 慎弥, 孟 林, 泉 知論, "文化財獣害対策のための学習用データベースの構築と認識精度向上,"
    画像電子学会 第 284回研究会,2018年3月.
  5. 渡邉 清威, 孟 林, 泉 知論, "甲骨文字解析支援のための文字領域抽出手法,"
    画像電子学会 第 284回研究会,2018年3月.

2017年度

Journal
  1. Lin Meng, Xiangbo Kong and Daiki Taniguchi, "Dangerous Situation Detection for Elderly Persons in Restrooms Using Center of Gravity and Ellipse Detection,"
    Journal of Robotics and Mechatronics, Vol.29, No.6, pp. 1057-1064, 2017.[Download] 【ESCI】
  2. Lin Meng and Tomonori Izumi, "A Combined Recognition System for Oracle Bone Inscriptions,"
    International Journal of Advanced Mechatronic Systems, Vol.7, No.4, pp. 235-244, 2017. [Download]
  3. 初田 慎弥, 大野真史, 泉知論, 孟 林, "害獣自動認識のためのアライグマ画像データベースの構築と深層学習による認識の試行,"
    歴史都市防災論文集,Vol.11,pp.127-134, Jul.2017.
  4. Yang Liu, Lin Meng, Ittetsu Taniguchi and Hiroyuki Tomiyama, "A Dual-mode Scheduling Approach for Task Graphs with Data Parallelism,"
    International Journal of Embedded Systems, Vol.9, No.2, pp.147-156, 2017.  【ESCI】      
International Conference
  1. Lin Meng, Xiangbo Kong and Hiroyuki Tomiyama, "Fall Detection for Elderly Persons Using a Depth Camera,"
    Proceedings of the 2017 International Conference on Advanced Mechatronic Systems(ICAMechS 2017), pp.269-273, Dec.2017. (In Ximeng, China)
  2. Lin Meng, Takuma Hirayama, Shigeru Oyanagi, "The Development of Underwater-drone Equipped with 360 Degree-degree Panoramic Camera in Opensource Hardware,"
    International Conference on identification, information and knowledge in the internet of things (IIKI2017), Otc.2017. (In Qufu, China)
  3. Lin Meng, Takuma Hirayama, Shigeru Oyanagi, "Development of Underwater-drone Equipped with 360 Degree Camera and Deep Learning Based Automatic Fish Recognition,"
    the 2017 International Workshop on Advanced Mechatronic Systems, Aug.2017. (In Xining, China)
  4. Lin Meng, "Two-Stage Recognition for Oracle Bone Inscriptions,"
    in Proceedings of the 19th International Conference on Image Analysis and Processing, Lecture Notes in Computer Science, Springer, pp.672-682, Sep.2017. (In Catania, Italy)
  5. Lin Meng, "Recognition of Oracle Bone Inscriptions by Extracting Line Features on Image Processing,"
    in Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM), Volume 1: ICPRAM, ISBN 978-989-758-222-6, pp. 606-611, Feb.2017. (In Porto, Portugal)
Workshop & National Conference
  1. 紙徳 直生, 孟 林, 山崎 勝弘, "深層学習を用いた二段甲骨文字認識,"
    第16回情報科学技術フォーラム(FIT2017), F-020, 2017年9月.
  2. 初田 慎弥, 大野 真史, 泉 知論, 孟 林, "監視カメラ向けアライグマの自動検出手法の検討,"
    ITE:映像情報メディア学会,2017年8月.
  3. 初田 慎弥, 大野真史,泉 知論, 孟 林, "害獣自動認識のためのアライグマデータベースの構築と認識の試行,"
    信学会,PRMU/SP研究会,2017年7月.
  4. 渡邉 清威, 孟 林, 泉 知論, "ガボールフィルタを用いた甲骨拓本からの文字領域の抽出,"
    信学会,PRMU/SP研究会,2017年7月.
  5. 柴田 睦月, 孟 林,山崎 勝弘, "甲骨文字データベースの構築と候補テンプレートの検索,"
    情報処理学会第79 回全国大会, 2k-07,2017年3月.
  6. 岸 雅大,石井 康史, 孟 林, 山崎勝弘, "近傍ベクトルを用いた甲骨文字の特徴点と線の検出,"
    情報処理学会第79回全国大会,2N-01, 2017年3月.
  7. 辻 翼,岸 雅大,石井 康史, 孟 林, 山崎勝弘, "線分の距離依存関係を用いたクラスタリングでの主線分決定による甲骨文字認識,"
    情報処理学会第79回全国大会,2N-09, 2017年3月.
  8. 鈴木 達也, 孟 林, 泉 知論, "線分抽出パラメタの自動最適化による甲骨文字認識率の向上,"
    電子情報通信学会 技術研究報告, Vol.116, No.464, IE2016-122, ITS2016-64, pp.315-320, 2017年2月.
  9. 中原 優, 泉 知論,孟 林, 白木 善史, 鎌本 優, 守谷 健弘, "高速カメラを用いた可視光通信のための光源追跡モジュールの並列化の検討,"
    電子情報通信学会 技術研究報告, Vol.116, No.417, VLD2016-73, CPSY2016-109, RECONF2016-54, pp.19-23, 2017年1月.
データセット
  1. Lin Meng "ICIAP2017 Dataset," [Download]
  2. Lin Meng "IEEE ACCESS Dataset," [Download]
  3. Lin Meng "Rubbing Dataset," [Download]
  4. Lin Meng "Book Dataset," [Download]