研究者学術情報データベース

モウ　リン
孟　林
MENG LIN

所属理工学部電子情報工学科

職名准教授

論文
1.	2023/05/14	Deteriorated Characters Restoration for Early Japanese Books using Enhanced CycleGAN │ Heritage │ 6 (5),4345-4361頁 (共著)
2.	2023/03/06	Model Compression and Acceleration for Deep Neural Networks: A Survey │ Computers │ (共著)
3.	2023/03/02	Deep Learning Architecture Improvement Based on Dynamic Pruning and Layer Fusion │ electronics │ 12 (5) (共著)
4.	2023/03	IoT-based Dataset Augmentation Method for Oracle Bone Inscriptions Reorganization │ International Journal of Advanced Mechatronic Systems │ (共著)
5.	2023/02	Deep Spiking Neural Networks for Image Classification │ Int. J. of Human Factors Modelling and Simulation │ 8 (1),21-35頁 (共著)
6.	2023	An Ultra-Lightweight Object Detection Network for Empty-Dish Recycling Robots │ IEEE Transactions on Instrumentation & Measurement │ 72 (共著)
7.	2022/12/07	Lightweight deep neural network from scratch │ Applied Intelligence │ ,1-19頁 (共著)
8.	2022/12	Guest Editorial: Special issue on recent developments in advanced mechatronics systems │ CAAI Transactions on Intelligence Technology │ 7 (4),547-548頁 (共著)
9.	2022/11	Enhanced mechanisms of Pooling and channel-attention for deep learning feature maps │ PeerJ Computer Science │ 8 (5) (共著)
10.	2022/10	An Attempt to Restore Early Japanese Books with Generative Adversarial Networks │ アート・リサーチ │ 23 (1) (共著)
11.	2022/09	Feature Map Analysis-based Dynamic CNN Pruning and the Acceleration on FPGAs │ electronics │ (共著)
12.	2022/07/21	Design and Acceleration of Field Programmable Gate Array-Based Deep Learning for Empty-Dish Recycling Robots │ Applied Sciences │ 12 (14) (共著)
13.	2022/07	Dynamic Dataset Augmentation for Deep Learning-based Oracle Bone Inscriptions Recognition │ ACM Journal on Computing and Cultural Heritage │ (共著)
14.	2022/06/01	Optimizing the deep neural networks by layer-wise refined pruning and the acceleration on FPGA │ Computational Intelligence and Neuroscience │ 2022 (039281),1-22頁 (共著)
15.	2022/06	The Early Japanese Books Reorganization by Combining Image processing and Deep Learning │ CAAI Transactions on Intelligence Technology │ 7 (4),2468-2322頁 (共著)
16.	2022/05	An Architecture-level Analysis on Deep Learning Models for Low-Impact Computations │ Artificial Intelligence Review │ (共著)
17.	2022/04/05	Recognition of Oracle Bone Inscriptions by using Two Deep Learning Models │ International Journal of Digital Humanities (IJDH) │ (共著)
18.	2022/04	YOLO-GD: A Deep Learning-Based Object Detection Algorithm for Empty-Dish Recycling Robots │ Machines │ 10 (5) (共著)
19.	2022/02	Feature Classification-Based Inclination Measurement for Industrial Assembly Platform │ Wireless Communications and Mobile Computing │ 2022 (5911031) (共著)
20.	2022/02	Machine Learning-Based Classification of Human Behaviors and Falls in Restroom via Dual Doppler Radar Measurements │ Sensors │ 22 (5) (共著)
21.	2022	AI-based Prevention Embedded System Against COVID-19 in Daily Life │ Procedia Computer Science │ 202 (2022),152-157頁 (共著)
22.	2022	Briefly Analysis about CNN Accelerator based on FPGA │ Procedia Computer Science │ 202 (2022),277-282頁 (共著)
23.	2022	Computer-assisted Ancient Documents Re-organization │ Procedia Computer Science │ 202 (2022),295-300頁 (共著)
24.	2021/12	A Survey of Convolutional Neural Networks -- From software to hardware and the applications in measurement │ Measurement: Sensors │ 18 (100080) (共著)
25.	2021/12	Deep Leaning based Medicine Packaging Information Recognition for Medication Use in the Elderly │ Procedia Computer Science │ 187,194-199頁 (共著)
26.	2021/12	From SOA to VOA: A Shift in Understanding the Operation and Evolution of Service Ecosystem │ IEEE Transactions on Services Computing │ 18 (共著)
27.	2021/10	Real-time Medicine Packet Recognition System in Dispensing Medicines for the Elderly │ Measurement: Sensors │ 18 (100072) (共著)
28.	2021/06	Volunteer Assisted Collaborative Offloading and Resource Allocation in Vehicular Edge Computing │ IEEE Transactions on Intelligent Transportation Systems │ 22 (6),3247-3257頁 (共著)
29.	2021/01/12	Motion Estimation Based Inclination Measurement of Industrial Assembly Platform │ Internatilnal Journal of Advanced Mechatronic Systems (IJAMECHS) │ 8 (4),155-165頁 (共著)
30.	2021/01/07	Deep Learning-based Elderly Gender Classification using Doppler Radar │ Personal and Ubiquitous Computing │ (共著)
31.	2021	A high-efficiency dirty-egg detection system based on YOLOv4 and TensorRT │ (共著)
32.	2021	Machine Learning based Apathy Classification on Doppler Radar Image for the Elderly Person │ Procedia Computer Science │ 187 (2021),146-151頁 (共著)
33.	2021	Machine Learning based Real-time Visible Fatigue Crack Growth Detection │ Digital Communications and Networks │ 7 (4),551-558頁 (共著)
34.	2021	Pneumonia Diagnosis on Chest X-Rays with Machine Learning │ Procedia Computer Science │ 187 (2021),42-51頁 (共著)
35.	2020/11/03	Apathy Classification based on Doppler Radar Image for the Elderly Person │ Frontiers in Bioengineering and Biotechnology-Computational Genomics │ 8 (共著)
36.	2020/09/15	A Self-Learning Fall Detection System for Elderly Persons Using Depth Camera │ International Journal of Advanced Mechatronic Systems (IJAMECHS) │ 8 (1),16-25頁 (共著)
37.	2020/03/13	Online Scheduling Optimization for DAG-based Requests Through Reinforcement Learning in Collaboration Edge Networks │ IEEE ACCESS │ 8,72985-72996頁 (共著)
38.	2020/02/12	A Branch-and-Bound Approach to Scheduling of Data-Parallel Tasks on Multicore Architectures │ International Journal of Embedded Systems (IJES) │ 12 (1),125-135頁 (共著)
39.	2020	A Method of Japanese Ancient Text Recognition by Deep Learning │ Procedia Computer Science │ 174 (2020),276-280頁 (共著)
40.	2020	An Edge Computing Based Fall Detection IoT System for Elderly Persons │ Procedia Computer Science │ 174 (2020),9-14頁 (共著)
41.	2020	Machine Learning Based Features Matching for Fatigue Crack Detection │ Procedia Computer Science │ 174 (2020),101-105頁 (共著)
42.	2019/09	QoE-Constrained Concurrent Request Optimization Through Collaboration of Edge Servers │ IEEE Internet of Things Journal │ 6 (6),9951-9962頁 (共著)
43.	2019/08	A Genetic Algorithm for Scheduling of Data-Parallel Tasks on Multicore Architectures │ IPSJ Transactions on System LSI Design Methodology │ 12 (1),74-77 (共著)
44.	2019/08	Fall Detection of Elderly Persons by Action Recognition Using Data Augmentation and State Transition Diagram │ Applied Computing and Information Technology (ACIT) │ 847,95-109頁 (共著)
45.	2019/08	Robust Self-Adaptation Fall-Detection System based on Camera Height │ Sensors │ 19 (17) (共著)
46.	2019/06	Dynamic Human Contact Prediction based on Naive Bayes Algorithm in Mobile Social Networks │ Software : Practice and Experience │ 50 (11),2031-2045頁 (共著)
47.	2019/01	A HOG-SVM Based Fall Detection IoT System for Elderly Persons Using Deep Sensor │ Procedia Computer Science │ 147 (2019),276-282 (共著)
48.	2019/01	Discussion on Machine Learning and Deep Learning based Makeup Considered Eye Status Recognition for Driver Drowsiness │ Procedia Computer Science │ 147 (2019),264-270頁 (共著)
49.	2019/01	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 │ 48 (2),237-247頁 (共著)
50.	2019	Three-States-Transition Method for Fall Detection Algorithm Using Depth Image │ Journal of Robotics and Mechatronics │ 31 (1),88-94頁 (共著)
51.	2018/12	Underwater-drone with Panoramic Camera for Automatic Fish Recognition Based on Deep Learning │ IEEE Access │ 6 (1),17880-17886頁 (共著)
52.	2018/09	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 │ 47 (4),457-466頁 (共著)
53.	2018/05	Boundary Region Detection for Continuous Objects in Wireless Sensor Networks │ Wireless Communications and Mobile Computing │ 2018,1-13頁 (共著)
54.	2018/03	The Development of Underwater-Drone equipped with 360-degree Panorama Camera in Opensource Hardware │ Procedia Computer Science │ 129 (2018),438-442頁 (共著)
55.	2017/07	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 │ 11,127-134 (共著)
56.	2017/04	A Dual-mode Scheduling Approach for Task Graphs with Data Parallelism │ International Journal of Embedded Systems (IJES) │ 9 (2),147-156頁 (共著)
57.	2017	A Combined Recognition System for Oracle Bone Inscriptions │ International Journal of Advanced Mechatronic Systems (IJAMECHS) │ 7 (4),235-244頁
58.	2017	Dangerous Situation Detection for Elderly Persons in Restrooms Using Center of Gravity and Ellipse Detection │ Journal of Robotics and Mechatronics │ 29 (6),1057-1064頁 (共著)
59.	2016/04	An Optimal CAM-based Separated BTB for a Superscalar Processor │ International Journal of Computer Theory and Engineering (IJCTE) │ 8 (2),122-128頁 (共著)
60.	2016/02	Recognition of Oracular Bone Inscriptions Using Template Matching │ International Journal of Computer Theory and Engineering (IJCTE) │ 8 (1),53-57頁 (共著)
61.	2016	Evaluation of Load Value Predictor to Utilize Prediction Miss Bias │ IAENG Transactions on Engineering Sciences │ 14,191-204頁 (共著)
62.	2015/09	ハフ空間上でのクラスタリングとマッチングによる甲骨文字の認識 │ 画像電子学会誌 │ 44 (4),627-636頁 (共著)
63.	2015	An Optimal Scheduling for Using Chain Technique on Superscalar Processor │ International Journal of Advanced Mechatronic Systems (IJAMECHS) │ 6 (5),211-219頁 (共著)
64.	2014/09	Combining ALU Chaining with Two Direction Address Renaming Load Value Prediction │ International Journal of Advanced Mechatronic Systems (IJAMECHS) │ 6 (1),53-64頁 (共著)
65.	2014/04	Novel List Scheduling Strategies for Data Parallelism Task Graphs │ International Journal on Networking and Computing (IJNC) │ 4 (2),279-290頁 (共著)
66.	2011/11	分岐予測ミスの偏りを利用した分岐予測器の提案 │ 情報処理学会論文誌 │ 1 (4),85-95頁 (共著)
67.	2011/01	Dual Renaming を用いたControl Independence │ 電子情報通信学会論文誌 │ J94-D (1),280-289 (共著)