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Actuation Mechanism and Control of Quadrupedal Robots: A Review 四足机器人驱动机构与控制研究进展
2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) Pub Date : 2023-06-16 DOI: 10.1109/AINIT59027.2023.10212620
Hanzhang Fang
{"title":"Actuation Mechanism and Control of Quadrupedal Robots: A Review","authors":"Hanzhang Fang","doi":"10.1109/AINIT59027.2023.10212620","DOIUrl":"https://doi.org/10.1109/AINIT59027.2023.10212620","url":null,"abstract":"Quadrupedal robots have been an active research area since the 1980s due to their promising potential in rough terrain and real-world navigation compared with wheeled or tracked robots. While many reviews have been written in this field, they are mostly about specific sub-categories. This paper aims to provide a broad entry point for researchers to understand the main technologies of quadrupedal robots, and also gain insight on recent breakthroughs by discussing both the actuation design and control methods of quadrupedal robots. This paper also proposes some unique views on specific challenges this research field is facing, such as crowd navigation and simulation challenges.","PeriodicalId":276778,"journal":{"name":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129455965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
LLOD:A Object Detection Method Under Low-Light Condition by Feature Enhancement and Fusion LLOD:一种基于特征增强和融合的微光条件下目标检测方法
2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) Pub Date : 2023-06-16 DOI: 10.1109/AINIT59027.2023.10212748
Linwei Ye, Zhiyuan Ma
{"title":"LLOD:A Object Detection Method Under Low-Light Condition by Feature Enhancement and Fusion","authors":"Linwei Ye, Zhiyuan Ma","doi":"10.1109/AINIT59027.2023.10212748","DOIUrl":"https://doi.org/10.1109/AINIT59027.2023.10212748","url":null,"abstract":"In this paper, we propose a novel approach to achieve our goal of implementing object detection under low-light conditions by incorporating several innovative components. First, we design a new feature fusion unit that enables semantic features to better align with target inspection characteristics. Second, we introduce a novel low-light enhancement encoder unit to augment the semantic features of low-light images. Third, due to the limited availability of large-scale datasets for low-light scenes, we train an enhancement model first, which can effectively assist object detection in low-light conditions through feature enhancement. Our method demonstrates promising results in addressing the challenges of object detection under poor lighting conditions, providing a valuable contribution to the field of computer vision and enhancing the performance of object detection tasks in low-light environments.","PeriodicalId":276778,"journal":{"name":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130057356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research and Implementation of Road Damage Detection Algorithm Based on Object Detection Network 基于目标检测网络的道路损伤检测算法研究与实现
2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) Pub Date : 2023-06-16 DOI: 10.1109/AINIT59027.2023.10212930
Zhuohui Chen, Dahao Wang, Yezhe Wang, Shun-Ping Lin, Haoran Jia, Peixin Lin, Yixian Liu, Ling Chen
{"title":"Research and Implementation of Road Damage Detection Algorithm Based on Object Detection Network","authors":"Zhuohui Chen, Dahao Wang, Yezhe Wang, Shun-Ping Lin, Haoran Jia, Peixin Lin, Yixian Liu, Ling Chen","doi":"10.1109/AINIT59027.2023.10212930","DOIUrl":"https://doi.org/10.1109/AINIT59027.2023.10212930","url":null,"abstract":"Various types of road damage occur frequently, which can affect the smooth running of vehicles. The detection of road surface damage is of great significance for road surface maintenance and smooth traffic flow. First, this paper makes descriptive statistics on RDD2020 dataset, and deals with the mislabeled categories in the dataset, through which 14,569 samples are obtained. A single-stage object detection network YOLOv5 is then constructed to detect road damage on the RDD2020 dataset. The experiment results show that the proposed network is effective in road damage detection of RDD2020 dataset. Faced with high-cost detection methods, a convenient and efficient road damage detection network is urgently needed. In this paper, a road damage detection system is deployed, which can detect the location of road damage and identify the types of road damage in real-time under the camera shooting.","PeriodicalId":276778,"journal":{"name":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132178177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Learning Resource Recommendation Algorithm Incorporating User Information and Rating Differences 结合用户信息和评分差异的学习资源推荐算法
2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) Pub Date : 2023-06-16 DOI: 10.1109/AINIT59027.2023.10212571
Li Wang, Hao Wu, Lu Zhang, Hang Cheng
{"title":"A Learning Resource Recommendation Algorithm Incorporating User Information and Rating Differences","authors":"Li Wang, Hao Wu, Lu Zhang, Hang Cheng","doi":"10.1109/AINIT59027.2023.10212571","DOIUrl":"https://doi.org/10.1109/AINIT59027.2023.10212571","url":null,"abstract":"Despite the growing popularity and development of large-scale open online learning platforms, they have been suffering from the problem of “information disorientation.” To increase students' learning efficiency, it is important to build recommendation algorithms based on students' basic information and historical rating data. In this research, we propose a new collaborative filtering recommendation algorithm that incorporates the user Information and the rating differences. The algorithm first uses the user information labels to calculate the user similarity, then introduces rating differences to enhance the conventional cosine similarity based on the characteristics of non-preferred rating data, and finally linearly combines the two similarities. The experimental results demonstrate that the algorithm enhances the recommendation effect of learning resources. The MAE and RMSE is employed to quantify the prediction accuracy of the recommendation algorithm.","PeriodicalId":276778,"journal":{"name":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133023494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Interactive Condition Monitoring System of Photovoltaic Array Based on Virtual Reality Technology 基于虚拟现实技术的光伏阵列交互式状态监测系统
2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) Pub Date : 2023-06-16 DOI: 10.1109/AINIT59027.2023.10212717
Jingwei Zhang, Changqing Ai, Dong Yuan, Huijun Yin, Chengcheng Xiong, Zihan Zhang, Xihui Chen
{"title":"Interactive Condition Monitoring System of Photovoltaic Array Based on Virtual Reality Technology","authors":"Jingwei Zhang, Changqing Ai, Dong Yuan, Huijun Yin, Chengcheng Xiong, Zihan Zhang, Xihui Chen","doi":"10.1109/AINIT59027.2023.10212717","DOIUrl":"https://doi.org/10.1109/AINIT59027.2023.10212717","url":null,"abstract":"Solar photovoltaic (PV) source has emerged as a promising renewable energy source over the last decade. Intelligent operation and maintenance of PV systems is one of the hottest research topics in the PV industry for enhancing stability and reliability of PV systems. In this paper, a condition monitoring system based on Valve Index hardware platform and Unity software platform is proposed. This visual PV operation and maintenance method is based on virtual reality (VR) interaction technology. Through the design and development of wireless sensor monitoring nodes with STM32 microcontroller, and the application of ZigBee wireless modules, a wireless sensor network is established for multi-node data transmission. A host computer monitoring platform is built and corresponding VR condition monitoring interactive environment of PV array is designed. The monitored data are sent to the monitoring environment via Wi-Fi, and a highly visualized PV virtual monitoring platform is realized. The application results of the condition monitoring system of PV array show that the condition monitoring system has higher visualization, higher interaction of user interface.","PeriodicalId":276778,"journal":{"name":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133251441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Modeling and Analysis of UAV Systems With Robot Arm 带有机械臂的无人机系统建模与分析
2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) Pub Date : 2023-06-16 DOI: 10.1109/AINIT59027.2023.10212925
Wei Ding, Lizhong Lu, Jinlu Zhang, Ming Zhang, Fei Xiong, Jingping Wang
{"title":"Modeling and Analysis of UAV Systems With Robot Arm","authors":"Wei Ding, Lizhong Lu, Jinlu Zhang, Ming Zhang, Fei Xiong, Jingping Wang","doi":"10.1109/AINIT59027.2023.10212925","DOIUrl":"https://doi.org/10.1109/AINIT59027.2023.10212925","url":null,"abstract":"Aiming at the control problem of unmanned aerial vehicle system with robot arm, the corresponding coordinate system of each joint of the composite system body and operation device is established, and the transformation matrix of the points on each part of the robot arm is deduced. Considering that the operating device stays at rest most of the time and moves only when it needs to operate the object, the system is regarded as a changing static state, and the dynamics of the composite system is derived by using the Newton-Euler method. The system simulation platform of operational quadrotor aircraft based on dynamics model is built in MATLAB environment. The working interval of the operating device and the change of the center of gravity trajectory of the complex system during operation are analyzed, and the effectiveness of the control strategy to reduce the disturbance caused by the movement of the manipulator is verified by simulation experiments","PeriodicalId":276778,"journal":{"name":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116082826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Physical Fingerprint-Based Intrusion Detection and Localization in Fieldbus Network 现场总线网络中基于物理指纹的入侵检测与定位
2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) Pub Date : 2023-06-16 DOI: 10.1109/AINIT59027.2023.10212629
Shenjian Qiu, Jiaxuan Fei, Hao Yang, Yongcai Xiao, Xiaojian Zhang
{"title":"A Physical Fingerprint-Based Intrusion Detection and Localization in Fieldbus Network","authors":"Shenjian Qiu, Jiaxuan Fei, Hao Yang, Yongcai Xiao, Xiaojian Zhang","doi":"10.1109/AINIT59027.2023.10212629","DOIUrl":"https://doi.org/10.1109/AINIT59027.2023.10212629","url":null,"abstract":"The security of fieldbus networks is of utmost importance for industrial control systems. Within fieldbus networks, masquerade attacks and illegal device intrusions are two prevalent forms of attacks. The detection of these attacks is particularly challenging due to the sophisticated masquerading and deception techniques employed by attackers. To address the challenges of masquerade attacks and illegal device intrusions in fieldbus networks, this paper presents an intrusion detection and localization method based on physical fingerprints. The method involves constructing a physical fingerprint model for each device by collecting voltage signals transmitted in the fieldbus network and extracting relevant time-domain and frequency-domain features from these signals. Additionally, a predictive score detection mechanism is proposed, incorporating a multi-label SVM classification model to accurately identify masquerade attacks and illegal device intrusions within the network. Furthermore, the method utilizes differential delay features to estimate the location of the illegal intrusion device. To validate the effectiveness of the proposed method, it has been implemented on a CAN bus prototype, providing empirical evidence of its validity.","PeriodicalId":276778,"journal":{"name":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126068763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
STM32F103-Based Intelligent Headrest Driving Safety Perception System Design 基于stm32f103的智能头枕驾驶安全感知系统设计
2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) Pub Date : 2023-06-16 DOI: 10.1109/AINIT59027.2023.10212467
Junjie Yin, Zhihai Sun
{"title":"STM32F103-Based Intelligent Headrest Driving Safety Perception System Design","authors":"Junjie Yin, Zhihai Sun","doi":"10.1109/AINIT59027.2023.10212467","DOIUrl":"https://doi.org/10.1109/AINIT59027.2023.10212467","url":null,"abstract":"In the context of China's sustained and rapid economic development, the layout of intelligent road traffic facilities is increasingly improved, and the automotive industry and related hardware and equipment industries are showing rapid growth. Meanwhile, advanced digital technologies such as 5G communication, cloud computing, and big data are empowering the intelligence and networking of the automotive industry, heralding the development direction of the intelligence of automobiles and in-vehicle systems. The neck-based intelligent driving assistance system mainly monitors the driver's physical status and behavioral characteristics in real-time by means of neck sensors and surrounding environment sensors and thus provides accurate driving assistance and safety assurance. Based on this, we address the pain point of frequent traffic accidents, and the article designs an intelligent driving assistance system that integrates neck-based analysis of health indicators such as body temperature, heart rate, blood oxygen, and monitoring of driver behavior status to provide a complete and reliable solution for safe and healthy driving. This paper introduces the design method of the monitoring device, mainly including the design principle, structural composition, and program design.","PeriodicalId":276778,"journal":{"name":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126093076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Combinatorial neural network signal modulation recognition algorithm based on attention mechanism 基于注意机制的组合神经网络信号调制识别算法
2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) Pub Date : 2023-06-16 DOI: 10.1109/AINIT59027.2023.10212466
Yuanyuan Zhang, Mingfeng Lu, Yuxiang Wang
{"title":"Combinatorial neural network signal modulation recognition algorithm based on attention mechanism","authors":"Yuanyuan Zhang, Mingfeng Lu, Yuxiang Wang","doi":"10.1109/AINIT59027.2023.10212466","DOIUrl":"https://doi.org/10.1109/AINIT59027.2023.10212466","url":null,"abstract":"Aiming at the problems of low recognition rate and confused signal classification of deep learning modulation recognition network, combined neural network of one-dimensional residual network and long short-term memory based on efficient channel attention (ECA-RLDNet) is proposed. The algorithm designs a one-dimensional efficient channel attention mechanism to connect two feature extraction network units, uses the one-dimensional residual network to extract signal time series features, the attention mechanism gives higher weight to the key information of signal features, and further uses the long short-term memory to extract time series association features to obtain comprehensive and effective feature information. By simulating the modulation signal dataset under non-ideal channel and experimenting with the algorithm, the experimental results indicate that the highest recognition accuracy of ECA-RLDNet reaches 92.32%, which reduces the probability of confusion of high-order digital modulated signals.","PeriodicalId":276778,"journal":{"name":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125469986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multifractal Image Texture Analysis Combined with 2D Empirical Mode Decomposition 结合二维经验模态分解的多重分形图像纹理分析
2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT) Pub Date : 2023-06-16 DOI: 10.1109/AINIT59027.2023.10212874
Lei Yang, Tiegang Zhang, Feng Lu, Minxuan Zhang
{"title":"Multifractal Image Texture Analysis Combined with 2D Empirical Mode Decomposition","authors":"Lei Yang, Tiegang Zhang, Feng Lu, Minxuan Zhang","doi":"10.1109/AINIT59027.2023.10212874","DOIUrl":"https://doi.org/10.1109/AINIT59027.2023.10212874","url":null,"abstract":"The surface texture and microstructure of digital images have an important influence on the construction of features such as image analysis, transformation, and compression. Studies have shown that the fractal spectrum parameters of different types of subject matter will be significantly different. Multifractal spectra and scaling indices quantify the heterogeneity of structural features, demonstrating multiscaling properties. This paper proposes a multifractal spectrum algorithm combining empirical mode decomposition (EMD) and wavelet leaders, starting from the image texture classification task. This method describes the surface shape and microstructure of the image, extends the mode decomposition of the one-dimensional signal in the Hilbert-Huang transform to the two-dimensional image, and gives an image descriptor based on the fractal spectrum. Simulation results demonstrate the accuracy of the proposed method.","PeriodicalId":276778,"journal":{"name":"2023 4th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129574595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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