检索结果-内蒙古大学图书馆

Driver distraction detection based on adaptive tiny targets and lightweight networks

Signal Processing: Image Communication 2025年 138卷

作者： Gu, Shuangshuang Wen, Bin Chen, Shiyao Li, Yuanyuan Qi, Guanqiu Shuai, Linhong Zhu, Zhiqin College of Automation Chongqing University of Posts and Telecommunications Chongqing 40065 China Chongqing Dima Industrial Co. LTD Chongqing China Computer Information Systems Department State University of New York at Buffalo State Buffalo 14222 NY United States Intelligent Interaction R&D Department Chongqing LiLong Zhongbao Intelligent Technology Co. Chongqing China

Driver distraction detection is critical to reducing road traffic accidents and increasing the efficiency of advanced driver assistance systems. Real-time lightweight models are especially important for in-vehicle devices with limited computing resources. However, most existing methods focus on designing lighter network architectures and ignore the performance loss when detecting tiny targets. In order to realize the collaborative optimization of tiny target detection accuracy and network lightweight, a driver distraction detection method ATD²Net based on adaptive tiny target detection and lightweight networks is proposed. This method aims to reduce model complexity while fully capturing target features for accurate detection. ATD²Net consists of three core modules, Channel Reconstruction Perception Module (CRPM), Dynamic Spatial Self-locking Module (DSSM) and Structural Feedback Optimization Module (SFOM). CRPM reconfigures channels and reconstructs them into batch dimensions, uses parallel strategies to perceive interactive features between channels, and significantly enhances feature extraction capabilities. DSSM adopts dynamic locking and adaptive spatial selection mechanisms to capture multi-scale features while injecting adaptive spatial information. It effectively aggregates instance features and reduces the interference of conflicting information and background information, thereby improving the detection ability of tiny targets. SFOM uses dependency trees to model inter-layer relationships and integrate coupling parameters into groupings. It uses a sparse strategy to remove unimportant parameters, achieving lightweight modeling while balancing accuracy and speed. Experimental results show that ATD²Net is superior to the latest methods in driver distraction detection, showing excellent performance and good application prospects. © 2025 The Authors

关键词： Channel reconfiguration perception Dynamic spatial self-locking Lightweighting Structural feedback optimization Target detection

来源：评论

学校读者我要写书评

暂无评论

Hybridization of Harmony Search with Nelder-Mead Algorithm for Combined Heat and Power Economic Dispatch Problem 36

Hybridization of Harmony Search with Nelder-Mead Algorithm f...

引用

第36届中国控制会议

作者： Zhi-Yong Feng Huiru Guo Zhen-Tao Liu Li Xu Jinhua She Hubei Key Laboratory of Advanced Technology of Automotive Parts Wuhan University of Technology School of Automation China University of Geosciences Department of Electronics and Information Systems Akita Prefectural University School of Computer Science Tokyo University of Technology

ISBN: (纸本)9781538629185

A new hybridized algorithm is developed to solve the combined heat and power economic dispatch(CHPED) *** to the non-convexity of the CHPED problem, the global optimum is difficult to achieve. The presented approach combines the algorithms of harmony search(HS) and Nelder-Mead(NM), and the hybridized algorithm is called the NM-HS algorithm. The hybridized NM-HS algorithm improves the efficiency of the two original algorithms, and also the robustness. Two benchmark examples demonstrate the good performance of the NM-HS algorithm. The solutions obtained is better than, or at least is the same as, other methods.

关键词： Economic dispatch Combined heat and power Harmony search Nelder-Mead Hybridized algorithm

来源：评论

学校读者我要写书评

暂无评论

A Region Enhanced Discrete Multi-Objective Fireworks Algorithm for Low-Carbon Vehicle Routing Problem

引用

Complex System Modeling and Simulation 2022年第2期2卷 142-155页

作者： Xiaoning Shen Jiaqi Lu Xuan You Liyan Song Zhongpei Ge Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Jiangsu Key Laboratory of Big Data Analysis TechnologySchool of AutomationNanjing University of Information Science and TechnologyNanjing 210044China School of Automation Nanjing University of Information Science and TechnologyNanjing 210044China Institute of Trustworthy Autonomous Systems and also with the Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent ComputationDepartment of Computer Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China

A constrained multi-objective optimization model for the low-carbon vehicle routing problem(VRP)is established.A carbon emission measurement method considering various practical factors is *** minimizes both the total carbon emissions and the longest time consumed by the sub-tours,subject to the limited number of available *** to the characteristics of the model,a region enhanced discrete multi-objective fireworks algorithm is proposed.A partial mapping explosion operator,a hybrid mutation for adjusting the sub-tours,and an objective-driven extending search are designed,which aim to improve the convergence,diversity,and spread of the non-dominated solutions produced by the algorithm,*** low-carbon VRP instances with different scales are used to verify the effectiveness of the new ***,comparison results with four state-of-the-art algorithms indicate that the proposed algorithm has better performance of convergence and distribution on the low-carbon *** provides a promising scalability to the problem size.

关键词： vehicle routing problem carbon emission multi-objective optimization fireworks algorithm region enhanced

来源：评论

学校读者我要写书评

暂无评论

Data science applications to improve accuracy of thermocouples 8

Data science applications to improve accuracy of thermocoupl...

引用

8th IEEE International Conference on Intelligent systems, IS 2016

作者： Zhengbing, Hu Jotsov, Vladimir Jun, Su Kochan, Orest Mykyichuk, Mykola Kochan, Roman Sasiuk, Taras School of Educational Information Technology Central China Normal University Wuhan China Department of Intelligent Systems Institute of Information Technologies Sofia Bulgaria School of Computer Science Hubei University of Technology Wuhan China Institute of Computer Technologies and Automation Lviv Polytechnic National University Lviv Ukraine

ISBN: (纸本)9781509013531

This paper considers the usage of artificial intelligence, in particular, neural networks, to correct and compensate thermocouple errors. There are the correction of the thermocouple tolerance, the error due to conversion characteristic drift under the influence of high operating temperatures as well as the compensation of the error due to acquired thermoelectric inhomogeneity of thermocouple legs proposed in this paper. The correction is carried out using individual mathematical models based on neural networks. It is proposed the neural network method for controlling a temperature field to compensate the error due to acquired thermoelectric inhomogeneity. © 2016 IEEE.

关键词： Thermocouples

来源：评论

学校读者我要写书评

暂无评论

Mathematical model of large-tone pyrolysis installations in production of ethylene

Mathematical model of large-tone pyrolysis installations in ...

引用

International Scientific Conference on Informatics 2018: Problems, Methodologies and Technologies, IPMT 2018

作者： Arapov, D.V. Tikhomirov, S.G. Podvalny, S.L. Kuritsyn, V.A. Faculty of Management and Informatics in Technological Systems Voronezh State University of Engineering Technologies Voronezh Russia Faculty of Information Technology and Computer Safety Voronezh State Technical University Voronezh Russia CJSC Engineering Systems of Automation in Industry Voronezh Russia

The model has a modular structure and includes a stochastic model of changing the composition of gasoline raw materials and the balance model of its preparation site, nonlinear models of pyrolysis of liquid and gaseous hydrocarbons, quenching of pyrogas, coke deposits, fuel combustion and coke burning. © Published under licence by IOP Publishing Ltd.

关键词： Pyrolysis

来源：评论

学校读者我要写书评

暂无评论

DeepGCN based on variable multi‐graph and multimodal data for ASD diagnosis

引用

CAAI Transactions on Intelligence Technology 2024年第4期9卷 879-893页

作者： Shuaiqi Liu Siqi Wang Chaolei Sun Bing Li Shuihua Wang Fei Li College of Electronic and Information Engineering Hebei UniversityBaodingChina Machine Vision Technology Innovation Center of Hebei Province BaodingChina The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijingChina School of Computer Science and Technology Henan Polytechnic UniversityJiaozuoChina

Diagnosing individuals with autism spectrum disorder(ASD)accurately faces great chal-lenges in clinical practice,primarily due to the data's high heterogeneity and limited sample *** tackle this issue,the authors constructed a deep graph convolutional network(GCN)based on variable multi‐graph and multimodal data(VMM‐DGCN)for ASD ***,the functional connectivity matrix was constructed to extract primary ***,the authors constructed a variable multi‐graph construction strategy to capture the multi‐scale feature representations of each subject by utilising convolutional filters with varying kernel ***,the authors brought the non‐imaging in-formation into the feature representation at each scale and constructed multiple population graphs based on multimodal data by fully considering the correlation between *** extracting the deeper features of population graphs using the deep GCN(DeepGCN),the authors fused the node features of multiple subgraphs to perform node classification tasks for typical control and ASD *** proposed algorithm was evaluated on the Autism Brain Imaging Data Exchange I(ABIDE I)dataset,achieving an accuracy of 91.62%and an area under the curve value of 95.74%.These results demon-strated its outstanding performance compared to other ASD diagnostic algorithms.

关键词： machine learning medical image processing medical signal processing

来源：评论

学校读者我要写书评

暂无评论

An Analysis of Driver's Avoiding Maneuver in a Highly Emergency Situation

引用

SICE Journal of Control, Measurement, and System Integration 2015年第1期8卷 27-33页

作者： Makoto Itoh Marie-Pierre Pacaux Lemoine Fré dé ric Robache Hervé Morvan Faculty of Engineering Information and Systems University of Tsukuba Laboratory of Industrial and Human Automation Mechanics and Computer Science University of Valenciennes

This paper discusses driver's emergency avoiding behavior while he or she is driving a car in a rural area. Based on behavioral data obtained from an experiment conducted in France with a high-fidelity driving simulator, the authors analyzed the driver behavior just before the collision. The results showed that the drivers tended to choose a “rational” behavior to avoid the collision by using the available visual cues even though the situation is extremely time critical, i.e., the time to collision was only approximately 1.5 seconds.

关键词： emergency automobile collision avoidance driving assistance

来源：评论

学校读者我要写书评

暂无评论

A swarm intelligence based searching strategy for articulated 3D human body tracking

A swarm intelligence based searching strategy for articulate...

引用

2010 IEEE computer Society Conference on computer Vision and Pattern Recognition - Workshops, CVPRW 2010

作者： Zhang, Xiaoqin Hu, Weiming Wang, Xiangyang Kong, Yu Xie, Nianhua Wang, Hanzi Ling, Haibin Maybank, Steve College of Mathematics and Information Science Wenzhou University Zhejiang China National Laboratory of Pattern Recognition Institute of Automation Beijing China School of Communication and Information Engineering Shanghai University Shanghai China School of Computer Science Beijing Institute of Technology Beijing China School of Computer Science University of Adelaide Australia Department of Computer and Information Science Temple University Philadelphia United States School of Computer Science and Information Systems Birkbeck College London United Kingdom

ISBN: (纸本)9781424470297

This paper proposes an annealed particle swarm optimization based particle filter algorithm for articulated 3D human body tracking. In our algorithm, a sampling covariance and an annealing factor are incorporated into the velocity updating equation of particle swarm optimization (PSO). The sampling covariance and the annealing factor are initiated with appropriate values at the beginning of the PSO iteration, and 'annealing' is carried out at reasonable steps. Experiments with multi-camera walking sequences from the Brown dataset show that: 1) the proposed tracker can effectively alleviate the problem of inconsistency between the image likelihood and the true model;2) the tracker is also robust to noise and body self-occlusion. © 2010 IEEE.

关键词： Swarm intelligence

来源：评论

学校读者我要写书评

暂无评论

Knowledge-based diagnosis of process systems using procedure HAZID information

Knowledge-based diagnosis of process systems using procedure...

引用

Lecture Notes in computer Science

作者： Werner-Stark, Ágnes Németh, Erzsébet Hangos, Katalin M. Department of Electrical Engineering and Information Systems University of Pannonia Veszprém Hungary School of Chemical Engineering University of Queensland Brisbane QLD Australia Process Control Research Group Systems and Control Laboratory Computer and Automation Research Institute Budapest Hungary

ISBN: (纸本)9783642238536

Earlier investigations show that the results of hazard identification (HAZID) and analysis (e.g. HAZOP or FMEA) can effectively be used for knowledge-based diagnosis of complex process systems in their steady-state operation. In order to extend this approach for transient operating conditions controlled by operating procedures, the notion of nominal input-output event sequences of qualitative signals has been introduced, and the deviations used in the procedure HAZID analysis have been defined therefrom. The diagnosis can then be performed algorithmically by matching the deviation sequences of the observed input-output event sequences and the nominal ones generated by qualitative dynamic models. The concepts and methods are illustrated using a simple case study consisting of a simple tank, controlled by an operating procedure. © 2011 Springer-Verlag.

关键词： Hazards

来源：评论

学校读者我要写书评

暂无评论

Online synchronous instruction: Challenges and solutions

Online synchronous instruction: Challenges and solutions

引用

2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009

作者： Leo, Tommaso Manganello, Flavio Pennacchietti, Martina Pistoia, Antonio Kinshuk Chen, Niang-Shin Department of Computer Science Management and Automation Engineering Università Politecnica delle Marche Ancona Italy School of Computing and Information Systems Athabasca University Canada Athabasca Canada Department of Information Management National Sun Yat-sen University Taoyuan Taiwan

ISBN: (纸本)9780769537115

Most of the online courses nowadays are offered in asynchronous mode, enabling students with the freedom of time and distance. Nonetheless, the drop-out rate for online courses is high. With online synchronous instruction students have both freedom of distance and punctuality of regular progress and the drop-out rate is found to be greatly reduced. However, there is a lack of online synchronous teaching pedagogies in the literature for teachers. This study aims to identify major issues that need to be considered in online synchronous instruction environments using observations of real online synchronous instruction in a physical setup. This paper then recommends some pedagogical guidelines for effective online synchronous teaching. © 2009 IEEE.

关键词： Teaching

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：