检索结果-内蒙古大学图书馆

14th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2022

作者： Li, Jiayi Zhang, Zihang Lei, Zhenyu Yi, Junyan Gao, Shangce University of Toyama Faculty of Engineering Toyama930-8555 Japan Beijing University of Civil Engineering and Architecture Department of Computer Science and Technology Beijing100044 China

ISBN: (数字)9781665461696

ISBN: (纸本)9781665461696

Spherical evolution (SE) is a recently proposed meta-heuristic algorithm. Its special search approach has been proved to be very effective in exploring the search space. SE is very powerful for optimization, but still has room for improvement due to some promising solutions usually fail to survive into the next generation. To alleviate this issue, we innovatively design a novel lottery-based elite retention strategy and propose a lottery elite spherical evolution algorithm (LESE). To verify the effectiveness of the proposed LESE, we experimentally compare it with the original SE algorithm and other representative meta-heuristics algorithms. We use 30 benchmark functions from the IEEE CEC2017 benchmark as the test set for our experiments. The effectiveness of LESE is demonstrated by analyzing the experimental results from perspectives of solution accuracy, convergence speed, solution distribution, and search dynamics. © 2022 IEEE.

关键词： Spheres

来源：评论

学校读者我要写书评

暂无评论

Improved Least-Square DV-Hop Algorithm for Localization in large scale wireless sensor network

Improved Least-Square DV-Hop Algorithm for Localization in l...

引用

2022 International Conference on Control, Automation and Diagnosis, ICCAD 2022

作者： Mani, Rahma Sevillano, Jose Luis Liouane, Noureddine Laboratory of Automatic Signal and Image Processing National Engineering School of Monastir Monastir Tunisia Architecture and Computer Technology Departement Universidad de Sevilla Seville Spain

ISBN: (数字)9781665497947

ISBN: (纸本)9781665497947

Certain applications of wireless sensor networks require that the sensor nodes should be aware of their position relative to the sensor environment. Generally in the applications of positioning in the internet of things (IoT), there is a deficiency of localization precision and concrete results. It is really important to maintain high-efficient localization schemes for the Internet of things, especially for wireless sensor networks. For that, an improved DV-hop algorithm is proposed in this paper to move for more accurate results based on the least square method. Therefore, the weight coefficient is calculated between an anchor node and the other anchor nodes using the mean square method. Then, this weighting coefficient, the hop size, will be applied between the unknown nodes and the anchor nodes in order to determine the distances. The computed hop-size average significantly enhances the positioning accuracy which is approved by the experiments that explain how suitable this improved Last-Square DV-hop Algorithm is for localization in WSN. © 2022 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Relationship between the Nasal Region on Facial Thermal Images and the Flow Velocity of Nasal Breathing 4

Relationship between the Nasal Region on Facial Thermal Imag...

引用

4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022

作者： Hanawa, Dai Oguchi, Kimio Nagoya City University Graduate School of Design and Architecture Nagoya Japan National Taiwan University of Science and Technology Department of Electronics and Computer Engineering Taipei Taiwan

ISBN: (纸本)9781665419048

In this research, two experiments were performed to develop a noncontact measurement method for flow velocity in nasal breathing. On the basis of the results of our preliminary study, we first compared the instantaneous flow velocity of nasal breathing and the air temperature of inhalation and exhalation. Next, we compared the air temperature and the nasal regions on facial thermal images. Results showed that the correlation between flow velocity, air temperature, and the nasal region can be improved using a smoothing filter and our modified normalization procedure. © 2022 IEEE.

关键词： Flow velocity

来源：评论

学校读者我要写书评

暂无评论

Rapider-YOLOv7: Lightweight Infrared Object Detection Network

Rapider-YOLOv7: Lightweight Infrared Object Detection Networ...

引用

Pattern Recognition and Artificial Intelligence (PRAI), International Conference on

作者： Pucheng Xu Yuecheng Yu Rundong Zou Jinlong Shi Yongzheng Li School of Computer Science Jiangsu University of Science and Technology Zhenjiang China School of Naval Architecture and Ocean Engineering Jiangsu University of Science and Technology Zhenjiang China

ISBN: (数字)9798350350890

ISBN: (纸本)9798350350906

YOLOv7-tiny, as a lightweight variant of YOLOv7, boasts advantages of fast runtime and fewer parameters. However, when directly applied to infrared object detection, YOLOv7-tiny still faces challenges such as weak extraction of fine details, loss of semantic information, and high resource consumption. To address these issues, we propose a comprehensive balance between detection speed and accuracy in the Rapider-YOLOv7 object detection network. Firstly, it introduces the Exponential Spatial Pyramid Pooling with Channel Spatial Pyramid (Soft-SPPCSP) module to enhance the capability of the original model in extracting low contrast information from infrared images. Secondly, it designs the FO-CA attention module to strengthen the model's feature extraction capability for infrared images with weak textures. Furthermore, it devises the lightweight SFaster-net network, which incorporates SPDconv convolution for feature extraction to accelerate the model's feature extraction speed and enhance its capability to extract features from low-resolution images. Experimental results on the FLIR-v2 infrared dataset demonstrate that the mAP of the Rapider-YOLOv7 model reaches 62.6%, which is 2.9% higher than that of the original YOLOv7-tiny. Moreover, the FPS value on the RTX4060ti reaches 93.

关键词： Runtime Semantics Redundancy Object detection Feature extraction Real-time systems Neck Data mining Spatial resolution Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

BTBench: A Benchmark for Comprehensive Binary Translation Performance Evaluation

BTBench: A Benchmark for Comprehensive Binary Translation Pe...

引用

IEEE International Symposium on Performance Analysis of Systems and Software

作者： Xinyu Li Yanzhi Lan Gen Niu Feng Xue Fuxin Zhang State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences China

ISBN: (数字)9798350376388

ISBN: (纸本)9798350376395

Binary translation serves as a fundamental technol-ogy for instruction set emulation, system virtualization, runtime instrumentation, and numerous other applications. Many techniques have been proposed to enhance the efficiency of binary translation systems. However, imprecise performance evaluation leads to potential performance shortcomings of binary translators in real-world applications. Previous studies primarily employ CPU benchmarks, which may overlook performance issues spe-cific to binary translators and fail to guide for optimizing binary translation. To address this issue, we propose a new benchmark suite named BTBench(Binary Translation Benchmark), which provides a convenient, portable, and comprehensive solution. BT-Bench takes into account the inherent attributes of binary trans-lators, such as translation and code-cache lookup overhead. We carefully select benchmarks that offer comprehensive coverage and align with real-world application scenarios. To validate the effectiveness of BTBench, we conducted rigorous experimentation on four widely-used binary translators. The analysis of the results reveals that, compared to existing CPU benchmarks, BTBench is better suited for identifying potential performance shortcomings, providing invaluable insights for future optimization efforts. The BTBench benchmark suite is publicly available 1 •

关键词： Performance evaluation Codes Runtime Instruments Benchmark testing Software Pins

来源：评论

学校读者我要写书评

暂无评论

A Nonlinear Convolution Network for Image Enhancement and Translation Tasks

SSRN

引用

SSRN 2024年

作者： Bhattacharya, Jhilik Carini, Alberto Marsi, Stefano Ramponi, Giovanni Department of Computer Science and Engineering Thapar Institute of Engineering and Technology Patiala India Department of Architecture and Engineering University of Trieste Italy

In this paper we introduce a special nonlinear convolution block with sine and cosine transformations, channel gating and local linear filter operations, which allows improved nonlinear CNN-based modeling with small network sizes. We motivate and demonstrate significant improvement in the task performances with a major reduction in the network size, thanks to the use of such a nonlinear convolution block. We perform extensive experiments to verify the performance of the network for different image transformation tasks such as deraining, dehazing, deblurring, low to bright light and night to day transformation. For all instances the network either shows acceptable or better performances when compared to State-of-Art (SoA) techniques for each task using benchmark datasets. © 2024, The Authors. All rights reserved.

关键词： Image enhancement

来源：评论

学校读者我要写书评

暂无评论

Rockburst prediction using artificial intelligence techniques:A review

Rock Mechanics Bulletin

引用

Rock Mechanics Bulletin 2024年第3期3卷 1-13页

作者： Yu Zhang Kongyi Fang Manchao He Dongqiao Liu Junchao Wang Zhengjia Guo School of Electrical and Information Engineering Beijing University of Civil Engineering and ArchitectureBeijing100044China Beijing Key Laboratory of Intelligent Processing for Building Big Data Beijing University of Civil Engineering and ArchitectureBeijing100044China State Key Laboratory for Geomechanics and Deep Underground Engineering China University of Mining and TechnologyBeijing100083China Thomas Lord Department of Computer Science University of Southern CaliforniaLos Angeles90007CAUSA

Rockburst is a phenomenon where sudden,catastrophic failure of the rock mass occurs in underground deep regions or areas with high tectonic stress during the excavation *** disasters endanger the safety of people's lives and property,national energy security,and social interests,so it is very important to accurately predict *** rockburst prediction has not been able to find an effective prediction method,and the study of the rockburst mechanism is facing a *** the development of artificial intelligence(AI)techniques in recent years,more and more experts and scholars have begun to introduce AI techniques into the study of the rockburst *** previous research,several scholars have attempted to summarize the application of AI techniques in rockburst ***,these studies either are not specifically focused on reviews of the application of AI techniques in rockburst prediction,or they do not provide a comprehensive *** on the advantages of extensive interdisciplinary research and a deep understanding of AI techniques,this paper conducts a comprehensive review of rockburst prediction methods leveraging AI ***,pertinent definitions of rockburst and its associated hazards are ***,the applications of both traditional prediction methods and those rooted in AI techniques for rockburst prediction are summarized,with emphasis placed on the respective advantages and disadvantages of each ***,the strengths and weaknesses of prediction methods leveraging AI are summarized,alongside forecasting future research trends to address existing challenges,while simultaneously proposing directions for improvement to advance the field and meet emerging demands effectively.

关键词： Rockburst Rockburst prediction Artificial intelligence techniques

来源：评论

学校读者我要写书评

暂无评论

Meaning of the Clusters on Dimensionality Reduction by Word Clustering 12

Meaning of the Clusters on Dimensionality Reduction by Word ...

引用

12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022

作者： Deguchi, Toshinori Seo, Sinsuke Ishii, Naohiro Dept. of Electrical and Computer Engineering Gifu College Gifu Japan Interdisciplinary Technology Development Gifu College Gifu Japan Information Systems Architecture Advanced Institute of Industrial Technology Tokyo Japan

ISBN: (数字)9781665497558

ISBN: (纸本)9781665497558

In text mining, Latent Semantic Analysis (LSA) is the popular method to reduce the dimension of document vectors. Since LSA produces a set of topics by statistical information, the meaning of each topic is not *** proposed a method to reduce the dimension by clustering the words in the documents. This method produces a set of clusters of words instead of topics. Using Word2vec to vectorize the words, the mean vector of the cluster is calculated, which shows the meaning of the *** this paper, we show the dimensionality reduction and the meaning of the generated clusters by word cloud, on document classification problem with a subset of BBC Dataset. © 2022 IEEE.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Simulation Optimization Method for Intelligent Compaction Construction of Railway Subgrade Oriented Towards Quality Control

SSRN

引用

SSRN 2024年

作者： Ma, Zhaoxi Zhao, Qin Jia, Hongfei Sheng, Yiheng Yang, Mingsong Gu, Jingtian Zhu, Yiyun Hei, Xinhong Department of Civil Engineering and Architecture Xi’an University of Technology Xi’an710048 China Department of Computer Science and Engineering Xi’an University of Technology Xi’an710048 China

This study, conducted in the context of railway subgrade construction, focuses on quality control and explores an effective method by developing a simulation model and a real-time optimization algorithm. A real-time optimization algorithm was initially utilized to optimize the compaction scheme based on Intelligent Compaction (IC) technology. Subsequently, a comprehensive construction simulation process was established, defining features such as entity arrival patterns, service modes, queueing rules, and service processes, ensuring the accuracy and reliability of the simulation process. Simulation experiments were then conducted to determine the globally optimal compaction construction scheme. Comparison with the original construction scheme revealed that the optimal compaction scheme met quality requirements and improved construction efficiency by nearly 11.4%. Additionally, it facilitated synergistic operations with other construction activities. Thus, this study's quality control method offers a scientific and efficient management tool and decision-making basis for railway subgrade construction, possessing significant practical and promotional value. © 2024, The Authors. All rights reserved.

关键词： Discrete event simulation

来源：评论

学校读者我要写书评

暂无评论

Simulation Optimization Method for Intelligent Compaction Construction of Railway Subgrade Oriented Towards Quality Control

SSRN

引用

SSRN 2024年

关键词： Discrete event simulation

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：