检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

170 篇 期刊文献
144 篇 会议
1 篇 学位论文

馆藏范围

315 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

272 篇 工学
- 127 篇 计算机科学与技术...
- 89 篇 电气工程
- 47 篇 控制科学与工程
- 46 篇 信息与通信工程
- 25 篇 电子科学与技术（可...
- 23 篇 软件工程
- 21 篇 机械工程
- 12 篇 仪器科学与技术
- 12 篇 材料科学与工程（可...
- 12 篇 土木工程
- 10 篇 化学工程与技术
- 9 篇 交通运输工程
- 8 篇 石油与天然气工程
- 6 篇 动力工程及工程热...
- 6 篇 航空宇航科学与技...
- 6 篇 环境科学与工程（可...
- 6 篇 安全科学与工程
- 5 篇 建筑学
- 4 篇 冶金工程
- 4 篇 测绘科学与技术
61 篇 理学
- 24 篇 物理学
- 11 篇 数学
- 8 篇 化学
- 7 篇 生物学
- 5 篇 系统科学
- 4 篇 地球物理学
36 篇 管理学
- 33 篇 管理科学与工程(可...
17 篇 医学
- 13 篇 临床医学
5 篇 法学
- 4 篇 法学
4 篇 农学
3 篇 教育学
2 篇 哲学
2 篇 经济学
2 篇 军事学
1 篇 艺术学

主题

315 篇 algorithm optimi...
16 篇 genetic algorith...
12 篇 algorithms
10 篇 machine learning
9 篇 deep learning
8 篇 feature extracti...
6 篇 artificial intel...
5 篇 automation
5 篇 big data
5 篇 optimization
5 篇 genetic algorith...
5 篇 parallel computi...
5 篇 neural network
5 篇 cloud computing
5 篇 computer vision
4 篇 computational co...
4 篇 hybrid systems
4 篇 path planning
4 篇 manifolds
3 篇 internet of thin...

机构

2 篇 east china norma...
2 篇 cent south univ ...
2 篇 jozef stefan ins...
2 篇 univ chinese aca...
2 篇 beijing jiaotong...
2 篇 shandong acad sc...
2 篇 huawei technol p...
2 篇 cent south univ ...
2 篇 tech univ munich...
2 篇 univ waterloo de...
2 篇 univ chinese aca...
2 篇 chinese acad sci...
2 篇 natl univ def te...
2 篇 chinese acad sci...
2 篇 chinese univ hon...
2 篇 college of commu...
1 篇 the state key la...
1 篇 universitas meth...
1 篇 netflix inc.
1 篇 csiro informatio...

作者

3 篇 farzin taringoo
3 篇 peter e. caines
2 篇 sheng shuo
2 篇 ghidarcea mircea
2 篇 ning jingyi
2 篇 novak roman
2 篇 yang wuhao
2 篇 yan chungang
2 篇 liu xin
2 篇 wang zhihua
2 篇 jia panqi
2 篇 wang shuai
2 篇 liu ying
2 篇 zhang chun
2 篇 nasseri reza
2 篇 sha edwin hsing-...
2 篇 guan jing
2 篇 guo ruifeng
2 篇 popescu decebal
2 篇 jin xiaofeng

语言

292 篇 英文
14 篇 其他
7 篇 中文
3 篇 法文
2 篇 德文
1 篇 俄文

检索条件"主题词=algorithm optimization"

共 315 条记录，以下是251-260 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

A Study on Adaptive Gradient Clipping algorithms for Differential Privacy: Enhancing Cyber Security and Trust

A Study on Adaptive Gradient Clipping Algorithms for Differe...

引用

2024 IEEE Cyber Science and Technology Congress

作者： Chen, Siman Liang, Wei Hunan Univ Technol & Business Frontier Interdisciplinary Coll Changsha Peoples R China Hunan Univ Technol & Business Xiangjiang Lab Changsha Peoples R China

ISBN: (纸本)9798331532109;9798331532093

Privacy protection in federated learning is addressed by proposing an adaptive gradient clipping algorithm that simplifies the parameter tuning challenges associated with traditional gradient clipping methods. Existing privacy protection technologies are reviewed, highlighting the strengths and limitations of current differential privacy and gradient clipping techniques, and the trade-offs between managing data heterogeneity and model performance are examined. The paper introduces the mathematical principles of differential privacy and elaborates on the implementation of the proposed algorithm. By dynamically adjusting the clipping threshold, the algorithm adaptively optimizes gradient clipping parameters throughout various training stages and under different data heterogeneity conditions. Experimental validation on the NSL-KDD dataset, using both Gaussian and Laplacian mechanisms for privacy protection, evaluates the algorithm's performance and privacy protection efficacy. Results comparing the traditional DPSGD with the Ada-DPSGD algorithm demonstrate the benefits of the adaptive gradient clipping approach, showing that Ada-DPSGD consistently achieves higher model accuracy and more stable training outcomes under various noise parameter settings.

关键词： Differential Privacy Cyber Security Gradient Clipping algorithm optimization

来源：评论

学校读者我要写书评

暂无评论

Data Rearrangement Optimized FIR High-Pass Filter Implemented on FPGA 8

Data Rearrangement Optimized FIR High-Pass Filter Implemente...

引用

8th International Conference on Communication and Information Systems, ICCIS 2024

作者： Li, Guangbin Yang, Wendong Zeng, Zhaoping Li, Yutang Li, Chunlin Huang, Mingqiang Yang, Liangtao Wu, Jinglong Liaoning Technical University School of Electronic and Information Engineering Huludao China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Capital Medical University School of Biomedical Engineering Beijing China

ISBN: (纸本)9798331531171

Filtering plays a crucial role in digital signal processing systems. Filters are required to meet the demands of high precision in signal separation and high-speed processing. It is still challenging to improve the filtering speed while maintaining high accuracy. In this study, a high performance finite impulse response (FIR) high-pass filter based on FPGA which supports floating-point computation is presented. The strategy of computation data rearrangement is used to efficiently store and retrieve raw data and intermediate value. On the other hand, a high-speed data transmission system was established for the filter module to reduce clock delays caused by data waiting, thereby the filtering speed is further enhanced. After implementation on FPGA, the results indicate that the filter achieves high filtering accuracy while significantly enhancing filtering speed. This design achieved high accuracy with only 0.39% to 1.95% mean square error, and a filtering speed of 0.0017s, representing a 470-fold increase in filtering speed compared to the model implemented on a CPU platform and 1.50-fold higher than our previous report. © 2024 IEEE.

关键词： algorithm optimization Data Rearrangement FIR Filter FPGA

来源：评论

学校读者我要写书评

暂无评论

Newton-Geodesic HMP algorithms for the optimization of Hybrid Systems and the Geometric Properties of Hybrid Value Functions

Newton-Geodesic HMP Algorithms for the Optimization of Hybri...

引用

IEEE Annual Conference on Decision and Control

作者： Farzin Taringoo Peter E. Caines Department of Electrical and Computer Engineering and the Centre for Intelligent Machines McGill University

ISBN: (纸本)9781467320658

This paper provides algorithms for the optimization of autonomous hybrid systems based on the geometrical properties of switching manifolds. The first and second sections of the paper introduce optimal hybrid control systems and the third section presents the Newton-Geodesic-Hybrid Minimum Principle (HMP) which is an extension of the Gradient Geodesic-HMP algorithm in [4]. In the fourth section, we extend the analysis yielding the Newton-Geodesic-HMP algorithm to relate the difference of the curvatures of the ambient and switching manifolds to second order variations of the hybrid value function. Finally an example is given to illustrate the results.

关键词： hybrid systems IMMT gene Hybrid control systems Manifolds algorithm optimization algorithms HYBRID Hybrid electric vehicles

来源：评论

学校读者我要写书评

暂无评论

Overview of UAV-Based Overhead Power Line Defect Detection Based on Deep Learning 6

Overview of UAV-Based Overhead Power Line Defect Detection B...

引用

6th IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2024

作者： Tian, Xiaoxi Wang, Xin Liu, Zhenpeng Peng, Baoquan Liu, Yuwei School of Electrical and Control Engineering Shenyang Jianzhu University Shenyang China Shenyang Jianzhu University University Government Departments Shenyang China

ISBN: (纸本)9798350374315

Unmanned Aerial Vehicles (UAV) equipped with various sensors can efficiently and safely perform automated detection of overhead power lines. Deep learning-based image recognition technology plays a crucial role in this field, as it can automatically identify and classify power Line defects, enhancing the accuracy and efficiency of the detection process. This paper first outlines the main procedures of UAV-based overhead power line defect detection. It then provides an overview of the key technologies in deep learning-based UAV detection, focusing on algorithm analysis, dataset construction, evaluation metrics, and model lightweight. Finally, it discusses the challenges and prospects of deep learning-based UAV detection for overhead power line defects. © 2024 IEEE.

关键词： algorithm optimization Data set construction Deep learning Image defect detection Model lightweight UAV detection

来源：评论

学校读者我要写书评

暂无评论

Performance Analysis of Cloud-Assisted Resource Allocation algorithms in 6G Networks 2

Performance Analysis of Cloud-Assisted Resource Allocation A...

引用

2nd International Conference on Disruptive Technologies, ICDT 2024

作者： Yadav, Ravi Kant Chattopadhyay, Saumitra Jaidka, Preeti Upadhyay, Prashant Veer Bahadur Singh Purvanchal University Department of Cse UP Jaunpur India Graphic Era Hill University Computer Science and Engineering Uttarakhand Dehradun248002 India Jss Academy of Technical Education Department of Electronics and Communication Engineering Noida India School of Zengineering and Technology Sharda University Department of Computer Science and Engineering Gautam Budh Nagar India

ISBN: (纸本)9798350371055

This paper presents the performance analysis of cloud-assisted resource allocation algorithms in 6G networks. With the rapid growth of wireless applications and network traffic in 6G networks, optimization of resource allocation has become an important challenge for unifying the radio and cloud resources. The cloud-assisted resource allocation algorithms are proposed to enhance the efficiency of resource management and reduce the cost of communication. This paper studies two cloud-assisted resource allocation algorithms: one based on queue-based dynamic resource allocation and the other based on spatial resource partitioning. Both algorithms are evaluated for their performance in terms of latency, throughput, fairness, and latency fairness. The results show that queue-based dynamic resource allocation algorithm performs better than the spatial resource partitioning algorithm in most cases. In addition, this paper presents an analysis of the scalability and robustness of the proposed algorithms. The results show that both algorithms have a good scalability up to tens of users in 6G networks. Finally, this paper proposes a methodology to optimize resource allocation in 6G networks. This proposed framework combines the cloud-assisted resource allocation algorithms with the existing techniques and practices in order to achieve good performance under realistic scenarios. © 2024 IEEE.

关键词： 6G Networks algorithm optimization Cloud Computing Performance Analysis Resource Allocation

来源：评论

学校读者我要写书评

暂无评论

Efficient Data Sampling and Reduction Methods in Large-Scale Forensic Analysis

Efficient Data Sampling and Reduction Methods in Large-Scale...

引用

2024 OPJU International Technology Conference on Smart Computing for Innovation and Advancement in Industry 4.0, OTCON 2024

作者： Harika, Ala Sharma, Praveen Aravinda, K. Nagpal, Amandeep Praveen Albawi, Ali Institute of Aeronautical Engineering Hyderabad Dundigal India Ies Insititute of Technology and Management Ies University Department of Computer Science & Engineering M. P Bhopal India New Horizon College of Engineering Department of Electronics and Communication Engineering Bangalore India Lovely Professional University Phagwara India Lloyd Institute of Engineering & Technology Knowledge Park II Uttar Pradesh Greater Noida201306 India The Islamic University College of Medical Technology Radiology Techniques Department Najaf Iraq

ISBN: (纸本)9798350373783

In this era of enormous, continuously changing datasets, forensic analysis needs innovative approaches that can adapt to changing data characteristics while maintaining data security. To satisfy this demand, our recommended system includes all algorithms for large forensic investigations. The adaptive stratified sampling algorithm sets the scene. It adjusts strata and sample quantities based on data attributes. The Feature Weighting with Machine Learning algorithm improves selection by weighting features using machine learning. Based on them, the dynamic cluster-based sampling algorithm organizes data points dynamically. By determining how much information each data point has, the entropy-guided data reduction algorithm improves the framework. The Temporal Correlation Analysis algorithm finally allows you to view changing data. Tables3 and Tables4 indicate that our approach outperforms others in several key areas. The recommended technique outperforms others in accuracy, memory, F1 score, usability, stability, legal acceptability, ease of application, computing complexity, and freedom. The findings in Figures.6-10 indicate that the proposed framework can balance accuracy and memory, decrease data, and be highly usable, stable, and versatile. Finally, our technology represents a novel technique to conduct large-scale research. It is fast, adaptable, and data-safe. Machine learning, dynamic changes, and temporal variables make our platform robust and comprehensive for current forensic investigations. © 2024 IEEE.

关键词： Adaptive Stratified Sampling algorithm algorithm optimization Data Reduction Data Sampling Dynamic Cluster-based Sampling Entropy-guided Data Reduction Feature Weighting Forensic Analysis Machine Learning Temporal Correlation Analysis

来源：评论

学校读者我要写书评

暂无评论

A MODEL-BASED APPROACH TO MULTI-OBJECTIVE optimization 15

A MODEL-BASED APPROACH TO MULTI-OBJECTIVE OPTIMIZATION

引用

Simulation Conference

作者： Joshua Q. Hale Enlu Zhou Georgia Institute of Technology Atlanta GA

ISBN: (纸本)9781467397414

We develop a model-based algorithm for the optimization of multiple objective functions that can only be assessed through black-box evaluation. The algorithm iteratively generates candidate solutions from a mixture distribution over the solution space and updates the mixture distribution based on the sampled solutions' domination count such that the future search is biased towards the set of Pareto optimal solutions. The proposed algorithm seeks to find a mixture distribution on the solution space so that 1) each component of the mixture distribution is a degenerate distribution centered at a Pareto optimal solution and 2) each estimated Pareto optimal solution is uniformly spread across the Pareto optimal set by a threshold distance. We demonstrate the performance of the proposed algorithm on several benchmark problems.

关键词： Solution space optimal solution critical distance Benchmark testing algorithm optimization

来源：评论

学校读者我要写书评

暂无评论

Bayesian optimization with a Finite Budget: An Approximate Dynamic Programming Approach 16

Bayesian Optimization with a Finite Budget: An Approximate D...

引用

Annual Conference on Neural Information Processing Systems

作者： Remi R. Lam Karen E. Willcox David H. Wolpert Massachusetts Institute of Technology Cambridge MA Santa Fe Institute Santa Fe NM

ISBN: (纸本)9781510838819

We consider the problem of optimizing an expensive objective function when a finite budget of total evaluations is prescribed. In that context, the optimal solution strategy for Bayesian optimization can be formulated as a dynamic programming instance. This results in a complex problem with uncountable, dimension-increasing state space and an uncountable control space. We show how to approximate the solution of this dynamic programming problem using rollout, and propose rollout heuristics specifically designed for the Bayesian optimization setting. We present numerical experiments showing that the resulting algorithm for optimization with a finite budget outperforms several popular Bayesian optimization algorithms.

关键词： dynamic programming Bayesian inference CONSOLE Budgets Uncountable state space algorithm optimization Finite Approximate

来源：评论

学校读者我要写书评

暂无评论

Relational Joins on GPUs for In-memory Database Query Processing

Relational Joins on GPUs for In-memory Database Query Proces...

引用

作者： Rui, Ran University of South Florida

学位级别：Ph.D.

Relational join processing is one of the core functionalities in database management systems. Implementing join algorithms on parallel platforms, especially modern GPUs, has gain a lot of momentum in the past decade. This dissertation addresses the following issues on GPU join algorithms. First, we present empirical evaluations of a state-of-the-art work on GPU-based join processing. Since 2008, the compute capabilities of GPUs have increased following a pace faster than that of the multi-core CPUs. We run a comprehensive set of experiments to study how join operations can benefit from such rapid expansion of GPU capabilities. We also present improved GPU programs that take advantage of new GPU hardware/software features such as read-only data cache, large L2 cache, and shuffle instructions. Second, we report new design and implementation of join algorithms with high performance under today's GPGPU environment. In particular, we overhaul the popular radix hash join and redesign sort-merge join algorithms on GPUs by applying a series of novel techniques to utilize the hardware capacity of latest Nvidia GPU architecture and new features of the CUDA programming framework. Our algorithms take advantage of revised hardware arrangement, larger register file and shared memory, native atomic operation, dynamic parallelism, and CUDA Streams. Lastly, we explore how join processing would benefit from the adaptation of multiple GPUs. We identify the low rate and complex patterns of data transfer among the CPU and GPUs as the main challenges in designing efficient algorithms for large table joins, and we propose three distinctive designs of multi-GPU join algorithms, namely, the nested loop, global sort-merge and hybrid joins to overcome such challenges. Extensive experiments running on multiple databases and two different hardware configurations demonstrate high scalability of our algorithms over data size and significant performance boost brought by the use of multiple GPUs. F

关键词： algorithm Design algorithm optimization Emerging Hardware Parallel Computing Query Performance

来源：评论

学校读者我要写书评

暂无评论

A design method for digital phase-locked loop

A design method for digital phase-locked loop

引用

2015 4th National Conference on Electrical,Electronics and Computer Engineering(NCEECE 2015)

作者： Ru Jiyuan Liu Yujia Xue Wei Harbin Engineering University College of information and Communication Engineering

ISBN: (纸本)9781510819085

The design method of the digital phase-locked loop is presented,according to the parameters of the center frequency, the loop filter bandwidth, etc. The modules,phase detector(PD), loop filter(LF), voltage controlled oscillator(VCO),have the similar behavior with that of the analog phase-locked loop(APLL) by using Laplace transform and bilinear transformation. For the case of lacking Quartus II license for numerical controlled oscillator(NCO) IP core, It can be replaced by the module designed by using triangle transform which is high-precision. Since enormous numbers of LEs in FPGA will be occupied by the multiplier of filters, the optimization algorithmis presented utilizingaddition operation and shifting operation rather than multiply operation, which reduces resources used on the system. The design result is simulated and realized on FPGA development board, which confirms that the design method is feasible.

关键词： phase-locked loop FPGA digital processing algorithm optimization coherent demodulation

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共32页 << < 22 23 24 25 26 27 28 29 30 31 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：