检索结果-内蒙古大学图书馆

25th IEEE International Conference on Image Processing (ICIP)

作者： Jiao, Fulong Bhanu, Bir Univ Calif Riverside Ctr Res Intelligent Syst Riverside CA 92521 USA

ISBN: (纸本)9781479970612

Person re-identification(RE-ID) has played a significant role in the fields of image processing and computer vision because of its potential value in practical applications. Researchers are striving to design new algorithms to improve the performance of RE-ID but ignore the advantages of existing approaches. In this paper, motivated by deep reinforcement learning, we propose a Deep Agent which can integrate existing algorithms and enable them to complement each other. Two Deep Agents are designed to integrate algorithms for data augmentation and feature extraction parts separately for RE-ID. Experiment results demonstrate that the integrated algorithms can achieve a better accuracy than using each one of them alone.

关键词： Identification Reinforcement learning Deep Agent algorithm integration

来源：评论

学校读者我要写书评

暂无评论

A novel spectro-temporal index NDTeI combined with machine learning algorithm for Sentinel-2 cloud detection

引用

INTERNATIONAL JOURNAL OF REMOTE SENSING 2024年第12期45卷 4023-4045页

作者： Ai, Xinkai Xie, Shuai Sun, Lin Liu, Liangyun Shandong Univ Sci & Technol Coll Geodesy & Geomat Qingdao Peoples R China Qingdao Univ Technol Sch Informat & Control Engn 777 Jialingjiang East Rd Qingdao 266520 Peoples R China Chinese Acad Sci Aerosp Informat Res Inst Key Lab Digital Earth Sci Beijing Peoples R China

There are challenges for cloud detection over bright surfaces, especially for Sentinel-2 image without thermal band. In this paper, we developed a new cloud detection algorithm for Sentinel-2 data designed to tackle the challenges of cloud detection on bright targets. Our algorithm (called RF-NDTeI-SNIC) was built through the integration of Random Forest (RF) model, Normalized Difference Temporal Index (NDTeI) cloud index and Simple Non-Iterative Clustering (SNIC) image segmentation algorithm. First, RF and NDTeI were used to derive the initial and second stage's cloud detection results, respectively. Then, the RF- and NDTeI-based results were fused to remove the bright surfaces and land cover changes. Finally, the fusion results were further refined using SNIC for morphological processing. The proposed RF-NDTeI-SNIC algorithm was evaluated using nine challenging cloud-covered Sentinel-2 scenes with substantial bright surfaces. Results indicated that the average overall accuracy of our algorithm was 95.01%, with average commission rate of 10.19% for cloud. In addition, five commonly used Sentinel-2 cloud mask algorithms including s2cloudless, QA, Fmask, CDI and Tmask were selected for comparative analysis. Results suggested that our algorithm outperformed others with overall accuracies of 89.60-94.17% and cloud commission rate of 9.46-37.50%, and have significant advantages in terms of bright surfaces. In summary, the RF-NDTeI-SNIC algorithm we developed was capable of yielding accurate Sentinel-2 cloud masks, and the novel NDTeI cloud index we proposed gave a new and effective approach for improving the separability of clouds and bright surfaces.

关键词： Sentinel-2 cloud detection image compositing algorithm integration bright surfaces

来源：评论

学校读者我要写书评

暂无评论

Integrated Improved Ant Colony and DWA algorithm for Robot Dynamic Path Planning 20th

Integrated Improved Ant Colony and DWA Algorithm for Robot D...

引用

20th Chinese Intelligent Systems Conference

作者： Xue, Yuquan Wang, Liming Naval Univ Engn PLA Wuhan 430033 Peoples R China

ISBN: (纸本)9789819786527;9789819786503;9789819786497

Addressing the limitations of the ant colony algorithm in global path planning, such as its blind search tendencies, susceptibility to local optima, and slow convergence, as well as the Dynamic Window Approach (DWA) algorithm's inadequacies in effectively avoiding dynamic obstacles in local path planning, this study proposes a hybrid strategy that integrates an improved ant colony algorithm with the DWA algorithm. This strategy enhances the heuristic function of the ant colony algorithm by combining the actual distance from the current node to adjacent nodes with the relative distance from adjacent nodes to the target point, making the heuristic information more aligned with the real-world search environment. The pheromone update strategy integrates local and global optimal path information with meticulous control over pheromone evaporation, balancing exploration and exploitation and preventing premature convergence of the algorithm. Furthermore, the DWA algorithm's local path planning capabilities are strengthened by incorporating target-oriented evaluation functions, speed evaluation functions, and obstacle avoidance evaluation functions, enabling the robot to more flexibly respond to changes in its environment. This study implemented the algorithm optimization through the following steps: initializing algorithm parameters and the environment map;employing the improved Ant Colony Optimization (ACO) for global path searching;utilizing DWA for local path decisions and obstacle avoidance;and continuously optimizing global and local avoidance strategies through iterative updates and feedback mechanisms. A series of simulation experiments demonstrate that the proposed integrated strategy significantly enhances path planning efficiency, reduces path length, and improves obstacle avoidance capabilities, providing an effective solution for path planning issues in complex environments.

关键词： Ant colony optimization Dynamic window approach Dynamic path planning Obstacle avoidance algorithm integration

来源：评论

学校读者我要写书评

暂无评论

Robustness Optimization algorithm with Multi-Granularity integration for Scale-Free Networks Against Malicious Attacks

引用

昆明理工大学学报(自然科学版) 2025年第1期50卷 54-71页

作者： ZHANG Yiheng LI Jinhai Data Science Research Center Kunming University of Science and TechnologyKunming 650500China Faculty of Science Kunming University of Science and TechnologyKunming 650500China

Complex network models are frequently employed for simulating and studyingdiverse real-world complex *** these models,scale-free networks typically exhibit greater fragility to malicious ***,enhancing the robustness of scale-free networks has become a pressing *** address this problem,this paper proposes a Multi-Granularity integration algorithm(MGIA),which aims to improve the robustness of scale-free networks while keeping the initial degree of each node unchanged,ensuring network connectivity and avoiding the generation of multiple *** algorithm generates a multi-granularity structure from the initial network to be optimized,then uses different optimization strategies to optimize the networks at various granular layers in this structure,and finally realizes the information exchange between different granular layers,thereby further enhancing the optimization *** propose new network refresh,crossover,and mutation operators to ensure that the optimized network satisfies the given ***,we propose new network similarity and network dissimilarity evaluation metrics to improve the effectiveness of the optimization operators in the *** the experiments,the MGIA enhances the robustness of the scale-free network by 67.6%.This improvement is approximately 17.2%higher than the optimization effects achieved by eight currently existing complex network robustness optimization algorithms.

关键词： complex network model multi-granularity scale-free networks robustness algorithm integration

来源：评论

学校读者我要写书评

暂无评论

Map Matching integration algorithm Based on Historical Trajectory Data

Map Matching Integration Algorithm Based on Historical Traje...

引用

IEEE International Symposium on Product Compliance Engineering-Asia (IEEE ISPCE-EN)

作者： Lai, Xin Chen, Jianhua Cao, Jingjing Xia, Fei Wuhan Univ Technol Sch Logist Engn Wuhan Peoples R China

ISBN: (纸本)9781728163604

The insufficient accuracy of GPS technology leads to the sampling trajectory data being away from the actual road. In order to improve the accuracy of GPS trajectory data for matching to map, a map matching integration algorithm based on historical trajectory data is proposed. Firstly projection distance and hidden Markov model are used respectively to compare the matching results. Then the difference road segments are found and the DBSCAN algorithm is used to cluster the historical trajectory data to adjust the segments. Our experiment uses the truck trajectory data to test the algorithm. The results show that the map matching integration algorithm effectively improves the accuracy of map matching.

关键词： Map Matching Trajectory Clustering GPS Data algorithm integration

来源：评论

学校读者我要写书评

暂无评论

Simplifying Signaling Pathway Reconstruction with Containerized Random Walk algorithms 2024

Simplifying Signaling Pathway Reconstruction with Containeri...

引用

Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2

作者： Yancheng Liu Anna Ritz Reed College Portland OR USA

ISBN: (纸本)9798400704246

Protein interactions and cellular responses are fundamental pillars of molecular systems biology. Decoding these complex signaling pathways requires advanced computational methods. One promising direction of algorithm development is using graph algorithms to identify proteins involved in signaling pathways. Despite the availability of tools, many researchers grapple with software and user experience constraints. In response, we have developed the Signaling Pathway Reconstruction Analysis Streamliner (SPRAS), a robust containerized framework that enables users to easily reconstruct signaling pathways by connecting proteins of interest within molecular interaction networks. It seamlessly integrates graph algorithms designed for pathway reconstruction with downstream visualization and clustering analysis. We contribute and integrate three random-walk-based algorithms to SPRAS, including one algorithm we developed for large networks and two other algorithms that appear in the literature. Random walk approaches have been highly successful in predicting candidate proteins involved in a signaling pathway, and integrating them into SPRAS will greatly expand the framework's ability for pathway reconstruction. We illustrate their importance by using the random walk algorithms now available in SPRAS to explore potential proteins involved in cell-cell fusion in flies. In our computational experiments, five fly proteins appeared in multiple reconstructed pathways, suggesting a potential role for them in cell-cell fusion. With the addition of these new algorithms, SPRAS will become an essential tool for unraveling the mysteries of biological interactions.

关键词： algorithm implementation algorithm integration benchmarking computational methods docker downstream analysis pathway reconstruction protein-protein interactions systems biology

来源：评论

学校读者我要写书评

暂无评论

OPAL-The Toolbox for the integration and Analysis of IoT in a Semantically Annotated Way

引用

SENSORS 2021年第12期21卷 4002-4002页

作者： Hertweck, Philipp Hellmund, Tobias Mossgraber, Juergen Fraunhofer IOSB D-76131 Karlsruhe Germany

Industrial Internet of Things (IIoT) applications are being used more and more frequently. Data collected by various sensors can be used to provide innovative digital services supporting increasing efficiency or cost reduction. The implementation of such applications requires the integration and analysis of heterogeneous data coming from a broad variety of sensors. To support these steps, this paper introduces OPAL, a software toolbox consolidating several software components for the semantically annotated integration and analysis of IoT-data. Data storage is realized in a standardized and INSPIRE-compliant way utilizing the SensorThings API. Supporting a broad variety of use cases, OPAL provides several import adapters to access data sources with various protocols (e.g., the OPC UA protocol, which is often used in industrial environments). In addition, a unified management and execution environment, called PERMA, is introduced to allow the programming language independent integration of algorithms.

关键词： Industrial Internet of Things data integration data processing platform algorithm integration SensorThings API container technology Docker IoT platform

来源：评论

学校读者我要写书评

暂无评论

Map Matching integration algorithm Based on Historical Trajectory Data

Map Matching Integration Algorithm Based on Historical Traje...

引用

IEEE Symposium on Product Compliance Engineering - Asia (ISPCE-CN)

作者： Xin LAI Jianhua CHEN Jingjing CAO Fei XIA School of Logistics Engineering Wuhan University of Technology Wuhan China

ISBN: (纸本)9781728163611

关键词： Map matching Trajectory clustering GPS data algorithm integration trajectory data integral algorithm MAPPING(MATHEMATICAL) maps

来源：评论

学校读者我要写书评

暂无评论

Probabilistic Time Context Framework for Big Data Collaborative Recommendation 2018

Probabilistic Time Context Framework for Big Data Collaborat...

引用

International Conference on Computing and Artificial Intelligence (ICCAI)

作者： Aboagye, Emelia Opoku James, Gee C. Gao Jianbin Kumar, Rajesh Khan, Riaz Ullah Univ Elect Sci & Technol China Chengdu Sichuan Peoples R China

ISBN: (纸本)9781450364195

A parallel scheme based on Probabilistic Tensor Factorization which addresses the scalability problem of Collaborative Filtering (CF) is proposed for big data processing. Parallel algorithms for large scale recommendation problems have witnessed advancements in the big data era in recent times. Matrix Factorization models have been enormously used to tackle such constraints, which we see as not scalable and does not converge easily unless numerous iterations making it computationally expensive. This study proposes a novel coordinate descent based probabilistic Tensor factorization method;Scalable Probabilistic Time Context Tensor Factorization (SPTTF) for collaborative recommendation. Our experiments with natural datasets show its efficiency.

关键词： Time contest tensor algorithm integration SPTTF

来源：评论

学校读者我要写书评

暂无评论

TESTING AND integration OF JPSS OZONE MAPPING AND PROFILER SUITE (OMPS) algorithmS USING THE algorithm DEVELOPMENT LIBRARY (ADL)

TESTING AND INTEGRATION OF JPSS OZONE MAPPING AND PROFILER S...

引用

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Das, Bigyani Wolf, Walter Flynn, Lawrence Caponi, Maria Beck, Trevor Zhang, Zhihua Niu, Jiangua IMSG Rockville MD 20852 USA NOAA NESDIS STAR College Pk MD 20740 USA SEAMM S Caponi & Associates Manhattan Beach CA 90266 USA

ISBN: (纸本)9781479979295

The Ozone Mapping and Profiler Suite (OMPS) consisting of three instruments, a Nadir Mapper (OMPS-NM), a Nadir Profiler (OMPS-NP) and a limb Profiler (OMPS-LP) was launched aboard Suomi NPP satellite in 2011. The instrument is also planned to be aboard JPSS satellite. The data from this instrument is processed at Interface Data Processing Segment (IDPS) built by Raytheon. The main products from OMPS include Total Column Ozone and Ozone Profile. algorithm Development Library (ADL) framework mimics IDPS system and is used to test, troubleshoot and integrate algorithm updates. The algorithm integration team (AIT) at NOAA STAR is tasked to integrate the algorithm updates in ADL that could be simply plugged in the operational system. In this paper we will present the process in detail and will discuss the results of the latest update of V8 algorithm from V6 algorithm for OMPS Nadir Profile instrument.

关键词： OMPS Ozone ADL JPSS algorithm integration

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：