检索结果-内蒙古大学图书馆

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Wan-Jun Yu Da-You Liu Ni-Ya Li Quan Liu College of Computer Science & Technology JiLin University Changchun China Key Laboratory of Symbolic Computation and Knowledge Engineering Ministry of Education Changchun China

ISBN: (纸本)0780384032

PDM is an important technology of CIMS. The lifecycle management of PDM means that it is a process in which a product grows from conceptual generation, outline design to manufacture, maintenance, ultimately to be discarded as useless. This work introduces the background of PDM and the idea of PLM briefly; describes the hierarchy of the PDM; puts forward the architecture of PLM, the model of built-time and run-tune and the lifecycle service of state transition; finally, gives an example of PLM is given.

关键词： Project management Technology management educational technology Computer integrated manufacturing Product design Pulse width modulation educational institutions Computer science Laboratories knowledge engineering

来源：评论

学校读者我要写书评

暂无评论

A modified particle swarm optimization for combining forecasting

A modified particle swarm optimization for combining forecas...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： X.Y. Feng L.M. Wan Y.C. Liang Y.F. Sun H.P. Lee Y. Wang Kollege of Computer Science and Technology Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China College of Computer Science and Technology Key Laboratory for Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun China The 8th Research Institute of Air Force Beijing China Institute of High Performance Computing Singapore Singapore

A modified particle swarm optimization (PSO) algorithm is proposed. Linear constraints in the PSO are added to satisfy the normalization conditions for different problems. A hybrid algorithm based on the modified PSO and combining forecasting is presented. Combining forecasting can improve the forecasting accuracy through combining different forecasting methods. The effectiveness of the algorithm is demonstrated through the prediction on the sunspots and the stocks data. Simulated results show that the hybrid algorithm can improve the forecasting accuracy to a great extent.

关键词： Particle swarm optimization computational modeling Computer science educational technology Laboratories Military computing knowledge engineering Computer science education High performance computing Predictive models

来源：评论

学校读者我要写书评

暂无评论

Feature selection and text classification for Chinese Web documents

Feature selection and text classification for Chinese Web do...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Jian-Chao Xu Da-You Liu Ming Hu Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China School of Computer Science & Engineering Changchun University of Science and Technology Changchun China

ISBN: (纸本)0780384032

A great deal of methods for feature selection and text classification have been widely applied to English Web documents, while few studies have been done on Chinese Web documents. This paper gives a term weighting method based on inverse document frequency, HTML tags and length of Chinese phrase, reports our method to select Web text feature based on the messy genetic algorithm, provides an algorithm for Web text classification based on improvement on lattice machine approach. Our experiments show that these methods are valuable.

关键词： Text categorization Web pages Frequency knowledge engineering Genetic algorithms Lattices HTML Computer science educational technology Laboratories

来源：评论

学校读者我要写书评

暂无评论

Spatio-temporal database with multi-granularities

Lecture Notes in Computer Science (including subseries Lectu...

引用

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3129卷 137-146页

作者： Wang, Sheng-Sheng Liu, Da-You College of Computer Science and Technology Key Laboratory of Symbolic Computing and Knowledge Engineering of Ministry of Education Jilin University 130012 Changchun China

Spatio-temporal information process grows up quickly in these years. Although uncertain and multi-granularities is the common features of spatio-temporal data, those problems were not well solved yet. A new spatio-temporal granularity representation method which supports multiple granularities and uncertain spatio-temporal objects is put forward. Then this method is applied to a spatio-temporal database ASTD. By supporting multiple granularities and approximate region, ASTD can process the multiple level data together, perform the query in variant precision and handle uncertainty. Compared with similar systems, ASTD is more powerful in multiple granularities, uncertainty, object type and granularity operations. © Springer-Verlag 2004.

关键词： Query processing

来源：评论

学校读者我要写书评

暂无评论

Study on optimization of agent initial positions in land combat simulation

引用

自然科学进展(英文版) 2004年第3期14卷 257-261页

作者： WU Chunguo LIANG Yanchun LEE Heow Pueh LU Chun Yang Xiaowei College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun 130012 China Institute of High Performance Computing Singapore 117528 Singapore Institute of High Performance Computing Singapore 117528 Singapore Department of Applied Mathematics South China University of Technology Guangzhou 510640 China Centre for ACES Department of Mechanical Engineering National University of Singapore 119260 Singapore

The use of computational-intelligence-based techniques in the optimization of agent initial positions in land combat simulations is studied. A novel method for the reduction of support vectors in the support vector machine (SVM) is presented. The optimization on the width of the Gaussian kernel function and the combination of the SVM with the radial basis function neural network are performed in the proposed method. Simulation results show that the proposed method can improve the running efficiency drastically compared with that using the traditional SVM with the same precision. We also summarize and present some experiences and trends in the study on the optimization problem in land combat simulation.

关键词： multi-agent support vector machine radial basis function genetic algorithm regression

来源：评论

学校读者我要写书评

暂无评论

Searching for closed itemset with formal concept analysis

Searching for closed itemset with formal concept analysis

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Hong Qi Da-You Liu Cheng-Quan Hu Ming Lu Liang Zhao Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China Jilin University Changchun Jilin CN Coll. of Comput. Sci. & Technol. Jilin Univ. Changchun China College of Computer Science and Technology Jilin University Changchun China

ISBN: (纸本)0780384032

The problem of mining frequent patterns plays an essential role in many important data mining tasks. However, it often generates a very large number of frequent itemsets. The set of frequent closed itemsets uniquely determines the exact frequency of all itemsets, yet it can be orders of magnitude smaller than the set of all frequent itemsets. An algorithm Closearcher based on formal concept analysis for closed itemset searching is proposed. This algorithm divides the whole search space of closed itemsets into several subspaces in accordance with criterions prescribed ahead, and introduces an efficient scheme to recognize the valid ones, in which the search for closed itemsets is bounded. An intermediate structure is employed to judge the validity of a subspace and search closed itemsets more efficiently. The algorithm is experimental evaluated and compared with the famous NextClosure algorithm proposed by Ganter for random generated data, as well as for real application data. The results show that our algorithm performs much better than the later.

关键词： Itemsets Data mining Machine learning algorithms Pattern analysis Frequency Algorithm design and analysis Databases educational institutions Computer science educational technology

来源：评论

学校读者我要写书评

暂无评论

Spatio-temporal representation for multi-dimensional occlusion relation

Spatio-temporal representation for multi-dimensional occlusi...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Sheng-Sheng Wang Da-You Liu Xiao-Dong Liu Bo Yang College of Computer Science and Technology Key Laboratory of Symbolic Computing and Knowledge Engineering of Ministry of Education Jilin University Changchun China

ISBN: (纸本)0780378652

Occlusion relation is the topological relation between the images of two bodies from a viewpoint. Qualitative representation of occlusion relation has been investigated in qualitative spatial reasoning. This research is important for computer vision and robot navigation. The previous models such as LOS and ROC-20 are all based on RCC (the famous topological theory). But those models couldn't support abstract objects such as point and line which are very common in real applications. To deal with this, multi-dimensional spatial occlusion relation (MSO) is put forward. The foundation of MSO is MRCC which is the multi-dimensional extension of RCC. So MSO is suitable for both real and abstract objects. The conception neighborhood and composition of MSO is given. Finally MSO is extended to spatio-temporal relation by adding time feature. MSO is an appropriate frame to express spatio-temporal knowledge.

关键词： Computer vision Navigation Topology educational institutions Computer science Laboratories knowledge engineering Computer science education Robot vision systems Application software

来源：评论

学校读者我要写书评

暂无评论

MAINet: Modality-Aware Interaction Network for Medical Image Fusion

引用

ACM Transactions on Multimedia Computing, Communications, and Applications 1000年

作者： Lisi Wei Libo Zhao Xiaoli Zhang College of Computer Science and Technology Jilin University China College of Artificial Intelligence and Big Data Hulunbuir University China and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China College of Computer Science and Technology Jilin University China and Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China

Due to the limitations of imaging sensors, obtaining a medical image that simultaneously captures both functional metabolic data and structural tissue details remains a significant challenge in clinical diagnosis. To address this, Multimodal Medical Image Fusion (MMIF) has emerged as an effective technique for integrating complementary information from multimodal source images, such as CT, PET, and SPECT, which is critical for providing a comprehensive understanding of both anatomical and functional aspects of the human body. One of the key challenges in MMIF is how to exchange and aggregate this multimodal information. This paper rethinks MMIF by addressing the harmony of modality gaps and proposes a novel Modality-Aware Interaction Network (MAINet), which leverages cross-modal feature interaction and progressively fuses multiple features in graph space. Specifically, we introduce two key modules: the Cascade Modality Interaction (CMI) module and the Dual-Graph Learning (DGL) module. The CMI module, integrated within a multi-scale encoder with triple branches, facilitates complementary multimodal feature learning and provides beneficial feedback to enhance discriminative feature learning across modalities. In the decoding process, the DGL module aggregates hierarchical features in two distinct graph spaces, enabling global feature interactions. Moreover, the DGL module incorporates a bottom-up guidance mechanism, where deeper semantic features guide the learning of shallower detail features, thus improving the fusion process by enhancing both scale diversity and modality awareness for visual fidelity results. Experimental results on medical image datasets demonstrate the superiority of the proposed method over existing fusion approaches in both subjective and objective evaluations. We also validated the performance of the proposed method in applications such as infrared-visible image fusion and medical image segmentation.

关键词： Multimodal fusion Medical image fusion Cascade modality interaction Modality-awareness Graph convolutional network

来源：评论

学校读者我要写书评

暂无评论

Collaborative WSN-UAV Data Collection in Smart Agriculture: A Bi-objective Optimization Scheme

引用

ACM Transactions on Sensor Networks 1000年

作者： Geng Sun Xiaoya Zheng Jiahui Li Hui Kang Shuang Liang 1) College of Computer Science and Technology Jilin University 2) Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University China College of Computer Science and Technology Jilin University China College of Information Science and Technology Northeast Normal University China

Smart agriculture which integrates the agriculture with Internet of Things (IoT) has attracted attention since it contributes to increase the productivity and quality of crops, reduce energy consumption and facilitate the farmers. Wireless sensor networks (WSNs) and unmanned aerial vehicles (UAVs) are two most commonly deployed devices that are used for enabling the smart agriculture. In this paper, we design a collaborative WSN-UAV system, wherein different clusters of sensor nodes form different sensor-based virtual antenna arrays (SVAAs) to transmit the collected data towards different receiver UAVs via adopting collaborative beamforming (CB), then the receiver UAVs will take the collected data back to the ground control station (GCS). We formulate a transmission rate and battery energy bi-objective optimization problem (TRBEBOP) to simultaneously maximize the total transmission rate of the sensor-based CB clusters and the total remaining battery energy of the selected sensor nodes, by selecting appropriate sensor nodes in each cluster that can form a predominant SVAA, determining suitable receiver UAVs and optimizing the excitation current weights of the selected sensor nodes. To handle the formulated TRBEBOP that is demonstrated to be non-convex and NP-hard, an enhanced non-dominated sorting genetic algorithm II (ENSGA-II) with several specific designs is presented. Simulation results validate the effectiveness of the proposed ENSGA-II for solving the formulated TRBEBOP. Moreover, compared with other benchmark algorithms, the superiority of the proposed ENSGA-II is demonstrated. In addition, the impacts of several fortuitous circumstances on the system are estimated, and the results illustrate the robustness of the proposed scheme. Finally, the discussion about several mechanisms to deal with the interference induced by the sidelobe levels and the impact of UAV movement on receiving rate are provided.

关键词： Smart agriculture wireless sensor networks unmanned aerial vehicles collaborative beamforming multi-objective optimization problem.

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：