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B-spline surface fitting to mesh vertices

science China(Information sciences) 2017年第7期60卷 259-261页

作者： Yang LU Junhai YONG Kanle SHI Hejin GU Ping ZHENG Jean-Claude PAUL School of Software Tsinghua University Department of Computer Science and Technology Tsinghua University Key Laboratory for Information System Security Ministry of Education of China Tsinghua National Laboratory for Information Science and Technology Tsinghua University Department of Research & Development Jiangxi Academy of Science Department of Mathematics and Computer Science Nanchang Normal University

Here we propose a novel method of fitting B-spline surfaces to input mesh *** a mesh model that is difficult to fit with one B-spline surface,we divide it into several patches that form a tree structure(which is called hierarchical splines[1]),and for each patch,we use one B-spline surface for ***,only a few patches are required,and G2continuity can be achieved between the adjacent surfaces.

关键词： B-spline surface fitting to mesh vertices

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Design and Realization of software for Guard Against DDoS Based on Self-Similar and Optimization Filter

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The Journal of China Universities of Posts and Telecommunications 2006年第1期13卷 44-48页

作者： REN Xun-yi WANG Ru-chuan WANG Hai-yan Department of Computer Science and Technology Nanjing University of Posts and Telecommunications Nanjing 210003 P.R. China State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 P.R. China

This paper proposes a distributed denial-of-service attack detection method based on self similar and wavelet analysis. This method adopts an optimized transmission control protocol cookie technology for filter optimization in order to accurately detect and efficiently filter the traffic of distributed denial-of-service attack. This paper presents the design of our software, and describes all important algorithms of detection and filtering. Experimental results showed that our method has only a low delay to detect abnormal traffic of distributed denial-of-service attacks, and with a high percentage o f filtering.

关键词： DDoS self similar filter wavelet

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Probabilistic verification of hierarchical leader election protocol in dynamic systems

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Frontiers of computer science 2018年第4期12卷 763-776页

作者： Yu ZHOU Nvqi ZHOU Tingting HAN Jiayi GU Weigang WU College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing 210016 China State Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Department of Computer Science and Information Systems Birkbeck University of London London WC1E 7HX UK Department of Computer Science Sun Yat-sen University Guangzhou 510006 China

Leader election protocols are fundamental for coordination problems--such as consensus--in distributed computing. Recently, hierarchical leader election protocols have been proposed for dynamic systems where processes can dynamically join and leave, and no process has global information. However, quantitative analysis of such protocols is generally lacking. In this paper, we present a probabilistic model checking based approach to verify quantitative properties of these protocols. Particularly, we employ the compositional technique in the style of assume-guarantee reasoning such that the sub-protocols for each of the two layers are verified separately and the correctness of the whole protocol is guaranteed by the assume-guarantee rules. Moreover, within this framework we also augment the proposed model with additional features such as rewards. This allows the analysis of time or energy consumption of the protocol. Experiments have been conducted to demonstrate the effectiveness of our approach.

关键词： distributed computing hierarchical leader election protocol dynamic systems probabilistic model checking

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How far are we to GPT-4V?Closing the gap to commercial multimodal models with open-source suites

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science China(Information sciences) 2024年第12期67卷 5-22页

作者： Zhe CHEN Weiyun WANG Hao TIAN Shenglong YE Zhangwei GAO Erfei CUI Wenwen TONG Kongzhi HU Jiapeng LUO Zheng MA Ji MA Jiaqi WANG Xiaoyi DONG Hang YAN Hewei GUO Conghui HE Botian SHI Zhenjiang JIN Chao XU Bin WANG Xingjian WEI Wei LI Wenjian ZHANG Bo ZHANG Pinlong CAI Licheng WEN Xiangchao YAN Min DOU Lewei LU Xizhou ZHU Tong LU Dahua LIN Yu QIAO Jifeng DAI Wenhai WANG State Key Laboratory for Novel Software Technology Nanjing University Shanghai AI Laboratory School of Computer Science Fudan University SenseTime Research Department of Information Engineering The Chinese University of Hong Kong Department of Electronic Engineering Tsinghua University

In this paper, we introduce InternVL 1.5, an open-source multimodal large language model(MLLM) to bridge the capability gap between open-source and proprietary commercial models in multimodal understanding. We introduce three simple improvements.(1) Strong vision encoder: we explored a continuous learning strategy for the large-scale vision foundation model — InternViT-6B, boosting its visual understanding capabilities, and making it can be transferred and reused in different LLMs.(2) Dynamic high-resolution: we divide images into tiles ranging from 1 to 40 of 448×448 pixels according to the aspect ratio and resolution of the input images, which supports up to 4K resolution input.(3) High-quality bilingual dataset: we carefully collected a high-quality bilingual dataset that covers common scenes, document images,and annotated them with English and Chinese question-answer pairs, significantly enhancing performance in optical character recognition(OCR) and Chinese-related tasks. We evaluate InternVL 1.5 through a series of benchmarks and comparative studies. Compared to both open-source and proprietary commercial models, InternVL 1.5 shows competitive performance, achieving state-of-the-art results in 8 of 18 multimodal benchmarks. Code and models are available at https://***/OpenGVlab/InternVL.

关键词： multimodal model open-source vision encoder dynamic resolution bilingual dataset

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Fast connection recovery against region failures with landmark-based source routing

Fast connection recovery against region failures with landma...

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2013 9th International Conference on the Design of Reliable Communication Networks, DRCN 2013

作者： Wang, Xiaoliang Jiang, Xiaohong Nguyen, Cam-Tu Zhang, Xiao Lu, Sanglu National Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University 210093 Nanjing China Future University Hakodate Hokkaido Japan

ISBN: (纸本)9781479900497

Communication networks are vulnerable to the natural disasters or malicious attacks, which may cause a large area of corruptions and long term disconnection of network services. Such significant outage has become a serious problem today with regard to the stringent reliability requirement of the mission critical applications. In this paper, we focus on fast and effective failure recovery in face of region failures. Rather than rely on the time consuming failure localization, we introduce and evaluate a direct restoration mechanism upon detecting the path failure, which use the geographically distributed intermediate nodes, named 'landmarks', to reestablish the connection through a (near-)shortest detour path. The experimental analysis on randomly generated and realistic network topologies have shown that this approach can achieve high reliability and low stretch in case of region failures, and thus significantly reduce the impact of region failures on network based mission critical services. © 2013 Scientific Assoc for infocom.

关键词： Reliability analysis

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CORE: A trust model for agent coalition formation

CORE: A trust model for agent coalition formation

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5th International Conference on Natural Computation, ICNC 2009

作者： Zhou, Qing-Hua Wang, Chong-Jun Xie, Jun-Yuan National Key Laboratory for Novel Software Technology Nanjing University Nanjing 210093 China Department of Computer Science and Technology Nanjing University Nanjing 210093 China

ISBN: (纸本)9780769537368

CORE, a trust model is proposed trying to solve agent coalition formation problem. The model characterizes an agent's trust from two aspects of competence and reputation. In the paper, the Euclidean distance formula of vector space on competence field is used to measure the extent which an agent fitting for a particular task, and the membership function is used to characterize an agent's reputation. At the begin of the task, appropriate agents are selected to form a coalition according to their trust value;in the process of the task, the agent's competence gains and reputation updates;after completing the task, the model can renovate every agent's trust according to their behavior during the coalition, which is viewed as an evidence for next task. Finally, the model is carried out by programming on the NetLogo platform. © 2009 IEEE.

关键词： Vector spaces

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MSEs Credit Risk Assessment Model Based on Federated Learning and Feature Selection

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computers, Materials & Continua 2023年第6期75卷 5573-5595页

作者： Zhanyang Xu Jianchun Cheng Luofei Cheng Xiaolong Xu Muhammad Bilal School of Computer and Software Nanjing University of Information Science&TechnologyNanjing210044China State Key Laboratory Novel Software Technology Nanjing UniversityNanjing210023China Department of Computer and Electronics Systems Engineering Hankuk University of Foreign StudiesYongin-siGyeonggi-do17035Korea

Federated learning has been used extensively in business inno-vation scenarios in various *** research adopts the federated learning approach for the first time to address the issue of bank-enterprise information asymmetry in the credit assessment ***,this research designs a credit risk assessment model based on federated learning and feature selection for micro and small enterprises(MSEs)using multi-dimensional enterprise data and multi-perspective enterprise *** proposed model includes four main processes:namely encrypted entity alignment,hybrid feature selection,secure multi-party computation,and global model ***,a two-step feature selection algorithm based on wrapper and filter is designed to construct the optimal feature set in multi-source heterogeneous data,which can provide excellent accuracy and *** addition,a local update screening strategy is proposed to select trustworthy model parameters for aggregation each time to ensure the quality of the global *** results of the study show that the model error rate is reduced by 6.22%and the recall rate is improved by 11.03%compared to the algorithms commonly used in credit risk research,significantly improving the ability to identify ***,the business operations of commercial banks are used to confirm the potential of the proposed model for real-world implementation.

关键词： Federated learning feature selection credit risk assessment MSEs

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Data flow analysis on android platform with fragment lifecycle modeling 12th

Data flow analysis on android platform with fragment lifecyc...

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12th EAI International Conference on Security and Privacy in Communication Networks, SecureComm 2016

作者： Li, Yongfeng Ouyang, Jinbin Guo, Shanqing Mao, Bing State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University Nanjing China School of Computer Science and Technology Shandong University Jinan China

ISBN: (纸本)9783319596075

Smartphones carry a large quantity of sensitive information to satisfy people’s various requirements, but the way of using information is important to keep the security of users’ privacy. There are two kinds of misuses of sensitive information for apps. On the one hand, careless programmers may leak the data by accident. On the other hand, the attackers develop malware to collect sensitive data intentionally. Many researchers apply data flow analysis to detect data leakages of an app. However, data flow analysis on Android platform is quite different from the programs on desktop. Many researchers have solved some problems of data flow analysis on Android platform, like Activity lifecycle, callback methods, inter-component communication. We find that Fragment’s lifecycle also has an effect on the data flow analysis of Android apps. Some data will be leaked if we don’t take Fragment’s lifecycle into consideration when performing data flow analysis in Android apps. So in this paper, we propose an approach to model Fragment’s lifecycle and its relationship with Activity’s lifecycle, then introduce a tool called FragDroid based on FlowDroid [7]. We conduct some experiments to evaluate the effectiveness of our tool and the results show that there are 8% of apps in our data set using Fragment. In particular, for popular apps, the result is 50.8%. We also evaluate the performance of using FragDroid to analyze Android apps, the result shows the average overhead is 17%. © ICST Institute for computer sciences, Social Informatics and Telecommunications Engineering 2017.

关键词： Data flow analysis

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NBGVF: Normally biased gradient vector flow external force for active contours

NBGVF: Normally biased gradient vector flow external force f...

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2009 International Conference on Information Engineering and computer science, ICIECS 2009

作者： Lu, Shaopei Wang, Yuanquan Tianjin Key Lab of Intelligent Computing and Novel Software Technology School of Computer Science Tianjin University of Technology Tianjin 300191 China

ISBN: (纸本)9781424449941

Gradient vector flow (GVF) has been one effective external force for active contours, but it is based on isotropic diffusion. The recently proposed NGVF external force just took into account the diffusion along normal direction of the level line, so it is sensitive to noise and could smear the weak boundaries. In this article, we present a novel one called normally biased gradient vector flow (NBGVF) which keeps the diffusion along the tangential direction of the level line and biases that along the normal direction. The biasing weight of the diffusion along the normal direction approaches zero at boundaries and is 1, even larger, in homogeneous regions. Consequently, the NBGVF can preserve weak edges and smooth out noise while maintaining other desirable properties of GVF and NGVF such as enlarged capture range, insensitivity to initialization and convergence to u-shape concavity. These properties are evaluated on synthetic and real images. ©2009 IEEE.

关键词： Image segmentation

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Point attention network for point cloud semantic segmentation

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science China(Information sciences) 2022年第9期65卷 99-112页

作者： Dayong REN Zhengyi WU Jiawei LI Piaopiao YU Jie GUO Mingqiang WEI Yanwen GUO National Key Lab for Novel Software Technology Nanjing University School of Computer Science and Technology Nanjing University of Aeronautics and Astronautics

We address the point cloud semantic segmentation problem through modeling long-range dependencies based on the self-attention mechanism. Existing semantic segmentation models generally focus on local feature aggregation. By comparison, we propose a point attention network(PA-Net) to selectively extract local features with long-range dependencies. We specially devise two complementary attention modules for the point cloud semantic segmentation task. The attention modules adaptively integrate the semantic inter-dependencies with long-range dependencies. Our point attention module adaptively integrates local features of the last layer of the encoder with a weighted sum of the long-range dependency features. Regardless of the distance of similar features, they are all correlated with each other. Meanwhile, the feature attention module adaptively integrates inter-dependent feature maps among all local features in the last layer of the encoder. Extensive results prove that our two attention modules together improve the performance of semantic segmentation on point clouds. We achieve better semantic segmentation performance on two benchmark point cloud datasets(i.e., S3DIS and Scan Net). Particularly, the Io U on 11 semantic categories of S3DIS is significantly boosted.

关键词： point cloud semantic segmentation self-attention mechanism deep learning long-range dependencies

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