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Effcient Distributed Skyline Queries for Mobile Applications

Journal of Computer Science & Technology 2010年第3期25卷 523-536页

作者：肖迎元陈跃国 Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Key Laboratory of Computer Vision and System Tianjin University of Technology School of Computing National University of Singapore Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China

In this paper, we consider skyline queries in a mobile and distributed environment, where data objects are distributed in some sites （database servers） which are interconnected through a high-speed wired network, and queries are issued by mobile units （laptop, cell phone, etc.） which access the data objects of database servers by wireless channels. The inherent properties of mobile computing environment such as mobility, limited wireless bandwidth, frequent disconnection, make skyline queries more complicated. We show how to efficiently perform distributed skyline queries in a mobile environment and propose a skyline query processing approach, called efficient distributed skyline based on mobile computing （EDS-MC）. In EDS-MC, a distributed skyline query is decomposed into five processing phases and each phase is elaborately designed in order to reduce the network communication, network delay and query response time. We conduct extensive experiments in a simulated mobile database system, and the experimental results demonstrate the superiority of EDS-MC over other skyline query processing techniques on mobile computing.

关键词： skyline distributed query processing mobile database system

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Medical image blind denoising using context bilateral filter

Medical image blind denoising using context bilateral filter

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2010 International Conference on Medical Image Analysis and Clinical Application, MIACA 2010

作者： Liao, Zhiwu Hu, Shaoxiang Yu, Zhiqiang Sun, Dan Visual Computing and Virtual Reality Key Laboratory Of Sichuan Province Sichuan Normal University Chengdu China School of Computer Science Sichuan Normal University Chengdu China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China Chengdu Aircraft Industrial Co. Ltd. Chengdu China

ISBN: (纸本)9781424480128

Edge and detail preserving is a very important requirement in blind medical denoising since the details can help doctors diagnosis diseases. Bilateral flter (BF) is a famous filter in preserving details while smoothing. However, its performance in image denoising is unsatisfied. The main reason for this situation is that the bilateral filter uses gray levels of pixels directly, which causes the propagation of noise (PoN). In this paper, we propose a method, named context bilateral filter (CBF), which conditions the bilateral filter on the context. That is, the range filter is not defined on the gray levels directly while it is defned on the context! Since context can be defined as a smoother version for the image, the PoN can be suppressed greatly. In order to demonstrate the good performance for our method, experimental results using real medical images are given. © 2010 IEEE.

关键词： Image denoising

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To determine neighborhoods in ultrasound image denoising

To determine neighborhoods in ultrasound image denoising

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International Conference on Machine Learning and Cybernetics

作者： Liao, Zhiwu Hu, Shaoxiang Wang, Jianjun Yu, Zhiqiang Visual Computing and Virtual Reality Key Laboratory of Sichuan Province Sichuan Normal University Chengdu China School of Computer Science Sichuan Normal University Chengdu China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China Chinese Flight Test Establishment Xi'an China Chengdu Aircraft Industrial Co. Ltd. Chengdu China

ISBN: (纸本)9781424465262

Ultrasound images are effected by serious noises. In this paper, we propose an adaptive method by determining a variable neighborhood of each pixel in ultrasound image denoising. The real neighbors of a pixel can be chosen according to the local energy of the pixel, the distance between the pixel and its close pixels, the requirement of reliable estimate. All of the real neighbors of a pixel form a neighborhood, named the real neighborhood (RN) of the pixel. The RN s can preserve edges and obtain reliable estimates simultaneously, which can not be met at the same time and becomes a tradeoff problem in existing methods. The experiments also show better performance both in denoising and edges preserving than the state-of-art techniques. © 2010 IEEE.

关键词： Pixels

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Hierarchical Certificateless Signatures

Hierarchical Certificateless Signatures

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IEEE/IFIP International Conference on Embedded and Ubiquitous computing, EUC

作者： Lei Zhang Qianhong Wu Josep Domingo-Ferrer Bo Qin UNESCO Chair in Data Privacy Department of Computer Engineering and Mathematics Universitat Rovira i Virgili Catalonia Spain School of Computer Key Laboratory of AeroSpace Information Security and Trusted Computing Wuhan University of Technology China School of Science Department of Maths Xi'an University of Technology China

Certificateless cryptography eliminates the key escrow problem in identity-based cryptography. Hierarchical cryptography exploits a practical security model to mirror the organizational hierarchy in the real world. In this paper, to incorporate the advantages of both types of cryptosystems, we instantiate hierarchical certificate less cryptography by formalizing the notion of hierarchical certificate less signatures. Furthermore, we propose an HCLS scheme which, under the hardness of the computational Diffie-Hellman (CDH) problem, is proven to be existentially unforgeable against adaptive chosen-message attacks in the random oracle model. As to efficiency, our scheme has constant complexity, regardless of the depth of the hierarchy. Hence, the proposal is secure and scalable for practical applications.

关键词： Public key Games Artificial intelligence Tin Protocols

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Approximation algorithm for constructing data aggregation trees for wireless sensor networks

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中国高等学校学术文摘·计算机科学 2009年第4期3卷 524-534页

作者： Deying LI Jiannong CAO Qinghua ZHU Key Laboratory of Data Engineering and Knowledge Engineering School of InformationRenmin University of ChinaBeijing 100872China Internet and Mobile Computing Lab Department of ComputingHong Kong Polytechnic UniversityHong KongChina

This paper considers the problem of constructing data aggregation trees in wireless sensor networks (WSNs)for a group of sensor nodes to send collected information to a single sink *** data aggregation tree contains the sink node,all the source nodes,and some other non-source *** goal of constructing such a data aggregation tree is to minimize the number of non-source nodes to be included in the tree so as to save *** prove that the data aggregation tree problem is NP-hard and then propose an approximation algorithm with a performance ratio of four and a greedy *** also give a distributed version of the approximation *** simulations are performed to study the performance of the proposed *** results show that the proposed algorithms can find a tree of a good approximation to the optimal tree and has a high degree of scalability.

关键词： WSNs data aggregation tree approximation algorithm distributed algorithm

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Large cross-phase-modulation between two slow pulses by coupled double dark resonances

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Physical Review A 2009年第3期79卷 033813-033813页

作者： B. P. Hou L. F. Wei G. L. Long S. J. Wang School of Physics and Electronic Engineering Sichuan Normal University Chengdu 610068 China Sichuan Key Laboratory of Visual Computing and Virtual Reality Sichuan Normal University Chengdu 610068 China Laboratory of Quantum Opt-electronic Information Southwest Jiaotong University Chengdu 610031 China Department of Physics Tsinghua University Beijing 100080 China Department of Physics Sichuan University Chengdu 610064 China

We present a scheme to realize a large cross-phase-modulation between two slow optical pulses by using the atomic configurations of coupled double dark resonances. In this scheme slow group velocities for these optical pulses can be automatically equalized in terms of the inherent symmetric atomic configuration, and the various absorptions can be overcome by using three-photon hyper-Raman amplification. Additionally, the switching between cross-type nonlinear amplification and absorption could be realized by just changing the sign of the difference between two pump detunings. This is useful for the implementations of all-optical switches. The linearity and cross nonlinearity in the Doppler-broadened medium with different laser propagating configurations have also been investigated.

关键词： Doppler effect

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Study on Multilocus Interactions for Hypertension by an Information Theoretic Method

Study on Multilocus Interactions for Hypertension by an Info...

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第三届最优化与系统生物学国际研讨会

作者： Junhua Zhang Wentao Huang Zhiyuan Zhao Biao Li Yuelan Wang Dongfeng Gu Guoying Li Runsheng Chen Academy of Mathematics and Systems Science CAS Key Laboratory of Random Complex Structures and Data Science Academy of Mathematics and Systems ScienceCAS College of Electronics and Information Engineering South-Central University for Nationalities Actuarial Department China Life Insurance Company Limited School of Informatics and Computing Indiana UniversityBloomingtonIndianaUSA

Hypertension,among diabetes,obesity and others,is one of the common human diseases that is genetically expressed as complex traits to which genetic,environmental,and demographic factors contribute *** the underlying genes and examining their interactions, a crucial step in understanding the molecular pathogenesis of complex diseases,is both a statistical and a computational challenge,stressing the need for novel strategies to move this process *** this paper we propose a new method to study the association of multiple gene interactions for complex *** method is carried out by two ***,we sequentially select additionally associated SNP loci combinations by minimizing the p-value of a test based on an information measure,measure of information ***,this approach is called MID ***,the significance of the selected associated loci combinations is assessed by an x *** MID method is model-free and nonparametric,it is easy to compute and *** capability of the MID method is confirmed by applying it to investigate the multiple gene interactions on risk of hypertension in northern Han Chinese,where thirty-three SNP loci with three-genotype in eleven candidate genes are *** results are consistent with those of Gu et al（2006）.Additionally,we get some other new *** indicates that our idea is indeed feasible and useful in practice.

关键词： Hypertension SNP locus multilocus interactions measure of information discrepancy

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Online Learning from Mix-typed, Drifted, and Incomplete Streaming Features

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ACM Transactions on Knowledge Discovery from data 1000年

作者： Shengda Zhuo Di Wu Yi He Shuqiang Huang Xindong Wu College of Cyber Security Jinan University Guangzhou Guangdong China College of Computer and Information Science Southwest University Chongqing China School of Computing Data Science and Physics William & Mary Williamsburg VA USA Key Laboratory of Knowledge Engineering with Big Data the Ministry of Education of China) School of Computer Science and Information Engineering Hefei University of Technology Hefei Anhui China

Online learning, where feature spaces can change over time, offers a flexible learning paradigm that has attracted considerable attention. However, it still faces three significant challenges. First, the heterogeneity of real-world data streams with mixed feature types presents challenges for traditional parametric modeling. Second, data stream distributions can shift over time, causing an abrupt and substantial decline in model performance. Additionally, the time and cost constraints make it infeasible to label every data instance in a supervised setting. To overcome these challenges, we propose a new algorithm Online Learning from Mix-typed, Drifted, and Incomplete Streaming Features (OL-MDISF), which aims to relax restrictions on both feature types, data distribution, and supervision information. Our approach involves utilizing copula models to create a comprehensive latent space, employing an adaptive sliding window for detecting drift points to ensure model stability, and establishing label proximity information based on geometric structural relationships. To demonstrate the model’s efficiency and effectiveness, we provide theoretical analysis and comprehensive experimental results.

关键词： Online Learning Mix-Typed Streaming Feature

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Conceptual Modeling for Advanced Application Domains 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Shan Wang Katsumi Tanaka Shuigeng Zhou Tok-Wang Ling Jihong Guan Dong-qing Yang Fabio Grandi Eleni E. Mangina Il-Yeol Song Heinrich C. Mayr

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Secure Collaborative Learning for Self-Adaptive Systems on Connected Autonomous Vehicles

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ACM Transactions on Autonomous and Adaptive Systems 1000年

作者： Xiaotong Wu Yuwen Liu Xiaoxiao Chi Rong Jiang Xiaokang Zhou Wajid Rafique Maqbool Khan Alibaba Business School Hangzhou Normal University China College of Computer Science and Technology China University of Petroleum (East China) China Department of Computing Macquarie University Australia Yunnan Key Laboratory of Service Computing Yunnan University of Finance and Economics China Faculty of Business Data Science Kansai University Japan and RIKEN Center for Advanced Intelligence Project Japan Department of Electrical and Software Engineering University of Calgary Canada Software Competence Center Hagenberg Austria

As an advanced carrier of on-board sensors, connected autonomous vehicle (CAV) can be viewed as an aggregation of self-adaptive systems with monitor-analyze-plan-execute (MAPE) for vehicle-related services. Meanwhile, machine learning (ML) has been applied to enhance analysis and plan functions of MAPE so that self-adaptive systems have optimal adaption to changing conditions. However, most of ML-based approaches don’t utilize CAVs’ connectivity to collaboratively generate an optimal learner for MAPE, because of sensor data threatened by gradient leakage attack (GLA). In this article, we first design an intelligent architecture for MAPE-based self-adaptive systems on Web 3.0-based CAVs, in which a collaborative machine learner supports the capabilities of managing systems. Then, we observe by practical experiments that importance sampling of sparse vector technique (SVT) approaches cannot defend GLA well. Next, we propose a fine-grained SVT approach to secure the learner in MAPE-based self-adaptive systems, that uses layer and gradient sampling to select uniform and important gradients. At last, extensive experiments show that our private learner spends a slight utility cost for MAPE (e.g., \(0.77\%\) decrease in accuracy) defending GLA and outperforms the typical SVT approaches in terms of defense (increased by \(10\%\sim 14\%\) attack success rate) and utility (decreased by \(1.29\%\) accuracy loss).

关键词： collaborative learning optimal adaption vehicle application data security self-adaptive system

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