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Effective Semisupervised Community Detection Using Negative Information

MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-8页

作者： Liu, Dong Duan, Dequan Sui, Shikai Song, Guojie Henan Normal Univ Sch Comp & Informat Engn Xinxiang 453007 Peoples R China Peking Univ Sch Elect Engn & Comp Sci Beijing 100871 Peoples R China

The semisupervised community detection method, which can utilize prior information to guide the discovery process of community structure, has aroused considerable research interests in the past few years. Most of the former works assume that the exact labels of some nodes are known in advance and presented in the forms of individual labels and pairwise constraints. In this paper, we propose a novel type of prior information called negative information, which indicates whether a node does not belong to a specific community. Then the semisupervised community detection algorithm is presented based on negative information to efficiently make use of this type of information to assist the process of community detection. The proposed algorithm is evaluated on several artificial and real-world networks and shows high effectiveness in recovering communities.

关键词： SUPERVISION INFORMATION storage & retrieval systems COMMUNITY organization NEURAL networks (computer science) WIRELESS sensor nodes computer algorithms

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WSNs Microseismic Signal Subsection Compression Algorithm Based on Compressed Sensing

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-9页

作者： Liu, Zhouzhou Wang, Fubao Northwestern Polytech Univ Sch Elect & Informat Xian 710072 Peoples R China Xian Aeronaut Univ Xian 710077 Peoples R China

For wireless network microseismic monitoring and the problems of low compression ratio and high energy consumption of communication, this paper proposes a segmentation compression algorithm according to the characteristics of the microseismic signals and the compression perception theory (CS) used in the transmission process. The algorithm will be collected as a number of nonzero elements of data segmented basis, by reducing the number of combinations of nonzero elements within the segment to improve the accuracy of signal reconstruction, while taking advantage of the characteristics of compressive sensing theory to achieve a high compression ratio of the signal. Experimental results show that, in the quantum chaos immune clone refactoring (Q-CSDR) algorithm for reconstruction algorithm, under the condition of signal sparse degree higher than 40, to be more than 0.4 of the compression ratio to compress the signal, the mean square error is less than 0.01, prolonging the network life by 2 times.

关键词： WIRELESS sensor networks MICROSEISMS SIGNAL processing computer algorithms COMPRESSED sensing (Signal processing) ENERGY consumption COMBINATIONS (Mathematics)

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A new hierarchical moving curve-fitting algorithm for filtering lidar data for automatic DTM generation

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INTERNATIONAL JOURNAL OF REMOTE SENSING 2015年第14期36卷 3616-3635页

作者： Su, Wei Sun, Zhongping Zhong, Ruofei Huang, Jianxi Li, Menglin Zhu, Jingguo Zhang, Keshu Wu, Honggan Zhu, Dehai China Agr Univ Coll Informat & Elect Engn Beijing 100083 Peoples R China Minist Environm Protect Satellite Environm Ctr Beijing 100094 Peoples R China Capital Normal Univ Key Lab Informat Acquisit & Applicat 3D Minist Educ Beijing 100048 Peoples R China Chinese Acad Sci Acad Optoelect Beijing 100094 Peoples R China Chinese Acad Forestry Res Inst Forest Resource Informat Tech Beijing 100091 Peoples R China

Recent advances in laser scanning hardware have allowed rapid generation of high-resolution digital terrain models (DTMs) for large areas. However, the automatic discrimination of ground and non-ground light detection and ranging (lidar) points in areas covered by densely packed buildings or dense vegetation is difficult. In this paper, we introduce a new hierarchical moving curve-fitting filter algorithm that is designed to automatically and rapidly filter lidar data to permit automatic DTM generation. This algorithm is based on fitting a second-degree polynomial surface using flexible tiles of moving blocks and an adaptive threshold. The initial tile size is determined by the size of the largest building in the study area. Based on an adaptive threshold, non-ground points and ground points are classified and labelled step by step. In addition, we used a multi-scale weighted interpolation method to estimate the bare-earth elevation for non-ground points and obtain a recovered terrain model. Our experiments in four study areas showed that the new filtering method can separate ground and non-ground points in both urban areas and those covered by dense vegetation. The filter error ranged from 4.08% to 9.40% for Type I errors, from 2.48% to 7.63% for Type II errors, and from 5.01% to 7.40% for total errors. These errors are lower than those of triangulated irregular network filter algorithms.

关键词： LIDAR (Optics) DIGITAL elevation models computer algorithms CURVE fitting INTERPOLATION

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Discrete-Time Nonlinear Control of VSC-HVDC System

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 p1-11页

作者： Qian, TianTian Miao, ShiHong Huazhong Univ Sci & Technol State Key Lab Adv Electromagnet Engn & Technol Wuhan 430074 Peoples R China

Because VSC-HVDC is a kind of strong nonlinear, coupling, and multi-input multioutput (MIMO) system, its control problem is always attracting much attention from scholars. And a lot of papers have done research on its control strategy in the continuous-time domain. But the control system is implemented through the computer discrete sampling in practical engineering. It is necessary to study the mathematical model and control algorithm in the discrete-time domain. The discrete mathematical model based on output feedback linearization and discrete sliding mode control algorithm is proposed in this paper. And to ensure the effectiveness of the control system in the quasi sliding mode state, the fast output sampling method is used in the output feedback. The results from simulation experiment in MATLAB/SIMULINK prove that the proposed discrete control algorithm can make the VSC-HVDC system have good static, dynamic, and robust characteristics in discrete-time domain.

关键词： DISCRETE-time systems NONLINEAR control theory HIGH-voltage direct current transmission computer algorithms

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Programming the Quantum Future

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COMMUNICATIONS OF THE ACM 2015年第8期58卷 52-61页

作者： Valiron, Benoit Ross, Neil J. Selinger, Peter Alexander, D. Scott Smith, Jonathan M. Univ Paris Sud Engn Sch CentraleSupelec Paris France Univ Paris Sud Comp Sci Lab Paris France Dalhousie Univ Halifax NS Canada Dalhousie Univ Math Halifax NS Canada Appl Commun Sci Basking Ridge NJ USA Univ Penn Engn & Appl Sci Philadelphia PA 19104 USA Univ Penn Comp & Informat Sci Philadelphia PA 19104 USA

THE EARLIEST computerS, like the ENIAC, were rare and heroically difficult to program. That difficulty stemmed from the requirement that algorithms be expressed in a "vocabulary" suited to the particular hardware available, ranging from function tables for the ENIAC to more conventional arithmetic and movement operations on later machines. Introduction of symbolic programming languages, exemplified by FORTRAN, solved a major difficulty for the next generation of computing devices by enabling specification of an algorithm in a form more suitable for human understanding, then translating this specification to a form executable by the machine. The "programming language" used for such specification bridged a semantic gap between the human and the computing device. It provided two important features: high-level abstractions, taking care of automated bookkeeping, and modularity, making it easier to reason about sub-parts of programs.

关键词： QUANTUM computing computer science QUANTUM computers computer algorithms computer software development PROGRAMMING languages (Electronic computers)

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Three-Dimensional Dynamic Topology Optimization with Frequency Constraints Using Composite Exponential Function and ICM Method

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-10页

作者： Ye, Hongling Chen, Ning Sui, Yunkang Tie, Jun Beijing Univ Technol Coll Mech Engn & Appl Elect Beijing 100124 Peoples R China Tianjin Univ Finance & Econ Dept Math Tianjin 300222 Peoples R China

The dynamic topology optimization of three-dimensional continuum structures subject to frequency constraints is investigated using Independent Continuous Mapping (ICM) design variable fields. The composite exponential function (CEF) is selected to be a filter function which recognizes the design variables and to implement the changing process of design variables from "discrete" to "continuous" and back to "discrete." Explicit formulations of frequency constraints are given based on filter functions, first-order Taylor series expansion. And an improved optimal model is formulated using CEF and the explicit frequency constraints. Dual sequential quadratic programming (DSQP) algorithm is used to solve the optimal model. The program is developed on the platform of MSC Patran & Nastran. Finally, numerical examples are given to demonstrate the validity and applicability of the proposed method.

关键词： MATHEMATICAL optimization EXPONENTIAL functions TAYLOR'S series QUADRATIC programming computer algorithms MATHEMATICAL models

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WIP Abstract: Multiple Security Domain Nondeducibility for Point-of-Care Diagnostic Technology

WIP Abstract: Multiple Security Domain Nondeducibility for P...

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IEEE/ACM International Conference on Cyber-Physical Systems

作者： Fred Love Bruce McMillin Sivanesan Tulasidas W Balachandran Department of Computer Science Missouri University of Science and Technology Rolla Electronic and Computer Engineering Brunel University Uxbridge UK

ISBN: (纸本)9781509017737

Microfluidics is an interdisciplinary science focusing on the development of devices and systems that process low volumes of fluid for applications such as high throughput DNA sequencing, immunoassays, and entire Labs-on-Chip platforms. Microfluidic diagnostic technology enables these advances by facilitating the miniaturization and integration of complex biochemical processing through a microfluidic biochip [1]. This approach tightly couples the biochemical operations, sensing system, control algorithm, and droplet-based biochip. During the process the status of a droplet is monitored in real-time to detect operational errors. If an error has occurred, the control algorithm dynamically reconfigures to allow recovery and rescheduling of on-chip operations. During this recovery procedure the droplet that is the source of the error is discarded to prevent the propagation of the error and the operation is repeated. Threats to the operation of the microfluidics biochip include (1) integrity: an attack can modify control electrodes to corrupt the diagnosis, and (2) privacy: what can a user/operator deduce about the diagnosis? It is challenging to describe both these aspects using existing models;as Figure 1 depicts there are multiple security domains, Unidirectional information flows shown in black indicate undesirable flows, the bidirectional black arrows indicate desirable, but possibly corrupted, information flows, and the unidirectional red arrows indicate undesirable information flows. As with Stuxnet, a bidirectional, deducible information flow is needed between the monitoring security domain and internal security domain (biochip) [2]. Simultaneously, the attacker and the operators should receive a nondeducible information flow. Likewise, the red attack arrows should be deducible to the internal domain. Our current security research direction uses the novel approach of Multiple Security Domain Nondeducibility [2] to explore the vulnerabilities of exploiting this er

关键词： Digital microfluidics point-of-care diagnostics cyberphysical systems information flow security information flow Security Domain computer algorithms Microfluidics Biochips Surgery Point-of-Care Systems protection system control electrode High-Throughput DNA Sequencing Error Sources

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Multi-agent flocking via generalized control algorithms: Existence and properties

Multi-agent flocking via generalized control algorithms: Exi...

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International Conference on Control, Automation, Robotics and Vision

作者： Jun Zhou Huimin Qian Xinbiao Lu School of Energy and Electrical Engineering Hohai University Nanjing 211100 China

ISBN: (纸本)9781509035502

In this paper, we propose a class of generalized flocking algorithms based on the Olfati-Saber's results for self-driving multi-agent networks by introducing some metric weighting matrix and leader-agent-related navigation-weighting coefficients, in which the multi-agents are also driven by distributed continuous-time control algorithms that are defined merely by local position and velocity measurements of neighboring multi-agents as usual. It is shown that the concerned multi-agent systems eventually run into what we call the generalized α-lattice flocking by means of the generalized algorithms, while flocking lattice geometries such as direction variation and lattice deformation (say, shrinkage and enlargement) can be achieved by choosing the weighting matrix and the leader agent coefficients. In the process of flocking, the whole multi-agent system satisfies the Reynold's principles of flocking aggregation, collision avoidance and velocity matching, while possible inter-agent collision is also verified by means of the variation-of-constants formula when initially the agents are aggregative too densely.

关键词： Nickel Artificial neural networks Terminology Electrical engineering Electronic mail Velocity measurement Speed measurement Velocimetry electronic mail ELECTRICAL ENGINEERING FLOCKING terminology Artificial neural networks Nickel generalized algorithm computer algorithms electrical engineering

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Minimum-Energy Wireless Real-Time Multicast by Joint Network Coding and Scheduling Optimization

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-9页

作者： Tan, Guoping Zhu, Yandan Li, Yueheng Zhang, Lili Xu, Jing Hohai Univ Coll Comp & Informat Engn Nanjing 210098 Jiangsu Peoples R China Chinese Acad Sci Shanghai Microsyst & Informat Technol Res Inst Shanghai 200050 Peoples R China

For real-time multicast services over wireless multihop networks, to minimize the energy of transmissions with satisfying the requirements of a fixed data rate and high reliabilities, we construct a conflict graph based framework by joint optimizing network coding and scheduling. Then, we propose a primal-dual subgradient optimization algorithm by random sampling K maximal stable sets in a given conflict graph. This method transforms the NP-hard scheduling subproblem into a normal linear programming problem to obtain an approximate solution. The proposed algorithm only needs to adopt centralized technique for solving the linear programming problem while all of the other computations can be distributed. The simulation results show that, comparing with the existing algorithm, this algorithm can not only achieve about 20% performance gain, but also have better performance in terms of convergence and robustness.

关键词： REAL-time computing MULTICASTING (computer networks) LINEAR network coding SCHEDULING MATHEMATICAL optimization computer algorithms

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A Novel Frequency Domain Iterative Image Registration Algorithm Based on Local Region Extraction

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MATHEMATICAL PROBLEMS IN ENGINEERING 2015年第1期2015卷 1-8页

作者： Qu, Xiujie Huo, Haili Lian, Sitong Zhao, Fei Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China

Because of the differences of imaging time, position between sensor and target position, scaling, rotation, translation, and other transformations between the series of images will be generated by the imaging system. The conventional phase correlation algorithm has been widely applied because of its advantages of high speed, precision, and weak influence of the geometric distortion when computing these changing parameters. However, when the scaling factor and the rotation angle are too large, it is difficult to use the conventional phase correlation method for high precision registration. To solve this problem, this paper presents a novel method, which combines the speeded up robust features algorithm and the phase correlation method under the log polar. Through local region extraction and reusing a two-step iterative phase correlation algorithm, this method avoids excessive computation and the demand of characteristics of the image and effectively improves the accuracy of registration. A plurality of visible light image simulation verifies that this is a fast, accurate, and robust algorithm, even when the image has large angle rotation and large multiple scaling.

关键词： IMAGE registration FEATURE extraction (Data processing) computer algorithms CORRELATION (Statistics) TRANSFORMATIONS (Mathematics)

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