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1st International Conference on Neural Computing for Advanced Applications, NCAA 2020

作者： Guo, Zhiqiang Liu, Huigui Kuang, Zhenzhong Nakashima, Yuta Babaguchi, Noboru Key Laboratory of Complex Systems Modeling and Simulation School of Computer Science and Technology Hangzhou Dianzi University Hangzhou310018 China Osaka University Osaka Japan

ISBN: (纸本)9789811576690

There is an increasing concern of face privacy protection along with the wide application of big media data and social networks due to free online data release. Although some pioneering works obtained some achievements, they are not sufficient enough for sanitizing the sensitive identity information. In this paper, we propose a generative approach to de-identify face images yet preserving the non-sensitive information for data reusability. To ensure a high privacy level, we introduce a large-margin model for the synthesized new identities by keeping a safe distance with both the input identity and existing identities. Besides, we show that our face de-identification operation follows the (Formula Presented)-differential privacy rule which can provide a rigorous privacy notion in theory. We evaluate the proposed approach using the vggface dataset and compare with several state-of-the-art methods. The results show that our approach outperforms previous solutions for effective face privacy protection while preserving the major utilities. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Privacy-preserving techniques

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A Unified Approach to Construct Generalized B-Splines for Isogeometric Applications

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Journal of Systems Science & complexity 2017年第4期30卷 983-998页

作者： XU Gang SUN Ningning XU Jinlan HUI Kin-Chuen WANG Guozhao Department of Computer Science Hangzhou Dianzi UniversityHangzhou 310018China Key Laboratory of Complex Systems Modeling and Simulation Ministry of EducationHangzhou 310018China Department of Mechanical and Automation Engineering The Chinese University of Hong KongHong KongChina Department of Mathematics Zhejiang UniversityHangzhou 310027China

Abstract Generalized B-splines have been employed as geometric modeling and numerical simu- lation tools for isogeometric analysis （IGA for short）. However, the previous models used in IGA, such as trigonometric generalized B-splines or hyperbolic generalized B-splines, are not the unified mathematical representation of conics and polynomial parametric curves/surfaces. In this paper, a unified approach to construct the generalized non-uniform B-splines over the space spanned by {α（t）,β（t）,ξ（t）, η（t）, 1, t,……. , tn-4} is proposed, and the corresponding isogeometric analysis framework for PDE solving is also studied. Compared with the NURBS-IGA method, the proposed frameworks have several advantages such as high accuracy, easy-to-compute derivatives and integrals due to the non-rational form. Furthermore, with the proposed spline models, isogeometric analysis can be performed on the computational domain bounded by transcendental curves/surfaces, such as the involute of circle, the helix/helicoid, the catenary/catenoid and the cycloid. Several numerical examples for isogeometrie heat conduction problems are presented to show the effectiveness of the proposed methods.

关键词： Generalized B-splines heat conduction isogeometric analysis unified construction.

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Newton’s Method for Global Free Flight Trajectory Optimization

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Operations Research Forum 2023年第3期4卷 63页

作者： Borndörfer, Ralf Danecker, Fabian Weiser, Martin Network Optimization Zuse Institute Berlin Takustr. 7 Berlin 14195 Germany Modeling and Simulation of Complex Processes Zuse Institute Berlin Takustr. 7 Berlin 14195 Germany

Globally optimal free flight trajectory optimization can be achieved with a combination of discrete and continuous optimization. A key requirement is that Newton’s method for continuous optimization converges in a sufficiently large neighborhood around a minimizer. We show in this paper that, under certain assumptions, this is the case. © 2023, The Author(s).

关键词： Discrete optimization Flight planning Free flight Global optimization Newton’s method Optimal control Shortest path

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Deep Point Convolutional Approach for 3D Model Retrieval

Deep Point Convolutional Approach for 3D Model Retrieval

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Zhenzhong Kuang Jun Yu Jianping Fan Min Tan Key Laboratory of Complex Systems Modeling and Simulation Hangzhou Dianzi University

With the increasing popularity of 3D models, retrieving deformable 3D objects is becoming a crucial task. The state-of-the-art methods use complex deep neural networks to address this problem, which require lots of computational resources. In this paper, we develop a more effective solution by using point convolution. Our algorithm takes local point descriptors as the input and produces a global vector for shape retrieval. To save the efforts of designing complex deep convolutional neural network (CNN), we first use intrinsic point descriptors to describe the shape deformations. Then, a simple but effective point CNN network is developed to integrate the local shape information by performing subspace compression and fusion, which depends on an end-to-end learning process to link the local and global information for discriminative shape representation. The experimental results on popular benchmarks have verified that our algorithm is able to outperform the state-of-the-art methods.

关键词： Shape Three-dimensional displays Solid modeling Heating systems Strain Machine learning Feature extraction

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Multi-objective Optimization of Electromagnetic Launch System Based on Improved RVEA-IGNG Algorithm 1

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19th International Conference of Intelligent Unmanned Systems, ICIUS 2023

作者： Li, Xiaoyu Guo, Ke Chao, Tao Ma, Ping Yang, Ming Wang, Songyan Harbin Institute of Technology Harbin150001 China National Key Laboratory of Modeling and Simulation for Complex Systems Harbin China Beijing Institute of Space Long March Vehicle Beijing100076 China

ISBN: (数字)9789819765911

ISBN: (纸本)9789819765904

For analyzing the influences of discharge sequence of each pulsed power supply and discharge voltage on the performance of the electromagnetic launch system, intelligent optimization algorithms are carried out based on the simulation model of the electromagnetic launch system. Based on the maximum rail current, projectile exit velocity and energy conversion efficiency, the corresponding multi-objective optimization model is established, and the Pareto front (PF) is acquired in RVEA-iGNG algorithm. The algorithm combines an evolutionary optimization algorithm with the reference vector adaptive adjustment by growing neural gas network. It can handle the multi-objective optimization of the electromagnetic launch system with complex irregular PF and achieve fast convergence. In order to provide decision makers with more diversified solutions, this paper proposes an improved RVEA-iGNG algorithm where the archive maintenance strategy is improved. The simulation results not only show that the RVEA-iGNG algorithm can effectively solve the electromagnetic launch system multi-objective optimization problem, but also show that the improved archive maintenance strategy is significantly better than the archive in the original RVEA-iGNG in terms of enhancing the diversity of solutions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Electromagnetic launchers

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Evolutionary Interest Representation Network for Click-Through Rate Prediction

Evolutionary Interest Representation Network for Click-Throu...

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2023 IEEE International Conference on Web Services, ICWS 2023

作者： Zhou, Renjie Jin, Zhenming Wan, Jian Zhang, Jilin Guo, Xingyu Liu, Qiang Hangzhou Dianzi University Key Laboratory of Complex Systems Modeling and Simulation of the Ministry of Education School of Computer Science and Technology Hangzhou China Hangzhou Dianzi University Key Laboratory of Complex Systems Modeling and Simulation of the Ministry of Education Itmo Joint Institute Hangzhou China Zhejiang University of Science and Technology School of Information and Electronic Engineering Hangzhou China Zhejiang Police College Dept. of Computer and Information Technology Hangzhou China

ISBN: (纸本)9798350304855

The rapid development of the Internet has revo-lutionized our lives, providing us with an array of convenient services. However, this revolution has also led to the problem of data overload. Personalized recommendation services have been widely recognized as an effective solution to this problem by both the industrial and academic communities. Accurate prediction of click-through rate (CTR) is a critical task in personalized recommendation systems since it can improve the user's shopping experience, ultimately increasing revenue for the platform. To achieve accurate CTR prediction, it is crucial to capture user interests. While several methods for interest modeling exist, challenges related to user interest evolution and user behavior noise need further attention. This paper proposes a novel CTR prediction model named the Evolutionary Interest Representation Network (EIRN), which learns the evolving interest representation of users from their behaviors, profiles, and environmental attributes. In the model, we introduce an advertisement correlation graph decomposition layer and a noise filter layer to enhance and purify the user behavior representation. An interest extraction layer is designed to capture sequential correlations and common characteristics between user behaviors, representing their interests. Additionally, as user interests evolve over time and their importance changes, an attention-based interest evolution layer is designed to track the evolution of user interests. Our proposed method is validated using four public datasets and an industrial dataset, showing its superiority over existing CTR prediction methods. © 2023 IEEE.

关键词： Forecasting

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Accurate Multl-polnt Padce Approxlmatlon of Mlicrowave Structures using Orthonormal Polynomlal Basls Functions

Accurate Multl-polnt Padce Approxlmatlon of Mlicrowave Struc...

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International Conference on Applied Electromagnetics and Communications (ICECom)

作者： D. Deschrijver T. Dhaene Computer Modeling and Simulation of Complex Systems COMS University of Antwerp Antwerp Belgium

Rational least-squares techniques are commonly used to build compact macromodels of passive microwave components. This paper describes a technique which calculates rational least-squares fitting models by matching S-parameter frequency data-samples and higher-order frequency derivatives (or moments) using orthonormal polynomial basis functions to improve the numerical accuracy. Some considerations are given about the optimal choice ofpolynomial basisfunctions.

关键词： Polynomials Frequency Computational modeling Least squares approximation Scattering parameters Symmetric matrices Computational efficiency Computer simulation Microwave theory and techniques Power system modeling

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Toward activity mapping for Artifact-Centric business process

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International Journal of u- and e- Service, Science and Technology 2016年第6期9卷 421-432页

作者： Yin, Yuyu Zhu, Zhengshuang Gao, Min Song, Aihua College of Electrical Engineering Zhejiang University HangzhouZhejiang310027 China School of Computer Science and Technology Hangzhou Dianzi University HangzhouZhejiang310018 China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education HangzhouZhejiang310018 China

The existing method of task mapping between process models is mostly based on the similarity of labels to get the similarity between tasks, which is affected by a single factor and easy to cause errors. This paper proposes a task mapping method for Artifact-Centric business process analyzes the data operation in business process execution. At first we add the description of data operation to EZ-Flow model. Secondly select the similar artifact attributes of the two business artifact by whole artifacts similarity calculation and based them to calculate two tasks’ similarity by label similarity, artifact operation similarity and context similarity calculations. Finally, the task mapping comes from the optimal selection of tasks’ similarities. Experimental results verify the effectiveness of the method, and show that the method reflects the data operation characteristics of business process model, as artifact task mapping of the process model provides a feasible method. © 2016 SERSC.

关键词： Mapping

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TaxiCast: Efficient Broadcasting of Multimedia Advertisements in Vehicular Ad-Hoc Networks

TaxiCast: Efficient Broadcasting of Multimedia Advertisement...

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Peng Liu Jia Xu Biao Xu Tingting Fu Key Laboratory of Complex Systems Modeling and Simulation Hangzhou Dianzi University Hangzhou

ISBN: (纸本)9781509053827

Traditional vision based vehicular advertising methods can only support planar advertisements. If there are obstacles blocking the line-of-sight between the advertiser and customers, the efficiency drops quickly. With the proliferation of vehicular ad-hoc networks (VANETs), advertisements can be disseminated through wireless means. However, the utility of advertisements still decay over time so that the advertiser will require fast delivery to achieve higher rewards. In this paper, we consider a taxi based multimedia advertisements broadcasting scenario where the taxis act as the advertising sources. To solve the contradiction between limited communication capacity and big data size, we propose TaxiCast which can achieve very good performance. It first applies signal strength based coding and decoding to obtain the demandings of the surrounding vehicles. Then it solves the advertisements selection process as a knapsack problem. We also consider the reward decay of advertisements and conflicts between the taxis. We conduct simulations in both fixed reward case and decayed reward case. The result shows that our scheme achieves better performance than the existing strategies.

关键词： Advertising Vehicles Public transportation Multimedia communication Ad hoc networks Digital multimedia broadcasting

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Energy efficiency comparison of hypervisors 7

Energy efficiency comparison of hypervisors

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7th International Green and Sustainable Computing Conference, IGSC 2016

作者： Jiang, Congfeng Ou, Dongyang Wang, Yumei You, Xindong Zhang, Jilin Wan, Jian Luo, Bing Shi, Weisong Key Laboratory of Complex Systems Modeling and Simulation Hangzhou Dianzi University Zhejiang China Mobile and Internet Systems Laboratory Department of Computer Science Wayne State University DetroitMI United States

ISBN: (纸本)9781509051175

Current cloud data centers are fully virtualized for service consolidations and power/energy reduction. Although virtualization could reduce real time power and overall energy consumption, the energy characteristics of hypervisors hosting different workloads are not well profiled and understood. In this paper, we investigate the power and energy characteristics of mainstream hypervisors and container engine, i.e., VMware ESXi, Microsoft Hyper-V, KVM, XenServer and Docker, on five different platforms (two mainstream 2U rack servers, one emerging ARM64 server, one desktop server, and one laptop) with hundreds of hours' power measures. We use both computing intensive and mixed web server-database workloads to explore the power and energy characteristics of different hypervisors. Extensive experiment results of four workload levels (very light, light, fair, and very heavy workload) demonstrate that hypervisors expose different power and energy characteristics. We find that: (1) Hypervisors expose different power and energy consumption on the same hardware running same workloads. (2) Although mainstream hypervisors have different energy efficiencies aligned with different workload types and workload levels, there is no single hypervisor that outperforms all other hypervisors on all platforms in terms of power or energy consumptions. (3) Although container virtualization is considered as light-weight virtualization in terms of implementation and maintenance, it is not essentially more power efficient than traditional virtualization technology. (4) ARM64 server does have lower power consumption, but they finish computing jobs with longer execution time and sometimes consume more energy. And ARM64 servers has medium energy consumption per database operations for mixed workloads. The results presented in this paper provide useful insights to system designers, as well as data center operators for power-aware workload placement and virtual machine scheduling. © 2016 IEEE.

关键词： Energy efficiency

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