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2013 IEEE Conference Anthology, ANTHOLOGY 2013

作者： Lin, Chuanwen Gu, Naijie Cai, Songsong School of Computer Science and Technology University of Science and Technology of China Anhui Province Key Laboratory of Computing and Communication Software Hefei China Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479916603

Cache plays an important role in multilevel storage system. It can greatly reduce the memory access latency. So the cache hit rate has a significant impact on the performance of the application. Many processors provide cache locking mechanism, which can lock the certain lines in cache. It enables an application to affect the cache replacement decisions under software control. This paper presents a novel method, which uses cache locking mechanism to reduce the run-time of java virtual machine (JVM). JVM often uses just-in-time compiler (JIT) to improve the performance. JIT compiles the method that has been invoked certain times, and then JVM executes the compiled method when invoking this method the next time. This paper analyzes the calling situation of the compiled method in JVM, and then proposes a heuristic approach to lock the compiled method in cache for an appropriate period. It can reduce cache miss rate when JVM executes the compiled method. The algorithm has been implemented in HotSpot based on Loongson-3A. Also, it can be implemented in other run-time systems. Experiment results show that the cache locking heuristic algorithm averagely reduces the cache miss rate by 8.5%, and improves the performance by 4% on the benchmark SPECjvm2008. © 2013 IEEE.

关键词： Application programs

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Fusion of visible and thermal images for facial expression recognition

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Frontiers of Computer Science 2014年第2期8卷 232-242页

作者： Shangfei WANG Shan HE Yue WU Menghua HE Qiang JI School of Computer Science and Technology University of Science and Technology of China Hefei 230027 China Key Lab of Computing and Communicating Software of Anhui Province Hefei 230027 China Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute Troy NY12180-3590 USA

Most present research into facial expression recognition focuses on the visible spectrum, which is sen- sitive to illumination change. In this paper, we focus on in- tegrating thermal infrared data with visible spectrum images for spontaneous facial expression recognition. First, the ac- tive appearance model AAM parameters and three defined head motion features are extracted from visible spectrum im- ages, and several thermal statistical features are extracted from infrared （IR） images. Second, feature selection is per- formed using the F-test statistic. Third, Bayesian networks BNs and support vector machines SVMs are proposed for both decision-level and feature-level fusion. Experiments on the natural visible and infrared facial expression （NVIE） spontaneous database show the effectiveness of the proposed methods, and demonstrate thermal 1R images＇ supplementary role for visible facial expression recognition.

关键词： facial expression recognition feature-level fu-sion decision-level fusion support vector machine Bayesiannetwork thermal infrared images visible spectrum images

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Tuning linux's load balancing algorithm for CMT system

Tuning linux's load balancing algorithm for CMT system

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2013 IEEE Conference Anthology, ANTHOLOGY 2013

作者： Peng, Jianzhang Gu, Naijie Li, Yehua Xu, Zhang School of Computer Science and Technology University of Science and Technology of China Hefei China Anhui Province Key Laboratory of Computing and Communication Software USTC SICT Joint Laboratory of Network and Communication Hefei China

ISBN: (纸本)9781479916603

Linux 2.6 load balancing algorithm on scheduling domain supports CMP, CMT, SMP, NUMA architecture. For SMT, the algorithm try to assign the new process to the idlest CPU of the idlest core, and if the first CPU of a core is comparati vely idle, it tries to pull moderate amount of tasks from the busiest CPU of the core to balance the system workload periodically. Under certain circumstances, this strategy would cause the system to be more unbalanced. For the above defects, the algorithm can be adjusted in two ways. (1) The idlest CPU of the entire system should be selects for the new process;(2) the idlest CPU of a scheduling domain periodically can move tasks from the scheduling domain to itself. After applying this optimization, the system's performance achieved the highest increase of 8% in hackbench testing on an 8-core 32-thread XLR532 processor. © 2013 IEEE.

关键词： Linux

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Directed differential evolution based on directional derivative for numerical optimization problems

Directed differential evolution based on directional derivat...

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2011 11th International Conference on Hybrid Intelligent Systems, HIS 2011

作者： Zhang, Jun Luo, Wenjian School of Computer Science and Technology University of Science and Technology of China Hefei 230027 Anhui China Anhui Province Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei 230027 Anhui China

ISBN: (纸本)9781457721502

Differential Evolution is one kind of Evolutionary Algorithms, which has been successfully applied to solve many optimization problems. In this paper, a directed differential mutation (DDM), which utilizes the directional derivative to decide a suitable search direction and a proper mutation step size, is proposed. It is merged into the classical DE to form a new algorithm, named directed differential evolution (DDE). The performance of the DDE is tested on 23 classical problems for numerical optimization. The experimental results demonstrate that the performance of the DDE outperforms the classical DE on most functions. © 2011 IEEE.

关键词： Evolutionary algorithms

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SvdNPD: A negative data publication method based on the sensitive value distribution

SvdNPD: A negative data publication method based on the sens...

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International Workshop on Artificial Immune Systems, AIS 2015

作者： Wu, Linli Luo, Wenjian Zhao, Dongdong School of Computer Science and Technology University of Science and Technology of China Hefei Anhui230027 China Anhui Province Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei Anhui230027 China

ISBN: (纸本)9781509002986

Existing data publication methods retain the relationship between the quasi-identifier attributes and sensitive attributes of published data. We call them "positive data publication". However, it will lead to potential risk that attackers could deduce the privacy of the corresponding individuals from the published data. Recently, by combining the negative representation with k-anonymity and l-diversity, (k, m)- anonNPD and (l, m)-divNPD algorithms have been proposed, which improve the degree of privacy because the sensitive value of each individual is transformed into a negative value randomly. However, to reduce the average error of the reconstructed distribution, the data published by (k, m)-anonNPD and (l, m)-divNPD are often much larger than the original data. In this paper, we take the Sensitive Value Distribution into consideration, and propose a novel Negative Data Publication approach (i.e. SvdNPD), which is based on l-diversity. According to the sensitive value distribution, the negative selection probability of the sensitive attribute in each record can be calculated. Then the data could be published by transforming the sensitive value to a negative one with this probability. Experimental results show that the effective usage of the individual sensitive value distribution could enhance the utility of published data. Meanwhile, compared with (l, 1)-divNPD, SvdNPD just sacrifices a tiny privacy degree which is acceptable. © 2015 IEEE.

关键词： Metadata

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Real-Valued Negative Databases 12

Real-Valued Negative Databases

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12th European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, ECAL 2013

作者： Zhao, Dongdong Luo, Wenjian School of Computer Science and Technology University of Science and Technology of China Hefei Anhui230027 China Anhui Province Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei Anhui230027 China

ISBN: (纸本)9780262317092

The negative database (NDB) is the negative representation of original data. Existing work has demonstrated that NDB can be used to preserve privacy and hide information. However, most work about NDB is based on binary representation. In some applications which are naturally descripted in real-valued space, the binary negative database is hard to be applied appropriately. Therefore, the real-valued negative database is proposed in this paper, and reversing the real-valued negative database is proved to be an NP-hard problem. Moreover, an effective algorithm for generating real-valued negative databases is given. Finally, an example of applying the realvalued negative database to the privacy-preserving data publication is descripted, and it shows that the real-valued negative database is valuable in practice. © 2013 Proceedings of the 12th European Conference on the Synthesis and Simulation of Living Systems: Advances in Artificial Life, ECAL 2013. All rights reserved.

关键词： Computational complexity

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Fast searching optimal negative surveys

Fast searching optimal negative surveys

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2014 International Conference on Information and Network Security, ICINS 2014

作者： Lu, Yihui Luo, Wenjian Zhao, Dongdong School of Computer Science and Technology University of Science and Technology of China Hefei Anhui230027 China Anhui Province Key Laboratory of Software Engineering in Computing and Communication University of Science and Technology of China Hefei Anhui230027 China

ISBN: (纸本)9781849199094

In a negative survey, a category which does not agree with the fact of each participant is collected. Hence, data collectors cannot acquire the realistic data of participants, and this can efficiently protect participants' private information and sensitive data. However, existing approaches used to estimate the distribution of positive surveys from negative surveys are not practical and time-consuming. This paper proposed a method in order to acquire practical estimation results with a lower computing cost, namely fastNStoPS. Usually, privacy and utility are used to measure the performances of negative surveys, and they are two conflicting metrics. Users have different demands on privacy (or utility) under different circumstances. The optimal negative surveys are a Pareto font of these two objectives. To demonstrate its practicability, the proposed fastNStoPS method is embedded into a Differential Evolution (DE), which is used to find the optimal negative surveys. The experiment results show that the DE has a much better performance on find the optimal negative surveys, and the computing cost is very low.

关键词： Surveys

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Quantitative and qualitative forecasting applied to supply-chain inventory

Quantitative and qualitative forecasting applied to supply-c...

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2010 2nd International Conference on MultiMedia and Information Technology, MMIT 2010

作者： Shao, Chenxi Wang, Lizhong Computer Science and Technology School of University of Science and Technology of China Hefei China Anhui Province Key Laboratory Software in Computing and Communication Hefei 230027 China MOE-Microsoft Key Laboratory Multimedia Computing and Communication University of Science and Technology of China Hefei China

ISBN: (纸本)9780769540085

In the process of supply chain (SC) management, time inventory management problem is extremely important. In terms of academic methods, quantitative methods are very popular as the researchers could calculate the inventory if they got the historic data of some SC. However, based on quantitative methods and the results cannot too be convincible. This paper considered a supply chain system includes several kinds of products. As to the historic suppliers' demand data of this SC system, firstly we applied a quantitative forecasting analysis method to it;secondly we made a qualitative analysis to improve the complex system's inventory management performance. According to the comparison between quantitative method and the method used in this paper, we find that the accuracy is more perfect. Not only the inventory cost is lower, also the forecasting accuracy is better. © 2010 IEEE.

关键词： Supply chain management

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Implicit interpolation of time vector series

Implicit interpolation of time vector series

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2011 7th International Conference on Natural Computation, ICNC 2011

作者： Li, Dao-Lun Zha, Wen-Shu Lu, De-Tang Department of Modern Mechanics University of Science and Technology of China China Key Laboratory of Software in Computing and Communication of Anhui Province University of Science and Technology of China Hefei 230027 China

ISBN: (纸本)9781424499533

Time vector series abound in many fields, which are different from time series. Based on mapping and implicit function interpolation, the method of implicit interpolation over time vector series is developed and studied. Time vector series are mapped into a sequence of closed curves or surfaces, which are seen as the interpolation data set. Based on the interpolation data set, the implicit interpolation function is constructed and from which an isoline is drawn. The inverse mapping of the isoline is the prediction of vector series at the new time. Based on the well logging data an application is given to predict the unknown isotope logging data of year 2004 with the known data of year 2003 and 2005 which shows the performance of the method. © 2011 IEEE.

关键词： Mapping

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Evolutionary Games on Weighted Newman-Watts Small-World Networks

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Chinese Physics Letters 2009年第5期26卷 255-258页

作者：杜文博曹先彬赵琳周宏 Department of Computer Science and Technology University of Science and Technology of China Hefei 230026 Anhui Province Key Laboratory of Software in Computing and Communication University of Science and Technology of China Hefei 230026 School of Life Sciences University of Science and Technology of China Hefei 230026

We investigate the evolutionary prisoner＇s dilemma game （PDG） on weighted Newman-Watts （NW） networks. In weighted NW networks, the link weight ωij is assigned to the link between the nodes i and j as： ωij = （ki · kj）^β, where ki（kj） is the degree of node i（j） and β represents the strength of the correlations. Obviously, the link weight can be tuned by only one parameter β. We focus on the cooperative behavior and wealth distribution in the system. Simulation results show that the cooperator frequency is promoted by a large range of β and there is a minimal cooperation frequency around β = -1. Moreover, we also employ the Gini coefficient to study the wealth distribution in the population. Numerical results show that the Gini coefficient reaches its minimum when β≈ -1. Our work may be helpful in understanding the emergence of cooperation and unequal wealth distribution in society.

关键词： PRISONER'S dilemma game COOPERATIVENESS INCOME distribution SIMULATION methods & models GINI coefficient NUMERICAL analysis

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