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2013 International Conference on Advanced computer Science and Electronics Information(ICACSEI 2013)

作者： Ma Rui Cheng Yaping Gu Yunhua Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology Computer and Software Institute Nanjing University of Information Science & Technology

For finding precise segmentation, a new approach to remove and amend stroke connecting touching handwriting digits based on touching pattern is presented. Firstly, background region of touching digits is analyzed by using water reservoirs concept, and then the classification scheme is developed to identify the pattern of touching digits according to the structural features. In single-point touching type, two touching pairs of digits can be connected with a ligature, which can be a component of one of the digits or belong to no digit. After segmentation is performed to get isolated digits. the pattern-oriented ligature analysis investigates whether candidate ligature is a part of digit or a useless stroke and decides to be preserved or be removed. Experimental results show that the proposed approach is effective for segmentation of handwritten touching digits and segmentation errors have been reduced.

关键词： Water reservoirs, handwritten digits segmentation, remove stroke

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The Research of Acceptance and Scheduling Scheme Based on the Overall network QoS

The Research of Acceptance and Scheduling Scheme Based on th...

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The 2011 International Conference on Instrumentation, Measurement, Circuits and Systems(ICIMCS 2011)

作者： Xu Zhanyang Huang Li Ping Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science & Technology School of Computer & Software Nanjing University of Information Science & Technology

Many factors affect the QoS of network, and the congestion control mechanism is the most important one. In many references, the research on QoS is focused on the specific network architecture, while the QoS of overall network is still relatively seldom studied. In the paper, an acceptance and scheduling scheme based on the overall network QoS(ASSo Qo S) proposed is a new acceptance and scheduling algorithm of the link traffic. At first, the data stream with the admission control strategy will be distributed in different weights, the data flow will get the link(with different weight) transmission scheduling to improve the overall network QoS, according to the allocated weight of a network link and status by real-time network monitoring.

关键词： Acceptance,scheduling,QoS

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An intelligent agent-based method for task allocation in competitive cloud environments

An intelligent agent-based method for task allocation in com...

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作者： Kong, Yan Zhang, Minjie Ye, Dayong Zhu, Jinxiu Choi, Junho Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing210044 China School of Computer Science and Software Engineering University of Wollongong Wollongong2522 Australia Research Institute of Ocean and offshore engineering Hohai Universtiy Nantong226300 China Division of Undeclared Majors Chosun University Gwangju61452 Korea Republic of

In market-based cloud environments, both resource consumers and providers are self-interested;additionally, they can come and leave the environment freely. Therefore, the environment is competitive and uncertain. Because of the competition, participants may cheat in making deals, and this represents that the environment is insecure to resource providers who intend to earn profits through renting their resources to the tasks of resource consumers. Against this, in this paper, intelligent agents are designed to strategically quote for the tasks that they are interested in, on behalf of resource providers. Agents could quote according to the messages it obtained and the information learnt and predicted from the messages, to minimize the influence of insecure factors, such as cheating, competition, and dynamism. The experimental evaluation shows that the proposed method outperforms both a well-known multiresource negotiation-based task allocation method and a max-sum belief propagation–based method. Copyright © 2017 John Wiley & Sons, Ltd.

关键词： Intelligent agents

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Privacy-preserving top-k query in two-tiered wireless sensor networks

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International Journal of Advancements in Computing Technology 2012年第6期4卷 226-235页

作者： Yao, Yonglei Ma, Li Liu, Jingfa Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and Technology Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China

In a two-tiered wireless sensor network, storage nodes act as an intermediate tier between sensors and the sink for storing data and processing queries. This architecture has been widely adopted because of the benefits of power and storage saving for sensors as well as the efficiency of query processing. On the other hand, the importance of storage nodes also makes them attractive targets for compromise. A compromised storage node may leak sensitive information and breach data privacy. In this paper, we propose a privacy-preserving protocol specializing for top-k queries that prevents attackers from gaining sensitive information from sensor collected data. To preserve privacy, an orderpreserving encryption is employed to encrypt sensor data such that a storage node can correctly process top-k queries over encrypted data without knowing their actual values. Detailed theoretical and quantitative results confirm the high efficacy and efficiency of the proposed scheme.

关键词： Efficiency

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An ACO-LB algorithm for task scheduling in the cloud environment

Journal of Software

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Journal of software 2014年第2期9卷 466-473页

作者： Xue, Shengjun Li, Mengying Xu, Xiaolong Chen, Jingyi Nanjing University of Information Science and Technology School of Computer and Software Nanjing China Nanjing University of Information Science and Technology Jiangsu Engineering Center of Network Monitoring Nanjing China

In the face of a large number of task requests which are submitted by users, the cloud data centers need not only to finish these massive tasks but also to satisfy the user's service demand. How to allocate virtual machine reasonably and schedule the tasks efficiently becomes a key problem to be solved in the cloud environment. This paper proposes a ACO-LB(Load balancing optimization algorithm based on ant colony algorithm) algorithm to solve the load imbalance of virtual machine in the process of task scheduling The ACO-LB algorithm can adapt to the dynamic cloud environment. It will not only shorten the makespan of task scheduling, but also maintain the load balance of virtual machines in the data center. In this paper, the workflow scheduling is simulated in CloudSim. The results show that the proposed ACO-LB algorithm has better performance and load balancing ability. © 2014 ACADEMY PUBLISHER.

关键词： Ant colony optimization

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An improved algorithm based on NSGA-II for cloud PDTs scheduling

Journal of Software

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Journal of software 2014年第2期9卷 443-450页

作者： Xue, Shengjun Liu, Fei Xu, Xiaolong Nanjing University of Information Science and Technology School of Computer and Software Nanjing China Nanjing University of Information Science and Technology Jiangsu Engineering Center of Network Monitoring Nanjing China

Partly dependent tasks (PDTs) scheduling with multi-objective optimization in cloud computing is an NP-hard problem. Taking the quality of service (QoS) requirements of users that use cloud computing into account, we set the cost and time requirements of handling the PDTs as the multiple objectives and present an improved algorithm based on the non-dominated sorting genetic algorithm-II (NSGA-II) to find the Pareto optimal set of the PDTs scheduling. In this paper, the similar task order crossover (STOX) operator is applied to make the evolution more efficient while the shift mutation operator is applied in the process of evolution to avoid the premature convergence. In addition, we present a new method named self-adapting crowding distance (SCD) operator, which can improve the diversity of individuals in the Pareto-optimal front. The simulation results and analysis show that the proposed algorithm performs better than NSGA-II in maintaining the diversity and the distribution of the Pareto-optimal solutions in the cloud PDTs scheduling. © 2014 ACADEMY PUBLISHER.

关键词： Multiobjective optimization

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Multimodal Spatiotemporal Feature Map for Dynamic Gesture Recognition

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computer Systems Science & engineering 2023年第7期46卷 671-686页

作者： Xiaorui Zhang Xianglong Zeng Wei Sun Yongjun Ren Tong Xu Engineering Research Center of Digital Forensics Ministry of EducationJiangsu Engineering Center of Network MonitoringSchool of Computer and SoftwareNanjing University of Information Science&TechnologyNanjing210044China Wuxi Research Institute Nanjing University of Information Science&TechnologyWuxi214100China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology(CICAEET) Nanjing University of Information Science&TechnologyNanjing210044China School of Automation Nanjing University of Information Science&TechnologyNanjing210044China University of Southern California Los AngelesCaliforniaUSA

Gesture recognition technology enables machines to read human gestures and has significant application prospects in the fields of human-computer interaction and sign language *** researches usually use convolutional neural networks to extract features directly from raw gesture data for gesture recognition,but the networks are affected by much interference information in the input data and thus fit to some unimportant *** this paper,we proposed a novel method for encoding spatio-temporal information,which can enhance the key features required for gesture recognition,such as shape,structure,contour,position and hand motion of gestures,thereby improving the accuracy of gesture *** encoding method can encode arbitrarily multiple frames of gesture data into a single frame of the spatio-temporal feature map and use the spatio-temporal feature map as the input to the neural *** can guide the model to fit important features while avoiding the use of complex recurrent network structures to extract temporal *** addition,we designed two sub-networks and trained the model using a sub-network pre-training strategy that trains the sub-networks first and then the entire network,so as to avoid the subnetworks focusing too much on the information of a single category feature and being overly influenced by each other’s *** results on two public gesture datasets show that the proposed spatio-temporal information encoding method achieves advanced accuracy.

关键词： Dynamic gesture recognition spatio-temporal information encoding multimodal input pre-training score fusion

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Compressive Sensing Sparse Sampling Method for Composite Material Based on Principal Component Analysis

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Transactions of Nanjing University of Aeronautics and Astronautics 2018年第2期35卷 282-289页

作者： Sun Yajie Gu Feihong Ji Sai Wang Lihua Jiangsu Engineering Centre of Network Monitoring Nanjing University of Information Science and Technology Nanjing 210044 P. R. China Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology Nanjing University of Information Science and Technology Nanjing 210044 P. R. China School of Computer and Software Nanjing University of Information Science and Technology Nanjing 210044 P. R. China School of Information and Control Nanjing University of Information Science and Technology Nanjing 210014 P. R. China

Signals can be sampled by compressive sensing theory with a much less rate than those by traditional Nyquist sampling theorem,and reconstructed with high probability,only when signals are sparse in the time domain or a transform *** signals are not sparse in real world,but can be expressed in sparse form by some kind of sparse *** used sparse transformations will lose some information,because their transform bases are generally *** this paper,we use principal component analysis for data reduction,and select new variable with low dimension and linearly correlated to the original variable,instead of the original variable with high dimension,thus the useful data of the original signals can be included in the sparse signals after dimensionality reduction with maximize ***,the loss of data can be reduced as much as possible,and the efficiency of signal reconstruction can be ***,the composite material plate is used for the experimental *** experimental result shows that the sparse representation of signals based on principal component analysis can reduce signal distortion and improve signal reconstruction efficiency.

关键词： principal component analysis compressive sensing sparse representation signal reconstruction

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Quantum Blockchain: A Decentralized, Encrypted and Distributed Database Based on Quantum Mechanics

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Journal of Quantum Computing 2019年第2期1卷 49-63页

作者： Chuntang Li Yinsong Xu Jiahao Tang Wenjie Liu School of Computer and Software Nanjing University of Information Science and TechnologyNanjing210044China Jiangsu Engineering Center of Network Monitoring Nanjing University of Information Science and TechnologyNanjing210044China

Quantum blockchain can be understood as a decentralized, encrypted anddistributed database based on quantum computation and quantum information *** the data is recorded in the quantum blockchain, it will not be maliciously tamperedwith. In recent years, the development of quantum computation and quantum informationtheory makes more and more researchers focus on the research of quantum blockchain. Inthis paper, we review the developments in the field of quantum blockchain, and brieflyanalyze its advantages compared with the classical blockchain. The construction and theframework of the quantum blockchain are introduced. Then we introduce the method ofapplying quantum technology to a certain part of the general blockchain. In addition, theadvantages of quantum blockchain compared with classical blockchain and itsdevelopment prospects are summarized.

关键词： Quantum computation quantum blockchain digital currency

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A comparative study of quantum evolutionary algorithm and particle swarm optimization for numerical optimization problems

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2011年第7期5卷 182-190页

作者： Ma, Tinghuai Yan, Qiaoqiao Xuan, Wenxia Wang, Bin Jiangsu Engineering Center of Network Monitoring School of Computer and Software Nanjing University of Information Science and Technology China National Meteorological Information Centre Chinese Meteorological Administration China

Quantum evolutionary algorithm (QEA) and particle swarm optimization (PSO) are two different types of intelligent optimization algorithm. Many efforts on these two algorithms have progressed actively in recent years. In this paper, six typical and complex benchmark testing functions are applied to verify their abilities for dealing with numerical optimization problems. The results show that QEA has better global search capability, which is manifested very outstandingly for the multi peak function optimization, but its convergence speed is slower. Contrarily, PSO has faster convergence speed, and it can solve certain optimization problem rapidly, especially for single peak functions.

关键词： Particle swarm optimization (PSO)

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