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2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)最新文献

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Torque ripple reduction of four-phase SRM based on DTC method 基于直接转矩控制方法的四相SRM转矩脉动抑制
Yufei Han, P. Xu, Qishuang Ma
Switched reluctance motor (SRM) has attracted attention of the motor industry due to its simple structure, high reliability and low cost. However, the inherent shortcoming of SRM, principally the torque ripple, limited its development. In this paper, the direct torque control (DTC) method for four-phase SRM will be researched. The relationship between space flux vector and voltage vector will be analyzed, and the switch on-off state principle will be established. The DTC control strategy is simulated by using Simulink, compared with the widely used traditional strategy -current chopper control (CCC). The simulation shows that DTC for four-phase (8/6) SRM can reduce the torque ripple with 73% compared to the traditional strategy.
开关磁阻电动机(SRM)以其结构简单、可靠性高、成本低等优点受到电机行业的广泛关注。然而,SRM固有的缺点,主要是转矩脉动,限制了它的发展。本文主要研究四相SRM的直接转矩控制方法。分析了空间磁通矢量与电压矢量之间的关系,建立了开关通断状态原理。利用Simulink对DTC控制策略进行了仿真,并与传统的斩波控制策略(CCC)进行了比较。仿真结果表明,与传统策略相比,四相(8/6)SRM的直接转矩控制策略可使转矩脉动减小73%。
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引用次数: 3
User Association in Cache-enabled Ultra Dense Network with JT CoMP 使用JT CoMP的启用缓存的超密集网络中的用户关联
Siyun Chen, Ye Wang, Jia Yu, Nian-sheng Wang, Yan Yan
Coordinated Multi Point(CoMP) can be employed to reduce interference and improve network throughput in Ultra Dense Network(UDN). However, backhaul capacity is a bottleneck in achieving the goal. Fortunately, proactive caching is a promising technology to alleviate backhaul load. In a cache-enabled system with CoMP, user association is an important problem which can give prominence to its advantage. In this paper, to pursue large network throughput gain at less cost of backhaul load, we formulate user association problem as an Integer Programming(IP) problem. Given the strategy of content placement, we propose an N-Best Binary Particle Swarm Optimization(NB-BPSO) algorithm to solve the problem. Simulation results show that our algorithm improves network throughput and reduces backhaul traffic significantly compared with traditional user association schemes.
在超密集网络(UDN)中,采用协调多点(CoMP)可以减少干扰,提高网络吞吐量。然而,回程容量是实现这一目标的瓶颈。幸运的是,主动缓存是一种很有前途的减轻回程负载的技术。在支持缓存的CoMP系统中,用户关联是一个重要的问题,可以突出其优势。为了在更小的回程负载代价下获得更大的网络吞吐量,我们将用户关联问题表述为整数规划(IP)问题。针对内容放置策略,提出了一种N-Best二元粒子群优化算法(NB-BPSO)来解决该问题。仿真结果表明,与传统的用户关联方案相比,该算法显著提高了网络吞吐量,减少了回程流量。
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引用次数: 4
Application of Cloud Model and Matter Element Theory in Transformer Fault Diagnosis 云模型和物元理论在变压器故障诊断中的应用
Tao Wang, Li-qun Shang, Xianmin Ma
Based on cloud model and matter element theory, and combining the uncertain reasoning characteristics of the cloud model and qualitative and quantitative analysis can be carried out at the same time by matter element theory, a power transformer fault diagnosis method is proposed, which effectively solves the problem of fewer data samples, especially fewer fault data samples. Taking the actual data as an example, the improved matter-element theory model and correlation calculation data are compared, and the results show that the improved matter element theory model has higher diagnostic accuracy than traditional methods. Example analysis verifies the correctness and effectiveness of the method.
基于云模型和物元理论,结合云模型的不确定推理特点和物元理论可同时进行定性和定量分析的特点,提出了一种电力变压器故障诊断方法,有效地解决了数据样本少,特别是故障数据样本少的问题。以实际数据为例,将改进的物元理论模型与相关计算数据进行比较,结果表明改进的物元理论模型比传统方法具有更高的诊断精度。算例分析验证了该方法的正确性和有效性。
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引用次数: 3
A Secure Dual-Core Processor Design for Embedded Terminal Device 嵌入式终端设备安全双核处理器设计
Xiaosheng Wang, Yongfei Han, Yanchun Yang
Embedded terminal devices are widely used in security-critical systems such as financial payments, and the security of their confidential data is becoming a concern for people. This paper presents a design method of embedded secure dual-core processor for smart terminal devices. The method uses a combination of physical security design and logical security design to protect the confidential data. In the physical security design, a physical isolation between the two cores is implemented through the interconnection network and the dual-core communication module, so that the confidential data runs in a closed environment completely isolated from the actual application to prevent the possibility of the confidential data being drawn at the application development terminal. In the logical security design, using the advantages of dual core, a combination of software and hardware is adopted to implement two-core cooperative encryption to prevent side-channel attacks from leaking confidential data. The proposed processor has very little hardware overhead and performance penalty.
嵌入式终端设备广泛应用于金融支付等安全关键系统中,其机密数据的安全性日益受到人们的关注。提出了一种用于智能终端设备的嵌入式安全双核处理器的设计方法。该方法采用物理安全设计和逻辑安全设计相结合的方法来保护机密数据。在物理安全设计上,通过互联网络和双核通信模块实现两核之间的物理隔离,使机密数据运行在与实际应用完全隔离的封闭环境中,防止机密数据在应用开发终端被提取的可能性。在逻辑安全设计上,利用双核的优势,采用软硬件结合的方式实现双核协同加密,防止侧信道攻击导致机密数据泄露。所建议的处理器的硬件开销和性能损失很小。
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引用次数: 0
The Rapid and Coordinated Charging Strategy for Private Electric Vehicles 私人电动汽车快速协调充电策略
Hengjie Li, L. Wen, Wei Chen, Xu Gong, Xianqiang Zeng
In order to solve the problem of the rapid and coordinated charging of private electric vehicles, two coordinated charging strategies were formulated under the rapid charging mode. One is to establish a coordinated charging strategy that minimizes the total charging time of electric vehicles, the minimum of power standard deviation and the peak-valley difference of distribution networks. The multi-objective function is normalized to a single-target solution by weighted summation method. The other is to use the total charging time of electric vehicles as a constraint to achieve peak clipping and filling of the distribution network. Taking the collected traffic data of weekdays and holidays in Lanzhou City as an example, two kinds of coordinated optimization schemes were simulated and analyzed on weekdays and holidays conditions respectively, and the genetic algorithm was used to solve the problem. The results show that the total charging time is the smallest when charging is uncoordinated charging, and peak clipping and filling effect of the distribution network is the worst; when electric vehicles do not consider the time target for coordinated charging, peak clipping and filling effect of the distribution network is the best and the total charging time is the longest; when electric vehicles contain the time target for coordinated charging, peak clipping and filling effect of the distribution network is intermediate.
为解决私人电动汽车快速协调充电问题,在快速充电模式下制定了两种协调充电策略。一是建立以电动汽车总充电时间最小、功率标准差最小、配电网峰谷差最小为目标的协调充电策略。采用加权求和法将多目标函数归一化为单目标解。二是以电动汽车总充电时间为约束条件,实现配电网的削峰填充。以收集到的兰州市工作日和节假日交通数据为例,分别在工作日和节假日条件下对两种协调优化方案进行了仿真分析,并采用遗传算法进行了求解。结果表明:充电方式为非协调充电时,总充电时间最短,配网削峰充峰效果最差;当电动汽车不考虑协调充电的时间目标时,配电网削峰充能效果最好,总充电时间最长;当电动汽车包含协调充电的时间目标时,配电网的削峰和充电效果是中等的。
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引用次数: 1
Research and Implementation of Financial Approval System Based on jBPM Engine 基于jBPM引擎的财务审批系统的研究与实现
Hui Jiang
on the basis of analyzing and explaining the concept of workflow, this paper analyzes the open source workflow engine jBPM (Java Business Process Management) from the perspectives of architecture, database table structure, authority management and so on. Combining the financial approval process of the enterprise, a prototype of financial approval management system is developed, and the main design ideas and key technologies to be realized are expounded in details. The trial application of the system shows that the jBPM workflow engine has obvious advantages in such aspects as business process customization, automatic management process control, scalability and security. It can meet flexible and changeable needs of the business process, and does improve the efficiency of financial approval, which has guiding significance in engineering practices.
本文在分析和阐述工作流概念的基础上,从体系结构、数据库表结构、权限管理等方面对开源工作流引擎jBPM (Java Business Process Management)进行了分析。结合企业财务审批流程,开发了财务审批管理系统原型,详细阐述了主要设计思想和要实现的关键技术。系统的试用表明,jBPM工作流引擎在业务流程定制、自动化管理流程控制、可扩展性和安全性等方面具有明显的优势。能够满足业务流程灵活多变的需求,提高财务审批效率,在工程实践中具有指导意义。
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引用次数: 4
A new semi-quantum key distribution protocol with high efficiency 一种新的高效半量子密钥分发协议
W. Liu, Huaijun Zhou
Boyer et al put forward the first semi-quantum key distribution (BKM2007), which is completely robust while one side is limited. However, its efficiency is not satisfactory. In this paper, we present a high-efficient semi-quantum key distribution. The efficiency for qubits is approximately 50% while that is approximately 25% in the BKM2007 protocol, which means that the sifted key proportion of the SQKD protocol is double as that in the BKM2007 protocol. Furthermore, the proportion of information bits in our SQKD protocol is not lower than that of the BKM2007 protocol. Analysis shows that our protocol is still robust.
Boyer等人提出了第一个半量子密钥分发(BKM2007),它是完全鲁棒的,而一侧是有限的。然而,其效率并不令人满意。本文提出了一种高效的半量子密钥分发方法。量子比特的效率约为50%,而BKM2007协议的效率约为25%,这意味着SQKD协议的筛选密钥比例是BKM2007协议的两倍。此外,我们的SQKD协议中信息位的比例不低于BKM2007协议。分析表明,我们的协议仍然具有鲁棒性。
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引用次数: 2
Research and Realization of Nginx-based Dynamic Feedback Load Balancing Algorithm 基于nginx的动态反馈负载均衡算法的研究与实现
Zepeng Wen, Gongliang Li, Guang-Hong Yang
With the rapid development of internet technology, internet has brought great conveniences to the vast majority of users. However, the exploding of concurrent visits also raised huge challenges to the working capacity of network servers. Thus server cluster and load balancing technologies become a powerful approach to deal with the bottleneck of server terminals. The Nginx-based load balancing method, featured with its high cost performance and extensibility, has been widely applied. This paper raised a Nginx-based dynamic feedback load balancing algorithm. This loading algorithm module is realized by designing an algorithm on the basis of queuing theory and through Nginx plug-in mechanism. Then the paper established an experiment environment, and used Loadrunner software to conduct a comparison test on the performances of the Nginx built-in IP Hash algorithm & Weighted Round-Robin Scheduling and the dynamic feedback algorithm raised in this paper. The results showed that dynamic algorithm raised in this paper can better realize the load balancing.
随着互联网技术的飞速发展,互联网给广大用户带来了极大的便利。然而,并发访问量的爆炸式增长也对网络服务器的工作能力提出了巨大的挑战。因此,服务器集群和负载均衡技术成为解决服务器终端瓶颈的有力手段。基于nginx的负载均衡方法具有较高的性价比和可扩展性,得到了广泛的应用。本文提出了一种基于nginx的动态反馈负载均衡算法。该加载算法模块是基于排队论,通过Nginx插件机制设计算法实现的。然后建立实验环境,使用Loadrunner软件对Nginx内置的IP哈希算法&加权轮循调度与本文提出的动态反馈算法的性能进行对比测试。结果表明,本文提出的动态算法能较好地实现负载均衡。
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引用次数: 7
Research on Load Balancing Method in Cloud Computing 云计算中负载均衡方法的研究
Qingyu Wang, Dongfei Liu
With the development and application of computer technology, cloud computing as a new computing model has become a hot topic in academic research. How to effectively use cluster resources and improve the overall performance of the system have become hot topics and problems in the field of cloud computing. And a reasonable method of load balance is an effective way to solve this problem. Based on the deep study of Shuffled Frog Leading Algorithm, this paper proposes a method of load balance based on improved Shuffled Frog Leaping Algorithm (ISFLA) in cloud computing. Finally, a simulation experiment of the load balance based on improved Shuffled Frog Leaping Algorithm was performed on CloudSim, a simulation platform for cloud computing. Through comparing with the experimental results of other intelligent optimization algorithms, it was found that ISFLA has a better load balance effect and it is feasible.
随着计算机技术的发展和应用,云计算作为一种新的计算模式已经成为学术界研究的热点。如何有效地利用集群资源,提高系统的整体性能已经成为云计算领域的热门话题和问题。而合理的负载均衡方法是解决这一问题的有效途径。在深入研究shuffledfrog Leading Algorithm的基础上,提出了一种基于改进的shuffledfrog leapalgorithm (ISFLA)的云计算负载均衡方法。最后,在云计算仿真平台CloudSim上进行了基于改进的shuffledfrog跳跃算法的负载均衡仿真实验。通过与其他智能优化算法的实验结果对比,发现ISFLA具有更好的负载均衡效果,是可行的。
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引用次数: 1
Object detection based on Online hard examples mining with residual network 基于残差网络在线硬样例挖掘的目标检测
Zhang Chao, Chen Ying
In order to detect objects more correctly in pictures, an object detection algorithm based on the Online hard example mining with residual network is put forward, which takes Faster R-CNN as a benchmark. The working method of Faster R-CNN based on deep learning is portrayed, and the drawback and improvement ways of the algorithm are analyzed. More specifically, a residual network is used to replace the original ZF or VGG network to obtain more effective deep convolution feature maps. Besides, in order to strengthen the generalization capacity of the learning network model, the network parameters with hard examples are regenerated during training to make the network training more effectively. Finally, results of the experiments on Pascal VOC2007, Pascal VOC2007+VOC2012 and BIT datasets indicate that compared with Faster R-CNN, our method improves detection accuracy by 3.5%, 7.1%, 6.4% severally on the three datasets.
为了更准确地检测图像中的目标,以Faster R-CNN为基准,提出了一种基于残差网络在线硬例挖掘的目标检测算法。描述了基于深度学习的Faster R-CNN的工作方法,分析了算法的不足和改进途径。更具体地说,用残差网络代替原来的ZF或VGG网络,得到更有效的深度卷积特征映射。此外,为了增强学习网络模型的泛化能力,在训练过程中对带有硬样例的网络参数进行再生,使网络训练更加有效。最后,在Pascal VOC2007、Pascal VOC2007+VOC2012和BIT数据集上的实验结果表明,与Faster R-CNN相比,本文方法在三个数据集上的检测准确率分别提高了3.5%、7.1%和6.4%。
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引用次数: 1
期刊
2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
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