Calculations of operating schemes for a passive harmonic cavity in HLS-Ⅱ

A passive higher harmonic cavity (HHC) will be used in the Hefei Light Source II Project (HLS-Ⅱ) to lengthen the bunch and consequently increase the beam lifetime dominated by Touschek scattering. The effects of constant voltage and constant detuning have been calculated and compared over the operating current from 0.4 to 0.2 A on the bunch lengthening for the passive normal conducting harmonic cavity system in HLS-Ⅱ. The results show that the bunch shape has less change and the lifetime improvement factors are not less than 2.7 over the beam currents for the constant voltage case. The constant voltage operating scheme may be applied to our machine.     

四频差动激光陀螺的磁敏感性与最佳工作点

为了减小四频差动激光陀螺(DILAG)的磁敏感性,研究了工作点对磁敏感性的影响.根据理论分析,磁敏感性主要来自于左、右旋陀螺相对比例因子修正的不对称,它与工作点有关,在最佳工作点下为零.通过在DILAG增益管上缠绕线圈产生轴向磁场,调节附着于腔平移镜上的压电换能器的驱动电压改变工作点,得到磁灵敏度随工作点的变化规律.结果表明,DILAG在最佳工作点下对外界磁场不敏感,且在每个工作区存在唯一的最佳工作点.DILAG工作在最佳工作点可以使外界干扰在差动中消除,因而有利于提高其性能.为了保证DILAG工作在最佳工作点,必须改变传统的光强差稳频方式.     

A Framework for Detecting System Performance Anomalies Using Tracing Data Analysis

Advances in technology and computing power have led to the emergence of complex and large-scale software architectures in recent years. However, they are prone to performance anomalies due to various reasons, including software bugs, hardware failures, and resource contentions. Performance metrics represent the average load on the system and do not help discover the cause of the problem if abnormal behavior occurs during software execution. Consequently, system experts have to examine a massive amount of low-level tracing data to determine the cause of a performance issue. In this work, we propose an anomaly detection framework that reduces troubleshooting time, besides guiding developers to discover performance problems by highlighting anomalous parts in trace data. Our framework works by collecting streams of system calls during the execution of a process using the Linux Trace Toolkit Next Generation(LTTng), sending them to a machine learning module that reveals anomalous subsequences of system calls based on their execution times and frequency. Extensive experiments on real datasets from two different applications (e.g., MySQL and Chrome), for varying scenarios in terms of available labeled data, demonstrate the effectiveness of our approach to distinguish normal sequences from abnormal ones.     

胜利油田电力系统通信网规划设计

介绍了胜利油田电力系统通信网的总体设计方案,讲述了网络系统规划设计的目标、原则、主要站点的设备配置和其它组网建议等。     

Analysis on Implementation of Asymmetric Regulation in China Telecommunications Sector

Reference to the international cases and experiences of asymmetric regulation in telecommunications industry,based on China's legal environment and telecommunications competition in the market,give analysis to the role of asymmetric regulation for the development of china telecommunications market,put forward feasible measures to asymmetric regulation in China.     

ERP在电信运营企业的应用和发展

在经历了电信高速发展的时代后,电信企业步入精细化管理的阶段。企业借助ERP系统的实施应用,建立起以价值为核心的管理理念,通过优化从采购到付款、从销售到收款以及工程项目管理和人力资源管理四大基础运营管理流程,使财务管理从事后处理延伸到事前控制和事中的过程管控,降低了服务成本,控制了企业运营管理风险,实现了对企业精细化管理的支撑。本文分析了ERP系统给电信运营企业带来的挑战,并对ERP应用未来的发展趋势进行了详细阐述。同时,认为随着企业价值链管理的延伸,基于SOA技术的新一代ERP将朝着支撑企业价值网管理的方向深化应用、不断演进。     

考虑风电出力及负荷预测误差的安全经济运行模型

充分考虑了风电并网和负荷预测不确定性,引入净负荷的概念,实现对风电和负荷预测误差发生概率的综合考虑。通过场景概率的研究,以包括确定性成本和随机性成本在内的综合调度成本最小化为目标函数,构建安全经济运行模型。算例分析表明,本文构建的随机安全运行计划模型相比于传统的确定性模型能够更有效地降低系统运行成本,结果同时显示,根据系统容量和负荷需求合理配置风电装机容量,是减少弃风量、提高供电可靠性的重要手段。     

基于内容分析法的智力资本报表(InCaS)与中国企业的适配问题研究

作为一种战略管理工具,智力资本报表(InCaS)已经广泛用于欧洲企业.但这种工具是否适用于中国企业?为了探讨这一问题,通过分析InCaS的运行机制和InCaS在欧洲的最佳应用实践,得出其适用的边界条件.在这种边界条件之下,选取204家中国的上市公司,在对其进行行业、规模和生命周期阶段分类的基础之上,运用内容分析法对204家企业的年报进行分析.进而探讨不同行业、规模和生命周期阶段的企业在智力资本披露方面的现状和差异.对比InCaS在欧洲的应用情况探讨InCaS与中国企业的适配问题.     

我国交通运输企业经营效率测度与提升

为测度交通运输业经营效率,并挖掘出有针对性的效率提升措施,采用Super-SBM模型考察了交通运输行业上市公司经营效率.实证结果表明,2009-2013年我国交通运输企业的经营效率呈下降趋势.我国交通运输企业经营效率值差异较大,按经营效率和经营效率增长率分为低效率负增长、低效率高增长、高效率负增长和高效率高增长组.人工成本是影响交通运输企业经营效率的重要原因,因此,交通运输企业须组织变革,降低人工成本,提高经营效率.交通运输业行业对固定资产投入的收益需要一定的周期,因此可以建立全国统一的交通运输系统,提高资本利用率等方式来提高交通运输业整体经营效率.     

Hybrid harmony search algorithm and fuzzy mechanism for solving congestion management problem in an electricity market

A hybrid technique for solving the congestion management problem in an electricity market based on harmony search algorithm (HAS) and Fuzzy mechanism is presented in this article. This algorithm does not require initial value setting for the variables and does not require differential gradients, thus it can consider discontinuous functions as well as continuous functions. The HAS is a recently developed powerful evolutionary algorithm, inspired by the improvisation process of musicians, for solving single/multiobjective optimization problems. In the proposed technique, each musician plays a note for finding a best harmony all together. Transmission pricing and congestion management are the key elements of a competitive electricity market based on direct access. They also focus of much of the debate concerning alternative approaches to the market design and the implementation of a common carrier electricity system. This article focuses on the tradeoffs between simplicity and economic efficiency in meeting the objectives of a transmission pricing and congestion management scheme. The effectiveness of the proposed technique is applied on 30 and 118 bus IEEE standard power system in comparison with CPSO, PSO‐TVAC, and PSO‐TVIW. The numerical results demonstrate that the proposed technique is better and superior than other compared methods. © 2015 Wiley Periodicals, Inc. Complexity 21: 90–98, 2016