农网工程管理问题及改进举措分析

随着我国经济的发展,加强农网工程建设已经成为了提升农村用电水平的重要保障。目前,农网工程在推动三农发展方面发挥着非常重要的作用,这对提升城镇化建设和农村经济发展水平有重要的意义。然而,在农网工程实施的过程中,其管理方面存在许多问题。基于此,全面分析了农网工程管理方面存在的问题,并就存在的问题提出了相应的改进方法。     

电力抄表催费计件绩效管理探析

介绍了岗位岗级绩效管理抄表催费中存在的问题,提出了计件绩效管理模式及其实践操作方式,并分析了电力抄表催费计件绩效管理的优势,以供有关单位参考。     

Comparing lazy and eager learning models for water level forecasting in river-reservoir basins of inundation regions

This study developed a methodology for formulating water level models to forecast river stages during typhoons, comparing various models by using lazy and eager learning approaches. Two lazy learning models were introduced: the locally weighted regression (LWR) and the k-nearest neighbor (kNN) models. Their efficacy was compared with that of three eager learning models, namely, the artificial neural network (ANN), support vector regression (SVR), and linear regression (REG). These models were employed to analyze the Tanshui River Basin in Taiwan. The data collected comprised 50 historical typhoon events and relevant hourly hydrological data from the river basin during 1996–2007. The forecasting horizon ranged from 1 h to 4 h. Various statistical measures were calculated, including the correlation coefficient, mean absolute error, and root mean square error. Moreover, significance, computation efficiency, and Akaike information criterion were evaluated. The results indicated that (a) among the eager learning models, ANN and SVR yielded more favorable results than REG (based on statistical analyses and significance tests). Although ANN, SVR, and REG were categorized as eager learning models, their predictive abilities varied according to various global learning optimizers. (b) Regarding the lazy learning models, LWR performed more favorably than kNN. Although LWR and kNN were categorized as lazy learning models, their predictive abilities were based on diverse local learning optimizers. (c) A comparison of eager and lazy learning models indicated that neither were effective or yielded favorable results, because the distinct approximators of models that can be categorized as either eager or lazy learning models caused the performance to be dependent on individual models.     

基于单片机和LabVIEW的远程矿井水位监控系统设计

针对现有矿井水位监控系统存在结构复杂和不能远程监控的问题,设计了基于单片机和LabVIEW的远程矿井水位监控系统,详细介绍了系统的硬件组成、上位机通信和下位机软件设计。该系统在现场利用单片机对水位进行监控并控制水泵,采用LabVIEW对水位进行监视并将水位信息存储在数据库中,实现了对矿井水位的远程监控。     

对中小商业银行等级保护咨询服务探讨与研究

本文力求全面剖析中小商业银行的等级保护咨询服务项目,帮助将要开展信息安全等级保护的咨询方和银行信息安全管理者明确等级保护的咨询服务所涵盖的内容及所能达到的目标。     

燃气联合循环机组汽包水位控制系统的特点

燃气联合循环机组的汽水系统复杂性导致了汽包水位控制成为整个机组控制模拟量控制的难点。文章通过对燃气联合循环机组汽包水位控制的分析,并结合机组运行过程中出现的问题,讨论了该类型机组汽包水位控制的特点,同时提出了有效的解决办法并取得了良好的控制效果。     

基于连通管原理的桥梁挠度自动测量方法

基于连通管原理,采用RS485通讯技术等手段,给出了一种桥梁挠度自动测量的方法。该方法具有实时、在线、远程、精确等特点,且不受人为因素和环境因素的影响。通过重庆石板坡长江大桥应用该方法测量挠度的案例证明,其测量结果的相对误差小于5％,表明该系统稳定可靠。这种测量方法能用于更多桥梁挠度的自动监测。     

Reducing cache and TLB power by exploiting memory region and privilege level semantics

The L1 cache in today’s high-performance processors accesses all ways of a selected set in parallel. This constitutes a major source of energy inefficiency: at most one of the N fetched blocks can be useful in an N-way set-associative cache. The other N-1 cachelines will all be tag mismatches and subsequently discarded.We propose to eliminate unnecessary associative fetches by exploiting certain software semantics in cache design, thus reducing dynamic power consumption. Specifically, we use memory region information to eliminate unnecessary fetches in the data cache, and ring level information to optimize fetches in the instruction cache. We present a design that is performance-neutral, transparent to applications, and incurs a space overhead of mere 0.41% of the L1 cache.We show significantly reduced cache lookups with benchmarks including SPEC CPU, SPECjbb, SPECjAppServer, PARSEC, and Apache. For example, for SPEC CPU 2006, the proposed mechanism helps to reduce cache block fetches from the data and instruction caches by an average of 29% and 53% respectively, resulting in power savings of 17% and 35% in the caches, compared to the aggressively clock-gated baselines.     

Stochastic computer network with multiple terminals under total accuracy rate

From the viewpoint of service level agreements,data transmission accuracy is one of the critical performances for assessing Internet by service providers and enterprise customers.The stochastic computer network(SCN),in which each edge has several capacities and the accuracy rate,has multiple terminals.This paper is aimed mainly to evaluate the system reliability for an SCN,where system reliability is the probability that the demand can be fulfilled under the total accuracy rate.A minimal capacity vector allows the system to transmit demand to each terminal under the total accuracy rate.This study proposes an efficient algorithm to find all minimal capacity vectors by minimal paths.The system reliability can then be computed in terms of all minimal capacity vectors by the recursive sum of disjoint products(RSDP) algorithm.     

基于用“动态汛限水位”来利用雨洪资源

雨洪资源的依法利用,早已在国外广泛展开。国内的雨洪资源利用,还面临着重新计算汛限水位高度,然后再依法予以重新确认的难题。唯有如此,才能缓解各级行政部门为了多产粮而＂压＂水库管理部门不顾风险的超汛限蓄水。因此,现阶段用＂动态汛限水位＂来化解矛盾,使水库管理部门从被迫接受潜规则的超汛限蓄水,转变为可以摆上台面的依法科学合理...