基于数字水印的数据备份模型设计

针对传统备份策略的缺陷,提出基于数字水印的数据备份恢复模型。该模型可以实现跨平台的数据备份恢复,在备份过程中以数据块为单位,并利用数据块的hash值代替文件属性来判断文件是否被更改,有效节省了备份数据的传输时间和存储空间。     

数字资源的长期保存

为了研究数字资源长期保存的相关问题,本文简要概述了数字资源的不安全性与脆弱性,分析了数字资源长期保存的难度,介绍了数字资源的保存内容与保存介质,探讨了数字资源长期保存的技术策略及安全存储的技术方法,强调了灾难备份的重要性。     

Geoframe地震工区备份技术研究与应用标准

Geoframe地震工区管理中的数据备份方式大致分为两种,其一是应用软件工区备份,其二是数据库备份。本文重点对几种备份方式进行了相互比较、差异化分析,在保证数据存储安全、提高数据备份效率等方面提供了较高的参考意义。     

安全漫画

日常工作中,人们为了防止电脑出现故障、人为误删等意外情况造成信息数据丢失,往往会进行及时备份,保证工作不受影响。其实,“备份思维”不仅在电脑信息存储中需要,做好安全生产工作同样也需要“备份”,以更多的方案、方法、举措,更好地应对安全生产的复杂局面。     

HP DP助力中国石油 建立可持续性IT战略

6月10日，中国惠普宣布：惠普系列存储产品及前沿性数据保护解决方案在中国石油天然气集团公司成功上线，为其“可持续性IT”战略贡献了一份力量。采用HP Storage Works EVA8000、HP Storage Works VLS12000虚拟磁带库以及HP Data Protector软件（HPDP）组成的一套整合的存储备份架构，     

ORACLE数据库备份方法浅析

简述了Oracle数据库的备份原理 ,讨论了逻辑备份、脱机备份及联机备份 3种不同备份方案的特点及实施方法 ;同时结合我们公司几套管理信息系统 ,给出了一种自动逻辑备份方法     

渤海海域海底管道应急抢修备件存储策略

渤海海域海底管道具有数量多、分布密集、风险高的特点。为保证海底管道应急抢修的顺利实施,很有必要进行一定规格数量的关键抢修备件的存储。介绍了渤海海域海底管道应急抢修备件存储策略,包括备件的选型依据、备件存储的类型和数量以及备件存储的原则。     

Panasonic 1.5GB可擦写光盘驱动器

LF—7300E外置式光盘驱动器和LF—7304内置式光盘驱动器是Panasonic最新相变光盘驱动器系列产品。这些产品利用先进的相变直接重写技术,可高速读写大量计算机数据,并可通过SCSI—2接口同各种计算机平台相连接,是理想的海量数据存储及备份的设备。     

手机二维码在设备管理中的应用

智能手机已然成为当下人类生活中的必需品之一。手机应用二维码也是现在各种手机应用中最为频繁的一种工具和手段。把二维码应用到企业设备管理之中也是一种趋势。利用二维码的信息存储功能将企业使用的设备信息进行存储,可以实现设备信息档案的无纸化;可以为设备调试人员减轻工作负担,如调试设备时背负厚重的设备资料,只需把重要的存入二维码就能完成。有利于信息交流,资料备份也变得简单、快捷。     

基于Hadoop的土壤化学特征数据存储设云平台设计

针对当前土壤化学特征数据海量增长以及共享程度低的问题,结合hadoop框架,提出一种基于hadoop的土壤数据海量存储平台。为实现该平台,采用HBase+HDFS的方式搭建云存储平台;针对服务器负载均衡问题,提出分区策略和动态负载均衡策略;引入并行化聚类,实现土壤化学特征数据的分类挖掘;最后存储平台进行验证,结果表明平台在性能和聚类结果方案,都表现出优异性能。     

企业信息系统数据安全方案分析

从保护数据和主机系统的角度,阐述了企业信息系统数据的安全保护措施。同时结合抚顺石化公司的状况,介绍了数据备份系统、双机集群系统、数据集中存储系统在中国石油抚顺石化公司的实施应用。     

Analysis of Technology Potential of a Metal-based Latent Heat Storage for Backup Process Steam Supply

An analysis of technology potential of a metal-based high temperature latent heat storage for the application of process steam backup for industrial parks in Germany was carried out. To investigate the integration of the storage into a process steam network, dynamic process simulations were performed. Furthermore, the analysis includes ecological and economical calculations for various fuel types of industrial power plants, plant sizes and auxiliary fuels. Basis of all calculations is an extensive research conducted on the industrial parks in Germany with a dedicated power plant and process steam utilization.     

Resistance switching in electrodeposited polycrystalline Fe3O4 films

Resistance random access memory (RRAM) is an emerging nonvolatile memory that offers advantages of scalability, fast switching, and low voltages. Magnetite, Fe₃O₄, has been shown to exhibit resistance switching in nanoscale architectures such as superlattices. Here, we show that electrodeposited polycrystalline films of Fe₃O₄ exhibit multistate resistance switching. Experiments suggest that the insulator-to-metal transition may be facilitated by the presence of a thin nano-crystalline layer which is critical for resistance switching to occur at lower bias. We also show that the switching behavior can be tuned through the applied deposition potential. The multiple resistance states accessible in these simple architectures open up new possibilities for multi-bit data storage and retrieval.     

High-throughput data mined prediction of design and preparation of flexible carbon-based conductive materials in energy storage

Carbon-based material have been attracted significant attention and widely studied for its excellent electrical conductivity. The prediction of conductivity of carbon-based materials is indispensable to designing and fabricating flexible carbon conductive materials in smart wearable before experimentation. To achieve this objective, ensemble data mining is utilized to automatically search for relationship between factors (filler type, output conductivity, filling fraction, drying temperature, molding temperature, sample thickness, ultrasonic treatment time, stirring time, etc.) and the target (composite conductivity), providing exceptional insight into the design and preparation ability of flexible carbon conductive materials. Specifically, we established an uni-component carbon filler database and proposed an optimized machine learning model based on Light Gradient Boosting Machine. The importance ranking of the characteristic variables in the fabrication of flexible carbon composites has been demonstrated in terms of the constructed uni-component carbon filler database. We trained our developed Light Gradient Boosting Machine model on selected data and attempted to predict the optimal design strategy for flexible carbon-based conductive materials in energy storage in smart wearable. The appealing results revealed effectiveness and dependability of Light Gradient Boosting Machine. The strategy established in this work presents an effective approach for accelerating the research and development of flexible carbon-based conductive materials in energy storage in smart wearable.     

Synergistic engineering of doping and vacancy in K0.5Na0.5NbO3-based photochromic ceramics to boost luminescent readout ability

Photon-mode ultracapacity storage media made of inorganic photochromic luminescent materials are highly anticipated, and widely explored in the development of new optical data storage (ODS) technologies. Despite some recent breakthroughs, the optical storage capacity of defect-rich photochromics is still limited to low luminescent readout abilities. Herein, oxygen vacancy rich and bismuth doped K_0.5Na_0.5NbO₃:Eu³⁺ ceramics were designed, and synergistically boost the luminescence intensity, photochromic efficiency, and luminescent modulation properties, then effectively improving the luminescence readout abilities. The luminescence modulation ratio reaches up to 97.5% from 68.4% with the increase of oxygen vacancy concentrations due to hetero-valent bismuth doping, accompanied by high photochromic efficiency (35.7% from 21.9%) and excellent reproducibility. These results demonstrate that the synergistic engineering of oxygen vacancy and doping is a promising strategy for obtaining high-performance photochromic materials.     

有机功能材料信息存储研究最新进展

信息技术的发展要求存储器件必须具备超高存储密度、超快的存取速率及长的存储寿命。目前,广泛应用的磁存储和光存储介质正在接近其物理极限。科学家们多年前就开始积极探索新的存储理论、技术和材料,以期突破数据存储的极限。简要地介绍了近来有机功能材料信息存储研究的进展。     

Impact of rewetting and drying of rough rice on predicted moisture content profiles during in-bin drying and storage

Accurate prediction of moisture content (MC) is vital for effective control of on-farm, in-bin drying and storage of rough rice, especially for systems using recently introduced technology to automate fan run time. The study used simulations, laboratory, and field experiments to investigate the extent to which rewetting and drying, during in-bin drying and storage, affect accuracy of predicted MC—a critical parameter for automated fan control. Vapor sorption analysis (VSA) was used to generate MC prediction models for rough rice. Simulations of in-bin drying and storage, using in-field weather data, were performed while segregating effects resulting from rewetting and drying of the rough rice and the type of fan control strategy used. Predicted MC profiles of rough rice and drying durations were compared with those resulting from using standard constants in the literature for modeling. The root mean square error associated with predicting the MC by model constants developed using the VSA was 0.54% MC and 1.32% MC dry basis (d.b.), for desorption and adsorption, respectively. Deviation in MC logged by in-bin built, field sensors and that simulated by taking into account the influence of rewetting and drying were generally within 1.5% point difference. Therefore, rewetting and drying did not affect drying duration. However, drying duration was significantly influenced by fan control strategy (p?相似文献   

基于TRNSYS的冷热电联供系统建模与蓄能策略分析

冷热电联供是天然气高效利用的重要方面。以上海某医院为例,基于Trnsys与Matlab软件建立了天然气冷热电联产系统的动态仿真与控制模型。对传统蓄能策略、"主动蓄能"策略和新型蓄能策略进行了描述。利用该模型计算了系统在不同蓄能容量与控制策略下的效率、一次能源节约率和投资回收期,并进行了对比分析。结果表明,"主动蓄能"策略下联供系统对建筑供能的贡献率低,性能差于其他蓄能策略;新型蓄能策略下的系统运行时间能得到很大的延长。它能有效发挥蓄能设备的作用,使联供系统为建筑提供更多的高效能量。电力不能上网的条件下,联供系统的节能潜力受到很大的限制。     

一种评估库存发射药安全贮存寿命的方法

为了科学评估库存发射药的安全贮存寿命,通过对库存弹药(发射药)长期贮存试验研究,得到了在库存环境下贮存30多年部分发射药的DPA含量试验数据,建立了相应的数据处理数学模型和安全贮存寿命预测方法。依据试验结果和该数据处理方法,计算出该发射药在置信水平为90％的条件下,安全贮存寿命不低于56年。经试验验证,该评估结果与实际情况基本相符,表明提出的估算库存发射药安全寿命的方法是可以接受的。     

Porous Adsorbents for Vehicular Natural Gas Storage: A Review

Methane adsorption data (both experimental and simulated) under conditions of direct relevance for vehicular natural gas storage, i.e., at 500 psig and ambient temperature, has been compiled from the literature for various microporous adsorbents and discussed in this work. Characterization of microporosity has been briefly reviewed, followed with a discussion on the porous structure of natural gas adsorbents. A common trend of gravimetric methane adsorption capacity scaling with surface area among the diverse microporous adsorbents (viz., coals, carbons, zeolites, silica gel and an MCM-41 type material) is demonstrated. Further, it is substantiated and emphasized that increasing the adsorbent surface area on a volumetric basis is very important for vehicular natural gas storage where the fuel storage volume is a constraint. The effect of other adsorbent properties such as heat of adsorption and heat capacity on the natural gas storage capacity is also discussed.