构件化信息系统开发方法研究

首先由传统的信息系统开发方式的缺陷引出了软件构件化概念,然后对构件的属性、构件开发标准规范、信息系统构件化开发方法进行了介绍,最后给出了一种信息系统构件化开发框架探讨信息系统的构件化开发方法。     

抗DPA攻击的AES算法研究与实现

Mask技术破坏了加密过程中的功率消耗与加密的中间变量之间的相关性,提高了加密器件的抗DPA攻击能力。简单地对算法流程添加Mask容易受到高阶DPA攻击的。提出了一种对AES加密过程的各个操作采用多组随机Mask进行屏蔽的方法,并在8bit的MCU上实现了该抗攻击的AES算法。实验结果表明,添加Mask后的抗DPA攻击AES算法能够有效地抵御DPA和高阶DPA的攻击。     

一种基于H.264/AVC的快速帧间模式选择算法

为了解决帧间模式选择计算量大的问题,提出了一种快速算法。算法利用编码模式的利用率信息和时空相关性来预先判定当前宏块最可能的编码模式,从而大大加快了模式选择的过程。算法缩小了候选模式的范围,并采用阈值来提高预测准确度。仿真结果表明,该算法在编码质量只有轻微下降的情况下明显降低了计算复杂度。     

我国爆炸品分级标准的研究制订及特点分析

文章阐述了研究制订“爆炸品分级程序”等两项国家标准的意义,过程和标准的主要特点,并提出加快实施标准的若干建议。     

融合序列分解与Prophet模型的时序预测

传统时序预测方法其预测过程无法在相同数据集上推出共享模式, 而机器学习方法无法较好地处理非线性和大规模数据集, 并且需要手动设计特征工程. 深度学习方法弥补了传统预测方法需要高计算高人力的弊端, 用自动学习特征工程代替了手动设计特征工程. 但仅使用深度学习的预测方法所作结构假设较少, 通常需要较高的计算资源以及大量的数据来学习得到准确的模型. 针对上述问题, 本文提出通过采用融合t检验的EMD经验模态将序列分为高频分量和低频分量, 对高频分量使用传统STL序列分解方法进一步对数据做处理, 对高频、低频分量分别进行Prophet预测. 实验结果表明, 相较于传统的LSTM以及Prophet预测模型, 经过STL序列分解后的周期数据能够提升模型的整体预测精确度而融合EMD经验模态的Prophet模型则大大提升了训练效率.     

The use of mindmapping software for patent search and management

Modern information technologies and in particular the internet have revolutionized the patent information professionals' work in terms of speed of access and information comprehensiveness from both company internal and external digital sources. Here, I describe how the digital mindmapping technique can be used to complement existing intellectual property management software solutions to meet the challenge of optimizing and managing patent search workflows as well as to rapidly organise and access highly dynamic, heterogeneous and scattered patent information sources. Both eye catching and highly memorable and at the same time self-explanatory mindmapping examples are presented. These were designed to include basic and advanced level digital mindmapping features tailored to significantly speed up and maintain a high work quality level of patent search professionals. A special emphasis is put on the great benefit of organising and accessing the plethora of internet-based worldwide online patent registers through mindmapping, both in terms of managing the constantly changing deep links to the actual search options for e.g., legal status information, and keeping track of the offered level of content.     

On the Modelling and Monitoring of General Inflated Poisson Processes

In this work, we propose and study general inflated probability distributions that can be used for modelling and monitoring unusual count data. The considered models extend the well‐known zero‐inflated Poisson distribution because they allow the excess of values, other than zero. Four simple upper‐sided control schemes are considered for the monitoring of count data based on the proposed general inflated Poisson distributions, and their performance is evaluated under various out‐of‐control situations. The usefulness of the considered models and techniques is illustrated via two real‐data examples, while practical guidelines are provided as well. Copyright © 2015 John Wiley & Sons, Ltd.     

A short note on the effect of sample size on the estimation error in Cp

Process capability indices such as C_p are used extensively in manufacturing industries to assess processes in order to decide about purchasing. In practice, the parameter for calculating C_p is rarely known and is frequently replaced with estimates from an in-control reference sample. This article explores the optimal sample size required to achieve a desired error of estimation using absolute percentage error of different C_p estimates. Moreover, some practical tools are created to allow practitioners to find sample size in different situations.     

用于放疗量传的照射量、空气比释动能和水吸收剂量量值体系比较

用照射量和空气比释动能校准的电离室进行剂量测量时,依据IAEA TRS 277报告,需要经历四级量值转换过程,不确定度也较大,但目前仍是国内使用的量值体系.我国正在建立60Co γ射线以及高能光子下的水吸收剂量基准装置并进行国际比对,之后将拥有水吸收剂量的量值复现的能力.在60Co γ射线参考辐射场和加速器高能X射线辐射场下,使用NE2571和NE2570/1A、PTW TW30013和PTW UNIDOS两套电离室剂量仪,分别按照277和398报告的要求计算并比较2种方法计算出的水吸收剂量值,从而验证了277报告和398报告的一致性.