Efficient identity-based online/offline encryption and signcryption with short ciphertext

The technique of online/offline is regarded as a promising approach to speed up the computation of encryption, because the most part of computation, such as pairing over points on elliptic curve and exponentiation in groups, can be pre-computed in the offline phase without knowing the message to be encrypted and/or recipient’s identity. The online phase only requires light computation, such as modular multiplication. In this paper, we propose two novel identity-based online/offline schemes: a full secure identity-based online/offline encryption scheme and an identity-based online/offline signcryption scheme. Compared to the other schemes in the literature, our schemes achieve the shortest ciphertext size in both offline and online phases and demonstrate the best performance in offline computation. Our schemes are applicable to devices with limited computation power. They are proven secure in the random oracle model.     

基于工作过程的计算机应用基础教材的开发

分析了计算机应用基础课程传统教材的局限性,提出了基于工作过程来开发新的计算机应用基础教材的基本思想.从实践出发,对计算机应用基础教材项目分析确定、任务过程设计、教材设计等环节进行了论述,以体现该教材的鲜明特色.新开发的教材应用后,学生的学习水平与技能得到了极大的提升,从而为基于工作过程的教材开发提供了一种基本思路.     

On the spectrum-determined growth condition of a vibration cablewith a tip mass

We show that the spectrum-determined growth condition holds for the closed-loop system of a vibration cable with a tip mass and linear boundary feedback control. The optimal decay rate of the energy for a case left unsolved previously is determined, and the asymptotic expansion of the associated semigroup is obtained. As a consequence of the approach, we show, in a different point of view, the lack of uniform exponential stability of the system with only boundary velocity feedback control     

Blind Source Extraction for Noisy Mixtures by Combining Gaussian Moments and Generalized Autocorrelations

In the blind source extraction problem, the concept of generalized autocorrelations has been successfully used when the desired signal has special temporal structures. However, their applications are only limited to noise-free mixtures, which is not realistic. Therefore, this paper addresses the extraction of the noisy model based on these temporal characteristics of sources. An objective function, which combines Gaussian moments and generalized autocorrelations, is proposed. Maximizing this objective function, we present a blind source extraction algorithm for noisy mixtures. Simulations on synthesized signals, images, artificial electrocardiogram (ECG) data and the real-world ECG data show the better performance of the proposed algorithm. Moreover, comparisons with the existing algorithms further indicate its validity and also show its robustness to the estimated error of time delay.     

对重催I/A'S系统三冲量控制回路的探讨

本文主要对广州石油化工总厂重油催化裂化装置的复杂回路——三冲量控制在I/A'S系统的实现进行探讨和实施。     

高效多功能矿化剂脱硫技术简介

技术背景。本技术采用的高效多功能矿化剂,是结合中国的国情、利用价格低廉的矿化剂与煤入炉参加燃烧,在保证锅炉经济负荷的安全、稳定运行的前提下使高、低硫煤的脱硫率均达90%以上,另外也能使所排灰、渣的28d强度达12.5MPa以上.     

生产规模的确定与市场需求

根据我国从传统计划经济体制向社会主义市场经济过渡的客观现实，论述化工矿山建设项目可行性研究中生产规模的确定必须考虑市场需求及论证市场需求中必须注意的几个原则问题。     

二氧化碳的充装系数

从气体Ｐ－Ｖ－Ｔ性质论证了钢瓶的充装系数对于压力的影响。从而得出：严格控制液体二氧化碳的充装系数是确保二氧化碳钢瓶充装、贮存、运输及使用安全的关键。     

南京河西地区软土场地地震动参数研究

根据南京河西地区所处的地震地质环境、地震活动环境及基岩地震动衰减规律 ,对所选取的某个典型工程软土场地 ,进行了地震危险性分析 ,给出了基岩地震动参数 ;对场地的地震动效应进行了研究 ,给出了 5 0a及10 0a超越概率水平为 6 3%、10 %和 3%的场地地震动参数。该成果对河西地区的工程抗震设计有一定的参考价值     

Optimization of Industrial Structure Considering the Uncertainty of Water Resources

This paper developed a stochastic linear fractional programming model for industry optimization allocation base on the uncertainty of water resources incorporating chance constrained programming and fractional programming. In this paper, the stochastic linear fractional programming is used in the real word. The development SLFP has the following advantages: (1) The model can compare the two aspects of the targets; (2) The model can reflect the system efficiency intuitively; (3) The model can deal with uncertain issues with probability distribution; (4) The model can give different optimal plans under different risk conditions. The model has a significant value for the industry optimization allocation under uncertainty in local and areas to achieve the maximum economic benefits and the full use of the water resources.