On the multi-level embedding of crypto-image reversible data hiding

Crypto-space reversible image steganography has attracted increasing attention, given its ability to embed authentication information without revealing the image content. This paper presents an efficient reversible data hiding scheme for crypto-images: a block predictor is applied to compute prediction errors, then an adaptive block mapping algorithm is utilized to compress them whose amplitudes are within a small threshold, finally, this strategy can be applied in a multi-level manner to achieve a higher embedding capacity. Due to the correlations among adjacent pixels in the block, images can be sufficiently compressed to reserve abundant space for additional data embedding. Different from the prior arts, the compression code of the image is fully encrypted. Experimental results verify that the embedded data and original image can be perfectly recovered, the security is higher compared with the state-of-the-arts, and a significant improvement in the average embedding rate is achieved on two large-scale image datasets.     

基于灰色理论的建筑基坑造价风险预测研究

由于基坑设计理论还不够全面、地表地层的变异以及众多不可预计的复杂问题的出现,施工过程中深基坑工程的造价风险具有多种不确定性。基于多层次灰色理论,针对建筑基坑工程施工阶段的造价风险预测,结合考虑预测指标的关联性,对施工阶段基坑工程造价风险管理评价预测进行详细研究,依托上海某深基坑工程,对其基坑工程施工阶段造价风险进行多层次评价预测,并给出相应风险控制方法,研究成果更好地为建筑基坑工程造价风险预测评价提供理论指导。     

An optimization strategy for nonlinear simulated moving bed chromatography: Multi-level optimization procedure (MLOP)

This paper presents a multi-level optimization strategy to obtain optimum operating conditions (four flow-rates and cycle time) of nonlinear simulated moving bed chromatography. The multi-level optimization procedure (MLOP) approaches systematically from initialization to optimization with two objective functions (productivity and desorbent consumption), employing the standing wave analysis, the true moving bed (TMB) model and the simulated moving bed (SMB) model. The procedure is constructed on a non-worse solution property advancing level by level and its solution does not mean a global optimum. That is, the lower desorbent consumption under the higher productivity is successively obtained on the basis of the SMB model, as the two SMB-model optimizations are repeated by using a standard SQP (successive quadratic programming) algorithm. This approach takes advantage of the TMB model as well as surmounts shortcomings of the TMB model in the general case of any nonlinear adsorption isotherm using the SMB model. The MLOP is evaluated on two nonlinear SMB cases characterized by i) quasi-linear/non-equilibrium and ii) nonlinear/nonequilibrium model. For the two cases, the MLOP yields a satisfactory solution for high productivity and low desorbent consumption within required purities.     

Overview： Electromagnetic Scattering from Ocean Surface

Understanding the sea surface scattering process is very important in the development of models to detect the target above or under the surface. In this paper, both the analytical and the numerical methods applied in sea surface scattering are summarized. Some important problems concerned in this field are discussed. For numerical study, edge effect brings artificial nonrealistic scattering and therefore must be suppressed. Different edge treatment methods are compared in this paper. Scattering of breaking wave surface at very low grazing angle always needs more attentions than other scattering problems. Some numerical results show the existence of the special phenomena at very low grazing angle, for example, the ＂sea spikes＂ and the Doppler splitting.     

基于内容的海量监控视频的多层次检索系统

设计和实现了一种基于内容的海量监控视频的多层次检索系统。该系统首先从监控视频中提取关键帧图像,其次利用行人检测、人脸识别及车辆检测等算法将关键帧中的行人图像、人脸图像和车辆图像等感兴趣目标提取出来,然后提取这些图像的颜色、纹理等特征,利用改进的LIRe(Lucene Image Retrieval)建立分布式的特征库,最终形成了多层次的信息数据库。实验表明,该系统具有较高的检索准确率和较快的检索速率,并支持海量监控视频的检索。     

Alternative Multi-level Continuous Sampling Plans

In this paper we consider certain continuous sampling plans for which the rules concerning partial inspection depend, in part, on the length of time it takes to decide that the process quality is good enough so that 100% inspection may be suspended (e.g. the time required to find i consecutive items free of defects). These plans are shown to be identical to various existing multi-level continuous plans with respect to many mathematical characterizations. In certain cases these plans may be more desirable or easier to administer in practice.     

基于多层次模糊综合评判模型的软件质量评价方法研究

本文介绍了一种基于多层次模糊综合评判模型的软件质量评价方法。针对层次化的软件质量模型,建立因素集、权重集和评语集。对经测试后的软件从多个角色进行打分,然后应用多层次模糊综合评判法对软件质量特性给出科学的评价结果。     

多层次结构生成对抗网络的文本生成图像方法

近年来,生成对抗网络（GAN）在从文本描述到图像的生成中已经取得了显著成功,但仍然存在图像边缘模糊、局部纹理不清晰以及生成样本方差小等问题。针对上述不足,在叠加生成对抗网络模型（StackGAN++）基础上,提出了一种多层次结构生成对抗网络（MLGAN）模型,该网络模型由多个生成器和判别器以层次结构并列组成。首先,引入层次结构编码方法和词向量约束来改变网络中各层次生成器的条件向量,使图像的边缘细节和局部纹理更加清晰生动;然后,联合训练生成器和判别器,借助多个层次的生成图像分布共同逼近真实图像分布,使生成样本方差变大,增加生成样本的多样性;最后,从不同层次的生成器生成对应文本的不同尺度图像。实验结果表明,在CUB和Oxford-102数据集上MLGAN模型的Inception score分别达到了4.22和3.88,与StackGAN++相比,分别提高了4.45%和3.74%。MLGAN模型在解决生成图像的边缘模糊和局部纹理不清晰方面有了一定提升,其生成的图像更接近真实图像。     

应用型本科计算机基础课程改革方法探索

随着信息技术的发展和应用的普及以及中小学信息技术课程广泛的开设,使得高等学校的计算机基础教学面临巨大的压力。为了提高大学计算机基础教学质量,结合三本学生特点,从理论教学、实验教学和考试等方面进行分析讨论,有针对性地提出改革建议。经过实验教学,收效显著。     

应用型本科计算机基础课程改革方法探索

随着信息技术的发展和应用的普及以及中小学信息技术课程广泛的开设．使得高等学校的计算机基础教学面临巨大的压力。为了提高大学计算机基础教学质量,结合三本学生特点,从理论教学、实验教学和考试等方面进行分析讨论．有针对性地提出改革建议。经过实验教学,收效显著。