Data hiding in AMBTC images using quantization level modification and perturbation technique

Multimedia Tools and Applications - A novel data hiding method for Absolute Moment Block Truncation Coding (AMBTC) compressed image based on quantization level modification is proposed. Blocks of...     

Performance Analysis of The Auxiliary‐Model‐Based Multi‐Innovation Stochastic Newton Recursive Algorithm for Dual‐Rate Systems

The stochastic Newton recursive algorithm is studied for dual‐rate system identification. Owing to a lack of intersample measurements, the single‐rate model cannot be identified directly. The auxiliary model technique is adopted to provide the intersample estimations to guarantee the recursion process continues. Intersample estimations have a great influence on the convergence of parameter estimations, and one‐step innovation may lead to a large fluctuation or even divergence during the recursion. In the meantime, the sample covariance matrix may appear singular. The recursive process would cease for these reasons. In order to guarantee the recursion process and to also improve estimation accuracy, multi‐innovation is utilized for correcting the parameter estimations. Combining the auxiliary model and multi‐innovation theory, the auxiliary‐model‐based multi‐innovation stochastic Newton recursive algorithm is proposed for time‐invariant dual‐rate systems. The consistency of this algorithm is analyzed in detail. The final simulations confirm the effectiveness of the proposed algorithm.     

Ordering states with Tsallis relative $$\alpha $$-entropies of coherence

In this paper, we study the ordering states with Tsallis relative \(\alpha \)-entropies of coherence and \(l_{1}\) norm of coherence for single-qubit states. Firstly, we show that any Tsallis relative \(\alpha \)-entropies of coherence and \(l_{1}\) norm of coherence give the same ordering for single-qubit pure states. However, they do not generate the same ordering for some high-dimensional states, even though these states are pure. Secondly, we also consider three special Tsallis relative \(\alpha \)-entropies of coherence for \(\alpha =2, 1, \frac{1}{2}\) and show these three measures and \(l_{1}\) norm of coherence will not generate the same ordering for some single-qubit mixed states. Nevertheless, they may generate the same ordering if we only consider a special subset of single-qubit mixed states. Furthermore, we find that any two of these three special measures generate different ordering for single-qubit mixed states. Finally, we discuss the degree of violation of between \(l_{1}\) norm of coherence and Tsallis relative \(\alpha \)-entropies of coherence. In a sense, this degree can measure the difference between these two coherence measures in ordering states.     

Indistinguishability of pure orthogonal product states by LOCC

We construct two sets of incomplete and extendible quantum pure orthogonal product states (POPS) in general bipartite high-dimensional quantum systems, which are all indistinguishable by local operations and classical communication. The first set of POPS is composed of two parts which are \(\mathcal {C}^m\otimes \mathcal {C}^{n_1}\) with \(5\le m\le n_1\) and \(\mathcal {C}^m\otimes \mathcal {C}^{n_2}\) with \(5\le m \le n_2\), where \(n_1\) is odd and \(n_2\) is even. The second one is in \(\mathcal {C}^m\otimes \mathcal {C}^n\) \((m, n\ge 4)\). Some subsets of these two sets can be extended into complete sets that local indistinguishability can be decided by noncommutativity which quantifies the quantumness of a quantum ensemble. Our study shows quantum nonlocality without entanglement.     

Data-driven predictive control for continuous-time linear parameter varying systems with application to wind turbine

A new data-driven predictive control method based on subspace identification for continuous-time linear parameter varying (LPV) systems is presented in this paper. It is developed by reformulating the continuous-time LPV system which utilizes Laguerre filters to obtain the subspace prediction of output. The subspace predictors are derived by QR decomposition of input-output and Laguerre matrices obtained by input-output data. The predictors are then applied to design the model predictive controller. It is shown that the integrated action is incorporated in the control effect to eliminate the steady-state offset. We control the continuous-time LPV systems to obtain the attractive performance with the proposed data-driven predictive control method. The proposed controller is applied to a wind turbine to verify its effectiveness and feasibility.     

Simultaneous assay of platelet adhesion at multiple shear rates within a single microfluidic channel

Cardiovascular diseases are currently the major causes of mortality in the world, especially in developed nations. As a predominant one, thrombosis is the platelet aggregation induced by a high shear rate. Platelet aggregation assay can clarify the occurrence mechanism of thrombosis, as well as be used as an important tool in the clinical diagnosis, personalized treatment, and screening of anticoagulants. Thus, relevant studies attracted considerable attention. As an important step in platelet aggregation, platelet adhesion and its detection also attract intensive concern. Thus, some analytical methods have been developed for platelet adhesion assay, and the impact of shear rate is one of the focuses. Compared with other devices, biosensors can give a more accurate result within a shorter time. Furthermore, some biosensors can achieve real-time analysis. However, only one or several shear rates can be tested at the same time, which may decrease the analytical efficiency. Meanwhile, in most cases, only the average platelet adhesion effect within a reactor is detected, and the impact of the distribution of shear rates is improperly neglected. In this study, a microfluidic device with a single channel is designed and fabricated for platelet adhesion assay. When the platelet-rich plasma flows through the collagen-modified sensing surface of the channel bottom, the interaction between platelets and collagen molecules on the entire surface can be simultaneously monitored by using a surface plasmon resonance imaging (SPRi) system. A gradient of the shear rate (0–546 s^-1) could be formed within the channel by choosing a suitable depth-to-width ratio (1:5), so platelet adhesion at multiple shear rates could be monitored simultaneously. This method enables the measurement of the adhesion process of unlabeled platelets on the entire sensing surface, in vitro, at multiple shear rates. Such a system can obtain more accurate platelet adhesion result at a given shear rate than traditional methods. Furthermore, in an individual operation, platelet adhesion can be repeatedly tested at multiple points with an equal shear rate, so a much higher analytical efficiency can also be achieved.     

成像光谱技术的古画隐藏信息提取

目的 古画隐藏信息是包含在画作中的一种微弱信息,对于文物鉴定与修复具有非常重要的意义,如何快速无损准确提取古画中微弱的隐藏信息是目前研究和应用的一大技术难题,本文利用高光谱成像技术快速无损提取古画隐藏信息。方法 对古画进行高光谱扫描成像,得到短波红外波段（1 000~2 500 nm）的高光谱立方体数据,联合多种光谱匹配技术分析古画中人物头冠颜料种类;利用主成分分析技术,提取古画头冠周围涂抹痕迹。结果 通过多种光谱匹配算法对颜料进行分析,确定了颜料种类,并对匹配算法进行了对比,结果表明在颜料混合的情况下,光谱匹配算法仍能够有效的识别出混合颜料的端元种类,光谱信息散度与光谱角的匹配算法SID_SA匹配精度可以达到0.096,相比其他匹配算法,效果最好;利用主成分分析技术分层剥离主要背景信息后,头冠周围位于画作底层的涂抹信息得到了加强,可以有效地区分背景颜料信息与涂抹信息,提取隐藏信息。结论 高光谱分析技术对古画隐藏信息的提取有很好地识别效果,能够准确提取绘画颜料种类,发现绘画过程中的涂抹等痕迹,特别适用于混合颜料的种类识别与画作底层信息提取,发掘画作隐藏信息,为文物保护修复与鉴定提供支持。     

结合背景信息的自适应加权压缩跟踪算法

目的 为了提高目标跟踪的准确度,提出结合背景信息的自适应加权压缩跟踪算法。方法 针对目标边缘背景信息的干扰问题,提出对目标框架分块提取特征,根据区域分配权值,弱化特征提取过程中背景信息的干扰;利用正负样本特征概率分布的Bhattacharyya距离,自适应地选取区分度较大的特征进行分类器训练,提高分类器的鲁棒性;针对目标遮挡导致分类器分类不准确问题,提出设置目标遮挡检测机制,结合目标和局部背景信息对目标实现遮挡环境下的跟踪。结果 与目前较流行的5种算法在6个具有挑战性的序列中进行比较,本文提出的算法平均跟踪率达到90%,平均每帧耗时0.088 6 s。结论 本文算法在背景干扰,光线变换,目标旋转、形变、遮挡和复杂背景环境下的跟踪具有较高鲁棒性。     

基于工作任务的“4-5-6”情景化项目驱动教学模式的设计与实践

目前我国高职教育正处于改革的重要阶段,创新课程的教学模式,是高职教育的要求,也是课程建设与职业岗位有效接轨的要求。基于工作任务的"4-5-6"情景化项目驱动教学模式,是以职业能力培养为目标,围绕"岗位工作任务"这一主题,以"4"个阶段来划分能力培养过程,以"5"化教学作为教学设计,以"6"个步骤作为教学实施的教学法。通过在Linux操作系统课程教学中的改革实践表明,该教学模式培养了学生的自我学习能力和创造力,提高了学生的职业能力。     

基于非均匀系数的水库移民收入恢复评价

水利水电工程征地移民搬迁后的生产生活恢复,不仅是实现移民规划目标的重点内容,也是保持安置区社会稳定的重要因素。水库移民搬迁后的收入恢复水平是评价移民工程搬迁安置效果的一个重要指标。移民收入的评价,除收入水平之外,还涉及到贫富差距等共同富裕问题。针对南水北调中线丹江口库区试点移民的收入恢复,在抽样与跟踪调查获取数据的基础上,分析了移民收入的整体恢复水平,并利用非均匀系数对收入的差距进行了研究。