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The market has seen an emergence of special viewing angle needs with the development of display devices. For instance, some consumers require displays with adjustable viewing angles to accommodate different scenarios. This paper proposes an optical micro‐nano film with an adjustable viewing angle effect. The rotation angle of liquid crystal molecules is controlled through the reasonable design of the liquid crystal layer's thickness and the voltage magnitude to achieve the control of the viewing angle. The display is best viewed at the center of the display when no voltage is applied. However, the quality of the wide viewing angle display is significantly better after voltage is applied. The simulation results indicate that the brightness in the viewing angle range of ‐27°to ‐23°and 37°to 41°is significantly improved after applying a voltage of 15V, suggesting a broad application prospect for this technology. In addition, the use of this technology reduces the difficulty of process preparation and makes it more universally applicable.

The vitamin B-6 requirement of young women consuming a constant high-protein diet (1.55 g/kg body wt) and the effect of various ratios of vitamin B-6 to protein on this requirement were studied. Eight women were fed a lactoovovegetarian basal diet containing 0.45 mg vitamin B-6 (2.66 [micro]mol as pyridoxine) and 30 [micro]mol carnitine for 92 d. The protocol consisted of successive baseline adjustment (9 d), depletion (27 d), and repletion (two 21-d and then one 14-d) periods. Vitamin B-6 intakes were 1.60, 0.45, 1.26, 1.66, and 2.06 mg, resulting in ratios of vitamin B-6 (in mg) to protein (in g) for the five periods of 0.016, 0.005, 0.0 13, 0.017, and 0.02 1, respectively. Direct and indirect as well as short- and long-term vitamin B-6 status measures were assessed weekly. Regression analysis revealed that the amount of dietary vitamin B-6 required to normalize urinary 4-pyridoxic acid, plasma pyridoxal-P, erythrocyte pyridoxal-P and pyridoxal, and erythrocyte alanine and aspartate aminotransferase activity coefficients to predepletion baseline values was 1.94 mg vitamin B-6/d (0.019 mg vitamin B-6/g protein). This study suggests that the current vitamin B-6 recommended dietary allowance of 1.6 mg/d based on 0.016 mg/g protein is not an adequate intake and may require reevaluation.

In this paper, an efficient robust object tracking approach based on SURF and Kalman Filter is proposed. SURF as an outstanding local invariant feature is employed. Based on the SURF feature, a SURF match method is proposed. A combination method using an ingenious method and KF is used to predict the possible region, in which the tracking object may appear. Only in this region, SURF features are extracted and matched. It can significantly reduce the computational complexity. A histogram-based re-match process is employed to dislodge failure tracking after SURF matching. To verify the performance of the proposed algorithm, several comparative experiments are conducted. The results reveal that the proposed method achieves better performance and accuracy than conventional methods.

In 1973, Lin described a simplified technique of hepatic resection using his clamp and crush method. It allowed regional vascular control to reduce blood loss during parenchymal transection. This technique was aimed at avoiding hilar dissection and vascular clamping, thereby preventing ischemic–reperfusion injury of the remnant liver.

AbstractTraditional mean-shift tracking algorithm use pre-defined tracking feature. Its trends to lead tracking failure in the complex background scenes and fast-changing background scenes. In this paper, an improved mean-shift tracking algorithm using Particle swarm optimization (PSO) based adaptive feature selection is presented to improve the tracking performance. We assume that the features with best discrimination between object and background are also the best for tracking the object. A two-class variance ratio is employed to measure the discrimination. PSO algorithm is used to optimize the different feature combination to adaptively generate the best tracking feature. Experimental results show that the proposed method can improve the performance of mean-shift tracker significantly in the complex and fast-changing background scenes.

This paper proposes an improved distributed model predictive control (DMPC) scheme for multi-agent systems with coupling constraints by applying compatibility constraint and deviation penalisation. Firstly, a sufficient condition based on the compatibility constraint to satisfying cooperative coupling constraints is given, which enables control performance and coupling constraints dependent on the compatibility constraint. Then, in order to optimise the control trajectory and to improve the consistency of the actions between agents, the deviation between what an agent is actually doing and what its neighbours believe it is doing is penalised in the cost function. At each sampling instant, the compatibility constraint of each agent is set tighter than the previous sampling instant. The optimal control problem is formulated as quadratic programming with quadratic constraints. Finally, two simulation examples are given to illustrate the effectiveness of the proposed scheme.

This paper considers the fault estimation problem for a class of nonlinear system with quantised measurements. An iterative learning observer scheme is constructed in this paper, which combined with a logarithmic quantiser of output signals, and the number of quantisation levels of output signals are finite. Compared with the existing approaches of observer-based fault estimation, the proposed iterative learning observer scheme in this paper improve the fault estimation performance in the current iteration by considers both state error and fault estimation consequence of previous iteration. Meanwhile, the designed observer achieves stability and convergence, since Lyapunov stability theory is employed. Moreover, the extension from nominal system to system with parameter uncertainties subjecting to Bernoulli-distributed white sequences with known conditional probabilities is also addressed. Finally, an illustrative example is provided to verify the theoretical results. [ABSTRACT FROM AUTHOR]

This paper addresses a distributed model predictive control (DMPC) scheme for multiagent systems with improving control performance. In order to penalize the deviation of the computed state trajectory from the assumed state trajectory, the deviation punishment is involved in the local cost function of each agent. The closed-loop stability is guaranteed with a large weight for deviation punishment. However, this large weight leads to much loss of control performance. Hence, the time-varying compatibility constraints of each agent are designed to balance the closed-loop stability and the control performance, so that the closed-loop stability is achieved with a small weight for the deviation punishment. A numerical example is given to illustrate the effectiveness of the proposed scheme.

Networked systems using redundant channels to transmit data can effectively reduce the probability of data loss and improve system reliability and control margin. However, the structural complexity and economic cost of the system are also increased. To balance the redundancy and feasibility, the ratio of attraction domain to packet loss rate is defined as a balanced feasibility index. In this paper, single-channel packet loss is considered as Bernoulli distribution and a bounded packet loss network system control model is constructed as the arbitrary bounded packet loss control problem for redundant channel transmission network system. Therefore, the robust conditions of the closed-loop system and the constraints of the input and state are established under the framework of robust predictive control to construct the linear matrix inequality (LMI) optimization problem. Finally, to verify the effectiveness of the design method proposed in this paper, the discrete time-varying linear system and the main steam control system with redundant channels are used as study cases. [ABSTRACT FROM AUTHOR]