Integral imaging is an emerging three-dimensional display technology. However, some inherent issues such as depth inversion has restricted its development. As such, this paper proposes a pixel fusion technique to generate elemental image arrays and overcome pseudoscopic problems occurring in sparse imaging environments. The similarity between the aimed displayed rays and the two adjacent captured rays of an object in a parallel light field was measured by the ratio of the spatial distance of the displayed and captured rays to the interval of the adjacent captured light. Displayed pixel values were acquired for the parallel captured rays. Corresponding pixel position errors were determined in sparse capture conditions and the method was further improved by using the position errors to identify the correct pixel, resulting in higher image quality. The proposed technique does not require manual adjustment of reference planes or other parameters, even at low capturing densities. This provides added convenience and may reduce capturing costs in actual scenes. Experiments using two bricks in virtual scenes under 9 × 9 to 137 × 137 capture cameras were conducted, and the quality of the generated elemental image array was compared with smart pseudoscopic-to-orthoscopic conversion (SPOC). The peak signal-to-noize ratio (PSNR) and structural similarity (SSIM) values showed the effectiveness of the proposed technique. The optical reconstruction results from both real and virtual scenes demonstrated improvements in vision of reconstructed three-dimensional scenes.
Cyber-physical systems (CPSs) are next-generation intelligent systems that integrate computing, communication, and control. Malicious attacks on CPSs can lead to both property damage and casualties. Therefore, it is worth surveying CPS security by reviewing and analyzing the latest high-quality related works. In this paper, we provide an overview of the CPS security studies from the last five years and select 142 related works from A- or B-level conferences/journals recommended by the China Computer Federation (CCF). First, we review the main contents of the selected papers and classify them into 24 topics. Then, we analyze hotspots and trends of CPS security technologies in three dimensions: (1) architecture layers (perception, network, and application); (2) application scenarios (smart grids, health care, smart transportation, smart homes, and general grids); and (3) MADC (Measure, Attack, Defense, and Control) types. Finally, we also perform a statistical analysis in terms of paper publication times, author institutes, countries, and sponsors to show the current worldwide CPS security research situation.
Abstract:In this paper, we compare the properties of the traditional additive-based data envelopment analysis (hereafter, referred to as DEA) models and propose two generalized DEA models, i.e., the big M additive-based DEA (hereafter, referred to as BMA) model and the big M additive-based super-efficiency DEA (hereafter, referred to as BMAS) model, to evaluate the performance of the biomass power plants in China in 2012. The virtues of the new models are two-fold: one is that they inherited the properties of the traditional additive-based DEA models and derived more new additive-based DEA forms; the other is that they can rank the efficient decision making units (hereafter, referred to as DMUs). Therefore, the new models have great potential to be applied in sustainable energy project evaluation. Then, we applied the two new DEA models to evaluate the performance of the biomass power plants in China and find that the efficiency of biomass power plants in the northern part of China is higher than that in the southern part of China. The only three efficient biomass power plants are all in the northern part of China. Furthermore, based on the results of the Wilcoxon-Mann-Whitney rank-sum test and the Kolmogorov-Smirnov test, there is a great technology gap between the biomass power plants in the northern part of China and those in the southern part of China.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.