Cyberspace Mimic Defense (CMD) is a proactive defense theory proposed in recent years to deal with vulnerability and backdoor threats that are common in information systems. Different from moving target defense (MTD), CMD can obtain foundation by verifying multiple results from isolated, heterogeneous, and parallel running spaces, thus initiating a more targeted defensive action, such as scheduling and structure transformation. However, scheduling sequence control is a severe problem in this process, which needs to select a series of scheduling time and take into account security, efficiency, and robustness for variable attack situations. Inspired by the traffic and congestion control mechanism in computer networks, this paper proposed a sliding window-based scheduling sequence control method. By setting driver events to trigger the window ''sliding,'' the control parameters update and adapt to the current state accordingly. Then, considering internal resource constraints and external attack situations, a two-factor driver on variable period and exception threshold with their corresponding calculations are specified. Evaluations show that this method can maintain good performance under different scenarios, which proves to be an effective solution for scheduling sequence control in CMD.

The FPGA‐based image classification accelerator has achieved success in many practical applications. However, most accelerators focus on solving the problem of convolution computation efficiency. End‐to‐end image classification involves many non‐convolutional operations, which can also become performance bottlenecks. Therefore, the authors propose an FPGA‐based JPEG preprocessing accelerator, which can accelerate non‐convolution operations of JPEG before feature extraction. To improve throughput and energy efficiency, four hardware structures are adopted in the design: 1) adaptive image block; 2) fast IDCT; 3) image block buffer; and 4) image block self‐location. The proposed design is evaluated on Xilinx XCZU7EV. The authors compare it with the optimized implementation of CPU and GPU, and the energy efficiency is improved by 23.07 times and 4.21 times, respectively. The throughput is 2.52 times better than the CPU implementation. And the authors demonstrate its practicality through a case study of image classification. These experimental results demonstrate its superior performance in terms of throughput and energy efficiency.

It is highly desired but challenging to design high performance catalyst for selective hydrogenation of nitro compounds into amino compounds. Herein, a boosting chemoselective hydrogenation strategy on Pt@Fe2O3 is proposed with gradient oxygen vacancy by synergy of hydrogen spillover and preferential adsorption. Experimental and theoretical investigations reveal that the nitro is preferentially adsorbed onto oxygen vacancy of Pt@Fe2O3, meanwhile, the H2 dissociated on Pt nanoparticles and then spillover to approach the nitro for selective hydrogenation (>99% conversion of 4‐nitrostyrene, > 99% selectivity of 4‐aminostyrene, TOF of 2351 h−1). Moreover, the iron oxide support endows the catalyst magnetic retrievability. This high activity, selectivity, and easy recovery strategy provide a promising avenue for selective hydrogenation catalysis of various nitroaromatic.

The drying process of immersed lignite has a significant influence on the characteristics and progress of spontaneous combustion. To reveal the influence mechanism of the drying process of immersed coal on the spontaneous combustion characteristics and the change rule of the spontaneous combustion process, in this research, we measured the mass change during coal oxidation with thermogravimetry, and the change of the functional groups with Fourier transform infrared spectroscopy. The influence of the drying process on the coal was analyzed by comparing activation energy, functional group of immersed coal with different drying degrees and raw coal. The results showed that, compared with raw coal, the content of Ar–C–O– and antisymmetric stretching vibration of the carboxylate group (–COO–) as well as the stretching vibration in the quinone group (C=O) and the –OH group increased. For the content of $$\delta s.{\text{RCH}}_{{3}}$$ δ s . RCH 3 ,$$\delta as.{\text{R}}_{{2}} {\text{CH}}_{2}$$ δ a s . R 2 CH 2 $$\delta as.{\text{RCH}}_{{3}}$$ δ a s . RCH 3 , the value of Asym.CH2/Asym.CH3 decreased. The content of various functional groups changed to be favorable for oxidation and heat release. At different reaction stages, the activation energy was differently affected by the degree of drying. Average values of activation energies at different reaction stages are shown raw coal had the lowest activation energy. After soaking in water and drying, the activation energy of coal is increased to varying degrees, the reactivity is reduced, and the risk of spontaneous combustion is reduced. After soaking in water and drying, the activation energy of coal is increased to varying degrees, the reactivity is reduced, and the risk of spontaneous combustion is reduced. The activation energy of the coal samples dried for 24 h after soaking in water is the lowest among the coal samples dried for different times after soaking in water, and the moisture content is 10.5%.