Hydrogel-based flexible electronic devices have great potential in human motion monitoring, electronic skins, and human-computer interaction applications; hence, the efficient preparation of highly sensitive hydrogel-based flexible sensors is important. In the present work, the ultrafast polymerization of a hydrogel (1–3 min) was achieved by constructing a tannic acid (TA)-Fe³⁺ dynamic redox system, which endowed the hydrogel with good adhesion performance (the adhesion strength in wood was 17.646 kPa). In addition, the uniform dispersal ensured by incorporating polydopamine-decorated polypyrrole (PPy@PDA) into the hydrogel matrix significantly improved the hydrogel’s stretching ability (575.082%). The as-prepared PAM/CS/PPy@PDA/TA hydrogel-based flexible sensor had a high-fidelity low detection limit (strain = 1%), high sensitivity at small strains (GF = 5.311 at strain = 0–8%), and fast response time (0.33 s) and recovery time (0.25 s), and it was reliably applied to accurate human motion monitoring and handwriting recognition. The PAM/CS/PPy@PDA/TA hydrogel opens new horizons for wearable electronic devices, electronic skins, and human-computer interaction applications.

Although various superhydrophobic materials have been manufactured and effectively used for oil–water separation, it is still highly desirable to explore materials which are eco-friendly, low-cost, and multifunctional. In this paper, a stable copolymer solution was prepared from the fluorine-free superhydrophobic copolymer with dual-responsiveness of temperature and pH. The functional superhydrophobic paper was prepared by immersing paper in copolymer solution by the dip-coating method. The surface element and structure analysis of the prepared superhydrophobic paper shows that the dual-responsive copolymer adheres successfully to the surface of the paper without destroying the fiber structure of the paper. At pH ≥ 7 and T > 25 °C, the paper has a good superhydrophobic performance, while under the conditions of pH < 7 and T < 25 °C, the paper comes into a hydrophilic state. Therefore, the dual-responsive superhydrophobic paper is more likely to adapt to the complicated oil-water separation environment than the single-response.

This paper investigated a parallel machine scheduling problem in the printing manufacturing systems due to operational requirements on the color-batching of the printed matter and sequential requirements on the sequence adherence of a printing press. Resequencing printing jobs as color-oriented batches reduced the costs of color changes and operational costs for printing shop. Also, post press workshop required printing shops to print jobs with minimal makespan so that high sequence adherence with its demand is assured. Based on real-world applications, we investigated two contradictory objectives-color change costs and minimal makespan-in a parallel high-fidelity printing press scheduling environment. A job sequence optimization approach is proposed. Moving interpolation algorithm and color sequence mapping algorithm are designed to reduce frequency of replacing ink. Base on iterative greedy algorithm, color sequence job groups with the same or similar color sequence are scheduled to the printing presses. Three experiments are conducted and showed that the proposed approach has good feasibility and effectiveness, and convergence in solving minimum completion time. Therefore, the proposed approach can be used in printing shops to improve scheduling efficiency and reduce production costs.

With the print production process as the research object in this paper, the intelligent-context-reconfigurable printing system model is analyzed using process algebra (PA). First, combined with the printing production process, the overall framework of the system model, based on the agent-resource-worker (ARW) component model, is proposed. Abstract and formal verification of the system model are then carried out, and the verification process of the complex calibration process is discussed. Finally, the security and progress attributes of the model are validated by mCRL2. The results show that the system model has good reliability.

When printing orders change, the reconfigurable printing manufacturing system (RPMS) needs to be reconfigured, which produces many feasible reconfiguration schemes. To find the optimal reconfiguration scheme and verify its integrity, an operation chain model (OCM) of an RPMS is proposed to describe the operating process of an RPMS. First, a comprehensive evaluation algorithm considering both subjective and objective evaluation probabilities is designed by analyzing the characteristics of the printing production process. Then, the syntax of stochastic process algebra is conservatively extended to meet the operation chain’s specifications. The syntax and transition rules of the OCM are defined and the semantic model of the operation chain is constructed. Finally, we carried out experiments on the RPMS of a printing enterprise and provide the experimental results. The results show that the optimal printing scheme that is selected by the OCM is in line with expectations. In addition, the measurement result ICP = true shows that the optimal reconfigurable printing scheme process has good integrity.