The Cyber-physical system is highly desirable for real-time perception and dynamic control, especially in task scheduling and network communication for large and complex engineering systems. In most of applications, the resource scheduling of cyber and physical network are independent to each other, which may cause severe deterioration of the network performance. To implement the cognitive cooperation between the upper layer of industrial services and the underlying network, we propose a co-optimization method in this paper. We adopt the SDN technology to extract the network control logic, which is integrated with the upper-level task scheduling. This co-optimization scheme can dynamically calculate optimal end-to-end virtual paths over the underlying network infrastructures. Meanwhile, it can also adjust the task scheduling of the upper-level network by signals derived from the underlying network. Simulation results show that our proposed scheme outperforms the traditional method in terms of task acceptance rate, average end-to-end delay and network load balance degree.

In multi-end-to-end path request planning, the control plane may not be able to meet all path request requirements under limited bandwidth resources. Moreover, suboptimal path planning can lead to localized network congestion, which in turn causes an overall imbalance in network load. Therefore, the multi-domain control plane needs to consider more network resource states during the path selection, such as link weights, load saturation, and resource occupancy rates, in order to select the optimal paths to maximize the satisfaction of data plane requirements while maintaining network load balance. To address such issues, we first derive a cross-domain communication load balancing objective function based on network modeling. Through collaborative processing among multi-domain controllers, the coordinated planning of cross-domain paths and the collaborative installation of flow tables are achieved. Then, we transform the cross-domain path planning problem into a clique-finding problem under a set of backup paths. Finally, we provide a heuristic approximate solution method for this problem. In terms of cross-domain communication, we adopt a collaborative approach among multiple controllers to achieve coordinated planning of cross-domain paths and collaborative installation of flow tables. Simulation results show that our proposed scheme outperforms the traditional method in terms of path allocation success rate, network load balancing degree, and data transmission delay, especially in cross-domain communication under high-density path requests in SDN networks.

With the rapid development of mobile Internet services, how to evaluate and enhance user perception is an urgent problem to be solved. Nowadays, smart phones have been popularized in an all-round way, but the traditional wireless network optimization lacks the link of optimization for user terminals. Based on user perception, this paper puts forward a packet capture analysis technology on the terminal, which can realize the linkage analysis of terminal wireless signaling and signaling. Through one-click repair technology, the self-adaptation of expert solution library, system solution library, internet repair library and driver library on the background server side with intelligent terminal is realized, and the one-click repair of the interaction between terminal and network is completed. The flat design can flexibly expand the data type of call ticket to meet different business requirements.

This work presents two implementation modes of thermal imagery systems, to evaluate automotive painted structures mainly car-shells and fuel containers. The non-intrusive evaluation is done through passive (static) and active (dynamic) thermography systems. Passive implementation employs built-in heat agitation sources in the process-chain, while the active system utilizes an external, controlled perturbation sources. The coated structures are evaluated from two perspectives; protective aspect, which include coat thickness, adhesion and pinholes. Aesthetics inspection focuses on contaminants detection and layer uniformity. The work discusses each case study through theoretical modeling and simulation to explain the detection theory, and further present laboratory testing results under controlled conditions. The actual system implementation is also discussed, with the challenges identified and the mitigation procedures shown. Further, novel image processing routines are introduced to explain the acquired scans processing, and problems with current commercially available routines. Finally, Results from actual pilot-runs are discussed and future improvements stated.