Since the inception of artificial intelligence in 1956, it has brought about significant transformations in people's production and daily lives. Artificial intelligence technology is widely applied in various fields due to its capacity to emulate human thinking and learning. Focusing on the creation of cinematic culture, contemporary film production has gradually shifted towards digitization in its processes and virtualization in its content. Consequently, the continuous iterative development of digital filmmaking technology has presented further opportunities for integration with artificial intelligence technology.In the context of virtual production technology expanding to encompass the entire filmmaking process, this paper aims to explore artificial intelligence image technology from the perspective of digital cinema. It elucidates the application characteristics of artificial intelligence technology in the realm of imagery under the current cinematic aesthetics, delves into the future visual marvels constructed by films in the era of artificial intelligence, and thereby further explores the impact of artificial intelligence image technology on the creative concepts of future digital filmmaking, along with the insights and reflections derived from this exploration.

High penetration of converter-interfaced renewable energy resources will significantly change the swing dynamics between synchronous generators (SGs) in future power systems. This article examines the impact of high converter penetration on wave-like disturbance propagation arising from sudden generator and load losses in radial (1-D) and meshed (2-D) power systems. To keep the uniformity assumption as converters are introduced, the rating of each SG is decreased with a converter resource making up for the reduction. Numerical simulations demonstrate that as the penetration level of constant-power grid-following (GFL) converters increases, the speed of disturbance propagation increases due to the reduced system inertia. Naturally, converters with the capabilities to positively respond to disturbances would in turn reduce the propagation speed. Analytical studies based on continuum models are presented for the 2-D system with SGs and constant-power GFL converters in order to visualize the disturbance propagation and validate numerical simulations based on differential-algebraic equations. In addition, fast active power control of converters can slow down the electromechanical wave (EMW) propagation and even contain it. These concepts are illustrated on the idealized radial and meshed systems and a reduced model of the U.S. eastern interconnection.

Height is an important indicator of rice growth condition and phenological period. The Polarimetric SAR Interferometry (PolInSAR) has proven a valuable technique for providing structural metrics of vegetation. Anechoic chamber experiments, allowing a high flexibility in the configuration of operating parameters, such as frequency and baseline, is the most convenient and feasible way to study the potential of PolInSAR in rice height retrieval. In this study, the first PolInSAR measurements of a recently built anechoic chamber, The Laboratory of Target Microwave Properties (LAMP), were presented and analyzed versus frequency and baseline, and rice height was retrieved using the measurement data. The results confirm that LAMP has the ability of PolInSAR, and the height of rice in milk stage is retrieved more precisely in the frequency range of 2.5 to 4.7GHz, when the baseline is 0.5°. The results are expected to contribute to studying and to defining the operation modes for future SAR missions.