Abstract Self‐resistance electric (SRE) heating for the curing of carbon fiber reinforced plastic (CFRP) offers benefits saving energy consumption and reducing investment in equipment. In this work, investigation was carried out to illustrate effect nanotubes (CNTs) addition (0.5, 1.0, 1.5 wt%) on thermoset mechanical properties fiber‐reinforced epoxy laminates fabricated by SRE method. The results show that adding CNTs can improve temperature uniformity interlayer‐resin flow during process...

Abstract Unavoidable minor electric vehicle collisions can cause defects and deformations in lithium-ion batteries (LIBs). The safety of such defective is crucial for ensuring the overall stability battery systems. However, usability a mechanisms underlying damage remain unclear. In this study, we focus on mechanical performance batteries, thresholds, associated failure mechanisms. Initially, two typical cells are prepared by quasi-static loading using different indenters. responses these...

Diffusion-based super-resolution (SR) models have recently garnered significant attention due to their potent restoration capabilities. But conventional diffusion perform noise sampling from a single distribution, constraining ability handle real-world scenes and complex textures across semantic regions. With the success of segment anything model (SAM), generating sufficiently fine-grained region masks can enhance detail recovery diffusion-based SR model. However, directly integrating SAM...

Recently, the generating function method for optimal control problems was proposed. It provides a family of trajectories different boundary conditions. This paper proposes to compute by using pair functions. The proposed reduces on-line computational effort in calculating numerical integration required conventional method. is useful trajectory generation problems.

Recently, the method based on generating functions is proposed for nonlinear optimal control problems. For a finite time problem with given boundary condition, once function fixed condition obtained, any trajectory of same system different conditions can be generated easily. An algorithm to compute an approximate solution Hamilton-Jacobi equation respect developed in this paper. Numerical examples illustrate effectiveness method.

Recent advances in deep learning bring impressive performance for multimedia applications. Hence, compressing and deploying these applications on resource-limited edge devices via model compression becomes attractive. Knowledge distillation (KD) is one of the most popular techniques. However, well-behaved KD approaches require original dataset, which usually unavailable due to privacy issues, while existing data-free methods perform much worse than data-required counterparts. In this paper,...

The tremendous success of large models trained on extensive datasets demonstrates that scale is a key ingredient in achieving superior results. Therefore, the reflection rationality designing knowledge distillation (KD) approaches for limited-capacity architectures solely based small-scale now deemed imperative. In this paper, we identify \emph{small data pitfall} presents previous KD methods, which results underestimation power vanilla framework large-scale such as ImageNet-1K....

During the launching of spacecraft, on-board devices will undergo a series pyroshock environments. In order to verify reliability these under environments, all them are needed take shock test before launching. This paper has carried out an in-depth research on simulation method based true explosive excitation. this study, simulator containing multiple adjustment parameters is presented and safety considered by design protective cover. And working process setup simulated with explicit dynamic...

Recently, asteroid exploration becomes an important branch of human's deep space activities. In this paper, a piecewise linear optimal orbital maneuver strategy is designed for spacecraft soft landing on irregular-shaped asteroids. First, the around irregular converted into several grid units, and gravitational field linearly fitted in each unit. Then, soft-landing design problem formulated as problem, further transferred family two-point boundary value problems, which can be solved using...

Recently, the generating function method for optimal control problems was proposed. It provides a family of trajectories different boundary conditions. This paper proposes to compute by using pair functions. The proposed reduces on-line computational effort in calculating numerical integration required conventional method. is useful trajectory generation problems.

Model compression without the original data for fine-tuning is challenging deploying large-size models on resource constrained edge devices. To this end, we propose a novel data-free model framework based knowledge distillation (KD), where multiple teachers are utilized in collaborative manner to enable reliable distillation. It mainly consists of three components: adversarial generation, multi-teacher KD, and adaptive outputs aggregation. In particular, some synthesized generated an mimic...

Recently, the double generating function method for finite time linear quadratic optimal control problems was proposed. This paper applies it to on-demand gaits generation of a compass biped robot walking on level ground. The is employed generate reference and inputs considering energy consumption by linearizing robot. simulation result shows that modeling error caused linearization small when walks with reasonable step length appropriate period. implies states linearized system can be...

A method based on the generating function for finite time optimal control problems was proposed recently. single can generate a family of inputs which are functions state different boundary conditions. Therefore, trajectories conditions be obtained by numerical integration along system dynamic equation. This paper proposes to compute nonlinear problem interval using pair functions. The reduces online computational effort in calculating required function. It is useful on-line trajectory...

The reconstruction of a broken contour line is prerequisite for the automated processing lines. When situation with lines severe or terrain more complex, incorrect and missing connections are most likely to occur using traditional methods. In this paper, method based on similar completely closed contours proposed. First, node densification conducted improve identification accuracy reference line. Second, discrete Fréchet distance used select perform reconstruction. Finally, actual data...

This paper develops the double generating function method for discrete-time linear quadratic optimal control problem. can give generators solutions only in terms of pre-computed coefficients and boundary conditions, which is useful on-line repetitive computation different conditions. Moreover, since each generator contains inverse terms, invertibility analysis also performed to conclude that constructed by functions with opposite time directions are invertible under some mild while same will...

To control a compass biped robot walking in complex environment, it is necessary to adjust its step length and speed for every step. Therefore, the computation time calculate suitable gait each step, which called on-demand this paper, should be short enough walk continuously. Recently, double generating functions method finite linear quadratic optimal problems was proposed, whose advantage that can generate parametrization of trajectories different boundary conditions periods. It very useful...

An algorithm and data structures are developed for finding the solution to nonlinear finite time optimal control problems based on double generating functions. The state input trajectories given in forms of Taylor series with respect initial terminal values state. Therefore, it is easy generate a family different boundary conditions. proposed furnishes systematic procedure compute coefficients recursively up any order off-line. on-demand computational effort decreases greatly compared...