Facial reenactment is aimed at animating a source face image into a new place using a driving facial picture. In a few shot scenarios, the present strategies are designed with one or more identities or identity-sustained suffering protection challenges. These current solutions are either developed with one or more identities in mind, or face identity protection issues in one or more shot situations. Multiple pictures from the same entity have been used in previous research to model facial reenactment. In contrast, this paper presents a novel model of one-shot many-to-many facial reenactments that uses only one facial image of a face. The proposed model produces a face that represents the objective representation of the same source identity. The proposed technique can simulate motion from a single image by decomposing an object into two layers. Using bi-layer with Convolutional Neural Network (CNN), we named our model Bi-Layer Graph Convolutional Layers (BGCLN) which utilized to create the latent vector's optical flow representation. This yields the precise structure and shape of the optical stream. Comprehensive studies suggest that our technique can produce high-quality results and outperform most recent techniques in both qualitative and quantitative data comparisons. Our proposed system can perform facial reenactment at 15 fps, which is approximately real time. Our code is publicly available at https://github.com/usaeed786/BGCLN.

This paper studies the adaptive control problem for a class of uncertain fractional nonlinear systems with actuator faults, where the total number of failures is allowed to be infinite. A compensating term in a smooth function form of a conventional control law is introduced to compensate for the actuator faults. After the introduction of fractional-order adaptation laws, an adaptive controller is designed by using a modified backstepping technique. Fractional Lyapunov stability criterion is adopted to prove the convergence of the developed proposed controller even in the presence of actuator faults. Finally, a simulation example of fractional-order Chua-Hartley's system is given to verify the effectiveness of the proposed fault-tolerant control scheme.

Aiming to improving the exception handling capacity of BPEL process, this paper explores a policy-based exception handling method for service-oriented processes. The paper propose a policy-based exception handling description language EHPDL-P,and design a exception handling framework EHP-F to support the implementation mechanism of exception handling process based on EHPDL-P. Finally,through a case study from the domain of Manufacturing Execution System, this paper demonstrates the policy-based exception handling approach for service-oriented processes.

A new server-decentralized Internet architecture based on Jabber for robot remote control is proposed in order to have high availability, performance, scalability, fault tolerance and security. Four components of the architecture: operators, robots, transfer servers and data-keeper are defined and functioned. The robot-controlling data/robot state data are packed with XML stanzas and delivered to the addressed robot/operator through XML streams. In order to test its availability, the architecture is implemented and instanced as a remote control simulation system of Puma560 robot. The system is experimented and a network test is carried out to evaluate the structure; the results show that the architecture is suitable for many kinds of robot remote control scenarios despite the tough network environment