To address the problems of poor welding completeness and inefficient configuration for defective automotive body-in-white panels, we propose a method detecting configuring panels based on digital twin (DT) mixed reality (MR). The uses DT to build an MR-oriented framework detections panel completeness. We knowledge base Yolov4-based detection method, MR-based in panels. Our team develop system fully validate effectiveness method.

In the era of Industry 5.0, human-centric manufacturing necessitates deep integration between workers and intelligent workshop scheduling systems. However, inherent variability in worker efficiency due to learning forgetting effects poses challenges human–machine–logistics collaboration, thereby complicating multi-resource smart workshops. To address these challenges, this study proposes a real-time task-driven collaborative framework designed enhance coordination First, incorporates...

In the context of new retail and personalized, small-batch, distributed collaborative production, orders arrive in real time, each workshop needs to organize production lines based on suborders time under constraints smart contracts. However, existing cloud centralized scheduling method has very high calculation communication costs when inserting fully reactive edge is difficult meet various order-level requirements customers. Therefore, this article proposes a real-time model that considers...

In recent years, the individualized demand of customers brings small batches and diversification orders towards enterprises. The application enabling technologies in factory, such as industrial Internet things (IIoT) cloud manufacturing (CMfg), enhances ability customer requirement automatic elicitation process control. job shop scheduling problem with a random arrival time dramatically increases difficulty management. Thus, how to collaboratively schedule production logistics resources...

The calibration of (low-cost) inertial sensors has become increasingly important over the past years since their use grown exponentially in many applications going from unmanned aerial vehicle navigation to 3D-animation.However, this procedure is often quite problematic signals issued these have a complex spectral structure and methods available estimate parameters models are either unstable, computationally intensive and/or statistically inconsistent.This paper presents new software...

The development of industrial-enabling technology, such as the industrial Internet Things and physical network system, makes it possible to use real-time information in production-logistics scheduling. Real-time an intelligent factory is random, arrival customers’ jobs, fuzzy, processing time Production-Logistics Resources. Besides, coordination production logistic resources a flexible workshop also hot issue. availability this will enhance quality making scheduling decisions. However, when...

The gmwm R package for inference on time series models is mainly based the quantity called wavelet variance which derived from a decomposition of series. This provides means to summarize and graphically represent features in order identify possible models. Moreover, it used as moment condition model estimation through generalized method moments. Based latter method, this not only an alternative estimate classical ARMA but also delivers general framework robust many well quick efficient...

In recent years, the individualized demand of customers brings small batches and diversification orders towards enterprises. The application enabling technologies in factory, such as Industrial Internet Things (IIoT) Cloud Manufacturing (CMfg), enhances ability customer requirement automatic elicitation manufacturing process control. job shop scheduling problem with random arrival time dramatically increases difficulty management. Thus, how to collaboratively schedule production logistics...

The spectrum scarcity crisis has resulted in a shortage of resources for many emerging wireless services, and research on dynamic management been used to solve this problem. Game theory can allocate users an economic way through market competition. In paper, we propose bidding game-based allocation mechanism cognitive radio network. our framework, primary networks provide heterogeneous service different numbers channels, while secondary have diverse bandwidth demands transmission....

Linear motion and out-of-focus blur often coexist in a surveillance system, which degrade the quality of acquired images thus complicate task object recognition event detection. In this work, we present point spread function-based (PSF-based) approach considering fundamental characteristics linear based on geometric optics to restore coexisting blurred without application-dependent parameters selection, where sharpness measure is employed as cost function automatically select optimal...

The calibration of (low-cost) inertial sensors has become increasingly important over the past years since their use grown exponentially in many applications going from unmanned aerial vehicle navigation to 3D-animation. However, this procedure is often quite problematic signals issued these have a complex spectral structure and methods available estimate parameters models are either unstable, computationally intensive and/or statistically inconsistent. This paper presents new software...

As a candidate technology of B5G cellular Internet Things(IoT), grant-free non-orthogonal multiple access (NOMA) has arisen worldwide concerns. However, the non orthogonality leads to mutual interference between users which reduces reliability NOMA systems. Recent research in design transmission signal and multiuser detection are carried out separately is difficult achieve global optimum. To solve this problem, we study joint optimization for system from an information bottleneck (IB)...

Intelligent reflecting surface (IRS), as an emerging hardware which could reflect signals towards any direction, is suitable for improving network coverage in urban environments. In this letter, we combine blockages with IRS and design a mechanism to cross blockages, thereby establishing "base station-blockage-user" cascaded channel. To analyze the performance, use stochastic geometry model networks access strategies of typical users, along distance communication success probability under...

This paper proposes a signal detection algorithm with good performance in the large scale uplink multiuser multiple-input multiple-output (MU-MIMO) systems. The proposed employs minimum mean-square error (MMSE) result as initial values, and project random noise to orthonormal eigenvector subspace amend of enhancement MMSE detection, where components become uncorrelated. To reduce complexity, an approximated log likelihood function is employed, only fixed number candidates small values are...