Reconfigurable manufacturing systems (RMSs), which possess the advantages of both dedicated serial lines and flexible systems, were introduced in mid-1990s to address challenges initiated by globalization. The principal goal an RMS is enhance responsiveness unforeseen changes product demand. RMSs are costeffective because they boost productivity, increase lifetime system. Because many streams a may be produced on RMS, maintaining precision challenge. But experience with last 20 years...

Unmanned surface vehicle (USV) has witnessed a rapid growth in the recent decade and been applied various practical applications both military civilian domains. USVs can either be deployed as single unit or multiple vehicles fleet to conduct ocean missions. Central control of USV formations, path planning is key technology that ensures navigation safety by generating collision free trajectories. Compared with conventional algorithms, deep reinforcement learning (RL) based algorithms provides...

The "factory-in-a-box" concept involves assembling production modules (i.e., factories) in containers and transporting the to different customer locations. Such a could be highly effective during emergencies, when there is an urgent demand for products (e.g., COVID-19 pandemic). planning problem can divided into two sub-problems. first sub-problem deals with assignment of raw materials suppliers, sub-assembly decomposition, manufacturers, tasks manufacturers. second focuses on transport...

Driving is important for older people to maintain mobility. To reduce age‐related functional decline, drivers may adjust their driving by avoiding difficult situations. One of these situations in adverse weather conditions such as the rain, snow and fog which visual clarity road ahead. The upcoming highly automated vehicle (HAV) has potential supporting people. However, only limited work been done study drivers’ interaction with HAV, especially conditions. This investigates effect age on...

Abstract Laser-based additive manufacturing (LBAM) provides unrivalled design freedom with the ability to manufacture complicated parts for a wide range of engineering applications. Melt pool is one most important signatures in LBAM and indicative process anomalies part defects. High-speed thermal images melt captured during make it possible situ monitoring porosity prediction. This paper aims broaden current knowledge underlying relationship between provide new possibilities efficient...

Abstract Catastrophic failure in brittle materials is often due to the rapid growth and coalescence of cracks aided by high internal stresses. Hence, accurate prediction maximum stress critical predicting time improving fracture resistance reliability materials. Existing high-fidelity methods, such as Finite-Discrete Element Model (FDEM), are limited their computational cost. Therefore, reduce cost while preserving accuracy, a deep learning model, StressNet, proposed predict entire sequence...

To better prevent the occurrence of hidden dangers coal mine accidents and ensure safety production enterprises. This paper mines analyses pattern historical monthly danger quantity in constructs three models: traditional backpropagation (BP) neural network model, BP based on adaptive moment estimation optimization algorithm (Adam-BP) prediction model with introduction moderators (Month-Adam-BP). The experimental results show that Adam-BP can improve accuracy, which mean absolute percentage...

The technique to forecast available parking spaces (APSs) is the foundation theory of guidance information systems (PGISs). This study utilises data collected on availability at several off‐street garages in Newcastle upon Tyne, England, investigate changing characteristics APS. Using these baseline research reported here aims build up a short‐term APS forecasting model and applies wavelet neural network (WNN) method PGIS problem. After selecting optimal preferences, including training set...

The population of older drivers is increasing in size. However, age-related functional decline potentially reduce their safe driving ability and thereby wellbeing may decline. Fortunately, the forthcoming highly automated vehicles (HAVs) have potential to enhance mobility drivers. HAVs would introduce a revolutionary human-machine interaction which can be completely disengaged from driving, control required occasionally. In order inform design an age-friendly HAVs, several semi-structured...

Driving is closely linked to older people’s mobility and independence. However, age-related functional decline reduces their safe driving abilities thereby wellbeing may decline. The rapid development of vehicle automation has the potential enhance drivers by enabling them continue safer for longer. So far only limited work been carried out study drivers’ interaction with highly automated vehicles (HAV). This investigates effect age level disengagement on takeover control performance in HAV....

We propose EdgeCS---an edge guided compressive sensing reconstruction approach---to recover images of higher quality from fewer measurements than the current methods. Edges are important image features that used in various ways recovery, analysis, and understanding. In sensing, sparsity edges has been successfully utilized to images. However, detectors have not on improve recovery subsequently recovery. This motivates us EdgeCS, which alternatively performs detection a mutually beneficial...

When designing a new large manufacturing system with high throughput, the corporation should weigh several factors: capital investment cost, system's responsiveness to future varying market demand, production losses due disruptive events, and product quality. These performance metrics depend heavily on configuration. In this paper, typical configurations of large-volume systems for mechanical products are compared from quality perspectives. addition traditional serial lines pure parallel...

Abstract Effective liner shipping is important for the global seaborne trade. The volume of cargoes transported by has been increasing over past decades. Liner companies face three levels decision problems, including strategic, tactical, and operational problems. tactical-level decisions are commonly made every to 6 months. These include: (1) port service frequency determination; (2) fleet deployment; (3) sailing speed optimization; (4) vessel schedule design. Most concurrent studies have...

In the past decade, there is an increasing interest in deployment of unmanned surface vehicles (USVs) for undertaking ocean missions dynamic, complex maritime environments. The success these largely relies on motion planning algorithms that can generate optimal navigational trajectories to guide a USV. Apart from minimising distance path, when deployed USVs' also need consider other constraints such as energy consumption, affected currents well fast collision avoidance capability. this...

Physics-informed machine learning is emerging through vast methodologies and in various applications. This paper discovers physics-based custom loss functions as an implementable solution to additive manufacturing (AM). Specifically, laser metal deposition (LMD) AM process where a beam melts deposited powder, the dissolved particles fuse produce components. Porosity, or small cavities that form this printed structure, generally considered one of most destructive defects AM. Traditionally,...