Feasibility checking is a step in manufacturing system engineering for verifying the normalization and effectiveness of associated with specific configuration resources processes. It enables factory operators to predict problems before operational time, thus preventing equipment machinery accidents reducing labor waste physically organizing shop floor. In Industry 4.0, feasibility becomes even more critical since emerging challenges, such as mass personalization, require reconfiguring work...

The integration of Large Language Models (LLMs) like GPT-4 into traditional Natural Processing (NLP) tasks has opened new avenues for enhancing model performance while reducing the reliance on extensive human annotations. This paper presents a novel approach that leverages Chain Thought (CoT) prompting technique to distill knowledge from GPT-4, subsequently applying it improve efficiency and effectiveness smaller model, BERT, Named Entity Recognition (NER) tasks. Our method involves...

Industry 4.0 currently prepares a major shift towards extreme flexibility into production lines management. Digital Twins are one of the key enabling technologies for 4.0. However, interoperability gap among digital representation assets is still obstacles to development and adoption twins. If Asset Administration Shell (AAS), standard proposed represent I4.0 components, caters syntactic interoperability, more semantic kind deeply needed develop flexible adaptable lines. In our work, we...

In China, environmental problems have become increasingly severe since the economy began to take off in late 1970s.Under these conditions, climate change has drawn considerable attention domestically and overseas.A large amount of greenhouse gases (GHG), such as carbon dioxide (CO 2 ), sped up process global warming.Meanwhile, plant diseases insect pests, land desertification, rising sea level, other issues will occur due warming.Therefore, bring many threats our human existence.

As digital twins gain momentum in their usage diverse domains, the concept of Asset Administration Shells (AAS) has become very relevant for achieving twin approach, where are representation physical assets. Being a relatively new Industrial Internet Things (IIoT) domain, tools and approaches creating deploying AASs likewise infancy. This paper introduces an open-source tool, Papyrus4Manufacturing, which provides model-based systems engineering approach to AAS. toolset supports creation AAS...

The future intelligent manufacturing systems should possess a high degree of autonomy, which is able to monitor the entire production process, quickly re-plan operations, and respond various unforeseen situations in secure safe manner. This can achieve rapid response customers avoid costly machine downtime, crucial maintaining business success profitability. Asset Administration Shell (AAS) an emerging standard I4.0 (Industry 4.0) domain. Based on concept digital twins, it provides concepts...

Model Based Systems Engineering (MBSE) is a promising solution to formalize and communicate information about the design of complex systems, in particular for automotive industry which faces new challenges associated autonomous driving. Numerical simulation commonly used support these but possible relations with MBSE should be further investigated. This work, conducted academic industrial partners at research institute IRT SystemX, aims bridging gap between system architecture numerical...

Purpose Malicious attacks extremely traumatize knowledge networks due to increasing interdependence among elements. Therefore, exposing the damage of malicious has important theoretical and practical significance. Despite insights being offered by growing research stream, few studies discuss diverse responses networks’ robustness different target-attacks, authors lack sufficient which forms constitute greater disaster when evolve stages. Given irreversible consequences on networks, this...

OPC UA has been emerging as a widely-adopted standard in the industry. An system represents its resources using an information model. This model relies on base OPCUA proposed by Foundation, and is extensible with models from other companion specifications user-defined models. When specification design evolve, developers need to update design. It tricky for testbeds that frequently are updated new devices, protocols, development tools demanded different use cases. paper shares our long-term...

Lot-size-one systems as well plug and produce concepts imply (1) producing increased variety of products in a highly flexible timely manner, (2) making commissioning maintenance more flexible. The speed with which manufacturers, particular SMEs, can reconfigure the production to new run thus respond clients avoid costly machine downtime is critical maintaining commercial success profit margins. manufacturing tomorrow must offer high degree autonomy, be quickly re-planned other operations,...

This paper puts emphasis on how to model and correct image blur that arises from a camera’s ego motion while observing distant star scene. Concerning the significance of accurate estimation point spread function (PSF), new method is employed obtain kernel by thinning path. In particular, blurred can be corrected reconstruct clear scene with which describes path presented. build more effective at modeling spatially introduced than conventional blind kernel-based PSF parameterization. To gain...

ROS 1 and 2 are two widely-used robotic middleware. One of their essential features is to enable robots with the same middleware, or 2, connect directly collaborate. However, running different middleware can only communicate by additionally using one bridge solutions available in community. It even more challenging when deploying these as part an OPC UA - based industrial testbed. The first challenge network other devices. Second, a testbed environment sometimes requires robot join system...

Since China’s announcement of its “dual-carbon” target, aiming for carbon peaking by 2030 and neutrality 2060, considerable efforts have been made both central local governments to achieve these ambitious policy goals. While various regulatory measures emissions abatement implemented in pollution-intensive industries, the importance regional cooperation has largely overlooked. This paper aims elucidate spatial spillovers emissions, with a specific focus on Yangtze River Delta (YRD), most...

In recent years, carbon dioxide capture (CCS) technology has garnered increasing attention as a crucial tool for addressing global climate change and air pollution. This paper delves into several techniques, specifically pre-combustion capture, Oxy-fuel combustion post-combustion highlights the challenges encountered by each. Additionally, we have selected representative projects from both domestic international contexts comprehensive analysis. Based on their specific circumstances,...

We introduce M$^2$Hub, a toolkit for advancing machine learning in materials discovery. Machine has achieved remarkable progress modeling molecular structures, especially biomolecules drug However, the development of approaches structures lag behind, which is partly due to lack an integrated platform that enables access diverse tasks To bridge this gap, M$^2$Hub will enable easy discovery tasks, datasets, methods, evaluations, and benchmark results cover entire workflow. Specifically, first...

We introduce a framework for AI-based medical consultation system with knowledge graph embedding and reinforcement learning components its implement. Our implement of this leverages organized as to have diagnosis according evidence collected from patients recurrently dynamically. According experiment we designed evaluating performance, it archives good result. More importantly, getting better researchers can on based their innovative ideas, well experiments even clinical trials.

The die casting process is highly automated and computerized.Nowadays, the machines are able to display dozens of data each cycle with few setting parameters.The daily remain unexploited in industry.In this experiment, there six parameters for machine, such as cylinder pressure, high speed, high-speed switching point, intensification pressure starting position, injection delay, biscuit thickness.The purpose research use machine learning build two models, model 1 establishes relationship...