Search Results (11)

The hot-pressing process for reconstituted bamboo suffers from issues such as insufficient process monitoring, scattered quality data, difficulties in quality traceability, and a lack of intuitive on-site management. This paper designs and implements a digital twin quality monitoring system tailored for the hot-pressing process of reconstituted bamboo. The system adopts an overall architecture combining a data acquisition layer, a business logic layer, and a display and interaction layer. It collects key data—such as on-site hot-pressing temperature, pressure, displacement, and equipment operating status—via PLCs and industrial communication interfaces. Based on Spring Boot and MySQL, the system handles data reception, storage, processing, and interface publishing. It integrates web pages and Unity 3D interfaces to enable basic information management, quality traceability, hot-pressing temperature monitoring, retrieval of prediction results, equipment status display, and operational data visualization. The system was deployed and validated at the enterprise’s hot-pressing production site. Test results indicate that the system continuously recorded hot-pressing process data for 2040s; the average synchronization delay between the physical end and the virtual model was 520 ms, with a maximum synchronization delay of 1360 ms and a 95th percentile synchronization delay of 910 ms, meeting the requirements for second-level monitoring and visual display of the hot-pressing process. Field application results demonstrate that the system can stably support data acquisition, quality information management, retrieval of predictive results, and digital visualization for the hot-pressing process of reconstituted bamboo, providing systematic support for quality monitoring, process traceability, and digital management of the hot-pressing process. Full article

With the rise in cultural tourism, visitors’ demand for historical and cultural experiences has grown, prompting historical architecture not only to focus on physical preservation but also to offer more intuitive, engaging, and interactive experiences. This study proposes a design method for real-space gamified interactive experiences through mobile applications in historical environments. Qinghui Garden, one of the Four Famous Lingnan Gardens, is used as a case study. A total of 54 visitors participated in an on-site field experiment, with data collected through pre- and post-experience questionnaires, behavioral tracking, and supplementary semi-structured interviews. Through a comparative experiment with three groups of visitors—free exploration, traditional guided tours, and real-space gamified interactive experiences—it was found that the gamified interactive method demonstrated superior clarity and reliability in its technology. Visitor cognitive performance and subjective satisfaction increased by approximately 62.5%, and the gamified interaction effectively guided the spatial flow and interaction behaviors with specific spaces. These findings provide new insights into the design of real-space gamified interactive experiences in historical spaces, contributing significantly to the preservation and cognition of cultural heritage. Full article

A cultural heritage augmented reality system overlays virtual information onto real-world heritage sites, enabling intuitive exploration and interpretation with spatial and temporal contexts. This study presents the design and implementation of a cognitive Mobile Augmented Reality (MAR) system that integrates KCHDM-based ontologies with large language models (LLMs) to facilitate intelligent exploration of urban heritage. While conventional AR guides often rely on static data, our system introduces a Semantic Retrieval-Augmented Generation (RAG) pipeline anchored in a structured knowledge base modeled after the Korean Cultural Heritage Data Model (KCHDM). This architecture enables the LLM to perform dynamic contextual reasoning, transforming heritage data into adaptive question-answering (Q&A) and interactive knowledge-testing quizzes that are precisely grounded in both historical and spatial contexts. The system supports on-site AR exploration and map-based remote exploration to ensure robust usability and precise spatial alignment of virtual content. To deliver a rich, multisensory experience, the system provides multimodal outputs, integrating text, images, models, and audio narration. Furthermore, the integration of a knowledge sharing repository allows users to review and learn from others’ inquires. This ontology-driven LLM-integrated MAR design enhances semantic accuracy and contextual relevance, demonstrating the potential of MAR for socially enriched urban heritage experiences. Full article

The rapid expansion of the Internet of Things (IoT) demands scalable, efficient, and user-friendly gateway solutions that seamlessly connect resource-constrained edge devices to cloud services. Low-cost, widely available microcontrollers, such as the ESP32 and its ecosystem peers, offer integrated Wi-Fi/Bluetooth connectivity, low power consumption, and a mature developer toolchain at a bill of materials cost of only a few dollars. For smart-home deployments where budgets, energy consumption, and maintainability are critical, these characteristics make MCU-class gateways a pragmatic alternative to single-board computers, enabling always-on local control with minimal overhead. This paper presents the design and implementation of an embedded IoT gateway powered by the ESP32 microcontroller. By using lightweight communication protocols such as Message Queuing Telemetry Transport (MQTT) and REST APIs, the proposed architecture supports local control, distributed intelligence, and secure on-site data storage, all while minimizing dependence on cloud infrastructure. A real-world deployment in an educational building demonstrates the gateway’s capability to monitor energy consumption, execute control commands, and provide an intuitive web-based dashboard with minimal resource overhead. Experimental results confirm that the solution offers strong performance, with RAM usage ranging between 3.6% and 6.8% of available memory (approximately 8.92 KB to 16.9 KB). The initial loading of the single-page application (SPA) results in a temporary RAM spike to 52.4%, which later stabilizes at 50.8%. These findings highlight the ESP32’s ability to serve as a functional IoT gateway with minimal resource demands. Areas for future optimization include improved device discovery mechanisms and enhanced resource management to prolong device longevity. Overall, the gateway represents a cost-effective and vendor-agnostic platform for building resilient and scalable IoT ecosystems. Full article

(1) Background: There are many cases of human disease caused by the hepatitis A virus contamination of aquatic products, so the development of the rapid detection of hepatitis A virus in aquatic products is crucial. (2) Methods: In this study, we developed three visual loop-mediated isothermal amplification methods for the rapid and intuitive detection of hepatitis A virus in aquatic products. New specific LAMP primers were designed for the HAV-specific VP1 protein shell. (1) HNB dye was added to the LAMP reaction system. After the reaction, the color of the reaction mixture changed from violet to sky blue, showing a positive result. (2) Cresol red dye was added to the LAMP reaction system, and a positive result was indicated by orange, while a negative result was indicated by purple. (3) By labeling FIP with biotin and LF with 6-FAM, the amplified product simultaneously contained biotin and 6-FAM, which bound to the anti-biotin antibody on the gold nanoparticles on the lateral flow dipstick (LFD). Subsequently, biotin was further combined with the anti-fam antibody on the T-line of the test strip to form a positive test result. (3) Results: The three visual LAMP methods were highly specific for HAV. The sensitivity of the visual assay was 2.59 × 10⁰ copies/μL. The positive detection ratio for 155 bivalve shellfish samples was 8.39%, which was the same as that for RT-qPCR. The three visual LAMP methods established in our work have better sensitivity than the international gold standard, and their operation is simple and requires less time. (4) Conclusions: The results can be obtained by eye color comparison and lateral flow dipsticks. Without the use of large-scale instrumentation, the sensitivity is the same as that of RT-qPCR. The test strips are lightweight, small in size, and easy to carry; they are suitable for emergency detection, on-site monitoring, field sampling, or remote farms and other non-laboratory environments for rapid identification. Full article

The analysis of historical village landscape characteristics and the influential driving factors of their evolutions can provide an essential decision-making basis for rural sustainable development strategies and landscape planning. How to obtain historical village landscape data at a time when objectively recorded data, such as remote sensing images, were unavailable is a key problem that restricts the analysis of village landscape evolution characteristics. As local villagers are important knowledge sources regarding historical village landscapes, a participatory data collection and analysis approach was used for village historical landscape data in this paper using a virtual globe-based three-dimensional participatory geographic information system (3D PGIS). Taking Duimengshan village, Guizhou, China, as a case study, the 3D landscape of the Duimengshan village and corresponding major historical events in four historical periods, 1958, 1980, 1995, and 2015, were collected in an on-site, interactive way by researchers with the participation of local villagers, and its land-use structure, ecosystem service values, and landscape pattern were analyzed. The results show that the historical landscapes in the four periods were strongly related to important local historical events. The 3D PGIS greatly mobilized the enthusiasm of villagers to participate with its intuitive 3D display form and simple and easy-to-use operation mode. It can be concluded that the historical landscape memory of local villagers and the oral inheritance information handed down from generation to generation can be utilized to make up for the lack of remote sensing and other objective data in the collection and acquisition of historical village landscape data. The obtained historical village landscape characteristics and their evolution laws can be used in future participatory rural planning and landscape design. Full article

Changes in the geological environment and track wear, and deterioration of train bogies may lead to the looseness of subway fasteners. Identifying loose fasteners randomly distributed along the subway line is of great significance to avoid train derailment. This paper presents a convolutional autoencoder (CAE) network-based method for identifying fastener loosening features from the distributed vibration responses of track beds detected by an ultra-weak fiber Bragg grating sensing array. For an actual subway tunnel monitoring system, a field experiment used to collect the samples of fastener looseness was designed and implemented, where a crowbar was used to loosen or tighten three pairs of fasteners symmetrical on both sides of the track within the common track bed area and the moving load of a rail inspection vehicle was employed to generate 12 groups of distributed vibration signals of the track bed. The original vibration signals obtained from the on-site test were converted into two-dimensional images through the pseudo-Hilbert scan to facilitate the proposed two-stage CAE network with acceptable capabilities in feature extraction and recognition. The performance of the proposed methodology was quantified by accuracy, precision, recall, and F1-score, and displayed intuitively by t-distributed stochastic neighbor embedding (t-SNE). The raster scan and the Hilbert scan were selected to compare with the pseudo-Hilbert scan under a similar CAE network architecture. The identification performance results represented by the four quantification indicators (accuracy, precision, recall, and F1-score) based on the scan strategy in this paper were at least 23.8%, 9.5%, 20.0%, and 21.1% higher than those of the two common scan methods. As well as that, the clustering visualization by t-SNE further verified that the proposed approach had a stronger ability in distinguishing the feature of fastener looseness. Full article

In recent years, designing in existing environments has been consistently emphasized in community planning. However, practicing such on-site design is not easy for designers, because the current technical conditions do not allow virtual design objects into real environments for 3D visualization and interaction. Thus, designers’ intuitive design perceptions, accurate design judgments, and convenient design decisions are hardly supported. This paper explores the possibilities of using mixed reality (MR) technology to improve designers’ on-site design experiences in community planning. For this, we introduced an MR design support system (MR-DSS) for the interactive on-site 3D visualization of virtual design objects. With the MR-DSS, we performed a design experiment with sixteen participants in a typical on-site design scene of community planning. The results showed that the MR technology could provide designers with intuitive design perceptions, accurate design judgments, and convenient design decisions, thus effectively improving their on-site design experiences. Full article

To analyze the quality of resuscitation (CPR) performed by individuals without training after receiving a set of instructions (structured and unstructured/intuitive) from an expert in a simulated context, the specific objective was to design a simple and structured CPR learning method on-site. An experimental study was designed, consisting of two random groups with a post-intervention measurement in which the experimental group (EG) received standardized instructions, and the control group (CG) received intuitive or non-standardized instructions, in a public area simulated scenario. Statistically significant differences were found (p < 0.0001) between the EG and the CG for variables: time needed to give orders, pauses between chest compressions and ventilations, depth, overall score, chest compression score, and chest recoil. The average depth of the EG was 51.1 mm (SD 7.94) and 42.2 mm (SD 12.04) for the CG. The chest recoil median was 86.32% (IQR 62.36, 98.87) for the EG, and 58.3% (IQR 27.46, 84.33) in the CG. The use of a sequence of simple, short and specific orders, together with observation-based learning makes possible the execution of chest compression maneuvers that are very similar to those performed by rescuers, and allows the teaching of the basic notions of ventilation. The structured order method was shown to be an on-site learning opportunity when faced with the need to maintain high-quality CPR in the presence of an expert resuscitator until the arrival of emergency services. Full article

Self-inspection of buildings is the process of controlling the quality of construction work in order to ensure that the specifications are implemented according to the design. Under current practices, self-inspection is totally dependent on the operator’s skills, being a process that can be time-consuming and sometimes difficult to achieve. The Intuitive Self-Inspection Techniques using Augmented Reality (INSITER; for construction, refurbishment and maintenance of energy-efficient buildings made of prefabricated components) project aims to develop a software tool to support construction workers in self-inspection processes, with the overall objective of reducing major errors and extra costs. Nevertheless, one of the challenges is the lack of interoperability between the various equipment used to carry out self-inspection. Devices and current tools deployed on-site do not speak the same language, which leads to a lack of communication. Therefore, this paper presents a framework under which the equipment would be able to send information in a common format. For this purpose, the Industry Foundation Classes (IFC) de-facto standard has been established as a viable data model to represent all the information related to the building project. Along these lines, Building Information Modeling (BIM) information and IFC-compliant databases have been designed for the representation of data coming from Computer-Aided Design (CAD) modeling, laser scanning, thermography and sensor networks. Besides the IFC-data repositories, the framework is a multi-layer architecture with the goal of ensuring interoperability and promoting the stakeholders’ objectives for self-inspection during the entire construction process. Full article

Conventional mine site investigation has difficulties in fostering location awareness and understanding the subsurface environment; moreover, it produces a large amount of hardcopy data. To overcome these limitations, the UMineAR mobile tablet application was developed. It enables users to rapidly identify underground mine objects (drifts, entrances, boreholes, hazards) and intuitively visualize them in 3D using a mobile augmented reality (AR) technique. To design UMineAR, South Korean georeferenced standard-mine geographic information system (GIS) databases were employed. A web database system was designed to access via a tablet groundwater-level data measured every hour by sensors installed in boreholes. UMineAR consists of search, AR, map, and database modules. The search module provides data retrieval and visualization options/functions. The AR module provides 3D interactive visualization of mine GIS data and camera imagery on the tablet screen. The map module shows the locations of corresponding borehole data on a 2D map. The database module provides mine GIS database management functions. A case study showed that the proposed application is suitable for onsite visualization of high-volume mine GIS data based on geolocations; no specialized equipment or skills are required to understand the underground mine environment. UMineAR can be used to support abandoned-mine hazard site investigations. Full article