Search Results (4)

An increase in aircraft availability and readiness is one of the most desired characteristics of aircraft fleets. Unforeseen failures cause additional expenses and are particularly critical when thinking about combat jets and Unmanned Aerial Vehicles (UAVs). For instance, these systems are used under extreme conditions, and there can be situations where standard maintenance procedures are impractical or unfeasible. Thus, it is important to develop a Health and Usage Monitoring System (HUMS) that relies on diagnostic and prognostic algorithms to minimise maintenance downtime, improve safety and availability, and reduce maintenance costs. In particular, within the realm of aircraft structures, landing gear emerges as one of the most intricate systems, comprising several elements, such as actuators, shock absorbers, and structural components. Therefore, this work aims to develop a preliminary digital twin of a nose landing gear and implement diagnostic algorithms within the framework of the Health and Usage Monitoring System (HUMS). In this context, a digital twin can be used to build a database of signals acquired under healthy and faulty conditions on which damage detection algorithms can be implemented and tested. In particular, two algorithms have been implemented: the first is based on the Root-Mean-Square Error (RMSE), while the second relies on the Mahalanobis distance (MD). The algorithms were tested for three nose landing gear subsystems, namely, the steering system, the retraction/extraction system, and the oleo-pneumatic shock absorber. A comparison is made between the two algorithms using the ROC curve and accuracy, assuming equal weight for missed detections and false alarms. The algorithm that uses the Mahalanobis distance demonstrated superior performance, with a lower false alarm rate and higher accuracy compared to the other algorithm. Full article

Online content can have unique cultural value. It is certainly the case for digital representations of folklore found on websites related to rural tourism, including agritourism. It is true for both archaic websites, copies of which are found in digital archives, and modern websites. The purpose of this paper is to assess the frequency of ready-made digital components and rustic folklore on agritourism farms’ websites. The exploration and comparative analysis involved 866 websites from two independent sets: (1) archaic websites, copies of which are available in the Internet Archive and (2) currently operational websites published in the Polish ccTLD (country code top-level domain). We employed HTML code exploration to verify the websites’ development technique and their selected characteristics, including content management systems (CMSs) and responsiveness. In the set of the ccTLD websites, we recorded such design attributes as the type of graphic layout, hero image, and parallax scrolling. The research demonstrated that ready-made folklore graphics were relatively rare among the investigated websites. Elements of rustic cyberfolklore were found only on 17 archaic websites (approx. 4%) and 52 ccTLD websites (approx. 12%). They were most often Kashubian patterns. The research suggests that rustic cyberfolklore is most often found on websites of agritourism farms in areas where local communities and ethnic groups are particularly active and strongly identify with regional traditions. Full article

The convergence of information technology, media, and telecommunications has altered consumer behavior in terms of searching, obtaining, processing, and responding to a company’s information or services. The ability of a company to plan, implement, and manage digital marketing to increase its competitiveness in the eyes of consumers is referred to as digital marketing capability. This research presents a digital marketing utilization index (DMUI) to evaluate and improve a company’s digital marketing capability. DMUI is made up of three components: the innovation ecosystem readiness, the adoption of digital marketing technology, and the company’s digital transformation. Based on data from 217 companies in Indonesia, the results show that the DMUI of companies in Indonesia has an average of 71.97, indicating that the level of digital marketing capabilities of companies in Indonesia is in the medium category. They can improve their digital marketing capabilities by increasing the role of managerial innovativeness, organizational readiness, and perceived usefulness. Furthermore, businesses must carry out digital transformation by governing the transformation and reinvention of new business models. Finally, in addition to implementing digital marketing via websites, social media, mobile marketing, and content marketing, they must emphasize the importance of digital analytics, digital CRM, digital advertising, and display advertising to improve their company’s digital marketing capabilities. Full article

During the last years commercial hyperspectral imaging sensors have been miniaturized and their performance has been demonstrated on Unmanned Aerial Vehicles (UAV). However currently the commercial hyperspectral systems still require minimum payload capacity of approximately 3 kg, forcing usage of rather large UAVs. In this article we present a lightweight hyperspectral mapping system (HYMSY) for rotor-based UAVs, the novel processing chain for the system, and its potential for agricultural mapping and monitoring applications. The HYMSY consists of a custom-made pushbroom spectrometer (400–950 nm, 9 nm FWHM, 25 lines/s, 328 px/line), a photogrammetric camera, and a miniature GPS-Inertial Navigation System. The weight of HYMSY in ready-to-fly configuration is only 2.0 kg and it has been constructed mostly from off-the-shelf components. The processing chain uses a photogrammetric algorithm to produce a Digital Surface Model (DSM) and provides high accuracy orientation of the system over the DSM. The pushbroom data is georectified by projecting it onto the DSM with the support of photogrammetric orientations and the GPS-INS data. Since an up-to-date DSM is produced internally, no external data are required and the processing chain is capable to georectify pushbroom data fully automatically. The system has been adopted for several experimental flights related to agricultural and habitat monitoring applications. For a typical flight, an area of 2–10 ha was mapped, producing a RGB orthomosaic at 1–5 cm resolution, a DSM at 5–10 cm resolution, and a hyperspectral datacube at 10–50 cm resolution. Full article