19684 research outputs found
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Machining Condition Monitoring Based on the Analysis of On-Rotor Sensing Vibration Signals
No full text
Replication Data for: Thermal Colloid Programming
No full textMeasured response signals and Impedance data for AuNps Colloi
An Enhanced Multi-Target Collision-Free Path Planning Algorithm for UAV Networks
No full textUnmanned Aerial Vehicles (UAVs) provide a wide range of opportunities for the service sector, such as last-mile deliveries, surveillance, and data gathering. Finding an optimal collision-free path is necessary to enable UAVs to complete their mission successfully. However, most of the existing pathplanning solutions focus on a single UAV and a single target only while overlooking the case of a UAV swarm that collaborates to find collision-free service delivery paths spanning multiple targets or points of interest within a three- dimensional (3D) map. Therefore, to overcome this limitation we propose a novel MultiUAV Direct Goal Bias Rapidly Exploring Random Trees Star (MDGB-RRT*) algorithm to provide robust path solutions where multiple UAVs traverse a shared 3D urban environment, with each having unique identified goal positions whilst traversing the map with collision-free guarantees. In contrast to RRT*, MDGB-RRT* directly connects the expanding tree to the target location within a predefined search radius, which reduces both the initial pre-validated path length and computation time. The simulation results obtained show that MDGB-RRT* achieves a notable performance advantage compared to existing algorithms for both single and dual-UAV urbanised 3D environment. In addition, MDGB-RRT* maintains its performance advantages with the introduction of two UAVs within the same environment. <br/
Comparative analysis of drug release kinetics in polyethylene oxide and xanthan gum matrices with various excipients
No full textThis study aimed to investigate the effect of various pharmaceutical excipients on the drug release kinetics of extended-release formulations composed of polyethylene oxide (PEO) and xanthan gum (XG), using propranolol hydrochloride (PPN) as the model drug. The formulations contained different ratios (1 : 3, 1 : 1, and 3 : 1 w/w) of PEO or XG to either lactose, dibasic calcium phosphate (DCP), or microcrystalline cellulose (MCC). Compaction analysis revealed that formulations that contain higher excipient content exhibit increased porosity and decreased hardness values. Contact angle measurements indicated that formulations with higher excipient content, particularly with lactose, displayed lower contact angles, which is indicative of increased hydrophilicity. After the in vitro dissolution studies were conducted, the dissolution efficiency (DE), mean dissolution time (MDT), mean dissolution rate (MDR), and similarity factors (f2) were analysed. The findings showed that a higher amount of lactose in both PEO and XG formulations resulted in faster drug release, with the PEO : lactose 1 : 3 ratio achieving the highest DE (64 ± 8%) and the shortest MDT (77 ± 10 min). Similarly, the XG : lactose 1 : 3 ratio exhibited the highest DE (61 ± 2%) and fastest MDR (0.20 ± 0.01% min−1), although the effect was less pronounced compared to PEO formulations. The kinetic analysis showed that most PEO formulations followed the Peppas model, indicating non-Fickian transport driven by both diffusion and polymer erosion mechanisms. However, most of the XG formulations followed the Higuchi model. The similarity factors (f2) revealed the influence of excipient type and ratio on the dissolution profiles. Formulations containing a higher amount of MCC displayed higher similarity with the pure polymer profiles. These results give important insights into how excipients can be used to optimise polymeric matrices to regulate drug release in extended-release formulations.</p
we all speak at once (2025)
No full textIn 2006, I exhibited a work titled ‘Portable Memorial’, which was a book of souls for the internet age. It served as a record of deaths, broken dreams, failed enterprises, and the shifting currents of life online. The book listed 209,444 lapsed domain names from the period 16 May 2000 to 8 May 2001. Viewers were invited to highlight individual names as acts of remembrance. When I began to create scrolls, I revisited the idea of text-based memorials. My aim was to evoke complex narratives through simple typographic means. The complexity is provided by generative/computational processes. I often use custom code and graphic software to redraw words repeatedly in layered compositions, producing dense asemic texts. Applying this technique to another list of names felt like a meaningful act. I chose a list of 5,000 Holocaust victims, published by the United States Holocaust Memorial Museum, intended for name-reading memorial events. Each name is accompanied by either a country of origin or a known site of their death. In this work, the site names are redacted with black ink, allowing the memorial to communicate with minimal contextual framing
In Silico Competition: IFF Message to Man:We Made Telephones
No full textInternational premiere and screenings of creative archive documentary WE MADE TELEPHONES at St. Petersburg's IFF Message to Man in competition in the In Silico Competition of Experimental Short Film
Monitoring scour pits around offshore wind turbine foundations for enhanced maintenance
No full textMonitoring scour pits around offshore wind turbine foundations is crucial for their safety and longevity. Currently popular methods include sonar detection and diver surveys. Sonar offers high-resolution three-dimensional (3D) mapping but is prone to be affected by water turbidity and rough seas especially under extremely turbid conditions. Diver surveys provide detailed inspections but are limited by water depth, weather, and high labour costs. The most crucial point is that neither of them can provide continuous, all-weather monitoring of the scour pits. To address this issue, this paper introduces a new scour pit monitoring technique for integration into a seabed Autonomous Underwater Vehicle (AUV). It includes a novel calibration method for underwater binocular cameras and a precise real-time key point detection method, SimCC-MobileNetV3, for detecting the deepest point of the scour pit. Laboratory tests confirm the technique's accuracy and speed, achieving an impressive overall speed of 9.8 frames per second, with a Root Mean Square Error of merely 0.77 mm
A multi-phase analytics framework for supply chain supplier selection and order allocation with delay risks and Industry 4.0 readiness
No full textNumerous studies have addressed the Supplier Selection and Order Allocation (SSOA) problem, focusing on optimal quantity allocation. However, in practice, suppliers often fail to deliver allocated quantities on time due to operational delays or disruptions. Thus, incorporating supplier delays into order allocation decisions is essential. This paper introduces a multi-phase optimization framework that integrates the impact of delays into the SSOA process. In the initial phase, several Machine Learning (ML) algorithms are employed to predict delay probabilities at the order level. This study is the first to utilize ML-based delay probability predictions - rather than binary classification (on-time vs. delayed) - to determine optimal supplier allocations. The algorithms are evaluated using performance metrics such as accuracy, F1 score, precision, recall, and AUC, with TOPSIS used to select the most effective algorithm. Predicted probabilities are then aggregated to the supplier level for integration into the optimization model. Given the growing importance of Industry 4.0, the framework incorporates an Industry 4.0 Readiness Index (IRI), constructed using linguistic terms and interval numbers to handle subjective evaluations. The SWARA method is used to assign weights to evaluation criteria. These elements are embedded in a bi-objective optimization model, solved via the augmented ε-constraint method, aiming to minimize supply chain costs while maximizing suppliers' IRI scores. A numerical example based on a real-world case study validates the approach. Results show significant changes in supplier allocations when delay probabilities are considered, with a 4.84 % increase in total supply chain cost, primarily due to increased procurement in certain periods
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