During the current COVID-19 pandemic, older people are encouraged to use information, communication and technology in their everyday lives and discouraged from physical interactions. In Malaysia, it shows that impleme...
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Predicting the severity of hand injuries in emergency care is the focus of this study, which suggests using cloud-based Bayesian networks. It is crucial to have accurate severity prediction in order to treat emergency...
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In today's fast-paced business environment, making informed decisions is crucial for success. To achieve this, decision-makers are increasingly turning to data-oriented and business intelligence databases. As a re...
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This paper presents an all-encompassing exploration on the conception and implementation of sturdy and impregnable decentralized autonomous organizations (DAOs) custom-made for the Metaverse, capitalizing on the capab...
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In the field of autonomous Unmanned Aerial Vehicles (UAVs) landing, conventional approaches fall short in delivering not only the required precision but also the resilience against environmental disturbances. Yet, lea...
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ISBN:
(数字)9798331516239
ISBN:
(纸本)9798331516246
In the field of autonomous Unmanned Aerial Vehicles (UAVs) landing, conventional approaches fall short in delivering not only the required precision but also the resilience against environmental disturbances. Yet, learning-based algorithms can offer promising solutions by leveraging their ability to learn the intelligent behaviour from data. On one hand, this paper introduces a novel multimodal transformer-based Deep Learning detector, that can provide reliable positioning for precise autonomous landing. It surpasses standard approaches by addressing individual sensor limitations, achieving high reliability even in diverse weather and sensor failure conditions. It was rigorously validated across varying environments, achieving optimal true positive rates and average precisions of up to 90%. On the other hand, it is proposed a Reinforcement Learning (RL) decision-making model, based on a Deep Q-Network (DQN) rationale. Initially trained in simulation, its adaptive behaviour is successfully transferred and validated in a real outdoor scenario. Furthermore, this approach demonstrates rapid inference times of approximately 5ms, validating its applicability on edge devices.
This paper focuses on a performance enhancement of communication performance by compressing data stream. ASE coding is an effective lossless data compression method for data stream. The software implementation of the ...
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This research introduces a groundbreaking, high-efficiency adsorbent for the remediation of mercury ion contamination in industrial wastewater effluents. A novel chelating polymer, 2-Mercapto-N-methylbenzamide-functio...
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This research introduces a groundbreaking, high-efficiency adsorbent for the remediation of mercury ion contamination in industrial wastewater effluents. A novel chelating polymer, 2-Mercapto-N-methylbenzamide-functionalized polyvinyl amine (PVAm-MMB), was synthesized via a facile acid-catalyzed condensation reaction, strategically incorporating amine, imine, and thiol functionalities to facilitate robust mercury sequestration. Rigorous structural characterization was undertaken utilizing a comprehensive suite of analytical techniques, including elemental CHNS analysis, FTIR spectroscopy, NMR spectroscopy, SEM-EDX microscopy, BET surface area analysis, GC–MS spectrometry, TGA analysis, and XPS spectroscopy, definitively confirming the desired structural attributes of the synthesized material. Subsequent adsorption studies demonstrated the exceptional performance of the mesoporous PVAm-MMB, exhibiting a significant specific surface area (SBET) of approximately 73.7 m2/g, a total pore volume (Vm) of approximately 0.31 cm3/g, and an average pore width of approximately 21.4 nm. Remarkably, the PVAm-MMB achieved a maximum adsorption capacity of approximately 62.9 mg/g under optimized conditions (pH 4.5, 25 °C, 20 min contact time, 1 g/L adsorbent concentration, and 200 mg/L Hg2+ initial concentration). Langmuir isotherm modeling provided a superior fit to the experimental adsorption data compared to the Freundlich model, indicating a monolayer adsorption mechanism. Furthermore, pseudo-first-order kinetics accurately described the adsorption process;the calculated value for qe,1 was 49.88 mg/g, which is quite aligned with the actual value of 48.6 mg/g. Thermodynamic analyses revealed the adsorption process to be spontaneous, exothermic (ΔH = −88.07 kJ/mol), and thermodynamically favored at lower temperatures. A plausible adsorption mechanism is proposed, and importantly, the adsorbent demonstrated excellent reusability. The efficacy of the PVAm-MMB was validated through t
We introduce a construction of oriented matroids from a triangulation of a product of two simplices. For this, we use the structure of such a triangulation in terms of polyhedral matching fields. The oriented matroid ...
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Monitoring sugar concentration during fermentation is crucial for producing high-quality alcoholic beverages. Traditional methods for measuring sugar concentration can be costly and time-consuming, especially for smal...
Monitoring sugar concentration during fermentation is crucial for producing high-quality alcoholic beverages. Traditional methods for measuring sugar concentration can be costly and time-consuming, especially for small-scale producers. In this study, we developed a low-cost buoyant force measurement device for monitoring sugar concentration in water solutions. The device consists of a buoyant object fully submerged in the solution and connected to a load-cell sensor. As the sugar concentration in the liquid increases, the buoyant force on the object increases, and the load-cell measures this force. Proposed device is calibrated using solutions of known sugar concentrations and its high accuracy and precision is presented. The device is tested in controlled environment to ensure accurate tracking changes in sugar concentration over time. Proposed device can be a valuable tool for small-scale producers looking to optimize their fermentation processes while minimizing costs.
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