Two models to describe the phenomenon of corona discharge are presented: the first is known as the plasma model which with plasma chemistry defines the volumetric and surface reactions among charge carriers such as el...
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The classical Fenton oxidation process(CFOP)is a versatile and effective application that is generally applied for recalcitrant pollutant ***,excess iron sludge production largely restricts its widespread *** sludge i...
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The classical Fenton oxidation process(CFOP)is a versatile and effective application that is generally applied for recalcitrant pollutant ***,excess iron sludge production largely restricts its widespread *** sludge is a hazardous solid waste,which is a complex heterogeneous mixture with Fe(OH)3,organic matter,heavy metals,microorganisms,sediment impurities,and *** studies have aimed to utilize specific Fenton sludge resources based on their iron-rich characteristics,few reports have fully reviewed the utilization of Fenton *** such,this review details current sustainable Fenton sludge reuse systems that are applied during wastewater ***,coagulant preparation,the reuse of Fenton sludge as an iron source in the Fenton process and as a synthetic heterogeneous catalyst/adsorbent,as well as the application of the Fenton sludge reuse system as a heterogeneous catalyst for resource *** is the first review article to comprehensively summarize the utilization of Fenton *** addition,this review suggests future research ideas to enhance the cost-effectiveness,environmental sustainability,and large-scale feasibility of Fenton sludge applications.
The social media of X has become a focal point for discussions on sensitive issues, including the Israeli-Palestinian conflict. This research analyzes sentiment toward tweets expressing support for Palestine on X, com...
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Universities heavily depend on information technology to support their academic activities. Universitas Muhammadiyah Semarang (Unimus) currently operates with a total bandwidth of 1.3 Gbps. The primary issue is the cu...
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This paper presents a detailed study of the impact of temperature on the performance of a nonlinear electromagnetic vibration energy harvester, which is applied in autonomous power systems. The variability of material...
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The study of electrostatic precipitators (ESP) is of great importance in powder technology. Different physical and chemical processes occur during its operation. The objective of this investigation is to analyze and o...
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Fulfilling increasing performance demands of space and automotive applications can be problematic as high dependability is required. Memory is one of the most radiationsensitive parts, so it is often protected with in...
Fulfilling increasing performance demands of space and automotive applications can be problematic as high dependability is required. Memory is one of the most radiationsensitive parts, so it is often protected with information redundancy. This paper describes an integration of error correction and detection techniques into the interface of RISC-V processor to protect the data stored in the memory. We also provide a hardware-software interface for reporting errors and software routines for correcting data in memory. Our solution has a negligible impact (-3.9%) on the overall performance of the core with a small area and power consumption overhead.
The Renewable Energy Sources (RES) penetration in the power system of Cyprus has dramatically increased over the last years. As a result, the system is already facing significant challenges limiting the RES hosting ca...
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With the introduction of 5G networks, high-speed low-latency network connections became available for mobile and embedded devices without the limited range of WiFi networks. Although the source and the destination can...
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ISBN:
(数字)9798350378009
ISBN:
(纸本)9798350378016
With the introduction of 5G networks, high-speed low-latency network connections became available for mobile and embedded devices without the limited range of WiFi networks. Although the source and the destination can now be hundreds of kilometres away, the communication between them can be flawless. Our goal is to have a low cost, low power, lightweight device that is able to stream video for UAV (unmanned aerial vehicles), mobile robot teleoperation over 5G networks to AR/VR (augmented/virtual reality) applications, to large distances without the need for line of sight. In this paper we compare the latency of existing low cost video streamer solutions (UAV camera streaming, single board computer) and present a custom hardware-software solution optimized for low latency, while conducting measurements over different network types (wired, campus 5G, public 5G). We have shown that the custom device was able to achieve with significantly lower latency (50–80 ms direct over direct connection, about 100–150 ms over public 5G).
In vitro dissolution prediction is a field of phar-maceutical research that aims to predict a tablet's dissolution profile using non-destructive methods based on the tablet's measured manufacturing parameters ...
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ISBN:
(数字)9798350329520
ISBN:
(纸本)9798350329537
In vitro dissolution prediction is a field of phar-maceutical research that aims to predict a tablet's dissolution profile using non-destructive methods based on the tablet's measured manufacturing parameters or composition. One of the most popular non-destructive measurements is Raman chemical imaging, which outputs a Raman map. However, because of the current development of the Raman imaging technique, obtaining large training datasets is very expensive and time-consuming. Still, training popular complex deep learning architectures that may achieve better accuracy is only possible with a large dataset. Therefore this article focuses on utilising pre-trained networks and the transfer learning technique to attempt to solve the problem of the small size of training samples. The results showed that deep neural networks with data augmentation and transfer learning could achieve better accuracy than simple convolutional neural networks. The presented strategies showed the need for an extensive dataset could be handled, and the accuracy could be enhanced, although there is room for further refinement.
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