bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wavelet-fused richer convolution feature for multiphase flow visual monitoring of oil and gas production processes
Authors: Li Lipin , Zhang Pengli , Huang Yanqun , Dang Bo , Yang Pei , Hu Yuexin , Dang Ruirong 
Published: August 2022

Abstract
Multiphase flow monitoring of the oil and gas production process is of great significance to the safety of oil and gas exploitation and production. Electrical capacitance tomography (ECT) is one of the most attractive technologies in the field of multiphase flow measurement due to the advantages of its non-radioactive and non-contact properties, good visualization, and low cost. We propose a reconstruction algorithm based on wavelet and richer convolution feature (W-RCF) for solving the problem of artifacts and edge blurring in ECT imaging. In the algorithm, the two-channel source images of Tikhonov regularization and Landweber are simultaneously decomposed by a three-level wavelet. On this basis, an image fusion rule combining Bayesian decision and maximum entropy threshold is established to optimize the wavelet coefficients at each scale. The rule can reduce image artifacts and compensate for the defects in the source images. Afterward, the fused images are input to the RCF network for training and testing, and ECT reconstructed images with higher quality are obtained. Based on the simulation and experimental results, it can be seen that the image reconstruction quality of W-RCF is significantly better than that of the linear back projection, Tikhonov regularization, Landweber, and convolutional neural network algorithms. Therefore, the W-RCF algorithm has higher accuracy and stronger adaptability for multiphase flow under different flow patterns, which provides an effective method of ECT image reconstruction and is more suitable for visual monitoring of multiphase flow in the oil and gas production process.
Study on the microstructure of the symbiosis of coal-based graphene and coal-based graphene quantum dots: preparation and characterization
Authors: Li Ruiqing , Tang Yuegang , Che Qili , Huan Xuan , Ma Pengliang , Luo Peng , Mao Xingjun 
Published: August 2022

Abstract
Coal-based graphene sheets (GS) and coal-based graphene quantum dots (GQDs) are usually prepared separately. In this paper, symbiosis of coal-based GS and coal-based GQDs was successfully prepared with our proposed preparation method by using three raw coals with different reflectance (collected from Qinshui coalfield, Shanxi Province) as carbon sources. The results showed that coal-based GS and coal-based GQDs can exist stably in the symbiosis and are distributed in different layers, and the GQDs are freely distributed between layers of GS. The average number of GS (N
ave) in the three symbiosis is about 7 and the average interlayer spacing (d
002) is about 0.3887 nm. The average diameter of GQDs in the three symbiosis is about 4.255 nm and the average d
002 is about 0.230 nm. The average N
ave of the three symbiosis was about 3 and the average d
002 is about 0.361 nm. The morphology and crystal parameters of symbiosis is more similar to that of graphene, the elements are only carbon and oxygen. In the prepared symbiosis, the higher the reflectance of raw coal, the smoother the lattice skeleton and the less vortex-layer structure of GS, and the larger the diameter and the denser the six membered ring of GQDs. The C and O functional groups of the prepared symbionts are similar. The higher the reflectance of coal, the higher the content of C–C/C=C. Under ultraviolet light, the prepared products all emit blue, and the higher the reflectance of coal, the higher the ultraviolet absorption, and the stronger the fluorescence intensity.
Defect seeded remote epitaxy of GaAs films on graphene
Authors: Zulqurnain Muhammad , Burton Oliver J , Al-Hada Mohamed , Goff Lucy E , Hofmann Stephan , Hirst Louise C 
Published: August 2022

Abstract
Remote epitaxy is an emerging materials synthesis technique which employs a 2D interface layer, often graphene, to enable the epitaxial deposition of low defect single crystal films while restricting bonding between the growth layer and the underlying substrate. This allows for the subsequent release of the epitaxial film for integration with other systems and reuse of growth substrates. This approach is applicable to material systems with an ionic component to their bonding, making it notably appealing for III–V alloys, which are a technologically important family of materials. Chemical vapour deposition growth of graphene and wet transfer to a III–V substrate with a polymer handle is a potentially scalable and low cost approach to producing the required growth surface for remote epitaxy of these materials, however, the presence of water promotes the formation of a III–V oxide layer, which degrades the quality of subsequently grown epitaxial films. This work demonstrates the use of an argon ion beam for the controlled introduction of defects in a monolayer graphene interface layer to enable the growth of a single crystal GaAs film by molecular beam epitaxy, despite the presence of a native oxide at the substrate/graphene interface. A hybrid mechanism of defect seeded lateral overgrowth with remote epitaxy contributing the coalescence of the film is indicated. The exfoliation of the GaAs films reveals the presence of defect seeded nucleation sites, highlighting the need to balance the benefits of defect seeding on crystal quality against the requirement for subsequent exfoliation of the film, for future large area development of this approach.
Cavity spectral-hole-burning to boost coherence in plasmon-emitter strong coupling systems
Authors: Zhou Wen-Jie , You Jia-bin , Xiong Xiao , Lu Yu-Wei , Ang Lay Kee , Liu Jing-Feng , Wu Lin 
Published: August 2022

Abstract
Significant decoherence of the plasmon-emitter (i.e., plexcitonic) strong coupling systems hinders the progress towards their applications in quantum technology due to the unavoidable lossy nature of the plasmons. Inspired by the concept of spectral-hole-burning (SHB) for frequency-selective bleaching of the emitter ensemble, we propose ‘cavity SHB’ by introducing cavity modes with moderate quality factors to the plexcitonic system to boost its coherence. We show that the detuning of the introduced cavity mode with respect to the original plexcitonic system, which defines the location of the cavity SHB, is the most critical parameter. Simultaneously introducing two cavity modes of opposite detunings, the excited-state population of the emitter can be enhanced by 4.5 orders of magnitude within 300 fs, and the attenuation of the emitter’s population can be slowed down by about 56 times. This theoretical proposal provides a new approach of cavity engineering to enhance the plasmon-emitter strong coupling systems’ coherence, which is important for realistic hybrid-cavity design for applications in quantum technology.
Superdense beaming of axion dark matter in the vicinity of the light cylinder of pulsars
Authors: De Miguel Javier , Otani Chiko 
Published: August 2022

AbstractIn this article we treat the non-adiabatic photon-to-axion resonant conversion of curvature radiation, synchrotron emission and inverse Compton scattering dominating the spectral density function of pulsars. First, we introduce emission models and benchmark observational data. We adopt a state-of-the-art density profile that relieves tension with the quantum electrodynamics vacuum polarization effect in highly magnetic stars, leading to efficient mixing. Then, we estimate the dark matter flux induced by photon-axion oscillation across the light cylinder of the neutron star. We find that pulsars might produce axion overdensities many orders of magnitude over the occupation number of dark matter in the Galactic halo within a broad parameter space. We point out possible new methods for axion detection derived from these results and other future lines of work.
Secondary GWs and PBHs in string inflation: formation and detectability
Authors: Cicoli Michele , Pedro Francisco G. , Pedron Nicola 
Published: August 2022

Abstract
We derive the spectrum and analyse the detectability prospects of secondary gravity waves (GWs) associated to primordial black hole (PBH) production in a class of string inflationary models called Fibre Inflation. The inflationary potential features a near inflection point that induces a period of ultra slow-roll responsible for an enhancement of the scalar perturbations which can lead to PBHs with different masses and contributions to dark matter (DM) in agreement with current observational bounds, including CMB constraints on the scalar spectral index and the tensor-to-scalar ratio. This enhancement of the curvature perturbations sources secondary GWs which can be detected by either LISA, ET or BBO, depending on the GW frequency but regardless of the amount of PBH DM since secondary GWs remain detectable even if the PBH contribution to DM is exponentially suppressed. The possibility to see a secondary GW signal is instead due to the presence of an ultra slow-roll epoch between CMB horizon exit and the end of inflation.
Multi-frequency switch and excellent slow light based on tunable triple plasmon-induced transparency in bilayer graphene metamaterial
∗
Authors: Zhou Xianwen , Xu Yiping , Li Yuhui , Cheng Shubo , Yi Zao , Xiao Guohui , Wang Ziyi , Chen Zhanyu 
Published: August 2022

Abstract
We propose a novel bilayer graphene terahertz metamaterial composed of double graphene ribbons and double graphene rings to excite a dynamically adjustable triple plasma-induced transparency (PIT) effect. The coupled mode theory (CMT) is used to explain the PIT phenomenon, and the results of the CMT and the finite-difference time-domain simulation show high matching degree. By adjusting the Fermi levels of graphene, we have realized a penta-frequency asynchronous optical switch. The performance of this switch, which is mainly manifested in the maximum modulation depth (MD = 99.97%) and the minimum insertion loss (IL = 0.33 dB), is excellent. In addition, we have studied the slow-light effect of this triple-PIT and found that when the Fermi level of graphene reaches 1.2 eV, the time delay can reach 0.848 ps. Therefore, this metamaterial provides a foundation for the research of multi-frequency optical switches and excellent slow-light devices in the terahertz band.
Embedded Control and Remote Monitoring for Photovoltaic Solar Energy Harvesting Systems: A Review
Authors: Wei Chang Clifford Choe , Ding Tan Jian , Tak Yaw Chong , Siaw Paw Johnny Koh , Phing Chen Chai 
Published: August 2022

Abstract
With fossil fuel sources diminishing and climate issues getting more and more serious each year, researchers around the world have been turning their attention to more sustainable and environmental friendly energy sources. While many new renewable energy sources emerge, solar remains as a popular and rapidly researched source. The efficiency and robustness of a solar energy conversion system is highly reliant on the continuous improvements and development in several aspects. Among others, is the monitoring and control system. The past few decades witness some rapid growth in the research and enhancements in embedded control and monitoring systems for photovoltaic solar systems. In this paper, a review on various developments of embedded monitoring and control systems for photovoltaic energy conversion systems is presented. The purpose of this article is to shed a better light on relevant techniques and methods. A number of research articles are reviewed and categorized based on the focus and mechanisms presented. A comprehensive study is carried out to reveal the improvement claims, outcomes, discoveries, and trade-offs of the techniques found in the literature, and a comprehensive conclusion is drawn at the end of the article.
Automatic Machine System for Traditional Kuih Ros
Authors: Mat Tahir Nurul Huda , Mohamad Safuan Naim , Azimi Farah Hanan , Rahman Nazry Abdul , Wan Fauzi Wan Muhammad Hafyiez 
Published: August 2022

Abstract
Mechanization and automation are two technologies that have the potential to propel the country’s agro-food sector forward. The application of the technology will provide a consistent supply of high-quality products while lowering production costs, increasing production rates, and reducing labour costs. In accordance to the current demand, this research aims to develop a conceptual design of automatic machine for traditional malay food called as ‘Kuih Ros’. Manually ‘Kuih Ros’ only can produced one at a time with repeated process of dipping, frying, lifting and dispensing by single operator. The inovation of automatic ‘kuih ros’ revoke the manual production which is less laborious with combined attached mould. While the automatic dispensing system affluence the machine’s user and ensuring consistent quality production of ‘Kuih Ros’. This machine is automatic and only requires single operator to control it. The construction of whole design consists of components such as gears, four DC motors, heating element, aluminium food grade machine body, electrical power supply and arduino as controller. This special focus is given to food industries especially the small-medium enterprises (SMEs) as mechanization will help them for larger scale production, hence opening opportunity for bigger market.
Application of Machine Learning Technique Using Support Vector Machine in Wind Turbine Fault Diagnosis
Authors: Binti Shahrulhisham Nur Nalisa Hanim , Chong Kok Hen , Yaw C. T. , Koh S. P. 
Published: August 2022

Abstract
Wind energies are one of the most used resources worldwide and favours the economy by not emitting harmful gases that could lead to global warming. It is a cost-efficient method and environmentally friendly. Hence, explains the popularity of wind energy production over the years. Unfortunately, a minor fault could be contagious by affecting the nearby components, then a more complicated problem might arise, which may be costly. Thus, this article conducted a machine learning technique, support vector machine (SVM) to monitor the health of the wind turbine system by classifying the class of healthy data and faulty data. Some SVM types were experimented with, including Linear, Quadratic, Cubic, Fine Gaussian, Medium Gaussian, and Coarse Gaussian. Then these models were trained under different validation schemes that are cross-validation, holdout validation, and re-substitution validation as an approach to evaluate the performance of each model. In the end, Cubic SVM is proven to outperformed other models under the provision of 10-fold cross-validation with an accuracy of 98.25%. The result showed that Cubic SVM has the best performance while Linear SVM has the least accuracy among other models. Hence choosing the default value is preferred as the final product to diagnose the fault in wind turbine systems.
Cutting Force Measurement using Strain Gauge and Arduino for Monitoring of Turning Tool Post
Authors: Othman Wan Zulkarnain , Ramli Ahmad Fikri , Mamat Nor Hana , Abd Aziz Mohamad Redhwan 
Published: August 2022

Abstract
The purpose of this project is to develop the measurement instrument of cutting force for turning tool post using strain gauge and Arduino. The forces developed when the tools are in contact with the work pieces are captured and transformed into the numerical form system. The captured cutting force signal were then amplified, undergo signal conditioning and converted to digital signals to be read by Arduino. After calibration tests on the x and y directions, with calculations, the corresponding force readings are obtained and displayed for real time monitoring. The results obtained proved its reliability and effectiveness for measuring cutting forces and displayed on a PC for monitoring purposes.
Development of a Weather Station with Water Level and Waterflow Detection using Arduino
Authors: Mamat Nor Hana , Shazali Hafiz Asyraf , Othman Wan Zulkarnain 
Published: August 2022

AbstractWeather data monitoring is important due to the drastic changes of weather around the world in recent years. Weather-related parameters are commonly measured using weather stations. Low-cost Arduino based weather station is suitable for public use to monitor local weather conditions in the vicinity of their residential area. This will enable quick response in natural disaster caused by the weather. In this work, the integration of water level and waterflow rate detection to the weather station allows hydrological data measurement in addition to the meteorological data. This capability makes the weather station suitable for further expansion into a wireless sensor network for flood monitoring and prediction. This weather station was developed using NodeMCU ESP32 microcontroller, ultrasonic sensor, BMP280 sensor, rain sensor and waterflow sensor. The remote data monitoring capability was realized using Blynk IoT platform. A prototype of this weather station was developed and tested in a simulated environment. Results show that this weather station is able to provide good measurement of meteorological and hydrological data.
QoS Performance Evaluation of IoT-based Virtual Private Network for UAV Video
Authors: Hassan Aslinda , Mat Rawi Muhammad Helmi Aqmar , Mas’ud Mohd Zaki , Abu Maisarah , Zakaria Zahriladha , Mansourkiaie Fatemeh 
Published: August 2022

Abstract
Unmanned Aerial Vehicles (UAVs) are popular and are used for surveillance and safety purposes, thus often include live video streaming. An attacker with knowledge of the flight controller’s settings can intercept the camera footage/stream. A virtual private network (VPN) connection is considered as one of the solutions in preventing unauthorised interception, but with a cost. In providing end-to-end encryption connection, the VPN connection can slow the wireless connection speed and, thus, impact the real-time streaming. This article describes the implementation of the IoT-based live video streaming system with VPN and analyses the live streaming performance based on quality of service (QoS) measurements. Comparative analysis between video streaming with and without VPN is presented.
COVID-19 Patient Under Investigation Self-Monitoring Mobile Application: Development and Implementation
Authors: Wan Mohamed Wan Ainul Alyani , Firas Zakey Muhammad Aqil , Sulaiman Noor Suhana 
Published: August 2022

Abstract
This research aims to develop a mobile application for Covid-19’s Patient Under Investigation (PUI) Self-Monitoring (PUISM). The intended audience for this project is PUI cases, specifically (Covid-19) cases. The application was developed for PUI self-health monitoring in order to keep doctors, nurses, and administrators updated about their health status. As a method, the ADDIE model was used in this project. The ADDIE model was employed in this project as an approach. Five phases comprise the ADDIE method: Analysis, Design, Development, Implementation, And Evaluation. During the design phase, the developer will produce a prototype of mobile applications for PUI that will achieve the patient’s goals and patient requirements. The developer can then create mobile applications that follow the prototype’s design. During the implementation phase, the developer will publish the mobile application. The developer will then collect feedback, analyze the effectiveness of the mobile application for PUI, and determine whether the application is entirely functional or not. Finally, our endeavour benefits all frontlines by supporting them in tracking PUI that meet the criteria for Covid-19 occurrences. Additionally, this treatment reduces the transmission of infection Covid-19 to lessen the burden on the health care system and improve home self-monitoring.
Low noise optimization of an electron beam current transformer for conventional radiotherapy up to ultra high dose rate irradiations
Authors: Lahaye C. , Fontbonne J.-M. , Salvador S. 
Published: August 2022

Abstract
Ultra high dose rate electron beams also known as FLASH radiotherapy is becoming of importance in several preclinial cancer treatment studies. However, due to the dose rate used during the irradiation sessions, no real time dose monitoring device exists to date. In this work, we present the development of a beam current transformer (BCT), from the choice of the ferromagnetic component and the realisation of the shielding to the design of a front-end electronics based on a trans-impedance circuit in order to perform a low noise optimization of the detector. The BCT prototype is able to monitor a beam current range from 1.2 μA to 200 mA with a rise time constant better than 20 ns and a droop rate of the signal below 0.05% · μs-1. Preliminary in-situ measurements are also presented. The goal is to combine the BCT system which measure in real time the beam current, to an ionisation chamber monitoring the beam shape and position in order to provide a reliable dose monitoring system.
Development of a capillary plate based fiber-structured ZnS(Ag) scintillator
Authors: Yamamoto Seiichi , Kamada Kei , Yoshino Masao , Yoshikawa Akira , Sunaguchi Naoki , Kataoka Jun 
Published: August 2022

Abstract
Silver-doped zinc sulfide (ZnS(Ag)) is an opaque powder
scintillator that is mainly used for detection or imaging of charged
particles such as alpha particles. Since ZnS(Ag) is not
transparent, the thickness of ZnS(Ag) was limited to
∼10 μm. If a thicker ZnS(Ag) scintillator could be
developed, it would be useful for studies such as high-energy
particle ion detection as well as beta particle or gamma photon
detection. We developed a ZnS(Ag) fiber-structured scintillator
using a capillary plate in which ZnS(Ag) powder was encapsulated in
the capillaries. The thickness of the capillary plate was
400 μm, and the light produced in ZnS(Ag) escaped from the
capillaries, spread through the transparent lead glass area, and
reached the opposite side of the plate; consequently, the opaque
character and absorption of light could be avoided. The amount of
light emitted from the capillary plate based fiber-structured
ZnS(Ag) was almost the same as that of a commercially available ZnS
(Ag) film, but the detection efficiency was about 1/5 (∼
20%). The amount of light emitted from beta particles and gamma
photons per MeV was less than 1% of that from alpha particles. The
spatial resolution of the developed capillary plate based
fiber-structured ZnS(Ag) scintillator for 5.5 MeV alpha particles
was ∼200 μm FWHM. Imaging of the slits and light spots
from alpha particles could be achieved with the developed
scintillator combined with an electron-multiplied charge-coupled
device (EM-CCD) camera. The developed capillary plate based
fiber-structured ZnS(Ag) will be useful for detecting high-energy
particle ions.
Application of cellulose of Boehmeria nivea as natural flocculants in direct flocculation
Authors: Fauzani D , Notodarmojo S , Handajani M , Helmy Q , Kardiansyah T 
Published: August 2022

Abstract
The use of cellulose which is a natural polymer as a flocculant has been widely used, however, the extraction of cellulose from plants has not been widely studied, particularly extracted from Boehmeria nivea (ramie). In this research, the stem of ramie came from the waste of textile raw material. The isolation of α-cellulose is done through pre-hydrolysis, delignification, and bleaching processes. In this research, there are 6 types of α-cellulose that are isolated from the stem of ramie, depending on the sodium hydroxide concentration in the delignification process. The isolated α-cellulose is characterized using Fourier-transform infrared spectroscopy (FTIR) and tested its flocculation ability through jar-test apparatus with 5 gr/L kaolin suspension as synthetic water samples and turbidity as the test parameter. The coagulation-flocculation experiments were carried out without the addition of a coagulant, which is called the direct flocculation method. Data analysis was performed by One-Way ANOVA statistical analysis, with Duncan’s multiple range test as the post-hoc analysis. It is concluded that cellulose is a good candidate biomaterial for natural flocculants in removing turbidity and further modification of α-cellulose with cationic grafts will be carried out for the next stage of research.