bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvement of Hybrid Energy Storage Wireless Charging System Performance and Efficiency
Authors: Liew H F , Chong K H , Fahmi M I , Ezanuddin A A M , Junaidah A M J , Norhanisa K 
Published: August 2022

Abstract
To reduce pollution due to the use of conventional fossil fuel, many transportations are going to be electrified, environmental-friendly and zero-emission energy. Among countries with the most electric vehicle user are United State, Norway, and China. About 100,000 of charging outlet for electric vehicle (EV) in United States had been installed to increase the market demand of electric vehicle. As an essential step, the introduction battery is used as the main energy storage for EV, but it weighs heavily and expensive in price as caused by the increased energy storage capacity and improved EV performance. Lifespan of the battery will reduce as it needs to provide high demand of current in acceleration. There is a possibility for the contact charging to cause short circuit during raining as some of the charging port is exposed at open area. The aim of this research is to design a hybrid energy storage system (HESS) of wireless charging system with charge monitor in EV application. The energy storage types chosen were three series 3.7 V, 2000 mAh at 18650 lithium-ion batteries and five series 2.7 V with 50 F ultracapacitors arranged in passive configuration. The system was designed and simulated with Simulink from MATLAB and Proteus 8 to analyse the HESS and the performance of the wireless charging system. The charging time and discharging time of HESS was estimated. The wireless charging system was designed with the output voltage range of 5 V to 13 V and the output current range of 0.5 A to 2.0 A.
Analysis of Non-Invasive Fingerprint Thickness Based Authentication Method Utilizing Near Infrared Spectroscopy
Authors: Tajul Ariffin Q A , Sulaiman N 
Published: August 2022

Abstract
Fingerprints are a popular method of biometric based authentication. However, methods currently in use are susceptible to being bypass through the use of forgeries of the fingerprint pattern. Measuring the epidermal thickness of the fingerprint is a solution to the issue, as there are no current ways for a third-party to precisely replicate the thickness measurements. Near-Infrared Diffused Reflectance (NIR-DR) spectroscopy is the proposed method of measuring fingerprint thickness. Reflectance reading is taken at 5 specific wavelength points to generate a simplified plot for comparison. Thickness measurement is gauged by calculationg change in reflectance percentage between the 800-900nm range. Data gathered showed variation in the reflectance spectra that was unique to each subject. Application for a fingerprint thickness-based authentication method is plausible but require additional research with a larger population sample and looking into the effects of age and skin colour for their effect on epidermal thickness.
Development of Machine Learning models using WEKA for Atmospheric Data
Authors: Venkata Ramana Moorthy P , Sarojamma B , Reddy S Venkatramana 
Published: August 2022

Abstract
There are number of Atmospheric variables such as rainfall, temperature, wind speed, humidity, visibility, Wind gust, Precipitation, etc. For learning covariance of machines by principles, practical and probabilistic approaches are made using Gaussian process. In this paper by taking visibility, time with date, temperature as independent or responding variables and wind speed as dependent or response variable, we fit Gaussian process model. K star is an instance based classifier that classifies the data. RBF network is used for data and is similar structure of Gaussian process but it uses clustering method with weight parameters. Additive regression classifies the variables by using Decision Stump. Decision Tree Regression improves the model by removing the decisions of the tree that are not important in classification. We fit different Waikato Environment for Knowledge Analysis (WEKA) models for atmospheric data and which model is the best based on RMSE values.
Boosting Algorithms to Identify Distributed Denial-of-Service Attacks
Authors: Kumar V , Kumar A , Garg S , Payyavula S R 
Published: August 2022

Abstract
In the current pandemic situation, much work became automated using Internet of Things (IoT) devices. The security of IoT devices is a major issue because they can easily be hacked by third parties. Attackers cause interruptions in vital ongoing operations through these hacked devices. Thus, the demand for an efficient attack identification system has increased in the last few years. The present research aims to identify modern distributed denial-of-service (DDoS) attacks. To provide a solution to the problem of DDoS attacks, an openly available dataset (CICDDoS 2019) has recently been introduced and implemented. The attacks currently occurring in the dataset were identified using two machine learning methods, i.e. the light gradient boosting method (LGBM) and extreme gradient boosting (XGBoost). These methods have been selected because of their superior prediction ability in high volumes of data in less time than other methods require. The accuracy achieved by LGBM and XGBoost were 94.88% and 94.89% in 30 and 229 seconds(s), respectively.
IoT RFID Lock Door Security System
Authors: Zabidi M S Z M , Yusof K H , Ahmad A S , Shahadan N H , Yusof K A , Yusof K Amri , Subari S N M 
Published: August 2022

Abstract
Wireless security system is widely used and favored by many industries, leading to mass growth of this technology. Prior to that, many advancement has been made throughout the decades. One of the popular wireless security systems is the Radio Frequency Identification System or RFID. RFID is favored over other systems due to myriads of its application in current systems like ATM cards, national ID card, toll system, parking lot system, and even mobile phones. This paper proposes an improved design of an RFID security system utilizing a Wi-Fi capable microcontroller (ESP-8266/ESP-12E). Combining the RFID system with an IoT system shall provide user with maximum control and monitor over the system. In this system, a RFID module (MCRF522) and an ESP-12E are used to identify a RFID card UID, in which a relay will turn on if the card is authorized, and the otherwise if not. The information will then be transmitted over the internet to a database, in which the information will be accessible via an app created specifically for the system for flexible configuration by the host user.
A visco-hyperelastic constitutive model of human periodontal ligament and the verification with finite element method
Authors: Liu Xin , Liu Mao , Tang Wencheng 
Published: August 2022

Abstract
The scientific basis of orthodontics is physics and Newtonian mechanics applied to the tooth-periodontal ligament-bone biologic system. The mechanical response of the periodontal ligament (PDL) to forces has a significant impact on bone remodelling and tooth movement. At the early stages, orthodontists mainly evaluated the PDL mechanical properties by in vitro experiments, which guided the use of forces in the orthodontic process. With the development of computers, finite element (FE) methods were increasingly used in the study of orthodontics. The phenomena and results of PDL mechanical tests are abstracted into constitutive equations. The identified constitutive equations are then implemented in finite element software. The finite element method could be used to simulate in vitro and in vivo experiments and predict the response of PDL under various complex working conditions. A visco-hyperelastic constitutive model is proposed and implemented in finite element technique based on prior static mechanical experiments of human PDL. Some complex experimental conditions are simulated to discuss the properties of the constitutive model.
Assessment of the Rheological properties of Aluminum dross in self-compacting concrete
Authors: Busari Ayobami , Loto Roland Tolulope , Eronmosele Esekhaigbe 
Published: August 2022

Abstract
This research assessed the rheological properties of aluminium dross in self-compacting concrete. Aluminium dross, solid waste from the aluminium processing industry, was used as a partial replacement for cement in the development of eco-friendly concrete. This was done in a bid to reduce the cost of management of this waste in track with the ‘waste to wealth’ initiative. In this article, aluminium dross was used as a partial replacement for cement at 0, 4, 8, 12, 16 and 20% content. The rheological test (workability) was carried out according to European Federation for Specialist Construction Chemicals and Concrete Systems (EFNARC) specifications. To this end the slump test, L-box, V-funnel and J-ring test was carried out at the replacement. The slump flow result indicated satisfactory result up to 20% addition, which indicates the good flowability characteristics of the concrete. The result of the research showed that aluminium dross, to a large extent, influenced the workability of the concrete produced. At 10% addition of this solid waste, the rheology was unsatisfactory from L-Box and V-funnel test result. The outcome of this research will guide researchers, engineers, and concrete users on the proper timing for mixing the special eco-friendly self-compacting concrete in the construction industry.
Influence of impurity boron on water resistance of basic magnesium sulfate cement
Authors: Zhang Xiaoyuan , Wu Chengyou 
Published: August 2022

Abstract
In this study, magnesium hydroxide was used as the precursor of magnesium oxide, mixed with different amounts of boric acid, and then calcined at 700°C and 1000°C to prepare different active magnesium oxide, and then BMSC specimens were obtained. By analyzing the effect of impurity boron on the compressive strength, microscopic morphology, hydration products, etc. of BMSC before and after soaking in water, the effect of impurity boron on the water resistance of BMSC was further explored. The results showed that the impurity boron had a great influence on the water resistance of BMSC. Th 1 e compressive strength of BMSC containing impurity boric acid decreased significantly after soaking in water, but its hydration product remained unchanged as 5·1·7 phase. Magnesium activity is low, crystallinity is low, and the dissolution rate of MgSO4 in the 5·1·7 phase is inversely proportional to the degree of crystallinity.
Research on preparation of 2D Cu nanomaterials
Authors: Xu Xiufeng , Dang Rui , Xie Mengmeng 
Published: August 2022

Abstract
Recently, metal nanosheets have been a promising material for application in nano-electrical devices. This study describes a chemical reduction preparation method of large-area Cu nanosheets in a facile condition using copper sulfate as source and glucose as reductant. The morphology and phase analysis of the synthesized copper nanosheets are measured by scanning electron microscope (SEM) and X-ray electron diffraction (XRD). The influences of several experimental parameters on the morphology of the products such as reducing agent and reaction temperature are investigated. It is found that by changing the molar ratio of copper ion to reductant, the thickness of copper nanosheets can be controlled. The obtained productions demonstrate excellent electrical conductivity.
Prediction of surface termination preference of out-of-plane ordered double-transition metal MXenes (o-MXenes) from first-principles calculations
Authors: Feng Xianghui , Bai Tianyu , Xiao Bing 
Published: August 2022

Abstract
Surface terminations greatly affect the MXene performance. On the basis of the first-principles thermodynamic calculations, the surface termination preference of 33 different out-of-plane ordered double-transition metal MXenes when prepared by etching the o-MAX phases with HF acid is revealed. By calculating the reaction enthalpy and reaction Gibbs free energy at finite temperature, it is concluded that when the outermost transition metal is a 3d-orbital transition metal, the surface termination is dominated by -F, and when the outermost transition metal belongs to 4d or 5d-orbital transition metal, the surface termination is mainly -O. And this preference law may be related to whether the outermost transition metal can donate enough electrons to surface groups.
Prediction of cutting force of particle-reinforced polymer matrix composites
Authors: Li Bo , Zhou Ping , Yan Ying , Sun Yujia 
Published: August 2022

Abstract
In this paper, the orthogonal cutting experiment and simulation analysis of Cu/PTFE composite materials are carried out with cemented carbide tools. The equivalent homogeneous model is adopted to realize the three-dimensional cutting simulation process. Compared with the experimental results, the predicted cutting force is in good agreement with that of the experimental results, and the deviation does not exceed 20%. The relationship between processing parameters and surface roughness under different cutting conditions is discussed in detail. The results show that the feed rate has a significant effect on the surface roughness, and the feed rate should be controlled during the machining process to obtain high surface quality. Through the observation of the turning surface, there are phenomena such as particle pulled off, cut off, and pressed in the processed surface morphology.
Phenolic acid extraction from orange peel with natural deep eutectic solvents
Authors: Lin Luoxuan 
Published: August 2022

Abstract
Orange peel were usually abandoned as waste. However, the valuable product in orange peel cannot be ignored. Essential oils, flavonoid and phenolic acid in orange peel are broadly exploited as important components in food, pharmaceutical and even cosmetic industries. Compared to conventional organic solvents, Natural Deep Eutectic Solvents (NADESs) is a category of environmental-friendly green solvents, providing a solution for toxic residues. Meanwhile, with the properties of non-flammability, low toxicity, non-volatility, high stability and low melting points, NADESs are promising in the application of plant extraction, such as oil and phenolic acid extraction. In recent researches, choline chloride based NADESs display excellent extraction properties from natural sources. Choline chloride as hydrogen bond acceptor and glucose as hydrogen bond donor, with ultrasonic-assisted extraction method, phenolic acid were extracted from orange peel. Different ratio of choline chloride and glucose were conducted in the experiment. In the result, when choline chloride/glucose/water (reaction medium) ratio is 5:2:5, the DPPH free radical scavenging activity reaches optimum; while when the ratio is 1:1:1, the tested tyrosinase inhibition rate reaches the largest, which means the extracted phenolic acid with NADESs is promising to be applied into pharmaceutical and cosmetic industries.
N-butyl oleate catalyzed- synthesized by triethylamine citrate lonic liquid
Authors: Zhou Ningning , Yang Liancheng , Wang Yuehan , Ding Yunlong 
Published: August 2022

Abstract
Ionic liquids have many unique physical and chemical properties and are attracting more and more attention. They are considered to be a new type of green solvent that can replace traditional organic solvents and are environmentally friendly. They have attractive application prospects in many fields. The triethylamine citrate ionic liquid was used as a catalyst to catalyze-esterificate-synthesis n-butyl oleate with oleic acid and n-butanol. Research on the preparation, optimization and the reacted process of n-butyl oleate of the new catalyst were conducted. Experimental analysis shows triethylamine and citric acid reacted under certain conditions achieved the preparations of the catalyst(triethylamine citrate: citric acid=3.5:1, 1h, 40 °C), and then n-butanol oleate was synthesized according with follows conditions(oleic acid: n-butanol=1:1, 3h, 140°C, catalyst dosage:10%), the esterified rate was reached about 60%. In contrast, the reacted conditions of preparing catalyst followed that (triethylamine citrate: citric acid=3:1, 1h, 8°C), and then n-butanol oleate was synthesized according with follows conditions(oleic acid : n-butanol=1:1, 3h, 140°C, catalyst dosage:10%), the esterified rate was reached above 92%. Meanwhile, the new catalyst of triethylamine citrate ionic liquid can be recycled, zero pollution, simple production process, high catalytic yield, can avoid effectively strong corrosion from catalyst to devices, not easy to save and high volatility etc. unfavorable factors and based on above esterification rate of n-butyl oleate was improved effectively. Due to the unique properties of ionic liquids, it is widely used in various fields of chemical research. Ionic liquids have been used as reaction solvents in many types of reactions.
Research on triazine reaction, heat resistant and dielectric properties of cyanate ester resin catalyzed by bisphenol AF
Authors: Zhou Kaiyun , Sun Xiaopeng , Wang Yanan , Zhao Weiwei , Su Tao 
Published: August 2022

Abstract
Cyanate ester (CE) resins possess a wide variety of attractive features that make them suitable for both electronic and aerospace composite applications. However, high curing temperature and long curing time limit the application range of CE resins. In this study, curing reaction, heat resistant and dielectric properties of bisphenol A-based cyanate ester (BACY) resin catalyzed by bisphenol AF (BPAF) were investigated by means of differential scanning calorimetry, Fourier transform infrared, dynamic mechanical analyser and dielectric properties analyser. The incorporation of the BPAF decreased the curing temperature and showed a strong catalytic effect in cyclotrimerization reaction of BACY. BACY resin catalyzed by 4 phr BPAF at 180 °C post-cured for 5 h presented high curing degree of 92.8% and glass transition temperature of 247.4 °C. Moreover, BACY resin catalyzed by 4 phr BPAF at 180 °C post-cured for 5 h exhibited excellent dielectric properties (ε and tan δ equal to 2.87 and 0.0084) comparable to commercial modified cyanate ester resin post-cured at 200 °C for 10 h. These results suggest that catalyst BPAF possesses promising potential application in meeting low-temperature short-term curing of high-performance cyanate ester resin based wave-transparent composites.
Research on Thermal Property of the Shell Powder-Filled Polybenzoxazine Composites
Authors: Feng Tiantian , Zhang Xiumei , Lv Chang , Zhong Xiaohuang 
Published: August 2022

Abstract
In recent years, the study of benzoxazine based composites has become a research hotspot. In this paper, a set of the shell powder-filled polybenzoxazine composites were prepared. The curing behavior and thermal properties of the corresponding composites were studied by differential scanning calorimeter, dynamic mechanical analyzer and thermogravimetric analysis. The results revealed that the glass transition temperature of the composite improved 22 °C with the shell powder content added to 30%. Besides, the 5% decomposition temperatures of all the resulted composites were higher than 390 °C, which indicated that the addition of shell powder improved the thermal stability of benzoxazine resin.
Preparation of Nano-SiO2 Modified PA66 Microfiltration Membrane and Treatment of Oily Wastewater
Authors: Wang Jiafan , Wang Beifu , Zhang Chenxiao , Nie Lihong 
Published: August 2022

Abstract
With the development of industry, more and more oily wastewater is discharged into the water, which brings great harm to the ecological environment and human health. Membrane separation technology is a very promising technology for oily wastewater treatment. In this experiment, a 1:1 mixed solution of formic acid and dichloromethane (FA/DCM) was used as a solvent to prepare a PA66 microfiltration membrane by evaporation method, and nano-SiO2 was used to modify the PA66 with the determined formula. The apparent morphology, hydrophilicity and mechanical properties of the membrane were characterized by scanning electron microscopy, contact angle test and tensile test, and the effect of treating oily wastewater by microfiltration membrane before and after modification was analyzed. The results show that the mechanical strength and hydrophilicity of the microfiltration membrane are improved after modification by SiO2, and the sewage treatment effect is better. The removal rates of unmodified microfiltration membrane to total suspended solids, chemical oxygen demand and oil concentration are 55%~96%, 50%~85% and 55%~92%; the removal rates of modified microfiltration membrane to total suspended solids, chemical oxygen demand and oil concentration are 98%~99%, 91%~95% and 95%~99%.
Graphene paper based liquid sensor for micro volume acetone detecting
Authors: Wang Yanan , Sun Xiaopeng , Zhou Kaiyun , Wu Xiao , Huang Xinzuo , Yang Maowei 
Published: August 2022

Abstract
Sensors with accurate detection of various liquids have attracted increasing research interests in environmental protection and organic solvents transporation. In this paper, liquid sensor based on laser induced graphene paper (LIGP) was proposed, and successfully used for the rapid detection of micro volume liquid. The processing-structure-property relationship was systemically studied. LIGPs with different morphologies exhibited various sensitivities and showed good reproducibility and fast response. The response mechanism related to contact resistance between some adjacent graphene flakes/fibers was proposed. With the key findings, LIGP liquid sensors can be used as the detector for accurate identification of different solvents and have great potential in monitoring organic solvent leakages of pipelines and fabrication of smart anti-corrosion composite structures.
Microstructural Black Swans
Authors: Boyce B L 
Published: August 2022

Abstract
Black swans are a metaphor for rare events with extreme consequences. In the domain of structural materials, black swans represent features in the microstructure that lead to catastrophic failure; as a result of their rarity, they are difficult to observe and often overlooked. These unusual weakest-link features are described variously as incipient, emergent, or anomalous. They give rise to localization, percolation, or avalanche events such as fracture, ductile rupture, dielectric breakdown, corrosion pit nucleation, and fatigue-crack initiation; as such, they are limiting cases in the concept of a representative volume. In this perspective, three examples are given of rare microstructural features and how they limit the mechanical reliability of structural metals. After taking stock of these examples, a future outlook considers the need for high-throughput testing and non-destructive characterization as well as detection algorithms and materials modelling strategies, including accelerated machine learning methods, that can capture anomalous events.