bluuebunny/crossref_metadata_2025_split huggingface dataset:
Compensated active disturbance rejection control for voltage regulation of a DC–DC boost converter
Authors: Yuan Hai‐Bo , Kim Young‐Bae 
Published: December 2020

AbstractThis study analysed the output voltage control and performance of a DC–DC boost converter. The focus is on the continuous conduction mode of a DC–DC boost converter and each component is designed and selected for circuit assembly. A small‐signal AC model based on a pulse‐width modulated DC–DC boost converter is constructed, and four control algorithms, namely the ‐integral control, deadbeat control, linear quadratic regulator control, conventional active disturbance rejection control and new compensated active disturbance rejection control are put forward to regulate the converter output voltage when faced with immeasurable input and load disturbance. The paper emphasises the objective steering the output voltage to its reference with fast response, little overshoot, and ripples. The equivalent input disturbance observer is utilised to compensate for the tracking error existing in the observed system. Scenarios for validation are investigated in MATLAB/Simulink environment and LabVIEW‐based field‐programmable gate‐array experimental rig. The results indicate that the proposed method has the best rejection effect on the above‐mentioned system disturbances with stability improvement.
Generalised Tapped Inductor Switcher (GTIS) approach to modelling of high‐order converters
Authors: Yao Jia , Ping Jiang , Zheng Kaisheng , Abramovitz Alexander 
Published: December 2020

AbstractA generalized modelling technique suited to integrated and high order Pulse‐Width‐Modulation (PWM) topologies is studied and proposed here. Most integrated converters have their switches shared by more than one inductive element. The proposed generalised tapped inductor switcher model takes full account of the properties of the shared switcher assembly and so extends the capabilities of the earlier tapped inductor switcher model. The proposed generalised tapped inductor switcher can accommodate both voltage and current switched inputs and thus can model a wide range of high‐order PWM topologies. The topology of the GTIS block is proposed and its static and small‐signal models are derived. The proposed approach is illustrated by analysing a tapped inductor Single Eneded Primary Inductor converter. The validity of the proposed approach is verified by comparison of the theoretical, simulated and experimental results.
Variable fractional power‐least mean square based control algorithm with optimized PI gains for the operation of dynamic voltage restorer
Authors: Naidu Talada Appala , Arya Sabha Raj , Maurya Rakesh , Sanjeevikumar P. 
Published: December 2020

AbstractThe operation of Dynamic Voltage Restorer has been studied for the mitigation of supply voltage disturbances like sag, swell, distortions, and unbalances. A Dynamic Voltage Restorer with three single‐phase Voltage Source Converters has been implemented for this purpose. Dynamic Voltage Restorer's compensation capability has been evaluated while introducing the above‐said voltage related disturbances in the supply by different means. A control algorithm named Variable Fractional Power‐Least Mean Square has been proposed for generating the load reference voltage for Dynamic Voltage Restorer. Variable Fractional Power‐Least Mean Square extracts the fundamental active and reactive component out of non‐ideal supply voltage and is thus, used in generating reference load voltage. This algorithm is more robust with respect to disturbance due to variable step size and is computationally less expensive. In addition, an optimization‐based approach has been proposed to estimate the approximate values of PI control gains. For this reason, a population‐based optimization method known as Sine Cosine Optimization has been used. The added feature of the optimization method is the reduction of computational time as compared to conventional PI controller tuning. A model of Dynamic Voltage Restorer using Variable Fractional Power‐Least Mean Square control algorithm with Sine Cosine Optimization tuned PI gains has been built in MATLAB Simulink as well as a reduced scale experimental prototype and their results have been presented with discussion.
Appraisal of sedimentary alkenones for the quantitative reconstruction of phytoplankton biomass
Authors: Raja Maria , Rosell-Melé Antoni 
Published: December 2020

SignificanceBiomarker proxies, namely alkenones, are commonly used to reconstruct past primary productivity. However, their value has been questioned as they are posited to be controlled by diagenetic processes and often limited to draw qualitative inferences on the carbon cycle. In fact, most proxies have not been globally appraised with ocean biogeochemical data. Here, we use a combination of remote sensing and geochemical data to provide a spatial-based global scale calibration that shows the use of alkenones to quantify past sea surface chlorophyll-aconcentration, which ultimately can be used to infer quantitatively past primary productivity in paleorecords. This calibration paves the way to clarify the relative role of the marine carbon cycle in climate variability using field data, and tests biogeochemical models.
Superconductor–insulator transition in two-dimensional indium–indium-oxide composite
Authors: Hen Bar , Zhang Xinyang , Shelukhin Victor , Kapitulnik Aharon , Palevski Alexander 
Published: December 2020

Significance
The magnetic-field–tuned superconductor-to-insulator transition (H-SIT) in disordered two-dimensional thin-film materials is paradigmatic for quantum phase transition. While in the standard approach pairing persists into the insulating phase, and the transition is driven by quantum phase fluctuations, the role of its associated inhomogeneous nature, particularly in the widely studied InOx system, remains an open question. Here we use a granular structure of pure indium islands where pairing amplitude is well defined, superimposed on a uniform thin film of barely insulating InOx, which provide the intergrain coupling, to preferentially gain insight into the role of phase fluctuations in InOx H-SIT. The robust pairing in the indium islands helps mitigate nonequilibrium effects that often disrupt the approach to H-SIT in InOx experiments.
A novel MEMS-RIMU self-calibration method based on gravity vector observation
Authors: Cheng Jianhua , Liu Ping , Wei Zhenyu , Luo Guangdi 
Published: December 2020

Abstract
The microelectromechanical system (MEMS) redundant inertial measurement unit (RIMU) is a low-cost navigation system, which can improve reliability effectively. In existing MEMS-RIMU calibration schemes, extra equipment with higher accuracy is required. However, on some occasions, a rotation platform or other reference equipment cannot be provided, and calibration of the MEMS-RIMU is limited. To solve the problem, a novel self-calibration method for the MEMS-RIMU based on gravity vector observation is proposed, which can estimate the bias, scale errors and alignment errors of accelerometers and gyroscopes without extra equipment or rotation platforms. In this paper, a novel calibration model for accelerometers and gyroscopes is built by analyzing the relationship between gravity vector observation and the measurement value of the MEMS-RIMU. There is no attitude information in the calibration model, so the RIMU can be calibrated without attitude references via extra equipment. Then, a derivative unscented Kalman filter is proposed to estimate the bias, scale errors and alignment errors of accelerometers and gyroscopes, which can reduce the computation load. Finally, the simulation and experimental results demonstrate the efficiency and accuracy of the proposed calibration scheme.
CVD growth of rhenium sulfide on carbon nanotubes as an anode for improving the performance of lithium ion batteries
Authors: Cao Kai , Hu Zhengguang , Wang Jianyu , Liu Fengliang , Wu Xiaoqin , Wang Zhendong , Wang Li 
Published: December 2020

Abstract
Lithium ion batteries have widely been used for electronic devices and electric vehicles. However, commercial anodes, generally graphite, have not been improved a great deal. Thus, we successfully constructed ReS2/carbon nanotube (CNT) composites by a chemical vapor deposition method, which exhibit excellent electrochemical performances when serving as anode materials for lithium ion batteries (LIBs). We confirmed that ReS2 crystals are grown on the surface of the CNTs by using scanning electron microscopy and transmission electron microscopy. As a result, the LIBs show much better long-cycle and rate performances than bare ReS2 and CNTs. The ReS2/CNTs were assembled in coin cells CR2025, presenting a stability capacity of 488 mAh g−1 at a rate of 5C. The anodes maintain a reversible capacity of 1050 mAh g−1 after nearly 60 cycles at 0.2C, which indicates that it is a promising technique to improve the performance of LIBs.
Physical aspects of convective and radiative molecular theory of liquid originated nanofluid flow in the existence of variable properties
Authors: Rehman Aysha , Hussain Azad , Nadeem Sohail 
Published: December 2020

Abstract
A numerical approach is adopted to explore the analysis of combined convection and thermal radiation on molecular theory of liquid originated nanofluid over an extendable surface. The temperature-dependent viscosity is considered through Vogel’s and Renold’s model. The physical problem gains more significance in the presence of temperature-dependent thermal conductivity. Nanofluid attributes are explored through thermophoresis and Brownian motion effect. Radiative heat flux is also taken into account to study the thermal radiation aspects. Characteristics of sundry physical parameters on the velocity, thermal energy and mass transfer are computed numerically and graphically. Velocity pattern expands for growing the size of thermophoresis diffusion and decline by the expanding amount of fluid parameter for Vogel’s and Renold’s model. Temperature fluctuation rises when the quantity of variable thermal conductivity parameter getting up and falls for radiation parameter. Concentration curve increases if the values of Prandtl number enlarge for Renold’s model. Concentration boundary layer thickness declines for inclining in Brownian diffusion, radiation and Prandtl number for Vogel’s model.
Local and nonlocal (2 + 1)-dimensional Maccari systems and their soliton solutions
Authors: Pekcan Aslı 
Published: December 2020

Abstract
In this work, by using the Hirota bilinear method, we obtain one- and two-soliton solutions of integrable (2 + 1)-dimensional 3-component Maccari system which is used as a model describing isolated waves localized in a very small part of space and related to very well-known systems like nonlinear Schrödinger, Fokas, and long wave resonance systems. We represent all local and Ablowitz-Musslimani type nonlocal reductions of this system and obtain new integrable systems. By the help of reduction formulas and soliton solutions of the 3-component Maccari system, we obtain one- and two-soliton solutions of these new integrable local and nonlocal reduced 2-component Maccari systems. We also illustrate our solutions by plotting their graphs for particular values of the parameters.
Single and Multiple Imputation Method to Replace Missing Values in Air Pollution Datasets: A Review
Authors: Libasin Zuraira , Zia Ul-Saufie Ahmad , Ahmat Hasfazilah , Nur Shaziayani Wan 
Published: December 2020

Abstract
Imputation plays an essential role in handling the issue of missing data. The conventional techniques applied to overcome this problem are single imputation (SI) and multiple imputations (MI). These statistical strategies have their strengths and limitations in replacing missing data. This article reviews the state of the art of imputation methods employed in general publications in replacing missing values for air pollution data. A comprehensive review of the literature identifies the use of SI and MI slightly increases over the year. This paper concludes on the trend and the approaches used in the imputation methods. Subsequently, this paper put forward the gaps in imputation technique that less utilized a machine-learning approach in providing a substitute for missing values in air pollution data. The future direction of the research is to extend more machine-learning approach with higher accuracy with higher performance in imputing missing values.
Meteorological Parameters and Air Pollution in Urban Environments in the Context of Sustainable Development
Authors: Deak György , Raischi Natalia , Matei Monica , Boboc Madalina , Cornateanu Gabriel , Raischi Marius , Matei Stelian , Yasina Yusuf Sara 
Published: December 2020

Abstract
In big cities, certain meteorological phenomena can affect air quality even in cases where the main sources of pollution such as traffic have low intensity. The air pollution varies greatly, depending on the emission source and the type of pollutant. In addition, the dispersion of air pollutants is influenced by weather conditions, as well as other factors such as the type of pollutant and regional and local topography. The air quality is one of the targets of the 11th goal of the UN 2030 AGENDA for sustainable development, also adopted at the national level. This study aims to correlate temperature and humidity with atmospheric pollutants, like PM10. The data were obtained by continuous monitoring for a period of 9 days (5 days when precipitation was recorded and 4 days when precipitation was absent) in which the relative humidity varying between 32-104% while the concentration of PM10 between 13-118 µg/m3. The measurements on air quality parameters were performed in the central area of Bucharest city, near an important boulevard with intensive vehicle traffic and sometimes traffic jams. During daytime period, it was observed that the temperature inversion could be the cause the accumulation of high PM10 levels near the road surface for some hours of the monitoring period.
Optimization of SiO2/Al2O3 Ratio in the Preparation of Geopolymer from High Calcium Fly Ash
Authors: Faradilla F S , Nugroho D T , Hidayati R E , Nurlina  , Bayuaji R , Hartanto D , Fansuri H 
Published: December 2020

Abstract
High-calcium fly ash-based geopolymers have been successfully synthesized. The source of fly ash used in this study is fly ash from PT. IPMOMI, PT. Holcim and Paiton PLTU 9. The variation in the mole ratio of SiO2/Al2O3 carried out in this study was 3,0; 3,3; 3,6; 3,9 and 4,2. Compressive strength tests were carried out on geopolymers aged 7, 14, and 28 days. A geopolymer with a ratio of 3,6 has the best compressive strength. The compressive strength test results for IPMOMI, Holcim, and Paiton 9 geopolymers were 75,37; 50,95; and 39,25 MPa. The highest geopolymers with compressive strength were characterized using XRD and SEM. The results of the XRD showed that geopolymers had an amorphous phase and gibbsite mineral in the three geopolymers which indicated that there was still Al(OH)3 which had not reacted. Microstructure analysis using SEM shows the all of three solid structure of geopolymers. There is efflorescence on Holcim and Paiton 9 geopolymers which causes lower compressive strength than IPMOMI geopolymers.
New Model to Calculate Blast Loading on Above and Underground Structures
Authors: Farag Hassan M. 
Published: December 2020

Abstract
Blast loading is a type of extraordinary dynamic load to which structures or any object may be exposed to. The load resulted on structures or any targets from explosion is a complicated task to do. This paper presents an accurate and so simple model and program “
BLAST
” to predict the blast or shock wave resulted from the explosion that termed “Over Pressure” which comes from conventional and non-conventional weapons (such as Nuclear weapons). The pressure from the mass of air flow at and behind the shock front that termed the “Dynamic Pressure” is also predicted.
The loads on any structure or target from the explosion are combination of overpressure Ps(t) and dynamic pressure Pd(t), this dynamic load on different faces of a structure either above or under the ground is predicted and presented in this paper.
The over pressures resulted from different charges or weapon yields that are calculated in this study are compared to those obtained from “ConWep”.
The load on structures predicted by the present study is also compared to that obtained from “AUTODYN” software. A study is performed to investigate the effect of depth of burial on the load affecting the different faces of the buried structure.
The history of monasteries in Egypt as self-sustained settlements
Authors: Romel G , Sherif L , Ashour S 
Published: December 2020

Abstract
Monasticism initiated in Egypt and has spread worldwide. It introduced a new self-sustained architectural innovation called “monasteries”. Monasteries can be considered as homogeneous self-sustained settlements through history. This paper aims to document the origins of monasticism, leading to the development of self-sustained monasteries: conceptually, economically, and architecturally. It relies on observations, maps, and historical references. The main challenges in collecting data for this paper were the lack of published references about origins of monasticism. Most of the resources are rare documents stored in the Coptic Clerical and Theological College of Cairo, and libraries of monasteries. Thus, the paper analysis present monasteries as self-sufficient, self-sustained settlements that survived through history since the fourth century to the current state through: (zoning, architectural elements, building materials, and buildingtechniques. The architectural analysis shows that the architectural solutions of monasteriesevolved in respect to the geographical location, and context. Monasteries architecture relies on trials and errors, until it reached an applicable architectural model.
Design out waste as an approach for achieving sustainability in Egyptian housing projects
Authors: Elsawaf Laila A. , Othman Ayman A. E. 
Published: December 2020

Abstract
Housing projects have been increasing rapidly during the previous years to fulfil community needs and achieve the national and international sustainable development objectives. Due to their nature, housing projects generate a significant amount of waste that accounts for approximately 40% of the solid waste that the construction industry generates annually. Many of these wastes are a result of inappropriate decisions adopted during the design process such as using non-sustainable materials and inefficient use of natural recourses. Meanwhile, research has revealed that achieving sustainability within housing projects is a crucial challenge, yet an essential one. This called to think differently and adopting creative strategies for reducing construction waste during the design process. Therefore, this research aims to develop a matrix that correlates the aspects of sustainability with design out waste strategy as an approach within RIBA design phases for achieving sustainability in Egyptian public housing projects. A research methodologyconsists of literature review and case study was designed to achieve a working matrix by accomplishing three objectives. Firstly, literature review was used to investigate the topics of sustainability, design out waste strategy and housing projects. Secondly, a case study collected by literature presentedand analysedto identify the design out waste strategy for reducing waste as an approach to achieve sustainability. Finally, developing a matrix that correlates sustainability and design out waste strategy within RIBA design phases.
Managing of city transition toward sustainable Eco urbanism (Proposed paradigm)
Authors: Fayad Mohamad F. , Elmahdy Maged , Sabri Sherif , Kasem A. Alrahim 
Published: December 2020

Abstract
The research clarifies transition strategy towards sustainable Eco urbanism, and what spinoff the reliable Universal Criteria, in addition to concept the managing of sustainability transition in cities.
The aim of the research is to present and elaborate a proposed model for managing the sustainable transformation of Egyptian cities, so that they are suitable to deal with and apply to most existing and new urban communities, with a view to transforming them into sustainable environmental cities and communities, by working to develop a future vision for the sustainable image that the city will reach, dependent on Scientific foundations and an understanding of the problems these regions suffer from, to explain sustainability strategies in light of the general data for these areas and the current and future needs of the population and the available capabilities.
The proposed paradigm consists of ten consecutive stages of operations and is related to each other, where the subsequent stage is based on the data of the previous stage, and the success of the previous stage has a positive impact on the success of the subsequent stage and vice versa.
Thermal Conductivity for Foamed Paste made of Cement and Cement kiln dust
Authors: Wahab Rafik K. Abdel 
Published: December 2020

Abstract
As with most large manufacturing industries, by-product materials are generated. Cement kiln dust is a by - product material of cement manufacturing process. The aim of this paper is to investigate the properties of foamed paste made of CKD in addition of different percentages of cement. Compressive strength and thermal conductivity were determined. Sixty three cubes in three groups with different densities, amount of cement, CKD, water and foaming agent were cast. The results were encourage to use the Foamed( Cement kiln dust – cement) Paste (FCKDC) as an insulation materials. The results indicates’ a comparable value for thermal conductivity which vary from (0.074-0.3) W/mk.
Exploratory Analyses for Missing Data in Meta-Analyses and Meta-Regression: A Tutorial
Authors: Schauer Jacob M , Diaz Karina , Pigott Therese D , Lee Jihyun 
Published: December 2020

AbstractObjectivesIn this tutorial, we examine methods for exploring missingness in a dataset in ways that can help to identify the sources and extent of missingness, as well as clarify gaps in evidence.MethodsUsing raw data from a meta-analysis of substance abuse interventions, we demonstrate the use of exploratory missingness analysis (EMA) including techniques for numerical summaries and visual displays of missing data.ResultsThese techniques examine the patterns of missing covariates in meta-analysis data and the relationships among variables with missing data and observed variables including the effect size. The case study shows complex relationships among missingness and other potential covariates in meta-regression, highlighting gaps in the evidence base.ConclusionMeta-analysts could often benefit by employing some form of EMA as they encounter missing data.