bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization decision of cooperative emission reduction of clothing supply chain based on carbon tax
Authors: Lang Lingling , Liu Zheng , Hu Bin 
Published: February 2021

Abstract
Clothing products will cause environmental pollution while promoting economic development. The government collects carbon tax on clothing products to restrict the carbon emission of enterprises. In order to protect the environment and reduce the carbon tax penalty, Stackelberg model is established to compare the optimal decision-making and profit under the centralized decision-making and decentralized decision-making. It is found that no matter whether it is centralized decision or decentralized decision making, the retail price of clothing, carbon emission reduction and clothing demand increase with the increase of carbon tax, while the profit of supply chain system shows a downward trend. We can also get manufacturers and retailers can get higher supply chain system profits under centralized decision-making, and can meet the needs of environment, market and enterprises at the same time.
Green Retailing: The Influence of Clothing Display Props on Consumer Behavior
Authors: Wang M Y , Wang X Y , Xu J , Zhang R Q , Zhang L 
Published: February 2021

Abstract
The operation of small and medium-sized clothing stores (SMCS) alleviates the excessive consumption of resources caused by e-commerce logistics. The display props that enhance the image of stores are important for SMCS. In this work, we use survey questionnaire, field experiment and statistical analysis of SPSS including Chi-square goodness-of-fit test, Chi-square test, Multiple Response and Contingency Table to analyze the use of display props in SMCS. Results are as follows: first, props in clothing stores will affect the consumers’ purchase decision, and the coordination of props can improve the sales of stores. Second, the store should pay attention to the aesthetics, interest and functionality of the display props. Third, the general methods of using props to promote SMCS’ sales include creating the display atmosphere, optimizing the space layout, strengthening the window image and enhancing the fitting experience.
Impact of environmental attitude and materialism on apparel disposal intention
Authors: Cao Hongrui , Shao Peng 
Published: February 2021

Abstract
Sustainability is an important rising trend in the apparel industry. Accordingly, this study focuses on the influence of environmental attitude, materialism, channel integration, and other factors on apparel disposal recycling intention in an omni-channel retailing environment. The main findings are as follows: materialism has a significant positive impact, channel integration quality has a significant negative impact, and environmental attitude has no significant impact on impulsive consumption. Next, environmental attitude, impulsive consumption, and channel integration exert significant positive effects on used apparel recycling intention. Finally, improving channel consistency could increase female consumers’ willingness to recycle used clothes more than that of male consumers.
Comparison the iterative solvers for large sparse matrix in 3D electromagnetic forward modelling
Authors: Wang Yongfei , Guo Rongwen , Liu Jianxin , Chen Hang , Li Jian , Liu Rong 
Published: February 2021

Abstract
In 3D electromagnetic (EM) forward modeling, an analytical solution is generally not available. Numerical solution is commonly applied to solve the forward modeling problems, mostly based on iterative solvers. The efficiency of EM forward modeling is critical for the development of practical inversion for EM data. The Krylov subspace solvers are widely used to solve frequency-domain EM forward modeling problems. However, these solvers converge remarkably more slowly as the operating period increases. This can be improved by the use of preconditioner and divergence correction. Multigrid (MG) solver is efficient for solving EM forward modelling problems without the use of preconditioner and divergence correction. In this paper, a MG solver is compared with Bi-Conjugate Gradients Stabilized (BCG) solvers with different preconditioners. They are compared, in terms of iteration number and computing time, indicating the MG solver is much more efficient.
Calculation of Filling Ratio of Fissures for Curtain Grouting by Acoustic Velocity of Rock Masses
Authors: Liu Haitao , Xu Fuxing , Dong Liang , Xiong Youliang 
Published: February 2021

Abstract
In the construction of hydropower projects, the detection method for curtain grouting has not been recognized for the filling the fissures at present. This paper calculates the filling ratio of fissures in rock masses using acoustic velocity data before and after grouting. According to a simplified two-phase model of rock mass, a calculation formula of filling ratio for rock mass fissures is derived from acoustic velocity. The rock mass velocity ratio curve before grouting is fitted according to Poisson distribution formula to obtain the rock mass velocity, and then the filling ratio for rock mass fissure grouting is calculated by combining water, cement, rock mass velocity before and after grouting. The filling ratio of fissures in the rock mass after curtain grouting by using the acoustic velocity of the rock mass in a hydropower project can be mutually verified by the results of the borehole TV and water pressure test.
Automatic robotic scanning and inspection mechanism for mines using IoT.
Authors: Qadri Ibrahim , Muneer Amgad , Fati Suliman Mohamed 
Published: February 2021

Abstract
The mining industry has been recognized as one of the most hazardous industry. With the growth of the industry, the number of human casualties has increased. The mines can be very lethal for workers or in the event of an accident or with high humidity and temperature leading to workers fainting. Some of the problems that besets are of air blast, ground movement, dust explosion, inundation etc. This study reviews the common problems associated with Carbon Monoxide content with temperature and humidity. In this paper, we assemble an automatic robotic scanning and inspection mechanism for mines that is designed and assembled to recognize Carbon Monoxide (CO), humidity and temperature variance inside the mines. The proposed system employees a mobile robot that can be manually controlled by a self-developed mobile application and an Internet of Things (IoT) system. The sensors included take the input from the air and transmit them to the mobile application using Bluetooth module. The experimental results show that the IoT achieved an accuracy of 97.5 % for the mobile robot and the sensor system.
Influence of Nb and Zr co-doping on the structural, morphological and dielectric properties of CaCu3Ti4O12 ceramics
Authors: Hasan M K , Shant S H , Islam M Z , Haque M E 
Published: February 2021

Abstract
In this work, CaCu3Ti3.8-xNb0.2ZrxO12 (where x=0.0, 0.05, 0.1, 0.2) ceramics were made using the normal solid-state reaction method to assess the influence of Nb5+ & Zr4+ codoping on the structure, morphology and electrical properties of CaCu3Ti4O12 ceramics. Reitveld refinement by Fullprof package was done to achieve the structural information. No phase transformation was observed upon doping. The CCTNZO ceramics occupied a finegrained microstructure with grain sizes ranges from 0.26-0.33 μm. Furthermore, grain size uniformity was enhanced with gradual doping of Zr4+ ion. within the meantime, the CCTNZO ceramics unfolds extensive durability of dielectric constant over a good range of frequency and also shows a lower loss factor. Doping resulted during a gradual decrease in grain sizes and a dielectric loss at low and high frequency. It had been found that 10% of Zr doped CCTNZO ceramics has the very best dielectric constant (3655) at 0.1 kHz. Meanwhile, rock bottom dielectric loss of 0.241 at 0.1 kHz was observed for 20% Zr doped CCTNZO ceramics.
Video quality evaluation and testing verification of H.264, HEVC, VVC and EVC video compression standards
Authors: Subbarayappa Shreyanka , Rao K R 
Published: February 2021

Abstract
This paper is a comparative analysis with respect to video compression, coding efficiency with respect to performance and quality of the compressed video of Advanced Video Coding (H.264), High Efficiency Video Coding (HEVC), Versatile Video Coding (VVC) and MPEG-5 Essential Video Coding (EVC). The approach used for coding and comparative analysis is by keeping the video quality (QP) and group of pictures (GOP) constant for all the four codecs. Performance with respect to quality and coding efficiency is tabulated with respect to objective quality metrics analysis like (PSNR, M-SSIM, Bitrate, compression ratio) and subjective quality analysis. From both these techniques, it is observed that the VVC is superior to EVC, HEVC and H.264 in terms of compression. Therefore, more bitrate savings is observed for VVC which is 15% to 45% more when compared to EVC. Due to the complexity of the encoder block, VVC takes almost twice the time taken to encode EVC and HEVC taking the least time to encode the video bit streams. The conclusion of the quality of video keeping system parameters constant, showed VVC performing better than EVC, followed by HEVC and then H.264 for both objective and subjective analysis. Time taken to decode the encoded sequences is almost same with very less delta difference between the video codecs. The codec configurations with algorithmic enhancements is also explained in this paper.
The influence of electromagnetic waves on conductivity tensor in the presence of laser field in quantum wells with parabolic potential for the case of electrons-acoustic phononscattering
Authors: Ngoc Hoang Van 
Published: February 2021

Abstract
In quantum well studies, the conductivity tensor problem is one of the fundamental problems. In this work the topic covered here is the effect of electromagnetic waves on the conductivity tensor with the presence of a laser field in a quantum well with a parabolic potential considering the case ofelectrons-acoustic phonon scattering. By using quantum kinetic equations for electrons in quantum wells with parabolic potential, the author has calculated conductivity tensor with electrons–acoustic phonon scattering in the presence of an electromagnetic wave field and a laser field. The expression tensor for conductivity shows its dependence on the frequency of the electromagnetic wave field, the frequency of the laser field, and other parameters specific to the system. From the conductivity tensor expression plotted the effect of the electromagnetic wave field on the conductivity tensor in the presence of the laser field. The quantum well is discussed and plotted here is the GaAs/GaAsAl quantum well.
Lifetime study of white organic light emitting diodes fabricated by both solution and vacuum evaporation processes
Authors: Juang Fuh-Shyang , Huang Kuo Chun , Chen Jeng Yue , Kuo Lin , Hong Lin Ann 
Published: February 2021

Abstract
In this study, a white light organic light-emitting diode is fabricated by solution processes. The focus of the research is to extend the lifetime of device. A hole transport layer doped with P-type material (F4-TCNQ) and a stepped electron transport layer TPBi (blocking holes and lowering the LUMO energy level) were employed in the device structure. And each layer thickness was optimized. At 9 V, the brightness can reach 206 cd/m2, current efficiency 1.29 cd/A, and the device lifetime is extended from 0.8 to 8 hours. The CIE color-coordinates of white OLED samples are (0.38, 0.28).
Evaluating RMS based continuous S-Transform with deep learning for detecting and classifying voltage sag and swell
Authors: Daud Kamarulazhar , Sarohe Syazreena , Saidon Wan Salha , Omar Saodah , Ismail Nurlida , Kasim Nazirah Mohamat 
Published: February 2021

Abstract
Voltage sag and swell can cause serious problems like instability, short lifetime, and data errors in power quality. The objective of this paper is to present the detection and classification of voltage sag and swell. S-Transform is used as a base to detect the triggering point of disturbances using Root Mean Square (RMS) method. This paper also presents the type of sags and swells by applying the features into Extreme Learning Machine (ELM) neural network approach in MATLAB. In addition, ELM method is compared with Support Vector Machine (SVM) and Decision Tree method to observe the best classification between these three methods. The accuracy of the classifications was displayed in percentages. It was verified that the detection using RMS and classification using ELM are possible because the results are clearly showing the advantages of the RMS in detecting and ELM for classifying the power quality problems.
Hand gesture recognition on python and opencv
Authors: Ismail Ahmad Puad , Aziz Farah Athirah Abd , Kasim Nazirah Mohamat , Daud Kamarulazhar 
Published: February 2021

Abstract
Hand gesture recognition is one of the system that can detect the gesture of hand in a real time video. The gesture of hand is classify within a certain area of interest. In this study, designing of the hand gesture recognition is one of the complicated job that involves two major problem. Firstly is the detection of hand. Another problem is to create the sign that is suitable to be used for one hand in a time. This project concentrates on how a system could detect, recognize and interpret the hand gesture recognition through computer vision with the challenging factors which variability in pose, orientation, location and scale. To perform well for developing this project, different types of gestures such as numbers and sign languages need to be created in this system. The image taken from the realtime video is analysed via Haar-cascaded Classifier to detect the gesture of hand before the image processing is done or in the other word to detect the appearance of hand in a frame. In this project, the detection of hand will be done using the theories of Region of Interest (ROI) via Python programming. The explanation of the results will be focused on the simulation part since the different for the hardware implementation is the source code to read the real-time input video. The developing of hand gesture recognition using Python and OpenCV can be implemented by applying the theories of hand segmentation and the hand detection system which use the Haar-cascade classifier.
Control Structures Implementation to Allow High Penetration of a VSC within an Isolated Power System
Authors: Curto D , Favuzza S , Musca R , Navarro Navia M , Zizzo G 
Published: February 2021

Abstract
: Recently, the increasing occurrence of power instability caused by alternative energy sources has attracted the possibility of implementing Energy Storage System (ESS), capable of supplying the energy necessary to improve the energy quality within the grid. Therefore, the attention of researchers has been drawn on the behaviour that has the connection of the ESS, based on internal controllers such as Virtual Synchronous Machine (VSM) and a Classical Control Cascade (CCC), for different ESS power ranges. In this context, this paper deals with the implementation of an ESS represented by a Voltage Source Converter (VSC) employing control techniques of VSM and CCC simulated in PScad environment in three cases: in the first case, the power system in the steady-state is seen during the description of the controls; in the second case, the power system in the presence of a fault; in the third case, the power system with a load at the PCC. Finally, a fusion CCC-VSM using a grid impedance estimator is implemented with different current reference controls considering Short Circuit Ratio (SCR) values that represent the weak and robust grid
Influence of nanosilica, metakaolin and Polypropylene Fiber on dynamic and physicomechanical properties of Portland cement mortar
Authors: El-Kattan Ibrahim M , Tawfik T A , Metwally K A , Faried A S , Zakid W 
Published: February 2021

Abstract
This study presents an experimental research conducted to inspect the impact of partial substitution through the usage of nano silica (NS) and metakaolin (MK) on cement mortars (CMs). Besides to, the effect of the additive usage such as polypropylene (PP) on the dynamic and physicomechanical properties of CMs as single and combined effect. CM was formed through the usage of different substitution ratios of nano silica varying from 2 to 6% and metakaolin varying from 10 to 30 wt %, by cement weight, where the considered content for PP fiber was at 0.2%. Scanning electron microscopy (SEM), ultrasonic pulse velocity (UPV), flexural strength, and Compressive strength analysis are demonstrated in this paper. Results illustrated that, physicomechanical and dynamic properties of CMs positively enhanced as a result of using a mixture of PP, nano silica, and metakaolin. The CMs that included 0.2% PP, 4% NS, and 20% MK, showed the highest impact on physicomechanical properties compared to other mortar specimens.
Green data collection strategy in the science domain for environmental sustainability
Authors: Egirani Davidson E , Shehata Nabila 
Published: February 2021

Abstract
There is a recognition by modern communities world-wide, that the steadily increasing level of activities in the science domain and population growth, lead to an increase in environmental pressure on critical areas. There is a need, therefore, for stakeholders to critically appraise principles, policies, and practices that could lead to the best practices required for sustainable science activities and environmental management that is driven by green data collection, green principles, and green practices. The models involved in green data collection in science include finance-environment-community-science domain model (FECS), environment-community-science domain-finance model (ECSF), and the science domain, finance, environment-community model (SFEC). SFEC is a novel framework and is being applied in the management of active science domain, abandoned science domain, thus, providing reasonable economic and environmental benefits to the science players and non-science communities. The green data collection strategy is for enhancing social, economic, and environmental resource performance. This strategy has been tested in the Philippines. The formulation of the green data collection strategic framework involved a desktop review of previous and existing local, regional, and national data collection strategies. Consequently, visits are made to active science domain and discussions held with stakeholders. In this paper, the role of information, education, and communication have been revisited and fits adequately into the novel “green data collection model” being advanced for all players in the science domain. The absence of this framework poses the most challenging aspect of prosperity offered by the quality, quantity, diversity, and the sustainability of the science domain. Therefore, this paper has discussed the content of the green data collection strategic plan, anchored on a sustainable-controlled planning cycle. This approach could drive and sustain the harmony between man, science, and the environment.
A novel merging solar parabolic collector with thermoelectric generator using geothermal energy
Authors: Atta A E , Shehata Nabila , Mohamed Hamdy F M , Ali Mohamed R. O. 
Published: February 2021

Abstract
Geothermal energy is probably the biggest wellspring of sustainable power sources. Compared with sunlight and wind power the geothermal power has numerous focal points, including being impenetrable to climate changes, having a steady base burden, and high heat productivity (for the high-temperature geothermal assets). In any case, the total capacity of installed geothermal energy plants falls behind sun based and wind. In this work, the geothermal power has been converged with solar energy. A test model concentrator thermoelectric generator utilizing an explanatory dish concentrator was created and tried. A sunlight-based gatherer has been utilized as the hotspot for the hot side of the thermoelectric module and the geothermal power has been applied as the cold wellspring for the cold side for the thermoelectric module. An electric flow as per the Seebeck hypothesis has been produced, as another wellspring of the sustainable power source. The capability of utilizing concentrated sunlight-based power age framework dependent on the thermoelectric module and geothermal power has been examined. The maximum voltage 11.7 V was obtained in the present work, when the maximum temperature for the hot side 93 °C and cold side 21°C.
Catalytic thermochemical cracking of polyethylene over nanocomposite bentonite clay
Authors: Hamouda A S , Acharjee P , Abdelrahman A , Radwan A M , Zaki A H , Farghali A , Mohamed H F M , Yadav A , Bhatnagar A , Goel A 
Published: February 2021

Abstract
Catalytic thermochemical cracking of polyethylene has been investigated in presence of a series of bentonite clay based nanocomposite with a view toward assessing their suitability in a process for converting plastic waste to fuel. Metal oxides such as manganese oxide (MnO), titanium oxide (TiO2) and zinc oxide (ZnO) were impregnated with sodium montomorillonite bentonite. The clay catalysts were characterized by x-ray diffraction (XRD), scan electron microscope (SEM), transmission electron microscope (TEM) and energy dispersive x-ray (EDX) spectrometers. The effect of different catalysts on the composition and the yield of gaseous was evaluated. ZnO nanocomposite bentonite clay achieved the highest methane gas formation around 93%. The superior catalytic performance of nanocomposites is probably attributed to their uniform dispersed of oxides particles on montmorillonite support.
Effect of nanoparticles of feldspar and hematite using different levels of chemical potassium fertilizer on yield and protein production of wheat
Authors: El-Wahab Maha M Abd , Gabriel Magdy Y , Raslan Mai , Farghali Ahmed A 
Published: February 2021

Abstract
The study was conducted to investigate the wheat yield affected by different concentrations of chemical Potassium (K) (0, 25%= 28.6, 75%= 85.7 and 100%= 118.0 kg Kha
−1 recommended rate, KRR), with and without the application of foliar spraying of feldspar nanoparticles solution and different iron treatments (using foliar spraying of 0.3% twice from ferrous sulphate, or natural hematite nanoparticles). Two field experiments were conducted at two different locations; the first was at the Agricultural farm of Sids Agricultural Research Station (ARC), and the second was at a private farm at Sids village in 2018/2019 season. Grain, straw and biological yields, nitrogen content, protein content, and protein yield were determined. Results showed that increasing K levels up to 118.0 kg Kha
−1 increased grain, straw, biological yields nitrogen, protein content, and protein yield. Foliar spraying of feldspar nanoparticles or ferrous sulphate or hematite nanoparticles enhanced all the above-mentioned parameters. Combined 75% KRR with feldspar nanoparticles showed yields and quality of wheat equal to those under 100% KRR. Foliar spraying of hematite nanoparticles has equal effect on wheat productivity as ferrous sulphate. The highest wheat yields and protein characteristics were achieved for the treatment of 100% KRR or 75% KRR with foliar spraying of feldspar nanoparticles and foliar spraying of ferrous sulphate or hematite nanoparticles. To conclude; the study revealed the possibility of saving about 25% KRR by foliar spraying of natural feldspar nanoparticles, and using hematite (iron oxide) nanoparticles instead of ferrous sulphate.