bluuebunny/crossref_metadata_2025_split huggingface dataset:
Island Charging Concept in Archipelago of Indonesia
Authors: Sijabat L H , Setiawan E A 
Published: June 2021

Abstract
Indonesia’s archipelago country has enormous diversity, and potential for renewable energy (solar and wind energy), one of which is located on Timor Island, East Nusa Tenggara Province, but the need to use energy is still minimal. This is due to the lack of welfare of the population, which results in low energy production. Here is a great opportunity for Timor Island to become a new force in developing renewable energy in an archipelago as island charging, which is even the largest in the world. Island charging is expected to increase economic growth for the region by creating new benefits for the islands around Timor Island, which have a wealth of natural resources by supplying the energy needs of the mining industry such as those on Wetar Island, Maluku Province. End of this concept’s is the Levelized Cost of Storage (LCOS) on the Mobile Energy Storage System (MESS), which is influenced by both land and sea modes of transportation.
A New DC Microgrid Voltage Regulation Control Strategy for Photovoltaic Power Plant Based on Variable Power Reserve Level
Authors: Hu Pengtao , Gong Ping , Zhua Yongqiang , Xia Ruihua 
Published: June 2021

Abstract
With the gradual increase of photovoltaic power penetration, in order to ensure the voltage quality of DC micro-grid, photovoltaic power plants need to be able to participate in voltage regulation tasks to cope with the impact of photovoltaic power fluctuations and load fluctuations on voltage quality. Researches show photovoltaic power plants under load-reduction operation can participate in voltage regulation without using energy storage equipment. In this paper, a photovoltaic voltage regulation control strategy with variable load-reduction rate considering photovoltaic power fluctuation is proposed, which can change the load-reduction rate of photovoltaic plants according to the fluctuation of photovoltaic. Then, aiming at the problem of fast voltage change caused by small inertia time constant of DC micro-grid, the method of using photovoltaic backup capacity to provide inertia control for the system is adopted, so that photovoltaic power plants can cope with both photovoltaic fluctuation and load fluctuation at the same time. Finally, a simulation model is established in PSCAD/EMTDC. Simulation results verify that under the proposed control strategy, grid-connected converters for the PV can participate in the DC voltage regulation.
Design of DC motor position tracking system based on LQR
Authors: Xiang Zhengrong , Wei Wenbin 
Published: June 2021

Abstract
In order to realize the accurate tracking of the desired position by the DC motor position tracking system, a control method of the DC motor position tracking system based on LQR was proposed. Based on the modeling of the DC motor position tracking system, the stability, controllability and observability of the system are analyzed. Then, the LQR optimal control theory and the design process of the controller are introduced, and the output angular position of the DC motor is taken as the control object, and several common control methods are compared with the controller algorithm designed in this paper through MATLAB software. Experimental results show that the designed controller algorithm can track the desired position, and the system also has the characteristics of short adjustment time, small overshoot and high tracking accuracy.
Reinforced concrete beams subjected to three-point bending using finite element method
Authors: Afanador García N , Guerrero Gómez G , Nolasco Serna C 
Published: June 2021

AbstractBuildings are generally composed of reinforced concrete elements and understanding the response of these elements to the actions to which they are subjected is crucial for the design of a feasible, safe, and economic structure. This paper analyzes 3D finite element modeling using the commercial software ANSYS for a reinforced concrete beam subjected to three-point bending, simply supported with a doubly reinforced cross-section and transverse reinforcement. This work validated the results of a numerical model with theoretical results for a reinforced concrete beam subjected to monotonic loading. This work was carried out for the civil engineering program of Universidad Francisco de Paula Santander, Ocaña, Colombia, in order to reduce student attrition, increase motivation, and broaden the professional skills of future graduates.
Study of factors affecting hardness behavior of biopolymers based on potato and plantain peels: a factorial experimental evaluation
Authors: Castro H F , Farfán H I , Abril I V , Paredes R A , Roa K L 
Published: June 2021

Abstract
The environmental impact caused by generation of plastic wastes at a global level is significant, during the last year, production of plastic increased by 40% due to the Covid-19 pandemic, demanding in an accelerated way the massive use of disposable personal protection elements. This situation has changed drastically the pattern of human behavior, introducing a lifestyle with greater hygiene that makes necessary to use plastic packaging to cover products, utensils, and food, avoiding any risk of transmission. To combat the massive use of plastic it is necessary to activate the transition towards circular economies that make use of environmentally friendly plastics; this is the case of biopolymers, materials that can be synthesized from organic waste rich in starch. Therefore, in this work, the factors that affect the hardness of polymers made from potato and plantain peels are studied through a factorial experimental design. The design establishes the combination of urea, glycerine, acetic acid, and water, to identify the best combination of plasticizer and their effect on the hardness of the material. Using Minitab, the multivariate linear models of hardness behavior were assessed to achieve the highest hardness values.
A RSTUDIO-based modeling program for dispersion of particulate matter emissions using Gaussian plume equation
Authors: Silveira A G , Maués C S , Guimarães C S 
Published: June 2021

Abstract
Mathematical models allow evaluating the air pollutants effects to the environment under several conditions, being a relevant and a low-cost tool for planning and regulatory purposes. Recent studies have shown the effects of particulate matter on environment and human health, especially cardiovascular and respiratory diseases. This study aims to evaluate the air quality of Volta Redonda, Brazil, due to particulate matter emitted by stationary point sources of a steel industry using meteorological data from three monitoring stations. A mathematical model was developed RStudio®, using the Gaussian dispersion equation and Google Maps API to visualize the results. Davidson-Bryant plume rise equation was included. Observed data revealed southeastern, southeastern, northern and eastern light prevailing winds that were used to simulate particulate matter concentrations for 24-hour periods, under stable and unstable conditions according Pasquill-Guifford classification. The results show that the stations exceed the daily standards determined by the legislation in different scenarios, with Santa Cecília station, being the one that violated these standards the most, reaching an average daily value of 3673.04 µgm -3, with an hourly peak of 7712.76 µgm -3, for the scenario of prevailing northwest winds and wind speed of 1 ms -1. Other stations also violated the standards, with the Retiro station showing better results for the north and northwest wind directions.
Modeling and simulation of an improvement proposal through the method mechanized transplanting
Authors: Orjuela Abril M S , Trujillo Toscano L E , Pabón León J A 
Published: June 2021

Abstract
Rice agriculture in Colombia has high costs and low profitability, compared to rice agriculture in leading countries that are supported in different ways by their governments worldwide. Part of these high costs is due to the deficient technification of the processes, the absence of standardized procedures and the farmers’ lack of resources. This article develops modeling and simulation of the implementation of the indirect seeding method by mechanized transplanting; these results are obtained through the study and definition of technologies for the cultivation method, the description of the process, machinery, equipment, and inputs, which determined the necessary capacity of the production plant through modeling and simulation in software Flexsim. Rice cultivation is one of the main incomes of countries with high population density and poor economy, alternatives and improvement actions are of great importance for the growth of the sector. As a result, there is evidence of improved crop productivity, better water consumption efficiencies by physical analysis (comparison of traditional and technician water consumption) and the necessary capacity of a production plant from harvesting to final packaging.
Software to build dynamical systems models from time series with chaotic behavior
Authors: Cruz J L , Gutiérrez R M , Pastrán C G 
Published: June 2021

Abstract
In physics and other sciences there are dynamic systems that exhibit chaotic behavior. Understanding and predicting the behavior of these systems depends on the ability to build models of them. That is why software written in the python language is being developed that allows us to experiment numerically in an agile and precise way with different models of the dynamics of a time series that presents chaotic behavior. This software has a graphical interface divided into three sections. The first section has tools that allow you to interact with the built models. The second section has tools that allow you to establish whether a time series can exhibit chaotic behavior. The third section has tools that allow models to be built from time series. Finally, using the Lorenz system, an example of the use and utility of this software for the construction of models from time series and its possible usefulness in real data is presented.
Curricula framework for a digital transformation master’s in science and engineering
Authors: Vera-Contreras M J , Vera-Rivera F H , Puerto-Cuadros E G 
Published: June 2021

Abstract
Digital transformation is an interdisciplinary work that has the objective to analyze data in real-time for better decision making, where it involves the modeling and the simulation of physical-mathematical and social processes and the monitoring of machinery that using information and communication technologies. Nowadays the fourth industrial revolution technologies are the driver for this transformation and soon will be quantum computing and other physics and mathematics advances. Therefore, in this academic-scientific work, a curricular framework is proposed for a master’s program in digital transformation for science and engineering; the framework follows the literature review and analysis to formulate the denomination and justification for the master’s degree. The results are (i) a general three-level model as a roadmap for the specific curricular design of a master’s in digital transformation for science and engineering; (ii) the recommendation that a master’s program has a research focus in the two categories established by the Colombian standard (research and practitioner); (ii) finally, a political, economic, social, technological, environmental, and legal analysis justifies a master’s in digital transformation for science and engineering. The research model details the phases that were carried out to characterize and identify the curriculum framework that will be the basis for formalizing the master’s degree document.
Design and research on the adsorption system for self-regulating unmanned cleaning aircraft
Authors: Li Wei , Xie Jiali , Liang Yuan , Yue Shaowu , Lei Yao 
Published: June 2021

Abstract
Cleaning robot is one of the main research directions in the field of glass curtain wall cleaning at present. It has important theoretical research significance and practical application value in high altitude work tasks such as glass curtain wall cleaning and crack detection. At present, cleaning robots are prone to reduce their working stability due to the dynamic uncertainty of the high-altitude wind field environment, and even fall from the sky in serious cases, which greatly affects the safety of high-altitude operation. Therefore, an adsorption system applied to unmanned cleaning aircraft is proposed in this paper. The system has two advantages: (1) through the adjustment of the center controller, the system can be detected in dynamic environment according to the parameters change, the influence of adsorption force to adjust output parameters, the corresponding mechanism, control the automatic adjusting system surface adsorption, are keeping their reasonable adsorption range, thus ensuring the system stability; (2) When the adsorption force adjustment parameter exceeds the adjustment threshold, the system will automatically start the motor to make the rotor work and prevent the cleaning equipment from falling, so as to improve the safety performance of the system.
Design of intelligent throwing robot based on machine vision
Authors: Gong Fan , Zhang Yu Mu 
Published: June 2021

Abstract
Absrtact: An intelligent robot system integrating motion, machine vision and throwing function is designed. The system uses STM32 as the main control chip, realizes the motion control of the robot through mcnaum wheel, completes the image acquisition, recognition and processing of the robot with openmv machine vision module, and realizes the throwing function control of the robot through steering gear and motor. The intelligent throwing robot can recognize and grasp the ball of the corresponding color according to the functional requirements, move to the throwing area of the specified color, and complete the fixed-point throwing of the ball. Through the experimental debugging, the results of the intelligent throwing robot based on the design meet the expected requirements.
Research on Electrical Contact Characteristics of Interference Fit Armature Based on Simulation
Authors: Du Xiang-yu , Liu Shao-wei 
Published: June 2021

Abstract
The electrical contact characteristics between the armature and the rail directly affect the current distribution on the armature and the rail during the launch process, which in turn affects key characteristics such as the thrust of the launcher and the distribution of Joule heat. In this paper, based on the Cooper-Mikic-Yovanovich contact theory, the electrical contact characteristics of the quadrupole electromagnetic orbit launcher under the interference fit condition are simulated, and the simulation results closer to the real current distribution are obtained. Based on the results, the electromagnetic characteristics of the launcher are analyzed. An analysis is carried out and it is pointed out that compared with ideal contact conditions, factors such as contact surface roughness will affect the electrical contact efficiency, which in turn affects the electromagnetic thrust and Joule heating of the launcher.
Building Elevator Safety Monitoring System Based on the BIM Technology
Authors: An Ziliang , Bai Dingsong , Huang Yuxin , Ning Wang , Deng Yuji , Gan Ningli , Liu Shaofeng 
Published: June 2021

Abstract
There are many problems in traditional elevator industry, such as, poor maintenance, unclear elevator operation information and single supervision platform. In this paper, a smart elevator management system based on “BIM + IOT” is proposed. This system combines BIM Technology, Internet technology, embedded technology and software management technology with elevator intelligent management system. It realizes the video monitoring of the whole equipment, equipment status monitoring, multi-party joint rescue and multiplatform information sharing of Government, Enterprise, Property and Maintenance. The system is composed of hardware and software, which realizes the functional coupling between elevator safety and intelligent building, and provides a research direction for Intelligent Building.
Model and Optimization of Low-Frequency Sound Absorption Performance of Multilayer Microperforated Panel Absorber
Authors: Yang Fei , Shen Xinmin , Wang Qiang , Zhang Xiaonan , Duan Haiqin 
Published: June 2021

Abstract
Optimization of the low-frequency sound absorption performance of the multilayer microperforated panel (MPP) absorber is favourable to promote its practical application in the noise reduction. Theoretical model of the multilayer MPP absorber was constructed based on the Maa’s theory for the further optimization. For target frequency range of 100-500Hz, parameters of the multilayer MPP absorbers with layer number of 1 to 4 were optimized through the cuckoo search algorithm according to the certain optimization objectives and the constraint conditions. Judging from the achieved optimal structural parameters for the multilayer MPP absorber with the target frequency ranges and the corresponding average sound absorption coefficients, it could be concluded that the parameter optimization was not only effective, but also be quite necessary. Meanwhile, it could be seen that average sound absorption coefficients of the optimal multilayer MPP absorbers decreased gradually along with increase of the layer number from 1 to 4. Through the optimization of structural parameters of the multilayer MPP absorbers, not only the sound absorption performance could be improved, but also the fabrication cost could be reduced. The research results exhibited outstanding low-frequency absorption performance, and it would be favourable to promote their practical applications to reduce the industrial noise in urban area.
Selection and Analysis of Dual-motor Coupling Device Based on Efficiency Power
Authors: Shuyuan Li , Mengnan Liu , Liyou Xu 
Published: June 2021

Abstract
In response to the needs of electric tractors under multiple operating conditions, a dual-motor power coupling drive system is matched. According to its power transmission requirements, a dual planetary gear train dynamic coupling structure scheme and a multi-planetary gear train dynamic coupling structure scheme are proposed. Through example design, the specific parameters of the two schemes are obtained. The transmission efficiency formulas of the two schemes in multiple modes are deduced, the transmission efficiency in each mode is calculated, and the final transmission scheme of the dual-motor power coupling device is optimized based on the transmission efficiency. It provides a theoretical basis and method for the design and analysis of the tractor power coupling device.
Shape analysis and numerical fitting of boneless wiper reed
Authors: Yunpeng Liu , Jingjing Xu , Xin Wang 
Published: June 2021

Abstract
The boneless reed curve of the car wiper has geometric nonlinearity and variable curvature characteristics. In order to design a geometric curve that satisfies the working performance of the boneless wiper reed, the inverse solution function item in the finite element simulation and the addition of appropriate boundary conditions are used to solve the geometric curve of boneless wiper reed before it is stressed, and verify the accuracy through the known actual reed. To prepare for actual processing, the geometric characteristic parameters of different curves are extracted on the basis of the above. Based on the small deformation linear deflection equation of the beam obtained by the superposition method, a large deformation correction item is added to correct the small deformation equation, and the influence of the length of the wiper buckle on the curve is considered. Construct a correction equation including load requirements, reed geometric dimensions, and material parameters to fit the geometric curve of the boneless wiper reed, so as to provide certain guidance for actual production.
Structural Performance of Subway Aluminum Alloy Car Body Analyzed by Abaqus Software
Authors: Wang Ning , An Ziliang , Bai Dingsong , Liu Shaofeng , Yu Xintong 
Published: June 2021

Abstract
In accordance with the structural performance shortages of the lightweight subway, the verification of the strength and stiffness of subway vehicles is proposed. Then the load combination conditions are divided into 9 operating conditions based on EN12663-2010. With the aid of Abaqus software, the strength and stiffness are judged whether it is qualified. The experimental results show that the aluminum alloy car body structure of Shanghai Line 16 can meet EN12663 and TB/T1335. In this paper, it provides a verification process for the reliability of the strength and stiffness of subway aluminum alloy car body.
The Enlightenment on Prediction and Health Management Technology of Elevator System
Authors: An Ziliang , Bai Dingsong , Gan Ningli , Wang Ning , Deng Jiyu , Huang Yuxin 
Published: June 2021

Abstract
In China, the research on detection technology of elevator fault is relatively late, and most of the technologies are only in the research of theoretical stage and have not yet been tested by practical applications. Organize and summarize the relevant literature and personal research. The research status of fault diagnosis, Prediction and Health Management technology at home and abroad is summarized. And the latest research of elevator fault prediction and health management technology is analysed. Finally, the challenges and the development trend of elevator fault health management are expounded.
Discussion on Industrial Internet Platform Construction Based on Power Internet of Things
Authors: Wang Yao , Liu Weiliang , Zhou Jianqi , Liang Yun 
Published: June 2021

Abstract
At present, the development of industrial Internet platform is in a period of large-scale expansion. Since 2017, China has issued a series of documents, such as the Guidance on Deepening “Internet + Advanced Manufacturing” to Develop Industrial Internet, the Action Plan for Industrial Internet Development (2018-2020), and the Industrial Internet App Cultivation Project (2018-2020), which constantly points out the direction for the development of the industrial Internet industry. The power Internet of Things connects the equipment, customers and data in all links of energy production, transmission and consumption in real time, fully bearing the production and operation of power grid, enterprise management and new business development, etc. It has the characteristics of ubiquitous terminal access, open platform sharing, computing cloud collaboration, convenient and flexible application, etc. This paper aims to discuss how the power Internet of Things can help the construction of the industrial Internet, provide strong data resource support and service for the safe and economic operation of the power grid, improve business performance, improve service quality, cultivate and develop strategic emerging industries, and open up a new road for management innovation, business innovation and value creation.
Analysis method of big data based on K-means algorithm
Authors: Zhang Yichi , Shu Tao , Zhang Pengxiang , Xu Yan 
Published: June 2021

Abstract
Efficient and accurate clustering of massive data is the basic requirement of deep excavation for internal knowledge of data in the information era. Firstly, in the distributed parallel processing framework of Hadoop, the Map Reduce model is applied to operate the K-means clustering algorithm, then the genetic algorithm is utilized to transform the clustering problem of K-means algorithm into the solution of extremum to solve the randomness confirmed in cluster center. After testing, this method has achieved the ideal effect in terms of clustering efficiency and clustering precision, and plays certain role in deeply excavating the internal knowledge rule of data.