bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of an Automatic Palletizer
Authors: Mendoza-Calderón Karen Daritza , Jaimes Jordy Andres Maldonado , Maradey-Lazaro Jessica Gissella , Rincón-Quintero Arly Dario , Cardenas-Arias Carlos Gerardo 
Published: April 2022

Abstract
Industrial automation has become an area in full development and of great importance for all industrial sectors since it allows to improve the productivity of companies and the quality of their products. Currently, factories (i.e., small, or medium) must implement new technologies to increase its production and provide qualified products to enter with force in regional markets and nationals. This article shows the design and start up of an automatic palletizer which will have a manual mode in which each actuator in the system can be operated independently; and an automatic mode that will organize the input elements in the previously established way. For companies that produce in batches, is important to reduce storage spaces in warehouses, dispose of their products in an orderly and practical way for their subsequent dispatch. This last process must be effective and fast so as not to generate inconveniences in the delivery of orders to buyers. Our project is focused to the footwear sector, especially, how to seek greater development and performance of these companies where the packaging time of their products can be optimized so that it can be used in other tasks within the company. Also, the result of this investigation shows the engineering process carried out to obtain a prototype of a functional, automatic, productive, quality, and economic product that meets the customer’s requirements. Improvements that will do and future work are included too.
Development of Two Control Strategies for Tracking the Trajectory of An Unmanned Underwater Structure Inspection Vehicle
Authors: Riaño Yorley Dayana Caro , Prada Sebastián Roa 
Published: April 2022

Abstract
This paper presents the development of two dual-loop control strategies for an underwater Remotely Operated Vehicle, ROV. The first strategy consists of two PID controllers while the second one features a LQG controller in the inner loop, and a PID controller in the outer loop. The transient response of the two strategies is compared when an anti-windup gain is applied and when there is no anti-windup gain, and a way to tune this gain in the case of statespace controllers is proposed. For further comparison, the strategies are simulated for a variable set point, for the three variables to be controlled, x, z, yaw, so that both their tracking and the effect of coupling can be seen. In conclusion, the use of anti-windup gain is recommended for control systems that reach saturation, so that they can react quickly when they are in an operating zone, and the use of a random matrix for the calculation of this gain in state-space controllers is suggested.
Research on Arduino Control System Design of Tencent QQ Software
Authors: Shan Shirui , Lv Zhenwei , Li Wenwen , Zhang Song-zhi , Ye Linan 
Published: April 2022

Abstract
Tencent’s related products occupy the first place in the domestic social software market. This paper explores the Internet of things control method by using Tencent QQ (hereinafter referred to as QQ) application, with the purpose of realizing an IOT system controlled by social chat software. The research finds that: taking user QQ as the instruction sending end, cqhttp as the message transmission center, through the information processing program, instruction judgment program, DSL parsing engine, command transmission program and execution program, and finally through Arduino control electronic components to make relevant actions. A social software IOT control system with simple control mode, flexible design, fast expansion, fast response, good fault tolerance and high security is realized. The implementation of the system can be used as a reference for relevant fans to realize the IOT control system with various IM software.
Dual-loop Hovering Control for Unmanned Helicopter
Authors: Zhang Miao , Ma Jianwei 
Published: April 2022

Abstract
The recent development of unmanned aerial vehicle flight control creates a strong demand for higher control accuracy and control quality. In this paper, the precise control and stable hovering problem are studied for unmanned helicopters. To solve the problem, we propose a hovering controller for dual-loop of unmanned helicopters. Firstly, the nonlinear mathematical model of unmanned helicopters is established based on Newton-Euler’s laws. Then, we respectively design the position model and attitude model. In the position model, we use the cascade PD controller to realize the precise control; In the attitude model, we use the cascade PD controller to realize the stable hovering. Simulation results show the effectiveness of the conclusions made in this paper.
Modeling and Control of One-stage Inverted Pendulum Body Based on Matlab
Authors: Lin Xueyan , Liu Xiaohua 
Published: April 2022

Abstract
In this paper, two mathematical models of the primary inverted pendulum are established based on the Simulink and the Simscape toolboxes of the MATLAB respectively. The inverted pendulum changes from the unstable state to the stable state after performing the state feedback control and the PID control method. Under these two control methods, the overshoot of the Simulink model is 57% and 80% smaller, and the adjustment time is 25% and 20% larger than that of the Simscape model. The control effect of the PID method in the two models is better than that of the state feedback method. The adjustment time of the pendulum rod is 40% and 37.5% smaller, and the overshoot is 82% and 61% smaller than that of state feedback control, respectively.
Reinforcement Q-Learning Based Current Control for Grid-Connected Three-Phase Inverters with Unknown System Dynamics
Authors: Wang Yeteng , Peng Yunjian 
Published: April 2022

Abstract
This paper proposes a Q-learning-based state feedback suboptimal controller to solve the current control problem of three-phase grid-connected LCL coupled inverters with unknown circuit parameters. In practice, the circuit parameters of the inverters will change obviously for reasons such as calculation errors, external environment and operation aging, which makes the dynamics of the inverter system become unknown. With the circuit’s model of the LCL inverters and the reference current dynamic, an augmented system is constructed and a discounted performance function is formulated as the optimal objective of current control which transform it into a H∞ tracking control. Using Q-learning algorithm with model-free characteristics, a current controller is proposed in which an iterative reinforcement learning (RL) algorithm is embedded. Simulations are presented to verify the valid of the proposed control scheme, where especially the results shows that it can keep excellent control performance under the condition of inverter parameter mutation and grid voltage distortion.
Research on Visual Servo Control of UAV Pod Based on Improved PID Algorithm
Authors: Zhao Mingyang , Yan Jie , Shi Dianxi , Wang Yanzhen , Pan Jianhen , Du Jing 
Published: April 2022

Abstract
In view of the traditional PID controller used in the UAV visual servo control, there are problems that the parameter setting is extremely troublesome, and the speed and stability of the system cannot be considered at the same time. An improved PID-based UAV pod visual servo control method is designed. By introducing the concept of integral separation, according to the size of the deviation between the target’s pixel coordinates in the image and the set expected pixel coordinates, it is decided whether the integral control is used or not, which can avoid large overshoot and improve control accuracy. The simulation experiment shows that the visual servo control algorithm based on improved PID has smaller tracking error and higher critical tracking speed than the visual servo control algorithm based on traditional PID, and it has better performance.
An Improved Model-Free Predictive Current Control Scheme for Open-Winding PMSM with Common DC Bus
Authors: Li Yongshen , Zhang Chengning , Li Xueping , Zhou Ying , Zhang Shuo 
Published: April 2022

Abstract
To improve the parameter robustness of the open-winding permanent magnet synchronous motor (OW-PMSM), this paper proposes an improved model-free predictive current control (MFPCC) method. First, the first-order ultra-local model of OW-PMSM is established, which does not contain any motor parameter. Secondly, a sliding mode observer (SMO) is introduced into the model to estimate the current in d-q-0 axis. Then, to suppress the torque ripple generated by the zero-sequence current (ZSC), the central hexagonal modulation strategy and the q-axis current injection method are combined, and the compensation current that needs to be injected into the q-axis is calculated according to the estimated value of ZSC. Finally, after considering the one-step delay, the voltage reference at the next instant is calculated based on the estimated values of d-q axis current and compensation current. Simulation and experimental results indicate that the proposed method can improve the parameter robustness of OW-PMSM, and the performance of current and torque has been improved under various parameter mismatch conditions.
Polynomial Wiener LQG Controllers based on Toeplitz Matrices
Authors: Moir T. J. 
Published: April 2022

Abstract
This paper re-examines the discrete-time Linear Quadratic Gaussian (LQG) regulator problem. The normal approach to this problem is to use a Kalman filter state estimator and Kalman control state feedback. Though quite successful, an alternative approach in the frequency domain was employed later. That method used z-transfer functions or polynomials in the z-domain. The transfer function approach is similar to the method used in Wiener filtering and requires the use of Diophantine equations (sometimes bilateral) to find the optimal controller. The contribution here uses a similar approach but uses lower triangular Toeplitz matrices instead of polynomials to gain advantage of eliminating the use of Diophantine equations. This is because the single Diophantine equation approach fails when the system has non-relative prime polynomials and the need for bilateral Diophantine equations is computationally far more complex.
Smart Dome 4.0: Low-Cost, Independent, Automated Energy System for Agricultural Purposes enabled by Machine Learning
Authors: Budiman Arief S , Gunawan Fergyanto , Djuana Endang , Pardamean Bens , Romeli Sugiarto , Putri Dianing NN , Aji Daisman PB , Rahardjo Kuat , Stevanus  , Ilham Wibowo M. , Daffa Nadiev , Owen Raymond 
Published: April 2022

Abstract
Many economically essential crops in Indonesia (such as coffee, tea, chocolate, or copra) require storage or drying under certain environmental conditions, especially temperature and humidity. The solar dryer dome, typically used for agricultural purposes in Indonesia, produces a sufficient amount of heat to increase the evaporation rate inside the dome and reduce the moisture content of the commodity. A hybrid solar dryer accompanied by a photovoltaic panel, fan, and ventilation system is generally suitable. The system can provide an optimum environment with minimum control. However, as the outdoor temperature and humidity change dramatically, such as at night time, more control is required. Based on Industry 4.0 technologies, we have developed a new kind of hybrid solar dryer that provides an optimum environment 24/7. The system, called Smart Dome 4.0, is an intelligent, low-cost, self-sufficient drying and storage system to support Indonesia Agriculture 4.0. The system has a local power generation unit to self-sustain the required energy and operate without connecting to the electricity grid. The system utilizes a machine-learning algorithm to predict the environmental condition and optimally uses self-generated electric power. The developed Smart Dome 4.0 technology is critical to producing a sustainable solar dome under drastic environmental dynamics.
Design of Low Parasitic Inductance SiC MOSFETs Halfbridge Power Modules
Authors: Wang Yifan , Gong Jinlong , Song Qihua , luo Li , Zhang Bin , Guo Qing 
Published: April 2022

Abstract
The working mechanism of a half-bridge SiC MOSFETs two chips parallel module is studied. Its parasitic inductance of the power module is simulated by using the Ansoft Q3D Extractor software, and its heat transfer mechanism is simulated using the finite element software ANSYS software. Aiming at reducing the parasitic inductance, a new topology of power chips inside the module is designed, which places the chips that are in the same working circuit loop in close vicinity to reduce the whole circuit length and area. Meanwhile, the thermal characteristics are also analyzed. Considering the factors of parasitic inductance and heat dissipation, the optimal module design scheme is finally determined.
Optimization of Bed Demand for Elderly Care Services Based on Leslie Matrix
Authors: Yu Jiawei , Yang Jun 
Published: April 2022

Abstract
With the deepening of the aging process and the weakening of the family’s ability to care for the aged, urban residents will have an increasing demand for elderly care service institutions in the future. Therefore, it is necessary to optimize the prediction of the demand for elderly service beds. In the paper, an optimization method of Leslie matrix is proposed to predict the future trend of the total population and aging by comprehensively considering factors such as birth rate and mortality rate, and analyze and predict the demand scale of elderly service beds according to the distribution of urban and rural areas and economic divisions. Based on the AHP model, the business opportunities for elderly service beds will be transformed into a quantitative evaluation model to analyzing the return rate of pension service investment in different regions. The simulation experiment shows that increasing the total number of elderly care institutions and improving them can effectively solve the insufficient number of elderly service beds.
An Optimization Method for Clearance Value of Electric Submersible Screw Pump
Authors: Fang Wang , Fei Cao , Chunqing Lin , Yaming Li , Wei Xie , Yun Li , Mengshi Yang , Jing Wang , Jingwen Zhao 
Published: April 2022

Abstract
Electric submersible screw pump often works at high speed, which has the characteristics of high speed, high temperature and large rubber deformation. In case of sudden shutdown, the rubber will not shrink at high temperature, which may lead to serious accidents such as pump locking and electrode burning. In the initial stage of pump start-up and restart after pump shutdown, due to the above reasons, it is often difficult to start the pump, which makes the pump unable to work normally. Therefore, this paper studies the clearance value of the electric submersible screw pump, calculates and tests the interference amount and initial interference amount, improves and optimizes the clearance value of the electric submersible screw pump, effectively improves the working efficiency and service life of the electric submersible screw pump, achieves the purpose of improving the quality and efficiency of oilfield production, and has a very important practical significance for the development of the rodless pump market.
X-Ray Pulsar-based Navigation Scheme for Solar System Boundary Exploration
Authors: Wang Y S , Wang Y D , Zheng W , Song M Z 
Published: April 2022

Abstract
For solar system boundary exploration mission, this paper designed an X-ray pulsar-based navigation (XNAV) scheme. The Fisher information matrix is used to choose optimal pulsar observation configuration. Based on the selected pulsar configuration, the accuracy of pulsar navigation and stellar angle navigation is compared. Besides, the navigation performance of XNAV is verified by the orbits of voyager 1, voyager 2 and pioneer 10 respectively. Simulation results show that the pulsar navigation could provide accurate positioning results for solar system boundary explorers.
A Flexible Ethernet Calendar Allocation Based on Client Traffic
Authors: Dai Yong , Wu Xilao , Zhao Jincheng , Song Jiang , Cong Lin , Li Zhicheng , Wang Ying 
Published: April 2022

Abstract
Aiming at the problem of low link bandwidth utilization in the current FlexE client slot allocation mechanism, a FlexE calendar bandwidth allocation mechanism that is compatible with the client data transmission rate is proposed, and the LSTM algorithm is used to predict network traffic data, and according to the client priority and traffic prediction results, the client is allocated with slots. Experiments show that, compared with the traditional FlexE slot allocation mechanism, the method proposed in this paper can make the bandwidth resource utilization rate reach 82.8%.
Transport properties of graphene in proximity with alkali metals
Authors: Peralta M , Vaca-Chanatasig C , Vera-Nieto R , Verrilli D 
Published: April 2022

Abstract
In this work, we propose the analysis of the electronic and transport properties of graphene decorated with Lithium and Potassium adatoms. We will study two inequivalent metal adsorption sites: the Top site, on top of a carbon atom of one sub-lattice of graphene; and the Hollow site, in the middle of a C6-unit. With this end, we will use an analytical Tight Binding Model, for graphene with adsorbate atoms of lithium and potassium, for the two different adsorption positions. Then, we use the Green’s function equation of motion method to calculate the corresponding band structures and density of states, and numerical calculations for the conductance are performed with the quantum transport simulation package of python (Kwant). We find that the bands are down shifted with respect to pristine graphene, indicating a doping with electrons. For the Top case, the AB symmetry breaking produced in this configuration, generates small bandgaps of approximately 170 meV for potassium and 220 meV for lithium. Finally, the conductance is shifted in energy in the same way as the bands, preserving its growing rate with the absolute value of the energy as for pristine graphene.
Photocatalytic activity of Fe/Ti-based compounds obtained from ferro-titaniferous mineral sands via a simple soft chemistry route
Authors: Galeas Salomé , Valdivieso-Ramírez Carla S. , Pontón Patricia I. , Goetz Vincent , Guerrero Victor H. 
Published: April 2022

Abstract
Fe/Ti-based compounds were synthesized from ferro-titaniferous mineral sands using aqueous oxalic acid under subcritical water (sCW) conditions (135°C/50 bar/4 h) and their photocatalytic activity was evaluated against methylene blue or caffeine under UV-A and visible radiation. The X-ray diffraction and Raman spectroscopy analyses revealed that the as-synthetized compounds were mainly comprised of ferrous oxalate, followed by titanium dioxide. This proved the complete transformation of the mineral precursor within 4 h using oxalic acid/sCW as the reaction medium. The photocatalytic studies showed that methylene blue and caffeine were photodegraded under UV-A and visible radiation by the as-synthesized Fe/Ti-based compounds. Methylene blue removal was up to 92.8 and 97.4% after 6 hours under UV-A or visible irradiation, respectively. Caffeine removal, however, reached 69.3 and 59.6% after 16 h of exposure to UV-A and visible light, respectively. The as-synthesized compounds can be potentially used as a ferrous-based catalyst in heterogeneous photocatalysis for decontamination of water systems from organic pollutants.
Research on risk prediction method of software robot based on artificial intelligence
Authors: Kang Zelun 
Published: April 2022

Abstract
Aiming at the problem of software robot’s recognition of life scenes, this paper studies the recognition and judgment method based on AI edge computing. Based on artificial intelligence methods and the theory of edge computing, through the analysis of the overall architecture of edge computing, the scene judgment rules and recognition algorithms are clarified. Mainly, the feature extraction and recognition part of the software robot image recognition function is arranged in the edge server, so that the judgment and recognition can be quickly realized and the system operation efficiency can be improved. The experimental verification shows that: under the same conditions, the software robot identification error of the method in this paper is lower, and the calculation time is shorter than that of other software robots, which is far superior to the traditional identification method. At the same time, by changing the comparison of data receiving methods, it can also be proved that the use of edge computing is more efficient, and the recognition problems in the work of software robots can be realized.
Biocompatible Hydrogel Modified Silicon Nanowire Field Transistor for Highly Sensitive pH Detection
Authors: Li Gangrong , Wei Qianhui , Zhang Qingzhu , Wei Feng 
Published: April 2022

Abstract
In this work, a silicon nanowire field-effect transistor (SiNW FET) device was developed and applied to pH sensing. A hydrogel was synthesized by radical polymerization as the dielectric and functional layer of SiNW FET. The spin coating process of the hydrogel was defined through different rotating speed. The results revealed that the suitable glue mixing process was determined to be 500 rpm/min at low speed and 4500 rpm/min at high speed. We demonstrated the effect of pH solutions on the sensitivity of the SiNW FET sensor modified by hydrogel. The SiNW FET sensor was used to detect a solution pH ranging from 5 to 11, with the response current increasing stepwise as the pH value increased. Compared with SiNW FET, the hydrogel-coated SiNW FET had higher sensitivity and time response rate for pH sensing. The obtained results demonstrated that modification of hydrogels can significantly increase the pH sensing properties of SiNW FET.
Analysis of the phase transition of patch colloidal particles and the molecular dynamics simulation
Authors: Zhou Haolei 
Published: April 2022

Abstract
Anisotropic particle system means that the interaction between particles in the system depends not only on their spatial coordinates, but also on the orientation of each particle due to the influence of many factors such as structure, shape, electronic properties and environment. The introduction of orientation coordinates makes the phase space describing this kind of system have higher degrees of freedom and more complex symmetry. Therefore, the study of its general properties has more basic significance in physics. Patch colloidal particles, which have become one of the research hotspots in the field of soft matter physics in recent years, are a typical mesoscopic physical system with anisotropic interaction. In this paper, the two-dimensional patch colloidal particle system is studied as follows: (1) the phase structure of the system is preliminarily studied and analysed. It is found that the phase behaviour of the system at high temperature is similar to that of isotropic Lennard - Jones system is similar. Under low temperature, the system with low patch coverage has strip structure in the condensed phase and complex self-assembly structure in the gas phase; (2) It is found that the long-term diffusion belongs to isotropic normal diffusion, while the short-term diffusion is anisotropic ballistic diffusion, and the particle motion direction is always perpendicular to the patch orientation; (3) The melting behavior of the system is studied. It is found that the melting is a two-step phase transition, which is the same as that of the two-dimensional isotropic colloidal system;