bluuebunny/crossref_metadata_2025 huggingface dataset:
Reaction barriers on non-conducting surfaces beyond periodic local MP2: Diffusion of hydrogen on α-Al2O3(0001) as a test case
Authors: Mullan Thomas , Maschio Lorenzo , Saalfrank Peter , Usvyat Denis
Published: January 2022

The quest for “chemical accuracy” is becoming more and more demanded in the field of structure and kinetics of molecules at solid surfaces. In this paper, as an example, we focus on the barrier for hydrogen diffusion on a α-Al2O3(0001) surface, aiming for a couple cluster singles, doubles, and perturbative triples [CCSD(T)]-level benchmark. We employ the density functional theory (DFT) optimized minimum and transition state structures reported by Heiden, Usvyat, and Saalfrank [J. Phys. Chem. C 123, 6675 (2019)]. The barrier is first evaluated at the periodic Hartree–Fock and local Møller–Plesset second-order perturbation (MP2) level of theory. The possible sources of errors are then analyzed, which includes basis set incompleteness error, frozen core, density fitting, local approximation errors, as well as the MP2 method error. Using periodic and embedded fragment models, corrections to these errors are evaluated. In particular, two corrections are found to be non-negligible (both from the chemical accuracy perspective and at the scale of the barrier value of 0.72 eV): the correction to the frozen core-approximation of 0.06 eV and the CCSD(T) correction of 0.07 eV. Our correlated wave function results are compared to barriers obtained from DFT. Among the tested DFT functionals, the best performing for this barrier is B3LYP-D3.
CD81 costimulation skews CAR transduction toward naive T cells
Authors: Schultz Liora M. , Czerwinski Debra K. , Levy Ronald , Levy Shoshana
Published: January 2022

Significance

Chimeric antigen receptors (CARs) are engineered, artificial T cell receptors that can redirect cytotoxic immune T cells to eliminate cancer. Previous reports describe the benefit of less differentiated naive T cell subtypes for the purpose of CAR therapy. Here we test CD81, a T cell costimulator that preferentially activates naive T cells, for CAR engineering. We show that CD81 costimulation of naive T cells prior to CAR transduction can lead to enhanced CAR expression in this T cell subset.
Sirt6 regulates lifespan in
Drosophila melanogaster
Authors: Taylor Jackson R. , Wood Jason G. , Mizerak Evan , Hinthorn Samuel , Liu Julianna , Finn Matthew , Gordon Sarah , Zingas Louis , Chang Chengyi , Klein Mark A. , Denu John M. , Gorbunova Vera , Seluanov Andrei , Boeke Jef D. , Sedivy John M. , Helfand Stephen L.
Published: January 2022

Significance

Sirt6 is well known for its role in regulating the aging process, particularly for its ability to extend lifespan in mice when overexpressed. However, the underlying molecular mechanisms responsible for lifespan regulation by Sirt6 are not well understood. Here, we characterized dSirt6 in fruit flies (
Drosophila melanogaster
). We found that dSirt6 functions very similarly to mammalian Sirt6 at the molecular and biochemical levels. Furthermore, overexpressing dSirt6 increased lifespan in flies.
dSirt6
overexpression extends lifespan, in part, by opposing the activity of Myc, a master regulator of protein synthesis, which is associated with decreased protein synthesis. These findings have relevance for the treatment of age-related disease by modulating Sirt6 activity.
A case of convergent evolution: Several viral and bacterial pathogens hijack RSK kinases through a common linear motif
Authors: Sorgeloos Frédéric , Peeters Michael , Hayashi Yohei , Borghese Fabian , Capelli Nicolas , Drappier Melissa , Cesaro Teresa , Colau Didier , Stroobant Vincent , Vertommen Didier , de Bodt Grégory , Messe Stéphane , Forné Ignasi , Mueller-Planitz Felix , Collet Jean-François , Michiels Thomas
Published: January 2022

Significance

Successful microbial infections typically involve the subversion of host immune pathways by pathogen-specific virulence factors. Here, we uncovered that viruses and bacteria independently evolved effectors targeting the same conserved loop of the mitogen-activated protein kinase (MAPK) p90-ribosomal S6-kinases (RSKs). Kinase usurpation relies on a previously unidentified short linear motif (SLiM) shared by these virulence factors. Mechanistically, RSK kinase binding prevents its dephosphorylation, thus promoting its phosphorylating activity. Remarkably, while viruses and bacteria evolved an identical mechanism of kinase activation, downstream effect diverged, effectively disarming different arms of the immune system according to their own need. This is a prominent illustration of trans-kingdom convergent evolution across microbial pathogens to usurp key signaling kinases.
Yinbian yanyu in twentieth-century China
Authors: Dai Yun-fang
Published: January 2022

The blended concept of translaboration has received considerable attention since 2015 when it was introduced by Alexa Alfer and colleagues. Yinbian yanyu [An English Poet Reciting from Afar], Lin Shu and Wei Yi’s collaborative translation of Charles and Mary Lamb’s Tales from Shakespeare, is a typical product of translaboration in twentieth-century China. Following a social historiographical path, this article seeks to identify contributions of the various stakeholders who participated in the production of Yinbian yanyu as well as its reception. By exploring what role translaboration played in the success of this translation, this article aims to present a more comprehensive view of translaboration as a concept and its applicability as an interdisciplinary tool.
Private Land, Public Interest: Securing Community Access to Private Lands for Mountain Biking and Amenity Migration in Canada
Authors: Wahl Jeff , Parker Pete
Published: January 2022

In order to support diversified forms of economic and community development, rural communities are increasingly investing in recreational opportunities on neighbouring lands, including agri-tourism and mountain resort development. However, in communities where significant proportions of peripheral land holdings are privately owned, opportunities for recreational land access and development are restricted or threatened. The Village of Cumberland, located on Vancouver Island, British Columbia, is home to a premier network of mountain biking trails developed by local users on a mix of both public recreational and privately owned industrial land. Without the existence of a formalized land use agreement between local public, private and not-for-profit land interests, the value of Cumberland’s mountain biking trail network cannot be wholly realized. This case study details the collaborative land use management partnership that has been developed in Cumberland in order to support economic and community development through amenity migration and the promotion of recreational mountain biking. Through sharing the costs and benefits of managing private land use, Cumberland’s multi-sector stakeholders have ensured that their individual strengths are utilized and unique interests are addressed.

Information

Vancouver Island University World Leisure Centre of Excellence Main image: Burns Lake bike trails By Britcruise - Own work, CC BY-SA 3.0,
https://commons.wikimedia.org/w/index.php?curid=15729806

© Jeff Wahl and Pete Parker 2015
Electron collision studies on the

CH2+

molecular ion
Authors: Chakrabarti K , Mezei J Zs , Schneider I F , Tennyson J
Published: January 2022

Calculations are performed for electron collision with the methylene molecular ion

C
H

2

+

in its bent equilibrium geometry, with the goal of obtaining cross sections for electron impact excitation and dissociation. The polyatomic version of the UK molecular R-matrix codes was used to perform an initial configuration-interaction calculation on the doublet and quartet states of the

C
H

2

+

ion. Subsequently, scattering calculations are performed to obtain electron impact electronic excitation and dissociation cross sections and, additionally, the bound states of the CH2 molecule and Feshbach resonances in the e-

C
H

2

+

system.
Numerical characterization of the breakdown process of dc-driven micro-discharges sustained by thermionic emission
Authors: Zhong Yujie , Wu Hao , Li Xiandi , Gao Jiamao , Jiang Wei , Zhang Ya , Lapenta Giovanni
Published: January 2022

Because of the larger surface-area-to-volume ratio, micro-discharges can be sustained by surface emission processes. If the cathode is heated, a micro-discharge can be sustained mainly by thermionic emission. However, we still know little about how this kind of plasma is ignited and sustained. In order to explore the breakdown process of dc-driven micro-discharge sustained by thermionic emission, a one-dimensional implicit particle-in-cell/Monte Carlo collision method is adopted, coupled with the external circuit and thermionic emission model. The breakdown process of micro-discharge lasts about 8

μ

s

, and this process can be roughly divided into two phases, i.e. pre-breakdown and breakdown phase. The dynamic plasma parameters during the evolution process are analyzed, such as particle density, electron energy distribution function, electric potential, average particle temperature, and particle current density. The plasma electrical characteristics as well as the article and power balance, are also presented to show the evolutionary features of the whole gas breakdown process.
Improved performance of IT-SOFC by negative thermal expansion Sm0.85Zn0.15MnO3 addition in Ba0.5Sr0.5Fe0.8Cu0.1Ti0.1O3−δ
cathode
Authors: Jia Xusheng , Lu Fei , Liu Kang , Han Mingkang , Su Jinrui , He Hao , Cai Bin
Published: January 2022

To improve performance of intermediate temperature solid oxide fuel cells (IT-SOFCs), the negative thermal expansion (NTE) material Sm0.85Zn0.15MnO3 (SZM) is introduced in Ba0.5Sr0.5Fe0.8Cu0.1Ti0.1O3−δ
(BSFCT) cathode. XRD results indicate that BSFCT, SZM and Ce0.8Sm0.2O2−δ
(SDC) oxides have good chemical compatibility up to 1173 K. The average linear thermal expansion coefficient of BSFCT–xSZM (x = 0, 10, 20 and 30 wt.%) decreases markedly from 29.2 × 10−6 K−1 for x = 0 wt.% to 15.6 × 10−6 K−1 for x = 30 wt.%. The electrochemical performance of single cells with configuration of NiO–BZCY|SDC|BSFCT–xSZM is comparatively investigated in the 773–973 K. The best performance is observed for x = 20 wt.%, which should be caused by the balance between thermal matching of cathode/electrolyte layers and oxygen reduction reaction activity of composite cathodes. The corresponding peak power density in the 773–973 K is 136–918 mW cm−2, which is 249%–64% higher than that (39–559 mW cm−2) with single BSFCT cathode. Due to the existence of electron blocking layer at anode/electrolyte interface, the open circuit voltage of all cells is higher than 1.0 V. In short, the introduction of NTE oxide in conventional cathode materials may provide an effective strategy to enhance the performance of IT-SOFCs with electron blocking layer.
Quantum algorithm for credit valuation adjustments
Authors: Alcazar Javier , Cadarso Andrea , Katabarwa Amara , Mauri Marta , Peropadre Borja , Wang Guoming , Cao Yudong
Published: January 2022

Quantum mechanics is well known to accelerate statistical sampling processes over classical techniques. In quantitative finance, statistical samplings arise broadly in many use cases. Here we focus on a particular one of such use cases, credit valuation adjustment (CVA), and identify opportunities and challenges towards quantum advantage for practical instances. To build a NISQ-friendly quantum circuit able to solve such problem, we draw on various heuristics that indicate the potential for significant improvement over well-known techniques such as reversible logical circuit synthesis. In minimizing the resource requirements for amplitude amplification while maximizing the speedup gained from the quantum coherence of a noisy device, we adopt a recently developed Bayesian variant of quantum amplitude estimation using engineered likelihood functions. We perform numerical analyses to characterize the prospect of quantum speedup in concrete CVA instances over classical Monte Carlo simulations.
Simulation of photomultiplier tube malfunction and its effect on SPECT imaging system
Authors: Oktaviana A T , Meireni M , Fahmi K
Published: January 2022

Ring artifact appears on the image from SPECT (Single Photon Emission Computed Tomography) imaging system is related to the uniformity. Generally, ring artifacts arose due to the poor performance of the photomultiplier tubes (PMT) in the gamma camera. If one of the PMT cannot perform optimally, defects known as ring artifacts on the image will occur. Detecting the position of the PMT malfunction is a challenge. To study the detection of ring artifacts due to PMT malfunction, artifact reconstruction was conducted by masking one of the PMT on the gamma camera using a copper sheet sizes 4 × 4 cm2 and thickness 1 mm. The position of the copper sheet was varied on the horizontal (x) and vertical (y) axes from the center of the detector. Jaszczak phantom without inserts (cold rods and sector cold rods) was used as an imaging object during acquisition. The image results obtained are ring artifact if the copper sheet is positioned on the (x,0), and half-ring artifact on the (0,y).
Teaching for conceptual change on Newton’s First Law
Authors: Syuhendri S
Published: January 2022

Teaching for conceptual change used to overcome misconceptions is a teaching that explicitly intended to facilitate students to have experience conceptual change learning. The Prerequisites for this learning are dissatisfaction, intelligibility, plausibility, and fruitfulness. It was implemented a teaching approach for this purpose on Newton’s First Law by a quasi experimental research method with pre-test and post-test control group design. The sample was selected based on convenience sampling. The instrument used was the Force Concept Inventory translated to Indonesian (Ind-FCI) for the domain of Newton’s First Law. The independent sample U-test by α = 0.05 was used to test the hypothesis. The effectiveness of shifting of students’ conceptual understandings toward the true concepts was determined by the N-gain value. The result was the mean N-gain of the experimental and control group were 49.15% and -3.85% respectively. There was a significant difference of increase in students’ conceptual understanding between those who were taught using the conceptual change approach and conventional one. Therefore, the teaching for conceptual change can be used to help students to reduce their misconceptions.
The use of magnetic data from swarm satellite as an efforts to estimate the potential of iron sand in the south Bawean Island area
Authors: Widyawati T , Susilo A , Wiyono  , Sunaryo  , Wardoyo A B P , Karimah
Published: January 2022

This study describes the use of magnetic data obtained through the Swarm satellite and launched by the Europan space agency to estimate iron sand deposits in the southern part of Bawean Island, Gresik Regency. Data processing in this study was carried out using Microsoft Excel and Oasis Montaj software. The interpretation process in this study was carried out in two stages, namely the qualitative interpretation stage using contour residual anomaly maps and quantitative interpretation using 2D and 3D modeling. The interpretation results show that the aeromagnetic data used can be used as initial data in estimating sand deposits in the southern part of Bawean Island, Gresik Regency.
Development of Low-Cost IoT based data acquisition system for real-time monitoring of volcanoes seismicity
Authors: Santoso D R , Maryanto S , Putro T , Priswanto A
Published: January 2022

This paper describes how to develop a low-cost data acquisition (DAQ) system for real-time remote monitoring of volcano seismicity. The DAQ system is developed based on IoT platform, consists of several module devices both hardware and software, and installed in two places called seismic-stations (SS) and observation-post (OP). In the implementation, the SS is placed on the body of the volcano meanwhile the OP is usually placed at a certain distance from the SS with more adequate electrical and communication facilities. In this design, the SS consists of seismic sensors and a digitizer, whereas the OP consists of a computer server and ADSL modem. Communication between SS and OP conducted by using a 5 GHz Wi-Fi telemetry system. At the OP, the data is processed to produce the form of digital seismograms, hypocentres, arrival times, and signal magnitudes in SAC or mini seed file formats by Earthworm software. Database server for cloud access is created using Winston Wave Server (WWS) and MySQL Data Base Management Systems (DBMS). The seismic data can be accessed in real time remotely by users using the SWARM application via website access.
Application of Uncertainty Analysis in Evaluation of Marine Engine Simulator
Authors: Shen Henglong , Cao Hui , Liang Shiyuan
Published: January 2022

Aiming at the problem of fuzziness and randomness in the evaluation process of marine engine simulator, a comprehensive evaluation model based on subjective and objective combination weighting method and cloud model method is established on the basis of single subjective and objective combination weighting method. Firstly, the combined weighting method is used to determine the comprehensive weight; Then, the standard cloud model is generated by using the cloud model method, and the digital characteristics of the evaluation cloud are obtained through the sample data and cloud computing rules. The digital characteristics of the evaluation cloud are obtained by the backward cloud generator and comprehensive weight; Finally, the similarity between the generated evaluation cloud and the standard cloud model is calculated, so as to evaluate the operation of the student marine engine simulator. The example analysis shows that the evaluation method can scientifically and reasonably evaluate the crew’s operation ability, and is feasible and effective.
Simulation and Design of Rising-Sun Anode Blocks for Magnetrons with Two Outputs of Energy
Authors: Churyumov Gennadiy , Qiu Shuang , Wang Nan-nan , Li Wei , Gerasimov Volodymyr , Frolova Tetyana
Published: January 2022

This paper presents the simulation results of the oscillation modes excited in the interaction space of an anode block of a magnetron and the azimuthal distributions of a longitudinal electric component of the RF field for either of the excited modes. Using CST code, there were considered available anode blocks with different configurations of the resonators: a rising sun anode block and a rising sun hole-and-slot anode block. The dispersion characteristics and distributions of the azimuthal components of the RF field for different geometrics of their cavities as applied to the X- and Ku-bands are given. The condition of acceptable separation both in frequency and in phase velocity between the operating JV/2 -mode (or 7T-mode) and neighboring (JV/2 - l)-mode has been determined. It suggested that the mechanism of forming the total RF field connects with possible interference of the RF fields excited severally in the resonant system consisting of the small and large cavities. The features design of the magnetrons with two energy outputs is presented, and their application in practice is determined. The results of the simulation are in good agreement with the experiment.
Simulation of Wide Band BAW Filter for N78 Application
Authors: Lv Lu , Shuai Yao , Luo Wenbo , Wu Chuangui , Zhang Wanli
Published: January 2022

Based on the requirements of large bandwidth filters for 5G communications, finite element models for material analysis and filter design are established. Characteristics of lithium niobate under different cut angle are simulated, and 36° Y cut lithium niobate is used in resonator with SiO2/Mo acoustic reflector. The influence of top electrode is evaluated and the area of the electrode is designed. A method of co-simulation using finite element model and modified Butterworth van Dyke model is introduced. A wide band filter with relative bandwidth of 10.1% is designed while the insertion loss is less than 2 dB, which can satisfy the requirement of N78 band.
Heart Sound Classification Method Based on Complete Empirical Mode Decomposition with Adaptive Noise Permutation Entropy
Authors: Wu Quanyu , Liu Meijun , Ding Sheng , Pan Lingjiao , Liu Xiaojie
Published: January 2022

This paper proposes a method of complete empirical modal decomposition with adaptive noise (CEEMDAN) arrangement entropy as a characteristic vector of heart sound signal and support vector machine (SVM) as a classifier to classify heart sounds. Firstly, PCG is decomposed into a few intrinsic mode functions (IMF) from high frequency to low frequency with CEEMDAN. Secondly, this method uses the correlation coefficient, energy factor and signal-to-noise ratio of the IMF and the original signal to optimize IMFs for Hilbert transform getting instantaneous frequency. Making use of the instantaneous frequency calculates arrangement entropy of each IMF. These arrangement entropy values form a feature vector. Finally, the extracted features were classified by help of support vector machine (SVM) with the mark of normal and abnormal heart sounds. The 100 heart sound samples from the 2016 PhysioNet /CinC Challenge were classified between normal and abnormal, and experimental results show that this method can effectively improve the recognition accuracy. The classification results of support vector machine reach 87%, and are better than Fisher discrimination methods.
The Application of Computer Technology in Mathematical Modeling
Authors: Hu Jing
Published: January 2022

Based on the analysis of mathematical modeling, this paper further expounds the application of computer technology in mathematical modeling. The specific role of computer technology mainly includes establishing mathematical modeling by using computer programming and using computer software. At present, the development of mathematical modeling cannot be separated from the support of computer technology. Through the specific analysis of computer technology model formula, the value of computer technology to mathematical modeling is clarified.
Flutter Suppression of Wind Turbine Blade based on Adaptive Fuzzy Sliding Mode Control
Authors: Wang Yingbo , Sun Changle , Sun Haipeng , Zhang Xiaolin , Liu Tingrui
Published: January 2022

Aiming at the divergent unstable vibration of wind turbine blades, an adaptive fuzzy sliding mode control algorithm based on sliding mode control is proposed to solve the classic flutter fracture failure problem of blades. The structural model is a typical blade section model based on spring-mass-damper, and the aeroelastic equation is obtained by combining the steady aerodynamic model suitable for pure pitch motion. The adaptive fuzzy sliding mode controller gives the pitch signal, and the second-order pitch actuator performs the pitch action to suppress flutter. The saturation function with variable boundary layer thickness is used instead of symbolic function, and the approach rate parameter is adjusted appropriately by fuzzy rules, so as to realize variable-parameter adaptive fuzzy sliding mode control. Simulation results show that, compared with the traditional sliding mode controller, the proposed control algorithm can not only suppress the classical flutter, but also effectively reduce the amplitude and frequency of chattering, and has good robustness.
Combating Covid19 Using a Mobile App
Authors: Wijaya A H , Andhini T M W , Rahmadi Y P , Warnars H L H S
Published: January 2022

Through this pandemic, the world has experienced two major crises, health crisis, and economic crisis. It would be dangerous for us to continue with our “normal” daily lives. We have been forced to stay at home, and some have been dismissed from their jobs; even street vendors are forced to close. The primary purpose of this paper is to represent our solution idea on the troubles regarding COVID-19 to help and support people by providing them all the information and services needed about the COVID-19, such as the high-risk COVID-19 area, statistical growth, safety tips, online swab test booking, etc. through a mobile-based application. In this paper, we designed a model with the use case and class diagrams and implemented using Android Studio.
Design and Implementation of Virtual Campus Roaming System Based on Unity3d
Authors: Li Yuxuan , Luo Hua , Zhou Yiren
Published: January 2022

With the rapid development of Internet technology and the maturity of 5g technology, virtual reality gradually appears in the public vision, and its involved fields are also expanding. Using virtual reality technology and head mounted display, users’ immersion and authenticity can be improved to the greatest extent. In this paper, an immersive virtual campus roaming system is realized by using 3ds Max tool to create a model, unity 3D tool to build a scene, c# language to write human-computer interaction script, and action one headset device to take Nanchang Institute of technology as an example.
Stability Control of Transport Robot Based on Iterative Learning Control
Authors: Liu Tingrui , Ding Yan , Wang Pan , Zhao Kang , Jia Jiahao
Published: January 2022

In this study, stability control for transport process of transport robot subjected to 2R manipulator movement, is investigated based on iterative learning control (ILC). The joint positions, speeds and accelerations are used as variables to establish the expression of driving torques of manipulator joints. According to the experience, the linear interference torque in the process of motion is determined. Three ILC algorithms are applied to achieve stability control, and good trajectory tracking results are obtained. Position tracking, speed tracking, and the maximum position error in the process of tracking are illustrated, and through the absolute value of the maximum error, the optimal iterative algorithm is finally determined.
The Vertex Degree Distances of One Vertex Union of the Cycle and the Star
Authors: Xie Haiyan , Xue Nini , Yang Jingjing
Published: January 2022

The degree distance of a graph is a graph invariant that is more sensitive than the Wiener index. In this paper, we calculate the vertex degree distances of one vertex union of the cycle and the star, and the degree distance of one vertex union of the cycle and the star. These results lay a foundation for further study on the extremal values of the vertex degree distances, and the distribution of the vertices with the extremal values in one vertex union of the cycle and the star.
Radar Cross Section Reduction for the Support System of Electrically Large Objects
Authors: Du Wei , Cui Peng , Zhao Qian , Deng Lewu
Published: January 2022

In the tests of the electromagnetic scattering characteristics of electrically large objects, due to the large object size and the installation height, the physical size of the system is large, and the scattering is strong. In low-frequency bands, cancellation by filtering cannot be achieved, which affects the test accuracy. This study proposes a radar cross section (RCS) reduction design for the target supporter based on a low-scattering structure, and low-scattering models with a flat shape were formed in an array, which reduced the horizontally polarized scattering within ±45° at low frequencies and ensured that the vertical polarization did not deteriorate. Integrated with the corresponding driving equipment, the proposed design can reduce the 360° scattering intensity and improve the cancellation by filtering.
The Design of Computer Network Virus Defense System Based on Data Mining Technology
Authors: Xu Hui
Published: January 2022

With the development of modern society in China, the application of computer technology is becoming more and more extensive. Today, with the gradual popularization of network technology, related computer network viruses are also constantly appearing. These viruses often pass through the loopholes of the network system and now the computer system, and damage the data and malicious tampering in the system.In order to better protect against the harm of computer network viruses, the related data mining technology has emerged.This paper discusses the type of computer network virus and explores the computer network virus defense system based on data mining technology.
Database Programming Technology Based on Computer Software Engineering
Authors: Gong Weiwei
Published: January 2022

Based on practical application, this paper further discusses the database programming technology in computer software engineering. Computer technology has developed to a certain extent and is still active in various fields. However, because the demand for computers in various industries and the requirements for technical performance are different, software engineers are required to develop software systems suitable for enterprises according to their own production characteristics. Because the efficiency and quality of computer software can not reach at present, the programming technology level of database may have a certain impact on the software system.In order for database programming technology to play a full role in various fields, it is necessary to increase investment in database programming technology.This paper analyzes the database technology of computer software engineering in detail. In the process of establishing the actual database programming system, we make full use of the file creation and file access of the database to improve the database programming technology in the current computer software engineering, and then improve the stability of computer software. This paper analyzes computer software engineering, summarizes database programming program, fully realizes the application value of program technology in actual production, and combines database programming technology with the design of computer software engineering project, so as to promote the continuous innovation and development of computer software technology in China.
A Hybrid Optimization Method for Manufacturing Cell Scheduling with Random Interruptions Based on Improved Wolf Pack Algorithm and Simulation
Authors: Zhao Zian , Zhou Hong
Published: January 2022

Cell scheduling is an important issue in the cell manufacturing system. Considering the problems of machine interruption and energy consumption, this paper establishes a stochastic optimization model to minimize the makespan as well as the cost of energy consumption during machine idling and the interruption cost. A hybrid algorithm, based on the wolf pack algorithm (WPA) and simulation, is proposed to solve the problem. In order to deal with the problems of slow convergence speed and easily falling into a local optimum which often happens for the standard WPA, the iterative local search strategy, Cauchy mutation strategy, and Gaussian disturbance are introduced into the search process of WPA to improve its performance. The solution with stochastic parameters is evaluated via simulation. Numerical experiments demonstrate that the proposed hybrid algorithm shows a good performance in both solution quality and convergence speed, and a satisfactory solution to the problem can be reached within a reasonable number of iterations.
Optimization of the Production Preparation Process by Simulation Modeling Methods
Authors: Pollack G A , Palei A G , Buslaeva O S
Published: January 2022

The article describes a stochastic multiphase multichannel queuing system with an unlimited input capacity for the coordination of commercial business deals in an industrial enterprise. To build the model, it is proposed a conceptual map was used. The model allows experiments in the virtual world to optimize the parameters of a real process. As a result of experiments on the model, “bottlenecks” were identified in the process of negotiating deals. Recommendations are proposed to reduce the coordination time, which allows increasing the number of agreed business deals by 3 times.
An Improved Particle Swarm Algorithm with the Elite Retain Strategy for Solving Flexible Jobshop Scheduling Problem
Authors: Wu Mingliang , Yang Dongsheng , Liu Tianyi
Published: January 2022

As a combination optimization problem that an enterprise often encounters in the process of jobshop production management, the flexible job shop scheduling problem has become one of the hot issues that scholars at home and abroad have continuously studied and explored in recent years. With the development of computer technology and the rise of interdisciplinary, intelligent optimization algorithms have gradually become the primary method to solve such problems. Particle swarm algorithm is an evolutionary search calculation method that simulates birds gathering flight, constantly changing their position and speed during movement, and finally reaching the optimal state. However, the application of this algorithm in the field of solving jobshop scheduling is not particularly mature, and there are some shortcomings in its application. Aiming at the disadvantages of particle swarm algorithm that it is easy to fall into the optimal local solution and the slow convergence speed of the algorithm in the later stage, this paper proposes an elite retention strategy and integrates it into the PSO to enhance its later solution ability.
Research and Implementation of an OpenMV-Based Target Edge Detection and Tracking System
Authors: Guo Yong , Yin Jun , Wang Yu , Wu Shikai , Luo Le , Fu Qiang
Published: January 2022

The improvement of ARM microcontroller unit (MCU) processing capability has greatly broadened the application fields of machine vision, and the huge benefits brought by machine vision can be seen in scenarios such as medicare and health, industrial production, military and national defense. Edge detection is a common processing method in image processing, which can provide basic guarantee for subsequent target tracking and other controls. In this paper, OpenMV is used as a hardware platform to extract the edges of a target in combination with specific algorithms, and then the common PID algorithm in the field of automatic control is written in the OpenMV integrated development environment (IDE) using Python language to achieve low-latency tracking of dynamic target objects. In addition, this thesis uses the color threshold tool in the IDE to capture the color threshold of defective product as an eigenvalue, and then calls the Canny operator in the function library and functions such as kernel filtering to process the image. Through actual testing and comparison, it can be found that the image edge is retained more completely after the kernel filtering process. After the general area of the defective products is calibrated on the object to be detected, the defective products can be screened.
Balanced Optimization Design of Aluminum Alloy Impeller Rapid Casting Production Line
Authors: Zheng Wenqing , Zhang Siqi , Fan Yang , Song Aonan , Li Bowen , Lu Yanqiu
Published: January 2022

The improvement and design of the production line is the key to improve the overall efficiency and reduce the total cost of each enterprise. The main purpose of the current rapid casting aluminum alloy impeller is through the determination of reasonable distribution center, production facilities, and the location of the relationship between the warehouse, so as to improve the overall efficiency of the logistics industry, promote interest rate. Reasonable aluminum alloy impeller rapid casting scheme, guiding the future transportation power, logistics innovation is an important factor. The manufacturing industry will continue to advance, and the optimization of production lines for more advanced innovations will be a critical research goal in the future.
Effect of the Electromagnetic Susceptibility of Metal Interconnects: A Simulation Study
Authors: Lin Jinfu , Wang Shulong , Nie Baowei , Liu Hongxia
Published: January 2022

Large induced electromotive force will be generated on the metal interconnections under the action of strong electromagnetic pulse, thereby generating a large induced current. For copper metal interconnects commonly used in modern integrated circuits, large currents will cause electromigration, resulting in short or open in the circuit, causing damage to devices and circuits. In order to study the damage of metal interconnects under the action of electromagnetic pulse, in this paper, the induced electromotive force of metal interconnects under the action of HPM is derived through theoretical analysis, then analyzing the influence of different electromagnetic pulse parameters on the induced electromotive force of interconnects by the use of electromagnetic simulation software COMSOL. Using the established metal interconnect model, the electromagnetic sensitivity effect of metal interconnect is studied by analyzing the electric field distribution, current density and temperature distribution on the interconnect under electromagnetic pulse.
Numerical Simulation Study of Effect of Tunnel Slope on Smoke Propagation
Authors: Wan Dandan , Li Yanfeng , Li Yunfei , Liu Huiqiang
Published: January 2022

Tunnel slope is an important factor affecting smoke spreading for a stopped subway train on fire. In this paper, a multi-scale method where one-dimensional (1D) network is coupled with three-dimensional (3D) field simulation is used to calculate smoke and temperature distributions for a fire occurred in the middle part of the subway train in tunnel. The tunnel slopes of 0‰, 12‰, 21‰ and 30‰ are considered. By comparing the temperature distribution in a condition with natural ventilation and with 2 m/s longitudinal ventilation, we comprehensively analyzed temperature, smoke spread characteristics. Results show that tunnel slope has a great influence on temperature and smoke profile when slope is higher than 12‰. The temperature at 1.8m would exceed the safe limit of 60°C at 60 s after fire ignition. The larger the slope, the higher temperature would be in the train carriage. For a train fire scenario with natural ventilation, within initial 120 s period the train compartment could keep a safe evacuation condition. This research would provide reference for making right evacuation plan of subway tunnel fire.
Design and Development of Wind Turbine Performance Analysis System Modeling
Authors: Chen Debin , Cheng Binbin , Li Dexin , Li Zhouyu , Zhao Tianye , Zhang Jiasheng
Published: January 2022

Wind turbines have been subjected to alternating loads for a long time, and the working environment is harsh, and their performance gradually deteriorates over time. Therefore, it is very necessary to understand the operating status of each component of the wind turbine unit through detailed evaluation of its performance through the monitoring data of the wind turbine unit.This paper designs and develops a wind turbine performance analysis software system based on the related business processes and functional requirements of wind farms. The system can calculate all the indicators related to wind farm and generating capacity, lost electricity and performance of wind farm, helping operators and analysts to achieve more comprehensive, in-depth and professional performance analysis of wind farm, so as to achieve the purpose of intelligent operation and maintenance of enterprises.
A Passive Navigation Algorithm Based on Derivative Dynamic Time Regularization Geomagnetic Matching
Authors: Wang Yiteng , Bao Jinhong , Li Zehua
Published: January 2022

As satellite positioning has shortcomings such as susceptibility to multipath interference, we look forward to using a new algorithm to solve these problems. The method of derivative dynamic time regularization is used as the matching method of geomagnetic navigation. Due to the factors of the inertial device itself, a certain cumulative error will occur in the positioning solution of the inertial navigation (INS). Therefore, an outdoor error model needs to be established, and the positioning error is corrected by filtering technology. To solve this problem, the Unscented Kalman Filter is used to fuse the positioning results of the two to obtain a more accurate positioning, with an average accuracy within 1.5 meters.
A novel method of estimating ship heave motion based on dual inertial measurement units
Authors: Li Jiangfan , Li Liang , Wen Xiaofei
Published: January 2022

In order to estimate the ship heave displacement information in real time and accurately, combined with the ship heave motion model, a dual inertial measurement units (IMU) ship heave displacement estimation method is proposed, the corresponding observer is established, and the heave information of the two Imus is fused. The simulation results show that the dual IMU ship heave estimation method has higher accuracy than the single IMU ship heave estimation method.
Control Design for State transition of Open Quantum System
Authors: Meng Fangfang , Cong Shuang
Published: January 2022

State transition control of open quantum systems is a research hotspot and difficulty. The control method in the light of the Lyapunov stability theory is a common method. Current research shows that if the open quantum systems meet the constraints that the free Hamiltonian is strong regular and the interaction Hamiltonian is fully connected, by devising appropriate control fields in the light of the Lyapunov stability theory, the open quantum system can move to the desired final state. In view of the fact that most practical open quantum systems do not meet these two constraints, this paper propose a control method. The implicit function perturbation terms are introduced into the control fields to resolve the problem that the open quantum systems do not meet these two convergence constraints. And the main control fields are devised in the light of the Lyapunov stability theory to make the state transition of the open quantum systems converging to the desired final state.
Multi-objective Optimization Design of PMASynRM Based on RBF Neural Network
Authors: Shuai Kang , Li Zequan , Zhou Libing , Wang Jin
Published: January 2022

This paper presents an optimized design method of PMASynRM based on the RBF neural network. Firstly, Sobol sensitivity analysis method is used to analyze the mutual influence of the parameter variables of the motor. Then, in order to establish the surrogate model of the finite element model, the samples are obtained by the Latin hypercube sampling method to train the RBF neural network, and the NSGA-? algorithm is used for multi-objective optimization based on the trained RBF neural network. Finally, the optimization scheme is verified by the results of finite element analysis that the proposed method can provide an optimal design.
Research on Double-loop Control Method of Voltage Drop DC-DC Converter Based on Peak Current Mode
Authors: Zhang Qifeng , Cheng Shouhu , An Jianhua
Published: January 2022

This paper mainly studies the dual-loop control algorithm based on peak current mode. The working principle and system structure of the step-down switching power supply are introduced. The system uses PWM modulation and peak current mode to design the converter, and simulates its function in MTALAB/simulink. The result shows that the step-down circuit can basically realize the expected function, with high conversion efficiency and stable output voltage.
Realization of calibration control algorithm for curved surface-oriented machine vision
Authors: Zhang Xinwei , Qi Jianming , Jiao Xinsheng , Zhou Zhiyong
Published: January 2022

Aiming at the problem of the positioning deviation of the composite material surface metallization spraying equipment when spraying the workpiece, in order to ensure the processing quality, the robot vision calibration control algorithm is designed to complete the positioning calibration during the thermal spraying process. The vision calibration system is composed of a control system, a robot system, a vision system and a laser rangefinder. When the system is started, the laser rangefinder transmits the measurement data to the control system in real time, and the XYZABC position compensation data is processed by the control algorithm and transmitted to the robot to complete the vision calibration. Take composite material surface metallization automatic spraying equipment as an example, the result is that the robot system’s planar motion radius is greater than or equal to 2.55m, the height direction motion distance is 3m, the repeat positioning accuracy is ±0.05mm, and the mold positioning accuracy is ±0.08mm. Finally, the composite material surface metal is completed. Chemical spraying operations.
A coupled Lagrangian-Eulerian model for microplastics as vectors of contaminants applied to the Mediterranean Sea
Authors: Guerrini Federica , Mari Lorenzo , Casagrandi Renato
Published: January 2022

The pervasiveness of microplastics in global oceans is raising concern about their impacts on organisms. While quantifying their toxicity is still an open issue, sampling evidence has shown that rarely are marine microplastics found clean; rather, they are often contaminated by other types of chemical pollutants, some known to be harmful to biota and humans. To provide a first tool for assessing the role of microplastics as vectors of plastic-related organic pollutants (PROPs), we developed a data-informed simulation model that accounts for the intertwined dynamics of Lagrangian microplastic particles transported by surface currents and the Eulerian advection-diffusion of pollutants that partition on them through seawater-particle interaction. Focusing on the Mediterranean Sea and using simple, yet realistic forcings for the input of PROPs, our simulations highlight that microplastics can mediate the export of PROPs across different marine regions. Particle origin, in terms of both source type (either coastal, riverine, or fishing-derived) and geographical location, plays a major role in determining the amount of PROPs conveyed by microplastics during their journey at sea. We argue that quantitative numerical modelling approaches can be focal to shed some light on the vast spatiotemporal scales of microplastics-PROPs interaction, complementary to much-needed field investigation.
Theoretical estimation of the drawbar pull for two-axle automotive vehicles
Authors: Preda I
Published: January 2022

The drawbar pull, defined as the amount of force available to an automotive vehicle at the drawbar for pulling or accelerating a load, represents an important characteristic used to define its traction performances. Because the experiments necessary to determine that force are relatively difficult and expensive to realize, a theoretical assessment of that characteristic may be extremely useful to identify the traction potential of the studied vehicle. This paper presents an algorithm able to approximate the realizable drawbar force of an automotive vehicle when it moves on different types of ground. For the computation, the ground characteristics may be adopted from the literature, while the necessary input data of the vehicle is normally given by the manufacturers or can be relatively easily obtained by measurements. The algorithm can be very useful in the primary stages of vehicle design. The paper also presents some influences of the constructive data and driving conditions on the drawbar force magnitude.
A comparative study of calculated and experimental indicated diagrams of a S.I. Engine
Authors: Blaga V , Mitran T , Rus A , Beleş H , Dragomir G
Published: January 2022

The functioning of the engine in a closed loop with lambda sensor and catalyzer makes the excess air factor to be maintained as close as possible to the value 1=1. Based on an own model, the authors realized an analytical calculation of the indicated diagram. The indicated diagram was also raised on an experimental stand in p-V coordinates, and the real indicated diagram in p-a coordinates. The equations for the thermal processes that take place in the engine have been determined and, after that, these were introduced in a computer. Using these equations, the state parameters in the characteristic points of the engine cycle were calculated.