bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design of a multifuntional nursing wheelchair
Authors: Gao Han , Tang Yuanze , Wang Zhiwen , Wu Qing 
Published: May 2021

Abstract
This paper designs a wheelchair with multi-function nursing ability. With Raspberry Pi as the main control board, it has functions such as assisting in getting in and out of bed, term inal monitoring, intelligent risk avoidance. It also has the ability of rehabilitation training for th e elderly with stroke or similar conditions, to prevent muscle atrophy and other problems cause d by long-term inability to exercise independently. Finally, the lightweight aluminum profile m aterial is used as the main body to complete the prototype production and function verificatio n. The prototype test shows that this new type of intelligent nursing wheelchair has a reasonabl e design, and the integration of multiple functions has brought great convenience to the caregiv ers and users. It has the prospect of large-scale promotion and marketing.
The effect of sensor noise on structural modal parameter identification
Authors: Li Shuai , Wang Ting , Zhao Yang , Deng Congying , Li Xinghong 
Published: May 2021

Abstract
When errors occur in the sensor networks, there are noise in the acquired data. In this paper, based on the response correlation function between two points of the structure, the least squares complex exponential method is used to identify the influence of noise on the structural modal parameters. Through the construction of the steel beam platform experiment, the experiment verifies the influence of the noise in the collected data on the recognition of modal parameters. The results show that when there is noise in the collected response data, the noise component will cause errors in the identification of structural modal parameters, and the lower the modal order, the more sensitive the noise level.
Research of Intelligent Campus Design Based on Immersive BIM + VR Technology
Authors: Wu Bei , Wang Yaning , Liu Ruiqi , Tan Shiye , Hao Ruoyan 
Published: May 2021

Abstract
With the maturity of virtual reality technology, more and more domestic colleges and universities have introduced virtual reality technology into the construction of the intelligent campus, establishing vivid and real three-dimensional virtual campuses, and achieving the goal of campus information, intelligence and visualization. This topic mainly studies the construction process of the smart campus based on BIM + VR technology. Taking the university buildings as the research area, the whole process from basic modeling to content innovation is discussed in detail. The VR smart campus is successfully established, and the innovative application of VR smart campus and campus sightseeing and VR fire simulation escape is realized.
Application of Compressed Air Energy Storage in Urban Buildings Energy Supply
Authors: Wen Xian-Kui , Zhang Hong-Fu , Li Zhi-Lin , Zhong Jing-Liang , Yang Da-Hui , Feng Ting-Yong 
Published: May 2021

Abstract
Urban buildings consume a lot of energy every year. Through analyzing the characteristics of urban buildings energy supply and compressed air energy storage (CAES) and considering the electric energy, thermal and cold energy output from CAES, this paper constructs the overall framework of CAES providing urban buildings with combined cooling, heating and power (CCHP), which can meet the energy demand of urban buildings, improve the system efficiency of CAES, make profit from the peak and valley electric charges difference of power grid, and it also has a broad range of popularization and application.
Failure Characterization and Analysis of Sub-module of Press-Packed Devices in High Temperature Reverse Bias Test
Authors: Ma Hao , Wang Zhenshuo , Li Xuebao 
Published: May 2021

Abstract
The failure of sub-module of press-packed devices in course of high temperature reverse bias (HTRB) test was investigated in this paper. A high temperature reverse bias test platform for press-packed devices was built, which was capable of monitoring and collecting continuous leak current data of devices during the test. Through the analysis of the static characteristics of the chip before and after the high temperature reverse bias test, a method that uses the combination of IV and CV characteristic curves to characterize high temperature reverse bias failure was proposed. By means of finite element analysis to locate the reasons for the change of static characteristics, the accumulated charges around the terminal of chip were considered to be the primary source for the failure of sub-module under the HTRB test.
Action-Improved Actor-Critic Tracking for Accurate Object Tracking
Authors: Hu Yangrun , Wu Ruikang , Gu Yanjun 
Published: May 2021

Abstract
Visual object tracking is a fundamental problem, which tracks the target in the whole sequence with the given object in the first frame. Numerous tracking frameworks have been proposed. Actor-Critic Tracking (ACT) is based on RL, which is a popular framework with real-time speed. However, ACT cannot handle scale estimation effectively, since it cannot change the ratio of target size. In this paper, we aim to improve the scale estimation of ACT and propose the Action-improved ACT(AIACT) model. This work is based on the basic framework of ACT. ACT builds the ‘Actor’ deep neural network to track the target and the ‘Critic’ network as an inspection module to improve the model. We add a new element to the bounding box of ‘Actor’ model to change the aspect ratio. The experiment result shows that our model achieves better accuracy than the previous model. Our method achieves 0.646 and 0.912 score of success rate and precision rate on OTB dataset, which means AIACT model can handle the scale variation of the target. Therefore, it will benefit more applications.
A Survey on Newmann’s proof of the prime number theorem
Authors: Ma Zhentao 
Published: May 2021

Abstract
The prime number theorem is one of the most important theorems in number theory, which tells the asymptotic behavior of positive prime numbers. It was first proved independently by Jacques Hadamard and Charles-Jean de la Valĺee Poussin in 1896, by using the Riemann zeta function as a tool. We summarize Newmann’s proof in this survey.
Modeling and Optimizing Method for Charging Route Planning of Wireless Rechargeable Sensor Network
Authors: Bai Jin , Tan Hongyu , Yi Yang , Wang Jieyi 
Published: May 2021

Abstract
Wireless rechargeable sensor network consists of a data center, several sensors and one or more mobile chargers. In order to make the wireless rechargeable sensor network (wrsn) work normally, the mobile charger needs to charge the sensor regularly to avoid its power below the threshold. The energy consumption of mobile charger will be caused when charging sensor nodes and on the way of charging sensor. In this paper, how to reasonably plan the charging route of the mobile charger and reduce the energy consumption of the mobile charger on the road are modeled. By comparing the Monte Carlo optimization simulated annealing algorithm with the improved genetic algorithm, the TSP traveling salesman problem with the minimum energy consumption of the mobile charger on the road is solved.
Iterative Method for Positive Definite Solution of a Class of Nonlinear Matrix Equation
Authors: Xiong Hao , Huang Jingpin , Zhang Shanshan , Wang Yun 
Published: May 2021

Abstract
In this paper, we study the matrix equation X+A

*

(R+B

*

XB)

-t

A=Q (0<t⩽1), where A, B, R, Q are matrices of appropriate size and R, Q are both positive definite matrices. Based on the fixed point theorem, we suggest four iterative algorithms for solving this equation and prove that the suggested iterative algorithms are convergent with proper conditions. What’s more, the conditions for the existence of the positive definite solution are given. The convergence analysis of the suggested algorithms is established. Some numerical examples are presented to illustrate the convergence behaviour of the various algorithms.
Influence of Training Times and Sample Size on Results in Visual Try-On with GAN
Authors: Jiang Wenqing , Qi Ruiyu , Zheng Juntao 
Published: May 2021

Abstract
With online shopping becoming more and more trendy these days, Virtual Try-On Approach is proposed. It is a method of Generative Adversarial Network (GAN) composes of two models: Geometry Matching Module (GMM) and Try-On Module (TOM). It is proposed to solve the inconvenience of customers for not being able to see the fitting effect before receiving the goods. This paper is about finding the relationship between dataset and the effect of the experiment in the GAN experiment. After implementing the models and gaining the result images, we do some observations on the GMM one and try to analyze it and improve the effect. Comparison is made on different aspects: training times of the model and sample size of the training input. Similar trends are shown on the decrease of loss value when the training times or sample size rises. However, the visual effect is not necessarily improved all the time. Compared with the times it has been trained, the improvement from training times is far less than that from the sample size. Finally, we draw the conclusion that the effect is gradually improved as the training times or sample size increases at the beginning. Nevertheless, the improvement cannot be recognized evidently when the training times and sample size have grown large enough. Additionally, the sample size seems to be a more significant factor in the improvement of the visual effect than the training times.
Fire emergency evacuation model of light rail station based on BIM technology
Authors: Diao Yuyu , Guo Zhida 
Published: May 2021

Abstract
Urban light rail undertakes the mission of escorting passengers to arrive safely. Once a fire accident occurs, it will inevitably have a great negative impact. Therefore, how to effectively carry out emergency evacuation tasks in fire accidents has become one of the problems facing the development of urban rail transit. Based on this, this article first introduces the relevant characteristics of BIM technology and the corresponding advantages, and further its use in urban light rail stations. The application advantages of emergency evacuation strategies are briefly analyzed; then the requirements for the construction of BIM emergency evacuation models are studied; finally, through field investigations, a specific urban rail transit light rail station is taken as an example to construct a BIM building information model for this light rail station. Applying BIM technology to fire protection work in light rail stations, it is expected to improve the efficiency of emergency evacuation of passengers in light rail stations.
Improved artificial bee colony algorithm based on damping motion and artificial fish swarm algorithm
Authors: Zhang Liyi , Fu Mingyue , Li Hongbo , Liu Ting 
Published: May 2021

Abstract
The basic artificial bee colony (ABC) algorithm is easy to fall into local optimum, and it has poor exploitation ability and slow convergence speed. According to the defects, the improved algorithm is proposed, which is based on damping motion and artificial fish swarm(AFS) algorithm. In the employed bees phase, the swarm behavior of AFS algorithm which can avoid sinking into local optimum is introduced. At the same time, considering the slow convergence speed, employed bees adopt the multidimensional updating process in the early stage of iteration. In the onlooker bees phase, an adaptive step size based on damping motion is designed to replace the random step size, which can balance the global exploration and the local exploitation. Through the simulation of six test functions, we get the average convergence algebra, the mean, the best and the variance of the optimal solution through 30 experiments. Simulation shows that the improved algorithm has a better performance than the basic one.
Morphological description and statistical characteristic simulation of cocoon filament size curve
Authors: Yang Pengmin , Ning Wane , Huang Jiwei , Ge Guoping 
Published: May 2021

Abstract
Computer simulation of silk reeling is an important means to understand structure and formation of raw silk, and simulation to generate cocoon filament size curve is the premise of computer simulation of reeling silk. In this paper, according to unique pattern of cocoon filament size curve that is “thin-thick-thin, the last part is the thinnest”, a simulation and generation method of cocoon filament size curve with adjustable morphological is obtained by analyzing the characteristic point values and statistical data of cocoon filament size curve, such as head end size, maximum size and its position on cocoon filament, length of cocoon filament. Through a lot of simulation practice and analysis on statistical characteristics of cocoon filament size curve, it is considered that the proposed generation method has good applicability.
Analysis of Image Generation by different Generator in GANs
Authors: He Jiabei , Nie Yuzheng , Mao Ziwen 
Published: May 2021

Abstract
GAN is very useful in the field of image generation. Many related GANs have been proposed for generating images from the description. However, the research about analysis of image generation by different Generator in GANs is still insufficient. In this paper, different methods such as CNN and Resnet are used as the Generator in GANs for image generation. The subjective evaluation is used to analyze the performance of different generators of GAN. The result shows that the CNN-based generator performs better than the Resnet-based generator. And the increase of the number of parameters in the model will change the image quality. The analysis of different methods as the generator in GAN has a great referential significance in the field of image generation.
Modelling Study on Acetylcholine Regulation to the Pacemaker Ability of the Sinoatrial Tissue in Hearts
Authors: Zhang Hong , Ma Liyuan , E Junliang , Yang Zhao 
Published: May 2021

Abstract
As an important neurotransmitter, acetylcholine (Ach) is closely related with dysfunction of sinoatrial node (SAN), but many questions about its effects on electrophysiological behaviors of SAN are still unclear. In this paper based on the dynamic model of rabbit SAN and atrial cells while considering Ach activated inward rectifying K+ current, other Ach-adjusted ionic currents, and heterogeneity of SAN as well, a two-dimensional tissue model was developed. Computer simulation studies found that slowing of the firing rates caused by Ach could reach above 300%. Upstroke velocity of the central cell is over 3 times greater than that of the peripheral cell, thus presenting more sensitivity to Ach and easier property of sinus pause. Additionally, when Ach distributed nonuniformly, the leading pacemaker site would shift to where the maximum concentration gradient of Ach was. Moreover, the reentrant wave produced at atrial tachycardia could invade into the SAN and suppress its spontaneous firing. The greater the Ach concentration, the easier the suppression is.
Investigating the effects of corporate social responsibility on financial performance
Authors: Zhang Zhenfei 
Published: May 2021

Abstract
This paper assesses the relationship between corporate social responsibility activities (CSR) and financial performance as well as how CSR affects the financial operations of companies of all types. Over the last decade, the world has made remarkable achievements in its economy, which provide more fertile soil for a variety of companies to thrive even in fierce market competitions. However, the planet’s finite resources and a heightened citizen awareness also called for corporate social engagement rather than the pursuit of profit maximization. Therefore, this paper leverages recent CSR scores and the latest financial data of the top 300 companies on the CSR index list, and provides statistical evidence on the positive role of CSR activities in corporate performance. This paper is also expected to generate fresh insights into future academic research and CSR strategies.
An improved non-contact geometric parameter detection method for high-speed railway catenary
Authors: Ju Yanjie 
Published: May 2021

Abstract
In order to improve the accuracy and anti-interference of non-contact geometric parameter detection of high-speed railway catenary, the geometric detection algorithm is modified, and an improved non-contact geometric parameter detection method of catenary is proposed. The image edge enhancement and noise filtering are realized by using the enhancement method based on curve transformation, and the image edge is accurately extracted by using SUSAN algorithm. At the same time, considering the influence of vehicle vibration, the vehicle vibration compensation correction is added to improve the accuracy of geometric parameter detection. The results shows that compared with the traditional geometric detection method, the anti-interference and accuracy of the improved algorithm have been improved, which has good practical application value.
Equilibrium Queueing Strategies of Three Types of Customers in A Single Queue
Authors: Jia Guowei , Lu Xiaotao , Song Yuantao 
Published: May 2021

Abstract
Different types of customers have different revenue and waiting costs per unit time. Although in queuing economics, research on customer equilibrium strategies has achieved fruitful results, most of these are based on a single customer type. Research on multiple types of customers is rare. We consider a single queue with three types of customers. We analyse system stationary distribution and obtain the equilibrium balking strategy of each type customers. In addition, the social benefit is discussed under the reward-cost structure in the full observable.
The Effect of Electroosmotic Flow on the Dielectric Assembly of Nanowires
Authors: Du Shan , Ding Haitao 
Published: May 2021

Abstract
The assembly of nanowires is important to the manufacture of microelectronic components, and dielectrophoresis is a method of assembling nanowires with low cost, good operability, accurate positioning and high assembly efficiency. In this paper, a model of the dielectric assembly of nanowires in the microelectrode system is established, and the dielectrophoretic force and electroosmotic flow of the nanowires are analyzed, and the regulations of the dielectric assembly of nanowires is obtained. Based on the preparation of planar microelectrode pairs, the nanowire dielectric assembly experiment was performed. Through the analysis of the experimental results, the regulations of nanowire dielectric assembly are consistent with the simulation.
Traffic accident analysis and Control Countermeasures of fatigue driving on Expressway
Authors: Sun Yan , Tang Zhihua 
Published: May 2021

Abstract
In the current high-speed accidents, there is a great cause of fatigue driving. This paper first analyzes the law of fatigue driving accidents on expressways, including time distribution, type distribution and other distribution characteristics of accidents in various states. Secondly, it investigates the sections with heavy traffic accidents and frequent accidents, so as to analyze and find out the unreasonable and deficiencies. Finally, it summarizes the shortcomings of expressway, combined with the fatigue driving accidents caused by human subjective factors, suggestions and improvements are made. Through this study, for the prevention of fatigue driving accidents, drivers need to improve their safety awareness, family supervision and social supervision is very important, and after the accident, we need to correctly handle the results of the accident.
Mask Wearing Detection Method Based on the Skin Color and Eyes Detection
Authors: He Tengjiao 
Published: May 2021

Abstract
During the period of fighting against COVID-19, wearing masks is the main measure of protection in public places. In order to obey relevant regulations, railway stations, airports, shopping malls and other public places are equipped with staff to supervise citizens to wear masks. This method not only wastes human resources, but also has the disadvantage of significantly reducing the efficiency when the flow increases. In order to improve work efficiency, save human resources, and ensure the health and safety of staff, computer vision technology can be used to develop embedded device to deal with the task of automatic mask wearing detection. This paper proposes a mask wearing detection method based on the skin color and eyes detection. This method uses the ellipse skin model, the grayscale gradient features of eyes and the geometric relationship between eyes and other parts of face to locate the face region. And by calculating the coverage of skin color in nose and mouth area, this method gives a judgement of whether a man is wearing a mask properly. This method can basically deal with the task of mask wearing detection under the specific application scenario. It also has the advantages of small volume and strong interpretability.
Research on Cutting-Stock Method of Profile
Authors: Li ShuiPing , Cai WenHui 
Published: May 2021

Abstract
There is a lot of waste of profile materials in the production process of aluminium alloy doors and windows manufacturers, and the cost of profile materials occupies a large proportion of the manufacturing cost of aluminium alloy doors and windows. According to the traditional aluminium alloy door and window manufacturers in the cutting-stock process, the problem of waste of profiles, confusion of cutting orders, low automation and low production efficiency, etc., we proposed a cutting-stock algorithm that selects different cutting-stock algorithms for different cutting-stock order sizes. We used improved linear programming method to solve the small-scale cutting problem, and limited the number of cutting methods of the profiles, and used LINGO software code to solve it. The hybrid genetic algorithm is used to solve the one-dimensional large-scale order placement problem. It is concluded that the algorithm improves the utilization rate of the profile, improves the production efficiency of the enterprise and decrease the cost of the enterprise.
Theoretical modeling and analysis of piezoelectric energy harvester with variable section overhanging beam
Authors: Liu Shuang , Mao Jiajia , Zhang Wei 
Published: May 2021

Abstract
With the development of integrated circuits, the volume and power consumption of electrical equipment have decreased dramatically. As an excellent energy conversion method, piezoelectric energy harvester can capture the vibration energy of the environment, so as to realize the self-powered supply of micro and small power electronic devices. In this paper, a variable cross-section extended beam structure is considered as the structure form of piezoelectric energy harvester. The influence of structural parameters on the steady-state response of piezoelectric energy harvester is analyzed, which can improve the output voltage and collection efficiency of the energy harvester. The results show that the thickness of the beam has a great influence on the natural frequency of the piezoelectric energy harvester system, but has little influence on the output response. By changing the thickness of the beam, the low-frequency energy can be captured and the energy collection efficiency can be improved. The thickness of the beam piezoelectric layer has a great influence on the natural frequency of the piezoelectric energy harvester system, but has little influence on the output response. By reducing the thickness of piezoelectric layer, the efficiency of energy collection can be improved.