bluuebunny/crossref_metadata_2025_split huggingface dataset:
sEMG Motion Intention Recognition Based on Wavelet Time-Frequency Spectrum and ConvLSTM
Authors: Liu Yixin , Xin Daxin , Hua Jin , Liu Mengzhao 
Published: September 2020

Abstract
The electromyographic signal (EMG) is a kind of bioelectrical signal, which can predict human motion intention through signal analysis. Multiple classification models are used to predict the motion intention. It has been found that the classification accuracy is closely related to the feature information extracted from the signal. Traditionally, features are designed manually through prior knowledge. In this paper, a kind of EMG signal classification method based on convolutional neural network and convolutional long-term memory network (CNN-ConvLSTM) is proposed. ConvLSTM, with its global feature extraction capability, is designed to extract the sEMG features of each channel, and due to its strong local feature extraction capability, CNN was designed to further extract the fused feature information and realize end-to-end classification. The experimental results show that this algorithm has better classification performance than the existing classification methods. The electromyographic signal (EMG) is a kind of bioelectrical signal to recognize human movement intention.
The Design and Implementation of Campus Network Streaming Media Live Video On-Demand System Based on Nginx and FFmpeg
Authors: She Bo , Wang Qiang , Zhong Xiaoge , Zhang Zhe , Qin Zunying , Li Guodong 
Published: September 2020

Abstract
For the current demand for live broadcast and live video in colleges and universities, relying on the advantages of campus network, this paper designed and implemented a video live broadcast and video on-demand system suitable for colleges and universities. The system used the streaming media server built by the open source Nginx to capture high-definition video streams output by cameras, etc. through the RTMP protocol, and can provide video live broadcast and video on-demand services using multiple carrier lines. Video live broadcast used the open source Flash player JW Player, stored video in high-performance HDFS distributed storage at a certain time interval and format by a storage algorithm, and supported on-demand playback of MP4 format video stored in HDFS. The paper tests the various functional modules of the system and the overall performance of the system to verify the effectiveness of the system. The system is currently deployed in the campus network of Xi’an Jiaotong University, providing normal recording and broadcasting of video of 293 intelligent classrooms in Xi’an Jiaotong University, video on-demand for after-school courses, video live broadcast and video on-demand for various large-scale events held on campus.
How to Apply Statistical Software in Doing Multilevel Modeling: A Comparative Study Perspective
Authors: Lin Liming , Zhang Xiaosan 
Published: September 2020

AbstractMultilevel model methodology is widely used in social science. There are many textbooks and h papers introducing the principles and methods of multilevel model. However, most of them are simply a brief instruction how to apply statistical software to run multilevel model, which brings some obstacles for beginners in empirical research. To address this gap, this paper aims to help beginners and common users to grasp the operation skills of multilevel model in these statistical software. Firstly, the operation procedure of multilevel model in eight statistical software are introduced. Secondly, this paper systematically compares the output results of multilevel models of these statistical software. Finally, some operational guidelines and suggestions are put forward for the empirical application of multilevel model.
Research on Password Cracking Technology Based on Improved Transformer
Authors: He Shen , Fu Jun , Chen Cancan , Guo Zhihui 
Published: September 2020

Abstract
Password plays a vital role in identity authentication. However, password security is facing great challenges. In this paper, we research the password cracking technology based on artificial intelligence, aiming to study the probability of password cracking in common password setting methods, and provide references for the setting of password. First of all, we collected a large amount of user’s personal information and passwords, and analysed the correlation between the personal information and passwords. And then, we implemented a password guessing model based on improved Transformer in which information weights were introduced into the data pre-processing and the modified beam search algorithm was used in the model to quickly search the top ranked output results. The percentage of password cracked was 68.63%, and the average guess time was 51.99 seconds. The experiment result shows that artificial intelligence brings great challenges to user password security, and this paper puts forward suggestions on user setting passwords.
Research on a Bluetooth Low Energy Warning Method
Authors: Long Yan , Chen Yongli , Xiao Deyong , Li Zheng , Hou Tianpeng , Zhang Zhiwei 
Published: September 2020

Abstract
With the development of society, intelligent terminal equipment is used more and more widely. The use of intelligent terminals to locate children’s position, to ensure that children are in a safe and controllable range, is more favored by parents. But now the smart watch needs to install the mobile phone card, which depends on the mobile phone traffic to locate, and the cost is relatively high. This paper proposes a Bluetooth low energy warning method to solve this problem. The distance between the two devices is calculated by the signal strength indication value received by the intelligent terminal, and then compare the preset received signal strength indication value with the received signal strength indication value, as well as the preset distance value and the calculated distance value of the two devices. When the received signal strength indication value is less than the preset value or the distance between the devices exceeds any of the preset values, the wireless device and the intelligent terminal will send an alarm at the same time to remind the two sides wearing the intelligent terminal and the Bluetooth device that the distance between the two sides has exceeded the safety value. The Bluetooth low energy warning method proposed in this paper has the characteristics of low cost and low energy consumption.
Analysis and Research of Electric Bicycle Design Based on Hall Three-Dimensional Structure
Authors: Xie Jiawen , Xiong Zhiyong 
Published: September 2020

Abstract
Purpose In the context of the implementation of the Mandatory National Standard for Safety Technical Specifications for Electric Bicycles (hereinafter referred to as the “New National Standard”), in order to meet the needs of the target group for daily traveling, a general method for electric bicycle design is proposed. Method Based on Hall three-dimensional structure theory, focusing on the time axis, comparing with the existing products in the market, referring to the traditional electric bicycle system design flow from product positioning, draft design, type selection, performance target determination, component performance parameters and boundary dimension, in-depth design, rendering, to model making, combined with marketing and user research, conduct electric bicycle design research with the theme of “young” and “future”. Results Propose a general method for the design of electric bicycles based on Hall three-dimensional structure. Conclusion The model method helps to feedback the design progress in time, finding the problems in the design flow, improving design efficiency and shortening the design cycle.
Cloud-Assisted Curriculum Teaching Activity Design and Implementation
Authors: Wu J 
Published: September 2020

Abstract
The development of “Internet +” technology has greatly promoted the transformation of the education field. This article takes the course “Cloud Data Centre Architecture and Security Management” as an example, attempts to employ the resources in the existing teaching resource library deployed on the cloud computing platform to improve the traditional teacher-centred teaching model by using advanced teaching methods such as flip classrooms. Which changed the learning status of teaching materials with textbooks or reference books as the main learning resources. Through a year of teaching practice, it is shown that this curriculum teaching design based on the teaching resource library can not only change the teachers’ teaching concepts and teaching methods, but also fully mobilize the enthusiasm and initiative of students to achieve satisfactory teaching effect.
A Self-Adaptive Morphological Filter without Consideration of Window Size for Airborne LiDAR Point Clouds
Authors: Li Yong 
Published: September 2020

Abstract
Light detection and ranging (LiDAR) has the capability of rapidly collecting dense and accurate three-dimensional geospatial information, and therefore it is widely applied in various fields of geospatial applications. The morphological filtering approaches can filter non-ground points effectively, which is crucial for many tasks such as land cover classification and digital elevation model generation. A series of different windows are generally in need for removing non-ground objects with different sizes. In order to avoid the limitation of choosing the filtering windows, we adopt the geodesic transformations of mathematical morphology for filtering LiDAR point clouds. This algorithm enhances the robustness and automation without consideration of how to choose different windows. Experimental results demonstrate that this filtering algorithm is capable of effectively preserving terrain details and filtering various non-ground objects.
Design and Implement the Continuous Flickering SSVEP-BCI in Augmented Reality
Authors: Wang Ruiyan , Ke Yufeng , Liu Shuang , Du Jiale , Xu Cheng , Xing Bohao , Ming Dong 
Published: September 2020

Abstract
Brain-computer interface (BCI) provides a new way to express our minds without peripheral nerves and muscles. In this work, a process control recognition method based on continuous flickering is proposed to output continuous commands. Phase matching method was applied in this work, matching the test data with the template with the same phase to improve the accuracy. We also put forward a high tolerance criterion and give a new definition to the recognition result of attention shift period. We first conducted a screen-based continuous flickering feasibility verification experiment using correlation component analysis algorithm (TRCA) method, and the recognition accuracy reached 85% and 90% under high tolerance criterion. The average offline simulation information translates rate (ITR) was 455.8 bit/min, and the highest ITR reached 524.7bit/min, which certificated the feasibility. Furthermore, we carried out a drone control experiment based on augmented reality (AR)-BCI using extended filter bank canonical correlation analysis (extended-FBCCA), and achieved an average accuracy of 90% and ITR of 49.1 bit/min, having better performance than repetitive visual stimulus (RVS) with intervals.
Smooth Twin Bounded Support Vector Machine with Pinball Loss
Authors: Li Kai , Lv Zhen 
Published: September 2020

Abstract
The twin support vector machine improves the classification performance of the support vector machine by solving two smaller quadratic programming problems. However, for the twin support vector machine and some of its variants, the constructed models are usually transformed from the original space into the dual space to obtain the solutions. Meanwhile, the hinge loss function used in above models is sensitive to noise and unstable in resampling. In order to further improve the performance of the twin support vector machine, the pinball loss function is introduced into the twin bounded support vector machine directly, and the non-differentiable problem of the pinball loss function at zero is solved by constructing a smooth approximation function. Based on this, a smooth twin bounded support vector machine model with pinball loss is obtained. The model is solved iteratively in the original space by using the Newton-Armijo method, then a smooth twin bounded support vector machine with pinball loss algorithm is proposed. In the experiments, the proposed twin support vector machine is validated on the UCI datasets, which shows the effectiveness of the proposed algorithm.
Research on Interaction Design of Diabetes Diet Health Based on GL Food Exchange Serving
Authors: Zhu Tianyang , Wang Xinlei , Zhang Yajun 
Published: September 2020

Abstract
Research on the application of food exchange serving based on the concept of glycemic load (GL) in the treatment of diabetes diet, the use of computer technology to compile a set of software for diabetic diet catering, and the use of interaction design thinking and methods to establish an interaction design for diabetic diet health. On the basis of literature research, through the user journey map, interaction flowchart and relevant stakeholder analysis methods, a logical table of the food exchange portion method of the concept of glycemic load (GL) is proposed. Using interaction design strategies, the GL concept of food exchange method is realized. Based on the concept of GL, the food exchange method is proposed, taking diet therapy as interaction scenario, integrating the visualization of diet medical information, eliminating information asymmetry, and improving the awareness of diabetic diet therapy so as to form a healthy diet.
Research on Children’s Smart Water Cup Design Based on Analytic Hierarchy Process
Authors: Wang Hui , Wang Fenghong 
Published: September 2020

Abstract
The children’s product market continues to expand, as a smart product with more contact with children’s mouth and hands, the design of children’s smart water cup needs to meet higher requirements. This paper studies the product value attribute of children’s smart water cup, explores the design possibility, and transforms it into a product in line with the market trend. Through market research and patent search to find design trends and combined with user interviews, children’s smart water cup products are decomposed into indicators to be evaluated, and quantitative data, The weight of each indicator was calculated by using Analytic Hierarchy Process (AHP) and the comprehensive score was ranked, and the design concept of children’s smart water cup was proposed. The introduction of Analytic Hierarchy Process in the design of children’s smart water cup can effectively reduce the interference of scattered elements and improve the design efficiency.
Elevated CO2 decreases soil carbon stability in Tibetan Plateau
Authors: Zhao Guang , Liang Chao , Feng Xiaojuan , Liu Lingli , Zhu Juntao , Chen Ning , Chen Yao , Wang Li , Zhang Yangjian 
Published: September 2020

Abstract
The lack of ecosystem-scale CO2 enrichment experiments in alpine regions considerably restricts our ability to predict the feedback of the global carbon (C) cycle to climate change. Here we investigate soil C response in an experiment with 5-year CO2 enrichment and nitrogen (N) fertilization in a Tibetan meadow (4585 m above the sea level). We found that despite non-significant increase in bulk soil C pool, elevated CO2 dramatically altered the allocation of C in different soil fractions and soil mineralization potentials. By changing soil microbial composition and enhancing enzyme activities, elevated CO2 significantly accelerated soil organic matter (SOM) mineralization rates and stimulated the microbial utilization of ‘old C’ relative to that of ‘new C’. Furthermore, N fertilization under elevated CO2 altered the decomposition process, increased the fungi to bacteria ratio, and decreased the coarse particulate organic matter pool and enzyme activities, indicating that N fertilization counters the CO2 fertilization effect. Overall, our findings suggest a growing threat of elevated CO2 in reducing SOM stability, and highlight the key role of N availability in driving soil C turnover under elevated CO2.
Determination of spatial quantum states by using point diffraction interferometry
Authors: Pears Stefano Quimey , Rebón Lorena , Iemmi Claudio 
Published: September 2020

Abstract
We present a method to reconstruct pure spatial qudits of arbitrary dimension d, which is based on a point diffraction interferometer. In the proposed scheme, the quantum states are codified in the discretized transverse position of a photon field, once they are sent through an aperture consisting in d rectangular regions, with an extra region that provides a phase reference. To characterize these photonic quantum states, the complete phase wavefront is reconstructed through a phase-shifting technique. Combined with a multipixel detector, the acquisition can be parallelized, and only four interferograms are required to reconstruct any pure qudit, independently of the dimension d. We tested the method experimentally, for reconstructing states of dimension d = 6 randomly chosen. A mean fidelity values of 0.95 is obtained. Additionally, we develop an experimental scheme that allows to estimate phase aberrations affecting the wavefront upon propagation, and thus improve the quantum state estimation. In that regard, we present a proof-of-principle demonstration that shows the possibility to correct the influence of turbulence in a free-space communication, recovering mean fidelity values comparable to the propagation free of turbulence.
Formation of polarization singularity lattice through dual-phase modulation
Authors: Kumar Praveen , Pal Sushanta Kumar , Nishchal Naveen K , Senthilkumaran P 
Published: September 2020

Abstract
In this paper, we demonstrate the generation of different singularity lattices consisting of only V-points or only C-points using a versatile method based on double phase modulation. Overcoming the inherent problems with interferometry, the proposed approach utilizes a spatial light modulator for modulating the phase distributions of evaluated interference field into the light beams. This concept is used in a single optical set-up to realize different types of lattice fields of C-points and V-points. The proposed set-up not only reduces the complexity and alignment issues but alleviates the need of using a polarization controlling element such as a Q-plate.
Effects of ZnO nanoparticles on the antifungal performance of Fe3O4/ZnO nanocomposites prepared from natural sand
Authors: Taufiq Ahmad , Ulya Habibatun Nurul , Yogihati Chusnana Insjaf , Sunaryono  , Hidayat Nurul , Mufti Nandang , Masruroh  , Soda Shuto , Ishida Takayuki 
Published: September 2020

AbstractIn the present study, the eco-friendly and economical methods have been developed by employing natural iron sand as a main precursor to create Fe3O4/ZnO nanocomposites (NCs). The formation of Fe3O4/ZnO NCs was confirmed using XRD, synchrotron-based SAXS, FTIR spectroscopy, and SEM. The XRD results revealed that the Fe3O4and ZnO crystallised spinel cubic and hexagonal wurtzite structures. The SAXS results exposed the construction of fractal dimension with the values of 3.20–3.70, which indicated a compact structure in 3-dimensions. The SEM images showed that the morphology of the samples tended to agglomerate in nanometric size. The FTIR spectra proved the presence of the Fe–O and Zn–O bonds as the main components of the NCs. The UV–vis spectroscopy analysis revealed that the bandgap energy of the Fe3O4/ZnO NCs ranged from 2.244 to 3.533 eV. Furthermore, the Fe3O4/ZnO NCs demonstrated superparamagnetic behaviour with the blocking temperature below 212 K, and their saturation magnetisation increased with increasing Fe3O4content. Interestingly, all samples demonstrated excellent inhibitory performance againstC. albicans, which indicates that the Fe3O4/ZnO NCs synthesised by eco-friendly and economical methods from natural iron sand for the first time are novel candidates for use as high-performance antifungal agents.
Nanostructured phases, mechanical properties, exfoliation and intergranular corrosion behaviours of 7075 Al–Zn–Mg–Cu alloy–Effect of one-stage and two-stage aging processes
Authors: Minh Ngo Tien , Thi Van Nguyen Thanh , Thi To Phung Hang , Le Bac Thanh , Nguyen Thi Hoai Phuong , Duc La Duong 
Published: September 2020

Abstract
The control of the aging conditions for the aluminium alloys has been considered as an effective strategy to improve the properties of the alloy, especially in enhancement of the corrosion resistance. In this study, a detailed investigation of the effect of one-stage (T6) and two-stage (T76x) aging temper on mechanical properties, exfoliation and intergranular corrosion behaviours of 7075 Al–Zn–Mg–Cu alloy was implemented. Microstructures of the aged alloys were observed by optical microscopy and scanning electron microscopy (SEM), exfoliation and intergranular corrosion behaviours were investigated according to ASTM G34-2001 and ASTM G110-1992, respectively; the mechanical properties of the aged alloys were determined followed the standard methods. The microstructures of the sample aged with the T6 temper showed the finer particle size of precipitates than that of obtained from T76x tempers. Additionally, while the T6-aged sample revealed no appearance of the Precipitate Free Zones (PFZ), the PFZ with 40–50 nm in width was observed in the alloys treated with T76x tempers. The mechanical properties of the sample aged with T76x temper were negligibly reduced comparing to that of obtained with T6 temper, however, the exfoliation and intergranular corrosion behaviours were significantly improved by using two-stage aging conditions. The mechanism in enhancement of the corrosion resistance of the alloys treated with T76x temper over T6 temper was also discussed.
Direct and Moderating Causal Effects of Network Support on Sleep Quality: Findings From the UC Berkeley Social Network Study
Authors: Child Stephanie , Ruppel Emily H , Zhong Mia , Lawton Leora 
Published: September 2020

Abstract

Background
Sleep is an important, restorative behavior for health, yet many adults report troubled sleep. The existence of a support network may be beneficial for sleep quality, including as a buffer for stressful events, yet few studies have examined these relationships longitudinally.

Purpose
To examine the causal effect of changes in personal network support on sleep quality both directly and as a buffer of negative life events among young and older adults.

Methods
The UC Berkeley Social Network survey collected data from young (21–30 year old, n = 475) and late middle-age (50–70 year old, n = 637) adults across three waves between 2015 and 2018. Participants reported on personal network characteristics, negative life events, and number of nights with trouble falling and staying asleep. Fixed effects models are used to examine causal relationships among each age cohort.

Results
Direct effects of network support on sleep quality were observed among older adults. Insufficient practical support predicted higher rates of trouble falling asleep (incident rate ratio [IRR] = 1.40, p &lt; .01), while a desire for more social companions predicted lower rates of trouble staying asleep (IRR = 0.81, p &lt; .01). Buffering effects of network support on sleep quality were observed among young adults. Changes in partnership status buffer the negative effects of the death of a close tie on trouble falling asleep (IRR = 0.75, p &lt; .01) and persistent difficulties paying bills on trouble staying asleep (IRR = 0.45, p &lt; 0.001) among young adults.

Conclusions
This study provides evidence for the direct and buffering role of network support on sleep quality. Our results indicate that efforts to improve sleep quality should address personal networks and the support they provide, perhaps especially during times of stress for younger adults.