bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Children’s Autonomous Learning Behavior in Performance Area---Taking H Kindergarten in Changsha as an Example
Authors: Zhang Weimin , Xie Ling 
Published: November 2019

Abstract
Respect and protect children’s curiosity and interest in learning, help children gradually develop proactive learning quality, let children become the protagonists of their own learning, develop good thinking habits and study habits, and improve the ability of independent learning are the general trend[1].In the performance area, young children creatively express their understanding of life and art works by playing the role of literary and artistic works. They can develop the imagination and creativity of young children, and the satisfaction and pride they receive in stage performances are great temptation for young children. Through the coding and statistics of children’s independent learning behaviors in the performance area activities, This paper that mainly adopts the observation method deeply analyzes and discusses the reality of children’s independent learning behavior in kindergarten performance area activities, summarizes the characteristics of children’s autonomous learning behavior, analyzes the influencing factors, and puts forward suggestions on improving children’s autonomous learning behavior level: Pay attention to the age characteristics of young children in the behavior, treat children of different age, change teachers’ concept of regional activities, and improve teachers’ support for performance areas.
An improved CI EKF data fusion algorithm for multi-sensor time-delay system
Authors: Lee X Y , Gao G W 
Published: November 2019

Abstract
In order to solve the problem of time-delay in non-linear multi-sensor information fusion, a simulation model of moving target tracking in sensor networks with the time-delay state and observation system is established. Using the augmented matrix to transform the time-delay system into the non-time-delay system, an improved Covariance Intersection (CI) Extended Kalman filter (EKF) data fusion algorithm for multi-sensor systems with time-delay is presented. This method avoids calculating any two local filter error cross-covariance matrices and greatly reduces the computational complexity and time. Analysing the precision of this method, comparing the precision of improved CI EKF data fusion algorithm and the locally optimal fusion EKF algorithm. The results show that the precision of improved CI EKF data fusion algorithm is higher than that of the local EKF and close to the precision of the optimal EKF fusion.
One Step Anti-Windup Design for Nonlinear Systems: An Indirect LMI-Based Approach
Authors: Li Haojie , He Hanlin , Zha Miao 
Published: November 2019

Abstract
This paper proposes an indirect linear matrix inequality (LMI) approach to design one step anti-windup dynamic output feedback compensator for a class of nonlinear systems subject to actuator saturation. When the system state satisfies certain conditions, the nonlinear system can be reconstructed accurately by T-S fuzzy model, based on Lyapunov stability analysis and a result about matrix inequality, we show that the feasibility of an LMI guarantees the solvability of the corresponding one step anti-windup compensator. Once the solvability issue is determined, then we give an algorithm of one step anti-windup nonlinear dynamic output feedback compensator. The effectiveness of the proposed method is illustrated with numerical example.
Research on WebGL-based 3D Visualization Platform for Earthquake Rapid Reporting
Authors: Zhu Hongjiang , Cui Kewei , Lin Jinglei , Yuan Ziliang , Liu Shuai , Huang Meng 
Published: November 2019

Abstract
In the era of big data, after the devastating earthquake, the amount of information required for earthquake emergency has increased geometrically. In order to display various geological, environmental and meteorological information more intuitively, network 3D visualization has become the Core technologies that were indispensable in terms of Geographic process dynamic simulation, visual analysis and synergistic decision. This paper introduced WebGL+HTML5 technology as the underlying development platform, ArcGIS API for JavaScript as the map access interface, and realized the WebGL-based seismic rapid report 3D visualization platform. The coordinate conversion algorithm has been used to realize the latitude and longitude coordinate offset algorithm, which solved the position error caused by the secondary encryption of Baidu map and Google map during positioning location. The 3D measurement function in ArcGIS API for JavaScript realized the display of the distance, area and attribute information in 3D environment, used ECharts and memory optimization technology to improve the browsing efficiency of the platform on the mobile terminal and optimize the display interface. The implementation of this system could provide technical and decision support for earthquake workers in earthquake emergency response.
Research on MSK Demodulation Method for M-Sequence in IFF System
Authors: Wei Ying , Huang Jiawei , Ling Liuyi 
Published: November 2019

Abstract
M-Sequence, short for Maximum Linear Feedback Shift Register Sequence, is widely used in identification friend or foe (IFF) system because of its good equalization and autocorrelation characteristics, and Minimum Shift Keying (MSK) signal has been paid more attention in military communication field because of its excellent signal characteristics. A new demodulation method for MSK modulation signal of M-Sequence is studied. The MSK signal is sampled by A/D converter, and an integration circuit is designed in the FPGA. The same M-Sequence is generated by the same M-Sequence source polynomial as the integrator coefficient. The peak value of the integrated signal is judged to determine the M-Sequence. When the symbol rate is 1 Mbps and the carrier rate is 1 Mbps and M-Sequence is 5 bits, the recognition time of the new method is less than 1 us, which is less than one fifth of the recognition time of the traditional demodulation method. This method simplifies the demodulation process and is easy to implement. It improves the recognition speed of M-Sequence in MSK modulation signal and provides some reference value for the development of IFF system.
A quantum controller deployment algorithm based on improved NSGA2 algorithm
Authors: Lin Run Zhe , Tang Liang Rui , Bing Fan 
Published: November 2019

Abstract
In order to be able to apply quantum encryption communication to large-scale networks, the adoption of SDN networking in quantum key distribution networks is considered to be a feasible solution. this paper discusses the optimization scheme of deploying quantum encryption controller in QKD under various optimization objectives, and proposes a controller deployment algorithm based on improved NSGA2 algorithm according to network topology characteristics, which is intended to guarantee the algorithm. At the same time of effectiveness, the convergence speed of the algorithm is improved.
Extended Kalman Filter Method based on Backpropagation Neural Network in Current Sensor Online Calibration
Authors: Zhao Shuang , Zhang Hanzhu , Liu Jun , Li Yansong 
Published: November 2019

Abstract
The signal collected by current sensor will contain various noises, which will have a negative impact on the its accuracy and calibration. In order to remove unwanted noises, an extended Kalman filter (EKF) method based on backpropagation (BP) neural network is proposed in this paper. BP neural network has good adaptive ability and non-linear mapping ability. EKF can effectively filter noise and improve the calibration accuracy for non-linear systems. The signal collected by current sensor is processed by EKF and is used as the input signal of BP neural network. The trained neural network can modify the output signal of EKF, so as to improve the calibration accuracy. The angle difference and ratio difference of current sensor calibration are below 0.1, which meets the national standard and shows the effectiveness of this method.
L1 filtering for networked control systems with stochastic communication delay
Authors: Li Yanhui , Xu Wang 
Published: November 2019

Abstract
In view of the time-delay phenomena in the network, a new method for describing the input vectors of filters is proposed, considering the randomness of the observed outputs and using Bernoulli sequence to describe them. By constructing Lyapunov-Krasovskii function and analyzing it with infinitesimal operator, a criterion to ensure the mean square asymptotic stability of the filtering error system and satisfy the given L
1 performance is obtained. The validity of the designed filter is verified by numerical simulation.
Mobile job security protection under the ubiquitous power Internet of Things
Authors: Feng Chi , Fang Yuan , Zhang Liang , Yu Junhao , Sheng Jianqiao , Wu Lisha , Chen Shan 
Published: November 2019

Abstract
The rapid development of the new generation of information intelligence technology is closely related to people’s life, work and other social activities. The ubiquitous power Internet of Things is a complex multi-network flow system, with the power system as the core, composed of communication network, cloud platform technology, intelligent terminal sensor and artificial intelligence; characteristics are open sharing, ubiquitous connection, holographic perception, fusion innovation. With the development of the energy Internet, the power system is required to fully perceive and widely interconnect massive data and propose the concept, which will become a new idea for the development of information sharing networks in the field of energy Internet power. New mode. Mobile intelligent terminals are important access devices for ubiquitous power Internet of Things and play an important role in mobile operations; mobile smart terminals face more security risks. In the context of ubiquitous power Internet of Things, it is of great significance to analyze the problems existing in the security protection of mobile intelligent terminals and explore the security protection technology of mobile intelligent terminals.
Research on the Application of Big Data Ecology in College Physical Education and Training
Authors: Jinhai Yu 
Published: November 2019

Abstract
As the demand for lightweight products in electronic products continues to increase, the demand for increased integration of products is becoming more and more urgent. Systematic package SiP refers to a package module system that combines multiple active electronic components with passive components to achieve a certain function. Through the effective packaging technology, the mechanical properties and thermal properties of the chip are greatly improved. According to the specific connection mode of the chip and the substrate, the packaging process can be mainly divided into wire bonding package and flip chip soldering, and 75% to 80% of the product package types are wire bonding packages. Although wire bonding packages have cost and reliability advantages, they still have I/O problems for IC packages, and wire bonding tools are still evolving. Flip-chip soldering has a shorter interconnect line, which results in a higher density of chip mounting. At the same time, the tools in these two technologies are constantly being updated, which makes the integration of chips more and more high.
A Sphericity Error Assessment Application Based on Whale Optimization Algorithm
Authors: Xuyi Shi , ming Li 
Published: November 2019

Abstract
In recent years, the sphericity error calculation has been increasingly favored by technicians. In order to further improve the calculation accuracy and iterative convergence speed of sphericity, the whale optimization algorithm is proposed to solve the sphericity calculation model. First of all, according to the standard, the mathematical model of sphericity is established under the minimum zone method. Secondly, the whale optimization algorithm is introduced. Finally, the algorithm is validated by the instance data. The results show that the algorithm is effective and advantageous in the calculation of sphericity.
Research on Information Security Protected Scheme for Ship Network System
Authors: Song Feifei , Zhu Jun , Guo Siyuan 
Published: November 2019

Abstract
Based on the investigation of the current situation of ship automation system construction and ship computer network architecture, the status and requirements of ship computer network information security are studied and analyzed. Ship safety management objectives are set, and the principle of network system security configuration is proposed. Furthermore, the evolution process of network security management is clarified, so as to establish and improve the ship network security management system. Finally, according to all the above analysis and research, the construction plan of information security protected for ship industrial system is determined.
Design of Physiological Information and Home Security Information Collection System for the Elderly Based on LabVIEW
Authors: Qiaoping Su , Wenjuan Sun , Yuan Liu , Liqin Ji , Zhiwei Dai 
Published: November 2019

Abstract
Design of physiological information and home security information collection system for the elderly is based on LabVIEW. The main function is to receive data information from the hardware through serial communication, so that the upper computer can realize the conversion of data, and associate the data with the database. In the design of the system, module panels including “user management”, “personal information”, “physiological information”, “living home”, “history information”, “news media” are added. The data of the core module “physiological information” and “living home” is received by the serial port and stored in the database. The Microsoft Office Access database is selected on the database building. The database is accessed, read, written, newly created, deleted, etc. by creating a computer ODBC data source and using a LabSQL toolkit. It uses the VISA control on the serial port to configure the system serial port and other settings, selects the hexadecimal number of the system serial port receiving hardware to convert to a decimal number, and distinguish the delivery display panel.
A Fireworks-inspired Estimation of Distribution Algorithm
Authors: Hao Li 
Published: November 2019

Abstract
Estimation of distribution algorithm(EDA) is a popular evolutionary algorithm which is obtained widely attention. On the basis of EDA, combining with the idea of fireworks algorithm, we proposed a fireworks-inspired multi-model EDA(FMEDA). In FMEDA, multiple probabilistic models are used and generate different number of solutions by introducing the idea of firework explosion. Next, each model evolves by compared with its own best solution directly. The method of setting the limit of probability is taken to prevent from premature convergence. Applying this algorithm to the function optimization problem and the knapsack problem, the experimental result shows that the proposed algorithm has better performance than CGA and PBIL.
An Angle-expressed Quantum Evolutionary Algorithm for Quadratic Knapsack Problem
Authors: Hao Li 
Published: November 2019

Abstract
The quadratic knapsack problem(QKP) is a typical combinatorial optimization problem. It is arisen in many optimization fields, but there exist no pseudo-polynomial time algorithm to solve it. In this paper, we propose an angle-expressed quantum evolutionary algorithm to solve QKP. In this algorithm, the qubits are expressed in the angle and initialized according to the value densities of their corresponding items, the rotation angle of Q-gate is determined through an analytical formula, and Hε gate is used to prevent from premature convergence. For infeasible solution, a dynamic value density is introduced to choose item to be selected or dropped. Finally, experiment demonstrates the effectiveness of the algorithm.
Atomic insights in crystallization of liquid Cu on single crystal Ta and amorphous Ta
Authors: Gan Xianglai , Shu Longlong , Fei Linfeng , Wang Yu , Zhou Naigen 
Published: November 2019

Abstract
The crystallization processes of liquid Cu on single crystal Ta and amorphous Ta under different undercoolings were investigated with molecular dynamics simulation. As the undercooling is not greater than 350 K, only heteronucleation process occurred in both cases. However, at a larger undercooling (400 K), the nucleation transformed from a heteronucleation mode to a mix-mode of heteronucleation and homonucleation in both cases. Interestingly, we found that the heteronucleation of Cu embryos, in the amorphous-Ta/liquid-Cu samples, was always triggered by the recrystallization of amorphous Ta; it means that crystal Ta possesses a higher nucleation potency than amorphous Ta. Further analysis indicated that the higher nucleation potency of single crystal Ta originates from its ability to induce liquid Cu atoms ordering. Liquid Cu took a longer time, on average, to nucleate on amorphous Ta than on crystal Ta at different temperatures. In addition, microstructure analysis indicated that the crystallized region contained both stacking faults and twin crystals.
Is the fermionic exchange phase also acquired locally?
Authors: Marletto Chiara , Vedral Vlatko 
Published: November 2019

Abstract
We argue that the fermionic exchange phase could be detected by local means. We propose a simple experiment to test our idea. This leads us to speculate that there might be a deeper mechanism behind the notion of particle statistics in quantum physics that goes beyond the conventional argument based on the spin-statistics connections.
Observational Study of the Associations of Participation in High School Football With Self-Rated Health, Obesity, and Pain in Adulthood
Authors: Gaulton Timothy G , Deshpande Sameer K , Small Dylan S , Neuman Mark D 
Published: November 2019

AbstractAmerican football is the most popular high school sport in the United States, yet its association with health in adulthood has not been widely studied. We investigated the association between high school football and self-rated health, obesity, and pain in adulthood in a retrospective cohort study of data from the Wisconsin Longitudinal Study (1957–2004). We matched 925 males who played varsity football in high school with 1,521 males who did not play football. After matching, playing football was not associated with poor or fair self-rated health (odds ratio (OR) = 0.88, 95% confidence interval (CI): 0.63, 1.24; P = 0.48) or pain that limited activities (OR = 0.86, 95% CI: 0.59, 1.25; P = 0.42) at age 65 years. Football was associated with obesity (body mass index (weight (kg)height (m)2) ≥30) in adulthood (OR = 1.32, 95% CI: 1.06, 1.64; P = 0.01). The findings suggest that playing football in high school was not significantly associated with poor or fair self-related health at age 65 years, but it was associated with the risk of being obese as an adult in comparison with not playing football in high school. Our findings provide needed information about the risk of playing football with regard to a broader set of health outcomes.
Metabolic Risk Factors as Differential Predictors of Profiles of Neurocognitive Impairment Among Older HIV+ and HIV− Adults: An Observational Study
Authors: Pasipanodya Elizabeth C , Montoya Jessica L , Campbell Laura M , Hussain Mariam A , Saloner Rowan , Paolillo Emily M , Jeste Dilip V , Letendre Scott L , McCutchan J Allen , Heaton Robert K , Moore David J 
Published: November 2019

Abstract

Objective
Neurocognitive performance among older persons, including those living with HIV (people living with HIV [PLWH]), exhibits significant heterogeneity, suggesting subpopulations with differing profiles of neurocognitive impairment (NCI). Metabolic factors are associated with NCI, but their relationships to cluster-derived NCI profiles are unknown.

Method
Participants (144 PLWH and 102 HIV uninfected) aged 50+ years completed a neuropsychological battery assessing seven cognitive domains. Latent class analysis (LCA) identified NCI profiles separately by HIV serostatus and in a combined sample. Obtained classes were examined against the Montreal Cognitive Assessment (MoCA) and diagnoses of HIV-associated neurocognitive disorders (HAND). Multinomial regression identified metabolic predictors of classification.

Results
LCA identified three latent classes in each participant sample: Class1Multidomain NCI (high probability of impairment across multiple domains), Class 2Learning & Recall NCI (high probability of impairment in learning and recall), and Class 3NC Unimpaired (low probability of NCI across all domains). Severity of NCI implied by classes corresponded with MoCA scores and HAND diagnoses. In analyses on the combined sample, compared to HIV-uninfected individuals, PLWH were more likely to be in Class1Multidomain NCI. Among PLWH, those with dyslipidemia and hypertension had greater odds of classification in Class 1Multidomain NCI while those with central obesity had higher odds of classification in Class 2Learning & Recall NCI; metabolic syndrome approached significance as a differential predictor. Regardless of HIV status, individuals with diabetes were more likely to be in Class 1Multidomain NCI.

Conclusions
Metabolic risk factors confer heightened risk of NCI in HIV infection. Interventions to reduce metabolic risk may improve neurocognitive outcomes among PLWH.
Towards a comparative approach to the structure of animal personality variation
Authors: White Stephen John , Pascall David John , Wilson Alastair James 
Published: November 2019

AbstractLatent personality traits underpinning observed behavioral variation have been studied in a great many species. However, a lack of standardized behavioral assays, coupled to a common reliance on inferring personality from a single, observed, behavioral trait makes it difficult to determine if, when, and how conclusions can be directly compared across taxa. Here, we estimate the among-individual (co)variance structure (ID) for a set of four behaviors expressed in an open field trial, putatively indicative of boldness, in seven species of small freshwater fish. We show that the ID matrices differ in terms of the total amount of variation present, and crucially the orientation, and as a consequence, biological interpretation of the first eigenvector. Specifically, loading of observed traits on the main axis of variation in ID matched a priori expectations for a shy-bold continuum in only three of the seven cases. Nonetheless, when the “shape” of the matrices was compared in higher dimensions, there was a high level of similarity among species, and weak evidence of phylogenetic signal. Our study highlights the present difficulty of trying to compare empirical inferences about specific personality traits across studies. However, it also shows how multivariate data collection and analysis allows the structure of behavioral variation to be quantitatively compared across populations or species without reliance on ambiguous verbal labels. This suggests that the field may have much to gain from greater uptake of phylogenetically informed comparative approaches when seeking to test evolutionary hypotheses about the origin and maintenance of personality variation.