bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Assessment Method of Structure Strength Analysis on Full-Scale LNG Independent Type C Tank
Authors: Liu Ge , Xie Zheng , An Qianglin , Pei Fei 
Published: September 2020

Abstract
The sloshing induced by partial loaded in LNG (Liquified Natural Gas) independent type C tank will threat the structure of tank. The strength check of the tank plays an important role in the design of LNG tank, which can also improve the safety of the cargo containment system. Hence, an assessment method of the structure of LNG independent type C tank is presented, in which the method of one-way fluid-structure interaction is used. Sloshing load is considered with a numerical technique based on CFD theory, which can reduce large computational expense and remain a good accuracy. The dangerous conditions of sloshing pressure are determined by frequency domain analysis of the tank and ship. By computation of sloshing condition of 1000 m3 fuel bunker vessel, the feasibility of this method is explained and suggestions on structure design of tank is given.
A Data Simulation Method of Bank Fraud Transaction Based on Flow-Based Generative Model
Authors: Wang Xiaoguo , Zhang Yin 
Published: September 2020

Abstract
In order to solve the problem of category imbalance caused by the shortage of bank fraud transaction data, this paper proposes a bank fraud transaction data simulation method based on flow-based generative model. On the basis of the flow-based generative model and the real fraudulent transaction data of the bank, this method designs a generative model suitable for the bank data, and learns the distribution of the real data through the generators G and G-1. The experimental results show that mixing the generated simulated data and real business data in a certain proportion to train the fraud detection model can improve the detection effect of the model to a certain extent.
Securing the Private Key in Your Blockchain Wallet: A Continuous Authentication Approach Based on Behavioral Biometric
Authors: Hu Teng , Liu Xiaolei , Niu Weina , Ding Kangyi , Wang Yanping , Zhang Xiaosong 
Published: September 2020

Abstract
As blockchain is increasingly valued, the application of blockchain and its security has become a research hotspot. Not only that, more and more ordinary users are paying attention to the blockchain and beginning to trade commodities in cryptocurrencies. The blockchain wallet is a program for users to manage and stores their private keys. Furthermore, the private key is the user’s unique credential to the cryptocurrency in the blockchain. But for now, blockchain wallets are only using passwords to authenticate users, which poses a potential risk to private key security. To mitigate this risk, this paper proposes a continuous authentication approach based on user mouse behavioral biometrics. The approach was experimentally shown to be able to authenticate once per second with an average FAR and FRR of 6.92% and 6.18%, respectively.
Examination Paper Image Segmentation with Adversarial Network
Authors: Hu Siquan , Zhang Muliang , Shi Zhiguo , Zhang Min 
Published: September 2020

Abstract
Examination paper analysis is important for students to improve their learning efficiency. Traditional paper examination papers are difficult to sort out, which makes collecting mistakes for future review both time-consuming and laborious, either by handwriting or existed software tools. To easy the process, we propose a layout analysis method combined with the conditional generative adversarial network (CGAN). The traditional semantic segmentation structure is improved and used as a generator in the network, while a discriminator is designed to make the segmentation results more accurate. The motivation is that the discriminator can judge the authenticity of the image, so it can help reduce the unreasonable phenomenon in the semantic segmentation results of the generator. The experimental results show that by this method the examination paper image can be welly split into various components, which provides convenience for further sorting and analysis of the examination paper images.
Fresh Agricultural Products Cold Chain Location Selection in Context of Big Data
Authors: Weng Lili 
Published: September 2020

Abstract
In the domestic fresh market, agricultural products are one of the major consumer goods. The rational optimization of the fresh agricultural products cold chain distribution center location is of great significance in enhancing the efficiency of the entire cold chain logistics. Therefore, in the context of big data, this paper chooses the grey forecasting method with a higher prediction accuracy, applied GM(1,1) prediction model for fresh agricultural products demand forecast under the premise of comparing different forecast methods’ accuracy; Basing on the demand forecast, this paper formulates fresh agricultural products distribution center location model with the minimum total cost objective. In this objective, the thesis considers the cost of cargo damage and the penalty cost of violating the time window in order to this order to improve customer satisfaction and loyalty, which is considered by a few researchers. Finally, a specific case study is designed for Q enterprise to solve the optimal the result and test the validity of the model algorithm.
Research on Health Management Platform Based on Data Analysis
Authors: Li Qin , Lan Jian , Li Gang 
Published: September 2020

Abstract
In order to solve the problem of economic loss and human casualties caused by aging and damage of resistant material lining of torpedo tank during steelmaking, this paper proposes a health management platform of torpedo tank based on data analysis combining cloud platform and big data analysis. The platform has completed the acquisition, transmission, storage, analysis, mining and visualization of real-time temperature data of torpedo tank truck. The fault prediction of refractory lining of torpedo tank truck based on temperature data is realized, which provides data basis for torpedo tank overhaul. This platform can be used for reference for remote monitoring and health management of similar objects.
Key Technologies of Intelligent Manufacturing of Protection and Control Equipment in Ubiquitous Power Internet of Things
Authors: Wang Xiang , Zhao Jianfen , Wang Zhiguo 
Published: September 2020

Abstract
As the most basic and lowest data node of ubiquitous power Internet of things, power system protection and control equipment plays a vital role in the stable operation of ubiquitous power Internet of things. The current status and problems of power system protection and control equipment manufacturing are discussed. Aiming at the National Equipment Manufacturing Industry Standardization and Quality Improvement Plan, the production intelligent manufacturing standards and related test verification standards of power system protection and control equipment are put forward. Four key points of intelligent manufacturing of power system protection and control equipment are studied. Technical features: intelligent design verification, intelligent production scheduling verification, intelligent production, power control and protection equipment life cycle data management. Through the gradual implementation of these technologies, the level of intelligent manufacturing of protection and control equipment for ubiquitous power network interconnection has been improved, hoping to promote the implementation and application of national equipment manufacturing standards in the power industry.
Subspace Clustering by Integrating Sparseness and Spatial-Closeness Priors
Authors: Li Zhe , Pei Haodong , He Liang , Liu Jiaming , Hu Jiaxin , Wang Dongji 
Published: September 2020

Abstract
How to construct an effective sample affinity matrix is an important problem for subspace clustering, and most existing subspace clustering algorithms pursue the affinity matrix in a single space. In this paper, we propose a novel computational framework for subspace clustering, called Complementary Subspace Clustering (CSC) at first, where the affinity matrix is constructed in a pair of complementary spaces which provide different and complementary constraints on the affinity matrix. Many existing structural priors on self representation and dimensionality reduction can be seamlessly integrated into the CSC framework. Then under this framework, we explore a simple and effective subspace clustering algorithm by respectively introducing two basic priors - sparse representation and spatial closeness - into the referred pair of spaces. Moreover, a kernel variant of the proposed clustering algorithm is present. Extensive experimental results demonstrate that although only basic priors are involved, the explored algorithms from the CSC framework can improve the clustering performances significantly when the number of the sample classes is relatively big.
Analysis on the Influencing Factors of the Reform Design of the Teaching Building of Design College Based on ISM
Authors: Xie Guanyi , Chang Xiaowen 
Published: September 2020

Abstract
Background The renovation design of the teaching building of Design College of South China University of Technology needs to achieve the design objectives of function replacement, space reorganization and improvement of space quality. Problem The space utilization rate of the existing teaching building is low, which cannot meet the teaching efficiency; and because the teaching building was originally used as a public classroom which is a teaching space without college characteristics. Technology This paper summarizes the influencing factors by means of literature inquiry, field investigation and interviews, and uses Interpretative Structural Model (ISM) to analyze the hierarchical relationship among the factors obtained in the investigation, so as to help people understand the logical relationship within the complex system at a more hierarchical level through this method. Target With the help of this method, the key factors affecting the renovation design of teaching buildings are summarized, and the ISM is constructed to provide guidance for an effective solution strategy. Conclusion the ISM method is used to extract the relevant design elements and form the design model of the system, which provides a useful reference for the smooth implementation of the reform project.
An Anti-collision Early Warning System for Mine Trucks Based on RBF Network and WIFI
Authors: Xiao Dong , Li Hongzong , Ji Zhiwen , Xu Enjie , Luo Bendong , Chen Jinghuang 
Published: September 2020

Abstract
Heavy-duty trucks in open-pit mines are of huge size and blind areas, so it is difficult for drivers to see other vehicles around the blind areas. In addition, due to the dullness of transportation in mines, drivers are prone to distraction and other phenomena, so collisions between vehicles occur from time to time. In existing technologies, such as radar and infrared ranging, it is difficult to detect vehicles on the other side of the bend at the bend, and it is vulnerable to dust and weather, resulting in false alarm. Aiming at the above problems, a collision prevention and warning scheme for heavy truck in open pit mine based on RBF network and WIFI is proposed. That is to say, a WIFI ranging module is installed in the middle of each mining truck. When the distance between the two trucks is less than the defined range, an early warning signal will be sent, indicating that there are other vehicles near the driver and paying attention to driving safety. The measurement error of WIFI ranging is easy to fluctuate in a long distance, but WIFI ranging has the advantages of long measurement distance, not easily affected by weather and dust, low cost and so on. For the system modeling, the author went to Deerni Copper Mine to collect data, such as the main test parameters: ranging, signal intensity and so on. The model between WIFI signal intensity and distance is constructed. The results show that the system has better measurement accuracy, and thus realizes the early warning function. It realizes the automatic collection and identification of wireless information when vehicles approach, which is of great significance for reducing and eliminating the collision accidents of open-pit transport vehicles and improving the level of safety management.
A Study of the Operation Parameters of a Tube Chain Conveyor Based on Discrete Element Simulation
Authors: Yao Yanping 
Published: September 2020

Abstract
Computer simulation design can be utilized to determine operation parameters for tube chain conveyors (TCCs), such as a reasonable material filling rate and running speed of the scraper chain; this approach can shorten the developing cycle of TCCs and reduce developing costs. This study chose three material filling rates (75%, 60%, and 50%) and the corresponding running speeds of the chain (0.37 m/s, 0.47 m/s and 0.57 m/s) as research variables. Using simulation software implementing the engineering discrete element method (EDEM), we obtained the chain tension values during material conveyance. By comparing these values with those obtained in a field experiment measurement under the aforementioned conditions, we conclude that the EDEM simulation results are consistent with the experimental measurement results. This study demonstrates that it is plausible to simulate different operation parameters of TCCs using EDEM simulation, which provides a computer design method for rationally determining the operation parameters of TCCs.
Architecture Design of Teenager Mental Health Evaluation System Based on High Concurrency and High Availability
Authors: Zhang Yongxiong , Huang Xiangzheng , Wang Liangming 
Published: September 2020

Abstract
In order to solve the problem of high concurrency and stability of real-time collection and analysis of teenager mental health data, this paper proposes a high concurrency and high availability system architecture based on Docker container, choreography and deployment technology and artificial fish swarm algorithm. To solve the problem of low efficiency of Kubernetes default scheduling algorithm, this paper designs a parallel scheduling algorithm using artificial fish swarm algorithm. The experimental results show that the parallel scheduling algorithm is effective. For the complexity of container redundant operation, this paper designs a microservice rank scheme. Combined with AFS-FCM algorithm, the microservice rank of the system platform is determined, so that the redundant equipment can be automatically optimized for high availability.
Design of Photovoltaic Power Generation System Based on Single Chip Microcomputer
Authors: Chen Gang , Chen Guangzhou , Chen Dongsheng 
Published: September 2020

Abstract
This paper describes the design of photovoltaic power generation system based on SCM (single chip microcomputer). This system adopts the SCM with photoresistor sensor as the detective devices. By using the CSM with PID and the dual-axis servo, it can achieve the aim of automatic sun tracking, so that the solar panel will face sunlight at any time. Finally, the voltage data is shown to evaluate the proposed system by LabVIEW software, which ensured the measurement accuracy. What’s more, this system uses solar energy as the energy, which is economical and environment friendly. It accords with the human’s needs of environmental protection.
Shared Massage Chair Application in the Context of IoT: Take “Lemobar” as an Example
Authors: Jiang Qingquan , Lin Qiaozhen , Zhang Rui , Huang Honggang 
Published: September 2020

Abstract
The increase in productivity brought about by every technological change in history will also profoundly affect and change people’s lifestyles and habits. The increasing maturity and wide application of the Internet of Things technology has brought unlimited possibilities for business. The further development of artificial intelligence will make big data integrated through the Internet of Things and create greater value. The “sharing economy” has deeply affected people’s lives in recent years and been widely reported and triggered by many scholars’ research. This paper explores the shared massage chair that is rarely studied from a technical point of view, compared to the popular shared bicycle, shared power bank, and takes Lemobar as an example, which is so far the benchmarking in the shared massage industry. This paper innitially concludes the development process of shared massage that is changing with technological progress, and furthermore analyzes the shared massage application including software & hardware support, operation management, system integration and different kind of scenarios combination. The application of Lemobar is a remarkable case of human and machine interaction in the context of Internet of Things and big data.
Capacitor Detection on PCB Using AdaBoost Classifier
Authors: Fang Jian , Shang Lina , Gao Guangchun , Xiong Kai , Zhang Cui 
Published: September 2020

Abstract
In PCB manufacturing, automatic optical inspection (AOI) is a key technology to improve production efficiency and quality. At present, most of the AOI algorithms are aimed at PCB and SMD components. An AOI algorithm for plug-in polar capacitors is proposed in this paper. The algorithm mainly uses AdaBoost classifier based on Haar-like feature to realize the recognition of plug-in capacitors. The polarity of the capacitor is detected by comparing the image features of the target capacitor. Experimental results show that the algorithm proposed in this paper can effectively detect two kinds of defects: capacitor missing and capacitor polarity opposite. The algorithm can be applied to the AOI detection of PCB before and after wave soldering.
Single-frequency, pulsed Yb3+-doped multicomponent phosphate power fiber amplifier
Authors: Balliu Enkeleda , Boetti Nadia G , Pugliese Diego , Lousteau Joris , Engholm Magnus , Milanese Daniel , Nilsson Hans-Erik 
Published: September 2020

Abstract
High-power, single-frequency, pulsed fiber amplifiers are required in light detection and ranging, coherent laser detection, and remote sensing applications to reach long range within a short acquisition time. However, the power-scaling of these amplifiers is limited by nonlinearities generated in the optical fibers, in particular by stimulated Brillouin scattering (SBS). In this regard, the use of multicomponent phosphate glasses maximizes the energy extraction and minimizes nonlinearities. Here, we present the development of a single-stage, hybrid, pulsed fiber amplifier using a custom-made multicomponent Yb-doped phosphate fiber. The performance of the phosphate fiber was compared to a commercial Yb-doped silica fiber. While the latter showed SBS limitation at nearly 6.5 kW for 40 cm length, the maximum achieved output peak power for the multicomponent Yb-doped phosphate fiber was 11.7 kW for 9 ns pulses using only 20 cm with no sign of SBS.
Diversiform propagation of hollow Gaussian beam clusters in non-linear media with self-induced parabolic potentials
Authors: Song Limin , Yang Zhenjun , Guo Jianli , Du Boyue , Pang Zhaoguang 
Published: September 2020

Abstract
We report the diversiform propagation of hollow Gaussian beam clusters in non-linear media with self-induced parabolic potentials. It is found that the beam cluster can present various periodically varying propagation forms by tuning the initial incident conditions. We roughly classify the initial incident cases into five types—parallel incidence, spiraling incidence, convergent incidence, divergent incidence, and mixed incidence—ground on the introduced transverse velocity parameter. The propagation characteristics, such as the evolutions of the intensity patterns, the projection trajectories, the rotating angle, the angular velocity, the center distance, the size and the phase distribution of the beam cluster, are illustrated graphically in detail. These novel forms of beam clusters presented in this paper possess complicated and unique spatial distribution and controllable propagation parameters for their potential applications in all-optical networks, optical switch, optical tweezers, multi-particle trapping, and other related fields.
Effect of ultrathin palladium layer in achieving a low temperature and pressure wafer level aluminum to aluminum bonding
Authors: Cheemalamarri Hemanth Kumar , Bonam Satish , Vanjari Siva Rama Krishna , Singh Shiv Govind 
Published: September 2020

Abstract
Metal-Metal diffusion bonding was reassuring for micro electro mechanical system (MEMS) packaging and three dimensional (3D) integration. Despite copper and gold, aluminum (Al) is also proficient for wafer-level bonding due to its CMOS compatibility. As of now, a successful bonding reported with a temperature requirement is >300 °C, due to chemically unwavering surface oxide on the aluminum surface. In this work, a facile method of successful Al–Al bonding at a low temperature and pressure by passivating Al surface with another ultrathin noble metal has been reported. Here, a systematic study for selecting a required optimum ultrathin passivation layer thickness in making the surface to be free from surface oxide formation is provided. Also, looking over in an enhancement of surface morphology and microstructure by varying the thickness of an ultrathin passivation layer. Added to this, after obtaining the required oxide-free surface, we conducted wafer-level thermo-compression bonding for optimizing low temperature (∼250 °C) and pressure (∼3 MPa) by inspecting interface quality and reliability studies. We put forward that the proposed bonding technique is promising to use at the wafer-level, to integrate high-performance chip stack interconnects and facile packaging methods for micro-electro-mechanical systems.
Structural and optical characterization of pure and SnZrO3 doped PS based polymer nanocomposite
Authors: Hussen Sarkawt A 
Published: September 2020

Abstract
This report presents a straightforward, an efficient and a promising methodology for the preparation of nanocomposite polymer (NCP) systems composed of polystyrene (PS) as the host polymer with addition of SnZrO3 filler. For structural study and optical properties determination of the prepared samples; x-ray diffraction (XRD), and ultraviolet-visible (UV–vis) spectroscopy was performed, respectively. From XRD pattern several new peaks of the composites appearance as an evidence of strong interaction between the polymer matrix and the filler. The crystalline size of nan-particles were estimated using Debye–Scherrer’s equation. The fundamental optical parameters, for instance refractive index (n), optical band gap energy (E

g
), optical dielectric loss (ε

i
), and optical dielectric constant (ε

r
) have been determined in which the quantity of SnZrO3 is effective. Tauc’s equation has been used in the specifying the direct and indirect band gap energy. The absorption edge (Ea) shifting from4.42 to 3.74 eV is associated to the charge-transfer complexes creation within the composite films. There is an increasing in the n from 1.2 to 2.54 for pure PS upon addition of 12 wt.% doped that indicates the existence of few interaction between photons and electrons. The optical band gap and transition type are studied in detail. The exponent value (

r

) has been identified from Tauc’s equation using the ε
i against photon energy to measure optical band gap energy and specify the electronic transition types. This doping of filler has considerably increased the ε
r from (1.5–6.4) for pure PS sample and doped SnZrO3 nanoparticles.