bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effects of Pheophytin a on Absorption Properties of Phytoplankton in Dalian Bay, China
Authors: Wang Lin , Jiang Lingling , Xing Xiaogang , Chen Yanlong , Meng Qinghui 
Published: January 2020

Abstract
We examined the effects of pheophytin a (Phe-a) on absorption properties of phytoplankton obtained from the red tide prone area of Dalian Bay in the North Yellow Sea, China, in June 2007 and July 2011. When the proportion of Phe-a relative to chlorophyll-a (Chl-a) increased, the absorption peak in the blue-violet region shifted from 438nm to 409nm. The relationship between blue-violet absorption maximum and Phe-a concentration is more tightly correlated than the relationship between blue-violet absorption maximum and Chl-a concentration. However, we found the opposite results for the red absorption maximum. These findings suggest that Phe-a mainly effects the blue-violet absorption maximum, while Chl-a primarily controls the red absorption maximum. Our results are determined by specific absorption coefficients of Phe-a and Chl-a in living algae cells. A multivariate linear regression analysis revealed that the specific absorption coefficients of Phe-a accounts for the absorption peaks at 407 nm and 673 nm, and specific absorption coefficient of Chl-a accounts for the absorption peaks at 440 and 673 nm, furthermore, the specific absorption coefficients of Phe-a are much larger than those of Chl-a in the blue-violet region, but they are lower in the red region.
Rapid Determination of Minced Beef Adulteration Using Hyperspectral Reflectance Spectroscopy and Multivariate Methods
Authors: Guo Bingqing , Zhao Jinling , Weng Shizhuang , Yin Xun , Tang Peipei 
Published: January 2020

Abstract
This work aimed to assess the potential of hyperspectral reflectance spectroscopy for minced beef adulteration. For this, 30 samples of pure minced beef along with 90 samples adulterated beef at different levels were prepared and analyzed. Multivariate methods were used for spectral analysis to classify adulteration types. The best result was obtained by random forest (RF), where the accuracy of classification in prediction set was 87.78%. Considering the redundant information of reflectance spectra, the optimal wavelengths were selected by successive projection algorithm (SPA) to improve robustness. Selected important wavelengths models have a better classification effect than full wavelengths models. The optimal model developed by RF for detecting adulterantion types achieved an accuracy of 96.87% in prediction set with selected wavelengths. Accordingly, hyperspectral reflectance spectroscopy with multivariate methods can provide the accurate and rapid detection of minced beef adulteration.
Atrial Fibrillation Detection Algorithm Based on Manual Extraction Features and Automatic Extraction Features
Authors: Shen Mengting , Zhang Luqiao , Luo Xue , Xu Jing 
Published: January 2020

Abstract
Atrial Fibrillation is a common arrhythmia. RR interval irregularity and P wave disappeared and replaced by continuous f-wave is the two important ECG manifestations of atrial fibrillation. RR interval irregularity can also be reflected in other types of arrhythmia, P Wave or f wave is a weak signal, its feature point detection is difficult and shape features are difficult to grasp. Therefore, this paper proposes a method combining manual extraction features and neural network extraction features for atrial fibrillation detection. Experiments were performed using the MIT-BIH atrial fibrillation database. The ECG signals were first processed into equal-length data, and then the 180 dimensional time-frequency domain features were manually extracted and combined with the improved 128 dimensional features extracted by the neural network. The extracted feature input integration model, the sub-model includes Decision Tree, Random forest, GBDT, XGBoost, LightGBM.In the final experiment, the stacking model was used. The accuracy, accuracy, recall rate, F1 and AUC were 99.1%, 98.9%, 98.9%, 98.9%, and 99.4%. This method is better than the single model, which provided a very good measure for detecting atrial fibrillation.
HRPGAN: A GAN-based Model to Generate High-resolution Remote Sensing Images
Authors: Sun Hai , Wang Ping , Chang Yifan , Qi Li , Wang Hailei , Xiao Dan , Zhong Cheng , Wu Xuelian , Li Wenbo , Sun Bingyu 
Published: January 2020

Abstract
Generative adversarial networks (GAN) has been mainly used in the generation of natural images such as MNIST, CIFAR10 as well as Imagenet datasets and achieves satisfying generation results. However, GAN always fails in generating high quality high-resolution remote sensing images because remote sensing images are large in size and have various ground objects. To address this issue, a novel framework called High-Resolution PatchGAN (HRPGAN) is introduced in this paper. The structure of HRPGAN follows PatchGAN, but the batch normalization layers are removed and the ReLU activation is replaced by the SELU activation. In addition, a new loss function consisting of the adversarial loss, perceptual reconstruction loss and regularization loss is used in HRPGAN. Experiment results show that the proposed HRPGAN model generates the more diverse and lifelike images in HR remote sensing generation than Bicubic method and TGAN model.
Optical Machine Remote Sensing Platform and Its Thermal Field Simulation Analysis
Authors: Liu Hao , Zhou Xiaoqin , Liu Qiang , Ma Runda , Lin Jieqiong 
Published: January 2020

Abstract
The article introduces a three-axis aerial remote sensing imaging platform that can flexibly and accurately acquire ground target images in the air. Then it analyzes the impact of various complex conditions on the imaging quality, and finds that temperature change is the key factor affecting the imaging quality of the aerial remote sensing platform. The thermal field analysis of the designed optical lens part of the aerial camera was carried out. The thermal field analysis of the lens model in the finite element analysis software was used to extract the displacement vector of each node of the lens under different temperature fields. The mirror data is fitted using the Zernike polynomial program written in the matlab software. And the Zernike polynomial program brings the coefficients of the obtained zernike polynomial into the optical design software zemax for image quality evaluation, and completes the thermal field analysis of the optical system. Do the foundation for further research.
Response of Vegetation Restoration to Water Resources Transfer Policy in Arid Watersheds, Northwestern China
Authors: Fang Xiaoqian , Wang Jiayi , Cao Yu 
Published: January 2020

AbstractMinqin Oasis is the irrigation area in the lower reaches of the Shiyang River in the Hexi Corridor. Since the beginning of this century, in order to prevent Minqin Oasis from further degrading due to lack of water, Gansu Province began to construct water transfer projection. In order to study the impact of water resources allocation policy on the ecological restoration of such ecologically fragile areas, this study took Minqin Oasis as the research object, and took Shuangta Irrigation area, which is in the Shule River Basin and similar to Minqin Oasis except for water transfer policy, as the contrast. Based on EOS MODIS NDVI data and runoff data from hydrological station, combined with remote sensing and GIS technology, using spatial analysis and regression analysis and other research methods, this paper analyzed the spatial and temporal characteristics of vegetation changes in the study area from 2000 to 2016, and the response of vegetation changes to water resources changes. The analysis results showed that, the water transfer policy increased the water resource of Minqin Oasis, and the dynamic change of vegetation in Minqin Oasis had a good response to the water transfer policy.
Earthquake Knowledge Graph Constructing Based on Social Intercourse Using BiLSTM-CRF
Authors: Sun Xiaoqing , Qi Li , Sun Hai , Li Wenbo , Zhong Cheng , Huang Yiliang , Wang Ping 
Published: January 2020

Abstract
Nowadays, the earthquake has become a very serious topic. The earthquake-related information always appears first in social media. Constructing an earthquake knowledge graph can help dealing with earthquake news social media text data. This paper proposed the BiLSTM-CRF (Bi-directional Long Short Term Memory-Conditional Random Field) model to construct earthquake knowledge graph using news text data. The BiLSTM-CRF model identified the entities and then writes entities and their types to the table so that the entities and relationships between entities can be extracted for earthquake. The entities and relationships between entities have been combined with the form of RDF (Resource Description Framework) to construct earthquake knowledge graph on Neo4j database.
A Study on Construction Plan of the Intelligent Home Supply Chain Integration Service Platform in the North of Zhejiang
Authors: Shen Yuyan , Qian Yan 
Published: January 2020

Abstract
This paper has combined theopportunity of Zhejiang Province to develop the modern supply chain, as the double factors of endogenous and external demands, the home city has met the urgent need to improve development, based on Haiyan convenient transportation and good location advantages, constructZhebei Intelligent Home Supply Chain Integration Service Platform. Throughthe creation of a characteristic commercial complex, aim to become a characteristic commercial complex through the overall transformation and upgrading of the market. The construction of Zhebei Intelligent Home Supply Chain Integration Service Platform is conducive to optimize the investment environment of Haiyan and enhance the competitiveness of Haiyan City.
Research on Roll Attitude Control of UAV Based on Active Disturbance Rejection Control
Authors: Sun Zonghua , Wu Liaoni , Guo Zhiming , Zhang Hanqi 
Published: January 2020

Abstract
The roll attitude control of small high-speed unmanned aerial vehicle (UAV) is very difficult compared to the conventional low-speed UAV. The dynamic pressure is large and the moment of inertia is too small, which cause the aileron is sensitive to manipulation. The roll attitude may oscillate due to the actuator rate limiting. In response to this feature, the active disturbance rejection control (ADRC) is added to compensate the nonlinear part of the system, so that the system is close to an integral link. The problem of the actuator rate limiting can be solved by tuning the gain of the angular rate control to change the system bandwidth. On the other hand, the rolling motion is, in general, coupled from the yawing and sideslip motions. ADRC can decouple the roll channel and the yaw channel, solving the nonlinear problem of control. Combination with the requirements of frequency and time domain, design the roll attitude controller. The UAV nonlinear simulation results show that the roll attitude control based on ADRC meets the flight control requirements.
Finance Industry Network Structure of Guangdong-Hong Kong-Macao Greater Bay Area
Authors: Cao Huashen , Xu Yanli 
Published: January 2020

Abstract
This paper applies social network analysis methods to study the network structure of the finance industry in the Guangdong-Hong Kong-Macao Greater Bay Area. The paper applies gravity model to measure the connections intensity of financial industry, and analyze the network structure by social network method of networks visualization, centrality analysis, and cohesive subgroups. The results are as follows : (1) the development of the finance industry in the Greater Bay Area is gradually balanced; (2) the centers of the finance industry network in the Greater Bay Area are Guangzhou and Shenzhen, followed by Dongguan, Foshan, and Hong Kong; (3) finance industry network structure in the Greater Bay Area can be divided into five major subgroups, the main subgroups being the one of Guangzhou and Foshan, the one of Shenzhen and Hong Kong, and the one of Macau and Zhuhai. This paper finally concluded that the finance industry network structure in the Greater Bay Area is centered in Guangzhou and Shenzhen, and that Guangzhou, Shenzhen, and Hong Kong are closely connected, and other cities are loosely connected.
Dynamic Changes of Aboveground Biomass of Vegetation in Qaidam Basin
Authors: Du Yu’e , He Weiguo , Zhou Jianping , Ma Songyao , Yuan Jun , Wang Yagang 
Published: January 2020

Abstract
In order to monitor the temporal and spatial dynamics of vegetation in the Qaidam Basin, the ground-based vegetation biomass model of the basin was established by using basin ground measurements data during 2016-2018 and NDVI of MOD13Q1: Y=0.0002X2-0.863X+2052.4(R2=0.7656, P<0.01), and using this model to estimate the long-term aboveground biomass data set of the vegetation of basin. Above-ground biomass of vegetation is mainly low-yield vegetation of less than 1500 kg/hm2, followed by vegetation of 1500-3000 kg/hm2, the area of which accounts for less than 10% of the total vegetation area, and the vegetation of the other levels is very small, only scattered, High-yield vegetation which is greater than 6000 kg/hm2 is distributed in the southeast of the basin and in the alpine mountains around the basin
Research on Planning and Design of Mountainous B&B Based on Geographic Information System
Authors: Shi Yanlei , An Yonggang , Huo Pengfei , Zhang Lisheng 
Published: January 2020

Abstract
In recent years, the rise of homestay tourism has brought great benefits to the tourism industry, and the tourism of the hotel has come to a new stage. At present, many mountainous areas in China have abundant natural resources and free houses, which are suitable for the development of B&B tourism. However, there are few studies on the planning and design of mountain-type B&Bs. Based on the spatial information system analysis of a mountainous area in China, this paper combines resource evaluation to design and provide a scientific basis for the planning and design of mountain-type B&B.
Design and Research on Visual Image of Rural Tourism Brand in Pinggu District of Beijing under the Background of Rural Revitaliation
Authors: Xue Caochen , An Yonggang , Huo Pengfei , Zhang Lisheng 
Published: January 2020

Abstract
Brand visual image plays a very important role in modern tourism marketing, and it is an important channel for tourists to obtain tourism destination positioning. It can not only provide consumers with directional information of tourism destination, but also help the development of local industry and the sale of products. Based on the analysis of the role of visual image design in the shaping of rural tourism brand image, combined with the background of Rural Revitalization policy and the characteristics of rural tourism brand image, this paper constructs the model of rural tourism brand image, and puts forward the promotion strategy of rural tourism brand image.
Burner rim geometry effect on flame stability
Authors: Al-Naffakh Jameel , Al-Fahham Mohammed , Abed Qahtan Adnan 
Published: January 2020

Abstract
We studied a swirl burner in atmospheric pressure combustion system with different burner lengths to burner rim diameter ratios (L/D). Three ratios, of L/D 1, 2 and 3, were used to investigate the effect of the burner’s geometry on the stability window. The results show that the position of the flame front stabilization changes with L/D ratio. The flame front stabilizes closer to the burner rim as the length of the burner is increased. The equivalence ratio of the mixture was taken as constant for the comparison’s sake. The flame stabilizes closer to the rim with an increase of the rim length.
Path tracking and backstepping control for a wheeled mobile robot (WMR) in a slipping environment
Authors: Hadi Nabil H , Younus Kawther K 
Published: January 2020

Abstract
This work studies the motion of a two-wheeled differential drive mobile robot by presenting the kinematic and dynamic model of a nonholonomic wheeled mobile robot (WMR) with and without slip effect. The traction forces are derived and a control law designed using the backstepping method to drive the WMR to the desired trajectory. The parameters of the kinematic and dynamic controllers are tuned and modified to reach the desired performance. In addition, the input torque is controlled to avoid slip occurring. Simulation results show the effectiveness of the proposed control algorithm that is demonstrated by applying these controllers at different case studies (circular trajectory, elliptical trajectory, sinusoidal trajectory, infinity trajectory, and line trajectory), these results show good matching between desired trajectory and simulation, while the errors converge to zero rapidly. It shows good performance in minimizing the overshoot and reducing energy and the transient response time.
Weight Optimization of Thick Plate Structures Using Radial Basis Functions Parameterization
Authors: Marzbanrad Javad , Rostami Pooya 
Published: January 2020

Abstract
This study sought to optimize the weight of thick plate structures with topology optimization. Topology optimization is a numerical method for identification of voids in the design domain, to aid weight and material reduction. The level set approach is a new method in topology optimization. In this work, the radial basis functions level set approach is used to parameterize the continuum domain. The radial basis functions are used to parameterize the level set functions, which comprise axial symmetric, real value functions. These functions are suitable tools for function approximation. Thick plates are one of the most useful and familiar geometries in structural and mechanical engineering applications. Topology optimization of such structures would be very useful to identify efficient and lightweight plate structures. In this paper, the effectiveness of the parametric level set approach in topology optimization of clamped plate is demonstrated. The results show smooth boundaries and there are no intermediate densities, which constitutes a major advantage.
Effect of Axial Profile Modification on the Characteristics of a Finite Length Misaligned Journal Bearing
Authors: AL-Dujaili Zahraa A. , Jamali Hazim U. , Al-Saadi Moneer 
Published: January 2020

Abstract
Misalignment in journal bearings is a common industrial problem which affects the general performance of the bearing. This includes a significant effect on the load carrying capacity of the bearing and the change in the level and shape of the pressure distribution. There are many causes for the presence of misalignment in the practical uses of the journal bearing system, such as deflection of the shaft under high levels of load, manufacturing errors, installation error, and others. In the case of severe misalignment levels, a sharp drop in the lubricant film thickness or even a direct contact may occur between the shaft and the bearing at the edges of the bearing. This paper considers such extreme cases of misalignment, where the introduction of bearing axial profile modification to prevent edge contacts is investigated in detail. A general 3D model of misalignment for the case of a finite length bearing is considered in the analyses, where the Reynolds equation is solved numerically based on the finite difference method. The results reveal that the use of profile modification leads to an improvement in the levels of film thickness and an increase in the load-carrying capacity of the bearing.
The Contribution of Capacity Credit on Reliability of Generating System Adequacy
Authors: Kadhem Athraa A. 
Published: January 2020

Abstract
A conventional generating unit is more reliable than a wind energy conversion system (WECS), in terms of capacity value. It performs an essential role in supplying reliable energy for electrical systems. Wind energy is considered a fundamental alternative source for electrical power generation. So far, it is difficult to secure wind speed data that covers a long period and is suitable for wind energy generation assessment. Generating wind power often includes uncertainties, due to the stochastic nature of wind speed. Hence, the capacity credit (CC) of the WECS is intermittent in nature. There are numerous approaches that can be adopted for evaluating the CC of wind power generation, for designing and planning new investment capacities. This paper examines the use of capacity credit from the WECS to obtain the load capacity benefit ratio (LCBR) for the reliability of power systems. To calculate CC, the IEEE-MRST-79 is used to elucidate the proposed technique. A sequential Monte Carlo simulation (SMCS) technique is used to determine the reliability of the generating systems which includes the WECS.
Investigation of Silicon Nanowires Produced by Metal-Assisted Chemical Etching Method
Authors: Alher Murtadha A. , Mosleh Aboozar , Banihashemian Seyedeh Fahimeh 
Published: January 2020

Abstract
Silicon nanowires (SiNWs) have a strong potential in many fields. The investigation of fabrication methods for SiNWs has attracted much attention in semiconductor applications. This paper proposes a metal-assisted chemical etching (MACE) method as a low-cost and simple method for fabrication of SiNWs. This method is based on the electroless metal deposition (EMD) principle. We have studied the conditions of MACE method for fabrication of SiNWs on (100) p-type silicon wafer. A 0.005 AgNO3 and 4.8 M HF solution is used for metal-assisted depositing of the silver nanodots. The etching process is achieved by etchant solution consisting of 4.8 M HF and different concentrations of H2O2. The effect of etching parameters, such as etching time, H2O2 concentration and the dipping time, are investigated. Taguchi with L9 orthogonal array is used by software package MINITAB 17 for designing the experiments. The results of scanning electron microscopy (SEM) observations shows the formation of the silicon nanowires. The effect of the different conditions on the size of the SiNWs is analyzed using S/N ratio and ANOVA approach. The results show that etching time was the most significant factor in the SiNWs fabrication.
Hot Press Bonding of Aluminum Alloy AA6061-T6 to Polyamide and Polyamide Composites
Authors: Tolephih Moneer H. , Abood Adnan N. , Saad Hussein M. 
Published: January 2020

Abstract
In this study, aluminum alloyAA6061-T6 was joined by a hot press process with three types of material; polyamide PA 6.6 (nylon), 1% carbon nanotube/PA6.6 and 30% carbon fiber/PA6.6 composites. Three parameters were considered in the hot pressing; temperature (180, 200 and 220°C), pressure (2, 3, 4, 5 and 6 bar) and time of pressing (1, 2, 3, 4 and 5 minutes for 200ºC, and 0.25, 0.5, 0.75, 1 and 1.25 minutes for220ºC). Applied pressure has great effect on shear strength of the joint, corresponding to bonding time and temperature. Maximum shear strength was 8.89MPa obtained for PA6.6 at bonding conditions of 4 bar, 220ºC and 0.75 minute. For 30% carbon fiber/PA6,6 shear recorded was 8MPa at 4 bar, 220°C and 1 minute, while 1% carbon nanotube/PA6.6 was registered at 8MPa at 4 bar, 220ºC and 0.75 minute. Mechanical interlocking of polyimide in anodizing surface is 8μm approximately. The melting point and glass transmission temperature of polyimide and composites are decreased after hot pressing.