bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quotation Strategies of Non-Truck Operating Common Carrier Based on Multivariate Statistical Regression and Triple Pricing Model
Authors: Zhao Sifan , Fan Lidan , Yu Penglin 
Published: April 2021

Abstract
Combined with the existing transaction orders of carless carriers, the numerical information and text and information are extracted, and the related factors of line guide price are integrated, and the relationship between relevant factors and line guide price is studied. Using the unified unit and 0-1 text setting method, preprocessing data, eliminating the influence of numerical units, quantifying textual data, so that the data can be put into the relevant equations for testing. According to the characterization relationship between the guiding price and factors, a multivariate linear statistical regression model was established, and the statistical P value was used for testing to verify the availability of the model. The index of price overflow rate and equilibrium degree are put forward as the standard to evaluate whether the transaction price of an order is reasonable. The normal distribution of orders can be verified by looking at the scatter plot of the cumulative percentage of transactions and the price spillover rate of orders. According to the central limit theorem of large sample data with normal distribution, the sample can be sampled in sections and the summation can be taken as the transaction probability. According to the operation mode of the vehicle-free carrier platform, the transaction mode of three quotations is added to re-quote the line. The pricing obtained from multiple linear statistical regression is used as the benchmark, and the dynamic pricing strategy is re-customized according to the principle of the first quotation giving priority to lowering the price, the second quotation giving priority to stabilizing the transaction, and the third quotation giving priority to the success rate. The sensitivity analysis shows that the platform can get a revenue increase of 33%∼48% based on this new pricing strategy, and meanwhile improve the balance and stability of orders. The research report provides a calculation method of a new quotation model with high turnover rate and stable income for the non-truck operating common carrier platform, and has a guiding significance for the construction of the non-truck operating common carrier trading system, especially the rationality of the price formulation and the stability of the transaction order quantity.
Task offloading algorithm of vehicle edge computing environment based on Dueling-DQN
Authors: Ouyang Yi 
Published: April 2021

Abstract
With the wide application of the Internet of vehicles, the rapid development of intelligent vehicles provides drivers and passengers with a good driving and riding experience. However, how to process a large amount of data messages in real time on resource-limited vehicle terminals is still a huge challenge, and it will cause great energy consumption to terminal devices. In this paper, a semi-online task distribution and offloading algorithm based on Dueling-DQN is proposed for time-varying complex vehicle environments. Firstly, the vehicle offloading system is built by the reinforcement learning, because the original optimization problem is a joint optimization problem with high complexity, and divided into the vehicle scheduling sub-problem and the vehicle computation resources optimization subproblem. We predicts different vehicle offloading behaviour, and calculates total rewards value after a series of vehicle offloading action, so as to update the vehicle offloading decisions. The simulation results show that this algorithm can improve the efficiency and energy consumption of computation tasks to a certain extent.
A Ship Target Detection and Tracking Algorithm Based on Graph Matching
Authors: Li Gaoyue , Qiao Yulong 
Published: April 2021

Abstract
This paper proposes a target detection and tracking system based on Hungarian graph matching algorithm and Kalman filter. Specifically, the algorithm converts continuous frame images of a detection network such as YOLOv3 into graph structure data as input information, and expresses the position information between the target and the target as points and lines in the figure. Then the Kalman filter is used to predict the position of the target in the next frame, and then the largest match between the picture constructed by the current frame and the picture constructed by the next frame is determined by the metric method of the fusion of the apparent feature and the motion feature, to achieve the purpose of tracking the target. For ships doing nonlinear motion, this paper proposes to improve the traditional Kalman filter system to an unscented Kalman filter system based on UT transformation. Experimental data shows that this method effectively improves the tracking effect of ships doing nonlinear motion.
Research on Database Parameters Tuning Method Based on Embedded Device
Authors: Geng Xiaoli , Xu Wenchao , Yin Yonghong 
Published: April 2021

Abstract
Various kinds of embedded terminal devices have enriched our lives. As a consequence, a huge amount of data has been generated, which often results in slow operation of the devices and a dramatic drop in data processing capacity. Database parameter tuning will be an important way to maintain or improve the performance of the devices. As database performance is affected by multiple parameters, manual adjustment is more and more difficult. With the development of machine learning, database automatic parameter tuning technology has become one of the main choices to solve this problem. This paper proposes to use MARS regression algorithm to optimize the database parameters of embedded devices, to perform regression prediction and fitting on each part of the data space respectively, and obtain the optimal parameter through the processes of forward, backward, and model selection. Experiments show that compared with the traditional method, the parameter optimization results generated through the method proposed in this article are very nearly the same as those obtained through the traditional method, but the time efficiency is significantly improved, hence improving the efficiency of embedded project development.
GCNGAN: Translating Natural Language to Programming Language based on GAN
Authors: Dai Hongming , Chen Chen , Li Yunjing , Yuan Yanghao 
Published: April 2021

Abstract
Cross-language translating has been well solved with the help of the processing of natural language processing(NLP). However, there are a few studies done about the domain of translating the natural language to programming snippets. Traditional method are mostly rule-based and limited to specific areas. In this paper, we propose a model based on Graph Convolutional Network(GCN)-Generative Adversarial Networks(GAN) to translate natural language to programming language. The generator is the encoder-decoder framework in which the encoder and the decoder are all bidirectional RNNs and GCN. And discriminator in GAN is also bidirectional RNNs and GCN. To improve the performance of semantic parsing, we also apply the attention mechanism to it. The experimental results indicate that our model has achieved comparable performance with some other state-of-the-art methods and has the stronger generalization ability.
A novel scatterer model for the security of key generation based on DISC model
Authors: Yang Yuanhang , Zeng Xin , Xue Xiaoping 
Published: April 2021

Abstract
Physical layer security is a method of extracting encryption keys according to the randomness of reciprocal propagation channels between legitimate users, and the security under normal circumstances is ensured according to the decorrelation between these channels and those tapped by eavesdropper. However, evidences show that in some scenarios, such as the environment of quasi-static or insufficient scattering, the tapped channel still has a strong correlation with the legitimate channel, leading to bits leakage and security imperilment of key generation. The effect of introducing scatterers has been experimentally proved, however, these studies are based on fixed positions or special models and there is yet a lack of research on the influences brought by various scatterer distributions. In this paper, we introduce scatterers into single-bounced DISC model and control their distributions through a probability density function with two degrees of freedom, aiming to deeply investigate the impacts of scatterer distribution on channel decorrelation as well as key security. Simulation results prove that spiral correlation between tapped channel and legitimate channel can be effectively reduced by increasing scatterers and arranging them around the legitimate receiver, which make contributions to reduce key leakage and improve security.
Emotion Recognition Model Based on Multimodal Decision Fusion
Authors: Zheng Chunjun , Wang Chunli , Jia Ning 
Published: April 2021

Abstract
In the process of human social activities and daily communication, speech, text and facial expressions are considered as the main channels to convey human emotions. In this paper, a fusion method of multi-modal emotion recognition based on speech, text and motion is proposed. In the speech emotion recognition (SER), a depth wavefield extrapolation - improved wave physics model (DWE-WPM) is designed. In order to simulate the information mining process of LSTM, a user-defined feature extraction scheme is used to reconstruct the wave and inject it into DWE-WPM. In the text emotion recognition (TER), the transformer model with multi attention mechanism is used to recognize the text emotion combined. In the motion emotion recognition (MER), the sequential features of facial expression and hand action are extracted in groups. Combined with the bidirectional three-layer LSTM model with attention mechanism, a joint model of four channels is designed. Experimental results show that the proposed method has high recognition accuracy in multi-modal, and the accuracy is improved by 9% in the interactive emotional dynamic motion capture (IEMOCAP) corpus.
Key Indicators Analysis Approach for Green Power Considering Contributed Characteristics
Authors: Zhang Xiangcheng , Chen Laijun , Li Hongxia , Si Yang , Yang Fan , Jiang Libo , Guo Yongqing 
Published: April 2021

Abstract
Key green power indicators are information which can intuitively reflect the status of green power construction in a region. Selecting reasonable key indicators will help to identify week link the development of green power, and promote the development of clean energy and power systems. A multi-dimensional quantitative analysis method for key green power indicators is proposed in this paper. First of all, this paper designed a set of indicators starting from the different links of power supply, grid and load. The indicator set includes three dimensions: green power development, green energy sharing and green power living, and the selecting method key green power indicators is established. Then, from the aspects of indicator score and indicator weight, a model for quantitatively evaluating the development level of green power was constructed to analyze the development week link of green power. Finally, the effectiveness and feasibility of the proposed method are verified by using the indicator data of Qinghai Province. Qinghai’s green power development level and development trend are quantified. The development balance of different links of green power was analyzed, and the constructed indicators are used to obtain the weak links of Qinghai’s green power development. The calculation examples show that the evaluation and analysis method proposed in this paper can help to quantify the level of green power development and guide the coordinated development of various construction parts.
Jet Mill Bit for Enhancing Cuttings Transportation and Decreasing Bottom-hole Pressure: What are the Characteristics of Internal Flow Field?
Authors: Xu Jie , Zou Yiqi , Chen Xuyue , Hong Yuqun , Yang Jin , Xie Tao , Sun Lianpo 
Published: April 2021

Abstract
Jet Mill Bit (JMB) is used to reduce the cuttings bed in horizontal drilling. In this paper, the internal flow field is simulated by computational fluid dynamics (CFD) modelling to analysing the pressure field, velocity field and turbulent energy field. At the same time, the DPM model is also used to simulate the particle field. The results show that the cuttings have good acceleration and pulverization performance in the accelerating tube. The drilling fluid generates high-speed injection when passing through the reverse nozzle outlet resulting in negative pressure in the acceleration tube, which generates suction force at the bottom of the well and accelerates the return of the cuttings and the maximum pressure drop is close to 0.5Mpa. The work done in this paper is instructive for the optimization design of Jet Mill Bit and it is expected to promote its field application.
Research on Economic Evaluation Model and Application of Deep Reservoir Based on Break-even Method
Authors: Peng Mengyun , Chen Cheng , Qin Jichao , Zhang Hui 
Published: April 2021

Abstract
In order to strengthen the economic level of deep reservoir development, this article takes the oil reservoirs in the Zhungeer Basin, Xinjiang as an example, and uses the break-even method to evaluate and analyze the economic benefits of regional reservoir development. Based on the characteristics of the economic structure of reservoir development, a deep reservoir economic evaluation model was constructed and applied to the evaluation of the economic benefits of the reservoirs in the northwestern margin, the southern margin, and the eastern Zhunge. The application results show that the overall economic benefits of the northwestern margin are the highest, and the economic benefits of category A in the south margin are the highest. In order to further improve the economic development level of deep reservoirs, it is recommended to focus on the geology of reservoir distribution in Class I economic reliability areas.
Community structure of nekton in the waters around Dongtou Island in Autumn of 2019
Authors: Zhang Dongrong , Xu Hengtao , Wang Zhifu , Fen Weihua , Zhang Haifeng 
Published: April 2021

Abstract
Resource distribution characteristics of nekton in estuarine waters are related to hydrology, ecological environment changes and anthropogenic factors. A total of 49 species of nekton was found from 10 sites in the estuarine waters around Dongtou Island (DTI), with which the species of fish were in the highest proportion, followed by shrimp and crab. Average nekton biomass and abundance were 522.61 kg/km2 and 28.60×103 ind./km2, significantly higher than that of previous studies. The distribution pattern was highest in the eastern part of DTI, lower in the ORE area, and lowest in the northern part of DTI. The intersection of water currents was an important hydrological factor in forming the high resource density area of nekton. Changes in the number of nekton were driven by the contribution of the two economically valuable dominant species of fish Harpodon nehereus and crab Portunus trituberculatus. The mean value of H’ of nekton abundance was higher than that of nekton biomass. The species diversity of nekton in the sea near DTI was relatively low and community structure was in a relatively unstable state. The impact of human development activities on the nekton resources cannot be ignored, further research is essential.
Research on the Application of Radar Echo Model Based on LSTM in Immediate Weather Forecast
Authors: Xu Wei 
Published: April 2021

Abstract
This research analyzed the issue of radar echo extrapolation based on the Long Short-Term Memory (LSTM), established the echo extrapolation algorithm on the basis of the LSTM model, and explored the practical application of this algorithm in the prediction of rainfall volume and in the comprehensive similarity of cloud images. The practiced extrapolation test showed that the average comprehensive similarity of the radar echo extrapolation algorithm based on the LSTM model in the extrapolation within 15 minutes and 20 minutes was 87% and 80% respectively, and the similarity exceeded 70% in the extrapolation test in a relatively longer term. In the rainfall prediction of the next 20 frames of images, this algorithm got an instant hit rate of 64.1%, a false rate of 20.6%, and a key success index of 43.8%. Compared with the traditional radar echo extrapolation algorithm, this echo extrapolation algorithm based on the LSTM model had an excellent application effect in the aspect of weather forecast. The contents of this research can provide scientific and effective reference materials for the subsequent application researches of the technology in weather forecast.
Evaluation of Coral Reefs’ Restoration in the South China Sea
Authors: Shan Zixuan 
Published: April 2021

Abstract
As one of the toughest environmental problems Earth is facing, climate change brings many negative impacts, such as rising sea levels, increasing number of natural disasters, adverse changes in the marine environment, and biodiversity loss. The rising sea-level and marine environment changes pose a massive threat to islands and coral reefs in the South China Sea. This paper reviews the evaluation of coral reefs’ restoration in the South China Sea. The result shows that these methods are practical, and they will benefit the restoration and expansion of coral reefs globally.
Application of high density resistivity method in landslide detection
Authors: Di Qi , Jian-Jun Niu 
Published: April 2021

Abstract
Landslide geological hazards often occur and are relatively harmful, which seriously threaten the safety of people’s lives and property. Therefore, accurate detection of slope stability is of great interest. Based on the full understanding of the geological conditions of the test area, this paper uses the physical property of the difference in the resistivity of the rock and soil of the landslide mass, and uses the high-density resistivity exploration method to detect the potential sliding surface of the slope in the test area, and finally through inversion. The resistivity profile is calculated, the spatial distribution characteristics of different rock and soil layers in the test site are determined, and the geological interpretation map is formed according to the analysis results, which delineates the potential landslide surface of the slope, and provides an accurate basis for future landslide disaster prevention and control projects.
3D laser scanning and surveying adjustment in traffic infrastructure management
Authors: Guo Runhua , Shi Pengcheng , Liu Siquan , Geng Jingjie 
Published: April 2021

Abstract
In view of difficulties in automatic and refined management of traffic infrastructure, road lamps and signboard in the test road section are taken as examples, an application framework for automatic and refined management of traffic infrastructure is proposed by using 3D laser scanning technology combined with GPS (Global Positioning System) and QGIS (Quantum Geographic Information System). The advantages of 3D lidar sensor, such as high precision, strong anti-interference ability and good real-time performance are fully used. Through data fitting by using total least squares method, digital management of infrastructure is carried out and its precision is high. Combined with GPS and QGIS, the spatial information of infrastructure is developed. In this way, manpower and efficiency of management of infrastructure are saved and improved.
Dilution Diffusion Model Research of Offshore Deep-sea Discharge in Coastal Area
Authors: LiYa Xia , XuBin Wen , YongLiang Dong 
Published: April 2021

Abstract
The sewage diffusion effect under deep water was carried out between different diffuser design parameters based on the hydraulic model test. According to the test of diffuser length, riser spacing, riser number, riser nozzle number, horizontal azimuth angle and jet angle, the specific parameters of diffuser need to be determined comprehensively considering the water surface sewage field, sewage diffusion degree, project cost, etc. We used a coastal marine disposal project in China as an example. The article analyzes the influence of diffuser technology on the dilution and diffusion of sewage under the condition of large water depth, and puts forward the engineering design schemes of different horizontal azimuth angle, different jet angle and different diffuser length.
Thoughts on innovation and development of Geomechanics
Authors: Li Huijun , Song Licai , Zhang Linyan 
Published: April 2021

Abstract
Geomechanics is a discipline invented based on geological backgrounds of China, and has made great contributions to national key demands in both theoretical and practical aspects. However, both theoretical and practical challenges are facing this discipline. In this article, the authors analysed the developing history of Geomechanics, new demands raised by current social and theoretical development, its advantages, and pointed out business layout for developing Geomechanics in fulfilling national demands.
An extraction method of cultivated land in karst area based on Landsat time series
Authors: Wang Limeng , Wang Jiasheng 
Published: April 2021

Abstract
It is of great significance to grasp the distribution of cultivated land in karst area for protecting cultivated land and maintaining regional food security. Based on Landsat 8 OLI remote sensing images, this paper took Fuyuan County of Yunnan Province as an example, used a classification method combining multi-feature construction with random forest to extract the distribution of cultivated land in Fuyuan County in 2019. The experimental results showed that the overall accuracy was 0.93, and the Kappa coefficient was 0.90. This method could reduce the interference of mixed pixels to a certain extent and had a better classification effect. The cultivated land area in Fuyuan County was 1200.42 km2. The cultivated land was distributed in all townships of the whole county, and it was mainly concentrated in the northwest, central and part of the southern regions of Fuyuan County, such as Housuo Town, Zhong’an Town, Dahe Town, Yingshang Town, Zhuyuan Town, and Shibalianshan Town.
Prediction of Riverbed Evolution under Different Operation Modes of Three Gorges Reservoir at A Reach with Beaches in Flood Seasons
Authors: Ge Hua , Wang Min , Deng Chunyan 
Published: April 2021

Abstract
Different reservoir operation modes in flood seasons will have a profound impact on the evolution of the downstream reach of the dam. In this paper, a sandy reach with beaches in the downstream of the dam is selected. Based on the water and sediment conditions output from the Three Gorges Reservoir under different operation modes in flood seasons, the erosion and deposition trend in the reach is predicted and calculated. The results show that the total inflow of the reach is basically the same during the operation period, but with the decrease of the controlled discharge, the action time of the bank full discharge increases, and the total scouring amount of the reach slightly increases, which is conducive to the development of the channel.