bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Research of Gait Recognition Based on Deep Learning: A Case Study of the Missing Elderly
Authors: Liu Mingyang 
Published: December 2019

Abstract
In our daily life, we often see some notices for the missing elderly. As we all know, the elderly people with Alzheimer’s disease or memory impairment are more likely and more often to get lost. Therefore, I hope that I can make some contribution to help solve this problem. For this reason, the author a detection and tracking system with interactive interface was designed by the author based on gait recognition for the elder people who are under the risk of getting lost. The walking characteristics of the elderly can be extracted from the gait image data of the elderly provided by their families. Combined with the video streaming information documented by the cameras of the public security organ, the detection and tracking system can identify the missing elderly at a long distance, in this way, it provides clues for searching the missing elderly. In this paper, all experiments were under the Windows 7 operating system. Python was used to invocate yolov3 model for character detection. The foreground images were obtained by applying background subtraction in the static background, and then gray processing, Gauss blurring, binarization and other image operations were done to extract the image features and obtain the GEI gait energy map with the help of gait feature extraction technology. The image data were stored in the database, and then pedestrian identity detection was carried out through an input video or by real-time cameras. In order to test conveniently, an interactive interface based on PyQt4 is designed, which can realize functions such as register pedestrian names on site, acquire pedestrian gait energy map and establish database, refresh background, detect and recognize pedestrians. Moreover, it supports arbitrary switching between real-time camera detection and input video detection.
A Novel Crop Weed Recognition Method Based on Transfer Learning from VGG16 Implemented by Keras
Authors: Jiang Zichao 
Published: December 2019

Abstract
This study used a method based on convolutional neural network model, VGG16, to identify images of weeds in the field. As the basic network, VGG16 has very good classification performance, and the network structure is unconventional. It is relatively easy to modify. It can fine-tune other data sets on this basis. Therefore, the transfer learning method is applied to our own Kaggle competition website. Download the weed data set. The site covers approximately 3, 500 images in 12 categories. Due to limited data and computational power, our model fixes the first 14 layers of VGG16 parameters for layer-by-layer automatic extraction of features, adding an average pooling layer, convolution layer, Dropout layer, fully connected layer, and softmax for classifiers. The layer has a total of 5 layers, for a total of 19 layers. The experimental results show that the final model performs well in the classification effect of 12 weed images. The accuracy rate on the training set is 98.99%, and the accuracy on the verification set is 91.08%. It can be applied to crop weed identification. It provides accurate and reliable judgment basis for positioning and quantitative chemical pesticide spraying, and is the key to achieving refined agriculture.
Research on Energy Management Strategy of Diesel Hybrid Electric Vehicle Based on Decision Tree CART Algorithm
Authors: Ye Fang , Zhai Xicheng 
Published: December 2019

Abstract
Aiming at the emission of nitrogen oxides from hybrid electric vehicles (HEV), a strategy of diesel hybrid energy management based on decision tree CART algorithm was proposed.Firstly, a classification algorithm combining decision tree and regression tree is proposed to predict the trend change relationship of a case from one or more predictive variables according to the category and variable characteristics.Secondly, by controlling the torque distribution between the engine and the motor, an additional degree of freedom is introduced to adjust the trade-off between pure fuel economy and pure restriction.Finally, the simulation method is used to understand the system performance and adjust the proposed energy management strategy.The results show that in the proposed energy management strategy for diesel hybrid power, the reduction of NOx
has an impact on fuel consumption, and the potential of NOx
emission can be limited by choosing the best operating point and limiting engine power.
A Well-balanced Positivity Preserving Central-upwind Scheme for Shallow Water Flows over Uneven Topography
Authors: Wu Fanjie , Wu Gangfeng , Zhang Kefeng 
Published: December 2019

Abstract
In this study, a well-balanced positivity preserving numerical model based on shallow water equation is developed to simulate flood propagation over uneven topography. The central-upwind scheme is adopted to calculate the flux at the interface of computational mesh. The bed slope source term is discretized using a central difference method to ensure the well-balanced property of the model. The model is able to preserve the positivity of water depth if the Courant number is kept less than 0.5. The proposed model is verified against a benchmark test and then applied to simulate a dam break experiment carried out in CADAM project. The numerical results are in good agreement with observations, which show that the model is capable of predicting the flood propagation over complex topography with a good accuracy.
Advances in Clinical Research on Prevention and Treatment of Diabetic Nephropathy by Jingfang of Promoting Blood Circulation and Removing Blood Stasis
Authors: Li Xiaobing , Liu Wen , Wang Xiao , Huang Mingming , Shi Qing , Wang Tian , Xue Qian , Cao Yuanyuan , Zhang Danhua , Yin Donghao , Yang Mengjie , Duan Junchao , Li Bingqian , Yao Manman , Li Xiaoxue 
Published: December 2019

Abstract
Promoting Blood Circulation and Removing Blood Stasis is key to prevent and treat diabetic nephropathy (DN). After a long-term practice, some JingFang of promoting blood circulation and removing blood stasis (PBCRBS) have been proved to be effective in clinic, which reviewed in this article can regulate the disorder of glucose and lipid metabolism, inhibiting the inflammation as well as oxidative stress of diabetic nephropathy, accordingly reducing renal fibrosis and delaying the degree of DN lesions. The author reviews the research progress of preventing and treating DN by JingFang of PBCRBS in the clinic.
Deterministic Analysis and Research on Reasonable Purchase Price Range Based on Multi - Objective Fuzzy Optimization Model
Authors: Cao Jiaqi 
Published: December 2019

Abstract
Reasonable purchase price has multiple objectives, it is necessary to take into account the increase in food and industry income, but also take into account the development of the entire grain industry, and even to consider improving production efficiency. This paper chooses the minimum purchase price of wheat, the market purchase price, the output and the grain income and the production efficiency as variables, and takes the lower limit of the grain and farmers’ income, the upper limit of the market price and the minimum purchase price, the supply and demand relationship, the inventory restriction, the financial support ability And the scope of international food price as constraints, establishing multi-objective fuzzy optimization model to explore the government’s optimal minimum purchase price decision-making mechanism. Through analysis, it was found that the minimum purchase price developed by the state did not increase the area of grain cultivation, but it effectively inhibited the reduction of grain planting area. Finally, we use this model to predict the minimum purchase price for food for 2017, with a reasonable range of: (115.52, 121.54).
Main Parameters Prediction of the Hot Water Boiler Based on the LSTM Neural Networks
Authors: Liu Sijie , Guo Chengke , Mei Ning 
Published: December 2019

Abstract
This paper presents a data-driven method for the main parameter’s prediction of a hot water boiler. Principal component analysis is used to compress the input dimensions of the model and reserves the main information of the monitored parameters. The validity of the model is demonstrated by a case study of a coal water slurry circulating fluidized bed hot water oiler belong to a heating company. The historical data of the boiler is employed to establish a deep long short memory cell neural network as the prediction. The prediction results of the main parameters could fulfil the demand of the actual engineering.
Key Technology Research of Electric Cars Smart Dynamic Interactive Terminal Charging Path Planning
Authors: Suo Li , Sun Jian 
Published: December 2019

Abstract
In the future a large-scale of electric vehicles will have mutual interact and influence with cities’ intelligent transportation network and intelligent grid network. In recent years, with the popularity of the third-generation mobile communication technology, the use of the Internet for dynamic traffic information and navigation is competent for the traffic information transmission requirements, which can effectively reduce hardware requirements, expand the popularity of dynamic vehicle navigation technology. In this context, this paper proposes a “center” type of electric car charging dynamic route planning service system architecture, and the architecture of the server-side data management technology and services were studied, through GIS technology, the optimal allocation of each electric vehicle charging stations ultimately comes true, which ensures the coordination and harmonization of electric vehicles, charging stations and users, saves the time for travel and charging, and improves operating efficiency.
Analysis on Zero Inventory Management of New Energy Enterprises
Authors: Qi Liu 
Published: December 2019

Abstract
The improvement of cost management and control of new energy enterprises is of great significance for realizing the harmonious coexistence between man and nature.The improvement of enterprise value is benefited from making full use of each cost input to obtain profits. Therefore, it is very important to find out the shortcomings in cost control and optimize it in time.“Zero inventory” is a cost-saving management model that many new energy companies have already implemented, or are exploring.The basic idea of “zero inventory” management is that the enterprise tends to zero the inventory of raw materials, products and finished products in the procurement, production and operation, to avoid the opportunity cost of inventory occupation, and to prevent inventory from being outdated as we ll as risks such as falling prices and damage.This paper takes the necessity of implementing zero inventory management in new energy enterprises as the starting point, analyzes the problems existing in the cost control of new energy enterprises, and puts forward some suggestions for improvement.
Research on Energy Accounting under Energy Conservation and Emission Reduction Policies
Authors: Su Rui 
Published: December 2019

Abstract
In recent years, the rapid growth of the national economy come at the expense of the environmental problems and the resource crisis. Conserving energy and reducing emissions has received more and more attention to help economy achieve sustainable development. More and more countries and companies has been beginning to realize the importance of energy accounting. The paper begins by stating the definition of energy accounting. The accounting content of energy accounting are then listed and discussed, and energy accounting information disclosure is discussed. The necessity of establishing energy accounting under the current situation is analysed. Finally, the paper puts forward the opinions and suggestions for establishing a sound energy accounting system.
Comparison and analysis of the combustion process of three combustion modes of an ethanol - diesel direct injection engine
Authors: Liang Yu , Zhou Liying 
Published: December 2019

AbstractA diesel engine was modified into an ethanol - diesel direct injection engine. Diesel was injected through the engine’s original pump injection system, whereas ethanol was injected through an installed electronic controlled injection system. 100% of ethanol injection at 240°CA (referred to as B100), 50% of ethanol injection at 240°CA and 50% injected subsequently with diesel at 344°CA (referred to as B50L50) and 100% of ethanol injection with diesel at 344°CA (referred to as L100) were the three combustion modes. Based on test data, a 3D combustion chamber model was established for the analysis of the combustion modes. The result showed that B50L50 had the earliest combustion starting point, the highest combustion pressure and maximum average temperature in the cylinder, the largest maximum cumulative heat release and sufficient combustion. In addition, NO generation was the highest but the soot generation during the initial combustion period was not the highest even though it was high. The soot generation of B100 was the highest. For L100, the combustion starting point was the latest, after burning was severe, cylinder pressure and maximum temperature were lower, NO and soot generation were the lowest, but CO generation was the highest, comparatively.
The research on power dispatching to improve clean energy utilization
Authors: Zhang Jianzhong , Liu Jingwen , Shao Xiang , Du Xianwei 
Published: December 2019

Abstract
This study aims to improve the clean energy utilization in the system of multi-source joint power dispatching and control. This paper constructs a joint optimization dispatching model of complementary power generation. Taking the minimum power generation cost as the objective function and adding clean energy penalty items to the objective function so as to achieve the goal of improving clean energy utilization. At the same time, based on the basic cuckoo algorithm, an improved cuckoo algorithm with chaotic perturbation is proposed to solve this model. Finally, the dispatching model is validated by multi-source joint dispatching system. Dispatching test results show that the method proposed in this paper provides better overall performance than traditional joint dispatching method.
Research on grid supervision index system based on AHP and Multi-level Matter-element Analysis Model in China
Authors: Huang Yi , Li Hui , Wang Zhidong , Yu Xiaopeng , Wang ShiYue 
Published: December 2019

Abstract
In the context of the new situation of electricity reform, the Chinese government has strengthened the supervision of power grid enterprises. By sorting out the power grid supervision documents issued by the government in recent years, it classifies and analyzes its specific requirements for power grid enterprises; classifies and summarizes government regulatory requirements; designs a regulatory model to build a hierarchical model. Using the combination of statistical principle and Delphi method, the index weight of the index system is designed based on AHP; the multi-level matter-element analysis model is used to evaluate the implementation of policies in recent years.
Application Research of Artificial Intelligence Technology in Power System Alarm Processing Method
Authors: Pan Fangfang , He Yongfu 
Published: December 2019

Abstract
The paper first introduces the principles of artificial intelligence and expert systems, and makes a detailed analysis of the application of expert systems in power systems. Secondly, the paper uses VC++ language to establish an expert system for judging power system fault areas and fault types. The system can identify power system bus faults, line faults, circuit breakers and relay malfunctions and refusal faults. Finally, the system simulation test shows that the fault diagnosis expert system established in this paper has certain theoretical and practical significance.
Analysis on the change of power structure and new energy absorption capacity of Shandong power grid
Authors: Chen Yisen , Chen Yang , Che Yongqiang , Zheng Wei 
Published: December 2019

Abstract
According to the current situation and future development trend of power structure of Shandong power grid, this paper analyzes the problems brought by the large-scale access of new energy and the effective measures taken by Shandong power grid under the new situation, and puts the supporting measures of fully absorbing new energy power generation into practice.
Research on Peer-to-Peer Control Strategy for Microgrid Distributed Generation
Authors: Ruan Haojie , Qian Cheng , Wang Changjiang , Lin Yichi , Zhang Xiaobo 
Published: December 2019

Abstract
In between a plurality of microgrid in complex coordination control problems, this paper proposed a droop control strategy for microgrid distributed generation, which can realize micro grid by cutting load, micro grid operation mode switch to smooth the distributed power supply voltage and frequency control. This method bases on droop control principle, research on the effects of P-f and Q-U droop characteristics, design of the droop controller output filter, power controller, voltage current double loop controller based on the established simulation model of the droop controller and the equivalent control strategy of micro grid simulation model. The results of simulation by Matlab/Simulink, analysis of the variation of the micro grid distributed power switch in islanded and grid connected operation mode and the frequency voltage and power, to verify the correctness and feasibility of droop control strategy.
Research on Synchronous Network Platform of Rail Transit Signal System Based on Beidou Satellite Navigation
Authors: Yu Xiping 
Published: December 2019

Abstract
The signal system is an important part of the modern high-volume, high-density rail transit automatic control system, ensuring the safety of trains and passengers, and plays an important role in the high-speed and orderly operation of trains. The paper introduces the latest development and latest requirements of the synchronous network technology of the rail transit communication system; proposes the construction strategy of the urban rail transit network level synchronization network based on the Beidou satellite navigation system; improves the localization rate of the system and realizes the line network level.
A Cloud-computing and big data based wide area monitoring of power grids strategy
Authors: Liu Yingshang , Liang Shouyu , He Chaolin , Zhou Zhifeng , Fang Wenchong , Li Yingchen , Wang Yichang 
Published: December 2019

Abstract
This paper first analyzes the process and characteristics of big data and cloud computing. A cloud-based architecture for cloud-based power grid wide-area monitoring is proposed. This architecture uses parallel computing and big data mining to provide relevant auxiliary decision-making for the grid. The cloud computing architecture of this paper is based on Hadoop and a brief description of the Hadoop architecture is demonstrated. Finally, two scenarios of grid visualization and grid scheduling decision are briefly described.
Intelligent RGV Dynamic Scheduling Optimization Model under Possible Failure
Authors: Wang Hong , Luo Dan , Tao Yuhe , Feng Tuo , Xiong Yuhao 
Published: December 2019

Abstract
This paper analyses the dynamic RGV dynamic scheduling under the condition of possible failure. Firstly, by introducing 0-1 decision variables, the RGV position matrix and the RGV-CNC moving time distance matrix are constructed to meet the requirements of each link in the scheduling process. The time is the constraint condition, and the maximum number of processed materials and the shortest idle time of the machine tool are the objective function. The dual-objective programming model of RGV dynamic scheduling is established, and the double-objective programming problem is transformed into the single-objective programming problem by linear weighted method. For the possible fault conditions during the processing, the Poisson distribution is used to randomly generate the serial number of the CNC fault and the time of the uniform distribution to simulate the fault elimination. Then the improved genetic algorithm of the model is given, and finally the national mathematics model of 2018 is adopted. The contest B is an example and the example are verified. The test results are good.
Research and Application of Inspecting Mode of Converter Station Equipment in the Background of Smart Grid
Authors: Wan Di , Zhang Ming , Duan Shiqi , Bao Jiwei , Wu haojing 
Published: December 2019

Abstract
The inspection of equipment at the converter station is a basic work to discover equipment defects in time, ensure the safe and stable operation of the equipment in the converter station, and improve the reliability of the operation of the inter-area power grid. It mainly relies on the operation and maintenance personnel to perform periodic and regular periodic inspections. In order to ensure the safety and stability of the operation of the converter station equipment, ensure the patrol personnel arrival rate, realize the goal of scientific, standardized and intelligent inspection. On the basis of manual inspection, the advanced robot patrol system is used to design the intelligence of the converter station. The system was patrolled and the modules of the system’s back-end management system were analyzed. The system’s patrol management, defect management, equipment management, query analysis and system management functions are introduced in detail and applied to the actual patrol management work. The inspection method is compared with the traditional inspection method, and good practice results are obtained.
Research and Analysis of Power Outage Dispatch Control System Based on Customer Zero-Blackout Awareness
Authors: Guang Ouyang 
Published: December 2019

Abstract
The paper deeply analyzes the sensitivity of customer blackout perception andthe user perception model. The K-Means clustering algorithm is used for clustering. By analyzing and summarizing the user’s perception of the blackout event, the user is divided into perceptions. By constructing the user perception model, the user perception classification of fault events is realized for the first time, and the decision basis for personalized active services is provided. The user perception model is of great significance to the customer service business application. Based on the perception segmentation result, the user can be provided with personalized and active services. Finally, the paper proposes to establish a power outage management system with no power outage, aiming to improve the service quality of current power customers.
Cross-cultural Management of Chinese Enterprises: A Review of the Literature
Authors: Chen Yu , Wang Fang 
Published: December 2019

Abstract
Culture has a profound impact on multinational enterprises. Especially under the strategy of “one belt and one road”, the Chinese enterprises’ “going out” step is accelerating, and the business management problems caused by different regional cultural conflicts have become a pressing problem at present. This paper reviews the literature of cross-cultural management in Chinese enterprises, mainly analyses the connotation of cross-cultural management, discusses the differences between eastern and western enterprise management cultures and the status quo of cross-cultural management in Chinese enterprises, and gives the mode and strategy of cross-cultural management in Chinese enterprises. For our multinational enterprises, we should establish the concept of cross-cultural management, attach importance to the coexistence and development of multiculturalism, and use cross-cultural management methods to prevent and solve the crisis caused by cultural conflicts.