bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerical simulation and parameter sensitivity analysis for the cooling of rolling rubber-film on cooling-drums
Authors: Ma Wenxin , Yu Hongjie , Liu Yunyun , Qian Caifu 
Published: June 2020

Abstract
Cooling of the rolling rubber-film on cooling-drums is a common practice in the final stage to achieve good quality of the rubber-film. In this paper, the stable heat transfer process of the rubber-film on the cooling-drums was simulated with a simplified fluid rubber-film method. The temperature at the film on each cooling-drum is obtained and compared with experimental measurements. It is found that the simulation results well agree with the measurements, indicating that the method proposed here is valid. In addition, parameter sensitivity on the cooling efficiency of the system were studied to provide the references for engineering applications.
Lighting cooling device based on thermoacoustic effect
Authors: Liu Chunxu , Xu Qiudi 
Published: June 2020

Abstract
The device is designed based on thermoacoustic effect, Through the sound waves to achieve cooling heat dissipation of lighting equipment. The device is arranged on the main heating part of the lighting equipment. External sound waves enter the device through the resonance absorption module, and be integrated into stable acoustic frequency. Based on the thermoacoustic effect, under the effect of sound waves, the stack near one end of the sound waves form the hot end, from one end of the sound waves form the cold end, heat transfer from the hot end of the cold end to constantly. In this process, the lighting equipment heating part of the heat through the device, so as to achieve the purpose of heat dissipation.
Structural design and application analysis of Laval nozzle
Authors: Zhao Lida , Wang Xiang , Xu Jingfeng 
Published: June 2020

Abstract
The purpose of this project is to apply the principle of Laval nozzle to reconstruct the gas stove, improve the combustion efficiency of the gas stove, transform its tail gas products, and reduce the tail gas pollution of the gas stove. In this paper, ANSYS software is used to simulate the Laval nozzle of micro modular liquefied gas micro propulsion system, and the relationship between the size factors of the nozzle and the flow effect of liquefied gas is obtained.
A new home energy-saving gas stove based on multi-jet cutting technology
Authors: Pan Fei , Yang Yan , Zhang Jiankang 
Published: June 2020

Abstract
As one of the indispensable living equipment in Chinese family, the energy conversion efficiency of gas stove has been widely concerned. The purpose of this paper is to apply the principle of multi-jet cutting circle and catalytic combustion technology to transform the gas stove, combine with dune-shaped profile combustion technology, improving the combustion efficiency of the gas stove, reducing the proportion of polluted gas in the exhaust gas and the exhaust gas pollution of the gas stove, so as to achieve the purpose of full premix, low emission, high efficiency combustion of the gas stove.
Improvement of Palletizing Robot’s Clamp Device for Cigarette Products
Authors: Dao Ronggui , Lü Xiaobo , Fei Guangxing , Bao Chongbin , Liu Hongjian , Wang Rui , Cao Yujiang 
Published: June 2020

Abstract
In order to reduce the drop number of cigarette packing cases and downtime during the robot palletizing, and improve palletizing efficiency, the key technology of the robot’s clamp device was improved. The improvement techniques included vacuum suction cups specification optimizing, suction cups horizontal and vertical balancing layout, robot running smoothly, increasing the intake pipe, multi-loop vacuum generator. These techniques were applied to KUKA KR150L 150/3 robot, tested on normal and circular cigarette packing cases such as Yuxi (Hard Harmony)brand produced by Yuxi cigarette factory. The results showed that the improvement of robot palletizing cigarette packing cases is stable, and the average drop number is reduced to 13/month from 123/month before improvement, the number of downtime is reduced to 14 times/month from 125 times/month, the equipment efficiency is improved to 9.6/min. The improvement can provide technical support for the stable operation of the robot palletizing cigarette cases.
Annular Pressure-Volume Interaction Analysis for HPHT Well Based on Multi-scale
Authors: Cao Lihu , Dou Yihua , Wang Kelin , Xue Shuai , Geng Hailong 
Published: June 2020

Abstract
Annulus pressure build-up is a potentially serious issue with high-pressure and high-temperature wells created by annuli which maybe heated up during production. Considering the mass conservation, energy conservation, and heat stability of fluid, the pressure-volume interaction models of multi-scale annulus are established based on PVT and the matrix of micro-annular temperature fields. Results indicate that the pressure-volume interaction moves the balance point of adjacent annulus early, which is a potentially serious issue for well integrity. The relationship between annulus temperature and pressure is linear. Moreover, at the same production, annulus pressure rapidly rises as the temperature increases, and the change rate of temperature increases at a negative exponential function. After the same production time, the relationship among temperature, pressure, and production is a quadratic function.
Coordinated control strategy and protection system of gas-steam combined cycle units
Authors: Liu Junfeng , Ma Xiaolong , Zhang Ruixiang , Gao Yufeng 
Published: June 2020

Abstract
Introduced tianjin Chen tang zhuang coal to natural gas power plant relocation project issue 2 sets of 900 mw level “two tow one” gas-steam combined cycle unit coordinated control system, in view of the different operation way, used the load distribution is different, and introduce the PID algorithm for load distribution is modified, realize the coordination of total load control unit. Under the way of automatic generation control (AGC), with 30 mw/min rate of rise and fall of the load to load disturbance test results show that the unit operation stability, good load capacity and load in the process of adjusting the maximum dynamic load deviation < 6 mw, and the average static load deviation < 4 mw. It also introduced the unit under the different operation modes, gas turbine, waste heat boiler, steam turbine and generator consideration when the tripping happens in the four major equipment failure, the mutual interlocking protection function.
Effect of freezing and thawing on nutrient content of soft rock
Authors: Shi Lei 
Published: June 2020

Abstract
There are few studies on the effects of freeze-thaw on soil nutrients and soil enzymes, which are directly related to soil fertility and soil biological activity. In the past, the research mainly focused on the nitrogen and phosphorus cycle in the growing period of soil, but more and more studies have found that the non growing season in winter and the change of snow cover thickness caused by global warming affect the nitrogen and phosphorus cycle in the soil The influence of environment on the interannual scale can not be ignored. After the freeze-thaw cycle, the total nitrogen content of the soil did not change significantly, compared with that before the freeze-thaw cycle, the available potassium content of the arsenic sandstone increased, but not significantly; the available phosphorus content of the soil in the freeze-thaw cycle decreased.
Survey on Advanced Equipment Fault Diagnosis and Warning Based on Big Data Technique
Authors: Wang Miao , Zhang Zhenming , Li Kai , Si Can , Li Long 
Published: June 2020

Abstract
Faults are main problem of Mechanical equipment. In general, in order to acquire the massive fault information of equipment, a large number of monitoring points need to be established on the equipment, and the number of sensors for the equipment is large, since equipment fault diagnosis enter the era of big data. The successful application of big data technology in track circuit and power equipment system indicates that the big data of equipment contains important information that reveals the evolution and nature of faults. This paper briefly introduces the development of fault diagnosis technology from three aspects: data acquisition, intelligent fault diagnosis approach and remote fault diagnosis. In addition, This paper expounds the development history of fault diagnosis technology, analyzes the challenges of intelligent fault diagnosis in the era of big data, and discusses the development trend of equipment fault diagnosis according to the existing foundation and challenges. Finally, the development trend of equipment fault diagnosis and early warning are pointed based on existing research.
Research Hotspots and Trends of Natural Gas Vehicles: A Visual Analysis Using CiteSpace
Authors: Luo Na , Li Meihui , Dai Jingqi 
Published: June 2020

Abstract
Driven by the optimization of energy structure, environmental pollution control and climate change constraints, natural gas vehicles have high development potential. As a vehicle fuel, natural gas has many advantages, such as abundant reserves, excellent fuel economy and relatively less pollutants, which makes the development of natural gas vehicles more rapid. This paper uses the data analysis system (DAS) composed of Web of Science (WOS) and CiteSpace to sort out the related literature of natural gas vehicles. Through the visual analysis of 529 documents, the research hotspots and trends of natural gas vehicles from 1990 to now are found. Three important clusters are discussed in this paper, among which the future development direction of natural gas vehicles is hybrid gas-electric vehicles, in order to provide reference for the R&D and production activities of natural gas vehicles.
Economic Research and Exploration of Comprehensive Utilization of Energy Based on Advanced System Theory and Technology
Authors: Zhao Zhongling , Wang Xiao 
Published: June 2020

Abstract
Electricity is the prerequisite and important guarantee for the progress and development of human society. It has an important position and role in the national energy strategy. Increasing the share of renewable energy generation in electricity production has a broad and far-reaching impact on the sustainable development of China’s economy and society. Influences. However, due to the intermittent and instability of renewable energy itself, in order to avoid large-scale renewable energy generation from impacting the power grid, the scale of renewable energy generation and grid-connected power are limited to a certain extent. Advanced Adiabatic Compressed Air Energy Storage (AA-CAES) technology uses a heat storage device (TES) to store compressed heat, eliminating the dependence on fossil fuels and achieving “zero emissions.” At present, AA-CAES technology is considered as an energy storage technology with great market development potential. The paper calculates the performance of the system given the input of the air compressor and the output power of the turbine; analyses the parameters such as the storage pressure ratio, convective heat transfer coefficient, and energy release interval time for energy storage density, cycle efficiency and other systems The influence of performance parameters; reveals the temperature and pressure changes of the gas storage chamber with time during a single cycle.
Algorithm Optimization for Cold Start of Collaborative Filtering System
Authors: Wang Shuo , Yang Jing , Zhao Qingchao 
Published: June 2020

Abstract
With the development of network technology, the amount of information on the network has grown and expanded rapidly with an exponential law, and its information organization is heterogeneous, diverse, and distributed. With the vigorous development of Internet information services, the scale of its information resources has also exploded. For ordinary users, the problems of “information trek” and “information overload” on the Internet are becoming increasingly serious. In order to solve the problem of information overload, recommendation system has become an indispensable tool for today’s e-commerce platform, which can help users find valuable information quickly. Collaborative filtering-based recommendation algorithms have been widely applied and studied in recommendation systems. Although the collaborative filtering algorithm has been widely used, there are still problems such as data sparsity, scalability, and cold start, which seriously limit the quality of recommendations. Therefore, collaborative filtering algorithms face many challenges. Especially recommendation systems using collaborative filtering technology. This article discusses the cold start system, the cold start user, and the cold start scenario. Effective use of project content information and user personal information is one of the effective methods to solve the cold start problem, that is, a hybrid recommendation technology combining information filtering and collaborative filtering. This paper proposes a hybrid recommendation technology that can better solve the cold start problem.
Empirical Analysis of Chinese Natural Gas Importing Power Effect
Authors: Li Lingzhi , Zhao Liyun 
Published: June 2020

Abstract
Through the monthly data from 2016 to 2018, this paper studies the Chinese import volume of natural gas and international gas prices, and finds that the change of Chinese natural gas import volume has a great impact on the change of international gas price, and the increase of Chinese natural gas import will promote the growth of international gas price, there is a negative import “big country effect”.
Natural Gas Power Generation Trends from a Technological Paradigm Perspective
Authors: Luo Na , Li Meihui , Yu Xueying 
Published: June 2020

Abstract
Natural gas power generation is a clean, environmentally friendly use of fossil fuel. However, natural gas development has strong competition from renewable energy and at the same time, the environmental impact of methane leakages during natural gas exploitation and transportation has raised concerns as to its overall safety. Through the research of literature, this paper finds that NGPG has experienced three stages: natural gas direct combustion, combined cycle generation, and distributed generation, that is, natural gas power generation technology paradigm. At the same time, hybrid power generation is due for a paradigm shift which will ensure that natural gas development is more competitive in the future; however, for this to happen, adequate policy support is required.
Research on Gymnasium Construction Based on Green Environmental Protection Comprehensive Energy Saving Technology
Authors: Zhang Wei 
Published: June 2020

Abstract
In the process of rapid global economic development, people’s living standards have improved. People pay more attention to the quality of life and the role of sports activities. Therefore, the construction of urban gymnasiums will be one of the important construction activities of the city. The construction of the gymnasium can improve the functions of the city to a certain extent. It is a comprehensive systematic project. The construction of the urban gymnasium must be coordinated with the urban gymnasium construction plan, and the resources in the city must be used reasonably. The energy-saving green stadium environmentally friendly building materials were used for the project construction, and very good energy conservation and environmental protection effects were achieved, which meets the needs of society and urban development. This article mainly discusses the gymnasium construction planning of the city gymnasium, and analyzes the energy-saving design, which is of great significance to the overall gymnasium construction planning of the city.
Research on Electric Vehicle Cooling System Based on Active and Passive Liquid Cooling
Authors: Piao Changhao , Chen Tao , Zhou Anjian , Wang Pingzhong , Chen Junsheng 
Published: June 2020

Abstract
Compared with internal combustion engine automobile, the battery capacity and motor conversion efficiency for electric vehicles (EV) are limited, which means it requires lower energy consumption. To this aim, EV needs more complex thermal management system and higher thermal management requirements. This paper proposes an active and passive liquid cooling-based system cooling scheme. Coolant circulation’s components model and refrigerant circulation’s components model are built. The performance parameters for the components are obtained by fitting the experimental data. To demonstrate the performance of the proposed method, simulation experiments are conducted. The results show that it is feasible and robust to cool and heat the battery using passive cooling circuits in low and medium temperature environments. During critical conditions where the ambient temperature changes from 28 ° C to 32 ° C, the active and passive liquid cooling-based scheme can not only guarantee the battery operating temperature, but also save energy.
Short-term load forecasting model based on multi-model integration
Authors: Wang Hongwei , Huang Yuansheng , Shi Mengshu , Liu Shijian 
Published: June 2020

Abstract
Artificial intelligence and machine learning methods have gradually matured and have been widely used in short-term power load forecasting. In order to make better use of the advantages of different artificial intelligence prediction models and traditional prediction models and improve prediction accuracy, this paper proposes a short-term load prediction model based on multi-model stacking. Different from the combined prediction method, the model first uses three machine learning models, support vector machine (SVM), back propagation neural network (BPNN), and extreme learning machine (ELM) as the base learners, and uses different training data sets. Training is performed on the model, and then the prediction results of the three basic learners are used as the input of Gaussian Process Regression (GPR), and multiple models are integrated to obtain the final prediction result. In order to verify the effectiveness of the Stacking prediction model, this paper applies the short-term load data of the PJM market to this model. Compared with the three base learners, the prediction results show that the model can make full use of the advantages of different prediction models and effectively reduce Forecasting errors have practical significance for solving short-term load forecasting problems.
Application of computer-based queuing theory in public hospital management
Authors: Zhang Liyue 
Published: June 2020

Abstract
With the development of society, People’s medical demand increases gradually, improve the quality of hospital services without delay. This paper studies the application of queuing theory model to measure the service efficiency of public hospitals, in order to provide the corresponding theoretical basis for optimizing the service efficiency of hospitals. By using queuing theory model research method, the service efficiency of different departments was analyzed and summarized, and the reasonable plan for different departments’ location and medical resources was put forward. The results of the experiment show that departments with more patients can appropriately increase the number of medical staff, improve medical equipment and place it far from the registration hall; those with fewer patients can appropriately reduce the number of medical staff according to the actual situation Put It away from the registration hall. The queuing theory model can be used to measure the service efficiency of different departments in public hospitals, which can improve the service efficiency and patient satisfaction.
Research and Implementation of Real-Time Voice Control System based on Android
Authors: Zhang Qian 
Published: June 2020

Abstract
At present most of the mobile phone users must have to constantly change their mobile phone’s contextual model to adapt to different occasions in every busy life. In order to solve this problem. This paper designed and implemented the real time auto control system of mobile phone’ voice based on Android platform. The paper introduces the sound overall framework of real-time control system around three functional modules: the sound acquisition, getting sound’s loudness and adjusting ring and expounded key technology of the system in the implementation process. The result of experiment shows that the system can change ringtone loudness on the degree of noisy environment in real time and the system run reliably, meanwhile it has certain applicability and practical value.
Exploring the Training Mode of Applied Talents Based on OBE
Authors: Li Bai , Maalla Allam 
Published: June 2020

Abstract
Since the 18th National Congress of the Communist Party of China, education has been established with the fundamental task of establishing a person. It has promoted the transformation of local undergraduate colleges and private colleges to applied universities. Introduce OBE as a theoretical support for the cultivation of talents in applied universities, establish a life-oriented, competency-based education concept, and build a training system for applied talents. In particular, it will connect with professional groups within the social industry and summarize the corresponding professional capabilities. Construct a practical teaching system from the mode of classroom teaching, experimental training, and market environment gradient. Strengthen the integration of production and education, the institutional mechanism of school-enterprise cooperation, and simplify the evaluation of learning outcomes. Develop application talents with the ability to “innovate, creative and entrepreneurial”.
Reliability Assessment of Distribution Network with Distributed Generation based on BP Neural Network
Authors: Fan Guangkuan , Zhang Zhenyu , Tian Hao , Yang Xin , Bai Jianhua , Jia Xuefeng , Wang Yunfei 
Published: June 2020

Abstract
The distributed power supply is developing rapidly to realize the energy conservation and consumption reduction of the whole society. But the development of distributed generation (DG) will affect the reliable operation of distribution network. A novel reliability assessment model for distribution network with DG was integrated. A series of essential criteria can be extracted by Principal Component Analysis (PCA). And their weights can be obtained based on the entropy method. The assessment results can be calculated by applying BP neural network. Example analysis were implemented to prove the validity of the comprehensive reliability assessment model.
Assessment of the potential of photovoltaic power resources on all continents.
Authors: Li Nana , Xie Guohui , Li Qionghui , Zhou Liansheng , Gan Zhiyong 
Published: June 2020

Abstract
Evaluating the development potential of large-scale PV power base is of great value in supporting the construction of Global Energy Interconnection (GEI) and meeting global electricity needs by supplying clean energy. This paper analysed the characteristics of global solar resources and summarized the current status of global key large-scale PV power base. The analysis model of development potential, annual theory generation and full load hours was established based on the facts of capacity per square meter, global horizontal irradiation and geographical conditions. The development potential of large-scale PV power base of all continents was studied by applying the evaluating system of global PV power base. The results showed that the solar power development bases in Asia are mainly concentrated in western China, Israel, Jordan, Saudi Arabia, and the United Arab Emirates in the Middle East.