bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pre-service Physics Teachers Perception about Concept Map, Mind map, and Link Map for Innovative Learning
Authors: Lestari Nurita Apridiana , Jatmiko Budi , Dwikoranto  , Prahani Binar Kurnia , Deta Utama Alan , Bachtiar Rayendra Wahyu 
Published: December 2019

Abstract
This study aims to describe students’ perceptions of the characteristics of assisted learning mapping methods such as concept maps (CM), mind maps (MM), and link maps (LM). The study was conducted with qualitative and quantitative data collection with a sample of 10 students as pre-service physics teachers. Quantitative data becomes a supporting part of the qualitative description. Each student was asked to make a concept map, mind map, and link maps with physics material. Furthermore, students’ performance is analyzed in the description form of the differences and effectiveness of the mapping when applied in physics learning. These results indicated that mapping has a positive effect on the development of students’ thinking abilities, especially in identifying the right concepts for physics material.
Research on gamma spectrum semi-quantitative analysis based on convolutional neural network
Authors: Li Fei , Wang Jing , Ge Liangquan , Hu Fangyan , Cheng Feng , Sun Kun 
Published: December 2019

Abstract
In the field of practical application of nuclear technology, one of the vital steps is the interpretation of gamma energy spectrum, which can obtain the type and content of radionuclides and achieve further analyzation. Convolutional neural network is one the most basic and effective algorithm structures in deep learning because it has local receptive field, weight sharing and down sampling structure, it solves the problem of parameter expansion caused by full connection and reduces the number of weights. That can be used to study the resolution of gamma-ray spectra of convolutional neural networks. This paper introduces the spectral forming principle of gamma spectra and the convolutional neural network, and USES the convolutional neural network to study the spectral decomposition of gamma spectra. In this paper, a multi-layer convolution neural network model is built based on C# software. The convolution neural network is applied to gamma-ray spectrum decomposition, and the U, Th, K nuclides are identified and semi-quantitatively calculated. By identifying and analysing different energy spectrum data, it is shown that the modified model structure can be applied to the spectral decomposition of gamma spectrum.
Study on identification and classification of hidden dangers in highway toll stations based on accident causation theory
Authors: Jing Qiangqiang , Bi Yufeng , Liu Niantao , Zhang Qiangmin , Chen Renshan 
Published: December 2019

Abstract
Aiming at high safety risk of expressway toll station, based on the theoretical model of accident cause, this paper makes a systematic analysis and correlation test on the unsafe state of object, personal unsafe behaviour, and the imperfection of safety management system within the jurisdiction of expressway toll stations. Through statistical analysis, the types and distribution areas of unsafe physical state, the types and main causes of unsafe behaviours within the jurisdiction of toll stations are identified. The results show that: education and training, risk management and control, hidden dangers, operating procedures, equipments and facilities management, emergency management, etc., have a great impact on the physical safety of highway toll stations; bad driving habits, trouble free mentality, poor safety awareness, lack of safety knowledge are the main reasons for unsafe behaviours. The results of the study have guiding significance for the risk management of toll station.
The application and evaluation of “Production-oriented Approach” in College English Teaching
Authors: Zeng Ruiyun , Li Qianmei 
Published: December 2019

Abstract
This paper introduces a semester-long of experiment process with the production-oriented approach (POA) to test the effectiveness of POA in an ordinary university in China. The findings are as follows. First, POA has obvious effects on improving the overall English level of students. Second, with POA, there is an obvious increase in students’ reading ability, a slight increase in their listening ability, and a slight decrease in their vocabulary ability. This paper analyzes the research results and puts forward corresponding solutions to the problems existing in the implementation process of POA in ordinary colleges and universities.
Decomposition and reconstruction of ore-caused anomalies information by airborne gamma-ray spectrum based on fractal singular value decomposition method
Authors: Sun Kun , Ge Liangquan , Li Fei , Zhang Qingxian , Gu Yi , Lai Wanchang 
Published: December 2019

Abstract
Identification method research on ore-caused anomalies information is one of the core technologies of airborne gamma-ray spectrum data post-processing. This paper proposed a decomposition and reconstruction method of anomaly information called fractal singular value decomposition (FSVD), aiming at the current ubiquitous truncation error and boundary effect problems in filter design in ore-caused anomaly information identification methods in airborne gamma-ray spectrum. Based on the multi-fractal theory, this method decomposes the singular value of the specific nucleus activity data of the airborne gamma-ray spectrum under time series, and quantitatively calculates the fractal singular value truncation parameter according to residual square sum minimum principle. According to the calculation result, the original data is partially reconstructed to rebuild the ore-caused anomalies information. This paper used the 1:50000 airborne gamma-ray spectrum trial production flight data of a certain area in Inner Mongolia (the surveying area contains proved metal ore occurrences) to verify the method. The results show that: after the original signals are decomposed by FSVD, the high, medium and low singular values can represent the background, anomaly, and noise signal, respectively. At the same time, the false anomaly signals caused by flight error exist in high singular values. After reconstructing the decomposed signals according to median singular values, background noises can be effectively separated, the ore-caused anomaly in the known ore-caused anomalies can be identified and band-like false anomalies caused by time domain batches can be removed.
Research on knowledge mapping construction of big data
Authors: Jiang Xiulian , Ju Peng , Song Yining , Mao Lingcheng , Xie Guifang 
Published: December 2019

Abstract
The diversified development of network applications and the informatization of social life are triggering explosive growth of data. The core journal articles based on big data research in the 2011-2018 database, which are included in the CNKI database, are used as research objects, and CiteSpace, Netdraw, and Ucinet are used as tools for visualizing knowledge maps. Visualize the growth trend of big data literature, authors and institutional cooperation networks; use co-occurrence analysis and cluster analysis to mine research hotspots of big data; use mutation word detection and time zone view to study evolution path of big data development. The research hotspots of big data are shown in three directions of big data technology, application field and challenges brought by big data. The evolution path of the field of big data shows that in early stage, technology research related to big data was mainly conducted, and later, it developed into the research trend of technology and application.
Feature extraction of non-linearity and low noise-signal ratio signals and its application to engine fault diagnosis
Authors: Wang Fengli , Cai Yannian 
Published: December 2019

Abstract
Since the vibration signals of engine cylinder head come from different interference sources, it is difficult to detect weak but useful signals in the background of noise. Aiming at nonlinear and low noise characteristics of engine vibration signals, a method based on integrated empirical mode decomposition (EMD) and fractal dimension is proposed. Firstly, the integrated EMD method is used to decompose the nonlinear low noise signal into a set of intrinsic mode functions from high to low. Then the morphological fractal dimension is applied to the intrinsic mode function (IMFs). The fractal dimension of the characteristic IMF is calculated. The vibration signals of a diesel engine exhaust valve under normal and leakage conditions are analysed. The results show that this method can extract fault features of diesel engine exhaust valve.
Research on the competency of teachers of ideological and political theory courses in undergraduate colleges
Authors: Li Guang 
Published: December 2019

Abstract
Teachers of ideological and political theory courses in colleges should have the consciousness of ideological and political education, be able to guide the practice of education and teaching, and cultivate students to adhere to and apply the basic principles of Marxism to solve practical problems. Using literature method, questionnaire method and mathematical statistics method, the article puts forward that the competence of teachers in ideological and political theory courses in colleges and universities in China includes loyalty, political literacy, initiative, self-confidence, training others, learning ability, knowledge and skills. The mathematical statistics method was used to explore and verify it. It was found that the second-order 4-factor first-order 7-factor competency model has a good fitness.
Investigation about the practical teaching effect of financial transformation colleges and the research on the construction of evaluation model
Authors: Zhao Xuehong , Xu Yao 
Published: December 2019

Abstract
Practical teaching is an effective approach to consolidating theoretical knowledge and deepening theoretical cognition, and also the important means to cultivate students to master scientific methods and improve their operational capacity. From the perspective of cultivating students’ occupational capacity, on the basis of reading lots of relevant references, the questionnaire is designed from several aspects, including the teaching methods, teaching mode, course evaluation, the enhancement of occupational capacity and the evaluation on the setting of practical teaching and designed to know about the feelings of students about practical teaching as well as to evaluate on relevant practical teaching conditions. Besides, it has also carried out factor analysis and regression analysis on investigation data respectively, and extracted four factors of occupational adaptability, occupational action capacity, practical teaching design and practical teaching assistance from the enhancement of occupational capacity and the setting of practical teaching. In combination with the questionnaire result and the four extracted factors, corresponding improvement thoughts are put forward based on the objective of building the practical teaching system focused on enhancing occupational capacity, establishing and perfecting practical evaluation system and teaching assurance system.
An empirical study on the relationship between foreign trade of agricultural products and the development of cold chain logistics in Sichuan Province
Authors: Lin Shilei , Wang Chong 
Published: December 2019

AbstractThis paper selects the data of Sichuan Province from 2001 to 2018 as the sample, which is the total trade volume of agricultural products (TA), the cold chain logistics volume of agricultural products (CD), and the cold chain logistics volume of agricultural products (CS). Through the time series of three variables, the stationary, co-integration and vector error correction models are used to study the long-term equilibrium and short-term fluctuations between the agricultural product foreign trade and agricultural product cold chain logistics development level, in order to provide suggestions for the common development of both. The results show that: First, the level of agricultural trade and the level of cold chain logistics of agricultural products continue to increase, but the overall level of the two is still insufficient. Secondly, the time series of the both are smooth sequences through the first-order difference. Through the cointegration test, there is a long-term equilibrium relationship, and the short-term relationship between the two is greater than the long-term relationship. Thirdly, the demand and supply of cold chain logistics of agricultural products is a one-way causal relationship between the trade volume of agricultural products. In the future, we must give full play to the advantages of Sichuan’s characteristic agricultural products and strengthen the construction of logistics facilities and the connection between logistics nodes.
Study on data-driven PEMFC humidity mechanism soft-sensing model
Authors: Tan Baohua , Chen Hongbin , Quan Rui , Quan Shuhai , Zhou Yuanye 
Published: December 2019

Abstract
Proton exchange membrane fuel cell (PEMFC) has a special closed structure, whose humidity cannot be measured directly. This paper selects the diffusion model as the modelling and analysis basis of the humidity mechanism soft-sensing based on the experimental research object. After the study of the basic principles of the diffusion model, a one-dimensional data-driven proton exchange membrane fuel cell humidity mechanism soft-sensing model is analysed and completed. At last, the actual experimental data drives the humidity mechanism soft-sensing model and the predicted output error based on the humidity mechanism soft-sensing model can be controlled within 3%. The output results verify the effectiveness of the humidity mechanism soft-sensing model.
Design and implementation of a high-precision turbidity measuring instrument of a mine
Authors: Wang Xueming , Chen Baoyuan , Zhang Libin 
Published: December 2019

Abstract
In this paper, the principle of turbidity detection based on light scattering principle is expounded, and a design method of high-precision turbidity measuring instrument in coal mine is proposed. The software and hardware design of such turbidity measuring instrument are introduced. The measuring instrument adopts integrated circuit design such as imported photodiode and high-precision operational amplifier. The MATLAB simulation software tool is used to formulate the curve of the turbidity measurement data, and the turbidity measurement value is compensated and corrected to improve the turbidity measurement accuracy. Furthermore, the measuring instrument adopts low-power design, the OLED display technology in particular, to replace the traditional digital tube or LCD liquid crystal; the anti-interference design is applied in the digital interface communication design, and the electromagnetic compatibility test is very suitable for the electromagnetic environment in the coal mine
Structural design of anthropomorphic robot vision system
Authors: Zhang Junyan 
Published: December 2019

Abstract
Anthropomorphic robot is one of the latest research directions in the field of intelligent robot research. It is an intelligent robot with similar shape and humanity. It has mobile function, operation function, sensing function, memory and autonomy, and can realize human-computer interaction. Robot technology has always been a hotspot of technology that people pay attention to. Because of the diverse development of robots, machine vision systems are gradually being established. The machine vision system realizes the functions of collecting images, analyzing images, acquiring information, processing images and others by simulating the human eye. It is a comprehensive technology integrating automation and computer. The article deeply studies the hardware composition and image processing technology of machine vision system and gives an example study on the application of machine vision in various fields. It also analyzes the current development status of machine vision system in China and looks forward to the bright future of machine vision.
Dynamic modelling and simulation of 9.0 m double-tamper mechanism for asphalt paver
Authors: Sun J , Liu C , Zhou Y H 
Published: December 2019

Abstract
Compound motion of double-tamper mechanism has impact force on the ironing plane frame, which affects the quality of the load when the Asphalt Paver running. The dynamic model of the double-tamper mechanism is established by adopting multi-body dynamics, the virtual prototype model of 9.0m Asphalt Paver is established and simulated through the analysis of the principle of the Asphalt Paver. The impact regularity of the vibrating beam inertia force and moment is obtained, and that could provide a reference for the design of double-tamper mechanism for asphalt paver and the adjustment of construction parameters.
Target extraction of fruit picking robot vision system
Authors: Zhang Junyan 
Published: December 2019

Abstract
Real-time and accurate target recognition and extraction of crop fruit images in the field is the key technology for picking robot vision system, and the essence of target extraction is image segmentation. When most of the water (vegetable) fruit is in the picking period, the surface color and the background color are quite different, while the surface colors of the same variety are similar, which are reflected in the different distribution characteristics of the fruit surface color and the background color in the color space. According to this characteristic, an image segmentation algorithm based on color space reference table for fruit target extraction of fruit picking robot vision system is proposed. The algorithm first establishes a color space reference table from the fruit sample image, and then uses a method similar to “convolution” to segment the image according to the color space reference table. Compared with other existing methods, the method is based on color information processing, which can remove the background more cleanly. Without segmentation processing and no complicated operation on the background, the method is beneficial to real-time image processing of the robot.
Testing the possibility of using a selective crushing process for selected types of hard coal
Authors: Kowol D , Matusiak P 
Published: December 2019

Abstract
The article describes the design solutions of KOMAG drum crushers. In the case of significant differences in hardness of coal and gangue, these devices are the most appropriate and the cheapest means of preliminary beneficiation of run-of-mine. The results of laboratory tests of susceptibility to selective crushing of selected hard coal types by the drop method are presented. The possibilities of using a drum crusher for deshaling the analyzed materials are determined.
Comparative analysis of hydraulic power systems for a powered roof support aimed at obtaining optimal power parameters
Authors: Szolc P , Szurgacz D , Styrylski K 
Published: December 2019

Abstract
Hydraulic power systems for powered roof supports, depending on the place of installation of hydraulic aggregates, can be divided into local and central systems. Central systems are gaining popularity and a number of their features are more advanced compared to the local system. However, it is widely believed that their main disadvantage is the necessity to install pipelines with larger lengths, which can have a significant impact on the obtained hydraulic power supply parameters by occurring pressure losses on the pipeline length. This paper discusses the impact of these parameters on the correct operation of the powered roof support section, which is connected with the uninterrupted continuity of the production cycle in a longwall.
Intelligent spraying installation for dust control in mine workings
Authors: Bałaga D 
Published: December 2019

Abstract
Design solution of an intelligent spraying installation for dust control in mine workings, developed within the ROCD project is presented. Current solution for reduction of airborne dust in the underground mining industry is described. Design as well as principles of operation of new solution based on the adaptive operation, consisting in adaptation of spraying intensity to the measured dust concentration are discussed. In conclusions, the directions of further research project are pointed out.
Development of a substrate-invariant 2-D array of nanosecond-pulsed streamer discharges
Authors: Burnette Matthew , Staack David 
Published: December 2019

Abstract
Two dimensional arrays of streamer discharges were developed using electrical discharge machining of stainless steel sheets and stacking them together with spacers to allow gas flow between the sheets. A nanosecond pulsing circuit, capable of delivering 2–40 kV pulses with pulse widths of >20 ns by using two spark gaps as switches, was developed as a simple tunable pulsing power supply. High resolution imaging of the plasma for uniformity across the array tips was conducted. Optical emission spectroscopy was used to characterize the species created as well as probe the temperature of the discharge for various substrates, voltage pulse durations, voltage pulse magnitudes, and gas flows. The discharge properties were found to be substrate independent for a wide variety of conditions.
Phylogeography of the Siberian weasel (Mustela sibirica), based on a mitochondrial DNA analysis
Authors: Ishikawa Keita , Abramov Alexei V , Amaike Yosuke , Nishita Yoshinori , Masuda Ryuichi 
Published: December 2019

AbstractWe investigated the genetic diversity and distribution pattern of mitochondrial DNA control-region haplotypes across the distributional range of the Siberian weasel (Mustela sibirica) in Eastern Eurasia. We identified 23 haplotypes from 65 individuals sampled from 21 localities. Our analyses showed two major phylogeographical groups: group I comprised continental Russia, Tsushima and Korea, and group II comprised China, Taiwan and Korea. Two novel haplotypes found in the Amur area and one from Gansu Province were closely related to the Tsushima and Taiwan clades, respectively. Phylogeographical and demographic analyses indicated a recent population expansion for group I, whereas no clear evidence for expansion was obtained for group II. The recent expansion of group I is also supported by historical records. Closely related haplotypes were found between the continental populations and the insular populations on Tsushima and Taiwan, suggesting that the ancestors of the insular populations immigrated from the continent via land bridges. The two groups could have evolved allopatrically in parts of eastern Asia differing in climate and vegetation.