bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on brand value improvement strategies of fresh products based on cluster analysis-taking cold fresh meat as an example
Authors: Ye Yanghao , Wang Qing , Liu Shengwen , Huang Yajuan 
Published: December 2019

Abstract
Aiming at the strategies to improve the brand value of fresh products, this paper uses the field research data, official data, public information data in the industry, etc. in the cold fresh meat market as the data basis of the research, and uses cluster analysis to divide the cold fresh meat consumer groups into potential group and main force group, conservative group and follow-suit group. And it uses SPSS and mathematical modeling to analyze the characteristic portraits of the four categories of people, and gives strategies to improve the brand value of fresh products through correlation analysis.
Design of fast digital spectrum stabilization method for UAV radiometry system
Authors: Yang Xiaofeng , Ge Liangquan , Zeng Guoqiang , Yao Zongyi , Yan Lei , Hou Yang , Luo Mingtao , Yu Peng 
Published: December 2019

Abstract
The drone radiation measurement system has a sharp increase in demand for environmental radiation monitoring due to its easy manoeuvrability, low aerial survey cost, high patrol efficiency and no personnel safety concerns. In order to adapt to the fast, flexible and efficient characteristics of the drone, the detector for the Unmanned Aerial Vehicle (UAV) radiation measurement generally consists of a plurality of small-sized detectors to form a detection array. Due to the low single crystal count rate and the influence of electronic system temperature and packaging, many detectors of the UAV radiation measurement system will have “spectral drifts”, which affects the quality of the synthesized spectrum and affects the accuracy of the whole system. Aiming at the characteristics of UAV spectrum measurement system, a three feature point recognition model is established, and the K-40 feature peak (1.46MeV) is approximated by reverse piecewise summation. Thus, the backscattering peaks and characteristic peaks K-40 of the measured spectrum can be obtained to achieve fast spectrum stabilization. Finally, through Gaussian Mixture Model (GMM) peak estimation and experimental validation, the method can obtain the characteristic peak position accurately, and the time between instrument start-up and automatic spectrum stabilization is less than 2 minutes.
Research on image matching algorithm based on improved SIFT UAV
Authors: Guo Rong , Li Shixin , Cai Ruyi , Sun Xiali 
Published: December 2019

Abstract
Aiming at the low accuracy of UAV image registration algorithm, and the complex calculation of SIFT algorithm feature descriptor and the low time efficiency, an image matching algorithm based on improved SIFT is proposed. Firstly, the image of UAV is preprocessed, and the feature point operator is detected by Shi-Tomasi corner, then is extracted by SIFT feature vector, and the dimension of feature vector is reduced by PCA. Then the nearest neighbor method is used for feature matching, and the BBF algorithm is used to search the feature values to improve the matching speed. Finally, the RANSAC algorithm is used to purify the feature points for accurate matching. Experiments show that compared with the traditional image matching method, the proposed algorithm improves the efficiency and accuracy of the UAV image registration technology.
Research on the optimization model of cold chain logistics distribution path under the constraint of carbon emission
Authors: Liao Zhigao , Quan Yuncheng , Jian Kerong , Guo Yi 
Published: December 2019

Abstract
The optimization of cold chain logistics distribution path under the constraint of carbon emission is considered. The restriction of hard time window and carbon emission is added to the model design. The carbon emission is converted into the final objective function of economic cost, transportation cost and goods loss cost in the way of carbon trading price. The problem of energy consumption is considered from the perspective of Economics. The cost of carbon emission is added to the mileage saving method, and the improved algorithm is used to increase the applicability of this kind of algorithm.
Free cash flow and position-related consumption of senior management-based on empirical data of state-owned listed companies
Authors: Tan Xing , Gan Shengdao , Yang Wei , Guo Furong 
Published: December 2019

Abstract
The ultimate owner of the state-owned listed companies is the State, but the State cannot directly participate in the supervision of the managers of the company, so the owner may be “absent” in many state-owned listed companies, leading to excessive position-related consumption of the company’s senior management by using the resources of the company in order to seek personal benefits. When the free cash flow is abundant, the senior management will more intend to put it into their own position-related consumption, resulting in higher agency costs. This article collects the data of A-share state-owned listed companies from 2009 to 2015 as research sample, and empirically studies the impact of free cash flow and the “Eight Regulations” on the position-related consumption of senior management. According to the research, excessive free cash flow will promote the position-related consumption of senior management of state-owned listed companies, resulting in higher agency costs; and in case the enterprise has certain free cash flow, the promulgation of the “Eight Regulations” has a restraining effect on the position-related consumption of senior management in the state-owned listed companies.
Data processing of pulsation signals based on local wave decomposition and teager energy
Authors: Wang Fengli , Cai Yannian 
Published: December 2019

Abstract
Nonstationary and nonlinear signals are often encountered in the research and development of turbomachinery. One such example is the pulsating strain signal measured during engine ramping to find the maximum resonant strain in the application. Because the pulse signal may come from different interference sources, it is difficult to detect weak useful signal in the background of noise. In order to solve this problem, a new method based on local wave decomposition (LWD) and Teager energy is proposed. According to the local characteristics of the vibration signal, the optimal prediction operator of the transformed sample is constructed by selecting the appropriate square error minimization criterion, so that the second generation wavelet basis function can fit the local characteristics of the vibration signal. The adaptive second generation wavelet is used as the prefilter to improve the effect of LWD decomposition. Then the correlation kurtosis is used to select the sensitive internal model function (IMFs). Finally, the Teager energy operator algorithm is applied to the selected sensitive IMF to identify the characteristic frequency. The validity of the method is verified by the measured strain signal of a turbocharger turbine as an example.
Design of the gordon euryale seed automatic shelling machine
Authors: Zhang Junyan 
Published: December 2019

Abstract
In this study, Aiming at the inefficiency of the manual shelling of Gordon Euryale seed, a new automatic seeding Sheller with simple structure and easy operation was developed to improve the efficiency. According to the shape and size of the Gordon Euryale Seed and the material characteristics of its hard shell, the mechanical structure of the machine were designed. It included the feeding mechanism, shelling device and separating device. Experiments showed that it had met the requirements of rapid shell peeling. The shell peeling rate was over 98% and the whole kernel rate was over 97.5%. It had reliable operation, fast speed and low failure.
Application of small sample BP neural network in quantitative analysis of EDXRF
Authors: Li Fei , Tang Zhuoyao , Ge Liangquan , Wu Nanxing , Cheng Feng , Sun Kun 
Published: December 2019

Abstract
Quantitative analysis of EDXRF is affected by matrix effect, randomness of nuclear radiation, interaction of elements, statistical fluctuation of radiation detection process, etc. Its algorithm needs to consider many factors, and the established functional relationship is often a complex non-linear function. Therefore, effective quantitative analysis method has always been the key research direction of spectral resolution technology. In this paper, we use MATLAB software to study the effect of BP neural network in quantitative analysis of EDXRF by establishing the non-linear relationship between the counting rate of each element and the content of a single element in a small sample. The experimental results show that the small sample neural network can establish a stable structure and be applied to quantitative analysis of EDXRF, but the number of samples restricts the accuracy of prediction results, most of which can only guarantee 20% to 30% relative error.
Automatic classification of tongue texture color and tongue coating color based on BP neural network
Authors: Zhang Kang , Zhang Heling , Zhu Mingfeng 
Published: December 2019

Abstract
Tongue diagnosis is an important part of the traditional Chinese medicine diagnosis, and it is one of the main criteria for clinical diagnosis of TCM. Tongue texture color and tongue coating color are the main research contents of tongue diagnosis. This paper first uses computer technology to achieve separation of tongue texture and tongue coating on the tongue image. According to the position information, the tongue texture and tongue coating template are discriminated, and the color information of tongue texture area and tongue coating area are obtained respectively. Finally, the automatic classification of tongue texture color and tongue coating color is realized through neural network.
Research on the characteristics of generations of subway vehicles based on artificial neural networks
Authors: Shao Fubo , Liu Hui 
Published: December 2019

Abstract
Urban rail transit vehicles have become an important part of public transport due to the outstanding advantages: high speed, large traffic volume, low energy consumption and less land occupation. Metro vehicles have been developed for over one hundred years and there are obvious generational characteristics. In this paper, the generational characteristics of metro vehicles are studied from the top index of metro vehicles. First, the paper synthetically analyses 45 specific indicators of four categories: vehicle transport capacity, safety, comfort and environmental friendliness. And then 14 core indicators are extracted via employing the complex network method. Secondly, the first- and second-generation metro vehicles are analysed based on the 14 core indicators. By employing the artificial neural networks, the relationship between the performance and indicators of metro vehicles is obtained. And then the performance of the next generation metro vehicles can be predicted. Finally, the characteristics of the next generation of metro vehicles are predicted based on the performance of the next generation of metro vehicles and the latest technology. The future developing direction of metro vehicles is pointed and the theoretical basis for the next generation of metro vehicle manufacturing is provided in this paper.
Exploring the results of college English learning under the perspective of artificial intelligence
Authors: Cao Ming 
Published: December 2019

Abstract
Based on the theory of output hypothesis and the perspective of Artificial Intelligence (AI), the purpose of present study is to verify the result of applying Virtual Reality (VR) experiment. A quantitative method has been used. 69 students as an experimental group and 68 as a control group, by random sampled, have participated this quasi-experiment. After half a year, experimental group has obtained better performance than control group in CET (College English Test). T-test shows significant differences in the result of CET total score (t=2.05, p<0.05) and listening (t=2.70, p<0.01) as well as writing (t=2.32, p<0.05) section score. These results suggest that applying VR method brought positive result for college English learning.
First process-based simulations of climate change impacts on global tea production indicate large effects in the World’s major producer countries
Authors: Beringer Tim , Kulak Michal , Müller Christoph , Schaphoff Sibyll , Jans Yvonne 
Published: December 2019

Abstract
Modeling of climate change impacts have mainly been focused on a small number of annual staple crops that provide most of the world’s calories. Crop models typically do not represent perennial crops despite their high economic, nutritional, or cultural value. Here we assess climate change impacts on global tea production, chosen because of its high importance in culture and livelihoods of people around the world. We extended the dynamic global vegetation model with managed land, LPJmL4, global crop model to simulate the cultivation of tea plants. Simulated tea yields were validated and found in good agreement with historical observations as well as experiments on the effects of increasing CO2 concentrations. We then projected yields into the future under a range of climate scenarios from the Inter-Sectoral Impact Model Intercomparison Project. Under current irrigation levels and lowest climate change scenarios, tea yields are expected to decrease in major producing countries. In most climate scenarios, we project that tea yields are set to increase in China, India, and Vietnam. However, yield losses are expected to affect Kenya, Indonesia, and Sri Lanka. If abundant water supply and full irrigation is assumed for all tea cultivation areas, yields are projected to increase in all regions.
Historical background and development trends of minerals’ processing – conclusions from KOMEKO–IMTech 2019 Conference
Authors: Malec M 
Published: December 2019

Abstract
The article describes historical background and a few development trends of minerals’ processing on the base of the conclusions drawn during the KOMEKO-IMTech 2019 Conference organized by the KOMAG Institute of Mining Technology last March. The scope of the Conference covered an exchange of information and professional experience among representatives of science and industry technology. Some information about processing techniques and technologies in Soverign Poland are also presented in the article. Special attention is paid to innovative solutions of minerals’ beneficiation machines and equipment, in particular developed at KOMAG for the hard coal mining industry.
Tests of BMS Battery Management System with active and passive system of balancing the battery capacity
Authors: Deja P 
Published: December 2019

Abstract
The tests of two BMS Battery management systems, equipped with active and passive systems of balancing the battery capacity, realized within the framework of the HYDKOM 75 project, are discussed in the article. These test were performed on the lithium-ferric-phosphate(LiFePO4) battery assembly for the mining mobile machine of BH 3000 B HYDKOM 75 type. The object of tests included two Battery Management Systems (BMS). The first one was a commercially available system most often used in the automobile industry, however the second one was the author’s BMS-Battery Management System developed at the KOMAG Institute of Mining Technology within a realization of the HYDKOM 75 project. The tests were conducted both during a battery charging process as well as during discharging the LiFePO4 battery for different values of the load current.
Investigations into the wear rate of conical picks with abrasion-resistant coatings in laboratory conditions
Authors: Krauze K , Bołoz Ł , Wydro T , Mucha K 
Published: December 2019

Abstract
As part of own works performed by the Department of Machine Engineering and Transport of AGH University of Science and Technology, investigations into the rate of conical picks’ wear were carried out. For this purpose, the previously developed methodology for running experiments at a specialist laboratory test stand was applied. Tests were carried out for a total of seven types of conical picks with the same geometric parameters, but made of various grades of steel and with the body working surface covered by abrasion-resistant materials. The conducted investigations and the analysis of results allowed recommending conical picks made of S235 steal and hardfaced with EP-TB-1-6 or EP-TB-2-46 electrodes. However, it seems advisable to continue attempts aimed at finding a protective coating for the body of the pick.
Safety of longwall mining with caving in the light of data from monitoring systems
Authors: Rajwa S , Lubosik Z , Płonka M 
Published: December 2019

Abstract
Shield supports are usually perceived as devices consisting mainly of mechanical and hydraulic parts, while other apparatus, mainly related to electronics, is often treated as a necessary supplement to the system which ensures its control. However, the development of features closely related to the latest electronic equipment in the mining complexes, mainly connected with measuring and registration possibilities, also allows for more and more frequent use of various types of monitoring. It enables observation of the operation of the mining complex in real time or with a slight time delay. What is more, it also enables signalling the operating states of the shield constituting specific threats or irregularities. The most advanced systems found abroad are equipped with functions analysing changes in specific monitored parameters to develop warnings about possible future threats to allow the operator to react with sufficient time in advance. Developing such a forecast system requires gathering and then analysing a sufficiently large and complete database of measurements and observations. These are primarily associated with various difficulties in operating a shield support, and especially with strictly emergency states, such as rock slides, shield clamping conditions, etc. The developed warning identifiers also depend on the mining and geological situation of the specific mining panel. The monitoring currently used, concerning a part of the mining complex related to the shield support, mainly concerns the pressures in the hydraulic props of the shield and the measure of the shifter advance. It allows determining the position of the section on the longwall panel length. The current instantaneous shield geometry and dimensions of the excavation itself, such as height, setting and inclination, are determined in-situ much less often. The information obtained is often also sent to the surface of the mine. The data from monitoring of shield support operation, through proper development of dependencies and analysis results, can optimize the safety of crew, reduce difficulties in maintaining the roof of longwall excavations and thus have a positive impact on the obtained economic results.
Optical and functional properties of hydrothermally synthesized tetragonal Ba0.4Cu0.6−xLaxTiO3 (x = 0.2–0.6) nanoparticles
Authors: Prakash M , Kumar R Jeevan , Chandra Babu Naidu K 
Published: December 2019

Abstract
Ba0.4Cu0.6−xLaxTiO3 (x = 0.2, 0.4 & 0.6) (BCLT) nanoparticles were prepared by hydrothermal method. The x-ray diffraction (XRD) pattern established the existence of tetragonal phases. The nanospheres were observed in the surface morphology of present materials using the transmission electron microscopy (TEM). The optical properties were investigated to confirm the presence of metal oxide bonds as well as the optical band-gap energy of BCLT nanoparticles. The dielectric and impedance parameters were studied as a function of frequency and composition. The Cole-Cole plots were drawn to understand the microstructure and electrical conduction mechanism. In addition, the ferroelectric nature was carried out with the help of polarization versus electric field (P-E) loop tracer.
The Historical Evolution of Allegiance During Occupation
Authors: Galvis Martinez Manuel 
Published: December 2019

Abstract
The article traces the historical evolution of an understudied area of International Humanitarian Law (IHL): the rules on allegiance during occupation. By mapping state practice and scholarly opinions, the article shows the abandonment of the automatic transfer of the population’s allegiance to the occupant in favour of other theories. Nonetheless, the discussions surrounding this topic show a general struggle to label the relation between inhabitants and occupiers, and a general rejection of any theory that directly or indirectly presumes sovereignty of the occupier over the inhabitants. The article presents an element that is rarely included in debates on allegiance and occupation, i.e. the efforts of states to reinforce their sovereignty over occupied population through criminal prosecution of those who collaborated with the occupant. Finally, contemporary practice aimed at bypassing the regulations is presented as incongruent with the rules regarding occupation in the Geneva Conventions. Despite the landmarks achieved in regulating the matter, the article shows that many aspects remain under discussion and formation. Furthermore, many current rules, practices and discussions only serve the interests of states and are oblivious of the hardships faced by individuals under occupation.
Distribution Pattern of Thrips (Thysanoptera: Thripidae) and Tomato Chlorotic Spot Virus in South Florida Tomato Fields
Authors: Khan Rafia A , Seal Dakshina R , Zhang Shouan , Liburd Oscar E , Srinivasan Rajagopalbabu , Evans Edward 
Published: December 2019

AbstractTomato chlorotic spot virus (TCSV) is an orthotospovirus that causes a devastating disease in tomato (Lycopersicon esculentum Miller). TCSV emerged recently in South Florida. Studies were conducted in three commercial tomato fields in Miami-Dade County, Florida during the vegetable-growing seasons from October to April in 2015 through 2017. Each year, data were collected at 3, 6, and 9 wk after transplanting at various distances from the edges of each fields. Based on 3 yr total samples, three species of thrips were commonly observed melon thrips, Thrips palmi Karny (62.16 ± 0.79%), being the most abundant species followed by common blossom thrips, Frankliniella schultzei Trybom (21.55 ± 0.66%), and western flower thrips, Frankliniella occidentalis (Pergande) (16.26 ± 0.61%). Abundance of all thrips and TCSV infected plants was high at the edge of a tomato field 3 wk after transplanting with significantly fewer infected plants toward the center of the field. The distribution patterns of thrips and TCSV in various fields were mostly regular and aggregated across the sampling dates during the study period. Abundance of TCSV symptomatic plants and thrips species was high at the edge of the field and increased over time. The number of samples required to accurately determine population density of thrips was calculated by using three precision levels (0.10, 0.20, 0.30) at three predetermined densities of thrips (0.10, 0.20, and 0.40 per sample). This information will provide guidelines to growers, crop protection personnel, agricultural scouts, and researchers to develop a sustainable thrips and tospovirus management program.