bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimal model of locating charging stations with massive urban trajectories
Authors: Huang Danhui , Chen Yuan , Pan Xiaochen 
Published: January 2020

Abstract
Popularization of electric vehicles (EVs) is a promising approach towards realizing environmentally friendly transportation. While government has implemented advantageous policy efforts to boost EVs, how to effectively build electric charging stations becomes a key link. A reasonable distribution should not only conform to user habits and potential behaviour patterns, but also satisfying the charging reliability. In this paper, vehicle track data and POI data are used to cluster with road network information. A clustering algorithm based on R serving radius is proposed to improve the results and make them accommodate the rationality of the real world. Finally, suggestions are made for each charging station power supply scale according to regional difference. Experiments show that the proposed model has practical guiding significance.
Numerical simulation of ultrasonic testing reliability of civil aircraft considering the influence of the angle between the sound beam axis and the crack orientation
Authors: Tian Pei Qiang , Feng Yun Wen , Zhan Shao Zheng , Zhang XueLiang , Xue XiaoFeng 
Published: January 2020

Abstract
In order to quantify the influence of the angle between the axis of the sound beam and the crack orientation on the detection reliability during the ultrasonic testing, this paper uses COMSOL Multiphysics to simulate the numerical simulation of ultrasonic testing and explores the variation of the ultrasonic detection amplitude with the angle. The function of fitting the function is given, and then the numerical simulation method of ultrasonic detection reliability considering the influence of the angle between the beam axis and the crack orientation is proposed. According to the numerical simulation case of ultrasonic detection reliability, the following conclusions are obtained. When the detecting device detects a crack of less than 2.23 mm and the detection probability is greater than 90%, the angle between the axis of the sound beam emitted by the detecting device and the direction of the crack must be greater than 70°; If the detecting device detects a crack greater than 0.7 mm and the angle is greater than 86°, the probability of detecting the crack is greater than 61.35%.
Research on UAV flight safety interval under wind influence
Authors: Wang Zekun , Wen Xiangxi , Wu Mingong , Qiu Shidai , Li Ang 
Published: January 2020

Abstract
With the progress of aerospace technology, unmanned aerial vehicles (UAV) are gradually showing incomparable advantages over manned aircraft. However, the safety interval of formation flying has always puzzled us. In order to solve this problem, this paper mainly studies the collision risks of three UAVs in flight considering the two factors of wind and positioning error. It provides a reference for the research on the of flight safety interval UAV formation.
Analysis on regional difference of meteorological S&T innovation capability in China
Authors: Shen Danna , Li Yan 
Published: January 2020

Abstract
This paper selects the relevant meteorological data in 2014-2017 of the seven regions of Chinese mainland divided in accordance with the administrative area to construct the index system of meteorological S&T innovation capability, and then by means of Entropy TOPSIS method to get the values of Ci of the seven regions, and finally calculates the coefficient of variation of those Ci values based on the analysis of the meteorological S&T innovation capability, the innovation environment, the innovation input and output to analyze the developmental differences across regions. The results of this research prove that from 2014 to 2017, the meteorological S&T innovation ability of South China, North China and East China was relatively strong, while that of other regions was relatively weak. Besides, the meteorological S&T innovation ability of each region fluctuated in different years, but by 2017, the differences in innovation ability of meteorological S&T among regions were narrowing.
Experimental investigation of cutting temperature during drilling of float glass specimen
Authors: Sharma Ankit , Jain Vivek 
Published: January 2020

Abstract
In today’s industrialization, hard and brittle material such as float glass are widely used in various applications such as micro-fluidic devices, bio-medical parts, automotive glass, and optical lenses. Due to its difficult-to-machine characteristic, drilling of float glass leads to defects related to drilled hole quality. These defects exemplify as chipping, crack and surface roughness. All these defects are directly depend upon the temperature which could affect the drilling quality. Hence, authors tried to investigate the influence of cutting temperature of float glass specimen using rotary ultrasonic drilling. The experimentation is performed at two conditions with constant value of ultrasonic amplitude (20 μm), feed rate (6 mm/min) and spindle rotation speed (5000 rpm). These conditions are without coolant and with-coolant drilling. It is noticed that maximum cutting temperature reached with coolant drilling is 50.56°c and without coolant is 62.11°c. Consequently, it is revealed that drilling with coolant (water) should be adopted to improve the hole quality. Since, it reduced the formation of stresses during drilling operation which are induced due to rise in temperature. Microstructure images are carried out to visualize the hole quality.
Dual stage control of a servo system consisting of a piezoelectric actuator and a linear motor for electrical discharge machining
Authors: Melhem Muyad Bani , Simic Milan , Feng Yong , Ding Songlin 
Published: January 2020

Abstract
Gap width is the most important factor that affects the stability of the electrical discharge machining (EDM) process, material removal rate and surface finish of the workpiece. This research is to develop a new hybrid positioning system which consists of a linear servo motor and a piezoelectric actuator (PZT) for high efficiency EDM processes. In this new system, the servo motor provides the macro feeding for the workpiece while the PZT feeds the workpiece in micro scale at high frequency. To reduce the delay caused by separate movements of the linear motor and PZT, a new control algorithm was developed to synchronize the movements of both the motor and PZT. Cutting experiment shows that an increase in MRR of 1.5 times was achieved by using the proposed algorithm.
Complete coverage of perovskite materials over ZnO Nanorods with Multiwalled Carbon Nanotubes (MWCNTs) as Hole Transport Material (HTM)
Authors: Bramantyo Albertus , Poespawati Nji Raden , Udhiarto Arief , Murakami Kenji , Okuya Masayuki 
Published: January 2020

Abstract
In this research, ZnO nanorods (NRs) have been fabricated for perovskite solar cell (PSC) application. An issue about the use of ZnO material for PSC application is lower photovoltaic outputs than TiO2 material. Such outcome is due to unstable ZnO/perovskite interface. Other factor is due to partial coverage of the perovskite over the ZnO material. By using 1-step method and mixture of DMF and DMSO as the solvent for perovskite solution, complete coverage of the ZnO NR was achieved. Multiwalled carbon nanotubes (MWCNTs) and copper iodide (CuI) were used as hole transport materials (HTMs) for comparison purpose. The experiment and characterization were done in Shizuoka University, Hamamatsu campus, Japan. The ZnO NRs were grown by implementing 2-steps method of seed layer deposition by spin coating and NRs growth through chemical bath deposition. Methylammonium lead iodide (CH3NH3PbI3 or MAPbI3) perovskite was grown through 1-step method by mixing equimolar lead iodide (PbI2) and methylammonium iodide (CH3NH3I or MAI) in DMF and DMSO solvents (volume ratio of 7 to 1 for DMF and DMSO, respectively). The current-voltage (I-V) curve for both materials showed higher JSC and VOC for MWCNTs at 5.34 mA/cm2 and 0.21 V, respectively compared to CuI materials (JSC = 3.40 mA/cm2 and VOC = 0.14 V). Lower VOC is the result of higher series resistance due to non-passivated ZnO/MAPbI3 interface. Another factor to consider is recombination of electron and hole at the interface. MWCNT material is an alternative material to act as HTM because of high conductivity and lower electrical resistance compared to CuI. Complete coverage of the perovskite over ZnO material helped improving the production of photogenerated electrons.
Heart rate prediction model based on neural network
Authors: Luo Minmin , Wu Kaibin 
Published: January 2020

Abstract
Heart is an essential organ of human body and heart rate (HR) is the most obvious heart activity in daily life. In order to predict heart rate, a heart rate prediction model based on LSTM (Long Short-Term Memory) neural network is proposed in this paper. This model combines five physiological parameters as input to ensure the validity of heart rate prediction. The results show that Adam-LSTM is a good method for heart rate prediction and reflects the tendency of heart rate change in daily life. At the same time, the experimental results show that the root mean square error of prediction value is small and the validity is high.
Study on the performance of inflatable decelerator under hypersonic aerodynamic load
Authors: Wang Jingjing , Yu Li , Yang Xue , Zhao Xiaoshun 
Published: January 2020

Abstract
In order to understand the influence of hypersonic aerodynamic force and aerodynamic heat on the performance of flexible structure of inflatable decelerator, a unidirectional thermal-fluid-structure three field coupling model under the extreme conditions of reentry trajectory is established in this paper. The temperature distribution of thermal protection structure (TPS) and structure response are obtained. The numerical results show that the TPS has a good insulation effect, and the cooling contribution of insulation layer in TPS is up to 80.90%. The stress is concentrated at the contact position between the flexible structure and the blunt head. The stress of TPS layer fluctuates greatly.
Ideal performance analysis of the scramjet with Pre-jet fuel
Authors: Zhang Shengsheng , Xue Yu , Yang Yang , Wang Haoliang , He Yubao , Zheng Sihang , Lv Ya , Zhang Yong 
Published: January 2020

Abstract
In order to research the influence on the overall performance of scramjet with Pre-jet (jetting fuel or water vapor into the isolator) fuel, the governing equations of the different component in scramjet and the ideal performance analysis model with Pre-jet fuel are established. Moreover, Pre-jet fuel is considered based on the ideal Brayton cycle. The results of ideal performance analysis show that Pre-jet fuel doesn’t burn at a given maximum temperature of the combustor exit. Due to the increasing of oil to air ratio with Pre-jet fuel, the outlet temperature of the isolator drops more. However, fuel potential of the combustion, the flux of working fluid and the engine thrust ratio are increased. Meanwhile, the influence of methane and water vapor on the engine performance is similar, because the Pre-jet fuel is small and there are some similarities between methane and water vapor.
Cross-modal retrieval by an end to end way
Authors: Yin Bang Hu , Li Xiu 
Published: January 2020

AbstractCross-modal retrieval has attracted most attention in the recent years. For the image and text, how to measure the semantic similarity among them is still a challenging problem in cross-modal retrieval task. In our paper, we propose a cross-modal retrieval method that uses a CNN to obtain the semantic similarity between image and text. Most methods to solve this problem employ two separate parts for each modality to obtain the semantic similarity between them. However, in our work we just use a CNN to get the semantic similarity without having to use separate networks. In addition, we are aiming to solve the problem between long text and image, so we use the topic model to process the text. We evaluate our approach on Wikepedia dataset.
FFOCT imaging based on compressed sensing
Authors: Mu Ning , Liu Feng , Guo Hongxia , Gao Wanrong 
Published: January 2020

Abstract
With the demand for high-resolution images, the storage space occupied by the images of the full-field optical coherence tomography (FFOCT) system is becoming more and more intensified. How to reduce the data volume of high-resolution image systems has become a research hotspot in the image processing industry. In particular, precision medicine requires high-resolution images of organs and tissues, and this data storage system requires a large storage space. For this reason, based on the high-resolution tomographic image obtained from our organ tissue, compressed sensing theory is used to perform compression reconstruction simulation. It is verified that the amount of data stored in the three-dimensional image of the diseased tissue is effectively reduced without changing the image resolution.
A new automated drip irrigation and fertigation system for sugarcane crops
Authors: Rivera Diana Rose , Paduman Sharaful-Ilmi , Uon Leapheng , Chua Alvin 
Published: January 2020

Abstract
This paper presents a new automation system specifically design for sugarcane crops to optimize the irrigation and fertigation process against resource shortage and climate change. The system uses a programmable logic controller, sensors, actuators, and other mechanical equipment to control and manage the supply of water and nutrients based on the fertilizer requirement at sugarcane’s development stages. The simulation was done using a commercially available tool Picosoft V6.22, a software compatible with Allen Bradley Programmable Logic Controller. The economic analysis was also provided to show the advantages of using an automated irrigation as compared to the manual irrigation. Result of the analysis shows a payback period of a month as compared to 4.3 months for the manual irrigation system.
Analysis and design of integrated intrusion detector performance testing system
Authors: Sun Fei , Wang Xiaofeng , Tan Ming , Hu Xianfeng , Hu Rui 
Published: January 2020

Abstract
The integrated intrusion detector performance testing system is mainly used to simulate the performance of active infrared, passive infrared, infrared and microwave composite detectors. The device has the advantages of complete function, simple operation, stable performance, high control precision, accurate collection and good security. In addition, the wireless transmission technology is adopted, and the remote operation can be carried out. The main goal of this paper is to develop the intrusion detector detection system according to the standard technical requirements and test methods, to meet the needs of product detection, and finally to improve the competitiveness of domestic related enterprises in the international market. The device can test whether the intrusion detector has the problem of false alarm and false alarm, test the anti-interference ability and the performance parameters of the intrusion detector, and then improve the product quality of the intrusion detector. It is very helpful to develop new products.
Short text semantic feature extension and classification based on LDA
Authors: Xu Liu-tong , Xue Zhao , Huang Hai 
Published: January 2020

Abstract
To solve the problem of feature sparseness of short texts, we studied the application of LDA Topic Model on feature extension and classification of short texts. Training LDA on external long texts related to short texts, and achieving the inference and extension of short texts’ topics based on LDA solves the feature sparseness of short texts and improves the accuracy of classification effectively. Latent semantic information in LDA can also effectively improve the interpretability of short texts.
Crude Castor Oil as Blend Component in Diesel/Ethanol Fuel Blend: Combustion Characteristics and Exhaust Emissions
Authors: Klinkaew Niti , Sukjit Ekarong , Dolwichai Teetut 
Published: January 2020

Abstract
Some properties such as poor lubricity and low viscosity limit the use of ethanol as an alternative fuel in diesel engines. To improve such inferior properties, crude castor oil with excellent lubricity and extremely high viscosity was added to diesel-ethanol fuel blend. Investigation on combustion characteristics, engine performance and exhaust emissions of a four-stroke single cylinder diesel engine fueled with ternary blend of diesel-ethanol-castor oil was carried out in this research. The blend of 80% diesel, 10% ethanol and 10% castor oil (D80E10C10) was selected for the study. The results on fuel properties showed that the presence of 10% castor oil in diesel-ethanol blend can improve the properties of the blend and meet the diesel fuel specification. The delay in start of combustion was obtained with the use of the ternary blend with respect to diesel fuel combustion, resulting in the lower peak of in-cylinder pressure and temperature. The reduction in nitrogen oxides (NOx) and smoke was found when the engine was operated with the ternary blend at all conditions tested. Carbonaceous gas emissions, carbon monoxide (CO) and unburnt hydrocarbons (HC), was increased with the combustion of ternary blend at low engine operating loads. However, the difference in CO and HC with the combustion of diesel fuel and ternary blend was decreased as the engine loads increased. The addition of crude castor oil to diesel-ethanol blend used as alternative fuel in the diesel engine did not show the significant difference in brake specific fuel consumption and brake thermal efficiency compared to diesel fuel.
Research on Voice Print Recognition Algorithm based on Wavelet-GA-BP Neural Network
Authors: Yanfeng Kong , Lianxing Jia , Jiang Zhang 
Published: January 2020

Abstract
Aiming at the fact that common pattern recognition algorithms such as LPCC and MFCC have flaws in voice-print recognition, the paper put forward a new algorithm, which employed wavelet analysis, BP neural network and niche genetic algorithm. Firstly, the algorithm extracted time-domain and frequency-domain characteristic variation of voice signal by wavelet transform, secondly, trained the neural network niche genetic algorithm, which solved the problem of local minimum value caused by normal multi-layers neural network, lastly, took the wavelet transform variations as the training data of the optimization neural network. Simulation experiment was carried out. The results indicate the algorithm in this paper is superior to current recognition algorithms, it has fast recognition velocity, high recognition rate, low fault rate and strong robustness with different voice-makers, besides, it can automatically correct errors.
The Research on Sensorless Control of Permanent Magnet Synchronous using SMC and SMO
Authors: Daoqi Li , Xinhong Xiong , Guoqing Zhang , Yanhui Zhang , Rui Zuo , Wei Feng 
Published: January 2020

Abstract
This work proposes a way to achieve the sensorless control of permanent-magnet synchronous motor using sliding mode controller (SMC) and Sliding Mode Observer(SMO). In this Paper, the SMC is designed to replace the speed control loop PI controller from the original permanent magnet synchronous motor control system with the sliding mode variable structure control theory. Combined with the modified SMO, the “SMC and modified SMO” motor control system is proposed. Compared with the “PI and modified SMO” mode, the performance of the motor control is increased substantially, the interference torque speed attenuation is decreased by 87.5%, and the speed control error was also reduced by 67.7%. There is no overshoot with the reaction speed, and significant improvement in response speed, anti-interference performance, control accuracy and observation precision are achieved. Overall, both the system control and observation performance are significantly improved.
Characteristics of High-Strength Sheet Steel after Subsequent Heating
Authors: Alimov V I , Shtykhno A P , Kolchina Yu S 
Published: January 2020

Abstract
The influence of controlled rolling and the parameters of subsequent technological heating on the processes of structure formation in high-strength sheet steels EH36 and X70 is investigated. It has been established that when redistributing a thick sheet into products, it is necessary to minimize the temperature-time parameters to prevent softening processes. Welding, as one of the sources of technological heating, leads to a change in the structure in the zone of thermal influence and uneven distribution of hardness over the cross section of welded joints, which reduces the uniform strength of the structure as a whole. Short-term heating (about 15 minutes) even to temperatures above Ac1 (760 ° C) and cooling in air in the weld zone do not lead to significant changes in structure and hardness, but the degree of uniformity of the welded sheets increases.
Experimental Research of the Hot-Rolled Pipe Wall Sizing Process at the Reeling Mill of Pipe-Rolling Plant-140 in Conditions of Product Mix Extension
Authors: Yu Belyaev S , Chechulin Yu B , Fedulov A A , Yu Bulganina M 
Published: January 2020

Abstract
This experimental study was conducted on the equipment of pipe-rolling plant-140 with an automatic mill in order to give a qualitative and quantitative evaluation of the parameters which define the pipe wall sizing process in reeling mills. During investigation values of the power parameters of the process were recorded for different sizing routes. Conclusions about the special features of the wall sizing process and feasibility of extension of the reeling mill process capabilities were formulated.
On the Applicability of the Evaluation Techniques of the Properties of Iron-Ore Sinter
Authors: Malygin A V , Detkova T V 
Published: January 2020

Abstract
Referring to the hierarchical structure of sinter cake, the applicability of various methods for controlling sinter properties has been studied. The technique has been proposed for evaluation of quality yield and strength for sinter using the parameters characterizing structural fines yield and strength of macroblocks under destruction.
Baseline 10-Year Cardiovascular Risk Scores Predict Cognitive Function in Older Persons, and Particularly Women, Living With Human Immunodeficiency Virus Infection
Authors: Chow Felicia C , Lyass Asya , Mahoney Taylor F , Massaro Joseph M , Triant Virginia A , Wu Kunling , Berzins Baiba , Robertson Kevin , Ellis Ronald J , Tassiopoulos Katherine , Taiwo Babafemi , D’Agostino Ralph B 
Published: December 2019

AbstractBackgroundCardiovascular disease (CVD) and associated comorbidities increase the risk of cognitive impairment in persons living with human immunodeficiency virus (PLWH). Given the potential composite effect of multiple cardiovascular risk factors on cognition, we examined the ability of the Atherosclerotic Cardiovascular Disease (ASCVD) risk score and the Framingham Heart Study Global CVD risk score (FRS) to predict future cognitive function in older PLWH.MethodsWe constructed linear regression models evaluating the association between baseline 10-year cardiovascular risk scores and cognitive function (measured by a summary z-score, the NPZ-4) at a year 4 follow-up visit.ResultsAmong 988 participants (mean age, 52 years; 20% women), mean 10-year ASCVD risk score at entry into the cohort was 6.8% (standard deviation [SD], 7.1%) and FRS was 13.1% (SD, 10.7%). In models adjusted only for cognitive function at entry, the ASCVD risk score significantly predicted year 4 NPZ-4 in the entire cohort and after stratification by sex (for every 1% higher ASCVD risk, year 4 NPZ-4 was lower by 0.84 [SD, 0.28] overall, P = .003; lower by 2.17 [SD, 0.67] in women, P = .001; lower by 0.78 [SD, 0.32] in men, P = .016). A similar relationship was observed between FRS and year 4 NPZ-4. In multivariable models, higher 10-year ASCVD risk and FRS predicted lower NPZ-4 in women.ConclusionsBaseline 10-year ASCVD risk and FRS predicted future cognitive function in older PLWH with well-controlled infection. Cardiovascular risk scores may help to identify PLWH, especially women, who are at risk for worse cognition over time.