bluuebunny/crossref_metadata_2025_split huggingface dataset:
The establishment of the national dose reference level (DRL) for head-CT examination in Indonesia
Authors: Budi Verinda Sera , Anam Choirul , Yoyo Wardaya Asep , Rusmanto  , Bagus Gede Putra Pratama Ida 
Published: June 2020

Abstract
The dose reference level (DRL) is one of the tools for dose optimization in every radiological practice. However, Indonesia does not have a national DRL for CT which can be adopted nationally to date. This research was aimed to develop the national DRL for the head CT examination. There were 636 survey booklets with 20.211 patient data. All data then were classified into contrast and non-contrast parameters. Outliers data were removed from the data list by z-score. MATLAB R2017b was used to determine minimum, maximum, the first, second and third quartile values. The third quartile of data was identified as the DRL value. It was found that national DRLs in terms of CTDIvol, DLP, and effective dose were 60 mGy, 1,811 mGy-cm, and 3.8 mSv for the contrast parameter, and 61 mGy, 1,350 mGy-cm, and 2.8 mSv for the non-contrast parameter. National DRL values for males and females show the same value when stated in CTDIvol. Meanwhile, the national DRL value for males is greater than that for females when expressed in DLP and effective dose. These results are consistent with the differences in head size that is relatively larger in males than in females.
The Impact of Mg Concentration, Microwave Irradiation Time, and Sintering on Magnesium-Hydroxyapatite Synthesis
Authors: Siregar J A , Nurlely  , Sari Y W 
Published: June 2020

Abstract
Hydroxyapatite synthesis is an inorganic compound that makes up the hard tissues of the human body such as bones. This study aims to substitute Magnesium (Mg) ions, which have an important role in the structure and function of the human body, in Calcium (Ca) ions from Hydroxyapatite. MgHA crystals are synthesized by mixing a solution of diammonium hydrogen phosphate and magnesium hydroxide into a calcium hydroxide solution which is then irradiated with microwaves, with variations in the concentration of Mg and irradiation time. From the XRD results show that along with the increase in Mg concentration and irradiation time the lattice parameter values a and c are reduced by 0.03 in lattice a and 0.01 in lattice c. The increase in irradiation time is proportional to the increase in crystal size (L) and crystallinity index (CI). At t = 35 it is found L = 19.08 nm and CI = 0.14. The increase in Mg concentration is proportional to the increase in crystal size and crystallinity index, the increase in Mg concentration above 0.6 M shows the presence of saturation in the binding process of Mg in the apatite structure. The sintering process at 900ºC increases the crystal size value from 19.08 nm to 52.09 nm and the crystallinity index from 0.14 to 2.97. Morphology of MgHA produces rod-shaped particles with agglomeration caused by a large amount of Mg content in apatite.
Bioenergy Alteration in White Rats (Rattus norvegicus) due to the Acupuncture Needle Stimulation
Authors: Rahmawati T , Fitriyah N , Astuti S D , Septriana M , Suhariningsih  
Published: June 2020

Abstract
The research have been conducted to determine the bioenergy alteration in white rat (Rattus Norvegicus) due to needle stimulation in acupuncture point. Twenty eight male white rat were divided randomly to 4 groups. Group 1 was untreated (control). Group 2 was treated by acupuncture with 15 Hz frequency, 10 minutes, for 5 days at Zusanli (SP 36) point. Group 3 was treated by acupuncture with 15 Hz frequency, 10 minutes, for 5 days at combination Zusanli (SP 36) points – Sanyinjiao (SP 6) point. Group 4 was treated by ephedrin’s oral consumtion for 5 days in 3 mg/kg weight and the parameter that was used is a maximum travel time of the white rat in the tredmill’s trajectory until it reaches the point of exhaustion before and after treatment. The addition of travel time is comparable with the addition of bioenergy, so bioenergy changes in group 2 and 3 can be calculated. The result of multiple comparative analysis with the Least Significant Difference (LSD) of the control group againts ST 36 group indicate a significant difference (p=0,006), control group againts group combination ST 36 – SP 6 indicate a significant difference (p=0,023) and control group againts ephedrin’s oral consumption group not indicate a significant difference (p=0,772). Electroacupuncture at Zusanli (SP 36) point and combination Zusanli (SP 36) points – Sanyinjiao (SP 6) point can affect changes of bioenergy.
LDA_RAD: A Spam review detection method based on topic model and reviewer anomaly degree
Authors: Ya Zhou , Qingqing Zhou , Yuhan Wu , Shuai Zhang 
Published: June 2020

Abstract
Online shopping has become a popular activity among consumers. Reviews have become important standards for consumers to buy things. To detect the spam re-views that do not correctly response the right information of goods, a method based on topic model and reviewer anomaly degree is raised. This method divides spam reviews into content-type and deceptive spam review respectively. Firstly, the experimental data set is modelled by LDA topic, which detects the content-type spam reviews with different themes. Then the deceptive spam reviews are detected by the reviewer’s abnormality degree index. It assigns a score to each review according to extracted features and related weights. A score is finally combined with an adaptive weight calculation based on the abnormal period and the reviewer’s similarity to obtain the review score. The review with a high score is considered to be a spam review, and the review with a low score is a true review. Experiments show that this method has a certain improvement on the recognition rate of spam reviews.
Fireworks Algorithm Based on Opposition-Based Learning and Quantum Optimization Strategy
Authors: Jin Hongbin , Li Hao , Ma Yanyan , Fang Xi 
Published: June 2020

Abstract
Aiming at the bottleneck of optimization performance and slow convergence speed of fireworks algorithm, a new fireworks algorithm (FWA) is proposed by integrating Opposition-Based Learning and Quantum Optimization strategy (OQFWA). The new algorithm optimizes the original fireworks algorithm in the aspects of the selection of sparks and the local improvement of the optimal individuals, which effectively improves the convergence accuracy and speed of the algorithm. The simulation results of extremum optimization of typical test functions with different characteristics show that the fireworks algorithm, which integrates the Opposition-Based Learning and Quantum Optimization strategy, and has good optimization performance.
Research on Open System of Economic and Management Laboratory Center Based on Cloud Platform
Authors: Yan Honshu , Yin Qinghai 
Published: June 2020

Abstract
The traditional open management mode of economic and management experimental teaching center can no longer meet the needs of personalization, mobility and digitalization of college students in the new era. Through the questionnaire research of 56 experimental centers, we get the valid data of 56 experimental project managers and 372 college students’ questionnaire, and use SPSS19.0 software to analyze the data. Based on the analysis results and the design of laboratory teaching management, college entrepreneurship contest, open laboratory center and project management, this paper proposes that the traditional laboratory management mode should be transformed to the modern management mode supported by mobile, digital and We Chat public number technologies.
Research on Comparison Model of Connected Project Financing Model Based on Fuzzy Hierarchy Theory
Authors: Yongfang Jan , Lin Liu 
Published: June 2020

Abstract
A scientific and reasonable project financing mode is very important for the development of transnational grid interconnection projects. On this basis, this paper first analyzes the status of the interconnection project, and designs the interconnection project financing mode comparison index system from four dimensions, external financing environment, financing method, financing efficiency and financing risk. Secondly, with the help of fuzzy analytic hierarchy process, the comparison model and calculation process of the interconnection project financing model are established. Finally, the S interconnection project is selected for case analysis, and it is concluded that the interconnection project should adopt the BOT project financing model, which is helpful to reduce project financing risks and increase revenue.
Face Recognition Algorithm Based On Convolutional Neural Network
Authors: Xu Shiyuan , Xu Shicheng , Wang Zhaojun , Pu Chengyan , Meng Qingchuan 
Published: June 2020

Abstract
In response to the needs of modern enterprises for intelligent security of face authentication, a face recognition algorithm based on deep convolutional neural network is introduced in this paper. In order to improve the accuracy of face recognition, the design of 11 convolutional layers and 4 pooling layers. The network uses the standard face data set CASIA-WebFace for training, and the face recognition accuracy on the LTW database can reach more than 97.8%. Based on this deep learning network, a face recognition management system was designed. The system realized 1: 1 face authentication and 1: N face recognition. After applying the convolutional neural network algorithm, the face search time is significantly reduced, indicating that the algorithm has higher efficiency and practicability.
Artificial Intelligence and Career Development of College Teachers: Challenge and Countermeasures
Authors: Wang Lei 
Published: June 2020

Abstract
In this AI-dominated age, emergence of virtual teachers, advances in smart education and changes in the job market bring about new challenges to career development of college teachers. How to cope with the development of artificial intelligence, reshape the roles and improve their educational expertise has become an important issue that teachers should pay attention to. On the basis of previous studies and in-depth interviews with college staff and engineers, this study illustrates the strategies for career development and improvement of expertise of college teachers from the perspectives of building the human-computer collaboration philosophy, reshaping the role of teachers, improving expertise of smart education and increasing college support, in hopes of helping teachers to adapt to the AI-dominated age.
Research on Oral English Teaching System Based on VR in the Background of AI
Authors: Li Xi , Xie Ying , Liu Tianqin 
Published: June 2020

Abstract
2016 is a year when AI (Artificial Intelligence) technology has made a significant breakthrough. The language service products of AI and VR (virtual reality) technology are increasingly appearing in the commercial market, which has brought a huge impact on the language service industry. Based on the analysis of the current principles and development status of the language service products of artificial intelligence and VR (virtual reality), this paper attempts to explore the enlightenment of new technology to language service, especially in oral English teaching, while oral English Corpus needs to be built. This research designs a set of oral English training system based on artificial intelligence and VR (virtual reality) technology, which makes oral English teaching conform to the requirements of the times. The research result is that it can improve the efficiency of oral English training.
Research and Application of Historical Building Conservation and Management System based on UAV
Authors: He Huagui , Li Qixing , Guo Liang , Yang Weijun 
Published: June 2020

Abstract
Guangzhou is one of the most famous historical cities in China which has abundant unique cultural resources. With the development of economy and the acceleration of urbanization, the preservation of historical buildings and urban construction have fallen apart, which leads to the destruction of historical buildings and the lack of efficient supervision of the protection of historical buildings. For the difficulties in digital preservation of historical buildings in Guangzhou, it is necessary to construct a comprehensive application of high-precision terminal application, network platform and other technologies, to control the whole process of information interaction, data processing and arrangement, thus achieving the implementation of historical building preservation plan and management.
Research on the application of Mobile GIS in the intelligent protection of historical buildings
Authors: Guo Liang , Zeng Zhihua , He Huagui , Yang Weijun 
Published: June 2020

Abstract
Aiming at the protection and management of urban historical buildings, this paper studies the methods of historical building information management and utilization based on mobile GIS to improve the accuracy, timeliness and scientificity of historical building protection and management. This article introduces the use of mobile GIS terminals to quickly collect and manage historical building attribute information, multimedia information, historical archive information, and spatial information. It also supports 3D scene browsing, information analysis, and thematic map production. The historical architecture culture was demonstrated, and the applicability and advancedness of the method were verified through the practical experience of intelligent management of historical buildings in Guangzhou.
Natural frequency analysis and simulation test of conical shell under support condition
Authors: Bao Xiaohan , Liu Yiling 
Published: June 2020

Abstract
This paper presents an analysis of the vibration characteristics of a conical shell with a fixed support. Firstly, a reasonable numerical calculation model has been established based on the Donnell shell theory, and the first 9 modes has been calculated by Numerical method with MATLAB. Then, the finite element model of conical shell has been built on the ANSYS Workbench simulation platform. With specific constraints set, modal analysis has been carried out on the model of conical shell to find and verify the corresponding numerical model is convergent.
A Facial Approach for Detection of Irregularly Entangled Copper Wire during Twining by Machine Vision
Authors: Zhang Yuhang 
Published: June 2020

Abstract
In this study, a computer vision-based inspection system is designed to detect the presence of irregularly entangled copper wire during twining for industrial processing. With the assistance of high speed industrial camera, the images of copper wire during twining would be recorded in real-time. All lines in the images are detected by Hough transform. According to the calculated slope of all lines detected in the images, a threshold is artificially set to distinguish between the regularly coiled and irregularly entangled copper wire. This defect detection system could greatly improve the efficiency of industrial production.
Simulation analysis of grid-type PVD thin film sensor based on COMSOL
Authors: Yujian Song , Ronghong Cui , Yuting He , Tao Chen , Xianghong Fan 
Published: June 2020

Abstract
On-line quantitative monitoring of fatigue crack sensors is an important part of structural health monitoring systems. A rectangular grid-type PVD (physical vapor deposition) thin film sensor based on the potentiometric method is designed in this paper. First, the sensor finite element model is established through the AC/DC module of COMSOL Multiphysics to verify the feasibility of the sensor to monitor cracks. Second, the effect of the number of sensing channels on the sensitivity of the sensor is studied. Finally, the structural parameters of the sensor are optimized. Significantly improved sensitivity for crack detection. The results show that the rectangular grid PVD film sensor can effectively monitor structural cracks.
Cross-domain few-shot classification through feature confusion
Authors: Ye Guoxiang , Xia Yan , Feng Zhangwei , Tian Feng 
Published: June 2020

Abstract
Few-shot classification has made great progress in recent years which aims to solve new tasks using the prior knowledge obtained from a set of similar tasks with few labeled examples. However, the performance of current methods drops when domain shift exists between training and testing samples. Considering the situation where target domain examples are hard to collect, it is necessary to focus on the cross-domain problem. In this paper, we propose a simple method which embeds the domain adaptation method into the few-shot problem under a novel cross-domain few-shot setting, and focus on supervised setting in the target domain where few labeled data available for domain adaptation. Extensive empirical evidence shows the effectiveness of our method.
Research on the Value of Inclusive Education Based on Big Data in Promoting the Development of Minority Education
Authors: Ai Yingtong , Lili  
Published: June 2020

Abstract
Compulsory education for ethnic minorities is a weak link in China’s education system, which is mainly reflected in the unfair phenomena in educational opportunities, educational process and educational results. Inclusive education for ethnic minorities in the context of big data refers to the activities to promote the socialization of ethnic minority students in China by means of technological gifts in the era of big data for ethnic minorities whose population is relatively weak. As the largest developing country, promoting inclusive education in China is still the most basic task of the country, and the government will undoubtedly bear the most important responsibility in promoting inclusive education. The content of inclusive education is more and more broad, far beyond the scope of special education, involving all kinds of learning difficulties and students with special needs. In modern China, which has increasingly frequent international contacts, we need to re-examine China’s current education from the perspective of inclusive education based on the background of big data.
Research on Effects of Satellite Attitude on Modulation Transfer Function of High-resolution Space Optical Remote Sensor
Authors: Jiang Xiaonan , Fu Yao , Bao He , Liu Hailong , Sun Xuechen , Han Chengshan 
Published: June 2020

Abstract
In this paper, the necessity of analysing the satellite platform attitude maneuver performance impact on imaging quality is pointed out, basing on a review of high-resolution space optical remote sensor development. Using some mission requirements and the satellite performance indicators as simulation input conditions, with Monte Carlo method, the analysing of attitude maneuver range that meets the modulation transfer function of image motion velocity compensation larger than 0.95 was taken. The simulation results were showed in three-dimensional surface graphs intuitively, which indicated the attitude stability and attitude measurement accuracy specifications of the satellite platform meet the imaging requirements in the range of elevation angle within±5° and rolling angle within ±45°.
Comparison and Analysis of Different Numerical Schemes in Sod’s One-dimensional Shock Tube Problems
Authors: Ji Ning 
Published: June 2020

Abstract
In this paper, we apply a variety of numerical methods to calculate and analyze the Sod’s one-dimensional shock tube problem. Different schemes show different resolution capabilities for rarefaction waves, shock waves, and contact discontinuities. Under different grid density, we further analyze the performance of various schemes, and carry out error analysis to calculate the numerical accuracy. In conclusion, the accuracy of different numerical schemes decreases at discontinuities, and NND scheme and WENO scheme can effectively eliminate the non-physical oscillation.
Research on the Detection Method of SQL Injection Attack Based on Sequence Alignment
Authors: Qi Xiaoxia , Dai Tianyang 
Published: June 2020

Abstract
In order to improve the detection efficiency of SQL injection attack, this paper proposes a detection method of SQL injection attack based on sequence alignment algorithm. Needleman-Wunsch and its improved algorithm are used to carry out sequence alignment and then find out the best alignment results in the global-scope. Experiments show that 100% of the SQL injection attacks tested are detected in the detection rate; the algorithm has the minimum response delay compared with other types of SQL injection attacks. The detection method proposed in this paper can improve the detection effect quickly and effectively, and reduce the complexity of time and space.
Research on Experiential Solidification Learning Technology for Intelligent Mining of Power System Vulnerabilities
Authors: Zhao Di , Li Yan , Dong Yang , Ni Jiaming 
Published: June 2020

Abstract
Aiming at the problems that the experience of network security personnel in power system is difficult to solidify, and the basic and repetitive vulnerability mining work is intelligently replaced by the lack of experience guidance, this paper studies the experience solidification learning technology of power system vulnerability intelligent mining. Format specification and parsing language of vulnerability intelligent mining experience tree are proposed, which can transform flexible and complex vulnerability mining experience into a language that can be recognized and understood by machine. At the same time, it puts forward the solidification and intelligent learning technology of vulnerability mining experience, through the automatic pervasion test for the target, combined with reinforcement learning algorithm, intelligent learning generates vulnerability mining experience tree, and finally forms the high-efficient transformation of the red team personnel experience and the intelligent substitution of part of the work.
Research on the Design and Construction of University Informationized Learning Environment under the TPACK Framework
Authors: Gan Baiqiang , Zhang Chi 
Published: June 2020

Abstract
The rapid development of information technology has broken the traditional teaching methods and learning environment, and the traditional teaching environment is difficult to meet the needs of information-based teaching. Therefore, based on the TPACK theory, this paper integrates the teaching method, information technology and subject content, and uses cloud computing technology to design the information-based learning environment model and framework in line with the teaching characteristics of colleges and universities. finally, from the theoretical and technical aspects, a learning environment based on cloud computing technology has been established, which provides support and guarantee for the reform of basic information teaching in colleges and universities.
Pose measurement and ground validation Based on lidar in-orbit
Authors: Lin TingTing , Li Ronghua , Yang Youqing , Li Heng 
Published: June 2020

Abstract
An effective ground validation method is proposed to solve the difficult problem of non-cooperative target position measurement in-orbit verification. First of all, this paper highlights the effectiveness of a light fuzzy target point cloud model visible part judgment method to search. Secondly, laser reflection intensity is used to realize the point cloud registration process, not only the influencing factors of the space radiation source to the image, but also the incident angle imaging quantitative analysis. Finally, points cloud precise registration is achieved according to the iterative algorithm. This method realizes the ground verification work of the robustness, real-time performance of the position, attitude measurement algorithm, and shortens the study cycle of the future on-orbit control task.