bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Hotspots of Smart Education in China: Base on the Bibliometric Analysis and Knowledge Mapping
Authors: Wang HaiBin , Chen Qian , Hong Aoyuan , Wang Xiaoyan , Hou Ziyi , Cheng Lin 
Published: May 2020

Abstract
To explore the hotspots in the area of Smart education in China, 245 related articles form the China National Knowledge Infrastructure (CKNI) were analyzed by the visualization software of CiteSpace. The results show that: (1) the studies of smart education began in 2003 while there were sporadic papers published in the next ten years. There was an increasing trend year by year from 2013 to 2017 and the number of articles reached the historical peak in 2017 with 52 articles. Xianming Yang, Jiangsu Normal University and E-Education Research topped the lists of contributing authors, organizations and publications respectively. (2) “smart education”, “educational informationization”, “intelligent education” and “smart campus” were the top four largest clusters in the domain of smart education in China.
Exploring the cross-disciplinary collaboration: a scientometric analysis of social science research related to Artificial Intelligence and Big Data application
Authors: Liao Han-Teng , Wang Zijia , Liu Yu 
Published: May 2020

Abstract
Given the significant impacts of Big Data and Artificial Intelligence (AI) on the planet and people, it is important for researchers from all disciplines to pay attention to the social, economic and policy needs and challenges with its applications. With the aim to provide a systematic review of social science literatures on the topic, this article has summarized the annual trends since 1962, main research disciplines and publication outlets based on a scientometric analysis of 10,229 articles collected from the WoS database. The research findings show that disciplines/areas such as management and psychology have been constantly engaging the Big Data and AI, whereas new emerging disciplines/areas such as interdisciplinary social sciences and geography have experienced exponential growth in recent years. Both the application and critiques of Big Data and AI have been published in various new journals such as Big Data & Society, Value in Health, etc. The article therefore provides essential groundwork for understanding and contextualizing the Big Data and AI applications, so that researchers, funding bodies, policy-makers and industry professionals can enhance cross-disciplinary collaboration.
Analysing Gender Bias in IMDB Films Based on Social Networks
Authors: Chen Jiayuan , Cui Minglu 
Published: May 2020

Abstract
The film industry has a major impact on society. This paper focuses on the gender bias in films. First, the social network analysis (SNA) method is used to construct a movie social network from the online movie dataset IMDb. By analysing these social network data, natural language processing methods are used to analyse movie titles, movie subtitles and casts. Then, this paper constructs a film gender bias classifier. Because the online movie data set IMDb lacks large-scale manual annotation data, and the classifier using traditional deep learning is prone to over-fitting, so this paper proposes a movie gender based on dual learning. The bias feature extractor and classifier enable training of the deep learning model from a small amount of annotated data and classify the bias. Finally, we find that women’s roles in the film have improved in all aspects, including the central role of female characters.
Review on Application of Binocular Vision Technology in Field Obstacle Detection
Authors: Wang Qiao , Meng Zhijun , Liu Hui 
Published: May 2020

Abstract
Obstacles within the field are the main external source of safety hazard in field operation of agricultural machineries. Autonomous obstacle avoidance is a critical technology to be solved for the robotization of field operation by agricultural machineries. For this technology, a critical premise is to timely and accurately perceive static and dynamic information of field obstacles. Firstly, this paper describes main detection parameters of field obstacles. Whereafter, by compared with other detection technologies, applicability of binocular vision-based detection technology in field obstacle detection is analyzed. Afterwards, this paper summarizes the whole process of binocular vision-based obstacle detection into three steps. For step one, main detecting methods for locating obstacles in images, main principles of these methods and their applicability in field operation scene are discussed. For step two, main existing methods for detecting spatial position parameters of obstacles based on detection results of step one and their application status in field operation scene are summarized. For step three, typical target tracking methods for obtaining the motion state of obstacles are compared and summarized, and their reference value for future research is pointed out. At last, the main challenges of detecting obstacles in field scene based on binocular vision are summarized.
A Novel Fuzzy Evaluation Method on Teaching Quality of College English based on Preference Selection Index
Authors: Liu Guojiaozi , Cai Qing , Ren Haiping 
Published: May 2020

Abstract
The evaluation of teaching quality is an important part of the quality management of teaching in colleges and universities. Many evaluation systems exist shortcomings, which are not suitable for the evaluation of English class. Because English subject has its own characteristics, in which the evaluation subject taken on students is more suitable than on teachers. This paper will propose a college English evaluation index system on the basis of students as the evaluation subject. Since the evaluation indicators are mainly qualitative indicators, which makes the evaluation value fuzzy, this paper proposes a new evaluation method of college English classroom teaching evaluation based on linguistic terms, triangular fuzzy numbers and preference selection index method. Finally, an algorithm case is analyzed to illustrate the effectiveness and feasibility of the proposed method.
Towards the eco-design of Artificial Intelligence and Big Data applications: a bibliometric analysis of related research
Authors: Wang Zijia , Liao Han-Teng 
Published: May 2020

Abstract
Given the impacts of information and communications technologies on the planet and people, researchers from all disciplines need to pay attention to the environmental footprints and sustainable opportunities associated with the Artificial Intelligence (AI) and Big Data applications. In order to provide a preliminary discussion on the eco-design of AI and Big Data applications, the paper aims to map out the sources and topics to explore (1) the intersections of eco-design with AI and Big Data, and (2) the sustainable and eco-friendly design. Based on a bibliometric analysis of 236 articles gathered from the Web of Science (WoS) database, the paper has identified main research topics, publication outlets, research fronts, and intellectual bases and explored their inter-relationship and grouping. The leading application disciplines include construction & building technology, automation & control system, computer & information science, and business & economics. Multi-disciplinary and inter-disciplinary journals such as Sustainability, Journal of Cleaner Production, and Sustainable Cities and Society have been proven to be more receptive to such eco-design research outputs. As the notion of eco-design of AI and Big Data applications is expected to be pertinent and relevant for designing greener strategies, products and services for green digital transformation, we argue that more concerted efforts must be made to advance both the theoretical and empirical research on the nascent topic among researchers, funding bodies, policy-makers and industry professionals.
Analysis on the Economic Development and Innovation Path of Tourism Cultural and Creative Industry Based on Big Data Statistics
Authors: Wu Ke 
Published: May 2020

Abstract
As Computer Internet improves by leaps and bounds, human beings have been in an era full of data and information. Various efficient and advanced management software has filled every aspect of human life, and the rapid growth of it is more and more suitable for people’s travel and lifestyle. As an information-intensive industry, tourism cultural and creative industry is naturally integrated with information technology. Therefore, the use of big data on the Internet has triggered two revolutions as the core. All of this have profoundly changed the mode of running, management and operation, and play a vital role in the development of such enterprises.
Applications and challenges of arc welding methods in dissimilar metal joining
Authors: Chaudhari R , Loharkar P K , Ingle A 
Published: May 2020

Abstract
Dissimilar metal welding is a significant metal joining process with an extensive application in industrial domain. The quality of the welded joint is of critical importance in these applications and quite an issue since the base metals are different primarily due to different physical, chemical and mechanical characteristics. In this paper, the challenges encountered in dissimilar metal joining are enlisted with a brief discussion on the corresponding causes. As discussed in the literature, several methods exist to form dissimilar joints. However, arc-based fusion methods are prominently used. Therefore, an overview of these methods is presented along with the applications in which these methods have been used. The study provides a brief account of the materials that have been successfully joined using these methods and the influence of significant parameters including filler materials on the effectiveness of dissimilar joining.
Carbon Fibre Reinforced Composite Material: Review of Properties and Processing for various Metal Matrix Materials
Authors: Sandhanshiv Rahul D. , Patel D. M. 
Published: May 2020

AbstractCarbon Fibres (CF) are used as a reinforcing material from past few decades. Carbon Fibres are reinforced in Metal matrix composites (MMC), Ceramic matrix composites (CMC) & polymer matrix composites (PMC). Numerous Research work was done on Carbon Fiber Reinforced Polymer Composites (CFRP), but Carbon Fiber Reinforced Metal Matrix Composites (CFMMC) & Carbon Fiber Reinforced Ceramic Matrix Composites (CF-CMC) have wide scope to explore. This Paper reviews effect of Carbon Fibre reinforcement on Mechanical, Tribological and Morphological Properties of various Metal Matrix Materials. This paper also presents various processing techniques of Carbon Fibre Reinforced Composite Material.
Effect of fire retardancy materials in fibre reinforced composite plate for false ceilings- A Review
Authors: Rawal Shannay , Ramachandran M. 
Published: May 2020

Abstract
The use of fillers in composite material development and manufacturing has been in commercial use for decades. These fillers induce and/or enhance desirable characteristics in the composite matrix. Flammability is a major deterrent contributing to the reduced scope of utility of completely biodegradable composites. The ability of any material to act as a flame retardant is influenced not only by explicit factors such as the material’s melting temperature and thermal degradation factor, but also by various implicit factors such as the multiple transformations taking place in the material and the compounds that are generated due to the material’s exposure to elevated temperatures. The paper studies and compares the mechanism of fire retardancy of four popular fillers and aims to determine their effectiveness in introducing fire retardancy in biodegradable false ceiling materials. The results show that the properties of fire retardancy can be measured in terms of heat release rates, limiting oxygen indexes and thermogravimetric analyses. Final comments are on the testing standards used to check fire retardancy
Friction Stir Welding Processing, Materials and its Applications.
Authors: shimpi Rajendra , Sandesh Kumar Cheruku , katarane Rajnish 
Published: May 2020

Abstract
Friction stir welding (FSW) is solid state welding process for joining the two similar or dissimilar materials. Friction stir welding process is alternative joining process for thin plates and pipes. In this process non consumable tool is used to join two work faces by friction. FSW process is energy efficient and environment friendly process. In this paper summery of research work done by researchers for Friction stir welding process is presented. The aftermath of this work is to elaborate the overview of numerical analysis and overview of process parameters like tool tip angle, Tool geometry; Tool and joint Materials and Joint design. FSW process can be used for joining different materials. In current research the materials used for experimentation by different researches and its applications are summarized. All the vital factors are covered here for making the process for improvement of effectiveness/cost reduction. After refining all the process, researcher has found a scope in joining the different / alternative joining process, in different sectors.
Finite Element Analysis for Time Varying Mesh Stiffness behavior of different shapes of spalling
Authors: Lodwal Akhilesh , Tiwari Ashesh 
Published: May 2020

Abstract
Time Varying gear mesh stiffness is the variation of stiffness for the one contact period of a gear pair. Spalling on gear tooth is one of the most common defects in gear transmission. The loss of surface materials due to tooth spall reduces the Time-Varying Mesh Stiffness (TVMS) of the gear pair. The time varying mesh stiffness is the change in mesh stiffness for a gear pair in one contact period. The evaluation of the TVMS of the pair of gear tooth under gear tooth spalling conditions may be useful in finding its dynamic behavior or instant change in TVMS behavior may be the signal of fault developed. The potential energy method is used for analytical calculation of time varying mesh stiffness of the gear. The tooth spall may be of any shape and in this paper we have assumed the spall to be circular, triangular and elliptical and conducted analytical calculation to find TVMS and compare with healthy gear pair. The same gear pair with three shape of spall and modelled and verified through finite element analysis. The data may be used for further analysis. Also a number of shape may be modelled in future.
Modal and frequency response characteristics of vehicle suspension system using full car model
Authors: Sharma Sanjay , Chouksey Manoj , Pare Vinod , Jain Pranay 
Published: May 2020

Abstract
This paper involves simulated studies of a vehicle suspension system for modal and frequency response characteristics. Ride comfort and car handling are two important considerations for finalizing the design of the vehicle suspension. However, both of these are conflicting to each other. Ride comfort and car handling depend on dynamic characteristics of the vehicle (i.e. natural frequencies, mode shapes, frequency response functions etc.) too among other parameters. Hence it is very important to carry out modal examination of the vehicle suspension system to find out the natural characteristics of the system. The same has been attempted in this work using full car model having seven degree of freedoms. The degrees of freedom include pitching, bouncing and rolling motion along with motion of the un-sprung masses. The software tools namely ANSYS Workbench, MATLAB, and SIMULINK environment has been employed to discover the system’s modal and frequency response features. The vehicle’s natural frequencies and mode shapes were evaluated and bode plots are drawn to explore the system’s frequency response features. The results produced in different software tools have also been compared and discovered to be in close agreement with the results present in the literature.
Investigation of tribological behaviour of 88WC-12Co coating
Authors: Rakhecha S , Pare V , Tiwari S , Yadav G 
Published: May 2020

Abstract
High velocity oxy-fuel (HVOF) is a coating technique of thermal spray process usually employed for protecting the substrate, where high velocity is used instead of high temperature for coating the substrate. In this paper, the wear behaviour of tungsten carbide-cobalt (88WC-12Co) coating was studied experimentally. The coating of 0.3 mm was deposited by HVOF technique on SS202 substrate. The dry abrasive wear experiments were carried out using pin-on-disc test rig at fixed sliding velocity 0.603 m/s, and 20, 40, 60 N load for 1000 m distance. The weight loss was measured at each 250 m distance. For the preparation of abrasive surface 80 grit SiC (silicon carbide) emery paper was used. Results show that at initial stage wear rate of coated substrate was high which reduces with increase in sliding distance and linear increment in coefficient of friction with increase in load.
To Evaluate the Optimum Parameters in Vehicle Chassis Model Vibrations
Authors: Ahirrao Nilesh , Bhosle Santosh 
Published: May 2020

Abstract
New designs and ideas are always evolving in automobile industries. Along with these, there are many aspects and complexities faced in controlling noise and vibrations in vehicles. Due to uneven roads, vibrations are generated which in turn degrades not only vehicle performance but also passenger comfort. Accidents are undoubtedly the most dangerous which may cause damage to human lives. Proper material selection of vehicle chassis is essential for reducing vibrations and increasing the safety. Wheelbase and the track dimension also influencing the performance of the vehicle while running on the roads. Road roughness is the key factor which may lead to the unnecessary vibrations that may harm the riders or passengers comfort and vehicle accuracy as well. Different techniques are commonly used to reduce such undesired vibrations. This paper describes a study of chassis transient vibrations and response with different materials for different damping properties. The behaviour of vehicle chassis under vibrations is observed through modelling in these conditions with different parameters. The aim of the presented paper is to show the effect of different computational techniques on designing a vehicle along with Taguchi’s method for optimizing the parameters.
Stress Concentration Factor for Jute Fibre Reinforced PLA Composite Plate with Circular Cut-out and its Effect on Coconut Shell Powder
Authors: Ramachandran M , Modi B. A. 
Published: May 2020

Abstract
In strictly engineering terms, the design of machine elements is focused reasonably on the regions where stress concentration occurs. Plates having holes are a practical requirement in various aeronautical, marine, naval, mechanical and civil arrangements. In many aerospace and naval machine components these kinds of holes are provided to reduce the overall weight of the assembly and to lay electrical and fuel lines. These two parameters were then used in the modified ANSYS, virtual crack closure technique to obtain the stress intensity factors. Very good Pressure vessel. Agreement between the finite element stresses and the theoretical stresses is seen. The intend of this work was to analyse stress concentration factor of Jute fibre reinforced PLA composite plate with circular cut-out and compare it with addition of coconut shell powder. The Ansys 2019 R2 Finite Element Analysis software was used to get the stress analysis of the composite plate. The shell 281 elements were used in meshing the models and this was due to their regular agreement around the circular cut-out that enabled the nodal displacements to be obtained at a constant distance from the circular cut-out. From the Ansys analysis, it is clearly evidenced that addition of CSP decreases the stress concentration factor
The effect of Ni doping on the electrical and magnetic properties of Y1-xNixBa2Cu3O7−δ delta superconductors
Authors: Hadi-Sichani B , Shakeripour H , Salamati H 
Published: May 2020

Abstract
The Y1-xNixBa2Cu3O7-δ
superconducting samples with low level of Ni concentration were prepared by the standard solid-state reaction. The AC susceptibility, magnetoresistivity, microstructure and the critical current density, Jc, of samples as a function of temperature, magnetic field and Ni doping are investigated. The AC susceptibility measurements show that the displacement of the peak temperature T
p of the imaginary part of the susceptibility χ″ versus magnetic field was reduced strongly by Ni doping up to an optimum level, which shows the increasing of flux pinning by Ni doping. The Jc of samples was derived from AC susceptibility utilizing the Bean model. It shows an increasing in Jc by Ni doping, at any temperature or magnetic field, consistent with the results of Jc measurements. The magnetoresistance measurements were carried out under magnetic fields up to 1 T and explained by TAFC model. Utilizing this model, the vortex dynamic behaviour and the activation energy U (H) of the compound are investigated. We found that the U (H) increases and the resistive broadening is strongly reduced by Ni doping. The SEM measurements show that the grain sizes are clearly increased and the grain connections are improved by Ni doping. The results of all the observations taken from different measurements are consistent together and indicate the Ni doping has an effective role to improve the intergranular coupling and flux pinning.
Prostatic abscess: an unusual cause of delirium associated with lower urinary tract symptoms
Authors: Pawsey Alexander , Calleja Jonathan , Clarke Nicholas 
Published: May 2020

Abstract
Our case describes an 80-year-old gentleman who presented with delirium and lower urinary tract symptoms. Initially treated for a urinary tract infection, he became more unwell with features of physiological decompensation secondary to sepsis. A computerized tomography scan was performed in light of the findings of suprapubic tenderness, which on examination revealed a prostatic abscess. On discussion with urology and microbiology colleagues a plan for antibiotics was constructed and the gentleman recovered without the need for invasive interventions. Our case goes on to discuss the merits of imaging for the elderly care physician when the diagnosis is not clear or when the clinical picture is of deterioration despite optimal medical care.