bluuebunny/crossref_metadata_2025_split huggingface dataset:
A decomposition algorithm to solve dynamic city-scale ridesharing problem
Authors: Wang H , Wu W X , Qin L N 
Published: May 2020

Abstract
This paper proposes a computational efficient, rapid, dynamic ridesharing algorithm. Firstly, a designed pre-processing procedure reduces size of the input date of potential nodes for vehicle to pass through. The proposed decomposition algorithm decomposes the large-scale problem with pre-processing date into independent sub-problems, and the method of parallel computing is adopted to solve the sub-problems. We call the dynamic programming algorithm to deal with the vehicle routing problem involved in sub-problems. Greedy random adaptive search algorithm is compared with the decomposition algorithm to verify the algorithm. Finally, a mathematical example shows that the algorithm can effectively solve large-scale dynamic ridesharing problems.
Finite Element Analysis of Stress Distribution Characteristics of Vehicle Retreaded Tire Composite Layer
Authors: Qiang Wang , Li Jiang , Yunlong Wang , Xiaojie Qi , Guotian Wang 
Published: May 2020

Abstract
In order to further reveal the failure and damage mechanism of retreaded tires in use, such as tread delamination and pressure burst, we constructed a retreaded tire material distribution model, a stress constraint model for each layer, and a finite element model. Stress distribution characteristics of the tread, breaker, belt, carcass, sidewall, toe rubber, etc. under free condition and static grounding condition were analyzed by numerical simulation, and the following main conclusions were obtained: Under the free-inflation condition, the tire carcass of the retreaded tire is subjected to the most stress, the belt is next to it, the breaker and the tread are the least, and the stress on the tread and tire shoulder is relatively great. Under the static grounding condition, the belt of the retreaded tire of a vehicle is subjected to the most stress, the carcass next to it, the stress distributions of the belt and the carcass are similar, and the stress on the tread and the breaker is relatively small.
A power shift electro-hydraulic-controlled system of a seven-speed automatic transmission designed by the logic method
Authors: Fan Yi 
Published: May 2020

Abstract
Aiming at a self-designed seven-speed planetary gear automatic transmission, the electro-hydraulic-controlled system of power shift is designed by logic method. First of all, according to the transmission diagrams and the working condition of each gear shift element, design the connection condition of the shift valves of each forward gears and the reverse gear in turn, and write out the corresponding logical equations. Then, on this basis, carry out the interlock and failure analysis, and complete the diagram of the power shift electro-hydraulic-controlled system. Finally, according to the designed electro-hydraulic-controlled system and shift valve control status table, logical equations are verified. The results show that the function of the system is realized by using the logic combination of six two-position three-way electro-hydraulic-controlled shift valves and one manual control valve, and the design of the power shift electro-hydraulic-controlled system can be carried out clearly, efficiently and accurately.
Discussion on construction technology of Deep Foundation Pit Support in Construction Engineering
Authors: Feng Zhengwei , Shen Yaohui 
Published: May 2020

Abstract
With the expansion of the construction scale of urban building basement, the technical requirements of excavation and support of deep foundation pit are higher. Based on an engineering example, this paper expounds the construction scheme of deep foundation pit excavation and support in a residential area project. It introduces the construction methods of soil nailing wall support in the north side of the foundation pit, retaining row pile support in the east side and inter pile wall engineering construction. It analyzes the method of controlling measurement error in the process of steel casing burying, and the technical problem that the reinforcement cage does not jam in the process of large diameter long pile construction. In this paper, the key points of quality control in the construction of deep foundation pit support are discussed and summarized to ensure the smooth progress of the project. The research results provide references for other similar projects.
Fraud Analysis Using Machine Learning Algorithms
Authors: Qin Molei 
Published: May 2020

Abstract
In the previous studies done by others, the methods of picking abnormal numbers and data have been developed. This paper will focus on using machine-learning method to find abnormal value. Machine learning has been applied in all kinds of fields, including picture identifying and regression which is widely used in finding anomaly. The author finds some of the anomalies during the investigation and the fraud detection rate is higher than 80 percent. This paper not only aims at using traditional way of finding abnormal value, but also aims at using the modern computer science to deal with huge amount of data. Traditionally, when it comes to the topic of finding anomalies, people tend to think about t-checking or f-checking[1,2], which shares the same limitation that the target has to be fixed when being measured. However, a more realistic problem is that the target and the measuring environment is always changing. To fix the problem, this paper uses machine learning to do regressions of the environment and the target. Not only can it help us find the relationship between our target and ‘environment’, but also it can be written into computer elegantly so that it could be able to deal with huge mount of data.
Mapping Big Data and Artificial Intelligence in arts and humanities across time: an exploratory scientometric analysis based on the WoS database
Authors: Xu Zhichao , Feng Yuan , Liao Han-Teng , Jiang Xiaolin 
Published: May 2020

Abstract
The ways in which artificial intelligence (AI) and Big Data shape the work and the role of artists and humanities scholars have been at the forefront discussions among advanced universities and institutions, including examples such as computer-generated artwork, ethics, and philosophy, etc. With the aim to systematically review the related literature in arts and humanities, it is important to examine the discipline dynamics across time, thereby exploring both historical and current status. Based on the bibliographic data of 2,707 articles collected from Web of Science from 1956 to 2020, this paper has identified main disciplines and publications across three time periods, using various clustering and visualization methods. Based on the analytical and visualization findings, this article provides both a roadmap and data processes for artists, researchers, and policy-makers to understand how AI and Big Data have been discussed in arts and humanities disciplines.
Comparison of Machine Learning Models for Sentimental Analysis of Hotel Reviews
Authors: Li Xiaoyu , Liu Cai 
Published: May 2020

Abstract
It is widely acknowledged that the enormous boost of Internet technology has greatly changed tourism industry, especially for hotel booking. A plenty of research have addressed that most tourists do decision-making based on online hotel reviews. With the goal of predicting satisfaction of hotel customers precisely and efficiently, in this study ten thousand hotel reviews across US with one to five stars are collected from TripAdvisor, and the performance of a variety of machine learning models, namely Logistic Regression, Naive Bayesian, Decision Tree, Random Forest, Support Vector Machine (SVM) and Neural Network, are compared through two 10-folder-cross-validation experiments. The result indicates that models directly trained on review titles which have only 25.7 byte lengths on average could achieve promising classification accuracies ranging from 84% to 87%, and with review contents and irrelevant word filtering, the SVM model is able to reach maximal predictive accuracy nearly 92%. Furthermore, this paper demonstrates that classical machine learning models, such as SVM and Naive Bayesian, are computationally efficient and perform well in terms of accuracy, recall and precision, while neural network requires careful structure design as well as parameter tuning.
Business Model, Lock-in Effect and Network Effect of Virtual Community
Authors: Chang Shih-Feng , Wu Guo-An , Liu Jia 
Published: May 2020

Abstract
As progress of era and technology and development of internet, many firms make big change which occurring on communication and interaction among people differing from before. Especially in recent years, virtual community which has characteristics of social networking services appears and grows up, and it make the related topics of network effect more and more attraction between academics and industry. In other words, social network which has multiple functions can fully utilize the powers of these new and popular virtual community to prototype and develop rapidly on internet, even more, to make general interest users to expand human network, interact and exchange information through these internet tools. In view of this, we take Facebook, MySpace, YouTube, Flickr, Twitter, Plurk, Wretch and PTT as research subjects, through qualitative analysis, and finally we discover significant relationships among business model, lock-in effect and network effect.
The possibility of evolution from non-strategic risk to strategic risk: The role of strategic assets
Authors: Chen Daoping 
Published: May 2020

AbstractIt is of great importance for the survival and development of an enterprise to effectively manage the risks based on the strategy. On the basis of combing the relevant literature, this paper redefines strategic risk and non-strategic risk, discusses the measurement of the possibility of non-strategic risk evolving into strategic risk by introducing strategic assets, and puts forward the opportune moment of management for strategic risk. The study suggests that strategic assets play an important role in the evolution of non-strategic risk into strategic risk. In order to improve the effectiveness of management, enterprises should start strategic risk management when the risk is still non-strategic rather than has evolved into strategic risk. Big data analysis method and artificial intelligence technology can help enterprises calculate the probability of non-strategic risk evolving into strategic risk and grasp the opportunity of strategic risk management.
Research on the Construction and Application of Knowledge Graph in Military Domain
Authors: Xing Meng , Yang Chao-Hong , Jin Li-Ya , Bi Jian-Quan 
Published: May 2020

Abstract
Construction of military domain knowledge graph is the foundation of military application intelligence development, current research hotspots and development situation of domain knowledge graph at home and abroad are introduced, application scenarios of military domain knowledge graph is given in the state of peacetime and wartime respectively, points out the problems needing attention and corresponding countermeasures in each life cycle.
Current Research in Powder Mixed Electric Discharge Machining: A Review
Authors: Chaudhari Sachin S , Nikalje A M , Chaudhari G E 
Published: May 2020

Abstract
Electric Discharge Machining (EDM) is a recognized and commonly used non-conventional machining method for the manufacture of complicated shapes and the processing of particularly hard materials, which are very difficult to machine by any standard machining processes. In this process, there is no direct contact between the electrode and the work-piece, this non-contact machining technique is constantly rising from the press tool and dies the process creation Process for apps for micro-level machining. In the latest decades, several researchers have focused on enhancing machining process capability such as enhanced rates of material removal with improved surface topography. Powder mixed electrical discharge machining (PMEDM) may be a newly developed technique for improving the EDM process capabilities of the EDM process in this trend. In this paper, a broad history, mechanism of PWEDM method, and literature review are presented.
Effect of Aluminium oxide Nano filler in Tetrafluoroethane (R-134a) Refrigerant
Authors: Ambhore Dhairysheel , Tiwari Akash , Patel Ujval , Patil Jishnu , Ramachandran M. 
Published: May 2020

Abstract
In today’s world, refrigeration plays an important role to satisfy human needs. People are doing several researches to enhance the performance of Refrigeration systems. Aiming to improve the characteristics of the old refrigerants by introducing nano particles in it, nano refrigerant is a process of combination of nano particle with the refrigerant for the sake of better refrigeration process. To study the thermal conductivity and viscosity at different volume concentration, this paper presents a review on mechanism for improvement in VCRS performance by using Nano refrigerants. We are using eco-friendly refrigerant that is R134a and nano particle Al2O3, comparing coefficient of performance (COP) of pure refrigerant and Nano refrigerant. In general, with the increment of nanoparticle concentration the viscosity is increased and instantaneous enhancement of thermo physical properties such as thermal conductivity is seen. The viscosity of Nano refrigerant has been influenced by the viscosity of the conventional refrigerant.
Development of CNC Micro-milled Leaf-Pattern Micro-channel Heat Sink (LP-MCHS) and Testing Using Nanofluids
Authors: Itankar S R , Mohite S S , Gaikwad V P , Parmar H 
Published: May 2020

AbstractMicro-channel heat sinks (MCHS) have attracted the attention of researchers because of their compact design and wide range of applications. MCHS is mostly used to dissipate heat where large amount of heat is generated in a confined space. In this work, leaf pattern MCHS is fabricated on pure copper block by micro-milling on CNC machining center and is tested for its thermal performance and fluid flow behaviour using pure water as well as various nanofluids such as Copper Oxide(CuO), Aluminium Oxide(Al2O3)and Silicon Oxide(SiO2). The volume concentration of nanofluids was kept constant, i.e., 0.3% volume fraction and the experiments were carried out for heat flux ranging from 65 W/cm2 to 200 W/cm2 and flow rate from 100 ml/min to 900 ml/min. The results of experiments indicate that these nanofluids, as a working fluid, enhance the heat transfer by 35% and Nusselt Number by up to 37%, however, increases the pressure drop by 18% which increases the pumping power. From the performance evaluation analysis, it was found that the SiO2 nanofluid with leaf pattern MCHS gives optimal performance.
Computational Fluid Dynamics Analysis of a Class Room for Effective Utilization of Position of Air Conditioning System
Authors: Mogra Ashish , Pandey Pankaj Kumar , Gupta Krishna Kumar 
Published: May 2020

AbstractThe productivity of an individual person affected to a great extent by indoor quality of air and the condition of thermal comfort. Students as well as professors spend almost half of their day in classrooms; hence the distribution of air flow from the air-conditioning systems plays a crucial role in determining whether the students will receive the proper velocity and temperature of air upto the comfortable accepted range. In present paper a Computational Fluid Dynamic (CFD) simulation is performed on the overhead air-conditioning system of a classroom. A CFD model has been developed for position of air conditioner in class room. Originally the position of air conditioner is centrally located. A comparison has been made in between two model placed centrally and proposed diagonally position. It is found the better air flow distribution when air conditioner is placed diagonally.
Experimental Investigation of Effect of Preheating of Air and Exhaust Gas Recirculation on Four Stroke Diesel Engine
Authors: Thakar Ram , Bhosle Santosh , Lahane Subhash 
Published: May 2020

Abstract
This paper is concerned with means for heating the inlet air passed to the cylinder by using specifically designed and manufactured heat exchanger and also use of exhaust gas recirculation to investigate its effect on performance, combustion and emission characteristics of four stroke single cylinder diesel engine. A diesel engine having a cylinder, 3.5 KW power, constant speed of 1500 RPM, water cooled, Kirloskar make, diesel engine was selected as base engine and the experiments were conducted at part load and full load conditions. The diesel engine setup was modified with (i) incorporation of heat exchanger which was designed on the basis of availability of waste heat at the engine exhaust for preheating of air and (ii) exhaust gas recirculation for waste heat recovery and reduction in the NOx. The Experiments were conducted for six setups viz. i. Basic diesel engine setup ii. Basic diesel engine setup with 6 % EGR iii. Basic diesel engine setup with 12 % EGR iv. Modified setup with heat exchanger v. Modified setup with heat exchanger and 6% EGR and vi. Modified setup with heat exchanger and 12% EGR. The experimental results obtained with modified engine setup with use of heat exchanger and EGR. The results obtained indicate thermal efficiency is decreased with heat exchanger and 12 % EGR compared to base diesel with 12% EGR. The volumetric efficiency is decreased from base diesel by 16.87 % with heat exchanger and 6% EGR at 75% load. The NOx emission is increased with increase in load for all the configurations.
Investigation of material removal rate on Ti-6Al-4V super alloy
Authors: Sharma Kaustab , Goyal Ashish , Sharma Ashok Kumar 
Published: May 2020

Abstract
The machining of hard material is a challenging task by the conventional machining process. The present experimental study on machining of titanium alloy by the Wire cur electric discharge machining process (WEDM). Experimental has been performed by using the pulse on- time, pulse off-time, peak current, servo voltage and wire tension as input parameters and effect of these input parameters identified on the material removal rate. The design of experimental methodology has used to perform the experiment. Total 27 experiments were performed to identify the optimum material removal rate. The analysis of variance has also applied to process parameters to investigate the significant and non-significant parameters. The experimental results show that the peak current and wire tension has the most significant parameters to influence the material removal rate.
Mapping & Analyzing Mechanical Properties of Dental Restorations with Product Composition
Authors: Sonwane Savita Ranba , Ramachandran M. 
Published: May 2020

Abstract
This study compares the compressive strength, flexural strength and micro-hardness of three types of dental composite materials {Nano-filled, Nano-hybrid, Micro-hybrid} by respective filler fraction-composition. SEM, EDS technique is used for analysis of obtained results. These days, dental restorations play a very vital role considering the dental health. Esthetically, reliably composite resins are much more superior to ancient tooth filling materials. Hence it is necessity of today’s research is to study and map the mechanical properties of different brands of composite resins and hence provide fruitful results to doctors utilizing these dental composites for satisfactory results. By this, research will be beneficiary to the society. The findings of this study indicates that for Compressive strength, Brilliant NG < Tetric N Ceram < Polofil NHT <Z 350 < Charisma. Flexural Strength, Brilliant NG < Tetric N Ceram < Charisma < Z 350 < Polofil NHT. Micro- hardness, Charisma < Tetric N Ceram < < Z 350 < Brilliant NG < Polofil NHT. In other words, Micro-hybrid- Have highest compressive strength than Nano-filled and Nano-hybrid. Nano- Hybrid- Highest flexural strength & micro-hardness than Nano-filled and Micro-hybrid.
Numerical analysis of microwave heating: Fundamentals and applications
Authors: Loharkar P K , Ingle A 
Published: May 2020

Abstract
In recent years, microwave-assisted materials processing applications are on the rise in terms of novel processes being developed and increased coverage of materials that can be processed. In general, the studies have been of experimental nature. Since microwave heating has extensive application in food processing at an industrial scale, literature on the research involving numerical studies is available in this domain. It is primarily focussed on determination of the distribution of temperature and the rate of heating of a food sample. The evolution in materials processing applications using microwaves has paved the way for exploring numerical analysis to predict and control the response parameters required for efficient material processing. This paper presents the theoretical background of electromagnetic wave propagation along with the heat transfer mechanism required in the numerical studies of microwave heating. The steps for this multiphysics-based numerical analysis are also discussed. An account of the state of microwave heating simulation research is presented as well. The unpredictability of microwave heating mechanisms coupled with fast-developing novel applications makes microwave heating simulation quite challenging. In addition, the merits of such numerical analysis present a case for extensive future research.
Quantification of the phase fraction in multiphase steel and 2D design using mini CNC plotter
Authors: Sarkar Bikram , Khan Asif Iqbal , Rana Amit Kumar , Kundu Sanjib 
Published: May 2020

Abstract
This present experimental setup is about designing a low cost three axis Mini CNC plotter using stepper motor, Arduino microcontroller and motor control software. This present experimental plotter deals with a low cost CNC plotter which can be further modified into small - medium size or an open structure as per the requirement. The demand for Computer Numerical Control (CNC) plotter machines in educational institutions and laboratories are rapidly rising with the advancement of technology. Current investigation will present an affordable model of a CNC plotter machine which is able to draw different microstructural phase fraction identification layout for further FE analysis of multiphase steel, automotive layout and any other solid surface using simple algorithm. First of all, image file or text file is converted into G code using Inkscape software and then feed it to the machine using processing software. The microcontroller converts G-code into a set of machine language instruction to be sent to the motor driver of the CNC plotter. L293D Motor Shield accordingly instructs the stepper motor how to move, combine, and synchronize motions of stepper motor ends in a good image.