bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling and optimizing the bus operation based on the bus app
Authors: Xu Kunmiao , Cui Shanshan , Zhou Peng 
Published: October 2020

Abstract
Bus congestion is a common phenomenon in the process of bus operation, which will worsen bus service to a certain extent and further affect residents’ travel choice. To cope with this problem, this paper proposed a new passenger arrival model taking into account the usage of bus app, which represents the dynamic passenger arrival distribution and where bus capacity constraints are explicitly considered. First, a bus propagation model was developed to carry out theoretical analysis of the bus bunching problem. Afterwards, the new passenger arrival rule, namely, triangular passenger arrival rule, was obtained by fitting the researching data of the passengers who used “bus is coming” app. Finally, under this law of arrival, a new enhanced bus propagation model was developed. By comparing the simulated results, we found that the occurrence of bus bunching was reduced dramatically and the operation of the bus was more stable, which indicated the superiority of the triangular passenger arrival rule.
Distribution Route Optimization of Electric Vehicles
Authors: Wang Heng , Ke Hang , Zhao Zhiqiang , Li Wei , Xu Yan 
Published: October 2020

Abstract
From the perspective of low carbon logistics, we take into account the environmental costs caused by the carbon emissions of battery electric vehicles. In addition, according to the customer’s certain requirements for the delivery time during the actual delivery process, this paper introduces the penalty cost of the time window, thus constructing a delivery route optimization model with the goal of minimizing the total delivery cost. Then, this problem is solved by using the Ant Colony Algorithm. Finally, the case design is used for empirical analysis.
Research on induction signal control method of queuing length
Authors: Tian Na , Yin Yuexiu , Liu Liqiang 
Published: October 2020

Abstract
This paper aims at the problems of traditional induction signal control. By comparing the advantages and disadvantages of other timing signal control methods and induction signal control methods, an induction signal control method based on queuing length is proposed. The signal setting method of induction signal control method based on queuing length is analyzed in combination with the characteristics of queue length change and traffic flow. The method presented in this paper is introduced to optimize the length of the green light in the various phases of the previous period, the number of vehicles and the length of the queue, to predict the average head time distance and the queue length of the next cycle, so as to calculate the green light time and the period length of the next cycle of the intersection. At last, VISSIM simulation software is used to compare and analyze the traffic efficiency of induction signal control and traditional induction signal control based on queuing length, and verify the adaptability, feasibility and effectiveness of the scheme.
Mining the Value Characteristics of One-Way Car-Sharing Users Based on Empirical Data
Authors: Mi Xue , Wang Ying-Qi , Xie Dong-Fan 
Published: October 2020

Abstract
Car-sharing has been emergent in many cities all over the world due to the environmental sustainability and the diverse service for users. However, the huge investment and the long payback period hinder the development of car-sharing. To this end, this study attempts to mine the value of car-sharing users in terms of empirical data, aiming to provide suggestions for companies to enhance user management. Based on the order data of a car-sharing company, several indicators are defined. On the basis, the users are divided into three categories, namely high-value users, low-value users and potential users. Furthermore, with the proposed indicators and the personal attributes, a prediction model is developed based on random forest method to predict the category of users in advance. The results show that with the observation period of 7 weeks, the long-term value type of a user can be predicted with accuracy of more than 80%.
Short-term Passenger Flow Prediction for Urban Railway Transit Based on Change-point Model
Authors: Yao Enjian , Chen Chuanyu , Lu Muyang , Zhou Ying 
Published: October 2020

Abstract
For short-term passenger flow in urban railway transit has the characteristics of nonlinear distribution, a combined forecasting model based on variable-point model and neural networks model is proposed. First, the Pettitt method, the optimal segmentation algorithm, the BG segmentation algorithm(BGSA) and the wavelet analysis method are used to detect the change point of the passenger flow sequence at the memorial hall station, identify the change point of the passenger flow curve and divide the interval, and the passenger flow is predicted and verified by using the Multilayer neural network (MLP) and the radial basis function neural network (RBF). The results show that the wavelet analysis-RBF combined model based on change point detection has the root mean square error of 24.20 and the mean absolute percentage error of 3.52%. Compared with the single neural network model, it improves forecasting accuracy.
Analysis on the Development Orientation of the Golden Channel of Passenger Roll Transportation in Qiongzhou Strait under the New Era
Authors: Song Gao 
Published: October 2020

Abstract
Combined with the favorable situation of passenger roll transportation in Qiongzhou Strait in the new era, following the guidance of liner policy and the macro market demand closely, the passenger roll transportation in Qiongzhou Strait is defined as the “golden channel” serving the national economy and people’s livelihood, which is judged as the economic development channel, tourism support channel, agricultural and trade transport channel, residents’ communication channel, green travel channel and combat readiness support channel, and is also committed to promoting the construction of modern, scientific and reasonable comprehensive passenger and cargo transportation channels, to provide high-quality development services for the Qiongzhou Strait water passenger and passenger transportation.
Study on Conservation and Reuse Planning of Tianjin Airport Historic Buildings
Authors: Hong Lv , Yu Wang 
Published: October 2020

Abstract
With the continuous development of Chinese civil aviation industry, the airport construction facilities built in different periods of time have suffered from the dilemma of idle, abandoned or even demolished, so it needs to be protected and utilized from the perspective of industry. Taking the historical buildings of Tianjin Airport as an example, this paper first expounds the development course of Tianjin Airport construction, and then delimits the protection scope and functional partition of the airport historical buildings by means of field survey and textual research, and then the AHP and Delphi method are used to evaluate the comprehensive value of the historic buildings of Tianjin Airport. Finally, according to the evaluation results, it is proposed to apply to the overall protection planning of the historic buildings of Tianjin Airport.
The impact of Beijing-Tianjin-Hebei high-speed rail network on regional tourism and hotel industry
Authors: Bingsong Zhang 
Published: October 2020

Abstract
This paper analyzes the impact of high-speed rail (HSR) on regional tourism from the perspective of per capita hotel consumption and regional hotel industry market power in the Beijing-Tianjin-Hebei region. This paper shows that the construction of HSR is not conducive to the coordinated development of the inter-regional hotel industry, especially when there is a large gap in economic development and tourism competitiveness between the two places, the siphoning effect of HSR will be very obvious. HSR may become a factor that restricting the development of hotel industry in economically backward areas.
Solving Multiple Distribution Center Location Allocation Problem Using K-Means Algorithm and Center of Gravity Method Take Jinjiang District of Chengdu as an example
Authors: Cai Chunling , Luo Yong , Cui Yuehong , Chen Feng 
Published: October 2020

Abstract
In the logistics system, logistics nodes play an important role. The centre-of-gravity method is one of the most basic methods in solving the problem of single facility location. The thesis first uses the K-means clustering algorithm to divide the demand points into k clusters, and the k value is selected by the elbow method. Then, the k clusters are regarded as a single facility location problem and analyzed by the center of gravity method. In practical applications, the discrete model analysis can be cited to further obtain the optimal solution.
Predictive Maintenance using Machine Learning Based Classification Models
Authors: Chazhoor Anisha , Mounika Y , Vergin Raja Sarobin M , Sanjana M V , Yasashvini R 
Published: October 2020

Abstract
Machine learning facilitates predictive maintenance due to the advantages it holds over traditional methods of maintaining semi-conductor devices such as preventive and breakdown maintenance. Several predictive models using machine learning on the Semiconductor Manufacturing process dataset (SECOM) will be applied in this paper. The dataset contains the information related to semiconductor manufacturing process, with the attributes corresponding to signals collected from semiconductor devices. Due to the high-dimensionality of the data and class imbalance problem in the SECOM dataset, it poses several challenges related to data pre-processing, which is an essential step incorporated in this work while applying various machine learning models. Comparison and analysis of various predictive machine learning classification models were carried out based on the performance metrics like, accuracy and Receiver Operating Characteristic (ROC) curve.
Passive flow control strategies for low Reynolds number airfoils
Authors: Rajesh Senthil Kumar T , Kolluri Mohini Priya , Gopal Subramaniyan V R , Sripathi A D 
Published: October 2020

Abstract
This study focuses on ameliorating the aerodynamic performance of an airfoil in low Reynolds number regime by implementing a passive flow control technique to suppress the effects created by the bubble bursting which holds significance in enhancing the aerodynamic performance of SUAVs which fall under this regime. A numerical study is conducted for the flow over E387 airfoil at a Reynolds number 105 to investigate the effects of the implementation of the passive flow control configuration on the laminar separation bubble dynamics. It is noted that orientation, thickness, inlet location, and configuration of the passive flow control passage had imposed significant effects on lift and drag coefficients generated by the airfoil. A significant drag reduction was achieved when the airfoil is implemented with a slot oriented at 30° that has a converging exit which resulted in the rise of the airfoil’s aerodynamic efficiency.
Applications of marketing flexibility in manufacturing and service sectors
Authors: Gopakumar Kavya , Suresh M. 
Published: October 2020

Abstract
Most businesses are now faced with extreme pressures that relate to advances in globalization, rapidly evolving technology, as well as changes in the demands and behaviors of consumers. Marketing flexibility is therefore the key strategy for a business which helps to ensure customer satisfaction, achievement of success, differentiation among the competitors and superior performance under the environmental fluctuations. Unlike the plenty of studies pertaining to manufacturing and operational flexibility, there are only little efforts made to investigate and research on the topic marketing flexibility. Hence the concept of marketing flexibility is relevant for the prevailing situation and moreover it is undoubtedly an important topic for researchers that help in investigating firm performance and the sustainability of competitive advantage. This article presents an extensive study about marketing flexibility and its practical as well as theoretical applications through various approaches.
Optimising the Parameters and Increasing the Hardness of Duplex Stainless Steel by Annealing Process in Valve Manufacturing Industries
Authors: Varun Kumar T. , Karthick K. , Dhanushkaran K. , Jagadeesh D. 
Published: October 2020

Abstract
Duplex stainless steels (DSS) are designed to have a phase assemblage consisting of approximately 50% austenite and 50% ferrite. Such an assemblage makes these materials very attractive by providing an excellent combination of high hardness, toughness, and corrosion resistance. This project discuss about the increasing of hardness in duplex stainless steel (DSS), by suitable annealing process. Increasing of austenite increases the hardness of the material and the increasing of ferrite increases the ductile nature of the material. It is too crucial to obtain the suitable result by suitable match of annealing process. Thus the Design of Experiments were done and heating temperature of 1240°C with a holding time of 4.5hrs and cooled to a temperature of 1043.9°C provides the maximum hardness value of 311.235 BHN.
Optimal design and experimental investigation of the material-nanostability and deformation behaviour of Al-5.78Zn-1.45Cu-2.49 Mg, Al-5.6Zn-2.5Mg-1.6Cu and Al-Mg-0.6Si alloys under cyclic-loading for ultra-precision structural applications
Authors: Sharma Shubham , Singh Jujhar , Aggarwal Vivek , Sharma Shalab , Sharma Abhinav , Narayan Ram 
Published: October 2020

Abstract
This paper presents the design and construction of a new simple test facility for the investigation and testing of the deformation behaviour of material properties, namely plastic monolithic, inelastic, elastic and spring joints under cyclic loadings. Test samples were prepared in various machining directions (orthogonal and longitudinal) of Al-5.78Zn-1.45Cu-2.49 Mg, Al-5.6Zn-2.5Mg-1.6Cu and Al-Mg-0.6Si aluminium alloys. As a pulling force for sample deformation, an electromagnet unit was used. The test load range was between 0.2N to 200N, increased by a programmable factor of 1.1-1.4 for a train time of 900s. Two capacitive sensors and interferometers sensors mounted at different sample locations were used to test the sample deformation with and without loading. In a temperature-stable housing that offers isothermal conditions, the overall measuring machine is integrated. The calculated parameters include plastic and inelastic deformation.
An experimental study of wire breakage frequency on different electrodes during WEDM of Inconel-722
Authors: Aggarwal Vivek , Singh Jujhar , Sharma Shubham , Garg Harish K. , Sharma Abhinav , Singh Gursharan , Parshad Jwala 
Published: October 2020

Abstract
Inconel 722 is a nickel-based superalloy that holds high strength and impervious to oxidation and corrosion at high temperatures. Wire electrical discharge machining (WEDM) was investigated as a superior alternative to conventional machining methods for intricate and complex shapes for materials containing more strength. However, these wire electrodes also undergo breakage during WEDM of Inconel 722 which unquestionably diminishes the efficiency of machining process, and accuracy. Therefore, this work is an effort to investigate and understand the phenomenon of wire breakage in relation to the combination set of Inconel 722 and three wire electrodes which are plain brass-wire, diffused brass-wire and zinc-covered metal wire. An experimental study was carried out to check the effect of six machining parameters viz. Ton, Toff, SV, IP, WF and WT on the frequency of wire breakage. Results demonstrate that zinc-covered metal wire has low breakage recurrence according to all the parameters of the process examined. It has also determined the optimal range of process-parameters under which zinc-coated brass-wire can be used to achieve effective machining.
Employees stress level assessment: a case of apparel industry
Authors: Suresh M. , Yuvaprasanth R. , Arun Ram Nathan R.B. , Amarnath K. 
Published: October 2020

Abstract
The assessments of employees stress level in garment industry gains vital importance to improve the efficacy of employees. Fuzzy methods are more appropriate than the conventional methods for assessment of stress level. The study demonstrates an application of a multi-grade fuzzy approach to measure employees stress level. This is the first time that the employees stress level assessment framework has been developed in the garment industry sector. Through literature review and expert opinions, sub-factors, factors and enablers of employees stress in workplace were identified and a conceptual model was developed. This study suggests that stress level assessment is essential to identify the current stress level of employees in workplace. This would help the garment industries to reduce its stress level further. In this study the stress level was found to be 4.74; which indicated the case company employees stress level is fair. Finally, the high stress sub-factors were identified to point the way for further improvements.
Investigation to Enhance the Performance of Computer Processor Cooling System
Authors: Gayathri Prasad P. , Prasad Chilamkurti L.V.R.S.V. , Santarao K 
Published: October 2020

Abstract
In the recent past, cooling via thermoelectric technology has arisen to be as one of the capable cooling technology which helps in lowering the energy intake in a device. In this study, the performance enhancement of cooling system for the computer processor using thermoelectric cooler is investigated. An open loop cooling system was taken into consideration, where the main parameters are focused on computer load conditions, temperature carried by nanofluid or output temperature of nanofluid at water block and heat flux. The thermoelectric cooler (TEC) made of Bismuth Telluride (BiTe3) material for pn junctions is used with Delta Tmaxof 67°C in this analysis to extract the heat from processor. The Aluminium Oxide (Al2O3) and copper oxide (CuO) ranging from 40nm - 50nm size dispersed in distilled water with various volume concentrations were used for dissipation of heat from the hot surface of the TEC. Liquid flow is varied from 0.1LPM - 0.9LPM. Results demonstrate that by maintaining the lower Delta Tmax value, higher Coefficient of performance (COP) is achieved. There is a considerable reduction in operating temperature of processor when using the nanofluids. Both the nanofluids exhibited higher thermal conductivity on comparing with base fluids. The enhancement observed in output temperature is about 15°C to 20°C by using nanofluids. Higher the flowrate used higher the heat flux generated.
Optimization of Al-SiC-MW CNT metal composite by W-EDM using Taguchi method
Authors: Parswajinan C. , Vijaya Ramnath B. , Aiswarya V , Aswini Subhatra M , Rajesh S. , Sriram J. 
Published: October 2020

Abstract
EDM process is primarily used in machining of Al6061 metal matrix composite reinforced with silicon carbide (SiC) and carbon nano-tube (CNT). This process can be used to measure the Metal Removal Rate (MRR), Tool Wear Rate (TWR) and Surface Roughness (SR) of the work piece material. Using Taguchi’s parameter design, significant machining parameters affecting the performance of the process such as discharge current, pulse ON time and duty cycle are the input parameters. The performance measure for each combination of the parameters has been taken. In this work, the MRR, TWR and SR for each combination have been estimated. The results obtained are tabulated. The study demonstrates that the EDM process parameters can be adjusted to do better MRR, TWR and SR by optimizing the parameters using grey relational analysis (GRA).
Effects of trace Ce addition on critical cooling rate and Ti (CN) precipitation of ultra high strength steel plate
Authors: Gao Zhiguo , Xu Liujie 
Published: October 2020

Abstract
It is well-known that issues always occur for local non-hardenability of 1.5 GPa ultra-high strength steel plates during conventional hot forming processes, once the thickness of the plates is more than 2.5 mm. To resolve the issues, our recent research suggests that adding cerium during metallurgical processes is a prospective approach. This paper adopted a novel process to prepare 1.5 GPa ultra-high strength steel plates using a 25 kg smelting furnace. The research team investigated the effects of trace cerium addition on critical cooling rates characterizing the hardenability for the examined steel plates through measuring experimented continuous cooling transformation curves. The results showed the critical cooling rate of the investigated steel plate was about 10 °C s−1 only, which was at least 60% lower than that of traditional 1.5 GPa ultra-high strength steel plate. Cerium addition suppressed the diffusion of Ti atoms in the Fe matrix and improved Ti (CN) precipitation on the matrix of bcc Fe. This paper revealed that cerium addition substantially reduced critical cooling rates of 1.5 GPa ultra-high strength steel plate and significantly improved the hardenability of the processed steel plates.
Insight into the law and mechanism of selective oxidation of Q&P steel under different annealing parameters
Authors: Zhou Dayuan , Li Mian , Mi Zhenli , Jiang Haitao , Wu Yanxin 
Published: October 2020

Abstract
In order to investigate the law and mechanism of selective oxidation of Quenching and Partitioning (Q&P) steel under different annealing parameters, the sensitivity of alloy elements added in Q&P steel to the annealing parameters was explored. Galvanizing experiments of QP steel were carried out at different annealing temperatures(770 °C and 730 °C) and different holding times(180 s and 300 s). The concentration change of selective oxidation element and the alloying element distribution in the coating were analyzed by Glow Discharge Optical Emission Spectrometer (GDOES), the morphology of surface oxides and inhibition layer were observed by Scanning Electron Microscope (SEM). The results showed that higher annealing temperature(770 °C) and longer annealing time(300 s) could both increase the concentration of Mn and Si on the surface of Q&P steel, improve the oxidation degree of steel surface, thin the inhibition layer, and lead to more leakage plating and deterioration of surface coating quality. The Mn depth profiles showing a parabolic trend and reaching its maximum value at about 20 nm below the surface, while the concentration of Si gradually decreases from the surface to the interior. The selective oxidation of Si and Mn are more sensitive to the annealing temperature than the annealing time.