bluuebunny/crossref_metadata_2025_split huggingface dataset:
Algorithm for constructing trajectories of maneuvering object based on bearing-only information using the Basis Pursuit method
Authors: Voronina N.G. , Shafranyuk A.V. 
Published: May 2021

Abstract
The possibility of using the Basis Pursuit signal recovery method in the object tracking algorithm as a method of filtering and extrapolating the trajectory of the observed object in a one-dimensional measurement space is considered. The simulation results are presented for the trajectory processing algorithm using the proposed filtering method for the data obtained during the object direction-finding in comparison with the block algorithm based on the maximum likelihood method and the Kalman filter.
Features of implementation of adaptive signals processing for a cylindrical antenna array with a horizontal generatrix
Authors: Melkanovich V.S. 
Published: May 2021

Abstract
The ways of overcoming the problems caused by the specific asymmetry of the side lobes of the channels formed at the output of cylindrical antenna arrays with a horizontal generatrix, which are relevant for underwater robots, are considered. An algorithmic solution is proposed based on the use of adaptive signal power limitation for solving detection-direction finding problems in combination with non-adaptive reception or the diagonal loading Capon algorithm for assessing the spectral and correlation characteristics of strong signals.
Methods of clutter modeling for development testing of hydroacoustic systems
Authors: Shafranyuk A.V. , Prokopovich V.V. 
Published: May 2021

Abstract
The paper considers an approach to the construction of a clutter model used in software of the technological part of the test bench for simulation and development testing of hydroacoustic systems. Simulation of clutter on antenna arrays is a rather complex independent task important from the point of view of ensuring the correct SNR for the simulated noise sources at the antenna input. The existing methods of clutter simulation are presented and a new approach is proposed that eliminates the existing drawbacks while maintaining high performance.
Aeroengine Performance Degradation Evaluation Method Based on Hierarchical Bayes Integrated with DNN Fusion Decision
Authors: Li Yongbo , Wang Huawei , Fu Qiang 
Published: May 2021

Abstract
According to the performance degradation law of aeroengine in operation, we proposed a method of aeroengine performance degradation evaluation based on the fusion decision of Hierarchical Bayes method (HB) and deep neural network (DNN). Hierarchical Bayes method was used to build the aeroengine reliability model. Then Based on the aeroengine operation monitoring parameters and reliability model, we used deep learning method to extract the performance degradation law and to evaluate aeroengine performance level, realized the fusion decision of engine performance degradation assessment. 9467 monitoring samples, contaminated with sensor noise, collected from 50 aeroengines was used to evaluate the quality of the network, and the average accuracy is 92.01%. The results showed that this method showed good robustness and reduced the risk of the evaluation results error caused by noise.
A Systematic Literature Review: Blockchain Technology and Organizational Theories in the Perspective of Supply Chain Management
Authors: Khan Syed Abdul Rehman , Yu Zhang 
Published: May 2021

Abstract
Due to the numerous benefits of blockchain technology (BCT), firms are eager to adopt blockchain technologies in their businesses for greater information sharing, increasing efficiency, and reducing the cost. But in the field of supply chain management, blockchain technology literature is in its early phase for lacking theoretical foundation. The primary purpose of this research is to determine the organization theory used in the BCT literature from the perspective of operations and supply chain related fields. The findings reveal that six organizational methods used in BCT literature in supply chain-related fields, including resource-based view, network theory, institutional theory, agency theory, information theory, and transaction cost analysis. This article provides a foundation for future researchers who want to use organizational theory and deepen research on BTC in the field of supply chain management, thereby contributing to the BCT discussion.
Research on the Application of Artificial Intelligence in Intelligent City and Its Countermeasures
Authors: Xiao Xiaoyong , Xie Chao , Thomson G. W. 
Published: May 2021

Abstract
Intelligent urban governance is an inevitable choice to conform to the development trend of modern science and technology. With the development of digitalization, intelligent cities based on artificial intelligence will accelerate the modernization of urban governance. Based on the connotation and basic of intelligent city, this paper analyzes the application of artificial intelligence in the governance of intelligent city. It puts forward the idea that artificial intelligence will promote intelligent city governance, and holds that intelligent government affairs, intelligent transportation, intelligent medical care and intelligent education will greatly improve the efficiency of resource allocation, so as to realize the modernization of urban governance.
Optimization of Material Distribution Scheduling Based on Mixed Distribution Strategy
Authors: Li Meiyan , Huang Junjie , Chong Jiaxin 
Published: May 2021

Abstract
In order to effectively solve the scheduling problem of mixed flow assembly line material distribution, an optimization method of material distribution scheduling based on mixed distribution strategy was proposed. Firstly, the mixed distribution strategy is described, and the distribution strategy of materials is divided by taking the refrigerator assembly line as an example. Then the problem of mixed distribution strategy is simplified and a mathematical model is established for scheduling optimization. The construction of the model is different from the existing calculation of material consumption based on working hours. This model is based on the quantity of products on line, making the actual material consumption more accurate. Finally, an example is given to verify the feasibility of the model.
A Modified Mixed Car-following Model Considering that the Connected and Intelligent Vehicle and Non-connected Vehicle
Authors: Zhang Junjie , Liu Miaomiao , Sun Zhentian 
Published: May 2021

Abstract
With the development of networking and intelligence, a mixture of multi-type vehicles will become normal in the road transportation system, which lead to more complex for vehicle motion in microscopic traffic system. Therefore, non-connected vehicle car-following model is established considering the subjective perception errors of preceding vehicles based on the desired safety margin model. Moreover, the effective range of vehicle-to-vehicle communication is considered, and the connected and intelligent vehicle car-following model considering the multi-vehicles information perception effect is constructed. We investigated the influence of penetration rate of the connected and intelligent vehicle on the stability of mixed traffic. Numerical simulations results show that the connected and intelligent vehicle can improve the mixed traffic flow stability to a certain extent. And setting reasonable feedback gain coefficients for connected and intelligent vehicle car-following model can stabilize mixed traffic flow.
Optimizing Channel Profit in a Retail Dual-channel Supply Chain When Considering Delivery Lead Time
Authors: Wan Gan , Zhang Jun 
Published: May 2021

Abstract
With the development of e-commerce, more and more consumers are shopping Online, which has led several traditional retailers to redesign their sales strategy to include an Online sales channel. Their Online and offline channels form dual-channel supply chains. However, consumers have to wait before receiving the products they buy. The time elapsed is called delivery lead time which is an important index in consumer’s channel choice. There are few studies in this new field with studies in dual-channel supply chain being more common. In this paper, a dual-channel supply chain in which there are one manufacturer and one retailer is studied, and the retailer has an Online and an offline channel at the same time. The supply chain is considered as a retailer-dominant Stackelberg game. The delivery lead time is introduced into the operation of the supply chain. The impact of the delivery lead time on the operation of the supply chain is analyzed in this paper. The two-part tariff contract is used to coordinate the supply chain when making the decentralized decision. Finally, the optimal decisions of the supply chain members when the delivery lead time is different are shown using numerical examples.
An On-line Supply Chain Scheduling Problem with a Constraint of Unavailability on the Machine
Authors: Fan Jing 
Published: May 2021

Abstract
In this paper, we focus on a scheduling problem in the on-line environment, in which the number of jobs and all information of every job, such as release time, processing time etc. are not known before each job is released. After a job is released, it can be first manufactured on one machine in a factory. It is noted that there is a given constraint of unavailability on the machine. There may be some job interrupted by the determinate unavailability interval during its process of manufacturing, and the interrupted job must be reprocessed after the machine becomes available again. In order to take full advantage of the unlimited capacity of a vehicle, the completed jobs can be delivered in batches to the customer. Our goal is to minimize the maximum arrival time of the vehicle when the vehicle returns to the factory after it has delivered the last completed job to the customer. The lower bound is proved when we construct a series of intractable instances. And an on-line algorithm for the problem is then developed and the competitive analysis is performed.
Research on Safety Risk, Prevention and Control in Port Dangerous Goods Container Yard
Authors: Xie Tiansheng , Lu Xin , Wang Guobo , Lin Feng 
Published: May 2021

Abstract
Based on the analysis of the storage, safety risks and risk factors of the dangerous cargo container yard in the port, the accident hazards and the scope of impact were evaluated through simulation calculations. The results show that the main risk factors are inherent dangerous characteristics of dangerous goods, improper storage modes, substandard packaging, and the failure to implement the main responsibility of the port operator, the weak safety awareness of employees, the inadequate safety supervision and the improper emergency response. The influence range extends as far as the surrounding regions. It is necessary to take countermeasures such as limiting the stockpile, equipping with safety facilities, and strict management to prevent and control risks and accidents.
Analysis of Emergency Management Strategy of Material Supply Chain Based on Internet + in the New Crown Epidemic
Authors: Li Linfang 
Published: May 2021

Abstract
The outbreak of COVID-19 has highlighted the current shortage of supplies in emergency situations in China. It caused serious damage to the life of our people and the development of social economy. Transportation is not smooth and then lead to the contradiction between material demand and supply. To solve this problem, we need to improve the perspective of solving the problem, stand at the height of the entire supply chain, and make the supply chain thinking and Internet technology highly integrated, so as to improve the ability to respond to emergency situations.
Cooperative Incentive Model of Supply Chain Quality Control Based on Cost-sharing Contract
Authors: Zhang Shun , Zhao Chen , Liu Qianwen 
Published: May 2021

Abstract
In order to motivate suppliers to invest more efforts to improve product quality, a game-theoretic optimization model was used to build a retailer-multi-vendor cooperative quality control incentive model based on cost-sharing contracts, and the effectiveness and rationality of the model are verified by an example. The results show that the quality control cooperation incentive model can improve the coordination effect and share the supplier’s quality control costs through retailers to promote suppliers to invest more quality efforts, increase the profits of retailers and suppliers, and thus achieve the overall profit of the supply chain maximize.
Research on Non-catenary Power Supply Technology
Authors: Li Enlong , Lu Yinning , Mo Xiaofan , Wen Jiakun 
Published: May 2021

Abstract
The traction power supply mode of urban rail transit trains is mainly divided into two categories: contact power supply and contactless power supply. Among them, contactless power supply mode has advantages of cost saving, unrestricted operation area, energy conservation and environmental protection. Therefore, some domestic and foreign institutions have begun to carry out research in related fields and practical application. Based on the “Battery and super capacitor” train hybrid energy storage system, we study the contactless power supply technology in this paper, the description and conclusion can provide a reference for the further research of contactless power supply technology together.
Research on Inventory Strategy of Spare Parts Based on Demand Rate
Authors: Geng Junbao , Wei Shuhuan , Wei Zhangjian 
Published: May 2021

Abstract
The demand intensity of spare parts is the key factor to the inventory strategy. Firstly, one scientific calculation method for the demand rate of spare parts is put forward in this paper. Secondly, spare parts is classed by the value and universality of spare parts, the difficulty in purchasing, the demand stability and so on. Lastly, the storage categories and classification management method of spare parts is set up according to the characteristics of spare parts preparation, which sets the foundation for the research of scientific inventory management.
Safety Research on Spent Fuel Sea Transport
Authors: Geng Jiezhe , Wang Guobo 
Published: May 2021

Abstract
With the thriving of Chinese nuclear power industry and spent fuel transport, the current transport mainly depending on road network can’t meet its demand. To solve the problem, China starts to establish a multimodal transportation using road-sea-railway. Based on safety principle, this paper studies various stages of sea transportation, proposes a transportation scheme for spent fuel, which covers port construction, ship selection, route selection and demonstration, and puts forward the corresponding transport organization system, safety technology supporting system for sea transport.
Research on Energy Reclaiming Active Suspension Control Strategy Based on Linear Motor and Hydraulic Hybrid System
Authors: Deng Zhijun , Shi Bo , Wei Dongping , Wang Shengchang 
Published: May 2021

Abstract
Based on linear motor and hydraulic hybrid energy reclaiming suspension, control strategy for multi-mode switched active suspension is designed. By establishing a quarter vehicle suspension system model, a fuzzy sliding mode controller is designed to control the active suspension system, and design active suspension mode switching strategy to select and switch suspension modes of vehicles under different conditions, it improves the performance of active suspension as well as the feed-ability of the suspension. The accuracy of the model and control strategy is verified by simulation, at the same time, a quarter suspension bench is built for test. The test results show the effectiveness of the simulation. The energy-feed test shows that the energy-feed efficiency of the designed energy reclaiming suspension can reach 17.54%.
Layout Optimization of Yard Template Plan Considering Vessels’ Operational Time Requirements
Authors: Jin Z W , Tan C M 
Published: May 2021

Abstract
In order to solve the problem of delayed departure of vessels in container ports and improve the efficiency of yard operation, a mathematical programming model of yard template planning based on vessels’ operation time was proposed to optimize the number of vessels loading points and put the operation time of vessels into constraints to avoid delayed departure of vessel. At the same time, transportation distance is put into the objective function to minimize transportation cost of containers. The numerical experiments are designed, which is solved by CPLEX solver to verify the validity of the model. The experimental results show that the mathematical model can deal with the problem of delayed departure of vessel.
Study on Users’ Travel Behavior of Urban Car Sharing System Based on Spatio-temporal Big Data in Chengdu
Authors: Yu Daben , Li Zongping 
Published: May 2021

Abstract
Based on the big data of time and space for shared cars in Chengdu, this paper conducts a visual analysis of the travel needs of car sharing users in Chengdu. Clarified the hotspot areas for shared cars in Chengdu. In order to explore the spatial distribution characteristics of car sharing in Chengdu, the average daily travel space distribution of car sharing was visualized. It also counts the number of demand interactions within and between districts on weekdays and weekends. Comparative analysis of the travel characteristics of operators Evcard and Gofun. It provides a direction for further research on the travel timing characteristics of urban car sharing.
How does Cross-regional Supply Chain Function in the Global Auto Manufacturing
Authors: Deng Mingrong , Hu Linyan 
Published: May 2021

Abstract
This paper presents a study on the inter-regional supply chain which helps company to manage the flow of components among regions of affiliate’s and Joint Ventures. Using a type of mode named as IRF (Inter-Regional Flow), the company will be able to create simplified supply chain network and reduce complexity for operation. Other resulting advantages include centralization of capacity management, utilization of sharing of parts from common and modified supplier tooling, and reduction of logistic and manpower cost for the receiving region in purchasing, manufacturing and supply chain management.
Incentive Model of Carbon Emission Trading for Online Shopping Supply Chains Based on O2O Mode
Authors: Wu Yisheng , Lu Ronghua , Liu Wenjie , Li Jian , Xu Feng 
Published: May 2021

Abstract
To address the problem of low-carbon operation enthusiasm of Online shopping supply chains based on O2O mode, first, the carbon emission model of supply chain members is constructed by the adjusting cost and production functions, and the corresponding incentive model is constructed according to the carbon emission trading system. Second, the incentive model is solved and analyzed based on the optimal emission reduction cost and the optimal carbon emission incentive. Finally, optimal control theory is used to analyze the dynamic optimization of the model. The result shows that with the improvement of anastomosis in Online and offline operations, the emission reduction cost is reduced. Supply chain members need to reduce carbon emissions only when their business scale is more than a certain amount. The cost of emission reduction for supply chain members is a concave function of the cost for its operation equipment or the correct emission price.
Coordination Mechanism of Perishables Supply Chain with Carbon Optimization in Stochastic Environment
Authors: Zhao Yuan , Yang Xin , Zhao Che 
Published: May 2021

AbstractAgainst suppliers in under the background of carbon labels, leading the Stackelberg game, the introduction of random disturbance factor effect together with the carbon footprint of perishable product demand function, comprehensive compared the centralized decision-making and decentralized decision system. The study found that centralized decision-making in cold chain have certain advantages, in order to realize the pareto improvement of decentralized decision making, based on the cold chain members limited rationality hypothesis, design the since the execution of contract to the decentralized decision making secondary cold-chain system coordination optimization. Finally, the effectiveness of the contract is verified by an example. In the sensitivity analysis, it was found that the cold chain profit was negatively correlated with the deterioration rate, the unit out of stock cost and the unit emission reduction cost, and positively correlated with the residual value of the commodity unit, and the unit out of stock cost had the greatest impact on the total profit of the cold chain. The conclusion and contract design will provide reference for the operation of cold chain enterprises and the implementation of carbon emission reduction in China.
Area burned adjustments to historical wildland fires in Canada
Authors: Skakun Rob , Whitman Ellen , Little John M , Parisien Marc-André 
Published: May 2021

Abstract
Prior to delineation of fire perimeters from airborne and satellite imagery, fire management agencies in Canada employed conventional methods to map area burned based on sketch mapping, digitization from a global positioning system unit, and point buffering from geographic coordinates. These techniques usually provide a less precise representation of a wildland fire’s size and shape than those derived from image data. The aim of this study is to assess the discrepancy in fire size from these techniques that contribute to uncertainty in area burned. We paired independently generated fire perimeters derived from Landsat satellite imagery with conventional perimeters (n = 2792; mean area difference per fire = 40.1%), and developed a set of prediction models to estimate a Landsat area burned from conventional perimeters by considering the mapping source, method, agency, and time period. A two-fold cross validation predicting the logarithm of area burned from the models, indicated an R
2 = 0.95 (MAE = 0.10 ha; RMSE = 0.19 ha). From this, we created an adjusted area burned time series from 1950 to 2018 using the model-predicted estimates from conventional perimeters (75% of agency-reported area) in combination with unchanged estimates from agency perimeters derived from airborne and satellite imagery (13% of fires). The predicted estimates reduced the size of individual fires over 2000 ha on average in some years, contributing to an annual average reduction of approximately 11% of the area burned reported in the national agency fire database. By retrospectively applying a robust statistical adjustment to the fire size data, the historical overestimation in annual area burned—up to 1.4 Mha in a single year—could be substantially minimized.