bluuebunny/crossref_metadata_2025_split huggingface dataset:
Redundant multi-path service of a flow heterogeneous in delay criticality with defined node passage paths
Authors: Bogatyrev V.A. , Bogatyrev A.V. , Bogatyrev S.V. 
Published: May 2021

Abstract
An analytical model is proposed for estimating the probability of timely redundant servicing of a heterogeneous flow, which implies the creation of replicas of requests with a multiplicity depending on the total allowable waiting time in the sequence of nodes involved in servicing the request. It is shown that the reservation of queries critical to the admissible waiting time allows increasing the probability of timely execution of queries and the intensity of the profit received from servicing a non-uniform flow.
A caching model for a quick file access system
Authors: Ermakov N. V. , Molodyakov S. A. 
Published: May 2021

Abstract
The amount of stored and transmitted information is constantly increasing. The search and retrieval of the required data become more difficult as it grows. In this paper, we consider the developed storage system. The system stores information about pharmaceutical research. This system effectively stores data depending on its features. The main attention is paid to the issue of data caching at the application server level. To speed up data retrieval, we suggest using a two-section cache. The first section contains the results of queries to the database, and the second contains data from the file system. Analytical and simulation caching models have been developed for research. In the model, you can specify the distribution of requests, the size of the cache sections, the number of requests, and other parameters. The model uses the LRU cache replacement policy. The graphs of model research depending on the cache size and other parameters are provided. The analytical model considers the ideal case, so it shows better results compared to the simulation model.
Identification of Significant Factors for Improving the Efficiency of Enterprises Based on the Construction of an Efficient Frontier
Authors: Grebenyuk E.A. 
Published: May 2021

Abstract
This study aims at the issues of evaluating the effectiveness of organizations and determining significant factors for its improvement. Effectiveness valuation is measured by the distance of the organization to the efficient production frontier (EPF). We consider two main approaches to the construction of EPF: Data Envelopment Analysis (DEA) and the Stochastic Frontier Analysis (SFA). We analyzed and compared these approaches, applying the developed procedures to evaluate the effectiveness of two groups of organizations from different production sectors (mechanical engineering and oil refining). We conducted 1) building empirical estimates of technological efficiency, 2) identifying factors that contribute to the technological inefficiency of the organization, 3) comparing efficiency factors and inefficiency factors for two groups of enterprises.
Planning of various forms of transportation routes in the automotive regional transportation network
Authors: Kapitonov Yu.A. , Borodavkin V.A. , Shmatko A.D. 
Published: May 2021

Abstract
The problem of transport routing in a regional transport network is considered. The solution method is the Minimum Cost Flow Problem, and the Column Generation Method. For the conditions of degenerate cases, the paper proposes a description of a transport system in the form of directed graphs. As a result, various forms of routes are obtained, as is customary in the transport logistics of road transport.
Neural computations in control problems: aspects of computability and spatial-time characterization of cognitive functions
Authors: Antonov A. , Zaborovsky V. , Polyanskiy V. 
Published: May 2021

Abstract
The thesis of the futurologist A. Clark that «sufficiently advanced technologies are indistinguishable from magic» is relevant nowadays as never before. Modern science, unlike magic, although it relies on logically consistent physical theories, formalisms of mathematics and the possibilities of computing, has not made the world less mysterious, especially with regard to the natural phenomena of consciousness, thinking and intelligence. From the point of view of computer science, a distinctive feature of these phenomena is their network-centric neuromorphic organization and the availability of complex memory resources - a non-casual computing mechanism for «transporting» processed data, the results of calculations and information interactions in time. Formalization of these features makes it possible to determine a model of cognitive processes on a multidimensional set of states, on which a strict relation between the time order and numerical equality is not introduced, therefore, contextually significant information, about past as well as current or forecast states, can be used for calculations at the same time states. For control systems operating under uncertainty, a distributed heterogeneous reconfigurable structure is proposed that implements the technology of «computation in memory» both for algorithms reflecting causal relationships and learning processes that require operational reconfiguration of the computation field.
Application of the envelope method to synthesis of control in the differential game “pursuit-evasion”
Authors: Ivanov V.P. 
Published: May 2021

Abstract
The report is devoted to the applications of the envelope method to the synthesis of control in the differential game “pursuit-evasion”. It is proved that optimal trajectories can be represented as envelopes of a parametric family of singular curves, called instantaneous solutions within this approach, and that control can be found on this family. It is shown that, in the general case, the synthesized game control law will contain the maximum permissible control values, current values of phase coordinates, parameters of tangents and their derivatives.
The multi-harmonic signal frequencies estimation in finite time
Authors: Vediakova A. O. , Vedyakov A. A. , Pyrkin A. A. , Bobtsov A. A. , Gromov V. S. 
Published: May 2021

Abstract
The paper presents a method to estimate the frequencies of a multi-harmonic signal in finite time. We use parameterization based on applying delay operators to a measurable signal. The result is a linear regression model with an unknown vector which depends on the signal parameters. We use Dynamic Regressor Extension and Mixing method to replace the n-th order regression model with scalar regressions. After that, we estimate the parameters separately using the standard gradient descent method. In the last step, we find algebraically the finite-time parameter estimates. The set of numerical simulations demonstrates the efficiency of the proposed approach.
Identification of user profiles in online social networks: a combined approach with face recognition
Authors: Oliseenko V.D. , Abramov M.V. 
Published: May 2021

Abstract
This paper suggests improving the previously existing method of identifying user profiles in different online social networks by adding face recognition results to the model. It is assumed that the method will become more stable for identifying people with the same name, city and age. It will help to find more user profiles in different online social networks, which will improve the estimation of their personal characteristics. Evaluating user personality traits is one of the key tasks in protecting employees of enterprises and companies from social engineering attacks.
A comparative analysis of control allocation methods applied to autonomous underwater vehicles
Authors: Kostenko V. V. , Tolstonogov A. Yu. 
Published: May 2021

Abstract
The report presents a comparative analysis of various control allocation methods by taking into account an over-actuated propulsion system and actuator constraints for autonomous underwater vehicles. Comparing methods by the size of a feasible control region, compute time, consumed power, and control error is presented. It is shown that the choice of an allocation method significantly affects the quality of control of an underwater vehicle and consumed power during maneuvers.
Capabilities for Monitoring and Controlling Dynamic Parameters of Extended Structures Based on Distributed System of Integrating Sensors
Authors: Vassilyev S. , Galyaev A. , Yakushenko E. , Zaletin V. 
Published: May 2021

Abstract
A range of issues and tasks related to the construction of a measurement system based on integrating fiber-optic sensors for monitoring and controlling low-frequency acoustic vibrations of ship hull structures is considered.
Modeling of full-scale propeller characteristics at the life cycle initial stages of marine systems
Authors: Yakovlev Aleksey Yu. , Zin Thant 
Published: May 2021

Abstract
Modeling of full-scale propellers characteristics at the design stage is one of the actual practical tasks. A method has been developed for converting characteristics from the model to nature to solve this task. The method is based on modeling the propeller operation using Eduard Papmel modified method. The boundary layer characteristics are calculated for the blades cylindrical sections and the axisymmetric body modeling the hub. Compliance between the evaluation characteristics and a model tests result is ensured by selecting a number of parameters that take into account the features of the flow around the blades and the incoming flow.
Dynamic positioning of a sea vessel under the influence of a multi-harmonic external disturbance
Authors: Vediakova A. O. , Vedyakov A. A. , Boev V. S. 
Published: May 2021

Abstract
The paper considers the problem of dynamic positioning nonlinear model of a vessel under the multi-harmonic disturbances. The multipurpose control law makes it possible to tune the nonlinear observer, the feedback control, the dynamic corrector, and the estimator of external disturbances frequencies independently from each other. We achieve the economical ship control mode by tuning the dynamic filter to the primary external perturbation frequency. We apply a finite time approach to construct estimates of multi-harmonic external disturbance frequencies.
Real-time Track Obstacle Detection from 3D LIDAR Point Cloud
Authors: He Chao , Gong Jiayuan , Yang Yahui , Bi Dong , Lan Jianpin , Qie Leipeng 
Published: May 2021

Abstract
Obstacle detection is one of the important works in the field of driverless vehicle. Camera, millimeter wave radar, LIDAR and other sensors are widely used in the obstacle detection of driverless vehicle. However, cameras and millimeter wave radar are highly dependent on the environment and greatly affected by external factors, especially in the process of high-speed driving, which is easy to produce serious system errors, and even unable to detect obstacles, which has a great potential for the safety of driverless vehicle. LIDAR is used to detect obstacles by launching laser, which is not easy to be interfered by the environment. It has high precision and is suitable for outdoor environment. The main contributions of this paper are as follows: 1) a 16 line LIDAR track recognition method based on driverless equation is proposed. 2) it is easy to get the obstacle coordinates through plane segmentation and clustering for the use of subsequent camera and LIDAR fusion.
Vehicle Packing Layout Optimization Based on Genetic Taboo Hybrid Search Algorithm
Authors: Wei Shifeng , Deng Jianxin , Wei Wandong , Chen Xingyu 
Published: May 2021

Abstract
According to the characteristics of the actual transportation packing problem, the three-dimensional vehicle packing problem with path constraints is studied, and the optimal model of the three-dimensional vehicle packing problem with path constraints is established, and then taboo search is added to the genetic algorithm to solve the problem. The performance of the algorithm is verified by example analysis. The experimental result shows that the hybrid algorithm can obtain an approximate optimal solution of higher quality than the ordinary genetic algorithm, indicating that the algorithm has a better solution to the three-dimensional packing problem. The algorithm has a great help in improving vehicle utilization and work efficiency.
Feasibility Analysis of Reliability Analysis Methods Applying in Air Traffic Control System
Authors: Wang Zhuojia , Jiang Xin , Tang Jian 
Published: May 2021

Abstract
Air traffic control system plays a vital role of air traffic management system, of which reliability determines the service quality and supply level of air transportation. The structure of air traffic control system is considered, and an expression of reliability analysis is applied. A mount of methods including traditional reliability analysis and network system reliability analysis are introduced to demonstrate whether they are feasibility for reliability analysis of air traffic control system. This work can be used as reference and basic for air traffic control system, which is meaningful for ATM safety operation, system selection and response repair.
Reservation-based Dedicated Lane Method for Mixed Autonomous and Human-operated Vehicles at Intersections
Authors: Huang Xin , Lin Peiqun 
Published: May 2021

Abstract
This paper develops a reservation-based dedicated lane (RDL) mechanism for mixed autonomous and human-operated vehicles at intersections in connected vehicle environment. The RDL mechanism is proposed to coordinate hybrid transport at intersections under the condition of dedicated land, improve the capacity of intersections, reduce delay and the number of stops. The overall RDL architecture consists of two essential sub-modules: a connected and autonomous vehicles (CAVs) speed guidance application, a signal-control application for human-operated vehicles (HVs). Thus, the proposed RDL strategy enables HV/CAV/signal cooperation in a connected vehicle environment. A set-projection algorithm and a three-segment linear speed profile are employed to control the trajectories of the CAV. The performance of the proposed method is evaluated by simulating various traffic conditions on an actual urban network. The simulation evaluation results show that, compared with the traditional signal control method, the model can significantly reduce the travel delay. The simulation experiments indicate that the penetration rate of CAV reaches 30%-40%, and proposed method can achieve considerable results.
Study on the Regional Logistics Capability Based on Factor Analysis under the Background of Belt and Road Initiative
Authors: Qi Yan , Wang Chong 
Published: May 2021

Abstract
The implementation of the Belt and Road Initiative puts forward higher requirements for regional logistics capabilities. But the uneven development of logistics industry in various provinces restricts the B&R initiative. Basing on the relevant studies, this paper builds a regional logistics capability index system, which covers the logistics industry scale, logistics infrastructure, logistics human resources, social economy and internet development level. This paper adopts the factor analysis to comprehensively evaluate the logistics capacity of 18 provinces along the B&R, proposing corresponding countermeasures to these provinces under the B &R initiative.
Game Analysis on the Interplay between Introduction of Store Brand by Retailer and Innovation Investment by Manufacturer
Authors: Xu Shi , Xu Qian , Lv Yifan 
Published: May 2021

Abstract
This paper explores the impact of the upstream manufacturer’s innovation investment and the downstream retailer’s introduction of store brand products (SB) on supply chain members. Further we analyze the interplay between them. By formulating a decision model that includes a manufacturer and a retailer, applying the backward method, the equilibrium of supply chain members under different scenes is solved. The results show that the manufacturer’s innovation investment is its dominant strategy, it can increase the retail price of national brand products (NB) and realize the Pareto improvement. The introduction of SB by the retailer can lower both the retail price of NB and the level of innovation investment. Whether the retailer introduces SB depends on the cost of innovation investment. The manufacturer can prevent the retailer from introducing SB by reducing the cost of innovation investment.
A Three-dimensional Model on Performance Evaluation and Rating of Supplier Logistics in Automotive Manufacturing Industry
Authors: Deng Mingrong , Xing Ximiao 
Published: May 2021

Abstract
In order to comprehensively measure the logistics capability of suppliers from the perspective of logistics, we take the field of automotive parts manufacturing as an example, study how to objectively evaluate suppliers, and therefore to determine the strategies for different suppliers, and select long-term cooperative partners, which is strategic significance for the supply chain management of enterprises [1]. This paper proposes a three-dimensional evaluation model involved with three aspects of supplier evaluation: supplier’s internal logistics management ability, supplier’s logistics external output ability and logistics cost management ability. Through establishing an evaluation dimension according to each aspect, combined with the evaluation principles, the weight factors of parts, performance evaluation and rating of supplier logistics can be obtained according to the problems faced with the actual situation.
Three-stage DEA Model on the Low-carbon Logistics Efficiency in Ten Coastal Provinces of China
Authors: Zhang Qingyu , Mai Jieshan , Li Yulin 
Published: May 2021

Abstract
As China’s economy rapidly grows, the tertiary industry has developed vigorously, and at the same time there has been a huge demand for the logistics industry. The coastal logistics industry, which uses water transportation as its main mode, has brought about carbon emissions that cannot be ignored due to its high energy consumption and high pollution. This paper focused on efficiency research and was based on the concept of green logistics. By using the three-stage DEA model which selecting the data of China’s coastal provinces from 2015 to 2017, the research shows that environmental factors and random disturbances have important effects on the evaluation of efficiency. Finally, this paper put forward suggestions for improvement based on empirical results.
Analysis of Subway Fire Accident Based on Bayesian Network
Authors: Li Ying , Rong Wenyu 
Published: May 2021

Abstract
Subway stations and trains are densely populated public places. Once fire breaks out, it will cause casualties and seriously threaten people’s life and property safety. In order to explore the deep causes of subway fire and prevent subway fire accidents, this paper makes statistics on the causes of subway fire in various countries in recent years and classifies them. On this basis, the Bayesian network for subway fire causes is constructed, the probability of subway fire occurrence and the posterior probability of each basic event are calculated by using the prior probability of each basic event, and the corresponding safety management measures are proposed. The results show that the method can find out the probability of each basic event in subway fire by quantitative calculation, and the method is scientific and effective, which can provide reference for subway safety management.
Evaluation of Freeway Traffic Management and Control Measures Based on SUMO
Authors: Wang Fujian , Lu Yixiao , Dai Hongliang , Han Haihang 
Published: May 2021

Abstract
With the rapid increase of freeway traffic volume, traffic congestion has become a normal phenomenon, through scientific freeway management and control measures, the traffic efficiency of the whole road can be effectively improved and the congestion problem can be alleviated. Therefore, this paper takes Shaoxing section of Shanghai-Hangzhou-Ningbo Feeway as the research object, puts forward three active traffic control measures, and uses the traffic simulation software SUMO to simulate and evaluate the effect of the freeway control measures. The results show that emergency lane control measure, ramp metering control measure, and variable speed limit control measure can effectively reduce the delay of freeway in the congested section, and improve road capacity. In this paper, the study of freeway management and control measures under congestion conditions, provides relevant decision support and theoretical guidance for freeway management.
Theoretical Derivation of Gauges for Straddle-type Monorail Vehicle
Authors: Zou Jiancai , Chen Bingyan , Zhan Shen , Huang Chao , Wang Xiaojun 
Published: May 2021

Abstract
The theoretical model of the straddle-type monorail vehicle bogie is set up and the function of each component is introduced. The lateral and vertical displacements of carbody when the lateral and roll motion of carbody in the same/reverse direction are attained through theoretical derivation, which can be put into the calculation of the vehicle gauge. A computational program is written to simulate the corresponding results under specific parameters. The correctness of the method to calculate the monorail vehicle gauge is verified.
Research on the Impact of Cloud Manufacturing Platform Pricing Strategies on the Profit of Single Channel Suppliers
Authors: Sun Daohe , Yang Xin , Chen Zixing 
Published: May 2021

Abstract
Based on the Hotelling model, this paper compares the profit of single-channel transactions between the cloud supplier on the cloud manufacturing platform and the offline supplier with the manufacturer. It studies how the cloud manufacturing platform formulates the transaction charging coefficient so that the profit of the cloud supplier is greater than the profit of the offline supplier and guarantees its own profit, thereby attracting more suppliers to the cloud. And further consider the impact on supplier profit and cloud manufacturing platform revenue when the manufacturer’s value perception coefficient changes, provide reasonable suggestions for cloud manufacturing platform pricing, and provide cloud suppliers with strategies to attract manufacturers.
A charging pricing method for electric vehicles on freeways considering charging demands and strategy
Authors: Chen Lixing , Ji Zhenya , Han Xiaoxin , Wang Qi 
Published: May 2021

Abstract
The effective electric vehicles (EVs) charging price is one of economic incentive approaches for implementation of charging strategy for EVs on freeways. An EVs charging pricing method is proposed by considering the EV charging demands and strategy. The busy and idle charging capacities model, and busy and idle charging prices model are established to test the proposed method effectiveness. The charging of EVs on freeways, under different charging strategies, is simulated by queuing model and queuing algorithm according to related data, and the paper verifies the proposed method.