bluuebunny/crossref_metadata_2025 huggingface dataset:
CD1a autoreactivity: When size does matter
Authors: Gapin Laurent
Published: May 2021

CD1a-autoreactive T cells represent a significant proportion of circulating αβ T cells in humans and appear to be enriched in the skin. How their autoreactivity is regulated remains unclear. In this issue of JEM, Cotton et al. (2021. J. Exp. Med.https://doi.org/10.1084/jem.20202699) show that CD1a molecules do not randomly survey cellular lipids but instead capture certain lipid classes that broadly interfere with the binding of autoreactive T cell antigen receptors to the target CD1a. These findings provide new potential therapeutic avenues for manipulating CD1a autoreactive T cell responses.
On the mechanistic pathways of exfoliation-and-deposition of graphene by bipolar electrochemistry
Authors: Khakpour Iman , Baboukani Amin Rabiei , Allagui Anis , Hachicha Ahmed Amine , Wang Chunlei
Published: May 2021

Amongst the different graphene fabrication techniques, bipolar electrochemistry (BPE) has been recently reported as a simple, controllable, low cost, eco-friendly, and scalable method. It consists of a wirelessly placed carbon source between two feeding electrodes subjected to direct current (DC) voltage in a deionized water bath. Although the physicochemical characteristics of produced graphene have been evaluated, the exfoliation and deposition mechanisms are still unclear. In this study, a novel modified BPE system with an electrically-connected graphite-platinum couple acting as the bipolar electrode has been designed in order to decouple and investigate the contribution of anodic/cathodic exfoliation and deposition of graphene in the BPE process. Electron microscopy and Fourier transform infrared spectroscopy results indicate that both anodic and cathodic exfoliation of graphene could take place regardless of the type of polarization; however, the morphology and deposition rate highly depend on the polarization. Furthermore, the graphene fabricated by anodic exfoliation was found to show higher levels of oxidation compared to the graphene produced by cathodic exfoliation.
Fostering experimental competences of prospective physics teachers
Authors: Bitzenbauer Philipp , Meyn Jan-Peter
Published: May 2021

Physics teachers are often faced with the challenge of having to set up difficult experiments, or they have to consciously manipulate parameters in order to be able to demonstrate a phenomenon convincingly. Comprehensive laboratory courses are standard procedure in any study program for prospective physics teachers. However, many students, even after completing standard laboratory courses, show difficulties in standard experimental situations, such as measuring an electric current. We report on a new seminar concept for students in physics teacher study programs. This concept is based on the current state of research in physics education, on the teachers’ professional competences, and on the modelling of experimental competence, justifying its embedding in teacher training. We present first results of a pilot study carried out to evaluate the seminar.
Comparison of CT image quality between the AIDR 3D and FIRST iterative reconstruction algorithms: an assessment based on phantom measurements and clinical images
Authors: Leon Stephanie , Olguin Edmond , Schaeffer Colin , Olguin Catherine , Verma Nupur , Mohammed Tan-Lucien , Grajo Joseph , Arreola Manuel
Published: May 2021

Modern CT iterative reconstruction algorithms are transitioning from a statistical-based to model-based approach. However, increasing complexity does not ensure improved image quality for all indications, and thorough characterization of new algorithms is important to understand their potential clinical impacts. This study performs both quantitative and qualitative analyses of image quality to compare Canon’s statistical-based Adaptive Iterative Dose Reduction 3D (AIDR 3D) algorithm to its model-based algorithm, Forward-projected model-based Iterative Reconstruction SoluTion(FIRST). A phantom was used to measure the task-specific modulation transfer function (MTFTask), the noise power spectrum (NPS), and the low-contrast object-specific CNR (CNRLO) for each algorithm using three dose levels and the convolution algorithm (kernel) appropriate for abdomen, lung, and brain imaging. Additionally, MTFTask was measured at four contrast levels, and CNRLO was measured for two object sizes. Lastly, three radiologists participated in a preference study to compare clinical image quality for three study types: non-contrast abdomen, pulmonary embolism (PE), and lung screening. Nine questions related to the appearance of anatomical features or image quality characteristics were scored for twenty exams of each type. The behavior of both algorithms depended strongly on the kernel selected. Phantom measurements suggest that FIRST should be beneficial over AIDR 3D for abdomen imaging, but do not suggest a clear overall benefit to FIRST for lung or brain imaging; metrics suggest performance may be equivalent to or slightly favor AIDR 3D, depending on the size of the object being imaged and whether spatial resolution or low-contrast resolution is more important for the task at hand. Overall, radiologists strongly preferred AIDR 3D for lung screening, slightly preferred AIDR 3D for non-contrast abdomen, and had no preference for PE. FIRST was superior for the reduction of metal artifacts. Radiologist preference may be influenced by changes to noise texture.
Measurements of free-free absorption in warm dense aluminium
Authors: Hyland C , White S , Kettle B , Irwin R , Bailie D , Yeung M , Williams G , Heathcote R , East I , Spindloe C , Notley M , Riley D
Published: May 2021

Extreme ultraviolet radiation from a high harmonic source has been used to measure the free-free attenuation coefficient and real refractive index of warm dense aluminium, with sample conditions of near solid density and temperature of 0.9 ± 0.23 eV. These were compared to results from the literature, where the measured attenuation coefficients showed some consistency with the modelling and existing data from a previous experiment. The absolute values of the attenuation coefficient were found to reside between the different sets of models for the warm dense matter (WDM) attenuation coefficient, and were found to be more in line with modelling and measurements of the cold opacity from the literature. Novel measurements of the real refractive index of WDM were also achieved—while ambiguity makes these measurements consistent with all the models, they prove useful as a proof-of-concept for future WDM studies.
Experimental study of the influence of gas puff locations on H-mode boundary plasmas with argon seeding on EAST
Authors: He Tao , Yang Zhongshi , Wang Liang , Li Kedong , Wang Huiqian , Eldon David , Hyatt Alan , Humphreys David , Meng Lingyi , Ding Fang , Wang Yuming , Duan Yanmin , Zhang Ling , Xu Jichan , Luo Yu , Ye Dawei , Chen Xiahua , Yang Qingquan , Nian Feifei , Niu Guojian , Xu Guosheng , Luo Guang-Nan
Published: May 2021

To investigate the optimal scenario of impurity seeding to obtain divertor plasma detachment for target protection, experiments with Ar&D2 seeding from two different poloidal locations, the upper outer (UO) divertor target and lower outer (LO) target, were carried out on EAST. Partial energy detachment (the electron temperature near the strike point T
e,spt ⩽ 10 eV) were obtained with Ar&D2 mixture puffing from the UO target and, for the first time, from the LO target into H-mode plasmas in the upper single null (USN) configuration. The peak heat flux q
t on the UO target was significantly reduced (by ∼80%). The rollover of ion flux density j
s did not appear probably due to insufficient momentum loss, which is independent of the puff locations. The poloidal asymmetries of particle and heat fluxes on the targets have also been investigated. The UO-dominant asymmetry of particle flux was reversed, while the UO-dominant asymmetry of heat flux was mitigated but not reversed. The plasma confinement dropped by only 14% and 8.2% in the LO-puff case and UO-puff case, respectively, during detachment. The high level of C may contributed greatly to the higher radiation in the bulk plasma region and the greater decline in W
MHD in the LO-puff case.
Feasibility study of novel rapid ramp-down procedure in MgB2 MRI magnet using persistent current switch with high off-resistivity
Authors: Kodama Motomune , Kotaki Hiroshi , Ohara Shinya , Ichiki Yota , Fujita Shinji , Suzuki Takaaki , Tanaka Hideki , Aoki Manabu
Published: May 2021

Dry magnets using high temperature superconductors and MgB2 are attractive options to depart from dependence on liquid helium in MRI scanners. In the dry magnets, however, lack of thermal mass of cryogen makes a controlled quench difficult and extends time for restarting the magnets after the quench. In this study, a novel rapid ramp-down procedure, which can be substituted for the controlled quench in emergency rundown, is proposed, and its feasibility is proven for a 1.5 T whole-body MgB2 MRI magnet. In this procedure, a power supply receives current from a persistent current switch (PCS), the PCS is turned off by heating, the power supply is interrupted by a breaker, and the stored energy in the magnet is mostly consumed at an external resistor. Owing to the large energy margin of MgB2 wires, the AC loss during the ramp-down does not bring a quench of the MgB2 coils. A niobium–titanium sheathed MgB2 wire 0.60 mm in diameter is made, and a PCS with high off-resistivity is designed using this wire. The shunt current during the ramp-down does not bring the burnout of the PCS when the wire length is sufficiently long, typically hundreds of metres. Because heat generation inside the cryostat during the ramp-down is a few per cent of the stored energy in the magnet, the magnet is not heated excessively. As a result, the proposed ramp-down procedure should shorten the downtime of MRI scanners.
Mixed state entanglement classification using artificial neural networks
Authors: Harney Cillian , Paternostro Mauro , Pirandola Stefano
Published: May 2021

Reliable methods for the classification and quantification of quantum entanglement are fundamental to understanding its exploitation in quantum technologies. One such method, known as separable neural network quantum states (SNNS), employs a neural network inspired parameterization of quantum states whose entanglement properties are explicitly programmable. Combined with generative machine learning methods, this ansatz allows for the study of very specific forms of entanglement which can be used to infer/measure entanglement properties of target quantum states. In this work, we extend the use of SNNS to mixed, multipartite states, providing a versatile and efficient tool for the investigation of intricately entangled quantum systems. We illustrate the effectiveness of our method through a number of examples, such as the computation of novel tripartite entanglement measures, and the approximation of ultimate upper bounds for qudit channel capacities.
Edge-effects dominate copying thermodynamics for finite-length molecular oligomers
Authors: Poulton Jenny M , Ouldridge Thomas E
Published: May 2021

A signature feature of living systems is their ability to produce copies of information-carrying molecular templates such as DNA. These copies are made by assembling a set of monomer molecules into a linear macromolecule with a sequence determined by the template. The copies produced have a finite length—they are often ‘oligomers’, or short polymers—and must eventually detach from their template. We explore the role of the resultant initiation and termination of the copy process in the thermodynamics of copying. By splitting the free-energy change of copy formation into informational and chemical terms, we show that, surprisingly, copy accuracy plays no direct role in the overall thermodynamics. Instead, finite-length templates function as highly-selective engines that interconvert chemical and information-based free energy stored in the environment; it is thermodynamically costly to produce outputs that are more similar to the oligomers in the environment than sequences obtained by randomly sampling monomers. In contrast to previous work that neglects separation, any excess free energy stored in correlations between copy and template sequences is lost when the copy fully detaches and mixes with the environment; these correlations therefore do not feature in the overall thermodynamics. Previously-derived constraints on copy accuracy therefore only manifest as kinetic barriers experienced while the copy is template attached; these barriers are easily surmounted by shorter oligomers.
The analytical solutions of Zoomeron equation via extended rational sin-cos and sinh-cosh methods
Authors: Cinar Melih , Onder Ismail , Secer Aydin , Yusuf Abdullahi , Abdulkadir Sulaiman Tukur , Bayram Mustafa , Aydin Huseyin
Published: May 2021

In this study, we investigate the nonlinear Zoomeron equation by using the extended rational sin − cos and sinh − cosh methods. We successfully constructed some important solutions such as singular periodic wave, periodic wave, topological, and singular soliton solutions. Using suitable parameter values, we present the numerical simulations to some of the obtained results via the 2- and 3-dimensional graphs. The methods used in this study are efficient and powerful mathematical tools that can be applied in reporting various wave solutions to different nonlinear physical models.
Behavior of fluid flow and heat transfer induced by a stretching surface in the presence of polymers
Authors: Athar Maria , Ahmad Adeel
Published: May 2021

This article discusses the effects of polymers on flow of a viscous incompressible fluid induced by a heated, permeable, stretching surface. Our main interest is to investigate the response of skin friction and heat transport in the presence of polymers. In consequence of polymer stretching, an additional stress arises in the equation of motion for the velocity field. The simplest Oldroyd-B model of polymers is used to study polymer presence. A set of equations is derived accordingly and solved numerically by using an iterative scheme. We find that the zero-shear viscosity reduces near the surface because of the polymers’ interaction with the velocity gradients in the boundary layer, but then goes back to zero-shear viscosity on moving away from the plate. Reduction in skin friction and heat flux is also noticed as a result of polymer addition in the base fluid. Dependence of this reduction on different parameters is also investigated.
Uq(sln)

web models and

Zn

spin interfaces
Authors: Lafay Augustin , Gainutdinov Azat M , Jacobsen Jesper Lykke
Published: May 2021

This is the first in a series of papers devoted to generalisations of statistical loop models. We define a lattice model of

U

q

(

s
l

n

)

webs on the honeycomb lattice, for n ⩾ 2. It is a statistical model of closed, cubic graphs with certain non-local Boltzmann weights that can be computed from spider relations. For n = 2, the model has no branchings and reduces to the well-known O(N) loop model introduced by Nienhuis (Nienhuis 1982 Phys. Rev. Lett.
49 1062). In the general case, we show that the web model possesses a particular point, at q = eiπ/(n+1), where the partition function is proportional to that of a

Z

n

-symmetric chiral spin model on the dual lattice. Moreover, under this equivalence, the graphs given by the configurations of the web model are in bijection with the domain walls of the spin model. For n = 2, this equivalence reduces to the well-known relation between the Ising and O(1) models. We define as well an open

U

q

(

s
l

n

)

web model on a simply connected domain with a boundary, and discuss in particular the role of defects on the boundary.
Linear quadratic problems (On “linear” approaches in nonlinear system theory)
Authors: Răsvan Vladimir
Published: May 2021

The term “linear quadratic problem” refers to the problems of dynamics where linear controlled systems are associated with a certain quadratic functional of performance. “Linear” approaches are the approaches that are usually applied to linear systems, e.g. the methods of the integral transforms (Laplace, Fourier), the linear functional analysis and the frequency domain methods. The paper considers some cases where these approaches are applied to nonlinear systems.
Application of electric explosion technologies for protection of mobile marine objects from means of detection and destruction by naval weapons
Authors: Silnikov M.V. , Yakushenko E.I. , Kulakov K.S. , Pomazov V.S.
Published: May 2021

The article discusses the possibilities of using electric discharge technologies to create sources of acoustic waves in sonar countermeasure systems. Presented are the results of preliminary research works aimed at determining the parameters of acoustic waves generated by electric discharge technologies. The possibility of using electric discharge as a source of acoustic interference for undersea weapon guidance systems is shown.The current situation in the world, the armed conflicts and terrorist threats require ensuring the safety of maritime mobile objects (vessels, ships) from being hit by naval weapons. Today, one of the means of surface or submarine ship destruction is a torpedo weapon. The main means of protection against destruction by torpedo weapons are the ship maneuvering and its sonar countermeasures to the weapon guidance facilities [1]. The methods of sonar countermeasure are divided into passive and active ones [1 – 4]. Active methods are aimed at interfering with guidance systems, interrupting the wake, placing target simulators, etc.
The Choice of Criteria and Methods to Estimate the Quality of the Angular Sensor Based on the Effect of Nuclear Magnetic Resonance
Authors: Bezmen G. V. , Shevchenko A. N.
Published: May 2021

To adjust the stabilization systems that ensure the operation of the angular position or rate sensor based on the effect of nuclear magnetic resonance, it is required to choose the criteria for the quality assessing of sensor’s operation. The article presents the criteria of the quality of the angular sensor operating as a self-oscillation system. It is shown that the accuracy of the angular sensor increases when the proposed criteria are met.
Deep reinforcement learning approach for autonomous driving
Authors: Anisimov Y.O. , Katcai D.A.
Published: May 2021

The paper describes a control system for an autonomous driving car. Control systems are based on deep neural networks. Due to the impossibility of preliminary formation of a high-quality training sample for problems, the use of reinforcement learning is considered. Possible variants of the modeling environment implementation are described.
Comparative analysis of 3D convolutional and LSTM neural networks in the action recognition task by video data
Authors: Portsev R.J. , Makarenko A.V.
Published: May 2021

In the present paper a comparative analysis of two architectural neural network approaches (based on 3D convolutional and LSTM) in the recognition of actions on video is made. The problem was being solved on 10 behavior classes separated from the UCF50 dataset. The original neural network architectures were developed and pre-trained. It was found that the network based on 3D convolutions has better generalization ability and is more stable in the training.
Integrated approach to the technology of manufacturing electrostatic gyro rotors
Authors: Filippov A.Yu. , Fedorovich S.N. , Shcherbak A.G.
Published: May 2021

Technological solutions based onthe integrated approach are presented, which optimize the manufacturing process and satisfy the requirements imposed on spherical rotors of electrostatic gyros. System modelingis used to study the main stages of defining the rotor functional parameters and to constructa system of models that determines the coordinated processes of diffusion welding, precision sphere lapping and rotor weight correction. The practical results of rotor manufacturing and the prospects for accuracy enhancing are provided.
Adaptive position observer for moving object
Authors: Hoang T.D. , Pyrkin A.A.
Published: May 2021

The paper presents a new adaptive observer of the local coordinates of a moving object based on measurements of linear velocity, yaw angle (heading), and distance to a single beacon with known position. The conditions under which the algorithm is asymptotically stable are shown, as well as the states for which a robust estimate is reasonable to be used.
Optimal routing in a problem with constraints and cost functions depending on the task list
Authors: Chentsov A. A. , Chentsov A. G. , Sesekin A. N.
Published: May 2021

A routing problem with precedence conditions and complex cost functions is considered. In this problem, we must choose a starting point, a route (permutation of indices) and a specific trajectory for our process. This trajectory must be consistent with the route. In addition, this route or index permutation defines the sequence of tasks. In addition, the selection of the above route must satisfy the precedence conditions defined by the system of ordered index pairs. These ordered pairs are called address pairs. We consider the additive criterion routing problem. This criterion is natural for the problem of dismantling the system of radiation sources. In this article, we will focus on this engineering problem. In this problem very naturally cost functions arise with a dependency on the list of tasks. Namely, each time the performer touches those and only those sources that were not dismantled at that time. The solution uses widely understood dynamic programming. We build the optimal algorithm for the PC; information about the computational experiment is given.
Method for evaluating innovativeness of an enterprise in the conditions of the digital economy
Authors: Sekerin V. D. , Zaitsev I. A. , Gorokhova A. E. , Zaitseva T. S.
Published: May 2021

The article discusses a method for assessing the innovativeness of an enterprise in digital economy, based on the collection of information according to the certain assessment criteria, and also includes a developed mathematical apparatus for calculating the integral index of innovativeness. The article proposes an “Entry-Exit” assessment model.
Leonov’s Method of Nonstationary Stabilization in the Theory of Linear Control Systems
Authors: Shumafov M.M.
Published: May 2021

A brief review on stabilization problem for linear control systems is presented. The statements of Pyragas’ and Brockett’s problems for stabilization of linear control systems by time-delayed feedback control and time-varying static output feedback are given. Leonov’s algorithms of nonstationary stabilization for solutions of Pyragas’ and Brockett’s problems are presented. Necessary and sufficient conditions for the stabilizability of two- and three-dimensional systems are given.
Description of the measuring device mathematical model by the methods of quasinormed spaces
Authors: Zagrebina S. A. , Solovyova N.N. , Goncharov N.S.
Published: May 2021

The article contains a description of the measuring device mathematical model by the methods of quasi-normalized spaces. This model serves as an application to the theory of positive degenerate holomorphic groups of operators in Quasi-Sobolev spaces of sequences. This approach is relevant due to the possibility of finding positive solutions or values of the measuring device, which means that it is more consistent with the physical meaning. Indeed, as a rule, we talk about its absence when we get a negative or imaginary value of a quantity that is positive or real in meaning
On problem of optimal observers’ placement on plane
Authors: Galyaev A.A. , Samokhin A.S. , Samokhina M.A.
Published: May 2021

A plane problem for optimization of stationary sensors placement in a threat environment to counteract an evading object is considered. For this purpose, an auxiliary task of constructing locally optimal paths of the evading object for a given configuration of sensors is solved. Integral risk functional is minimized for the evading object. The minimum of this functional is required to be maximized in the task of sensors placement. The paper describes the methods of solving both problems and the results of numerical modeling for the case of 2 sensors: examples of local optimal path maps, and the best found configurations of sensors placement.
Ship Routes Planning Based on Traffic Clustering
Authors: Grinyak V. M. , Shulenina A. V. , Ivanenko Yu. S.
Published: May 2021

This work is about navigation safety of marine traffic at sea areas. In addition to traditional approach of danger situation detection based on vessels approaching, the current paper introduces another metrics derived from kinematic parameters of the vessel to identify whether it follows patterns (rules) of the traffic at a certain sea area. Authors focused their efforts on analyzing existing traffic schemas in order to identify its danger level in general rather than scrutinizing individual cases. Along with the traditional approach of sea traffic schema identifications, we propose an original method of automated identification of sea traffic schemes based on clustering of movement parameters using historical AIS data. For the clustering decomposition subtraction clustering algorithms were considered. The historical AIS data of sea traffic at Tsugaru strait is used for identifying traffic schema and ship routes planning with the model designed under presented research.
Solving data collection tasks in heterogeneous distributed software intensive system using model approach
Authors: Abbas S. A. , Vodyaho A. I. , Zhukova N.A. , Chervontsev M.A.
Published: May 2021

The article discusses possible approaches to data collection and information collection in multi-level distributed systems. It is suggested to use model based approach. The requirements to these models are analyzed and the system of models is proposed. The system of models describes the structure and behavior of the observed system in terms of graphs. The resource graph, the data flow graph, the control flow graph, and the query flow graph are used. These graphs are automatically constructed on the basis of information received from the observed system in the form of log files. A virtual machine that implements this approach is proposed.
Information and analytical collective decision-making support using intelligent technologies
Authors: Chernyakhovskaya L.R. , Malakhova A.I. , Nikulina N.O. , Batalova V.I.
Published: May 2021

The issues of organizing collective decision-making support for innovative project teams are considered. Research relevance is justified by the need to reduce the degree of uncertainty in decision-making during the projects set implementation, using accumulated corporate experience and knowledge. A synthesis of the subject area and information systems functionality ontological models is proposed. This will improve the efficiency of information system reengineering and the quality of made decisions, among them during the process of collective decision-making support system development.
Metric Identification for Random Value Density Distribution
Authors: Tsvetkov E.I. , Suloeva E.S.
Published: May 2021

The problem of metric identification of probability density distribution for a random value is considered. It is shown that the accuracy is determined both by the sample size and by the number of intervals into which the domain of its determining is divided.
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

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

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

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

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

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

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

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

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.
General construction principles and performance features of trajectory processing by data from one radar data source
Authors: Solonar A.S. , Khmarski P.A.
Published: May 2021

The general principles of construction and features of the operation of the trajectory processing device based on data from one source of radar information are considered. The tasks performed and structure of the trajectory processing device are discussed.
A comparative analysis of control allocation methods applied to autonomous underwater vehicles
Authors: Kostenko V. V. , Tolstonogov A. Yu.
Published: May 2021

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

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

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

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

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

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

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

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

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

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

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

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

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

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.