bluuebunny/crossref_metadata_2025 huggingface dataset:
INTELLECTUAL GRAPH MODELS FOR RELATED DATA PROCESSING
Authors: Arseniev D , Baskakov D. , Shkodyrev V.
Published: May 2021

In connection with the wide spreading of various intelligent sensors, IoT devices, smartphones, autonomous transport systems, various industrial and home automation systems, an unprecedented amount of data is generated, including those intelligently linked to each other. Linked data allows you to build complex and varied relationships between objects and subjects of the real world. Unfortunately, modern big data processing systems and machine learning models are extremely poorly suited for working with such dynamically linked data, especially in the case of real-time systems. We discuss current and future-proof approaches to working with such data using graph analysis models.
Multi-dimensional object estimation by its deviation from goal
Authors: Mikoni S.V. , Burakov D. P.
Published: May 2021

In the paper, an approach for estimation of objects relative to specified target that was proposed by Wierzbicki A. P. is analyzed. It is asserted that this approach does not contradict with using utility (value) functions and weight coefficients at generalizing function for solving the same task. This assertion is justified by a mutual inverse relationship between functions estimating the goal achievement and deviation from a goal. It is shown that the deviation functions additionally allow solving such problems as ordering objects by penalties and bonuses, as well as by deviation from the norm. Using a simple medical example, the results of ranking patients by deviation from the norm, obtained by the criterion of minimax optimization and the additive generalizing function, are compared with equal and different values of the weighting coefficients of the indicators.
Networks of Autonomous Real-Time Agents in Environments with Counteraction: Features and Components of the Model
Authors: Gorodetsky V. , Panteleev M.
Published: May 2021

A group behavior and control model in a system consisting of autonomous real-world and Internet objects with opposition is considered. The urgency of the problem is due to the growing role of Internet technologies in competition models in economics, politics, computer security, etc. The problem model is analyzed in the context of the Boyd Cycle. The tasks of the cycle phases are formulated, a multi-agent model of the behavior of autonomous objects and the digital twin of the external environment in the control loop is substantiated. The necessity of using the model of a unified semantic knowledge and data space is argued.
Robust Control of a Multi-Degree-of-Freedom Electromechanical Plant with Adaptive Disturbance Compensation
Authors: Quang Le Hong , Putov V. V. , Sheludko V. N.
Published: May 2021

This paper considers the problem of control of a multi-degree-of-freedom (multi-DOF) nonlinear electromechanical plant with elastic properties and an external unknown disturbance. The unknown disturbance is assumed to be deterministic and is represented as an output of a linear autonomous model with unknown constant parameters. To solve the problem of adaptive disturbance compensation, an adaptive observer of an unknown deterministic disturbance is applied. A nonlinear robust control of a multi-DOF elastic electromechanical plant, synthesized on the basis of the integrator backstepping method and combined with adaptive robust disturbance compensation, is also being developed. The simulation of the designed nonlinear control of a multi-DOF plant with adaptive robust compensation of disturbances is performed using the MATLAB / Simulink software.
Study into Lorenz dynamic system
Authors: Belskii G.V. , Prikhodko I.A. , Vtorov V.B. , Vasiliev E.A.
Published: May 2021

The examination of chaotic phenomena origination and their dynamics is a promising area of studies into technical malfunction forecasting. This paper provides analysis of the Lorenz system on a basis of the expansion with the ‘Caterpillar’-SSA method. The trend, periodic and non-cyclic components are determined. The necessary number of principal components for time series reconstruction on a basis of Lorenz system is obtained.
Model of Data Collection Control in the Internet of Things on the Basis of Social Network Technologies
Authors: Zhukova N A , Thaw A M , Evnevich E L
Published: May 2021

The paper deals with the issues of data collection in the dynamic Internet of Things network. An approach proposed is based on the models and methods of social networks analysis along with clustering methods commonly used in this case. The developed hybrid model tracks contacts between nodes of the network thus creating “social relationships” for each node and estimates the number and the frequency of “social contacts” characterizing the degree of “friendships”. After fixing the contacts between nodes the model takes into consideration only the nodes connected by “friendship” relation. Data collection based on “social structure” provides higher security level and shows the enhancement as regards energy saving and delays of data transfer.
The methodological basis and the technique for objectifying logical results of systems analysis in production sphere
Authors: Lukyanova L.M. , Fedorchenko L.N. , Lukyanova N.Y.
Published: May 2021

Significant weight of subjective models used in the systems analysis is discussed. It reduces degree of correctness (coherence and completeness) of planning and managerial decisions as results of the systems analysis in the production sphere and causes costs of production in the decisions realization. That is why a methodological basis for decision-makers objectifying the systems analysis results is so urgent. It is based on the original system-goal approach, logical and linguistic models of goals, semantic model of structure of goals and semiotic model of reasoning about goals. Three main tasks for objectifying the results of systems analysis are set. Schemes, the main procedures, instructions and examples for the task solution are given.
Modeling of controlled biological treatment processes in the bioreactor of University of Cape Town
Authors: Grudyaeva E.K. , Dushin S.E.
Published: May 2021

The paper is devoted to the study of processes in the bioreactor with the structural scheme of the University of Cape Town. The ASM1 mathematical model was used to study purification processes. Operating values of recycle flow rates are determined depending on input flow rate required for effective purification of ammonium nitrogen, and a method is proposed to expand the range of control of these values in combination with regulation of oxygen supply to the aerobic zone of the reactor. The specific role of the aerobic zone in the UCT reactor having a key role and affecting both nitrification and denitrification due to nitrate recycling is shown.
On the compatibility of topologies of parallel tasks and computing systems
Authors: Zadorozhny A.F. , Melent’ev V.A.
Published: May 2021

Aspects of compatibility of topologies of parallel computing systems and tasks are investigated. The introduction of appropriate indexes based on the original topological model of parallel computations and on the nontraditional description of a graph by its projections is proposed and elucidated. On the example of hypercubic computing system (CS) and tasks with ring and star information topologies, we demonstrate determining the indexes and their use in a comparative analysis of the applicability of interconnect with a given topology for solving tasks with the same and different types of information topologies.
Digital platform for forest resources monitoring in the BAIKAL natural territory
Authors: Bychkov I V , Ruzhnikov G M , Fedorov R K , Popova A K
Published: May 2021

Forest is the most important natural resource of the Baikal natural territory (BNT), which ensures sustainable development of the ecological system of the Lake Baikal, performing water protection, soil protection and water regulation functions. The article describes the issues of transition to a new technological order - the creation of a digital monitoring platform to support the rational use of forests. We formulate characteristics of the current state of forests and analyze the problems of forest resources monitoring in the BNT. We consider the types of digital platforms of different levels and propose basic requirements for forest digital monitoring.
Human activity recognition by wearable sensors in the smart home control problem
Authors: Nebogatikov I.Y. , Soloviev I.P.
Published: May 2021

In this work we analyze and compare machine learning methods for recognizing human activity in the context of smart home by using data obtained from an optical heartbeat sensor and an accelerometer embedded in a smart watch, and find a number of activity classes that can be predicted. The conclusion is made that for such type of problems the random forest method with about 10 classes shows the best results.
Comparison of methods for automatic classification of Russian-language texts
Authors: Karuna E.N. , Sokolov P.V.
Published: May 2021

In this paper, a comparative analysis of methods for automatic classification of text information using various machine learning algorithms based on artificial neural networks is carried out. The paper presents results of the text classification considering various ways of a vector space formation, such as bag-of-words, n-gram, word embedding, and various architectures of neural networks. The research is based on the text corpus in Russian.
Control of information security monitoring perimeter of industrial facilities
Authors: Fatkieva R. , Evnevich E.
Published: May 2021

In the process of monitoring industrial facilities information security, the sets of heterogeneous data are generated by different monitoring tools which are to be processed according to various regulatory documents not always compatible with each other. Definition of a set of security characteristics based on perimeter monitoring data and determination of security level carried out mostly by calculating integral indicator do not take into account some aspects of security. The method is proposed for the harmonization of industrial facilities interaction and for the formation of a set of security indicators on the basis of formalized subject domain description and unified data description scheme.
Information technologies in the management of technical systems - development of the engineering education
Authors: Kotova E.E. , Korablev Yu.A. , Pisarev A.S. , Shestopalov M.Yu.
Published: May 2021

The current level of production development requires the training of qualified specialists capable of solving complex scientific and technical problems in the field of technical systems management using rapidly changing information technologies. Consequently, the training of professional personnel should provide for the needs of developers of advanced control systems for complex dynamic objects. This problem is successfully solved at the Department of Automation and Control Processes (ACP department) in ETU “LETI”. Students training is carried out in two complementary directions “Management in technical systems” and “Information systems and technologies”. Long-term experience proves the advisability of choosing such an approach in the context of rapidly developing technologies. The report contains studies based on the application of data analysis methods and models that dynamically integrate the information necessary for adaptive management of the process of advanced specialists training. The dataset includes: actual employers’ data, production needs, on the one hand, data obtained during the educational process, on the other hand. At the same time, the data set includes data that enable students to assess the effectiveness of the educational services provision, the level of professional training in the areas of specialty. Comprehensive analysis of data integrated in a unified environment, based on the methods of intelligent systems, analytics and knowledge engineering, proves the validity of choosing this approach in the learning process.
Background and prospects for creation of automatically controlled large ekranoplane
Authors: Nebylov A.V. , Nebylov V. A. , Panferov A. I.
Published: May 2021

The Orlan (Russia) and the Pelican Ultra (USA) ekranoplane projects are analyzed and compared in terms of their design features and applications. Particular attention is paid to the challenges the designers faced while creating ekranoplanes and their control systems. The originality of the tasks that have to be solved by modern and advanced control systems of ekranoplanes, is considered.
Features of synthesis of ekranoplane control systems
Authors: Nebylov A.V. , Panferov A. I. , Brodsky S. A.
Published: May 2021

The article deals with the theory of designing ekranoplane control systems, taking into account the features of their dynamic properties and operating conditions. Flying at low altitude over an uneven surface is accompanied by powerful periodic and pulse loads caused by the roughness of the underlying surface. In addition, with small changes in altitude, the controllability and stability of the ekranoplane changes significantly up to loss of stability. For the synthesis of the ekranoplane control system, a new method for calculating a nonlinear mathematical model of an ekranoplane based on the CFD Comsol Multiphysics and Matlab programs is proposed. The results of simulation are presented.
Controlling the security of the airport airspace using the digital twin
Authors: Yurkevich E.V. , Stepanovskaya I.A.
Published: May 2021

The article aims to develop a neural model for digital air traffic control. The proposed approach uses the concept of socio-cyber-physical self-organization of distributed organizational and technical system, whose components are connected to 4G and 5G generation wireless networks. The advantage of the approach is complex integration of promising analytical management principles and their representation in hybrid intellect.
Optimization-based method for interplanetary spacecrafts passive navigation
Authors: Sazonov V.V. , Samylovskiy I.A.
Published: May 2021

During deep space missions, planning and realization of dynamic operations (orbit and attitude correction manoeuvres, landing in target areas, etc.) require fast determination of spacecraft position. Due to the objective difficulties of interplanetary communication, it is interesting to solve this problem using the data from onboard sensors (in particular, the optical ones). What is more, most “transportable” of these devices give out “angular” (or quaternion) representation of reference objects’ positions instead of rectangular coordinates or at least distances. Thus, one faces the problem of determination of spacecraft state vector (in a rectangular coordinate system) from the data in “angular” coordinates in the coordinate system of measurement devices. We suggest to determine the spacecraft state vector at the required time as a solution to the problem of minimizing the quadratic cost that determines the difference between the “simulated” measurements (i.e., those that would have been made on the “simulated” trajectory generated by a current state vector approximation) and the real ones (i.e., those that were obtained from on-board sensors). To find a solution, we use a software implementation of the Levenberg-Marquardt method and a prototype of a software package that allows one to configure spacecraft sensors set and the measurement series parameters.
Mathematical model of free-flying space manipulation robot when approaching a non-cooperative spacecraft
Authors: Kozlova N.Yu. , Fomichev A.V.
Published: May 2021

The paper investigates the service satellite control system when approaching a non-cooperative spacecraft in the state of uncontrollable motion. The service satellite control system is considered as a two-level multichannel control system, and multicriteria optimization methods with cross-links are developed. The mathematical model of the control system for a free-flying space manipulation robot at the guidance and stabilization phase is proposed. The efficiency criteria are presented.
Autonomous attitude and orbit control of a space robot inspecting a geostationary satellite
Authors: Somov Ye , Butyrin S , Somov S
Published: May 2021

Methods for the motion control of a space robot flying by an information geostationary satellite during visual inspection of its technical state are considered. The robot attitude and orbit control system employs electric propulsion unit with 8 catalytic propulsion engines and pulse-width modulation of their thrust, and also a gyro moment cluster based on 4 gyrodines with digital control. The results of computer simulation demonstrating the effectiveness of the developed discrete control algorithms are presented.
Set of dynamic restrictions imposed on robotic arm-based motion simulator phase coordinates
Authors: Lemak S. S. , Chertopolokhov V. A. , Makarov M. A.
Published: May 2021

The paper discusses the motion cues simulation problem for aerospace applications. An algorithm was suggested for controlling a motion stand based on an industrial robotic manipulator. The paper provides simple mathematical model reflecting the movements of manipulator’s endpoint in the vertical plane with the base performing rotational movements and presents a restriction set in the configuration space. We provide an algorithm for manipulator’s stopping and returning to the start position of a motion simulation process active phase. A set of restrictions for the motion simulation active phase is also obtained.
Convolutional neural networks for solving problems of signal processing from segmental distributed fiber optic measuring networks
Authors: Kulchin Yu. N. , Kim A.Yu.
Published: May 2021

The work is devoted to the problem of critical situations recognition in real-time and localization of increased acoustic vibration in critical objects, based on the signals from segmental distributed fiber-optic measuring networks (DFOMN). To solve the problem, an architecture is proposed, and a model of a situational approach to using the Convolutional Neural Network as an effective classification method for processing large data arrays of the DFOMN is developed.
Quality indicators of devices for trajectory processing of radar information and methods of their testing
Authors: Khmarski P.A. , Solonar A.S.
Published: May 2021

The indicators of the quality of devices for trajectory processing of radar information and methods of their testing are considered. Practical recommendations are proposed that simplify the assessment of quality indicators of trajectory processing devices.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Against 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

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.
The zonal North Pacific Oscillation: a high-impact atmospheric teleconnection pattern influencing the North Pacific and North America
Authors: Zhuge Anran , Tan Benkui
Published: May 2021

Based on unfiltered daily Japanese 55 year reanalysis covering the 60 winters in 1958–2018, a new teleconnection pattern called the zonal North Pacific Oscillation (ZNPO) pattern has been detected. The ZNPO pattern describes a mass oscillation in the troposphere between the eastern and western North Pacific, persisting for a week or so. It is shown that the ZNPO pattern is a high-impact teleconnection pattern that brings the wintertime North Pacific and North America severe weather and hydroclimate events. It may cause rapid surface air temperature drop or rise over the northern North Pacific and North America, remarkable sea ice concentration anomalies over the northeastern Bering Sea, and strong convective anomalies in the lower troposphere over the eastern and western midlatitude North Pacific. The ZNPO pattern arises from two westward-moving geopotential height disturbances over the North Pacific and North America and is driven mainly by baroclinic energy conversion and feedback forcing by transient eddies. The baroclinic energy conversion acts to overcome the available potential energy (APE) loss caused by the heat flux of transient eddies and at the same time acts as a major kinetic energy (KE) source to maintain the ZNPO pattern. The barotropic feedback forcing by transient eddies acts as a major KE source to drive the ZNPO pattern during the growing stage of the ZNPO pattern and as a major KE sink to heavily damp the ZNPO pattern during the decaying stage.
Construction and application of spatiotemporal information infrastructure and service standard system
Authors: Zheng Ying , Fu Qiang
Published: May 2021

Based on the current application of geospatial technology in China, this paper constructs the hierarchical structure and category definition of the framework of spatiotemporal information infrastructure and service standard system according to the actual requirements of spatiotemporal information infrastructure and service standards, and expounds its future application and development trend. In order to provide reference for the future development of spatiotemporal information industry.
Analysis and Excavation of the Design Concept of Special Sea Atlas
Authors: Yu Caixia , Lu Yan , Lin Haifeng , Luan Jun , Li Shujun
Published: May 2021

Atlas design is a creative mental processing, with few fixed ideas and patterns to follows. Taking“XXX Company’s Global Maritime Trade Achievements” as an example, this paper explores and mines the formation of design concept as well as the complementation process of design scheme of the special marine atlas, which can provide reference for the design of the special sea atlas latter.
Forecasting Earthquakes in Qinghai-Tibet Plateau Using Rescaled Range Analysis
Authors: Xu Linfeng , Chen Jiemin , Liu Zhixin , Liu Yan , Tian Jiawei
Published: May 2021

Fractal analysis provides a powerful method for studying complicated natural phenomena. This paper employs fractal analysis to study seismology based on the statistical fractal concept and provides a simple overview for analysing the temporal distribution and fractal characteristics of seismic activity. We delve into the self-shot fractal characteristics of seismic activity by using an analysis of the Rescaled Range scale invariance of seismic time and time interval sequences.
Research on the Coordinated and Sustainable Development of Jiangsu Power Grid under the “Double Carbon” Goal
Authors: Li Bingjie , Ge Yi , Xu Chao , Shi Jing , Chen Meng , Geng Shiping , Cheng Chen
Published: May 2021

Under the “double carbon” goal, renewable energy power generation will become the mainstream power generation in the future. The offshore Jiangsu Province has relatively abundant renewable resources, and it also creates favorable conditions for Jiangsu Power Grid Corporation to invest in renewable energy power generation business in the future. The new round of power system reform has had a profound impact on the determination of the investment scale of power grid companies and the optimization of the investment structure. This article first sets the future power supervision scenarios, and then measures the investment capacity and investment needs of power grid companies under different scenarios, determines the investment scale, conducts a coordinated analysis of investment capabilities and investment needs, matches investment capabilities and investment needs, and satisfies investment Under the premise of demand, improve investment efficiency, and finally realize the coordinated and sustainable development of Jiangsu Power Grid investment.
Study on Measurement Error of Power Frequency Electric Field Intensity Caused by Change of Air Dielectric Constant with Humidity
Authors: Zhou Bin , Zhang Kai , Li Yu , Yang Lan , Ni Jiang
Published: May 2021

People are paying more and more attention to the influence of power frequency electric field on their living environment, so the measured value of power frequency electric field under AC transmission line becomes an important reference for judging whether the surrounding environment is polluted or not. In actual measurement, it is found that the measured value of electric field intensity in high humidity areas is often relatively large. This paper will investigate the influence of the change of air dielectric constant on electric field measurement. Through experiments and simulations, it is found that air dielectric constant increases with the increase of humidity, which increases rapidly before the ambient humidity reaches 75%, and increases slowly after the ambient humidity exceeds 75%. However, it was found by simulation that the change of air dielectric constant has no obvious influence on the surrounding electric field intensity. Therefore, the change of air dielectric constant is not the main factor leading to relatively large measured value of field intensity in high humidity areas.
Research and Analysis of Phase Modulation Method of Standby Power Transmission Line Based on TSPST
Authors: Wu Xuxin , Liu Yili , Ren Zheng , Liu Weiming
Published: May 2021

When the power plant fails, in order to reduce the excessive inrush current generated by the switching of the backup power supply to the electrical equipment, the backup power supply was unable to switch quickly. This article mainly studies and analyzes a power supply method based on TSPST to adjust the phase of the standby power transmission line and make corresponding design and calculation for the theory and structure of the process. According to the actual parameters of the project, the power supply method is simulated and analyzed. According to simulation experiments, the feasibility and reliability of the proposed power supply method are verified.