bluuebunny/crossref_metadata_2025_split huggingface dataset:
Performance degradation assessment methodology of harmonic reducer by using low-frequency time series data and genetic programming
Authors: Yan Tongtong , Bi Zhihao , Liu Jihao , Zhao Yanzheng , Zhao Yiyang , Wang Dong 
Published: August 2021

Abstract
The harmonic reducer, as an important transmission component in the industrial robot, determines the positioning accuracy, carrying capacity, and service life of the industrial robot. However, the performance and reliability of harmonic reducer will gradually decline or even fail under long-time and high-intensity operations. The sudden stop and failure of the industrial robot will directly affect production efficiency. In this paper, a data-driven method for performance degradation assessment (PDA) of the harmonic reducer is studied. An accelerated degradation test rig was set up to collect the run-to-failure datasets of harmonic reducer, including process data, such as torque and speed, and non-process data, such as vibration signals, which were captured under a low sampling frequency. Firstly, a sliding window-based kurtosis and root mean square (RMS) are applied to non-process data, which can detect the incipient failure time (IFT) of harmonic reducer. Subsequently, a data-level fusion of process data is conducted based on genetic programming to construct a monotonic health index for degradation assessment and trend analysis. The experimental study shows that the proposed method is effective to realize the PDA of harmonic reducer.
Joint optimization strategy of condition-based preventive replacement and spare parts ordering for multi-unit systems
Authors: Ye Hongqing , Wang Haochen , Su Huade , Lin Jie , Weng Wei , Zheng Meimei 
Published: August 2021

Abstract
To solve the joint optimization problem of condition-based maintenance and spare parts ordering for multi-unit systems, an exact formulation based on the Markov decision process is proposed. The condition of components is described by a continuous process, i.e., the Wiener process. The system is inspected periodically and the remaining useful life is updated based on components’ condition. Through the value iteration algorithm, the optimal policy is obtained by minimizing the average maintenance and ordering cost. A numerical investigation with a two-unit system is conducted to validate the effectiveness of our policy by comparison with the threshold strategy.
Design and Analysis of PCB Transformer in Direct Current Distribution Network
Authors: Tao Ma , Lei Hou , Maopeng Zhang , Yajie Zhang , Yusen Zhang , Zhen Sun 
Published: August 2021

Abstract
In order to accurately calculate the leakage inductance of the PCB transformer and improve the reliability of the PCB transformer, a PCB transformer is designed and analyzed in this article. Firstly, the magnetic core and winding design of the PCB transformer are studied in this paper, and the leakage magnetic field and temperature field of the PCB transformer are calculated by using the finite element software. Finally, experiments were performed on the leakage magnetic field and temperature of the PCB transformer to verify the correctness of the proposed scheme.
Bridge Design between AXI Lite and AHB Bus Protocol
Authors: Patel Jaymin , Shah Yash , He Lili 
Published: August 2021

Abstract
Architecture of bridge model between AXI Lite and AHB for this paper were simulated using Synopsys VCS and DC in Verilog HDL. Bridge structure mainly comprises of arbitration techniques, control signals, multiplexing techniques for writing data signals and Decoder for reading data section. In this work, bridge model between AHB and AXI lite was simulated and characterized. The proposed model of bridge design provides efficient communication between on chip bus protocols like AXI and AHB on chip in the era of deep sub-micron technology where channel side is reduced as much as 5 nm.
Voltage Stability Analysis based on Power Voltage (P-V) and Reactive Voltage (Q-V) Curves in Transmission Lines Using Static Var Compensator (SVC) with the Power Factory Program
Authors: Valentin Nilson , Prieto Erick , Chauca Mario 
Published: August 2021

Abstract
Due to the great demand for energy, electrical power systems, when subjected to voltage stress, present voltage instability, generating blackouts in the system with economic losses and in the components. Through a static approach, the P-V and Q-V curves are widely used in operation studies, planning that allow us to detect the weakest bus in the system to obtain the exact location in which to connect the SVC to compensate with reactive power in order to have system voltage stability. Through this article, we evaluate a voltage stability study on the IEEE-9 bus with the Dig-Silent Power Factory 2020 program in order to compensate the system with reactive power.
Research on Fault Tolerance Consistency of Multi - Agent Based on Event Triggering Mechanism
Authors: Wang Jun , Li Yali 
Published: August 2021

Abstract
For the multi-agent system with directed topology, considering the possible actuator faults of any agent, the robust H
∞ fault-tolerant consensus controller design problem is studied when the system is disturbed by external finite energy. Firstly, a distributed event-triggered fault-tolerant consistency protocol is proposed, which is used to transform the fault-tolerant consistency of distributed multi-agent systems into the stability of time-delay systems. Secondly, by using Lyapunov stability theory, a sufficient condition for the fault-tolerant consensus of the multi-agent system is given for the actuator faults that may occur in any agent. A cooperative design method that saves network communication resources and realizes fault-tolerant consensus control is obtained, which makes all states of the fault multi-agent system asymptotically consistent and has a certain disturbance rejection performance. Finally, the feasibility and effectiveness of the proposed method are verified by simulation.
Design of a Robot for Pipeline Weld Quality Inspection
Authors: Li Cui , Zhou Ruitao , Wang Xiaohui 
Published: August 2021

Abstract
In the quality assessment of welding engineering, quality of the weld can reflect the welder’s technical level, and also serves as the basis for preliminary judgment of the quality of the weld. Therefore, the appearance quality inspection of the weld has an important position in the welding quality assessment. This paper designs a pipeline weld quality inspection robot based on visual inspection. Inspectors control the motor, lights and camera pan-title of the pipeline robot through WiFi to realize the accurate positioning of the robot and the shooting and transmission of real-time images. The movement distance of the robot is recorded by the encoder to ensure the accurate positioning of the robot; the motor speed is adjusted to ensure the level of the pipeline robot body; the height and rotation angle of the pan-tilt are adjusted to ensure that the camera shoots the weld image radially at the center of the pipeline. The experiment shows that the transmission of robot image is smooth, and actions can be completed according to instructions.
Minimalistic Control Scheme for the Development of Search Tasks with Flocks of Robots
Authors: Martínez Fredy 
Published: August 2021

Abstract
This paper proposes a minimalist strategy of agent coordination in a multi-robot system with flocking behavior intended for the development of search tasks in dynamic and unknown environments. The minimalist design principle seeks the ability to implement the strategy on small low-cost robots, with hardware limitations, and with small functional variations among them, a real case of most robotic platforms. We also seek a robust decentralized strategy (without central control) where all agents are virtually identical from the functional point of view, and therefore the damage of a fraction of these agents does not prevent the development of the task. In this sense, our scheme is based on local readings, from which the agents identify the region of the environment in which they find themselves, including obstacles and neighboring agents, and from this information autonomously establish their movement strategy to produce the flocking dynamics to the system. The navigation of the environment is guaranteed by relaxed ergodic movement rules, and the convergence of the search process is achieved by grouping a given number of agents in a particular region of the environment. The strategy was successfully evaluated by simulation by replicating the functional characteristics of real robots and scaling them to large populations.
Analysis on Network Traffic Features for Designing Machine Learning based IDS
Authors: Meemongkolkiat N , Suttichaya V 
Published: August 2021

Abstract
An intrusion detection system (IDS) is the most important technology for securing network systems. It can dynamically monitor network traffic for malicious activities that are aimed to violate confidentiality, integrity, authenticity, and availability of the network. Currently, several Machine Learning (ML) techniques are used to design and implement IDS since ML techniques can capture the complex nature of cyberattacks. However, network traffic information usually contains unimportant features that can deteriorate the efficacy of ML-based IDS. This research analyses the critical features in network traffic to be used for design/implementing the effective ML-based IDS. The selected features are applied to different ML methods to test the effectiveness. This research is conducted on the CICIDS2017 dataset generated by the Canadian Institute of Cybersecurity, using 30 percent of the full datasets and 100 percent of the Wednesday set. The best result achieved for 30 percent of the full set is by using 30 chosen features with the Bagging ensemble classifier giving the accuracy of 99.9 percent with the false-positive rate as low as 0.03 percent. The best result achieved for Wednesday set is by using the Random Forest Classifier which achieves an accuracy of 99.9 percent and a false-positive rate (FPR) of 0.02 percent.
Context Aware Combat COA Recommendation using Preference Learning
Authors: Jin Xin , Wang Xinnian , Cai Fei 
Published: August 2021

Abstract
In the daily combat readiness duty, faced with emergencies, time window left for decision-making is limited, far from enough to research and design a totally new COA (Course of Actions). However, using the state-of-the-art AI technologies, it is yet unable to autonomously generate COAs of trust. From the perspective of practicality, it is effective to improve emergency response efficiency, by making use of historically accumulated COAs. Similar problems have similar solutions, which is especially suitable for fields with incomplete knowledge systems and limited data accumulation. An intelligent method of COA recommendation is proposed, which can accurately recommend appropriate COAs based on current mission requirements, battlefield situation, and preferences. Based on the recommended COAs, user can form a new COA more efficiently, faced with emergencies. As a solution for AI technology supported combat decision making closer to practical, the method has certain reference value.
The “Delegate of Data Protection”: Strategic Planning in information security Case Ecuador
Authors: Jácome Tannia Cecilia Mayorga , Jumbo Joe Luis Carrión , Bravo Álvaro Gabriel Benítez , Herrera Henry Rodrigo Vivanco 
Published: August 2021

Abstract
Information security over time has been taking important scenarios in the world, along with regulations and laws have had to adapt to this evolution in such a way that protection, compliance, and sanctions are guaranteed. A sample of this is the new European Data Protection Regulation in force since May 25, 2018, where it administers the function of “Data Protection Delegate” (DPD) or Data Protection Officer (DOP). Since this position is new to the rest of the world, concerns arise about the functions that it will have to fulfill in Latin American countries, where most of them already have a Data Protection Law but not with the position of Delegate as such. This study aims to justify the need for this new position, through a SOWA analysis of PESTEL, compilation of reports, interested stakeholders of the project, in addition to publicizing the guidelines, roles, fields of action, risk prevention and audit in terms of compliance.
A comprehensive model for the forest fire consequences assessment
Authors: Mochalov V F 
Published: August 2021

Abstract
A model for the forest fire consequences assessment based on integrated processing of multispectral space imagery and ground survey data is presented. The focus is on the following steps: initial data gathering for further automated clustering of landscape elements; clustering; and cross-validation of the results of the forest fire consequences assessment. The modelling assesses the following indicators: the burned area size, forest fire type, and the main burned plant community types.
Estimation of forest lands value by David Ricardo differential rent theory, linear programming model and GIS technologies
Authors: Alekseev A 
Published: August 2021

Abstract
Integrated research approach joining the David Ricardo theory of differential rent, linear programming theory and GIS technology used for developing the methodology for differential rent determination and calculations for forest lands in the way similar as to agricultural ones. Special linear programming model was developed and resolved to obtain the rent estimations on the base of information offered by GIS data base on forest plots productivity and location regarding transportation network characteristics. Implementations of forest rent estimations for forest lands value assessments, forest management and economics was discussed. Rent values was calculated as an example for Lisino training and experimental forest of Saint-Petersburg State Forest Technical University. As a result of implementation of rental approach for forest resources assessments the value of forest lands significantly elevates as much as approximately on 5 times. Forest rent as an extra income originated from forest plots natural characteristics suggested to be used as a main source of so-called “long-money” needed for investments in forestry especially in boreal zone with long rotation period.
Selecting a harvester head using digital modeling
Authors: Karpachev S P , Bykovskiy M A 
Published: August 2021

Abstract
The article presents theoretical and experimental studies on the justification of the harvester head selection. A mathematical model of the harvester’s work has been developed based on natural and constructional-technological factors. The results obtained make it possible to justify the characteristics of the harvester head for the Siberian region of Russia, in particular, the maximum width of the gripping levers opening of the harvester head. When selecting the harvester head, it is recommended to proceed from the fact that some of the large trees can be left in the cutting area. Felling of such trees can be done with chainsaws. For the forests of the Siberian region of Russia, a harvester head with a maximum width of the gripping levers opening of the harvester head of 750-850 mm is recommended. In this case, the harvested number of trees without taking into account the thin gauge will be 94.1-99.1 % of the total number of trees in the cutting area, and the volume of harvested wood-99.1-99.9 %.
Remote sensing for environmental safety of forest ecosystems within the tailings impact of a closed tin ore company
Authors: Krupskaya L T , Orlov A M , Bubnova M B , Filatova M Y , Kolobanov K A 
Published: August 2021

Abstract
The article presents the results of the study of the problem of developing the scientific basis for ensuring the ecological safety of forest ecosystems using remote sensing of the Earth. We are talking about increasing the degree of their protection in the conditions of increasing the negative impact of pollution by waste from the processing of tin ores in the Vysokogorsky tailing dump of the closed Khrustalnensky GOK. Therefore, the aim of the study was to use methods of remote sensing of the impact on the forest ecosystems of the tailing dump to solve environmental problems. The article presents the principles of ensuring their environmental safety from waste, taking into account geoinformation technologies. The article presents an analysis of the current state of the tailing dump surface as a source of intensive technogenic pollution of forest ecosystems, and an assessment of the processes of evolution of environmental components after the termination of technogenic impact using remote sensing of the Earth. The use of remote sensing methods made it possible to clarify the migration routes and the nature of the flows of pollutants from the discarded tailing dumps. Ways to reduce their negative impact on forest ecosystems have been developed.
Universal competence “communication” in the digital age
Authors: Lukyanova L V 
Published: August 2021

Abstract
The article examines a new didactic approach to the formation of the universal competence “communication” in the framework of the course “Oratory and Rhetoric”. The strategic goal of training is to bring up a strong linguistic personality with a high level of speech-thinking culture. In the proposed training system, a modern polycode text becomes a promising object of analysis and a tool for the development of communicative competence. The results of scientific and methodological research have been tested by the author in contact and distance activities involving graduate students of St. Petersburg State Forest Technical University; they are reflected in the work program of the discipline and in the textbooks prepared by the author. The results obtained testify to the effectiveness and prospects of the chosen approach.
Algorithms for calculating schemes of transport routes in a felling area
Authors: Rego G E , Grigoreva O I , Voronov R V 
Published: August 2021

Abstract
The study considers the problem of constructing routes for the export of timber. The task reduced to building a rooted tree. The study presents two approximate algorithms for solving the problem of covering polygons with rooted trees. To simplify the task, the polygon is covered with a square grid. A greedy algorithm is described that should give an approximate solution. The article also describes the branch and bound method with a reduced number of iteration options. We have reduced the number of iterations by using a special way of building links.
Digitalization as a tool for increasing business process efficiency in logging
Authors: Zagorodniy D V , Tereshchenko S V 
Published: August 2021

Abstract
The article considers digitalization as the main factor in optimizing business processes in logging. Analyzed the main trends that affect the digitalization of the industry and arising issues in this process. This article discusses the role and criteria of data and information reliability and how you can use them to create better products. The author proceeds from an understanding of the important role of data in the modern logging process and creating a working production platform on its basis. The results outline the main factors that will contribute to the successful development of digital technologies in logging.
The methodology for solving the multi-criteria problem of choosing a tool for the development of intrapreneurship for Russian corporates
Authors: Ivanov S A , Nemilentsev M K , Zementckii I V , Shchipanov E F 
Published: August 2021

Abstract
The article is devoted to the problem of the development of innovations within the framework of internal entrepreneurship (i.e. intrapreneurship). The main objective of the study is to develop a methodology for solving the multi-criteria problem of choosing a tool for the development of intrapreneurship for a private or public company, regardless of its industry affiliation. The relevance of the intrapreneurship problematics for modern Russian corporates is revealed. As a result, a conceptual model of the decision support system is proposed, and directions for its refinement and complication are indicated.
Calculation of the coal seam natural gas content
Authors: Ryabtsev A A , Kozyreva Ye N 
Published: August 2021

Abstract
A research and methodological approach to calculating coal seam natural gas content and coal methane spatial resource evaluation is introduced in the paper. The research is based on the geological survey data about inclosing massif stratigraphy and natural properties of coals. Stresses that act in a coal seam are also taken into account here. The results allow substantiating safety-on-gas-factor technological parameters of coal mining processes beforehand.
Substantiation of outburst danger automated monitoring on amplitude frequency characteristic median of the operating equipment noise and methane concentration in the mine working medium
Authors: Shadrin A V , Kontrimas A A 
Published: August 2021

Abstract
Basic requirements to the methods of current outburst danger prediction are formulated. The methods must be applied in the process of mining not interfering with the works and taking into account basic factors that cause the outbursts and they should have scientifically grounded methodology for fast definition of outburst danger criteria under certain mining, geological and engineering conditions. It is shown that geophysical prediction methods can meet the first requirement. Rock pressure, in-situ gas pressure and coal strength are taken as basic factors of outburst danger. Some well-known geophysical method such as a method of acoustic emission, a spectral-acoustic method, a gas analytical method and a temperature method taken separately do not satisfy the second and the third requirements. That is why it is suggested controlling rock pressure by spectral-acoustic method, gas pressure by means of gas analyser on methane concentration at the face of the working while mining coal and coal strength should be measured by a strength measuring device. To improve the accuracy of the prediction a version of spectral-acoustic method based on dependency of amplitude-frequency characteristic median of mining operating equipment noise on average stresses at the section between the source of the noise and geophone. The criterion of outburst danger is substantiated and the algorithm for arranging automated monitoring of coal seam outburst danger is offered.
Analyzing the vibration parameters of gas-cleaning units operated in coal and mining industry of Kuzbass
Authors: Gerike P B , Gerike B L , Klishin V I 
Published: August 2021

Abstract
Some research results on analyzing parameters of vibration generated during operation of different types of gas-cleaning and aspiration systems dynamic equipment exploited at Kuzbass coal and mining enterprises are generalized in the paper. An attempt to give grounding for developing diagnostic criteria for assessing technical condition of these equipment was done. The purpose of the research is in improving the existing techniques for standardizing vibration parameters and creating an algorithm for developing unified diagnostic criteria based on diagnostic features and rules classification applied for detecting the industrial fun dynamic equipment defects. In the framework of the research a comprehensive approach to analyzing vibration was applied and the obtained results proved the effectiveness of the introduced set of diagnostic techniques for analyzing vibration parameters of industrial fans and for the development of unified criteria of evaluation and forecasting. The obtained scientific results confirm the general effectiveness of the introduced approach to analyzing vibration parameters using the developed unified criteria for diagnosing physical state of the industrial fans.