bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heat Supply for the Power-Biological Complex from TPP and NPP
Authors: Burdenkova E 
Published: November 2021

Abstract
This work is devoted to the problem of utilization of waste heat from condensers of thermal power plants and nuclear power plants. The waste heat of the condensers of TPPs and NPPs, together with the circulating water, enters the environment, causing its thermal pollution. The use of this heat in an energy-biological complex, for example, in fisheries, increases their efficiency and solves an environmental problem. Compared to ordinary ponds, this energy complex has an almost year-round increase in biomass and accelerated maturation of producers. The article presents a developed methodology that makes it possible to assess the effectiveness of such a fishery. Calculations using this method were carried out for a fish farm raising sturgeons on the basis of the waste heat of a nuclear power plant with a VVER-1200 reactor and a K-1200-6.8/50 turbine
Introduction of Fog Computations to Measuring System Collection and Accounting of Data of Distributed Internet of Things
Authors: Munister V D , Zolkin A L , Aygumov T G , Ozhiganov V E 
Published: November 2021

Abstract
The article deals with the problems of speed and timeliness of the development of control actions from digital management systems. Generalization of researches is given. The role of mathematical applications of game theory for the role in the implementation of fog and boundary computations in the paradigm of the development of digital signal processing systems as well as their optimization value are substantiated.A particular generalization is developed and is given from the processing of an encoded signal sequence that demonstrates the operation of a humidity sensor from the viewpoint of bringing it to the basis of an antagonistic game in order to determine the optimal strategy of the device’s behaviour at a given time interval.The practical significance of the study is confirmed by a new approach to the implementation of economic methods for analysis of probabilistic outcomes within the framework of game theory in an algorithm for analysis of a digital signal for a linear comparator of recorded physical quantities in the form of digital levels. The value of such analysis metrics in network-centric distributed systems of the Internet of things in multiplexing environments is given.
Simulation of Continuous Markov Processes in Discrete-Time for Signals Described by Stochastic Differential Equations
Authors: Artyushenko V M , Volovach V I , Budilov V N 
Published: November 2021

Abstract
We considered the issues associated with methods for solving the problems of representation of continuous Markov processes in discrete-time by the example of radar signals, which are subject to the simultaneous effect of additive and multiplicative noise described by stochastic differential equations. We considered the algorithm, which allows us to carry out computer simulation of fading amplitude, phase and information parameter of the signal in discrete observation time using the example of a continuous frequency-modulated signal, the amplitude of which adheres to the Nakagami distribution that is typical for radar signals under simultaneous effect of additive and multiplicative noise. It is shown that with the help of computer simulation it is possible to create not only optimal algorithms, but also their corresponding optimal structural diagrams, which makes it possible to elevate the processing of radar signals to higher standards.
Support Structures for Seal Switches Located Near Bus Lines
Authors: Kletsel M , Mashrapov B , Barukin A 
Published: November 2021

Abstract
The authors propose three designs for seal switch support structures located near power plant bus lines. The first one has a plate that is attached to bus lines located in the same plane. The second uses a support insulator as the case and can be attached to several bus lines at the same time or each of them individually to provide a wide application range. The third design stipulates seal switch installation on overhead line pylons. The authors provide detailed descriptions of the designs and explain how the trip settings are adjusted on them.
Centralized Protections of Busbars and Electric Motors Connected to Them
Authors: Mashrapov B 
Published: November 2021

Abstract
Centralized protections have several advantages over autonomous protections; however, incorrect actions of the former can result in more serious consequences. The reliability of their operation can be ensured with the help of majorization principle, but the number of devices with different principles of operation is insufficient so far. Three centralized protections are suggested; one of them allows duplication of current transformers. They all are based on the fact that the electric motors of feeders feed a short-circuit point; as a result, the current in a feeder damaged becomes higher than the current at the power input, and the currents in undamaged feeders change the direction to opposite. The conditions for protection actuation are presented. Operation of the protections in different modes is described in detail.
Modeling of Industrial and Technological Processes in Complex Systems Based on Neuro-Fuzzy Petri Nets
Authors: Bobryakov A V , Prokopenko S A , Misnik A E , Krutalevich S K 
Published: November 2021

Abstract
For effective functioning within a complex system, industrial and technological processes are supported by appropriate information-analytical processes that ensure the collection and analysis of information, as well as modeling and making control decisions for the industrial and technological process. A variety of neuro-fuzzy Petri nets with temporal fuzzy neurons is proposed. An example of con-structing a model of an industrial and technological process and the corresponding information-analytical processes is considered. The developed specialized software for modeling industrial and technological processes and the implementation of information-analytical processes is considered.
Prospects for the Application of Reinforcement Learning to Network Traffic Classification Tasks
Authors: Asyaev G D 
Published: November 2021

Abstract
The basic principles and methods of reinforcement learning are reviewed. The problems and approaches for applying a model based on reinforcement learning in the framework of attack prevention are described. The model is built and the hyperparameters of machine learning for the task of classifying network traffic are selected, and its performance on the test data set is evaluated by such quality metrics as accuracy and completeness. The dataset used to implement an agent for selecting the optimal defense strategy for a particular attack has been finalized. Developed an algorithm for using a reinforcement learning neural network for the traffic classification task. A table of rules and rewards for the problem is generated. An agent has been developed and trained to interact with the system. We describe the application of reinforcement learning to the traffic classification task.
Organism State Identification and Forecast Based on Comprehensive Sensor Measurement Processing with the Adaptive Algorithms
Authors: Akishin A D , Nikolaev A P , Pisareva A V 
Published: November 2021

Abstract
Many medical devices are using photoplethysmography (PPG) signals to estimate cardiac rate (CR), respiratory rate (RR), blood pressure (BP) and blood oxygen (SpO2). Photoplethysmography demonstrated its great potential in non-invasive monitoring of the human organism state [17], but application of this method with wearable devices is extremely difficult due to its vulnerability to motion artifacts. This paper presents implementation of a photoplethysmography device on the Raspberry Pi 3 B+ single-board computer.
The work uses adaptive algorithms to study the cardiovascular system state in severe device operating conditions degrading the evaluation accuracy of CR rate and other parameters of the heart rate. Selection of the device component base and component parts was made based on their availability and multi-functionality. The manufactured mockup made it possible to carry out research to determine the most effective algorithms for digital processing of signals received from sensors.
Methods of digital signal processing based on adaptive algorithms are proposed: Wiener algorithms, algorithms based on the method of least squares (MLS) and algorithms based on the Kalman filtering. In the course of measurements taken on simulation objects and volunteers invited to participate in the study, analysis of the results of various measurement processing algorithms operation was carried out. A method is proposed for assessing the accuracy of calculating the CR and analyzing effectiveness of the external noise filtering with adaptive filters. Processing the sensor measurements made it possible to monitor the heart rate with the given accuracy, as well as to predict the human body state.
Determining the Electrical Losses in the Electrical Supply Line of a Sprinkler Using Autonomous Asynchronous Generator
Authors: Oskin S V , Barakin N S , Kumeyko A A 
Published: November 2021

Abstract
The use of an asynchronous generator to power the electrical equipment of the sprinkler is a comprehensive solution that allows you to reduce electrical losses in the supply line. The problem of reactive power compensation for sprinkler machines can be solved by dividing capacitor units into main and additional, the main one is to create the required excitation current in the asynchronous generator, and the additional one is to compensate for the reactive component of the electric motor current. Moreover, an additional unit is installed directly at the outputs of the booster pump to unload the line, and the main capacitor unit is installed near the asynchronous generator.
Enhancing sundanese students’ creative thinking skills using ICARE model on physics concepts: A rasch analysis approach
Authors: Sa’diyah L H , Siahaan P , Suhendi E , Samsudin A , Novia H , Komalasari K , Umar F A , Dalila A A , Fatima W O , Hendriyani D , Purwanto M G 
Published: November 2021

Abstract
Creative thinking skills are vital in physics knowledge as in physics knowledge equal through investigation arrangements on attentions accomplishment subsequently sensing, articulating difficulties, gathering information, dispensation and seeing information, and concluding. This study drives to enhance Sundanese students’ creative thinking skills on physics by the ICARE model through Rasch Analysis. The investigate technique used a pre-experimental technique with one group pretest-posttest design for ten grade pupils (10 boys and 12 girls) and exploitation Rasch analysis to portion the person consistency with bubble chart and variable wright map. The instrument was based on indicators by Torrance. Informations were composed through pretest and posttest to amount creative thinking skills and person consistency on students. The outcomes displayed that ICARE model influenced creative thinking skills through the middling score of 0.61 characterized as intermediate. It can be decided that ICARE model is one of the erudition models that can stimulus and enhance students’ creative thinking skills on physics ideas.
Identification of physics problem-solving skills on senior high school students: An evaluation of e-learning during Covid-19 pandemic in Tuban
Authors: Mufida S N , Sinaga P , Samsudin A 
Published: November 2021

Abstract
On the topic of work and energy, students learned the concepts of work and energy, the relationship between work and energy changes, the law of conservation energy, power, and its application in daily-life. This research aimed to identify and evaluate the achievement of physics problem-solving skills of senior high school students on work and energy topics in distance learning during the Covid-19 pandemic. The quantitative method used was preexperiment with a one-shot case study design. The subjects were determined using the cluster sampling technique. The sample was 246 students of tenth-grade from three schools, namely in the city, middle, and suburb location in Tuban East Java Indonesia. The research results were analyzed by using descriptive quantitative. This research instrument used essay questions and teacher questionnaires. The Kruskal Wallis test showed that the mean of three schools differed significantly by 0.002<0.05. The overall students’ physics problem-solving skills on the topic of work and energy are classified as moderate. The fact of these findings suggests that students still have difficulty in useful description, physics approach, specific application of physics, mathematical procedures, and logical progression and consistent reasons. It is necessary to develop teaching materials that can train physics problem-solving skills.
The application of smartphone sensors to promote cognitive abilities easier and more effective physics learning
Authors: Nuryantini A Y , Adawiyah M R , Ariayuda M A 
Published: November 2021

Abstract
The use of sensor on smartphones as physics learning media encourages teachers to reconstruct teaching methods. This paper presents the effect on students’ cognitive abilities using an accelerometer and a gyroscope sensor simultaneously in learning circular motion, as well as students’ responses and the effectiveness of sensor media on smartphones used. A pre-experimental research design was used in this study which involved 12 students of XII MIPA at SMA Negeri 1 Pagaden Subang Jawa Barat. They learned circular motion guided by the smartphone sensors-based worksheets and were tested using an essay test for cognitive abilities measurements. Meanwhile, students’ responses and the effectiveness were obtained using a Likert scale questionnaire. The improvement of students’ cognitive abilities was significantly higher than the pretest which was obtained from the N-gain with a final value of 0.41. Worksheets using smartphone sensor media were more effective than conventional learning. In addition, students showed a positive response in which 93.75% of students were interested, 85,42% were motivated to learn the circular motion, and 91.14% of students became easier in understanding physics concepts.
The responses to artificial intelligence in teacher integrated science learning training program
Authors: Gunawan K D H , Liliasari  , Kaniawati I , Setiawan W 
Published: November 2021

Abstract
Artificial intelligence (AI) in education is the current development that provides solutions to problems in various contexts and levels. The use of AI in science teacher training programs is something that rarely done, especially in integrated science learning. The purpose of this study was to mapping the competencies of science teachers after receive pedagogical suggestions based on AI. This activity was attended by 20 science teachers in West Java who are members of the teacher training program. The competency patterns of science teachers were analyzed descriptively qualitatively in order to see the combination of knowledge between AI and natural knowledge of science teachers. The results show some teachers made innovative integrated science learning and teachers were able to follow, modify, or ignore pedagogical suggestions. These results also provide a field evaluation of the development of an integrated science learning program assisted by AI.
Analysis of the need to development an assessment integrated with STEM literacy
Authors: Arifin Z , Sukarmin S , Sarwanto S , Sani D M 
Published: November 2021

Abstract
Facing the challenges in the 21st century and entering the 5.0 society era, education plays a major role in preparing quality students, students are required to have the competence to think creatively in dealing with various problems. STEM (Science, Technology, Engineering, and Mathematics) literacy is a new approach developed to support learning in the 21st century. This article aims to explore the perceptions of physics teachers in the development of an integrated assessment instrument with STEM Literacy. The type of research used is descriptive qualitative with purposive sampling technique. The main respondents of this study were five high school physics teachers. The data was collected through semi-structured interviews and analyzed through the thematic analysis approach. The main finding of this study is that teachers have different understandings of the STEM concept in learning. Teachers do not have experience in developing between assessment and STEM Literacy. Teachers are interested in developing assessments that are integrated with STEM Literacy.
The effect of discharge and water level on the electric voltage generated by the watermill
Authors: Rusydi H A , Hasanah I N A , Yudi M P , Sarah  , Sumarna O , Riza L S 
Published: November 2021

AbstractPotential energy is stored in water (in falling water) and kinetic energy (in flowing water) so that many studies have used water as alternative energy. This research was conducted to investigate the electric voltage generated by the waterwheel with different water flows and water levels. How to make a waterwheel are: (1) Prepare tools such as a plastic wheel, dynamo type (5V), cables, and lamps. (2) Connect the end of the plastic wheel to the end of the rotating dynamo. (3) Connect the cables to both ends of the dynamo. (4) Connect the two free ends of the cable to the lamp. (5) Test the waterwheel on running water and connect the cable to the multi-tester if you want to measure the voltage and current. The method used in this research is a demonstration experiment. The results of the study indicate that the electric voltage caused by the rotation of the wheel by running water can turn on the light. The greater the flow of water that flows, the greater the voltage generated and the lights get brighter. Furthermore, the experiments in this study can be used for the science learning process to students.
Partially linear model estimation for missing response data
Authors: Salam N 
Published: November 2021

Abstract
This paper will discuss the estimation of a partially linear (semiparametric) model with missing responses using the normal approach. An estimator class is defined which includes special cases, namely the partially linear imputation estimator, the marginal mean estimator and the trend score weighted estimator. The estimator class is asymptotically normal. The three special estimators have the same asymptotic variance. Based on the above conditions, the mean F will be estimated, say θ. The three special estimators above will be used to estimate the mean F, namely in the form of point estimates and confidence intervals with some missing responses using the normal approach method.
Application of the clarke-wright algorithm in determining tsunami disaster evacuation route in Purworejo district
Authors: Ijanatun A , Rosyida I 
Published: November 2021

AbstractThe potentials for tsunami in Indonesia are spread over many areas, one of which is Purworejo. Purworejo has a high tsunami potential because it is located on the Indo-Australian plate. In Central Java, Purworejo occupies the 3rd position in the tsunami-prone area. Therefore, a route is needed to evacuate the population to mitigate the tsunami. This research focuses on two sub-districts, namely Ngombol and Purwodadi. The problems in this paper are: (1) Which points can be used as evacuation sites (2) How to model tsunami evacuation routes with graphs (3) What are the optimal evacuation routes. The method used to find the evacuation route is the VRP with time window. The algorithm used is Clarke Wright algorithm. The optimal evacuation route is obtained if all points are evacuated with minimal time and distance. From nine final evacuation points, only 4 points that fulfill criteria for the shortest distance and can be accessed by vehicles. There are eight final routes with minimum time of 42 minutes. Each of depots B3 and C2 has 3 routes. Whereas each of depots C4 and C5 has 1 route.
Design of a perfect and multi-resonant metamaterial absorber for electromagnetic energy harvesting applications
Authors: Umaña-Idarraga F , Cataño-Ochoa D , Montoya-Villada S , Valencia-Balvin C , Reyes-Vera E 
Published: November 2021

Abstract
In this work, a perfect absorber based on a split ring resonator structure is proposed and numerically analyzed. The software CST STUDIO was employed to carry out the numerical analysis and the optimization of the proposed structure. The electromagnetic properties of the proposed metamaterial cell were analyzed in the first phase of this study demonstrating that such structure resonates at 2.4 GHz and 4.2 GHz simultaneously. In fact, this structure has negative permittivity and permeability in these two bands. The optimization process has led us to obtain a compact resonator, which has a total size of 15 mm × 15 mm. Subsequently, the capacity of this structure as an absorber of electromagnetic energy is analyzed. The obtained results reveal that this structure has absorption efficiencies of 98.2% and 99.7% for the first and second bands respectively. Also, other characteristic parameters were evaluated. This shows that the proposed structure has a high electrical performance and can be used for the collection of electromagnetic energy, which can be used to power wireless sensor networks.
Analysis of heat fluxes in ceramic block type building pieces
Authors: Narváez-Ortega M S , Sánchez-Molina J , Sánchez-Zúñiga J V 
Published: November 2021

Abstract
In Norte de Santander, Colombia, there is a ceramic cluster made up of 59 companies dedicated to the production of construction materials derived from clay, a vernacular material with a wide extraction potential in the region. Fired clay products in different hollow block presentations represent 15% of industrial production, these construction pieces are low cost and show a high demand in the local masonry market, therefore, their thermo-physical characteristics largely build the thermal envelope of “Cucuteña”. This research comparatively evaluates the thermal behavior of four types of ceramic blocks with different perforations, applying the finite element method in thermal simulations that consider a conductivity of 0.407 W/m°C in the ceramic to establish the influence of the shape on the temperature distribution and heat flow profiles of each piece subjected to environmental conditions of a warm semi-arid climate, with average maximum temperatures of 33 °C and an average maximum solar radiation of 796.8 Wh/m2 under extreme climatic conditions in the city of San Jose de Cúcuta, Colombia. The results of the study allow identifying the ceramic block of 6 rectangular holes as the product that, due to its physical characteristics, presents a better alternative to be applied in constructions that seek thermal efficiency.
Fatigue in asphalt mixtures – a summary to understand the complexity of its mathematical modeling
Authors: Rondón-Quintana H A , Reyes-Lizcano F A , Zafra-Mejía C A 
Published: November 2021

Abstract
Based on the reviewed literature in relation to the phenomenon of fatigue in asphalt mixtures, the foregoing paper depicts and describes in summary, the main variables that impact in the generation of said phenomenon in asphalt pavements. This has the purpose of showing its complexity to mathematically model it. As a general conclusion obtained in the study, it was found that the calibration difficulty of the models is mainly since the mathematical equations must be in capacity of considering that fatigue resistance of asphalt mixtures depends on load mode (stress-controlled or strain- controlled), the type of load (haversine or sinusoidal) and the rest periods to which laboratory samples are subjected. Additionally, both in situ, as within the laboratory, this varies with stiffness, volumetric composition (type and content of asphalt and aggregate), the geometry of samples, with effects associated to mix durability and environmental conditions, with the type of test, border conditions and support layers (base, subbase, subgrade). If these physical parameters are not considered, the mathematical equations lose reliability.