bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of the technology of 0NBC code formation on a metal surface by laser marking
Authors: Zakharenko E A , Pryakhin E I , Romanov V V , Shchedrina N N 
Published: February 2021

Abstract
In this work, the formation of a two-dimensional code, NBC, using laser marking is considered. A complete factorial analysis was carried out to determine the optimal laser irradiation parameters for obtaining the most contrasting image of code cells on a metal surface (steel AISI 321) using laser marking. The regression equation is obtained, the coefficients of the equation are checked for signification, and the equation is checked for adequacy, an interpretation of the equation coefficients is given, the optimal laser marking parameters are obtained.
Simulation model of the organization of technologicaltransport movement at a mining enterprise
Authors: Afanasyev A S , Egoshin A M , Alekseev S V 
Published: February 2021

Abstract
The article presents a simulation model for organizing the movement of technological transport on the road network of a mining enterprise, the study of which will justify the use of technical means of traffic control and avoid emergencies. The simulation model of traffic management on the road network of the mining enterprise is designed to study the effectiveness of the road network and the traffic control system on it, including using automation tools, calculating the control parameters of traffic regulation and verifying the correct choice of their number and location on the ground. The simulation model has a block-modular structure. As the control program, the algorithm of the technical means for organizing traffic at the facility and section of the road is used. The developed simulation model makes it possible to take into account such parameters of the traffic flow as the type, speed of the vehicle, and time intervals between vehicles. During the simulation, situations of standard movement of vehicles along a road section, the occurrence of a traffic accident and accumulation of vehicles on a road section, as well as the maintenance, repair and reconstruction of roads and the functioning of traffic control equipment at the enterprise are set up.
Analysis of schedules and load indicators for the choice of the generation composition in the wind-diesel complex
Authors: Shklyarskiy J E , Batueva D E 
Published: February 2021

Abstract
The energy consumption of villages in the Arctic is characterized mainly by household consumers. The load schedule of such consumers has a characteristic shape and is determined by the heating season in the winter and a sharp change in external climatic conditions in the spring and autumn. The load graphs of a village in the Arctic are analyzed in an article, maximum average consumption is 369 kW in January-February. We study such indicators of load graphs as average load, rms load, variance of the load graph and standard deviation of the load from the average. As a result, it was found that the standard deviation of the load has large values precisely in the winter months and the spring-autumn period, when energy consumption changes significantly, and, therefore, this indicator must be taken into account when choosing the composition of the generation in the wind-diesel complex.
Knowledge Distillation with Contrastive Inter-Class Relationship
Authors: Yang Chaoyi , Zeng Jijun , Zhang Jinbo 
Published: February 2021

AbstractDue to the high computational cost, the application of deep neural networks (DNNs) to the real-time tasks has been limited. A possible solution is to compress the size of the model so that the demand for computation resources can be decreased. A popular method is called knowledge distillation (KD). The basic philosophy behind KD is to transfer the information extracted from the larger teacher network to the smaller student network. The general knowledge transfer strategy is to match the one-to-one logit or intermedia layers between the teacher and student networks, correspondingly. This objective may neglect the informative relationship information between different samples. In this paper, we borrow the idea of metric learning to transfer the contrastive relationship information learned from teacher network to the student. Specifically, we use the well-known Triplet loss to regularize the training of the student network. By the modified negative selection strategy, our Contrastive Knowledge Distillation (CKD) method can efficiently improve the performance of the student network compared with the traditional KD methods. Empirical experiments on KD benchmarks and real-world datasets also demonstrate the superiority of CKD.
Sentiment Analysis for Zoning System Admission Policy Using Support Vector Machine and Naive Bayes Methods
Authors: Ariyanto Reynaldy Aries , Chamidah N 
Published: February 2021

Abstract
Indonesia have low quality of education. According Trend International Mathematics and Science Study, Indonesian student’s mathematical literacy is ranked 36 from 49 countries. For Science literacy, Indonesia is ranked 35 from 49 countries. To increase quality of education in Indonesia, Indonesia’s government make a new policy for new student admission called zoning system. Zoning system is a new student admission according distance from house to school. Zoning system is new policy in Indonesia and there are still many pros and cons of the zoning system. Sentiment analysis is used to know whether Indonesia’s people agree or disagree about zoning system policy. In this study, we use supervised statistical learning methods that are Support Vector Machine (SVM) and Naïve Bayes for sentiment analysis of zoning system admission policy. The results show that Indonesia’s people tend to disagree with the zoning system admission policy because negative opinion is greater than positive opinion. Furthermore, accuracy rates of SVM and Naïve Bayes are 92.93% and 79.86% respectively. So, SVM is better than Naïve Bayes for sentiment analysis of zoning system admission policy.
The Evaluate off Usability Web Design Based on the User Experience
Authors: Handayani Popon , Imron Imron , Prihatin Titin , Nurmalasari Nurmalasari , Kristiana Titin , Irma Handayani Rani , Mahyu Akhrianto Pas 
Published: February 2021

Abstract
The number of websites in this digital age has not been examined from how useful it is from the user’s side. As happened on the www.nusamandiri.ac.id website, for this reason the authors conducted an evaluation with the User Experience approach, namely direct observation of the user of the web design by analyzing data through questionnaires on a system usability scale. the results of this study indicate that desaign web is very easy to understand and easy to use, so users get information precisely and quickly.
Forensic Audit Using Process Mining to Detect Fraud
Authors: Broer Bahaweres Rizal , Trawally Jainaba , Hermadi Irman , Imam Suroso Arif 
Published: February 2021

Abstract
Companies have been involved in scandals relating to financial fraud which present a large financial loss to their stakeholders. As high technology devices and online systems makes accounting transactions more complicated and easier to manipulate, process mining techniques to detecting fraud are under intense scrutiny by forensic auditors. The author analyses data of a Dutch Financial institute proposed by the Business Process Intelligence Challenge (BPIC) 2017, the BPIC provides a real life event logs. The process consists of 193849 events and 42995 cases. Various tools such as ProM (Process Mining) are been used for data analysis. The author choose process mining over other techniques because the data is recorded independently from the auditee, it an automated solution, less prone to human error, and less time consuming.
Understanding Level of UIN Imam Bonjol Padang’s Lecturers towards the Privacy Policy Application Used in Academic Activities during the COVID-19 Pandemic Period
Authors: Taufik Hidayat Ahmad , Sudarman Sudarman , Alfurqan Alfurqan , Taufiqurrahman  , Doni Sefri 
Published: February 2021

Abstract
This article was intended to measure UIN Imam Bonjol’s lecturers’ understanding of the privacy policy applications used for academic activities during the Covid-19 Pandemic. The need to conduct online lectures opens the opportunity for all lecturers to choose the supporting application in the lecture process freely. The existence of a privacy policy in every use of the chosen application requires understanding for prospective users of services so as not to have an adverse effect. This study used a survey research method using a data collection instrument in the form of a questionnaire which was analyzed quantitatively using descriptive statistics. The findings of this study are, the lecturer’s awareness of privacy policy is quite high, as seen from the results of this study. Even 100% of respondents are aware of the need to protect personal data in using applications in academic activities during the Covid-19 Pandemic. However, there is a potential problem of personal data leakage from some respondents, more or less of 36.3%, who are not too concerned with the privacy policy rules, and instead do not read the policy at all. In this group of respondents, it is necessary to have guidance and socialization initiated by UIN Imam Bonjol Padang.
The Analysis of Implementation of Higher Order Thinking Skills (HOTS) With Problem Based Learning (PBL)
Authors: Eka Putra Rizki , Iswantir  
Published: February 2021

Abstract
PBL is a learning model that focuses on students or student centers Learning development oriented to HOTS is a program developed as an effort of the ministry of education and culture through the directorate general teachers and education staff (DG GTK) in an effort to improve the quality of learning and improve quality, especially in the subjects of moral creed. The design of this study uses the type of research that is included in the field research category. Seen qualitatively from data input, process, output. This research was conducted at MTsN 1 Lima Puluh Kota. from March to June 2020. Data collection methods were obtained by in-depth interviews with 5 informants, and focus group discussions with 30 students. While data validation is done by source triangulation and method triangulation. The results showed that the implementation of HOTS with the PBL learning model especially in the subject of aqeedah morals was still not in accordance with the expectations or provisions provided by the central government. In terms of Inputs (Funds, Human Resources, Facilities) available in MTsN 1 Lima Puluh Kota in general already exist and are available but do not meet the needs in the field, in terms of the implementation process is only based on education unit level curriculum and program implementation manuals, the program budget is still minimal. The implementation of these activities is still constrained by means of funds and time so that the expected optimization of activities according to the instructions given by the government has not reached its objectives. Whereas in the output of learning tools are available and the value of students is mostly above the minimal completeness criteria madrasah. Based on the results of the study, it is suggested that MTsN 1 Lima Puluh Kota be able to facilitate madrasah facilities and infrastructure, conduct socialization about learning models to students. As well as continuous improvement of monitoring and evaluation, so that learning targets can be achieved according to needs.
Analysis of Student Activities in E-learning Based on Multiple Intelligences
Authors: Hilyana F S , Khotimah T 
Published: February 2021

Abstract
The concept of e-learning provides more intensive interaction between lecturers and students, students and students, both in the classroom and outside. E-learning can increase student interest in optimizing the potential of multiple intelligences. Incorporating Multiple Intelligences into e-learning strategies provides a level of flexibility in how students can carry out their learning and provide a collaborative and interactive environment. This study aims to analyze student activity in e-learning based on multiple intelligences. The method used is descriptive qualitative by analyzing student activities in e-learning based on the classification of 8 Multiple Intelligences. The results of this study stated the percentage of students based on multiple intelligences obtained the highest percentage value of 38% Naturalist intelligence, 24% Musical intelligence, 17% Visual Spatial intelligence, Logic mathematical intelligence and Interpersonal intelligence 7%, Kinesthetic intelligence 4%, Intrapersonal intelligence 3%, and Linguistic intelligence 0%. Analysis of e-learning activities obtained the highest frequency by visua-spatial intelligence with a percentage of 82%, dominant naturalist intelligence possessed by students in the class has a percentage of 74%, then intrapersonal intelligence as much as 63%, kinestetic intelligence 53%, interpersonal intelligence 47%, musical intelligence 31%, and logic-mathematic intelligence 29%. Because in this class the dominant type of naturalist intelligence, e-learning is declared suitable to be applied because this intelligence is included in the active category of activities in e-learning.
The Influence of the Implementation of Android-Assisted Experiential Learning Model-Based Science Learning on Students’ Scientific Literacy
Authors: Qamariah Q , Nurwahidah N , Gunawan G , Jumadi J , Septiani D 
Published: February 2021

Abstract
This study aims to determine the effect of implementing an android application which was based on Experiential Learning Model (ELM) on students’ scientific literacy in terms of knowledge, competencies, and attitude. This research was a quasi-experiment with pre-post research of non-equivalent control group design. The population of the study were students of grade VII Junior High Schools in Kotawaringin Timur Regency. The sample was selected by stratified random sampling technique based on school stratification, which included high, medium, and low category schools. Research data of scientific literacy knowledge and competencies were measured using test instrument, while scientific research literacy attitude data was measured using non-test instrument (self-assessment questionnaire). The data analysis technique used was one-way manova with significance level of .05. The result of the data analysis showed that science learning which was based on Experiential Learning Model (ELM) with android support has significant influence on the scientific literacy, covering some aspects: knowledge, competencies, and attitude of students of grade VII Junior High Schools in Kotawaringin Timur Regency.
The Influence of Information Technology and Communication Advancement Especially Smartphone on Muhammadiyah University of West Sumatera’s Students Year 2019
Authors: Hariyadi  , Handoko Koko , Noviliza Anesia 
Published: February 2021

Abstract
This study aims to obtain the depictions on how Information and Communication Technology (ICT), especially smartphones, influences the students of Hospital Administration Study Program, Muhammadiyah University of West Sumatra Class of 2019. This research is a descriptive study, with a nonprobability sampling method. The sampling technique used is a census. The results showed that the respondents are Digital Native generations. Digital Native is a term for a person from infancy to adulthood that cannot be separated from digital technology. The results of this study found that majority of the students only utilize smartphone technology for social media and playing games. Students as respondents have not been able to optimize the use of digital technology to support their study or in the learning process. From the results of this study, the researchers provide suggestions so that respondents can get to know and optimize ICT in the learning process as well. The integration of the learning process in the University with ICTs, especially smartphones, should be done in order to achieve the knowledge-based society habitsby maximizing the sophistication of digital technology.
Bioprocessing of wheat to produce food and technical products
Authors: Zueva N V , Agafonov G V , Romanyuk T I , Chusova A E , Yakovlev A N , Veretennikov S A 
Published: February 2021

Abstract
The article presents the parameters and conditions for the formation of gluten in the laboratory. The influence of some technological parameters in the preparation of water-powdery suspension on the yield of gluten was studied. It was found that for the formation of a strong gluten skeleton, the temperature must be 50 ° C, the duration of the batch - 30 minutes, and the hydromodule - 1.5:1. It is under these conditions that the binding of the gluten and gliadin protein fractions in the gluten frame. It is proved that due to cellulolytic enzyme preparations, sequential hydrolysis of non-starch polysaccharides to glucose is carried out, as well as dispersion of starch and other high-molecular substances in the grain composition. This increases the quantity of fermentable substances and increases the quantity of alcohol produced. Processing of wort obtained after extraction of gluten from water-flour suspension results in higher ethanol concentration, glucose fermentation rate, and ethanol production rate. In addition, gluten can be used as a value-added by-product in a wheat-based bioprocessing plant, which significantly increases the cost-effectiveness of the process.
Acidity and chemical composition of high humidity sealed grains
Authors: Avdeev Y M , Tesalovskii A A , Mokretsov Y V , Anisimov N V , Protopopova E V 
Published: February 2021

Abstract
The article presents data on acidity indicators and chemical composition of high humidity grain in hermetic storage conditions. It is established that by increasing humidity of barley grain fodder its acidity increases with increasing pH value from 5.25 to 4.13, which is explained by increasing content of lactic and acetic acids. During storage the grain did not deteriorate, because the pH value decreases to a certain level (from 5.25 to 4.13). No butyric acid was found in the examined samples and its appearance was not observed during the whole storage period. The content of other acids (lactic acid, acetic acid), as well as their percentage ratio were in optimal quantities, which corresponds to the normative requirements for feeding farm animals. Most of the acids were lactic acid, whose share was 86-93% depending on grain moisture. As the humidity of wheat grain increases, its acidity also increases with the introduction of various additives in the amount of 3% of the mass of raw materials. The number of mineral macro- and microelements in grain slightly increases in comparison with the control variant, which is caused by their higher content in additives. The main part of mineral elements was occupied by potassium, the quantity of which was from 6,53 (variant: mixture of needles and moss, 2%) to 7,93 mg (variant: nettle, 3%). In variants with the use of the studied plant additives, there is a tendency to increase the content of raw protein from 10.72% in the control without additives to 12.72% in variants with meadow grass and 12.84% in variant with pine needles.
Electronic taster applied for identification of a rainbow trout spoilage specifics
Authors: Kuchmenko T A , Umarkhanov R U , Mateyeva A , Uazhanova R , KornekhoTueros J V 
Published: February 2021

Abstract
The research is aimed at the study of control possibilities of freshness degree and storage technology violation of frozen fish (Rainbow trout) using chemical piezo sensors array in the «e-nose» system. There have been demonstrated the opportunities of qualitative and quantitative determination of priority highly volatile compounds-markers of native and modified state of fish and gills after a 2-minute measuring by sensors array with minimal sample preparation and without additional preparation or odour components concentration. We can fixate early signs of changes in the fish fillet of a trout after three days of storage mode non-compliance and subsequent freezing, using chemical sensors. We can evaluate the storage time of fresh fish in any conditions with an error of measurement of no more than 10 %. We have developed the method of fish odour simple analysis and of obtaining diagnostic information about fish freshness according to fillet and gills state. The application mode of chemical sensors and e-nose «MAG-8» allows acquiring objective information, and is highly sensitive, expressive and economically acceptable for laboratories and mobile monitoring stations of any level.
Industrial internet of things in production of cooked smoked sausages
Authors: Popov A M , Popov D M , Mukhim-Zade M , Wegner N A 
Published: February 2021

Abstract
The producers of meat products and semi-finished products often use the equipment of the 90s. Such equipment does not possess modern means of transmitting diagnostic data and information about the current state wirelessly, and requires periodic monitoring during a shift. Lack of timely diagnostic data can lead to work of equipment failures and unforeseen downtime. At the same time, the development of technical means of communication allows connecting industrial equipment to the Internet and receiving data on the current status of the equipment remotely online. In industrial production, this technology is called the industrial Internet of things. The article discusses the use of the ESP32 microcontroller, the Message Queuing Telemetry Transport network protocol and the corresponding server and client software for connecting the MULTIVAC R5200 packaging machine to the industrial Internet of things. It is shown that the use of the industrial Internet of things when packing cooked-smoked sausages can reduce the time of maintenance of the packaging machine and the consumption of spare parts, and reduce the amount of marriage. In the future, the spread of such technology to the equipment of the entire enterprise allows solving the problems of collecting a large amount of data on the current state of equipment, conducting analysis and making managerial decisions.
On the adequacy of the adaptive control model and the use of L-distribution of the rotary-conveyor milking process on “Karusel” type installations
Authors: Tareeva O A , Zorin V A , Strebulyaev S N , Shkilev N P 
Published: February 2021

Abstract
The article reflects the degree of adequacy of the use of G-distribution and the constructed mathematical model of adaptive control, which allows increasing the productivity of conveyor-ring milking machines of the “Karusel” type. This paper discusses the results of research on the process of milking a herd of cows on a carousel-type milking machine. Based on the methods of variational statistics the influence of the parameters of the statistical distribution of the duration of milking performance of a milking machine is studied, a theoretical analysis of the timeline of its work is carried out. Models and algorithms for adaptive speed control of milking pipeline with the use of specialized software, including the system of analytical calculations Maple are developed. This software allows you to perform analytical transformations of large amounts of information and display the results of calculations in tabular graphical form and in animation mode.