bluuebunny/crossref_metadata_2025_split huggingface dataset:
An algorithm for labels aggregation in taxonomy-based crowd-labeling
Authors: Ponomarev A , Levashova T , Mustafin N 
Published: February 2021

Abstract
Crowdsourcing provides a convenient solution for many information processing problems that are still hard or even intractable by modern AI techniques, but are relatively simple for many people. However, complete crowdsourcing solution cannot go by without a quality control mechanisms, as the results received from participants are not always reliable. The paper considers taxonomy-based crowd-labeling - a form of crowdsourcing, in which participants label objects with tags, and there exists an explicit taxonomy relation on the set of tags. We propose a method and an algorithm for label aggregation, allowing to estimate the likelihood of the true object label from a set of noisy labels received from the crowd, and to estimate the expected crowd members’ accuracy. The proposed method and algorithm can be used in a wide range of crowd-labeling applications (e.g., classification of scientific literature collections, software repositories, etc.).
An approach to the development of decision support systems with knowledge-driven automated service composition
Authors: Mustafin N , Ponomarev A , Kopylov P 
Published: February 2021

Abstract
The development of a decision support system typically requires a significant effort from both domain modelling and technical perspectives. The paper proposes an approach for reducing the complexity of decision support system development leveraging automated service composition. The rationale behind the approach is that today many software systems (including decision support systems) are based on service-oriented architecture and to some extent the development of such systems can be represented as building composition of services satisfying the specified requirements. The problem of building such compositions can be successfully addressed by automated planning algorithms. Particularly, the paper presents the functional framework of decision support systems, requirements analysis for configurable service-oriented decision support systems and their main components, and a conceptual model of a configurable service-oriented decision support system.
Using UML class diagrams for content ontology design patterns engineering
Authors: Dorodnykh N O , Nikolaychuk O A , Yurin A Y 
Published: February 2021

Abstract
The paper presents a method for Ontology Design Patterns (ODP) engineering based on the transformation of conceptual models serialized in the XML-like formats. In this paper, we use UML class diagrams as the source of conceptual models. The method includes the following activities: design and serialization of a source conceptual domain model; analysis and transformation of an XML structure of a source conceptual model to an ontological schema model; transformation of an ontological schema model to a content ODP code in the OWL 2 DL format; verification and modification of obtained content ODPs by domain experts. All transformations are implemented with the use of original domain-specific language, namely, Transformation Model Representation Language (TMRL). The proposed method is used for ODPs engineering in tasks of industrial safety inspection of technical systems. Obtained ODPs can be used for knowledge bases and intelligent systems engineering.
Technical means for determining the load of working enforcers of agricultural machines
Authors: Rogachev A F 
Published: February 2021

AbstractThe characteristics of a machine-tractor unit are determined by the indicators of the traction resistance of an agricultural machine, which require an experimental determination. The disadvantages of the known devices that provide measurements during volumetric dynamometry of the working enforcers of tillage machines are the complexity of the design and high measurement error. To improve the accuracy of experimental measurements of the dynamic loading of the working bodies of tillage machines, it is necessary to improve the technical means of measurement. Experimental determination of the loading of working bodies requires the use of a system of force sensors that affect the working bodies in different planes. Force sensors are manufactured mainly using strain gauges that are glued directly to the loaded parts. To determine the forces in the traction of the hydraulic suspension system of tractors, strain gauge fingers are used. It is shown that for the same distances of the sensors, the resulting signal does not depend on the distance of the force applied on the finger axis. Usually, force sensors are calibrated one at a time on special stands. The best calibration results will be achieved when all tenzometric fingers are installed in their proper places and all sensors are calibrated simultaneously. To do this, the intermediate plate is fixed using strain fingers on the levers of the tractor hydraulic suspension. Rymbolts are installed on the plate, to which a known force is applied three times and the readings of each of the strain fingers are taken. Solving the resulting system of equations, simultaneously find all the calibration coefficients. Additionally, a device is proposed, the kinematic scheme of which allows using a single measuring device, which simplifies the technology of measuring the force on the working body and increases its accuracy.
Trends in socio-technological impact of information technologies on the discourse of healthcare actors
Authors: Tokareva Yu M , Chizhova V M , Kardash O I , Gavrilova I S , Varavkina Y 
Published: February 2021

Abstract
The integration process of information technologies and medicine has led to the formation of cyberspace. As a result of the research, the factors of positive and negative socio-technological impact of information technologies on the discourse of health care actors were identified. Positive impact factors include the possibility of continuing medical education, reduced time spent on virtual consultations, the possibility of creating social networks, communication, and the availability of specialized medical information to patients. Negative impact factors: the problem of self-diagnosis and self-treatment, the possibility of patients receiving incorrect information on the Internet, ineffective diagnostics in virtual consultation, and patients’ distrust of the health care system.
Neural network classifiers with descriptors obtained on the basis of analysis of the system rhythms in intellectual prediction systems for non-hospital pneumonia
Authors: Myasnyankin M B , Kuzmin A A , Filist S A 
Published: February 2021

Abstract
The description of the synthesis of the risk classifier of non-hospital (community-acquired) pneumonia based on predictors is presented in the article. Predictors are compiled by analyzing the synchronicity of the systemic rhythms of the cardiovascular system and the respiratory system. Spectr of cardiac signals and wavelet coefficients of cardiac signals are used as sources of systemic rhythms. An algorithm for classifying the risk of community-acquired pneumonia in terms of synchronicity of system rhythms is proposed in the article.
Harmonic Testing Analysis of Light Emitting Diode (LED) Lamps based SNI IEC 61000-3-2 Standard
Authors: Wibowo R , Suryadi  , Priambodo P S 
Published: February 2021

Abstract
The use of LED lamps in Indonesia has increased since 2013 because of low power consumption and high efficiency. LED lamps are non-linear loads that cause harmonic distortion in the electric power system. Harmonic distortion can impact to overheating in magnetic core electrical equipment. Therefore, it is necessary to standardize the limits of the harmonic emission limits of LED lamps. In this study, the harmonics measurements of LED lamps of 22 samples from 10 brands, which include different types of EMI filters in the LED drivers, are carried out to analyze harmonic currents. Measurements in this study conducted using Teseq ProfLine 2105. The results of parameter testing of third and fifth-order harmonic currents, peak current phase angle, beginning current flow at 60 degrees, and end current at 90 degrees were analyze based on the criteria for class C SNI IEC 61000-3-2 standard. The results showed that the three samples used EMI filter inductor in the LED driver can minimize third-order harmonic currents and comply with all parameters.
Implementation of Machine Learning for Sentiment Analysis of Social and Political Orientation in Pekanbaru City
Authors: Indra Zul , Setiawan Azhari , Jusman Yessi 
Published: February 2021

Abstract
Nowadays, people are free to express their opinions regarding a problem in online social networks. One of most popular social network used to express opinions is Twitter. Public opinion in online social network has become a new source of big data that is interesting to be investigated. Opinion expressed by the public through social media is valuable data that can be further processed by using natural language processing (NLP). This research is expected to explain the social, economic, and political orientation of the people of Pekanbaru city by utilizing NLP algorithm. In addition, in terms of data sources, similar research is dominated by national studies, a little local. This research used Sentiment Analysis of Natural Language Processing (NLP) algorithm to analyze Pekanbaru citizen’s views and perceptions about social and political issues. The methods consist of: (i) data collection, (ii) data preprocessing, and (iii) sentiment classification. Thousands of tweets were extracted from Twitter API platform as research samples. As a result, the research has obtained 833 tweets about social orientation and 156 tweets about political trends. Overall, our tweets mined data were dominated with positive sentiments (53%). Education was the topic with most positive sentiments (42%) while political figure was the topic with most neutral sentiments (65%) and environment was the topic with most negative sentiments (56%). Regarding the discourses, “sampah” (garbage, waste, trash, etc) was the most posted and discussed in Twitter along with floods and air pollution topics.
Design documentation quality influential variables in the construction sector
Authors: Agbaxode Peter , Dlamini Sitsabo , Saghatforoush Ehsan 
Published: February 2021

Abstract
There are numerous studies on design documentation variables without efforts to evaluate their level of importance. Therefore, the aim of this study is to evaluate the significance of these variables towards improving design documentation quality. A questionnaire survey to identify the significance of key quality variables was carried out. A total of 139 variables on design documentation quality were used. The mean score and Standard deviation of each factor were used to determine the level of significance. Based on responses from 112 construction industry players, the significance of each variable is determined. Design documentation is fit for purpose was considered highly important as an attribute while Inadequate and Insufficient documentation was ranked highest for quality influential factors. The findings will provide valuable data to stakeholders, researchers, and academics and will help enhance project performance because professionals will be aware of key factors that can influence design documentation quality. It will also aid in providing solution to sustainable infrastructure design and delivery challenges in the industry. The study offers a pragmatic data and empirical evidence to expand knowledge on design documentation quality. It is the first of its kind that explored the significance of design documentation quality variables based on the outcome of a meta-synthesis.
The fourth industrial revolution (4thIR) and the construction industry - the role of data sharing and assemblage
Authors: Ayodele T O , Kajimo-Shakantu K 
Published: February 2021

Abstract
The technological shift over the last half-century has been termed the fourth industrial revolution (4thIR). Underpinning this digital innovation is the increasing need for data sharing and assemblage in the construction industry. The study seeks to explore the nexus between data sharing and assemblage in the industry and the 4thIR. This paper adopts a desk-based study approach and review of secondary literature on the role of data in the drive for automation in the construction industry, challenges to data assemblage, and benefits of data sharing to stakeholders. The study reveals that factors that serve as debacles to data sharing/assemblage include: unstructured nature of data, silo operation, confidentiality issues and motives of personal benefits. However, a major advantage of data sharing is the benefit of increased digital and technological compliance in the industry. The study is part of ongoing empirical research. Hence, the findings are an aggregation of perspectives/submissions from extant studies. This study presents the first attempts at exploring the preparedness of the construction industry for the 4thIR from the perspective of data and information needs of the industry.
Effective quality management strategies for enhancing the success rate of indigenous construction SMEs in construction project delivery
Authors: Sogaxa Athenkosi , Simpeh Eric , Fapohunda Julius 
Published: February 2021

AbstractThe purpose of this study is to develop effective quality management modalities that could be adopted by construction SMEs to achieve sustainable construction project success. A questionnaire was distributed to SMEs management team in the general building category registered under CIDB grade 1 – 4. To validate the questionnaire survey, interviews were conducted among purposively selected contractors who took part in the survey. The data was analysed using descriptive statistics and content analysis. The findings revealed the most significant effective quality management practices for SMEs to promote sustainable success as clear working drawings, time to time request for quality inspection, effective implementation of total quality management and benchmarking for quality management. It should be noted that the quantitative findings were consistent with the qualitative findings. This paper focuses on SME contractors with CIDB grading between 1 and 4 who are registered in the Eastern Cape province. The results obtained from this paper could be adopted as a quality management tool for construction SMEs to achieve sustainable construction project success. This study is based on SMEs effective quality management strategies and provides more comprehensive effective quality management practices that could be adopted by construction SMEs.
Quantity Surveyors Role in the Construction Health and Safety Management in Nigeria
Authors: Anugwo IC , Okorie VN 
Published: February 2021

Abstract
The issues of adequate implementation of construction Health and Safety (H&S) good practice during project tendering and execution stages has not attracted needed attention by the quantity surveyors (QS). This study assessed the roles of Quantity Surveyors (QS) to foster construction H&S good practice. This study adopted a research mixed method, a sample of hundred and fifty (150) questionnaires distributed among professional registered QS within the South-West Nigeria, and only seventy (70) were completed, and valid and this resulted in a response rate of 47%. In addition, an in-depth interviews amongst five-selected Registered Member Nigerian Institute of Quantity Surveyors. The interviews assisted the researcher to gain insights of respondents’ perceptions, and to validate the questionnaire results. The study findings suggested that the Quantity Surveyors lacks the earnest commitment and leadership inputs to foster financial provision for H&S items in the bills of quantities. The study findings further revealed that QS play little or no significant role to advice or select the contractors with H&S competencies during tendering stage. Thus, if the QS would play active leadership role in integrating of H&S cost items in bill of quantities it will significantly promote construction H&S good practice in Nigerian construction industry.
Lack of implementing Building Information Modelling in the quantity surveying profession
Authors: Gilchrist C R , Cumberlege R , Allen C 
Published: February 2021

Abstract
Quantity surveyors possess an inherent traditionalism when it comes to Building Information Modelling (BIM), preferring to follow current trends and methods rather than taking a proactive approach towards its implementation. This implicates that there is still a lack of understanding of the potential uses and benefits that BIM software will provide the profession. Within this context, the purpose of the research was to determine the reasons why professional quantity surveyors (PrQS) are not utilising BIM to improve their day-to-day tasks and functions. To conduct the research, a qualitative study was carried out using semi-structured interviews with PrQSs from various QS firms situated in Port Elizabeth. This method of data collection allowed for a more in-depth understanding of why these professionals are not utilising BIM in Port Elizabeth. The research investigated the reasons behind these PrQSs not utilising BIM to improve current methods of managing construction costs on projects. The results revealed that there are challenges that QSs face in the construction industry in terms of their working methods. The results also identified the potential of BIM to help mitigate these challenges with interviewees mentioning several benefits that the BIM software will provide for the QS. Despite BIM’s potential in the QS profession, the results showed that there are still several barriers holding professionals back, the most prominent being the lack of senior leadership support, knowledge of BIM, a lack of full team integration and the cost of implementing BIM. The main limitation of the study was that the number of responses was limited due to the fact that very few quantity surveyors were experienced in, or, had knowledge about BIM. As degrees of regional sentiment, and industry development also had influence on participants’ answers, the findings may not be suitable or be generalised to other provinces in South Africa. The findings will assist all stakeholders in the QS profession, as they will be more informed about potential benefits and challenges to BIM implementation, which will provide them with greater knowledge of how it works and precisely what it is capable of doing.
Insight into the millennial mind-set: Impact of 4IR and Society 5.0 on the real estate, construction and other industries
Authors: Cook L L 
Published: February 2021

Abstract
The exponential adaption rate of new 4IR technology brings about challenges generally experienced as complex and even threatening by real estate and construction industry practitioners. Now faced with Society 5.0 in which people’s lives are made more comfortable and sustainable by continuously creating new tech driven services and value adds, seasoned practitioners may feel overwhelmed as fringe disciplines encroach on their domain with tech savvy “smart” solutions. The millennial mind-set of practicality, optimism, and confidence could aid our industries in addressing the burning issues we presently face with an underperforming sector due to general economic downturn, further fuelled by COVID-19.
The influence of sustainable features on liquidity of houses in the Czech Republic
Authors: Jandaskova T , Hrdlicka T , Komosna M 
Published: February 2021

Abstract
The construction industry has a significant impact on the environment, and it especially affects the level of greenhouse gases. It also reduces the greenhouse gases through constructing and operating sustainable buildings. Sustainable buildings include buildings that meet basic sustainable principles, namely environmental, social, and economic. Sustainable buildings are very often associated with certified buildings (LEED, BREEAM). However, sustainable buildings do not have to be certified to fulfill the idea of sustainability. The question is, how much does sustainability affect the selling prices of houses. A database of 570 sold houses in the district of Brno – venkov in the period of years 2017 - 2019 was compiled. It was found that 5.6% of the houses featured some sustainable aspects, such as heat recovery systems, natural construction materials and all alternative technologies. The factors of liquidity were considered and evaluated. In case of the sustainable houses 3.0 % higher ΔP (difference between asking and market price) was detected. Influence on time on the market was not proven. Based on ANOVA analysis, the impact of sustainable features of houses on the selling prices was not found. Analysis was carried out by a semi-database of 122 houses sold in the year 2017.
Cross-border Cooperation in the Field of Investment Activity with Regional Development Implications
Authors: Vaňková L , Kocourková G , Krejza Z 
Published: February 2021

Abstract
The article focuses on the issue of cross-border cooperation in the field of investment activity and its impact on the sustainable regional development. In particular, subsidy funds of the European Union are closely linked to regional development. This article covers the research of mapping the situation of cross-border cooperation of the territory of interest, which is partly formed by the South Moravian Region in the Czech Republic and partly by the Trnava and Bratislava Regions in the Slovak Republic. This area comprises 43 municipalities in the Czech Republic and 70 municipalities in the Slovak Republic. The questionnaire survey carried out showed that cross-border cooperation is more applied in the Czech Republic, while the Slovak Republic is more sceptical about the cross-border cooperation projects. Based on the evaluation of the questionnaires, a specific investment project was chosen between the municipalities of Mikulčice and Kopčany, which was financed through the European Regional Development Fund, specifically the Interreg V-A programme the Slovak Republic – Czech Republic. Analysis of the current state of financing was carried out for this project with proposals of possible other financing options. At the end of the article, the impact of the project on the sustainable development of border regions is evaluated.
Estimation of NOx emissions from the combustion chamber of heavy-duty gas turbines
Authors: Zhao Qiaonan , Wang Guofeng , Zhang Haonan , Xu Youning , Yang Shuo 
Published: February 2021

Abstract
In order to study the estimation of NOx emission, numerical optimization and data fitting methods are used to study the NOx emission law of the combustion chamber of heavy-duty gas turbines. The inlet pressure Pin, air mass flow ma, and average temperature in the combustion zone Tpz are used for the fitting of NOx emission estimation formula under the multi-parameter impact. The results show that this is a fast and effective research method for the estimation of NOx emissions in the combustion chamber under the condition of ensuring the accuracy, which can obtain the NOx emission far below the average level under the condition of optimal inlet pressure.