bluuebunny/crossref_metadata_2025 huggingface dataset:
Deep-Framework: A Distributed, Scalable, and Edge-Oriented Framework for Real-Time Analysis of Video Streams
Authors: Sassu Alessandro , Saenz-Cogollo Jose Francisco , Agelli Maurizio
Published: June 2021

Edge computing is the best approach for meeting the exponential demand and the real-time requirements of many video analytics applications. Since most of the recent advances regarding the extraction of information from images and video rely on computation heavy deep learning algorithms, there is a growing need for solutions that allow the deployment and use of new models on scalable and flexible edge architectures. In this work, we present Deep-Framework, a novel open source framework for developing edge-oriented real-time video analytics applications based on deep learning. Deep-Framework has a scalable multi-stream architecture based on Docker and abstracts away from the user the complexity of cluster configuration, orchestration of services, and GPU resources allocation. It provides Python interfaces for integrating deep learning models developed with the most popular frameworks and also provides high-level APIs based on standard HTTP and WebRTC interfaces for consuming the extracted video data on clients running on browsers or any other web-based platform.
A Fully Distributed Protocol with an Event-Triggered Communication Strategy for Second-Order Multi-Agent Systems Consensus with Nonlinear Dynamics
Authors: Li Tao , Qiu Quan , Zhao Chunjiang
Published: June 2021

This paper presents the communication strategy for second-order multi-agent systems with nonlinear dynamics. To address the problem of the scarcity of communication channel resources and get rid of using continuous signals among the followers in lead-follower multi-agent systems, a novel event-triggered communication mechanism is proposed in this paper. To avoid employing the centralized information that depends on the Laplacian matrix spectrum, a network protocol with updated coupling gains is proposed, as well as an event-triggered strategy with updated thresholds. To eliminate the ill effects of inter-node communicating noise, relative positions are employed by the protocol instead of absolute positions. By a Lyapunov–Krasovskii functional, it is rigorously proven that the leader-following consensus of MASs is achieved without Zeno behavior, under the control of the proposed protocol with an event-triggered mechanism communication. The effectiveness of the proposed protocol is verified through numerical examples.
Application of Deep Learning Networks to Segmentation of Surface of Railway Tracks
Authors: Bojarczak Piotr , Nowakowski Waldemar
Published: June 2021

The article presents a vision system for detecting elements of railway track. Four types of fasteners, wooden and concrete sleepers, rails, and turnouts can be recognized by our system. In addition, it is possible to determine the degree of sleeper ballast coverage. Our system is also able to work when the track is moderately covered by snow. We used a Fully Convolutional Neural Network with 8 times upsampling (FCN-8) to detect railway track elements. In order to speed up training and improve performance of the model, a pre-trained deep convolutional neural network developed by Oxford’s Visual Geometry Group (VGG16) was used as a framework for our system. We also verified the invariance of our system to changes in brightness. To do this, we artificially varied the brightness of images. We performed two types of tests. In the first test, we changed the brightness by a constant value for the whole analyzed image. In the second test, we changed the brightness according to a predefined distribution corresponding to Gaussian function.
Terahertz Pulse Emission from Semiconductor Heterostructures Caused by Ballistic Photocurrents
Authors: Malevich Vitaly Leonidovich , Ziaziulia Pavel Aliaksandravich , Norkus Ričardas , Pačebutas Vaidas , Nevinskas Ignas , Krotkus Arūnas
Published: June 2021

Terahertz radiation pulses emitted after exciting semiconductor heterostructures by femtosecond optical pulses were used to determine the electron energy band offsets between different constituent materials. It has been shown that when the photon energy is sufficient enough to excite electrons in the narrower bandgap layer with an energy greater than the conduction band offset, the terahertz pulse changes its polarity. Theoretical analysis performed both analytically and by numerical Monte Carlo simulation has shown that the polarity inversion is caused by the electrons that are excited in the narrow bandgap layer with energies sufficient to surmount the band offset with the wide bandgap substrate. This effect is used to evaluate the energy band offsets in GaInAs/InP and GaInAsBi/InP heterostructures.
A Camera-Based Position Correction System for Autonomous Production Line Inspection
Authors: Bedaka Amit Kumar , Lee Shao-Chun , Mahmoud Alaa M. , Cheng Yong-Sheng , Lin Chyi-Yeu
Published: June 2021

Visual inspection is an important task in manufacturing industries in order to evaluate the completeness and quality of manufactured products. An autonomous robot-guided inspection system was recently developed based on an offline programming (OLP) and RGB-D model system. This system allows a non-expert automatic optical inspection (AOI) engineer to easily perform inspections using scanned data. However, if there is a positioning error due to displacement or rotation of the object, this system cannot be used on a production line. In this study, we developed an automated position correction module to locate an object’s position and correct the robot’s pose and position based on the detected error values in terms of displacement or rotation. The proposed module comprised an automatic hand–eye calibration and the PnP algorithm. The automatic hand–eye calibration was performed using a calibration board to reduce manual error. After calibration, the PnP algorithm calculates the object position error using artificial marker images and compensates for the error to a new object on the production line. The position correction module then automatically maps the defined AOI target positions onto a new object, unless the target position changes. We performed experiments that showed that the robot-guided inspection system with the position correction module effectively performed the desired task. This smart innovative system provides a novel advancement by automating the AOI process on a production line to increase productivity.
Vision-Based Hybrid Controller to Release a 4-DOF Parallel Robot from a Type II Singularity
Authors: Pulloquinga José L. , Escarabajal Rafael J. , Ferrándiz Jesús , Vallés Marina , Mata Vicente , Urízar Mónica
Published: June 2021

The high accuracy and dynamic performance of parallel robots (PRs) make them suitable to ensure safe operation in human–robot interaction. However, these advantages come at the expense of a reduced workspace and the possible appearance of type II singularities. The latter is due to the loss of control of the PR and requires further analysis to keep the stiffness of the PR even after a singular configuration is reached. All or a subset of the limbs could be responsible for a type II singularity, and they can be detected by using the angle between two output twist screws (OTSs). However, this angle has not been applied in control because it requires an accurate measure of the pose of the PR. This paper proposes a new hybrid controller to release a 4-DOF PR from a type II singularity based on a real time vision system. The vision system data are used to automatically readapt the configuration of the PR by moving the limbs identified by the angle between two OTSs. This controller is intended for a knee rehabilitation PR, and the results show how this release is accomplished with smooth controlled movements where the patient’s safety is not compromised.
All Silica Micro-Fluidic Flow Injection Sensor System for Colorimetric Chemical Sensing
Authors: Budinski Vedran , Donlagic Denis
Published: June 2021

This paper presents a miniature, all-silica, flow-injection sensor. The sensor consists of an optical fiber-coupled microcell for spectral absorption measurements and a microfluidic reagent injection system. The proposed sensor operates in back reflection mode and, with its compact dimensions, (no more than 200 µm in diameter) enables operation in small spaces and at very low flow rates of analyte and reagent, thus allowing for on-line or in-line colorimetric chemical sensing.
Roadmap of Terahertz Imaging 2021
Authors: Valušis Gintaras , Lisauskas Alvydas , Yuan Hui , Knap Wojciech , Roskos Hartmut G.
Published: June 2021

In this roadmap article, we have focused on the most recent advances in terahertz (THz) imaging with particular attention paid to the optimization and miniaturization of the THz imaging systems. Such systems entail enhanced functionality, reduced power consumption, and increased convenience, thus being geared toward the implementation of THz imaging systems in real operational conditions. The article will touch upon the advanced solid-state-based THz imaging systems, including room temperature THz sensors and arrays, as well as their on-chip integration with diffractive THz optical components. We will cover the current-state of compact room temperature THz emission sources, both optolectronic and electrically driven; particular emphasis is attributed to the beam-forming role in THz imaging, THz holography and spatial filtering, THz nano-imaging, and computational imaging. A number of advanced THz techniques, such as light-field THz imaging, homodyne spectroscopy, and phase sensitive spectrometry, THz modulated continuous wave imaging, room temperature THz frequency combs, and passive THz imaging, as well as the use of artificial intelligence in THz data processing and optics development, will be reviewed. This roadmap presents a structured snapshot of current advances in THz imaging as of 2021 and provides an opinion on contemporary scientific and technological challenges in this field, as well as extrapolations of possible further evolution in THz imaging.
Employee-Oriented CSR and Unethical Pro-Organizational Behavior: The Role of Perceived Insider Status and Ethical Climate Rules
Authors: Yin Changqin , Zhang Yajun , Lu Lu
Published: June 2021

Although existing research generally has found that corporate social responsibility (CSR) has a positive impact on organizations and individuals, researchers should still be alert to the potential risks it may bring. This study will explore why employee-oriented corporate social responsibility (employee-oriented CSR) triggers unethical pro-organizational behavior (UPB). Based on the social identity theory, this study establishes a moderated mediation model to explore the impact mechanism of employee-oriented CSR on UPB. We collected survey data from 298 employees of manufacturing organizations to test our research model. The regression statistics results indicate that employee-oriented CSR can indirectly (via perceived insider status (PIS)) affect employees’ UPB. Moreover, ethical climate rules negatively moderate the relationship between PIS and UPB, and negatively moderate the indirect effect of employee-oriented CSR on UPB. This study promotes a full understanding of the impact of CSR, expands the micro-foundation of CSR, and extends the research on the antecedents of employees’ UPB by revealing the social-psychological mechanism of employee-oriented CSR impact UPB, and also gives specific suggestions to put into practice.
An ISM Approach for Managing Critical Stakeholder Issues Regarding Carbon Capture and Storage (CCS) Deployment in Developing Asian Countries
Authors: Abdullah Muhammad Ridhuan Tony Lim , Siraj Saedah , Ghazali Zulkipli
Published: June 2021

Carbon capture and storage (CCS) technology deployment in developing Asian countries largely depends on public acceptance, which is highly dependent on the stakeholders involved in CCS. This paper illuminates how stakeholder issues could be strategically managed in the deployment of CCS, in a manner customized to such developing countries. Based on the input from 28 stakeholders of various interests and nationalities (i.e., from China, Malaysia, Thailand, Vietnam, the Philippines, and Indonesia), this study applies Interpretive Structural Modeling (ISM) and MICMAC analysis, in order to develop a management model to address stakeholder issues regarding the deployment of CCS. Our findings revealed eight legislative issues, four social issues, three economic issues, five technological issues, and five environmental management issues. The model revealed that legislative issues, such as those relating to CO2 definition, licensing, land acquisition framework, and expertise, should be managed prior to other issues, that is, in the early stage of CCS deployment. Addressing environmental issues related to promoting public awareness and perception of CCS benefits are among the key drivers in deploying CCS. The study may serve as a reference for CCS deployment in developing Asian countries.
Effects of Rhizophagus intraradices on Plant Growth and the Composition of Microbial Communities in the Roots of Continuous Cropping Soybean at Maturity
Authors: Jie Wei-Guang , Yao Yan-Xuan , Guo Na , Zhang Ying-Zhi , Qiao Wei
Published: June 2021

Soybean is the major food and oil crop in the world. However, soybean continuous cropping can significantly reduce soybean yield. In this study, the effects of Rhizophagus intraradices on soybean growth and the composition of microbial communities in soybean roots under different continuous cropping regimes were investigated at maturity. The results showed that the mycorrhizal colonization rate was affected by R. intraradices and soybean continuous cropping. The mycorrhizal colonization rate was the highest in the inoculated soybean plants under 1 year of continuous cropping. Inoculation of R. intraradices significantly increased soybean plant growth. The greatest biomass parameters were obtained from the soybean plants inoculated with R. intraradices under 0 years of continuous cropping. Bacterial diversity was decreased by soybean continuous cropping, while the opposite result occurred for fungal diversity. Moreover, inoculation of R. intraradices could increase and decrease the diversity of bacteria and fungi in soybean roots, respectively. It also indicated that R. intraradices and soybean continuous cropping had significant effects on the composition of microbial communities in soybean roots. Proteobacteria and Ascomycota were the most dominant bacterial and fungal phylum in all samples, respectively. It would contribute to developing a biocontrol strategy to alleviate the soybean continuous cropping obstacles.
What Do People Say When They Become “Future People”?―Positioning Imaginary Future Generations (IFGs) in General Rules for Good Decision-Making
Authors: Hiromitsu Toshiaki , Kitakaji Yoko , Hara Keishiro , Saijo Tatsuyoshi
Published: June 2021

In public decisions with long-term implications, decisions of the present generation will affect long-term welfare, including future generations. However, only the present generation is able to participate in such decision-making processes. In this study, we invited “Imaginary Future Generations” (IFGs), as participants in a discussion who take on the role of members of future generations to argue on behalf of their future interests to engage in present-day deliberations among residents of a Japanese town. Through analysis, it was seen that the deliberations among IFGs rose interest in issues that are related to common fundamental needs across generations. While the cognitive aspects of interpersonal reactivity, which measure the reactions of one individual to the observed experiences of another, were seen as useful in arguing for the interests of future generations, it was suggested that the environment for deliberation had a significant impact on the ability to effectively take on the role of members of future generations. Finally, this paper positioned IFGs within the broad context of general rules for good decision-making, based on an analysis of these deliberations and in light of philosophical arguments such as the veil of ignorance by John Rawls.
A Review on Improving Asphalt Pavement Service Life Using Gilsonite-Modified Bitumen
Authors: Al Hawesah Hayder , Sadique Monower , Harris Clare , Al Nageim Hassan , Stopp Karl , Pearl Harry , Shubbar Ali
Published: June 2021

Hot mix asphalt has various benefits such as good workability and durability. It is one of the most general materials used as asphalt mixtures in road pavements. Asphalt mixtures and binders can be improved by modifying them with various additives. Gilsonite is a natural asphalt hydrocarbon which may be used as an additive to hot mix asphalt. It is used as an asphalt binder modifier (wet process) and an asphalt mixture modifier (dry process) to improve the properties of the mix. It provides the option of improved rheological properties, stability, strength rutting resistance and moisture sensitivity. This paper examines the current research relating to the use of gilsonite to improve the asphalt properties (binder and mixture). The rheological properties of the modified asphalt binders and mechanical properties of the modified asphalt mixtures will be reviewed. The influence of adding gilsonite individually or combined with other additives will be discussed. Furthermore, assessment of the environmental and economic perspectives of the studied asphalt along with some suggestions to improve the asphalt binders and mixtures will be explored.
Optimal Allocation of Multiple Types of Distributed Generations in Radial Distribution Systems Using a Hybrid Technique
Authors: Selim Ali , Kamel Salah , Mohamed Amal A. , Elattar Ehab E.
Published: June 2021

In recent years, the integration of distributed generators (DGs) in radial distribution systems (RDS) has received considerable attention in power system research. The major purpose of DG integration is to decrease the power losses and improve the voltage profiles that directly lead to improving the overall efficiency of the power system. Therefore, this paper proposes a hybrid optimization technique based on analytical and metaheuristic algorithms for optimal DG allocation in RDS. In the proposed technique, the loss sensitivity factor (LSF) is utilized to reduce the search space of the DG locations, while the analytical technique is used to calculate initial DG sizes based on a mathematical formulation. Then, a metaheuristic sine cosine algorithm (SCA) is applied to identify the optimal DG allocation based on the LSF and analytical techniques instead of using random initialization. To prove the superiority and high performance of the proposed hybrid technique, two standard RDSs, IEEE 33-bus and 69-bus, are considered. Additionally, a comparison between the proposed techniques, standard SCA, and other existing optimization techniques is carried out. The main findings confirmed the enhancement in the convergence of the proposed technique compared with the standard SCA and the ability to allocate multiple DGs in RDS.
Can Talent Management Improve Training, Sustainability and Excellence in the Labor Market?
Authors: Ferreiro-Seoane Francisco J. , Miguéns-Refojo Vanessa , Atrio-Lema Yago
Published: June 2021

The objective of this article is to analyze the characteristics of the most attractive companies in the labor market, which each year maintained their position in the ranking published by the Spanish business magazine Actualidad Económica (AE) for the period 2013–2020. The research study will focus on permanence in ranking, global valuation, and training. To do this, control variables were added: business management gender, geo-cultural areas, regional areas, economic activity, size and stock market membership. This is a quantitative work, where statistics such as partial correlations, Pearson coefficients and independent sample means were used with the Levene test; in modeling, multiple regressions of ordinary least squares (OLS) and panel data were used. It is concluded that the permanence in the ranking significantly increases the total value and training, which leads companies to excellence, along with the fact that they are in the capital of the country and that they focus on the commerce, professional, scientific and technical, and finance and insurance sectors. On the other hand, assessment of training is explained by employee valuation, the work environment and talent management. On the contrary, factors such as the gender variable in the business direction, nationality, size and stock market membership do not significantly influence the overall valuation.
Design of Capacitive Bridge Fault Current Limiter for Low-Voltage Ride-Through Capacity Enrichment of Doubly Fed Induction Generator-Based Wind Farm
Authors: Padmaja A. , Shanmukh Allusivala , Mendu Siva Subrahmanyam , Devarapalli Ramesh , Serrano González Javier , García Márquez Fausto Pedro
Published: June 2021

The increase in penetration of wind farms operating with doubly fed induction generators (DFIG) results in stability issues such as voltage dips and high short circuit currents in the case of faults. To overcome these issues, and to achieve reliable and sustainable power from an uncertain wind source, fault current limiters (FCL) are incorporated. This work focuses on limiting the short circuit current level and fulfilling the reactive power compensation of a DFIG wind farm using a capacitive bridge fault current limiter (CBFCL). To deliver sustainable wind power to the grid, a fuzzy-based CBFCL is designed for generating optimal reactive power to suppress the instantaneous voltage drop during the fault and in the recovery state. The performance of the proposed fuzzy-based CBFCL is presented under a fault condition to account for real-time conditions. The results show that the proposed fuzzy-based CBFCL offers a more effective solution for overcoming the low voltage ride through (LVRT) problem than a traditional controller.
A Quantitative Investigation on Awareness of Renewable Energy Building Technology in the United Arab Emirates
Authors: Albattah Mohammed , Attoye Daniel Efurosibina
Published: June 2021

Sustainability in architecture engages a wide range of considerations in the light of the significant negative impact of buildings on the environment. One aspect of research in this parlance engages the technological and the social dimensions of building innovation, which promote the use of renewable technology as a mitigation strategy. The challenge, however, is that the end-users or building clients do not always have sufficient awareness and information regarding these technologies to guide their decision to accept it. Consequently, the diffusion of said innovations is slow, and the environmental or building problems they were invented to solve persist at the expense of both humanity and the environment. This study, therefore, focuses on a quantitative investigation to ascertain the level of awareness and interest of residents in the United Arab Emirates (UAE) on Building Integrated Photovoltaics (BIPV) as an example of renewable energy-based building technology. In this study, 289 residents participated, following the distribution of a questionnaire to demographically distinct individuals. This distinction was used in the analysis to highlight different groups such as, gender, generations, and occupational background of the respondents. The findings of the study show, firstly, that there is a high level of awareness of BIPV in the sample. The study also shows that comparing awareness with each of these demographic variables produced a second layer of findings. For example, the statistical analysis showed that there is no significant difference between the level of awareness and any of the demographic characteristics of the study participants. However, there is a significant statistical difference (p = 0.000) between awareness and interest in BIPV. In concluding this study, recommendations for further research that elaborates other statistical variables and tests, as well as a follow-up qualitative investigation are planned and outlined for future studies. The findings of this investigation may be of benefit to researchers, policy makers, as well as energy companies and marketing agencies within and outside the region.
Heritage Education and Research in Museums. Conceptual, Intellectual and Social Structure within a Knowledge Domain (2000–2019)
Authors: Monteagudo-Fernández José , Gómez-Carrasco Cosme J. , Chaparro-Sainz Álvaro
Published: June 2021

Heritage and museums have constituted two fundamental axes of heritage education research in recent decades. This can be defined as the pedagogical process in which people can learn about heritage assets in formal or informal learning contexts. Museums, as centres of reference in informal education, are in constant and fluid contact with schools and produce different and varied didactic materials related to heritage. This paper provides results concerning the development and shaping of the knowledge domain known as heritage education between 2000 and 2019 on the Web of Science (WoS). To this end, different techniques and tools have been used: R-package Bibliometrix and VOSviewer. This analysis has identified five clusters with the topics underpinning heritage education as a specific field of knowledge. Our inquiry has highlighted the fact that there has been an increase in production regarding research topics associated with heritage education and museums in this period, particularly between 2015 and 2019. The inclusion of ESCI journals has led to a greater visibility of WoS-indexed academic production in some countries. Finally, the concepts “heritage”, “museum” and “education” are the axes around which the research paradigms related to heritage education research seem to have been developed.
Sustainable Feasibility of the Environmental-Friendly Policies on Agriculture and Its Related Sectors in India
Authors: Debbarma Jahira , Lee Hyoungsuk , Choi Yongrok
Published: June 2021

In terms of economic development and feeding the world’s populations, the importance of the agricultural sector is well known. However, agriculture and its related sectors are also known for contributing more than one-quarter of the world’s GHG emissions. To address this issue, we evaluate the performance of agriculture and its related firms in India from 2013 to 2019 with its environmental efficiency under the paradigm shift promoted by the National Agroforestry Policy in 2014. To evaluate the feasibility of this paradigm shift in agricultural policy, the non-radial slack-based measure (SBM) is utilized in the first stage, and Tobit regressions are used to assess the determinants of efficiency (or sources of inefficiency) measures at the second stage. The results from non-radial SBM show that Indian agricultural firms (foreign direct investment, private, and public) show huge potential with 32.2% on average to enhance their performance if they move toward the frontier of the production possibility curve. This suggests that Indian policymakers should regulate much stronger regulations for firms, especially for the use of agricultural inputs such as energy (fertilizers), with performance-oriented financial measures for sustainable agriculture. To determine the strategic variables for these firms to enhance their performance, Tobit regressions showed that fertilizers use (−3.350%) appears to have the highest negative impact on environmental efficiency. On the other hand, credit access (2.710%) has the highest positive impact on environmental efficiency, implying that policymakers should provide subsidies to firms in the form of soft loans (or credit access) for the purchase of high-quality fertilizers and to adopt energy-saving equipment/technology to minimize the use of chemical fertilizers in India.
Bartering: Price-Setting Newsvendor Problem with Barter Exchange
Authors: Bieniek Milena
Published: June 2021

Barter exchange is a system of swapping goods or services for other goods or services in a moneyless and direct manner. Barter has become an effective model of a circular economy because it reduces the consumption impact. Bartering maximizes the utility of assets and existing resources, and can unleash the unspent social, economic, and environmental value of underutilized assets. The present article analyzes the price-setting newsvendor problem with a barter exchange option. The retailer facing a stochastic price-dependent demand sells a product on the market and, additionally, needs another product for its own purposes. Therefore, first, the retailer trades the unsold product for the product it needs by means of barter, and next disposes of the unsold product at a discounted price at the end of the selling season. The retailer’s optimal order quantity and optimal price are derived assuming additive uncertainty in demand. This type of demand function has special characteristics, for example, the actual demand may attain negative values in times of economic uncertainty. The possibility of negative demand realizations is taken into consideration in the study. It proves that, in certain cases, the optimal solution belongs to the set of high barter prices which implies that the actual demand may be negative.
Food and Religion in Sicily—A New Green Tourist Destination by an Ancient Route from the Past
Authors: Bellia Claudio , Scavone Valeria , Ingrassia Marzia
Published: June 2021

The Francigena Way (Via Francigena) is a long international itinerary that was awarded recognition as a Culture Route of the Council of Europe. It starts in Canterbury (UK), touches 13 European regions and ends in Rome. An ancient track of this route is in Sicily (Southern Italy), and its name is Magna Via Francigena (Great Francigena Way). This track is a pilgrimage route that connects two ancient port cities, Palermo and Agrigento, passing through internal rural territories that now deal with the exodus of population from rural to urban areas. The route passes through the Sicilian territory named “Upper-Belìce corleonese”, a rural area around the city of Corleone (a little village known worldwide for the sad Mafia events) that includes a number of municipalities. In the past, this religious pilgrimage was a fundamental part of the expression of faith for Christians and now still represents for Sicilians a strong symbol of Christian identity. In recent decades, pilgrimage tourism around the world has grown significantly each year. The aim of the study is to know the pilgrims’ motivations for choosing the Magna Via Francigena pilgrimage as a vacation and any possible similarities between pilgrimage tourism and food and wine tourism, in the wider context of sustainable and slow tourism. The Policy Delphi method was applied to collect the opinions of the stakeholders involved. The study highlighted the strong link between religious motivations and local enogastronomy, culture, art and nature. Results will support policy-making in the development of integrated territorial tourist marketing strategies.
Comparative Evaluation of Top-Down GOSAT XCO2 vs. Bottom-Up National Reports in the European Countries
Authors: Hwang Youngseok , Schlüter Stephan , Choudhury Tanupriya , Um Jung-Sup
Published: June 2021

Submitting national inventory reports (NIRs) on emissions of greenhouse gases (GHGs) is obligatory for parties of the United Nations Framework Convention on Climate Change (UNFCCC). The NIR forms the basis for monitoring individual countries’ progress on mitigating climate change. Countries prepare NIRs using the default bottom–up methodology of the Intergovernmental Panel on Climate Change (IPCC), as approved by the Kyoto protocol. We provide tangible evidence of the discrepancy between official bottom–up NIR reporting (unit: tons) versus top–down XCO2 reporting (unit: ppm) within the European continent, as measured by the Greenhouse Gases Observing Satellite (GOSAT). Bottom–up NIR (annual growth rate of CO2 emission from 2010 to 2016: −1.55%) does not show meaningful correlation (geographically weighted regression coefficient = −0.001, R2 = 0.024) to top–down GOSAT XCO2 (annual growth rate: 0.59%) in the European countries. The top five countries within the European continent on carbon emissions in NIR do not match the top five countries on GOSAT XCO2 concentrations. NIR exhibits anthropogenic carbon-generating activity within country boundaries, whereas satellite signals reveal the trans-boundary movement of natural and anthropogenic carbon. Although bottom–up NIR reporting has already gained worldwide recognition as a method to track national follow-up for treaty obligations, the single approach based on bottom–up did not present background atmospheric CO2 density derived from the air mass movement between the countries. In conclusion, we suggest an integrated measuring, reporting, and verification (MRV) approach using top–down observation in combination with bottom–up NIR that can provide sufficient countrywide objective evidence for national follow-up activities.
An Analytical Approach to Assess the Influence of Expert Panel Answer on Decision Making: The Case of Sustainable Land Use in Ribadavia Banda Norte, Salta (Argentina)
Authors: Gualotuña Parra José Alex , Tarquis Ana M. , Grau Olivé Juan B. , Colombo Speroni Federico , Saa-Requejo Antonio
Published: June 2021

Many of the techniques for making decisions, including land use, depend on the weight assigned for each criterion. These criteria can be based on a panel of experts’ opinions, who assess certain decisions’ influence on the final objectives. These opinions should be contrasted to decide if they are used or select the ones used to achieve an internal coherence. In this study, we evaluate the responses provided by an expert panel in the context of future environmental management of an agroforestry territory in the Salta Province (Argentina). The experts belong to different entities in the studied area, such as Universities, Research Centers, Administrative Authorities, Associations, and non-governmental organizations. They evaluated five productive techniques’ influence on 31 criteria related to environmental, social, and economic consequences. The Kendall’s Tau correlation coefficient between each pair of experts’ opinions is proposed to measure the rate of agreement among the expert panel answers. From these coefficients, a concordance matrix is generated. Based on this matrix, dendrograms are created to group the experts. In this case study, the results show two productive techniques with a high discordance rate, while the other three have a higher agreement among the expert panelists. The influence of these results in a multicriteria decision about the productive use of land is evaluated.
Optimum Distribution System Expansion Planning Incorporating DG Based on N-1 Criterion for Sustainable System
Authors: Mubarak Hamza , Mansor Nurulafiqah Nadzirah , Mokhlis Hazlie , Mohamad Mahazani , Mohamad Hasmaini , Muhammad Munir Azam , Al Samman Mohammad , Afzal Suhail
Published: June 2021

Demand for continuous and reliable power supply has significantly increased, especially in this Industrial Revolution 4.0 era. In this regard, adequate planning of electrical power systems considering persistent load growth, increased integration of distributed generators (DGs), optimal system operation during N-1 contingencies, and compliance to the existing system constraints are paramount. However, these issues need to be parallelly addressed for optimum distribution system planning. Consequently, the planning optimization problem would become more complex due to the various technical and operational constraints as well as the enormous search space. To address these considerations, this paper proposes a strategy to obtain one optimal solution for the distribution system expansion planning by considering N-1 system contingencies for all branches and DG optimal sizing and placement as well as fluctuations in the load profiles. In this work, a hybrid firefly algorithm and particle swarm optimization (FA-PSO) was proposed to determine the optimal solution for the expansion planning problem. The validity of the proposed method was tested on IEEE 33- and 69-bus systems. The results show that incorporating DGs with optimal sizing and location minimizes the investment and power loss cost for the 33-bus system by 42.18% and 14.63%, respectively, and for the 69-system by 31.53% and 12%, respectively. In addition, comparative studies were done with a different model from the literature to verify the robustness of the proposed method.
The Landscape of Scientific Discussions on the Competencies 4.0 Concept in the Context of the 4th Industrial Revolution—A Bibliometric Review
Authors: Poszytek Paweł
Published: June 2021

The concept of Competencies 4.0 stems from a broader term of the 4th Industrial Revolution, also named Industry 4.0, which dates back to 2011, when the German Federal Government announced its high-tech strategy and policy towards increasing the competitiveness of the German economy during the Hannover Fair. These terms and concepts have been thoroughly and extensively discussed, analysed, and researched by experts within various scientific disciplines such as management, economy, psychology, education, human resources, informatics and systemics ever since. Due to the relevance of the Industry 4.0 concept in relation to current socio-economic challenges worldwide, the growing interest on the part of researchers and the proliferation of the above-mentioned terms in the literature, a network of patterns and relations has formed constituting a scientific landscape of the whole phenomenon. Accordingly, the aim of the analysis in this article is to map the landscape of scientific discussions on Competencies 4.0 in the context of the 4th Industrial Revolution. So far, some of the aspects of this landscape have been researched with the use of various databases, search engines and software in order to process and visualise retrieved data. All of these tools have their advantages but also their shortcomings. This research uses the Scopus database and the author’s own algorithm to process the data. The results of the analysis provide a point of reference for scholars, practitioners, managers, policy and decision makers from various fields who search for sources which define Competencies corresponding to current and future socio-economic challenges in the context of the 4th Industrial Revolution.
E-learning Personalization Systems and Sustainable Education
Authors: Klašnja-Milićević Aleksandra , Ivanović Mirjana
Published: June 2021

In the World Declaration on Higher Education, the concept of higher education is defined as “all types of studies, training or research training at the postsecondary level, provided by universities or other educational establishments that are approved as institutions of higher education by the competent state authorities” [...]
Measuring Behavioural Intention through the Use of Greenwashing: A Study of the Mediating Effects and Variables Involved
Authors: Gil-Cordero Eloy , Cabrera-Sánchez Juan Pedro , Cepeda-Carrión Ignacio , Ortega-Gutierrez Jaime
Published: June 2021

The work aims to achieve a better understanding of firms’ green strategy, and specifically, in the false green strategy called greenwashing, and the relationships between greenwashing (GW) and behaviour intention (BI), and how this relationship is affected by word of mouth (WOM) and corporative social responsability (CRS). A survey was conducted and 198 valid and complete online questionnaires were collected from users of urban mobility apps (Blablacar and Amovens) in Spain. The structural equation modeling technique partial least squares (PLS-SEM) was used to test the proposed research model and hypothesized relationships. The results of our study indicate that the direct relationship between GW and BI is not supported, although the indirect relationship through WOM and CRS is significant, so that both become mediating variables of the GW and BI relationship. The paper also analyzes the direct relationships between GW, CRS, WOM and BI, so that the direct effects GW and CRS; CRS and WOM; and WOM and BI are significant. This empirical study analyzes the effect of GW, which has not been studied much, especially in empirical research. The study analyzes several variable consequences of GW and analyzes mediating effects of CRS and WOM on the GW and BI relationship. The study also includes two behavioral indicators, WOM and BI, in a research model, and, additionally, the study demonstrates the relationship between GW and perceived CRS.
The City-Wide Impacts of the Interactions between Shared Autonomous Vehicle-Based Mobility Services and the Public Transportation System
Authors: Tak Sehyun , Woo Soomin , Park Sungjin , Kim Sunghoon
Published: June 2021

When attempts are made to incorporate shared autonomous vehicles (SAVs) into urban mobility services, public transportation (PT) systems are affected by the changes in mode share. In light of that, a simulation-based method is presented herein for analyzing the manner in which mode choices of local travelers change between PT and SAVs. The data used in this study were the modal split ratios measured based on trip generation in the major cities of South Korea. Subsequently, using the simulated results, a city-wide impact analysis method is proposed that can reflect the differences between the two mode types with different travel behaviors. As the supply–demand ratio of SAVs increased in type 1 cities, which rely heavily on PT, use of SAVs gradually increased, whereas use of PT and private vehicles decreased. Private vehicle numbers significantly reduced only when SAVs and PT systems were complementary. In type 2 cities, which rely relatively less on PT, use of SAVs gradually increased, and use of private vehicles decreased; however, no significant impact on PT was observed. Private vehicle numbers were observed to reduce when SAVs were operated, and the reduction was a minimum of thrice that in type 1 cities when SAVs and PT systems interacted. Our results can therefore aid in the development of strategies for future SAV–PT operations.
Sustainability of the Benefits of Social Media on Socializing and Learning: An Empirical Case of Facebook
Authors: Chuang Huan-Ming , Liao Yi-Deng
Published: June 2021

Social network sites (SNSs) provide new avenues for self-expression and connectivity, and they have considerable potential to strengthen social capital and psychological well-being. SNSs have consequently become deeply rooted in people’s daily lives. During the COVID-19 pandemic, e-learning has become a dominant learning modality to maintain social distancing. Because of the excellent connectivity provided by Internet platforms, SNSs can be leveraged as collaborative learning tools to enhance learning performance. However, conflicts may emerge when extending the socializing function to learning; thus, this topic merits in-depth investigation. One potential reason for the conflicts is the various types of overload caused by the system features, information, communication, and social aspects that users experience, leading to negative emotional responses, such as social network fatigue. Although SNS overloads have been extensively studied, most of these studies were conducted from the perspective of SNSs as platforms for socializing, and the overloads were treated as linear and independent. We apply multi-criteria decision-making tools to bridge the research gaps. Specifically, we recruited 15 active Facebook learning community members as an expert panel under the saturation principle. After extensive pairwise comparisons between the primary constructs and further matrix calculations, our significant research findings include antecedents to social network fatigue and their causal effects, representing a valuable complement to conventional structural equation modeling–approaches. We also discuss the theoretical and practical implications of the study.
Structural Relationship of Key Factors for Student Satisfaction and Achievement in Asynchronous Online Learning
Authors: Kim Sohee , Kim Dae-Jin
Published: June 2021

This study examines the structural relationship among key factors influencing student satisfaction and achievement in online learning. A structural model was developed by considering course structure, student–student interaction, instructor presence, student engagement, student satisfaction and achievement as key factors. In order to verify the effectiveness of the developed structural model, we utilized the survey data collected from a total of 250 students enrolled in two asynchronous online courses offered at Kyung Hee University in Korea in the fall semester of 2020. Then, the collected survey data were analyzed using the structural equation model. The verification of the statistical analysis results indicates that the course structure has a more significant effect on the student satisfaction and achievement than the other key factors such as the student–student interaction, instructor presence and student engagement. It also reveals that the student engagement affects only the student satisfaction and has a mediated effect between student–student interaction and student satisfaction.
Effects of Wood Product Utilization on Climate Change Mitigation in South Korea
Authors: Jang Eun-Kyung , Youn Yeo-Chang
Published: June 2021

Many countries, including South Korea, decided to suspend the inclusion of harvested wood products in their Nationally Determined Contributions, as part of the carbon inventory, in 2016. The inclusion of harvested wood products in the national greenhouse gases inventory must ensure the accuracy of carbon accounting and its conformity with the policy direction. The method used for harvested wood product carbon accounting can influence the accuracy of carbon account value, as well as policy direction based on greenhouse gas accounting. This research evaluated the utilization of domestic wood resources in South Korea in terms of carbon storage impacts from the perspective of the cascading use of wood products. The study also compared the two accounting methods (Tier 2 and Tier 3) of carbon storage for the period from 1970 to 2080, assuming the current pattern of wood resource utilization for the next sixty years. The results show that the current utilization of domestic wood resources is inefficient in terms of climate change mitigation. The analysis shows that there is a significant difference between the Tier 2 and Tier 3 methods in carbon storage effects, and the amount of harvested wood products carbon stock calculated by the Tier 2 method was found to be approximately double that of Tier 3. This result implies that there is a possibility of overestimating the carbon storage of harvested wood products when using the Tier 2 method in the case of net timber-importing countries, such as South Korea. The study can provide guidance for designing timber resource management from the perspective of the cascading use of wood products in order to contribute to sustainable development goals, including climate change mitigation.