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Segmented trust assessment in autonomous vehicles via eye-tracking

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Journal of Intelligent and Connected Vehicles

Journal of Intelligent and Connected Vehicles 2024年第2期7卷 151-161页

作者： Miklós Lukovics Szabolcs Prónay Barbara Nagy faculty of Economics and business Administration University of SzegedSzeged H-6726Hungary

Previous studies have identified trust as one of the key factors in the technology acceptance of autonomousvehicles. As these studies mostly investigated the population in general, little is known about segment-specific ***, the widely used survey methods are less able to capture the deeper forms of trust—which neuroscientificmethods are much better suited to capture. The main objective of our research is to study trust as one of the key factors oftechnology acceptance related to autonomous vehicles by using neuroscientific methods for specific consumer ***-time eye-tracking tests were applied to a sample of 113 participants, combined with a posttest self-report. The testswere carried out under laboratory conditions during which our subjects watched videos recorded with the internal camerasof autonomous vehicles. Based on the fixation count, total fixation duration, and pupil dilation, we empirically verified thatthe trust level of all five identified segments is relatively low, while the trust level of the “traditional rejecting” segment is thelowest. An increase in trust level can be shown if the subjects receive extra information about the journey. Anotherimportant finding is that the self-reported trust level is not always congruent with the eye-tracking analysis results;therefore,combined approaches can lead to greater measurement validity.

关键词： autonomous vehicles(AVs) technology acceptance trust eye-tracking

Modifying effects and mechanisms of superfine stainless wires on microstructures and mechanical properties of ultra-high performance seawater sea-sand concrete

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Science China Technological Sciences 2024年第10期67卷 3205-3220页

作者： YU Feng DONG SuFen ASHOUR Ashraf DING SiQi HAN BaoGuo School of Infrastructure Engineering Dalian University of Technology faculty of Engineering & informatics University of Bradford Department of Civil and Environmental Engineering The Hong Kong Polytechnic University

Ultra-high-performance seawater sea-sand concrete（UHPSSC） presents a prospective solution to address the natural resource shortage in marine infrastructure construction. To eliminate the corrosion risk of steel fibers and broaden the applicability of UHPSSC, this study investigates the mechanical properties and free chloride ion content as well as microstructures of UHPSSC reinforced with superfine stainless wires（SSWs） under natural curing. The results indicate that 1.5% SSWs can remarkably improve the flexural strength and toughness of UHPSSC by 127% and 1724%, respectively, and mitigate the long-term strength degradation of UHPSSC. The strong interfacial bond between SSW and UHPSSC improves the compactness of UHPSSC, thus reducing the growth space for Ca（OH）2crystals and swelling hydration products generated by sulfate and magnesium ions. This can be supported by the observed reduction in the Ca/Si ratio of C–S–H gels, CH crystal orientation index, and ***, through mechanisms such as pull-out, rupture, overlapping network, and internal anchor interface, SSWs effectively prevent microcrack growth and propagation, transforming single long-connected microcracks into multiple-emission microcracks centered on SSW. Additionally, the free chloride ion content of the composites at 28 and 180 d meets the ACI 318-19 standard requirements for concrete exposed to seawater. This compliance is attributed to the chloride immobilization facilitated by Friedel's salt and C–S–H gels within the interfaces around SSWs and sea-sand. Consequently, SSWs-reinforced UHPSSC exhibits considerable potential for applications in sustainable marine infrastructures, demanding long-term mechanical properties and high durability.

关键词： ultra-high performance seawater sea-sand concrete superfine stainless wire mechanical properties chloride ion content microstructure

Exploring the impact of economic growth and energy consumption on SO2 emissions in China based on the Environmental Kuznets Curve hypothesis

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Petroleum Science 2024年第4期21卷 2892-2900页

作者： Bing-Jie Xu Yi-Fei Shen Hui Qiao Zhi Gao faculty of business City University of Macau Rural Development Institute Chinese Academy of Social Sciences School of Marxism Shenzhen Polytechnic University

This study aims to analysis the influence of economic growth(EG) and energy consumption(EC) on sulfur dioxide emissions(SE) in China. Accordingly, this study explores the link between EG, EC, and SE for 30 provinces in China over the span of 2000-2019. This study also analyzes cross-sectional dependence tests, panel unit root tests, Westerlund panel cointegration tests, Dumitrescu-Hurlin(D-H) causality tests. According to the test results, there is an inverted U-shaped association between EG and SE,and the assumption of the Environmental Kuznets Curve(EKC) is verified. The signs of EG and EC in the fixed effect(FE) and random effect(RE) methods are in line with those in the dynamic ordinary least squares(DOLS), fully modified ordinary least squares(FMOLS) and autoregressive distributed lag(ARDL)estimators. Moreover, the results verified that EC can obviously positive impact the SE. To reduce SE in China, government and policymakers can improve air quality by developing cleaner energy sources and improving energy efficiency. This requires the comprehensive use of policies, regulations, economic incentives, and public participation to promote sustainable development.

关键词： SO2 emissions Economic growth Energy consumption EKC China

Big data challenge for monitoring quality in higher education institutions using business intelligence dashboards

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Journal of Electronic Science and Technology 2024年第1期22卷 25-41页

作者： Ali Sorour Anthony S.Atkins faculty of Digital TechnologyInnovationand BusinessStaffordshire UniversityStoke-on-TrentST42DEUnited Kingdom

As big data becomes an apparent challenge to handle when building a business intelligence(BI)system,there is a motivation to handle this challenging issue in higher education institutions(HEIs).Monitoring quality in HEIs encompasses handling huge amounts of data coming from different *** paper reviews big data and analyses the cases from the literature regarding quality assurance(QA)in *** also outlines a framework that can address the big data challenge in HEIs to handle QA monitoring using BI dashboards and a prototype dashboard is presented in this *** dashboard was developed using a utilisation tool to monitor QA in HEIs to provide visual representations of big *** prototype dashboard enables stakeholders to monitor compliance with QA standards while addressing the big data challenge associated with the substantial volume of data managed by HEIs’QA *** paper also outlines how the developed system integrates big data from social media into the monitoring dashboard.

关键词： Big data business intelligence(BI) Dashboards Higher education(HE) Quality assurance(QA) Social media

Evaluation of a software positioning tool to support SMEs in adoption of big data analytics

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Journal of Electronic Science and Technology 2024年第1期22卷 13-24页

作者： Matthew Willetts Anthony S.Atkins faculty of Digital TechnologyInnovationand BusinessStaffordshire UniversityStoke-on-TrentST42DEUnited Kingdom

Big data analytics has been widely adopted by large companies to achieve measurable benefits including increased profitability,customer demand forecasting,cheaper development of products,and improved stock *** and medium sized enterprises(SMEs)are the backbone of the global economy,comprising of 90%of businesses ***,only 10%SMEs have adopted big data analytics despite the competitive advantage they could *** research has analysed the barriers to adoption and a strategic framework has been developed to help SMEs adopt big data *** framework was converted into a scoring tool which has been applied to multiple case studies of SMEs in the *** paper documents the process of evaluating the framework based on the structured feedback from a focus group composed of experienced *** results of the evaluation are presented with a discussion on the results,and the paper concludes with recommendations to improve the scoring tool based on the proposed *** research demonstrates that this positioning tool is beneficial for SMEs to achieve competitive advantages by increasing the application of business intelligence and big data analytics.

关键词： Big data analytics Evaluation Small and medium sized enterprises (SMEs) Strategic framework

Rao Algorithms-Based Structure Optimization for Heterogeneous Wireless Sensor Networks

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Computers, Materials & Continua 2024年第1期78卷 873-897页

作者： Shereen K.Refaay Samia A.Ali Moumen T.El-Melegy Louai A.Maghrabi Hamdy H.El-Sayed faculty of Computers and Artificial Intelligence Sohag UniversitySohag82524Egypt faculty of Engineering Assiut UniversityAssiut711745Egypt College of Engineering University of Business and TechnologyJeddah23411Saudi Arabia

The structural optimization of wireless sensor networks is a critical issue because it impacts energy consumption and hence the network’s *** studies have been conducted for homogeneous networks,but few have been performed for heterogeneouswireless sensor *** paper utilizes Rao algorithms to optimize the structure of heterogeneous wireless sensor networks according to node locations and their initial *** proposed algorithms lack algorithm-specific parameters and metaphorical *** proposed algorithms examine the search space based on the relations of the population with the best,worst,and randomly assigned *** proposed algorithms can be evaluated using any routing protocol,however,we have chosen the well-known routing protocols in the literature:Low Energy Adaptive Clustering Hierarchy(LEACH),Power-Efficient Gathering in Sensor Information Systems(PEAGSIS),Partitioned-based Energy-efficient LEACH(PE-LEACH),and the Power-Efficient Gathering in Sensor Information Systems Neural Network(PEAGSIS-NN)recent routing *** compare our optimized method with the Jaya,the Particle Swarm Optimization-based Energy Efficient Clustering(PSO-EEC)protocol,and the hybrid Harmony Search Algorithm and PSO(HSA-PSO)*** efficiencies of our proposed algorithms are evaluated by conducting experiments in terms of the network lifetime(first dead node,half dead nodes,and last dead node),energy consumption,packets to cluster head,and packets to the base *** experimental results were compared with those obtained using the Jaya optimization *** proposed algorithms exhibited the best *** proposed approach successfully prolongs the network lifetime by 71% for the PEAGSIS protocol,51% for the LEACH protocol,10% for the PE-LEACH protocol,and 73% for the PEGSIS-NN protocol;Moreover,it enhances other criteria such as energy conservation,fitness convergence,packets to cluster head,and packets to the base sta

关键词： Wireless sensor networks Rao algorithms optimization LEACH PEAGSIS

Why can some countries perform better in resolving some social problems:A comparative study

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Economic and Political Studies 2024年第3期12卷 250-266页

作者： Wilson X.B.Li Tina T.He faculty of business and Management BNU-HKBU United International CollegeZhuhaiChina

This study explores the rationale why some countries fare better in resolving social problems such as poverty and the COVID-19 *** simple model introduces the term of resident viability and points out that the solution to a social problem with a large ratio of nonviable to viable residents requires the mobilisation of more societal resources,and the affordable price ratio of societal to individual resources is determined by country characteristics such as the cultural background,political regime,ideology towards the free-market mechanism,government efficiency and social *** study also makes between-country comparisons and conducts preliminary regression analyses with cross-country data,and all the results are consistent with the model predictions on the relationship between country characteristics and country performances in fighting poverty and handling the COVID-19 pandemic.

关键词： Social problems COVID-19 poverty eradication viability between-country comparison

A social media adoption strategy for cultural dissemination in municipalities with tourist potential:Lamas,Peru,as a case study

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Built Heritage 2024年第2期8卷 67-78页

作者： Pierre Vidaurre-Rojas Seidy Janice Vela-Reátegui Lloy Pinedo Miguel Valles-Coral Jorge Raul Navarro-Cabreraand Very Rengifo-Hidalgo Teresa del Pilar López-Sánchez JoséSeijas-Díaz Ángel Cárdenas-García Rosa Elena Cueto-Orbe ATEC Management Research Group Faculty of Economic SciencesUniversidad Nacional de San MartínJr.Maynas N°177TarapotoPerú faculty of Systems and informatics Engineering Universidad Nacional de San MartínJr.Maynas N°177TarapotoPerú Tourism Development and International business Research Group Faculty of EconomicAdministrative and Accounting SciencesUniversidad Nacional Autónoma de Alto AmazonasProlongación Libertad 1220-1228YurimaguasPerú Tourism Development and International business Research Group Faculty of International Business and TourismUniversidad Nacional Autonoma de Alto AmazonasProlongación Libertad 1220-1228YurimaguasPerú

Social media is commonly used by governments to disseminate information related to transparency and institutional promotion,but its potential for the dissemination of cultural resources is often *** research proposes a strategy for adopting social media to achieve cultural dissemination in the municipality of Lamas,Peru,which has tourism potential and has been awarded the“Best Tourism Villages”seal of the World Tourism ***,we propose a case study at a propositional exploratory *** start by determining the current state of dissemination of tangible and intangible resources,as well as the practical use of social media,through a survey of 20 *** results reveal that crafts are the most widely disseminated tangible resource in the municipality(according to 55%of officials),and intangible resources are occasionally disseminated(50%).We also find that Facebook is the only digital channel used to disseminate cultural *** this context,we formulate a strategy for adopting social media to improve cultural dissemination,which consists of six phases:(i)forming a work team,(ii)preparing a budget plan,(iii)strengthening capacities,(iv)taking inventory of cultural resources,(v)coordinating community interests and(vi)preparing a cultural dissemination *** findings can contribute to formulating public initiatives for the institutionalisation of social media in governments for the purposes of preserving,promoting and guaranteeing the accessibility of cultural heritage.

关键词： Cultural heritage Cultural preservation Cultural promotion Digital attraction Digital communication Government Social networks Tourism development Visitors

A Systematic Literature Review of Machine Learning and Deep Learning Approaches for Spectral Image Classification in Agricultural Applications Using Aerial Photography

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Computers, Materials & Continua 2024年第3期78卷 2967-3000页

作者： Usman Khan Muhammad Khalid Khan Muhammad Ayub Latif Muhammad Naveed Muhammad Mansoor Alam Salman A.Khan Mazliham Mohd Su’ud College of Computing and Information Sciences Karachi Institute of Economics and TechnologyKarachi75190Pakistan faculty of Computing and informatics(FCI) Multimedia UniversityCyberjaya63100Malaysia faculty of Computing Riphah International UniversityIslamabad46000Pakistan faculty of Engineering and Information Technology School of Computer ScienceUniversity of Technology SydneySydneyAustralia

Recently,there has been a notable surge of interest in scientific research regarding spectral *** potential of these images to revolutionize the digital photography industry,like aerial photography through Unmanned Aerial Vehicles(UAVs),has captured considerable *** encouraging aspect is their combination with machine learning and deep learning algorithms,which have demonstrated remarkable outcomes in image *** a result of this powerful amalgamation,the adoption of spectral images has experienced exponential growth across various domains,with agriculture being one of the prominent *** paper presents an extensive survey encompassing multispectral and hyperspectral images,focusing on their applications for classification challenges in diverse agricultural areas,including plants,grains,fruits,and *** meticulously examining primary studies,we delve into the specific agricultural domains where multispectral and hyperspectral images have found practical ***,our attention is directed towards utilizing machine learning techniques for effectively classifying hyperspectral images within the agricultural *** findings of our investigation reveal that deep learning and support vector machines have emerged as widely employed methods for hyperspectral image classification in ***,we also shed light on the various issues and limitations of working with spectral *** comprehensive analysis aims to provide valuable insights into the current state of spectral imaging in agriculture and its potential for future advancements.

关键词： Machine learning deep learning unmanned aerial vehicles multi-spectral images image recognition object detection hyperspectral images aerial photography