Search Results (182)

The advent of smart farms, enabled by information and communication technologies (ICT) and the Internet of Things (IoT), has improved productivity and sustainable agriculture. However, the large-scale implementation of smart farms is currently hampered by physical constraints. These constraints have led to the concept of open-field smart farming as a viable alternative. In this paradigm, data from unmanned aerial vehicles (UAVs) play a central role in effective and sustainable agricultural management. The quantitative analysis of such data requires highly reliable technological solutions. The objective of this study is to conduct a comparative analysis of image binarization algorithms for UAV-based soybean canopy extraction across growth stages and to contribute to the development of an image labeling methodology. UAVs were used to capture images of soybean fields at different growth stages, and a comparative analysis was performed using binarization image algorithms. The performance of each algorithm was evaluated using Normalized Cross Correlation (NCC) and Mean Absolute Error (MAE). The results indicate that the Excess Green (ExG) and Excess Green minus Excess Red (ExGR) vegetation indices provide accurate and stable soybean canopy extraction across growth stages when combined with Adaptive and Otsu binarization algorithms. These indices are particularly suitable for extracting soybean canopy from UAV-based data, thereby expanding the scope of precision analysis in the agricultural sector and providing data for advancing precision agriculture technology. This study contributes to the standardization and efficient use of UAV-based agricultural data processing. However, since manual weeding was performed prior to image acquisition to ensure that only soybean plants were present, reflecting standard agricultural practices in South Korea, additional validation would be required for application in fields where weeds are naturally present. Full article

Digital transformation in public institutions is increasingly understood as a socio-technical and organizational process rather than a purely technological upgrade. This study presents the design of an ICT-based digital transformation roadmap aimed at improving administrative efficiency and citizen service delivery in a municipal public utility in Ecuador. A mixed-methods diagnostic approach was adopted, combining qualitative evidence from direct observation and a semi-structured interview with the head of the IT department, and quantitative data from a structured online survey administered to citizens. Baseline Key Performance Indicators (KPIs) were established using institutional records, service logs, and workflow analysis conducted over a three-month diagnostic window. Post-implementation KPI values are explicitly treated as ex ante projections, derived from process redesign analysis, benchmarking with comparable public utilities, and scenario-based assumptions, rather than empirically observed outcomes. The empirical results demonstrate high citizen readiness and acceptance of proposed digital services, including remote service portals, electronic invoicing, and automated support channels. The projected operational improvements—such as reductions in response and administrative processing times and increased digital transaction rates—are therefore presented as expected performance scenarios. A risk and alternative scenario analysis further examines how organizational constraints, resource availability, governance capacity, and change-management factors may moderate these outcomes. The study contributes a transparent and replicable framework for diagnosing digital readiness and planning ICT-driven transformation initiatives in resource-constrained public utilities, while emphasizing the need for future longitudinal validation using post-implementation data. Full article

This study examined whether the systems thinking approach integrating information and communication technology (ICT) and digital tools (hereafter referred to as the STICT approach) improves technological and engineering literacy (TEL) and related outcomes for pre-service preschool teachers. Although there is an expectation for preschool teachers to develop TEL, evidence-based models that systematically combine systems thinking with digital tools and ICT support remain scarce. Using a quasi-experimental design (n = 44; one-semester experiment), the experimental group explicitly integrated systems thinking and digital tools, while the comparison control group followed the traditional approach to teaching design, technology, and engineering (DTE) content; both groups focused on making products for preschoolers. The outcomes included multidimensional literacy, attitudes towards DTE, self-reported systems thinking, aspects of engagement, and focus group reflection. The analyses (ANCOVA/MANCOVA, regression/PLS, multi-group tests, thematic analysis) revealed notable results, including a higher post-test literacy for the experimental group and a lower perceived difficulty with technology. Both groups improved in the self-assessment of systems thinking, with no differences between them. The qualitative findings supported the educational value of the approach. In this pilot classroom experiment (n = 44), findings are consistent with an advantage of the STICT approach on the TEL composite and with lower perceived difficulty of technology, whereas self-assessed systems thinking improved similarly in both groups. Given the small sample and multiple outcomes, estimates carry considerable uncertainty and should be read as preliminary. We theorise that TEL gains arise primarily from systems thinking processes applied during design/evaluation, with ICT functioning as a cognitive-and-motivational scaffold that makes relations/feedback explicit and reduces perceived difficulty; self-assessed systems thinking improved in both groups. Full article

Product development in academia and its technology transfer are crucial activities for the sustainable development of society. Nevertheless, transferring academic research is a complex process that requires mature research results aligned with market needs. Existing approaches frequently focus on process management and the relationships between system participants, disregarding the importance of maturity assessment in the product development cycle. This paper proposes an approach, comprising a Framework and a Method, to guide the progressive maturation of ICT products from universities and to facilitate their transfer to productive and social sectors. The Framework maps the innovation trajectory from research to commercialization by phases, tasks, activities, and stakeholders. The Method articulates agile cycles inspired by Scrum, with a continuous TRL-based maturity assessment and sustained market engagement to align academic product development with market demands. Innovation experts evaluated the approach using content validity indices and qualitative content analysis. The results showed a high level of agreement on the relevance and usefulness of the Framework and the Method, and qualitative feedback informed improvements in presentation and clarity. In summary, the proposed approach provides a practical roadmap for aligning university research with market needs and enhancing the conversion of prototypes into transferable and marketable solutions. Full article

We live in a globalised, knowledge-hungry society in which the immediacy of information is increasingly a necessity that has become a reality even in the most remote places. This article aims to reflect on the importance of Information and Communication Technologies (ICT) in education, emphasising the need for skills and literacies in a globalised society. The school must provide tools that enable the acquisition of these competences, but the lack of continuous teacher training and adequate resources limits the effective use of these technologies in the classroom. The main research question concerns teachers’ perceptions of ICT, the most widely adopted technologies, and their impact on their daily lives. To answer the research question, we defined the main objectives as understanding teachers’ perceptions of ICT and identifying the technologies most used in teaching, highlighting how they can transform the learning process and improve the results of students, especially those with the most difficulties. The aim of this work is to find out how teachers perceive the use of ICT and, at the same time, to demonstrate that its use in the classroom enhances the teaching–learning process, making it more relevant, effective, and in line with the demands of the contemporary world. Full article

Objectives: An aging population and declining birth rates are among the challenges that smart cities currently face and will continue to face in the near future. In light of the above, this article seeks to answer the following question: Are older people (seniors) taken into account and described in the literature on smart cities, and if so, how? Methods: To answer this research question, a systematic literature review was conducted using the Bibliometrix package in R. In the process of systematizing the publications, the authors additionally used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) method and qualitative text analysis. Findings: The research shows that relatively little attention is paid to seniors in smart cities in the literature on the subject. Among the few publications on smart aging, the technological trend dominates, in which researchers present the possibilities of using IT and ICT to improve medical and social care for seniors, and to improve their quality of life (Smart Living, Smart Mobility). In the non-technological trend, most analyses focus on the determinants of quality of life and the distinguishing features of senior-friendly cities. Implications: There is a clear lack of a “human” perspective on aging in smart cities and publications on Smart Governance and Smart People that would provide guidelines for making elderly people full and equal stakeholders in smart cities. It is also necessary to develop practical documents and procedures that define a comprehensive and long-term urban policy for elderly adults. The analyses contribute to diagnosing current and determining further directions of research on smart aging in smart cities. The results clearly imply the need to intensify social, humanistic, and governance research on the role of seniors in smart cities. Full article

The implementation of new curricula presents significant challenges for teachers and necessitates the adaptation of their professional competencies. This study examines how the digital skills of Swiss teachers differ during and after the implementation of the Media and Information Literacy (MIL) modular curriculum. To achieve this, two independent samples totaling 617 teachers were surveyed at different stages of the reform. The analysis employed a multivariate analysis of variance (MANOVA) to identify differences in the four facets of MIL competence between the samples. The results indicate that MIL competencies did not improve uniformly. While no significant differences were found in the facets of ‘ICT knowledge and application’ and ‘media education knowledge and application’, significant differences were observed in the facets of ‘specialized didactics MIL’ and ‘interdisciplinary pedagogical and didactic knowledge’. The latter facet showed higher values after the reform, likely due to increased exposure to further training measures. These findings illustrate that teachers’ competencies can develop differently throughout a reform process, highlighting the importance of targeted professional development programs. The study provides valuable empirical findings for educational research and offers practical implications for the design of future reform processes. Full article

Background: Traditionally, auditory rehabilitation in people with hearing loss has sought training in auditory skills to achieve an understanding of sound messages for communication. Assistive or supportive technology is limited to hearing aids that transmit sound through the air or bone to be used by the individual, and only in recent times have technologies for rehabilitation, of high cost and difficult access, begun to be used, employed by audiology professionals. Objective: The objective of this study was to compile the evidence reported in the literature on the use of technology in auditory rehabilitation for the improvement of hearing skills in people with hearing loss, beyond hearing aids and cochlear implants. Method: A systematic review of the literature was conducted between 2018 and 2024 in PubMed, Scopus, and Web of Science databases, using as search terms Technology AND “Auditory Rehabilitation” validated in DeCS and MeSH thesauri; the PICO method was used to propose the research question, and the PRISMA strategy was used for the inclusion or exclusion of the articles to be reviewed. Results: In the first search, 141 documents were obtained. Subsequently, inclusion criteria, such as development with vibrotactile stimulation, Information and Communication Technologies (ICTs), among others, and exclusion criteria, such as those related to cochlear implants and air conduction hearing aids, were applied, and finally, articles related to natural language processing, and other systematic reviews were excluded so that the database was reduced to 14 documents. To this set, due to their relevance, two papers were added, for a total of sixteen analyzed. Conclusions: There are solutions ranging from the use of smartphones for telehealth to solutions with multiple technologies, such as the development of virtual environments with vibrotactile feedback. Hearing-impaired people and even professionals in this area of healthcare have a high level of acceptance of the use of technology in rehabilitation. Finally, this article highlights the crucial role of technology in auditory rehabilitation, with solutions that improve hearing skills and the positive acceptance of these tools by patients and audiology professionals. Full article

Traditional single neural network-based geo-localization methods for cross-view imagery primarily rely on polar coordinate transformations while suffering from limited global correlation modeling capabilities. To address these fundamental challenges of weak feature correlation and poor scene adaptation, we present a novel framework termed ICT-Net (Integrated CNN-Transformer Network) that synergistically combines convolutional neural networks with Transformer architectures. Our approach harnesses the complementary strengths of CNNs in capturing local geometric details and Transformers in establishing long-range dependencies, enabling comprehensive joint perception of both local and global visual patterns. Furthermore, capitalizing on the Transformer’s flexible input processing mechanism, we develop an attention-guided non-uniform cropping strategy that dynamically eliminates redundant image patches with minimal impact on localization accuracy, thereby achieving enhanced computational efficiency. To facilitate practical deployment, we propose a deep embedding clustering algorithm optimized for rapid parsing of geo-localization information. Extensive experiments demonstrate that ICT-Net establishes new state-of-the-art localization accuracy on the CVUSA benchmark, achieving a top-1 recall rate improvement of 8.6% over previous methods. Additional validation on a challenging real-world dataset collected at Beihang University (BUAA) further confirms the framework’s effectiveness and practical applicability in complex urban environments, particularly showing 23% higher robustness to vegetation variations. Full article

As Information and Communication Technologies (ICTs) are increasingly incorporated into energy systems, smart grids are becoming essential parts of modern energy infrastructures. However, this integration exposes them to significant cybersecurity risks, highlighting the need for effective prevention and mitigation strategies to enhance resilience. Due to their promising implications, blockchain and artificial intelligence (AI) have emerged as key technologies to strengthen security, improve data analysis, and optimize processes in smart grids. This bibliometric study investigates key trends, opportunities, and evolving dynamics within the field, analyzing a dataset of 9611 articles from the Scopus database, covering the period 2014–2024. To evaluate the research, we utilized a range of bibliometric tools, including Bibliometrix R, VOSviewer, and Python. We used these tools to identify impactful articles. We also analyzed country and institutional productivity, assessed prolific authors, and uncovered emerging trends. The findings highlight a shift towards advanced smart grids incorporating AI and blockchain, with significant progress in Morocco’s research since 2016. Morocco ranks 36th globally and 3rd in Africa, contributing to the National Digital Morocco 2030 Strategy, which promotes digital transition and innovation, particularly in smart grids, to bolster the country’s energy system. Full article

Background/Objectives: Involving patients in the preoperative anaesthetic assessment (PAA) process can improve their understanding of risks and contribute to better postoperative recovery and outcomes. The iPREDICT study aims to investigate the feasibility of using an interactive consultation tool (ICT) to improve patient awareness of anaesthesia-related risks. Methods: This prospective, single-centre, randomised, placebo-controlled clinical study included patients scheduled for elective surgery under general or combined general and regional anaesthesia. Participants were randomly assigned to online anaesthesia risk education in the ICT group (intervention) or a control group that watched a video without anaesthetic risk content. Both groups received a face-to-face PAA and were assessed about anaesthetic risk knowledge after PAA and two days later. Results: A total of 373 participants were randomised, and 315 completed the assigned online module prior to their PAA. The proportion of male participants was higher (>60%). Most participants already had prior anaesthesia experience. After PAA, 243 patients completed the first risk recall #1 questionnaire, with the ICT group identifying significantly more correct risks than the control group (median 13.0 vs. 11.0, p < 0.05). In risk recall #2, conducted two days after the PAA, knowledge retention remained stable in the control group, while the experimental group showed further improvement (median 14.0 vs. 13.0, p < 0.05). Conclusions: Using the ICT significantly improved patients’ knowledge of anaesthesia-related risks. These results suggest that interactive patient education tools are a feasible and effective way to improve patients’ understanding of perioperative anaesthesia risks, potentially contributing to better outcomes, which needs to be addressed in future projects. Full article

With the depletion of high-grade iron ore resources, the efficient utilization of low-grade iron ore has become a critical demand in the steel industry. Due to its uniform particle size and chemical composition, pelletized iron ore significantly enhances both the utilization rate of iron ore and the efficiency of metallurgical processes. This paper presents a deep learning model based on ResUNet, which integrates three-dimensional CT images obtained through industrial computed tomography (ICT) to precisely segment hematite, liquid phase, and porosity. By incorporating residual connections and batch normalization, the model enhances both robustness and segmentation accuracy, achieving F1 scores of 98.37%, 95.10%, and 83.87% for the hematite, pores, and liquid phase, respectively, on the test set. Through 3D reconstruction and quantitative analysis, the volume fractions and fractal dimensions of each component were computed, revealing the impact of the spatial distribution of different components on the physical properties of the pellets. Systematic evaluation of model robustness demonstrated varying sensitivity to different CT artifacts, with the strongest resistance to beam hardening and highest sensitivity to Gaussian noise. Multi-scale resolution analysis revealed that segmentation quality and fractal dimension estimates exhibit phase-dependent responses to resolution changes, with the liquid phase being the most sensitive. Despite these dependencies, the relative complexity relationships among phases remained consistent across resolutions, supporting the reliability of our qualitative conclusions. The study demonstrates that the deep learning-based image segmentation method effectively captures microstructural details, reduces human error, and enhances automation, providing a scientific foundation for optimizing pellet quality and improving metallurgical performance. It holds considerable potential for industrial applications. Full article

The use of iteration is fundamental in the field of design, as it allows for the exploration of multiple options and the development of innovative solutions. This research analyzes how iteration, combined with Information and Communications Technology (ICT), especially 3D printing, facilitates the development of creativity in higher-level students, specifically Industrial Designers. A qualitative approach was employed, using an action-research methodological strategy with a field journal to document student activities during the iterative process. The results indicate that group dynamics enhance iteration by facilitating the exchange of ideas; therefore, the incorporation of activities that adopt constant feedback is necessary to refine initial concepts and integrate new perspectives. Additionally, the use of technology, such as 3D printing, drives the creative process by encouraging students to continue developing their ideas through physical iteration, allowing them to materialize and improve their concepts. The creative process only needs to be stimulated through different methodological strategies, both analog and digital, in and outside the classroom, with the use of technologies as essential learning tools. Full article

Background/Objectives: Surveillance of antimicrobial resistance (AMR) and antimicrobial use (AMU) is needed to understand risks and implement policies. Collecting AMU data in the context of disease prevalence and therapeutic outcomes has been suggested for improving AMU. We describe the process of developing an information and communication technology (ICT) system to monitor AMU, diseases and treatment outcomes in poultry in East Africa. Methods: A prototype system to register drug sales in veterinary pharmacies, a mobile application for farmers to report their AMU, and a database for monitoring was developed. Contact information for participating veterinarians was included as well as information about poultry diseases, husbandry, AMR and prudent use of antibiotics. The system was pilot-tested for a 6-month period in Kenya. Results: A total of 15,725 records were submitted by the 14 participating pharmacies and 91 records were entered by the 15 participating farmers. Overall, the participants were positive about the system and were able to use it. The information available was appreciated by the farmers. The pharmacy representatives appreciated getting an overview of their sales and stated that it had given them new insights. Conclusions: Despite some challenges, the concept of the developed ICT system could be useful for future monitoring of animal health and the use of pharmaceuticals in animals, and connecting farmers with veterinarians to improve animal health management. Our results underline the importance of close collaboration with stakeholders so that developed tools can be transferred to national ownership after the finalization of externally funded projects. Full article

This study addresses the scientific issue of the insufficient systematization of knowledge about the barriers to electronic tendering (E-Tendering) in the construction industry. This study is critical because it can potentially promote more effective, transparent, and environmentally friendly procurement practices, which can help with sustainable development. The key scientific goals of this study are to identify and categorize the barriers to E-Tendering adoption across six (6) geographical regions and to make recommendations to overcome the identified barriers. This research used a systematic literature review technique to identify these barriers from relevant scientific databases. This study identified and categorized the main obstacles to E-Tendering and grouped the barriers according to six geographical regions. Eight (8) significant barriers were common across six geographical locations. They are (1) Inadequate technical/ICT skilled personnel, (2) Inadequate data security, (3) Inadequate policy or uniform standard and Inadequate legal framework, (4) resistance to change, (5) Inadequate ICT and internet infrastructure, (6) High investment cost of implementation, (7) Lack of support, and (8) Technical challenges. Furthermore, this study identified 10 significant barriers to E-Tendering implementation in the construction industry. This study contributes to improving knowledge of these barriers. It contributes to creating policies that promote the long-term reform of procurement processes in the construction sector. This study also supports sustainable development goals by promoting more efficient, transparent, and environmentally friendly procurement processes. Full article