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Adaptation Potential Evaluation of Ornamental Motifs in Huizhou Heritage Buildings under Contemporary Context: An AHP-Fuzzy Comprehensive Evaluation Model Approach
Full text linkThe ornamental motifs in the structural elements of traditional Huizhou dwellings, listed as a World Heritage Site, embody the convergence of Confucian philosophy and geomantic principles. They integrated into wooden, stone, and brick carvings, reflect the local populace’s aspirations for prosperity, longevity, and familial harmony, possessing important inheritance significance. This study aims to establish a model to evaluate the adaptation potential of ornamental motifs under contemporary context in traditional Huizhou dwellings by investigating their development history, categories, and cultural meanings. This model quantifies the factors influencing the adaptation potential of these ornamental motifs, calculates the weight of each factor. The analysis results indicate that, among all the factors, the most important primary indicator is cultural connotation (0,3118). The secondary indicators are visual appeal (0.2300), compatibility with modern aesthetic needs (0.0988) and noble, elegant (0.0836). Additionally, the overall grade of adaptation potential was determined by scoring and ranking motif samples based on the fuzzy comprehensive evaluation method. This approach enhances the objectivity, scientific rigor, and accuracy of the selection of ornamental motifs, which not only provides theoretical support and practical guidance for the sustainable development of Huizhou cultural symbols, but also serves methodological reference for related fields in other countries and regions
AI-PBL Framework: Innovative Problem Based Learning Model Supported by Artificial Intelligence Technology
Full text linkIntroduction: This study aims to develop a Problem-Based Learning (PBL) framework integrated with Artificial Intelligence (AI) technology to enhance the critical thinking skills of students in the Mechanical Engineering Study Program at Padang State University (UNP).Methods: A developmental research methodology based on the ADDIE framework was implemented in this study. The subjects involved were students enrolled in the Mechanical Engineering Department at UNP.Results: Validation results from seven experts indicated that the developed product falls into the valid category. In addition, the practicality test involving two lecturers and ten students yielded a score of 80.99%, placing it in the "highly practical" category. Regarding effectiveness, the t-test produced a value of 0.000, which is less than 0.05, indicating a statistically significant difference between the experimental and control groups.Conclusion: Based on the findings from the validation, practicality, and effectiveness assessments, the AI-supported PBL model is considered valid, highly practical, and effective in enhancing the critical thinking abilities of Mechanical Engineering students at UNP
A Supervisory Approach to Building Ethical Digital Forensic Frameworks through Participatory Action Research
Full text linkIntroduction: the integrity of digital forensic case handling plays a crucial role in safeguarding the public interest. Breaches in ethical compliance within the forensic process can undermine the credibility of investigations and erode public trust in their outcomes.
Methods: the Participatory Action Research (PAR) approach. The research engaged stakeholders from both academic and professional sectors. Data collection was conducted through comprehensive literature reviews and structured stakeholder discussions to ensure the resulting framework reflects both theoretical and practical considerations.
Results: the study introduced the Supervisory Framework to Respect Ethics or we call it SUFREE, a model specifically designed to address ethical oversight in the digital forensic process, specific to conditions in Indonesia. The framework was developed through iterative consultation and validation involving relevant experts, aiming to ensure methodological robustness and applicability within the Indonesian setting.
Conclusion: the SUFREE framework offers a structured, ethics-focused supervisory model expected to enhance the quality, integrity, and professionalism of digital forensic practices in Indonesia, thereby contributing to improved public trust in forensic investigations
Validation of learning styles in Higher Education: A case study at the Faculty of Applied Sciences (FICA)
Full text linkThe identification of learning styles and the adaptation of pedagogical strategies constitutes a determining factor in university academic success, especially in technical programs where dropout rates can reach up to 40% during the first years. This study presents the development, implementation, and validation of an innovative web application designed to analyze learning styles in university students. The platform integrates the theoretical models of Kolb, Herrmann, and Sperry, developed with React and Flask technologies under a service-oriented architecture that ensures scalability and ease of maintenance. Validation was carried out using the DeLone & McLean model, applying a structured questionnaire to a stratified sample of 89 students from the Faculty of Engineering in Applied Sciences. The results demonstrated high system acceptance, with favorability levels exceeding 80% across all dimensions. The statistical analysis, with a Cronbach’s alpha of 0.867, confirmed the reliability of the instrument and the robustness of the results. Likewise, the implementation of the platform enabled the early identification of learning patterns and facilitated the personalization of educational strategies, improving the student experience through an accessible and user-friendly interface. The total effect of 0.6 reflected a significant global impact on academic performance, by strengthening the process of adaptation to learning styles. The findings showed a predominance of the accommodator style according to Kolb, a realistic thinking preference in the Herrmann test, and greater left-hemisphere activity according to Sperry, highlighting the importance of designing adaptive pedagogical strategies
Effects of altitude on On-Board Fuel Consumption and CO₂ Emissions of a Vehicle: An analysis based on experimental data
Full text linkFuel efficiency and CO₂ emissions of vehicles are influenced by various factors, including altitude, whose effect is often ignored or underestimated. This study evaluates the effect of altitude on fuel consumption and CO₂ emissions in a light vehicle through an experimental campaign in four cities in Ecuador located between sea level and 3,000 meters above sea level. Fuel consumption and engine operation data were obtained through the OBD system. This information was used to generate engine maps and analyse vehicle performance at different altitude levels.The results showed that in cities at higher altitudes, the vehicle operated with engine loads above 70% due to slopes greater than 7%, while in coastal cities the loads were lower. Under similar engine load conditions, both fuel consumption and CO₂ rates were lower in high-altitude cities, showing a positive effect of altitude on combustion. However, energy-based emission factors were higher in high-altitude cities, probably due to lower air density. In terms of distance, fuel consumption and CO₂ emission factors were up to 7% higher in high-altitude cities. Overall, this study proposes a low-cost methodology and shows the importance of considering the effect of altitude when designing sustainable transport strategies for Latin American cities
Quantum Optimization for Intelligent User Data Allocation in Distributed Cloud Infrastructure
Full text linkIn a modern environment in which cloud computing is distributed globally, optimizing the placements of user data in the different cloud locations would ensure that the data can be accessed with minimum latency and fast access. Traditional heuristic and machine-learning methods are often prohibitively expensive to scale and have a hard time adjusting to a dynamic cloud environment. Scalable and adaptive optimization strategies are required when user demands and data volumes grow very fast. There is a fair likelihood that quantum-based methods, particularly, the metaheuristic methods, are an alternative that can effectively react to dynamic conditions. The proposed model will be based on Quantum Particle Swarm Optimization when moving user data to the most suitable places within distributed cloud canters. Through quantum-inspired probabilistic search, the algorithm becomes more adaptive and more efficient than traditional ones. Experiments, based on these simulations of the user request in the case of a geo-distributed cloud, have shown a significant reduction in latency up to 28% and better load balancing compared to the traditional approaches. Altogether, these results highlight the prospects of quantum computing when it comes to improving the efficiency and responsiveness of cloud infrastructure. The primary strength of the QPSO is that it can be easily modified to facilitate the rapid response to the rapidly changing environment to allow access to the distributed cloud systems in an efficient way and with a low latency
Streaming Standards and Codecs to improve TV service in mobile environments
Full text linkIntroduction: Streaming technology has become a means of communication with a high rate of application for audio and video transmission such as television services through cell phones. Public and private companies, organizations or individuals of any kind apply streaming, however, the use of standards is limited so the quality of the transmission is affected. Objective: To apply streaming standards and codecs to support audio and video transmission in a mobile environment. Method: The XP methodology was applied as a framework for the development of a mobile streaming application and the completeness of the functional adequacy feature of ISO 25010 was evaluated. Results: The test plan for the application\u27s operation was optimally executed. The adequate functionality of the application with respect to its completeness was 84.62%, which qualification is very acceptable. Conclusion: The implementation of new codecs facilitated the streaming transmission of the developed application.
Efficiency study of GraphQL and REST Microservices in Docker containers: A computational experiment
Full text linkIntroduction: In the constant evolution of technology, implementing new services in computer systems is crucial. However, the integration of these services presents problems and certain challenges in the deployment of applications. Technologies such as Docker and microservices architectures are alternatives to alleviate such integration. The aim was to compare the performance efficiency between microservices architectures implemented with GraphQL and REST, deployed in Docker and localhost environments. Methods: A computational experiment was conducted following the Wholin methodology to compare the performance efficiency of microservices architectures. The experimental design consisted of deploying both a GraphQL API and a REST API with identical functionalities in Docker containers and a localhost environment. Both APIs were consumed under controlled complexity and data volume conditions, ensuring a fair evaluation. Results: The experiment showed that the average response time in the Docker environment was significantly lower compared to the localhost environment. Also, the GraphQL API outperformed the REST API. In addition, a research artifact including all the study materials was published on Zenodo to support the replicability of the experiment. Conclusion: The architecture deployed in Docker is more efficient for microservices execution, particularly when GraphQL is used.
Quantum Key Distribution For Enabling Secure Network Function Vitalization Orchestration Over A Network
Full text linkQuantum Key Distribution (QKD) provides an state-of-the-art solution that work toward to enhance security of network and performance contrast to conventional systems. This paper focal point on the utilize of QKD to authorize secure orchestration and authorize network functions virtualization (NFV). The QKD-based solution is contrast with presenting solutions utilizing applying science and security KPIs.The outcomes display that the QKD solution exceed conventional solutions, with throughput stretch out 250 Mbit/s contrast to 150 Mbit/s, and response time of 4 ms versus 10 ms. The bit error rate (BER) registered a notable depletion to 1.2e-10 contrast to 1.8e-9, and an interception rate of 0% against 5% in conventional systems was attained.The work as well appears that the time wanted to distribute quantum keys is at most 4 ms, with a key exchange success rate of 99.8%. The model also give a demonstration of peak attack resistance with 100 successfully blocked hacking attempts registered. in spite of an extra 10ms data encryption processing time and a small 3% throughput effect, the general performance remainder marvelous with a network function deployment time of 150ms and only 0.1% packet loss.These measure reveal the efficacy of QKD in enhancing the security and efficiency of virtual networks. The paper give empirical perceptions to hold up the implementation of quantum security techniques in time ahead network infrastructures
Digital Skills And Sustainability In Teacher Training: The Use Of Ai For Continuous Improvement
Full text linkThis study analyzes the incidence of the use of artificial intelligence (AI) in the development of digital and sustainable competencies in teachers of higher education institutions in Ecuador. A quantitative and descriptive research was applied to a sample of 200 university teachers, evaluating their levels of digital competencies. To diagnose the teaching competencies in digital knowledge of teachers in higher education, a test was applied during the second semester of the year 2024 to 300 teachers from universities in the Ecuadorian highlands. Digital competencies were analyzed in four dimensions: Information, Communication and collaboration, Use of digital devices and tools, and Content creation. The results showed that professors present a medium to medium-high level of appropriation in all dimensions, the lowest being Content Creation. The conclusions highlight the importance of implementing new measures in the institutional environment for the strengthening of digital competencies and the adaptation to new forms of teaching and learning where the adoption of AI tools and their relationship with sustainable practices in the classroom, constitutes a viable alternative for such purposes. The results revealed a significant positive correlation between the use of AI tools and the strengthening of digital and sustainable competencies. In addition, barriers related to the lack of knowledge were identified.