Sustainable Engineering and Innovation (SEI - E-Journal)
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142 research outputs found
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The analysis of engineering adaptation to global challenges and strategic planning for the future
Full text linkA global shift towards green and sustainable solutions requires adapting emerging engineering technologies to evolve novel engineering solutions. Such solutions are incumbent to meet the emerging challenges ranging from smart infrastructural needs to sustainable engineering designs for energy production, agriculture, healthcare, and Information Technology. This review encompasses engineering strategies being practiced to serve global challenges around climate change, innovative energy storage, greener buildings, and renewable energy sources. Similarly, the role of recent technologies like artificial intelligence, quantum computing, intelligent robotics, electric vehicles, smart agriculture, automated healthcare, and bioinformatics is elaborated. Further, the role of strategic engineering planning and its adaptation for innovation and tapping digital transformation is discussed. This review also emphasized fostering an ecologically responsible and engineering-inclusive future outlook via tapping into interdisciplinary research and embracing digital technologies into existing engineering frameworks
A cross-sectional statistical survey analysis on consumer perceptions of domestic relative to foreign goods in Iraq
Full text linkThe research aims to identify the most important factors affecting the acquisition of local or imported goods by designing a questionnaire form that was distributed to a sample of shoppers in Iraq. The Chi-square test was used in the statistical analysis, while the characteristics that were used in the analysis were demographic characteristics, namely sex, age, educational attainment, profession, culture, intelligence, economic status, marital status, number of children, residence, in addition to the personal characteristics that the consumer is accustomed to and other aspects that were addressed. The analysis showed a set of conclusions, in general, that the majority of shoppers prefer cheaper goods if they are of the same quality, and there is a preference for some local needs over imported ones, such as dairy, meat, sweets, and curtains, while imported goods are preferred over local ones when purchasing clothes and furniture
Enhancing the optimization of resource distribution for eMMB and URLLC services within 5G wireless network architectures
Full text linkThe complex dilemma of resource allocation and management in the 5G network priority system, particularly for eMBB and URLLC services, is a pressing and critical issue that necessitates comprehensive research and strategic actions to enhance the performance and user experience of modern digital communications. This situation urgently requires the development of innovative spectrum sharing strategies, prioritization methods, and adaptive algorithms to cope with real-time fluctuations in network conditions. The fusion of machine learning and artificial intelligence can significantly enhance these methods by predicting traffic trends and proactively adjusting resources, ensuring that both eMBB and URLLC services meet their respective quality of service standards. This paper introduces a Q-learning-based particle swarm optimization algorithm for efficient resource allocation techniques. The implementation of edge computing can further alleviate some of these challenges by performing data processing close to the user, thereby reducing latency and improving the response time of URLLC applications while meeting the high throughput requirements of eMBB
Driven gamification by AI in a time series healthcare case study: Statistical intervention analysis
Full text linkWith artificial intelligence (AI), gamification has emerged as a promising strategy for improving patient engagement and rehabilitation outcomes. This study investigates the impact of AI models. (GRU, TCN, and ARIMA models ) Driven gamification on stroke rehabilitation by analyzing engagement metrics, functional independence improvement, and motivation scores. A simulated 180-day recovery dataset. SHAP analysis and performance comparisons provide insights into model interpretability and the influence of interventions performed using R. Results indicate that AI-driven gamification significantly enhances patient engagement, improving rehabilitation outcomes. The study provides a data-driven foundation for integrating AI-driven gamification in healthcare interventions. Also, this research simulates the application of a game-based cognitive therapy on day 91 and studies its effects using AI models for intervention analysis on simulated stroke recovery data with time series modeling as a forecasting model
A data-driven approach for studying tribology based on experimentation and artificial intelligence coupling tools
Full text linkTribology problems generally, and particularly high-temperature tribology (HTT), is a critical and complex topic based on the interaction between several intrinsic and extrinsic parameters. This involved complex phenomena, resulting in synergistic effects between mechanical, physical, chemical, and thermal solicitations. Introducing artificial intelligence tools, coupled with the design of the experiment, is an original approach to implement a successful transition from traditional "experimental guidance" to "experimental guidance associated with a data-driven" approach. The current study delves into the utilization of machine learning (ML) with simulation to help in the choice of the parameters for experimentation, and the development of predictive models. A detailed framework that takes into account the coupling between such tools is presented. Different scenarios are discussed to data drive the collaborative schema between the design of experiment, numerical development, and ML algorithms. This approach gives several opportunities such as the identification of the well-impacted parameters, optimization of the experimental design, and the proposition of predictive models. With the suitable proposed model, time loss, production costs, precision results, and man-hours could be saved or improved
Smartphone microscopy: Design and implementation of a dual magnification system
Full text linkThis paper presents a dual magnification smartphone microscope designed for versatile imaging, enabling low magnification for wide-field viewing and high magnification for detailed biological sample analysis and automatic control of the working distance. It offers a cost-effective alternative to traditional lab microscopes, particularly in low-resource settings. Simulated, optimized, and designed using Ansys Zemax OpticStudio, the microscope was fabricated with 3D printing technology. Dual magnification (150x and 1000x) was achieved with two optical paths, improving resolution to 1 µm at higher and 1.5 µm at lower magnifications. The design provides clear and accurate images. The smartphone integration enhances usability, allowing easy magnification switching, image capture, and potential use of diagnostic applications
Assessing the optimal compressive strength of eco-friendly bricks using full factorial design
Full text linkEco-friendly brick is one of the innovations that can be developed to reduce plastic waste. Plastic waste is mixed using clay and epoxy resin to be united into Eco-friendly brick. This research was conducted to understand the interactions between the parameters of the eco-friendly brick mixing process through the Full Factorial Design (FFD) approach. Two variables were observed: epoxy resin-clay ratio (30-50%) and PET particle (1-5mm). FFD with 22 replications resulted in a total of 8 experimental sets. Design Expert was used to optimize the compressive strength response produced as a variable of the prepared eco-friendly brick. From the results of Design Expert, it is found that the optimum processing parameters are in the condition of 37.78% ratio, and 3.58 mm for PET particle size which will produce the maximum compressive strength of 78.65 MPa with a coefficient of determination R2 of 0.9720. Overall, this study has significance in facilitating processing in the manufacture of eco-friendly bricks. Research and implementations involving mixes of PET particles and epoxy resin in producing environmentally friendly bricks have demonstrated the significant potential for these materials to enhance the compressive strength of sustainable brick
Energy and exergy evaluation in a densified biomass burner using cocoa shells, intended for air heating for the artificial drying of food
Full text linkResidual biomass as a renewable resource provides alternatives for energy generation, turning a problem into an opportunity for the industry. This study aims to analyze the energy and exergy performance of a biomass burner that uses cocoa shells as fuel for air heating and subsequent artificial drying of food. The study involves a conventional exergy analysis evaluating the energy performance of the equipment and proposing improvements to enhance the thermal efficiency of the system. The research consists of six phases: it begins with defining the input data of the system, followed by determining the thermodynamic properties of the working fluid (air), the exergies of the biofuel and the working fluid are calculated, energy and exergy balances are performed in the heat exchanger of the burner, and efficiencies are obtained. Finally, a sensitivity analysis is conducted to understand the burner’s behavior under different scenarios. The results showed an average exergy efficiency of 9.8%. By increasing energy efficiency in the sensitivity analysis, the outlet temperature rises to 164°C; however, exergy destruction decreases by 48.7%. One of the significant conclusions of this study proposes modifying the coil design to improve the exergy efficiency of the system due to its heat transfer capacity to the air
Performance evaluation of solar thermal collectors in Colombian thermal floors by dynamic simulation
Full text linkPopulation growth has increased energy demands, posing challenges for Colombia due to its limited natural resources and the effects of climate change. Heating and cooling represent the main energy needs of households. Since the adoption of the Sustainable Development Goals, particularly SDG07, interest in renewable energy sources, especially solar energy, has grown. Solar energy, a clean and abundant resource, is typically harnessed through photovoltaic (PV) and solar thermal (ST) technologies. ST technologies are classified by their level of solar concentration into 1D, 2D, and 3D dimensions. This study focuses on simulating the performance of flat plate collectors (FPC), evacuated tube collectors (ETC), and parabolic trough collectors (PTC) across different regions of Colombia using TRNSYS software. Linear Fresnel Collectors (LFC) were excluded due to their lower efficiency and commercial maturity compared to PTC. The analysis covers five Colombian thermal floors: warm, temperate, cold, paramo, and snow, represented by five distinct regions. Dynamic simulation models were developed to evaluate the performance of these technologies, offering a detailed and practical insight into their potential implementation in the Colombian context. The results highlight the influence of regional climatic conditions on the performance of each solar technology, emphasizing the need for careful selection and system design tailored to the specific thermal floor to ensure optimal efficiency
Design and implementation of voice-command controller for fixed-wing unmanned aerial vehicles using automatic speech recognition and natural language processing techniques
Full text linkThis paper explores the development of a voice command controller leveraging the capabilities of an automatic speech recognition (ASR) system and natural language processing (NLP) technique to manage a fixed-wing unmanned aerial vehicle (UAV). The controller is designed to interpret voice commands for controlling fixed-wing UAVs. The implementation of the system involved two key stages: (1) implementation of a voice command controller using integrated ASR and NLP techniques deployed in a simulated plane in the SITL simulator followed by (2) deployment of the controller to an actual Sky Surfer plane fixed-wing aircraft. The results indicate that the algorithm achieved an average confidence rate of 91.86 % in transcribing voice commands to words, with a Word Error Rate (WER) of approximately 0.021. The developed system demonstrated the ability to interpret both low-level and high-level commands for UAV control interfaces. Such an interface offers greater intuitiveness compared to traditional RC controls, potentially requiring less training to operate effectively. Moreover, it reduces human workload, as once commands are issued, the system can execute them without the need for continuous supervision