Ain Shams Engineering Journal, Journal Year: 2024, Volume and Issue: 16(2), P. 103258 - 103258
Published: Dec. 31, 2024
Language: Английский
Results in Engineering, Journal Year: 2024, Volume and Issue: 22, P. 102057 - 102057
Published: April 2, 2024
As construction projects increase in complexity, there are growing challenges with conventional monitoring methods terms of efficiency, safety, and competitiveness. Traditional supervision techniques labour-intensive, intermittent, prone to errors. Hence, this study statistically evaluates the potential advantages photogrammetry, sensors, algorithms enable continuous automated monitoring. The results survey were analysed compare manual systems. outcome shows that Malaysian industry is aware Automated Monitoring Innovations for Efficient Safe Construction Practices. top ranked factor was Photogrammetry which had a relative importance index (RII) 0.821 straightforward site 0.812 accelerated 3D BIM modelling. RII sensors track labourers, apparatus, progress real time 0.82, while hazard anticipation 0.796. Automation achieved reduction fatigue by 0.784, labour intensity 0.792, demands 0.768, as measured RII. A conceptual framework developed incorporates measurable improvements schedules, quality control. solutions, opposed human examinations error, provided exhaustive geographical data ongoing surveillance notwithstanding obstacles pertaining cost, cybersecurity, privacy, integration. must incorporate new technology, strategic change management, investments, supporting regulations profitability, efficiency competition complexity increase.
Language: Английский
Citations
21
Energies, Journal Year: 2024, Volume and Issue: 17(13), P. 3295 - 3295
Published: July 4, 2024
Achieving sustainable green building design is essential to reducing our environmental impact and enhancing energy efficiency. Traditional methods often depend heavily on expert knowledge subjective decisions, posing significant challenges. This research addresses these issues by introducing an innovative framework that integrates information modeling (BIM), explainable artificial intelligence (AI), multi-objective optimization. The includes three main components: data generation through DesignBuilder simulation, a BO-LGBM (Bayesian optimization–LightGBM) predictive model with LIME (Local Interpretable Model-agnostic Explanations) for prediction interpretation, the optimization technique AGE-MOEA address uncertainties. A case study demonstrates framework’s effectiveness, achieving high accuracy (R-squared > 93.4%, MAPE < 2.13%) identifying HVAC system features. resulted in 13.43% improvement consumption, CO2 emissions, thermal comfort, additional 4.0% gain when incorporating enhances transparency of machine learning predictions efficiently identifies optimal passive active solutions, contributing significantly construction practices. Future should focus validating its real-world applicability, assessing generalizability across various types, integrating generative capabilities automated
Language: Английский
Citations
15
Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102409 - 102409
Published: June 18, 2024
The rapid growth of the massive smart Internet Things (IoT) with mobile connections, enhanced Mobile Broadband (eMBB) and high demand for building a connected intelligent world increase probability satellite systems to be major network in providing internet communication services future. Currently, are envisioned as significant solution different settings various vital objectives. These have special qualities each these situations, incl uding extensive coverage area, robustness, ability broadcast/multicast. Low Earth Orbit (LEO) best promising technology that will offer among types systems. However, LEO still experiencing certain restrictions respect connectivity, stability, mobility support; because which becomes unreliable. Therefore, aim this paper is broadly explain comprehensive manner using variety perspectives. focus on key aspects based This illustrates integration fifth sixth generations cellular networks well IoT networks. It discusses problems being faced result between by comprehending future research plans outlined.
Language: Английский
Citations
13
Results in Engineering, Journal Year: 2024, Volume and Issue: 23, P. 102601 - 102601
Published: July 22, 2024
The evolution of science has given rise to many technologies that have changed the world. upcoming Six-Generation (6G) mobile network indicates a fundamental transformation in wireless technologies, enhancing connectivity and data transmission rates. In this circumstance, Mobile Edge Computing (MEC) is paradigm technology emerges as key major supporter mobility awareness. computing offers improved efficiency for service migration from edge node user. However, management MEC complex challenge seamless handovers between nodes must be efficiently executed ensure uninterrupted devices, demanding intricate coordination low-latency decision-making. To best author's knowledge, there been no comprehensive work on most recent developments awareness using 6G. paper aims present general overview intersection over 6G networks. concept networks comprehensively introduced. This will highlight integration bringing more efficient edge, reducing latency, user experience. Meanwhile, survey discusses augmented reality with applications. applications emphasizes need results providing communication during serving base station target station. study contributes understanding trends enable operation communication. Furthermore, we delve into challenges future research directions networks, underlining complexities potentials integrating computing.
Language: Английский
Citations
8
Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103157 - 103157
Published: Oct. 1, 2024
Language: Английский
Citations
8
Buildings, Journal Year: 2024, Volume and Issue: 14(3), P. 788 - 788
Published: March 14, 2024
In recent times, the rise of urbanization, industrialization, population growth, food security, and COVID-19 pandemic have led to an increased demand for indoor spaces with efficient air conditioning systems. As a result, there is growing interest in creating more complex HVAC systems improve spaces. Building information modeling (BIM) offers numerous benefits industry, such as clash detection, budget time reductions, efficiency. However, its implementation currently hindered by various challenges. This research aims identify major barriers BIM industry Turkey, using questionnaire survey 224 domain experts working 42 different companies across fields industry. The study utilized several statistical analyses categorize prioritize most critical barriers, including reliability tests, exploratory factor analysis (EFA), confirmatory (CFA), Kaiser–Meyer–Olkin (KMO) test, Bartlett’s ranking factors (IRI). results indicate that “Deficiencies Infrastructure Lack Qualified Personnel (DIP)” group constituted significant barrier, followed “Lack Documentation Specifications (LDS)”, Case Studies Project Drawings (DCP)”, Motivation Resistance (LMR)”. Moreover, our revealed 60% participants’ allocate less than 40% their budgets technological infrastructure, which hinders adoption BIM. To promote sector, we recommend enhancing personnel capacity building, improving skills knowledge about BIM, promoting guidelines, providing free access documentation practitioners.
Language: Английский
Citations
5
Results in Engineering, Journal Year: 2024, Volume and Issue: 24, P. 103034 - 103034
Published: Oct. 5, 2024
Language: Английский
Citations
4
Frontiers in Communications and Networks, Journal Year: 2025, Volume and Issue: 6
Published: Feb. 4, 2025
Introduction The Internet of Things (IoT) is a new technology that connects billions devices. Despite offering many advantages, the diversified architecture and wide connectivity IoT make it vulnerable to various cyberattacks, potentially leading data breaches financial loss. Preventing such attacks on ecosystem essential ensuring its security. Methods This paper introduces software-defined network (SDN)-enabled solution for vulnerability discovery in systems, leveraging deep learning. Specifically, Cuda-deep neural (Cu-DNN), Cuda-bidirectional long short-term memory (Cu-BLSTM), Cuda-gated recurrent unit (Cu-DNNGRU) classifiers are utilized effective threat detection. approach includes 10-fold cross-validation process ensure impartiality findings. most recent publicly available CICIDS2021 dataset was used train hybrid model. Results proposed method achieves an impressive recall rate 99.96% accuracy 99.87%, demonstrating effectiveness. model also compared benchmark classifiers, including Cuda-Deep Neural Network, Cuda-Gated Recurrent Unit, (Cu-DNNLSTM Cu-GRULSTM). Discussion Our technique outperforms existing based evaluation criteria as F1-score, speed efficiency, accuracy, precision. shows strength detection highlights potential combining SDN with learning assessment.
Language: Английский
Citations
0
Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(4)
Published: March 22, 2025
Language: Английский
Citations
0
Internet of Things, Journal Year: 2025, Volume and Issue: unknown, P. 101595 - 101595
Published: March 1, 2025
Language: Английский
Citations
0