The Role of Technology in Enhancing Social Sustainability

Advances in logistics, operations, and management science book series, Journal Year: 2025, Volume and Issue: unknown, P. 275 - 302

Published: Jan. 2, 2025

Social sustainability has emerged as a critical dimension of sustainable development, emphasizing the need for societal well-being and equity in context environmental economic sustainability. It encompasses interplay between social systems, human rights, community dynamics, resilience societies. Unlike its counterparts, which often dominate discussions about sustainability, focuses on fabric that holds communities together. This includes factors such equity, cohesion, cultural identity, engagement, all are vital fostering resilient thriving The challenge lies integrating these dimensions with broader goals to create holistic approaches address complexities contemporary issues. requires deep understanding justice, access resources, recognition diverse identities experiences within community.

Language: Английский

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Transformation Towards Smart City: Evidence Based Policy Analysis In Implementation Of Smart Branding Samarinda City

SSRN Electronic Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Big data supports smart city that currently exists as a solution to respond complexity of needs and problems in society through technology integration. Smart branding is central goal increase Samarinda City's competitiveness the development tourism, economy, urban landscape. The city's face arrangement main concept Citra Niaga area City by utilizing Walk Waterfront concept. Revitalization entering second stage, so evidence-based policy important determinant success implementation City. This research aims analyze revitalization toward transformation uses qualitative descriptive method. result showed citra niaga has been based on policy. had experienced setbacks project work, lack government communication with traders, low level promotion made not running optimally. Through can improve functionality previous structuring appearance marketing potential region.

Language: Английский

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An Integrated Decision Support System for Optimizing Time-Cost Trade-offs in Linear Repetitive Projects

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 9, 2025

The primary aim of this paper is to minimize the overall completion time linear repetitive projects while simultaneously reducing direct and indirect costs by employing predefined construction methods. To address these challenges, study proposes a dual-optimization framework that integrates Genetic Algorithms (GA) Particle Swarm Optimization (PSO). methodology involves decomposing tasks into sub-tasks, enabling more detailed feasible Time-Cost Trade-off (TCT) analysis, which further combined with Line Balance (LOB) methodology. A comparative analysis between GA PSO highlights their respective strengths effectiveness, an area previously underexplored in literature. findings reveal proposed significantly reduces project durations. approach achieves reductions approximately 3.25% costs, 20% 7% total demonstrates slightly better cost efficiency 4% reduction similar costs. Both methods deliver time, showcasing effectiveness streamlining processes. This contributes field presenting GA-PSO-based Linear Repetitive Project (LRPTCT) model, integrating TCT LOB, offering novel solution complexities projects. Furthermore, its provides valuable insights for optimizing management practices.

Language: Английский

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An intrusion detection model based on Convolutional Kolmogorov-Arnold Networks

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 14, 2025

The application of artificial neural networks (ANNs) can be found in numerous fields, including image and speech recognition, natural language processing, autonomous vehicles. As well, intrusion detection, the subject this paper, relies heavily on it. Different detection models have been constructed using ANNs. While ANNs are relatively mature to construct models, some challenges remain. Among most notorious these bloated caused by large number parameters, non-interpretability models. Our paper presents Convolutional Kolmogorov-Arnold Networks (CKANs), which designed overcome difficulties provide an interpretable accurate model. (KANs) developed from representation theorem. Meanwhile, CKAN incorporates a convolutional computational mechanism based KAN. model proposed is incorporating attention mechanisms into CKAN's logic. datasets CICIoT2023 CICIoMT2024 were used for training validation. From results evaluating performance indicators experiments, CKANs has attractive prospect. compared with other methods, predict much higher level accuracy significantly fewer parameters. However, it not superior terms memory usage, execution speed energy consumption.

Language: Английский

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Building blocks for smart cities adoption and associated implementation drawbacks in sub-Saharan Africa

International Journal of Urban Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 27

Published: Jan. 18, 2025

Language: Английский

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