Tootfinder

Something that worries me avout sustainable operations is the self-complacency with resource consumption because they are sustainable, without considering that the more we use, even if sustainable, means that more production is needed. And production always implies more resources: more solar panels, more windmills, increases on prices taking sustainable resources from people that can't afford them and then have to go for cheaper less sustainable resources, more recycled paper needed, 1/2…

2 new #sustainable #cloud provider using reusing excess heat:
https://codeberg.o…

Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation
Tina Vartziotis, Ippolyti Dellatolas, George Dasoulas, Maximilian Schmidt, Florian Schneider, Tim Hoffmann, Sotirios Kotsopoulos, Michael Keckeisen
https://arxiv.org/abs/2403.03344

Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation
The increasing use of information technology has led to a significant share of energy consumption and carbon emissions from data centers. These contributions are expected to rise with the growing demand for big data analytics, increasing digitization, and the development of large artificial intelligence (AI) models. The need to address the environmental impact of software development has led to increased interest in green (sustainable) coding and claims that the use of AI models can lead to ene…

Exploring Sustainable Clothing Consumption in Middle-Income Countries: A case study of Romanian consumers
Anastasia Cosma
https://arxiv.org/abs/2404.02612 …

Exploring Sustainable Clothing Consumption in Middle-Income Countries: A case study of Romanian consumers
The overconsumption of consumers under today's increasingly scarce natural resources has overwhelmed the textile industry in middle-income countries, such as Romania. It is becoming more and more essential to encourage sustainable clothing consumption behaviors, such as purchasing recyclable clothes. Notwithstanding there is a limited number of studies trying to understand the intrinsic factors that motivate consumers' purchase intention toward sustainable clothes in middle-income countries. Mo…

Data-driven Energy Consumption Modelling for Electric Micromobility using an Open Dataset
Yue Ding, Sen Yan, Maqsood Hussain Shah, Hongyuan Fang, Ji Li, Mingming Liu
https://arxiv.org/abs/2403.17632

Data-driven Energy Consumption Modelling for Electric Micromobility using an Open Dataset
The escalating challenges of traffic congestion and environmental degradation underscore the critical importance of embracing E-Mobility solutions in urban spaces. In particular, micro E-Mobility tools such as E-scooters and E-bikes, play a pivotal role in this transition, offering sustainable alternatives for urban commuters. However, the energy consumption patterns for these tools are a critical aspect that impacts their effectiveness in real-world scenarios and is essential for trip planning…

CarbonCP: Carbon-Aware DNN Partitioning with Conformal Prediction for Sustainable Edge Intelligence
Hongyu Ke, Wanxin Jin, Haoxin Wang
https://arxiv.org/abs/2404.16970

CarbonCP: Carbon-Aware DNN Partitioning with Conformal Prediction for Sustainable Edge Intelligence
This paper presents a solution to address carbon emission mitigation for end-to-end edge computing systems, including the computing at battery-powered edge devices and servers, as well as the communications between them. We design and implement, CarbonCP, a context-adaptive, carbon-aware, and uncertainty-aware AI inference framework built upon conformal prediction theory, which balances operational carbon emissions, end-to-end latency, and battery consumption of edge devices through DNN partiti…

The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision
Andreas M\"uller, Erwin Quiring
https://arxiv.org/abs/2403.18587

The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer Vision
Resource efficiency plays an important role for machine learning nowadays. The energy and decision latency are two critical aspects to ensure a sustainable and practical application. Unfortunately, the energy consumption and decision latency are not robust against adversaries. Researchers have recently demonstrated that attackers can compute and submit so-called sponge examples at inference time to increase the energy consumption and decision latency of neural networks. In computer vision, the …

Towards Industry 5.0: A Systematic Literature Review on Sustainable and Green Composite Materials Supply Chains
Md Rabiul Hasan, Muztoba Ahmed Khan, Thorsten Wuest
https://arxiv.org/abs/2402.06100

Towards Industry 5.0: A Systematic Literature Review on Sustainable and Green Composite Materials Supply Chains
Sustainable supply chain management is a key objective of Industry 5.0, leveraging technologies like real-time data analytics, connectivity, and intelligent automation. At the same time, composite materials present benefits such as lightweight structures, crucial for reducing fuel consumption. This study investigates the intersection between sustainable supply chains and composites by analyzing the current status, research gaps, methodologies, and future research opportunities through bibliomet…

Potentials of Green Coding -- Findings and Recommendations for Industry, Education and Science -- Extended Paper
Dennis JungerHTW Berlin, Max WestingUmwelt-Campus Birkenfeld, Christopher P. FreitagHTW Berlin, Achim GuldnerUmwelt-Campus Birkenfeld, Konstantin MittelbachHTW Berlin, Kira Oberg\"okerUmwelt-Campus Birkenfeld, Sebastian WeberUmwelt-Campus Birkenfeld, Stefan NaumannUmwelt-Campus Birkenfeld, Volker WohlgemuthHTW Berlin

Potentials of Green Coding -- Findings and Recommendations for Industry, Education and Science -- Extended Paper
Progressing digitalization and increasing demand and use of software cause rises in energy- and resource consumption from information and communication technologies (ICT). This raises the issue of sustainability in ICT, which increasingly includes the sustainability of the software products themselves and the art of creating sustainable software. To this end, we conducted an analysis to gather and present existing literature on three research questions relating to the production of ecologically…

Knowledge-Powered Recommendation for an Improved Diet Water Footprint
Saurav Joshi, Filip Ilievski, Jay Pujara
https://arxiv.org/abs/2403.17426 https://

Knowledge-Powered Recommendation for an Improved Diet Water Footprint
According to WWF, 1.1 billion people lack access to water, and 2.7 billion experience water scarcity at least one month a year. By 2025, two-thirds of the world's population may be facing water shortages. This highlights the urgency of managing water usage efficiently, especially in water-intensive sectors like food. This paper proposes a recommendation engine, powered by knowledge graphs, aiming to facilitate sustainable and healthy food consumption. The engine recommends ingredient substitute…

Power-Efficient Image Storage: Leveraging Super Resolution Generative Adversarial Network for Sustainable Compression and Reduced Carbon Footprint
Ashok Mondal (Vellore Institute of Technology, Chennai), Satyam Singh (Vellore Institute of Technology, Chennai)
https://arxiv.org/abs/2404.04642…

Power-Efficient Image Storage: Leveraging Super Resolution Generative Adversarial Network for Sustainable Compression and Reduced Carbon Footprint
In recent years, large-scale adoption of cloud storage solutions has revolutionized the way we think about digital data storage. However, the exponential increase in data volume, especially images, has raised environmental concerns regarding power and resource consumption, as well as the rising digital carbon footprint emissions. The aim of this research is to propose a methodology for cloud-based image storage by integrating image compression technology with SuperResolution Generative Adversar…

Public Sector Sustainable Energy Scheduler -- A Blockchain and IoT Integrated System
Renan Lima Baima (Interdisciplinary Centre for Security, Reliability and Trust - SnT, University of Luxembourg), Iv\'an Abell\'an \'Alvarez (Interdisciplinary Centre for Security, Reliability and Trust - SnT, University of Luxembourg), Ivan Pavi\'c (Interdisciplinary Centre for Security, Reliability and Trust - SnT, University of Luxembourg), Emanuela Podda (Interdisciplinary Centre for…

Public Sector Sustainable Energy Scheduler -- A Blockchain and IoT Integrated System
In response to the European Commission's aim of cutting carbon emissions by 2050, there is a growing need for cutting-edge solutions to promote low-carbon energy consumption in public infrastructures. This paper introduces a Proof of Concept (PoC) that integrates the transparency and immutability of blockchain and the Internet of Things (IoT) to enhance energy efficiency in tangible government-held public assets, focusing on curbing carbon emissions. Our system design utilizes a forecasting and…

GreenBytes: Intelligent Energy Estimation for Edge-Cloud
Kasra Kassai, Tasos Dagiuklas, Satwat Bashir, Muddesar Iqbal
https://arxiv.org/abs/2403.04665 http…

GreenBytes: Intelligent Energy Estimation for Edge-Cloud
This study investigates the application of advanced machine learning models, specifically Long Short-Term Memory (LSTM) networks and Gradient Booster models, for accurate energy consumption estimation within a Kubernetes cluster environment. It aims to enhance sustainable computing practices by providing precise predictions of energy usage across various computing nodes. Through meticulous analysis of model performance on both master and worker nodes, the research reveals the strengths and pote…

Environmental policies as a pull factor for tourists? Insights from Italy
Riccardo Gianluigi Serio, Maria Michela Dickson, Thomas de Graaff, Eric H. Pels
https://arxiv.org/abs/2404.08696

Environmental policies as a pull factor for tourists? Insights from Italy
Tourism consumption has grown into a major economic factor for modern societies. However, the environmental impact of tourism has become a significant concern, leading to an increased focus on sustainable tourism policies. While governments and institutions have introduced frameworks to promote ecological transition in the tourism sector, the effectiveness of such policies remains unclear. This study provides a seminal attempt to examine the complex relationship between tourism demand and susta…

Picosecond Femtojoule Resistive Switching in Nanoscale VO$_{2}$ Memristors
S. W. Schmid, L. P\'osa, T. N. T\"or\"ok, B. S\'anta, Z. Pollner, G. Moln\'ar, Y. Horst, J. Volk, J. Leuthold, A. Halbritter, M. Csontos
https://arxiv.org/abs/2403.13530

Picosecond Femtojoule Resistive Switching in Nanoscale VO$_{2}$ Memristors
Beyond-Moore computing technologies are expected to provide a sustainable alternative to the von Neumann approach not only due to their down-scaling potential but also via exploiting device-level functional complexity at the lowest possible energy consumption. The dynamics of the Mott transition in correlated electron oxides, such as vanadium dioxide, has been identified as a rich and reliable source of such functional complexity. However, its full potential in high-speed and low-power operatio…

Research progress on intelligent optimization techniques for energy-efficient design of ship hull forms
Shuwei Zhu, Siying Lv, Kaifeng Chen, Wei Fang, Leilei Cao
https://arxiv.org/abs/2403.05832

Research progress on intelligent optimization techniques for energy-efficient design of ship hull forms
The design optimization of ship hull form based on hydrodynamics theory and simulation-based design (SBD) technologies generally considers ship performance and energy efficiency performance as the design objective, which plays an important role in smart design and manufacturing of green ship. An optimal design of sustainable energy system requires multidisciplinary tools to build ships with the least resistance and energy consumption. Through a systematic approach, this paper presents the resea…

GreenBytes: Intelligent Energy Estimation for Edge-Cloud
Kasra Kassai, Tasos Dagiuklas, Satwat Bashir, Muddesar Iqbal
https://arxiv.org/abs/2403.04665 http…

GreenBytes: Intelligent Energy Estimation for Edge-Cloud
This study investigates the application of advanced machine learning models, specifically Long Short-Term Memory (LSTM) networks and Gradient Booster models, for accurate energy consumption estimation within a Kubernetes cluster environment. It aims to enhance sustainable computing practices by providing precise predictions of energy usage across various computing nodes. Through meticulous analysis of model performance on both master and worker nodes, the research reveals the strengths and pote…

ORIENT: A Priority-Aware Energy-Efficient Approach for Latency-Sensitive Applications in 6G
Masoud Shokrnezhad, Tarik Taleb
https://arxiv.org/abs/2402.06931

ORIENT: A Priority-Aware Energy-Efficient Approach for Latency-Sensitive Applications in 6G
Anticipation for 6G's arrival comes with growing concerns about increased energy consumption in computing and networking. The expected surge in connected devices and resource-demanding applications presents unprecedented challenges for energy resources. While sustainable resource allocation strategies have been discussed in the past, these efforts have primarily focused on single-domain orchestration or ignored the unique requirements posed by 6G. To address this gap, we investigate the joint p…

Research progress on intelligent optimization techniques for energy-efficient design of ship hull forms
Shuwei Zhu, Siying Lv, Kaifeng Chen, Wei Fang, Leilei Cao
https://arxiv.org/abs/2403.05832

Research progress on intelligent optimization techniques for energy-efficient design of ship hull forms
The design optimization of ship hull form based on hydrodynamics theory and simulation-based design (SBD) technologies generally considers ship performance and energy efficiency performance as the design objective, which plays an important role in smart design and manufacturing of green ship. An optimal design of sustainable energy system requires multidisciplinary tools to build ships with the least resistance and energy consumption. Through a systematic approach, this paper presents the resea…