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Learning-Based Short-Term Energy Consumption Forecasting 1

引用

20th International Conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Haddad, Hatem Jerbi, Feres Smaali, Issam Wattnow La Goulette Tunisia

ISBN: (数字)9783031632150

ISBN: (纸本)9783031632174;9783031632150;9783031632143

Development of reliable methods is essential to understand building energy consumption. Traditional statistical models showed drawbacks to express non-linear predictions. The recent artificial intelligence methods are more suitable to study the non-linear correlation between the consumed data, meteorological data, and other features. To address these challenges, we evaluate and compare the performances of ten learning-based models on four energy consumption datasets. The proposed framework includes four preprocessing steps namely, outliers and missing data processing, resampling processing, data normalization and features reduction. The results revealed the importance of the preprocessing steps having a high impact on the forecast performances. In addition, finding results showed that performances drop when resampling the original data values and performances increase when reducing the features by applying Pearson Correlation Coefficient. Based on four evaluation metrics (MAE, MAPE, R-Squared and Pbias), forecast results revealed that the applied models achieved high forecasting performances. Moreover, Machine learning models achieved slightly better performances, especially ensemble models such as ERTR and XGBOOST, outperforming Deep learning models and Hybrid models.

关键词： Energy consumption Artificial intelligence Short-term forecasting Time series Learning-based models

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Mapping Current Research for Eco-Efficient and Circular Industrial Systems 43rd

Mapping Current Research for Eco-Efficient and Circular Indu...

引用

43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Acerbi, Federica Despeisse, Melanie Politecn Milan Milan Italy Chalmers Univ Technol Gothenburg Sweden

ISBN: (纸本)9783031716249;9783031716225;9783031716218

With the growing sense of urgency to tackle climate change and other environmental issues, integrating sustainability as a central component of production research and industrial practice is imperative. Eco-efficiency and circular economy are powerful concepts to guide actions as a response to these environmental concerns. To encourage the uptake of these concepts in research and development, a thematic research framework for eco-efficient and circular industrial systems was proposed in 2022. This framework is composed of ten priority areas with more specific challenges captured in the form of research questions to call for collaborative research efforts. To map current research against these challenges and priority areas, a survey was launched to reach out to experts from different overlapping research themes within the research community in the field of production management: operations management, supply/value networks, technological development, business development, human factors, and performance management. This paper presents the initial survey results based on 50 responses to investigate which priority areas are being addressed by this community, as well as point to avenues for further work to support the transition to more sustainable industrial systems. Finally, we conclude that there is a need to better engage manufacturing companies to address sustainability challenges, exploiting tools and methods available in the literature to make sustainability become the new industrial norm.

关键词： Research survey Production management Circular Economy Eco-efficiency Industrial sustainability

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An Empirical Analysis of Data Reduction Techniques for k-NN Classification 20th

An Empirical Analysis of Data Reduction Techniques for k-NN ...

引用

20th International Conference on Artificial Intelligence Applications and Innovations (AIAI)

作者： Eleftheriadis, Stylianos Evangelidis, Georgios Ougiaroglou, Stefanos Univ Macedonia Sch Informat Sci Dept Appl Informat Thessaloniki 54636 Greece Int Hellen Univ Sch Engn Dept Informat & Elect Engn Thessaloniki 57400 Greece

ISBN: (纸本)9783031632259;9783031632235;9783031632228

This study explores Data Reduction Techniques (DRTs) in the realm of lazy classification algorithms like k-NN, focusing on Prototype Selection (PS) and Prototype Generation (PG) methods. The research provides an in-depth examination of these methodologies, categorizing DRTs into two primary categories: PS and PG, and further dividing them into three sub-categories: condensation methods, edition methods, and hybrid methods. An experimental study compares a total of 20 new and state-of-the-art DRTs across 20 datasets. The objective is to draw performance conclusions within both the primary and subcategories, offering valuable insights into how these techniques enhance the effectiveness and robustness of the k-NN classifier. The paper provides a comprehensive overview of DRTs, clarifying their strategies and relative performances.

关键词： prototype generation prototype selection data reduction techniques data mining data cleaning

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Digitalized Co-production of Emergency Response Dispatch and On-Site Work by Volunteer First Responders 8th

Digitalized Co-production of Emergency Response Dispatch and...

引用

8th International Conference on information technology in Disaster Risk Reduction (ITDRR)

作者： Alkusaibati, Wael Pilemalm, Sofie Linkoping Univ S-58183 Linkoping Sweden Univ Agder N-4630 Kristiansand Norway

ISBN: (纸本)9783031640391;9783031640377;9783031640360

Using volunteers as first responders in frequent emergencies has during the recent decade received increased attention from research and practice. In this study, we focus on the ICT dispatch of volunteer first responders, and their on-site work and collaboration, e.g., as to ICT dispatch, response rates, response times, time-on-site, and tasks performed. We use incident reports filled in by the volunteers and the theoretical lens of digitalized co-production. The results point at a positive effect of using volunteers as first responders, e.g., shortened response times and concrete contributions in most cases, indicating cost-effectiveness. The ICT for dispatch, however, is a challenging part of the co-production, lacking above all, in geofencing, but also in functionality for dynamic resource allocation. Most of the volunteers are willing to contribute to large-scale crisis management, making them a future useful resource in this context. Implications for digitalized co-production are discussed.

关键词： ICT Digitalized co-production Emergency response volunteer

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Practical Deep Neural Network Protection for Unmodified Applications in Intel Software Guard Extension Environments 17th

Practical Deep Neural Network Protection for Unmodified Appl...

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17th Critical Infrastructure Protection

作者： Kang, Dee Meng Faahym, Haadee Meftah, Souhail Keoh, Sye Loong Khin, Mi Mi Aung Agcy Sci Technol & Res Singapore Singapore Univ Glasgow Singapore Singapore Singapore Natl Univ Singapore Singapore Singapore

ISBN: (纸本)9783031495878;9783031495854;9783031495847

Trusted computing, often referred to as confidential computing, is an attempt to enhance the trust of modern computer systems through a combination of software and hardware mechanisms. The area increased in popularity after the release of the Intel Software Guard Extensions software development kit, enabling industry actors to create applications compatible with the interfaces required to leverage secure enclaves. However, the prime choices of users are still libraries and solutions that facilitate code portability to Software Guard Extension environments without any modifications to native applications. While these have proved effective at eliminating additional development costs, they inherit all the security concerns for which Software Guard Extensions has been criticized. This chapter proposes a split computing method to enhance the privacy of deep neural network models outsourced to trusted execution environments. The key metric that guides the approach is split computing performance that does not involve architectural modifications to deep neural network models. The model partitioning method enables stricter security guarantees while producing negligible levels of overhead. This chapter also discusses the challenges involved in developing a pragmatic solution against established Intel Software Guard Extensions attacks. The results demonstrate that the method introduces negligible performance overhead and reliably secures the outsourcing of deep neural network models.

关键词： Trusted Computing Intel Software Guard Extensions Machine Learning

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A Meta-heuristic Approach for Industry 5.0 Assembly Line Balancing and Scheduling with Human-Robot Collaboration 43rd

A Meta-heuristic Approach for Industry 5.0 Assembly Line Bal...

引用

43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Zhang, Jingyue Zhou, Jinshu Fujimura, Shigeru Waseda Univ Grad Sch Informat Prod & Syst Fukuoka Japan

ISBN: (纸本)9783031658969;9783031658945;9783031658938

Throughout the development of Industry 5.0 towards a paradigm prioritizing human-centricity and sustainability, the potential of assembly lines with human-robot collaboration (HRC) is substantial. In HRC environments, human and robot operators share the workplace and can perform tasks simultaneously and collaboratively, amplifying work efficiency and operators' welfare. This research investigates solutions to the assembly line balancing problem (ALBP) with HRC, where multiple human and robot operators work together. Using an adaptive simulated annealing (SA) framework for addressing ALBP with HRC, two innovative mechanisms are introduced-a new fitness value calculation method for roulette wheel selection and a pioneering heuristic approach. These mechanisms are devised to establish an innovative meta-heuristic approach based on SA for enhancing task allocation and resource management, improving productivity and operators' well-being through strategic workload balancing between human and robot operators, and minimizing cycle times and the total number of operators required. The computational results using actual production data show that these mechanisms significantly enhance the solution quality, particularly in the large-size case study involving collaboration between multiple humans and robots in each workstation.

关键词： Assembly line balancing Human-robot collaboration Meta-heuristic

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Exploring the Cognitive Workload Assessment According to Human-Centric Principles in Industry 5.0 43rd

Exploring the Cognitive Workload Assessment According to Hum...

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43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Nadaffard, Ahmadreza Oliveri, Ludovica Maria D'Urso, Diego Facchini, Francesco Sassanelli, Claudio Polytech Univ Bari Bari Italy Univ Catania Catania Italy Ecole Ponts ParisTech Ecole Ponts Business Sch ReTech Ctr Paris France

ISBN: (纸本)9783031658969;9783031658945;9783031658938

Industry 4.0 and 5.0 paradigms have been crucial for companies in employing digital technologies as an ally for men to free them from dangerous and routine tasks in favour of higher value tasks, putting humans at the centre of the organization as the decision maker. However, on the one hand, the new industrial systems shift to newtasks requiring more 'cognitive' than 'physical' efforts;on the other hand, the approaches to assess the cognitive workload and ensure the physical well-being of the operators are far to be considered easily applicable. For this reason, this research reveals current research trajectories and explores the cognitive workload using subjective and objective indicators. The discussion highlights cognitive ergonomics and advocates for a harmonious balance between human and machine capabilities. It identifies factors contributing to cognitive overload in manufacturing and maps their interconnections. The analysis of recent research trends reveals a growing adoption of new approaches requiring the adoption of physiological measurements (e.g., electrocardiogram (ECG), electroencephalography (EEG), Electromyography (EMG), etc.). Finally, this investigation offers insights into future research directions, urging a nuanced exploration of industrial activities and addressing cognitive workload across organisational layers in the context of Industry 5.0.

关键词： Industry 5.0 human-centric approach human factors cognitive workload assessment smart manufacturing systems

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A Bibliometric Perspective of Integrating Labor Flexibility in Workload Control 43rd

A Bibliometric Perspective of Integrating Labor Flexibility ...

引用

43rd ifip WG 5.7 International Conference on advances in Production Management Systems (APMS)

作者： Ahmadi, Alireza Cantini, Alessandra Staudacher, Alberto Portioli Politecn Milan Dept Management Econ & Ind Engn Piazza Leonardo da Vinci 32 I-20133 Milan Italy Univ Politecn Madrid Escuela Tecn Super Ingn Ind C de Jose Gutierrez Abascal 2 Madrid 28006 Spain

ISBN: (纸本)9783031658969;9783031658945;9783031658938

In an era assessed by quick technological advancement and shifting work paradigms, the integration of labor flexibility (LF) within Workload Control (WLC) systems presents a critical yet underexplored facet of industrial operation. This research embarks on a comprehensive bibliometric and systematic literature network analysis crossing a decade of studies from 2014 to 2024, uncovering pivotal contributions and identifying prevalent themes in LF and WLC. Although our inquiry reveals an intensifying interest in this field, particularly during the COVID-19 pandemic, it discloses a noticeable research shortfall in empirical explorations of LF's role within various order release methodologies. Addressing this gap, the study brings to light the growing importance of human dynamics, such as learning curves and worker heterogeneity, in optimizing WLC. Synthesizing the most significant scholarly works, the paper points out the urgency of adopting cross-disciplinary approaches to enrich future research attempts.

关键词： Labor Flexibility Workload Control Bibliometric Analysis

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LightArmor: A Lightweight Trusted Operating System Isolation Approach for Mobile Systems 1

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39th International Conference on ICT Systems Security and Privacy Protection (SEC)

作者： Jiang, Nan Zhou, Qihang Jia, Xiaoqi Chen, Jiayun Huang, Qingjia Du, Haichao Chinese Acad Sci Inst Informat Engn Beijing Peoples R China Univ Chinese Acad Sci Sch Cyber Secur Beijing Peoples R China

ISBN: (数字)9783031651755

ISBN: (纸本)9783031651779;9783031651755;9783031651748

Mobile systems extensively leverage Trusted Execution Environments (TEEs) to protect sensitive applications. However, the Trusted Operating System (TOS), as a critical component of TEE, has exposed many vulnerabilities in recent years. With the high privilege of TOS, an attacker who gains control of TOS can take over arbitrary system components, and the privacy of the system can no longer be guaranteed. Although existing methods provide multiple dependent environments to confine the impact into a single TOS instance, they cause substantial memory duplicates of TOS within the resource-constrained TEE. This paper proposes a lightweight isolation approach called LightArmor for TEE-based mobile systems. LightArmor provides protection mechanisms in a tiny context (LArmor) that guarantees the security of other components even if TOS is compromised. Specifically, LightArmor deprives TOS of memory management privilege and provides protection mechanisms to limit TOS's ability to perform privileged operations. To guarantee the security of LArmor, we feature a non-bypassable memory isolation mechanism through virtualizing memory management unit. We evaluate LightArmor in a real-world Hikey960 development board. Experimental results demonstrate that LightArmor can enhance system security with a negligible performance overhead.

关键词： ARM TrustZone Mobile privacy System security TEE

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Analysis of Japanese Tweets on the Russian Military Invasion of Ukraine Focusing on Frequently Used Words and Emotional Expressions 8th

Analysis of Japanese Tweets on the Russian Military Invasion...

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8th International Conference on information technology in Disaster Risk Reduction (ITDRR)

作者： Utsu, Keisuke Oyama, Misaki Uchida, Osamu Tokai Univ Hiratsuka Kanagawa Japan

ISBN: (纸本)9783031640391;9783031640377;9783031640360

The massive military invasion of Ukraine by the Russian forces, which began on February 24, 2022, has had significant global impacts. On the social media platform Twitter (now X), users have been actively posting their thoughts and opinions regarding the invasion. In this study, we collect Japanese posts (tweets) containing the two words "Russia" and "Ukraine" that were posted over an approximately one-year period from the time the invasion began. We analyze the tweets focusing on frequently used words and emotional expressions in the tweets to gain an overview of the statements and the online discussions about the invasion.

关键词： Social media Twitter Russia Ukraine

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