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GAD: A Real-Time Gait Anomaly Detection System with Online Adaptive Learning 39th

GAD: A Real-Time Gait Anomaly Detection System with Online A...

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

作者： Lee, Ming-Chang Lin, Jia-Chun Katsikas, Sokratis Norwegian Univ Sci & Technol NTNU Dept Informat Secur & Commun Technol Gjovik Norway

ISBN: (纸本)9783031651779;9783031651755;9783031651748

Gait anomaly detection is a task that involves detecting deviations from a person's normal gait pattern. These deviations can indicate health issues and medical conditions in the healthcare domain, or fraudulent impersonation and unauthorized identity access in the security domain. A number of gait anomaly detection approaches have been introduced, but many of them require offline data preprocessing, offline model learning, setting parameters, and so on, which might restrict their effectiveness and applicability in real-world scenarios. To address these issues, this paper introduces GAD, a real-time gait anomaly detection system. GAD focuses on detecting anomalies within an individual's three-dimensional accelerometer readings based on dimensionality reduction and Long Short-Term Memory (LSTM). Upon being launched, GAD begins collecting a gait segment from the user and training an anomaly detector to learn the user's walking pattern on the fly. If the subsequent model verification is successful, which involves validating the trained detector using the user's subsequent steps, the detector is employed to identify abnormalities in the user's subsequent gait readings at the user's request. The anomaly detector will be retained online to adapt to minor pattern changes and will undergo retraining as long as it cannot provide adequate prediction. We explored two methods for capturing users' gait segments: a personalized method tailored to each individual's step length, and a uniform method utilizing a fixed step length. Experimental results using an open-source gait dataset show that GAD achieves a higher detection accuracy ratio when combined with the personalized method.

关键词： Gait Real-time Time Series Anomaly Detection LSTM Dimensionality Reduction

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A Voting Approach for Explainable Classification with Rule Learning 20th

A Voting Approach for Explainable Classification with Rule L...

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

作者： Noessig, Albert Hell, Tobias Moser, Georg Univ Innsbruck Dept Comp Sci Tyrol Austria Data Lab Hell GmbH Europastr 2a A-6170 Tyrol Austria

ISBN: (纸本)9783031632259;9783031632235;9783031632228

State-of-the-art results in typical classification tasks are mostly achieved by unexplainable machine learning methods, like deep neural networks, for instance. Contrarily, in this paper, we investigate the application of rule learning methods in such a context. Thus, classifications become based on comprehensible (first-order) rules, explaining the predictions made. In general, however, rule-based classifications are less accurate than state-of-the-art results (often significantly). As main contribution, we introduce a voting approach combining both worlds, aiming to achieve comparable results as (unexplainable) state-of-the-art methods, while still providing explanations in the form of comprehensible rules. Considering a variety of benchmark data sets including a use case of significant interest to insurance industries, we prove that our approach not only clearly outperforms ordinary rule learning methods, but also yields results on a par with state-of-the-art outcomes.

关键词： Rule Learning Explainable Artificial Intelligence Ensemble Learning Voting Machine Learning

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Partner Selection in Additive Manufacturing Networks 43rd

Partner Selection in Additive Manufacturing Networks

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

作者： Chen, Xiaoli Thi, Yen Mai Sprigode, Julia Riedel, Ralph Grzona, Pierre Westsachs Hsch Zwickau Kornmarkt 1 D-08056 Zwickau Germany Tech Univ Chemnitz D-09111 Chemnitz Germany

ISBN: (纸本)9783031716317;9783031716294;9783031716287

Considering the special features of additive manufacturing networks, and with the aim to realize a more efficient functionality of these networks, this work focuses on the issues of partner selection. Based on an in-depth literature review encompassing more than 170 papers, 61 criteria clusters are listed as a general basis. A horizontal and vertical classification of criteria is further conducted, attempting to cover different situations of partner selection in additive manufacturing networks. Here, economic, social, environmental and resilience perspectives are composed as the horizontal view. Key stages of additive manufacturing processes serve as the vertical one. A mathematical algorithm model is further developed to facilitate partner matching. Within the algorithm model, motivations and their relative priorities are considered. This work contributes to enhancing the reliability of partner selection processes, which in the end improves the efficiency of networks' functionality.

关键词： partner selection network additive manufacturing resilience

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Assessing Additive Manufacturing and Digital Inventory Ecosystem in the Oil & Gas Context 43rd

Assessing Additive Manufacturing and Digital Inventory Ecosy...

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

作者： Bang-Olsen, Kristian Turkyilmaz, Ali Univ Stavanger Sch Business & Law Stavanger Norway

ISBN: (纸本)9783031716355;9783031716331;9783031716324

The integration of additive manufacturing and digital inventories presents a paradigm shift in supply chain management, which promises reduced lead times, decreased complexity, lowered inventory storage costs, and improved sustainability. Despite the substantial benefits, the oil and gas (O&G) industry has been slow in adopting this technology. Drawing insights from companies already leveraging AM, this study investigates the critical functions in a DI ecosystem, as well as the challenges and actions required for the effective utilisation of DI within the O&G sector. Through qualitative analysis, the research identifies key factors influencing the adoption and implementation of DI in on-demand manufacturing and inventory management strategies. By understanding the challenges and opportunities associated withAMand DI integration, this study contributes to the discourse on innovative supply chain strategies and provides practical insights for DI ecosystem stakeholders.

关键词： Additive Manufacturing Digital Inventory Ecosystem Oil & Gas Norway

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Designing and Implementing Second Life for Electric Vehicle Batteries: An Integrated Framework to Navigate Ecosystem Actors Towards Circularity 43rd

Designing and Implementing Second Life for Electric Vehicle ...

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

作者： Chirumalla, Koteshwar Dahlquist, Erik Kulkov, Ignat Stefan, Ioana Johansson, Glenn Malardalen Univ Digital & Circular Ind Serv DigiCircle Res Grp Eskilstuna Sweden

ISBN: (纸本)9783031716249;9783031716225;9783031716218

The electrification of vehicles has become a critical means to achieve climate-neutral transportation. As more electric vehicles (EV) are adopted, an increasing number of lithium-ion batteries will be utilized, inevitably experiencing capacity degradation over time. Retaining the value of these retired batteries through remanufacturing, reusing, and repurposing to create a second life holds significant environmental and economic benefits. However, many companies within the battery ecosystem struggle to capitalize on this opportunity due to a lack of business insight and suitable business models tailored to their operational contexts. The purpose of this paper is to propose an integrated framework for designing and implementing second life for the EV batteries that could guide and navigate ecosystem actors towards circularity. This study employed an explorative qualitative inquiry approach, utilizing interviews and workshop methods, involving 15 companies in the EV battery ecosystem. Data collection involved 24 semi-structured interviews and 22 workshops. The framework includes four building blocks, including 1) barriers and enablers, 2) circular business models archetypes and design principles, 3) ecosystem management, and 4) battery performance monitoring. Further, the paper explains criteria influencing the selection of design and implementation of strategies for battery second life. This research contributes to the theory of circular business models and ecosystem management in general, with specific relevance to battery second life and circularity.

关键词： Second-life Batteries Battery Second Life Battery Circularity Circular Business Models Performance Monitoring Circular Ecosystems

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Collaborative communication and Monitoring Ecosystem for Elderly Care 25th

Collaborative Communication and Monitoring Ecosystem for Eld...

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25th ifip WG 5.5 Working Conference on Virtual Enterprises (PRO-VE)

作者： Baldissera, Thais A. De Faveri, Cristiano Oliveira, Maria A. Camarinha-Matos, Luis M. Inst Fed Farroupilha Julio De Castilhos RS Brazil NOVA Univ Lisbon NOVA Sch Sci & Technol Campus Caparica P-2829516 Caparica Portugal NOVA Univ Lisbon NOVA Sch Sci & Technol UNINOVA CTS Campus Caparica P-2829516 Caparica Portugal NOVA Univ Lisbon LASI Campus Caparica P-2829516 Caparica Portugal

ISBN: (纸本)9783031717451;9783031717437;9783031717420

The advancement of technology enables better supporting the independence and well-being of elderly individuals. While there have been notable strides in healthcare solutions, there remains a need for innovative and non-intrusive approaches to enhance support for both the elderly and their caregivers. As a contribution in the context of Collaborative Networks, we present PRO-@GE, a collaborative communication and monitoring ecosystem platform designed to create an environment where different entities, including governmental and non-governmental organizations, individual or cooperative professionals, family members, and caregivers, can work together to offer more integrated and personalized services in elderly care. The functionality of this platform goes beyond providing essential information to individuals adhering to specific routines, such as medication schedules. It also enables families to stay informed about significant events in their elderly loved ones' daily lives and interact with them at any time. Furthermore, PRO-@GE facilitates homecare provision companies in adopting novel business models, enabling the remote management of multiple individuals and ensuring prompt responses to health-related concerns. While technology plays a vital role, it is the collaborative network that truly enhances the social transformation and digital inclusion of the elderly in the modern era. Our contributions include a discussion on potential technologies for active aging, a business strategy, a conceptual model, and the implementation and validation of the proposed platform. Additionally, we discuss future directions involving Generative AI and its potential implementation in PRO-@GE.

关键词： Elderly Care Ecosystem Innovation Aging and technology IoT Devices Generative AI

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A Unified and Energy-Efficient Depthwise Separable Convolution Accelerator 31st

A Unified and Energy-Efficient Depthwise Separable Convoluti...

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31st International Conference on Very Large Scale Integration

作者： Chen, Yi Lou, Jie Lanius, Christian Freye, Florian Loh, Johnson Gemmeke, Tobias Rhein Westfal TH Aachen Chair Integrated Digital Syst & Circuit Design Aachen Germany

ISBN: (纸本)9783031709494;9783031709470;9783031709463

Lightweight convolutional neural networks (CNNs) reduce computational workloads, making them suitable for embedded devices with limited hardware resources compared to conventional CNNs. Depthwise separable convolution (DSC) serves as the fundamental convolution unit of lightweight CNNs. This paper introduces a hardware accelerator tailored for DSC in Application-Specific Integrated Circuit (ASIC), featuring a unified engine supporting both depthwise convolution (DWC) and pointwise convolution (PWC) with high hardware utilization. It ensures 100% processing element (PE) array utilization for DWC and achieves up to 98% utilization for PWC while minimizing latency. By partitioning the input feature map (ifmap) Static Random-Access Memory (SRAM) into three banks, memory access is streamlined. Furthermore, a data scheduling strategy, along with a multiplexed registers (MR) bank based First-In-First-Out (FIFO) system between adjacent PEs, is implemented to maximize data reuse and reduce latency. This work is implemented in a 22 nm FDSOI technology and validated on the CIFAR10 dataset using the MobileNetV1 architecture. The proposed DSC accelerator can operate at 1 GHz, exhibiting an energy efficiency of 5.07 (3.96) TOPS/W and an area efficiency of 519.2 (461.52) GOPS/mm(2) for DWC (PWC) at 0.8 V. Scaling the supply voltage down to 0.5 V increases the energy efficiency to 13.64 TOPS/W for DWC and 10.64 TOPS/W for PWC.

关键词： depthwise separable convolution unified engine hardware accelerator PE utilization energy-efficient design memory access

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Developing a Circular and Resilient information System: A Design Science Approach 43rd

Developing a Circular and Resilient Information System: A De...

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

作者： Farmakis, Timoleon Koukopoulos, Anastasios Zois, Georgios Mourtos, Ioannis Lounis, Stavros Kalaboukas, Kostas Athens Univ Econ & Business Dept Management Sci & Technol ELTRUN E Business Res Ctr Patiss 76 Athens 10434 Greece Grp Maggioli Greek Branch 19 Andrea Papandreou St Maroussi 15124 Greece

ISBN: (纸本)9783031716249;9783031716225;9783031716218

Nowadays, circularity and resiliency are crucial for manufacturing. There is a need for collaboration across the value chain, deployment of critical enablers, and connection of traceability to sustainability and business objectives to accelerate the shift towards circular and resilient production processes. This study reviews circular economy and resilient manufacturing by further analyzing the literature on circular and resilient information systems (IS). We identify key performance indicators for circularity and resiliency and utilize a design science research approach to design the circular and resilient information system (CRIS) conceptual architecture. We further propose leveraging cutting-edge technologies and tools to enable real-time decision-making, monitoring, and certification of materials and products, facilitating sustainable and resilient manufacturing practices. The deployment of CRIS as part of digital transformation efforts represents a strategic move to meet the growing demands for sustainability and resilience.

关键词： Secondary Raw Materials Circular Economy Sustainability Resilience information Systems Digital Transformation Manufacturing

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Gamified Crowd Management Utilizing AR and Computer Vision on the Edge 20th

Gamified Crowd Management Utilizing AR and Computer Vision o...

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

作者： Koulouris, Dionysios Menychtas, Andreas Maglogiannis, Ilias Univ Piraeus Dept Digital Syst Piraeus Greece

ISBN: (纸本)9783031632259;9783031632235;9783031632228

The experience of visitors in exhibition areas is a key factor for the success of the endeavor and it can be considerably enhanced by using modern digital technologies and tools. Among others, the experience is affected by the number of visitors in the exhibition area, making the indoor crowd management a challenging topic which cross cuts several scientific areas. Various methods have been developed to overcome this issue especially in museum exhibitions where even a few visitors beyond a certain threshold may completely obstruct the view of the exhibits and ruin the experience. Latest technological advancements include the ability of mobile devices and microprocessors to perform even heavier tasks in executing complex algorithms and data processing by utilizing the state of the art sensors and hardware components of the mobile devices. In this work we present a crowd management algorithm and a prototype system for a museum exhibition which operates at the edge of the network utilizing the mobile devices as execution environments. As part of the prototype, we propose the integration of a series of serious games that are supplementary to the exhibits and have the goal of delaying the user before continuing to a next sector of the exhibition, acting in parallel as digital tools for education and information sharing for the various exhibits. The crowd monitoring is achieved by utilizing the localization ability of Augmented Reality-AR with Cloud functionality for mobile phones. Moreover, AR can be used in the aforementioned serious games to offer a seamless experience by combining the exhibition site with additional content. Algorithms for "visitors flow management", "visitor routing" and "room exploration" are introduced and extensively described and a Cloud AR Management Platform is developed for manipulating all the system aspects.

关键词： Augmented reality

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Consideration of App Store-Related Cases and New Legislations in the EU, the US and Japan 16th

Consideration of App Store-Related Cases and New Legislation...

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16th ifip International Conference on Human Choice and Computers (HCC)

作者： Nakashima, Mika Chuo Univ Fac Global Informat Tokyo Japan

ISBN: (纸本)9783031675379;9783031675355;9783031675348

Currently, investigations, lawsuits, and the introduction of new legislation, including new legislative proposals for ex-ante regulations concerning app stores on digital platforms, are unfolding across various jurisdictions worldwide. In the EU, the European Commission investigated Apple's app store. The Digital Markets Act-a comprehensive ex-ante regulation for digital platforms-came into effect on May 2, 2023, encompassing regulations specific to app stores. In the US, Epic Games filed a lawsuit against Apple and Google, and a bill known as the Open App Markets Act, targeting app stores, was proposed on June 11, 2021. In Japan, the Fair Trade Commission conducted an inspection of Apple, and Apple and Google were designated as app store-operating companies under the Act on Improving Transparency and Fairness of Digital Platforms on April 1, 2021. Moreover, on June 16, 2023, the Digital Market Competition Council, established under the Cabinet, publicly released the Competition Assessment of the Mobile Ecosystem Final Report, signaling a shift toward the legislation of ex-ante regulations for app stores. This paper explores app store-related cases and new legislation (or proposed legislation) in Japan, the US, and Europe, with the aim of examining the interpretation of Japan's Antimonopoly Act and identifying optimal approaches to new legislation.

关键词： App Store Mobile Ecosystem Digital Platform DMA Open App Markets Act

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