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Digital Product Passports as Enablers of Digital Circular Economy: a Framework based on Technological Perspective

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TechRxiv

TechRxiv 2023年

作者： Voulgaridis, Konstantinos Lagkas, Thomas Angelopoulos, Constantinos Marios Boulogeorgos, Alexandros-Apostolos A. Argyriou, Vasileios Sarigiannidis, Panagiotis Department of Computer Science International Hellenic University Kavala Campus 65404 Greece Department of Computing & Informatics Bournemouth University PooleBH125BB United Kingdom Department of Electrical and Computer Engineering University of Western Macedonia Kozani50100 Greece Department of Networks and Digital Media Kingston University Kingston upon ThamesKT1 2EE United Kingdom

Taking into consideration the rise of Industry 5.0 (I5.0), more and more solutions are being developed, aiming towards increased environmental consciousness through advanced technologies, and human centricity. Digital Product Passports (DPPs) constitute a novel technological solution that can enable the transition toward a digital Circular Economy (CE) and sustainable I5.0, as digital identities that are assigned to physical products, capable of tracing their lifecycles through data such as their technical specifications, usage instructions, and repair and maintenance information. Although the respective research community has started providing a thorough analysis of DPPs potential to constitute a CE enabler, their technical requirements are still unclear. As part of our contribution to this issue, we propose a fundamental CE framework with integrated DPP characteristics, capable of being adapted in different sector stages for the generation and distribution of DPPs both for stakeholders and consumers. The corresponding solution is further supported through a systematic literature review that follows a technological approach to the DPPs implementation. © 2023, CC BY.

关键词： Life cycle

Total controllability analysis discovers explainable drugs for Covid-19 treatment

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arXiv 2022年

作者： Wei, Xinru Pan, Chunyu Zhang, Xizhe Zhang, Weixiong Early Intervention Unit Department of Psychiatry The Affiliated Brain Hospital of Nanjing Medical University Jiangsu Nanjing210029 China School of Biomedical Engineering and Informatics Nanjing Medical University Jiangsu Nanjing210001 China School of Computer Science and Engineering Northeastern University Shenyang China Department of Health Technology and Informatics Department of Computing The Hong Kong Polytechnic University Hong Kong Department of Computer Science and Engineering Department of Genetics Washington University in St. Louis St. LouisMO United States

Network medicine has been actively pursued for drug repurposing, particularly lately for combating the Covid-19 pandemic. One such approach adopts structural controllability, a theory for controlling a network (the cell). Motivated to protect, rather than control, the cell from viral infections, we extended this theory to total structural controllability and introduced the concept of control hubs. Perturbing any control hub may render the cell uncontrollable by exogenous stimuli like viral infections, so control hubs are ideal drug targets. We developed an efficient algorithm for finding all control hubs and applied it to the largest homogenous network of human protein-protein interactions and interactions between human and SARS-Cov-2 proteins. We identified 65 druggable control hubs enriched with antiviral functions and used them to prioritize drugs into four major categories: antiviral and anti-inflammatory agents, drugs on central nerve systems, dietary supplements, and hormones that help boost immunity. The functions of these druggable control hubs and their corresponding drugs validated our new method. One of the identified drugs is Fostamatinib, which was originally approved for chronic immune thrombocytopenia and is currently in a clinical trial for treating Covid-19. As shown in a preclinical trial, Fostamatinib can lower mortality, shorten the length of ICU stay, and reduce the disease severity of hospitalized Covid-19 patients. Fostamatinib targets 10 control hubs, 9 of which are kinases playing key roles in cell proliferation, differentiation, and programmed death. One of these kinases is RIPK1 which directly interacts with the RNA-dependent RNA polymerase of SARS-CoV-2. The functions and biological processes that the druggable control hubs were involved with have not only revealed the diverse cellular responses during SARS-CoV-2 infection but provided deep insight into the therapeutic mechanisms of the drugs for Covid-19 therapy, making the new approach

关键词： Enzymes

On Turán-type problems and the abstract chromatic number

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arXiv 2024年

作者： Gerbner, Dániel Karim, Hilal Hama Kucheriya, Gaurav HUN-REN Alfréd Rényi Institute of Mathematics Hungary Department of Computer Science and Information Theory Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Műegyetem rkp. 3. BudapestH-1111 Hungary Department of Applied Mathematics Charles University Prague Czech Republic

In 2020, Coregliano and Razborov introduced a general framework to study limits of combinatorial objects, using logic and model theory. They introduced the abstract chromatic number and proved/reproved multiple Erdős-Stone-Simonovits-type theorems in different settings. In 2022, Coregliano extended this by showing that similar results hold when we count copies of Kt instead of edges. Our aim is threefold. First, we provide a purely combinatorial approach. Second, we extend their results by showing several other graph parameters and other settings where Erdős-Stone-Simonovits-type theorems follow. Third, we go beyond determining asymptotics and obtain corresponding stability, supersaturation, and sometimes even exact *** Codes 05C35 © 2024, CC BY.

关键词： Number theory

Non-Orthogonal Multiple Access Based Multi-Objective Optimization in Emergency Task Offloading

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Non-Orthogonal Multiple Access Based Multi-Objective Optimiz...

IEEE Conference on Wireless Communications and Networking

作者： Caijuan Chen Chaofeng Zhang Gaolei Li Yuchen Liu The Information Systems Architecture Science Research Division National Institute of Informatics Tokyo Japan Advanced Institute of Industrial Technology Tokyo Japan School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Department of Computer Science NC State University North Carolina US

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

The escalating frequency of geological disasters, local conflicts, and public health crises necessitates robust emergency communication systems within Internet of Things (IoT) frameworks to ensure public safety. Employing Power-Domain NOMA (PD-NOMA) and Successive Interference Cancellation (SIC) enables effective multi-device communication that is crucial for emergency responses. However, the practical implementation of NOMA technologies in emergency scenarios is hindered by existing resource constraints and the requirement of prioritizing critical emergency information. To address these limitations, we propose a multi-objective optimization-based NOMA framework to maximize network throughput while ensuring quality of service (QoS) and energy efficiency. This framework incorporates a novel communication grouping algorithm based on queue penalty optimization and an Actor-Critic-based dynamic updating algorithm for multiple resource allocation. Our study proposes a practical approach to enhance emergency communication in disaster areas, ensuring efficient and reliable network performance under various constraints.

关键词： NOMA Interference cancellation Heuristic algorithms Disasters Quality of service Throughput Dynamic scheduling Internet of Things Resource management Optimization

Analysis of the Implementation of Information Exchange Algorithms in Social Networks 10

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Analysis of the Implementation of Information Exchange Algor...

10th Mediterranean Conference on Embedded Computing, MECO 2021

作者： Kuptsov, M.I. Minaev, V.A. Yablochnikov, S.L. Yablochnikova, I.O. Dzobelova, V.B. Ryazan State Radio Engineering University Department of Higher Mathematics Ryazan Russia Ryazan State Radio Engineering University Department of Computer Engineering Ryazan Russia Life Safety and Power Supply Moscow Technical University of Communications and Informatics Department of Ecology Moscow Russia Russian New University Department of Finance and Banking Moscow Russia North-Ossetian State University Department of Accounting and Taxation Vladikavkaz Russia

ISBN: (纸本)9780738133614

The empirical distributions of various statistical indicators that influence the implementation of algorithms for information exchange between users of the social network •Vkontakte• are analyzed. The authors of the article synthesized regression models that can be used to predict the dynamics of the number of users of the social network •Vkontakte•, their activity, as well as other parameters that characterize the functioning and evolution of various communities of computer social networks. © 2021 IEEE.

关键词： Information dissemination

Automated Recognition of Structures in Scanning Electron Microscopy Images Using Specialized Algorithms in MATLAB and Python: An Overview

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Automated Recognition of Structures in Scanning Electron Mic...

International Conference on Electronics, computers and Artificial Intelligence (ECAI)

作者： Valentina Marascu Marius Iulian Mihailescu Stefania Loredana Nita Marius Rogobete Scientific Research Center in Mathematics and Informatics Faculty of Engineering and Computer Science “Spiru Haret” University Bucharest Romania Low Temperature Plasma Department National Institute for Laser Plasma and Radiation Physics Bucharest Romania Department of Computers and Cybersecurity “Ferdinand I” Military Technical Academy Bucharest Romania Telematics Harman International Bucharest

ISBN: (数字)9798350371154

ISBN: (纸本)9798350371161

Applied physics serves as the bridge connecting theoretical principles with their practical implementations in everyday situations. informatics plays a crucial role in this subject because of its comprehensive and intricate capacity to simulate and forecast physical phenomena. This research highlights the indispensability of computer-based algorithms for analyzing the Scanning Electron Images of the obtained materials, particularly materials synthesized by laboratory plasma. Herein, the conducted research highlights the advantages of image processing via Matlab and Python algorithms, in order to analyze the synthesized structures. This approach can offer perspectives on physical processes by employing image processing techniques. The approaches and future directions were identified.

关键词： Scanning electron microscopy Software algorithms Tungsten Process control Software Oxidation Plasmas

ECT: Fine-grained Edge Detection with Learned Cause Tokens

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arXiv 2023年

作者： Xu, Shaocong Chen, Xiaoxue Zheng, Yuhang Zhou, Guyue Chen, Yurong Zha, Hongbin Zhao, Hao School of Informatics Xiamen University Xiamen361005 China Tsinghua University Beijing100084 China Department of Computer Science and Technology Tsinghua University Beijing100084 China School of Mechanical Engineering and Automation Beihang University Beijing100084 China School of Electronic Engineering and Computer Science Peking University Beijing100084 China Intel Labs Beijing100026 China

In this study, we tackle the challenging fine-grained edge detection task, which refers to predicting specific edges caused by reflectance, illumination, normal, and depth changes, respectively. Prior methods exploit multi-scale convolutional networks, which are limited in three aspects: (1) Convolutions are local operators while identifying the cause of edge formation requires looking at far away pixels. (2) Priors specific to edge cause are fixed in prediction heads. (3) Using separate networks for generic and fine-grained edge detection, and the constraint between them may be violated. To address these three issues, we propose a two-stage transformer-based network sequentially predicting generic edges and fine-grained edges, which has a global receptive field thanks to the attention mechanism. The prior knowledge of edge causes is formulated as four learnable cause tokens in a cause-aware decoder design. Furthermore, to encourage the consistency between generic edges and fine-grained edges, an edge aggregation and alignment loss is exploited. We evaluate our method on the public benchmark BSDS-RIND and several newly derived benchmarks, and achieve new state-of-the-art results. Our code, data, and models are publicly available at https://***/Daniellli/***. Copyright © 2023, The Authors. All rights reserved.

关键词： Forecasting

VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images

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arXiv 2022年

作者： Oleksiienko, Illia Nousi, Paraskevi Passalis, Nikolaos Tefas, Anastasios Iosifidis, Alexandros Department of Electrical and Computer Engineering Aarhus University Finlandsgade Aarhus8200 Denmark Department of Informatics Aristotle University of Thessaloniki University Campus Thessaloniki54124 Greece Department of Chemical Engineering Aristotle University of Thessaloniki University Campus Thessaloniki54124 Greece

In this paper, we propose a novel voxel-based 3D single object tracking (3D SOT) method called Voxel Pseudo Image Tracking (VPIT). VPIT is the first method that uses voxel pseudo images for 3D SOT. The input point cloud is structured by pillar-based voxelization, and the resulting pseudo image is used as an input to a 2D-like Siamese SOT method. The pseudo image is created in the Bird’s-eye View (BEV) coordinates, and therefore the objects in it have constant size. Thus, only the object rotation can change in the new coordinate system and not the object scale. For this reason, we replace multi-scale search with a multi-rotation search, where differently rotated search regions are compared against a single target representation to predict both position and rotation of the object. Experiments on KITTI [1] Tracking dataset show that VPIT is the fastest 3D SOT method and maintains competitive Success and Precision values. Application of a SOT method in a real-world scenario meets with limitations such as lower computational capabilities of embedded devices and a latency-unforgiving environment, where the method is forced to skip certain data frames if the inference speed is not high enough. We implement a real-time evaluation protocol and show that other methods lose most of their performance on embedded devices, while VPIT maintains its ability to track the object. © 2022, CC BY.

关键词： Object detection

Development of Scientific Basis for Decision Support by Experts of the Situational Center Under Conditions of Uncertainty of Input Information in Emergency Situations 8

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Development of Scientific Basis for Decision Support by Expe...

8th IEEE International Conference on Problems of Infocommunications, Science and Technology, PIC S and T 2021

作者： Tiutiunyk, Olha Ruban, Igor Tiutiunyk, Vadym Simon Kuznets Kharkiv National University of Economics Department of Informatics And Computer Engineering Kharkov Ukraine Kharkiv National University of Radio Electronics Department of Electronic Computers Kharkov Ukraine National University of Civil Defence of Ukraine Department of Management And Organization of Civil Defence Kharkov Ukraine

ISBN: (纸本)9781665406826

Considering the uncertainty of the parameters affecting the conditions for the normal functioning of the territory of the state, it is proposed to create an effective information and analytical subsystem to manage the processes of prevention and elimination of emergencies when integrated into the existing civil protection system vertically from the object to the state levels, various functional elements of the territorial monitoring system situations and systems of situational centers. In conditions of uncertainty of the input information for experts of the system of situational centers, there is a methodology for substantiating optimal anti-crisis solutions to provide an appropriate level of life safety of the state in emergency situations of various nature. © 2021 IEEE.

关键词： Decision support systems