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11th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering, AIEEE 2024

作者： Meijers, Ints Fraimans, Mihails Riekstins, Aigars Riga Technical University Institute of Applied Computer Systems Riga Latvia

ISBN: (纸本)9798331527761

This article focuses on the medical federated machine learning system where clients are portable IoT devices. Currently, multiple limitations complicate the implementation and use of similar systems. In this article, we will address the problem of communication overhead [1] considering the utilization of IoT devices, which typically rely on wireless communication technologies for data transfer, and the size of this data transfer, which usually is larger than double the size of the neural network model being used (might reach hundreds of megabytes). To mitigate the described challenge, we propose a solution based on Software Define Networks, which uses a set of routers and a server. The provided solution will lower the risk of unexpected connection losses and other network errors producing communication overhead in the described system, thus boosting the overall system performance during communication and providing other advantages regarding the quality of the provided communication link. © 2024 IEEE.

关键词： Data transfer

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Leveraging the IPv6 Flow Label for Enhanced Routing and Security in High-Performance Context-Aware systems 11

Leveraging the IPv6 Flow Label for Enhanced Routing and Secu...

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11th IEEE Workshop on Advances in Information, Electronic and Electrical Engineering, AIEEE 2024

作者： Meijers, Ints Riga Technical University Institute of Applied Computer Systems Riga Latvia

ISBN: (纸本)9798331527761

The IPv6 Flow Label is a designated part of the IPv6 header intended to enhance packet processing in modern networking environments by facilitating the classification and management of traffic flows without extensive packet inspection. This paper provides a comprehensive analysis of the IPv6 Flow Label, detailing its specification, potential use cases, and practical challenges in implementation. We examine key RFCs, including RFC 6294, RFC 6437, and RFC 6438, to outline the theoretical framework and operational guidelines set for leveraging the Flow Label in routing protocols such as Equal Cost Multipath (ECMP) [1] and Link Aggregation (LAG) in network tunnels. The discussion extends to the implications of the Flow Label on network performance, its integration within security paradigms such as IPsec, and the broader impacts on network efficiency and security. By synthesizing these elements, the paper aims to elucidate the underutilized potential of the Flow Label in IPv6. It proposes a pathway toward its effective deployment in achieving more refined traffic management and security enforcement in next-generation IP networks. © 2024 IEEE.

关键词： Network security

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Competing with autonomous model vehicles:a software stack for driving in smart city environments

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Autonomous Intelligent systems 2024年第1期4卷 166-178页

作者： Julius Bächle Jakob Häringer Noah Köhler Kadir-KaanÖzer Markus Enzweiler Reiner Marchthaler Institute for Intelligent Systems Faculty of Computer Science and EngineeringEsslingen University of Applied SciencesFlandernstraße 101Esslingen am Neckar73732Germany

This article introduces an open-source software stack designed for autonomous 1:10 scale model *** developed for the Bosch Future Mobility Challenge(BFMC)student competition,this versatile software stack is applicable to a variety of autonomous driving *** stack comprises perception,planning,and control modules,each essential for precise and reliable scene understanding in complex environments such as a miniature smart city in the context of *** the limited computing power of model vehicles and the necessity for low-latency real-time applications,the stack is implemented in C++,employs YOLO Version 5 s for environmental perception,and leverages the state-of-the-art Robot Operating System(ROS)for inter-process *** believe that this article and the accompanying open-source software will be a valuable resource for future teams participating in autonomous driving student *** work can serve as a foundational tool for novice teams and a reference for more experienced *** code and data are publicly available on GitHub.

关键词： Autonomous model vehicle Software architecture Embedded real-time systems Bosch Future Mobility Challenge Autonomous driving

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Points of interest in the city of Barcelos in Portugal through augmented reality

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Internet of Things and Cyber-Physical systems 2024年第1期4卷 40-48页

作者： Pereira, Miguel Silva, João Carlos Pinheiro, Marisa Carvalho, Sandro Santos, Gilberto Polytechnic Institute of Cávado and Ave Barcelos Portugal 2Ai – Applied Artificial Intelligence Laboratory Barcelos Portugal INESC TEC - Institute for Systems and Computer Engineering Porto Portugal LIACC - Laboratory of Artificial Intelligence and Computer Science Porto Portugal

Barcelos is a historic city in Portugal with many tourist attractions, attracting more and more visitors who come to the city with the aim of exploring it. The main objective of this article is to boost tourism in the city of Barcelos, specifically highlighting tourist, historical and leisure spots, based on the development of a mobile application using augmented reality technologies and geolocation. This application intends to allow the users to know historical points of interest in Barcelos, as well as interact with a certain point. The results of this investigation were evaluated by testing the application by end users, with the aim of identifying whether the application meets their needs, in particular the promotion of tourist and historical points. © 2023

关键词： Augmented reality

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Towards Simplifying the Use of Self-Services 16

Towards Simplifying the Use of Self-Services

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Joint of 16th International Baltic Conference on Digital Business and Intelligent systems Conference Forum and Doctoral Consortium, Baltic-DB and IS-Forum-DC 2024

作者： Kalnins, Kaspars Kirikova, Marite Institute of Applied Computer Systems Riga Technical University 6A Ķīpsalas Street RigaLV-1048 Latvia

While largely applied to different platforms, self-service intelligence (or self-service analytics) still faces challenges in its practical usage. As the amount of data and types of analytics has increased, a new requirement emerges to store existing analytics results so that they can be accumulated and reused. Therefore, it is necessary to develop a method to provide a process where the analytics results obtained from the platform are automatically saved to the database so that users without technical knowledge can implement this with a low-code and self-service BI approach. In this work, various literature sources are studied, resulting in a feature list for implementing a low-code approach;and a process model is developed for the method. The paper focuses on Oracle BI as a platform that allows users to analyse data of different nature. © 2023 Copyright for this paper by its authors.

关键词： low-code Oracle BI self-service self-service intelligence

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Ontology for data science research results reuse

Ontology for data science research results reuse

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Joint of the BIR 2024 Workshops and Doctoral Consortium, BIR-WS 2024

作者： Kumarasinghe, Aritha Kirikova, Marite Institute of Applied Computer Systems Riga Technical University 6A Kipsalas Street RigaLV-1048 Latvia

Data Science is the science that relates to the extraction of knowledge and information from data. As the amount of data we produce increases, data science projects have become a very popular endeavor in recent years, accompanied by an increased interest in research relating to data science resources such as the data sources, algorithms, technologies, and visualizations as well as the application domains of these data science resources. The amalgamation of the results gained by data science projects can be a complex process that can be time and labor-intensive. This research seeks to reduce the project complexity by proposing an ontology that can represent data science (research) project based on domain-specific (data science) project attributes that can represent all conceivable aspects of a data science project. © 2024 Copyright for this paper by its authors.

关键词： Data Science Ontology Project Attributes Research Results Reuse

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Automated Error Detection Through Specialized Task Implementation 4th

Automated Error Detection Through Specialized Task Implement...

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4th International Conference on Pattern Recognition and Artificial Intelligence, ICPRAI 2024

作者： Masanti, Corina Witschel, Hans-Friedrich Riesen, Kaspar Institute of Computer Science University of Bern Bern3012 Switzerland Institute for Informations Systems University of Applied Sciences and Arts Northwestern Switzerland Olten4600 Switzerland

ISBN: (纸本)9789819787043

The present paper introduces a multilingual data set of erroneous and correct text sentences. The novel data set marks a significant advancement from an existing corpus by incorporating additional samples and refining its overall structure. The primary purpose of this data set is to support the research and development of automated error detection systems, especially in the multilingual setting where high-quality data sets are scarce. A distinctive feature of our data set is that it incorporates only incorrect sentences and their corresponding correct versions. These sentences are sourced from a variety of texts written by native speakers from different industries, such as pharmaceuticals, banking, insurance, retail, communications, and more. Each sentence in the data set has been annotated by professional proofreaders. The paper includes a comprehensive error analysis, where we classify and scrutinize the different types of errors within the data set. By categorizing and analysing the errors in the data set, we aim to identify patterns and common issues. Additionally, we conduct a thorough experimental evaluation using a well-established language model. Our analysis assesses the classification accuracy measured over all errors and the accuracy of each specific error type. Interestingly, our results show that while some error types can be detected with an accuracy exceeding 80%, it turns out that the recognition of other error types is very difficult to solve. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Benchmark Data Set Document Analysis Error Detection

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Simplifying road to defining a scientific problem and hypothesis through gamified and storytelling-enhanced teaching of requirements engineering

Simplifying road to defining a scientific problem and hypoth...

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Joint of the BIR 2024 Workshops and Doctoral Consortium, BIR-WS 2024

作者： Lace, Ksenija Kirikova, Marite Institute of Applied Computer Systems Faculty of Computer Science and Information Technology Riga Technical University 6A Kipsalas Street RigaLV-1048 Latvia

The transition from structured coursework to independent research poses significant challenges for students, particularly in mastering the design science method required for thesis work. To address this issue, the paper proposes implementing gamified learning strategies within a Requirements Engineering course to enhance student readiness for thesis projects. A detailed course outline is provided, demonstrating how gamification, storytelling, and the design science method can be effectively embedded in the curriculum. By integrating these multifaceted teaching methods, the course aims to manage the complexity of preparing students for independent research and thesis writing. The course design refers to Bloom's taxonomy to ensure comprehensive learning outcomes across multiple cognitive levels, thereby fostering a deeper understanding and application of the design science method in engineering education. © 2024 Copyright for this paper by its authors.

关键词： Requirements engineering

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Integrating Data Protection at Interface of RISC-V Processor Core

Integrating Data Protection at Interface of RISC-V Processor...

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2024 Panhellenic Conference on Electronics and Telecommunications, PACET 2024

作者： Mach, Jan Kohutka, Lukas Cicak, Pavel Slovak University of Technology Institute of Computer Engineering and Applied Informatics Slovakia Information Systems and Software Engineering Slovak University of Technology Institute of Informatics Slovakia

ISBN: (纸本)9798350318845

Fulfilling increasing performance demands of space and automotive applications can be problematic as high dependability is required. Memory is one of the most radiationsensitive parts, so it is often protected with information redundancy. This paper describes an integration of error correction and detection techniques into the interface of RISC-V processor to protect the data stored in the memory. We also provide a hardware-software interface for reporting errors and software routines for correcting data in memory. Our solution has a negligible impact (-3.9%) on the overall performance of the core with a small area and power consumption overhead. © 2024 IEEE.

关键词： Error correction

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Nanoimprint lithography-assisted block copolymer self-assembly for hyperfine fabrication of magnetic patterns based on L10-FePt nanoparticles

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Science China Chemistry 2025年第5期68卷 2027-2034页

作者： Jie Zhang Yi Chen Guijun Li Zelin Sun Zhengong Meng Wai-Yeung Wong Department of Applied Biology and Chemical Technology and Research Institute for Smart Energy The Hong Kong Polytechnic University The Hong Kong Polytechnic University Shenzhen Research Institute Division of Integrative Systems and Design and Department of Electronic and Computer EngineeringThe Hong Kong University of Science and Technology School of Flexible Electronics (Future Technology) and Institute of Advanced Materials (IAM) Nanjing Tech University

L10-FePt-type bit-patterned media has provided a promising alternative for ultrahigh-density magnetic recording systems in the current digital era, but rapid fabrication of magnetic patterns with hyperfine bit islands is still challenging, especially with the target for miniaturization and scalable production simultaneously. Herein, Fe,Pt-containing block copolymers were utilized as single-source precursors for solution-processable patterning and subsequent generation of the demanding magnetic FePt dots by in situ pyrolysis. High-throughput nanoimprint lithography was initially employed to fabricate the predefined bit cells precisely,and then the intrinsic self-assembly of phase-separated block copolymers further drove the formation of accurate bit *** from the synergistic effect of top-down lithographic approach and bottom-up self-assembly, the customizable patterns could be achieved for large-scale mass production in targeted areas, but high-density isolated dots could also be accurately aligned along the patterned features after subsequent self-assembly. This reliable strategy would provide a good avenue to precisely construct ultrahigh-density magnetic data storage devices.

关键词： organometallic precursor magnetic nanoparticles block copolymer self-assembly nanoimprint lithography

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