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Digitizing a Distributed Textile Production Process using Industrial Internet of Things: A Use-Case 4

Digitizing a Distributed Textile Production Process using In...

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4th ieee International conference on Industrial Cyber-Physical Systems (ICPS)

作者： Rath, Michael Gannouni, Aymen Luetticke, Daniel Gries, Thomas Rhein Westfal TH Aachen Chair Informat Management Mech Engn Aachen Germany Rhein Westfal TH Aachen Inst Text Technol Aachen Germany

ISBN: (纸本)9781728162072

Many textile production chains are highly fragmented and distributed over several locations and countries. Textile machinery usually relies on proprietary software and hardware that cannot be sufficiently interlinked. As a result, machine and product data is not comprehensively collected and analyzed across the whole production process. Thus, the potential of Smart Manufacturing and Industry 4.0 is often not fully exploited in the textile industry. In recent years, vendor-independent machine to machine communication protocols and standards, such as OPC UA and MQTT have been suggested for the digitization of production facilities by integrating or replacing these proprietary systems. In contrast, there is still a lack of publicly available working demonstrations and exemplary implementations in the textile context. In this paper, we use Industrial Internet of Things technologies to design an open digital infrastructure for textile manufacturing. We develop our approach based on a production use-case that is distributed across multiple locations. By machine networking and integrating information flows from the shop floor to the cloud, we lay the basis for getting most value out of process-wide collected data. Our suggested infrastructure supports the use of Machine Learning techniques to enable various Smart Manufacturing applications, such as Predictive Maintenance and Predictive Quality.

关键词： Industrial IoT Communication architectures OPC UA Textile Manufacturing

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FBLAS: Streaming Linear Algebra on FPGA

FBLAS: Streaming Linear Algebra on FPGA

引用

International conference on High Performance Computing, networking, Storage and Analysis (SC)

作者： De Matteis, Tiziano Licht, Johannes de Fine Hoefler, Torsten Swiss Fed Inst Technol Dept Comp Sci Zurich Switzerland

ISBN: (纸本)9781728199986

Spatial computing architectures pose an attractive alternative to mitigate control and data movement overheads typical of load-store architectures. In practice, these devices are rarely considered in the HPC community due to the steep learning curve, low productivity, and the lack of available libraries for fundamental operations. High-level synthesis (HLS) tools are facilitating hardware programming, but optimizing for these architectures requires factoring in new transformations and resources/performance trade-offs. We present FBLAS, an open-source HLS implementation of BLAS for FPGAs, that enables reusability, portability and easy integration with existing software and hardware codes. FBLAS' implementation allows scaling hardware modules to exploit on-chip resources, and module interfaces are designed to natively support streaming on-chip communications, allowing them to be composed to reduce off-chip communication. With FBLAS, we set a precedent for FPGA library design, and contribute to the toolbox of customizable hardware components necessary for HPC codes to start productively targeting reconfigurable platforms.

关键词： Spatial architectures high level synthesis hard-ware library

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ShoBeVODSDT: Shodan and Binary Edge based vulnerable open data sources detection tool or what Internet of Things Search Engines know about you 2

ShoBeVODSDT: Shodan and Binary Edge based vulnerable open da...

引用

2nd International conference on Intelligent Data Science Technologies and Applications (IDSTA)

作者： Daskevics, Artjoms Nikiforova, Anastasija Univ Latvia Fac Comp Riga Latvia Univ Latvia Fac Comp Programming Dept Innovat Informat Technol Lab Riga Latvia

ISBN: (纸本)9781665421805

The paper proposes a tool for non-intrusive testing of open data sources for detecting their vulnerabilities, called ShoBeVODSDT (Shodan- and Binary Edge-based vulnerable open data sources detection tool). The use of open Source Intelligence (OSINT) tools, more precisely the Internet of Things Search Engines (IoTSE), allows the tool to inspect a list of predefined data sources, such as MySQL, PostgreSQL, MongoDB, Redis, Elasticsearch, CouchDB, Cassandra and Memcached, on their vulnerabilities and their extent, i.e. is the data source visible outside the organization? what data can be gathered from open data sources (if any) and what is their "value" for attacker and fraudsters? Whether these data can pose the risks to organization using them to deploy an attack? This allows both a comprehensive analysis of unprotected data sources, falling into a list of predefined data sources, or a specific IP or IP range to examine what can be seen from the outside of the organization about the data source in use. While the tool covers 8 data sources representing both rational databases, NoSQL databases and data stores, it is designed to be easily scalable, so, the list of data sources can be extended by third-parties by adapting the code made available. While some data sources can be described as complying with the security-by-design principle, some of them face serious challenges in this respect, including some databases already being compromised.

关键词： Internet of Things Search Engine (IoTSE) OSINT open Source Intelligence Shodan Binary Edge Internet of Things IoT cybersecurity relational database NoSQL vulnerability

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A Review of Agency architectures in Interactive Drama Systems

A Review of Agency Architectures in Interactive Drama System...

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ieee conference on Games (ieee CoG)

作者： Moallem, Jonathan D. Raffe, William L. Univ Technol Sydney Fac Engn & Informat Technol Sydney NSW Australia

ISBN: (纸本)9781728145334

This paper provides a review of the interactive drama field, attempting to create a taxonomy for classifying system affordances for emergence and authorial control, referred to in this paper as "agency architecture". The classification of interactive drama systems according to a spectrum of agency architectures, helps to identify open questions in the field, providing a better understanding of which architectures would benefit from greater attention from the research community. In this paper, several key interactive drama systems from the field's literature are categorised by agency architecture. This is followed by a summary and analysis of their architectural classifications, alongside justifications for their assigned categories. It is then concluded with the identification of a number of research gaps, revealed by the compiled classifications, that highlight potential future research questions.

关键词： interactive drama system interactive drama agency architecture review emergence

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PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization

PracticalDG: Perturbation Distillation on Vision-Language Mo...

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conference on Computer Vision and Pattern Recognition (CVPR)

作者： Zining Chen Weiqiu Wang Zhicheng Zhao Fei Su Aidong Men Hongying Meng The school of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System and Network Culture China Key Laboratory of Interactive Technology and Experience System Ministry of Culture and Tourism Beijing China Brunel University Uxbridge

ISBN: (数字)9798350353006

ISBN: (纸本)9798350353013

Domain Generalization (DG) aims to resolve distribution shifts between source and target domains, and current DG methods are default to the setting that data from source and target domains share identical categories. Nevertheless, there exists unseen classes from target domains in practical scenarios. To address this issue, open Set Domain Generalization (OSDG) has emerged and several methods have been exclusively proposed. However, most existing methods adopt complex architectures with slight improvement compared with DG methods. Recently, vision-language models (VLMs) have been introduced in DG following the fine-tuning paradigm, but consume huge training overhead with large vision models. Therefore, in this paper, we innovate to transfer knowledge from VLMs to lightweight vision models and improve the robustness by introducing Perturbation Distillation (PD) from three perspectives, including Score, Class and Instance (SCI), named SCI-PD. Moreover, previous methods are oriented by the benchmarks with identical and fixed splits, ignoring the divergence between source domains. These methods are revealed to suffer from sharp performance decay with our proposed new benchmark Hybrid Domain Generalization (HDG) and a novel metric H2-CV, which construct various splits to comprehensively assess the robustness of algorithms. Extensive experiments demonstrate that our method outperforms state-of-the-art algorithms on multiple datasets, especially improving the robustness when confronting data scarcity.

关键词： Measurement Training Computer vision Costs Perturbation methods Computational modeling Benchmark testing

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On Security-aware Multilayer Planning for IP-over-Optical networks with OTN Encryption

On Security-aware Multilayer Planning for IP-over-Optical Ne...

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ieee International conference on Communications (ieee ICC) / Workshop on NOMA for 5G and Beyond

作者： Song, Man Zhu, Jing Zhou, Fen Zhu, Zuqing Univ Sci & Technol China Sch Informat Sci & Technol Hefei Peoples R China Inst Super Elect Paris LISITE Lab Paris France

ISBN: (纸本)9781728150895

We study how to achieve cost-effective and security-aware multilayer planning for an optical transport network (OTN) that covers both trusted and untrusted zones and has the option to choose encryption solution deployment (ESD) architectures based on traffic condition. We first formulate an integer linear programming (ILP) model to solve the optimization exactly, and then propose a novel heuristic based on collapsed auxiliary graphs (CAGs) to have improved time-efficiency.

关键词： Multilayer network planning Optical transport networking (OTN) OTN encryption Physical-layer security

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Accelerating Model Solving for Integrated Optimization of Timetabling and Vehicle Scheduling based on Graph Convolutional network

Accelerating Model Solving for Integrated Optimization of Ti...

引用

International conference on Intelligent Transportation

作者： YeCheng Liu Xu Chen YongXin Xu Dong Xiang LinJian Mo Ant Group Hangzhou China

We study the integrated optimization of timetabling and vehicle scheduling for typical two-way bus lines in public bus transportation. A novel Mixed Integer Linear programming (MILP) model is built for the integrated problem, where some real-life and complex operational constraints, e.g., the upper limits of headways in different time periods, lunch breaks, and max working time, are considered. Since the integrated problem itself is NP-Hard and is difficult to be solved efficiently by off-the-shelf open source solvers, we especially propose a novel approach based on Graph Convolutional network(GCN) to explore the correlations between problem structures and the resulting solution values. In this methodology, an integrated problem instance is represented as a trip chain graph, and a supervised GCN is trained to predict the solution value of partial binary variables which are hard to determine during problem solving. The values of predicted variables will be fixed and the remaining subMILP with smaller search space can be solved faster than the original MILP. To our knowledge, this is the first time machine learning techniques have been used to accelerate the joint solving of timetabling and vehicle scheduling in literature. Our computational evaluations of 100 real problem instances show that the GCN-based methodology outperforms existing solvers, reducing average wall-clock time by 20% while achieving better solution quality.

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Exploring Layered Container Structure for Cost Efficient Microservice Deployment 40

Exploring Layered Container Structure for Cost Efficient Mic...

引用

40th ieee conference on Computer Communications (ieee INFOCOM)

作者： Gu, Lin Zeng, Deze Hu, Jie Jin, Hai Guo, Song Zomaya, Albert Y. Huazhong Univ Sci & Technol Natl Engn Res Ctr Big Data Technol & Syst Sch Comp Sci & Technol Serv Comp Technol & Syst LabCluster & Grid Comp Wuhan Peoples R China China Univ Geosci Sch Comp Sci Wuhan Hubei Peoples R China Hong Kong Polytech Univ Dept Comp Hong Kong Peoples R China Univ Sydney Ctr Distributed & High Performance Comp Sch Comp Sci Sydney NSW Australia

ISBN: (纸本)9780738112817

Container, as a light-weight virtualization technology with the advantages of continuous integration and easy deployment, has been widely adopted to support diverse microservices. At runtime, non-local container images need to be frequently pulled from remote registries to local servers, resulting in large pulling traffic and hence long startup time. A distinctive feature in container-based microservice, which has not been exploited, is that container images are in layered structure and some common base layers can be shared between co-located microservices. In this paper, we propose a layer sharing microservice deployment and image pulling strategy which explores the advantage of layer sharing to speedup microservice startup and lower image storage consumption. The problem is formulated into an Integer Linear programming (ILP) form. An Accelerated Distributed Augmented Lagrangian (ADAL) based distributed algorithm executed cooperatively by registries and servers is proposed. Through extensive trace driven experiments, we validate the high efficiency of our ADAL based algorithm as it accelerates the microservice startup by 2.30 times in average and reduces the storage consumption by 55.33%.

关键词： Runtime conferences Containers Integer linear programming Servers Image storage Proposals

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SEDG: Stitch-Compatible End-to-End Layout Decomposition Based on Graph Neural network

SEDG: Stitch-Compatible End-to-End Layout Decomposition Base...

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2025 Design, Automation and Test in Europe conference, DATE 2025

作者： Guo, Yifan Chen, Jiawei Li, Yexin Zhang, Yunxiang Zhang, Qing Zhang, Yuhang Li, Yongfu Shanghai Jiao Tong University Department of Micro-Nano Electronics Shanghai China School of Integrated Circuit Science and Engineering East China Normal University Shanghai China

ISBN: (纸本)9783982674100

Advanced semiconductor lithography faces significant challenges as feature sizes continue to shrink, necessitating effective Multiple Patterning Layout Decomposition (MPLD) algorithms. Existing MPLD algorithms are inefficient or cannot support stitch insertion to achieve finer-grained optimal decom-position. This paper introduces an end-to-end GNN-based frame-work that not only achieves high-quality solutions quickly but also applies to layouts with stitches. Our framework treats layouts as heterogeneous graphs and performs inference through a message-passing mechanism. We deliver ultra-competitive, near-optimal solutions that are 10x faster than the exact algorithm (e.g., integer linear programming) and 3x faster than approximate algorithms (e.g., exact-cover, semi-definite programming). © 2025 EDAA.

关键词： Graph neural networks

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Cell Recognition Using a Microscope and a Neural network

Cell Recognition Using a Microscope and a Neural Network

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2021 International conference on Engineering Management of Communication and Technology, EMCTECH 2021

作者： Mamrega, Valery V. LLC Darbaza-Avtomatik Bishkek Kyrgyzstan

ISBN: (纸本)9781665416115

The purpose of the study described in this article is to consider a cell classification system using a computer vision system, as well as to study the architecture of the developed neural networks that make it possible to produce a vision classification system. Computer vision is software and hardware that automatically captures and processes images obtained from both stationary and moving objects. The last few years have made significant progress, thanks to the speed and computing power of processors, the resolution of cameras, thereby actualizing the trend towards improving these technologies. Such a procedure requires high qualifications, the availability of automated equipment capable of high-precision classification of human cells, which increases the efficiency of the cell recognition procedure, can significantly increase the efficiency of the cell recognition procedure. The research was carried out on the basis of materials and scientific publications posted on open information resources. In the course of the work, architectural neural networks were considered. The work considers the architectures of neural networks that can perform the determination of the phase of the cell cycle, the identification of cancer cells, classifications of leukocytes, data segmentation, and also perform cell counting. © 2021 ieee.

关键词： Cells

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