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8th International Symposium on Innovative Approaches in Smart Technologies, ISAS 2024

作者： Yalcin, Kadir Dogan, Ramazan Ozgur Dogan, Hulya Bingol, Ozkan Graduate Education Institute Gumushane University Department of Artificial Intelligence and Intelligent Systems Gumushane Turkey Trabzon University Faculty of Computer and Information Sciences Department of Artificial Intelligence Engineering Trabzon Turkey Karadeniz Technical University Faculty of Engineering Department of Software Engineering Trabzon Turkey Gumushane University Faculty of Eng. and Natural Sciences Department of Software Engineering Gumushane Turkey

ISBN: (纸本)9798331540104

Biometric technologies have been widely adopted in various commercial products, ranging from security systems to personal devices, due to their exceptional reliability and user-friendliness. Among these, palmprint biometrics has gained increasing attention for its advantages, such as ease of use, a larger surface area, and the ability to capture more features compared to other biometric methods. A typical palmprint biometric system involves five key stages: (a) Image Acquisition, (b) Hand Segmentation, (c) Pattern Generation, (d) Feature Extraction, and (e) Verification/Identification. The overall success of the system depends on the effectiveness of each stage, with hand segmentation being crucial for identifying the most relevant features for accurate verification. This study aims to achieve high-accuracy biometric recognition by segmenting hands from images captured in uncontrolled environments with complex backgrounds. Accuracy (ACC), Intersection over Union (IoU), F1-Score, and Dice Coefficient are the four critical metrics used to assess the performance of segmentation techniques. The findings demonstrate that the U-Net + ViT and MA-Net + ResNet34 techniques outperform traditional auto-encoder methods in both quantitative performance metrics and visual analysis, leading to significantly improved hand segmentation for biometric systems. © 2024 IEEE.

关键词： Image acquisition

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Special Issue: Cybersecurity in Manufacturing

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Journal of Computing and Information Science in engineering 2024年第7期24卷 070201页

作者： Ameta, Gaurav Bukkapatnam, Satish Li, Dan Tian, Wenmeng Yampolskiy, Mark Zhang, Fan Siemens Corporate Research PrincetonNJ08540 United States Department of Industrial and Systems Engineering Texas A&M University College StationTX77843 United States Department of Industrial Engineering Clemson University ClemsonSC29634 United States Department of Industrial and Systems Engineering Mississippi State University Mississippi StateMS39762 United States Department of Computer Science and Software Engineering Auburn University AuburnAL36849 United States School of Mechanical Engineering Georgia Institute of Technology AtlantaGA30318 United States

The landscape of cybersecurity in manufacturing exhibits a dynamic interplay between evolving threats and vulnerabilities against innovative defense mechanisms. With the increasing adoption of smart and cloud-controlled technologies, there is a growing emphasis on securing manufacturing systems from cyberattacks. Future trends indicate a shift toward implementing more advanced technologies such as artificial intelligence and machine learning for threat identification, attack detection, and response. In addition, the adoption of secure-by-design principles in product development and the integration of blockchain technology for ensuring the integrity of supply chain data are expected to become more prevalent. As manufacturers continue to digitize and connect their operations, collaboration between industry stakeholders, government agencies, and cybersecurity experts will be crucial in developing robust defense strategies against evolving security threats. This Special Issue provided a platform for the research advancing understanding of and addressing these threats. The article by Rahman et al., “Taxonomy-Driven Graph-Theoretic Framework for Manufacturing Cybersecurity Risk Modeling and Assessment,” presents a taxonomy-driven graph-theoretic model and framework to represent the threat landscape of cybersecurity and identify vulnerable manufacturing assets. The model and framework contain three techniques to address identified research challenges. First, the proposed framework characterizes threat actors' techniques, tactics, and procedures using taxonomical classifications of manufacturing-specific threat attributes and integrates these attributes into cybersecurity risk modeling. Second, using the attack graph formalism, the proposed framework enables concurrent modeling and analysis of a wide variety of cybersecurity threats comprising varying attack vectors, locations, vulnerabilities, and consequences. Third, a quantitative risk assessment approach is presented to

关键词： Computer security Manufacturing

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Emotion and Mentality Monitoring Assistant (EMMA) 8

Emotion and Mentality Monitoring Assistant (EMMA)

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8th International Conference on Communication and Electronics systems, ICCES 2023

作者： Kiridena, Ishini Marasinghe, Dayan Karunarathne, Ruvini Wijethunga, Kavindu Fernando, Harinda Sri Lanka Institute of Information Technology Department of Computer Science and Software Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Department of Computer Systems Engineering Malabe Sri Lanka

ISBN: (纸本)9798350396638

Human emotions, psychology, and social well-being are all parts of mental health. It has an impact on how people feel, think, and act. It aids in figuring out how individuals act under pressure, interact with each other, and arrive at decisions. Every period of life, from childhood and adolescence to maturity, is vital for mental health. There are several elements that affect mental health issues, such as experiences with trauma or abuse in life, work-life stress, relationship difficulties, etc. Help is available for many of the mental health issues that are identified within a person. The proposed solution is implementing a friendly chatbot that is capable of capturing human emotional states (happy, angry, sad, etc.) and mental health states (depression, anxiety, stress, etc.) using human computer interaction and health record management. The proposed solution has been developed by considering both regular users and mental health practitioners. The user can communicate with the proposed assistant using text or voice to identify their emotions and mental health based on keywords, particular characteristics of voice and facial recognition used during the conversation. Once the mental health and emotion statuses are analyzed the electronic health records will be readily available on the blockchain as blockchain tokens, this could be shared with the practitioners securely. © 2023 IEEE.

关键词： Blockchain

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Automated Integration of External Data into Digital Twins for Manufacturing Processes 28

Automated Integration of External Data into Digital Twins fo...

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28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Hildebrandt, Gary Habiger, Pascal Dittler, Daniel Drath, Rainer Weyrich, Michael Pforzheim University of Applied Sciences Institute of Smart Systems and Services Pforzheim Germany Stuttgart University Institute of Industrial Automation and Software Engineering Stuttgart Germany

ISBN: (纸本)9798350339918

In the era of Industry 4.0, data is becoming increasingly vital for future manufacturing and digital twin applications. Currently, primarily asset-created data is utilized, while the potential benefits of incorporating external data from connected production systems remain untapped. This underutilization is largely due to the complex and time-consuming nature of integrating external data. Automating this process could significantly improve efficiency and unlock valuable insights for more effective decision-making. In this paper, we present the requirements for a system aimed at automating the integration of external data, considering factors such as data heterogeneity and the need to support diverse communication protocols. We further introduce an assistant system that facilitates this automated integration, enhancing manufacturing processes and digital twin applications. Furthermore, we provide a prototypical implementation of the assistant system in the context of a collaborative robot utilizing information from its surroundings obtained through external camera and LiDAR imaging. By addressing the challenges of external data integration, this research contributes to the advancement of data-driven manufacturing and the optimization of digital twin technologies. © 2023 IEEE.

关键词： Internet of things

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A New RISC-V CPU for Safety-Critical systems 12

A New RISC-V CPU for Safety-Critical Systems

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12th Mediterranean Conference on Embedded Computing, MECO 2023

作者： Mach, Jan Kohutka, Lukas Cicak, Pavel Institute of Computer Engineering and Applied Informatics Slovak University of Technology Bratislava842 16 Slovakia Institute of Informatics Information Systems and Software Engineering Slovak University of Technology Bratislava842 16 Slovakia

ISBN: (纸本)9798350322910

In this paper, we propose a novel hardening technique against Single Event Effects, which enables high-frequency operation and does not cause large power consumption and area overhead. The protection is based on redundancy, separation of the pipeline into two main sections, and is fully applicable at Register Transfer Level. It provides fast detection of faults, simple recovery by a flush of the pipeline, and allows a large prediction unit to be unprotected. We present the protection scheme at the core with the RISC-V instruction set. Simulations confirm that the protection can handle the injected faults. Synthesis shows that protection lowers the maximum frequency by only 3.9%. The area increase is only 108% and can be even lower. Total power consumption increased by 119%. © 2023 IEEE.

关键词： Pipelines

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CapsiScan: Autonomous Robotic System for Monitoring and Managing Greenhouse-Based Capsicum Farms 5

CapsiScan: Autonomous Robotic System for Monitoring and Mana...

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5th International Conference on Advancements in Computing, ICAC 2023

作者： Jayakody, E.R.T. Rabel, W.T.T. Estrop, R.D.V. Herath, K.G.L.P. Harshanath, S.M.B. Abeygunawardhana, Pradeep K. W. Sri Lanka Institute Information Technology Dept. of Computer Systems Engineering Malabe Sri Lanka Sri Lanka Institute of Information Technology Dept. of Software Engineering Colombo Sri Lanka

ISBN: (纸本)9798350358131

The automation of processes in greenhouses provides a significant advantage to the agricultural sector. Due to the rapid growth of the population, increasing demand for food and labor shortage make the autonomous monitoring and management of agricultural work more important. Capsicum is a largely consumed vegetable in South Asia, which can be efficiently grown in greenhouses. Although there are many capsicum farms, they lack quality and efficient production to match the increasing demand. This paper proposes a robotic system for use in capsicum greenhouses that can navigate and monitor the plants to identify diseases, track the yield, and take remediation actions. The robot navigates to each plant in the greenhouse autonomously by using the SLAM approach with the use of laser range sensor data. The 4 DoF robotic arm of the robot has a camera and a sprayer attached to its end to investigate plants and spray remedies to diseased plants. The robotic arm moves around the plant to capture the images to detect deceases and count the pods to estimate the yield. The sprayer of the robot sprays remedies precisely to targeted plants to control pests and diseases. The system was successfully implemented and tested with the proposed functions. © 2023 IEEE.

关键词： Greenhouses

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Dynamic Production Scheduling with Intelligent Products in a Modular Production System 28

Dynamic Production Scheduling with Intelligent Products in a...

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28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Artelt, Maurice Dittler, Daniel Hildebrandt, Gary Braun, Dominik Jazdi, Nasser Weyrich, Michael University of Stuttgart Institute of Industrial Automation and Software Engineering Stuttgart Germany Pforzheim University for Applied Sciences Institute of Smart Systems and Services Pforzheim Germany

ISBN: (纸本)9798350339918

Industrial automation is driven by trends such as autonomy, intelligence and networking. Increasing energy demands, scarce resources and shorter product lifecycles pose challenges to production systems such as interoperability, flexibility and extensibility. The concept of the Digital Twin, acting as a virtual representation of a production system, can address these challenges. This paper presents a concept that realizes a dynamic production scheduling as partial function of the Digital Twin using the Asset Administration Shell and a service-oriented architecture. The authors specifically address automated asset production scheduling and propose an MQTT broker with a Functionality Dictionary server. Through the Asset Administration Shell interface, the proposed production scheduler communicates with the proposed product calendar to generate a specialized production schedule for each product. The evaluation scenario in a cyber-physical laboratory shows the advantages of this concept. © 2023 IEEE.

关键词： Memory architecture

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Integrating Scheduling of Logistic Support Processes in Agent-Based Industry 4.0 Assembly Simulation 23

Integrating Scheduling of Logistic Support Processes in Agen...

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Proceedings of the Winter Simulation Conference

作者： Adrian Freiter Christian Schwede Department of Logistics Fraunhofer Institute for Software and Systems Engineering (ISST) Dortmund GERMANY Faculty of Engineering and Mathematics University of Applied Sciences and Arts Bielefeld Bielefeld GERMANY

ISBN: (纸本)9798350369663

The upcoming decentralized production systems seem to be promising in Industry 4.0 assembly to handle the challenges of highly individual products. Matrix production characterized by freely linked workstations and an advanced automation level are highly flexible. That is why many efforts have already been made to explore the advantages compared to existing flow shop production systems, but also the additional challenges arising from this new paradigm. One of these challenges is the synchronization of main product and supply part flow at the individual workstations during order scheduling. This paper presents a new approach of integrating logistics support processes into the scheduling of the main product flow to consider the part supply in the decisions taken during scheduling avoiding waiting times. We compare our integrated approach with the existing decoupled scheduling approach, based on a "bicycle assembly" scenario. The results are promising particularly when part supply is a bottleneck.

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Interdisciplinary Urban Planning in VR: Virtual Twins for Sustainable Urban Development 9

Interdisciplinary Urban Planning in VR: Virtual Twins for Su...

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9th IEEE International Smart Cities Conference, ISC2 2023

作者： Semenyuk, Anastasia Hopfner, Andreas Lombardi, Pio Alessandro Richter, Marc Sturing, Stefan Komarnicki, Przemyslaw Fraunhofer Institute for Factory Operation and Automation Iff Magdeburg Germany Ls Software & Engineering GmbH Magdeburg Germany Wroclaw University of Science and Technology Wroclaw Poland

ISBN: (纸本)9798350397758

Urban planning processes are increasingly characterized by a progressive rise in complexity and interdisciplinary cooperation. They are also promoted by the public interest in participation in planning and the population's growing awareness of the need for climate protection and adaptation. The integration of renewable energies and inclusion of new digital tools for smart cities go hand in hand with it. This contribution displays the development of an innovative cloud-based platform for interdisciplinary urban planning. The concept 'Urban Planner' focuses on a virtual twin of a real urban system that integrates relevant planning aspects from various disciplines (energetic, economic, spatial development) and, thus, leads to a new type of digital tool for a holistic and sustainable planning view in European cities and municipalities. © 2023 IEEE.

关键词： Virtual reality

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Increasing the say-do ratio of an agile team in a resource-shared environment using a traditional project management approach 24

Increasing the say-do ratio of an agile team in a resource-s...

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24th Ibero-American Conference on software engineering, CIbSE 2021

作者： Falcão, Rodrigo Elberzhager, Frank Theobald, Sven von Albedyll, Jannis Fraunhofer Institute for Experimental Software Engineering IESE

Although Scrum declares that team members have to be dedicated to their teams during a sprint, in practice these team members are often shared throughout an organization. As a consequence, there is less focus on fulfilling the sprint plans. Instead of trying to enforce Scrum guidelines and having dedicated resources in each sprint, we accepted this organizational constraint and adapted our existing development process to take into account the fact that human resources will be shared during sprints. In this paper, we show how we used a set of traditional project management practices to adjust the sprint planning and monitoring processes in a resource-shared environment setting. We performed a 7-month case study in the context of the project Digital Villages, where five technical teams shared resources while working on eight products in parallel during the various sprints. The approach increased the overall say-do ratio of the team from 48% to 79%. Open challenges include further improvement of the say-do ratio in such environments and better predictability of it. © CIbSE 2021. All rights reserved.

关键词： Project management

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