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检索条件"丛书名=Lecture Notes in Networks and Systems"

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Experiences from 10 years LEAD Factory and a Roadmap for the Next Decade 14th

Experiences from 10 years LEAD Factory and a Roadmap for the...

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14th International Conference on Learning Factories (CLF)

作者： Ramsauer, Christian Ruedele, Kai Wolf, Matthias Hammer, Markus Graz Univ Technol Inst Innovat & Ind Management Kopernikusgasse 24 A-8010 Graz Austria McKinsey & Co Inc Schottenring 19 A-1010 Vienna Austria

ISBN: (纸本)9783031653995;9783031654008

After three years of development, the first learning factory course was taught with 16 students in June 2014 at Graz University of Technology, Austria. What began as a small-scale assembly site to offer students hands-on training experience on the subject of lean production ten years later, is now a learning factory for Industry 4.0 and beyond. The learning content has been extended including digitalization, human-centered work design, sustainability, and agility or resiliency topics. Its equipment has been continuously updated, including small-scale production machinery and digital technologies. Consequently, also the name was changed to LEAD Factory to address all subjects and challenges covered in education, research, and industrial training. Just like real production systems, the LEAD Factory has to keep reinventing itself. This paper outlines the history of one of the first Austrian learning factories and frame plans for the near future.

关键词： learning factory competency development action-oriented learning didactic transformation

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A Comparative Analysis of Threat Modelling Methods: STRIDE, DREAD, VAST, PASTA, OCTAVE, and LINDDUN

A Comparative Analysis of Threat Modelling Methods: STRIDE, ...

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2024 International Conference on Computing, Communication, Cybersecurity and AI

作者： Naik, Nitin Jenkins, Paul Grace, Paul Naik, Dishita Prajapat, Shaligram Song, Jingping Aston Univ Sch Comp Sci & Digital Technol Birmingham W Midlands England Cardiff Metropolitan Univ Cardiff Sch Technol Cardiff Wales Birmingham City Univ Birmingham W Midlands England Devi Ahilya Univ Int Inst Profess Studies Indore India Northeastern Univ Software Coll Shenyang Peoples R China

ISBN: (纸本)9783031744426;9783031744433

Novel cybersecurity threats are constantly emerging and posing significant security challenges to organisations;therefore, it is important for organisations to proactively analyse the existing and emerging cybersecurity threats against their systems. Threat modelling methods are very effective in proactively analysing cybersecurity threats and enhancing organisational security policies and defence mechanisms against these cybersecurity threats. Several threat modelling methods have been proposed, and it is important for security experts to select the appropriate threat modelling methods for an organisation according to their specific security challenges and cybersecurity threats. This paper will present a comparative analysis of six threat modelling methods: STRIDE, DREAD, VAST, PASTA, OCTAVE, and LINDDUN. It will provide a concise description of all the aforementioned threat modelling methods, and subsequently, a comparative analysis of these six threat modelling methods for highlighting their relative strengths and limitations.

关键词： Threat Modelling Threat Models Cyberattack Cyberthreat Cyber Threat STRIDE Model DREAD Model VAST Model PASTA Model OCTAVE Model LINDDUN Model

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Preliminary Design of Reaction Wheel System Using Analytical Methods 6th

Preliminary Design of Reaction Wheel System Using Analytical...

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6th International Conference Mechatronics - Ideas for Industrial Applications

作者： Piecha, Kamil Gallina, Alberto AGH Univ Krakow Fac Mech Engn & Robot Dept Robot & Mechatron Al Mickiewicza 30 PL-30059 Krakow Poland

ISBN: (纸本)9783031634437;9783031634444

Ground satellite test stands with a spherical air-bearing balancing platform are commonly used to test the Attitude Determination and Control System (ADCS) components. However, limited attention has been paid to the influence of gravitational imbalance combined with aerodynamic resistance. This paper aims to develop a 3-axis reaction wheel system mounted on the balancing platform to create a system that can test novel ADCS algorithms in the future. We have developed and implemented a simplified aerodynamic torque estimation algorithm into the design process. The Simulink plant model of the platform with the reaction wheel system was created with imbalance combined with the aerodynamic resistance torque taken into account. Experiments were conducted to validate the model and ensure that the designed reaction wheel system is sufficient for academic needs. The outcome of this work is a practical design tool for the development of 3-axis ADCS systems, specifically tailored for ground-based algorithm testing.

关键词： ADCS Test stand Reaction wheel Small satellite Satellite sub-system 3D Printing

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A Systematic Literature Review on the Impact of the COVID-19 Pandemic on Digital Access and the Digital Divide in South African Higher Education 1

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9th International Congress on Information and Communication Technology (ICICT)

作者： Moodley, Kebashnee Segoete, Neo Univ Witwatersrand 1 Jan Smuts Ave ZA-2000 Johannesburg South Africa

ISBN: (数字)9789819733057

ISBN: (纸本)9789819733040;9789819733057

The outbreak of the COVID-19 pandemic necessitated a transition to remote learning, highlighting the disparities in digital access. South Africa was challenged with providing equal access to education to all students;however, students from marginalised backgrounds were faced with significant challenges. This research aimed to investigate the impact of COVID-19 on the digital access divide among South African higher education students, particularly those from poor backgrounds. The lack of access to digital resources hindered students' academic engagement, amplifying existing educational inequalities. Addressing this issue was significant for inclusive and equal learning opportunities for all. Systematic searches were performed on four academic databases. A total of 21 articles met the inclusion criteria and were analysed using a thematic analysis approach and an inductive coding strategy to generate the themes. The findings showed that factors contributing to amplifying the digital access divide include disparities in Internet connectivity, limited access to digital devices and socioeconomic inequalities. Although South Africa has made some effort to address the digital access divide, by providing digital devices, such as laptops and tablets, the government did not address the larger socioeconomic challenges affecting students. The lack of common ICT integration policies between higher education and the government amplified the digital divide during the pandemic. The transition to remote learning negatively impacted marginalised students and limited accessibility to university education during the pandemic, amplifying the digital divide during the pandemic.

关键词： COVID-19 pandemic Digital divide South Africa Technology access Digital access divide Higher education students Digital inequalities

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An Inventory of Breast Cancer: A Comprehensive Approach 8th

An Inventory of Breast Cancer: A Comprehensive Approach

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8th Smart Trends in Computing and Communications (SmartCom)

作者： Rajeshwar, V. V. N. Sai Dattatreya, V. ACE Engn Coll Hyderabad Telangana India CVR Coll Engn Hyderabad Telangana India

ISBN: (纸本)9789819713127;9789819713134

Many pre-designed diagnostics are a part of identifying breast cancer and detecting lesions in the breast. The most effective and accurate screening modalities are Mammography, Ultrasound, Histopathology, and Magnetic Resonance Imaging (MRI). Some diagnostic methods use Computer-Aided Diagnostics (CAD) which determines the characteristics like color, form, texture, etc. When evaluating the performance of these ML models, many attributes like sensitivity, specificity, and accuracy will be considered. Receiver Operating Characteristics (ROC) graphs are sketched, and the sole purpose is to detect lesions in the breast. Malignant lesions are more invasive than benign lesions, which makes them more complicated to have a cure for. The motto of this corresponding enigmatic review was to gain substantial knowledge over various biomedical imaging and detection of breast cancers which are either benign or malignant. This paper suggests that there were many ML and DL models to determine breast cancer. To conclude the abstract, it's just the beginning of an in-depth journey to unveil the enigmatic diagnosis and prediction of breast cancer in women.

关键词： Biomedical imaging Machine learning Deep learning Medical imaging techniques ANN CNN

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Designing Natural User Interfaces in Virtual Reality: A Comparative Study of Text and Audio Task Instructions for Operator Training in Learning Factories 14th

Designing Natural User Interfaces in Virtual Reality: A Comp...

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14th International Conference on Learning Factories (CLF)

作者： Lindner, Marija Beyer, N. Juraschek, M. Cerdas, F. Yakti, W. Ulrichs, C. Herrman, C. Tech Univ Carolo Wilhelmina Braunschweig Inst Machine Tools & Prod Technol Chair Sustainable Mfg & Life Cycle Engn Langer Kamp 19b D-38106 Braunschweig Germany Humboldt Univ Fac Life Sci Thaer Inst Agr & Hort Sci Urban Plant Ecophysiol Div Lentzeallee 55 D-14195 Berlin Germany

ISBN: (纸本)9783031654107;9783031654114

Virtual Reality (VR) technology offers a safe and flexible environment for conducting operator training in different scenarios. For learning purposes, VR has proven to be highly efficient in comparison to conventional learning media for specific tasks. However, an adequate design of a natural user interface (NUI) is required, including accessibility, intuitive use and avoidance of distracting elements allowing the user to focus on the main task within the VR simulation. This paper presents a user study with the main focus on the comparison of two NUI instruction types: audio vs. text instruction in a process unknown to the prospective operator. The VR application is based upon a processing of insect larvae as fish feed from the operator's perspective. To evaluate the instruction types, the participants were split into two equally sized groups, with one group conducting an audio version of the VR simulation, while the other group carried out the text version. After the experiment, user experience and user acceptance were evaluated by the participants in a survey. Furthermore, according to the Technology Acceptance Model, user behaviour and attitude towards the VR technology has been included in the study.

关键词： VR NUI Task Instructions Operator Training

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A Collaborative Robotics Application for the Assembly of Car Rear Lamps 1

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3rd International Symposium on Industrial Engineering and Automation

作者： Scalera, Lorenzo Lozer, Federico Geerinck, Julie Breda, Andreas Totis, Francesco Polo, Fabio Giusti, Andrea Gasparetto, Alessandro Univ Udine I-33100 Udine Italy Odisee Univ Appl Sci B-9000 Ghent Belgium Marelli Automot Lighting Italy SpA I-33028 Tolmezzo Italy Fraunhofer Italia Res I-39100 Bolzano Italy

ISBN: (数字)9783031704659

ISBN: (纸本)9783031704642;9783031704659

In this work we present the automation of the sticking of small components on car rear lamps, a swift and repetitive operation that is currently performed manually by an operator. The challenging automation of this process includes the delicate pick and place of tiny items in predefined positions on the rear lamps. Pick-and-place trajectories for the robot are planned and a custom end-effector is designed to accomplish the task. Furthermore, a safety approach is implemented to stop the robot in the event of a potential collision with the human operator. Finally, the impact of the cycle time on quantitative metrics for human-robot collaboration, as well as on the mechanical energy of the robot is evaluated. Experimental results on a UR5e manipulator show the feasibility of the operation, while meeting the robot constraints and the cycle time requirements.

关键词： collaborative robotics assembly trajectory planning speed and separation monitoring cycle time optimization

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Towards Efficient Edge Learning with Limited Storage Resource: Bandit-Based Training Data Retrieval in AIoT

Towards Efficient Edge Learning with Limited Storage Resourc...

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Intelligent systems Conference (IntelliSys)

作者： Wang, Jing Liu, Siyuan Liu, Wenjing Xu, Zhiwei Zhang, Jiaqi Tian, Jie Inner Mongolia Univ Technol Coll Data Sci & Applicat Hohhot 010080 Peoples R China Inner Mongolia Engn Res Ctr Coll Network Secur & Educ Management Informat Hohhot 010080 Peoples R China Chinese Acad Sci Inst Comp Technol Beijing 100190 Peoples R China New Jersey Inst Technol Dept Comp Sci Newark NJ 07102 USA

ISBN: (纸本)9783031477140;9783031477157

In an intelligent IoT environment, an edge server needs to retrieve data from end devices to train the deep neural network deployed at edge. In order to achieve higher training performance with limited resources, we propose a Bandit-based in-network training data retrieval scheme(Bandit-TDRetrieval). Specifically, we formulate data retrieval from end devices with a multi-armed bandit (MAB) model. A sequence of lever pulls of the arms, indicates the options to retrieve data from different end devices and follows a binomial distribution. To identify the relationship between this binomial distribution and the rewards through continuous data retrieval from the corresponding devices, Thompson sampling is used. In this way, an efficient data retrieval paradigm is proposed to maximize the rewards to retrieve meaningful training data for edge learning. Finally, the evaluations are performed on a NS-3-based simulation platform, which demonstrate the proposed paradigm effectively improve the training efficiency of the deep neural networks at edge.

关键词： Efficient edge learning Multi-armed bandit Training data retrieval IoT

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Non-invasive Techniques for Heart Rate Monitoring: A Review 8th

Non-invasive Techniques for Heart Rate Monitoring: A Review

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8th Smart Trends in Computing and Communications (SmartCom)

作者： Naik, Rasika Jadhav, Manjiri Mahankuda, Puja Gupta, Bhoomi Vivekanand Educ Soc Inst Technol Elect & Telecommun Dept Hashu Adwani Mem Complex Mumbai 400074 Maharashtra India

ISBN: (纸本)9789819713257;9789819713264

The measurement and analysis of heart rate play a pivotal role in health care, fitness monitoring, and stress assessment. It gives a comprehensive outline of the methodologies and techniques employed in heart rate analysis. We categorize these methods into two primary domains: hardware and software, with a particular focus on the software-based approaches. Within the software domain, we further classify methods into three subcategories: data-driven methods, model-based methods, and signal decomposition methods. Our review encompasses recent research published from 2017 to 2022, spanning a diverse range of applications and methodologies. We highlight the significance of heart rate analysis in various fields and discuss the limitations and challenges faced by current techniques. By categorizing and evaluating these methods, our review aims to provide valuable insights into the advancements in heart rate analysis, facilitating a better understanding of the state of the field. Through this comprehensive exploration, we intend to contribute to the ongoing dialogue in heart rate analysis and inspire further research in this critical area of study.

关键词： Heart

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Utilizing Machine Learning for Gene Expression Data: Incorporating Gene Sequencing, K-Mer Counting and Asymmetric N-Grams Features 6th

Utilizing Machine Learning for Gene Expression Data: Incorpo...

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6th International Conference on Soft Computing and Data Mining (SCDM)

作者： Chuah, Chai-Wen He, WanXian Huang, De-Shuang Alawatugoda, Janaka Guangxi Acad Sci Nanning Peoples R China Guangdong Univ Sci & Technol Dongguan Guangdong Peoples R China Rabdan Acad Res & Innovat Ctr Div Abu Dhabi U Arab Emirates Griffith Univ Inst Integrated & Intelligent Syst Nathan Qld Australia

ISBN: (纸本)9783031669644;9783031669651

Comprehending the sequence of deoxyribonucleic acid sequence is a pivotal aspect of bio-informatics research. With the substantial surge in biological data, there arises a necessity of effective methodologies to address the crucial challenge within the overarching computation framework of deoxyribonucleic acid sequence classification. Numerous machine learning's can be used to complete these tasks compared to a manual technique that is followed for ages. The aim of this project is to perform effective approaches for pre-processing deoxyribonucleic acid sequences (K562 ChIP-seq) and use machine learning's to train the model by using deoxyribonucleic acid sequences to create judgments, predictions and classifications deoxyribonucleic acid sequences into known categories. As the machine learning may analyze large and complex datasets to identify patterns and trends of deoxyribonucleic acid sequences that may not be apparent to humans. In this study, the pre-processing methods are k-mers and N-grams. The machine learning classifiers, we employ Naive Bayes classifier, K-nearest neighbors classifier and Random Forest classifier to train model and to evaluate the accuracy of predicting the K562 ChIP-seq. All the classifiers achieve overall accuracy over 80%. We show that Na ve Bayes classifier based on k-mers encoding which gives good result for both symmetric and asymmetric N-grams. The Na ve Bayes classifier based on 3-mers until 6-mers encoding have the highest accuracy of all the classifiers tested at 89.8% for symmetric N-grams and 90% for asymmetric N-grams. The Random Forest based on 3-mers and (2,3)-grams achieves the second highest accuracy in predicting the K562 ChIP-seq with 87.1%. The highest accuracy for K-nearest neighbors classifier based on 2-mers until 6-mers encoding for asymmetric N-grams tested at 86.9%. The results also reveal that the performance of the novelty classifiers' finding based on asymmetric N-grams are better if compared with symmetric N-gr

关键词： DNA sequencing Machine learning Na ve Bayes Classifiers K-nearest neighbors Classifiers Random Forest Classifiers k-mers N-grams

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