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

共 9894 条记录，以下是2011-2020 订阅

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Perceived Importance of Laboratory Learning Objectives by Female and Male Engineering Students 21st

Perceived Importance of Laboratory Learning Objectives by Fe...

引用

21st International Conference on Smart Technologies and Education (STE) on Smart Technologies for a Sustainable Future

作者： Boettcher, Konrad Kaufhold, Nils Schade, Marcel Terkowsky, Claudius Ortelt, Tobias R. TU Dortmund Univ D-44227 Dortmund Germany

ISBN: (纸本)9783031618901;9783031618918

This paper is about the perceived importance of learning objective from female and male bachelor students of a process engineering program after participating in an immersive virtual reality laboratory experiment. The focus is set to the importance of the learning objectives regarding their future work. For the evaluation of the laboratory a questionnaire with the 13 fundamental learning objectives by Feisel and Rosa as well as the extension reported by the CrossLab joint project are used. The evaluation was carried out in an online survey using a 7-point Likert scale. The questionnaire contains two qualitative questions as well. The learning objectives are all perceived as more or less important but not neutral or unimportant. In contrast to preliminary findings, the statistical analysis shows that generally only the learning objective itself, and not gender, has a significant effect on the perceived importance of the learning objectives. According the gender there are only small difference between male and female students in a few learning objectives. The learning objectives data analysis, working style and teamwork are perceived to be most important, sensory awareness is the least important.

关键词： Laboratory Education Engineering Education Learning Objectives Students Perception

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Spherical Bearing with Tapered Hourglass Rolling Elements for Planetary Reduction Stage Applications 1

引用

3rd International Symposium on Industrial Engineering and Automation

作者： Podda, Daniele Pisani, Paolo Cao, Lijun Sartori, Sergio Scaltriti, Diego Clauvelin, Jean-Philippe Leonardo SpA Helicopter Div Cascina Costa VA Italy SKF BV Houten Meidoornkade Netherlands SKF Aerosp Chateauneuf Sur Isere France

ISBN: (数字)9783031704628

ISBN: (纸本)9783031704611;9783031704628

When a power gearbox for aerospace applications loses the lubricant, gears and bearings quickly become powerful heat sources capable of damaging internal components up to compromise the functionality of the system and, potentially, to jeopardize safety of flight. In the last years, helicopter manufacturers worldwide have developed several strategies to overcome the risk associated to the loss of lubrication condition, with the aim of making their drive systems able to operate as much as possible under these extreme conditions. Leonardo Helicopter Division (LHD) is part of this engineering challenge, in this paper an innovative bearing architecture for planetary reduction stages is presented. In this solution, the standard spherical bearings used to compensate misalignment of the pins are replaced with novel spherical bearings with tapered hourglass rolling elements that optimizes the internal kinematic of the bearing and reduces internal power losses;the main advantage is expected in operation without lubricating oil. This paper is a review step by step of the Technology Readiness Level of the solution, it contains: - An excursus on the state of the art in the specific application field - A description of the basic working principles relevant for the specific application (TRL1) - Technology concept formulation, i.e. bearing general architecture (TRL2) - Analytical proof of concept by means of a theoretical dissertation on the bearing kinematic and a comparative FEM analysis (TRL3) The next step will be the validation of the technology through comparative laboratory tests (TRL4).

关键词： Planetary Stage Spherical Bearing Tapered Hourglass Helicopter Gearbox Loss of Lubrication

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An Improved Deep CNN for Early Breast Cancer Detection 2nd

An Improved Deep CNN for Early Breast Cancer Detection

引用

2nd International Conference on Forthcoming networks and Sustainability in the AIoT Era (FoNeS-AIoT)

作者： Khudhur, Ali Kadhim Mohammed Jawad Istanbul Altinbas Univ Elect & Comp Engn Istanbul Turkiye Al Ayen Univ Artificial Intelligence Engn Dept Nasiriyah Iraq

ISBN: (纸本)9783031628801;9783031628818

Over the past several decades, breast cancer has emerged as one of the most devastating illnesses globally. Globally, breast cancer is the second highest cause of mortality among all forms of cancer. Early detection, which permits the total elimination of cancer by surgery or treatment, is one of the most efficient techniques for treating cancer. Thermography, ultrasonography, and mammography are among the different technologies created for the goal of breast cancer screening. Utilizing image processing and deep learning methods, this technology can boost the radiologist's ability to effectively detect chest anomalies. This study advises upgrading the breast cancer detection approach using a Deep Convolutional Neural Network (DCNN) to offer precise and quick findings. Furthermore, this study separates itself from the previous one by adopting a DCNN with 12 stacked processing layers. The implementation of a 12-layered Convolutional Neural Network (CNN) considerably enhanced the precision of breast cancer diagnosis and detection. We applied the Mini Mammographic Database (MIAS) to examine the efficacy of the suggested technique. Nevertheless, the acquired data reveals that Deep CNN attained a spectacular accuracy rate of 99.1%, resulting in excellent consequences. In addition, the DPD-DCNN achieved the greatest degree of accuracy when compared to similar trials.

关键词： Breast Cancer Deep Convolutional Neural Network Mini Mammographic Database

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Unveiling Challenges and Solutions with Intelligence in the Dark and Deep Web 1

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International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Tubaishat, Abdallah Aljouhi, Mariam Maramara, April Zayed Univ Coll Technol Innovat Dubai U Arab Emirates Abu Dhabi Polytech Abu Dhabi U Arab Emirates

ISBN: (数字)9783031700187

ISBN: (纸本)9783031700170;9783031700187

This study delves into the obscured realms of the internet, namely the Deep Web and the Dark Web, which piqued public curiosity following the Silk Road takedown. Despite this interest, widespread misunderstanding persists regarding these clandestine domains. The Deep Web constitutes a vast repository of hidden information, encompassing personal files, academic research, and sensitive databases like email and online banking records. Conversely, the Dark Web represents a minute fraction of this hidden space, notorious for facilitating illegal activities such as trading illicit goods, sharing stolen data, and orchestrating cyberattacks. Operated through specialized networks and leveraging cryptocurrencies like Bitcoin for transactions, the Dark Web poses significant challenges for law enforcement due to its anonymity and encrypted nature. Specific hurdles include hidden payment pages and untraceable money transfers, which render it a haven for cybercriminals. The paper offers an overview of both the Deep and Dark Web, underscoring the critical role of proactive monitoring tools in mitigating associated threats. These intelligent solutions leverage technologies such as data analytics and machine learning to preemptively detect and halt potential dangers, offering early threat detection and prediction capabilities. Moreover, they aid law enforcement by providing crucial evidence against cybercriminals and safeguarding private information. Recognizing the importance of understanding and combating cybercrime, collaborative efforts among cybersecurity experts, law enforcement agencies, and technology innovators are advocated to create a safer online environment for all stakeholders.

关键词： Cybersecurity Deep Web Dark Web Hidden Web Tor Network Onion Routing Anonymity Proactive Monitoring Solutions

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TermX-Bridging the Gap: Implementing CTS2 and FHIR Compatible Terminology Server 9th

TermX-Bridging the Gap: Implementing CTS2 and FHIR Compatibl...

引用

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

作者： Ivanova, Marina Bossenko, Igor Piho, Gunnar Tallinn Univ Technol Dept Software Sci Akad 15A EE-12618 Tallinn Estonia

ISBN: (纸本)9789819745807;9789819745814

As healthcare systems evolve, achieving interoperability and seamless data exchange becomes paramount. The key component of the data exchange is terminology managed by the terminology server. During "Comparative Analysis of Clinical Terminology Servers: A Quest for an Improved Solution" research, we did not find a terminology server suitable for our criteria and decided to develop our own terminology server. This article delves into implementing the Common Terminology Services 2 (CTS2) standard on PostgreSQL, a robust open-source relational database. The discussion encompasses the intricacies of integrating CTS2 with PostgreSQL, exploring the challenges and solutions encountered during the process. Additionally, the article comprehensively maps this implementation to HL7 Fast Healthcare Interoperability Resources (FHIR), a widely adopted standard for healthcare data exchange. Readers will gain insights into the technical aspects of the implementation, practical considerations, and the potential impact on healthcare data management. This exploration aims to guide developers, healthcare IT professionals, and stakeholders in leveraging CTS2 on PostgreSQL while ensuring compatibility with HL7 FHIR resources, ultimately fostering improved interoperability in the dynamic landscape of healthcare data systems.

关键词： TermX Terminology server PostgreSQL CTS2 HL7 FHIR Healthcare interoperability Clinical data exchange

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A Fuzzy Timed Petri Net Approach to Modeling Forward Collision Warning systems Based on the 3-Second Rule 4th

A Fuzzy Timed Petri Net Approach to Modeling Forward Collisi...

引用

4th International Conference on Digital Technologies and Applications (ICDTA)

作者： Serji, Abdelilah El Bekkaye, Mermri Blej, Mohammed Mohammed Premier Univ Oujda Morocco

ISBN: (纸本)9783031686498;9783031686504

Forward Collision Warning (FCW) systems significantly improve road safety by alerting drivers of potential collisions. This paper presents an FCW system using a Fuzzy Timed Petri Net (FTPN) with a three-second rule timing as a safety distance. Our proposed system is a real-time system in which precision is required as we carefully deal with system timing and uncertainties by integrating Timed Petri Net modeling tools and Fuzzy Logic algorithms as essential classic Artificial intelligence tools. Our proposed approach provides an accurate, real-time interpretation of the safety collision system. The primary purpose of this model is to determine the optimal timing of warnings, taking into account the vehicle speed and the distance between vehicles, using the rules we produced from our database extracted by an expert system. We have simplified the modeling process by moving from Fuzzy Timed Production Rules (FTPR) to FTPN, which makes the modeling process effective. Our modeling results have shown that it is a dynamic system in real time that brilliantly comprehends the environment's complexity and makes decisions quickly. After the development phase, a rigorous verification process was conducted. After verification, our proposed system achieved highly satisfactory results by using a range of precise scenarios, focusing on the speed of response and accuracy of results while characterizing each model with unique latent variables defined within different periods.

关键词： Real-Time System Fuzzy Timed Petri Net Fuzzy Timed Production Rule Artificial Intelligence

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AirVA - Indoor Air Quality Monitoring and Control with Occupants Alerting System 11th

AirVA - Indoor Air Quality Monitoring and Control with Occup...

引用

11st World Conference on Information systems and Technologies (WorldCIST)

作者： Ramos, Agostinho Jesus, Vagner Bom Goncalves, Celestino Caetano, Filipe Silveira, Clara Inst Politecn Guarda Escola Super Tecnol & Gestao Guarda Portugal

ISBN: (纸本)9783031456473;9783031456480

The objective of this work is to detail the development of an IoT system to monitor the indoor air quality index and record the entry and exit of occupants of the same space. Data is collected, processed, and sent to a data server through the MQTT communication protocol. This server is responsible for storing and displaying information on the ThingsBoard platform. To evaluate the solution, the air quality index and people count were monitored in some classrooms of Polytechnic Institute of Guarda. The results obtained show that the prototype meets all the requirements proposed for the system.

关键词： Indoor Air Quality Monitoring People Counting IoT Zigbee ThingsBoard

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Co-creation of Assistive Technology for Enhancing Daily Living in Individuals with Diverse Disabilities 1

引用

16th International Conference on Ubiquitous Computing and Ambient Intelligence

作者： Gervais, Mattys Bouchard, Bruno Bouchard, Kevin Bouchard, Julie Dionne, Carole Univ Quebec Chicoutimi Lab Intelligence Ambiante Reconnaissance Act LIAR Chicoutimi PQ G7H 2B1 Canada

ISBN: (数字)9783031775710

ISBN: (纸本)9783031775703;9783031775710

Individuals with Intellectual Disabilities (ID), Autism Spectrum Disorder (ASD), or Physical Disabilities (PD) experience significant impairments that limit their daily activities and challenge their autonomy. Enhancing their ability to live independently can substantially improve their well-being and that of their families. Assistive technologies offer promising solutions to facilitate this independence. However, current research in this field rarely addresses the specific needs of these individuals. Moreover, very few studies involve the targeted individuals in the development process of tools through a co-creation process. In this paper, we introduce a new smartphone application designed to support individuals with ID, ASD, and PD. The tool was developed in collaboration with users and caregivers and aimed at promoting social participation. The application was developed through several iterative cycles with targeted users in the loop. We then conducted a field study with ID, ASD, and PD participants to evaluate our tool.

关键词： Assistive Technologies Independent Living Home Support Co-creation Process User-Centered Design

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Real-Time Multi-class Helmet Violation Detection Using YOLOv8 with License Plate Recognition 4th

Real-Time Multi-class Helmet Violation Detection Using YOLOv...

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4th International Conference on Digital Technologies and Applications (ICDTA)

作者： Charef, Ayoub Jarir, Zahi Quafafou, Mohamed LAMIGEP EMSI Moroccan Sch Engn Marrakech Morocco Cadi Ayyad Univ Fac Sci Dept Comp Sci Lab Comp Syst Engn LISI Marrakech Morocco Univ Aix Marseille Dept Comp Sci Marseille France

ISBN: (纸本)9783031686740;9783031686757

In this paper, we propose an end-to-end approach to performing multi-class, real-time detection, prior to the specific classes of motorcycles, helmets, and license plates in traffic monitoring. Using YOLO (You Only Look Once) and EasyOCR (Easy Optical Character Recognition), this system can be used to accurately detect and track motorcycles, helmet status and license plate in video streams. Extensive testing has shown the model to be capable of capturing a wide range of traffic movement and behavior characteristics (e.g., motorcycle counting, helmet compliance) Difficulty tracking little motorcycles (and consequently predicting their positions) is the main area of poor performance, especially when they are driving somewhat zigzag. More sophisticated tuning of the model algorithms and parameters are pending to adapt the model to mitigate these challenges and contribute to a better real-world performance. We will need to continue to collect and validate data to improve reliability and accuracy. In summary, our study helps to promote traffic monitoring technology, which provide useful tools for traffic management, safety enforcement and crash surveillance.

关键词： Traffic surveillance Object detection Helmet detection Motorcycle tracking License plate recognition

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Mapping the Evolution of Green Supply Chain: A Bibliometric Analysis 7th

Mapping the Evolution of Green Supply Chain: A Bibliometric ...

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7th International Conference on Logistics Operations Management (GOL)

作者： Sakhri, Mohamed Salim Amri Univ Angers LERIA 2 Blvd Lavoisier F-49045 Angers France

ISBN: (纸本)9783031686276;9783031686283

The green supply chain has become a priority for many companies around the world. This approach involves integrating environmental considerations into supply chain management processes, from product design to delivery. This approach has become essential to address growing concerns about sustainability and climate change, and to meet consumer expectations of corporate environmental responsibility. This article presents the landscape of green supply chain development. It provides a bibliometric analysis to describe the evolution of the concept, identifying existing studies in this area of research and the countries and institutions that have shown the most interest in the concept. We also highlight potential avenues for future research in this area and the practical implications for business and policy makers.

关键词： Green supply chain Logistic Environment Sustainability Bibliometric

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