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Application of Collaborative Robots in Research and Education in Learning Factories 14th

Application of Collaborative Robots in Research and Educatio...

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14th International Conference on Learning Factories (CLF)

作者： Dalm, Kris Wengle, Markus Leber, Patrick Kevadiya, Gautam Ostbayer TH OTH Amberg Weiden Hetzenrichter Weg 15 D-92637 Weiden Germany IWT Wirtschaft & Tech GmbH Fallenbrunnen 14 D-88045 Friedrichshafen Germany

ISBN: (纸本)9783031654107;9783031654114

According to IFR, the number of installed Cobots has more than tripled from 2017 (11,000 units) to 2021 (39,000 units). Moreover, Cobots are present not only in companies but also in Learning Factory environments, where their usage is diverse. The target of this paper is to show how they can be integrated into education and research to accelerate the distribution of the technology. One approach is to bring the collaborative functionality closer to students and professionals in the form of interactive workshops, which were developed based on industrial applications and systems. In the workshop, four different Cobot scenarios were covered, and it starts with a common theoretical input about human-robot collaboration (HRC), derived by DIN ISO/TS 15066. Then, the basics of teaching/programming stationary/mobile Cobots are addressed. For the HRC mode "Force and Power Limitation", the UR5 (Universal Robots) and the Panda (Franka Emika) are used. For mode "Speed and Distance Monitoring", a HORST600 (Fruitcore), combined with a safety laser scanner is applied and for mobile robotics, an LD90 (Omron). An interactive training program task for each robot system was developed and descriptions and learning videos were provided to the participants. Another approach is the inclusion of Cobots in R&D projects that are performed in Learning Factories, like a current research project. In the project, a Cobot is used to scan rooms to digitalize them. One work package is about the simulation of a Cobot scanning scenario in a Learning Factory, which will be described in the paper.

关键词： Collaborative Robotics Cobot Teaching Workshop Learning Factory

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Exploring Potential Drivers of Citizen's Acceptance of Artificial Intelligence Use in e-Government 11th

Exploring Potential Drivers of Citizen's Acceptance of Artif...

引用

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

作者： Moreira, Joaria Naranjo-Zolotov, Mijail NOVA Informat Management Sch NOVA IMS Campus Campolide P-1070312 Lisbon Portugal

ISBN: (纸本)9783031456473;9783031456480

The current advancement of information technologies has created the conditions to introduce and popularize e-government, bringing citizens closer to public administration. Yet, e-government faces challenges such as the digital divide, civic data overload, lack of trust in government institutions and their online services. Artificial intelligence has the potential to address many of those challenges but also raises ethical, privacy, and security concerns. Which requires that before successfully adopting such a disruptive technology, it is imperative to delve into the drivers leading to citizens' acceptance first. Consequently, this study proposes an empirical model to explore and better understand the citizens' acceptance towards the use of AI in e-government. We used an online survey to collect data (N = 208). The results reveal that the perceived usefulness and trust of AI and social influence significantly contribute to the acceptance of AI use in e-government. Despite the majority being aware of AI and e-government, some are not or are not aware of how AI can be used in e-government. The findings of this study can help local and national governments assess the acceptance of the adoption of AI-based technologies in e-government and define tailored strategies to respond to citizens' concerns and highlight benefits to society.

关键词： Artificial Intelligence e-Government Acceptance of AI use Features of the technology Characteristics of individuals

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Data Science Maturity Model: From Raw Data to Pearl's Causality Hierarchy 11th

Data Science Maturity Model: From Raw Data to Pearl's Causal...

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

作者： Cavique, Luis Pinheiro, Paulo Mendes, Armando Univ Aberta Lisbon Portugal Lasige FCUL Lisbon Portugal Cedis Lisbon Portugal Univ Acores Ponta Delgada Portugal LIACC Ponta Delgada Portugal

ISBN: (纸本)9783031456473;9783031456480

Data maturity models are an important and current topic since they allow organizations to plan their medium and long-term goals. However, most maturity models do not follow what is done in digital technologies regarding experimentation. Data Science appears in the literature related to Business Intelligence (BI) and Business Analytics (BA). This work presents a new data science maturity model that combines previous ones with the emerging Business Experimentation (BE) and causality concepts. In this work, each level is identified with a specific function. For each level, the techniques are introduced and associated with meaningful wh-questions. We demonstrate the maturity model by presenting two case studies.

关键词： data science maturity models business experimentation wh-questions causality

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IoT in Agrotourism: A SEM-Neural Analysis of Smart Farming Adoption and Impacts

IoT in Agrotourism: A SEM-Neural Analysis of Smart Farming A...

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Intelligent systems Conference

作者： Miah, Md Shuhel Ahmed, Waqas Seng, Chan Chee Robert Cavelier Univ Gretna LA USA Univ Kuala Lumpur UniKL Sch Business Kuala Lumpur Malaysia Brittany Inst Higher Educ Rennes France

ISBN: (纸本)9783031664274;9783031664281

As agrotourism continues to thrive as a sustainable and immersive experience, the adoption of smart farming technologies, encompassing the Internet of Things (IoT), artificial intelligence, robotics, and data analytics, emerges as a pivotal driver in elevating agricultural practices and enhancing visitor experiences. This study examines the fundamental factors influencing farmers' intentions to embrace these cutting-edge technologies, shedding light on their potential implications for agrotourism development. Drawing upon the Unified Theory of Acceptance and Use of Technology (UTAUT) model, this research rigorously investigates the impact of performance expectancy, effort expectancy, subjective norms, and personal innovativeness on the adoption process. Employing a robust multi-methods approach, we carefully analyze data gathered from 197 planters, employing both Partial Least Squares Structural Equation Modeling (PLS-SEM) and Artificial Neural Network (ANN) analysis techniques. The compelling results underscore the profound significance of these predictors in shaping planters' intentions to adopt smart farming technologies. Notably, performance expectancy, effort expectancy, personal innovativeness, and subjective norms emerge as compelling determinants of adoption intention. Remarkably, in both SEM-Neural analyses, subjective norms emerge as the most influential predictor. The findings emphasize seamless integration for sustainable agrotourism and offer actionable insights to practitioners and policymakers. This transformative research fosters a harmonious relationship between agriculture, tourism, and technology, elevating the agrotourism experience while promoting environmental sustainability.

关键词： Smart farming Agro-tourism ANN PLS-SEM UTAUT

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Leveraging Geographic Research, Web Applications and Surveys in the Construction of Educational Strategies in Ecuador 1

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

作者： Santos, Fabian Suarez, Fernanda Gairin, Joaquin Univ Indoamer Ctr Invest Terr & Habitat Sostenible CITEHS Quito 170301 Ecuador Univ Autenoma Barcelona Ctr Res & Studies Org Dev CRiEDO Bellaterra 08193 Spain

ISBN: (数字)9789819733057

ISBN: (纸本)9789819733040;9789819733057

Communicating geographic research and contributing to the construction of regional educational strategies represent little-explored challenges. This paper takes a geographic research study that discusses territorial imbalances in access to higher education in Ecuador as an example. It describes a methodology based on developing a web application software (WAS) named "Brechas Educativas". This software aims to disseminate research results and encourages users to reflect on their territories and the access to higher education for their student populations. Subsequently, we collected perceptions about the WAS, factors affecting academic performance and the assimilation of experiences post-COVID-19 pandemic through a survey. To achieve this, virtual workshops were conducted with 95 educational institutions (EIs) across Ecuador, complemented by email correspondence with a group of 3284 EIs. Our results enabled us to understand the good practices for developing WAS for scientific dissemination, the achievements and pitfalls in collecting opinions from the EIs and to draft focused strategies for educational decision-making in this area, informed by both app traffic and survey responses.

关键词： Scientific dissemination Higher education Web application software Opinion polls Ecuador

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Evaluating Deep Transfer Learning Models for Detecting Various Face Mask Wearings 6th

Evaluating Deep Transfer Learning Models for Detecting Vario...

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

作者： Goh, Pei-Jin Hoo, Meei-Hao Khor, Kok-Chin Univ Tunku Abdul Rahman Lee Kong Chian Fac Engn & Sci Sungai Long CampusJalan Sungai Long Kajang 43000 Selangor Malaysia

ISBN: (纸本)9783031669644;9783031669651

In Malaysia, wearing a face mask is no longer mandatory to prevent COVID-19. However, such wearing may be important in future if another outbreak occurs. Besides, wearing a face mask is also important in environments such as cleanrooms, operating theatres and crowded places. For these reasons, developing automated systems for detecting face mask-wearing is crucial. This study evaluates deep transfer learning models to detect four categories of face mask wearing: (i) not wearing masks, (ii) wearing single masks, (iii) wearing masks incorrectly, and (iv) wearing double masks. Transfer learning methods were adopted by using five pre trained models: (i) VGG-16, (ii) MobileNetV2, (iii) ResNet-152, (iv) InceptionV3 and (v) Xception. These models were trained based on 2,000 images collected from various sources and then augmented. The results showed that ResNet-152 outperformed the others by achieving 86.67% accuracy on the testing set (120 images from the other distribution) and 84.47% accuracy on the videos captured using a smartphone.

关键词： Face mask detection transfer learning images videos double masks

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Deviation Analysis of Upper Leg Angle Measurements: Insights into Inertial Sensor Placement Strategies 10th

Deviation Analysis of Upper Leg Angle Measurements: Insights...

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International Conference on New Technologies, Development and Application - Advanced Production Processes and Intelligent systems

作者： Bevrnja, Mustafa Vucina, Adisa Bajric, Hadis Univ Sarajevo Fac Mech Engn Sarajevo 71000 Bosnia & Herceg Univ Mostar Fac Mech Engn Comp & Elect Engn Mostar Bosnia & Herceg

ISBN: (纸本)9783031662676;9783031662683

In order to preserve the health of workers, extensive ergonomic analyzes of the load on the human body are carried out, but in order to obtain concrete results and the possibility of better optimization of the work task, it is necessary to have reliable data that represent actual measured values. This paper provides an insight into the deviations of upper leg angle measurements depending on the placement position of the inertial sensors and offers guidelines on how to minimize measurement deviations. In this study, the values of the root square mean (RSM) deviation of the angles that occur when measuring with inertial sensors are presented. Comparison with previous studies showed that the deviations without improvement techniques are similar to the previously obtained results. Also, the possibility of a non/conventional way of attaching the sensor to the examinee's leg was examined and compared with previously obtained results. The improved measurement method resulted in angles whose average RMS was reduced by almost 78%.The values of RMS of improved method are 1.3 degrees for hip flexion and extension and 0.57 degrees for hip adduction and abduction, which brings inertial sensors to the level of accuracy and precision of other much more expensive and complex methods of recording angles of the human upper leg.

关键词： motion tracking inertial sensors leg kinematics measurement deviation

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Comparative Study of Various Machine Learning Techniques for Parkinson Disease Detection Based on Handwriting 1

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4th Congress on Intelligent systems (CIS)

作者： Singh, Gurpreet Sharma, Sukesha Panjab Univ UIET Chandigarh India

ISBN: (数字)9789819990405

ISBN: (纸本)9789819990399;9789819990405

The most prevalent neurodegenerative condition that substantially impairs elderly people's motor capabilities is Parkinson's disease (PD). Even today, in less developed regions of the world, the diagnosis and monitoring of PD remain an expensive and difficult process. This is comparative study of methods for predicting Parkinson's disease using hand-drawn spiral pictures using computer vision and machine learning approaches. In this paper, five machine learning algorithms are used, which are Decision Tree, K-Nearest Neighbors, Support Vector Classifier, Logistic Regression, and Random Forest. Along with this, HOG feature descriptor is used for the extraction of the features from the spiral images. In this work, the KNN machine learning algorithm performed with the best accuracy of 90%. Similarly, the Random Forest is the second best algorithm with accuracy 83.3%.

关键词： Parkinson's disease Machine learning Spiral images Hog algorithm K-nearest algorithm Logistic regression

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Pre-service Teachers' Perceived Level of Digital Literacy: A Quantitative Study from a Developing Country 4th

Pre-service Teachers' Perceived Level of Digital Literacy: A...

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

作者： Berganio, Mary Emm C. Tanpoco, Manuel R. Dumagay, Alexandhrea Hiedie Western Mindanao State Univ Zamboanga City Philippines De La Salle Univ Manila Philippines

ISBN: (纸本)9783031686740;9783031686757

Digitally proficient employees are highly sought after across various sectors. With educators being pivotal in integrating technology into teaching methodologies, it becomes imperative to assess the levels of digital literacy (DL) and digital readiness (DR) early on. Employing a quantitative approach, this study utilized a 54-item self-reported digital literacy (SRDL) survey tool to explore digital literacy among 187 pre-service teachers. The findings indicate that pre-service teachers possess a considerable level of perceived digital literacy, with a majority expressing confidence in being able to incorporate technology effectively. Notably, among the seven dimensions assessed, students demonstrated significant proficiency in understanding the importance of integrity and responsibility in technology usage, showcasing awareness of online etiquette and ethical considerations. The findings highlight a strong and positive connections among various dimensions of digital literacy: data collection, information processing, integrity in digital tool usage, and responsibility in online conduct. This finding suggested that proficiency in one area often corresponds to proficiency in others. For instance, individuals who are adept at gathering and analyzing digital data tend to also exhibit ethical behavior in the use of digital tools and demonstrate responsible conduct online. This interconnectedness emphasizes the holistic nature of digital literacy, where competencies in different aspects mutually reinforce each other, leading to a more comprehensive mastery of navigating the digital world effectively and responsibly.

关键词： Digital Literacy Digital Readiness Education Major

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On the Development of a Motor Driver for Physical Human-Robot Interactions 1

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18th International Conference on Intelligent Autonomous systems (IAS)

作者： Cho, Jang Ho Sin, Minki Lee, Hyukjin An, Bohyeon Kim, Kiyoung Korea Inst Machinery & Mat Dept Med Robot Daegu 42994 South Korea

ISBN: (数字)9783031448515

ISBN: (纸本)9783031448508;9783031448515

This paper presents a novel motor driver design suitable for physical human-robot interactions. Unlike traditional motor drivers for motion control, our proposed motor driver design for interaction controls is specifically designed for haptic interfaces and bilateral teleoperation control, enabling haptic interface or feedback through flexible interaction control modules with high control bandwidths. The performance of the proposed motor driver is evaluated through various experiments, demonstrating its effectiveness in improving haptic performance.

关键词： Motor driver Haptic feedback Bilateral teleoperation Control bandwidth Sampling rate

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