Smart Sensors for Healthcare and Medical Applications

This book focuses on new sensing technologies, measurement techniques, and their applications in medicine and healthcare. Specifically, the book briefly describes the potential of smart sensors in the aforementioned applications, collecting 24 articles selected and published in the Special Issue “Smart Sensors for Healthcare and Medical Applications”. We proposed this topic, being aware of the pivotal role that smart sensors can play in the improvement of healthcare services in both acute and chronic conditions as well as in prevention for a healthy life and active aging. The articles selected in this book cover a variety of topics related to the design, validation, and application of smart sensors to healthcare

Proceedings of the European Conference on Agricultural Engineering AgEng2021

This proceedings book results from the AgEng2021 Agricultural Engineering Conference under auspices of the European Society of Agricultural Engineers, held in an online format based on the University of Évora, Portugal, from 4 to 8 July 2021. This book contains the full papers of a selection of abstracts that were the base for the oral presentations and posters presented at the conference. Presentations were distributed in eleven thematic areas: Artificial Intelligence, data processing and management; Automation, robotics and sensor technology; Circular Economy; Education and Rural development; Energy and bioenergy; Integrated and sustainable Farming systems; New application technologies and mechanisation; Post-harvest technologies; Smart farming / Precision agriculture; Soil, land and water engineering; Sustainable production in Farm buildings

Shortest Route at Dynamic Location with Node Combination-Dijkstra Algorithm

Abstract— Online transportation has become a basic requirement of the general public in support of all activities to go to work, school or vacation to the sights. Public transportation services compete to provide the best service so that consumers feel comfortable using the services offered, so that all activities are noticed, one of them is the search for the shortest route in picking the buyer or delivering to the destination. Node Combination method can minimize memory usage and this methode is more optimal when compared to A* and Ant Colony in the shortest route search like Dijkstra algorithm, but can’t store the history node that has been passed. Therefore, using node combination algorithm is very good in searching the shortest distance is not the shortest route. This paper is structured to modify the node combination algorithm to solve the problem of finding the shortest route at the dynamic location obtained from the transport fleet by displaying the nodes that have the shortest distance and will be implemented in the geographic information system in the form of map to facilitate the use of the system. Keywords— Shortest Path, Algorithm Dijkstra, Node Combination, Dynamic Location (key words

Project based-learning based on I-STEM (Islamic, Science, Technology, and Mathematics) to facilitate the development of geometric critical thinking skills of first middle students

In line with the 21st century, mathematics learning innovations continue to be developed to facilitate students' critical thinking skills by adjusting the context of their religious life. The purpose of this study is to provide ideas that teachers can do to implement Project Based Learning (PjBL) with a STEM (I-STEM) approach that is used to facilitate the development of students' critical thinking skills. The pattern of integration that is designed lies in the flat plane geometry material with the integration of the verses of the Koran and the internalization of Islamic values, with the hope of being able to create meaningful learning activities for students. This research is a qualitative research with library research. Data collection techniques are carried out through reviewing the literature, both from articles, books, and other documents that can be used to describe theories and information needed in research. The data analysis technique used is content analysis (content analysis). The results of this study are the I-STEM-based PjBL syntax includes 1) basic questions (integration with the verses of the Koran presented in the LKPD); 2) designing project plans (miniature Kaaba); 3) draw up a project completion schedule; 4) monitor project progress; 5) test project results (and compare with other problems); and 6) evaluate the learning experience. I-STEM-based PjBL was developed to facilitate the development of students' critical thinking skills through syntax and LKPD which were developed adapted to the context of Islamic life and the Koran at the junior high school level

Evaluating EEG–EMG Fusion-Based Classification as a Method for Improving Control of Wearable Robotic Devices for Upper-Limb Rehabilitation

Musculoskeletal disorders are the biggest cause of disability worldwide, and wearable mechatronic rehabilitation devices have been proposed for treatment. However, before widespread adoption, improvements in user control and system adaptability are required. User intention should be detected intuitively, and user-induced changes in system dynamics should be unobtrusively identified and corrected. Developments often focus on model-dependent nonlinear control theory, which is challenging to implement for wearable devices. One alternative is to incorporate bioelectrical signal-based machine learning into the system, allowing for simpler controller designs to be augmented by supplemental brain (electroencephalography/EEG) and muscle (electromyography/EMG) information. To extract user intention better, sensor fusion techniques have been proposed to combine EEG and EMG; however, further development is required to enhance the capabilities of EEG–EMG fusion beyond basic motion classification. To this end, the goals of this thesis were to investigate expanded methods of EEG–EMG fusion and to develop a novel control system based on the incorporation of EEG–EMG fusion classifiers. A dataset of EEG and EMG signals were collected during dynamic elbow flexion–extension motions and used to develop EEG–EMG fusion models to classify task weight, as well as motion intention. A variety of fusion methods were investigated, such as a Weighted Average decision-level fusion (83.01 ± 6.04% accuracy) and Convolutional Neural Network-based input-level fusion (81.57 ± 7.11% accuracy), demonstrating that EEG–EMG fusion can classify more indirect tasks. A novel control system, referred to as a Task Weight Selective Controller (TWSC), was implemented using a Gain Scheduling-based approach, dictated by external load estimations from an EEG–EMG fusion classifier. To improve system stability, classifier prediction debouncing was also proposed to reduce misclassifications through filtering. Performance of the TWSC was evaluated using a developed upper-limb brace simulator. Due to simulator limitations, no significant difference in error was observed between the TWSC and PID control. However, results did demonstrate the feasibility of prediction debouncing, showing it provided smoother device motion. Continued development of the TWSC, and EEG–EMG fusion techniques will ultimately result in wearable devices that are able to adapt to changing loads more effectively, serving to improve the user experience during operation

Project based-learning based on I-STEM (Islamic, Science, Technology, and Mathematics) to facilitate the development of geometric critical thinking skills of first middle students

In line with the 21st century, mathematics learning innovations continue to be developed to facilitate students' critical thinking skills by adjusting the context of their religious life. The purpose of this study is to provide ideas that teachers can do to implement Project Based Learning (PjBL) with a STEM (I-STEM) approach that is used to facilitate the development of students' critical thinking skills. The pattern of integration that is designed lies in the flat plane geometry material with the integration of the verses of the Koran and the internalization of Islamic values, with the hope of being able to create meaningful learning activities for students. This research is a qualitative research with library research. Data collection techniques are carried out through reviewing the literature, both from articles, books, and other documents that can be used to describe theories and information needed in research. The data analysis technique used is content analysis (content analysis). The results of this study are the I-STEM-based PjBL syntax includes 1) basic questions (integration with the verses of the Koran presented in the LKPD); 2) designing project plans (miniature Kaaba); 3) draw up a project completion schedule; 4) monitor project progress; 5) test project results (and compare with other problems); and 6) evaluate the learning experience. I-STEM-based PjBL was developed to facilitate the development of students' critical thinking skills through syntax and LKPD which were developed adapted to the context of Islamic life and the Koran at the junior high school level

INTER-ENG 2020

These proceedings contain research papers that were accepted for presentation at the 14th International Conference Inter-Eng 2020 ,Interdisciplinarity in Engineering, which was held on 8–9 October 2020, in Târgu Mureș, Romania. It is a leading international professional and scientific forum for engineers and scientists to present research works, contributions, and recent developments, as well as current practices in engineering, which is falling into a tradition of important scientific events occurring at Faculty of Engineering and Information Technology in the George Emil Palade University of Medicine, Pharmacy Science, and Technology of Târgu Mures, Romania. The Inter-Eng conference started from the observation that in the 21st century, the era of high technology, without new approaches in research, we cannot speak of a harmonious society. The theme of the conference, proposing a new approach related to Industry 4.0, was the development of a new generation of smart factories based on the manufacturing and assembly process digitalization, related to advanced manufacturing technology, lean manufacturing, sustainable manufacturing, additive manufacturing, and manufacturing tools and equipment. The conference slogan was “Europe’s future is digital: a broad vision of the Industry 4.0 concept beyond direct manufacturing in the company”