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Keyword: LearningEnhance Student Learning Experience in Cybersecurity Education by Designing Hands-on Labs on Stepping-stone Intrusion Detection
Stepping-stone intrusion has been widely used by professional hackers to launch their attacks. Unfortunately, this important and typical offensive skill has not been taught in most colleges and universities. In this paper, after surveying the most popular detection techniques in stepping-stone intrusion, we develop 10 hands-on labs to enhance student-learning experience in cybersecurity education. The…
Read MoreA New Topology Optimization Approach by Physics-Informed Deep Learning Process
In this investigation, an integrated physics-informed deep learning and topology optimization approach for solving density-based topology designs is presented to accomplish efficiency and flexibility. In every iteration, the neural network generates feasible topology designs, and then the topology performance is evaluated using the finite element method. Unlike the data-driven methods where the loss functions are…
Read MoreInitial Experiments using Game-based Learning Applied in a Classical Knowledge Robotics in In-Person and Distance Learning Classroom
This paper addresses experiments with Scratch-developed games in the robotics introduction course at the Federal University of Technology – Paraná. It aims at assisting learning of classical and initial robotics concepts. This proposal, similar to the classic 80s war tanks game on Atari 2600, was developed using an autonomous vehicle. In the first experiment, applied…
Read MoreComparison of Learning Style for Engineering and Non-Engineering Students
Educators should be considered the learning style of students so that the best practice approach can be applied in learning activities. As students understand their learning style, they will be able to integrate it into their learning process. Kolb Learning Style was the learning style that was widely used based on the theory of learning…
Read MoreWeb-based Remote Lab System for Instrumentation and Electronic Learning
Lab sessions in Engineering Education are designed to reinforce theoretical concepts. However, there is usually not enough time to reinforce all of them. Remote and virtual labs give students more time to reinforce those concepts. In particular, with remote labs, this can be done interacting with real lab instruments and specific configurations. This work proposes…
Read MoreXMDD as Key Enabling Technology for Integration and Organizational Collaboration: Application to E-Learning Based on NRENs
Collaborative E-learning is highly dependent on the well functioning of a complex socio-technical system that comprises information technology and various social processes. Large-scale infrastructures like the National Research and Education Networks (NRENs) provide access to research and educational resources and provide collaboration between educational and research organizations, thus providing a set of essential services for…
Read MoreElectroencephalogram Based Medical Biometrics using Machine Learning: Assessment of Different Color Stimuli
A methodology of medical signal-based biometrics has been proposed in this paper for implementing a human identification system controlled by electroencephalogram in respect of different color stimuli. The advantage of biosignal based biometrics is that they provide more efficient operation in simple experimental condition to ensure accurate identification. Red, Green, Blue (primary colors) and Yellow…
Read MoreThe Implementation of Straw Mulch Experiments to Increase Tomato (Lycopersicum esculentum Mill.) Production in Horticulture Learning
The increasingly rapid development of science and technology, as well as the influence of globalization has contributed to updates in educational so that one method taken by apply experiments in horticulture learning activities. This study aims to determine the effect of rice straw mulch on tomato production and the effectiveness of the implementation of this…
Read MoreFollow-up and Diagnose COVID-19 Using Deep Learning Technique
In recent days, the fast growth of populations leading to an increase in medically complicated cases, especially fast spread viral cases around the world. These phenomena increased demand on auto-diagnose systems to speed up the diagnosis process and reduce human contacts, especially for the COVID-19 pandemic using deep learning (DL). DL methods can successfully carry…
Read MoreDevelopment of an EEG Controlled Wheelchair Using Color Stimuli: A Machine Learning Based Approach
Brain-computer interface (BCI) has extensively been used for rehabilitation purposes. Being in the research phase, the brainwave based wheelchair controlled systems suffer from several limitations, e.g., lack of focus on mental activity, complexity in neural behavior in different conditions, and lower accuracy. Being sensitive to the color stimuli, the EEG signal changes promises a better…
Read MoreIndonesian Music Emotion Recognition Based on Audio with Deep Learning Approach
Music Emotion Recognition (MER) is a study to recognize emotion in a music or song. MER is still challenging in the music world since recognizing emotion in music is affected by several features; audio is one of them. This paper uses a deep learning approach for MER, specifically Convolutional Neural Network (CNN) and Convolutional Recurrent…
Read MoreTeaching/Learning Strategies in Context of Education 4.0
Coronavirus pandemic and transition to distance learning have significantly accelerated the introduction of Education 3.0 – 4.0 technologies into traditional educational process. This paper discusses questions of training of IT- specialists in context of Education 4.0. Based on our experience, approaches to the organization of the educational process of IT- students are considered. It is…
Read MoreDesign Approach of an Electric Single-Seat Vehicle with ABS and TCS for Autonomous Driving Based on Q-Learning Algorithm
Compared to other types of autonomous vehicles, the single-seat is the simplest when designing, since its compact design makes it an option that can simplify different mechanical aspects and enhance those of greater importance such as the steering and the braking system. Likewise, the electronic and electrical design may be a great improvement on the…
Read MoreStudents’ Preparedness to Learn in e-Learning Environment and their Perception on The MPKT Lecturers’ Readiness to Manage Online Class
This study has two objectives: to determine the level of readiness of first-year undergraduate students at the Universitas Indonesia (UI) and to investigate student’s perception of MPKT (Integrated Character Development course) lecturers’ readiness to manage online learning class. Proportional cluster sampling was applied, and 1466 freshmen from thirteen faculties participated. Data clustering and imputation of…
Read MoreImplementation of Blended Learning Models to Improve Student Learning Outcomes in Junior High School
The purpose of this study is to determine the improvement of the competence of junior high school students through the application of blended learning models. This is a Classroom Action Research comprising of two cycles and two observations of student activities, with the descriptive statistics used for data analysis. From the results of the learning…
Read MoreThe Impact of eLearning as a Knowledge Management Tool in Organizational Performance
This paper aims to understand the impact of eLearning capabilities on organizational performance. It also addresses the obstacles of organizational learning using eLearning methods and highlighting some emerging trends and technologies that will impact the eLearning experience in organizations. It examines a brief history of knowledge management and how it is related to learning, organizational…
Read MoreDiagnosis of Tobacco Addiction using Medical Signal: An EEG-based Time-Frequency Domain Analysis Using Machine Learning
Addiction such as tobacco smoking affects the human brain and thus causes significant changes in the brainwaves. The changes in brain wave due to smoking can be identified by focusing on changes in electroencephalogram pattern, extracting different time-frequency domain features. In this aspect, a laboratory-based study has been presented in this paper, for assessing the…
Read MoreMobile Application Design for Student Learning
The research objectives were to identify, analyze needs, as well as designing a mobile application for student online learning at PT. Ruang Raya Indonesia, particularly in the process of working on tasks assigned by the teacher. The methods used in this research are data collection method using Slovin theory, systems analysis by focusing on the…
Read MoreRecording of Student Attendance with Blockchain Technology to Avoid Fake Presence Data in Teaching Learning Process
University operational activities are a routine part of university operations and supervisory control and monitoring function. The low controlling and monitoring of operational activities can cause irrelevance in the teaching and learning process. A graduate may have a graduation document but has never attended the teaching and learning process. An official institution can issue this…
Read MoreA Recommendation Approach in Social Learning Based on K-Means Clustering
E-learning, among the most prominent modes of learning, offers learners the opportunity to attend online courses. To improve the quality of online learning, social learning through social networks promotes interaction and collaboration among learners. As part of the learning process management in these environments, the implementation of recommendation systems facilitates the provision of content adapted…
Read MoreMultiple Machine Learning Algorithms Comparison for Modulation Type Classification Based on Instantaneous Values of the Time Domain Signal and Time Series Statistics Derived from Wavelet Transform
Modulation type classification is a part of waveform estimation required to employ spectrum sharing scenarios like dynamic spectrum access that allow more efficient spectrum utilization. In this work multiple classification features, feature extraction, and classification algorithms for modulation type classification have been studied and compared in terms of classification speed and accuracy to suggest the…
Read MoreComparison of Machine Learning Parametric and Non-Parametric Techniques for Determining Soil Moisture: Case Study at Las Palmas Andean Basin
Soil moisture is one of the most important variables to monitor in agriculture. Its analysis gives insights about strategies to utilize better a particular area regarding its use, i.e., pasture for cows (or similar), production forests, or even to answer what crops should be planted. The vertical structure of the soil moisture plays an important…
Read MoreLearning Path Recommendation using Hybrid Particle Swarm Optimization
Revised Bloom’s Taxonomy (RBT) is proposed in general to look more forward in responding to the demands of the developing educational community, including how students develop and learn and how teachers prepare Learning Objects (LO). The variety of characteristics of students’ abilities in a class has always been a problem that is often faced by…
Read MoreDeep Learning based Models for Solar Energy Prediction
Solar energy becomes widely used in the global power grid. Therefore, enhancing the accuracy of solar energy predictions is essential for the efficient planning, managing and operating of power systems. To minimize the negatives impacts of photovoltaics on electricity and energy systems, an approach to highly accurate and advanced forecasting is urgently needed. In this…
Read MoreDistance Teaching-Learning Experience in Early Childhood Education Teachers During the Coronavirus Pandemic
The purpose of the study was to describe the experiences of teachers in the distance teaching-learning process in early childhood education during the covid-19 pandemic. The methodology used was qualitative descriptive. Interviews were conducted with thirteen teachers from four state educational institutions at the infant level in Lima city through the virtual platform. As a…
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