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Topic Review
Problem-Based Learning and Gamification in Engineering Education
This research explores the integration of problem-based learning, gamification, and data-driven approaches in engineering education. By tackling real-world issues like automated teller machine (ATM) burglaries in Rhineland-Palatinate (Germany), students gained experience in data analyses and geoinformatics technology. This approach not only motivated students but also enhanced their prospects in science, technology, engineering, and mathematics (STEM) fields, equipping them with skills necessary for their future careers. The course structure emphasized student-centered learning, with educators playing facilitative roles to provide guidance. In summary, the combination of problem-based learning, gamification, and data-driven approaches offers a promising solution to address the challenges faced by STEM education, providing an engaging and effective learning experience for students, and ultimately preparing them for the demands of the ever-evolving professional landscape.
  • 127
  • 15 Dec 2023
Topic Review
Emotion Recognition Systems
Emotion recognition systems (ERS) are an emerging technology with immense potential, exemplifying the innovative utilization of artificial intelligence (AI) within the context of the fourth industrial revolution (IR 4.0). Given that personalization is a key feature of the fifth industrial revolution (IR 5.0), ERS has the potential to serve as an enabler for IR 5.0. Furthermore, the COVID-19 pandemic has increased the relevance of this technology as work processes were adapted for social distancing and the use of face masks. Even in the post-pandemic era, many individuals continue to wear face masks. Therefore, ERS offers a technological solution to address communication challenges in a masked world. The existing body of knowledge on ERS primarily focuses on exploring modalities or modes for emotion recognition, system development, and the creation of applications utilizing emotion recognition functions.
  • 119
  • 14 Nov 2023
Topic Review
Around View Monitor-Based Visual Simultaneous Localization and Mapping
Accurately estimating the pose of a vehicle is important for autonomous parking. The study of around view monitor (AVM)-based visual Simultaneous Localization and Mapping (SLAM) has gained attention due to its affordability, commercial availability, and suitability for parking scenarios characterized by rapid rotations and back-and-forth movements of the vehicle. 
  • 167
  • 18 Oct 2023
Topic Review
Categories of Point Cloud Segmentation Methods
Laser point clouds have been widely used in many fields, such as autonomous driving, augmented reality and so on. Point cloud classification and segmentation are key to scene understanding. Therefore, many scholars have systematically studied point cloud classification and segmentation. Machine learning approaches are the most commonly used data analysis methods. In the field of point cloud data analysis, deep learning is used for point cloud classification and segmentation. To improve the accuracy of point cloud classification and segmentation, some researchers have drawn on image methods to handle point clouds. 
  • 343
  • 16 Oct 2023
Topic Review
Global Navigation Satellite System, Datums and Mapping Accuracy
Current Global Navigation Satellite System (GNSS)-based geodetic techniques allow up to millimeter accuracy in positioning to be achieved globally, and high-precision mass-market positioning is becoming available to an accuracy of 5–10 cm.
  • 932
  • 12 Oct 2023
Topic Review
Thermal Analysis in Biomass Combustion
Driven by its accessibility, extensive availability, and growing environmental consciousness, solid biomass has emerged as a viable alternative to enhance the diversity of renewable energy sources for electricity generation. To understand the phenomena involved in solid biomass conversion, it is necessary not only to understand the stages of the biomass combustion process but also to understand specifically the kinetics of the reaction and the release of the volatiles.
  • 326
  • 07 Oct 2023
Topic Review
Sensing Mobility and Routine Locations
The COVID-19 pandemic affected many aspects of human mobility and resulted in unprecedented changes in population dynamics, including lifestyle and mobility. Recognizing the effects of the pandemic is crucial to understand changes and mitigate negative impacts. Spatial data on human activity, including mobile phone data, has the potential to provide movement patterns and identify regularly visited locations. Moreover, crowdsourced geospatial information can explain and characterize the regularly visited locations. The analysis of both mobility and routine locations in the same study has seldom been carried out using mobile phone data and linked to the effects of the pandemic. 
  • 81
  • 18 Sep 2023
Topic Review
Lattice Boltzmann Modelling and Application in Material Processing
A variety of particle-based methods have been developed for the purpose of computationally modelling processes that involve, for example, complex topological changes of interfaces, significant plastic deformation of materials, fluid flow in conjunction with heat transfer and phase transformation, flow in porous media, granular flow, etc. Being different from the conventional methods that directly solve related governing equations using a computational grid, the particle-based methods firstly discretize the continuous medium into discrete pseudo-particles in mathematics.The methods then mathematically solve the governing equations by considering the local interaction between neighbouring pseudo-particles. Such solutions can reflect the overall flow, deformation, heat transfer and phase transformation processes of the target materials at the mesoscale and macroscale.
  • 154
  • 29 Aug 2023
Topic Review
Techniques of Image Encryption For Medical Applications
In medical information systems, image data can be considered crucial information. As imaging technology and methods for analyzing medical images advance, there will be a greater wealth of data available for study. Hence, protecting those images is essential. Image encryption methods are crucial in multimedia applications for ensuring the security and authenticity of digital images. 
  • 866
  • 29 Aug 2023
Topic Review
Web Open-Source Projects Based on Java and PHP
During website development, the selection of suitable computer language and reasonable use of relevant open-source projects is imperative. Although the two languages, PHP and Java, have been extensively investigated in this context, there are not many security test reports based on their open-source projects.
  • 183
  • 24 Aug 2023
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