ABSTRACT
In a Project-Based Learning (PBL) environment, students are assigned to work on challenging and complicated projects. This environment suites the setting of teaching software engineering courses. Since software engineering not only requires students to gain practical knowledge but they also need to develop soft skills. These soft skills such as communicating, collaborating, being creative, and critically thinking, are essential in the 21st-century working environment. However, these skills are hard to develop during the pandemic of Covid-19 due to social distancing measurement. This paper presents an experience report of using PBL in an online classroom. We have conducted the self-assessment, in which the student's feedbacks have been summarized into positive, negative, and suggestive responses. These responses indicate that students can gain fundamental knowledge and experience in using soft skills when they learn in the PBL environment. Among various soft skills, we have found that collaboration skill can be improved the most. © 2022 IEEE.
ABSTRACT
A person's skin serves as a primary line of protection against harmful chemical exposure. During the Covid 19 out-break, customer-provider interactions on social media increased, leading to improvements of the intelligent system for accurate skin type analysis. However, optimizing image quality before further analysis is an important step for training and testing data. As a result, image enhancement technologies contribute to the improvement of image quality. In this paper, we presets a study of four image enhancement techniques for improving the image contrast and detail of facial skin images required for further skincare analysis and treatment. The techniques of image enhancement include Histogram Equalization (HE), Contrast Limited Adaptive Histogram Equalization (CLAHE), Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE), and Min-Max Contrast Stretching. The experimental results demonstrate that the CLAHE technique delivers the highest quality of clarity and also facilitates further image processing. © 2022 IEEE.