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Vol. 10, No. 01 [January 2024]

Paper Title :: Research on Feature Enhancement and Rendering of Weak Invisible Video Anti Counterfeiting Images
Author Name :: Yating Liu || Wenqiu Luo || Peng Cao
Country :: China
Page Number :: 01-06
The information in weak invisibility images is often difficult to detect, and enhancing them has practical value. This article mainly adopts a weak invisible image hidden information extraction algorithm based on color channel feature extraction and multi threshold segmentation fusion comparison, as well as an enhanced rendering algorithm based on anti-counterfeiting information. It has a practical mechanism in extracting anti-counterfeiting information, enhancing visibility, improving visual quality of images, and detecting anti-counterfeiting images.
Key Words: weakly invisible anti-counterfeiting images; image information enhancement; FFmpeg; information visibility; printing quantum dots
[1] Liu Li, Yang Wenjie, Wang Yating, etc Research progress on the application of information technology in anti-counterfeiting of printing and packaging [J] Packaging Engineering, 2019, 40 (9): 216-223.
[2] Gu Yaru Design and Implementation of a Video Analysis System for Private Car Occupation of Bus Lanes Based on Distributed Services [D]. Shanghai. East China Normal University, 2022.
[3] Wang Lijun, Cao Peng Research on NFT Digital Art Image Generation Algorithm Based on Handwritten Character Information Modulation [J] Research on Printing and Digital Media Technology, 2023, (03): 109-118.
[4] Qiu Yingying, Cao Peng Reliability encoding and decoding algorithm for printed quantum dot matrix information [J] Computer Science and Application, 2023, 13:617.
[5] Ma Jingyun. Research and implementation of vein image enhancement algorithm[D].Hefei University of Technology,2021.


Paper Title :: Analyzing Survival Factors of the Titanic Disaster: A Logistic Regression Approach
Author Name :: Maria Nascimento Cunha || Jorge Figueiredo || Isabel Oliveira || Manuel Maçães || Silvia Costa Pinto
Country :: Portugal
Page Number :: 07-19
Since that fateful and chilly dawn of April 15, 1912, the world has witnessed the construction of larger ships, some already dismantled or lying, solitary, in the darkness of the bottom of the oceans and others still in circulation. However, no other ship has become as famous and significant for popular naval and imaginary history as the Royal Mail Ship Titanic. The RMS Titanic joined the imaginary of the navy, literature and cinema. It fed the dreams and nightmares of generations, from the one from 1912 who was perplexed to receive the news of the disaster to the our present generation that has it in the ambivalence of an engineering feat of its time, as well as a fruit of the arrogance of its creators.
Its history is known to all and its data used in many studies. It should be mentioned that these data are composed of records of various variables and of various natures. In addition, they are easily generalizable to several other situations.
In this study the researcher will make use of the regression models. This model are one of the most important statistical tools in data analysis when the objective is to study relationships between variables, or more particularly, to analyze the influence that one or more variables (explanatory variables) may have on a variable of interest (response variable).
The purpose of this study is to describe in detail the construction of this type of model using a dataset on the Titanic tragedy.
Key Words: Titanic; Statistics; regression models.
[1]. Afonso, A. & Nunes, C. (2019). Probabilidades e estatística - Versão revista e aumentada Editora: Universidade de Évora.
[2]. Agresti, Alan (2002). Categorical Data Analysis. Wiley.
[3]. Alvarenga, A.M.T (2015).Modelos lineares generalizados: aplicação a dados de acidentes rodoviários, Tese de Mestrado, Dept. Estatística e Investigação Operacional, Faculdade de Ciências, Universidade de Lisboa.
[4]. Faraway, J.(2006), Extending the Linear Model with R, Chapman and Hall Ltd, London
[5]. Hosmer, D. W., and Lemeshow, S. (2013). Applied Logistic Regression. Wiley.


Paper Title :: Motivating Students for Success: A Review of New Projects in Teaching Based on STEM Education
Author Name :: Maria Nascimento Cunha || Jorge Figueiredo || Isabel Oliveira || Manuel Maçães || Silvia Costa Pinto
Country :: Portugal
Page Number :: 20-26
Motivation involves emotional, social and biological phenomenons, being a factor responsible for directing behaviors and achieving goals. It drives individuals to give their best, doing their best to achieve what they want, overcoming barriers. Student motivation has become a central point to achieve maximum satisfaction, performance and productivity. Motivation is the driving force for work, being the quality of life a primordial principle, personal and organizational, fundamental in a university. In order to change the continuous waves of demotivation, teachers and researchers decided to change techniques and open horizons for new forms of teaching. STEM education is crucial to meet the needs of a changing world. STEM (science, technology, engineering and mathematics) education research provides compelling evidence that active-learning classes improve the overall learning of students. This study aims to understand thru a quantitative investigation how students see changes thru this new active learning students and how motivated are for this kind of changes.
Key Words: Stem education; motivation; pedagogy, technology, the digital revolution.
[1]. Carvalho, M. L. (2016). Qualidade de vida no trabalho versus condições psicossomáticas advindas do mercado de trabalho. REGRAD, UNIVEM/ Marília - SP, 9(1), 67- 84.
[2]. Cunha, M. N., Chuchu, T., & Maziriri, E. (2020). Threats, challenges, and opportunities for open universities and massive online open courses in the digital revolution. International Journal of Emerging Technologies in Learning (iJET), 15(12), 191-204.
[3]. Cunha, M.N. (2022). Active learning Students – A State of the Art about STEM Education. Current Research in Language, Literature and Education. Book Publisher International
[4]. Dourado, A. D. & Zambroni-De-Sousa, P. C. (2020). Motivação e Trabalho: investigação sobre a experiência dos jovens no primeiro emprego. Psicologia, Conocimiento y Sociedad, 10 (2), 6-29
[5]. Feldman, R. (2001). Motivação e Emoção. Compreender a Psicologia, Lisboa, 5ed, 323-359






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