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A pseudo-holographic display is a display that creates a virtual three-dimensional image of an object, producing viewing experiences that are virtually indistinguishable from viewing a true hologram.
In the upcoming issue of BRAIN Journal the researchers Monica Ciobanu, Antoanela Naaji, Ioan Dascal, and Ioan Virag will present in their paper “Pseudo-holographic Displays as Teaching Tools in Mathematics” an innovative approach for the education system. This team of researchers came up with the idea of creating and implementing a set of interactive teaching tool packages (ITTPs) to help students grasp abstract mathematical notions by linking them to a specific physical representation.
Because of their ability to reproduce the biological neural networks, ANNs (Artificial neural networks) have found uncountable applications to a wide range of disciplines. Simina Maris, Titus Slavici, Petre Nenu and Liliana Baciu will present in the latest volume of BRAIN journal an article about the usage of artificial intelligence, especially artificial neural networks (ANNs), in the development of an efficient research plan for studying the quality of finite products, in particular wood briquettes obtained from various biomass mixtures.
Their work is a response to the needs expressed by a private company (SC Andrei Slavici SRL) searching for innovation in the production of wood pellets and briquettes on the market of nonconventional bio-fuels.
In this era of technology, it cannot come as a surprise that E-Commerce sites have become a significant part of the user’s online activity. In order for these websites to remain relevant to the visitors over long periods of time, attention should be brought to their efficiency and effectiveness when it comes to their interactivity dimensions. The study The Analysis of E-Commerce Sites with Eye-Tracking Technologies – written by O. Dospinescu and A. E. Percă-Robu – is examining the effects of the interactivity dimensions on users’ content comprehension and their attitudes towards e-commerce websites by using eye-tracking technologies.
Various fields use the eye tracking technology to assess the visual attention, but when considering the decision-making process, the specialized literature acknowledge that the eye movements are directly linked to peoples’ cognitive goals. By investigating the website’s interactivity dimensions, the authors explore the visual process and drawing the time spent on the site or on various regions of it. Dospinescu and Percă-Robu assume that a high level of interactivity leads to a favourable attitude towards the website, therefore it is important for the content creators to pay attention to the ease of use and the visual elements of their E-Commerce bussiness.
In the field of computer vision and pattern recognition, face orientation recognition stands as a significant topic. In the paper A Robust Approach of Facial Orientation Recognition from Facial Features, the authors Stefan Andrei, Kishor Datta Gupta, Md Manjurul Ahsan and Kazi Md. Rokibul Alam introduce us to an image mapping technique for face analysis.
The methodology of the study consists of two main phases: Face Feature Extraction and creating the graph image, and Matching Graph image with stored images. The Face Feature Extraction presents four steps that include Face Detection, Feature Extraction, Obtaining Feature Data and Creating image with these data.
The first step in facial feature detection is detecting the face. This requires analyzing the entire image. The second step is using the isolated face(s) to detect each feature. The technique of this study relies on the four main features of the face: left eye, right eye, nose, and mouth. It is mandatory to obtain the positions, size, height, width, and angle of these features respective to each face. By acquiring the data from the features, a new picture including the model and shape of the face is created.
BRAIN: Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics
In order to ensure optimal teaching conditions for university students, attention should be brought to their personality traits and academic performance. In the paper Personality Questionnaires as a Basis for Improvement of University Courses in Applied Computer Science and Informatics, the authors Vladimir Ivančević, Marko Knežević, and Ivan Luković present the foundation for such an adaptation of the teaching process, supported by an analytical software solution (in its initial version).
The software solution presents two main components: a data warehouse for storing collected data and an analytical software tool (built using the Shiny framework). The data warehouse contains collected data about student academic performance and personality traits, while the analytical tool is a web application that retrieves data from the data warehouse or external CSV files matching the required structure and allows analysts to perform exploration and analysis of data concerning student performance and personality.
In neurology and neuroscience research, Steady-State Visually Evoked Potential (SSVEP) are brain signals which occur in response to visual stimulation. The paper Novel Detection Features for SSVEP Based BCI: Coefficient of Variation and Variation Speed – written by Abdullah Talha Sözer and Can Bülent Fidan – aims to introduce novel detection features for the SSVEP based brain computer interfaces. Brain-computer interface (BCI) is a collaboration between a brain and a device that enables signals from the brain to direct some external activity, such as control of a cursor or a prosthetic limb. The interface enables direct communication between the brain and the object to be controlled.
It is safe to affirm that in the present days, digital devices have become indispensable. However, the emotional state of the users of said devices tends to be ignored or considered a dispensable input. In order for a technology to be efficient, it is required to develop it in concordance with the humans’ emotional states when put in contact with said technology.
Cursor Movement – a Valuable Indicator in Intelligent System Design approaches this issue by introducing an innovative method of improving the analysis of digital device efficiency: cursor movement. This paper – written by Versavia-Maria Ancusa and Ciprian-Maniu Dragoe – aims to present a method used to read user behavior in a working computer environment.
When talking about advertisements, one would certainly link them to the word “symbol”, as the advertisements prepare for the products that they recommend a rich symbolic life. Since the products are different, the symbolic life should also be creative and different. More than that, this is exactly the reason why symbolism is linked to commerce: because the producers are numerous and their goods similar. So, in order to differentiate their goods, the producers seem to transform them into symbols, to assign values to them.
The paper written by Costin Popescu explains some practices of advertising, mainly: visual symbolic potential stressed by verbal commentaries, product’s icon as part of a network of forms and Iconic network claimed by the brand. All of the explanations contain examples and photos in order to support the opinion. The third section of the article includes the interpretations of Boucheron’s Jaïpur. It was launched in the mid-1990s and generated a lot of discussions. It was compared to a lot of other advertisments and linked to different conceptions. The nutcracker in Cincinnati, on which the four forms dance, and advertising from the 1990s, mainly Coco. L’esprit de Chanel which shows a woman on a pedestal with stairs is brought into discussion.
BRAND: The Influence of Organizational Commitment and Motivation in the Relationship between Budget Participation and Managerial Performance (Empirical Study on Provincial Government Agencies (SKPA) of Aceh Province, Indonesia)
The paper The Influence of Organizational Commitment and Motivation in the Relationship between Budget Participation and Managerial Performance (Empirical Study on Provincial Government Agencies (SKPA) of Aceh Province, Indonesia) was written by Muslim A. Djalil, Mirna Indriani and Muttaqin.
Government employees, which have the function of planning and implementing activity programs to provide public service, are the most important element in improving the performance of local government. Mainly, the local government needs to improve its performance in providing public service. Two things are very important when talking about this: the budget management in the public sector (if it goes well, the organizational goal of government to improve the public welfare can be achieved) and managerial performance (the managerial performance comes hand in hand with the ability of the employees). Consequently, we can observe that the objective of this article is to test whether organizational commitment and motivation mediate the relationship between budget participation and managerial performance.