10th International Congress on Information and Communication Technology in concurrent with ICT Excellence Awards (ICICT 2025) will be held at London, United Kingdom | February 18 - 21 2025.
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Authors - Karen McCall, Bevi Chagnon Abstract - The advent of the Internet and digital content has underscored the need to ensure equal access to data tables for individuals with disabilities, particularly those who are blind. However, the conventional 'one size fits all’ solutions, akin to Alt Text, have proven inadequate in the face of the growing volume of complex digital data tables. This paper presents research findings that could significantly enhance the accessibility of complex data tables for all users. Past and current research typically focuses on two areas of digital table access: HTML and PDF, and simple rather than complex data tables [1] [2] [3] [4]. For those using screen readers, basic information about a data table is provided with two options. It is either a “uniform” or simple data table or a “non-uniform” complex data table, which can have potential accessibility barriers such as merged or split cells. This paper provides insight and the results of original research in the form of an end-user survey on the multifaceted accessibility barriers of complex data tables. The research highlights that any solution designed for those using screen readers can benefit everyone — regardless of their abilities — in understanding complex data tables. This inclusive approach not only underscores the value of our work to all users, making them feel included and valued, but also holds the promise of a more accessible digital future across all digital technologies and media formats and for all users.
Authors - Luz Norma Caisal, Mocha-Bonilla Julio A. Abstract - The so-called digital era in which we live together with Learning and Knowledge Technologies (LKT) have radically transformed the form and methods of teaching and learning, LKT are tools that have evolved digital teaching towards the creation of learning experiences personalized and meaningful. One of the application contexts focuses on the teaching of Physical Education, an area that presents a wide variety of strategies in the teaching-learning process, therefore, Physical Education is an area where various technological tools can be incorporated for teaching. and practice of Physical Education. We worked with a group of students belonging to the third year of the Unified General Baccalaureate, the sample was made up of 84 students, who are aged ±16 years, as an instrument a structured questionnaire with polytomous questions distributed in three sections was used, the processing and Data analysis was carried out using the IBM SPSS Statistics version 24 package. The results in the first section reflect that students feel satisfied or very satisfied when practicing physical education; In the second section, it could be assumed that 89% of the students, the vast majority, used, applied and improved their learning thanks to learning and knowledge technologies in the physical education teaching process; Finally, in the third section, the use of the most used technological tools such as Genially, Google Meet, Kahoot, Moodle platform, Prezi and Socrative is emphasized. It is concluded that in physical education the application of Kinovea in physical education processes is essential to improve movement human.
Authors - Robert, Tubagus Maulana Kusuma, Hustinawati, Sariffudin Madenda Abstract - The process of forming a good dataset is a very decisive step in the success of a facial expression recognition/classification system. This paper proposes 24 scenarios for the formation of facial expression datasets involving the Viola-Jones face detection algorithm, YCbCr and HSV color space conversion, Local Binary Pattern (LBP), and Local Monotonic pattern (LMP) feature extraction algorithms. The results of the 24 dataset scenarios were then formed into five dataset categories to be used as training datasets and testing of two Machine Learning calcification models, namely Support Vector Machine (SVM) and Convolutional Neural Network (CNN). The SVM classification model is designed using four different kernels: radial, linear, sigmoid, and polynomial basis functions. Meanwhile, the CNN classification model uses the MobileNetV2 architecture. From testing the five categories, the best accuracy result is 83.04% provided by the SVM classifier that uses the sigmoid kernel and a combined dataset of LBP and LMP features extracted to focus only on the facial area from the results of the Viola- Jones face detection algorithm. In addition, for the CNN classifier, the best accuracy was obtained at 82.14% by using the Y-grayscale dataset which also focuses only on the facial area but without the feature extraction process. The results of the best accuracy for the two classifiers show that the face detection stage plays an important role in the facial expression recognition/classification system. The LBP and LMP algorithms are good enough to use for feature extraction in forming datasets in the SVM classification model.
Authors - Toufik Mechouma, Ismail Biskri, Serge Robert Abstract - This paper introduces Syntax-Constraint-Aware BERT, a novel variant of BERT designed to inject syntactic knowledge into the attention mechanism using augmented Lagrange multipliers. The model employs syntactic dependencies as a form of ground truth to supervise the learning process of word representation, thereby ensuring that syntactic structure exerts an influence on the model’s word representations. The application of augmented Lagrangian optimisation enables the imposition of constraints on the attention mechanism, thereby facilitating the learning of syntactic relationships. This approach involves the augmentation of the standard BERT architecture through the modification of the prediction layer. The objective is to predict an adjacency matrix that encodes words’ syntactic relationships in place of the masked tokens. The results of our experiments demonstrate that the injection of syntactic knowledge leads to improved performance in comparison to BERT in terms of training time and also on AG News text classification as a downstream task. By combining the flexibility of deep learning with structured linguistic knowledge, we introduce a merge between bottomup and top-down approaches. Furthermore, Syntax-Constraint-Aware BERT enhances the interpretability and performance of Transformerbased models.
Authors - Anda Batraga, Tatjana Volkova, Jelena Salkovska, Liene Kaibe, Didzis Rutitis, Eduards Aksjonenko, Marta Kontina Abstract - As AI develops, it is becoming increasingly important in digital marketing processes. AI has become an essential part of the digital marketing world, enabling businesses to reach their customers faster and to improve their business operations by automating some of the simplest tasks. Through technology transfer, AI brings significant improvements offering new opportunities and creative approaches to achieving the goals of a digital marketing strategy. The aim of this study is to investigate and analyse the possibilities of using AI in digital marketing strategy in order to draw conclusions and make proposals on the possibilities of improving digital marketing strategy in Latvian companies using AI. The results show that the transfer of AI technology can provide companies with several advantages. The need for a well-thought-out technology transfer is emphasised by the experts in order to make the technology work and help the company achieve its goals.
Authors - Lerato Mashiloane, Khutso Lebea Abstract - Since the beginning of the internet, there has been a continuous effort to secure and encrypt data transmitted through web browsers. The acronym VPN stands for "Virtual Private Network", which refers to the capability of creating a secure network connection while using public networks. Commercial and defence organisations have also adopted virtual private networks because they offer secure connectivity at reduced costs. The research paper will discuss what VPNs are, their importance and the mechanics behind them to give users an understanding of their highest level of security. The paper will look further at factors to consider when choosing a VPN and the balance between security and performance.
