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 - Aitor Godoy, Ismael Rodriguez, Fernando Rubio Abstract - In this paper we present a series of algorithms to calculate the power of each political party in a parliamentary system. For this purpose, it is necessary to calculate the proportion of parliamentary majorities in which their participation is necessary. The usefulness of the proposed methods is illustrated with a real case study: the Spanish electoral system. For this system, we analyze all the elections that have taken place since the establishment of democracy in the country. For each electoral process, we compare the power that each party would have if the allocation of deputies were proportional to the number of votes, and the real power it has with the current electoral system. The results obtained contradict intuitions that the Spanish population usually has about its own electoral system.
Authors - Edura Halim, Azman Mohamed, Mohamad Syazli Fathi, Zeeshan Aziz Abstract - Roads and highways largely contributes to the growth and development of a country. This paper focuses on enhancing present road safety assessment tools and techniques in line with Safe Roads, one of the pillars of the Safe System. Road Infrastructure Safety Management (RISM) is a comprehensive approach to road safety that involves a set of procedures with systematic identification, assessment, and management of risks associated with road infrastructure. This paper presents a SWOT analysis of tools used in RISM during the design stage including Road Safety Audit (RSA), Road Safety Impact Assessment (RSIA), Road Safety Screening and Appraisal Tools (RSSAT), Star Rating for Designer (SR4D) and Safe System Assessment (SSA). Conceptual framework of Intelligent Road Safety Assessment for Designer (IRSA4D) has been developed to utilized and address the findings on the SWOT analysis of RISM tools. IRSA4D application is aimed to facilitate road designers in providing proactive safety assessment and recommendations for improvement through intelligent static and dynamic assessment. The application is deemed to be valuable in assisting road designers in spite of their level of knowledge and working experiences as well as providing aid in producing the optimum and ‘best’ design during design stage.
Authors - Balendra, Neeraj Sharma, Shiru Sharma Abstract - Brain-Computer Interface (BCI) technology stands at the forefront of interdisciplinary research, merging neuroscience, engineering, and computer science to forge direct communication channels between the human brain and external devices. BCI based devices has tremendous applications in prosthetic device development. The challenges in real-time practical BCI implementation are due to the bulky models, inherent noises, artifacts and complexity of motor imagery (MI) electroencephalogram (EEG) data with inter-subject and intra-subject variabilities. To overcome these challenges, the proposed algorithm introduces a modified EEG Morlet (MEM) wavelet having a better time bandwidth product leading to detailed feature extraction with capability of natural filter for artifacts and noises introduced by eye blinking and muscle movements. Further, the proposed approach utilizes Hilbert transform to extract temporal features of analytical signal, extract their common spatial patterns, calculates the continuous wavelet transform (CWT) coefficients, arrange these coefficients at different scale for each channel, calculates the cross-correlation for each scale and observes the evolution in cross-correlation matrices at different scale with the help of customized long-short term memory (LSTM) neural network to classify MI EEG. The customized LSTM architecture had the size of 1.93MB showing the effectiveness of methodology for MI EEG classification of embedded based devices. The best classification accuracy achieved by MEM wavelet with instantaneous magnitude temporal feature was 83.78% and the comparative analysis with earlier state of the art methods showed an improvement of 1.10% in accuracy.
Authors - Ahmed D. Alharthi Abstract - Traditional proficiency and qualification criteria in crowd-based requirements engineering (CrowdRE) often fall short when identifying the most capable individuals for critical tasks such as elicitation and analysis. While crowd profiles typically account for demographic information like gender and nationality, they frequently overlook personality traits, which can significantly influence task performance. This study addresses this limitation by examining the relationship between personality traits and key requirements engineering (RE) activities within CrowdRE environments. We propose an automated system that incorporates personality profiling into task assignment processes, enhancing the precision of matching individuals to specific RE tasks. By employing data fusion techniques and decision-making algorithms, the system improves the efficiency and effectiveness of task allocation. An empirical investigation is conducted to highlight the impact of personality traits on the success of RE tasks and the need to incorporate these factors into task assignment strategies. The findings contribute to developing intelligent, human-centred collaboration technologies that optimise workflows in crowd-sourced environments. This research underscores the importance of personality traits in improving task performance and collaboration within large-scale ICT systems, aligning with the broader objective of enhancing task allocation in the context of modern collaboration technologies.
Authors - Youssef Baklouti, Tarik Echcherqaoui, Ines Abdeljaoued-Tej Abstract - This release introduces an innovative interactive chatbot designed to engage with sensitive enterprise data. Leveraging Azure Machine Learning Promptflow and Retrieval-Augmented Generation (RAG) architecture, the chatbot facilitates secure data retrieval and generation within the enterprise environment. To assess the model’s performance, we utilized over 10 query examples, providing ground-truth and context data. Evaluation strategies included system-based metrics like the F1-Score, which yielded an average score of 0.59, and AI-evaluating- AI metrics such as Coherence, Groundedness, Similarity, Fluency, and Relevance, scoring 4.50, 4.20, 4.50, 4.10, and 4.40 respectively. While AI-evaluating-AI strategies showed decent scores, the relatively low F1- Score indicates potential for improvement through fine-tuning or selecting a more suitable vector database. Overall, this interactive solution not only enhances internal operations but also demonstrates AI’s potential in automating and streamlining complex processes.
Authors - Azam Syukur Rahmatullah, Nurul Fithriyah Awaliatul Laili, Akbar Nur Aziz Abstract - This study explores the root of social pathologies in the industrial era 4.0, which young and old adolescents in Indonesia carry out. Social pathological behavior that is carried out is quite dangerous to the existence of the nation and state if not handled early. This type of research is qualitative research that is directly studied in the field to find out what causes social pathologies in this industrial era 4.0 and how to solve them. The research approach is phenomenology because it wants to thoroughly explore three (3) informants, experts in the parenting field, taken from the Yogyakarta area of Indonesia, who were interviewed directly by the researcher. The data obtained was then analyzed in depth with phenomenological analysis. The study results show several anomalous social behaviors in the industry 4.0 era caused by parenting in families that are not positive. Hence, they continue until adolescence, adulthood, and even old age. Inconsistency in parenting and failure in parenting cause children to grow into unhealthy individuals and have sick souls so that on their way, they become people who deviate from their behavior. Therefore, healthy and positive parenting must be encouraged early, including in rural and urban areas. Some positive parenting movement programs that should be implemented early on include creating a healthy parenting movement nationally, creating village and city parenting homes nationally, and making instructors and families healthy home companions nationally.
