{"title":"ACDSA 2024 Cover Page","authors":"","doi":"10.1109/acdsa59508.2024.10467923","DOIUrl":"https://doi.org/10.1109/acdsa59508.2024.10467923","url":null,"abstract":"","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"36 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Salivary Glucose Prediction System","authors":"L. Szolga","doi":"10.1109/ACDSA59508.2024.10467343","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467343","url":null,"abstract":"This paper focuses on developing a non-invasive device for monitoring glucose levels in saliva in the case of diabetes mellitus, addressing the global crisis of this disease. The proposed method utilizes human saliva samples to measure glucose levels instead of blood. This operates by transmitting light rays using an IR LED transmitter into the saliva sample, capturing the signals with an infrared receiver BPX43IV along with an amplifier to amplify the signals, processing the data through an Arduino microcontroller, and displaying them on an LCD screen. Experimental tests conducted on known samples with varying concentrations of glucose as well as on individuals with diabetes demonstrated the accuracy of the device and comparable measurements to blood glucose levels. The device shows promising potential but requires further research and validation to ensure accuracy and reliability in a broader demographic. This innovation could revolutionize glucose monitoring by providing a convenient and precise alternative to traditional methods.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"878 5","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Laurie L. Butgereit, M. Abugosseisa, Mohammed Elbashir
{"title":"Dynamic Reconfiguring of GPT-4 Based Tutors to Become GPT-4 Based Teachers in Underserved Areas in Africa and the Environs","authors":"Laurie L. Butgereit, M. Abugosseisa, Mohammed Elbashir","doi":"10.1109/ACDSA59508.2024.10467740","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467740","url":null,"abstract":"The popular GPT-4 API boasts excellent academic records of passing a number of standardized tests. As such it is used in a number of tutoring systems providing students and pupils with access to artificially intelligent tutors when help is not easily available. Tutoring and teaching, however, are different. In many underserved areas in Africa and the environs, students and pupils may attend formal school but then after hours no tutors are nearby to assist them with their studies and homework. Previous research by the authors has described mobile tutoring artifacts linking the popular Whatsapp mobile chat app with GPT-4 to provide that tutoring. In other underserved areas (especially in war torn areas), however, there may not be even teachers to provide the initial classroom instruction or Zoom based instruction. In such case these mobile tutoring artifacts need to be dynamically reconfigured to act as full teachers to these students. This paper describes the research to dynamically reconfigure GPT-4 based mobile tutors to become GPT-4 based mobile teachers wheGPT-4, chatGPT, Whatsapp, Tutoring, Java Programmingn necessary.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"361 ","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Classification of a Class of A2MDS codes and Application in Cryptography Algorithms","authors":"Bandana Pandey, Prabal Paul, C. Pradeep","doi":"10.1109/ACDSA59508.2024.10467553","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467553","url":null,"abstract":"This manuscript delves into q-ary linear codes, particularly focusing on their classification and properties. A q-ary linear code with parameters [n, k, n – k+1] is known as an MDS code. A q-ary linear code characterized by [n, k, n − k − (i − 1)] parameters is called an AiMDS code. An A2MDS code whose dual is also an A2MDS code is called an N2MDS code. This manuscript presents a comprehensive classification of most binary N2MDS codes. Additionally, we unveil a distinctive sub-class within A2MDS codes, notable for its intriguing access structure in code-based secret-sharing, promising novel avenues for secure information distribution.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"21 4","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Awad, Salah Kamel, Mohamed H. Hassan, Francisco Jurado
{"title":"Optimal Allocation of FACTS Devices in Power Systems: A Multi-Objective Optimization Approach with Consideration of Wind Generation Integration","authors":"A. Awad, Salah Kamel, Mohamed H. Hassan, Francisco Jurado","doi":"10.1109/ACDSA59508.2024.10467451","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467451","url":null,"abstract":"The presence of FACTS devices in the modern power systems nowadays is obvious for its important contributions, however, it is essential to get the optimal allocation for the installed FACTS devices in a given system to acquire the best outcomes regarding the required objective of such installations. In this paper, the optimal allocation of various FACTS devices is investigated using a number of optimization algorithms in standard IEEE 30 bus system, taking in consideration the penetration of wind generators into the system. The objective function of the optimization is reducing the generation cost and power losses as a multi-objective function. Several optimization algorithms are involved in this optimization process, including traditional and recent optimization algorithms. The outcomes of these optimization algorithms are compared, deducting the most efficient algorithm for optimal allocation of FACTS devices regarding the other optimization algorithms.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"507 ","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mobile-based Vaccine Tracking System using Ethereum Blockchain and QR Code","authors":"Indra Wahyudi, Parman Sukarno, Aulia Arif Wardana","doi":"10.1109/ACDSA59508.2024.10467308","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467308","url":null,"abstract":"In the current landscape of vaccine distribution, the pervasive threat of illicit distributors exploiting transaction data vulnerabilities raises serious concerns about vaccine safety and authenticity. To address this challenge, this research introduces an innovative blockchain-based system aimed at countering vaccine counterfeiting and enhancing the transparency of distribution processes. Leveraging Supply Chain Management principles, the system orchestrates the complexities of vaccine distribution, offering comprehensive visibility from central government initiation to healthcare professional administration via an intuitive mobile application. Blockchain technology strengthens data security, guarding against fraudulent activities, while the integration of QR codes expedites data processing and furnishes patients with detailed vaccine information. All transactions are executed through smart contracts, ensuring trust and transparency, with completed contracts securely recorded on the Ethereum blockchain. This research presents a groundbreaking solution to combat vaccine counterfeiting, establishing a resilient and transparent framework for distribution, providing real-time monitoring, and empowering patients and stakeholders with essential vaccine details. In summary, the amalgamation of Ethereum blockchain technology and QR codes in this mobile-based vaccine tracking system offers a transformative approach to fortify the safety and integrity of vaccine distribution, ultimately benefiting society as a whole.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"74 18","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmed Hamed Ahmed Adam, Jiawei Chen, Salah Kamel, J. Domínguez-García, Mohammed Hassan Ahmed
{"title":"Analysis of Power Losses and Evaluation Model for SiC MOSFET-based Triple Active Bridge Converter in Hybrid Electric Aircraft Applications","authors":"Ahmed Hamed Ahmed Adam, Jiawei Chen, Salah Kamel, J. Domínguez-García, Mohammed Hassan Ahmed","doi":"10.1109/ACDSA59508.2024.10467938","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467938","url":null,"abstract":"In this article, an analysis and evaluation of energy switch losses in the triple active bridge (TAB) converter for hybrid electric aircraft based on silicon carbide (SiC) is presented. The analysis evaluates various converter operation modes while considering voltage levels, switches (SiC Diode and SiC MOSFET), and transformer leakage inductance. Further, the study examines voltage conversion ratios and transformer parameters. The inductive clamp double pulse test (DPT) is used to experimentally determine the total switching energy loss of a SiC MOSFET under real working conditions. Simulation results are also presented to verify the accuracy of the theoretical analysis. The results confirm the effectiveness of SiC MOSFET modules in reducing power loss in the TAB converters.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"40 ","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Siniša M. Arsić, Marko M. Mihić, Dejan Petrović, Zorica M. Mitrović, S. Kostić, O. Mihic
{"title":"Review of measures for improving ML model interpretability: Empowering decision makers with transparent insights","authors":"Siniša M. Arsić, Marko M. Mihić, Dejan Petrović, Zorica M. Mitrović, S. Kostić, O. Mihic","doi":"10.1109/ACDSA59508.2024.10467907","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467907","url":null,"abstract":"This paper investigates actionable measures to enhance the interpretability of machine learning models, addressing the critical need for transparency in decision-making processes. By proposing and briefly comparing specific measures, this paper aims to empower common knowledge with clearer insights into model predictions, fostering trust and understanding. Theoretical findings and overall discussion encompass techniques for model explanation, feature importance, and interpretability tools, offering a comprehensive guide for practitioners seeking to clarify the black box nature of machine learning outputs. Findings suggest three methods for improving model interpretability. The outlined approaches prioritize real-world applicability, enabling managers to make informed decisions with confidence.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"798 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lucas Gonzalez, Kévin Bouchard, Julien Maître, S. Gaboury
{"title":"Adaptable Dashboards to Assist Semi Autonomous Persons in Smart Homes","authors":"Lucas Gonzalez, Kévin Bouchard, Julien Maître, S. Gaboury","doi":"10.1109/ACDSA59508.2024.10467538","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467538","url":null,"abstract":"Smart homes are enhanced housing facilities incorporating an array of sensors and harnessing artificial intelligence to offer a range of services to their occupants. With the global aging of the population, smart homes are envisioned as a means to enhance the independence of elderly individuals and implement tools for streamlined monitoring by caregivers. Despite an abundance of research on the algorithms driving their functionality, there is a notable scarcity of papers focusing on data representation. This paper introduces adaptable, open-source dashboards developed for the community. The system underwent validation using the System Usability Scale.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"776 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Davide Callegarin, Patrick Callier, Christophe Nicolle
{"title":"STDP-based Growing Neural Gas for Hierarchical Data Representation and Neural Networks Fusion","authors":"Davide Callegarin, Patrick Callier, Christophe Nicolle","doi":"10.1109/ACDSA59508.2024.10467325","DOIUrl":"https://doi.org/10.1109/ACDSA59508.2024.10467325","url":null,"abstract":"Research in neurophysiology led to greater comprehension of the mechanisms involved in synaptic plasticity and a better understanding of the connections between neurons. That knowledge has been transposed to the field of ANNs (Artificial Neural Networks), leading to more incredible advancements in computational models, especially concerning the second generation of Neural Networks, which roughly coincides with “Deep Learning.”. Our research focuses on third-generation, spiking Neural Networks, and the motivation behind this work is creating neural networks able to communicate with each other. This work presents a novel, unsupervised, bio-inspired, third-generation Machine Learning algorithm based on a growing network of sparsely connected Artificial Spiking Neurons. Key points of this model are his growing topology, his interpretability, and the integration of spiking neurons. Models generated with this algorithm can hierarchically represent temporal data and can be merged to create a super-model called a Neural Cloud.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"42 8","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140528683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}