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2 pages, 162 KiB

Open AccessEditorial

The 3rd International Day on Computer Science and Applied Mathematics (ICSAM’23)

by Abdeslam Jakimi and Mohamed Oualla

Comput. Sci. Math. Forum 2023, 6(1), 10; https://doi.org/10.3390/cmsf2023006010 - 12 Jul 2023

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Abstract

ICSAM’23 is an ideal forum for different researchers to present excellent results and new challenges facing the field of computer science and applied mathematics [...] Full article

(This article belongs to the Proceedings of The 3rd International Day on Computer Science and Applied Mathematics)

2 pages, 180 KiB

Open AccessEditorial

Preface: The 3rd International Day on Computer Science and Applied Mathematics (ICSAM’23)

by Abdeslam Jakimi and Mohamed Oualla

Comput. Sci. Math. Forum 2023, 6(1), 11; https://doi.org/10.3390/cmsf2023006011 - 31 Aug 2023

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Abstract

The Scientific Association of Academic Researchers (ASCA) and Software Engineering & Information Systems Engineering Team (GL-ISI) organized, in collaboration with Moulay Ismail University, the 3rd International Day on Computer Science and Applied Mathematics (ICSAM’23) on May 13, 2023, in the Faculty of Sciences [...] Read more.

The Scientific Association of Academic Researchers (ASCA) and Software Engineering & Information Systems Engineering Team (GL-ISI) organized, in collaboration with Moulay Ismail University, the 3rd International Day on Computer Science and Applied Mathematics (ICSAM’23) on May 13, 2023, in the Faculty of Sciences and Technology of Errachidia. Full article

(This article belongs to the Proceedings of The 3rd International Day on Computer Science and Applied Mathematics)

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5 pages, 209 KiB

Open AccessProceeding Paper

Secure and Efficient Code-Based Cryptography for Multi-Party Computation and Digital Signatures

by Abdellatif Kichna and Abderrazak Farchane

Comput. Sci. Math. Forum 2023, 6(1), 1; https://doi.org/10.3390/cmsf2023006001 - 26 May 2023

Cited by 1 | Viewed by 1388

Abstract

Code-based cryptography is a promising candidate for post-quantum cryptography due to its strong security guarantees and efficient implementations. In this paper, we explore the use of code-based cryptography for multi-party computation and digital signatures, two important cryptographic applications. We present several efficient and [...] Read more.

Code-based cryptography is a promising candidate for post-quantum cryptography due to its strong security guarantees and efficient implementations. In this paper, we explore the use of code-based cryptography for multi-party computation and digital signatures, two important cryptographic applications. We present several efficient and secure code-based protocols for these applications, based on the McEliece cryptosystem and its variants. Our protocols offer strong security guarantees against both classical and quantum attacks, and have competitive performance compared to other post-quantum cryptographic schemes. We also compare code-based cryptography with other post-quantum schemes, including lattice-based and hash-based cryptography, and discuss the advantages and disadvantages of each approach. Full article

(This article belongs to the Proceedings of The 3rd International Day on Computer Science and Applied Mathematics)

5 pages, 834 KiB

Open AccessProceeding Paper

A Sketch of a Model-Driven Approach to Develop Smart Tourism Mobile Applications

by Hamza Abdelmalek, Lahbib Naimi, Ismaïl Khriss and Abdeslam Jakimi

Comput. Sci. Math. Forum 2023, 6(1), 2; https://doi.org/10.3390/cmsf2023006002 - 30 May 2023

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Abstract

Several approaches have been proposed to accelerate software development. Model-driven engineering (MDE) is one approach that aims to abstract and automate the development process using models and transformations as the main artifacts. This paper presents our model-driven approach to developing smart tourism mobile [...] Read more.

Several approaches have been proposed to accelerate software development. Model-driven engineering (MDE) is one approach that aims to abstract and automate the development process using models and transformations as the main artifacts. This paper presents our model-driven approach to developing smart tourism mobile applications. Full article

(This article belongs to the Proceedings of The 3rd International Day on Computer Science and Applied Mathematics)

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6 pages, 1215 KiB

Open AccessProceeding Paper

Developing Conversational Agent Using Deep Learning Techniques

by Charaf Ouaddi, Lamya Benaddi, Ismaïl Khriss and Abdeslam Jakimi

Comput. Sci. Math. Forum 2023, 6(1), 3; https://doi.org/10.3390/cmsf2023006003 - 30 May 2023

Cited by 4 | Viewed by 1576

Abstract

Recent advances in artificial intelligence and natural language processing have been widely used in recent years, and one of the best applications of these technologies is conversational agents. These agents are computer programs that can converse with users in natural languages. Developing conversational [...] Read more.

Recent advances in artificial intelligence and natural language processing have been widely used in recent years, and one of the best applications of these technologies is conversational agents. These agents are computer programs that can converse with users in natural languages. Developing conversational agents using artificial intelligence techniques is an exciting prospect in natural language processing. In this study, we built an intelligent conversational agent using deep learning techniques. We used a sequence-to-sequence model with encoder–decoder architecture. This encoder–decoder uses a recurrent neural network with long–short-term memory cells. The encoder was used to understand the user’s question, and the decoder was to provide the answer. Full article

(This article belongs to the Proceedings of The 3rd International Day on Computer Science and Applied Mathematics)

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6 pages, 1701 KiB

Open AccessProceeding Paper

A Software Factory for Accelerating the Development of Recommender Systems in Smart Tourism Mobile Applications: An Overview

by Loubna Mamad, Mamadou Mbow, Ismaïl Khriss and Abdeslam Jakimi

Comput. Sci. Math. Forum 2023, 6(1), 4; https://doi.org/10.3390/cmsf2023006004 - 30 May 2023

Cited by 2 | Viewed by 1725

Abstract

Recommender Systems (RSs) have become essential for suggesting personalized recommendations to users across various fields, especially in tourism. Due to the rising popularity of mobile devices, mobile RSs have emerged as a potential research area. However, developing these systems into smart tourism mobile [...] Read more.

Recommender Systems (RSs) have become essential for suggesting personalized recommendations to users across various fields, especially in tourism. Due to the rising popularity of mobile devices, mobile RSs have emerged as a potential research area. However, developing these systems into smart tourism mobile applications requires a significant investment in artificial intelligence experts and software engineering. Hence, to reduce the cost of this investment, we propose building a software factory that provides a robust set of assets such as domain-specific languages for accelerating the development process. To this aim, we apply a model-driven engineering approach that uses models, metamodels, and model transformations to support the designing and implementation of these software systems. In this paper, we introduce an overview of our software factory to support the development of several models of RSs. Full article

(This article belongs to the Proceedings of The 3rd International Day on Computer Science and Applied Mathematics)

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5 pages, 496 KiB

Open AccessProceeding Paper

Analysis of Tools for the Development of Conversational Agents

by Lamya Benaddi, Charaf Ouaddi, Ismaïl Khriss and Brahim Ouchao

Comput. Sci. Math. Forum 2023, 6(1), 5; https://doi.org/10.3390/cmsf2023006005 - 30 May 2023

Cited by 4 | Viewed by 1087

Abstract

Conversational agents are being increasingly adopted in various domains, such as e-commerce and customer services, and as a direct communication channel between companies and end-users. Several tools have been developed to facilitate their definition and deployment. They exploit existing cloud infrastructures and artificial [...] Read more.

Conversational agents are being increasingly adopted in various domains, such as e-commerce and customer services, and as a direct communication channel between companies and end-users. Several tools have been developed to facilitate their definition and deployment. They exploit existing cloud infrastructures and artificial intelligence (AI) techniques to efficiently process users’ input and extract conversational information. Major Information Technology (IT) companies, such as Google, IBM, Microsoft, and Amazon, have provided powerful tools to develop conversational agents. Still, choosing the most appropriate tool is not easy, as it may require high costs associated with automatic natural language processing (NLP) services and expertise in software engineering and AI. Therefore, this paper aims to analyze different tools to help developers and non-developers to choose the optimal tool for their specific scenario of creating a conversational agent. Full article

(This article belongs to the Proceedings of The 3rd International Day on Computer Science and Applied Mathematics)

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5 pages, 694 KiB

Open AccessProceeding Paper

Kiln Process Fan Vibrations Prediction Based on Machine Learning Models: Application to the Raw Mill Fan

by Mohammed Toum Benchekroun, Smail Zaki, Brahim Hezzem and Hicham Laacha

Comput. Sci. Math. Forum 2023, 6(1), 6; https://doi.org/10.3390/cmsf2023006006 - 31 May 2023

Cited by 1 | Viewed by 1909

Abstract

Kiln process fans play a crucial role in the cement manufacturing process. This article presents a study on the use of machine learning models to predict kiln process fan vibrations based on process fan running parameters. The study tested three different models, namely, [...] Read more.

Kiln process fans play a crucial role in the cement manufacturing process. This article presents a study on the use of machine learning models to predict kiln process fan vibrations based on process fan running parameters. The study tested three different models, namely, k-nearest neighbors, linear regression, and random forest, and it found that all three could accurately predict fan vibrations. However, the random forest model performed the best due to its ability to handle non-linear relationships. The findings have significant implications for the maintenance and operation of kiln process fans, as predictive maintenance can reduce downtime and improve operational efficiency. Full article

(This article belongs to the Proceedings of The 3rd International Day on Computer Science and Applied Mathematics)

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6 pages, 928 KiB

Open AccessProceeding Paper

Blockchain Architecture for IoT: Comparative Survey

by Yassin Elgountery, Amal Boushaba, Mohamed Oualla and Hassain Sadki

Comput. Sci. Math. Forum 2023, 6(1), 7; https://doi.org/10.3390/cmsf2023006007 - 1 Jun 2023

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Abstract

Blockchain technology is increasingly being used in the internet of things (BCoT: Blockchain for IoT) to ensure the security and reliability of data exchanged between connected devices. There are several generic blockchain architectures for IoT that differ in their network and consensus characteristics. [...] Read more.

Blockchain technology is increasingly being used in the internet of things (BCoT: Blockchain for IoT) to ensure the security and reliability of data exchanged between connected devices. There are several generic blockchain architectures for IoT that differ in their network and consensus characteristics. Blockchain architectures for IoT can be compared based on various criteria such as the type of storage used, consensus, and security. They should be selected based on the specific needs of each use case, and the resource constraints of connected devices and security and resilience requirements. In this article, we present a review of blockchain architectures for the internet of things that have been studied and applied in some well-known contemporary applications. Full article

(This article belongs to the Proceedings of The 3rd International Day on Computer Science and Applied Mathematics)

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7 pages, 1717 KiB

Open AccessProceeding Paper

Quantum Cryptography Simulation of Entanglement and Quantum Teleportation

by Brahim Ouchao

Comput. Sci. Math. Forum 2023, 6(1), 8; https://doi.org/10.3390/cmsf2023006008 - 5 Jun 2023

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Abstract

The objective of this article is to present a simulation of quantum information. We take advantage of quantum entanglement to ensure the spontaneous transfer of a state from one qubit to another similar qubit. Similarly, the principle of quantum teleportation is conceived in [...] Read more.

The objective of this article is to present a simulation of quantum information. We take advantage of quantum entanglement to ensure the spontaneous transfer of a state from one qubit to another similar qubit. Similarly, the principle of quantum teleportation is conceived in the application; it is not about transfer of matter, but of information. Indeed, two systems already exist, and at the end of the teleportation, the process is destructive—the first system will no longer be in the same state as the initial state and the second system takes the state of the first, which does not contradict the no-cloning theorem. Full article

(This article belongs to the Proceedings of The 3rd International Day on Computer Science and Applied Mathematics)

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6 pages, 491 KiB

Open AccessProceeding Paper

The Criteria for Adapting a Blockchain Consensus Algorithm to IoT Networks

by Mohamed Aghroud, Mohamed Oualla and Lahcen El Bermi

Comput. Sci. Math. Forum 2023, 6(1), 9; https://doi.org/10.3390/cmsf2023006009 - 7 Jun 2023

Cited by 1 | Viewed by 881

Abstract

The Internet of Things (IoT) is a network of smart objects connected via the Internet, where each object is identified by a unique, accessible, and programmable address, while Blockchain is a technology for storing and transmitting information based on a decentralized system such [...] Read more.

The Internet of Things (IoT) is a network of smart objects connected via the Internet, where each object is identified by a unique, accessible, and programmable address, while Blockchain is a technology for storing and transmitting information based on a decentralized system such that the centralized validation of transactions is replaced by a consensus mechanism. The integration of these two technologies requires consensus protocols to overcome the major challenges encountered in IoT systems, including issues related to security, storage capacity limits, computing power, etc. Therefore, different consensus algorithms have been implemented. For this purpose, this paper presents a research study on the criteria that would render a Blockchain consensus algorithm suitable for IoT networks, namely, computing power, latency, storage capacity, and security. Full article

(This article belongs to the Proceedings of The 3rd International Day on Computer Science and Applied Mathematics)

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6 pages, 570 KiB

Open AccessProceeding Paper

Contribution to the Characterization of the Kidney Ultrasound Image Using Singularity Levels

by Mustapha Tahiri Alaoui and Redouan Korchiyne

Comput. Sci. Math. Forum 2023, 6(1), 12; https://doi.org/10.3390/cmsf2023006012 - 28 Sep 2023

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Abstract

The aim to improve diagnosis decision systems of kidneys led to the concept of many methods of texture characterization of kidneys from ultrasound images. Here, as a first main contribution, we propose a texture characterization method based on the singularity defined by the [...] Read more.

The aim to improve diagnosis decision systems of kidneys led to the concept of many methods of texture characterization of kidneys from ultrasound images. Here, as a first main contribution, we propose a texture characterization method based on the singularity defined by the Hölder exponent, which is multifractal local information. Indeed, the originality of our contribution here is to build a singularity-level matrix corresponding to different levels of regularities, from which we extract new texture features. Finally, as a second main contribution, we will evaluate the potential of our proposed multifractal features to characterize textured ultrasound images of the kidney. Having more reproducibility of the texture features first requires a good choice of Choquet capacity to calculate the irregularities and a selection of a more representative region of interest (ROIs) to analyze by carrying out an adapted virtual puncture in the kidney components. The results of the supervised classification, using three classes of images (young, healthy, and glomerulonephritis), are interesting and promising since the classification accuracy reaches about 80%. This encourages conducting further research to yield better results by overcoming the limitations and taking into account the recommendations made in this article. Full article

(This article belongs to the Proceedings of The 3rd International Day on Computer Science and Applied Mathematics)

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