Abstract: Blockchain is a transformative technology that enables secure, transparent, and decentralized digital transactions by storing data across a distributed network of computers. It eliminates the need for intermediaries by using cryptographic techniques to ensure the integrity and immutability of records. Blockchain is revolutionizing various industries, from finance to supply chain management. Consensus algorithms are the foundational protocols in blockchain networks that ensure all participating nodes agree on the validity of transactions, maintaining the system's security and consistency without central authority. Two consensus algorithms were proposed which are based on proof of work and proof of stake. The first one is a two-phase consensus algorithm, The first phase consists of proof of stake and the second stage consists of proof work. The Second proposed algorithm is based on the coin-age selection criteria of proof of stake. The proposed algorithms were simulated and analyzed for their security and performance with the existing algorithms and published results. The proposed algorithms are far better in terms of performance and security as per the results achieved.

Keywords: Blockchain, Consensus Algorithms, Coin-age Selection, Proof of Work, Proof of Stake, Performance, Security. 

Title: Design and Analysis of Efficient Consensus Algorithms to Enhance the Security and Performance of Blockchain

Author: Anjaneyulu Endurthi, Akhil Khare

International Journal of Novel Research in Computer Science and Software Engineering

ISSN 2394-7314

Vol. 11, Issue 3, September 2024 - December 2024

Page No: 41-56

Novelty Journals

Website: www.noveltyjournals.com

Published Date: 30-October2024

Résumé:

Dans un environnement aussi concurrentiel comme le commerce, le suivi des activités de sa clientèle devient une activité continue pour les organisation et entreprises à vocation commerciale. Avec le développement du web, la virtualisation des marchés est devenue un défi pour les différents marchands.

La complexité de l’activité due au nombre des clients et à leur cartographie rend la tâche très difficile dans la compréhension des besoins de sa clientèle et de s’y adapter enfin de capitaliser le bénéfice. Au-delà des techniques ordinaires d’analyse des données, le process mining constitue une approche par excellence dans l’extraction de l’intelligence cachée par les races des utilisateurs enregistrées dans le fichier journal du système d’information.

Par les habitudes on peut se servir des techniques de process mining pour comprendre la routine des utilisateurs ou clients, identifier le goulot d’étranglement et améliorer l’expérience client.

Abstract:

In such a competitive environment as commerce, monitoring the activities of its customers becomes a continuous activity for organizations and companies with a commercial vocation. With the development of the web, the virtualization of markets has become a challenge for the various merchants.

The complexity of the activity due to the number of customers and their mapping makes the task very difficult in understanding the needs of its customers and finally adapting to capitalize on the profit. Beyond ordinary data analysis techniques, process mining is an excellent approach in extracting the intelligence hidden by the races of users recorded in the log file of the information system.

Through habits, process mining techniques can be used to understand the routine of users or customers, identify the bottleneck and improve the customer experience.

Mots clé: Profilage, Process Mining, Client, Hippolite, Kabango.

Title: PROFILAGE DES CLIENTS PAR LES TECHNIQUES DE PROCESS MINING

Author: Hippolite KABANGO

International Journal of Novel Research in Computer Science and Software Engineering

ISSN 2394-7314

Vol. 11, Issue 3, September 2024 - December 2024

Page No: 29-40

Novelty Journals

Website: www.noveltyjournals.com

Published Date: 12-October2024

Abstract: The Automating Transport Inquiries aims to revolutionize how travelers access transport information at terminals like airports, train stations, and bus stops. This innovative system addresses significant challenges faced by users, such as long wait times for assistance and the unavailability of information services outside regular hours, particularly benefiting those with visual impairments or difficulties using text-based interfaces. By utilizing advanced technologies such as Python.NET and Microsoft Speech SDK, the system enables users to interact through voice commands, providing real-time transport details efficiently and accurately. The project not only emphasizes technological feasibility but also highlights economic benefits, including reduced operational costs and enhanced customer satisfaction through improved service accessibility. Furthermore, the report delves into the social implications of this technology, addressing privacy concerns and its potential impact on employment within the transport sector. The system is designed to be scalable, capable of handling multiple queries simultaneously while ensuring that users receive accurate information at all times. By automating transport inquiries, this initiative aligns with contemporary demands for efficient public service solutions, ultimately enhancing user experience and promoting inclusivity in accessing vital transport information. This comprehensive overview underscores a transformative approach to disseminating transport information through voice technology, setting a new standard for user-friendly interfaces in public transportation systems.

Keywords: Voice Recognition, Transport Enquiry, Automation, Accessibility, Database Integration, Real-time Information, Speech Technology.

Title: Automating Transport Inquiries: A Voice-Activated Solution for Modern Travel Needs

Author: Biswas Sougato, Hasan Md Rakibul, Musa Sheikh MD Abu Sk, Md Jobayer

International Journal of Novel Research in Computer Science and Software Engineering

ISSN 2394-7314

Vol. 11, Issue 3, September 2024 - December 2024

Page No: 1-28

Novelty Journals

Website: www.noveltyjournals.com

Published Date: 02-October2024