Design and Evaluation of the Performance of an Electronic Accelerator for Electric Vehicles
Nnaemeka G. Ajah, Department of Electrical Engineering University of Nigeria, Nsukka, Enugu, Nigeria.
Chukwuemeke, Jolly, Department of Electrical Engineering University of Nigeria, Nsukka, Enugu, Nigeria.
Emenike C. Ejiogu, Department of Electrical Engineering University of Nigeria, Nsukka, Enugu, Nigeria.
MSI Journal of AI and Technology | https://zenodo.org/records/18440663 | Page 01 to 09
Abstract
Accelerator pedals can be found in different devices from conventional electronic sewing machines to motorcycles and automobiles. Generally, they are used to control flow from valve or power from pneumatic, hydraulic or electrical systems. In this work, the electronic pedal is designed for use in electric vehicles. It is well understood that when pressure is applied to the throttle pedal in a vehicle, the engine gains acceleration and speed, the opposite occurs when the pressure is withdrawn. This paper discusses the design and evaluation of an electric throttle applicable in electric vehicles.
Keywords: Signal processing, electronic throttle, electric vehicle.
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Vloggers in Tourism Sector
Associate Professor Dr. Helen Abd El-Hamid Abd El-Hakim Mohamed, Higher Institute of Specific Studies Heliopolis, Cairo, Egypt.
MSI Journal of AI and Technology | https://zenodo.org/records/18411778 | Page 01 to 17
Abstract
The rise of digital media has transformed the travel and hospitality sector, with video content creators “vloggers” emerging as influential figures in shaping travel narratives. digital media platforms has revolutionized the travel and hospitality sector through platforms like YouTube, Instagram, and TikTok, where video content creators (video bloggers) create and share travel-related content. These influencers often provide first-hand experiences, recommendations, and visual narratives that shape audience perceptions of destinations. The influence of video content creators in tourism is a growing research field, focusing on traveler decision-making patterns, travel destination promotion, branding, and the socio-cultural impact of digital media.
The research explores the video content creators’ “vloggers” role in tourism, their influence on consumer decision-making, and the implications for tourism marketers and destination management organizations (DMOs). The issue will involve an interdisciplinary approach, combining theories from marketing, media studies, psychology, and tourism management. The present study determines how video content creators influence modern tourism, creating a new paradigm in travel destination promotion and travel consumption.
The present study examines the following key questions:
How do video content creators impact travelers’ destination choices?
What characteristics define successful travel vlogs?
How do tourism businesses engage with video content creators for marketing purposes?
Keywords: Tourism, Social Marketing, Process Management, Vlog.
All articles published by MSIP are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of any MSIP article, including figures and tables.
For articles published under a Creative Commons CC BY 4.0 license, any part of the article may be reused for any purpose, including commercial use, provided that the original MSIP article is clearly cited.
The Effect of Cybercrime on Digital Economy Growth: A Global Analysis
Arif Mainuddin, Police Staff College Bangladesh, Bangladesh.
Md. Nazmul Huda Masud, University of Dhaka, Bangladesh.
Tamjid Mohd Imrul Ibrahim, International Islamic University Chittagong, Bangladesh.
Rafsan Anwar, United International University, Bangladesh.
Md. Mehedi Hasan Babu, United International University, Bangladesh.
MSI Journal of AI and Technology | https://zenodo.org/records/18366461 | Page 01 to 16
Abstract
The rapid expansion of the digital global economy in the modern digital era has delved led re-conceptualized global relations, unleashing a seldom-before-seen competition, innovation and interactivity. But this extraordinary growth is countered by the equally accelerated growth in cybercrime which undermines trust in digital infrastructures, exudes costs in the operation framework and threatens unsustainable economic growth. It is in this context that the current paper has sought to delve into the global implications of cyber criminality on the development pattern of digital economies thus sealing a respected gap in the current academic literature that has focused its study to regional or industrial levels. Using cross nation repositories such as the World Bank, the IMD Digital Competitiveness Index, ITU, UNODC, and the Global Cyber security Index, the analysis illustrates serious economies of scale to measure the correlation between cybercrime events and the economic performance in digital space through rigorous econometric methods, including, panel regression enhanced by Generalized Method of Moments (GMM). It is found that a negative relationship is statistically robust, with negative impacts over-represented in developing economies that have weaker institutional resilience and suboptimal cyber security readiness. Banking and e- commerce are also identified as specifically vulnerable and they may receive more emphasis due to a nuanced breakdown of sectors; a burden of the costs and lack of customers confidence. However, the evidence highlights that the negative significance of these effects can be reduced by applying strategic investment in the cyber security innovation; thus, enhancing the resilience and restoring digital trust. The theoretical work is found in both the application of the Solow growth model and the Becker crime model to the online realm, and the empirical knowledge generates policy usefulness in the hands of policy makers. Recommendations promote reinforcement of legal systems of the world, increased cross-border collaboration, and raising cyber security to higher levels of development. After all, the challenge of cybercrime is presumed to be not only a security need but, to inclusive digital expansion, an undeniable economic necessity.
Keywords: digital economy, cybercrime, global relations, institutional resilience, cyber security
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For articles published under a Creative Commons CC BY 4.0 license, any part of the article may be reused for any purpose, including commercial use, provided that the original MSIP article is clearly cited.
Design and Numerical Validation of an AI-Based Early Cardiac Arrest Detection Machine
Omariba Geofrey Ong’era, Department of Pure and Applied Mathematics, School of Mathematical and Physical Sciences, Jomo Kenyatta University of Agriculture and Technology (JKUAT), Juja, Kenya.
MSI Journal of AI and Technology | https://zenodo.org/records/18329062 | Page 01 to 42
Abstract
Sudden cardiac arrest remains a leading cause of mortality worldwide, largely due to delayed detection and intervention. Most existing monitoring systems identify cardiac arrest only after circulatory collapse has already occurred, significantly limiting the effectiveness of emergency response. This study presents the design and numerical validation of an AI-based early cardiac arrest detection system capable of predicting imminent cardiac arrest prior to its onset. The proposed framework integrates non-invasive physiological sensing with a hybrid physics–artificial intelligence approach. Blood flow dynamics are modeled using the incompressible Navier–Stokes equations, while oxygen transport is represented by a convection–diffusion–reaction model to capture the progressive development of hypoxia under pre-arrest conditions. Numerical simulations are conducted to investigate hemodynamic instability and oxygen depletion patterns associated with declining cardiac output. Key outputs from the numerical model, including velocity fields, oxygen concentration gradients, and a derived hypoxia index, are combined with physiological signals and processed by a machine learning–based prediction engine. The results demonstrate that the proposed system successfully identifies critical pre-arrest signatures and provides early warning within a clinically meaningful time window. This work establishes a robust foundation for predictive cardiac monitoring and highlights the potential of physics-informed AI to improve survival outcomes, enhance emergency medical decision-making, and support the future development of intelligent, real-time cardiac arrest detection devices.
Keywords: Cardiac arrest; Blood flow; Oxygen transport; Numerical simulation; Navier–Stokes equations; Convection–diffusion.
All articles published by MSIP are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of any MSIP article, including figures and tables.
For articles published under a Creative Commons CC BY 4.0 license, any part of the article may be reused for any purpose, including commercial use, provided that the original MSIP article is clearly cited.
