New version of author guideline format
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Article
Article ID: 464
by Jihen El Khaldi, Lotfi Bouslimi, Mohamed Najeh Lakhoua
Information System and Smart City, Vol.4, No.1, 2024; 96 Views, 80 PDF Downloads
Smart grids may be characterized as the amalgamation of electrical grids, communication networks, specialized hardware, and computational intelligence (algorithms). This integration aims to oversee, regulate, and coordinate the generation, distribution, storage, and utilization of energy. Indeed, smart grid technologies have the potential to facilitate the distribution of substantial quantities of power generated from renewable sources. For this purpose, a comprehensive modeling approach is employed to simplify and enhance the feasibility of the task. It introduces a highly intricate system where modeling the components and relationships between entities proves challenging. Optimal energy management is necessary in this case. This paper provides a summary of an investigation into the modeling and optimal management of smart grids. In fact, this work allows a discussion of a hybrid system. Then we briefly introduce the domain of conceptual modeling within the enterprise.
Open Access
Article
Article ID: 1383
by Anne Throapologius
Information System and Smart City, Vol.4, No.1, 2024; 157 Views, 99 PDF Downloads
This paper investigates the application of quantum computing in anthropological research. By leveraging quantum algorithms and computational capabilities, we propose innovative methodologies for analyzing complex cultural datasets, modeling social interactions, and reconstructing historical evolutionary patterns. The integration of quantum computing into anthropology has the potential to revolutionize the field by providing unprecedented computational efficiency and novel analytical tools.
Open Access
Article
Article ID: 1414
by Agatha Ujunwa Nnatu, Ngozi Njideka Okechukwu, Chinemerem Chika Jacinta
Information System and Smart City, Vol.4, No.1, 2024; 96 Views, 66 PDF Downloads
This study explores the dynamic relationship between sustainability, diversity, and inclusion within library contexts amidst the Digital Era. Conducted in May 2024 across various schools in Anambra State, Nigeria, the research targeted library users to assess their perspectives on sustainable practices and diversity strategies. Utilizing an easily accessible questionnaire deployed via Google Forms, data on sustainable initiatives and diversity measures were collected. Analysis conducted using SPSS included descriptive statistics, Pearson correlation, ANOVA, and the Tukey post hoc test. Results reveal significant demographic variations in the effectiveness of diversity enhancement strategies, emphasizing the pivotal role of age, occupation, educational background, and gender in shaping library practices. The findings underscore the necessity of tailored interventions to promote sustainability and inclusivity in libraries, especially in the digital age where diverse perspectives and equitable access to information are crucial. Understanding the nuanced interplay between demographic factors and strategic initiatives allows libraries to better address the evolving needs of their communities, fostering environments that are both sustainable and inclusive.
Open Access
Article
Article ID: 1328
by Omer Alrwais, Abdulmohsen Alshutairi, Sulaiman Alshehri, Saleh Alsaleem, Abdulrahman Almutawa
Information System and Smart City, Vol.4, No.1, 2024; 35 Views, 19 PDF Downloads
This paper aims to study the distribution of three types of schools in the northern area of Riyadh city in Saudi Arabia in order to uncover the aspects of imbalance distribution of schools over the 4 districts of the study area (Almalqa, Sahafa, Jasmine and Narges neighborhoods) in addition to assess the extent of compatibility between the number of schools in each district and the density of population residing in it. The used dataset is built up of mainly tow datasets for schools and districts covering the study area. This research has utilized MS Excel, ArcGIS and QGIS software and applied the Point-to-Polygon overlay to locate the three types of schools in their corresponding districts and three types of analysis were applied which are the average nearest neighbor, heat map, and district classification based on population ratio with the aim of exploring the clustering patterns of schools as well as classifying the districts based on the density of schools relative to population. The study concludes that there is a spatial disparity in the distribution of schools, mainly in terms of their density, in the different districts due to the variation in population. Moreover, a notable inequality of the distribution of schools with respect to the population has been found.
Please follow the journal's author guideline and the required article template to prepare your manuscript.
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