RSS 1.0Effat University Institutional Repository
Welcome to the Effat University Repository, a service of Effat Library and Cultural Museum. This repository provides global and open access to scholarship and research output created by Effat University faculty, graduate and undergraduate students.
While the University Repository is accessible to the public, submission is limited to the Effat University community.
To submit your research, click here.
If you have any questions, please email us at repository@effatuniversity.edu.sa
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Security and Privacy in Smart Cities Using Artificial Intelligence against Cyber Attacks Using LSTM ModellingA smart city is a city that uses sensors to collect information from environmental elements and analyze it in real time. A smart city improves social offices, transportation, and open spaces while advancing maintainability. This article aims to clarify cyber security and reveal insight into digital assurance, smart city examine-action, and boards, and give a few solutions to the various worries of residents who need digitization. It features questions related to metropolitan foundations, public prosperity, well-being, and promising responses to similar things, while also leveraging human reasoning and artificial intelligence. The significance of the present work is that the general population and the surface area of metropolitan regions are rapidly developing; this speedy advancement requires a collaborative organization to deal with the issues made. In the context of smart cities, security, and privacy are major issues. This work explores the use of LSTM modeling and artificial intelligence to overcome these problems. Utilizing the UNSW-15 dataset to create an intrusion detection system especially suited for smart city contexts is part of the study process. The sequential patterns in network traffic data are intended to be captured by the LSTM-based model architecture. With a test accuracy of 99.68% and a low test loss of 0.0112, the model demonstrates excellent accuracy and is useful for correctly recognizing and categorizing network threats. To secure sensitive information inside the network traffic data, anonymization, and encryption techniques are also used, which involve privacy considerations. The study demonstrates how LSTM-based models might improve security and privacy in smart cities, laying the groundwork for further investigation and advancements in this area.
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A Study Exploring how Tiktok Influences Users' Behavior: in the Context of Uses and Gratification Theory, Social Comparison, and ConsumptionThis research dives deep into the social media app of Tiktok, exploring how the app impacts aspects of users’ behavior under the context of the ‘Uses and Gratification’ and ‘Social Comparison’ theories while also delving into how marketing on the app influences the behavior of its users as consumers (purchase decisions and buying habits). A combination of quantitative research and qualitative data was used to depict a deeper understanding into the research. The quantitative data of this research is built on the foundation of primary data derived from pre-existing research and studies, and the qualitative data was produced through a survey was conducted garnering about 91 responses. Diverse results were achieved for this survey; out of six propositions proposed 2 were proven false, two were proven true, and two were proven neutral. Therefore, there was a balance in the responses and accuracy of findings. However, the literature found provided appropriate evidence to support all of the propositions. This brings us to the limitation of the research that the sample size (number of respondents) is not an accurate depiction of all Tiktok users and their behaviors, hence one must keep this in mind while drawing conclusions and assumptions solely based on the results. The implications of this study can be to better understand how Tiktok users behave when they interact with the app and how their interactions can further affect their consumptions. Companies, psychological experts and researchers/academics can all benefit from this research when studying about the impact of Tiktok
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Analysis of the translation of some stories selected from the workers of Edgar Allan Poe, The Raven Edition' VolumeThis research aimed to analyze a translated text from English into Arabic by shedding light on the semantic, syntactic, morphological, and cultural items in both languages and shedding light on the translation strategies used and their implications. The translated text is a story titled The Black Cat, from the Works of Edgar Allan Poe, The Raven Edition, VOLUME II. The researcher used qualitative analysis and found important results. It is shown that there are grammatical, semantic, morphological, and cultural issues when translating from English into Arabic. The differences in the linguistic systems of both English and Arabic is shown to be the major source of translation issues, especially the lack of equivalents between English and Arabic. The findings also showed that the context and the culture are important for transferring from English into Arabic, especially since English has some words that are culture-based and cannot be translated literally into Arabic. The findings of the study suggest that translators should be well aware of the two languages, English and Arabic, in order to be able to translate accurately. Also, translators need to be well aware of the cultural context of each language since cultural differences contribute to delivering a sound translation of the text.
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Exploring the Efficiency of ChatGPT vs. Google Translate in Translating Idioms and Idiomatic Expressions: “The Catcher in the Rye” as a Case StudyIn a world where people delve into the use of idioms and view them as a way to express emotions that cannot be expressed through everyday language, it is critical to understand that idioms are more than just random expressions of languages; they are key pillars in conveying culture's traditions, beliefs, and shared experiences, as well as playing a vital role in influencing how people interact, think, and view the world. However, these idioms are difficult to communicate across cultures, making it difficult for translators to translate them, let alone machine translation (MT) tools, which many claim will only provide poor-quality translations. Given this, the purpose of this study is to compare ChatGPT and Google Translate's performance in translating idiomatic expressions from the first chapter of “The Catcher in the Rye.” Furthermore, it aims to go further into the realm of idioms and assess the accuracy and effectiveness of these MT tools for translating idiom meanings from English to Arabic in order to establish cultural bonds through improved translation methods. This study incorporates both qualitative and quantitative analysis to examine the most common strategy employed by ChatGPT and Google Translate, according to Mona Baker's translation strategies, as well as assess translation quality in terms of accuracy, fluency, and cultural sensitivity. The results indicate that ChatGPT is more accurate than Google Translate when it comes to translating idiomatic expressions from English to Arabic.
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Internet Gaming Disorder and Aggression: A Cross-Sectional StudyThe prevalence of Internet gaming disorder (IGD) is growing on a global scale, leading to heightened concerns around adolescents’ aggressiveness. The presence of competition and lack of supervision in online gaming might provoke aggressive tendencies. Adolescents might be influenced by competitive games and interactions. Pakistan, a country with advanced technology, has limited investigations on issues related to IGD and aggressiveness. This cross-sectional study examines IGD and aggression in adolescent boys (N = 240) and girls (N = 136) who play online games, recruited via a convenient sampling technique. The study also examines the aggression of gamers (G1) and non-gamers (G2). The results of two-way ANOVA show that adolescent boys and girls differ in IGD and Aggression scores with the evidence of the significance of the main effect for the assessment of IGD with F(1.374) = [6.362], p = .014. In addition, results indicated evidence of the significance of the main effect for the assessing aggression with F(1.374) = [6.645], p = .010. Further results of mixed factorial ANOVA indicated significant differences in the aggression of G1 and G2, male and female participants with the significant main effect of aggression with F(1.374) = [49.530], p < .001. The findings emphasize the importance of monitoring and regulating adolescents’ gaming behaviors, especially excessive gaming. Parents, educators, and healthcare professionals can help identify adolescents at risk of IGD and provide appropriate support and therapies. Promoting appropriate gaming habits and preventing the detrimental effects of excessive gaming in adolescents is essential.
