http://ijaers.com/ Open Access international Journal to publish research paper en-us June This study offers to investigate non-language major college students’ perceptions concerning Generative Artificial Intelligence (GAI) in terms of its usefulness, ease of use, and acceptance in language learning through a questionnaire survey grounded in the Technology Acceptance Model (TAM). A total of 213 engineering college students participated in the study who are in international programs. The findings of the study indicated that the majority of the respondents highlighted a positive perception towards and acceptance of GAI in language learning. Specifically, 60.09% of the students strongly agree that GAI helps them complete tasks faster and also believe that performance is more effective and productive. In addition, in terms of ease of use in GAI language learning, students strongly agree with ease of use, believing that their interaction with GAI is clear and easy to understand, with an overall average of 51.96%. The results also revealed that non-language majors would recommend the use of GAI in language learning (55.87%), that students have accepted the use of GAI to the extent of using it every day, and are resolved to continue the use of GAI in learning languages. http://ijaers.com/detail/usefulness-ease-of-use-and-acceptance-towards-generative-ai-in-language-learning-of-non-language-majors-a-tam-based-study/ Yichen Yang, Hao Sun, Zihan Chai, Geyu Jiang, Edison Estigoy http://ijaers.com/uploads/issue_files/1IJAERS-0620244Usefulness.pdf The purpose of this study is to control the TORA system through the MATLAB/Simulink simulation platform. The TORA system is a classical two-degree-of-freedom under-driven mechanical system, and this paper mainly focuses on the design of the control scheme for the swing angle of the ball. Firstly, the transfer function is established in the complex domain through the dynamical equations of the system. Then, the traditional PID controller, the triangular membership function fuzzy PID controller, and the double S type membership function fuzzy PID controller were designed. Finally, the simulation results are analyzed to compare the parameter performance of the three controllers. The fuzzy PID controller using the double S membership function is better than the other two controllers in terms of overshoot and adjustment time and has good practicability, stability, speed, and accuracy. http://ijaers.com/detail/based-on-simulink-simulation-of-the-fuzzy-pid-control-for-the-tora-system/ Yongsheng Li, Ho-Sheng Chen, Ya-Hui Hsieh, Ruei-Yuan Wang http://ijaers.com/uploads/issue_files/2IJAERS-0620249-Based.pdf Artificial intelligence has become a crucial element of cyber security because of its capacity to assess security threats instantly and respond appropriately. Nowadays, AI plays a more significant role in identifying and thwarting attacks that keep companies innovative. The primary goals of artificial intelligence in cybersecurity are threat identification and mitigation. Artificial intelligence uses machine learning algorithms and sophisticated data analysis to identify patterns and abnormalities in user behavior and network traffic that can point to a possible cyberattack. Artificial Intelligence can help stop attacks by using predictive modeling. AI is also capable of anticipating dangers and preventing them by analyzing historical attacks and finding patterns. Automated incident response system creation is just another crucial cybersecurity use of artificial intelligence. These systems can assess data, spot possible threats, and then take action to lessen the impact of the attack by containing it or mitigating its effects. Artificial intelligence must be used by businesses in cybersecurity to safeguard their networks and sensitive data against ever-evolving online threats. Artificial intelligence (AI) is quickly emerging as a crucial tool for effective cybersecurity in today's digital environment due to its capacity to evaluate massive volumes of data in real-time and automate incident response. The importance of artificial intelligence (AI) in cybersecurity, particularly its applications in threat identification and defense. http://ijaers.com/detail/improving-cyber-security-artificial-intelligence-s-ability-to-detect-and-stop-threats/ Subha Laxmi, Satish Kumar http://ijaers.com/uploads/issue_files/3IJAERS-0620243-Improving.pdf In December 2019, the covid-19 pandemic had a significant impact on the global economy. The objective of this study is to identify the strategies used for economic recovery after the crisis, differentiating the implemented actions and analyzing how GDP, unemployment, and inflation reacted to the events. Using a qualitative approach, countries that were positively and negatively affected were selected, observing their different political approaches, and determining the most efficient ones. Additionally, the fiscal and monetary policies implemented in these countries were compared. The main economic indicators analyzed were GDP, unemployment, and inflation. Considering that the study is a comparison between the same countries before and after the pandemic and does not focus on absolute numbers of the mentioned indicators, the results suggest that even geographically close countries achieved different outcomes. Countries with more liberal labor markets and those that invested in professional qualification and internal infrastructure showed more positive results in the proposed indicators. Furthermore, since the covid-19 pandemic had a significant impact on the global economy, the study discusses the adopted strategies of fiscal and economic policies and their importance in differentiating the economic recovery among countries, as well as the relationship between inflation and recovery policies. http://ijaers.com/detail/a-discussion-about-strategies-for-economic-recovery-post-covid-19-pandemic/ Gabriel Prado Ortenzi, Alexandre Acacio de Andrade, Julio Francisco Blumetti Faco, Fernando Gasi http://ijaers.com/uploads/issue_files/4IJAERS-0620247-ADiscussion.pdf