Global Journal of Engineering and Technology Advances最新文献

{"title":"Cybersecurity leadership for institutions of higher education","authors":"Bradley Fowler Orcid","doi":"10.30574/gjeta.2024.20.1.0122","DOIUrl":"https://doi.org/10.30574/gjeta.2024.20.1.0122","url":null,"abstract":"Research continues reporting an increase of cyber-attacks deployed against institutions of higher education. Unauthorized access to known vulnerabilities in software applications, institutions of higher education rely on, is providing external attackers ease of entrance points to access personal information assets. Information assets obtained enable external attackers to sell this information on the Dark Web, where anyone can purchase American Express, Visa, and Master Card details with CVV from the back of credit cards, as well as login and password information, expiration dates, mother’s maiden name, and so on. Thus, utilizing qualitative grounded theory lite research enables the researcher’s research study to be valid and significant. The researcher seeks to answer the question regarding why ineffective cybersecurity leadership advocates an attitude of tolerance for ineffective training and non-compliance. The researcher also desires to understand how to define improved cybersecurity and information security policy, institutions of higher education can rely on. As well as answer the question regarding what the best resolution is to decrease human error among executive leadership, administrators, faculty, and staff at institutions of higher education. After all, research proves human error is a leading cause of cyberattacks, particularly when institutions of higher education, information systems, technology, and/or cloud practitioners (ISTC) neglect to design effective training and technology usage policy. Thus, this research delivers a resolution supporting institutions of higher education need for increased cybersecurity leadership, delivered through an introduction, literature review, discussion, method of research, results, recommendations, and conclusion.","PeriodicalId":402125,"journal":{"name":"Global Journal of Engineering and Technology Advances","volume":"6 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design application of the assessment national sea security based on system dynamic model (A Conceptual of Strategic Design)","authors":"Yoyok Nurkarya Santosa, Mukhlis, Adi Bandono, Okol Sri Suharyo","doi":"10.30574/gjeta.2024.20.1.0128","DOIUrl":"https://doi.org/10.30574/gjeta.2024.20.1.0128","url":null,"abstract":"The security of national sea territories is paramount for economic stability, environmental protection, and national defense. Traditional assessment methods often fall short of capturing the dynamic and complex nature of maritime security. This paper presents a novel approach to assessing national sea security using a system dynamics model. The model integrates various factors influencing sea security and provides a comprehensive framework for policymakers to evaluate and improve maritime security strategies. This study aims to develop and validate a system dynamics model for assessing national sea security. The objectives are to Identify key factors influencing sea security, Develop a system dynamics model integrating these factors, and Validate the model through simulation and real-world data. The proposed model offers a new approach to understanding and improving national sea security. It provides policymakers with a tool to simulate different scenarios and evaluate the potential impact of various security measures.","PeriodicalId":402125,"journal":{"name":"Global Journal of Engineering and Technology Advances","volume":"11 51","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Labor utilization and food security among rural maize farmers in Abuja Metropolis, Nigeria: A careful analytical study","authors":"Kola Samuel Gomina, Gomina Samuel Kola, Gomina Emily, Oshua, Ogundipe Stella Dupe, Ajibaye Olusola Tolulope, Olowu Damilare, Okorie Odinaka Benedict","doi":"10.30574/gjeta.2024.20.1.0121","DOIUrl":"https://doi.org/10.30574/gjeta.2024.20.1.0121","url":null,"abstract":"This study investigates the relationship between labor use and food security among rural maize farmers in Abuja Metropolis, Nigeria. Using a two-stage sampling procedure, 125 maize farmers were selected from various villages within the study area to participate. A structured questionnaire was employed to gather data, focusing on labor allocation, food security metrics, and socio-economic variables. The collected data were analyzed using descriptive statistics, a food security index, and a probit regression model. Findings indicate that maize farmers in Abuja Metropolis utilize both hired and family labor, with varying implications for household food security. Specifically, higher reliance on family labor tends to enhance food security, whereas increased dependence on hired labor correlates with decreased food security among rural farming households. Based on these findings, the study recommends several interventions to improve food security in the region. These include enhancing access to credit facilities for farming households, promoting agricultural engagement among youth to alleviate dependency on non-agricultural jobs, and advocating for family planning initiatives to manage household size, thereby mitigating food insecurity risks associated with larger families. This research contributes to the understanding of labor dynamics in agricultural settings and offers practical insights for policymakers, governmental agencies, and non-governmental organizations aiming to strengthen food security initiatives in similar contexts.","PeriodicalId":402125,"journal":{"name":"Global Journal of Engineering and Technology Advances","volume":"4 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geostatistical concepts for regional pore pressure mapping and prediction","authors":"Adindu Donatus Ogbu, Kate A. Iwe, Williams Ozowe, Augusta Heavens Ikevuje","doi":"10.30574/gjeta.2024.20.1.0124","DOIUrl":"https://doi.org/10.30574/gjeta.2024.20.1.0124","url":null,"abstract":"Geostatistical concepts play a pivotal role in regional pore pressure mapping and prediction, offering advanced methodologies to address the spatial variability and uncertainty inherent in subsurface formations. This abstract explores the integration of geostatistical techniques for enhancing the accuracy and reliability of pore pressure predictions over large geological regions. Accurate pore pressure prediction is critical in the oil and gas industry, particularly for optimizing drilling operations and ensuring wellbore stability. Traditional methods, often limited by their reliance on sparse data and simplified models, can struggle to capture the complex spatial patterns of pore pressure distribution. Geostatistics provides a robust framework for addressing these limitations by leveraging spatial data analysis and probabilistic modeling techniques. Key geostatistical methods such as kriging, co-kriging, and stochastic simulation are employed to create high-resolution regional pore pressure maps. Kriging, a geostatistical interpolation technique, allows for the prediction of pore pressure at unsampled locations by utilizing the spatial correlation structure of the available data. Co-kriging extends this approach by incorporating secondary variables, such as seismic attributes and well log data, to improve prediction accuracy in areas with sparse primary data. Stochastic simulation generates multiple realizations of pore pressure distribution, providing a quantifiable measure of uncertainty and enabling risk assessment for drilling operations. The integration of seismic attributes and well log data through geostatistical methods enhances the spatial resolution and reliability of pore pressure models. This combined approach not only captures the heterogeneity of subsurface formations but also accounts for the varying scales of data sources, leading to more accurate and robust predictions. Several case studies illustrate the application of geostatistical techniques in regional pore pressure mapping. These studies highlight the improved accuracy and reduced uncertainty in pore pressure predictions, leading to more informed decision-making in drilling operations and enhanced wellbore stability. In conclusion, geostatistical concepts offer significant advancements in regional pore pressure mapping and prediction. By integrating diverse data sources and employing sophisticated spatial modeling techniques, geostatistics provides a comprehensive approach to addressing the challenges of pore pressure prediction in complex geological settings. This integration ultimately enhances operational safety, efficiency, and economic viability in the oil and gas industry. Continued research and development in geostatistical methods are essential for further improving pore pressure prediction capabilities and addressing emerging challenges in subsurface exploration.","PeriodicalId":402125,"journal":{"name":"Global Journal of Engineering and Technology Advances","volume":"2 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review on educational robotics and creativity","authors":"Smaragdi A Karalla, Ilektra Petropoulou","doi":"10.30574/gjeta.2024.20.1.0115","DOIUrl":"https://doi.org/10.30574/gjeta.2024.20.1.0115","url":null,"abstract":"The purpose of this thesis is to investigate if and to what extent creativity is linked to educational robots. More specifically, it examines the role that educational robots can play in promoting and enhancing creative thinking and other creative processes, such as computational thinking, through the use of artificial intelligence. To achieve this goal, a literature review is carried out on studies that have been conducted, mainly last five years and are applied practices of using educational robots and STEM learning in various educational settings, showing how they can encourage creativity and problem-solving in students. Search engines – databases – such as Google and Google scholar were used as a research tool. The results of the review showed that the use of educational robots develops skills linked to creativity, such as reflection, collaboration and innovation, and is therefore a useful educational-technological tool in the hands of the modern teacher. Finally, possible directions for future research and educational practices on this topic are suggested.","PeriodicalId":402125,"journal":{"name":"Global Journal of Engineering and Technology Advances","volume":"1 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The analysis of the role of Indonesia naval base to support national logistic supplies with a dynamic system approach (A Conceptual Review)","authors":"Mukhlis, Yoyok Nurkarya Santosa, Adi Bandono, Okol Sri Suharyo","doi":"10.30574/gjeta.2024.20.1.0127","DOIUrl":"https://doi.org/10.30574/gjeta.2024.20.1.0127","url":null,"abstract":"The strategic position of Indonesia, an archipelagic country, necessitates efficient and reliable naval logistics to support national security and economic stability. This paper analyzes the role of Indonesia's naval bases in supporting national logistic supplies using a dynamic system approach. By integrating various factors affecting naval logistics, this study provides insights into optimizing logistics operations and ensuring the effectiveness of naval bases in supporting national supply chains. The objectives of this study are to Identify the key factors influencing the efficiency of naval logistics. Develop a dynamic system model to analyze these factors. Propose strategies for optimizing logistics operations through naval bases. This study offers a comprehensive approach to understanding and improving the logistics support provided by naval bases. The findings will help policymakers and military planners enhance logistics operations and ensure a reliable supply chain. This study presents a system dynamics approach to analyzing the role of Indonesia's naval bases in supporting national logistic supplies. The model provides a comprehensive framework for understanding and optimizing naval logistics operations.","PeriodicalId":402125,"journal":{"name":"Global Journal of Engineering and Technology Advances","volume":"10 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cyberpsychology can improve cybersecurity leadership in higher education","authors":"Bradley Fowler","doi":"10.30574/gjeta.2024.20.1.0116","DOIUrl":"https://doi.org/10.30574/gjeta.2024.20.1.0116","url":null,"abstract":"Cyberpsychology has grown exponentially in supporting researchers understanding of the significance of human behavior in correlation with social media technology as a tool for business communication and engagement. Research coupled with quantitative and qualitative statistics, notes that cyberpsychology is woven in social media and is a key factor of social engineering. Additional research conveys cyberbullying is a key area of importance aligning with cyberpsychology, which helps researchers begin to understand the motive behind cybercriminals malicious activities. However, there is limited research providing the correlation between the role cyberpsychology plays in cybersecurity leadership for these institutions and the malicious attitude cybercriminals have that invoke this human behavior. Therefore, this research enables readers to comprehend the nexus regarding the utilization of qualitative grounded theory lite research in providing answers to three questions. First question is, what role does cyberpsychology play in correlation with institutions of higher education cybercrime victimization, in alignment with social media and social engineering activity deployed by higher education executive leadership, administrators, faculty, and staff that invoke cyberattacks? The second question asks, what attitude and human behavior do executive leaders, administrators, faculty, and staff, have towards completing and adhering to cybersecurity awareness training provided at institutions of higher education as a deterrence method? The third question asks, how can qualitative grounded theory lite research help the researcher understand how cyberpsychology can improve cybersecurity leadership for institutions of higher education? Thus, this research provides an introduction, research method, results, discussion, and answers to these questions, including a list of references.","PeriodicalId":402125,"journal":{"name":"Global Journal of Engineering and Technology Advances","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Conceptual integration of seismic attributes and well log data for pore pressure prediction","authors":"Adindu Donatus Ogbu, Kate A. Iwe, Williams Ozowe, Augusta Heavens Ikevuje","doi":"10.30574/gjeta.2024.20.1.0125","DOIUrl":"https://doi.org/10.30574/gjeta.2024.20.1.0125","url":null,"abstract":"Accurate pore pressure prediction is critical for safe and efficient hydrocarbon exploration and production, particularly in complex geological settings. Traditional methods often fall short due to the inherent uncertainties and limitations in heterogeneous formations. This paper explores the conceptual integration of seismic attributes and well log data to enhance pore pressure prediction accuracy using advanced machine learning techniques. Seismic attributes provide valuable information on subsurface properties, while well log data offer high-resolution insights into geological formations. Integrating these data sources leverages their complementary strengths, facilitating a more holistic understanding of subsurface conditions. The fusion of seismic and well log data, supported by machine learning algorithms, can significantly improve the prediction of pore pressure, thereby enhancing drilling safety and operational efficiency. The integration process begins with the extraction and preprocessing of relevant seismic attributes and well log parameters. Key seismic attributes such as amplitude, frequency, and phase are correlated with well log data, including porosity, permeability, and lithology. Machine learning models, including neural networks, support vector machines, and ensemble learning techniques, are trained to recognize patterns and relationships between these attributes and pore pressure measurements. This approach addresses several challenges inherent in traditional methods. It allows for the handling of nonlinear and multidimensional data, adaptive learning from new datasets, and real-time integration of diverse data types. The resulting models can identify subtle geological features and trends, which are crucial for accurate pore pressure prediction in complex environments like deep-water and tectonically active regions. Case studies demonstrate the effectiveness of this integrated approach, showing significant improvements in pore pressure prediction accuracy and reliability. These improvements lead to better wellbore stability, reduced risk of blowouts, and optimized drilling plans, ultimately enhancing hydrocarbon recovery and productivity. In conclusion, the conceptual integration of seismic attributes and well log data, underpinned by machine learning techniques, represents a promising advancement in pore pressure prediction. This integrated approach not only mitigates the limitations of traditional methods but also opens new avenues for research and application in geosciences, driving safer and more efficient exploration and production practices in the oil and gas industry.","PeriodicalId":402125,"journal":{"name":"Global Journal of Engineering and Technology Advances","volume":"6 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Film and literature as a tool for the promotion of Greek tourism","authors":"Maria Manola, Vanesa Kostaki","doi":"10.30574/gjeta.2024.20.1.0114","DOIUrl":"https://doi.org/10.30574/gjeta.2024.20.1.0114","url":null,"abstract":"The aim of this study is to investigate the various dimensions of the phenomenon, modern, film tourism and its contribution to the local development of cities with the arrival of cinema tourists. For the needs of the study, a quantitative survey was carried out in the form of questionnaires, which were distributed in cinemas and in a central metro station in the Athens area.","PeriodicalId":402125,"journal":{"name":"Global Journal of Engineering and Technology Advances","volume":"2 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141795944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Leveraging social network analysis in education through social robots: A review","authors":"Panagiota-Ioulia Ntomora, Kyriakos Petrakos","doi":"10.30574/gjeta.2024.20.1.0113","DOIUrl":"https://doi.org/10.30574/gjeta.2024.20.1.0113","url":null,"abstract":"In recent years, there has been a growing interest in the integration of social robots into educational settings, marking a shift in traditional teaching methodologies. This article delves into the implications of incorporating social robots in educational fields investigating particularly how their usage in such settings can be supported by recent advances in the field of Social Network Analysis (SNA). The collective findings from diverse studies underscore the multifaceted benefits of social robots in education. From personalized learning experiences and the development of tutoring skills to continuous assistance, empathic interactions, and specific case studies, social robots have showcased their potential to revolutionize education across various domains. As research in this field continues to advance, the integration of social robots in educational settings holds the promise of fostering inclusive, engaging, and effective learning environments for students of all backgrounds and abilities. Furthermore, Social Network Analysis (SNA) has gained prominence in educational research due to its ability to unveil intricate patterns of interactions among students, educators, and learning resources. The second part of this study provides a comprehensive review of the application of social network analysis in education, focusing particularly on the emerging integration of social robots in this domain. By examining recent literature, this review elucidates the potential of social robots to enhance data collection, interaction analysis, and intervention strategies within educational networks. Italso discusses challenges and future directions for leveraging social robots through social net-work analysis in educational environments.","PeriodicalId":402125,"journal":{"name":"Global Journal of Engineering and Technology Advances","volume":"3 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}