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Research on the Application of AIGC in the Film Industry
No full textThis paper explores the feasibility of applying artificial intelligence generated content (AIGC)
technology in the film industry, analyzes its potential to replace certain positions in the film
industry, and explores how to integrate AIGC into different aspects of film production such as
script writing, video production, and audio processing through experimental creation. Comparative
research and experimental methods are used to explore the feasibility of applying AIGC in the film
industry at this stage. The more mature AIGC platforms such as ChatGPT 4.0, Stability AI,
Midjourney, and Suno V3.5 are used for research to optimize the film production process and
provide some reference for other researchers. The findings suggest that AIGC could redefine
industry standards and democratize the filmmaking process, enabling more creators to access
sophisticated tools and produce high-quality content. This paper ultimately provides a roadmap
for the strategic adoption of AIGC in filmmaking, outlining best practices and future research
directions for a sustainable and creative AI-powered film industry
Application and Challenges of BIM Technology in China's Integrated Utility Tunnels
No full textIn the context of rapid urbanization, integrated utility tunnels present an innovative solution by
consolidating various pipelines into a unified underground system, improving construction
efficiency and urban management. This paper explores the role of Building Information
Modeling (BIM), a breakthrough technology that enhances project design, simulation, and
construction efficiency through digital modeling. BIM technology is optimizing utility tunnel
construction by enabling better planning, monitoring, and collaboration through 3D and 4D
modeling. Using a PESTEL analysis framework, this study evaluates BIM's application in
integrated utility tunnels in China and its potential for advancing the digital transformation of
urban infrastructure. The research reveals how BIM can enhance the informatization and
intelligence of utility tunnels and discusses the future opportunities and challenges for its
expansion in China's urbanization efforts
The Role of Mentoring in Shaping Educational Aspirations: A Theory of Planned Behavior Study of Hmong Students in Vietnam
No full textThis study examines the influence of mentorship on the desire to pursue higher education
among Hmong ethnic minority students aged 12-15 in Lao Cai Province, Vietnam. Utilizing
the Theory of Planned Behavior as a theoretical framework, the research investigates how
cross-ethnic mentorship between Kinh majority mentors and Hmong minority mentees affects
students' educational aspirations, using the Phieu Linh Educational Summer Camp as a case
study. The study employed a quantitative approach, collecting survey data from 75 Hmong
students participating in the summer camp. Five key aspects of mentorship were analyzed:
quality, educational accessibility, clear educational outcomes, self-awareness, and cultural
identity support, in relation to the components of the Theory of Planned Behavior. Results
indicate that all mentorship aspects positively correlate with students' educational desires, with
mentorship quality emerging as the strongest factor. Family support and household income
were also found to significantly influence educational aspirations. The study reveals that
culturally responsive mentorship can play a crucial role in shaping attitudes, subjective norms,
and perceived behavioral control related to pursuing higher education among ethnic minority
youth. This research contributes to the understanding of effective strategies for promoting
educational equity in Vietnam's multicultural context. It offers insights for designing targeted
interventions and policies to support the educational aspirations of ethnic minority students,
potentially contributing to narrowing educational gaps among ethnic groups in Vietnam
Email Phishing Detection Model using CNN Model
No full textPhishing is the most common cybercrime tactic that convinces victims to divulge sensitive
information, including passwords, account IDs, sensitive bank information, and dates of birth.
Cybercriminals commonly use phone calls, text messages, and emails to launch these kinds of
attacks. Despite continuous reworking of the tactics to keep a safe distance from these
cyberattacks, the severe outcome is currently absent. However, in recent years, the number of
phishing emails has increased dramatically, indicating the need for more advanced and effective
ways to combat them. Although several tactics have been put in place to divert phishing emails, a
comprehensive solution is still required. To the best of our knowledge, this is the first study to
focus on using machine learning (ML) and natural language processing (NLP) techniques to
identify phishing emails. With a focus on machine learning techniques, this research examines the
many NLP techniques now in use to identify phishing emails at various stages of the attack. These
methods are investigated and their comparative assessment is made. This provides an overview of
the problem, its immediate workspace, and the expected implications for further research
Pattern Analysis on Wireless Network Coverage in DISPERKIM, South Sumatra
No full textThe study's focus on pattern analysis provides a data-driven approach to optimizing WI-FI
networks, ensuring better connectivity and reliability for users within the South Sumatra Provincial
Housing and Residential Area Office. These results have broader implications for the strategic
deployment of WI-FI in similar environments. WI-FI technology, utilizing the IEEE 802.11a/b/g
wireless standard operating at 2.4 GHz, is ubiquitous in environments such as government offices,
private companies, entertainment venues, and educational institutions. The growing reliance on
WI-FI for internet access, driven by the proliferation of WI-FI-enabled devices, underscores the
importance of optimizing its deployment for efficient connectivity. This study examines the WIFI
signal patterns and range in the WLAN network at the South Sumatra Provincial Housing and
Residential Area Office, where suboptimal placement of WI-FI access points has hindered network
performance. By conducting a field survey and pattern analysis of signal distribution and coverage,
the research identifies critical gaps and inefficiencies in the current wireless setup. Employing the
action research methodology, the study progresses through four stages: diagnosis, action planning,
action tackling, and evaluation. The analysis of signal strength patterns and coverage data guides
targeted improvements to optimize WI-FI placement. Findings are expected to reveal how spatial
factors and interference impact signal distribution, offering actionable insights for enhancing
wireless network performance
The Data Analysis on Business Communication and Entrepreneurial Competency in Influencing Business Performance
No full textMSMEs (Micro, Small, and Medium Enterprises) have great potential in the local economy and
can be a solution to reduce the unemployment rate by absorbing more workers. One business sector
that has received great attention is the culinary sector. MSMEs in the culinary segment have great
potential to contribute to the local and national economy. The unsatisfactory performance of
MSMEs in Indonesia is caused by a lack of quality human resources (HR) or a lack of expertise in
entrepreneurship. This can be seen from the lack of progress in the knowledge of MSME players
in aspects of management, organization, information and communication technology, marketing,
and other skills that are essential in running a business. This research aims to obtain, know, study,
and analyze the variables that will be mapped into the entrepreneurial model and their influence
on business performance. The research method approach used is a Systematic Literature Review
(SLR) which is carried out by identifying relevant research, assessing its quality, and scientifically
summarizing the results of previous research. The results of research discussions found variables
that would become entrepreneurial models in improving business performance. This research uses
a human resource management approach, especially regarding factors that influence business
performance. In this research, three variables were found to be used as research objects, namely
two independent variables and one dependent variable. The novelty of the resulting research is
creating an entrepreneurship model consisting of communication and entrepreneurial competence
and their influence on business performance
Determinant Factors for Learning Model Development: Their Influence on Employee Performance
No full textBusiness competition and high demands for services in the banking industry currently require
companies to have increasingly high organizational capacity that relies on human resource
performance and learning models. This research aims to identify, study, and analyze Learning
Models to Improve the Performance of Banking Industry Employees. The purpose of this study is
to identify, investigate, and evaluate the factors that will be incorporated into the learning model
and how they affect worker performance. A Systematic Literature Review (SLR) is the research
method approach that is employed. It is completed by finding pertinent research, evaluating its
caliber, and producing a scientific summary of the findings of the earlier study. Research talks
yielded variables that will be used as learning models to enhance worker performance. A human
resource management method is used in this study, particularly when examining the variables that
affect employee performance. It was discovered that five variables—three independents, one
intervening, and one dependent—were employed as research items in this study. To increase
employee performance, the learning management system, learning instructional design, learning
assessment, and competency development were implemented. What makes the ensuing research
unusual is that no learning model emerged from these processes
Guideline Final Year Project (FYP) Documentation Related to Computer Science & Information Technology
No full textImmediate Effect of Muscle Energy Technique and Proprioceptive Neuromuscular Facilitation Stretching on Calf Muscle Flexibility Among University Level Recreational Athletes – A Randomized Clinical Trial
No full text[Objective] To assess and compare the immediate impact of muscle energy technique (MET) and proprioceptive neuromuscular facilitation (PNF) stretching on calf muscle flexibility in recreational athletes. [Method] A total 30 individuals participating in recreational activities were divided into two groups: Group A, which followed the MET protocol, and Group B which followed the PNF protocol. The range of motion (ROM) of ankle dorsiflexion was evaluated before and after the intervention. [Results] Analysis of data was conducted using non-parametric testing. The data within the group was examined using Wilcoxon signed rank test. The data was compared between group with Mann Whitney U test. The outcome was determined to be statistically significant (p value 0.001) for every group. Inter group analysis revealed a p value <0.05, indicating a substantial disparity in the effects of the two therapies. [Conclusion] In conclusion, both MET and PNF stretching techniques have an immediate impact on the flexibility calf muscle. However, MET has been demonstrated to be more efficient than PNF stretching in enhancing flexibility of the calf muscle
The Decentralized Non-Fungible Token Exchange with Secure Connections
No full textDuring the COVID-19 outbreak, due to the lockdown, all museums and galleries were closed for more than a year. So, the buying and selling of physical arts have dropped. This project aims to overcome this challenge by developing a decentralized application called Decentralized NFT Exchange. The decentralized non-fungible token (NFT)exchange includes features such as secure wallet connections, NFT creations, buying, selling, and profile management. The back-end of the decentralized NFT exchange is implemented using Solidity-based smart contracts, while InterPlanetary File System (IPFS)is used for decentralized storage. Front-end development of decentralized NFT exchange is implemented using React JSX and framework web3.js that helps developers connect to the Ethereum network. Decentralized NFT can help art creators sell their artworks using a smart contract system where the ownership of the work will become the property of the new owner with proof of a digital certificate. The project demonstrates the practical application of blockchain technology in developing decentralized applications (DApps)for secure and decentralized digital asset management. Overall, Decentralized NFT might be a solution for the copyright of work in the future and the project contributes to secure and decentralized digital asset managemen