Authors - Sunday Adeola AJAGBE, Oluwatobi AKINLADE, Korede Israel ADEYANJU, Olajide KUTI, Ademola Olusola ADESINA, Matthew O. ADIGUN Abstract - Many suggested projects carried out using a cryptography key are meant to guarantee security and privacy of Health Information Systems (HIS). Still, HIS's weakest flaw depending on these cryptographic techniques is key management and resource consumption in computers. This work presents an experimental comparison of asymmetric and symmetric cryptography keys; specifically, RSA (asymmetric) and AES, (symmetric), to ascertain effectiveness and efficiency with respect to the level of consumption of computer resources viz-a-viz Processing Time, computing memory, and CPU consumption. Using the anonymised dataset at https://wiki.openmrs.org/display/RES/Demo+Data, which has been ad-judged to fit for study, was undertaken. The results reveal that through-out the experiment, HIS data increases the RSA and AES both in processing time although RSA indicates higher value compare to AES in all the HIS input. In the same vein, memory usage for the RSA and AES rises as HIS data rises across the trial. For processor consumption, while RSA consistently increased, AES increased only twice, the first one was when HIS input increased from 500 to 1000, AES increased from 0 to 0.01 respectively. Also, HIS input increased from 4500 to 5000, AES increased from 0.01 to 0.03 respectively.
Authors - Danilo Cuichan, Mishell Moromenacho, Freddy Tapia Abstract - According to the Food and Agriculture Organization of the United Nations (FAO), the poultry sector continues to grow and position itself in different parts of the world; this has increased the demand for technological solutions that help increase the productivity of the sector, especially in the specialized poultry farming focused on quail production due to the benefits it offers. In this sense, artificial incubation is a complex task, since the manual selection of fertile eggs is susceptible to errors. Currently, traditional incubation methods depend on the experience of the operator. This is associated with human error, which threatens the profitability and sustainability of the sector. Therefore, the incorporation of new technologies is key in optimizing and automating processes. The present study aims to optimize the pre-incubation selection of quail eggs, which will include the collection and analysis of data related to egg viability (color, pigmentation and physical characteristics), all with the aim of classifying eggs that are optimal for incubation, reducing the loss of time and resources in eggs not suitable for incubation. In addition, comparative tests were performed to quantify the performance of the prototype and the efficiency of the system.
Authors - Kai-Po Chan, Guan-Lin Wu, Yen-Jen Chen Abstract - With the rapid development of IoT technology, smart agriculture has become a key driver in modern agricultural transformation. Agriculture 4.0 emphasizes integrating technology with traditional farming to monitor and manage agricultural production processes, thereby improving efficiency. Sensors, as the front-end components of IoT, can monitor environmental changes in real time, such as temperature, humidity, and light intensity, which are crucial for agricultural production. However, as IoT technology becomes more widespread, data protection mechanisms have become essential, particularly in network transmission, where data security and privacy protection are critical concerns. This study aims to address security issues in the data transmission process. IoT devices can rapidly transmit large amounts of data, and without effective encryption and protection measures, this data is vulnerable to external attacks or hacking during transmission, leading to data leakage or tampering. Such incidents can impact agricultural production and result in the loss of business secrets and financial interests. Therefore, enhancing the security and reliability of data transmission is the core problem this study aims to solve. This research proposes a hybrid encryption mechanism based on RSA asymmetric encryption and random noise generation using the STM32 DAC. This approach enhances data transmission security and resistance to attacks. Using the MQTT protocol, the study achieves real-time data transmission and display, storing data in a database to help agricultural producers monitor environmental changes, promptly identify issues, and make necessary adjustments, thereby improving production efficiency and management convenience.
Authors - Maysha Fahmida, Mst Ridika Mesbahul, Reza Amini, M. A. Quaium, Md Kamruzzaman Sarker Abstract - Health insurance companies need to optimize their services and pricing while ensuring financial sustainability. This study aims to model health insurance cost by analyzing a person’s future health risk based on their historical health conditions and associated diseases, using mortality and cause-of-death data provided by the Centers for Disease Control and Prevention (CDC). By analyzing this data, we uncover patterns and trends that inform the risk assessment process. We then evaluate the performance of various machine learning models in predicting health risks and estimating insurance costs. The results highlight the effectiveness of data-driven approaches in enhancing risk prediction accuracy and cost estimation. Our findings provide actionable insights for health insurance companies to improve personalized pricing strategies and better understand the factors influencing health risks. Finally, we discuss potential improvements and future directions for leveraging advanced data analytics and machine learning in health risk modeling.
Authors - S. M Julkar Naeen Abir, Abdul Kadar Muhammad Masum, Angappa Gunasekaran, Mohammad Ashraful Ferdous Chowdhury, Md. Abul Kalam Azad Abstract - Blockchain technology is redefining the landscape of commercial transactions, ushering in a new era of paperless currency. Yet, when it comes to formulating corporate strategy, adoption is still in its infancy stage. This article aims to assess the essential elements that influence the choice to embrace Blockchain in the business world. Fifteen important criteria were selected through detailed analysis of existing studies and expert comments. The identified factors were divided into 3 categories; technological, social, and business. The cause-effect relationship was examined using the DEMATEL approach. The findings revealed five critical causal factors that influence Blockchain adoption: interoperability issues, lack of acceptability, trust issues, lack of security, and legal infrastructure concerns. The findings provide unique insights into the business sector, allowing companies to increase performance by overcoming significant difficulties. This research also includes a plan for adopting Blockchain in transactions.
Authors - Khoa Thi Minh Tran, Quang Huy Tran, Huu Quang Nguyen, Huu Dung Ngo Abstract - The increasing complexity and expansion demand in modern software applications have led to the emergence of various architectural approaches, among which Model-View-Controller (MVC) and Microservices (MS) are two of the most popular methods. The MVC architecture stands out for its simplicity and ease of implementation, often utilised in monolithic applications with a clearly organised layering system. In contrast, the microservices architecture divides applications into independent services, each focussing on a specific function, thus improving scalability, fault tolerance, and deployment flexibility. This paper focusses on analysing and evaluating the performance (load capacity, response time, scalability) of MVC and MS architectures when deployed on the NestJS platform for E-Commerce website development (specifically, a phone sales website). The results of the website performance evaluation are based on the number of simultaneous client requests each architecture can handle, providing developers with information to choose the most suitable architecture for hightraffic websites.
Authors - John Heland Jasper Ortega Abstract - Artificial intelligence is rapidly reshaping multimedia arts courses by enhancing creative workflows and expanding artistic possibilities. Its integration into creative platforms has allowed students to improve efficiency and explore new techniques, fostering a dynamic digital art environment. However, concerns persist regarding originality, artistic authenticity, and the potential decline of traditional skills. Using the Expectation Confirmation Model, this study examines students' perceptions of AI in multimedia arts. While students acknowledge its convenience and practical benefits, they remain cautious about its long-term impact on artistic development. An N-gram analysis of student feedback reveals a spectrum of opinions ranging from enthusiasm for technological advancements to ethical concerns about copyright, fair attribution, and the future of handcrafted art. Notably, despite recognizing AI’s advantages, students express reservations about its role in shaping creative expression. These findings highlight the need for educational frameworks that balance AI-driven innovation with the preservation of traditional artistic techniques. Future research should explore on how Philippine institutions can integrate AI with traditional arts while educating students on ethics and industry practices to ensure responsible and competitive creative careers.
Authors - John Heland Jasper Ortega Abstract - Artificial intelligence (AI) is revolutionizing digital marketing by enhancing targeting, personalization, and automation, leading to data-driven advertising strategies. AI-powered analytics optimize customer engagement, enabling businesses to deliver highly tailored ads that improve conversion rates and return on investment. Automated tools streamline content creation and campaign management, while chatbots enhance customer interactions on a scale. In the Philippines, AI adoption in marketing is expanding, with local retailers and online platforms leveraging AI for personalized recommendations and programmatic advertising. However, challenges remain, including data privacy concerns, algorithmic bias, and a widening skills gap, as AI proficiency becomes increasingly essential for marketers. While AI offers efficiency, a word cloud analysis highlights concerns about its impact on creativity and the human touch in branding. According to the Technology Acceptance Model, Filipino marketers and multimedia arts students must develop AI literacy and strategic thinking to remain competitive. Ethical considerations also require greater oversight in AI-powered advertising to ensure responsible consumer engagement. The future of digital marketing in the Philippines depends on balancing AI-driven efficiency with human creativity, storytelling, and cultural relevance. Businesses must invest in upskilling initiatives and ethical frameworks to maximize AI’s potential while mitigating risks. Further research should examine AI’s long-term impact on job roles, industry dynamics, and consumer trust. As AI becomes more integrated into marketing strategies, success will hinge on how well professionals merge automation with authentic, human-centric advertising practices.
