Innovation and Software

Identifying Blockchain Technologies in the Protection of Sensitive Information on Social Networks: A Systematic Review

Sun, 30 Mar 2025 00:00:00 -0500

This work addresses the identification of blockchain-based technologies for the protection of sensitive data on digital platforms that are now part of our daily lives. It points out the most relevant blockchain technologies that are gaining ground in the technological era in which we find ourselves. The methodology used corresponds to the principles of the PRISMA declaration, using high-demand repositories such as SCOPUS, SCIELO, IEEE XPLORE, MDPI, IIETA, SAGE JOURNAL and IJCSE, finding 25 documents relevant to the study. The latter focus their research on the use and application of blockchain technologies in specific cases of digital platforms, highlighting 4 technologies: Hybrid blockchain, Smart contracts, Public blockchain and Data encryption. The results indicate that they are the most used technologies for the protection of information. The conclusions highlight the importance of Blockchain in protection. information, indicating opportunities for future research are identified, in particular more specific case studies where much better use is made of the technology in question.

Control of Supplement Logistics in Gyms: A web system for inventory management

Fernando Olivert Pantoja Pajayo, George Castillo Pérez — Sun, 30 Mar 2025 00:00:00 -0500

This research work presented the administrative problems that a gym presents related to the inefficiency of organizing all the products that arrive at the warehouse and the complexity of managing stocks without a system to control the gym's inventory, also there is a low level of satisfaction of gym customers with respect to the way product information is managed. This study had a quasi-experimental approach to measure the application of the system, as well as a descriptive and explanatory role. The implementation of a web administrative management system in a gym seeks to improve and optimize the registration and stocks of products in the system so that this information can be used in the sales area efficiently and accurately, through the construction of the system. web using the Laravel 11 framework for the backend and Vue.js 3.4 for the fronted, in addition MySQL 8.1 was used as a database manager, using the agile Scrum methodology and the application of qualitative measurement instruments such as the survey and quantitative. such as measurement by direct observation. The measurement results were processed using the pretest, posttest method, using R .4.4.1 for the respective statistical calculations; of which it is considered that the times to manage the stock and the time to obtain the inputs and outputs of inventories were reduced, while the worker satisfaction increased, with a confidence of 95%, reaching the conclusion of that administrative stock management is correctly streamlined.

Reimagining Art: The Influence of Artificial Intelligence on Digital Art Creation

Sun, 30 Mar 2025 00:00:00 -0500

This article examines how artificial intelligence (AI) is transforming digital image creation through advanced tools such as text transformation generators and style transfer technology. These tools open the door to artistic creativity and allow non-technical people to create visually appealing works using simple descriptions. The research addresses key topics such as authorship, creativity and ethical issues, and shows how artificial intelligence can augment human creativity by acting as a collaborator rather than a substitute. The results show that commercialized, easy-to-use AI tools significantly reduce barriers to entry, despite concerns about style homogeneity and technology dependence. The bottom line is that AI has a transformative role in digital art, but it also poses ethical and aesthetic challenges that must be addressed to ensure the diversity and originality of artistic expression.

Analysis of the Current Situation of the Transition to the IPv6 Protocol in Public Entities in Peru

Giovani Ruben Cala Caso — Sun, 30 Mar 2025 00:00:00 -0500

Currently, electronic devices (Computers, mobile devices, Routers, Servers, IoT devices, etc.) have been linked to the internet. These devices are identified by the IP address associated with each of them. Through this IP these devices have the possibility of having a connection between different networks. But in the vast majority IPv4 is usually used due to the standardization of this protocol since its beginnings on the Internet, this led to us having an exhaustion in the IPv4 address space given that there is a limited number of approximately 4.3 billion addresses, Therefore, migration from IPv4 to IPv6 is almost mandatory. However, the implementation of IPv6 in Peru is far from being achieved in the short term. In this research, an analysis will be made of the situation in which the transition to the IPv6 protocol is found in public entities in Peru, with respect to Supreme Decree No. 081-2017-PCM published on August 9, 2017.

The Impact of Code-Generating AI on the Work of Programmers

Kevin Rivas Verastegui, Elmo Tirado Ruiz, Marcelino Torres Villanueva — Sun, 30 Mar 2025 00:00:00 -0500

This study analyzed the impact of code-generating artificial intelligences (AI), such as GitHub Copilot, on programmers' work. It aimed to determine how these tools affect productivity and code quality, differentiating their effects based on developers' experience levels. A systematic literature review and tool analysis were conducted, using the PRISMA methodology to assess experimental studies and usage reports. Results revealed that code-generating AIs improved productivity by up to 55.8% for experienced programmers, while less experienced developers exhibited increased reliance and confidence in generated code, leading to security risks. Additionally, benefits included reduced development times and democratized access to software, though ethical and technical risks related to overdependence and loss of fundamental skills were noted. These findings underscore the need for strategies that combine these technologies with continuous learning and responsible practices. In conclusion, code-generating AIs are catalysts for software development but require a balanced approach to maximize their advantages and address their challenges

Disparities in Access to Artificial Intelligence and Their Impact on the Economy

Cristhian Jondec Delgado, Diego Vásquez Jaramillo, Marcelino Torres Villanueva — Sun, 30 Mar 2025 00:00:00 -0500

This article examines disparities in access to artificial intelligence (AI) across different economic sectors and geographic regions, as well as their impact on job opportunities and business competitiveness. A systematic literature review reveals significant gaps in AI adoption, where larger corporations, better equipped in terms of technology and finances, tend to benefit more from these innovations. Conversely, small and medium-sized enterprises (SMEs) and low-income regions face barriers that limit their. Such inequalities adversely affect labor equity, as workers in professions with low AI adoption increasingly face the risks of job insecurity and unemployment. Public policies and international efforts are essential to leveling the playing field in this context. Significant digital asset distribution is crucial. Initiatives like the “Digital Europe Program” have the potential to address regional gaps by fostering digital and professional infrastructure growth. Likewise, international organizations such as UNESCO (2021) and the OECD (also in 2021) emphasize the importance of digital inclusion and acquiring related skills. Meanwhile, the World Economic Forum (2020) highlights the need for employees to be trained in technology-related topics.

Generative AI in Software Development: Impact on Various Industries

Sun, 30 Mar 2025 00:00:00 -0500

Software development underwent a significant transformation through the integration of generative artificial intelligence (AI) technologies. The research set out to evaluate the influence of these technologies in different industries and their implications on development processes through a systematic analysis of their impact and implementation in various industrial sectors. The PRISMA methodology was implemented for the analysis of publications between 2022 and 2024 in the Scopus and SciELO databases, using specific inclusion criteria and key terms related to AI applications. The study revealed significant adoption in the pharmaceutical, food, dental and maxillofacial health, maritime, mining, telecommunications, mental health and medical education industries, registering a substantial increase in scientific production, which evolved from 40 documents in 2022 to 54 in 2024. The geographical analysis showed a leadership of China in Scopus publications, while Brazil highlighted its research in SciELO. The findings showed that these technologies optimized the efficiency in the generation and debugging of code, democratizing software development and facilitating the creation of effective solutions without requiring advanced technical expertise. It was concluded that, despite the challenges in accuracy and ethical implications, tools based on generative AI were consolidated as fundamental elements for organizational competitiveness in the contemporary technological environment.

Cryptography and Blockchain in the Internet of Things: Data Protection through Decentralized Technologies

Sun, 30 Mar 2025 00:00:00 -0500

This article reviewed the use of cryptography and blockchain technologies in the Internet of Things (IoT) for data protection, focusing on decentralized technologies as a secure and efficient solution. The objective was to analyze how the combination of these technologies can enhance the security of IoT devices, ensuring data integrity and privacy. The methodology involved a comprehensive literature review of recent studies on cryptography, blockchain, and their implementation in IoT environments. Various approaches to data decentralization and the implementation of smart contracts in IoT networks were analyzed. The results showed that the application of blockchain and cryptographic techniques significantly strengthens data protection, reducing vulnerabilities in information transmission between connected devices. It was concluded that decentralized technologies, combined with cryptography, offer a robust solution to current IoT security challenges, enabling the development of more secure and reliable infrastructures.

The Role of Artificial Intelligence in Data Science: Theoretical Perspectives and Emerging Challenges

Sun, 30 Mar 2025 00:00:00 -0500

The article explored how Artificial Intelligence (AI) and Data Science have revolutionized the creation and analysis of information by integrating advanced methodologies that overcome traditional barriers in the interpretation of complex data. Fundamental concepts and current technical and ethical challenges were addressed, highlighting the automation of the analytical lifecycle through AutoML, the implementation of explainable models and the management of algorithmic biases. The research also examined the limitations of AI in processing unstructured data and its interaction with emerging technologies such as blockchain and quantum computing. The results highlighted the importance of establishing regulations that guarantee the balance between technological innovation and the protection of human rights in a context of big data and automated decisions. It concludes by emphasizing that the impact of AI transcends the technical, consolidating it as an engine of interdisciplinary progress, promoting both the progress of human knowledge and sustainable practical applications, always under ethical and regulated approaches.

Impact of Artificial Intelligence on Assisted Robotics for People with Disabilities: A Systematic Review

Maria de Fatima Caffo Villalobos, Marcelino Torres Villanueva — Sun, 30 Mar 2025 00:00:00 -0500

This paper presents a systematic review of the applications of artificial intelligence (AI) in assistance robots for people with disabilities, aiming to evaluate their impact on users' quality of life. The research examines various AI applications, analyzing their effectiveness and progress in areas such as mobility, social interaction, physical rehabilitation, and cognitive support. An exhaustive search was conducted in academic databases, selecting relevant studies detailing the implementation of these technologies in assistive devices.

Twenty-one key studies were identified and analyzed, demonstrating that AI-assisted robots have significantly enhanced the mobility and autonomy of people with disabilities while also contributing to their emotional and social well-being. However, several persistent gaps and challenges were identified, including the affordability of technologies, the customization of solutions, and ethical concerns regarding human-robot interaction.

The findings of this work highlight AI's potential to transform the lives of people with disabilities but also underline the need for progress in personalizing solutions and addressing social and economic barriers. The final conclusion emphasizes the importance of further research in areas such as AI ethics and the cultural adaptation of robots to enhance their accessibility and effectiveness for all users.

Deep Learning Techniques and Tools for Intelligent Weather Forecasting

Kevin Parimango Gómez, Jose Luis Gutierrez Diaz, Marcelino Torres Villanueva — Sun, 30 Mar 2025 00:00:00 -0500

In this paper, an analysis of deep learning techniques for weather forecasting using statistical downscaling approaches was developed. These are important, since they allow adjusting large-scale climate projections generated by the GCM climate model to more accurate and defined forecasts for specific areas, thus allowing overcoming the limitations of traditional numerical models in the representation of local and small-scale phenomena. Studies implementing Convolutional Neural Networks (CNN) and Generative Adversarial Networks (GAN) were analyzed in order to improve the spatial and temporal resolution of climate data. Both tools and techniques have proven to be effective in projects such as VALUE, which is in charge of evaluating downscaling methods in Europe, and DL4DS, a Python library in charge of applying deep learning algorithms to empirical downscaling of climate data. The main objective of this paper was to analyze the effectiveness of both tools and techniques focused on accuracy, scalability and computational efficiency, providing a complete overview of their use for the improvement of local weather forecasting.

The Role of Artificial Intelligence in the Transformation of Judicial Processes

Gerson Pulache, Marcelino Torres Villanueva, Ivan Jeremi Fernandez Esquerre — Sun, 30 Mar 2025 00:00:00 -0500

This article conducts a systematic review to analyze the impact of artificial intelligence (AI) on the transformation of judicial processes, following the guidelines of the PRISMA methodology. The main objective is to assess how AI contributes to efficiency, accuracy and accessibility in the judicial field, identifying both its benefits and associated ethical challenges. Studies published between 2020 and 2024 were collected and analyzed in databases such as Scopus and SCielo, using specific search equations and previously defined inclusion and exclusion criteria.

The results highlight that AI can optimize judicial processes by automating routine tasks and predictive decision making, with examples of implementation in countries such as Estonia and Singapore. However, concerns about algorithmic biases and system transparency were also identified. It is concluded that, to ensure fair and effective adoption, it is critical to establish regulatory frameworks and promote human oversight in judicial systems that integrate AI.