Convergence Of Services Research Articles

Implementación de un Dispositivo Inteligente para la Asistencia de Personas con Discapacidad Visual en Entornos Universitarios

This project arises in response to the growing global need for inclusive technological solutions aimed at improving the quality of life of people with visual impairments. The motivation is based on addressing the specific barriers these individuals face, with a particular focus on university environments. The methodology adopted focuses on the convergence of web services and networked communication technologies, seeking to promote the autonomy and safety of visually impaired people. A distinctive aspect of this project is the implementation of low power consumption and long-range technology, marking a pioneering approach in this field, which not only addresses the immediate need for inclusive solutions; but contributes to technological advancement by introducing efficient and long-range solutions. Through testing, very short response times are achieved in terms of identifying dangerous movements such as falls and detecting nearby objects, while character recognition still requires further refinement. The key innovation lies in the effective convergence of technologies, setting a new standard for inclusive and sustainable solutions. In other words, this project not only responds to a pressing need, but also marks a significant milestone in improving inclusion for the visually impaired, highlighting its relevance at the local level and contributing to global progress in this crucial field.

Recent Development Trends in Plant Protection UAVs: A Journey from Conventional Practices to Cutting-Edge Technologies—A Comprehensive Review

Uncrewed aerial vehicles (UAVs) for plant protection play a vital role in modern agricultural operations. In recent years, advancements in UAVs and pest control technologies have significantly enhanced operational efficiency. These innovations have addressed historical challenges in agricultural practices by improving automation and precision in managing insect pests, diseases, and weeds. UAVs offer high operational efficiency, wide adaptability to different terrain, and safe applications. The development and demand for these technologies have increased to boost agricultural production. In agricultural settings where conventional machinery struggles to carry out farming operations, UAVs have transformed farming practices by providing high operational efficiency and significant profitability. The integration of UAVs and other smart technologies has driven advancements. The UAV sector has received substantial attention as a convergence of production, service, and delivery, introducing synergy through the presence of several developing areas. The market for this technology is expected to grow in the future. In this comprehensive review, we analyzed an overview of historical research, diverse techniques, the transition from conventional to advanced application, development trends, and operational milestones across diverse cropping systems. We also discussed adoption and subsidy policies. In order to properly understand UAV operational efficiency, we also analyzed and discussed smart atomization systems, spray drift, droplet deposition detection technologies, and the capabilities of related technologies. Additionally, we reviewed the role of software programs, data-driven tools, biodegradable materials, payloads, batteries, sensing technologies, weather, and operational and spraying factors. Regulatory limitations, operating and farmer’s training, economic effects, and guidelines were also acknowledged in this review. This review highlights deficiencies and provides essential knowledge of the use of UAVs for agriculture tasks in different regions. Finally, we examine the urgency of UAV technology implementations in the agricultural sector. In conclusion, we summarize the integration of UAVs and their related technologies with applications and future research prospects, offering directions for follow-up research on the key technologies of UAVs and encouraging the enhancement of agricultural production management in terms of efficiency, accuracy, and sustainability.

Convergence of online flow and AI-enabled services: the impact on awe experience in e-tail customer journeys

ABSTRACT This study investigates how control, concentration, and enjoyment impact customers’ awe experience in e-tailing, and examines how AI-enabled services may alter online flow dynamics. The research employed cutting-edge data collection techniques using an AI-driven platform developed by an Indian online survey firm. Participants were recruited via Amazon Mechanical Turk and snowball sampling. Variables were measured using a Likert-type scale, with survey credibility and validity ensured through rigorous measures, including feedback collection and analysis. Through a novel research model and the ‘broaden-and-build theory,’ the study reveals that customers’ awe experience can be significantly influenced by control and concentration. Surprisingly, AI-powered e-retail services negatively affected two flow dimensions and subsequent awe experience. However, customers’ awe experience positively correlated with AI service quality, indicating emotions’ criticality. These findings provide new insights for future research and e-tailers to design effective marketing strategies enhancing customer journeys. The study underscores the importance of fashion retailers embracing AI technology to meet dynamic customer expectations, yielding enhanced efficiency and cost-effectiveness through process automation and waste minimization. By integrating AI, the industry undergoes a significant transformation, effectively redefining the shopping experience.

The Influence of AI Chatbots in Fintech Services on Customer Loyalty within the Banking Industry

The convergence of Artificial Intelligence (AI) and FinTech services has brought about a transformative impact on customer engagement in institutions. AI-powered chatbots have emerged as indispensable tools for enhancing customer experiences within the banking sector. In this era of digital transformation, financial institutions have recognized the vital importance of exceptional service quality and the utilization of chatbots in attracting and retaining customers. Consequently, there is a growing interest in comprehending the role of chatbot service quality in shaping customer loyalty. This study adopts an empirical and descriptive approach, employing a quantitative research method. Data were obtained from 729 respondents through an online survey employing judgemental nonprobability sampling. The gathered data were analysed using Smart PLS- Structural Equation Model (SEM). The study delineates the attributes of AI chatbot service quality and identifies their significant influence on customer loyalty, taking into account the mediating role of customer satisfaction. The findings of this study contribute to the understanding of the relationship between chatbots, customer satisfaction, and loyalty. The study validates the significance of customer satisfaction, enhances the understanding of chatbot effectiveness, explores the unique characteristics of chatbot interactions, and demonstrates how technology-driven customer service can be integrated into loyalty models. Moreover, this study offers practical implications that can guide businesses in optimizing their chatbot strategies. By prioritizing the enhancement of chatbot performance, personalizing interactions, integrating across channels, and monitoring customer satisfaction and loyalty metrics, organizations can elevate customer satisfaction, cultivate loyalty, and achieve positive business outcomes.

Design of prehospital spectral CT with a rotation-free rectangular gantry and deep learning reconstruction

Treatment of stroke depends on a narrow therapeutic time window and requires urgent intervention to be emergently pursued. Despite recent “fast” initiatives that have underscored “time is brain,” many patients still fail to present within the narrow time window to receive maximum treatment benefit from advanced stroke therapies. The convergence of emergency medical services, telemedicine, and mobile technology, including transportable computed tomography scanners, has presented a unique opportunity to advance patient stroke care in the prehospital field by shortening the time to hyperacute stroke treatment with a mobile stroke unit. However, in order to facilitate the integration of computed tomography (CT) scanners into small ambulances, their geometry should be streamlined and made compact. Additionally, it is imperative that radiation exposure from prehospital CT scans comply with established radiation protection guidelines to safeguard both patients and healthcare workers. In this study, we propose a newly designed CT system for a rotation-free rectangular gantry with a photon-counting detector (PCD) and a deep-learning reconstruction approach for undersampled projections. Undersampled projections obtained using the designed CT system were implemented using a deep learning method. The deep learning approach showed superior image quality without distortion compared to state-of-the-art reconstruction methods. Finally, we implemented imaging of brain microhemorrhages using low- and high-energy images obtained from the PCD. Our results indicate that the proposed scanner effectively shows potential for acute stroke detection in prehospital ambulances. Its effectiveness was validated by comparing its image performance with those of other methods such as FBP and compressed sensing.

Electronic Financial Services Market in RK: Problems and Prospects of Development

Main problem: At the present stage of life, Innovations in the financial sector contribute to the optimization of financial intermediation and, in turn, stimulate economic growth. Financial innovations increase the efficiency of the allocation of savings capital to investment capital, as well as increase liquidity in the markets. As the digital economy has developed, the functionality of traditional large financial institutions has been partially replaced by financial technologies (FinTech). FinTech involves the convergence of traditional financial services with mobile services, social media services, big data aggregation and processing, and cloud technologies.\ Purpose of this article is to identify the main directions of the electronic financial services market in the Republic of Kazakhstan, identify the main problems and prospects for the development of the financial sector of the economy. Methods: The work used general scientific methods of comparative system, vertical and horizontal analysis, structural and functional method, analytical techniques, economic and statistical research methods. The results and their significance: the authors identified the main directions of digitalization of the financial sector of the modern economy, noted the role of FinTech companies and services in both theoretical and practical terms, and provided relevant approaches to the definition of this concept in the economic literature. The main reasons and factors for the development of this direction of digitalization of the financial sector are substantiated, including the concept of financial accessibility, the advantages and disadvantages of FinTech, various approaches to their classification, country and regional characteristics, and an analysis of development trends. The crowdfunding direction of FinTech is noted, approaches to its definition and classification are given, the advantages of the crowdfunding mechanism are revealed, and its role in the modern economy is analyzed. The trend of algorithmic trading development as the most important direction of digitalization of the financial sector is investigated. A detailed analysis of mobile financial services as one of the fastest-growing areas of FinTech is carried out, approaches to their classification are given, factors stimulating the growth of mobile payments, country and regional characteristics are substantiated. The main directions of digitalization of the insurance sector are analyzed, reasonable conclusions about the advantages of InsurTech are made. Keywords: digitalization of the financial sector, FinTech, financial accessibility, crowdfunding, algorithmic trading, mobile financial services, mobile money, InsurTech.

Legislation for Video­‑Sharing Platforms on the European Audiovisual Market

The progressing convergence of television and Internet services has caused a dynamic development of the audiovisual market. The decision to regulate the subject matter of video-sharing platforms (VSPs) in the amended Audiovisual Media Services Directive (AVMSD) was dictated by recognition that such platforms compete for the same viewers and incomes as other audiovisual media services. Coordination of legislation on the European level led to the necessity to introduce amendments to Polish law. The main purpose of this article is to present selected provisions of AVMSD and Poland’s Broadcasting Act concerning VSPs as an area of media policy, which previously had fallen outside the scope of institutional intervention and regulatory restrictions relating to the traditional media market. The central question that author attempted to resolve was whether measures used in relation to VSP providers are legitimate, necessary and proportional. The study explains the definition of video delivery services which is fundamental from the point of view of imposing some obligations on these types of services.

Review of Scenario Planning and Future Strategy of PT. Telkomsel's Fixed Mobile Convergence (FMC) Service Implementation

Purpose: This abstract provides a brief overview of a review article that explores the scenario planning approach and future strategies for the implementation of Fixed Mobile Convergence (FMC) services by PT. Telkomsel. This study aimed to analyze the limitations and contributions of scenario planning in shaping future strategies for FMC service implementation.
 Research methodology: This study uses a scenario planning method that aims to identify the driving forces for the future of the telecommunications industry in Indonesia in 2030, and then formulates a scenario for the future of telecommunications services in Indonesia, which is then used as the basis for recommendations for the company's business strategy for implementing PT. Telkomsel's FMC services, which will be carried out, are a qualitative method.
 Results: The research results found that, in the future, network coverage and technology will no longer be a competitive advantage for telecommunications companies in Indonesia. The research results show four future scenarios for the telecommunications industry in Indonesia: New Glory, Win Back Domination, Digital Colonialism and Business as Usual.
 Implementation: There is a phenomenon at PT. Telkomsel, where companies must always invest in additional infrastructure to meet customer bandwidth needs. PT. Telkomsel will implement fixed mobile convergence (FMC) services to increase a company's competitive advantage, but in implementing FMC services, companies must anticipate conditions that are changing (volatility), uncertain (uncertain), complex (complex), and unclear (ambiguity). (VUCA) to minimize future business risk. Therefore, scenario planning is necessary to create a corporate strategy.

МОДЕЛЬ КОНВЕРГЕНЦИИ РЫНКА УСЛУГ РОЗНИЧНОЙ ТОРГОВЛИ В УСЛОВИЯХ НОВЫХ ВЫЗОВОВ

The article develops a model of convergence of the retail services market operating in the context of new challenges facing the economy of the Russian Federation. Attention is focused on the fact that convergence is understood as a process resulting from the growth (escalation) and transforma-tive integration (conversion through cooperation, consolidation, collaboration) of digital ecosystems of the retail services market, which have a sufficient amount of information resources and digital technol-ogies aimed at creating competitive advantages and synergies in order to achieve common results.

Metro access network with convergence of coherent and analog RoF data services

Metro access network with convergence of coherent and analog RoF data services

A Real-Time Shipping Container Accident Inference System Monitoring the Alignment State of Shipping Containers in Edge Environments

Along with the recent development of artificial intelligence technology, convergence services that apply technology are undergoing active development in various industrial fields. In particular, artificial intelligence-based object recognition technologies are being widely applied to the development of intelligent analysis services based on image data and streaming video data. As such, in the port yard, these object recognition technologies are being used to develop port safety services in smart ports. Accidents are a frequent occurrence in port yards due to misaligned loading of ship containers. In order to prevent such accidents, various studies using artificial intelligence technology are underway. In this paper, we propose a real-time shipping container accident inference edge system that can analyze the ship container’s loading status from a safety point of view to prevent accidents in advance. The proposed system includes the collection of video data of the ship container, inferring the safety level of the alignment status of the ship container, and transmitting the inference results for the safety level. In this paper, the proposed inference model is implemented with YOLOv3, YOLOv4 and YOLOv7 networks and can be used in video monitoring to realize the accurate classification and positioning of three different safety levels (safe, caution, and danger) in real time. In the performance evaluation, the detection accuracy of the inference model implemented with the YOLOv4 network was greater than 0.95. Its performance was also significantly better than that of the inference model implemented with the YOLOv3 and YOLOv7 networks. Although it was slightly inferior to the YOLOv4 network in terms of the accuracy, the inference model implemented with the YOLOv3 network had a faster inference speed than the model implemented with the YOLOv4 and YOLOv7 networks. Because of the port safety scenario, in which the inference accuracy is more important than the inference speed, we applied the YOLOv4 algorithm to the inference model of the system.

Application of Machine Learning in Healthcare and Medicine: A Review

This extensive literature review investigates the integration of Machine Learning (ML) into the healthcare sector, uncovering its potential, challenges, and strategic resolutions. The main objective is to comprehensively explore how ML is incorporated into medical practices, demonstrate its impact, and provide relevant solutions. The research motivation stems from the necessity to comprehend the convergence of ML and healthcare services, given its intricate implications. Through meticulous analysis of existing research, this method elucidates the broad spectrum of ML applications in disease prediction and personalized treatment. The research's precision lies in dissecting methodologies, scrutinizing studies, and extrapolating critical insights. The article establishes that ML has succeeded in various aspects of medical care. In certain studies, ML algorithms, especially Convolutional Neural Networks (CNNs), have achieved high accuracy in diagnosing diseases such as lung cancer, colorectal cancer, brain tumors, and breast tumors. Apart from CNNs, other algorithms like SVM, RF, k-NN, and DT have also proven effective. Evaluations based on accuracy and F1-score indicate satisfactory results, with some studies exceeding 90% accuracy. This principal finding underscores the impressive accuracy of ML algorithms in diagnosing diverse medical conditions. This outcome signifies the transformative potential of ML in reshaping conventional diagnostic techniques. Discussions revolve around challenges like data quality, security risks, potential misinterpretations, and obstacles in integrating ML into clinical realms. To mitigate these, multifaceted solutions are proposed, encompassing standardized data formats, robust encryption, model interpretation, clinician training, and stakeholder collaboration.

Dynamic Context Awareness of Universal Middleware based for IoT SNMP Service Platform

This study focused on the Universal Middleware design for the IoT (Internet of Things) service gateway for the implementation module of the convergence platform. Recently, IoT service gateway including convergence platform could be supported on dynamic module system that is required mounting and recognized intelligent status with the remote network protocol. These awareness concepts support the dynamic environment of the cross-platform distributed computing technology is supported by these idea as a Universal Middleware for network substitution. Distribution system commonly used in recent embedded systems include CORBA (Common Object Request Broker Architecture), RMI (Remote Method Invocation), DCE (Distributed Computing Environment) for dynamic service interface, and suggested implementations of a device object context. However, the aforementioned technologies do not support each standardization of application services, communication protocols, and data, but are also limited in supporting inter-system scalability. In particular, in order to configure an IoT service module, the system can be simplified, and an independent service module can be configured as long as it can support the standardization of modules based on hardware and software components. This paper proposed a design method for Universal Middleware that, by providing IoT modules and service gateways with scalability for configuring operating system configuration, may be utilized as an alternative. This design could be a standardized interface provisioning way for hardware and software components as convergence services, and providing a framework for system construction. Universal Middleware Framework could be presented and dynamic environment standardization module of network protocols, various application service modules such as JINI (Apache River), UPnP (Universal Plug & Play), SLP (Service Location Protocol) bundles that provide communication facilities, and persistence data module. In this IoT gateway, management for based Universal Middleware framework support and available for each management operation, application service component could be cross-executed over SNMP (Simple Network Management Protocol) version 1, version 2, and version 3. The way of SNMP extension service modules are conducted cross-support each module and independent system meta-information that could be built life cycle management component through the MIB (Management Information Base) information unit analysis. Therefore, the MIB role of relation with the Dispatcher applied to support multiple concurrent SNMP messages by receiving incoming messages and managing the transfer of PDU (Protocol Data Unit) between the RFC 1906 network in this study. Results of the study revealed utilizing Universal Middleware that dynamic situations of context objects with mechanisms and tools to publish information could be consisted of IoT to standardize module interfaces to external service clients as a convergence between hardware and software platforms.

Consumer Preferences for Smart Energy Services Based on AMI Data in the Power Sector

Advanced metering infrastructure (AMI) is becoming increasingly popular as an efficient means of energy demand management. By collecting energy data through AMI, it is possible to provide users with information that can induce them to change their behavior. To ensure that AMI continues to expand and to encourage the use of energy data, it is important to increase consumer participation and analyze their preferred service attributes. This study utilized a choice experiment to analyze consumer preferences for and acceptance of smart energy services based on AMI data. The results of a mixed logit model estimation show that consumers prefer the electricity information service for individual households and the social safety-net service among convergence services. A scenario analysis confirms that monetary compensation to offset any additional charges is important to maintain the level of consumer acceptance. These empirical findings offer insights for policymakers and companies seeking to develop policies and similar services.

Analysis of News Articles on Urban Agriculture using Text Mining from 2012 to 2021

Background and objective: Urbanization and reckless development have caused numerous problems, and urban agriculture with various functions is getting attention as a countermeasure. The purpose of this study is to provide basic data for revitalizing related research and setting effective policy directions by analyzing online articles on urban agriculture from 2012 to 2021.Methods: A total of 15,336 online news articles on urban agriculture were collected from January 1, 2012 to December 31, 2021. For more detailed analysis, the time period was divided by 5 years. Next, nouns were tokenized through morphological analysis, and the main keywords were confirmed by simple frequency analysis and TF-IDF weighting analysis. Following that, LDA topic modeling was conducted to generate topics and words for each period. Python 3.9.5 was applied to run the above analysis.Results: As a result of the analysis, there were four topics in the 1st period and six topics in the 2nd period. Summarizing the topics over time, it was found that urban agriculture is expanding not only to social and cultural areas but also to diverse areas such as welfare and the environment. In addition, as the role of urban agriculture and the demand for services expanded, various education courses and programs were activated, including the implementation of a national professional qualification system, expert training courses, and cultivation technology programs.Conclusion: Based on the findings, urban agriculture is expected to be able to expand into various areas that take multidisciplinary values into account and create various convergence services that follow the trend of the times.

Utilization of 5G Technologies in IoT Applications: Current Limitations by Interference and Network Optimization Difficulties-A Review.

5G (fifth-generation technology) technologies are becoming more mainstream thanks to great efforts from telecommunication companies, research facilities, and governments. This technology is often associated with the Internet of Things to improve the quality of life for citizens by automating and gathering data recollection processes. This paper presents the 5G and IoT technologies, explaining common architectures, typical IoT implementations, and recurring problems. This work also presents a detailed and explained overview of interference in general wireless applications, interference unique to 5G and IoT, and possible optimization techniques to overcome these challenges. This manuscript highlights the importance of addressing interference and optimizing network performance in 5G networks to ensure reliable and efficient connectivity for IoT devices, which is essential for adequately functioning business processes. This insight can be helpful for businesses that rely on these technologies to improve their productivity, reduce downtime, and enhance customer satisfaction. We also highlight the potential of the convergence of networks and services in increasing the availability and speed of access to the internet, enabling a range of new and innovative applications and services.

디지털 전환시대에 따른 ICT 제조기업의 혁신생태계 및 혁신성과에 관한 연구

Recently, since the digital transformation waves have impacted the economic system and industry structure, conventional technology and business have been changed via the convergence of manufacturing and service, general business and platform business, etc. In this regard, this paper explores the innovation ecosystem and innovation performance of ICT manufacturing firms with respect to government innovation and R&D policy. This paper attempts to utilize cross-sectional data from 333 ICT manufacturing firms and to build two different types of innovation ecosystem models and the innovation performance model. First, the findings show that in the knowledge spillover channel model, ICT manufacturing firms tend to use IPRs and collaboration channels rather than the public domain channel. Second, in the innovation partnership model, ICT manufacturing firms prefer partnerships with private companies that are their buyers within the supply chain of the high-tech industry rather than utilizing their internal innovation resources and even local universities nearby. Third, the findings also show that in the innovation performance model, the product innovation performance of ICT manufacturing firms is highly associated with patents and R&D spending. Moreover, the product innovation performance of ICT manufacturing firms has a positive relationship with non-financial support of the government such as HR, technique, certifications, etc., but it has a negative relationship with the direct financial support of the government because it is more likely to consider about a moral hazard problem.

RESEARCH OF FUNCTIONAL PARAMETERS OF INFOCOMMUNICATION NETWORKS 6G

The work presents the results of research into 6G technology, which will allow integrating all types of access in one mobile phone, ensuring smooth switching between services. New options for the use of mobile networks, such as sensing and artificial intelligence, are considered, which form new indicators of the quality of the information service – the resolution of sensing and the probability of output. For new applications, the prospects for further research into related indicators, such as flexibility and scalability to support own artificial intelligence services and network reliability level, are considered. Prospects for the development of electronic health care based on mobile communication systems with increased requirements for reliability, availability, security and confidentiality are considered. A platform for aerial mobility of various high-resolution sensors and cameras for various industries based on unmanned aerial vehicles has been investigated. The fundamental energy limitations of calculations related to information processing, which are an important step on the way to the successful deployment of 6G wireless networks, are considered. In the design of next-generation wireless communication networks, it has been determined that traditional AI optimization algorithms (such as federated learning) usually consider the bandwidth or delay of wireless connections as a weight for distributed multiprocessor data exchange, without considering the power energy bounds between different devices in different regions. This ambiguous consideration of AI energy limitations or power costs may lead to a large divergence between the design of a wireless network and the actual deployment of AI in the future. For this reason, equal importance must be attached to green AI and green communications. Therefore, when designing the architecture of the 6G information communication system, it is necessary to fully consider the impact of artificial intelligence models, algorithms and equipment on energy consumption to provide economic benefits to customers with corresponding operating costs of the system. The peculiarities of providing users with access to Internet services at any time through the same device regardless of their location, which is one of the ultimate goals of creating effective wireless networks, are discussed. The proposed concept of green AI called Oncefor-All (once and forever), according to which it is proposed to train an information communication network with further specialization during deployment will allow for efficient logical implementation on many devices, taking into account the given resource constraints. At the same time, terrestrial and non-terrestrial 6G networks will be fully integrated at the system level, ensuring the convergence of services, radio interfaces, networks and user devices. By organically combining these two access environments into one converged multi-layer heterogeneous network covering the entire globe, 6G technology will provide users with the same service. Ensuring the global delivery of mobile services will be an important aspect of the development of the 6G network.

Standards of Building e-Learning Systems in Higher Education

At the beginning of the 21st century, virtual education has been positioned as an alternative modality, among other aspects, due to psycho-pedagogical advances and constant technological innovation. There has also been an exponential increase in educational proposals online due to the influence exerted by globalization and the increase in the use of information and communication technologies to provide educational services. Thus, virtual teaching and the development of learning objects represent permanent research phenomena in all disciplinary areas. Digital learning is characterized by the convergence of methods, technologies, applications and services aimed at sustaining learning via the web-portals. Therefore, online training considers as fundamental aspects for the learning development of skills in the management of technological platforms. It is also clear that online education is intended to penetrate the education market at all levels, and this is what also prompts reflection on the potential impact on education in the present century.

Design of an FTTH (Fiber To The Home) network for improving voice, broadband, and television services in hard-to-reach areas the Colombian case

This project establishes the process of designing a fiber optic Ftth network that reaches the homes of each end customer, which allows providing voice services, broadband internet, and television, the above using GPON technology, based on the tree architecture through passive elements, where the node or central is connected to other nodes through a common link, which is shared by all the nodes (ONTs) of the network. This network will be designed in two levels, the first level that starts from the OLT to the level one splitter and the second level that begins from the level one splitter to the OTB element that the level two Splitters have. The entire design will be subject to standards that must be met to achieve the percentage of attenuation allowed. At the design level, it has two directions: one from left to right, where the nodes insert traffic, and another from right to left, where the nodes only have two functions: read or read and delete traffic. It is nothing more than the convergence of the primary communication services of today, such as fixed telephony, the internet, and television. The FTTH Network is designed for the Municipality of Usiacurí of the Department of Atlántico, using the Top-Down Design methodology, where the requirements are analyzed, the designs are developed, and the tests are carried out. The operation of this network is monitored.