Gabriel Dario Piñeres Espitia | Universidad de la Costa (original) (raw)

Papers by Gabriel Dario Piñeres Espitia

Research paper thumbnail of Enhancing learning environments with IoT: a novel decision-making approach using probabilistic linguistic T-spherical fuzzy set

The Journal of Supercomputing , 2024

The Internet of Things is a system of networked devices that can gather, process, and share data ... more The Internet of Things is a system of networked devices that can gather, process, and share data through the Internet. The Internet of Things has vast potential to spread widely across various aspects of our lives. The educational process model is undergoing a transformation in which the learning requirements for different students must be fulfilled in various ways. Our study presents a novel multi-attribute group decision-making strategy that examines how the Internet of Things can help to provide the best learning environment while also making the educational process more effective. The probabilistic linguistic T-spherical fuzzy set (PLT-SFS) is a modification of the T-spherical fuzzy set in which the degrees of membership, abstinence, and non-membership are characterized by probabilistic linguistic terms. Then two new aggregation operators, the PLT-SF weighted power average (PLT-SFWPA) operator and the PLT-SF weighted power geometric (PLT-SFWPG) operator, are introduced. After that, an approach to multi-attribute group decision-making based on the analytic hierarchy process is constructed in which the data are aggregated by the PLT-SFWPA operator. To illustrate the validity of the proposed approach, a case study of nine Internet of Things applications for enhancing learning environments is provided.

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Research paper thumbnail of An extended COPRAS method based on complex q-rung orthopair fuzzy 2-tuple linguistic Maclaurin symmetric mean aggregation operators

Journal of Ambient Intelligence and Humanized Computing , 2024

The complex q-rung orthopair fuzzy 2-tuple linguistic set (Cq-ROFTLS), which merges the concepts ... more The complex q-rung orthopair fuzzy 2-tuple linguistic set (Cq-ROFTLS), which merges the concepts of complex q-rung orthopair fuzzy sets (Cq-ROFS) and 2-tuple linguistic terms, offers significant advantages in dealing with uncertain and imprecise information during decision-making by effectively representing two-dimensional information within a single set. Notably, the Cq-ROFTLS introduces phase terms that empower experts to express their perspectives flexibly, particularly enhancing its capacity to address periodic elements. To address uncertainty, this approach employs complex values to quantify both membership and non-membership degrees within 2-tuple linguistic environment. Additionally, this research introduces the generalized Maclaurin symmetric mean (MSM) aggregation operator, specifically designed for Cq-ROFTL information. This introduces the Cq-ROFTLMSM and its dual form, the Cq-ROFTL Dual MSM (Cq-ROFTLDMSM), each carrying valuable properties. In cases where the importance of input factors varies, the study proposes the Cq-ROFTL weighted MSM (Cq-ROFTLWMSM) and its dual form, the Cq-ROFTL weighted dual MSM (Cq-ROFTLWDMSM). These operators not only make their debut but also showcase their properties and applications. They flexibly adjust to the significance of inputs, leading to a more refined decision-making process. The methodology extends to address multi-attribute group decision-making (MAGDM) within the Cq-ROFTL framework using the Complex Proportional Assessment (COPRAS) method. The introduction of new aggregation techniques further enhances this approach. A practical illustration involving the selection of the optimal bio-energy production technology (BPT) highlights the real-world effectiveness of the methodology. Through thorough comparisons and a focused exploration of advantages, the study effectively validates the merits of this approach.

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Research paper thumbnail of Sensors and Machine Learning Algorithms for Location and POSTURE Activity Recognition in Smart Environments

Automatic Control and Computer Sciences , 2024

Human activity recognition (HAR) has become a focus of study over the past few years. It is widel... more Human activity recognition (HAR) has become a focus of study over the past few years. It is widely used in many fields like health, home safety, security, and energy saving, among others. Research around the health area has evidenced an important increase and a promissory impact on the life quality of a population like the elderly. If we combine sensors and a health condition then we may have a technological solution with methods and techniques that will help us to improve life quality. Smart sensors have become popular. They allow us to monitor data and acquire data in real-time. In HAR, they are used to detect actions and activities like breathing, falling, standing up, or walking. Many commercial solutions use this technology in real-life applications. However, we focused this paper on the Vayaar sensor and the WideFind sensor, two commercial sensors based on ultra-wideband technology, with promising performance, as part of a study developed at the Human Health and Activity Laboratory (H2AL) in the Luleå Tekniska Universitet in Sweden. The study performed a technological and commercial comparison applying machine learning techniques in WEKA for two datasets created with the data gathered from each sensor during an experiment, in which precision and accuracy were analyzed as evaluation parameters of the applied methods. It was identified that random forest (RF) and LogitBoost were the most suitable classifiers to process both WideFind and Vayyar datasets. Random forest had a performance of 85.99% of precision, 85.48% of recall, and 96% of ROC area for the WideFind sensor while LogitBoost had a 69.39% of the performance for precision, 68.89% for recall, and 88.35% of ROC area for the Vayaar sensor.

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Research paper thumbnail of Novel characterization and tuning methods for integrating processes

International Journal of Information Technology, Jan 27, 2024

The manuscript presents new methodologies for process characterization and control tuning for in... more The manuscript presents new methodologies for process characterization and control tuning for integrated systems. Integrative systems are widespread in the industrial environment. Some control systems for level, pressure, concentration, and temperature are examples. Although many papers have been published on the subject, no standard has been established, so this remains an open problem. The
proposed characterization method consists of deriving the response of the integrating system and applying characterization techniques for self-regulated processes. The proposed tuning method is based on deducing tuning equations for a PD control from the λ tuning rules. The performance of the proposed methods is validated through simulation and experimental tests.

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Research paper thumbnail of Prediction based cost estimation technique in agile development

Advances in Engineering Software, 2023

Agile has been invented to improve and overcome the deficiencies of efficient software developmen... more Agile has been invented to improve and overcome the deficiencies of efficient software development. At present, the agile model is used in software development vastly due to its support to both developers and clients resourcefully. Agile methodology increases the interaction between the developer and client to make the software product defect-free. The agile model is getting to be a well-known life cycle model because of its particular features and most owing is to allow changes at any level of the project from the product owner. However, on other hand, this novel feature is a disadvantage of the agile model due to frequent change requests from the client has increased the cost and time. To overcome cost and time estimation issues different cost estimation techniques are being used in agile development but no one is pertinent for accurate estimation. Therefore, this study has proposed a cost estimation technique. The proposed estimation technique is predictions-based and has different categorizations of projects based on user stories complexities and the developer's expertise. We have applied the suggested technique to ongoing projects to find the results and effectiveness. We have used two projects with different sizes and user stories. Both projects have different modules and developers with different expertise. We have used the proposed estimation technique on projects and done a survey session with the teams. This survey session's main objective is to reveal the statistical findings of the proposed solution. We have designed the 12 hypotheses for statistical analysis.

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Research paper thumbnail of A software-based cost estimation technique in scrum using a developer's expertise

Background: Scrum methodology is the most useful and adopted part of the agile methodology. Many ... more Background: Scrum methodology is the most useful and adopted part of the agile methodology. Many organizations are adopting Scrum for the last decade to meet their software requirements. It is facilitating the software industries to develop software applications according to the user's requirements. Objective: Scrum helps to fulfill the customer's requirements by interacting with the client and developer. Instead of this, scrum still has some challenges that influence the cost of a scrum. These challenging factors include coordination, team size, change request, complexity, and issues in daily meeting sessions. Due to these factors mostly the cost and time exceed scrum-based projects. To overcome these issues from the accurate and precise estimation in the scrum project we have developed a web-based software system to estimate the effort of a user story as well as the budget. Methodology: There are some sophisticated cost estimation techniques for scrum-based projects. But all estimation techniques have some limitations that make them less useful for estimation and overcoming the effects of these factors in the scrum. We have surveyed the multiple software industries to get the static findings of the survey. We have designed the 30 hypotheses that main aim to reveal how much the proposed estimation technique is valuable for the accuracy of estimation. For the inclusion of participants, we have set the age criteria to get the opinions of the most experienced programmers. Results: The main aim of this paper is to provide knowledge about key challenging factors in Scrum that cause exceed in cost and time, and also briefly explain why existing scrum cost estimation techniques are not pertinent for projects. In the last, we propose a framework as a solution to manage these factors and control cost and time from exceeding. We also adopted this estimation technique in different case studies in software industries for findings and results. The technique calculates the efforts autonomously. We design a software-based estimation technique that collects inputs from team/s and estimates the cost and time of a project. Conclusion: In outcomes, we found that our cost estimation approach reduced the issues from scrum software project development and make it more proficient for estimation of projects. Our proposed estimation technique introduced the new concept of estimation that facilitate the client, software industry, and developers as well to meet the requirements of the client, fulfill the changes during the sprints/s development and deliver the project within the time and cost.

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Research paper thumbnail of A software-based cost estimation technique in scrum using a developer's expertise

Advances in Engineering Software

Scrum methodology is the most useful and adopted part of the agile methodology. Many organization... more Scrum methodology is the most useful and adopted part of the agile methodology. Many organizations are adopting Scrum for the last decade to meet their software requirements. It is facilitating the software industries to develop software applications according to the user's requirements. Objective Scrum helps to fulfill the customer's requirements by interacting with the client and developer. Instead of this, scrum still has some challenges that influence the cost of a scrum. These challenging factors include coordination, team size, change request, complexity, and issues in daily meeting sessions. Due to these factors mostly the cost and time exceed scrum-based projects. To overcome these issues from the accurate and precise estimation in the scrum project we have developed a web-based software system to estimate the effort of a user story as well as the budget. Methodology There are some sophisticated cost estimation techniques for scrum-based projects. But all estimation techniques have some limitations that make them less useful for estimation and overcoming the effects of these factors in the scrum. We have surveyed the multiple software industries to get the static findings of the survey. We have designed the 30 hypotheses that main aim to reveal how much the proposed estimation technique is valuable for the accuracy of estimation. For the inclusion of participants, we have set the age criteria to get the opinions of the most experienced programmers. Results The main aim of this paper is to provide knowledge about key challenging factors in Scrum that cause exceed in cost and time, and also briefly explain why existing scrum cost estimation techniques are not pertinent for projects. In the last, we propose a framework as a solution to manage these factors and control cost and time from exceeding. We also adopted this estimation technique in different case studies in software industries for findings and results. The technique calculates the efforts autonomously. We design a software-based estimation technique that collects inputs from team/s and estimates the cost and time of a project. Conclusion In outcomes, we found that our cost estimation approach reduced the issues from scrum software project development and make it more proficient for estimation of projects. Our proposed estimation technique introduced the new concept of estimation that facilitate the client, software industry, and developers as well to meet the requirements of the client, fulfill the changes during the sprints/s development and deliver the project within the time and cost.

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Research paper thumbnail of Evaluacion Del Rendimiento Del Protocolo 6LOWPAN Sobre Una Plataforma De Hardware y Software Libre

Universidad Tecnológica de Bolívar, 2015

Informe final de trabajo de grado de Maestría en Ingeniería donde se evaluó el protocolo 6lowpan ... more Informe final de trabajo de grado de Maestría en Ingeniería donde se evaluó el protocolo 6lowpan a través de métricas de rendimientos como pérdida de paquetes, retardo en envío de paquetes, retardo de RTT, y Jitter. Esta evaluación fue complementada con el uso de protocolos como RPL y LPL para evaluar el comportamiento del direccionamiento con 6Lowpan en escenarios con enrutamientos dinámicos y estáticos, además de variaciones en los tiempos de escaneo del canal.

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Research paper thumbnail of Human Activity Recognition Through Wireless Body Sensor Networks (WBSN) Applying Data Mining Techniques

Advances in Intelligent Data Analysis and Applications, 2021

The research field on technologies and wireless sensor networks (WSN) are becoming one of the mos... more The research field on technologies and wireless sensor networks (WSN) are becoming one of the most disruptive technologies that support different scenarios of ubiquitous and generalized computing. WSN applied to the human body is generally called wireless body sensor networks. WSN can provide large quantities of data. The use of data mining techniques has allowed expanding WSN in new areas like biomedicine or telemedicine. The identification of psychological patterns and human activity recognition are two important trends to follow. In the current study, it is applied a SEMMA methodology to implement data mining clustering and classification techniques over RSS signal samples of a WBSN, based on IEEE 802.15.4 networks, with the intention of recognizing human activities based on samples. Two algorithms are applied, C4.5 and LTM for evaluate the rate success in the prediction.

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Research paper thumbnail of IoT Monitoring of Water Consumption for Irrigation Systems Using SEMMA Methodology

Intelligent Human Computer Interaction, 2020

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Research paper thumbnail of Diseño de una red de monitorización de variables meteorológicas relacionadas a los tornados en Barranquilla-Colombia y su área metropolitana

Ingeniare. Revista chilena de ingeniería, 2017

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Research paper thumbnail of Performance analysis of 6LoWPAN protocol for a flood monitoring system

EURASIP Journal on Wireless Communications and Networking, 2022

The internet of things is a disruptive technology that has been applied as a solution to problems... more The internet of things is a disruptive technology that has been applied as a solution to problems in many fields of monitoring environmental variables. It is supported by technologies such as wireless sensor networks, which offer many protocols and hardware platforms in the market today. Protocols such as 6LoWPAN are novel, so this work focuses on determining whether its implementation on TelosB mote is feasible; these would be placed on an experimental deployment for a particular scenario of flash floods in a sector known as “La Brigada”, in the city of Barranquilla. This proposal has not been evaluated in Colombia for this type of application, and no similar work has been done for this type of scenario. For the evaluation of 6LoWPAN, a deployment with two end nodes and a sink node has been designed, due to the monitoring section under study; 5-min tests are proposed where through round trip time traffic PINGv6 packets are generated back and forth (Echo) between a sink node and two...

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Research paper thumbnail of Communication protocols evaluation for a wireless rainfall monitoring network in an urban area

Heliyon, 2021

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Research paper thumbnail of Project Management Issues While Using Agile Methodology

Lecture Notes in Business Information Processing, 2022

Software engineering has many software development life cycle (SDLC) models to develop a software... more Software engineering has many software development life cycle (SDLC) models to develop a software application and the latest SDLC models have been provided by agile methods. The agile methodology has been introduced due to some existing lacks in software development. Now agile methodology is used to overcome these deficiencies and improve software development. The use of the agile methodology is increased within software industries due to its distinctive features such as enabling change requests from the client at any stage of a project, client satisfaction, iterative development, and clientdeveloper interaction. Another reason for agile adoption is the methods that are being used for agile software development. These methods include Scrum, Feature drive development, Extreme programming, and Dynamic system development methods. However, the agile methodology has some issues for project development and management. In this study, we discuss all these issues which are related to agile methods and individuals (i.e. team and developer). Further, we suggest the possible improvements that need to be introduced in the agile methodology. We believe such improvements is to make the agile methodology more productive for development environments.

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Research paper thumbnail of Measurement of Energy Efficiency Metrics of Data Centers. Case Study: Higher Education Institution of Barranquilla

Software Engineering Perspectives in Intelligent Systems, 2020

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Research paper thumbnail of Tecnologías para el estudio y prevención de tornados en el contexto del departamento del Atlántico

Los fenomenos meteorologicos han sido objetos de estudio y comprension, para establecer parametro... more Los fenomenos meteorologicos han sido objetos de estudio y comprension, para establecer parametros de prevencion y formulas de actuar ante la presencia de una eventualidad. Los cambios en el sistema climatico global han ocurrido durante toda la historia del planeta a partir de los primeros miles de millones de anos de formacion, dichas modificaciones se han presentado por causas naturales que incluyen: cambios en la orbita terrestre, alteraciones en la excentricidad del planeta, actividad volcanica intensa e impactos de meteoritos [1]. En Barranquilla uno de estos fenomenos son los tornados, los cuales se han presentado con reiteracion en zonas, tales como el “corredor de Soledad”. Entidades como el Comando Aereo de combate No 3 Barranquilla de la Fuerza Aerea Colombiana, con sede en Malambo se ha interesado en estudiar estos fenomenos, pensando no solamente en poder ahondar sobre el tema de la formacion de los tornados, siendo necesario conocer los avances tecnologicos logrados has...

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Research paper thumbnail of Gas Sensing System using An Unmanned Aerial Vehicle

2021 6th International Conference for Convergence in Technology (I2CT), 2021

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Research paper thumbnail of Monitoring system for agronomic variables based in WSN technology on cassava crops

Computers and Electronics in Agriculture, 2018

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Research paper thumbnail of Received strength signal intensity performance analysis in wireless sensor network using Arduino platform and XBee wireless modules

International Journal of Distributed Sensor Networks, 2017

Today, through the monitoring of agronomic variables, the wireless sensor networks are playing an... more Today, through the monitoring of agronomic variables, the wireless sensor networks are playing an increasingly important role in precision agriculture. Among the emerging technologies used to develop prototypes related to wireless sensor network, we find the Arduino platform and XBee radio modules from the DIGI Company. In this article, based on field tests, we conducted a comparative analysis of received strength signal intensity levels, calculation of path loss with “log-normal shadowing” and free-space path loss models. In addition, we measure packet loss for different transmission, distances and environments with respect to an “Arduino Mega” board, and radio modules XBee PRO S1 and XBee Pro S2. The tests for the packet loss and received strength signal intensity level show the best performance for the XBee Pro S2 in the indoor, outdoor, and rural scenarios.

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Research paper thumbnail of Diseño de una red de sensores inalámbricos para la monitorización de inundaciones repentinas en la ciudad de Barranquilla, Colombia

Ingeniare. Revista chilena de ingeniería, 2016

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Research paper thumbnail of Enhancing learning environments with IoT: a novel decision-making approach using probabilistic linguistic T-spherical fuzzy set

The Journal of Supercomputing , 2024

The Internet of Things is a system of networked devices that can gather, process, and share data ... more The Internet of Things is a system of networked devices that can gather, process, and share data through the Internet. The Internet of Things has vast potential to spread widely across various aspects of our lives. The educational process model is undergoing a transformation in which the learning requirements for different students must be fulfilled in various ways. Our study presents a novel multi-attribute group decision-making strategy that examines how the Internet of Things can help to provide the best learning environment while also making the educational process more effective. The probabilistic linguistic T-spherical fuzzy set (PLT-SFS) is a modification of the T-spherical fuzzy set in which the degrees of membership, abstinence, and non-membership are characterized by probabilistic linguistic terms. Then two new aggregation operators, the PLT-SF weighted power average (PLT-SFWPA) operator and the PLT-SF weighted power geometric (PLT-SFWPG) operator, are introduced. After that, an approach to multi-attribute group decision-making based on the analytic hierarchy process is constructed in which the data are aggregated by the PLT-SFWPA operator. To illustrate the validity of the proposed approach, a case study of nine Internet of Things applications for enhancing learning environments is provided.

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Research paper thumbnail of An extended COPRAS method based on complex q-rung orthopair fuzzy 2-tuple linguistic Maclaurin symmetric mean aggregation operators

Journal of Ambient Intelligence and Humanized Computing , 2024

The complex q-rung orthopair fuzzy 2-tuple linguistic set (Cq-ROFTLS), which merges the concepts ... more The complex q-rung orthopair fuzzy 2-tuple linguistic set (Cq-ROFTLS), which merges the concepts of complex q-rung orthopair fuzzy sets (Cq-ROFS) and 2-tuple linguistic terms, offers significant advantages in dealing with uncertain and imprecise information during decision-making by effectively representing two-dimensional information within a single set. Notably, the Cq-ROFTLS introduces phase terms that empower experts to express their perspectives flexibly, particularly enhancing its capacity to address periodic elements. To address uncertainty, this approach employs complex values to quantify both membership and non-membership degrees within 2-tuple linguistic environment. Additionally, this research introduces the generalized Maclaurin symmetric mean (MSM) aggregation operator, specifically designed for Cq-ROFTL information. This introduces the Cq-ROFTLMSM and its dual form, the Cq-ROFTL Dual MSM (Cq-ROFTLDMSM), each carrying valuable properties. In cases where the importance of input factors varies, the study proposes the Cq-ROFTL weighted MSM (Cq-ROFTLWMSM) and its dual form, the Cq-ROFTL weighted dual MSM (Cq-ROFTLWDMSM). These operators not only make their debut but also showcase their properties and applications. They flexibly adjust to the significance of inputs, leading to a more refined decision-making process. The methodology extends to address multi-attribute group decision-making (MAGDM) within the Cq-ROFTL framework using the Complex Proportional Assessment (COPRAS) method. The introduction of new aggregation techniques further enhances this approach. A practical illustration involving the selection of the optimal bio-energy production technology (BPT) highlights the real-world effectiveness of the methodology. Through thorough comparisons and a focused exploration of advantages, the study effectively validates the merits of this approach.

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Research paper thumbnail of Sensors and Machine Learning Algorithms for Location and POSTURE Activity Recognition in Smart Environments

Automatic Control and Computer Sciences , 2024

Human activity recognition (HAR) has become a focus of study over the past few years. It is widel... more Human activity recognition (HAR) has become a focus of study over the past few years. It is widely used in many fields like health, home safety, security, and energy saving, among others. Research around the health area has evidenced an important increase and a promissory impact on the life quality of a population like the elderly. If we combine sensors and a health condition then we may have a technological solution with methods and techniques that will help us to improve life quality. Smart sensors have become popular. They allow us to monitor data and acquire data in real-time. In HAR, they are used to detect actions and activities like breathing, falling, standing up, or walking. Many commercial solutions use this technology in real-life applications. However, we focused this paper on the Vayaar sensor and the WideFind sensor, two commercial sensors based on ultra-wideband technology, with promising performance, as part of a study developed at the Human Health and Activity Laboratory (H2AL) in the Luleå Tekniska Universitet in Sweden. The study performed a technological and commercial comparison applying machine learning techniques in WEKA for two datasets created with the data gathered from each sensor during an experiment, in which precision and accuracy were analyzed as evaluation parameters of the applied methods. It was identified that random forest (RF) and LogitBoost were the most suitable classifiers to process both WideFind and Vayyar datasets. Random forest had a performance of 85.99% of precision, 85.48% of recall, and 96% of ROC area for the WideFind sensor while LogitBoost had a 69.39% of the performance for precision, 68.89% for recall, and 88.35% of ROC area for the Vayaar sensor.

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Research paper thumbnail of Novel characterization and tuning methods for integrating processes

International Journal of Information Technology, Jan 27, 2024

The manuscript presents new methodologies for process characterization and control tuning for in... more The manuscript presents new methodologies for process characterization and control tuning for integrated systems. Integrative systems are widespread in the industrial environment. Some control systems for level, pressure, concentration, and temperature are examples. Although many papers have been published on the subject, no standard has been established, so this remains an open problem. The
proposed characterization method consists of deriving the response of the integrating system and applying characterization techniques for self-regulated processes. The proposed tuning method is based on deducing tuning equations for a PD control from the λ tuning rules. The performance of the proposed methods is validated through simulation and experimental tests.

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Research paper thumbnail of Prediction based cost estimation technique in agile development

Advances in Engineering Software, 2023

Agile has been invented to improve and overcome the deficiencies of efficient software developmen... more Agile has been invented to improve and overcome the deficiencies of efficient software development. At present, the agile model is used in software development vastly due to its support to both developers and clients resourcefully. Agile methodology increases the interaction between the developer and client to make the software product defect-free. The agile model is getting to be a well-known life cycle model because of its particular features and most owing is to allow changes at any level of the project from the product owner. However, on other hand, this novel feature is a disadvantage of the agile model due to frequent change requests from the client has increased the cost and time. To overcome cost and time estimation issues different cost estimation techniques are being used in agile development but no one is pertinent for accurate estimation. Therefore, this study has proposed a cost estimation technique. The proposed estimation technique is predictions-based and has different categorizations of projects based on user stories complexities and the developer's expertise. We have applied the suggested technique to ongoing projects to find the results and effectiveness. We have used two projects with different sizes and user stories. Both projects have different modules and developers with different expertise. We have used the proposed estimation technique on projects and done a survey session with the teams. This survey session's main objective is to reveal the statistical findings of the proposed solution. We have designed the 12 hypotheses for statistical analysis.

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Research paper thumbnail of A software-based cost estimation technique in scrum using a developer's expertise

Background: Scrum methodology is the most useful and adopted part of the agile methodology. Many ... more Background: Scrum methodology is the most useful and adopted part of the agile methodology. Many organizations are adopting Scrum for the last decade to meet their software requirements. It is facilitating the software industries to develop software applications according to the user's requirements. Objective: Scrum helps to fulfill the customer's requirements by interacting with the client and developer. Instead of this, scrum still has some challenges that influence the cost of a scrum. These challenging factors include coordination, team size, change request, complexity, and issues in daily meeting sessions. Due to these factors mostly the cost and time exceed scrum-based projects. To overcome these issues from the accurate and precise estimation in the scrum project we have developed a web-based software system to estimate the effort of a user story as well as the budget. Methodology: There are some sophisticated cost estimation techniques for scrum-based projects. But all estimation techniques have some limitations that make them less useful for estimation and overcoming the effects of these factors in the scrum. We have surveyed the multiple software industries to get the static findings of the survey. We have designed the 30 hypotheses that main aim to reveal how much the proposed estimation technique is valuable for the accuracy of estimation. For the inclusion of participants, we have set the age criteria to get the opinions of the most experienced programmers. Results: The main aim of this paper is to provide knowledge about key challenging factors in Scrum that cause exceed in cost and time, and also briefly explain why existing scrum cost estimation techniques are not pertinent for projects. In the last, we propose a framework as a solution to manage these factors and control cost and time from exceeding. We also adopted this estimation technique in different case studies in software industries for findings and results. The technique calculates the efforts autonomously. We design a software-based estimation technique that collects inputs from team/s and estimates the cost and time of a project. Conclusion: In outcomes, we found that our cost estimation approach reduced the issues from scrum software project development and make it more proficient for estimation of projects. Our proposed estimation technique introduced the new concept of estimation that facilitate the client, software industry, and developers as well to meet the requirements of the client, fulfill the changes during the sprints/s development and deliver the project within the time and cost.

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Research paper thumbnail of A software-based cost estimation technique in scrum using a developer's expertise

Advances in Engineering Software

Scrum methodology is the most useful and adopted part of the agile methodology. Many organization... more Scrum methodology is the most useful and adopted part of the agile methodology. Many organizations are adopting Scrum for the last decade to meet their software requirements. It is facilitating the software industries to develop software applications according to the user's requirements. Objective Scrum helps to fulfill the customer's requirements by interacting with the client and developer. Instead of this, scrum still has some challenges that influence the cost of a scrum. These challenging factors include coordination, team size, change request, complexity, and issues in daily meeting sessions. Due to these factors mostly the cost and time exceed scrum-based projects. To overcome these issues from the accurate and precise estimation in the scrum project we have developed a web-based software system to estimate the effort of a user story as well as the budget. Methodology There are some sophisticated cost estimation techniques for scrum-based projects. But all estimation techniques have some limitations that make them less useful for estimation and overcoming the effects of these factors in the scrum. We have surveyed the multiple software industries to get the static findings of the survey. We have designed the 30 hypotheses that main aim to reveal how much the proposed estimation technique is valuable for the accuracy of estimation. For the inclusion of participants, we have set the age criteria to get the opinions of the most experienced programmers. Results The main aim of this paper is to provide knowledge about key challenging factors in Scrum that cause exceed in cost and time, and also briefly explain why existing scrum cost estimation techniques are not pertinent for projects. In the last, we propose a framework as a solution to manage these factors and control cost and time from exceeding. We also adopted this estimation technique in different case studies in software industries for findings and results. The technique calculates the efforts autonomously. We design a software-based estimation technique that collects inputs from team/s and estimates the cost and time of a project. Conclusion In outcomes, we found that our cost estimation approach reduced the issues from scrum software project development and make it more proficient for estimation of projects. Our proposed estimation technique introduced the new concept of estimation that facilitate the client, software industry, and developers as well to meet the requirements of the client, fulfill the changes during the sprints/s development and deliver the project within the time and cost.

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Research paper thumbnail of Evaluacion Del Rendimiento Del Protocolo 6LOWPAN Sobre Una Plataforma De Hardware y Software Libre

Universidad Tecnológica de Bolívar, 2015

Informe final de trabajo de grado de Maestría en Ingeniería donde se evaluó el protocolo 6lowpan ... more Informe final de trabajo de grado de Maestría en Ingeniería donde se evaluó el protocolo 6lowpan a través de métricas de rendimientos como pérdida de paquetes, retardo en envío de paquetes, retardo de RTT, y Jitter. Esta evaluación fue complementada con el uso de protocolos como RPL y LPL para evaluar el comportamiento del direccionamiento con 6Lowpan en escenarios con enrutamientos dinámicos y estáticos, además de variaciones en los tiempos de escaneo del canal.

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Research paper thumbnail of Human Activity Recognition Through Wireless Body Sensor Networks (WBSN) Applying Data Mining Techniques

Advances in Intelligent Data Analysis and Applications, 2021

The research field on technologies and wireless sensor networks (WSN) are becoming one of the mos... more The research field on technologies and wireless sensor networks (WSN) are becoming one of the most disruptive technologies that support different scenarios of ubiquitous and generalized computing. WSN applied to the human body is generally called wireless body sensor networks. WSN can provide large quantities of data. The use of data mining techniques has allowed expanding WSN in new areas like biomedicine or telemedicine. The identification of psychological patterns and human activity recognition are two important trends to follow. In the current study, it is applied a SEMMA methodology to implement data mining clustering and classification techniques over RSS signal samples of a WBSN, based on IEEE 802.15.4 networks, with the intention of recognizing human activities based on samples. Two algorithms are applied, C4.5 and LTM for evaluate the rate success in the prediction.

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Research paper thumbnail of IoT Monitoring of Water Consumption for Irrigation Systems Using SEMMA Methodology

Intelligent Human Computer Interaction, 2020

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Research paper thumbnail of Diseño de una red de monitorización de variables meteorológicas relacionadas a los tornados en Barranquilla-Colombia y su área metropolitana

Ingeniare. Revista chilena de ingeniería, 2017

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Research paper thumbnail of Performance analysis of 6LoWPAN protocol for a flood monitoring system

EURASIP Journal on Wireless Communications and Networking, 2022

The internet of things is a disruptive technology that has been applied as a solution to problems... more The internet of things is a disruptive technology that has been applied as a solution to problems in many fields of monitoring environmental variables. It is supported by technologies such as wireless sensor networks, which offer many protocols and hardware platforms in the market today. Protocols such as 6LoWPAN are novel, so this work focuses on determining whether its implementation on TelosB mote is feasible; these would be placed on an experimental deployment for a particular scenario of flash floods in a sector known as “La Brigada”, in the city of Barranquilla. This proposal has not been evaluated in Colombia for this type of application, and no similar work has been done for this type of scenario. For the evaluation of 6LoWPAN, a deployment with two end nodes and a sink node has been designed, due to the monitoring section under study; 5-min tests are proposed where through round trip time traffic PINGv6 packets are generated back and forth (Echo) between a sink node and two...

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Research paper thumbnail of Communication protocols evaluation for a wireless rainfall monitoring network in an urban area

Heliyon, 2021

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Research paper thumbnail of Project Management Issues While Using Agile Methodology

Lecture Notes in Business Information Processing, 2022

Software engineering has many software development life cycle (SDLC) models to develop a software... more Software engineering has many software development life cycle (SDLC) models to develop a software application and the latest SDLC models have been provided by agile methods. The agile methodology has been introduced due to some existing lacks in software development. Now agile methodology is used to overcome these deficiencies and improve software development. The use of the agile methodology is increased within software industries due to its distinctive features such as enabling change requests from the client at any stage of a project, client satisfaction, iterative development, and clientdeveloper interaction. Another reason for agile adoption is the methods that are being used for agile software development. These methods include Scrum, Feature drive development, Extreme programming, and Dynamic system development methods. However, the agile methodology has some issues for project development and management. In this study, we discuss all these issues which are related to agile methods and individuals (i.e. team and developer). Further, we suggest the possible improvements that need to be introduced in the agile methodology. We believe such improvements is to make the agile methodology more productive for development environments.

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Research paper thumbnail of Measurement of Energy Efficiency Metrics of Data Centers. Case Study: Higher Education Institution of Barranquilla

Software Engineering Perspectives in Intelligent Systems, 2020

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Research paper thumbnail of Tecnologías para el estudio y prevención de tornados en el contexto del departamento del Atlántico

Los fenomenos meteorologicos han sido objetos de estudio y comprension, para establecer parametro... more Los fenomenos meteorologicos han sido objetos de estudio y comprension, para establecer parametros de prevencion y formulas de actuar ante la presencia de una eventualidad. Los cambios en el sistema climatico global han ocurrido durante toda la historia del planeta a partir de los primeros miles de millones de anos de formacion, dichas modificaciones se han presentado por causas naturales que incluyen: cambios en la orbita terrestre, alteraciones en la excentricidad del planeta, actividad volcanica intensa e impactos de meteoritos [1]. En Barranquilla uno de estos fenomenos son los tornados, los cuales se han presentado con reiteracion en zonas, tales como el “corredor de Soledad”. Entidades como el Comando Aereo de combate No 3 Barranquilla de la Fuerza Aerea Colombiana, con sede en Malambo se ha interesado en estudiar estos fenomenos, pensando no solamente en poder ahondar sobre el tema de la formacion de los tornados, siendo necesario conocer los avances tecnologicos logrados has...

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Research paper thumbnail of Gas Sensing System using An Unmanned Aerial Vehicle

2021 6th International Conference for Convergence in Technology (I2CT), 2021

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Research paper thumbnail of Monitoring system for agronomic variables based in WSN technology on cassava crops

Computers and Electronics in Agriculture, 2018

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Research paper thumbnail of Received strength signal intensity performance analysis in wireless sensor network using Arduino platform and XBee wireless modules

International Journal of Distributed Sensor Networks, 2017

Today, through the monitoring of agronomic variables, the wireless sensor networks are playing an... more Today, through the monitoring of agronomic variables, the wireless sensor networks are playing an increasingly important role in precision agriculture. Among the emerging technologies used to develop prototypes related to wireless sensor network, we find the Arduino platform and XBee radio modules from the DIGI Company. In this article, based on field tests, we conducted a comparative analysis of received strength signal intensity levels, calculation of path loss with “log-normal shadowing” and free-space path loss models. In addition, we measure packet loss for different transmission, distances and environments with respect to an “Arduino Mega” board, and radio modules XBee PRO S1 and XBee Pro S2. The tests for the packet loss and received strength signal intensity level show the best performance for the XBee Pro S2 in the indoor, outdoor, and rural scenarios.

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Research paper thumbnail of Diseño de una red de sensores inalámbricos para la monitorización de inundaciones repentinas en la ciudad de Barranquilla, Colombia

Ingeniare. Revista chilena de ingeniería, 2016

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Research paper thumbnail of EVALUACION DEL RENDIMIENTO DEL PROTOCOLO 6LOWPAN SOBRE UNA PLATAFORMA DE HARDWARE Y SOFTWARE LIBRE

Informe final de trabajo de grado de Maestría en Ingeniería donde se evaluó el protocolo 6lowpan ... more Informe final de trabajo de grado de Maestría en Ingeniería donde se evaluó el protocolo 6lowpan a través de métricas de rendimientos como pérdida de paquetes, retardo en envío de paquetes, retardo de RTT, y Jitter. Esta evaluación fue complementada con el uso de protocolos como RPL y LPL para evaluar el comportamiento del direccionamiento con 6Lowpan en escenarios con enrutamientos dinámicos y estáticos, además de variaciones en los tiempos de escaneo del canal.

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