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In recent years, there has been a big data revolution in smart cities dues to multiple disciplines such as smart healthcare, smart transportation, and smart community. However, most services in these areas of smart cities have become data-driven, thus generating big data that require sharing, storing, processing, and analysis, which ultimately consumes massive amounts of energy. The accumulation process of these data from different areas of a smart city is a challenging issue. Therefore, researchers have started aiming at the Internet of vehicles (IoV), in which smart vehicles are equipped with computing and storage capabilities to communicate with surrounding infrastructure. In this paper, we propose a subcategory of IoV as the Internet of buses (IoB), where public buses enable a service as a data carrier in a smart city by introducing a neural network-based sustainable data dissemination system (NESUDA), where opportunistic sensing comprises delay-tolerant data collection, processing and disseminating from one place to another place around the city. The objective was to use public transport to carry data from one place to another and to reduce the traffic from traditional networks and energy consumption. An advanced neural network (NN) algorithm was applied to locate the realistic arrival time of public buses for data allocation. We used the Auckland transport (AT) buses data set from the transport agency to validate our model for the level of accuracy in predicted bus arrival time and scheduled arrival time to disseminate data using bus services. Data were uploaded onto buses as per their dwelling time at each stop and terminals within the coverage area of deployed RSU. The offloading capacity of our proposed data dissemination system showed that it could be utilized to effectively complement traditional data networks. Moreover, the maximum offloading capacity at each parent stop could reach up to 360 GB with a huge saving of energy consumption.
Rashmi Munjal; William Liu; Xue Li; Jairo Gutierrez. A Neural Network-Based Sustainable Data Dissemination through Public Transportation for Smart Cities. Sustainability 2020, 12, 10327 .
AMA StyleRashmi Munjal, William Liu, Xue Li, Jairo Gutierrez. A Neural Network-Based Sustainable Data Dissemination through Public Transportation for Smart Cities. Sustainability. 2020; 12 (24):10327.
Chicago/Turabian StyleRashmi Munjal; William Liu; Xue Li; Jairo Gutierrez. 2020. "A Neural Network-Based Sustainable Data Dissemination through Public Transportation for Smart Cities." Sustainability 12, no. 24: 10327.
The Internet of things (IoT) has revolutionized the use of connectivity and has given birth to new transmission technologies to satisfy the requirements of diverse IoT applications. Low powered wide area networks (LPWAN) is one of those transmission technologies, and is becoming exceptionally useful for IoT applications. The nodes use energy-efficient mechanisms for long-range data transmission (10–20 km), lasting in hostile environments for years and making them suitable for IoT applications such as environmental monitoring, automated billing systems, smart homes, smart offices, and patient monitoring. However, LPWAN devices have minimal resources, which makes it challenging to provide promising security to devices and data in the network. In this paper, we discuss the security mechanisms used in current LPWAN technologies along with their vulnerabilities and possible attacks on them. A detailed literature review is conducted on existing solutions on the security of constrained IoT networks similar to LPWAN using different networking frameworks. The reviewed literature is then compared based on various network security measures addressed by them. In addition, the emergence of software defined network (SDN) architecture for security in IoT is explained based on literature. Finally, the applicability of SDN in LPWAN security, its opportunities, and challenges in implementation are discussed.
Gaurav Pathak; Jairo Gutierrez; Saeed Ur Rehman. Security in Low Powered Wide Area Networks: Opportunities for Software Defined Network-Supported Solutions. Electronics 2020, 9, 1195 .
AMA StyleGaurav Pathak, Jairo Gutierrez, Saeed Ur Rehman. Security in Low Powered Wide Area Networks: Opportunities for Software Defined Network-Supported Solutions. Electronics. 2020; 9 (8):1195.
Chicago/Turabian StyleGaurav Pathak; Jairo Gutierrez; Saeed Ur Rehman. 2020. "Security in Low Powered Wide Area Networks: Opportunities for Software Defined Network-Supported Solutions." Electronics 9, no. 8: 1195.
Small Cells (SCs) mounted on top of Unmanned Aerial Vehicles (UAVs) can be used to boost the radio capacity in hotspot zones. However, UAV-SCs are subject to tight battery constraints, resulting in frequent recharges operated at the ground sites. To meet the UAV-SCs energy demanded to the ground sites, the operator leverages a set of Solar Panels (SPs) and grid connection. In this work, we demonstrate that both i) the level of throughput provided to a set of areas and ii) the amount of energy that is exchanged with the grid by the ground sites play a critical role in such UAV-aided cellular network. We then formulate the J-MATE model to jointly optimize the energy and throughput through revenue and cost components. In addition, we design the BBSR algorithm, which is able to retrieve a solution even for large problem instances. We evaluate J-MATE and BBSR over a realistic scenario composed of dozens of areas and multiple ground sites, showing that: i) both J-MATE and BBSR outperform previous approaches targeting either the throughput maximization or the energy minimization, and ii) the computation time and the memory occupation of BBSR are reduced up to five orders of magnitude compared to J-MATE.
Luca Chiaraviglio; Fabio D'Andreagiovanni; William Liu; Jairo A. Gutierrez; Nicola Blefari-Melazzi; Kim-Kwang Raymond Choo; Mohamed-Slim Alouini. Multi-Area Throughput and Energy Optimization of UAV-Aided Cellular Networks Powered by Solar Panels and Grid. IEEE Transactions on Mobile Computing 2020, 20, 2427 -2444.
AMA StyleLuca Chiaraviglio, Fabio D'Andreagiovanni, William Liu, Jairo A. Gutierrez, Nicola Blefari-Melazzi, Kim-Kwang Raymond Choo, Mohamed-Slim Alouini. Multi-Area Throughput and Energy Optimization of UAV-Aided Cellular Networks Powered by Solar Panels and Grid. IEEE Transactions on Mobile Computing. 2020; 20 (7):2427-2444.
Chicago/Turabian StyleLuca Chiaraviglio; Fabio D'Andreagiovanni; William Liu; Jairo A. Gutierrez; Nicola Blefari-Melazzi; Kim-Kwang Raymond Choo; Mohamed-Slim Alouini. 2020. "Multi-Area Throughput and Energy Optimization of UAV-Aided Cellular Networks Powered by Solar Panels and Grid." IEEE Transactions on Mobile Computing 20, no. 7: 2427-2444.
To improve the performance of Intensive Care Units (ICUs), the field of bio-statistics has developed scores which try to predict the likelihood of negative outcomes. These help evaluate the effectiveness of treatments and clinical practice, and also help to identify patients with unexpected outcomes. However, they have been shown by several studies to offer sub-optimal performance. Alternatively, Deep Learning offers state of the art capabilities in certain prediction tasks and research suggests deep neural networks are able to outperform traditional techniques. Nevertheless, a main impediment for the adoption of Deep Learning in healthcare is its reduced interpretability, for in this field it is crucial to gain insight into the why of predictions, to assure that models are actually learning relevant features instead of spurious correlations. To address this, we propose a deep multi-scale convolutional architecture trained on the Medical Information Mart for Intensive Care III (MIMIC-III) for mortality prediction, and the use of concepts from coalitional game theory to construct visual explanations aimed to show how important these inputs are deemed by the network. Results show our model attains a ROC AUC of 0.8735 (± 0.0025) which is competitive with the state of the art of Deep Learning mortality models trained on MIMIC-III data, while remaining interpretable. Supporting code can be found at https://github.com/williamcaicedo/ISeeU.
William Caicedo-Torres; Jairo Gutierrez. ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU. Journal of Biomedical Informatics 2019, 98, 103269 .
AMA StyleWilliam Caicedo-Torres, Jairo Gutierrez. ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU. Journal of Biomedical Informatics. 2019; 98 ():103269.
Chicago/Turabian StyleWilliam Caicedo-Torres; Jairo Gutierrez. 2019. "ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU." Journal of Biomedical Informatics 98, no. : 103269.
David Airehrour; Jairo A. Gutierrez; Sayan Kumar Ray. SecTrust-RPL: A secure trust-aware RPL routing protocol for Internet of Things. Future Generation Computer Systems 2019, 93, 860 -876.
AMA StyleDavid Airehrour, Jairo A. Gutierrez, Sayan Kumar Ray. SecTrust-RPL: A secure trust-aware RPL routing protocol for Internet of Things. Future Generation Computer Systems. 2019; 93 ():860-876.
Chicago/Turabian StyleDavid Airehrour; Jairo A. Gutierrez; Sayan Kumar Ray. 2019. "SecTrust-RPL: A secure trust-aware RPL routing protocol for Internet of Things." Future Generation Computer Systems 93, no. : 860-876.
The internet of things (IoT) is expected to influence both architecture and infrastructure of current and future smart cities vision. Thus, the requirement and effectiveness of making cities smarter demands suitable provision of secure and efficient communication networks between IoT networking devices. Trust-based routing protocols play an important role in IoT for secure information exchange and communications between IoT networking elements. Thus, this chapter presents the foundation of trust-based protocols from social science to IoT for secure smart city environments. The chapter outlines and discusses the key ideas, notions, and theories that may help the reader to understand the current status and the possible future trends of trust-based protocols in IoT networks for smart cities. The chapter also discusses the implications, requirements, and future research challenges of trust-based protocols in IoT for smart cities.
Aminu Bello Usman; Jairo A. Gutierrez; Abdullahi Baffa Bichi. Secure Routing Protocols Using Trust-Based Mechanisms in the Internet of Things for Smart City Environment Challenges and Future Trends. Advances in Computer and Electrical Engineering 2019, 103 -129.
AMA StyleAminu Bello Usman, Jairo A. Gutierrez, Abdullahi Baffa Bichi. Secure Routing Protocols Using Trust-Based Mechanisms in the Internet of Things for Smart City Environment Challenges and Future Trends. Advances in Computer and Electrical Engineering. 2019; ():103-129.
Chicago/Turabian StyleAminu Bello Usman; Jairo A. Gutierrez; Abdullahi Baffa Bichi. 2019. "Secure Routing Protocols Using Trust-Based Mechanisms in the Internet of Things for Smart City Environment Challenges and Future Trends." Advances in Computer and Electrical Engineering , no. : 103-129.
The advancement in the field of information and communication technology has generated a great deal of information that was not possible to access earlier. Healthcare systems are one of the most beneficial applications using wireless medical sensor technologies, which can facilitate patient care within homes, hospitals, clinics, disaster sites, and the open environment. The integration and sharing of such information can contribute significantly to a better understanding of patients' health conditions and therefore to improving the quality of healthcare provided to them. However, in order to achieve sufficient levels of collaborative use of information among healthcare-related practitioners, there is a need to overcome a number of issues such as privacy and interoperability, among others. This chapter discusses two of the main challenges encountered before healthcare information systems can collaboratively share patients' records, namely privacy and interoperability.
Fadi Alhaddadin; Jairo A. Gutiérrez; William Liu. The Collaborative Use of Patients' Health-Related Information. Cloud Security 2019, 1713 -1733.
AMA StyleFadi Alhaddadin, Jairo A. Gutiérrez, William Liu. The Collaborative Use of Patients' Health-Related Information. Cloud Security. 2019; ():1713-1733.
Chicago/Turabian StyleFadi Alhaddadin; Jairo A. Gutiérrez; William Liu. 2019. "The Collaborative Use of Patients' Health-Related Information." Cloud Security , no. : 1713-1733.
Dengue and chikungunya are vector borne diseases endemic in tropical countries around the world, with very similar clinical presentation, which makes it hard for physicians to tell them apart. Here we propose the use of Machine Learning based classifiers to perform differential diagnosis of dengue and chikungunya in pediatric patients, using simple blood test results as predictors instead of symptoms. Three variables (platelet count, white cell count and hematocrit percentage) from 447 pediatric patients from Hospital Infantil Napoleón Franco Pareja were collected to construct a dataset, later partitioned into train and test sets using Stratified Random Sampling. Grid Search with Stratified 5-Fold Cross-Validation was conducted to assess the performance of Logistic Regression, Support Vector Machine, and CART Decision Tree classifiers. Cross-Validation results show a L2 Logistic Regression model with second degree polynomial features outperforming the other models considered, with a cross-validated Receiver Operating Characteristic Area Under the Curve (ROC AUC) score of 0.8694. Subsequent results over the test set showed a 0.8502 ROC AUC score. Despite a reduced sample and a heavily imbalanced data set, ROC AUC score results are promising and support our approach for dengue and chikungunya differential diagnosis.
William Caicedo-Torres; Ángel Paternina-Caicedo; Hernando Pinzón-Redondo; Jairo Gutiérrez. Differential Diagnosis of Dengue and Chikungunya in Colombian Children Using Machine Learning. Transactions on Petri Nets and Other Models of Concurrency XV 2018, 181 -192.
AMA StyleWilliam Caicedo-Torres, Ángel Paternina-Caicedo, Hernando Pinzón-Redondo, Jairo Gutiérrez. Differential Diagnosis of Dengue and Chikungunya in Colombian Children Using Machine Learning. Transactions on Petri Nets and Other Models of Concurrency XV. 2018; ():181-192.
Chicago/Turabian StyleWilliam Caicedo-Torres; Ángel Paternina-Caicedo; Hernando Pinzón-Redondo; Jairo Gutiérrez. 2018. "Differential Diagnosis of Dengue and Chikungunya in Colombian Children Using Machine Learning." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 181-192.
Sonia Gul; Jairo Gutierrez. Evolution of Broadband Communication Networks: Architecture and Applications. Broadband Communications Networks - Recent Advances and Lessons from Practice 2018, 1 .
AMA StyleSonia Gul, Jairo Gutierrez. Evolution of Broadband Communication Networks: Architecture and Applications. Broadband Communications Networks - Recent Advances and Lessons from Practice. 2018; ():1.
Chicago/Turabian StyleSonia Gul; Jairo Gutierrez. 2018. "Evolution of Broadband Communication Networks: Architecture and Applications." Broadband Communications Networks - Recent Advances and Lessons from Practice , no. : 1.
This work presents a proposal to implement an appliance to get information from wind variables as renewable resource in electrical energy generation. The device is supported on an Arduino application and ThingSpeak tools to obtain important mount of data for future studies of the wind resource. The implemented device is presented from the smart home concepts explained as layers of an Internet of Things approach. Results show as easily this proposition can be developed as an alternative in a smart home environment, where each house can be employed to measure its own wind renewable resources.
Jairo Fernando Gutiérrez; Alvaro David Orjuela-Cañón; Juan Mauricio Garcia. Internet of Things Proposal for Measuring Wind Variables in a Smart Home Environment. Programmieren für Ingenieure und Naturwissenschaftler 2018, 173 -182.
AMA StyleJairo Fernando Gutiérrez, Alvaro David Orjuela-Cañón, Juan Mauricio Garcia. Internet of Things Proposal for Measuring Wind Variables in a Smart Home Environment. Programmieren für Ingenieure und Naturwissenschaftler. 2018; ():173-182.
Chicago/Turabian StyleJairo Fernando Gutiérrez; Alvaro David Orjuela-Cañón; Juan Mauricio Garcia. 2018. "Internet of Things Proposal for Measuring Wind Variables in a Smart Home Environment." Programmieren für Ingenieure und Naturwissenschaftler , no. : 173-182.
In the blooming era of Pervasive and Mobile Computing, trust has been accepted as a vital factor for provisioning secure, reliable and seamless communications between pervasive computing elements. However, advancing research in the area of trust-based protocol for distributed Pervasive and Mobile Computing might be challenging due to the ambiguity of the concept of trust as well as the variety of divergent trust models, protocols and algorithms in different contexts. In this research, we augment the trust concept and definition from various field of studies and proposed models in the literature and provide general conceptual phases and methods of trust management toward-trust-based protocols, in the context of Pervasive and Mobile Computing. The paper addresses a broad range of techniques, methods, models, applications and desired futures of trust-based protocols. A number of the currently used trust-based protocols are critically reviewed, and this further leads our discussion to the security attacks and mitigation strategies used with trust-based protocols for pervasive and mobile computing. Finally, the paper discusses open research issues.
Aminu Bello Usman; Jairo Gutierrez. Toward trust based protocols in a pervasive and mobile computing environment: A survey. Ad Hoc Networks 2018, 81, 143 -159.
AMA StyleAminu Bello Usman, Jairo Gutierrez. Toward trust based protocols in a pervasive and mobile computing environment: A survey. Ad Hoc Networks. 2018; 81 ():143-159.
Chicago/Turabian StyleAminu Bello Usman; Jairo Gutierrez. 2018. "Toward trust based protocols in a pervasive and mobile computing environment: A survey." Ad Hoc Networks 81, no. : 143-159.
The Internet has evolved as a critical booster for the economic, social and technical development of human society. Almost half of the world’s population is unfortunately missing out due to the lack of access to the Internet. Such users are mainly those living in rural and low-income areas. Various strategies and approaches for improving the Internet’s accessibility are available, each with a different set of benefits, costs, and risks. It is important to choose solutions from these feasible options that promise to promote the efficiency as well as the sustainability of the ‘Internet Ecosystem’. In this paper, we propose a new model of sustainable connectivity that integrates three factors (affordability, social shareability, and geographical network coverage) that must be considered in the selection and design of Internet access solutions. In addition, we develop a hypergraph-based network graph solution that illustrates the relationship among the three factors. Then, we use Coloured Petri Nets (CPNs) to model and simulate the possible Internet access solutions and also interplay those three factors to study how they impact the overall network connectivity performance. Our initial results have revealed how sustainable Internet connectivity behaves as a function of the affordability, social interaction, and geographical network coverage and investigates how these factors could be leveraged to provide different network connectivity and Internet access solutions.
Maria Elena Villapol; William Liu; Jairo Gutierrez; Junaid Qadir; Steven Gordon; Jin Tan; Luca Chiaraviglio; Jinsong Wu; Wenjun Zhang. A Sustainable Connectivity Model of the Internet Access Technologies in Rural and Low-Income Areas. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018, 93 -102.
AMA StyleMaria Elena Villapol, William Liu, Jairo Gutierrez, Junaid Qadir, Steven Gordon, Jin Tan, Luca Chiaraviglio, Jinsong Wu, Wenjun Zhang. A Sustainable Connectivity Model of the Internet Access Technologies in Rural and Low-Income Areas. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 2018; ():93-102.
Chicago/Turabian StyleMaria Elena Villapol; William Liu; Jairo Gutierrez; Junaid Qadir; Steven Gordon; Jin Tan; Luca Chiaraviglio; Jinsong Wu; Wenjun Zhang. 2018. "A Sustainable Connectivity Model of the Internet Access Technologies in Rural and Low-Income Areas." Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering , no. : 93-102.
This paper considers the problem of fault identification in dynamic topology networks using the time-free comparison model. Here, we introduce an efficient self-diagnosis protocol that can identify faulty nodes in dynamic networks. This protocol can correctly diagnose various fault types including permanent, dynamic, and soft faults. The protocol consists of a testing stage and a disseminating stage. During the testing stage, each node identifies the state of a part of nodes using the time-free comparison model. Afterward, nodes share their views employing a random linear network coding (RLNC) technique in the disseminating stage. The design of the disseminating stage is crucial for diagnosis efficiency. Using RLNC obviates the need for disseminating the views individually, and hence it reduces the number of messages required to diagnose the network. The OMNeT++ simulation has been used to evaluate the performance of the proposed protocol regarding the communication complexity. Results show that the proposed protocol is robust, scalable and energy-efficient.
Hazim Jarrah; Peter H. J. Chong; Nurul I. Sarkar; Jairo Gutierrez. Efficient Fault Identification Protocol for Dynamic Topology Networks Using Network Coding. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018, 230 -239.
AMA StyleHazim Jarrah, Peter H. J. Chong, Nurul I. Sarkar, Jairo Gutierrez. Efficient Fault Identification Protocol for Dynamic Topology Networks Using Network Coding. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 2018; ():230-239.
Chicago/Turabian StyleHazim Jarrah; Peter H. J. Chong; Nurul I. Sarkar; Jairo Gutierrez. 2018. "Efficient Fault Identification Protocol for Dynamic Topology Networks Using Network Coding." Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering , no. : 230-239.
This paper discusses a number of issues associated with the increasing need to improve the utilization of unlicensed spectrum as a number of new technological advances provide an opportunity to share scarce resources in a dynamic fashion in the future 5G networks. The growth in connected devices via cellular and Wi-Fi networks is being complemented with a significant increase in networked “things” and this proliferation of devices presents a challenge to Spectrum Authorities. We propose that the ultimate purpose of Dynamic Spectrum Management (DSM) is to improve spectrum usage efficiency by fully exploiting spectrum sharing while assuring minimum undesired interference. Our aim is the identification of economic issues that impact the development of efficient markets for 5G networks that rely on dynamic spectrum technologies in the unlicensed spectrum. The paper covers how technological breakthroughs in spectrum access technologies challenge our current understanding of spectrum management. In each case, the contribution of the paper includes policy proposals or more focused regulatory instruments while the concluding section sums up the paper’s key message about the interplay between technology and policy that helps lay out elements that regulators and policy-makers need to attend to when adopting practices that implement Dynamic Spectrum Management in the unlicensed spectrum.
Fernando Beltrán; Sayan Kumar Ray; Jairo Gutiérrez. Dynamic Spectrum Management in 5G: Lessons from Technological Breakthroughs in Unlicensed Bands Use. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018, 250 -259.
AMA StyleFernando Beltrán, Sayan Kumar Ray, Jairo Gutiérrez. Dynamic Spectrum Management in 5G: Lessons from Technological Breakthroughs in Unlicensed Bands Use. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 2018; ():250-259.
Chicago/Turabian StyleFernando Beltrán; Sayan Kumar Ray; Jairo Gutiérrez. 2018. "Dynamic Spectrum Management in 5G: Lessons from Technological Breakthroughs in Unlicensed Bands Use." Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering , no. : 250-259.
Worldwide spending on long-term and chronic care conditions is increasing to a point that requires immediate interventions and advancements to reduce the burden of the healthcare cost. This research is focused on early detection of prediabetes and type 2 diabetes mellitus (T2DM) using wearable technology. An artificial intelligence model was developed based on adaptive-neuro fuzzy interference to detect prediabetes and T2DM via individualized monitoring. The key contributing factors to the proposed model include heart rate, heart rate variability, breathing rate, breathing volume, and activity data (steps, cadence and calories). The data was collected using an advanced wearable body vest. The real-time data was combined with manual recordings of blood glucose, height, weight, age and sex. The model analyzed the data alongside a clinical knowledge-base. Fuzzy rules were used to establish baseline values via existing interventions, clinical guidelines and protocols. The proposed model was tested and validated using Kappa analysis and achieved an overall agreement of 91%.
Mirza Baig; Farhaan Mirza; Hamid GholamHosseini; Jairo Gutierrez; Ehsan Ullah. Clinical Decision Support for Early Detection of Prediabetes and Type 2 Diabetes Mellitus Using Wearable Technology. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2018, 2018, 4456 -4459.
AMA StyleMirza Baig, Farhaan Mirza, Hamid GholamHosseini, Jairo Gutierrez, Ehsan Ullah. Clinical Decision Support for Early Detection of Prediabetes and Type 2 Diabetes Mellitus Using Wearable Technology. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). 2018; 2018 ():4456-4459.
Chicago/Turabian StyleMirza Baig; Farhaan Mirza; Hamid GholamHosseini; Jairo Gutierrez; Ehsan Ullah. 2018. "Clinical Decision Support for Early Detection of Prediabetes and Type 2 Diabetes Mellitus Using Wearable Technology." 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2018, no. : 4456-4459.
The assistive devices for people with disabilities are configured as a set of mechanical, electromechanical, orthotic and prosthetic parts designed to assist in the rehabilitation process of patients who suffered amputation of their lower limbs, whether the injury generates The implementation of a transtibial or transfemoral prosthesis these elements must be performed with proper analysis of pre-amputation, amputation and post amputation in order to achieve specific objectives for each patient, achieving the best possible treatment. It is important to ensure that in the treatment of lower limb disability by amputation, the best decisions are generated for the patient, with the objective of bringing the patient closer to a normal gait pattern. Considering these characteristics it will be possible to elaborate a prosthetic element that meets the physical and personal characteristics of the patient such as activity level, age, weight ... etc. Taking into account each of these variables we have decided to analyze in depth a crucial element in the implementation of lower limb prosthesis such as the foot, which we carry from a phase of analysis, design, to implementation in carbon fiber where we currently perform tests with our patients under study.
Jhonn Alexander Hernandez Martin; Luis Parra Piñero; César Pinzón Pinzón; Oscar Bejarano Peña; Jairo Romero Gutiérrez; Pedro García Benavides. Analysis and construction of a prosthetic foot. I+D Tecnológico 2018, 14, 76 -82.
AMA StyleJhonn Alexander Hernandez Martin, Luis Parra Piñero, César Pinzón Pinzón, Oscar Bejarano Peña, Jairo Romero Gutiérrez, Pedro García Benavides. Analysis and construction of a prosthetic foot. I+D Tecnológico. 2018; 14 (1):76-82.
Chicago/Turabian StyleJhonn Alexander Hernandez Martin; Luis Parra Piñero; César Pinzón Pinzón; Oscar Bejarano Peña; Jairo Romero Gutiérrez; Pedro García Benavides. 2018. "Analysis and construction of a prosthetic foot." I+D Tecnológico 14, no. 1: 76-82.
In the context of Intermittently Connected Mobile Networks, researchers have proposed different collaborative routing schemes with fundamental objectives to maximize packets delivery, and minimise latency through improving peers’ routing decisions. One promising approach adopted by researchers to improve peers’ routing decisions is a trust-based routing mechanism. Most current trust-based protocols in the literature enable peers to make routing decisions based on trust relationships that manifest among peers but with less concern about the peers’ attributes. This further made the design of efficient, collaborative routing protocols a challenging task due to the high dynamics of peers’ characteristics and mobility. In this paper, we hypothesise that in a trust-based routing protocol, it will be additional trust evaluation reliability if peers can take into consideration their partners attributes’ status in addition to the trust relationships. We propose DATM protocol; a trust-based scheme to enforce collaborative behaviour in wireless mobile networks taking into consideration the peers’ attributes for an efficient routing scheme. We introduce a personalised similarity algorithm for peers’ attributes modelling as a scaling factor for trust evaluation. The relative comparison of the DATM and PROPHET protocol using simulation shows the improved performance of our proposed model in terms of messages delivery, messages overhead and average latency.
Aminu Bello Usman; Jairo Gutierrez. DATM: a dynamic attribute trust model for efficient collaborative routing. Annals of Operations Research 2018, 277, 293 -310.
AMA StyleAminu Bello Usman, Jairo Gutierrez. DATM: a dynamic attribute trust model for efficient collaborative routing. Annals of Operations Research. 2018; 277 (2):293-310.
Chicago/Turabian StyleAminu Bello Usman; Jairo Gutierrez. 2018. "DATM: a dynamic attribute trust model for efficient collaborative routing." Annals of Operations Research 277, no. 2: 293-310.
The routing protocol for low-power and lossy networks (RPL) has gained prominence as the standard IoT routing protocol. However, it faces like many other routing protocols diverse attacks. Many studies have been proposed to secure the RPL protocol, and simulation studies have been put forward as the main research method, while testbed experiments, though an authentic research and testing method, have been ignored. Although testbed experiments and simulation studies have their strengths and limitations, testbed techniques could be used as a verifiable validation method for simulation studies. This study is a follow up research work to validate our simulation study, which addressed Blackhole attacks in the RPL routing protocol. In addition, Selective Forwarding attacks are also addressed. It implements a testbed while embedding our Trust-based RPL protocol and the standard RPL protocol in a smart environment configuration. Based on the test experiments, we provide a proof-of-concept of the validity of our claim that our Trust-based RPL protocol provides a comprehensive defence (simulation and testbed) against Blackhole and Selective Forwarding attacks.
David Airehrour; Jairo Guttierrez; Sayan Kumar Ray. A Trust-based Defence Scheme for Mitigating Blackhole and Selective Forwarding Attacks in the RPL Routing Protocol. Journal of Telecommunications and the Digital Economy 2018, 6, 41 -59.
AMA StyleDavid Airehrour, Jairo Guttierrez, Sayan Kumar Ray. A Trust-based Defence Scheme for Mitigating Blackhole and Selective Forwarding Attacks in the RPL Routing Protocol. Journal of Telecommunications and the Digital Economy. 2018; 6 (1):41-59.
Chicago/Turabian StyleDavid Airehrour; Jairo Guttierrez; Sayan Kumar Ray. 2018. "A Trust-based Defence Scheme for Mitigating Blackhole and Selective Forwarding Attacks in the RPL Routing Protocol." Journal of Telecommunications and the Digital Economy 6, no. 1: 41-59.
The digital divide refers to the gap between those who have access to modern information and communications technology (ICT) and those who do not or have constrained access. This technology could include telephones, television, computers and the Internet. The arrival of high-speed Internet connectivity to the Kingdom of Tonga continues to bring opportunities such as business growth and jobs creation; however, there is also a growing digital divide affecting the country and other regions of the world. These motivate us to debate and seek the best way to reduce the divide in Tonga. Much of the research on this area focuses on the accessibility to the technologies, while some works have addressed the inequality in the ability and skills to use the technology. Motivated by the United Nations' sustainable development goals (SDGs), especially Goal 9 on Industry, Innovation and Infrastructure and Goal 10 on Reduced Inequalities, we examine both perspectives of digital divide in Tonga. Moreover, we introduce the most recent broadband technologies and discuss their potential to enable Tonga's digital transformation from the perspectives of reliability, security and affordability. We then envision a sustainable multi-tenancy broadband infrastructure to integrate various access technologies in order to offer multi-services, which can best accommodate Tongan's various ICT needs according to their different geographical and socio-economic characteristics. This paper intends to contribute to the current debate, and stimulate further discussion and research on reducing the digital divide in Tonga.
Paula Palavilala Latapu; Raymond Lutui; Saia Vaipuna; Keith Moala; Samiu Fonua; William Liu; Jairo A. Gutierrez; Jian Song; Luca Chiaraviglio; Jinsong Wu; Antoine Bagula. Bridging the digital divide in Tonga through a sustainable multi-tenancy broadband infrastructure: Are we ready? 2018 IEEE International Conference on Environmental Engineering (EE) 2018, 1 -6.
AMA StylePaula Palavilala Latapu, Raymond Lutui, Saia Vaipuna, Keith Moala, Samiu Fonua, William Liu, Jairo A. Gutierrez, Jian Song, Luca Chiaraviglio, Jinsong Wu, Antoine Bagula. Bridging the digital divide in Tonga through a sustainable multi-tenancy broadband infrastructure: Are we ready? 2018 IEEE International Conference on Environmental Engineering (EE). 2018; ():1-6.
Chicago/Turabian StylePaula Palavilala Latapu; Raymond Lutui; Saia Vaipuna; Keith Moala; Samiu Fonua; William Liu; Jairo A. Gutierrez; Jian Song; Luca Chiaraviglio; Jinsong Wu; Antoine Bagula. 2018. "Bridging the digital divide in Tonga through a sustainable multi-tenancy broadband infrastructure: Are we ready?" 2018 IEEE International Conference on Environmental Engineering (EE) , no. : 1-6.
In this chapter, the authors hypothesize that in the design of a trust-based routing protocol, the exploration of the peers' routing attributes could significantly improve trust evaluation accuracy. In this regard, they study the properties of complex networks and their impact on trust and reputation propagation and evaluation. They start by illustrating the structural transitivity in the network and its approximation. They then proceed to present the theoretical and analytical relationship between trust and reputation model accuracy, average structural transitivity between peers, average shortest path between peers, and energy consumed by peers for trust and reputation propagation and evaluations. The experimental studies using simulation have further supported the results of the analytical study. In this chapter, the authors are paving a new angle of research on exploring the complex network properties impact on trust and reputation evaluation between wireless peers.
Aminu Bello Usman; Jairo Gutierrez. Trust-Based Analytical Models for Secure Wireless Sensor Networks. Handbook of Research on Advancing Cybersecurity for Digital Transformation 2018, 47 -65.
AMA StyleAminu Bello Usman, Jairo Gutierrez. Trust-Based Analytical Models for Secure Wireless Sensor Networks. Handbook of Research on Advancing Cybersecurity for Digital Transformation. 2018; ():47-65.
Chicago/Turabian StyleAminu Bello Usman; Jairo Gutierrez. 2018. "Trust-Based Analytical Models for Secure Wireless Sensor Networks." Handbook of Research on Advancing Cybersecurity for Digital Transformation , no. : 47-65.