Table 1.
Proposals related to similar technologies and platforms.
| Bibliografy | Technologies Included | Advantages and Disadvantages | Novelty of the Proposal |
|---|---|---|---|
| Heras, Stella, et al. (2012) | This work is focused on the use of multi-agent systems and cloud computing, so our platform provides additional functionality. | It presents the role of argumentation in the next generation of agreement technologies and their use in cloud computing environments. | |
| Shawish, Ahmed, and Maria Salama. (2014) | Cloud computing, Distributed systems, Multi-agent systems, Virtual organisations Social Computing | It classifies the Cloud’s deployment and service models, providing a complete description of the Cloud services vendors. | It provides a comprehensive overview of the Cloud’s anatomy, definition, characteristic, effects, architecture, and core technology. |
| Chamoso, Pablo, et al. (2019) | Improves interaction between users and ensures a fast and secure operation. | A multi-agent system is the base of the developed software; MAS is an essential and commonly used tool in social computing. | |
| Chamoso, Pablo, et al. (2016) | The system provides a web application to manage all the review processes for power lines management. | This work is focused on the periodic review of transmission towers (TT) to avoid important risks, such as step and touch potentials, for humans. | |
| Riverola, Florentino Fdez, et al. (2000) | Hybrid neuro-symbolic systems, Case-based reasoning (CBR), Artificial Neural Networks (NN) Agent Virtual organisation, Deep Learning | Classifications of these systems, paying particular attention to each subsystem’s distinctive features that make up the hybrid models. | This work is a general review of hybrid neuro-symbolic artificial intelligence systems, focusing on those composed of artificial intelligence. |
| Van Den Oord, Aäron, et al. (2013) | Deep content-based focus on music. | This work is aimed at a platform based on music recommendation through deep learning. | |
| Chen, Zhen-Yao, et al. (2017) | A hybrid of genetic algorithm and artificial immune system (HGAI) algorithm. | Evolutionary algorithm-based radial basis function neural network training for industrial personal computer sales forecasting. | |
| Puig Ramírez, Joaquim. (2010) | The reliable detection and anticipation of performance deviations via monitoring the production and product-related process, diagnostic of possible causes and predicting the time of occurrence. | Asset optimisation and predictive maintenance in discrete manufacturing industry. | |
| Mobley, R. Keith. (2002) | Predictive maintenance, Machine Train Monitoring, Industrial organisation, Production control, Supervision | The system provides maintenance methods in manufacturing or production plans. | It is a review of the methods and methodologies for carrying out predictive maintenance in industries. |
| Sittón, Inés, et al. (2017) | It is aimed at the recognition and extraction of unstructured data patterns from IoT sensors. | Pattern extraction for the design of predictive models in Industry 4.0 | |
| Shin, D. et al. (2016) | Use of edge computing, followed by several case studies, ranging from cloud offloading to smart home and city. | It presents several challenges and opportunities in the field of edge computing. | |
| Shi, Weisong and Schahram Dustdar. (2016) | Edge computing, Real-time monitoring, Internet of Things (IoT), Protective System Smart cities and home | The success of the Internet of Things and rich cloud services have helped create edge computing. | This work is aimed at understanding edge computing technology and its multitude of applications to propose environments capable of processing information at the device level. |
| Satyanarayanan, Mahadev. (2017) | Industry investment and research interest in edge computing. | It presents several research and opportunities in the field of edge computing. | |
| Bibliography | Technologies Included | Advantages and Disadvantages | Novelty of the Proposal |
| Sánchez, Sergio Márquez, et al. (2020) | The paper is before work that is supported by the current platform work based on ROS. | This work is based on edge computing Driven Smart Personal Protective System Deployed on NVIDIA Jetson and Integrated with ROS. | |
| Sun, Xiang, and Nirwan Ansari. (2016) | A hierarchical fog computing architecture in each fog node to provide flexible IoT services while maintaining user privacy. | Mobile edge computing for the Internet of Things. | |
| Podgorski, Daniel, et al. (2017) | A new conceptual framework for dynamic Occupational Safety and Health (OSH) management in Smart Working Environments (SWE) | A proposed framework is based on a new paradigm of OSH risk management consisting of real-time risk assessment and the capacity to monitor the risk level of each worker individually. | |
| Boyes, Hugh, et al. (2018) | Ambient intelligence (AI), Industrial Internet of Things (IIoT), Smart working environment (SWE), Occupational safety management, Personal Protective Equipment (PPE), Cyber-physical systems, Real-time risk assessment, | It is focused on analyses related to partial IoT taxonomies. | It develops an analysis framework for IIoT that can be used to enumerate and characterise IIoT devices. |
| Sánchez, Sergio Márquez, (2019) | They seek to improve the health and safety of work sectors where there is a high risk of an accident. | Solutions made available by industry 4.0 to prevent hazards with a wireless model consists of the design of different innovative PPE. | |
| Chae, Hye Seon, et al. (2017) | Smart personal protection equipment uses various biometric information from the combination of devices to allow the wearer to voluntarily recognize the danger | The research and development of the rural smart personalisation equipment for preventing farming and disaster prevention |