Capítols de llibre
http://hdl.handle.net/2117/349223
2024-03-28T10:13:37ZIn-person school reopening and the spread of SARS-CoV-2 during the second wave in Spain
http://hdl.handle.net/2117/396670
In-person school reopening and the spread of SARS-CoV-2 during the second wave in Spain
Fonseca Casas, Pau
2023-11-20T10:21:05ZFonseca Casas, PauIncentives in surplus food distribution for smart cities and beyond: an activity aware solution
http://hdl.handle.net/2117/388457
Incentives in surplus food distribution for smart cities and beyond: an activity aware solution
Sanyal, Surja; Mukhopadhyay, Sajal; Xhafa Xhafa, Fatos; Kumar Singh, Vikash; Sanyal, Banhi
Food surplus donation has emerged as a popular means to counter the food wastage issue that the world has been facing in recent years. The fact that this also addresses the food insecurity challenge is an added bonus. The matching of the surplus donors with the receivers needs the constant availability of willing volunteers to make this movement a success. An incentive module attracts volunteer participation and ensures their constant availability for the smooth movement of surplus food. While the existing incentive mechanism gets the attention of the volunteers, it fails to account for the degree of activity of the volunteers. This work modifies the incentive scheme to ensure that the activities of the volunteers are taken into consideration. The proposed mechanism manages to discourage inactivity with lower incentives and promote proactivity with higher incentives while disbursing the same total incentive amount taking all volunteers together
2023-06-09T12:20:51ZSanyal, SurjaMukhopadhyay, SajalXhafa Xhafa, FatosKumar Singh, VikashSanyal, BanhiFood surplus donation has emerged as a popular means to counter the food wastage issue that the world has been facing in recent years. The fact that this also addresses the food insecurity challenge is an added bonus. The matching of the surplus donors with the receivers needs the constant availability of willing volunteers to make this movement a success. An incentive module attracts volunteer participation and ensures their constant availability for the smooth movement of surplus food. While the existing incentive mechanism gets the attention of the volunteers, it fails to account for the degree of activity of the volunteers. This work modifies the incentive scheme to ensure that the activities of the volunteers are taken into consideration. The proposed mechanism manages to discourage inactivity with lower incentives and promote proactivity with higher incentives while disbursing the same total incentive amount taking all volunteers togetherAn overview of optimization and resolution methods in satellite scheduling and spacecraft operation: description, modeling, and application
http://hdl.handle.net/2117/372908
An overview of optimization and resolution methods in satellite scheduling and spacecraft operation: description, modeling, and application
Ip, Andrew; Xhafa Xhafa, Fatos; Dong, Jingyi; Gao, Ming
With the popularization of satellite technology and the normal development of satellite use, the number of mission planning and operation of satellites has increased significantly, including large and intelligent satellites, as well as small and low-cost satellites. With the large-scale use of satellites, people’s demand for scheduling systems has become more urgent. The intelligent scheduling system can automatically and optimally process the satellite task planning, and assign the task to the space task through the ground station service. Satellite communication task scheduling is an essential part of the satellite communication system. This book chapter aims to summarize the research status of the satellite scheduling problem, analyze its important variants, mathematical formulas, problem models, and coping strategies, modeling it as a time window scheduling problem, and investigate its multiobjective. The time window problem is highly computationally complex and highly restricted, and different task requirements may lead to conflicts between the accessibility and visibility of windows, resulting in goal conflicts. Here, we consider the difficulty of its optimality, heuristic, and meta-heuristic methods (local search and population-based) to solve the problem. To verify and evaluate the performance of the analytical model, we cite the simulation tool satellite tool kit to provide some testing and experiments. Moreover, in recent years, various scholars have studied satellite scheduling and spacecraft-related issues such as Internet Satellites and put forward many models and research strategies. We summarize these models and strategies and obtain different applications with optimization formulations which can be used in spacecraft operation, design, and satellite deployment systems
2022-09-16T11:56:08ZIp, AndrewXhafa Xhafa, FatosDong, JingyiGao, MingWith the popularization of satellite technology and the normal development of satellite use, the number of mission planning and operation of satellites has increased significantly, including large and intelligent satellites, as well as small and low-cost satellites. With the large-scale use of satellites, people’s demand for scheduling systems has become more urgent. The intelligent scheduling system can automatically and optimally process the satellite task planning, and assign the task to the space task through the ground station service. Satellite communication task scheduling is an essential part of the satellite communication system. This book chapter aims to summarize the research status of the satellite scheduling problem, analyze its important variants, mathematical formulas, problem models, and coping strategies, modeling it as a time window scheduling problem, and investigate its multiobjective. The time window problem is highly computationally complex and highly restricted, and different task requirements may lead to conflicts between the accessibility and visibility of windows, resulting in goal conflicts. Here, we consider the difficulty of its optimality, heuristic, and meta-heuristic methods (local search and population-based) to solve the problem. To verify and evaluate the performance of the analytical model, we cite the simulation tool satellite tool kit to provide some testing and experiments. Moreover, in recent years, various scholars have studied satellite scheduling and spacecraft-related issues such as Internet Satellites and put forward many models and research strategies. We summarize these models and strategies and obtain different applications with optimization formulations which can be used in spacecraft operation, design, and satellite deployment systemsÁreas de aplicación de big data e inteligencia de negocios
http://hdl.handle.net/2117/369764
Áreas de aplicación de big data e inteligencia de negocios
Granados Pemberty, Elizabeth; Chaguendo Benavides, Juan Manuel
Big data, es una tecnología que se refiere a grandes conjuntos de datos complejos tanto estructurados como no estructurados, que los sistemas de procesamiento convencionales no pueden gestionar. Por otro lado, la inteligencia de negocios busca apoyar el proceso de la toma de decisiones a través de la extracción de conocimiento de los datos almacenados. Estas dos áreas del conocimiento están siendo muy importantes para la solución de problemas que se presentan en diferentes contextos del conocimiento en donde tengan como insumo los datos y/o se busque obtener información relevante para la toma de decisiones.
2022-07-07T09:54:32ZGranados Pemberty, ElizabethChaguendo Benavides, Juan ManuelBig data, es una tecnología que se refiere a grandes conjuntos de datos complejos tanto estructurados como no estructurados, que los sistemas de procesamiento convencionales no pueden gestionar. Por otro lado, la inteligencia de negocios busca apoyar el proceso de la toma de decisiones a través de la extracción de conocimiento de los datos almacenados. Estas dos áreas del conocimiento están siendo muy importantes para la solución de problemas que se presentan en diferentes contextos del conocimiento en donde tengan como insumo los datos y/o se busque obtener información relevante para la toma de decisiones.A Research roadmap for IoT monitoring and computational modelling for next generation agriculture
http://hdl.handle.net/2117/349226
A Research roadmap for IoT monitoring and computational modelling for next generation agriculture
Krause, Paul; Xhafa Xhafa, Fatos
: In this final chapter, we outline a vision for a technological revolution in agriculture that would work to regain a sense of balance between food production and natural ecosystems. We promote an ecological engineering approach to crop production that draws on experience from the organic and conservation agriculture movements. However, we expand on this by promoting in addition:
1. An Internet of Things enabled biomonitoring system that enables key (above and below ground) environmental indicators to be automatically
monitored across an agricultural unit.
2. A combination of network and thermodynamic ecosystem modelling approaches to enable a deep understanding of the response of ecosystem service functioning to changes in biodiversity, and the abiotic context, in any given agroecosystem.
We also call for an explicit recognition of the “ethnosphere” (the sphere of human social and cultural experience) as a fifth geosphere which emerged from the biosphere, and the other three geospheres, and whose continued existence is therefore contingent on the health and stability of the other four geospheres.
2021-07-14T07:23:17ZKrause, PaulXhafa Xhafa, Fatos: In this final chapter, we outline a vision for a technological revolution in agriculture that would work to regain a sense of balance between food production and natural ecosystems. We promote an ecological engineering approach to crop production that draws on experience from the organic and conservation agriculture movements. However, we expand on this by promoting in addition:
1. An Internet of Things enabled biomonitoring system that enables key (above and below ground) environmental indicators to be automatically
monitored across an agricultural unit.
2. A combination of network and thermodynamic ecosystem modelling approaches to enable a deep understanding of the response of ecosystem service functioning to changes in biodiversity, and the abiotic context, in any given agroecosystem.
We also call for an explicit recognition of the “ethnosphere” (the sphere of human social and cultural experience) as a fifth geosphere which emerged from the biosphere, and the other three geospheres, and whose continued existence is therefore contingent on the health and stability of the other four geospheres.An IoT-based time constrained spectrum trading in wireless communication for tertiary market
http://hdl.handle.net/2117/349225
An IoT-based time constrained spectrum trading in wireless communication for tertiary market
Chowdhury, Anil Bikash; Kumar Singh, Vikash; Xhafa Xhafa, Fatos; Krause, Paul; Mukhopadhyay, Sajal; Dhananjaya, Meghana M.
In this chapter, we study some research issues from IoT-based spectrum trading in Wireless Communication in a strategic setting. We consider the scenario in which there are multiple secondary users (such as non-governmental organizations (NGOs), institutional organizations, foundations, etc.) having available unutilized spectrum and multiple tertiary users (such as small farms, agricultural enterprises or people residing in different localities). Tertiary users provide preferences over the subset of all the available secondary users (NGOs, hereafter). Based on their preference ordering, the tertiary users are allocated the best possible NGOs among the available ones and under the restrictions that each user is assigned to at most one NGO. However, it is to be noted that, in this model, the allocated spectrum might not be available through out a long period of time but rather for a short duration of time within a time period. Therefore, tertiary users have to be able to work
2021-07-14T07:12:06ZChowdhury, Anil BikashKumar Singh, VikashXhafa Xhafa, FatosKrause, PaulMukhopadhyay, SajalDhananjaya, Meghana M.In this chapter, we study some research issues from IoT-based spectrum trading in Wireless Communication in a strategic setting. We consider the scenario in which there are multiple secondary users (such as non-governmental organizations (NGOs), institutional organizations, foundations, etc.) having available unutilized spectrum and multiple tertiary users (such as small farms, agricultural enterprises or people residing in different localities). Tertiary users provide preferences over the subset of all the available secondary users (NGOs, hereafter). Based on their preference ordering, the tertiary users are allocated the best possible NGOs among the available ones and under the restrictions that each user is assigned to at most one NGO. However, it is to be noted that, in this model, the allocated spectrum might not be available through out a long period of time but rather for a short duration of time within a time period. Therefore, tertiary users have to be able to workIoT-Based computational modeling for next generation agro-ecosystems: research issues, emerging trends and challenges
http://hdl.handle.net/2117/349222
IoT-Based computational modeling for next generation agro-ecosystems: research issues, emerging trends and challenges
Xhafa Xhafa, Fatos; Krause, Paul
In this introductory chapter we highlight some fundamental concepts, architectures and definitions related to IoT-based Computational Modeling for Next Generation Agro-ecosystems. We distinguish and discus the paradigms of Cloud-tothing Continuum as a large digital ecosystem comprising IoT, Edge, Fog, and Cloud Computing, data cycles from data gathering, processing and analysis to knowledge generation and decision making. Machine learning and stream processing, optimization, simulation frameworks, symbiotic modeling and the digital twin as well
as emerging research trends, ethics and health & safety issues are also introduced and discussed. Challenges arising from processing and analyzing large and heterogeneous data sets are pointed out with some examples of killer applications from Agriculture 4.0. These concepts, models, technologies, frameworks and benchmarks are covered in the chapters of the book and exemplified with real life use cases and
applications. In all, Cloud-to-thing continuum and IoT as part of it are envisaged as game changers for Computational Modeling of Next Generation Agro-ecosystems
2021-07-14T07:04:50ZXhafa Xhafa, FatosKrause, PaulIn this introductory chapter we highlight some fundamental concepts, architectures and definitions related to IoT-based Computational Modeling for Next Generation Agro-ecosystems. We distinguish and discus the paradigms of Cloud-tothing Continuum as a large digital ecosystem comprising IoT, Edge, Fog, and Cloud Computing, data cycles from data gathering, processing and analysis to knowledge generation and decision making. Machine learning and stream processing, optimization, simulation frameworks, symbiotic modeling and the digital twin as well
as emerging research trends, ethics and health & safety issues are also introduced and discussed. Challenges arising from processing and analyzing large and heterogeneous data sets are pointed out with some examples of killer applications from Agriculture 4.0. These concepts, models, technologies, frameworks and benchmarks are covered in the chapters of the book and exemplified with real life use cases and
applications. In all, Cloud-to-thing continuum and IoT as part of it are envisaged as game changers for Computational Modeling of Next Generation Agro-ecosystemsA quality-assuring, combinatorial auction based mechanism for IoT-based crowdsourcing
http://hdl.handle.net/2117/180698
A quality-assuring, combinatorial auction based mechanism for IoT-based crowdsourcing
Kumar Singh, Vikash; Mukhopadhyay, Sajal; Xhafa Xhafa, Fatos; Krause, Paul
In this chapter, we study some research issues from IoT-based crowdsourcing in a strategic setting. We have considered the scenario in IoT-based crowdsourcing, where there are multiple task requesters and multiple IoT devices as task executors. Each task requester has multiple tasks, with the tasks having start and finish times. Based on the start and finish times, the tasks are to be distributed into different slots. On the other hand, in each slot, each IoT device requests for the set of tasks that it wants to execute along with the valuation that it will charge in exchange for its service. Both the requested set of tasks and the valuations are private informations. Given such scenario, the objective is to allocate the subset of IoT devices to the tasks in a non-conflicting manner with the objective of maximizing the social welfare. For the purpose of determining the unknown quality of the IoT devices we have utilized the concept of peer grading. Therefore, we have designed a truthful mechanism for the problem under investigation that also allows us to have the true information about the quality of the IoT devices.
2020-03-20T10:28:39ZKumar Singh, VikashMukhopadhyay, SajalXhafa Xhafa, FatosKrause, PaulIn this chapter, we study some research issues from IoT-based crowdsourcing in a strategic setting. We have considered the scenario in IoT-based crowdsourcing, where there are multiple task requesters and multiple IoT devices as task executors. Each task requester has multiple tasks, with the tasks having start and finish times. Based on the start and finish times, the tasks are to be distributed into different slots. On the other hand, in each slot, each IoT device requests for the set of tasks that it wants to execute along with the valuation that it will charge in exchange for its service. Both the requested set of tasks and the valuations are private informations. Given such scenario, the objective is to allocate the subset of IoT devices to the tasks in a non-conflicting manner with the objective of maximizing the social welfare. For the purpose of determining the unknown quality of the IoT devices we have utilized the concept of peer grading. Therefore, we have designed a truthful mechanism for the problem under investigation that also allows us to have the true information about the quality of the IoT devices.The vision of Edges of Internet as a computing fabric
http://hdl.handle.net/2117/180690
The vision of Edges of Internet as a computing fabric
Xhafa Xhafa, Fatos
Edge computing has emerged as a major disrupting technology after Cloud computing to fill in the computational and infrastructural gaps in IoT and Mobile Cloud computing. Indeed, IoT and Mobile Cloud computing are based on rather direct connection of devices to Cloud servers and data centers, such as through gateways, and are not able, due to round trip time, to cope with demanding requirements of real-time applications for low latency, critical decision making, increased security, support to mobility, etc. The aim of computing at Edges of Internet is to alleviate the burden of IoT data stream processing to the Cloud computing by pushing part of the computations, storage, reasoning and intelligence to the Edges of the Internet, close to where data is generated and to end-users. In this introductory chapter we discuss the vision of Edges of Internet as a computing fabric to support real-time applications, high performance computing, big data and big data stream processing at large scale. The ever growing number of compute nodes (from small to large), of fast connectivity (supported by 5G technologies) and of data storage (mini/nano data centers) provide the basis to achieve the vision of computing fabric. The challenges of achieving such vision due to a number of complexities are also discussed.
2020-03-20T10:19:24ZXhafa Xhafa, FatosEdge computing has emerged as a major disrupting technology after Cloud computing to fill in the computational and infrastructural gaps in IoT and Mobile Cloud computing. Indeed, IoT and Mobile Cloud computing are based on rather direct connection of devices to Cloud servers and data centers, such as through gateways, and are not able, due to round trip time, to cope with demanding requirements of real-time applications for low latency, critical decision making, increased security, support to mobility, etc. The aim of computing at Edges of Internet is to alleviate the burden of IoT data stream processing to the Cloud computing by pushing part of the computations, storage, reasoning and intelligence to the Edges of the Internet, close to where data is generated and to end-users. In this introductory chapter we discuss the vision of Edges of Internet as a computing fabric to support real-time applications, high performance computing, big data and big data stream processing at large scale. The ever growing number of compute nodes (from small to large), of fast connectivity (supported by 5G technologies) and of data storage (mini/nano data centers) provide the basis to achieve the vision of computing fabric. The challenges of achieving such vision due to a number of complexities are also discussed.