2022
Authors
Paladini, J; Schlemmer, E;
Publication
Revista Diálogos em Educação Matemática
Abstract
2022
Authors
Zeynivand, A; Javadpour, A; Bolouki, S; Sangaiah, AK; Jafari, F; Pinto, P; Zhang, W;
Publication
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
Abstract
One of the technologies based on information technology used today is the VANET network used for inter-road communication. Today, many developed countries use this technology to optimize travel times, queue lengths, number of vehicle stops, and overall traffic network efficiency. In this research, we investigate the critical and necessary factors to increase the quality of VANET networks. This paper focuses on increasing the quality of service using multi-agent learning methods. The innovation of this study is using artificial intelligence to improve the network's quality of service, which uses a mechanism and algorithm to find the optimal behavior of agents in the VANET. The result indicates that the proposed method is more optimal in the evaluation criteria of packet delivery ratio (PDR), transaction success rate, phase duration, and queue length than the previous ones. According to the evaluation criteria, TSR 6.342%, PDR 9.105%, QL 7.143%, and PD 6.783% are more efficient than previous works.
2022
Authors
Baquero, C;
Publication
COMMUNICATIONS OF THE ACM
Abstract
2022
Authors
Grilo, R; Moreira, AC;
Publication
International Journal of Innovation Studies
Abstract
This paper aims to contribute to the conceptual debate on the connection between social innovation and social entrepreneurship, considering the role of the ‘social’ within this connection. Supported by a systematic literature review (SLR) with an in-depth analysis of 34 articles from Scopus-indexed and Web of Science databases journals, this paper identifies, analyzes and describes the difficulties and opportunities in the social innovation and social entrepreneurship literature. Little is known about the link between both concepts and the influence of the ‘social’ in their development and implementation. This SLR was conducted to identify and describe definitions and patterns. Results show that the connection between social innovation and social entrepreneurship is in its take-off phase, but it still is a fragmented field with a huge lack of consensus. Thus, it will be important to see where the field will head, as this paper aims to be a first step in the understanding of social innovation and social entrepreneurship through a collective and integrated perspective, providing an elucidation of the different perspectives of the literature. © 2022 China Ordnance Society
2022
Authors
Dias, S; Brito, P;
Publication
Analysis of Distributional Data
Abstract
2022
Authors
Melo, P; Arrais, R; Teixeira, S; Veiga, G;
Publication
2022 IEEE 20TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN)
Abstract
Modern software engineering practices to enable reproducible and easy to deploy robotics solutions have been embraced in recent years, leading to an increasing adoption of container technologies within the Robot Operating System (ROS) community. However, there is still no common procedure or tools for creating, testing, and deploying containerized ROS packages. A common way to work with containerized ROS applications would prove beneficial by increasing even more the level of collaboration among development teams, help in reusing existing solutions, and automate the development of new ones. This paper presents a software framework to support the development of ROS applications using Docker containers, across all its stages. Besides containerizing ROS packages, the presented tool also assists in the deployment of containerized solutions as well as the creation of complex simulation environments for testing. The tool also provides a way for these simulations to be assessed at run-time using a property-specific language targeting ROS applications. An industrial and a scientific scenario are presented to portray the usage of the proposed tool.
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