Search results for "Information Systems"

Simulation models in eGovernment using system dynamics: A literature survey

2016

System Dynamics (SD) is a method to build simulation models using computers, to study the behaviour of systems, and apply what-if scenarios aiming at achieving optimal policy design. To have an overview of the current state-of-the-art of SD use in the eGovernment field; we have surveyed related literature. Our main goal is to uncover the possibilities for future research by clarifying the shortages. The identified literature is not very large. In most of the literature, SD models use was limited to SD practitioners. We discovered low usage of Group Model Building and workshops despite their usefulness in involving non-SD practitioners in the model building process. Additionally, there is a …

Affordances and effects of introducing social media within eParticipation-Findings from government-initiated Indonesian project

2018

The Current State of Social Media Research for eParticipation in Developing Countries: A Literature Review

2016

While there is an increasing interest for conducting research on the importance of social media within the eParticipation area, more emphasis is still needed within the context of developing countries. We address this need by presenting a literature review on social media within eParticipation in developing countries, to add to the understanding of how these technologies influence the political environment. We discuss trends, contributions and challenges within this area, and propose a future research agenda. Furthermore, we propose a model of social media for eParticipation from a process view perspective to guide future research in this field.

Robust Graph Topology Learning and Application in Stock Market Inference

2019

In many applications, there are multiple interacting entities, generating time series of data over the space. To describe the relation within the set of data, the underlying topology may be used. In many real applications, not only the signal/data of interest is measured in noise, but it is also contaminated with outliers. The proposed method, called RGTL, infers the graph topology from noisy measurements and removes these outliers simultaneously. Here, it is assumed that we have no information about the space graph topology, while we know that graph signal are sampled consecutively in time and thus the graph in time domain is given. The simulation results show that the proposed algorithm h…

Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments

2017

This paper deals with the extremely fascinating area of “fusing” the outputs of sensors without any knowledge of the ground truth. In an earlier paper, the present authors had recently pioneered a solution, by mapping it onto the fascinating paradox of trying to identify stochastic liars without any additional information about the truth. Even though that work was significant, it was constrained by the model in which we are living in a world where “the truth prevails over lying”. Couched in the terminology of Learning Automata (LA), this corresponds to the Environment (Since the Environment is treated as an entity in its own right, we choose to capitalize it, rather than refer to it as an “…

Optimal selection of touristic packages based on user preferences during sports mega-events

2022

Sport mega-events, such as the Soccer World Cup or Olympic Games, attract many visitors from all over the world. Most of these visitors are also interested in, besides attending the sports events, visiting the host nation and the neighboring countries. In this paper, we focus on the upcoming FIFA World Cup Qatar 2022. As per the schedule of the tournament, a national team can play 7 matches at most. Therefore, a supporter will have six short breaks (of three to five days) between consecutive matches in addition to two longer ones, immediately before and after the tournament, during which they can plan some touris- tic trips. We study the problem faced by a touristic trip provider who wants …

E-health progresses in Romania

2006

The paper is presenting the recent evolution of e-health aspects in Romania. Data presented are based on governmental reports. Surveys organized by the "Lucian Blaga" University of Sibiu and studies carried on by the national Institute for Research and Development in Informatics (I.C.I.) have shown that Romania has important health problems, from cardio vascular diseases (CVD) to cancer and infectious diseases, a high score on mortality and morbidity and a low one on natality. Poor management of the health sector did not help to solve all these problems. In the last 14 years there were several attempts to reform healthcare but none succeeded until now. The health insurance system is operati…

European leaders unmasked: Covid-19 communication strategy through Twitter

2020

[EN] The coronavirus disease Covid-19 (SARS-CoV-2) pandemic is exacting a huge toll on individuals, families, communities, and societies across the world. The study of public communication is a key aspect for slowing the spread of the virus and therefore reducing the death rate. This article analyses political leaders' crisis communication during the Covid-19 pandemic of the most affected European countries, Boris Johnson (United Kingdom), Emmanuel Macron (France), Pedro Sanchez (Spain) and Giuseppe Conte (Italy), in addition to Tedros Adhanom as a representative of the World Health Organisation (WHO) and Ursula Von der Leyen President of the European Union (EU). The study focuses on the vi…

A fog-assisted system to defend against Sybils in vehicular crowdsourcing

2022

Technological advancements in vehicular transportation systems have led to the growth of novel paradigms, in which vehicles and infrastructures collaborate to infer high-level knowledge about phenomena of interest. Vehicular Social Network (VSN) is one such paradigm in which vehicular network entities are considered as part of an Online Social Network (OSN), paving the way for new services derived from social context. Although vehicular crowdsourcing has tremendous benefits, its deployment in real systems requires to solve important challenges including defense against Sybil attacks. This paper proposes a novel fog-assisted system that uses SybilDriver to minimize the presence of Sybil enti…

Spectrum cartography techniques, challenges, opportunities, and applications: A survey

2021

The spectrum cartography finds applications in several areas such as cognitive radios, spectrum aware communications, machine-type communications, Internet of Things, connected vehicles, wireless sensor networks, and radio frequency management systems, etc. This paper presents a survey on state-of-the-art of spectrum cartography techniques for the construction of various radio environment maps (REMs). Following a brief overview on spectrum cartography, various techniques considered to construct the REMs such as channel gain map, power spectral density map, power map, spectrum map, power propagation map, radio frequency map, and interference map are reviewed. In this paper, we compare the pe…