scholarly journals Preliminary Study for Exploring SAV Route Using Taxi DTG and Urban Big-Data with Learning Based Approach in AI

2021 ◽  
Vol 39 (6) ◽  
pp. 766-779
Author(s):  
Keunwook KIM ◽  
Junghwa KIM ◽  
Woojin KIM ◽  
Seunghyeon LEE
Keyword(s):  
Big Data ◽  
2020 ◽  
Vol 18 (2) ◽  
pp. 145
Author(s):  
Rodrigo Cunha ◽  
Yara Medeiros

A experimentação de novas estratégias de navegação e de narrativas, beneficiadas pelo avanço do design e das linguagens de programação, aponta novos “modos de fazer” e de apresentar a informação no jornalismo digital. As aqui denominadas reportagens visuais têm se reproduzido em diversos sites, integrando cada vez mais elementos como fotografias, vídeos, infográficos interativos, entre outros elementos. Este texto pretende apresentar, de forma preliminar, a experiência de leitura destas reportagens em dispositivos móveis em três principais cibermeios brasileiros – Folha de S.Paulo, O Estado de S.Paulo e O Globo, por meio de testes de usabilidade, dados quantitativos e qualitativos. Pretendemos também aliar metodologias da ciência da computação e da comunicação, como uma tentativa de experienciar o campo das humanidades digitais e do Big Data.


2019 ◽  
Vol 8 (3) ◽  
pp. 2446-2449

The Streaming big data is one of shifting trend of technology, from data cycle from external behaviour (Hardware) that is low-level low language to digital level, through virtual memory to be implemented as datasets. The proposed model in this preliminary study impending to track data from a different platform and considered important parameters in establishing regulate the storage machinery, storage format, and the pre-processing tools. Moreover, the source for the data type is unstructured data that request organized data in different levels to able forwards process data from machine level to MetaData. The type of storage is virtual memory and the important matter is the capacity is limited. The tuple is third level context the digital data from each sensor through template are recorded by counter time


2019 ◽  
Vol 11 (18) ◽  
pp. 5067 ◽  
Author(s):  
Miltiades D. Lytras ◽  
Anna Visvizi

Big data is the buzz-word of today, and yet their specific impact on individuals and societies remains assumed rather than fully understood. Clearly, big data and their use have already given rise to a number of questions, including those of how data can be collected and used in ethical and socially sensitive ways. Building on these points, the objective of this study was to explore how precisely big data and big data based services influence individuals and societies. This paper elaborates on individuals’ perceptions of data, especially on how they perceive the actual sharing of their data. In this way, this paper defines a value space for the social impact of big data relevant to three factors, namely the intention to share personal data, individual’s concerns, and social impact of big data.The main contribution of this study consists of the insights into the still nascent area of research that unfolds at the cross-section of social science and computer science. We expect that in the next years this area of research will gain prominence.


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