Breaking barriers for breaking ground: A categorisation of public sector challenges to smart city project implementation
Smart city technologies provide promising solutions for local governments to tackling
societal challenges and enhancing public service provision. The global embrace of these …
societal challenges and enhancing public service provision. The global embrace of these …
Big data processing in fog-smart parking case study
The introduction of Internet of Things (IoT) and its positive effects within city life context will
be first seen in the applications that most obviously affect people's lives, such as improving …
be first seen in the applications that most obviously affect people's lives, such as improving …
[HTML][HTML] Effectiveness of an ambient assisted living (HomeAssist) platform for supporting aging in place of older adults with frailty: protocol for a quasi-experimental …
Background: Ambient assisted living (AAL) technologies are viewed as a promising way to
prolong aging in place, particularly when they are designed as closely as possible to the …
prolong aging in place, particularly when they are designed as closely as possible to the …
Evaluation of high-level query languages based on MapReduce in Big Data
MapReduce (MR) is a criterion of Big Data processing model with parallel and distributed
large datasets. This model knows difficult problems related to low-level and batch nature of …
large datasets. This model knows difficult problems related to low-level and batch nature of …
Multidimensional situational information fusion method for energy saving on campus
X **g, S Li, J Cheng, J Guo - Journal of Intelligent & Fuzzy …, 2020 - content.iospress.com
In order to solve the problem of resource waste in colleges and universities, this paper
proposes a multidimensional situational information fusion method, which can be used to …
proposes a multidimensional situational information fusion method, which can be used to …
Data Processing in Industrie 4.0: Data Analysis and Knowledge Management in Industrie 4.0
F Werner, R Woitsch - Datenbank-Spektrum, 2018 - Springer
The pressure on companies to increase their flexibility and efficiency in manufacturing is
constantly increasing. Factory managers therefore need to be able to obtain information in …
constantly increasing. Factory managers therefore need to be able to obtain information in …
[PDF][PDF] Designing Smart Parking System through the Use of IoT and Big Data
RSB Cokro, EY Wirawan, Y Putra… - International Journal of …, 2021 - academia.edu
One of the endless problem in Jakarta is the potential loss of DKI Jakarta regional
government revenue related to parking fees. This study was made to overcome this problem …
government revenue related to parking fees. This study was made to overcome this problem …
Performance evaluation of big data frameworks: Mapreduce and Spark
Spark and MapReduce are two prominent open-source distributed computing frameworks
for big data processing and analytics. These frameworks introduce a simple programming …
for big data processing and analytics. These frameworks introduce a simple programming …
Ubiquitous Intelligence and computing for enabling a smarter world
This special issue of the Personal and Ubiquitous Computing (PUC) journal is devoted to
papers selected from the 13th IEEE International Conference on Ubiquitous Intelligence and …
papers selected from the 13th IEEE International Conference on Ubiquitous Intelligence and …
SMSS: does social, mobile, spatial and sensor data have high impact on big data analytics
CS Govardanan… - International Journal of …, 2020 - inderscienceonline.com
Big data refers to the huge torrent of large-scale datasets that are being generated at an
exponential growth. Since we live in this digital world, the era of big data has emerged in …
exponential growth. Since we live in this digital world, the era of big data has emerged in …