Semantic technologies provide a new, promising approach for smart data management and analytics. At the same time, the adoption of an emerging technology is usually limited by factors such as its perceived complexity, cost and performance. Startups and mid-size businesses often have very limited resources to evaluate and prototype with emerging technologies, even if their potential for more eff...

Intelligent transportation systems (ITSs) will be a major component of tomorrow’s smart cities. However, realizing the true potential of ITSs requires ultra-low latency and reliable data analytics solutions that can combine, in realtime, a heterogeneous mix of data stemming from the ITS network and its environment. Such data analytics capabilities cannot be provided by conventional cloud-centri...

Big data plays an important role in smart city. Big data analytics is one of the recent technologies that could enhance smart city services. It provides valuable insights from massive volume of data collected through various sources. The combination of big data and Internet of Things (IoT) supports urban decision makers and provides better services to the citizens. This paper is focused on revi...

Learn about an analytics-based solution for effective power grid management Discover how to improve outage detection and prediction Make better, more timely smart grid business decisions using the analytics data Redguides for Business Leaders

Today smart meters are increasingly used in worldwide. Smart meters are the advanced meters capable of measuring customer energy consumption at a fine-grained time interval, e.g., every 15 minutes. The data are very sizable, and might be from different sources, along with the other social-economic metrics such as the geographic information of meters, the information about users and their proper...

Smart video analytics algorithms can be embedded within surveillance sensors for fast in-camera processing. This paper presents a DSP embedded video analytics system for object and people tracking, using a PTZ camera. The tracking algorithm is based on adaptive template matching and it employs a novel Sum of Weighted Absolute Differences. The video analytics is implemented on the DSP board DM64...

Today, wearable internet-of-things (wIoT) devices continuously flood the cloud data centers at an enormous rate. This increases a demand to deploy an edge infrastructure for computing, intelligence, and storage close to the users. The emerging paradigm of fog computing could play an important role to make wIoT more efficient and affordable. Fog computing is known as the cloud on the ground. Thi...

The widespread popularity of smart meters enables an immense amount of fine-grained electricity consumption data to be collected. Meanwhile, the deregulation of the power industry, particularly on the delivery side, has continuously been moving forward worldwide. How to employ massive smart meter data to promote and enhance the efficiency and sustainability of the power grid is a pressing issue...

The ability of now-casting and eventuality is the most crucial and vital achievement of big data analytics in the area of policy-making. To recognize the trends and to render a real image of the current condition and alarming immediate indicators, the significance and the specific positions of big data in policy-making are undeniable. Moreover, the requirement for policy-making institutions to ...

This paper describes the potential and promising value of smart environments and analytics on the emerging area of video-based learning. In particular, we describe the contributions presented at the International Workshop of Smart Environments and Analytics on Video-Based Learning (SE@VBL) and envision the future of this research area. SE@VBL presents the current state-ofthe-art in the design, ...