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Showing papers by "Elias Kougianos published in 2017"


Journal ArticleDOI
TL;DR: This article focuses on big-sensing-data curation and preparation issues with cloud computing under the theme of the IoT, and focuses on three especially critical issues that need to be addressed: scalable big-Sensing- data cleaning, scalablebig-s sensing-data compression, and cloud-based data curation response for IoT device optimization.
Abstract: Modern sensing devices play a pivotal role in achieving data acquisition, communication, and dissemination for the Internet of Things (IoT). Naturally, IoT applications and intelligent sensing systems supported by sensing devices, such as wireless sensor networks (WSNs), are closely coupled. Modern intelligent sensing systems generate huge volumes of sensing data, well beyond the processing capabilities of common techniques and tools. As a result, collecting, managing, and processing IoT big sensing data within an acceptable time duration is a new challenge for both research and industrial applications. The massive size, extreme complexity, and high speed of big sensing data bring new technical requirements including data collection, data storage, data organization, data analysis, and data publishing in real time when deploying real-world IoT applications. To better facilitate these IoT applications, the convergent research of WSNs, big data, the IoT, and cloud computing is a natural scientific development trend. In this article, we concentrate on big-sensing-data curation and preparation issues with cloud computing under the theme of the IoT. There are three especially critical issues that need to be addressed: scalable big-sensing-data cleaning, scalable big-sensing-data compression, and cloud-based data curation response for IoT device optimization. Viewed from the IoT side, all IoT sensing devices are integrated together in an adaptive solution and upload their data onto the cloud. The automatic responses from both the cloud and intelligent sensors will change the status or behavior of sensing devices and, therefore, the status of the IoT itself.

57 citations


Journal ArticleDOI
TL;DR: This article presents a detailed discussion of various aspects of watermarking technologies on applications ranging from the embedding of marks in the pictorial information on paper to hardware protection.
Abstract: This article presents a detailed discussion of various aspects of watermarking technologies on applications ranging from the embedding of marks in the pictorial information on paper to hardware protection. Included in the present discussion are these general concepts: motivation for watermarking; analog versus digital watermarking; various applications of watermarking, such as paper marks, currency and postal stamps, multimedia, hardware protection and others; and security and performance metrics for evaluating a watermark.

46 citations