Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for image queries with low percentages of relevant images in a collection. Moreover, CBIR typically ranks the whole collection, ...

Today’s industrial facilities, such as oil refineries, chemical plants, and factories, rely on wired sensor systems to monitor and control the production processes. The deployment and maintenance of such cabled systems is ...

In this paper, we deal with mobility management for wireless sensor networks and we focus on the first phase of a handoff procedure which is concerned with the mechanics of measuring important parameters and initiating ...

Multi-objective robot exploration constitutes one of the most challenging tasks for autonomous robots performing in various operations and different environments. However, the optimal exploration path depends heavily on ...

The advances in computer and network infrastructure together with the fast evolution of multimedia data has resulted in the growth of attention to the digital video’s development. The scientific community has increased the ...

Οι Τρεις Ιεράρχες που καθιερώθηκαν δικαίως στη νεώτερη ιστορία του Ελληνικού Έθνους ως οι προστάτες και στυλοβάτες της ελληνικής παιδείας αποτελούν για όλους μας, εκπαιδευτικούς και εκπαιδευομένους, πηγή εμπνεύσεως και ...

The results of a content based image retrieval system can be evaluated by several performance measures, each one employing different evaluation criteria. Many of the methods used in the field of information retrieval have ...

In this paper, we propose a user-centric software architecture for managing Ubiquitous Health Monitoring Data (UHMD) generated from wearable sensors in a Ubiquitous Health Monitoring System (UHMS), and examine how these ...

This paper describes a visual multimedia content encryption approach based on cellular automata (CA), expanding the work proposed in [4]. The presented algorithm relies on an attribute of the eXclusive-OR (XOR) filter, ...

In the last decade the amount of the stored data related to almost all areas of life has rapidly increased. However, the overall process of discovering knowledge from data demands more powerful clustering techniques to ...

Autonomous micro helicopters are about to play a major role in tasks like search and rescue, environment monitoring, security surveillance, inspection, etc. If they are further realized in small scale, they can also be ...

The term "smart" has become widespread in consumer electronics in recent years, reflecting the consumers' need for devices that assist them in their daily activities. The term has a long history of usage in marketing science ...

In this paper, we focus on implementing the extraction of a well-known low-level image descriptor using the multicore power provided by general-purpose graphic processing units (GPGPUs). The color and edge directivity ...

Mobile devices such as smartphones and tablets are widely used in everyday life to perform a variety of operations, such as e-mail exchange, connection to social media, bank/financial transactions, and so on. Moreover, ...

This paper presents a novel, intelligent controller to support mobility in wireless sensor networks. In particular, the focus is on the deployment of such mobility solution to critical applications, like personnel safety ...

In this paper we address the problem of deciding whether a water source should be used by a water utility such that the production cost as well as the penalty cost due to water shortages is minimized while certain ...

Mobility management is a crucial problem for wireless mobile communication, especially in wireless sensor networks (WSN). In this chapter, we show the need of providing an intelligent mobility controller, applicable to any ...

This paper presents a privacy-preserving system for participatory sensing, which relies on cryptographic techniques and distributed computations in the cloud. Each individual user is represented by a personal software ...

In this paper we propose a novel method for object grasping that aims to unify robot vision techniques for 24 efficiently accomplishing the demanding task of autonomous object manipulation. Through ontological 25 concepts, ...

This paper presents an image retrieval framework that uses affine image moment invariants as descriptors of local image areas. Detailed feature vectors are generated by feeding the produced moments into a Bag-of-Visual-Words ...