Engineers use various physical tools (e.g., computers, smartboards, notes, and prototypes) to support their design work. To understand cognitive processes underlying the innovative design process and to reveal the characteristics of innovation-supporting environments, we examined the pattern of tool use in 43 interdisciplinary engineering design teams enrolled in a full-semester Product Realiza...

RFID technology is a ubiquitous technology, and seems destined to become more a more ubiquitous. Traditional cryptographic primitives are not supported on low-cost RFID tags since, at most, 4K gates can be devoted to security-related tasks. Despite this, there are a vast number of proposals based on the use of classical hash functions, an assumption that is not realistic (at least at the presen...

This document presents technical descriptions of signal processing and cross-layer algorithm design for beamforming from high altitude platforms (HAPs) to ground terminals, and vice versa, using advanced antenna types so-called 'smart antennas'. The research covers topics including vertical antenna arrays for communications from HAPs, optimised antenna array beampatterns for cellular coverage f...

Embedded computer vision based smart systems raise challenging issues in many research fields, including real-time vision processing, communication protocols or distributed algorithms. The amount of data generated by cameras using high resolution image sensors requires powerful computing systems to be processed at digital video frame rates. Consequently, the design of efficient and flexible sma...

According to the M3 architecture (multidevice, multivendor, multidomain), a smart space is created by deploying a Semantic Information Broker (SIB) in a given Internet of Things (IoT) environment. The deployed SIB enables information sharing for all digital devices participating in the IoT environment. In this study, we consider CuteSIB—a new SIB implementation for the Smart-M3 platform, where ...

Embedded smart cameras have limited processing power, memory and energy. In this paper, we introduce two methodologies to increase the energy-efficiency and the battery-life of an embedded smart camera by hardware-level operations when performing object detection and tracking. We use the CITRIC platform as our embedded smart camera. We first perform down-sampling at hardware-level on the micro-...

Recent rapid advances in MEMS and information processing technology have enabled a new generation of AI robotic systems -so-called Smart Matter systems -that are sensor rich and physically embedded. These systems range from decentralized control systems that regulate building temperature (smart buildings) to vehicle on-board diagnostic and control systems that interrogate large amounts of senso...

In recent years, the research field on smart environments, which are spaces with multiple embedded and networked sensors and actuators, has been expanding (Cook & Das, 2004). The main purpose for the introduction of smart environments is to support humans in both physical and informative ways (Johanson et al., 2002), (Mynatt et al., 2004), (Mizoguchi et al., 1999). In smart environments, the di...