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Cloud computing in recent years has become very popular and, indeed, many current applications are served from the cloud. Because the cloud architecture is based on virtual machines, VMs and VM management are quite important. Monitoring a large number of virtual machines is an important research topic. Since the establishment of the Personal Information Protection Act, there has been more attention...
We present a novel architecture for the design of feedback control schemes, aiming to automate the cognitive process performed by human experts when designing control schemes for certain systems. The work starts with the identification of types of cyber-physical modules participating in a feedback control scheme. Each module is defined as a functional mapping between inputs-vectors and an output vector...
While reducing costs and improving sustainability, a common goal for Smart Cities is to become more “liveable” for their citizens. By taking advantage of new information sources offered by the Internet of Things (IoT), cities can rely on sensing platforms to improve their service offer. These sensing platforms, however, raise new research challenges, in particular regarding Quality of Information...
The data science skills shortage means that those who have the knowledge are under constant pressure to do more with less. While the data science tools are improving at a staggering pace, the operational tools around them can not keep up. Even researchers at Google state that the issue of automatic configuration and dependency management of services is still an “open, hard problem”. This manifests...
An integrated test vehicle architecture for resistive memories is presented. The designed structure, made by two 128kb arrays, allows a systematic characterization of the technology before, during and after the exposure to radiation. For this, after the motivation of the work, the architecture and the design solutions to achieve a high degree of tolerance to radiation effect are discussed; a radiation-hardening-by-design...
Exploiting the network's edge is trending nowadays due to the evolution end devices, e.g., IoTs and smartphones. In this work, we present LAMEN1, an initial attempt to execute services at the network's edge closer to data sources. Unlike crowdsensing approaches, which use end devices as data collectors wasting the bandwidth in transmission to cloud servers for processing. LAMEN proposes a layered...
Analyzing and visualizing large datasets generated by real-time spatio-temporal activities (e.g. vehicle mobility or large crowd movement) are a very challenging task. Recursive delays both at middleware and front end applications limit the of usefulness of the real-time analysis. In this paper, we present a framework “Spatial-Crowd” that first handles spatial-temporal data acquisition and processing...
This paper presents a micro-power photovoltaic (PV) harvesting system. A H-bridge configuration DC-DC converter is designed to harvest PV energy and deliver energy to applications of Internet of Thing (IOT). The main converter consists of a single inductor with two inputs and two outputs. It regulates a constant 1V output voltage for several applications such as sensors and signal transmitters. The...
Increase in image resolution require the abilityof image sensors to pack an increased number of circuitcomponents in a given area. On the the other hand a high speedprocessing of signals from the sensors require the ability of pixelto carry out pixel parallel operations. In the paper, we proposea modified 3T and 4T CMOS wide dynamic range pixels, which we refer as 2T-M and 3T-M configurations, comprising...
Cloud computing and big data analysis are gaining lots of interest across a range of applications including disaster management. These two technologies together provide the capability of real-time data analysis not only to detect emergencies in disaster areas, but also to rescue the affected people. This paper presents a framework that supports emergency event detection and alert generation by analyzing...
Smart grids have been proposed as a mechanism to modernize energy grids. In a smart grid, sensors, computers and communication networks are integrated into the power generation, transmission, distribution, and load elements. In this paper, we propose a cloud-based brokerage and analytics support system for smart grids, discuss a framework for implementing service level agreements in smart grids, and...
Smart grid technologies will equip the electrical grid of the future with two-way information flow between grid entities and consumers. This bidirectional information flow facilitates improved grid monitoring, control automation, energy efficiency, and sustainability. Several smart grid networking architectures have been proposed recently. However, the majority of these are restricted to subdomains...
The goal of this paper is to establish a framework called SMOME for evaluating the marginal utility of adding smart sensing and metering hardware to residential premises, in terms of efficiency improvement (reduction in energy consumption) and economic benefits (reduction in energy cost). In order to isolate the effect of smart home technologies on energy efficiency, it is assumed that no changes...
In mobile computing developers will need to develop applications that will interact with the end user. Context-aware applications notify or ask users what they want based on what they have sensed or on a user profile. Event-driven mobile computing detects conditions of interest to users and notifies them accordingly. In this paper we discuss the importance and challenges in designing event-driven...
Vehicle to Vehicle (V2V) communication systems enable vehicles to communicate with each other and use the shared information to make safety related decisions. However, the safety improvement of the current V2V systems only benefits V2V-enabled objects in the V2V network. The Pedestrian Automatic Emergency Braking System (PAEB) can utilize onboard sensors to detect pedestrians and make safety related...
Cloud computing is gaining more and more popularity due to the wide use of the Internet. It can now be integrated into vehicle applications to enhance mobility, preventing accidents, improve safety, and improve driving comfort. In this paper, we propose a secure architecture of inter-vehicle communication which is obtained from a cloud services, including architecture level, communication level and...
Driving test is critical to the deployment of autonomous vehicles. It is necessary to review the related works since the methodologies summaries are rare, which will help to set up an integrated method for autonomous driving test in different development stages, and help to provide a reliable, quick, safe, low cost and reproducible method and accelerate the development of autonomous vehicle. In this...
In this paper, we are presenting a data flow and fault management architecture, developed for an event driven wireless sensor network used in landslide surveillance. Our concept system collects landslide data using a dedicated wireless sensor network. The WSN was configured with tree architecture and contains one gateway, relay nodes, and multiple end nodes. The WSN components were distributed in...
Deployment of services in 5G networks needs tofollow highly dynamic and flexible approaches to reduce theprovisioning time from 90 minutes to 90 seconds. NetworkFunction Virtualization (NFV) is a key technology to enable verydynamic service lifecycles in 5G networks, including multiplerecurrent provisioning and maintenance activites on installedservices. The SELFNET research project, funded by the...
Increased availability of wearable devices, smart phones establishes a platform for designing innovative distributed crowd sourcing mobile applications. These applications can take advantage of computation offloading to augment the constrained resources and unavailability of required context on single mobile device. ContextMete is an offloading architecture that execute such applications across the...
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