51,874 research outputs found
Unit Testing of Energy Consumption of Software Libraries
International audienceThe development of energy-efficient software has become a key requirement for a large number of devices, from smartphones to data centers. However, measuring accurately this consumption is a major challenge that state-of-the-art approaches have tried to tackle with a limited success. While monitoring applications' consumption offers a clear insight on where the energy is being spent, it does not help in understanding how the energy is consumed. In this paper, we therefore introduce Jalen Unit, a software framework that infers the energy consumption model of software libraries from execution traces. This model can then be used to diagnose application code for detecting energy bugs, understanding energy distribution, establishing energy profiles and classifications, and comparing software libraries against their energy consumption
Synergy: An Energy Monitoring and Visualization System
The key to becoming a more sustainable society is first learning to take responsibility for the role we play in energy consumption. Real-time energy usage gives energy consumers a sense of responsibility over what they can do to accomplish a much larger goal for the planet, and practically speaking, what they can do to lower the cost to their wallets. Synergy is an energy monitoring and visualization system that enables users to gather information about the energy consumption in a building â small or large â and display that data for the user in real-time. The gathered energy usage data is processed on the edge before being stored in the cloud. The two main benefits of edge processing are issuing electricity hazard warnings immediately and preserving user privacy. In addition to being a scalable solution that intended for use in individual households, commercial offices and city power grids, Synergy is open-source so that it can be implemented more widely. This paper contains a system overview as well as initial finding based on the data collected by Synergy before assessing the impact the system can have on society
Performance testing of a low power consumption wireless sensor communication system integrated with an energy harvesting power source
This paper presents the performance testing results of a wireless sensor communication system with low power consumption integrated with a vibration energy harvesting power source. The experiments focus on the systemâs capability to perform continuous monitoring and to wirelessly transmit the data acquired from the sensors to a user base station, completely battery-free. Energy harvesting technologies together with system design optimisation for power consumption minimisation ensure the systemâs energy autonomous capability demonstrated in this paper by presenting the promising testing results achieved following its integration with Structural Health Monitoring (SHM) and Body Area Network (BAN) applications
A novel haptic model and environment for maxillofacial surgical operation planning and manipulation
This paper presents a practical method and a new haptic model to support manipulations of bones and their segments during the planning of a surgical operation in a virtual environment using a haptic interface. To perform an effective dental surgery it is important to have all the operation related information of the patient available beforehand in order to plan the operation and avoid any complications. A haptic interface with a virtual and accurate patient model to support the planning of bone cuts is therefore critical, useful and necessary for the surgeons. The system proposed uses DICOM images taken from a digital tomography scanner and creates a mesh model of the filtered skull, from which the jaw bone can be isolated for further use. A novel solution for cutting the bones has been developed and it uses the haptic tool to determine and define the bone-cutting plane in the bone, and this new approach creates three new meshes of the original model. Using this approach the computational power is optimized and a real time feedback can be achieved during all bone manipulations. During the movement of the mesh cutting, a novel friction profile is predefined in the haptical system to simulate the force feedback feel of different densities in the bone
Simulation and BIM in building design, commissioning and operation: a comparison with the microelectronics industry
Analogy between the Microelectronics and Building industries is explored with the focus on design, commissioning and operation processes. Some issues found in the realisation of low energy buildings are highlighted and techniques gleaned from microelectronics proposed as possible solutions. Opportunities identified include: adoption of a more integrated process, use of standard cells, inclusion of controls and operational code in the design, generation of building commissioning tests from simulation, generation of building operational control code (including self-test) from simulation, inclusion of variation and uncertainties in the design process, use of quality processes such as indices to represent design robustness and formal continuous improvement methods. The possible integration of these techniques within a building information model (BIM) flow is discussed and some examples of enabling technologies given
EACOF: A Framework for Providing Energy Transparency to enable Energy-Aware Software Development
Making energy consumption data accessible to software developers is an
essential step towards energy efficient software engineering. The presence of
various different, bespoke and incompatible, methods of instrumentation to
obtain energy readings is currently limiting the widespread use of energy data
in software development. This paper presents EACOF, a modular Energy-Aware
Computing Framework that provides a layer of abstraction between sources of
energy data and the applications that exploit them. EACOF replaces platform
specific instrumentation through two APIs - one accepts input to the framework
while the other provides access to application software. This allows developers
to profile their code for energy consumption in an easy and portable manner
using simple API calls. We outline the design of our framework and provide
details of the API functionality. In a use case, where we investigate the
impact of data bit width on the energy consumption of various sorting
algorithms, we demonstrate that the data obtained using EACOF provides
interesting, sometimes counter-intuitive, insights. All the code is available
online under an open source license. http://github.com/eaco
KRATOS: An Open Source Hardware-Software Platform for Rapid Research in LPWANs
Long-range (LoRa) radio technologies have recently gained momentum in the IoT
landscape, allowing low-power communications over distances up to several
kilometers. As a result, more and more LoRa networks are being deployed.
However, commercially available LoRa devices are expensive and propriety,
creating a barrier to entry and possibly slowing down developments and
deployments of novel applications. Using open-source hardware and software
platforms would allow more developers to test and build intelligent devices
resulting in a better overall development ecosystem, lower barriers to entry,
and rapid growth in the number of IoT applications. Toward this goal, this
paper presents the design, implementation, and evaluation of KRATOS, a low-cost
LoRa platform running ContikiOS. Both, our hardware and software designs are
released as an open- source to the research community.Comment: Accepted at WiMob 201
Benchmarking CPUs and GPUs on embedded platforms for software receiver usage
Smartphones containing multi-core central processing units (CPUs) and powerful many-core graphics processing units (GPUs) bring supercomputing technology into your pocket (or into our embedded devices). This can be exploited to produce power-efficient, customized receivers with flexible correlation schemes and more advanced positioning techniques. For example, promising techniques such as the Direct Position Estimation paradigm or usage of tracking solutions based on particle filtering, seem to be very appealing in challenging environments but are likewise computationally quite demanding. This article sheds some light onto recent embedded processor developments, benchmarks Fast Fourier Transform (FFT) and correlation algorithms on representative embedded platforms and relates the results to the use in GNSS software radios. The use of embedded CPUs for signal tracking seems to be straight forward, but more research is required to fully achieve the nominal peak performance of an embedded GPU for FFT computation. Also the electrical power consumption is measured in certain load levels.Peer ReviewedPostprint (published version
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