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Building timing predictable embedded systems

Philip Axer, Christine Rochange, Maurice Sebastian, Reinhard Von Hanxleden, Reinhard Wilhelm, Wang Yi, Rolf Ernst, Heiko Falk, Alain Girault, Daniel Grund, Nan Guan, Bengt Jonsson (+2 others)
2014 ACM Transactions on Embedded Computing Systems  
Predictable system design is concerned with the challenge of building systems for which timing requirements can be guaranteed a priori.  ...  A large class of embedded systems is distinguished from general-purpose computing systems by the need to satisfy strict requirements on timing, often under constraints on available resources.  ...  Building Timing Predictable Embedded Systems 82:17 http://www.predator-project.eu.  ... 
doi:10.1145/2560033 fatcat:vyvehgnkxfdmnbs2wcwada3sxi

Automatic HVAC control with real-time occupancy recognition and simulation-guided model predictive control in low-cost embedded system

Muhammad Aftab, Chien Chen, Chi-Kin Chau, Talal Rahwan
2017 Energy and Buildings  
Traditional building automation systems rely on fairly inaccurate occupancy sensors and basic predictive control using oversimplified building thermal response models, all of which prevent such systems  ...  building automation: (1) real-time occupancy recognition using video-processing and machine-learning techniques, (2) dynamic analysis and prediction of occupancy patterns, and (3) model predictive control  ...  With this in mind, we designed and implemented an occupancy-predictive HVAC control system in a low-cost yet powerful embedded system (using Raspberry Pi 3) for building automation.  ... 
doi:10.1016/j.enbuild.2017.07.077 fatcat:srr54ohhsfc2tnmssjzghvjgry

Predicting the Power Consumption of Electric Appliances through Time Series Pattern Matching

Andreas Reinhardt, Delphine Christin, Salil S. Kanhere
2013 Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings - BuildSys'13  
Subsequently, time series pattern matching is applied to detect these signatures in real-time data, and emit predictions of an appliance's future consumption based thereupon.  ...  We present a system to forecast the power consumption of electric household appliances.  ...  We leverage this property and present a system that predicts an appliance's future power consumption based on its previous power consumption data.  ... 
doi:10.1145/2528282.2528315 dblp:conf/sensys/ReinhardtCK13 fatcat:m6v7c554abbxjf6sp2iefansre

Using Graph Neural Networks for Program Termination [article]

Yoav Alon, Cristina David
2022 arXiv   pre-print
For each node 𝑖 ∈ 𝑉 and its embedding ℎ (𝑙) 𝑖 at time step 𝑙, the embeddings ℎ (𝑙) 𝑗 of its neighbours 𝑗 ∈ 𝑁 (𝑖) are aggregated and the current node's embedding is updated to ℎ (𝑙+1) 𝑖 using  ...  GNNs are gaining a lot of interest as they are being used to analyze graph-based systems denoting social networks [65] , physical systems [53] , knowledge graphs [34] , point-cloud classification [  ... 
arXiv:2207.14648v1 fatcat:nqnggy5rhjcqzngggguqwmqfsy

Two challenges in embedded systems design: predictability and robustness

T. A Henzinger
2008 Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences  
We discuss two main challenges in embedded systems design: the challenge to build predictable systems, and the challenge to build robust systems.  ...  We suggest how predictability can be formalized as a form of determinism, and robustness, as a form of continuity.  ...  In embedded programming, the challenge is to build time-deterministic systems.  ... 
doi:10.1098/rsta.2008.0141 pmid:18672451 fatcat:ezefhxs62ffplgk4nedqilykge

On the embedding parameters in kernel identification problem of nonlinear dynamical systems

N R Antropov, E D Agafonov
2020 IOP Conference Series: Materials Science and Engineering  
The paper presents simulations of the kernel least mean squares algorithm on one-step prediction problem for various values of embedding lag and embedding dimension.  ...  A common question in identification of dynamical system is sensitivity of kernel-based models to selected embedding lag and embedding dimension.  ...  This fact is very important in the field of building of real-time and adaptive systems operating under restrictions on the computation time and memory.  ... 
doi:10.1088/1757-899x/734/1/012143 fatcat:d3gdqnqe35b75iogvgwczswgui

Comparison between Inverse Model and Chaos Time Series Inverse Model for Long-Term Prediction

Young-Jin Kim
2017 Sustainability  
of nonlinear time-varying systems into a strange attractor (e.g., a Rossler attractor or a Lorenz attractor), and it can then predict future states.  ...  For this study, the author used a training dataset measured in an existing high-rise building and examined the predictive abilities of the chaos time series inverse model modelled into phase spaces with  ...  Figure 1 . 1 Real building and Building Energy Management System (BEMS) data.  ... 
doi:10.3390/su9060982 fatcat:ocw75icjjfdenjkfejxdeght34

Experimental validation of frequency-domain finite-difference model of active pipe-embedded building envelope in time domain by using Fourier series analysis

Junlong Xie, Xinhua Xu, Anbang Li, Qiuyuan Zhu
2015 Energy and Buildings  
Frequency-Domain Finite-Difference (FDFD) model can predict the frequency thermal response of active pipe-embedded building envelope directly and provide some important guidelines for system control and  ...  system sizing.  ...  Based on the superposition principle of linear and time-invariant system, the time-domain thermal responses of the pipe-embedded building envelope can be expressed as the sum of the individual time-domain  ... 
doi:10.1016/j.enbuild.2015.04.043 fatcat:5fdkanf7cbgphdgiitwmeukdem

Embedded Systems Design — Scientific Challenges and Work Directions [chapter]

Joseph Sifakis
2010 Lecture Notes in Computer Science  
Scientific Computing -Defence Applications WEB -Information Society Embedded Systems: Computing + Physicality  Seamless revolution  95% of chips are embedded  Convergence between Computing and Telecommunications  ...   Graphic Interfaces, Mouse  Information Systems: Commercial Applications  Integrated circuits Informatics is a young discipline, driven by exponential growth of components and their applications.  ...  10 System design Theory for building artifacts with predictable behavior Lack of results allowing constructivity Physics Computer Science System Design -a long way to go Design of Large  ... 
doi:10.1007/978-3-642-12002-2_1 fatcat:aqrls5a7hrhnffmyu7lql563fq

A Recent Approach Incorporating External Forces To Predict Nonstationary Processes

Wang Ge-Li, Yang Pei-Cai
2010 Atmospheric and Oceanic Science Letters  
of dynamics system.  ...  In this paper, the authors present a novel technique in which the authors incorporate external forces to predict nonstationary time series.  ...  The second step was to build a map for the prediction of the time series.  ... 
doi:10.1080/16742834.2010.11446857 fatcat:vp6ypb7hyva4rcsenipvrafqti

Neural network, ARX, and extreme learning machine models for the short-term prediction of temperature in buildings

Primož Potočnik, Boris Vidrih, Andrej Kitanovski, Edvard Govekar
2019 Building Simulation  
The linear models required embedding dimensions of 24 hours for accurate predictions, whereas the nonlinear models were not very sensitive to the use of past data.  ...  Besides data about the future outdoor temperature, also data about future expected solar radiation significantly improve predictions of temperature in buildings.  ...  Embedding dimension The embedding dimension De defines the time lag in hours between the moment of prediction and the oldest past inputs.  ... 
doi:10.1007/s12273-019-0548-y fatcat:joppjhiorjff7hqj4dwrbewrtm

On the Importance of Nonlinear Modeling in Computer Performance Prediction [chapter]

Joshua Garland, Elizabeth Bradley
2013 Lecture Notes in Computer Science  
We then use those models to predict the processor loads forward in time and compare those forecasts to the true continuations of the time series  ...  Computers are nonlinear dynamical systems that exhibit complex and sometimes even chaotic behavior. The models used in the computer systems community, however, are linear.  ...  One can then build effective prediction models in this embedded space.  ... 
doi:10.1007/978-3-642-41398-8_19 fatcat:pdrvlhqqm5bq5e7vqu5aw5sh5i

Effect of Dimension Reduction on Prediction Performance of Multivariate Nonlinear Time Series

Jun-Yong Jeong, Jun-Seong Kim, Chi-Hyuck Jun
2015 Industrial Engineering & Management Systems  
Based on Taken's embedding theorem, we can build the predictive function where input is the time delay coordinates vector which consists of the lagged values of the observed series and output is the future  ...  The dynamic system approach in time series has been used in many real problems.  ...  Taken's embedding theorem (Takens, 1981) establishes the theoretical background for prediction in the dynamical system approach.  ... 
doi:10.7232/iems.2015.14.3.312 fatcat:6dbpwtm2fjawnh7nncrvtjz2zu

Determinism, Complexity, and Predictability in Computer Performance [article]

Joshua Garland, Ryan James, Elizabeth Bradley
2013 arXiv   pre-print
Computers are deterministic dynamical systems (CHAOS 19:033124, 2009). Among other things, that implies that one should be able to use deterministic forecast rules to predict their behavior.  ...  To explore that, we build models of a number of performance traces from different programs running on different Intel-based computers.  ...  Another alternative is to sample several system variables simultaneously and build multivariate delay-coordinate embeddings. Existing approaches to that are computationally prohibitive [14] .  ... 
arXiv:1305.5408v1 fatcat:nbrm52o5trdo5eossl5biam6v4

Non-linear vector ANN predictor for Earth rotation parameters forecast

D.Milkov, L.Karimova, Z.Malkin
2009 arXiv   pre-print
The versions of the prediction enhancement based on the using for nonlinear corrector are discussed.  ...  Our approach allows us to obtain the vector of the parameter values and escape the expo-nential growth of the prediction errors.  ...  And this representation is typically embedding. In addition, obtaining geometrical image is the topological copy of original attractor of the dynamic system.  ... 
arXiv:0911.3758v1 fatcat:l7nkm3pmsrbyhdo6ji6b2k5cqq
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