Digital Cities Roadmap. Группа авторов

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СКАЧАТЬ CUDA support? Algorithms Release date Tensor Flow Google Brain team Linux. Mac OS X (Windows support on road map Yes C++, Python Python, C/ C++ Yes Deep learning algorithm: RNN, CN, RBM and DUN. Novembeir 2015 Theano Universit de Montral Cross-platform Yes Python Python Yes Deep learning algorithm: RNN, CN, RBM and DBN. September 2007 H20 H20.ai Linux, Mac OS, Microsoft Windows And Cross-platform inch Apache HDFS; Amazon EC2, Google Compute Engine, and Microsoft Azure. Yes Java, Scala, Python, R Python, R No Algorithms for classification, clustering, generalized linear models, statistical analysis, ensembles, optimization tools, data pre-processing options and deep neural networks. August 2011 Deeplearning4j Various. Original author Adam Gibson Linux, OSX, Windows, Android, CyanogenMod (Cross-platform) Yes Java, Scala, C, CUDA Java, Scala, CIo-jure Yes Deep learning algorithms including: RBM, DBN. RNN. deep autoencoder August 2013 MLlib Spark Apache Software Foundation. UC Berkeley AMPLab, Databricks Microsoft Windows, OS X, Linux Yes Scala. Java, Python, R Scala, Java, Python. R No Classification, regression, clustering, dimensionality reduction, and collaborative filtering May 2014 Azure Dave Cutler from Microsoft Microsoft Windows, Linux No C++ C++, Java. ASP.NET, PHP. Nodejs, Python Yes Classification, regression, clustering October 2010 Torch Ronan Collobert, Koray Kavukcuoglu, Clement Farabet Linux. Android, Mac OS X_TiOS Yes C, Lua Lua, LuaJlT. C, utility library for C++/ OpenCL Yes Deep algorithms October 2002 MOA University of Waikato Cross-platform Yes Java GUI, the commandline. and Java No ML algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) November 2014 Caffe Berkeley Vision and Learning Center. community contributors Ubuntu, OS X, AWS, unofficial Android port, Windows support by Microsoft Research, unofficial Windows port Yes C++, Python C++, command line. Python, MATLAB Yes Deep learning algorithms: CN, and RNN December 2012

       1.10.7 Big Data Research Applications for SBs in Real-Time

Many systems need a stream data processing in real time, so it is not feasible for this form of program to wait for data to be stored so evaluated. Stream processing is typically configured to interpret large volumes of data and operate on data streaming in real time by using constant queries, including SQL queries, to manage streaming data in real time, using an interface that is robust, accessible and fault resistant (Table 1.7).

       1.10.8 Implementation of the ML Concept in the SB Context

      Figure 1.25 illustrates specific measures to forecast an event in the SB sense by utilizing ML methods.

      On the other hand, the aim of optimization is to optimize long-lasting gains by proper decisions. Strengthening learning with these issues can be used. Many optimization issues may be treated as predicting issues such that benefit is estimated for different activities and the activity with the largest income is chosen. The most important form in optimization is decision-making. A variety of factors and compromises about the effects of specific environmental locations need to be addressed.

       Smart Building Services Taxonomy

      The taxonomy of SB resources essential domains is shown in Figure 1.26. Lighting service connects the well-being of occupants in SBs that have sensors that save energy when lights are not needed, based on their operation. Power and electricity can supply a percentage of SB power consumption with renewable energy sources. HVAC implies the heating, ventilation and air conditioning device, built for the comfort of citizens and an efficient ambient contact. The water resources program aims at growing conservation and maximizing resource recovery for water supply.

      Smart building service taxonomy is related to the maintenance of electronic doors, biometrics and SB security cameras devices. The Control Center offers management and decision-making for apps. The automated apps include a description of the state of building capital resources and HR managers. These interfaces enable occupants to set optimum criteria to boost everyday business comfort and productivity. Ultimately, the Control Center, in the house like in the service control room, refers to linking sensors and actuators (Table 1.8).

      Table 1.7 Difference between real time data analysis tools [56].

Tool

First released in

Main Owner

Platform

Written in

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