Warwick Data Store: A Data Structure Abstraction Library

2020 ◽  
Author(s):  
Richard O. Kirk ◽  
Martin Nolten ◽  
Robert Kevis ◽  
Timothy R. Law ◽  
Satheesh Maheswaran ◽  
...  
Keyword(s):  
Data Structure ◽  
Data Store

Distributed Modeling Of Building Systems Through Cyber-Physical Integration

2019 ◽  
pp. 12-17
Keyword(s):  
Data Structure ◽  
Operating Conditions ◽  
Physical Models ◽  
Distributed Model ◽  
Physical Processes ◽  
Distributed Modeling ◽  
Distributed Models ◽  
Operating Modes ◽  
Building Systems ◽  
Important Practical Application

This article describes the proposed approaches to creating distributed models that can, with given accuracy under given restrictions, replace classical physical models for construction objects. The ability to implement the proposed approaches is a consequence of the cyber-physical integration of building systems. The principles of forming the data structure of designed objects and distributed models, which make it possible to uniquely identify the elements and increase the level of detail of such a model, are presented. The data structure diagram of distributed modeling includes, among other things, the level of formation and transmission of signals about physical processes inside cyber-physical building systems. An enlarged algorithm for creating the structure of the distributed model which describes the process of developing a data structure, formalizing requirements for the parameters of a design object and its operating modes (including normal operating conditions and extreme conditions, including natural disasters) and selecting objects for a complete group that provides distributed modeling is presented. The article formulates the main approaches to the implementation of an important practical application of the cyber-physical integration of building systems - the possibility of forming distributed physical models of designed construction objects and the directions of further research are outlined.

Analytical Study on Big Data

2018 ◽  
Vol 8 (5) ◽  
pp. 75
Author(s):  
Vivek Raich ◽  
Pankaj Maurya
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Decision Maker ◽  
Analytical Study ◽  
Large Data ◽  
Decision Makers ◽  
Continuous Increase ◽  
Analytic Methods ◽  
Data Store ◽  
Business Engineering

in the time of the Information Technology, the big data store is going on. Due to which, Huge amounts of data are available for decision makers, and this has resulted in the progress of information technology and its wide growth in many areas of business, engineering, medical, and scientific studies. Big data means that the size which is bigger in size, but there are several types, which are not easy to handle, technology is required to handle it. Due to continuous increase in the data in this way, it is important to study and manage these datasets by adjusting the requirements so that the necessary information can be obtained.The aim of this paper is to analyze some of the analytic methods and tools. Which can be applied to large data. In addition, the application of Big Data has been analyzed, using the Decision Maker working on big data and using enlightened information for different applications.

PROJECT ENGINEERING & FEASIBILITY: A BRIEF REVIEW

2020 ◽  
Author(s):  
JAYDIP DATTA
Keyword(s):  
Data Structure ◽  
Energy Efficient ◽  
Management System ◽  
Chemical Engineering ◽  
Operation Management ◽  
Energy Audit ◽  
Industrial Economics ◽  
Industrial Project ◽  
Key Aspects ◽  
Energy Efficient Building

In this Review we will point out some key aspects of Industrial Project Feasibility w.r.t Optimization, Operation Management, Energy Audit necessary to make a project successful . Continued Work : OPTIMISATION: A VIEW FROM INDUSTRIAL ECONOMICS ,DATA STRUCTURE & MANAGEMENT SYSTEM : AN INTEGRATED ,CHEMICAL ENGINEERING : A VIEW FROM MY EXPERIANCE ,. ND FEBBRAIO 2020 , Chapter 6 , Energy efficient building , pp. 58-61

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