Identification and Validation of an Engine Performance Database Model for the Flight Management System

Everyday place descriptions provide a rich source of knowledge about places and their relative locations. This research proposes a place graph model for modeling this spatial, non-spatial, and contextual knowledge from place descriptions. The model extends a prior place graph, and overcomes a number of limitations. The model is implemented using the Neo4j graph database, and a management system has also been developed that allows operations including querying, mapping, and visualizing the stored knowledge in an extended place graph. Then three experimental tasks, namely georeferencing, reasoning, and querying, are selected to demonstrate the superiority of the extended model.

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The selection of calibration parameters of a 1.3 Multijet engine management system in the aspect of engine performance and exhaust gas compositon

Combustion Engines ◽

10.19206/ce-117245 ◽

2008 ◽

Vol 133 (2) ◽

pp. 36-43

Author(s):

Dariusz PIETRAS ◽

Piotr ŚWIĄTEK

Keyword(s):

Management System ◽

Engine Performance ◽

Engine Management System ◽

Exhaust Gas ◽

Test Results ◽

Engine Operation ◽

Passenger Car ◽

Final Selection ◽

Selection Of ◽

Engine Management

The objective of passenger car engine tests performed on engine dynamometers, apart from the aspects of operation and durability, is the development in the range of suitable selection of parameters controlling the engine operation. The final selection of these parameters and their verification take place in the course of the tests accomplished with the use of engine dynamometers. The paper presents and discusses the effects of selected calibrations of 1.3 Multijet engine management system on the parameters of its operation and the composition of the exhaust gases. The accomplishment of that subject-matter resolved itself into testing work on an engine dynamometer to verify selected calibrations of the engine management system, developed on the basis of the experience of the authors acquired during their research performed earlier. Bearing in mind that the engine as the object of the testing serves as a power unit in a passenger car, it was assumed that the selection of the operational points of the engine, for which the tests should be performed on an engine dynamometer, should result from the mapping of the engine operation in the area of selected, characteristic phases of the driving test on a chassis dynamometer. The presented test results, exhaust gas composition and smokiness, as well as the overall efficiency for individual calibrations of the management system were put together in a form of bar graphs.

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Towards a Fuzzy Object-Relational Database Model

Handbook of Research on Fuzzy Information Processing in Databases ◽

10.4018/978-1-59904-853-6.ch017 ◽

2011 ◽

pp. 435-461 ◽

Cited By ~ 19

Author(s):

Carlos D. Barranco ◽

Jesús R. Campaña ◽

Juan M. Medina

Keyword(s):

Relational Database ◽

Management System ◽

Database Management ◽

Relational Databases ◽

Database Management System ◽

Data Types ◽

Relational Database Management System ◽

Database Model ◽

Object Relational ◽

Relational Database Management

This chapter introduces a fuzzy object-relational database model including fuzzy extensions of the basic object-relational databases constructs, the user-defined data types, and the collection types. The fuzzy extensions of these constructs focus on two main flexible aspects, a way to flexibly compare complex data types and an extension of collection types allowing partial membership of its elements. Collection operators are also adapted to consider flexibly comparable domains for its elements. Such a fuzzy object-relational database model, and its implementation in a fuzzy object-relational database management system, provides an easy and effective way to manage a great amount of complex fuzzy data in object-relational databases for emerging fuzzy applications. As a sample of the proposal advantages, an application for dominant color based image retrieval, which is built on an object-relational database management system implementing the proposed fuzzy database model, is introduced.

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FUZZY RELATIONAL DATABASE MODEL AND MANAGEMANT SYSTEM FOR IMPRECISE INFORMATION

Journal of Computer Science and Cybernetics ◽

10.15625/1813-9663/37/2/15346 ◽

2021 ◽

Vol 37 (2) ◽

pp. 145-162

Author(s):

Hoa Nguyen ◽

Nguyen Thi Uyen Nhi ◽

Le Nhat Duy

Keyword(s):

Open Source ◽

Relational Database ◽

Management System ◽

Fuzzy Membership ◽

Membership Degree ◽

Database Model ◽

Imprecise Information ◽

Source Management

This paper introduces a fuzzy relational database model (FRDB) and the management system for it. FRDB is built by extending the classical relational database model with the fuzzy membership degree of tuples in relations. The management system for FRDB with the querying language like SQL is built by using a classical open-source management system.

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