scholarly journals Information systems in geotechnics

2022 ◽  
Vol 355 ◽  
pp. 02030
Author(s):  
Aleks Diveev ◽  
Gennadii Boldyrev
Keyword(s):  
Test Data ◽  
Surface Relief ◽  
Input Data ◽  
Information Modeling ◽  
Automated Systems ◽  
Data Field ◽  
Subsequent Calculation ◽  
Sensitivity Indicator ◽  
Foundation Structure ◽  
Geotechnical Model

The article considers the information modeling of buildings together with the foundation within the information system and the stages of its implementation. The workflow for building a 3D geotechnical model includes surface relief data, field and laboratory test data, soil lithology, geometric characteristics of the foundation structure and load. Automated systems with processing and interpretation of test data are used to determine the characteristics of soils. Mathematical modeling of the behavior of the foundations of the foundations with various input data is performed using analytical solutions and numerical methods. The natural heterogeneity of soil properties and its impact on the behavior of buildings is estimated by the sensitivity indicator of the foundation-foundation system by introducing virtual workings between the existing normative ones and the subsequent calculation of the precipitation and roll of the foundation.

Simulation of Performance Deterioration of a Microturbine and Application of Neural Network to Its Performance Diagnosis

2008 ◽  
Author(s):  
Jae Eun Yoon ◽  
Jong Joon Lee ◽  
Tong Seop Kim ◽  
Jeong Lak Sohn
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Test Data ◽  
Input Data ◽  
Data Sets ◽  
Characteristic Parameters ◽  
Performance Diagnosis ◽  
The Neural Network ◽  
Performance Deterioration ◽  
Artificial Neural

This study aims to simulate performance deterioration of a microturbine and apply artificial neural network to its performance diagnosis. As it is hard to obtain test data with degraded component performance, the degraded engine data have been acquired through simulation. Artificial neural network is adopted as the diagnosis tool. First, the microturbine has been tested to get reference operation data, assumed to be degradation free. Then, a simulation program was set up to regenerate the performance test data. Deterioration of each component (compressor, turbine and recuperator) was modeled by changes in the component characteristic parameters such as compressor and turbine efficiency, their flow capacities and recuperator effectiveness and pressure drop. Single and double faults (deterioration of single and two components) were simulated to generate fault data. The neural network was trained with majority of the data sets. Then, the remaining data sets were used to check the predictability of the neural network. Given measurable performance parameters (power, temperatures, pressures) as inputs to the neural network, characteristic parameters of each component were predicted as outputs and compared with original data. The neural network produced sufficiently accurate prediction. Reducing the number of input data decreased prediction accuracy. However, excluding up to a couple of input data still produced acceptable accuracy.

scholarly journals IFCWALL RECONSTRUCTION FROM UNSTRUCTURED POINT CLOUDS

2018 ◽  
Vol IV-2 ◽  
pp. 33-39 ◽  
Author(s):  
M. Bassier ◽  
R. Klein ◽  
B. Van Genechten ◽  
M. Vergauwen
Keyword(s):  
Point Cloud ◽  
Input Data ◽  
Initial Point ◽  
Point Clouds ◽  
Information Modeling ◽  
Point Cloud Data ◽  
Ongoing Research ◽  
Cloud Data ◽  
Building Information ◽  
Wall Geometry

The automated reconstruction of Building Information Modeling (BIM) objects from point cloud data is still ongoing research. A key aspect is the creation of accurate wall geometry as it forms the basis for further reconstruction of objects in a BIM. After segmenting and classifying the initial point cloud, the labelled segments are processed and the wall topology is reconstructed. However, the preocedure is challenging due to noise, occlusions and the complexity of the input data.<br>In this work, a method is presented to automatically reconstruct consistent wall geometry from point clouds. More specifically, the use of room information is proposed to aid the wall topology creation. First, a set of partial walls is constructed based on classified planar primitives. Next, the rooms are identified using the retrieved wall information along with the floors and ceilings. The wall topology is computed by the intersection of the partial walls conditioned on the room information. The final wall geometry is defined by creating IfcWallStandardCase objects conform the IFC4 standard. The result is a set of walls according to the as-built conditions of a building. The experiments prove that the used method is a reliable framework for wall reconstruction from unstructured point cloud data. Also, the implementation of room information reduces the rate of false positives for the wall topology. Given the walls, ceilings and floors, 94% of the rooms is correctly identified. A key advantage of the proposed method is that it deals with complex rooms and is not bound to single storeys.

scholarly journals Wireless Video Sharing Secara Real Time Menggunakan Streaming Engine

2018 ◽  
Vol 3 (1) ◽  
pp. 16
Author(s):  
Suherman Suherman ◽  
Abd Rabi’ ◽  
Anggraini Puspita Sari
Keyword(s):  
Real Time ◽  
Test Data ◽  
Packet Loss ◽  
Input Data ◽  
Wireless Video ◽  
Output Data ◽  
Video Sharing ◽  
Wireless Fidelity

Berkembangnya era dan teknologi khususnya di bidang telekomunikasi sangat pesat, kebutuhan akan media telekomunikasi seperti penyiaran video secara real time merupakan prioritas utama dalam proses belajar mengajar, pengumuman berita dan sebagainya, komunikasi nirkabel yang efisien dan menghemat waktu. dalam penggunaannya Penelitian ini menggunakan kamera pada smartphone sebagai media input data yang dapat digunakan untuk pengguna dan menggunakan wifi (wireless Fidelity) sebagai komunikasi nirkabel, media transfer dan data trasmisi, dan penggunaan pada notebook sebagai media pengolahan data berupa video yang akan ditampilkan. pada monitor secara real time sebagai media output data yang telah di input oleh pengguna melalui smartphone kamera dalam bentuk video dengan berbagai format resolusi video mulai dari 480, 680 dan 720, dan hasil test data keluaran berupa video yang dengan menggunakan variabel delay, throughput dan packet loss, hasil dari pengujian variabel dengan menggunakan format video 480, 680 dan 720 menghasilkan rata-rata delay tercepat adalah 0.003738977 ms dan terlama adalah 0.00529923 ms, pada troughput tertinggi menghasilkan rata-rata 1.179 Mbps dan terendah 0.128 Mbps, pada packet loss tertinggi 17.6 % dan terendah 6.54 %.

scholarly journals The Features of the Technique of Practical Training on “Fundamentals of Simulation of Automated Systems» Discipline

2019 ◽  
pp. 21-24
Author(s):  
Alexander Rodionov ◽  
Alexander Zhuchkov ◽  
Victoria Pekut
Keyword(s):  
Input Data ◽  
Random Number ◽  
Random Number Generator ◽  
Practical Training ◽  
Network System ◽  
Careful Study ◽  
Number Generator ◽  
Automated Systems ◽  
Data Set ◽  
Simulation Results

The paper deals with the content and methods of practical training in “Fundamentals of Simulation of Automated Systems”discipline. The relevance of the work is due to ever-growing requirements for the design of protected information systems, which are a class (subsystem) of automated systems. The level of mathematical training of students, and especially undergraduates, is significantly different. This leads to the need for the careful study of methods of lectures and especially practical training in the discipline. With multiple simulations of the network system, it is possible to accumulate statistics on the output scalars and thus compare the parameters of the system at different times. This is necessary because the network model is stochastic and depending on the initial values of the input data set by the random number generator, different simulation results can be obtained.

AUTOMATED SEARCH OF SOFTWARE ERRORS BY FAZZING METHOD

2019 ◽  
pp. 67-70
Author(s):  
V. A. Minaev ◽  
A. V. Mazin ◽  
G. S. Baidin
Keyword(s):  
Information Security ◽  
Open Source ◽  
Test Data ◽  
Error Detection ◽  
Data Input ◽  
Automated Systems ◽  
It Effectiveness ◽  
Cyclic Operation ◽  
Incorrect Data

The paper considers fuzzing as a promising method of testing and error detection in software using the input of incorrect data to programs. Classification of the automated systems of errors search in the software with indication of their shortcomings is made. The substantiation of errors search advantages under the name Driller is given. The stages of Driller cyclic operation are considered including test data input, actual fuzzing, mixed execution and fuzzing repetition. It is emphasized that the Driller is an open source project. In addition, attention is drawn to the possibility of the specified program to eliminate the «exponential explosion» of considered execution paths number, and it effectiveness at a multiplicity of crossings between the paths of the program under test. It was shown that the Driller allows to effectively solve the problems of information security.

scholarly journals BIM integration in education: A case study of the construction technology project Bolt Tower Dolni Vitkovice

2017 ◽  
Vol 12 (2) ◽  
pp. 113-120 ◽  
Author(s):  
Vaclav Venkrbec ◽  
Lucie Bittnerova
Keyword(s):  
Input Data ◽  
Information Model ◽  
Information Modeling ◽  
Construction Technology ◽  
Building Information Model ◽  
Diploma Thesis ◽  
Technology Project ◽  
Design Documentation ◽  
Building Information

Abstract Building information modeling (BIM) can support effectiveness during many activities in the AEC industry. even when processing a construction-technological project. This paper presents an approach how to use building information model in higher education, especially during the work on diploma thesis and it supervision. Diploma thesis is project based work, which aims to compile a construction-technological project for a selected construction. The paper describes the use of input data, working with them and compares this process with standard input data such as printed design documentation. The effectiveness of using the building information model as a input data for construction-technological project is described in the conclusion.

scholarly journals Generating Big Numbers for Testing Multi-Digit Arithmetic Algorithms

2021 ◽  
pp. 39-56
Author(s):  
Andrii Tereshchenko ◽  
Valeriy Zadiraka
Keyword(s):  
Distributed Systems ◽  
Test Data ◽  
Input Data ◽  
Arithmetic Operations ◽  
Data Dependencies ◽  
Input And Output ◽  
The Difference ◽  
Time Required ◽  
Two Parameters

Introduction. The emergence of new parallel computational systems, such as multi-core processors, clusters, distributed systems, is due to the solution of various applied problems in various fields. The difference between devices for which parallel algorithms are implemented causes a variety of existing methods for parallelizing the calculation of multi-digit arithmetic operations. There is a problem of developing universal algorithms for implementing multi-digit arithmetic operations that are efficiently performed on various devices and on various systems. Very often it is not possible to develop a new algorithm, since at this stage there is still no test data with which it is possible to analyze the result of calculation. Therefore, the task of preparing test data and results is no less important than the development of the algorithm itself. The quality of the prepared data determines the quality of the implemented algorithm and the time required to find and eliminate errors in the algorithm-program and its implementation. In this paper, some simple dependencies are given, using which you can visually check the correctness of the calculation of multi-digit operations of addition, subtraction, multiplication, multiplication by modulo and exponentiation by modulo. Simple algorithms for generating input and output multi-digit data are presented. Using dependencies allows to check the integrity of the output when delegating computations to distributed systems such as cloud computing. The purpose of the article is to show simple dependencies between the input data and the results of performing multi-digit operations of addition, subtraction, multiplication, multiplication by modulo and exponentiation by modulo. For the given dependencies, methods for generating input and output multi-digit numbers are shown, which can be used to check the correctness of the calculation of multi-digit operations, which significantly saves the time required for preparing test data. Dependencies are provided in a generic way, which allows you to generate input data and results for devices that operate on words of different lengths (8, 16, 32, 64, 128, 256, etc. bits). Results. The dependences between the input data and the results of performing multi-digit operations are analyzed. The provided dependencies are proved in the form of lemmas. The dependencies are presented in a general form, since to generate multi-digit sequences, it is needed to set two parameters: N – the number of digits in the multi-digit value and n – the length of the digits in bits. The examples show the generation of input data and results for various multi-digit operations. Conclusions. The paper presents dependencies that are easy to remember and use for visual verification of the results of multi-digit calculations without using additional or special software or hardware, which allows to devote the saved time to developing new or more efficient modifications of multi-digit algorithms. Keywords: multi-digit arithmetic, parallel computational model.

AUTOMATIC TEST DATA GENERATION FOR PROGRAM PATHS USING GENETIC ALGORITHMS

2002 ◽  
Vol 12 (06) ◽  
pp. 691-709 ◽  
Author(s):  
PAULO MARCOS SIQUEIRA BUENO ◽  
MARIO JINO
Keyword(s):  
Test Data ◽  
Input Data ◽  
Initial Population ◽  
Test Data Generation ◽  
Data Generation ◽  
Random Data ◽  
Dynamic Technique ◽  
Path Testing ◽  
Automatic Test Data Generation ◽  
A New Technique

A new technique and tool are presented for test data generation for path testing. They are based on the dynamic technique and on a Genetic Algorithm, which evolves a population of input data towards reaching and solving the predicates along the program paths. We improve the performance of test data generation by using past input data to compose the initial population for the search. An experiment was done to assess the performance of the techniques compared to that of random data generation.

Actuation of Control System for Racing Engine Using Active Data Maps

2014 ◽  
Vol 611 ◽  
pp. 304-310
Author(s):  
Roman Tonhajzer ◽  
Michal Puškár ◽  
Melichar Kopas ◽  
Eva Faltinova ◽  
Pavol Čopan
Keyword(s):  
Control System ◽  
Input Data ◽  
Fuel Injection ◽  
Combustion Engines ◽  
Input Information ◽  
Specialized Software ◽  
Data Field ◽  
Active Data

The modern systems developed for a control of ignition and fuel injection in the racing piston combustion engines require a continuous supplementation of the input information, together with permanent monitoring and correction of these input data. Such operations are performed by means of specialized software, which is able to decode the maps of active data fields as well as to modify them afterwards in the framework of the required values. The correct editing of the data field enables a faster and more accurate distribution of the active values.

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