SELECTION OF CONTROLLABLE PARAMETERS OF THE BINARY DATA ARRAY DETECTION ALGORITHM IN THE INTEGRATED MANAGEMENT SYSTEM

2021 ◽  
Vol 4 (3) ◽  
pp. 11-18
Author(s):  
Khakimjon Zaynidinov ◽  
◽  
Odilbek Askaraliyev
Keyword(s):  
Management System ◽  
Binary Data ◽  
Integrated Management ◽  
Research Work ◽  
Hash Functions ◽  
Experimental Tests ◽  
Detection Algorithm ◽  
Identification Algorithm ◽  
Solution Algorithms ◽  
Selection Of

The article discusses the selection of parameters for the algorithm for determining binary data arrays included in the control system, developed by the authors using independent substitution methods. Based on the analysis of the algorithms of non-cryptographic hash functions, the hash function based on the linear matching method was selected as the basis for independent substitution methods. Simplified schemes of algorithms developed for creating and comparing identifiers using a set of basic hash functions are given. An array of binary data was selected and based on the appropriate values for the size of the divisible blocks and the number of basic hashfunctions used for independent substitutions. The selection of binary data arrays in information systems integrated into the management system was done for the purpose of intellectual processing of incoming data. The properties of the array of data entering integrated systems are studied. The authors conducted experimental tests in the selected direction and presented the results of similarity assessment measurements for various parameters of the identification algorithm. In addition, the article conductedexperiments on the object of study using the selected mathematical model, based on the analytical conclusions. Initiator elements are studied and analyzed using a set of hash functions. An algorithm for comparison of selected identifiers has been developed. A generation algorithm has been developed to demonstrate and test the proposed solution. Algorithms based on analysis and experiments, and methods for selecting binary data arrays using the ash function have been experimentally tested. Based on the results, the indicators are shown. Based on the results obtained, the analytical conclusions and problem solutions of the research work were recognized

Modelling of Materials Management System for Cross-country Pipeline Project from Client’s Perspective

Metamorphosis ◽  
2021 ◽  
pp. 097262252110072
Author(s):  
D. K. Choudhury
Keyword(s):  
Management System ◽  
Research Work ◽  
Cost Overrun ◽  
Materials Management ◽  
Gujarat State ◽  
Project Construction ◽  
Pipeline Project ◽  
Inspection Policy ◽  
Cross Country ◽  
Selection Of

In managing a pipeline construction project, the selection of vendors, the procurement of materials, developing optimum inspection policy, planning and managing the inflow of materials at different point of time, managing desired level of inventory, proper storage of materials, managing outflow of materials backed up with flow less transportation process and minimizing of wastages at the construction site are big challenges faced by all clients of a cross-country pipeline project. Therefore, on this backdrop, an attempt has been made to construct a materials management system that is applicable for the construction of a cross-country pipeline project. In this context, the objective of this research work is to model the materials management system by applying different methods to take care of vendor selection, materials inspection, materials storage, materials transportation, controlling stock, and managing wastage of materials at the project construction. The methods used for conducting this research work are Garret’s rating technique, and physical system theory (PST). After reviewing different problems faced by the Morbi–Mundra pipeline project team of Gujarat State Petronet Ltd (GSPL), it is expected that the model developed would remove problems faced by GSPL and would facilitate different clients of a pipeline project to complete the project without any time and cost overrun.

scholarly journals A detection metric designed for O’Connell effect eclipsing binaries

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Kyle B. Johnston ◽  
Rana Haber ◽  
Saida M. Caballero-Nieves ◽  
Adrian M. Peter ◽  
Véronique Petit ◽  
...  
Keyword(s):  
Binary Data ◽  
Large Scale ◽  
Metric Learning ◽  
Detection Algorithm ◽  
Eclipsing Binaries ◽  
Eclipsing Binary ◽  
Signature Extraction ◽  
Large Scale Data ◽  
Scale Data ◽  
Selection Of

Abstract We present the construction of a novel time-domain signature extraction methodology and the development of a supporting supervised pattern detection algorithm. We focus on the targeted identification of eclipsing binaries that demonstrate a feature known as the O’Connell effect. Our proposed methodology maps stellar variable observations to a new representation known as distribution fields (DFs). Given this novel representation, we develop a metric learning technique directly on the DF space that is capable of specifically identifying our stars of interest. The metric is tuned on a set of labeled eclipsing binary data from the Kepler survey, targeting particular systems exhibiting the O’Connell effect. The result is a conservative selection of 124 potential targets of interest out of the Villanova Eclipsing Binary Catalog. Our framework demonstrates favorable performance on Kepler eclipsing binary data, taking a crucial step in preparing the way for large-scale data volumes from next-generation telescopes such as LSST and SKA.

scholarly journals Defining the Thermal Features of Sub-Surface Reinforcing Fibres in Non-Polluting Thermo–Acoustic Insulating Panels: A Numerical–Thermographic–Segmentation Approach

2021 ◽  
Vol 6 (9) ◽  
pp. 131
Author(s):  
Kaixin Liu ◽  
Stefano Perilli ◽  
Arsenii O. Chulkov ◽  
Yuan Yao ◽  
Mohammed Omar ◽  
...  
Keyword(s):  
Research Work ◽  
Experimental Tests ◽  
Woven Fabrics ◽  
Hemp Fibres ◽  
Segmentation Approach ◽  
Thermal Features ◽  
Panel Effects ◽  
Non Destructive ◽  
Insulation Performance ◽  
Selection Of

Natural fibres present ozone-friendly solutions in the field of construction. The attenuation of the sound and heat losses is an important feature in such type of materials above all, when used in non-woven fabrics and fibre-reinforced composites. Hemp fibres show robust insulation performance; this research work should be considered beneficial to the development of a non-destructive thermographic methodology, which can address the thermal barrier (typically applied on multi-layer panel) effects. The intent is to assess the integrity of the sub-surface reinforcing glass fibres; such integrity state will help confer the rigidity and the resistance to mechanical stresses. The testing proposed in this study can be further developed in a laboratory right after the manufacturing process of similar type of components. The testing needs preliminary numerical simulations to help guide the selection of the appropriate pre- and post-processing algorithms combined with or without segmentation operators. A set of numerical and experimental tests were performed through controlled thermal stimulation while recording the thermal responses. The study also highlights the advantages, disadvantages, and future development of the presented technique and methodologies.

Integrated FAHP-VIKOR model for green supplier selection in a Nickle coating SME

2020 ◽  
pp. 133-139
Author(s):  
Sanatan Ratna ◽  
B Kumar
Keyword(s):  
Staff Training ◽  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Research Work ◽  
Supplier Evaluation ◽  
Green Supplier Selection ◽  
The Past ◽  
Coating Industry ◽  
Sustainability Issue ◽  
Selection Of

In the past few decades, there has been lot of focus on the issue of sustainability. This has occurred due to the growing concerns related to climate change and the growing awareness about environmental concerns. Also, the competition at global level has led to the search for the most sustainable route in the industries. The current research work deals with the selection of green supplier in a Nickle coating industry based on certain weighted green attributes. For this purpose, a hybrid tool comprising of Fuzzy AHP (Fuzzy Analytical Hierarchy) and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) is used. The Fuzzy AHP is used for assigning proper weights to the selected criteria for supplier evaluation, while VIKOR is used for final supplier selection based on the weighted criteria. The three criterions for green supplier selection are, Ecological packaging, Corporate socio-environmental responsibility and Staff Training. The outcome of the integrated model may serve as a steppingstone to other SMEs in different sectors for selecting the most suitable supplier for addressing the sustainability issue.

BIM Technologies In Building Construction Projects Management In Russia

2019 ◽  
pp. 48-59
Keyword(s):  
Project Management ◽  
Economic Efficiency ◽  
Technology Implementation ◽  
Management System ◽  
Construction Projects ◽  
Technology Development ◽  
Integrated Management ◽  
Building Construction ◽  
Information Modeling ◽  
Project Management System

The international experience of integrating building information modeling (BIM) into project management system with innovation implementation accent has been revealed in this article. The events carried out on federal and regional levels concerning the President of Russia directive on building construction industry modernization and construction objects transferring to life cycle management by means of BIM were analyzed. The large company experience of implementing BIM was summarized with describing some examples in different cities and regions of our country and thus the main directions of this technology development were determined. The key points of BIM and project management system pairing and impacting an innovation choice witch determine the project economic efficiency in the integrated management system were shown. The main reports of "Building construction projects technology and management: new practices and prospects" conference by Moscow Trade and Commerce Chamber were reviewed in this direction and problems of the new investment and construction project management technology implementation were shown. The ways to solve these problems were disclosed by work examples of PAO "Sberbank", and successfully working in our country firms Bilfinger Tebodin - BIM design and Beiten Burkhard -jurisdiction support. Some economic efficiency questions of BIM implementation were disclosed in the report delivered by The Plekhanov University of Economics (project and program management base department of Capital Group). Management system suggestions, regarding BIM implementation in Moscow construction were given.

Energy Management of Electromechanical Systems on the Board of a Ship

2020 ◽  
Vol 26 (3) ◽  
pp. 14-19
Author(s):  
Laurențiu Bogdan Asalomia ◽  
Gheorghe Samoilescu
Keyword(s):  
Energy Management ◽  
Management System ◽  
Integrated Management ◽  
Integrated Management System ◽  
Management Actions ◽  
Energy Flows ◽  
Reduce Emissions ◽  
Technical Solutions ◽  
Productive Time

AbstractThe paper analyzes, starting from the Integrated Management System, the role of automation, the role of the officer and the role of the Energy Management System on board the ship. The implementation of an EnMS establishes the structure and discipline of identifying energy flows, implementing management actions and, finally, applying technical solutions, which significantly reduce energy costs, reduce non-productive time in production, and reduce emissions. of Greenhouse Gases in the environment. The steps to be highlighted in the realization of energy management are analyzed.

Knowledge Management System Among Onion Farmers Using Ict In Perambalur District Of Tamil Nadu

GIS Business ◽  
2020 ◽  
Vol 14 (6) ◽  
pp. 1147-1155
Author(s):  
J.Nithya Jayaseeli ◽  
T. Devi
Keyword(s):  
Knowledge Management ◽  
Management System ◽  
Tamil Nadu ◽  
Research Work ◽  
Knowledge Management System ◽  
Adoption Process ◽  
Farming Community ◽  
Ict Adoption ◽  
Information And Communication ◽  
Production Form

The purpose of this study is to examine how Knowledge level augmented parameters impact on the effective adoption of information and communication technology (ICT) by onion farmers in Perambalur district of Tamil Nadu. Data were gathered from a focus group made up of 60 Farmers in Perambalur district. The paper finds that a willingness of indigenous ICT users is particularly influenced by the recognition and incorporation of visible social imperatives during the adoption process. Research limitations/implications – The outcome of this study highlights important issues for ICT adoption. One particular area that must be taken into consideration is the adoption channel. Perceptions of ICT adoption will differ significantly among adopters. For this reason, the need for developing an appropriate adoption channel that ensures successful diffusion of the innovation should be recognized. The paper also demonstrates that Knowledge Management System among farmers using ICT to yield more profit in onion Production form knowledge distributed by the experts. Hence the research work carried out to acquire, represent, and distribute the knowledge Management system to the Farming community.

New approaches to improving enterprise management systems using international models and standards in a digital transformation environment

2020 ◽  
pp. 24-29
Author(s):  
V.V. Silaeva ◽  
◽  
V.P. Semenov ◽  
Keyword(s):  
Management System ◽  
Integrated Management ◽  
Digital Transformation ◽  
International Standards ◽  
System Model ◽  
Management Systems ◽  
Enterprise Management ◽  
Integrated Management System ◽  
New Approaches ◽  
Iso 31000

The relevance of creating integrated management systems for enterprises in a digital transformation environment is proved. New approaches to improving the management system in accordance with the new European excellence model (EFQM 2020) and international standards for achieving sustainable success and risk management are described. Approach to the development of integrated management system model based on the new EFQM 2020 model and international standards such as ISO 9004:2018 and ISO 31000:2018 is offered.

Research on the framework of university ideological and political education management system based on artificial intelligence

2021 ◽  
pp. 1-10
Author(s):  
Xuying Sun ◽  
Yu Zhang
Keyword(s):  
Artificial Intelligence ◽  
Political Theory ◽  
Outlier Detection ◽  
Management System ◽  
Detection Algorithm ◽  
Colleges And Universities ◽  
Ideological And Political Education ◽  
Political Education ◽  
Data Simulation ◽  
Artificial Intelligence Technology

The importance of the management of ideological and political theory courses in colleges and universities is objective to the importance of ideological and political theory courses. At present, the management of ideological and political theory courses in colleges and universities has big problems in both macro and micro aspects. This paper combines artificial intelligence technology to build an intelligent management system for ideological and political education in colleges and universities based on artificial intelligence, and conducts classroom supervision through intelligent recognition of student status. The KNN outlier detection algorithm based on KD-Tree is proposed to extract the state information of class students. Through data simulation, it can be known that the KD-KNN outlier detection algorithm proposed in this paper significantly improves the efficiency of the algorithm while ensuring the accuracy of the KNN algorithm classification. Through experimental research, it can be seen that the construction of this system not only clarifies the direction of management from a macro perspective, but also reveals specific methods of management from a micro perspective, and to a certain extent effectively solves the problems in the management of ideological and political theory courses in colleges and universities.

Sign in / Sign up

Export Citation Format

Share Document