scholarly journals Mechanisms for optimizing procurement activities in construction based on cost management of contract works

2020 ◽  
Vol 217 ◽  
pp. 11011
Author(s):  
Ilnur Kharisov ◽  
Iuliia Artamonova ◽  
Pavel Bilenko ◽  
Sergey Sborshikov
Keyword(s):  
Time Frame ◽  
Quality Parameters ◽  
Internal Rate Of Return ◽  
Construction Work ◽  
Construction Costs ◽  
Second Stage ◽  
Constant Quality ◽  
Required Quality

The problem of optimizing procurement activities is one of the most important at the enterprises of the construction complex, since it allows saving financial resources and reducing the time of work with constant quality parameters. As a rule, based on the results of the procurement, an agreement is concluded with the supplier that offered the lowest price. This methodology does not allow evaluating the proposed price options in terms of finding reserves to reduce construction costs, since This technique does not reveal all the hidden “pitfalls” that “unscrupulous contractors” lay when conducting tenders. Often, the customer of a construction project becomes hostage to the “low price”, at which it is necessary either to increase the price, or to increase the terms, or to change the contractor organization. The solution to this problem can be a new methodology for preparing tender documents, which assumes the classification of types of work in the form of a hierarchical structure and the determination of cost by type and code of work. This makes it possible to make a comparative assessment of contractors’ proposals in the context of individual cost items and to determine the average price based on the results of the tender. At the second stage of the competitive procedure, contractors are asked to optimize their bids to the level of the average or the lowest price, if they are higher, and to keep the offered price, if it was the lowest. Often contractors work with “usual” suppliers and stop monitoring the market for the best price. The use of this technique leads to minimization of the costs of contracting work both for the customer at the expense of the minimum price and for the contractor by identifying the potential for price reductions, and also allows the customer to obtain the required volume of construction work of the required quality within the planned time frame without reducing the internal rate of return of the contracting company organizations.

scholarly journals Improved Classification of Fetal Abnormalities using Automated ABC ANFIS Classifier

2019 ◽  
Vol 8 (6S2) ◽  
pp. 833-839
Keyword(s):  
Ground Truth ◽  
First Trimester ◽  
Second Stage ◽  
Bee Colony ◽  
First Trimester Pregnancy ◽  
Last Stage ◽  
Anfis Classifier ◽  
Test Picture

Early determination of fetal irregularities can be performed utilizing a legitimate screening technique. The screening may at some point look as a thorough one for therapeutic specialists. Thus, mechanization with manual investigation gives better help to endoscopist in discovering the strange fetal pictures. In this paper, we consider a robotized order of fetal irregularities amid first trimester pregnancy period utilizing Artificial Bee Colony (ABC) and Hybrid ANFIS. At first, the picture is pre-prepared to expel the clamor and other appearance exhibit in crude picture dataset. In the second stage, an ABC calculation is utilized to section the picture into marks in light of district-based division. In the last stage, the picture names are grouped utilizing half and half ANFIS classifier, which utilizes marks from the past stage as its info. This robotized grouping model orders the phase of variation from the norm utilizing ground truth esteem. The proposed characterization display is tried with Substantial fetal test picture datasets and it is contrasted with existing calculations with demonstrating its adequacy in identifying the fetal anomalies.

scholarly journals FT-Raman and chemometric tools for rapid determination of quality parameters in milk powder: Classification of samples for the presence of lactose and fraud detection by addition of maltodextrin

2016 ◽  
Vol 196 ◽  
pp. 584-588 ◽  
Author(s):  
Paulo Henrique Rodrigues Júnior ◽  
Kamila de Sá Oliveira ◽  
Carlos Eduardo Rocha de Almeida ◽  
Luiz Fernando Cappa De Oliveira ◽  
Rodrigo Stephani ◽  
...  
Keyword(s):  
Rapid Determination ◽  
Milk Powder ◽  
Fraud Detection ◽  
Quality Parameters ◽  
Chemometric Tools ◽  
Ft Raman

scholarly journals NMR-Based Metabolic Profiling of Edible Olives—Determination of Quality Parameters

Molecules ◽  
2020 ◽  
Vol 25 (15) ◽  
pp. 3339 ◽  
Author(s):  
Stavros Beteinakis ◽  
Anastasia Papachristodoulou ◽  
Georgia Gogou ◽  
Sotirios Katsikis ◽  
Emmanuel Mikros ◽  
...  
Keyword(s):  
Metabolic Profiling ◽  
Processing Parameters ◽  
Quality Parameters ◽  
Correlation Spectroscopy ◽  
Production Trend ◽  
First Time ◽  
Food Commodity ◽  
Of Greece

Edible olive drupes (from Olea europaea L.) are a high-value food commodity with an increasing production trend over the past two decades. In an attempt to prevent fraud issues and ensure quality, the International Olive Council (IOC) issued guidelines for their sensory evaluation. However, certain varieties, geographical origins and processing parameters are omitted. The aim of the present study was the development of a method for the quality assessment of edible olives from the Konservolia, Kalamon and Chalkidikis cultivars from different areas of Greece processed with the Spanish or Greek method. A rapid NMR-based untargeted metabolic profiling method was developed along with multivariate analysis (MVA) and applied for the first time in edible olives’ analysis complemented by the aid of statistical total correlation spectroscopy (STOCSY). Specific biomarkers, related to the classification of olives based on different treatments, cultivars and geographical origin, were identified. STOCSY proved to be a valuable aid towards the assignment of biomarkers, a bottleneck in untargeted metabolomic approaches.

THE ESSENCE, THE NEED FOR EVALUATION AND TYPES OF ECONOMIC POTENTIAL OF ENTERPRISES

2017 ◽  
Author(s):  
Olexandr Yemelyanov ◽  
Keyword(s):  
Economic Activity ◽  
Business Strategies ◽  
Enterprise Management ◽  
Value Assessment ◽  
Economic Potential ◽  
Enterprise Value ◽  
Development Assessment ◽  
State Of The Environment

The formation of business strategies of enterprises should be based on a preliminary assessment of their current and future economic opportunities. Such an assessment is to establish the value of the total economic potential of enterprises and its individual varieties. The purpose of this study was to clarify the essence of the economic potential of enterprises, justify the need for its evaluation and selection of its types. The main approaches to interpreting the terms "potential" and "enterprise potential" are identified. These include resource, result, resource-result, resource-target, and result-target concepts. It is established that the potential of any object, including the enterprise, can be interpreted as a set of its external functional properties, which this object shows or can show in a certain state of the environment in which it is located. Accordingly, the assessment of the potential of an object should be based on the identification and determination of its external properties, taking into account the environment in which the object is located. The main situations in which there is a need for information about certain components of the economic potential of the enterprise are identified, and the types of this potential and the consumers of the information about their level, corresponding to these situations, are determined. In particular, such situations include management of production and sales, management of financial and economic results of the enterprise, management of enterprise development, assessment of the company's need for various types of resources, assessment of enterprise value, assessment of current and future impact of the enterprise on the economy of the country (region), etc. The features of classification of types of enterprise potential existing in the scientific literature are supplemented by the following ones: by the main types of economic activity, by the dynamics of changes in the economic and production system of the enterprise, by consequences for the subject of enterprise potential assessment, by the stages of economic activity, enterprise potential, etc. The obtained results make it possible to improve the understanding of the complex patterns that underlie the formation of the economic potential of enterprises.

State Failure and the Political Violence Phenomenon: A Comparative Analysis of Iraq and Syria Cases

2016 ◽  
Vol 4 (2) ◽  
pp. 170 ◽  
Author(s):  
K. Eylem Özkaya Lassalle
Keyword(s):  
Cold War ◽  
Political Violence ◽  
State Failure ◽  
The Political ◽  
Collective Violence ◽  
Short Run ◽  
Definition Of ◽  
The Cold War

The concept of failed state came to the fore with the end of the Cold War, the collapse of the USSR and the disintegration of Yugoslavia. Political violence is central in these discussions on the definition of the concept or the determination of its dimensions (indicators). Specifically, the level of political violence, the type of political violence and intensity of political violence has been broached in the literature. An effective classification of political violence can lead us to a better understanding of state failure phenomenon. By using Tilly’s classification of collective violence which is based on extent of coordination among violent actors and salience of short-run damage, the role played by political violence in state failure can be understood clearly. In order to do this, two recent cases, Iraq and Syria will be examined.

The Frequency of Occurrence of Handwriting Performance Features Used to Predict Whether Questioned Signatures are Simulated

2018 ◽  
Vol 28 ◽  
pp. 35-42
Author(s):  
David Black ◽  
Bryan Found ◽  
Doug Rogers
Keyword(s):  
Large Population ◽  
Quality Parameters ◽  
Frequency Of Occurrence ◽  
Relative Speed ◽  
Simulation Process ◽  
Spatial Features ◽  
And Performance ◽  
Document Examiners ◽  
Line Trace

Forensic Document Examiners (FDEs) examine the physical morphology and performance attributes of a line trace when comparing questioned to specimen handwriting samples for the purpose of determining authorship. Along with spatial features, the elements of execution of the handwriting are thought to provide information as to whether or not a questioned sample is the product of a disguise or simulation process. Line features such as tremor, pen-lifts, blunt beginning and terminating strokes, indicators of relative speed, splicing and touch ups, are subjectively assessed and used in comparisons by FDEs and can contribute to the formation of an opinion as to the validity of a questioned sample of handwriting or signatures. In spite of the routine use of features such as these, there is little information available regarding the relative frequency of occurrence of these features in populations of disguised and simulated samples when compared to a large population of a single individual’s signature. This study describes a survey of the occurrence of these features in 46 disguised signatures, 620 simulated signatures (produced by 31 different amateur forgers) and 177 genuine signatures. It was found that the presence of splices and touch-ups were particularly good predictors of the simulation process and that all line quality parameters were potentially useful contributors in the determination of the authenticity of questioned signatures. Purchase Article - $10

Method of determination of the text direction on the image with the use of convolutional neural network

2020 ◽  
pp. 96-99
Author(s):  
P.L. Nikolaev
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Deep Neural Network ◽  
Binary Classification ◽  
Synthetic Data ◽  
Real Data ◽  
Method Of Determination ◽  
Classification Of Images

This article deals with method of binary classification of images with small text on them Classification is based on the fact that the text can have 2 directions – it can be positioned horizontally and read from left to right or it can be turned 180 degrees so the image must be rotated to read the sign. This type of text can be found on the covers of a variety of books, so in case of recognizing the covers, it is necessary first to determine the direction of the text before we will directly recognize it. The article suggests the development of a deep neural network for determination of the text position in the context of book covers recognizing. The results of training and testing of a convolutional neural network on synthetic data as well as the examples of the network functioning on the real data are presented.

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