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3234 articles

The System of Non-Tariff Regulation in Russia: Specificity, Problems and Prospects of Development

S. V. Zemlyanskaya, M. V. Novikov
The simplification of the system of foreign trade relations and the provision of preferences to specific states allows increasing the volumes of foreign trade turnover and transforming most efficiently the structure of exports and imports of the country taking into account its international specialization...

Adoption of Management Decision in the Project Financing System

T R Gambarov, R R Bashirzade, U S-E Khakhanaev, A V Pahomova
The article describes the basic methodological provisions of the project approach to financing. They are focused on management decisions on the development, evaluation and implementation of investment projects in the infrastructure of production, especially in logistics, and non-production areas. Attention...
Proceedings Article

Computer Vision-Based Detection and Classification of Welding Defects

Chinthakuntla Meghan Sai, Murarisetty V. Sai Kartheek, Sita Devi Bharatula, Sunil Kumar
Weld quality inspection is vital for ensuring industrial safety and manufacturing reliability, but traditional manual inspection methods are limited by subjectivity, time, and cost. To address these limitations, this paper proposes an automated, real-time solution for weld defect detection and classification...
Proceedings Article

Facial Recognition Reinvented: Deep Learning Based Security Alert System

T. Sridhar Reddy, B. Sujatha, V. G. V. Prasanna Kumar, P. Srihari, M. Devi Harshitha, B. Murali Manohar
The study focuses on unauthorized access, which signifies attack into a device or residence without the owner's consent. This research aims to address access issues through the enhancement of established devices. In the existing system, a combination of Convolutional Neural Network (CNN) was utilized,...

Russia's Oil and Gas Complex: Uncertainty in Development and a Changing Role in the Country's Economy

L. V. Larchenko
This paper aims at analyzing the state of the art in Russia's oil and gas industry, which is now in an uncertain situation due to the unpredictability of oil prices, the sanctions, the geopolitical instability, as well as the industry's changing role in the country's economy and in forming the federal...

Indicators of Food Security in the System of Socio-Economic Diagnostics of the Region

M. E. Buyanova, E. N. Antamoshkina, T. V. Shlevkova
The article assesses the food security of the Volgograd region in 2016. For this, the author's methodology for calculating food security at the regional level is used based on the integral index - the food security index of the region. The following parameters are analyzed: the level of food independence...
Proceedings Article

Group Face Recognition: Identifying and Tracking Multiple Individuals

M. Sri Durga, N. Leelavathy, K. Siva, B. V. N. Surya Prathap, K. Sudheer Babu, E. C. Alex Mondesir
This project introduces a real-time multiple face recognition and tracking system. It utilizes a lightweight yet powerful deep learning model for face Recognition, ensuring efficient performance. The system incorporates a robust tracking algorithm to maintain face identities across video frames, making...

Digitalization of Regional Industrial Complex Technological Processes

V Yu Anisimova, N M Tyukavkin
The process of economy digitalization has become customary in the activities of business entities. Digital technologies increase the operating efficiency, the accuracy of production and other activities, as well as the quality of manufactured products. Currently, the pace of the progress in the area...

Enhanced Integrated Model for Financial Fraud Detection Using Graph Machine Learning

S. Babu, V. Rama Narayanan, T. Nirmal Raj, J. Srinivasan
Fraud in Financial domain bearings a major hazard to financial systems of modern era, causing in significant commercial losses and lessen the trust among the stakeholders. Conventional fraud detection techniques based on traditional algorithms of machine learning habitually fail to identify the compound...
Proceedings Article

A New Digital Test Platform of Micro-Grid System Based on RTDS General Model

Tao Liu, Xudong Wang
This paper presents a micro-grid digital simulation and platform based RTDS. The common distributed generators and energy storage elements are modeled and can be constructed to form the micro-grid. Considering the micro-grid control, the platform builds the PQ control in parallel operation, V/F control...

Advancement of Instrumentation of Balanced Social and Economic Development Through Systemization of Combined State Support and Regional Funds

V V Kovarda
The existing model of territorial administration in Russia is based on the redistribution of income in a benefit of the federal government, and then financial support is provided to the regional administrations using various tools. Thus, with the withdrawal of most of the income from the regions into...
Proceedings Article

Automatic Method To Predict And Classify Cyber Hacking Breaches Using Deep Learning

K. Ramesh, T. V. Prasad, V. Krishna Kanth, V. Sarveswar, S. D. Abrar Ali, M. Vikas Reddy
Analyzing cyber incident datasets is crucial for enhancing our comprehension of the evolving cyber threat landscape. In present generation many cyber hacking breaches taking place. This Application, Examine diverse cyber-attacks and breaches, analyze the methods employed in these incidents, and explore...
Proceedings Article

Sematic Segmentation Of Land Cover Dataset

M. Nikhil Sai, A. Rahul, G. G. V. Praneeth Kumar, P. Visalakshi
A number of disciplines rely heavily on satellite images, including those dealing with land use analysis, urban planning, agricultural monitoring, and the detection of environmental change. Nevertheless, because of differences in scale, illumination, and weather, distinguishing land features from satellite...
Proceedings Article

Color Recognition for NAO Robot Using Sugeno Fuzzy System and Evidence

Than-Long Nuyen, Reda Boukezzoula, Didier Coquin, Stephane Perrin
This paper examines the problem of recognition of col-ored objects for the NAO humanoid robot using camer-as. Based on the ability of fuzzy systems to approxi-mate any mapping, the input-output behavior between the triplet {H, S, V} and the linguistic output colors is represented by a Sugeno fuzzy system....

Moral Indifference as a Social Communication Trend

Andrey V. Mironov
The article discusses the problem of moral indifference and its impact on the social system functioning. The emphasis is laid on the transformation of individual relations into public communication. The social causes of this phenomenon in specific historical periods are analyzed. The article also reveals...

The Segmentation of the Residential Real Estate Market on the Affordability Criterion: Methodical Aspect

P A Muller, K V Chepeleva, Zh N Shmeleva
The article investigates the methodological problems of assessing the affordability of housing. Particular attention is given to the consideration of modern methods for assessing the affordability of residential real estate described in domestic and foreign literature, in official documents. The development...
Proceedings Article

Traffic Classification Using Machine Learning Models in Electromagnetic Nano-Networks

Subba Rao Polamuri, V. S. Naıdu, D. V. Reddy, D. H. Sudha, B. Suphanı, K. V. N. Kumar
The proliferation of Nano-sensors linked to wireless electromagnetic Nano-networks has raised the volume of traffic in numerous ways, but it has also opened up a lot of new opportunities for the Internet of Nano-things. When a nano-network is linked to the Internet by micro or nano gateways, it becomes...

Childhood in Russian Regions: Simulation of Socio-Economic Processes

А. G. Filipova, A. V. Vysockaya
The aim of our study is to build models of socio-economic processes in the Russian regions, which are the background for the achievement of three indicators of the quality of childhood – health, education and spiritual and moral development. The parameters characterizing social and economic processes...
Proceedings Article

One Day Ahead Stream Flow Forecasting

Joao P. Carvalho, Filipe V. Camelo
Short-term stream flow forecasts are required for simulation, optimization, and decision-making purposes in applications ranging from hydropower planning to flood prevention. The particular case of one-day ahead stream flow forecasting is an important but difficult problem that has been increasingly...
Proceedings Article

Multi Crop Disease Detection

M. S. B. Kasyapa, M. Meena, L. Bhanuchander, K. Sandeep, V. Sriram
Agriculture affects people’s lives and financial standing. It provides a significant portion of the GDP and has a large workforce. Crop infections are one of the main issues contributing to farmers’ current crop production losses, which can be attributed to a variety of factors. Naturally occurring diseases...
Proceedings Article

The synthesis of copper complex with 1D chain

Liyan You, Hui Jiang, Chaohong Ma
The complex {[Cu(C9H8O4)(DMSO)2(H2O)2]·(DMSO)2}n (C9H8O4=2-Methyl-1,4-benzenedicarboxylic acid, DMSO = dimethyl sulfoxide)was synthesized by reaction of Cu(NO3)2·3H2O. The crystal structure of the copper(II) complex has been determined and studied by X-ray diffraction. The complex is monoclinic, space...
Proceedings Article

Effects of Spheroidized Microstructure on Bainite Nucleation in SAE 52100 Steel

HongBo Yang, PeiWen Yao, Lei Yang, MingZeng Shao
Annealed SAE 52100 steel samples with different spheroidized microstructures were austempered to produce a bainitic+martensitic duplex microstructure. The effects of the spheroidized microstructure on bainite ferrite (BF) nucleation during austempering were discussed. Results show that the proportion...

The History of Fuel and Energy Complex Interests Lobbying in the Russian Federation in 1990-2000

Ruslan R Vildanov, Artur R Suleymanov, Svetlana V Shalagina, Dinar N Gabbasov, Elnur T Mekhdiev
The article describes the problem of lobbying in the most important sphere of the Russian economy – the oil industry. Features of the emergence of oil companies and lobby groups in Russia are examined in the article. The largest sectoral associations lobbying the interests of oil-industry companies are...

Spec-Graph Contrastive Learning for Early Detection of Hardware Trojans in Open-Source RTL Designs

B. Venkata Shivaiah, N. Siva, Shaik Arshiya Anjum, Greeshma Pothu, V. Rohith, T. Chaitanya
The increasing popularity of open-source hardware has, unfortunately, also made it easier to sneak in malicious changes – specifically, hardware Trojans that can hide really well from normal checks. The usual ways of finding these Trojans often depend on simple structural rules, basic code analysis,...
Proceedings Article

Optimization of ultrasound extraction of Wolfberry Flavonoids and its antioxidant activities

Jianping Zhang, Yonghua Wu, Enqi Liu, Shanglong Chen
The solidtosolvent ratio, ethanol concentration, extraction temperature and extraction time were investigated for extracting total flavonoids from wolfberry. The optimal conditions were found to be extracted at the ratio of material to solvent 1:20 (g/mL), 60 for 40 min with 70% (v/v) ethanol. The D101...

Employee Turnover-Induced Trade Secret Infringement: Key Difficulties in Identification

Ziqin Xu
The accelerating mobility of technical talent and the rising strategic value of data have placed trade-secret protection at the forefront of corporate legal strategy. Yet, a persistent and growing gap has emerged between the robust substantive legal frameworks enacted globally and the frustrating practical...
Proceedings Article

Simulation and optimization of micro power generation process by utilizing urban natural gas pipeline pressure energy

Xiaxi Li, Hui Zhang, Wendong Xu, Linlin Xing, Wei Duan
Transmission pipelines carrying natural gas across long distances often work at high pressures (up to 10 MPa). The high-pressure natural gas is regulated though a throttling device, which results in much waste of pressure energy. Meanwhile, more pressure reducing stations exist the problem of no electric...

E-Medical Insight: Heart and Chronic Kidney Diseases Classification and Prediction

Manju C. Nair, R. Yelvizhi, V. Bhagyasree, K. Dhanalakshmi, Bandey Y. S. C. Nitheesh, V. Asha Judi
It is an intelligent framework of the prediction and classification of heart disease and dynamic kidney disease by implementing advanced machine learning techniques. Both cardiovascular and renal diseases fall under the list of common causes of morbidity and mortality on the planet, and are likely to...

i-STEAM Model: How can inquiry-based learning and STEAM be integrated to Improve students’ science process skills?

Purwanti Widhy Hastuti, Rizki Arumning Tyas, Ekosari Roektiningroem, Nesya Pramitasari
Sustainable development is the development that improves the quality of life. There are 17 goals called SDGs One of the efforts to realize the SDGs is through education namely ESD. The implementation of ESD in science learning is done by IBL and STEAM. Integrating both will develop students’ science...

The Threat to Higher Education: Diplomas Trading

M V Bogatyreva, A E Kolmakov, M I Leskinen
Russia seeks to bridge the gap in the level of education, knowledge and skills of Russian workers and workers from developed countries. The training level of Russian workers is lower. Russia relies on the higher education system which has already created prerequisites for the «catching-up» development....
Proceedings Article

Deep-CNN Based Brain Tumor Classification from MRI Images

Bhukya Shankar, Krishna Dharavath, K. V. Sridhar, E. Chandra Sekhar, P. Chandra Sekhar, G. Ravi Kumar
Brain tumors are deadly and early diagnosis is crucial for successful treatment. Traditionally, radiologists rely on their experience to analyze brain scans, but this can be time-consuming and error-prone, especially with a growing number of patients. This paper presents a fast and efficient deep learning-based...
Proceedings Article

An Intelligent Federated Learning-Enabled Swin Vision Transformer Model for Automated Fetal Abnormality Monitoring and Diagnosis

E. Rajkumar, V. Geetha, J. Jasmine Margret
Early and accurate detection of fetal abnormalities is vital for maternal and neonatal health, yet centralized deep learning models face challenges from privacy concerns and data heterogeneity. This study introduces an Intelligent Federated Learning-Enabled Swin Vision Transformer (Fed-SwinViT) model...

Success and Failures of the Russian Pension Reform

M V Bogatyreva, A E Kolmakov
According to the world experience, it is impossible to balance the federal budget and provide Russians with pensions that would allow them to live with dignity after the end of their working period. Examples are failures that Ukraine and Greece suffered while trying to carry out ambitious retirement...
Proceedings Article

Efficient Preparation of Diuridine P2, P3- (Dihalo) Methylenetetraphosphates

Rui Wang, Shan-Shan Gong
Diuridine P2, P3- (dihalo) methylenetetraphosphates (Up2CF2p2U and Up2CBr2p2U) were synthesized via the activation of P (V) –N bond. The key uridine 5 -phosphoropiperidate intermediate was obtained via a redox condensation method.

How to Support Monotown Industries with Advanced Professionals: Information Model as a Tool for Individual Education Route Design

A A Zakharova, M V Morozova, V G Lizunkov
For many years company towns, or monotowns (i.e. their Russian designation), have been crucial issues for federal and local governments from the point of view of monotowns’ economies diversification, and social and enterprise restructuring. One of the most significant changes may come from industry-university...
Proceedings Article

Implementing an Arduino-Based System to Prevent Collisions and Detect Cracks on Rail Tracks

P. S. V. R. Kiran, Veluru Pavan
In today’s infrastructure, railway transportation systems are essential because safety is key to preventing mishaps and system failures. This work aims to outline the design and implementation of an Arduino-based system intended to detect cracks in railroad tracks and prevent collisions. A number of...

Formation of New Segments of the Market Through Quality Function Deployment of Innovative Production

A. V. Zhebo, A. V. Akeshkov, D. B. Solovev
Last time consumers even more often choose the products balanced on structure or exempted from components which can cause food allergies. But products also need to taste good, and consumers want to know they are eating good food. Transparent, recognizable ingredients are important too. In this regard...
Proceedings Article

Enhancing Productivity Using Flow Process Charts and Value Stream Mapping

Sruthi Shanker Pydimarry, B. V. S. Rao
In the present scenario, markets are becoming highly volatile, and organizations aspire to flourish in an ever-changing and dynamic environment. Due to the rapid change in the current market, the products and services offered by firms should keep up with the pace of technological advancement. While combining...
Conference Abstract

P94 Relationship Between Central Pressure and Potassium Urinary Excretion in a Population-Based Study in Salvador, Brazil, Preliminary Results

Antonio Filho, Lucélia Magalhães, Danielle Brustolim, Diorlene da Silva, Roberta de Castro, Larissa Bessa, VASCOR grupo VASCOR
Pages: S136 - S136
Introduction: Central pressure (CP) has been shown to be more reliable in cardiovascular mortality than peripheral. Previous studies correlate the relationship between CP increase and urinary potassium excretion. Methods: A population-based cross-sectional study representative of a neighborhood of Salvador-Ba,...
Conference Abstract

P93 Relationship Between Central Pressure and Urinary Sodium Excretion in a Population-based Study in Salvador, Brazil, Preliminary Results

Roberta de Castro, Lucélia Magalhães, Danielle Brustolim, Diorlene da Silva, Antonio Filho, Larissa Bessa, Grupo Vascor
Pages: S135 - S135
Introduction: Central pressure (CP) has shown to be more reliable than cardiovascular mortality; salt intake in the diet is directly related to the increase in CP. Methods: A population-based cross-sectional study representative of a neighborhood of Salvador-BA, Brazil, distributed in 12 census tracts...
Proceedings Article

One-pot Hydrothermal Synthesis of Bi2O3/BiVO4 Composites with Highly Efficient Visible-light Photocatalytic Activity

Wentao Yi, Chunyan Yan, Han Zhang, Xiaoxia Wu
Porous peanut-like Bi2O3/BiVO4 composites with different Bi/V molar ratios have been synthesized by a one-pot hydrothermal synthesis method. The samples were characterized by X-ray diffraction (XRD), field-emission scanning electron microscopy (FESEM), UV-vis diffuse reflectance spectra (DRS), Fourier-transform...

Seloko Local Wisdom-Based E-Module Learning to Build the Character of Love for the Homeland in Class V SD

Syahrial, Asrial, Dwi Agus Kurniawan, Naufal Aqila Kusnadi, Agus Fadillah, Putri Sakila Amelia Anwar, Irma Widya Ningsih, Roy Andre Ferdinan
Local wisdom is a community tradition that can produce its own experience and may not be experienced by other communities. One form of Jambi Malay local wisdom is the marriage custom, namely Seloko, which is an old literary form known as an oral tradition that is produced, disseminated and passed down...

Role-Playing Design of the Model of Competences for a Competitive Manager

I B Adova, O V Milekhina
The results of the design and analysis of the role model of the competencies of the manager are reflected to ensure his relevance in the labor market. The theoretical review of the competency models was made on the basis of the consideration of external factors by scientists (globalization, technology...
Proceedings Article

Efficacy of Geosynthetic Reinforcement in Soil Proximate to Sinkhole-Formed Areas in The Kadapa Region: A Comprehensive Study

M. V. Ravi Kishore Reddy, K. Chinnapa Reddy, S. V. Garata Reddy
This presents a detailed investigation into the efficacy of geosynthetic reinforcement in soils collected from regions near sinkhole formations in the Kadapa region. Sinkholes substantially threaten infrastructure and human safety, necessitating innovative engineering solutions for stabilization and...

Historical Aspects of Church Singing in the Field of Cultural Traditions of Russia

A Panicheva, B Ershov, V Fursov
The article discusses the historical aspects of church singing, as well as church singing practice related to the activities of the Orthodox Church in Russia. It is shown that this practice has become a part of the global musical culture and a solid foundation of the national performing choir school....

Integration of Education and Science Through the Organization of Basic Departments and Scientific and Educational Centers

S. Yarusova, N. Ivanenko, V. Makarova
The results of the scientific activity of the Interdepartmental Research and Education Center “Perspective Technologies and Materials” and the basic Department of ecology and ecological problems of chemical technology of Vladivostok State University of Economics and Service in 2015-2017 have been analyzed....
Proceedings Article

High Performance Liquid Chromatographic Optimization Study of Environmental Estrogens

Jingyao Shen, Min Xue
Nine kinds of environmental estrogens including -estradiol, estrone, mestranol, ethisterone, ethinyloestradiol, diethylstilbestrol, cortisone, estriol and hydrocortisone were determined using high performance liquid chromatography (HPLC). The determination conditions were optimized that ProntSIL 120-5-C18-ace-EPS...
Proceedings Article

Performance Evaluation and Optimization of AlFeSi10Mg Alloy Processing Using Data Envelopment Analysis-Based Ranking (DEAR) Technique

K. Devaki Devi, M. NagaPhani Sastry, Kalluru Madhurima
In this work, the performance and efficacy of several experimental runs are evaluated using the DEAR (Data Envelopment Analysis-based Ranking) approach, with an emphasis on materials and process factors for an AlFeSi10Mg alloy system. Laser Energy Density (LED), Specific Energy Density (SED), and Volumetric...

A Study on the Relationship Between Enterprise Risk Management, Free Cash Flow, and Dividend Payout Ratio on Stock Price of Consumer Goods

Nurainun Bangun, Khairina Natsir
“The purpose of the study is to observe verifiable evidence about the effects of Enterprise Risk Management, Dividend Payout Ratio, and Free Cash Flow on the Stock Price of manufacturing companies in the consumer goods sector listed in the Indonesia Stock Exchange for the 2017-2019 period.” The independent...

The Influence of Online Learning Media and Learning Motivation on the Results of Class V Integral Private Vocational School of Hidayatullah Depok

Triyono, Kusmana, Ridwan, Sri, Setlim, Aditya
The research aims to find out (1). Are there differences in science learning outcomes of grade V SD Integral Hidayatullah Depok students who are taught with the Zoom meeting Applicative Media compared to those taught with applied media LMS classroom (2) Is there an interaction between online Applicative...