Proceedings on Engineering Sciences

6

Authors: Snehalatha N, Mohana Kumar S,

The Rapid Industrialization has led to a sudden overwhelming boost in business. With growing advancements in technology and the fast-paced growth of users that have access to said technology everything reaches customers faster. Businesses have also tried their hand at being better at technology and thus boosted growth by appealing to a much larger customer base. Market segmentation is an increasingly important part of a strong marketing strategy and can make all the difference for companies in competitive market landscapes, such as e-commerce. To be in business today means much more than quality of the product and a brand name. It involves the right kind of marketing to the right kind of people. This paper focuses on creating a tool to enable businesses to understand the various customers it has, by segmenting them into groups and providing a detailed statistical model for analyzing where the marketing is needed the most and what would be the best offers the company can afford.

8

Authors: Atul Zope, Raju Kumar Swami, Atul Patil

The purpose of this paper is to identify the various types of lean six sigma (LSS) barriers involved in the assembly process of electric vehicles (EV). An exhaustive literature survey was conducted to identify the critical barriers in LSS implementation. Four main barriers affecting the assembly process are transportation and handling, assembly line processing, EV assembly integration, and human resources and training. The main barriers were further separated into several sub-barriers. The potential solutions to address the sub-barriers are investigated. The implementation of these solutions will help automotive industries to achieve an optimized and economical high volume production, make operations easy, improve process flexibility, and develop human resource essential for the EV assembly process.

8

Authors: Vladimir N Khmelev, Roman Barsukov, Aleksandr Barsukov

The article presents the results of studies aimed at identifying the possibility of using piezoelectric ultrasonic oscillatory systems (USOS), used to form cavitation effects in liquid media, as a sensor for controlling the degree of cavitation erosion of materials for working tools and protective coatings. The studies were carried out on the basis of the analysis of the piezoelectric ultrasonic oscillatory systems (emitters) physical equivalent circuits, formed from electromechanical analogues, taking into account the attached test samples. The results obtained made it possible to confirm the possibility and effectiveness of monitoring the ultrasonic oscillatory system parameters to determine the degree of cavitation destruction of tools and protective coatings, as well as to establish the sensitivity of the proposed control method.

8

Authors: Vladimir Lantsov

A new algorithm is presented to reduce computational costs in solving harmonic balance equations obtained by separating state variables. In the author's previous works, an approach was proposed where the vector (matrix) of unknowns is replaced by two matrices of small dimension, which leads to two systems of balance equations that are solved iteratively. The first equation reduces the number of harmonics in the balance equations, the second equation reduces the number of circuit nodes. In this paper, it is proposed to further reduce computational costs by approximating part of the elements of the balance equations using the decomposition procedure based on singular values. It is proposed to construct a matrix of sets of responses of nonlinear dependencies of circuit models before solving the problem by an iterative method. This matrix reflects all the main changes in nonlinear dependencies with changes in the amplitudes of the input effect and over time. The resulting matrix is then approximated by applying decomposition based on singular values. Comparison of the proposed algorithm with the standard harmonic balance method and algorithms developed by the author earlier showed its high efficiency.

8

Authors: Haitam Ettazi, Najat Rafalia, Jaafar Abouchabaka

In the field of deep learning, a convolutional neural network is a class of artificial neural networks that became dominant in various computer vision tasks, which is widely used to solve complex problems in various areas, including driver assistance systems in the auto- motive field. Convolutional neural networks overcome the limitations of others conventional machine learning approaches since they are designed to automatically and adaptively learn the spatial characteristics of features in an image. In this paper, we are going to evaluate the inference and accuracy of YOLOv5s, for effective traffic sign detection in various environments. The results generated upon five classes gives satisfaction by 63.7% for the mean average precision, and over 80% in accordance to 5 categories set in this study. This article compared to YOLOV4 based CSP-DarkNet53 using Indonesia Traffic Signs generate better precision.

10

Authors: K.Komagal Anupama, C. V. Subramanian

Architecture persistently evolved from the need for shelter and living spaces. Subsequently, this is prominent and reinforced through the knowledge over some time through oral traditions and practices that are time tested and improvised to develop a unique expression termed Vernacular architecture. It is evident from the existing literature that the built environment as a subsystem has the potential to influence and direct behavior among the occupants of the settings. This paper attempts to determine the spatial feature of the vernacular setting in the selected context which has a certain identity and has the potential in inducing specific positive Affect like enthusiasm among the occupants. In pursuit of this, the physical setting feature of the vernacular house Thinnai is studied for its identity of the house in context and its impact in inducing the experience of positive affect enthusiastic effect through a set of data collected by questionnaire survey and semi-structured interview method. The result of the analysis indicates that Physical setting features induce affect when people habituate to the vernacular settings that stand for their identity daily and it confirms the hypothesis that a physical setting has a significant role in inducing Positive affective among the occupants of the vernacular settings.

12

Authors: Vadim A. Chukreev

The research aims to investigate the role of education in the security of the biosocial essence of a person in the implementation of the socio-investment model of economic growth. This research focuses on the concept of the biosocial perspective in the unity of the well-being of humans as a biological species (satisfaction of biological needs) and their position in society (satisfaction of social needs). In the social and investment model of economic growth, the management tool is investments in the increase in the quality ofhigher education services, and the process of human developmentis comprised of biosocial phenomena, social connections (social lifts through obtaining higher education) and context (return of investments in higher education).The authors conducted an econometric study based on correlation analysis. This method is used to determine the relationship between the quality of higher education and official employment, the accessibility of employment and career building for young people (absence of ageism), the gender neutrality of society and the economy, and the absence of poverty. The key conclusion of the research is that the quality of higher education plays an important role in the security of the biosocial essence of a person during the implementation of the socio-investment model of economic growth.This paper also discovered challenges for the engineering of Industry 4.0 technologies, which are connected with the necessity for technologicalsupport for the most successful execution of the role ofthe quality ofeducation in the employment of youth as the central element of ensuring the security ofbiosocial essencein the conditions of the Fourth Industrial Revolution.The novelty of the research lies in the clarification of the causal links between sustainable development and the disclosure of human potential from the perspective of the security of the biosocial essence of a person in support of the implementation of the Sustainable Development Goals (SDGs). The contribution of the research consists of developing a toolkit to implement the socio-investment model of economic growth and thereby improve the manageability and efficiency of this process. The social significance of the research is that it demonstrated the possibility and feasibility and provided a scientific and methodological basis for the systemic implementation of SDG 1, SDG 4, SDG 5, and SDG 8.

14

Authors: Dhrar. M. Hanoon, Qasim A. Aljanabi

The electrothermal method was used to treat soft clay soil under load in this study. The experiment model was adopted to study settlement behavior. The effect of heat on settlement and maximum stress, of soft clay soils, were studied. The variables studied are the distance between the heaters, the heating time, and the temperature of the source. A model was used with dimensions (60 * 40 * 60) cm, and heaters were used in each model, and the power of each heater was 925 watts, and the number of models used was 37 models. The first examination was without heat treatment, and settlement was measured in it directly. As for the rest of the tests, heat treatment was used in it, and the tests were divided into two phases. The first stage is the heat treatment stage, and the second stage is the stage of placing the mechanical load on the soil. The mechanical load is weights placed on the soil through the footing. The tests were divided according to the research structure into three cases and according to the distance between the two heaters (20,30,40) cm. In each case, the tests are conducted according to the heating time, where the heating time was used (4,8,12) consecutive hours, and each time 4 tests were used at different temperatures (200,300,400,500) degrees Celsius. An improvement value of 99.8% in the settlement was obtained when the source temperature was 500°C, with a heating time of 12 hours, and the distance between the heaters was 20 cm. An improvement in maximum stress of 425% was obtained when the source temperature was 500 °C, the heating time was 12 h, and the distance between the heaters was 20 cm. The conclusions of the study are that the settlement decreases with increasing temperature and the ultimate stress increases with increasing temperature.

18

Authors: Evgeniy Pevtsov, Tatiana Demenkova, Alexander Sigov, Alexander Shnyakin, Semyon Moskolenko

This article focuses on software methods for detecting and preventing the introduction of hardware trojans into the topology of integrated circuits at the design stage. An additional recommendation for typical procedures of receiving GDSII files that significantly complicates the introduction of HTs into the topology is to facilitate detection methods by including special self-test structures created after performing transformations of the initial topology and ensuring the effective examination of ICs at the post-manufacture test stage. The proposed method is based on the analysis of synthesis results at the level of netlist description, its subsequent software conversion into a topological drawing, shifting standard cells and filling created voids with special self-test cells. The method is simple to implement during the topology design stage and can be recommended for use in design centres for machine learning of computer-aided design systems.

22

Authors: Vanishree Beloor, T S Nanjundeswaraswamy, D R Swamy

The study aimed in identifying Green supply chain critical success factors, develop and validate the framework through integrated approach of ISM, MICMAC and SEM so as to promote green practices throughout the supply chain activities in Indian manufacturing sectors. Interpretive structural modelling(ISM) is applied to develop hierarchical contextual relationship among identified critical success factors via Pareto analysis. The methodology then follows classification of success factors into four clusters by Matrice d’ Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) and statistical validation of the ISM model through Structural Equation Modelling(SEM) by AMOS. In this study, 16 critical success factors of Green supply chain practices for manufacturing industries were identified, followed by development of an ISM model using 16 critical success factors, later the model was statistically verified that identified nine CSF’s responsible for generating SEM model by satisfying all the model fit indices.The linkage variables identified are Green manufacturing, Green Procurement, Green marketing and Distribution, Green purchasing, Supplier cooperation, Customer cooperation, Environmental strategies and management, Environmental Participation and Green training that are forming the driving force for practicing green supply chain. Research limitations/implications: The results of the study are restricted to manufacturing industries, which might vary when applied for other sectors. The developed model on green supply chain management practices would help policy makers, decision makers, researchers and industry professionals to anticipate potential success factors to implement green supply chain practices. Accordingly, the focus on critical success factors would be prioritized for obtaining better performance of supply chain and greening the chain.