Texas Journal of Engineering and Technology
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Automation of quality control at oil factories (improvement of oil quality).
Full text linkIn this study, a model of automation of the quality control system of the organization of the construction of highly dangerous and technically complex objects was developed. The model uses the original and updated databases of general and special work logs, as well as the database of attestationpermitting documents and the established connections between them
Neural Network Model of Energy Saving of Combined Drum Dryer
Full text linkThis article is devoted to the construction of a neural network model for predicting the electricity consumption of a combined dryer. The neural network model was carried out in the Neural Networks Toolbox package in Matlab. The adequacy of the built model was determined and compared with the experimental results
Use Of Bim Technologies in Designing Construction Structures of Buildings
Full text linkThe article discusses the effectiveness of using modern programs in the design of construction structures of buildings and structures. The purpose of this work is to analyze modern software components of BIM technologies. The article presents a mutual comparison of programs for improving the calculation of building structures. These programs allow to reduce the period of development of project documents for the construction of buildings and structures, and also provide a complete set of calculations of various structures that contribute to the efficient work of builder-designers
Results of the Survey of the Technical Condition of A NineStorey Reinforced Concrete Frame Public Building
Full text linkThis article presents the results of a comprehensive survey of a nine-story reinforced concrete frame public building. In this case, non-destructive testing methods were used to assess the stress-strain state of the bearing elements. To calculate the bearing capacity and resistance to seismic loads of such buildings, the real strength of concrete and the consumption of reinforcement in structures are required. Based on the data obtained, the building was calculated for the first and second limit states in accordance with the current regulatory documents and, based on their results, practical recommendations were issued to ensure the seismic resistance of this buildin
Pipe corrosion recognition through image processing using fault detector robot
Full text linkIn industrial literature, damages that occurred due to various reasons on the material are called corrosion. Corrosion cause fatigue and failure of systems and other risks such as financial losses for replacing the system, leakage and pollution of contacted products. In accessible surfaces corrosion detection is done easily, but in cases such as tanks, pipes and particularly long tubes, there is no access to the inside of the pipes so more complex systems are needed. In this research, a new approach is proposed to detect corrosions in industrial pipes. The proposed method is based on image processing algorithms hence it is a kind of non-destructive inspection method. The proposed method offers a new innovative processing algorithm to identify corrosion and also provides a proper lighting method. For this purpose, first the correct lighting system is performed , then obtained images from inspection would be preprocessed for detection phase. Preprocessing step includes color format changing, denoising and smoothing operations. Then corrosions are identified by edge detection algorithms and amount of it, is estimated by morphological operations
Deep Learning's Impact on MRI Image Analysis: A Comprehensive Survey
Full text linkModern deep learning technology is without a doubt catalyzing a transformative revolution across various critical domains, including image analysis, natural language processing, and expert systems. It stands as an indispensable technique with a profound potential for shaping future applications. Recently, Magnetic Resonance Imaging (MRI) has garnered substantial attention due to its non-invasive attributes and its remarkable ability to provide intricate soft tissue contrasts within the body. Leveraging the significant advancements in deep learning, researchers have proposed ingenious approaches to augment the processing and analysis of MRI images. This article endeavors to present a comprehensive overview of how deep learning is being effectively employed for MRI image processing and analysis. The narrative commences with a succinct introduction to the fundamental concept of deep learning, followed by an elucidation of the diverse imaging modalities employed within the realm of MRI. Subsequently, the article delves into a comprehensive exploration of prevalent deep learning architectures. Building upon this foundation, the article navigates through a diverse array of applications made possible by harnessing deep learning within the domain of MRI. This encompassing exploration includes an emphasis on fundamental deep learning techniques, the transfer of knowledge between varying domains, classification paradigms, as well as the intricate domain of image segmentation. However, the article's exploration does not conclude here; it extends to deliberating on the strengths and limitations inherent in widely adopted tools. Additionally, it introduces specific deep learning tools that have been meticulously tailored to cater to the unique demands of MRI applications. In the final stretch, the article provides an impartial assessment of the role and impact of deep learning within the context of MRI. It also offers insightful projections into the landscape of future advancements and emerging trends. With a discerning eye on the trajectory ahead, the article articulates the immense potential for deep learning to significantly advance MRI image analysis, solidifying its pivotal role as a leading-edge technology shaping the landscape of medical imaging. In summation, the fusion of deep learning techniques with MRI analysis is poised to bring forth transformative advancements. The amalgamation of these disciplines stands to propel the boundaries of MRI image analysis, redefining the horizons of medical imaging while fortifying deep learning's status as a cornerstone technology driving this evolutio
Importance of algae
Full text linkThis article provides information about types, diversity, morphological structure, reproduction methods, living environment, cellular structure, and their importance in human life and on eart
Bioecology of the Monkey (Rubus) Genus and Species Introduced to Uzbekistan
Full text linkThe article is devoted to the topic “The family of monkeys brought to Uzbekistan, the bioecology of the species.” Introduces the genus of Rubus and the bioecology of the specie
Procedure For Use of Groundwater for Irrigation of Agricultural Crops
Full text linkSystematic use of surface and underground water along with surface water is one of the important resources for increasing the production of agricultural products, obtaining a high yield and dramatically improving the melioration of irrigated land
Development of Speech and Motor Processes in Children with Dysarthria
Full text linkThe article discusses the etiology, symptoms and mechanisms of dysarthria, as they are represented primarily in the development of speech and motor processes in children with dysarthria. It has been shown that the features of speech motor skills are caused by impaired functioning of those motor nerves that are involved in articulatio