Texas Journal of Engineering and Technology
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Implementing Some Mathematical Models of Spiking Neurons
In this project we take various spiking neuron models, which are used in simulation or implementation of different spiking neural network applications; such as brain simulation and engineering problems. Biologically plausible and computational efficiency are the most important factors that will be taken in consideration in order to choose one from the available spiking neuron models. we have HodgkinHuxley Model (HH) is a mathematical model that describes how action potentials in neurons are initiated and propagated. It is a set of nonlinear differential equations it’s normally Biologically plausible then we take three simple models of neurons in rodent brains (RTM, WB and Erisir models). These are similar models to Hodgkin-Huxley Model (HH) but with different parameter values finally Izhikevich Model is biologically plausible. As well as it is computationally efficient, as Izhikevich Model represented by two differential equations .The chosen model should be the best to fit and meet the application specifications. we are discussed these spiking neuron models mathematically and how it could be used in simulating hippocampus. As well as, this project considers valuable comparisons between these models which they are provided according to the biological plausibility, computational efficiency, number of variables and complexity
Choice of Design Model and Calculation Methods Optimization, Design Reliability Evaluation in Elastic and Elastic-Plastic Stages
The bearing capacity of the structure, determined by regulatory documents that limit the use of the plastic properties of the material, turns out to be underestimated. The current practice of optimal structural design (OPD) does not fully take into account the specific requirements (properties) for reinforced concrete structures. In this regard, research aimed at studying the assessment of the optimality and reliability of the structure both in the elastic and in the elastic-plastic stages of the material operation becomes relevant. Therefore, the authors attempt to assess the optimality and reliability of the design, taking into account a number of specific properties of reinforced concrete. In order to objectively assess the state of the structure in the elastic and elastic-plastic stages, a reliability assessment is carried out, which makes it possible to identify the possibilities of meeting the functional and operational requirements of the structure throughout the entire standard service life of the structure. As is customary in reliability theory, one of the main indicators for assessing reliability is the failure-free design, which takes into account the partial or complete loss of the functional properties of the system. The study proceeds from the fact that when solving optimization problems, a redistribution of efforts occurs due to a change (most often a decrease) in the parameters of the section of structural elements, which causes the elements to be predisposed to work in the elastic-plastic stage. The redistribution of forces leads to savings in materials, although inelastic deformations, the formation of cracks, and even partial decoupling of concrete with reinforcement, reduces the rigidity of structural elements. In order to study the design at the stages of both elastic and elastic-plastic, known methods and techniques are use
Important Aspects in the Application of Composite Materials and New Methods of Application
This article describes the methods of applying composite materials, new application processes, disadvantages and solutions to it
Improvement of the Technology of Liquidation of Steel Alloys in A Basic Lined Furnace
In this article, in order to obtain reinforcement products from high – quality steel alloys, the chemical composition of A500C steel alloy was developed. In addition, the mode of liquefaction of steel alloy in an electric arc furnace was considered, and quality cast products were obtained by adding a modifier to the composition of the alloy during the liquefaction process
Skin Cancer Detection Using K-Means Clustering-Based Color Segmentation
Approximately 75% of all cancers are found on the skin. Due to its high mortality rate, Skin cancer (SC) must be treated immediately after detection. SC, in fact, results from abnormalities in the skin's surface. In spite of the fact that most people who have SC make a full recovery, this disease remains a major source of anxiety for the general public. Most SCs develop only locally and invade surrounding tissues, but melanoma, the rarest form of SC, may move throughout the body via the bloodstream and lymphatic system. in this study k mean algorithm and color space has been used to detect melanoma skin cancer. The data set used has been obtained from Kaggle skin cancer collection challenge. The input image has been changed to color space, k mean clustering algorithm was used to cluster the image into three clusters and return an index corresponding to each cluster then the a’b’ layers have been used as image clusters and l layer has been used to detect the exact part of the image
Development of methods for assessing the stability of the contact of car wheels with the road under the action of random disturbances.
One of the important factors affecting road safety is the choice of the optimum in terms of stability and handling of the car, speed of movement on rough roads. The loss of controllability of the vehicle can also occur at low speeds, which is much lower in terms of stability due to the insufficient stability of the wheels in contact with the road
Technology of Planting Seeds
The article presents the results of the technological process of research on the preparation of the soil of the combined aggregate for minimal tillage
To approximate solution to a problem of filtration theory for small values of TIME
The problem of unsteady filtration, which subsequently modeled as a boundary value problem with an unknown moving boundary section. We prove the existence and uniqueness of the solution of the problem in the small
Ga1-xAlxAs nanostructures grown on the GaAs Surface by Ion Implantation
The surface structure and electronic characteristics of nanocrystalline phases and 2-7-nm-thick Ga1-xAlxAs films formed on the GaAs(111) surface by Al+ ion implantation are investigated. The bandgap Eg of the Ga0.5Al0.5As nanocrystalline surface phase 25-30 nm in size is determined to be 2.8-2.9 e
Technology in Microclimate Control for Industrial Buildings: Enhancing Efficiency and Comfort
This article provides a comprehensive literature review on the topic of microclimate control in industrial buildings. It explores the challenges associated with controlling the microclimate in such structures, including temperature extremes, humidity management, and ventilation issues. The review highlights various innovative solutions and techniques for effective microclimate control, such as highefficiency HVAC systems, automation and smart systems, sustainable design strategies, and renewable energy integration. The article emphasizes the benefits of enhanced microclimate control, including increased productivity, improved energy efficiency, and better health and safety conditions. The review concludes by emphasizing the importance of continued research and collaboration in the field to further advance microclimate control in industrial buildings.