Sustainable Engineering and Innovation

Journal Information
EISSN : 2712-0562
Published by: Research and Development Academy (10.37868)
Total articles ≅ 42
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Marin Petrovic, Nejra Isic
Sustainable Engineering and Innovation, Volume 3, pp 112-120; https://doi.org/10.37868/sei.v3i2.id139

Abstract:
One of the most important parts of a wind turbine is a tower. There are various designs of the wind turbine towers, and they are most often made of steel pipes, lattice towers or concrete towers. In order to increase energy density to meet the growing electricity needs, larger wind turbine projects have been developed. Larger wind turbine towers can generate more electricity, but such large sizes also create higher costs in terms of development and maintenance. This research sets up a model of a wind turbine tower, where the load to the tower is calculated by its relation to the wind velocity. Analytical approach coupled with a finite element method (FEM) is used to analyse the distribution of tower stresses under these loads. The fatigue analysis of the column is performed using the load from its own weight, the weight of the housing and the distribution of the wind velocity. The effects of different loads are also compared. The results show that the main loads of the tower are the wind force acting on the area of ??rotation of the wind turbine blades and the moment caused by the uneven wind velocity. Construction is modelled using SolidWorks modelling package, where the analysis was performed using FEM in ANSYS software. As a result of the analysis, the stress distribution in the support was determined and compared with analytical calculations.
Marwa Taha Jasim, Tahseen H. Mubarak, Abdul Samee F. Abdul Aziz
Sustainable Engineering and Innovation, Volume 3, pp 121-129; https://doi.org/10.37868/sei.v3i2.id117

Abstract:
In the current study, nickel-zinc ferrite nanoparticles Ni (1-x) ZnxFe2O4 (X= 0, 0.25, 0.50, 0.75, 1) have been arranged by sol-gel auto combustion and common chemical precipitation methods, The samples were described by x-ray (XRD) deflection, Fourier converts Infrared Spectroscopy (FTIR), dielectric perpetual and dielectric loss element. the XRD analysis confirms the cubic lone phase spinel configuration for all the synthesized materials. Average crystalline size is estimated of the (311) peaks of the x-ray diffractogram using Scherrer’s formulation institute in the range 38.90 to 37.71 nm for sol-gel auto burning method and from 18.61 to 23.41 nm for co-precipitation method. The Fourier transform infrared spectroscopy was studied so as to assert the construction of the spinel phase and to recognize the kind of carbon remaining in the samples. The dielectric fixed and the dielectric loss factor were measured in the range between 50 Hz – 3 MHz at room temperature were located to be reduced with a rise in regularity.
Shahab Kareem, Zhala Jameel Hamad, Shavan Askar
Sustainable Engineering and Innovation, Volume 3, pp 148-159; https://doi.org/10.37868/sei.v3i2.id146

Abstract:
Artificial intelligence through deep neural networks is now widely used in a variety of applications that have profoundly altered human livelihoods in a variety of ways. People's daily lives have become much more convenient. Image recognition, smart recommendations, self-driving vehicles, voice translation, and a slew of other neural network innovations have had a lot of success in their respective fields. The authors present the ANN applied in weather forecasting. The prediction technique relies solely upon learning previous input values from intervals in order to forecast future values. And also, Convolutional Neural Networks (CNNs) are a form of deep learning technique that can help classify, recognize, and predict trends in climate change and environmental data. However, due to the inherent difficulties of such results, which are often independently identified, non-stationary, and unstable CNN algorithms should be built and tested with each dataset and system separately. On the other hand, to eradicate error and provides us with data that is virtually identical to the real value we need Artificial Neural Networks (ANN) algorithms or benefit from it. The presented CNN model's forecasting efficiency was compared to some state-of-the-art ANN algorithms. The analysis shows that weather prediction applications become more efficient when using ANN algorithms because it is really easy to put into practice.
Benjamin Kommey, Seth Kotey, Gideon Adom-Bamfi, Eric Tutu Tchao
Sustainable Engineering and Innovation, Volume 3, pp 92-101; https://doi.org/10.37868/sei.v3i2.id144

Abstract:
Most applications in recent times make use of images one way or the other. As physical devices for capturing images improve, the quality and sizes of images also increase. This causes a significant footprint of images on storage devices. There is ongoing research to reduce the footprint of images on storage. Since storage is a finite resource, the goal is to reduce the sizes of images while maintaining enough quality pleasant to the human eye. In this paper, the design of two lossy codecs for compressing grayscale digital signature images has been presented. The algorithms used either simple thresholding or transform coding to introduce controlled losses into the image coding chain. This was to reduce, to a great extent, the average number of bits per pixel required to represent the images. The codecs were implemented in MATLAB and experiments were conducted with test images to study the performances of the algorithms.
Milan Tripathi
Sustainable Engineering and Innovation, Volume 3, pp 102-111; https://doi.org/10.37868/sei.v3i2.id142

Abstract:
Image denoising is an important aspect of image processing. Noisy images are produced as a result of technical and environmental flaws. As a result, it is reasonable to consider image denoising an important topic to research, as it also aids in the resolution of other image processing issues. The challenge, however, is that the traditional techniques used are time-consuming and inflexible. This article purposed a system of classifying and denoising noised images. A CNN and UNET based model architecture is designed, implement, and evaluated. The facial image dataset is processed and then it is used to train, valid and test the models. During preprocessing, the images are resized into 48*48, normalize, and various noises are added to the image. The preprocessing for each model is a bit different. The training and validation accuracy for the CNN model is 99.87% and 99.92% respectively. The UNET model is also able to get optimal PSNR and SSIM values for different noises.
Mustafa Indžić, Sehabeddin Taha Imeci
Sustainable Engineering and Innovation, Volume 3, pp 73-78; https://doi.org/10.37868/sei.v3i2.id132

Abstract:
In this paper, the design, simulation, optimization and testing of a Microstrip Hybrid 10 dB Wideband Coupler was done. The aim of the project was to introduce a new coupler design and to achieve stable operation for as wide bandwidth as possible. For this proposed design simulated results are as follows: 3.8 GHz Bandwidth and Coupling Amplitude balance of 1 dB across it. Coupler is then produced using LPKF ProtoMat 104s machine and it is tested with Vector Network Analyzer at Istanbul Technical University.
Ahmed S. Nori, Ansam O. Abdulmajeed
Sustainable Engineering and Innovation, Volume 3, pp 79-91; https://doi.org/10.37868/sei.v3i2.id131

Abstract:
This paper is presenting design and implementation of Threefish block cipher on grayscale images. Despite the fact that Threefish block cipher is one of the best secure algorithms, most studies concerning Threefish have focused on hardware implementation and have not commonly been applied on image encryption due to huge amount of data. The main contribution here was to reduce the time and the amount of data to be encrypted while maintaining encryption performance. This objective was achieved by encrypting just the most significant bits of image pixels. A 256-bit plain text blocks of the Threefish was constructed from 2n most significant bits of the pixels, where 0
Ola Hussein Abd Ali Alzuabidi, Ban M. Alameri
Sustainable Engineering and Innovation, Volume 3, pp 139-147; https://doi.org/10.37868/sei.v3i2.id151

Abstract:
This paper presents an overview of the general idea and history of cloud computing in theory. The objective of this review is to draw attention to preceding studies about cloud computing that have common characteristics with the theme of this paper. There were some points discussed in general, including the advantages of this technology, its subjects, security, and the effects of adopting cloud computing in an organization.
Segolene Clemence Marie Mosser
Sustainable Engineering and Innovation, Volume 3, pp 130-138; https://doi.org/10.37868/sei.v3i2.id148

Abstract:
This paper focused on the maintenance problems encountered by industrial vehicles within the Volvo Group. The main goal of the research on this subject was to propose to customers’ a personalized maintenance offer which adapts to their constraints while reducing the impact on the operating costs. To achieve this, a policy has been developed. This policy works on the dynamic gathering of information using both the available monitoring information and the knowledge of the multi-component system. Its objective is to guarantee to the customer the autonomy of its system over given periods of operation while minimizing the total cost of maintenance. The paper showed that the policy developed does indeed reduce the total maintenance cost compared to the previous policy used within the Volvo group. Nevertheless, this policy still has room for improvement.
Muamer Bučo, Sehabeddin Taha Imeci
Sustainable Engineering and Innovation, Volume 3, pp 68-72; https://doi.org/10.37868/sei.v3i2.id133

Abstract:
In this paper, we will present a planar geometry design for a 6dB compact microwave coupler, and will further explore and discuss the results of an electromagnetic simulation in Sonnet® Suites™ Electromagnetic simulation software. Being a compact coupler, the device features a minute circuit footprint size, while still observing the limitations of the production technologies involved in manufacturing it. The technology utilized in the paper is a 4 port microstrip copper trace on a production-friendly and extremely economical FR4 dielectric substrate. The circuit shows excellent performance in a 1.8GHz bandwidth (3.9GHz – 5.7GHz), with a loss of 6dB on the coupled port. A further advantage of this geometry is a very linear and predictable change in the S-parameter values as a result of small linear changes in the geometry
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