Journal of Engineering Research最新文献

{"title":"Importance of murals in beautifying residential buildings and their impact on urban aesthetics","authors":"Mona A. Eltokhy ,&nbsp;Hisham S. Gabr ,&nbsp;Mohamed A. Zayed","doi":"10.1016/j.jer.2023.09.032","DOIUrl":"10.1016/j.jer.2023.09.032","url":null,"abstract":"<div><div>Murals have been associated with architecture and urbanism throughout human history with its various civilizations. They are at the heart of the fabric of architecture and urbanism and participate fundamentally in the embellishment of their building facades. The importance of urbanism lies in what murals offer in terms of different themes that make them capable of changing the feeling about buildings and beautifying their facades. Murals are considered one of the most important visual determinants in any space in addition to their role as an element of aesthetics necessary for any architectural entity. They are also used to express the social and cultural identity of societies and are a powerful means of linking the past and present and documenting the most important events affecting society and its inhabitants. This research paper provides an analysis of the different aspects that must be taken into account when designing murals in urban areas. Design considerations, scientific and technical standards that govern the basics of mural design, and how they should be employed as one of the elements of space in an integrated system that designers should consider when drawing murals according to a concept that is consistent with architecture and urbanism. The research aims to achieve the foundations of mural design by designing and implementing murals in residential cities that improve the behavior of residents. In this paper the aim of this research is to explore the basics of designing murals by implementing them in residential areas. The goal is to improve the behavior of residents through the use of these murals. The research hypotheses are that modifying or adding design principles to existing murals in residential areas can improve public taste and lead to better behavior among residents. And finally, we add an attempt to develop a strategy and principles for designing and implementing murals in a coordinated manner on the facades of urban buildings according to a proposed classification for beautifying cities and positively influencing people’s behavior.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 587-598"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134936392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hydra: An ensemble deep learning recognition model for plant diseases","authors":"S. Pudumalar,&nbsp;S. Muthuramalingam","doi":"10.1016/j.jer.2023.09.033","DOIUrl":"10.1016/j.jer.2023.09.033","url":null,"abstract":"<div><div>Indian agriculture contributes about 17% to the total GDP and employs over 60% of the population. Due to the subjectiveness and time-consuming nature of manual approaches to disease detection, large or small-scale farming faces many challenges. Cotton diseases such as Areolate, Mildew, Sore Shin, Fusarium, Wilt, and Myrothecium hugely affect crop yield. The Hydra framework-based ensemble deep learning model proposes to conduct symptom-wise recognition for cotton disease. Hydra Framework is an ensemble method of Convolution Neural Network (CNN) and VGG16 model with SoftMax function and ReLU (Rectified Linear Unit) that improves the performance of CNN by removing the negative values obtained from each layer of feature extraction. A real-time field study from Thadikombu village, Dindigul District, Tamil Nadu, is considered. The data augmentation technique is used to overcome the overfitting issue, thereby enlarging the available dataset. With 15,600 images containing healthy and diseased leaves, the ensemble Hydra model achieved an accuracy of 95% for recognizing diseases and was validated with pictures collected from Thadikombu village, Dindigul District, Tamilnadu. A comparison is made with the results obtained from the proposed Ensemble Hydra model with CNN and fine-tuned VGG model. Results showed Ensemble Hydra model was a helpful tool for recognizing cotton diseases.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 781-792"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134994576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Wireless power transfer using electronic textiles: A comparative review","authors":"Showrov Rahman ,&nbsp;Marjan Al Haque ,&nbsp;Mohammad Solaiman ,&nbsp;Rashed Hasan Ratul ,&nbsp;Istiak Ahmed ,&nbsp;Shawana Tabassum ,&nbsp;Izabela Ciesielska-Wrobel","doi":"10.1016/j.jer.2024.02.008","DOIUrl":"10.1016/j.jer.2024.02.008","url":null,"abstract":"<div><div>Wireless power transfer (WPT) has already been established as a popular technology in multiple areas such as electric vehicle charging, smartphone charging, or powering bio-medical implants. In recent years, wireless power transfer in electronic textiles (e-textiles) or smart textiles has seen rapid growth with the advancement of textile materials and flexible electronic components. Although many reviews and surveys on WPT can be found in the literature for other popular fields, this is not the case for the application of WPT in e-textiles. To address this issue, a comparative review of previous literature on WPT in e-textiles is presented in this paper. The textile-based WPT systems have been categorized according to their transmitter (Tx) and receiver (Rx) properties, Tx and Rx fabrication technique, applied substrate, operating frequency, power level, and achieved efficiency. The tabular analysis of different parameters acts as a platform for researchers, manufacturers, and industry personnel to acquire information and data for evaluating different textile-based WPT systems. The opportunities and challenges of WPT applications in e-textiles have also been discussed in detail to give an overview of the prospects of this field.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 806-824"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139966523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coupled influences of magnetic field and several thermal loads on vibration of thermoelastic nano-ceramic (Si3N4) beam","authors":"Najat A. Alghamdi","doi":"10.1016/j.jer.2024.02.014","DOIUrl":"10.1016/j.jer.2024.02.014","url":null,"abstract":"<div><div>Our study investigates the vibration of a thermoelastic nano-ceramic (Si3N4) beam exposed to a magnetic field under the effect of a moving heat source and different types of thermal loads. These nanobeams are modeled as non-Fourier heat conduction. In our formulation, the equation of motion and the principle of energy conservation from two coupled partial differential equations have been driven. A direct approach has been used to find the solutions to the governing equations using the Laplace transform definition. Numerical Laplace transform inversion was calculated using Hoing's approximation approach. Solutions have been applied to silicon nitride (Si3N4) nanobeam ceramics. Figures show the distribution of temperature increment, lateral deflection, and stress with different values of magnetic field and several thermal load parameters. In all the studied nanobeam functions, the magnetic field and several thermal loads’s parameters have significant effects. They could be used as tuners to control the vibration and temperature increment. In the present study, a moving heat source, and different thermal loads have been applied to a non-Fourier nanobeam exposed to a magnetic field. The results have been compared with those obtained in the thermoelastic cases.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 916-930"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140462810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation of optimal feature for milling chatter identification using supervised machine learning techniques","authors":"Rohit Mishra,&nbsp;Matta S.N.S. Kiran,&nbsp;Manikantadhar Maheswaram,&nbsp;Akshat Upadhyay,&nbsp;Bhagat Singh","doi":"10.1016/j.jer.2023.100138","DOIUrl":"10.1016/j.jer.2023.100138","url":null,"abstract":"<div><div>In order to overcome the complex mathematical models and tedious analytical skills and improve the machining performance, various effective methods have been developed using time domain, frequency domain and time and frequency domain-based features. However, the selection of these features can be difficult, and results can be alleviated if it is wrongly selected. This study proposes a methodology that helps identify the optimal feature from eight time-domain statistical features using supervised machine learning algorithms. In this work, 44 milling experiments have been performed and labelled as chatter, transient, and stable states by observing the tool-machining condition. Subsequently, the eight time-domain-based features, i.e. mean, variance, peak-to-peak, root mean square, crest factor, form factor, kurtosis and skewness, have been calculated. After that, four machine learning techniques, i.e., random forest, gradient boosting, support vector machine and logistic regression, were utilized, and their accuracy score was 92.86 %, 96.8 %, 94.8 % and 91 %, respectively. After that, their feature score was evaluated to investigate the effectiveness of all 8 time domain-based features. Feature scores for mean, variance, peak-to-peak, root mean square, crest factor, form factor, kurtosis and skewness are 0.28, 0.25, 0.11, 0.095, 0.085, 0.08, 0.065 and 0.035, respectively. The outcome of this research is that peak-to-peak time domain-based features, along with gradient boosting, can extract chatter features in the presence of an extraneous noisy signal.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 950-962"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76921587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coal-rock drilling states recognition of drilling robot for rockburst prevention based on multi-sensor information fusion","authors":"Zhongbin Wang,&nbsp;Lei Si,&nbsp;Dong Wei,&nbsp;Jinheng Gu,&nbsp;Fulin Xu","doi":"10.1016/j.jer.2023.08.004","DOIUrl":"10.1016/j.jer.2023.08.004","url":null,"abstract":"<div><div>Accurate recognition of coal-rock drilling sates is a prerequisite for achieving intelligent drilling pressure relief. In this paper, a novel coal-rock drilling states recognition method of drilling robot for rockburst prevention is proposed. Firstly, different coal-rock drilling signals are collected and processed by using improved antlion optimization (ALO) algorithm and variational mode decomposition (VMD). Meanwhile, the elite opposition-based learning (EOL) strategy is used to improve the global search ability and optimization performance of ALO, and the EOL-ALO is developed and employed to automatically search the optimal key parameters of VMD. Subsequently, the root mean square of frequency and kurtosis are used to extract the feature information from the decomposed signals and the singular value decomposition method is employed to reduce the dimensionality of high-dimensional feature vectors. Furthermore, an improved D-S evidence theory is developed to fuse the recognition results of support vector machine through a single sensor information and the fusion recognition framework of coal-rock drilling states is designed. Finally, a coal-rock drilling experimental platform is established and some experimental analysis is carried out. The experimental results indicate the feasibility and superiority of proposed coal-rock drilling states recognition method.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 878-885"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83187524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Single-Walled Carbon Nanotube (SWCNT) thin films via automatic spray coating and nitric acid vapor treatment","authors":"Arulampalam Kunaraj ,&nbsp;P. Chelvanathan ,&nbsp;Ahmad Ashrif A Bakar ,&nbsp;Iskandar Yahya","doi":"10.1016/j.jer.2023.07.002","DOIUrl":"10.1016/j.jer.2023.07.002","url":null,"abstract":"<div><div>In the realm of optoelectronics to produce thin film, SWCNT (Single-Walled Carbon Nanotube) is a promising alternative to Indium Tin Oxide (ITO). However, it is still challenging to manufacture SWCNT thin film that is low-cost, homogenous and has minimal sheet resistance. In this work, SWCNT thin films were deposited by using the automated spray coating method. To enhance the film quality and optoelectronic characteristics, post-deposition treatment through nitric acid vapor was carried out. The optimized SWCNT thin films exhibited optical transparency in the range of 60.4% at 800 nm and sheet resistance of 6.6 Ω/square. The sheet resistance of our fabricated SWCNT thin films was lower than the value of ITO films (10 Ω/square), putting forth evidence which suggests the potential of SWCNTs as an alternative to ITO.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 825-831"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77388314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"SCAMORSA-1: A camber-morphing wind turbine blade with sliding composite skin","authors":"Peter L. Bishay,&nbsp;Toby McKinney,&nbsp;Garrett Kline,&nbsp;Maria Manzo,&nbsp;Arthur Parian,&nbsp;Derenik Bakhshi,&nbsp;Andrew Langwald,&nbsp;Abraham Ortega,&nbsp;Matthew Gagnon,&nbsp;Gerbert Funes Alfaro","doi":"10.1016/j.jer.2024.04.006","DOIUrl":"10.1016/j.jer.2024.04.006","url":null,"abstract":"<div><div>Wind turbines form an increasingly important source of renewable and sustainable energy. Traditional rigid wind turbine blades are unable to control the flow of air over their surfaces, resulting in higher loads and lower aerodynamic efficiency at non-optimal wind speeds and angles of attack. This paper presents the design of SCAMORSA-1 (“Sliding CAmber- MORphing Skin Action”), a camber-morphing turbine blade in a small scale Horizontal Axis Wind Turbine (HAWT) for increased aerodynamic efficiency and improved extreme load alleviation. The blade is linearly tapered and comprises three sections: a conventional rigid section, a morphing section, and a fixed blade tip, all covered by functionally graded composite skin. Measured from the root, the rigid section spans 0%-60% of the total blade length and its profile transitions at 20% from SD7062 thick airfoil to the thinner SD7037 airfoil. The rigid section includes carbon fiber composite spars that resist flap-wise bending. The morphing section occupies the next 30% of the span with SD2030 airfoil profile and can seamlessly change camber angle up to 10°. This section is composed of three hybrid ribs connected via two leading-edge composite spars and a trailing-edge synchronizing rod. Each hybrid rib has a solid leading-edge segment connected to a flexible trailing-edge segment via T-slots. The trailing-edge segment, where morphing occurs, is an enhanced version of the corrugated FishBAC design, with hexagonal honeycomb infill that increases the out-of-plane stiffness and allows for morphing deformation without internal buckling. Two of these hybrid ribs have servomotors housed in the leading-edge segment. These integrated actuators in the hybrid ribs actuate flexible carbon fiber ribbons that run through slits in the trailing-edge segment to morph it. At the trailing-edge portion of the morphing section, the composite skin transitions to a thin flexible layer that can slide over the deforming trailing-edge segment via skin sliders. Computational simulations were performed to quantify the performance gains and ensure safe operation of all components. A proof-of-concept model of SCAMORSA-1’s morphing section was manufactured and tested to demonstrate the effectiveness of the design.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 931-940"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140774437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A decision support system for sustainable supplier selection problem: Evidence from a radiator manufacturing industry","authors":"Mahmuod Torabi Jefroudi ,&nbsp;Soroush Avakh Darestani","doi":"10.1016/j.jer.2024.03.014","DOIUrl":"10.1016/j.jer.2024.03.014","url":null,"abstract":"<div><div>Supplier selection is the basis of a successful supply chain. It is also a key factor in improving the competitiveness of an organization. Being a complex process, the supplier selection plays an important role in upgrading the supply chain. The purpose of this research is to present an integrated approach based on fuzzy best-worst method (BWM) and failure mode and effects analysis (FMEA) for sustainable supplier selection considering seasonal quantity discounts and supplier risk for a radiator manufacturing company. Therefore, as the aim implies, this study addresses how organizations develop a sustainable supplier selection framework by integrating linear programming and decision-making in presence of seasonal discounts. To this end, fuzzy BWM and FMEA were employed to calculate weighting factors for different selection criteria and evaluate the supplier risk, respectively. Then, suppliers were ranked using the so-called technique for order of preference by similarity to ideal solution (TOPSIS). Finally, the discount type was examined by the LP-metric method. Results of the fuzzy BWM showed that the customer satisfaction was the criterion of highest priority, followed by long-term relationship, and then pollution control, among the total of 13 criteria considered in this work. Outputs of the TOPSIS referred to the supplier 3 as the top-ranked supplier, followed by supplier 6 and then supplier 1.</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 867-877"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143216049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficient resource allocation through CNN-game theory based network slicing recognition for next-generation networks","authors":"Franciskus Antonius","doi":"10.1016/j.jer.2024.01.018","DOIUrl":"10.1016/j.jer.2024.01.018","url":null,"abstract":"<div><div>Fifth generation (5G) and sixth generation (6G) networks are examples of next-generation networks that need higher levels of safety, lower latency, and more capacity and dependability. Reconfigurable wireless connection slicing becomes essential for satisfying these sophisticated networks' requirements, enabling many network instances on the same hardware to improve Quality of Service (QoS). Nonetheless, the centrally managed resource allocation for network slicers presents difficulties, particularly as the quantity of User Equipment (UEs) increases. This puts pressure on Radio Resource Management (RRM) and makes slice customization more difficult. In order to address these issues, this study presents an organizational radio resource distribution architecture in which the neighborhood radio resource managers (LRRMs) receive sub channel allocations from the RRM in slices, and the LRRMs then distribute the assigned capabilities to the corresponding UEs. The suggested model, which runs in MATLAB, uses an original method called CNN-Game Theory to achieve an exceptional 98 % accuracy, outperforming CNN-LSTM, RNN, DeepCog, and DHOA by 29.27 %. This method combines ideas from game theory with neural network weight optimization to produce an improved model with increased efficiency and accuracy. Many experiments illustrate how effective this method is and how it can be used to improve different machine learning applications. Metrics like slice type utilization, average packet delay for each LTE/5G category, and others are used to assess game optimization for resource allocation</div></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":"12 4","pages":"Pages 793-805"},"PeriodicalIF":0.9,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139635655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}