Journal of Engineering Research最新文献

{"title":"Effects of Variations in Speed and Cutting Blade Projection on Performance and Conformity of Slice Thickness to the Adjustment of the Cutting Blade Projection of Motorised Cassava Slicer","authors":"Kodwo A. Budu, E. Bobobee, K. A. Aikins, A. K. Arkoh","doi":"10.1016/j.jer.2024.07.004","DOIUrl":"https://doi.org/10.1016/j.jer.2024.07.004","url":null,"abstract":"","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141844639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A qualitative data analysis for investigating barriers of knowledge sharing and transfer in power station projects sector at Kuwait Ministry of Electricity and Water and Renewable Energy","authors":"Dalal AlMashaan, Rufaidah AlMaian","doi":"10.1016/j.jer.2024.07.009","DOIUrl":"https://doi.org/10.1016/j.jer.2024.07.009","url":null,"abstract":"","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141853095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of maximized utility benefit based on customer willingness for economic operation of a grid connected microgrid system","authors":"Bishwajit Dey, Arnab Pal, Raj Jadav, Sahil Kadiwala, Alok Kumar Singh, Soham Dutta","doi":"10.1016/j.jer.2024.07.007","DOIUrl":"https://doi.org/10.1016/j.jer.2024.07.007","url":null,"abstract":"","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141848187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Energy Efficient Clustering Algorithm Based on Density and Fitness for Mobile Crowd-sensing Network","authors":"Hao Li, Hongwei Wang, Kaiyu Wang, Tonghui Qu, X. Ren, Jun Ma","doi":"10.1016/j.jer.2024.07.011","DOIUrl":"https://doi.org/10.1016/j.jer.2024.07.011","url":null,"abstract":"","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141852186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Power plant induced-draft fan fault prediction using machine learning stacking ensemble","authors":"Tlamelo Emmanuel ,&nbsp;Dimane Mpoeleng ,&nbsp;Thabiso Maupong","doi":"10.1016/j.jer.2023.10.001","DOIUrl":"10.1016/j.jer.2023.10.001","url":null,"abstract":"<div><p>The improvement of fault prediction and diagnosis in industrial systems is crucial to minimize unscheduled shutdowns. However, the predictive performance of current models for thermal power plants is limited due to their reliance on single algorithm approaches. Furthermore, there is a shortage of experiments on thermal fired power plant equipment, as most research focuses on nuclear power plants. In this study, we propose a fault predictive stacking approach for a thermal power plant induced draft fan and evaluate the performance of base learners, including Support Vector Machines (SVM), K Nearest Neighbors (KNN), and Random Forests (RF). Our proposed stacking ensemble approach achieved a prediction accuracy of 99.89 % which demostrated superior prediction performance compared to the base methods.</p></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2307187723002614/pdfft?md5=60e360fe12983419252052622116ff61&pid=1-s2.0-S2307187723002614-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134934304","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":"Proposal for providing secure Zoom meeting through Corona pandemic","authors":"Rasha S. Ali ,&nbsp;Rajaa K. Hasoun ,&nbsp;Inas Fadhil Jaleel ,&nbsp;Ghassan H. Abdul-Majeed","doi":"10.1016/j.jer.2023.10.015","DOIUrl":"10.1016/j.jer.2023.10.015","url":null,"abstract":"<div><p>The Zoom program is widely used to manage meetings around the world, but it is easy to leak the associated Personal Meeting ID. The present study aims at improving the security for Zoom meetings during the transmission process. A new encryption algorithm is proposed to achieve this goal. The system includes three steps namely; separating images, scrambling one-half of the image, encrypting, and substituting the other scrambled half. Implementation of these three steps is achieved by using: cutting the image vertically, Arnold Cut Map, and tRNA respectively. The Bioinformatics technique (tRNA) used in encrypting (red and green) colors, and the Arnold cut map used in the scrambling and shifting process in the encryption method. The performance of the proposed system is measured by using a series of tests such as key sensitivity, histogram analysis, information entropy, correlation analysis, NCPR, similarity, and PSNR test. The results reveal a high sensitivity for initial values, resistant to statistical attack, and have the best performance in the NCPR test. It also passes the evaluation criteria for the both encryption method and S-Box. The complexity of the suggested system is represented by the attacker's need to know many chaos parameters, the logistic method (Arnold cut map), the utilized visual cryptographic techniques, and the methods used to generate the S-Box and keys. The consumed time is fewer than AES algorithm because AES takes huge time in the encryption process especially for big data. The proposed key needs to refresh only one time to make big changed and produces high security.</p></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2307187723002754/pdfft?md5=29475c6488c06b10745e8634ee36c54b&pid=1-s2.0-S2307187723002754-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135656856","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":"Transport of nanoparticles in porous media and associated environmental impact: A review.","authors":"Esther O. Yusuf ,&nbsp;Ityona Amber ,&nbsp;Simon Officer ,&nbsp;Gbenga F. Oluyemi","doi":"10.1016/j.jer.2024.01.006","DOIUrl":"10.1016/j.jer.2024.01.006","url":null,"abstract":"<div><p>The release of nanoparticles into the environment occurs at different stages during their life cycle, with significant harmful effects on the human (e.g., lung inflammation and heart problems) and the ecosystem (e.g., soil and groundwater contamination). While colloids (particles &gt;1 micrometre) behaviour in porous media is influenced by filtration, nanoparticles (&lt;100 nanometres) behaviour is driven by Brownian motion and quantum effects. Recognising these disparities is essential for applications like groundwater remediation and drug delivery, enabling precise strategies based on the differing transport dynamics of colloids and nanoparticles. The extent of the impact of nanoparticle release on the environment is strongly influenced by their type, size, concentration, and interaction with porous media. The main factor preventing the use of nanoparticles for environmental remediation and other related processes is the toxicity arising from their uncontrolled distribution beyond the application points. Finding a suitable dosing strategy for applying nanoparticles in porous media, necessary for the correct placement and deposition in target zones, is one of the significant challenges researchers and engineers face in advancing the use of nanoparticles for subsurface application. Thus, further studies are necessary to create a model-based strategy to prevent nanoparticle dispersion in a porous media. In general, this review explores the transport of nanoparticles in porous media concerning its application for environmental remediation. The aim of this study is captured under the following:</p><ul><li><span>a)</span><span><p>Identifying the properties of nanoparticles and porous media to develop an innovative remediation approach to reclaim contaminated aquifers effectively.</p></span></li><li><span>b)</span><span><p>Identify critical parameters for modelling an effective strategy for nanoparticle-controlled deposition in porous media. This would require a general understanding of the onset and mapping of the different nanoparticle depositional mechanisms in porous media.</p></span></li><li><span>c)</span><span><p>Identify existing or closely related studies using model-based strategies for controlling particulate transport and dispersion in porous media, focusing on their shortcomings.</p></span></li></ul></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2307187724000063/pdfft?md5=b196b37b32090a162349836fded4c2cb&pid=1-s2.0-S2307187724000063-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139454345","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":"Optimization game study of long-term dispatch for combined electricity and gas operation considering integrated demand response","authors":"Wei Xiong ,&nbsp;Xianshan Li ,&nbsp;Yue Hou ,&nbsp;Yu Zou","doi":"10.1016/j.jer.2023.09.034","DOIUrl":"10.1016/j.jer.2023.09.034","url":null,"abstract":"<div><p>The combined operation of electricity and gas is an important way of an integrated energy interconnection in the future. To meet the demands of multiple interests in the joint operation of electricity and gas, the master-slave game theory model is developed. In game model the power supply company and the gas company are the master players and the household load aggregation cluster is the slave player. The multi-energy joint load characteristics of household load aggregation and the uncertainty of the price demand response are used to obtain a payment function for each party to the game. The master-slave game model is built with the objective of maximizing the benefits on the supply side and minimizing the payments on the demand side. The master uses price as the strategy set and the slave uses demand response as the strategy set. The tripartite game equilibrium solution is screened by an optimal response function combined with Non-dominated sorting genetic algorithm (NSGA). Through the simulation analysis of an example, the frontier solution set of the tripartite game is obtained. Subjective scoring method and K-means clustering algorithm are used to select the optimal solution and discuss the application of the model under the influence of photovoltaic and gas turbine, the application of master-slave game and traditional NASH equilibrium solution, the application of game and general objective optimization in this paper. The model can be used to optimize the economic benefits of the parties in the long-term operation dispatch, and provide a reference for the optimal operation of market decisions under energy interconnection.</p></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2307187723002596/pdfft?md5=7060c8abf0b827cb9cfe217794a6b3ed&pid=1-s2.0-S2307187723002596-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135661529","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":"Characterization and prediction of micro channel depth of ultra-thin bipolar plates for PEMFCs","authors":"Hossein Talebi-Ghadikolaee ,&nbsp;Majid Elyasi ,&nbsp;Shahaboddin Seddighi ,&nbsp;Farzad Ahmadi Khatir ,&nbsp;Vahid Modanloo","doi":"10.1016/j.jer.2024.01.027","DOIUrl":"10.1016/j.jer.2024.01.027","url":null,"abstract":"<div><p>In this study, a combination of experimental and statistical methods were employed to precisely determine the micro channel depth in ultra-thin metallic bipolar plates fabricated from 316 stainless steel with a thickness of 0.1 mm. The investigation centers on the rubber pad forming process and its role in the production of these critical components for Proton Exchange Membrane Fuel Cells (PEMFCs). To advance the understanding of this manufacturing process, experimental tests were designed using a Design of Experiment (DOE) technique and subsequently developed a predictive model using Response Surface Methodology (RSM). The research reveals a direct, quantifiable relationship between the channel depth in metallic bipolar plates and the magnitude of the applied force. Also, the pivotal role of rubber thickness as a dominant factor influencing channel depth was explored. Furthermore, it is revealed that augmenting the channel depth in these plates is attainable through a reduction in rubber hardness and an increase in rubber thickness. However, the benefits diminish once the rubber layer thickness exceeds a specific threshold. Moreover, the results underscore that the primary influential factors in this process include force, hardness, thickness, as well as the interplay between force and rubber thickness. The proposed model's accuracy is reaffirmed through an average error rate of approximately 5.39%, signifying its reliability in predicting microchannel depth. This research contributes novel insights into the manufacturing of ultra-thin metallic bipolar plates for PEMFCs, shedding light on the critical parameters influencing channel depth and their interrelationships. The significance and engineering value of this work lies in its potential for enhancing the design and manufacturing of metallic bipolar plates for PEMFCs. Precise control of microchannel dimensions is crucial for enhancing PEMFC performance and efficiency. This research not only advances clean energy technology but also contributes to the broader goal of achieving sustainable energy solutions, making it a noteworthy and timely contribution to the field.</p></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2307187724000270/pdfft?md5=037d14c1586c23f53968be0560406f44&pid=1-s2.0-S2307187724000270-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139833102","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":"Transforming farming with intelligence: Smart vibration monitoring and alert system","authors":"Amandeep Singh ,&nbsp;Naser Nawayseh ,&nbsp;Yash Kumar Dhabi ,&nbsp;Siby Samuel ,&nbsp;Harwinder Singh","doi":"10.1016/j.jer.2023.08.025","DOIUrl":"10.1016/j.jer.2023.08.025","url":null,"abstract":"<div><p>During the evolution towards digital agriculture, the pivotal role of tractor riding necessitates a focus on improving operator performance and well-being. While most research has centered around vibration analysis, tangible solutions to control elevated vibration levels remain rare. The study aims to introduce an intelligent ThingSpeak-Enabled IoT (Internet of Things) solution that provides real-time monitoring and generates prompt warning alerts for tractor operators when vibrations exceed safe thresholds. The initial phase involved the real-time measurement of WBV (whole-body vibration) and SEAT (seat effective amplitude transmissibility). Following this, the secondary phase encompassed the analysis and validation of the system in cases where WBV and SEAT exceeded the recommended limits. The experimental design comprised 135 trials by systematically varying tractor ride parameters, including average speed (m/s), average depth (m), and pulling force (kN) levels. Daily vibration exposure response ranged from 0.43 m/s² to 0.87 m/s² with a mean exposure of 0.64 m/s², surpassing the EAV (exposure action value) threshold of 0.5 m/s². The SEAT values ranged between 91.37 and 133.08 with a mean of 108.35, that indicates insufficient seat isolation capacity, i.e., &lt; 100. Statistically, the study ascertained a significant influence of average speed and average depth WBV and SEAT responses at a 5% significance level. It underscores the potential efficacy of altering speed and depth parameters to attenuate vibration exposure levels. Further, the effectiveness of the system was tested through the automatic transmission of warning alerts via emails, text messages, and flashing red LED light on the IoT system. This critical feature provides considerable utility for tractor operators to adjust ride settings, ensuring that the ride remains within safe vibration limits. Furthermore, adopting such an advanced warning system in tractor manufacturing signifies a pioneering step towards sustainably enhancing operator well-being.</p></div>","PeriodicalId":48803,"journal":{"name":"Journal of Engineering Research","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2307187723002043/pdfft?md5=af14dfeb53c01fa2e83530f04438d4a5&pid=1-s2.0-S2307187723002043-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80668672","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}