Engineering, Technology & Applied Science Research最新文献_第5页

A Blockchain-based Conceptual Model to Address Educational Certificate Verification Challenges in Tanzania 基于区块链的概念模型解决坦桑尼亚教育证书验证挑战

Engineering, Technology & Applied Science Research Pub Date : 2023-10-13 DOI: 10.48084/etasr.6170

Said Hamisi Said, Mussa Ally Dida, Efraim Michael Kosia, Ramadhani S. Sinde

{"title":"A Blockchain-based Conceptual Model to Address Educational Certificate Verification Challenges in Tanzania","authors":"Said Hamisi Said, Mussa Ally Dida, Efraim Michael Kosia, Ramadhani S. Sinde","doi":"10.48084/etasr.6170","DOIUrl":"https://doi.org/10.48084/etasr.6170","url":null,"abstract":"The proliferation of counterfeit educational certificates is an ongoing issue around the world, including Tanzania. The effect of this malpractice is detrimental to the credibility of education. Traditional strategies to prevent fake certificates are abortive, calling for a more sophisticated approach. Blockchain technology has recently emerged as an ideal solution to this problem due to its inherent attributes that ensure disintermediation, immutability, tamper proof, anonymity, transparency, consensus, security, and trust. However, most existing blockchain-based solutions lack crucial functionalities that are pertinent to the Tanzanian education system. This study unveiled the challenges faced by the current verification system in Tanzania and proposed a blockchain-based conceptual model to address them. The proposed model is based on blockchain, smart contracts, and the Interplanetary File System (IPFS). Quantitative and qualitative methods were used to investigate certification problems in Tanzania and modeling techniques were used to construct the conceptual model. The findings showed that the main challenges of the current verification system emanate from manual procedures, unverifiable credentials, susceptibility of centralized storage systems, disintegrated verification systems, revocation problems, difficulties in communication, and high dependency on the issuers. These challenges undermine certificate verification, impose a significant setback in the fight against forgeries, and create loopholes. It was conceptually demonstrated that these issues can be resolved through the proposed blockchain-based solution.","PeriodicalId":11826,"journal":{"name":"Engineering, Technology & Applied Science Research","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135918145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of Stock Closing Prices using Transformer Learning 用变压器学习评估股票收盘价

Engineering, Technology & Applied Science Research Pub Date : 2023-10-13 DOI: 10.48084/etasr.6017

Tariq Saeed Mian

{"title":"Evaluation of Stock Closing Prices using Transformer Learning","authors":"Tariq Saeed Mian","doi":"10.48084/etasr.6017","DOIUrl":"https://doi.org/10.48084/etasr.6017","url":null,"abstract":"Predicting stock markets remains a critical and challenging task due to many factors, such as the enormous volume of generated price data, instant price data changes, and sensitivity to human sentiments, wars, and natural disasters. Since the previous three years of the COVID-19 pandemic, forecasting stock markets is more difficult, complex, and problematic for stock market analysts. However, technical analysts of the stock market and academic researchers are continuously trying to develop innovative and modern methods for forecasting stock market prices, using statistical techniques, machine learning, and deep learning-based algorithms. This study investigated a Transformer sequential-based approach to forecast the closing price for the next day. Ten sliding window timesteps were used to forecast next-day stock closing prices. This study aimed to investigate reliable techniques based on stock input features. The proposed Transformer-based method was compared with ARIMA, Long-Short Term Memory (LSTM), and Random Forest (RF) algorithms, showing its outstanding results on Yahoo Finance data, Facebook Intra data, and JPMorgan's Intra data. Each model was evaluated using Mean Absolute Error (MSE), Root Mean Square Error (RMSE), and Mean Absolute Percentage Error (MAPE).","PeriodicalId":11826,"journal":{"name":"Engineering, Technology & Applied Science Research","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135918146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reinforced Concrete Columns Insulated by Different Gypsum Layers Exposed to 900°C One Side Fire Flame 不同石膏层隔热的钢筋混凝土柱暴露于900°C单侧火焰

Engineering, Technology & Applied Science Research Pub Date : 2023-10-13 DOI: 10.48084/etasr.6083

Mohanad Salih Farhan Al-Jadiri, Abdul Muttalib I. Said

引用次数: 0

A Fairness-based Cell Selection Mechanism for Ultra-Dense Networks (UDNs) 一种基于公平性的超密集网络小区选择机制

Engineering, Technology & Applied Science Research Pub Date : 2023-10-13 DOI: 10.48084/etasr.6106

Sultan Alotaibi

{"title":"A Fairness-based Cell Selection Mechanism for Ultra-Dense Networks (UDNs)","authors":"Sultan Alotaibi","doi":"10.48084/etasr.6106","DOIUrl":"https://doi.org/10.48084/etasr.6106","url":null,"abstract":"A typical 5G Ultra-Dense Network (UDN) comprises different types of Base Stations (BSs) in its structure. Dense deployment of small-cell BSs within a macrocell BS's coverage offers significant benefits, as the distance between a User Equipment (UE) and its small-cell BS is shorter with robust signals. Thus, the network capacity will increase dramatically. However, selecting an appropriate small-cell BS for a particular UE becomes a challenge in 5G UDNs. This study proposed a mechanism to address the cell selection problem and maximize fairness among UEs when making the cell selection decision. The proposed mechanism considered different parameters. The load balance for each small-cell BS was considered to fairly distribute UEs and avoid traffic congestion. Moreover, the signal strength was considered with the achievable data rate for all small-cell BSs to stimulate idle small-cell BSs to be in operating mode. A simulation was carried out in MATLAB to evaluate the proposed mechanism. Signal-to-Interference-Ratio (SINR) and Signal Strength (SS) -based strategies were also simulated for comparison. The proposed solution outperformed the other schemes in terms of fairness, as the UEs attached to the system were fairly distributed among small-cell BSs. Furthermore, the proposed mechanism achieved the best radio resource distribution in terms of fairness compared to the two other schemes.","PeriodicalId":11826,"journal":{"name":"Engineering, Technology & Applied Science Research","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135918440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Structural Performance of Lightweight Fiber Reinforced Polystyrene Aggregate Self-Compacted Concrete Beams 轻质纤维增强聚苯乙烯骨料自密实混凝土梁的结构性能

Engineering, Technology & Applied Science Research Pub Date : 2023-10-13 DOI: 10.48084/etasr.6217

Rafaa Mahmood Abbas, Rawah Khalid Rakaa

{"title":"Structural Performance of Lightweight Fiber Reinforced Polystyrene Aggregate Self-Compacted Concrete Beams","authors":"Rafaa Mahmood Abbas, Rawah Khalid Rakaa","doi":"10.48084/etasr.6217","DOIUrl":"https://doi.org/10.48084/etasr.6217","url":null,"abstract":"This study aims to investigate experimentally the flexural behavior of lightweight Self-Compacted Concrete (SCC) beams made by Expanded Polystyrene (EPS) concrete and reinforced with rebars and steel fibers. To achieve the aims of this study, seven simply supported EPS lightweight fiber-reinforced concrete beams were fabricated and tested up to failure to study the effects of EPS content and the volume fraction of the steel fibers on their flexural behavior. The tested specimens were divided into two groups with one additional reference beam to be cast without using EPS or steel fibers. In the first group, three lightweight specimens were constructed using 25% EPS beads and were reinforced with 0%, 0.75%, and 1.5% steel fiber volume fractions. The second group is similar to the first group but was fabricated using 50% EPS beads. The test results showed that the mechanical properties of the hardened concrete were significantly reduced due to polystyrene EPS beads with some enhancement when steel fibers were added to the concrete mix. The flexure strength of EPS-LWT concrete beams was significantly reduced due to the polystyrene EPS beads. Furthermore, the results revealed remarkable enhancement in the flexure strength of the tested beams due to the steel fiber reinforcement.","PeriodicalId":11826,"journal":{"name":"Engineering, Technology & Applied Science Research","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135918449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Analyzing the Impact of Fly Ash Additive Ratio on Lubricant Properties 粉煤灰掺加比对润滑油性能的影响分析

Engineering, Technology & Applied Science Research Pub Date : 2023-10-13 DOI: 10.48084/etasr.6114

Tuan Anh Bui, Duc-Do Le, Duc-Toan Tran, Manh-Toan Nguyen, Van-Thuc Tran, Ngoc-Tam Bui

{"title":"Analyzing the Impact of Fly Ash Additive Ratio on Lubricant Properties","authors":"Tuan Anh Bui, Duc-Do Le, Duc-Toan Tran, Manh-Toan Nguyen, Van-Thuc Tran, Ngoc-Tam Bui","doi":"10.48084/etasr.6114","DOIUrl":"https://doi.org/10.48084/etasr.6114","url":null,"abstract":"Preventing surface damage is crucial for optimal machine performance, with lubricants and additives playing a vital role in achieving this objective. This study specifically focuses on evaluating the influence of fly-ash additives on the wear resistance of machine components when incorporated into lubricant oil. The experiments were conducted following ASTM standard operating conditions, utilizing the four-ball wear test to measure the scratch width and weight loss of balls using different lubricant oil formulations, including 0, 0.1%, 0.5%, 0.75%, and 1% additive. The findings demonstrate that the inclusion of 0.5% fly ash additive in the lubricant oil results in a significant reduction in both scratch width and weight loss of the balls. However, it should be noted that higher additive ratios may lead to increased scratch width and weight loss due to the agglomeration of the fly ash particles on the sliding surfaces. To achieve optimal effectiveness in reducing friction and wear, it is recommended to carefully control the content of fly ash within an appropriate range. Furthermore, this study highlights the width of scratches on balls as a reliable indicator for assessing the anti-wear properties of oils. The insights gained from this research offer valuable guidance to manufacturers in the selection of suitable anti-wear oils for specific applications. Further investigations could explore the impact of different lubricants and additive ratios to identify the most appropriate lubrication parameters. Overall, this study contributes to a better understanding of the effects of fly ash additives on the performance of lubricant oil and provides practical guidance for optimizing lubrication strategies in diverse industrial contexts.","PeriodicalId":11826,"journal":{"name":"Engineering, Technology & Applied Science Research","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135918456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Arabic Sentiment Analysis for Student Evaluation using Machine Learning and the AraBERT Transformer 使用机器学习和AraBERT转换器进行阿拉伯语情感分析的学生评价

Engineering, Technology & Applied Science Research Pub Date : 2023-10-13 DOI: 10.48084/etasr.6347

Huda Alamoudi, Nahla Aljojo, Asmaa Munshi, Abdullah Alghoson, Ameen Banjar, Araek Tashkandi, Anas Al-Tirawi, Iqbal Alsaleh

引用次数: 0

A Hybrid Time-Series Prediction of the Greater Riyadh's Metropolitan Area Expansion 大利雅得都市圈扩张的混合时间序列预测

Engineering, Technology & Applied Science Research Pub Date : 2023-10-13 DOI: 10.48084/etasr.6350

Faizah Alshammari, Nahla Aljojo, Araek Tashkandi, Abdullah Alghoson, Ameen Banjar, Nidhal K. El Abbadi

{"title":"A Hybrid Time-Series Prediction of the Greater Riyadh's Metropolitan Area Expansion","authors":"Faizah Alshammari, Nahla Aljojo, Araek Tashkandi, Abdullah Alghoson, Ameen Banjar, Nidhal K. El Abbadi","doi":"10.48084/etasr.6350","DOIUrl":"https://doi.org/10.48084/etasr.6350","url":null,"abstract":"Riyadh is the most populous city in Saudi Arabia, with a population of over five million people. The governmental and economic centers of Saudi Arabia are located in the city. Due to the fact that the metropolitan region that surrounds Riyadh is continuously growing and expanding, appropriate planning is essential. To be able to formulate efficient plans, one needs access to trustworthy facts and information. Failing to have a clear picture of the future renders planning inefficient. Along with a hybrid time-series prediction of the expansion of the wider Riyadh metropolitan area, an urban growth forecasting model was constructed for the Riyadh region as part of this study. This model was used to make projections about the city's future population. This prediction was conducted with the application of Linear Regression (LR), Seasonal Auto-Regressive Integrated Moving Average (SARIMAX), and Auto-Regressive Integrated Moving Average (ARIMA). The dataset for this study consisted of satellite images of the region surrounding Riyadh that were acquired between 1992 and 2022. Mean Absolute Percentage Error (MAPE) was applied to measure the performance of the proposed hybrid models. The calculated MAPE vales are 2.0% for SARIMAX, 12% for LR, and 22% for ARIMA. As a consequence, the hybrid model's forecast for the future of the region suggests that the projections made regarding the expansion are keeping pace.","PeriodicalId":11826,"journal":{"name":"Engineering, Technology & Applied Science Research","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135918775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real Time Measurement of Multiphase Flow Velocity using Electrical Capacitance Tomography 利用电容层析成像技术实时测量多相流速度

Engineering, Technology & Applied Science Research Pub Date : 2023-10-13 DOI: 10.48084/etasr.6130

Sidi Mohamed Ahmed Ghaly, Mohammad Obaidullah Khan, Mohamed Shalaby, Khalid A. Alsnaie, Majdi Oraiqat

{"title":"Real Time Measurement of Multiphase Flow Velocity using Electrical Capacitance Tomography","authors":"Sidi Mohamed Ahmed Ghaly, Mohammad Obaidullah Khan, Mohamed Shalaby, Khalid A. Alsnaie, Majdi Oraiqat","doi":"10.48084/etasr.6130","DOIUrl":"https://doi.org/10.48084/etasr.6130","url":null,"abstract":"Accurate and real-time measurement of fluid flow velocity is crucial in various industrial processes, especially when dealing with multiple phase fluids. Traditional flow measurement methods often struggle to accurately quantify the velocity of complex multiphase flows within pipes. This challenge necessitates the exploration of innovative techniques capable of providing reliable measurements. This paper proposes the utilization of Electrical Capacitance Tomography (ECT) as a promising approach for measuring the velocity of multiple phase fluids in pipes. The ECT technique involves the non-intrusive imaging of the electrical capacitance distribution within the pipe. By utilizing an array of electrodes placed around the pipe circumference, the capacitance distribution can be reconstructed, offering insight into the fluid flow patterns. By analyzing the temporal changes in the capacitance distribution, the velocity of different phases within the pipe can be estimated. To achieve accurate velocity measurements, an ECT system needs to account for the complexities introduced by multiphase flows. Various image reconstruction algorithms, such as linear back-projection and iterative algorithms like Gauss-Newton and Levenberg-Marquardt, are employed to reconstruct the capacitance distribution. Additionally, advanced signal processing techniques, such as cross-correlation analysis and time-difference methods, are used to extract velocity information from the reconstructed images. This paper presents an experimental investigation of measuring the velocity of multiple-phase fluids in pipes using the ECT technique. The study aims to address the challenges associated with different flow regimes, fluid properties, and pipe geometries by exploring advancements in electrode design, system calibration, and data processing techniques to enhance the accuracy and robustness of ECT-based velocity measurements.","PeriodicalId":11826,"journal":{"name":"Engineering, Technology & Applied Science Research","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135918324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing the Power System Operation Problem towards minimizing Generation and Damage Costs due to Load Shedding 优化电力系统运行问题，使减载发电和损害成本最小化

Engineering, Technology & Applied Science Research Pub Date : 2023-10-13 DOI: 10.48084/etasr.6221

Trong Nghia Le, Hoang Minh Vu Nguyen, Thi Trang Hoang, Ngoc Au Nguyen

{"title":"Optimizing the Power System Operation Problem towards minimizing Generation and Damage Costs due to Load Shedding","authors":"Trong Nghia Le, Hoang Minh Vu Nguyen, Thi Trang Hoang, Ngoc Au Nguyen","doi":"10.48084/etasr.6221","DOIUrl":"https://doi.org/10.48084/etasr.6221","url":null,"abstract":"Optimizing the operational parameters and control of the power system in steady-state conditions is a crucial issue in reducing the costs of power generation and operation. In the case of long-term operation of a power system, besides aiming to minimize power generation costs, the cost of damage caused by load shedding also needs to be considered. This paper presents the optimization of the total cost of a power system including minimizing the generation cost function of power plants or power companies and minimizing the damage cost function caused to customers due to load shedding or power outages. At the same time, the objective function must also ensure the constraints on the operating conditions of the power system. This contributes to maintaining the continuity of the power supply to critical loads and minimizing damage. Base loads, priority loads, or loads that are not allowed to be shed are considered as constraints. The optimization problem is addressed by using the Particle Swarm Optimization (PSO) algorithm and the Cuckoo Search Algorithm (CSA). The IEEE 30-bus test system is applied to validate the reduction in total cost. The result comparison shows that when applying the CSA, the total cost is significantly reduced by 3.75% in comparison with the PSO algorithm. The algorithms are implemented in Matlab to demonstrate the efficiency and accuracy of the proposed method.","PeriodicalId":11826,"journal":{"name":"Engineering, Technology & Applied Science Research","volume":"259 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135918441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0