European Journal of Engineering and Technology Research最新文献_第2页

Students’ Sentiment Analysis Using Natural Language Toolkit in Machine Learning for Module Evaluation 利用机器学习中的自然语言工具包进行学生情感分析，促进模块评价

European Journal of Engineering and Technology Research Pub Date : 2024-03-03 DOI: 10.24018/ejeng.2024.9.1.3006

Carine Umunyana, Gerard Tuyizere, Anaclet Mbarushimana

引用次数: 0

3-Dimensional CFD Simulation of Pre-Wastewater Treatment via Multi-Channel Porous Ceramic Membrane 通过多通道多孔陶瓷膜进行预污水处理的三维 CFD 仿真

European Journal of Engineering and Technology Research Pub Date : 2024-03-02 DOI: 10.24018/ejeng.2024.9.1.3128

Sina Fazlifard, Seyed Sepehr Mostafayi, Taha Baghban Ronaghi

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Experimental Investigation of Void Coalescence in XTral-728 Plate Containing Three-Void Cluster 包含三虚空簇的 XTral-728 板中虚空凝聚的实验研究

European Journal of Engineering and Technology Research Pub Date : 2024-02-16 DOI: 10.24018/ejeng.2024.9.1.3116

Mohammad Atiqur Rahman, Md Mesbah Uddin, Latiful Kabir

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An Optimizing Business Process: A Comprehensive Analysis of Amazon Inc.’s Information Architecture 优化业务流程：亚马逊公司信息架构综合分析

European Journal of Engineering and Technology Research Pub Date : 2024-02-14 DOI: 10.24018/ejeng.2024.9.1.3097

Mujiba Shaima, Estak Ahmed, Md Nasir Uddin Rana, Md Tanvir Islam

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A Deep Learning-Based Embedded System for Pest Bird Sound Detection and Proximity Estimation 基于深度学习的害鸟声音检测和近程估计嵌入式系统

European Journal of Engineering and Technology Research Pub Date : 2024-02-13 DOI: 10.24018/ejeng.2024.9.1.3150

Euhid Aman, Hwang-Cheng Wang

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Thermal Modeling and Electric Space Heating of a University Building in Newfoundland 纽芬兰大学大楼的热建模和空间电加热

European Journal of Engineering and Technology Research Pub Date : 2024-02-13 DOI: 10.24018/ejeng.2024.9.1.3145

Chamila Jayanuwan Liyanage, Mohammad Tariq Iqbal

{"title":"Thermal Modeling and Electric Space Heating of a University Building in Newfoundland","authors":"Chamila Jayanuwan Liyanage, Mohammad Tariq Iqbal","doi":"10.24018/ejeng.2024.9.1.3145","DOIUrl":"https://doi.org/10.24018/ejeng.2024.9.1.3145","url":null,"abstract":"\u0000\u0000\u0000\u0000Buildings play a substantial role in global energy consumption, constituting a considerable share of the overall energy use. In Canada, they contribute to around 25% of the total final energy consumption. Notably, space heating emerges as the primary energy consumer, accounting for approximately 57% of energy utilization in institutional and commercial buildings. This paper presents a feasibility analysis of converting the space heating system of the Core Science Facility (CSF) building of Memorial University of Newfoundland (MUN). Analysis is done using RETScreen Clean Energy Management Software, known as RETScreen Expert, a software package developed by the Government of Canada, and the thermal modeling of the building using Energy3D, developed by the National Renewable Energy Laboratory (NREL). The feasibility study indicates that significant savings can be achieved if space heating is switched to electric resistive heating. The results indicate a 24.2% savings in annual energy costs, with a simple payback period of 10.5 years. The simulation results from Energy3D are compared with the measured building energy consumption data provided by the MUN Facilities Management Department. The thermal model indicates less energy consumption than the actual measured values, which is a result of transmission losses, the interconnection between the CSF building and the University Center, building occupancy, the ventilation system, and degradation of equipment that are not considered in the model.\u0000\u0000\u0000\u0000","PeriodicalId":12001,"journal":{"name":"European Journal of Engineering and Technology Research","volume":"14 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139964441","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

Behavior of Potential of Half-Cell AISI 1018 and GS in Concrete Buried in Sand in the Presence of MgSO4 半电池 AISI 1018 和 GS 在存在硫酸镁的砂中埋设混凝土中的电位行为

European Journal of Engineering and Technology Research Pub Date : 2024-02-09 DOI: 10.24018/ejeng.2024.9.1.3123

Brenda Paola Baltazar-García, Daniel Francisco Baltazar-Zamora, G. Santiago-Hurtado, Victor M. Moreno-Landeros, David Lozano, Laura Landa-Ruiz, Shivani Shukla, M. Baltazar-Zamora

{"title":"Behavior of Potential of Half-Cell AISI 1018 and GS in Concrete Buried in Sand in the Presence of MgSO4","authors":"Brenda Paola Baltazar-García, Daniel Francisco Baltazar-Zamora, G. Santiago-Hurtado, Victor M. Moreno-Landeros, David Lozano, Laura Landa-Ruiz, Shivani Shukla, M. Baltazar-Zamora","doi":"10.24018/ejeng.2024.9.1.3123","DOIUrl":"https://doi.org/10.24018/ejeng.2024.9.1.3123","url":null,"abstract":"\u0000\u0000\u0000\u0000This project, in the area of reinforced concrete corrosion, evaluated the potential of half-cell AISI 1018 CS (Carbon Steel) and GS Steel (Steel with galvanized coating); 15 cm long bars were used as reinforcement in specimens of concrete buried in a Type SP Sand (contaminated with 0% and 3% MgSO4). The experimental arrangement of this research represents the case of the elements of the foundations of concrete structures that are planted near marine areas where this type of soil exists with the presence of high contents of depassivating ions such as sulfates. The study specimens were made with two concrete mixtures with a water/cement ratio 0.45 but with different types of cement (Portland Cement and Sulfate Resistant Cement). For monitoring the half-cell potential according to ASTM C 876-15, the specimens were buried in the clean SP soil and in the same soil but contaminated with MgSO4. After more than 270 days of exposure to uncontaminated SP sand contaminated with MgSO4, the behavior of the half-cell potentials or corrosion potentials show that the specimen made with the sulfate-resistant cement and reinforced with GS Steel (Steel with galvanized coating) presents the highest resistance to corrosion by MgSO4 at a concentration of 3%.\u0000\u0000\u0000\u0000","PeriodicalId":12001,"journal":{"name":"European Journal of Engineering and Technology Research","volume":"407 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139847990","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

Behavior of Potential of Half-Cell AISI 1018 and GS in Concrete Buried in Sand in the Presence of MgSO4 半电池 AISI 1018 和 GS 在存在硫酸镁的砂中埋设混凝土中的电位行为

European Journal of Engineering and Technology Research Pub Date : 2024-02-09 DOI: 10.24018/ejeng.2024.9.1.3123

Brenda Paola Baltazar-García, Daniel Francisco Baltazar-Zamora, G. Santiago-Hurtado, Victor M. Moreno-Landeros, David Lozano, Laura Landa-Ruiz, Shivani Shukla, M. Baltazar-Zamora

{"title":"Behavior of Potential of Half-Cell AISI 1018 and GS in Concrete Buried in Sand in the Presence of MgSO4","authors":"Brenda Paola Baltazar-García, Daniel Francisco Baltazar-Zamora, G. Santiago-Hurtado, Victor M. Moreno-Landeros, David Lozano, Laura Landa-Ruiz, Shivani Shukla, M. Baltazar-Zamora","doi":"10.24018/ejeng.2024.9.1.3123","DOIUrl":"https://doi.org/10.24018/ejeng.2024.9.1.3123","url":null,"abstract":"\u0000\u0000\u0000\u0000This project, in the area of reinforced concrete corrosion, evaluated the potential of half-cell AISI 1018 CS (Carbon Steel) and GS Steel (Steel with galvanized coating); 15 cm long bars were used as reinforcement in specimens of concrete buried in a Type SP Sand (contaminated with 0% and 3% MgSO4). The experimental arrangement of this research represents the case of the elements of the foundations of concrete structures that are planted near marine areas where this type of soil exists with the presence of high contents of depassivating ions such as sulfates. The study specimens were made with two concrete mixtures with a water/cement ratio 0.45 but with different types of cement (Portland Cement and Sulfate Resistant Cement). For monitoring the half-cell potential according to ASTM C 876-15, the specimens were buried in the clean SP soil and in the same soil but contaminated with MgSO4. After more than 270 days of exposure to uncontaminated SP sand contaminated with MgSO4, the behavior of the half-cell potentials or corrosion potentials show that the specimen made with the sulfate-resistant cement and reinforced with GS Steel (Steel with galvanized coating) presents the highest resistance to corrosion by MgSO4 at a concentration of 3%.\u0000\u0000\u0000\u0000","PeriodicalId":12001,"journal":{"name":"European Journal of Engineering and Technology Research","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139788050","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

5G Network Coverage Hole Prediction and Detection Using Machine Learning 利用机器学习预测和检测 5G 网络覆盖漏洞

European Journal of Engineering and Technology Research Pub Date : 2024-01-18 DOI: 10.24018/ejeng.2024.9.1.3102

Tobechukwu Chidozie Obiefuna, B. Omijeh

{"title":"5G Network Coverage Hole Prediction and Detection Using Machine Learning","authors":"Tobechukwu Chidozie Obiefuna, B. Omijeh","doi":"10.24018/ejeng.2024.9.1.3102","DOIUrl":"https://doi.org/10.24018/ejeng.2024.9.1.3102","url":null,"abstract":"\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000A signal-free area in a wireless network is called a coverage hole (CH). The signal at this location is either nonexistent or too weak to be detected or monitored. There may sometimes be coverage gaps or places with poor radio frequency (RF) performance due to wireless infrastructure components’ inability to adapt to changing RF dynamics and offer adequate coverage of the locations. Finding coverage gaps and RF problem spots needs a client-side approach rather than the traditional infrastructure-driven solution because of the importance of network intuition. This article’s goal is to locate coverage gaps or weak signal places in a variety of scenarios, including 5G KPIs and QoS parameters (QCI, or quality of service class identifier). The primary objective is to apply classification techniques to determine which use cases or network slices are impacted by the decreased signal strength. Training and test datasets for supervised machine learning techniques are pre-collected measured report data from a live 5G network monitoring counter and data system. Since most KPIs are numerical data, the study uses the classification methods ANN, RF, NB, and LR. This is not at all like the traditional methods—such as driving tests, etc.—for gathering data for coverage-hole detection. Orange Canvas and Microsoft Excel are two instances of data mining technologies that are used for both detection and prediction.\u0000\u0000\u0000\u0000\u0000\u0000\u0000\u0000","PeriodicalId":12001,"journal":{"name":"European Journal of Engineering and Technology Research","volume":"9 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140503807","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

Doping Effects and Relationship between Energy Band Gaps, Impact of Ionization Coefficient and Light Absorption Coefficient in Semiconductors 半导体中的掺杂效应和能带隙之间的关系、电离系数和光吸收系数的影响

European Journal of Engineering and Technology Research Pub Date : 2024-01-18 DOI: 10.24018/ejeng.2024.9.1.3118

Md. Bappi Pramanik, Md. Abdullah Al Rakib, Md. Abubakor Siddik, Shorab Bhuiyan

{"title":"Doping Effects and Relationship between Energy Band Gaps, Impact of Ionization Coefficient and Light Absorption Coefficient in Semiconductors","authors":"Md. Bappi Pramanik, Md. Abdullah Al Rakib, Md. Abubakor Siddik, Shorab Bhuiyan","doi":"10.24018/ejeng.2024.9.1.3118","DOIUrl":"https://doi.org/10.24018/ejeng.2024.9.1.3118","url":null,"abstract":"\u0000\u0000\u0000\u0000The doping process is very important in semiconductor technology that is widely used in the production of electronic devices. The effects of doping on the resistivity, mobility and energy band gap of semiconductors are significant and can greatly impact the performance of electronic devices. This thesis aims to investigate the impact of doping on the resistivity, mobility, energy band gap, impact of ionization coefficient, and light absorption coefficient of semiconductors. The study involves an in-depth analysis of the electronic properties of doped semiconductors and their behavior in various conditions. This thesis will provide a comprehensive understanding of the impact of doping on the electronic properties of semiconductors. The energy band gap, impact of ionization coefficient, and Light absorption coefficient were observed in this thesis. In the experimental result, the relation between energy band gap and atomic density, light absorption coefficient and atomic density, impact ionization and atomic density, impact ionization coefficient and Light absorption coefficient, resistivity and mobility has been found.\u0000\u0000\u0000\u0000\u0000 ","PeriodicalId":12001,"journal":{"name":"European Journal of Engineering and Technology Research","volume":"3 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140503668","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