Pub Date : 2023-10-15DOI: 10.17559/tv-20230130000295
{"title":"Seagull Optimization-based Feature Selection with Optimal Extreme Learning Machine for Intrusion Detection in Fog Assisted WSN","authors":"","doi":"10.17559/tv-20230130000295","DOIUrl":"https://doi.org/10.17559/tv-20230130000295","url":null,"abstract":"","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74022484","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}
Pub Date : 2023-10-15DOI: 10.17559/tv-20230429000587
{"title":"Integrated Sensor Fusion Device with an Optimized Mathematical Model to Monitor Civil Engineering Structures","authors":"","doi":"10.17559/tv-20230429000587","DOIUrl":"https://doi.org/10.17559/tv-20230429000587","url":null,"abstract":"","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75825388","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}
Pub Date : 2023-10-15DOI: 10.17559/tv-20230227000385
Yang Zhao, WU Jun, Tongning Wang, Xin Cui, Xiusong Fu
: Cable replacement is a key technique to solve the problems of cable corrosion and strand breakage. Cable removal causes structural changes. The choice of replacement method affects the safety of the bridge during cable replacement. A sensitivity analysis method was used to evaluate the force and deflection changes of Wohu Bridge. A reasonable method for the number and order of cable replacement was proposed; by comparing different cable removal schemes, it was revealed that the cable force and beam stress changes of the cables closest to the removed cable were the most significant. The results showed that the cable force increment of the surrounding cables was the largest when removing the longest cable. The structural impact change was small when removing the shortest cable. The maximum deflection at the top of the tower decreased with the decrease of the length of the removed cable. It was recommended to replace two cables symmetrically from the center of the tower, and the optimal replacement order was from the shortest cable to the longest cable. Furthermore, this paper also studied the influence of variable load on the cable replacement scheme, and demonstrated that the design scheme of opening part of traffic in this paper was safe and feasible.
{"title":"Cable Replacement Scheme for Low Tower Cable-Stayed Bridges Based on Sensitivity Analysis","authors":"Yang Zhao, WU Jun, Tongning Wang, Xin Cui, Xiusong Fu","doi":"10.17559/tv-20230227000385","DOIUrl":"https://doi.org/10.17559/tv-20230227000385","url":null,"abstract":": Cable replacement is a key technique to solve the problems of cable corrosion and strand breakage. Cable removal causes structural changes. The choice of replacement method affects the safety of the bridge during cable replacement. A sensitivity analysis method was used to evaluate the force and deflection changes of Wohu Bridge. A reasonable method for the number and order of cable replacement was proposed; by comparing different cable removal schemes, it was revealed that the cable force and beam stress changes of the cables closest to the removed cable were the most significant. The results showed that the cable force increment of the surrounding cables was the largest when removing the longest cable. The structural impact change was small when removing the shortest cable. The maximum deflection at the top of the tower decreased with the decrease of the length of the removed cable. It was recommended to replace two cables symmetrically from the center of the tower, and the optimal replacement order was from the shortest cable to the longest cable. Furthermore, this paper also studied the influence of variable load on the cable replacement scheme, and demonstrated that the design scheme of opening part of traffic in this paper was safe and feasible.","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77744280","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}
Pub Date : 2023-10-15DOI: 10.17559/tv-20220725105224
{"title":"Robust Adaptive Cerebellar Model Articulation Controller for 1-DOF Nonlaminated Active Magnetic Bearings","authors":"","doi":"10.17559/tv-20220725105224","DOIUrl":"https://doi.org/10.17559/tv-20220725105224","url":null,"abstract":"","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80202624","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}
Pub Date : 2023-10-15DOI: 10.17559/tv-20221020152721
{"title":"A Deep Learning-Based Hybrid Approach to Detect Fastener Defects in Real-Time","authors":"","doi":"10.17559/tv-20221020152721","DOIUrl":"https://doi.org/10.17559/tv-20221020152721","url":null,"abstract":"","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76741268","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}
Pub Date : 2023-10-15DOI: 10.17559/tv-20220809151506
{"title":"Determining Singularity-Free Inner Workspace through Offline Conversion of Assembly Modes for a 3-RRR PPM","authors":"","doi":"10.17559/tv-20220809151506","DOIUrl":"https://doi.org/10.17559/tv-20220809151506","url":null,"abstract":"","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82771205","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}
Pub Date : 2023-10-15DOI: 10.17559/tv-20221007094749
Muhammad Saad, A. Elahi
: Supplementary Cementitious Materials (SCMs) have the potential to enhance the properties of self-compacting concrete (SCC) while reducing the pressure on natural reserves and CO 2 emissions. However, certain SCMs are not able to meet the needs in the construction industry. This research investigates the role of unheated bentonite (BN) clay and its synergistic effect with Ground Granulated Blast Furnace Slag (GGBS) as a partial substitute for cement on performance of SCC. Three different mixtures were prepared, each consisting of 0%, 15%, and 30% (by weight) BC as a replacement for cement, while GGBS remained constant to get the designed strength. Each mix was designed with two strength grades of 30 and 60 MPa by adjusting the compositional parameters and validating their 28 days compressive strength. Fresh Properties tests were conducted as per EFNARC standards. The ultrasonic pulse velocity of all tested specimens is greater than 4.5 km/s, indicating "good" and "excellent" quality concrete. The experimental results revealed that combining BC with GGBS concrete improved durability. The BC and GGBS made concrete more resistant to sulphate attack and chloride ingress. The concrete mixtures were found to be suitable and more durable for use in the construction industry.
{"title":"Performance of Self Compacting Concrete Using Bentonite","authors":"Muhammad Saad, A. Elahi","doi":"10.17559/tv-20221007094749","DOIUrl":"https://doi.org/10.17559/tv-20221007094749","url":null,"abstract":": Supplementary Cementitious Materials (SCMs) have the potential to enhance the properties of self-compacting concrete (SCC) while reducing the pressure on natural reserves and CO 2 emissions. However, certain SCMs are not able to meet the needs in the construction industry. This research investigates the role of unheated bentonite (BN) clay and its synergistic effect with Ground Granulated Blast Furnace Slag (GGBS) as a partial substitute for cement on performance of SCC. Three different mixtures were prepared, each consisting of 0%, 15%, and 30% (by weight) BC as a replacement for cement, while GGBS remained constant to get the designed strength. Each mix was designed with two strength grades of 30 and 60 MPa by adjusting the compositional parameters and validating their 28 days compressive strength. Fresh Properties tests were conducted as per EFNARC standards. The ultrasonic pulse velocity of all tested specimens is greater than 4.5 km/s, indicating \"good\" and \"excellent\" quality concrete. The experimental results revealed that combining BC with GGBS concrete improved durability. The BC and GGBS made concrete more resistant to sulphate attack and chloride ingress. The concrete mixtures were found to be suitable and more durable for use in the construction industry.","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90700039","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}
Pub Date : 2023-10-15DOI: 10.17559/tv-20230301000393
Mario Miši, M. Stojkov, Rudolf Tomi, Mario Lovri
This paper compares train energy consumption of hybrid diesel-electric multiple unit (HDEMU) to hydrogen fuel-cell multiple unit (HFCMU). In the simulation, the parameters of the DMU HŽ7022 train were used for the train model created in Matlab/Simulink environment. Since the train is powered by three diesel engines in original design, it was hybridized by removing one engine and adding a battery and a supercapacitor. For comparison, a train model was made with fuel cells that have rated power of two existing diesel engines, and it was hybridized with a battery and a supercapacitor, as in the simulation with the hybridization of diesel engines. The results are presented by comparing energy consumption for both trains. In addition, voltages, electric current values and power loads of power sources are shown. As the sustainability of the system, the SOC (State of Charge) values of both the battery and the supercapacitor are presented.
{"title":"Comparative Energy Consumption Analysis of the Hybrid Diesel Train and the Hybrid Fuel Cell Train","authors":"Mario Miši, M. Stojkov, Rudolf Tomi, Mario Lovri","doi":"10.17559/tv-20230301000393","DOIUrl":"https://doi.org/10.17559/tv-20230301000393","url":null,"abstract":"This paper compares train energy consumption of hybrid diesel-electric multiple unit (HDEMU) to hydrogen fuel-cell multiple unit (HFCMU). In the simulation, the parameters of the DMU HŽ7022 train were used for the train model created in Matlab/Simulink environment. Since the train is powered by three diesel engines in original design, it was hybridized by removing one engine and adding a battery and a supercapacitor. For comparison, a train model was made with fuel cells that have rated power of two existing diesel engines, and it was hybridized with a battery and a supercapacitor, as in the simulation with the hybridization of diesel engines. The results are presented by comparing energy consumption for both trains. In addition, voltages, electric current values and power loads of power sources are shown. As the sustainability of the system, the SOC (State of Charge) values of both the battery and the supercapacitor are presented.","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89751390","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}
Pub Date : 2023-10-15DOI: 10.17559/tv-20230530000682
Mo Dong, YU Haiye, Lei Zhang, Yuanyuan Sui, Ruohan Zhao
: The human population is growing at an extremely rapid rate, the demand of food supplies for the survival and sustainability of life is a gleaming challenge. Each living being in the planet gets bestowed with the healthy food to remain active and healthy. Agriculture is a domain which is extremely important as it provides the fundamental resources for survival in terms of supplying food and thus the economy of the entire world is highly dependent on agricultural production. The agricultural production is often affected by various environmental and geographical factors which are difficult to avoid being part of nature. Thus, it requires proactive mitigation plans to reduce any detrimental effect caused by the imbalance of these factors. Precision agriculture is an approach that incorporates information technology in agriculture management, the needs of crops and farming fields are fulfilled to optimized crop health and resultant crop production. The proposed study involves an ambient intelligence-based implementation using machine learning to classify diseases in tomato plants based on the images of its leaf dataset. To analytically evaluate the performance of the framework, a publicly available plant-village dataset is used which is transformed to appropriate form using one-hot encoding technique to meet the needs of the machine learning algorithm. The transformed data is dimensionally reduced by Principal Component Analysis (PCA) technique and further the optimal parameters are selected using Spider Monkey Optimization (SMO) approach. The most relevant features as selected using the Hybrid PCA-SMO technique fed into a Deep Neural Networks (DNN) model to classify the tomato diseases. The optimal performance of the DNN model after implementing dimensionality reduction by Hybrid PCA-SMO technique reached at 99% accuracy was achieved in training and 94% accuracy was achieved after testing the model for 20 epochs. The proposed model is evaluated based on accuracy and loss rate metrics; it justifies the superiority of the approach.
{"title":"A PCA-SMO Based Hybrid Classification Model for Predictions in Precision Agriculture","authors":"Mo Dong, YU Haiye, Lei Zhang, Yuanyuan Sui, Ruohan Zhao","doi":"10.17559/tv-20230530000682","DOIUrl":"https://doi.org/10.17559/tv-20230530000682","url":null,"abstract":": The human population is growing at an extremely rapid rate, the demand of food supplies for the survival and sustainability of life is a gleaming challenge. Each living being in the planet gets bestowed with the healthy food to remain active and healthy. Agriculture is a domain which is extremely important as it provides the fundamental resources for survival in terms of supplying food and thus the economy of the entire world is highly dependent on agricultural production. The agricultural production is often affected by various environmental and geographical factors which are difficult to avoid being part of nature. Thus, it requires proactive mitigation plans to reduce any detrimental effect caused by the imbalance of these factors. Precision agriculture is an approach that incorporates information technology in agriculture management, the needs of crops and farming fields are fulfilled to optimized crop health and resultant crop production. The proposed study involves an ambient intelligence-based implementation using machine learning to classify diseases in tomato plants based on the images of its leaf dataset. To analytically evaluate the performance of the framework, a publicly available plant-village dataset is used which is transformed to appropriate form using one-hot encoding technique to meet the needs of the machine learning algorithm. The transformed data is dimensionally reduced by Principal Component Analysis (PCA) technique and further the optimal parameters are selected using Spider Monkey Optimization (SMO) approach. The most relevant features as selected using the Hybrid PCA-SMO technique fed into a Deep Neural Networks (DNN) model to classify the tomato diseases. The optimal performance of the DNN model after implementing dimensionality reduction by Hybrid PCA-SMO technique reached at 99% accuracy was achieved in training and 94% accuracy was achieved after testing the model for 20 epochs. The proposed model is evaluated based on accuracy and loss rate metrics; it justifies the superiority of the approach.","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89843665","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}
Pub Date : 2023-10-15DOI: 10.17559/tv-20220711123816
{"title":"Structural Investigation of a Historical Masonry Arch Bridge under Far-Fault Earthquakes","authors":"","doi":"10.17559/tv-20220711123816","DOIUrl":"https://doi.org/10.17559/tv-20220711123816","url":null,"abstract":"","PeriodicalId":49443,"journal":{"name":"Tehnicki Vjesnik-Technical Gazette","volume":null,"pages":null},"PeriodicalIF":0.9,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91206193","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}
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