. The bivalves' morphometric analysis of the freshwater shell characteristics is based on the shell size, shape, tooth, scars, and texture . We experimented and compared the accuracies of the following popular convolutional neural network architectures : ResNeSt, MobileNet, VGG16, Transfer Learning, and EfficientNet, whose model trainings are based on the bivalve image dataset obtained from a biology laboratory . The MobileNet model that gives the highest accuracy rate by 72 % is selected to be a classification model of our framework named MorphoNet . We also applied the YOLO4 object detection in the MorphoNet to detect the teeth and scars on the bivalve image . The framework can identify the bivalve class labels and detect the interesting features on the bivalve images automatically . It is an alternative tool to help the biologists in a preliminary class label identification and support the land - marking creation and morphometric analysis instead of doing it by hand .
{"title":"MorphoNet: A Novel Bivalve Images Classification Framework with Convolutional Neural Network","authors":"Chanon Dechsupa, Pongpun Prasankok, Wiwat Vattanawood, Arthit Thongtak","doi":"10.4186/ej.2023.27.9.71","DOIUrl":"https://doi.org/10.4186/ej.2023.27.9.71","url":null,"abstract":". The bivalves' morphometric analysis of the freshwater shell characteristics is based on the shell size, shape, tooth, scars, and texture . We experimented and compared the accuracies of the following popular convolutional neural network architectures : ResNeSt, MobileNet, VGG16, Transfer Learning, and EfficientNet, whose model trainings are based on the bivalve image dataset obtained from a biology laboratory . The MobileNet model that gives the highest accuracy rate by 72 % is selected to be a classification model of our framework named MorphoNet . We also applied the YOLO4 object detection in the MorphoNet to detect the teeth and scars on the bivalve image . The framework can identify the bivalve class labels and detect the interesting features on the bivalve images automatically . It is an alternative tool to help the biologists in a preliminary class label identification and support the land - marking creation and morphometric analysis instead of doing it by hand .","PeriodicalId":11618,"journal":{"name":"Engineering Journal","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135641236","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}
. This paper proposes a bi-level optimization (BLO) approach for optimal battery energy storage system (BESS) allocation (OBA) in distribution network (DN) considering optimal BESS daily scheduling (OBDS). The objective is to obtain the best locations and daily scheduling of BESSs that minimize total energy loss in DNs. In the upper-level of the proposed BLO method, the OBA is solved by mixed-integer particle swarm optimization (MIPSO). Meanwhile, the OBDS is solved as a sub-problem by particle swarm optimization in the lower-level of BLO. The proposed BLO based OBA considering OBDS algorithm had been tested with IEEE 33-bus radial distribution test system using load profile of Thai’s power system during summer, winter, and rainy seasons comparing to mixed-integer genetic algorithm (MIGA) method. The simulation result showed that the proposed lower-level OBDS can efficiently minimize the total daily loss by BESS scheduling. Moreover, the proposed algorithm can also achieve the optimal placement of BESS.
{"title":"Bi-level Planning Model for Optimal Battery Energy Storage Allocation Considering Optimal Daily Scheduling Using Mixed-Integer Particle Swarm Optimization","authors":"Korawitch Kaiyawong, Chakit Plongkrathoke, Keerati Chayakulkheeree","doi":"10.4186/ej.2023.27.8.13","DOIUrl":"https://doi.org/10.4186/ej.2023.27.8.13","url":null,"abstract":". This paper proposes a bi-level optimization (BLO) approach for optimal battery energy storage system (BESS) allocation (OBA) in distribution network (DN) considering optimal BESS daily scheduling (OBDS). The objective is to obtain the best locations and daily scheduling of BESSs that minimize total energy loss in DNs. In the upper-level of the proposed BLO method, the OBA is solved by mixed-integer particle swarm optimization (MIPSO). Meanwhile, the OBDS is solved as a sub-problem by particle swarm optimization in the lower-level of BLO. The proposed BLO based OBA considering OBDS algorithm had been tested with IEEE 33-bus radial distribution test system using load profile of Thai’s power system during summer, winter, and rainy seasons comparing to mixed-integer genetic algorithm (MIGA) method. The simulation result showed that the proposed lower-level OBDS can efficiently minimize the total daily loss by BESS scheduling. Moreover, the proposed algorithm can also achieve the optimal placement of BESS.","PeriodicalId":11618,"journal":{"name":"Engineering Journal","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135002449","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}
{"title":"Predicting the Product Classification of Hot Rolled Steel Sheets Using Machine Learning Algorithms","authors":"Chaovarat Junpradub, Krisada Asawarungsaengkul","doi":"10.4186/ej.2023.27.8.51","DOIUrl":"https://doi.org/10.4186/ej.2023.27.8.51","url":null,"abstract":"","PeriodicalId":11618,"journal":{"name":"Engineering Journal","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135002450","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}
. An endodontic rotary file is a special instrument used in the treatment of dental pulp and surrounding tissues. They are available in a wide range of sizes and configurations, specifically tailored to accommodate the narrow and curved root canals of the teeth. Consequently, dental rotary files are slender, flexible, and generally made of a nickel-titanium alloy. The investigation of mechanical behaviors of dental files can be effectively conducted using computational approaches, such as the finite element method. This numerical tool is widely used in many engineering applications, especially for solid mechanics and structural problems. With the finite element method, the reliability and safety of dental files can be preliminarily assessed in a short period of time. This report reviews applications of the finite element analysis method to investigate the mechanical responses of endodontic rotary files. Both the finite element modeling of the files and applications of the method to rotary file problems are included in the study. This review includes the stress distribution, flexibility and stiffness, and fatigue life of the files. There have been a variety of approaches to model files under flexural and torsional loads. Static analysis with simple loading conditions was adopted in most of the studies. The analytical approach can be improved so that files under working conditions are accurately modelled. Moreover, there is a need for verification of the finite element solutions with experimental or clinical studies.
{"title":"Finite Element Analysis of the Mechanical Behaviors of Endodontic Nickel–Titanium Rotary Files: A Review","authors":"Sarita Morakul, Sirawut Hiran-us, Pairod Singhatanadgid","doi":"10.4186/ej.2023.27.8.29","DOIUrl":"https://doi.org/10.4186/ej.2023.27.8.29","url":null,"abstract":". An endodontic rotary file is a special instrument used in the treatment of dental pulp and surrounding tissues. They are available in a wide range of sizes and configurations, specifically tailored to accommodate the narrow and curved root canals of the teeth. Consequently, dental rotary files are slender, flexible, and generally made of a nickel-titanium alloy. The investigation of mechanical behaviors of dental files can be effectively conducted using computational approaches, such as the finite element method. This numerical tool is widely used in many engineering applications, especially for solid mechanics and structural problems. With the finite element method, the reliability and safety of dental files can be preliminarily assessed in a short period of time. This report reviews applications of the finite element analysis method to investigate the mechanical responses of endodontic rotary files. Both the finite element modeling of the files and applications of the method to rotary file problems are included in the study. This review includes the stress distribution, flexibility and stiffness, and fatigue life of the files. There have been a variety of approaches to model files under flexural and torsional loads. Static analysis with simple loading conditions was adopted in most of the studies. The analytical approach can be improved so that files under working conditions are accurately modelled. Moreover, there is a need for verification of the finite element solutions with experimental or clinical studies.","PeriodicalId":11618,"journal":{"name":"Engineering Journal","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135002451","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}
. Cocoa pod husk (CPH), an agricultural by-product of the cocoa separation process, contains an average moisture content of 5.40 ±0.05 kg water /kg dry matter . Drying characteristics of CPH were examined in hot air at 50, 60 and 70°C using a laboratory oven with air ventilation at 3 L/min and a load cell sensor (HX-711) was used for weight loss tracking. Twelve mathematical models simulated the drying rate from a drying curve at each operating temperature by comparing four statistically calculated parameters. Levels of variation were investigated by plotting experimental data against the predicted moisture ratios to identify the sum of residuals and obtain a good fit. The Midilli et al. model provided the best drying characteristics with optimized statistical parameters. Using an Arrhenius type relationship, the effective diffusivity coefficient of moisture transfer varied from 7.979 x 10 -10 to 13.298 x 10 -10 m 2 /s, with operating temperature set at 50, 60 and 70°C and activation energy for moisture diffusion 70.48 kJ/mol.
{"title":"Thin Layer Drying Kinetics and Mathematical Modeling of Moisture Diffusivity in Cocoa Pod Husk (CPH)","authors":"Nattawut Sianoun, Prukraya Pongyeela, Nirana Chairerk, Juntima Chungsiriporn","doi":"10.4186/ej.2023.27.8.1","DOIUrl":"https://doi.org/10.4186/ej.2023.27.8.1","url":null,"abstract":". Cocoa pod husk (CPH), an agricultural by-product of the cocoa separation process, contains an average moisture content of 5.40 ±0.05 kg water /kg dry matter . Drying characteristics of CPH were examined in hot air at 50, 60 and 70°C using a laboratory oven with air ventilation at 3 L/min and a load cell sensor (HX-711) was used for weight loss tracking. Twelve mathematical models simulated the drying rate from a drying curve at each operating temperature by comparing four statistically calculated parameters. Levels of variation were investigated by plotting experimental data against the predicted moisture ratios to identify the sum of residuals and obtain a good fit. The Midilli et al. model provided the best drying characteristics with optimized statistical parameters. Using an Arrhenius type relationship, the effective diffusivity coefficient of moisture transfer varied from 7.979 x 10 -10 to 13.298 x 10 -10 m 2 /s, with operating temperature set at 50, 60 and 70°C and activation energy for moisture diffusion 70.48 kJ/mol.","PeriodicalId":11618,"journal":{"name":"Engineering Journal","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135002452","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}
{"title":"New Sustainable Approach for Multi-Objective Production and Distribution Planning in Supply Chain","authors":"Kanchanitch Nupet, Pisal Yenradee","doi":"10.4186/ej.2023.27.7.1","DOIUrl":"https://doi.org/10.4186/ej.2023.27.7.1","url":null,"abstract":"","PeriodicalId":11618,"journal":{"name":"Engineering Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135807070","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}
{"title":"Reverse Logistics Network Design with a 3-Phase Interactive Intuitionistic Fuzzy Goal Programming Approach: A Case Study of Covid-19 in Pathum Thani, Thailand","authors":"Pornpawee Supsermpol, Navee Chiadamrong","doi":"10.4186/ej.2023.27.7.27","DOIUrl":"https://doi.org/10.4186/ej.2023.27.7.27","url":null,"abstract":"","PeriodicalId":11618,"journal":{"name":"Engineering Journal","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135807071","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}
Napat Trongnukul, Nisai H. Fuengwarodsakul, Manop Masomtob
,
{"title":"Methodology and Guidelines for Designing Flexible BMS in Automotive Applications","authors":"Napat Trongnukul, Nisai H. Fuengwarodsakul, Manop Masomtob","doi":"10.4186/ej.2023.27.7.53","DOIUrl":"https://doi.org/10.4186/ej.2023.27.7.53","url":null,"abstract":",","PeriodicalId":11618,"journal":{"name":"Engineering Journal","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135807072","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}
{"title":"Facility Location Placement Optimisation for Bagged Cement Distribution During the COVID-19 Pandemic","authors":"Chayut Pacharatham, Parames Chutima","doi":"10.4186/ej.2023.27.7.75","DOIUrl":"https://doi.org/10.4186/ej.2023.27.7.75","url":null,"abstract":"","PeriodicalId":11618,"journal":{"name":"Engineering Journal","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135806872","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}
. Locally sourced granule-activated carbon (GAC) has been used in wastewater treatment systems, but it is not widely used in single chamber microbial fuel cells (SCMFCs). The GAC in an anode coupled with a carbon cloth was used in the SCMFCs in this research, with 1.00-L of the GAC added to the carbon cloth in the anode. Three SCMFCs were operated in continuous flow mode. The synthetic wastewater was prepared from rice flour dissolved in tap water, with a chemical oxygen demand (COD) value of 1,816.32 ± 204.78 mg/L. The organic loading rates (OLRs) in the study were 0.91, 1.82, and 7.27 kgCOD/m 3 - d. The maximum power density levels generated by the three SCMFCs were 13.16, 7.96 and 4.11 mW/m 2 from OLRs of 0.91, 1.82, and 7.27 kgCOD/m 3 -d, respectively, and the efficiency rate of COD removal were 24.96%, 24.85%, and 20.75%, respectively. This research also presented a voltage boost converter circuit for charging a 0.25F storage supercapacitor. Only two OLRs provided an electric voltage that could run the circuit (0.49V and 0.45V generated by OLRs of 0.91 and 1.82 kgCOD/m 3 -d, respectively.) The supercapacitor set was charged to reach the maximum output of 5.25 V taking 19.5 hr and 37.5 hr, respectively.
{"title":"Electricity Generation from Single Chamber Microbial Fuel Cells using Granular Activated Carbon as Anode for Wastewater Treatment","authors":"Sarawut Suphannarach, Dusit Thanapatay, Nattakarn Prasertsung, Settakorn Kamuang","doi":"10.4186/ej.2023.27.6.1","DOIUrl":"https://doi.org/10.4186/ej.2023.27.6.1","url":null,"abstract":". Locally sourced granule-activated carbon (GAC) has been used in wastewater treatment systems, but it is not widely used in single chamber microbial fuel cells (SCMFCs). The GAC in an anode coupled with a carbon cloth was used in the SCMFCs in this research, with 1.00-L of the GAC added to the carbon cloth in the anode. Three SCMFCs were operated in continuous flow mode. The synthetic wastewater was prepared from rice flour dissolved in tap water, with a chemical oxygen demand (COD) value of 1,816.32 ± 204.78 mg/L. The organic loading rates (OLRs) in the study were 0.91, 1.82, and 7.27 kgCOD/m 3 - d. The maximum power density levels generated by the three SCMFCs were 13.16, 7.96 and 4.11 mW/m 2 from OLRs of 0.91, 1.82, and 7.27 kgCOD/m 3 -d, respectively, and the efficiency rate of COD removal were 24.96%, 24.85%, and 20.75%, respectively. This research also presented a voltage boost converter circuit for charging a 0.25F storage supercapacitor. Only two OLRs provided an electric voltage that could run the circuit (0.49V and 0.45V generated by OLRs of 0.91 and 1.82 kgCOD/m 3 -d, respectively.) The supercapacitor set was charged to reach the maximum output of 5.25 V taking 19.5 hr and 37.5 hr, respectively.","PeriodicalId":11618,"journal":{"name":"Engineering Journal","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135142615","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}
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