Pub Date : 2021-07-27DOI: 10.1109/mercon52712.2021.9525757
A. Jayasekara
{"title":"Message from Program Chair","authors":"A. Jayasekara","doi":"10.1109/mercon52712.2021.9525757","DOIUrl":"https://doi.org/10.1109/mercon52712.2021.9525757","url":null,"abstract":"","PeriodicalId":6855,"journal":{"name":"2021 Moratuwa Engineering Research Conference (MERCon)","volume":"93 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83867799","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}
Deep learning has achieved immense universality by outperforming GMM and i-vectors on speaker identification. Neural Network approaches have obtained promising results when fed by raw speech samples directly. Modified Convolutional Neural Network (CNN) architecture called SincNet, based on parameterized sinc functions which offer a very compact way to derive a customized filter bank in the short utterance. This paper proposes attention based Long Short Term Memory (LSTM) architecture that encourages discovering more meaningful speaker-related features with minimal training data. Attention layer built using Neural Networks offers a unique and efficient representation of the speaker characteristics which explore the connection between an aspect and the content of short utterances. The proposed approach converges faster and performs better than the SincNet on the experiments carried out in the speaker identification tasks.
{"title":"End To End Model For Speaker Identification With Minimal Training Data","authors":"Sathiyakugan Balakrishnan, Kanthasamy Jathusan, Uthayasanker Thayasivam","doi":"10.1109/MERCon52712.2021.9525740","DOIUrl":"https://doi.org/10.1109/MERCon52712.2021.9525740","url":null,"abstract":"Deep learning has achieved immense universality by outperforming GMM and i-vectors on speaker identification. Neural Network approaches have obtained promising results when fed by raw speech samples directly. Modified Convolutional Neural Network (CNN) architecture called SincNet, based on parameterized sinc functions which offer a very compact way to derive a customized filter bank in the short utterance. This paper proposes attention based Long Short Term Memory (LSTM) architecture that encourages discovering more meaningful speaker-related features with minimal training data. Attention layer built using Neural Networks offers a unique and efficient representation of the speaker characteristics which explore the connection between an aspect and the content of short utterances. The proposed approach converges faster and performs better than the SincNet on the experiments carried out in the speaker identification tasks.","PeriodicalId":6855,"journal":{"name":"2021 Moratuwa Engineering Research Conference (MERCon)","volume":"85 1","pages":"456-461"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82873821","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}
Pub Date : 2021-07-27DOI: 10.1109/MERCon52712.2021.9525802
S. Jagoda, J. Gamage, H. Karunathilake
Polyethylene Terephthalate (PET) has become the most commonly used material in the global beverage bottling industry. PET bottle production has increased by over seven times within the last three decades. However, the use of PET has a considerably detrimental effect on the environment, and many studies have been carried out on curbing this damage. Reducing the amount of material used, design for recycling, repurposing, and reusing are possible approaches for mitigating the negative environmental impacts of the PET bottle industry. The local PET bottle market has a range of products to cater the various customer requirements. To obtain a holistic vision of the actual impacts of this industry, life cycle thinking becomes necessary. The objective of this study is to present a methodological framework for comparing the environmental performance and structural performance of PET bottle designs, using case studies from the Sri Lankan market. A life cycle assessment and a finite element analysis were carried out to evaluate the overall environmental impacts of the PET supply chain and the structural performance of PET bottles. The outcomes of the study are used to provide recommendations on the short and long-term strategies to increase the eco-friendliness of the PET bottle industry.
{"title":"A Comparative Analysis of the Environmental and Structural Performance of PET Bottle Designs in Sri Lanka","authors":"S. Jagoda, J. Gamage, H. Karunathilake","doi":"10.1109/MERCon52712.2021.9525802","DOIUrl":"https://doi.org/10.1109/MERCon52712.2021.9525802","url":null,"abstract":"Polyethylene Terephthalate (PET) has become the most commonly used material in the global beverage bottling industry. PET bottle production has increased by over seven times within the last three decades. However, the use of PET has a considerably detrimental effect on the environment, and many studies have been carried out on curbing this damage. Reducing the amount of material used, design for recycling, repurposing, and reusing are possible approaches for mitigating the negative environmental impacts of the PET bottle industry. The local PET bottle market has a range of products to cater the various customer requirements. To obtain a holistic vision of the actual impacts of this industry, life cycle thinking becomes necessary. The objective of this study is to present a methodological framework for comparing the environmental performance and structural performance of PET bottle designs, using case studies from the Sri Lankan market. A life cycle assessment and a finite element analysis were carried out to evaluate the overall environmental impacts of the PET supply chain and the structural performance of PET bottles. The outcomes of the study are used to provide recommendations on the short and long-term strategies to increase the eco-friendliness of the PET bottle industry.","PeriodicalId":6855,"journal":{"name":"2021 Moratuwa Engineering Research Conference (MERCon)","volume":"42 1","pages":"214-219"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88560878","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}
Pub Date : 2021-07-27DOI: 10.1109/MERCon52712.2021.9525778
T. Dilrukshi, Surangika Ranathunga
This paper presents the STHITHIKA distributed Complex Event Processing (CEP) system, which is focused on the problem of optimally processing a large number of different event streams using a large number of CEP queries in a distributed manner. Optimization is done in two levels: individual query optimization using query rewriting, and optimization of query distribution across multiple nodes. Cost of individual queries, number of events streams common to queries, CPU and memory utilization of nodes that run CEP queries, type of queries, and the number of queries in each node are the factors considered in the query distribution algorithm. Experiments show that with these optimizations, compared to existing systems, STHITHIKA is capable of providing a higher system throughput, without making an adverse impact on event duplication or load variance across processing nodes. It is also more robust to event bursts.
{"title":"STHITHIKA: Distributed Complex Event Processing with Query Rewriting","authors":"T. Dilrukshi, Surangika Ranathunga","doi":"10.1109/MERCon52712.2021.9525778","DOIUrl":"https://doi.org/10.1109/MERCon52712.2021.9525778","url":null,"abstract":"This paper presents the STHITHIKA distributed Complex Event Processing (CEP) system, which is focused on the problem of optimally processing a large number of different event streams using a large number of CEP queries in a distributed manner. Optimization is done in two levels: individual query optimization using query rewriting, and optimization of query distribution across multiple nodes. Cost of individual queries, number of events streams common to queries, CPU and memory utilization of nodes that run CEP queries, type of queries, and the number of queries in each node are the factors considered in the query distribution algorithm. Experiments show that with these optimizations, compared to existing systems, STHITHIKA is capable of providing a higher system throughput, without making an adverse impact on event duplication or load variance across processing nodes. It is also more robust to event bursts.","PeriodicalId":6855,"journal":{"name":"2021 Moratuwa Engineering Research Conference (MERCon)","volume":"11 1","pages":"705-710"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74777212","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}
Pub Date : 2021-07-27DOI: 10.1109/MERCon52712.2021.9525755
Dinuka R Ratnasinghe, N. L. Adihetty, Muthuthanthrige L. C. Attygalle, H. Mahabaduge
In the photovoltaic industry, perovskites that belong to the third generation are one of the most popular materials which give more promising results. The CH3NH3PbI3 (Methylammonium Lead Iodide) also known as MAPI is one of the famous material which gives higher performances. The research work was focused on modeling a multi-junction device with a perovskite top cell and second generation bottom cell. These two cells were modeled and simulated under AM1.5G illumination and the final model of the tandem cell was optimized by considering the thicknesses of the absorber layers which is key to the performance. A surface defect layer (SDL) which previously proved buried homojunction was created at the CdS/CIGS interface. The existence of this layer increases the recombination at the homojunction. Therefore altering the properties of this layer was supposed to reduce the recombinations at the interface. The defect densities of the CdS/SDL and SDL/CIGS interfaces were analyzed and interpreted for all the possible outcomes. According to results, this tandem model showed 30.95% power conversion efficiency (PCE) with 1.82 V open-circuit voltage and 20.86 mA/cm2 short circuit current at the $0.19 - 0.20 mumathrm{m}$ thickness of perovskite absorber. All the modelings and simulations were done by using the SCAPS-1D software.
{"title":"Performance Investigation and Optimization of Perovskite/CIGS Tandem Solar Cell by Using SCAPS-1D Modeling and Simulation","authors":"Dinuka R Ratnasinghe, N. L. Adihetty, Muthuthanthrige L. C. Attygalle, H. Mahabaduge","doi":"10.1109/MERCon52712.2021.9525755","DOIUrl":"https://doi.org/10.1109/MERCon52712.2021.9525755","url":null,"abstract":"In the photovoltaic industry, perovskites that belong to the third generation are one of the most popular materials which give more promising results. The CH3NH3PbI3 (Methylammonium Lead Iodide) also known as MAPI is one of the famous material which gives higher performances. The research work was focused on modeling a multi-junction device with a perovskite top cell and second generation bottom cell. These two cells were modeled and simulated under AM1.5G illumination and the final model of the tandem cell was optimized by considering the thicknesses of the absorber layers which is key to the performance. A surface defect layer (SDL) which previously proved buried homojunction was created at the CdS/CIGS interface. The existence of this layer increases the recombination at the homojunction. Therefore altering the properties of this layer was supposed to reduce the recombinations at the interface. The defect densities of the CdS/SDL and SDL/CIGS interfaces were analyzed and interpreted for all the possible outcomes. According to results, this tandem model showed 30.95% power conversion efficiency (PCE) with 1.82 V open-circuit voltage and 20.86 mA/cm2 short circuit current at the $0.19 - 0.20 mumathrm{m}$ thickness of perovskite absorber. All the modelings and simulations were done by using the SCAPS-1D software.","PeriodicalId":6855,"journal":{"name":"2021 Moratuwa Engineering Research Conference (MERCon)","volume":"14 1","pages":"538-543"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74819606","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}
Pub Date : 2021-07-27DOI: 10.1109/MERCon52712.2021.9525695
J. Jayasinghe, A. Ratnakumar, A. Samarasekara, D. Amarasinghe
Cotton is a natural staple fiber that mostly consists of cellulose compared to wood. The major economic value of cotton is in textile industry. Over the recent past years the demand for cotton consumption has increased significantly than its production. In textile manufacturing, cotton is blended with various other synthetic fibers such as polyester, nylon and lycra to obtain the desired properties. Though fabric recycling methods are available for pre-consumer garment waste, the processes are quite complicated in actual practice. In this work Microcrystalline Cellulose (MCC) extracted from cotton fabric waste was converted into Microfibrillated Cellulose (MFC) using acid hydrolysis method. However, the major challenge in using acid hydrolysis method is the low amount of yield. Three experimental factors that includes; acid concentration, hydrolysis time and temperature show the highest effect in yield and quality of MFC. Therefore, this experiment was designed to optimize the effect of these three independent factors on yield (%) and width (nm) of MFC. Response surface methodology was adapted to design the experiment and ANOVA statistical test results were used to determine the significant effect of those listed parameters on acid hydrolysis.
{"title":"Process Optimization of Microfibrillated Cellulose Extraction from Cotton Waste Using Response Surface Methodology","authors":"J. Jayasinghe, A. Ratnakumar, A. Samarasekara, D. Amarasinghe","doi":"10.1109/MERCon52712.2021.9525695","DOIUrl":"https://doi.org/10.1109/MERCon52712.2021.9525695","url":null,"abstract":"Cotton is a natural staple fiber that mostly consists of cellulose compared to wood. The major economic value of cotton is in textile industry. Over the recent past years the demand for cotton consumption has increased significantly than its production. In textile manufacturing, cotton is blended with various other synthetic fibers such as polyester, nylon and lycra to obtain the desired properties. Though fabric recycling methods are available for pre-consumer garment waste, the processes are quite complicated in actual practice. In this work Microcrystalline Cellulose (MCC) extracted from cotton fabric waste was converted into Microfibrillated Cellulose (MFC) using acid hydrolysis method. However, the major challenge in using acid hydrolysis method is the low amount of yield. Three experimental factors that includes; acid concentration, hydrolysis time and temperature show the highest effect in yield and quality of MFC. Therefore, this experiment was designed to optimize the effect of these three independent factors on yield (%) and width (nm) of MFC. Response surface methodology was adapted to design the experiment and ANOVA statistical test results were used to determine the significant effect of those listed parameters on acid hydrolysis.","PeriodicalId":6855,"journal":{"name":"2021 Moratuwa Engineering Research Conference (MERCon)","volume":"22 1","pages":"54-59"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73181779","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}
Pub Date : 2021-07-27DOI: 10.1109/MERCon52712.2021.9525715
Milindu Jayasekara, S. Herath, Nishangani Gowrikanthan, Chinthaka Mallikarachchi
The mechanical behaviour of woven fibre composites is of paramount importance owing to the rapid use of these engineered materials in various industries. A meso-mechanical representative unit cell (RUC) is generally used to represent the material for predicting mechanical behaviour in a virtual environment. However, the selection of the RUC size and fibre arrangement has not been studied in detail. Therefore, the objective of this study is to investigate the effect of size and the relative positioning of plies of an RUC of two-ply plain weave carbon fibre laminate on mechanical property predictions. First, a series of meso-mechanical models with different relative positionings of plies and sizes of RUCs were modelled. Then the constitutive relationship was developed for each RUC model. Finally, the calculated mechanical properties are compared with the experimental results to investigate the influence of size and relative positioning on the predictions. The results indicate that the effect of both the size and relative positioning of the RUC is minimal except for a few parameters. This leads to the conclusion that a minor effect on the mechanical properties of woven fibre composites exists especially from the size of RUC.
{"title":"Size Effect and Fibre Arrangement on Meso-Mechanical Modelling of Woven Fibre Composites","authors":"Milindu Jayasekara, S. Herath, Nishangani Gowrikanthan, Chinthaka Mallikarachchi","doi":"10.1109/MERCon52712.2021.9525715","DOIUrl":"https://doi.org/10.1109/MERCon52712.2021.9525715","url":null,"abstract":"The mechanical behaviour of woven fibre composites is of paramount importance owing to the rapid use of these engineered materials in various industries. A meso-mechanical representative unit cell (RUC) is generally used to represent the material for predicting mechanical behaviour in a virtual environment. However, the selection of the RUC size and fibre arrangement has not been studied in detail. Therefore, the objective of this study is to investigate the effect of size and the relative positioning of plies of an RUC of two-ply plain weave carbon fibre laminate on mechanical property predictions. First, a series of meso-mechanical models with different relative positionings of plies and sizes of RUCs were modelled. Then the constitutive relationship was developed for each RUC model. Finally, the calculated mechanical properties are compared with the experimental results to investigate the influence of size and relative positioning on the predictions. The results indicate that the effect of both the size and relative positioning of the RUC is minimal except for a few parameters. This leads to the conclusion that a minor effect on the mechanical properties of woven fibre composites exists especially from the size of RUC.","PeriodicalId":6855,"journal":{"name":"2021 Moratuwa Engineering Research Conference (MERCon)","volume":"70 1","pages":"124-129"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84217063","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}
Pub Date : 2021-07-27DOI: 10.1109/MERCon52712.2021.9525655
D. Senevirathne, V. Jayasooriya, S. Muthukumaran
The urban environment is continuously expanding and the majority of the green spaces in urban areas are replaced by various grey infrastructure such as buildings, roads, and pavements. Improper planning of infrastructure exacerbates negative impacts on urban microclimates that leads to an increase in average annual air temperatures by 1°C to 3°C, demonstrating an effect known as Urban Heat Island (UHI). Approximately one-third of the urban land uses are known to be covered with paved surfaces. Therefore, the contribution of pavements to UHI is of a serious concern. The energy performance of grey infrastructure is largely influenced by the materials associated, and the material's street physical properties. Identification of the thermal performance variations of pavers of alternative materials will assist landscape planners to select suitable paver types in an optimal way to reduce UHI, after considering the surrounding structures and the direction of shading. The current study was concentrated on three pavement types representing changes in materials; 1) Cement Pavers (CP), 2) Terracotta Pavers (TP) and 3) Grass Pavers (GP), to assess the thermal performance of pavement designs which are commonly used for urban pavement construction. The study was conducted in an urban environment in Colombo, Sri Lanka by considering three replicates for each material. One-way ANOVA was performed to analyze the significant differences on the thermal performance of different material types. According to the results obtained, both TP and GP showed significant difference to the thermal performance of CP from 9.00 AM to 3.00 PM. Furthermore, between 8.00 AM–3.00 PM there was no significance difference among the performance between GP and TP. However, TP showed the lowest surface temperature levels and heat emittance considering heat levels throughout the day. The maximum temperature difference compared to CP was shown at 1.00 PM as 4.49°C with TP and as 4.42°C with GP. The findings of this study provide valuable insights in integrating commonly used materials in pavement designing for urban areas, in order to regulate microclimates and reduce the impacts of UHI.
{"title":"A Study on Pedestrian Pavement Thermal Performance with Reference to Associated Materials","authors":"D. Senevirathne, V. Jayasooriya, S. Muthukumaran","doi":"10.1109/MERCon52712.2021.9525655","DOIUrl":"https://doi.org/10.1109/MERCon52712.2021.9525655","url":null,"abstract":"The urban environment is continuously expanding and the majority of the green spaces in urban areas are replaced by various grey infrastructure such as buildings, roads, and pavements. Improper planning of infrastructure exacerbates negative impacts on urban microclimates that leads to an increase in average annual air temperatures by 1°C to 3°C, demonstrating an effect known as Urban Heat Island (UHI). Approximately one-third of the urban land uses are known to be covered with paved surfaces. Therefore, the contribution of pavements to UHI is of a serious concern. The energy performance of grey infrastructure is largely influenced by the materials associated, and the material's street physical properties. Identification of the thermal performance variations of pavers of alternative materials will assist landscape planners to select suitable paver types in an optimal way to reduce UHI, after considering the surrounding structures and the direction of shading. The current study was concentrated on three pavement types representing changes in materials; 1) Cement Pavers (CP), 2) Terracotta Pavers (TP) and 3) Grass Pavers (GP), to assess the thermal performance of pavement designs which are commonly used for urban pavement construction. The study was conducted in an urban environment in Colombo, Sri Lanka by considering three replicates for each material. One-way ANOVA was performed to analyze the significant differences on the thermal performance of different material types. According to the results obtained, both TP and GP showed significant difference to the thermal performance of CP from 9.00 AM to 3.00 PM. Furthermore, between 8.00 AM–3.00 PM there was no significance difference among the performance between GP and TP. However, TP showed the lowest surface temperature levels and heat emittance considering heat levels throughout the day. The maximum temperature difference compared to CP was shown at 1.00 PM as 4.49°C with TP and as 4.42°C with GP. The findings of this study provide valuable insights in integrating commonly used materials in pavement designing for urban areas, in order to regulate microclimates and reduce the impacts of UHI.","PeriodicalId":6855,"journal":{"name":"2021 Moratuwa Engineering Research Conference (MERCon)","volume":"EC-1 1","pages":"637-642"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84486649","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}
Pub Date : 2021-07-27DOI: 10.1109/MERCon52712.2021.9525681
W.M.R.V. Wijepala, G. De Silva
The demand for expressways in Sri Lanka is rapidly increasing with the increasing traffic congestion in alternate roads. Traffic management strategies have to be considered with further increase in demand for expressways. Deviating from traditional expensive methods of traffic data collection, a more economical and reliable data collection method is needed for developing countries. This study aims to develop a Cell Transmission Model using crowdsourced traffic data collected by Google Distance Matrix API. An expressway section was selected and divided into number of cells. The average speed of each cell was collected from Google maps using the M-TRADA platform for every 5-minutes interval. The speed data collected were represented in a spatiotemporal graph. The cell lengths were varied to identify the optimum cell lengths for the model. It was found that the vehicle flow in the selected section is significantly lower than the capacity of the expressway. Therefore, significant speed drops are not frequent. This model is more useful for expressways when it's at higher demand. A user interface is proposed for a web application that can be developed using this model for real-time traffic monitoring purposes, which even non-expert users will be able to because of the simplicity.
{"title":"Development of a Cell Transmission Model Using Crowdsourced Data for Expressways","authors":"W.M.R.V. Wijepala, G. De Silva","doi":"10.1109/MERCon52712.2021.9525681","DOIUrl":"https://doi.org/10.1109/MERCon52712.2021.9525681","url":null,"abstract":"The demand for expressways in Sri Lanka is rapidly increasing with the increasing traffic congestion in alternate roads. Traffic management strategies have to be considered with further increase in demand for expressways. Deviating from traditional expensive methods of traffic data collection, a more economical and reliable data collection method is needed for developing countries. This study aims to develop a Cell Transmission Model using crowdsourced traffic data collected by Google Distance Matrix API. An expressway section was selected and divided into number of cells. The average speed of each cell was collected from Google maps using the M-TRADA platform for every 5-minutes interval. The speed data collected were represented in a spatiotemporal graph. The cell lengths were varied to identify the optimum cell lengths for the model. It was found that the vehicle flow in the selected section is significantly lower than the capacity of the expressway. Therefore, significant speed drops are not frequent. This model is more useful for expressways when it's at higher demand. A user interface is proposed for a web application that can be developed using this model for real-time traffic monitoring purposes, which even non-expert users will be able to because of the simplicity.","PeriodicalId":6855,"journal":{"name":"2021 Moratuwa Engineering Research Conference (MERCon)","volume":"6 1","pages":"468-473"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84682243","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}
Pub Date : 2021-07-27DOI: 10.1109/MERCon52712.2021.9525804
N.M. Kahingala, J. Gamage, H. Punchihewa
Automotive remanufacturing provides a sustainable solution for waste generation in the automotive industry. Although the automotive remanufacturing industry is prominently seen in countries such as the UK, USA and China, it is now expanding to other parts of the world including India, Japan, Malaysia, and Singapore. Being a country having an automotive industry with significant value addition, Sri Lanka also possesses a high potential for remanufacturing. However, evidence of such industries is hardly seen. Therefore, the aim of the presented research was to develop a conceptual framework to identify barriers and propose solutions in the automotive remanufacturing industry in Sri Lanka. In this pursuit, a comprehensive review of the literature was performed. This was followed by informal interviews with people involved in the automotive remanufacturing businesses. The conceptual framework was then developed based on the challenges in each stage of the remanufacturing process against the three levels of interventions: Educational, regulatory body, and prevailing market conditions. It was revealed from the framework that most of the challenges were linked to the prevailing market conditions. Therefore, this paper provides a basis for encouraging the stakeholders to find suitable strategies in addressing the barriers associated with automotive remanufacturing in Sri Lanka.
{"title":"A Conceptual Framework for the Identification of Barriers in Automotive Remanufacturing Industry in Sri Lanka","authors":"N.M. Kahingala, J. Gamage, H. Punchihewa","doi":"10.1109/MERCon52712.2021.9525804","DOIUrl":"https://doi.org/10.1109/MERCon52712.2021.9525804","url":null,"abstract":"Automotive remanufacturing provides a sustainable solution for waste generation in the automotive industry. Although the automotive remanufacturing industry is prominently seen in countries such as the UK, USA and China, it is now expanding to other parts of the world including India, Japan, Malaysia, and Singapore. Being a country having an automotive industry with significant value addition, Sri Lanka also possesses a high potential for remanufacturing. However, evidence of such industries is hardly seen. Therefore, the aim of the presented research was to develop a conceptual framework to identify barriers and propose solutions in the automotive remanufacturing industry in Sri Lanka. In this pursuit, a comprehensive review of the literature was performed. This was followed by informal interviews with people involved in the automotive remanufacturing businesses. The conceptual framework was then developed based on the challenges in each stage of the remanufacturing process against the three levels of interventions: Educational, regulatory body, and prevailing market conditions. It was revealed from the framework that most of the challenges were linked to the prevailing market conditions. Therefore, this paper provides a basis for encouraging the stakeholders to find suitable strategies in addressing the barriers associated with automotive remanufacturing in Sri Lanka.","PeriodicalId":6855,"journal":{"name":"2021 Moratuwa Engineering Research Conference (MERCon)","volume":"42 1","pages":"107-112"},"PeriodicalIF":0.0,"publicationDate":"2021-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80786190","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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