Pub Date : 2018-05-01DOI: 10.1109/MERCON.2018.8421947
D. Wickramasinghe, M. Narayana, A. Amarasinghe
Biomass has already taken its much-needed attention as an energy source due to its zero carbon emission and renewability. Among various types, biomass residues such as sawdust and rice husk show economical potential due to their abundance. However, its optimum conversion is utmost necessary for clean and sustainable consumption. The suspension combustion is one of the promising energy conversion technologies for biomass residues. However, because of complex reaction schemes and various characteristic properties of biomass, it has become difficult to optimize the conventional suspension combustor. To overcome these difficulties, a numerical model was developed in this study to analyze the transport phenomena in the combustor. The CFD model was based on Eulerian-Lagrangian concept, which tracks each biomass particle individually with association of multiple physics and thermo-chemical properties. The model was validated using an industrial suspension type combustor.
{"title":"Numerical Simulation of Suspension Biomass Combustor with Two Chambers","authors":"D. Wickramasinghe, M. Narayana, A. Amarasinghe","doi":"10.1109/MERCON.2018.8421947","DOIUrl":"https://doi.org/10.1109/MERCON.2018.8421947","url":null,"abstract":"Biomass has already taken its much-needed attention as an energy source due to its zero carbon emission and renewability. Among various types, biomass residues such as sawdust and rice husk show economical potential due to their abundance. However, its optimum conversion is utmost necessary for clean and sustainable consumption. The suspension combustion is one of the promising energy conversion technologies for biomass residues. However, because of complex reaction schemes and various characteristic properties of biomass, it has become difficult to optimize the conventional suspension combustor. To overcome these difficulties, a numerical model was developed in this study to analyze the transport phenomena in the combustor. The CFD model was based on Eulerian-Lagrangian concept, which tracks each biomass particle individually with association of multiple physics and thermo-chemical properties. The model was validated using an industrial suspension type combustor.","PeriodicalId":6603,"journal":{"name":"2018 Moratuwa Engineering Research Conference (MERCon)","volume":"4 1","pages":"226-230"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83170940","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 : 2018-05-01DOI: 10.1109/MERCON.2018.8421997
Sandareka Fernando, Surangika Ranathunga
This paper presents a comparative evaluation of three state-of-the-art classifiers for Sinhala Parts-of-Speech (POS) tagging. Support Vector Machines (SVM), Hidden Markov Models (HMM) and Conditional Random Fields (CRF) based POS tagger models are generated and tested using different combinations of a corpus of news articles and a corpus of official government documents. CRF is used for the first time in Sinhala POS tagging, thus the best feature set is experimentally derived. To further improve the accuracy of POS tagging, a majority voting based ensemble tagger is created using three individual taggers. This ensemble tagger achieved the highest accuracy in POS tagging than any individual tagger. The two domains (news, and official government documents) used in this study have noticeable differences in writing style and vocabulary. Generating domain specific POS taggers is time consuming and costly due to the overhead involved in creating and manually tagging domain specific corpora, for low resourced languages in particular. Therefore, this study also evaluates the possibility and successfulness of using corpora of different domains in training and testing phases of aforementioned machine learning techniques.
{"title":"Evaluation of Different Classifiers for Sinhala POS Tagging","authors":"Sandareka Fernando, Surangika Ranathunga","doi":"10.1109/MERCON.2018.8421997","DOIUrl":"https://doi.org/10.1109/MERCON.2018.8421997","url":null,"abstract":"This paper presents a comparative evaluation of three state-of-the-art classifiers for Sinhala Parts-of-Speech (POS) tagging. Support Vector Machines (SVM), Hidden Markov Models (HMM) and Conditional Random Fields (CRF) based POS tagger models are generated and tested using different combinations of a corpus of news articles and a corpus of official government documents. CRF is used for the first time in Sinhala POS tagging, thus the best feature set is experimentally derived. To further improve the accuracy of POS tagging, a majority voting based ensemble tagger is created using three individual taggers. This ensemble tagger achieved the highest accuracy in POS tagging than any individual tagger. The two domains (news, and official government documents) used in this study have noticeable differences in writing style and vocabulary. Generating domain specific POS taggers is time consuming and costly due to the overhead involved in creating and manually tagging domain specific corpora, for low resourced languages in particular. Therefore, this study also evaluates the possibility and successfulness of using corpora of different domains in training and testing phases of aforementioned machine learning techniques.","PeriodicalId":6603,"journal":{"name":"2018 Moratuwa Engineering Research Conference (MERCon)","volume":"11 1","pages":"96-101"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89159328","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 : 2018-05-01DOI: 10.1109/MERCON.2018.8422001
Sameera Prasani, Anuja Fernando
Air transport network plays a major role in catalyzing globalization through facilitating the movement of goods and people between countries. This study analysed the connectivity of the airline network of the national carrier of Sri Lanka and identified the critical airports and their impact to the network. The study considered the network of Sri Lankan Airlines for the analysis and used flight stats data for data collection. Dubai International Airport (DXB), Delhi International Airport (DEL) and Kuala Lumpur International Airport (KUL) had the highest degree centrality in the network, indicating strong connectivity with other nodes in the network. Thus the most critical airports in the network. While Gan International Airport (GAN) and Seychells International Airport (SEZ) indicated the lowest degree centrality. Degree centrality of the nodes in the networked changed when critical airports were removed from the network. Combaitre International Airport (CJB) is having the highest closeness centrality indicating the ease of movement between the nodes. Removing the critical airports with from the network affected the closeness centrality score of the nodes.
{"title":"Analysis on Centrality Index of Air Network","authors":"Sameera Prasani, Anuja Fernando","doi":"10.1109/MERCON.2018.8422001","DOIUrl":"https://doi.org/10.1109/MERCON.2018.8422001","url":null,"abstract":"Air transport network plays a major role in catalyzing globalization through facilitating the movement of goods and people between countries. This study analysed the connectivity of the airline network of the national carrier of Sri Lanka and identified the critical airports and their impact to the network. The study considered the network of Sri Lankan Airlines for the analysis and used flight stats data for data collection. Dubai International Airport (DXB), Delhi International Airport (DEL) and Kuala Lumpur International Airport (KUL) had the highest degree centrality in the network, indicating strong connectivity with other nodes in the network. Thus the most critical airports in the network. While Gan International Airport (GAN) and Seychells International Airport (SEZ) indicated the lowest degree centrality. Degree centrality of the nodes in the networked changed when critical airports were removed from the network. Combaitre International Airport (CJB) is having the highest closeness centrality indicating the ease of movement between the nodes. Removing the critical airports with from the network affected the closeness centrality score of the nodes.","PeriodicalId":6603,"journal":{"name":"2018 Moratuwa Engineering Research Conference (MERCon)","volume":"42 1","pages":"167-172"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75586614","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 : 2018-05-01DOI: 10.1109/MERCON.2018.8421885
N. Nanayakkara, S C Munasingha, G P Ruwanpathirana
Diabetes needs regular blood glucose monitoring to control it. Invasive blood glucose measuring is the current gold standard. It causes discomfort for the patient and sometimes even infections. Researchers around the world have reported different techniques to measure blood glucose levels non-invasively, but a universally acceptable method with required accuracy is not yet available. We proposed a novel approach to measure blood glucose level non-invasively using a hybrid technique combining Near InfraRed (NIR) absorption and bio-impedance measurements. We tested the methods individually first. Then Artificial Neural Network (ANN) and least squares regression were used to integrate the two methods. The combined methods showed better accuracy compared to the individual measurements. The hybrid technique developed using the linear regression models showed a superior outcome with 90% and 10% of the data points in the regions A and B of the Clarke error grid, which are considered acceptable.
{"title":"Non-Invasive Blood Glucose Monitoring using a Hybrid Technique","authors":"N. Nanayakkara, S C Munasingha, G P Ruwanpathirana","doi":"10.1109/MERCON.2018.8421885","DOIUrl":"https://doi.org/10.1109/MERCON.2018.8421885","url":null,"abstract":"Diabetes needs regular blood glucose monitoring to control it. Invasive blood glucose measuring is the current gold standard. It causes discomfort for the patient and sometimes even infections. Researchers around the world have reported different techniques to measure blood glucose levels non-invasively, but a universally acceptable method with required accuracy is not yet available. We proposed a novel approach to measure blood glucose level non-invasively using a hybrid technique combining Near InfraRed (NIR) absorption and bio-impedance measurements. We tested the methods individually first. Then Artificial Neural Network (ANN) and least squares regression were used to integrate the two methods. The combined methods showed better accuracy compared to the individual measurements. The hybrid technique developed using the linear regression models showed a superior outcome with 90% and 10% of the data points in the regions A and B of the Clarke error grid, which are considered acceptable.","PeriodicalId":6603,"journal":{"name":"2018 Moratuwa Engineering Research Conference (MERCon)","volume":"47 1","pages":"7-12"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76510583","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 : 2018-05-01DOI: 10.1109/MERCON.2018.8421982
A. Kariapper, D. Nanayakkara
A mathematical formula was derived to predict the porosity of pervious concrete (PC) at its fresh state. Coarse aggregates (CA) within the size ranges of 0.016–0.02m and 0.01–0.014m were used in the study. Pervious concrete was mixed for two stages. A w-c ratio of 0.3 was used in the study. A scaling factor was defined to represent the thickness of cement paste coated around CA. The scaling factor is independent of the size of CA used and their volume based binary combinations. The percentage difference between the two scaling factor values obtained for CA having a size of 0.01–0.014m was calculated to be 1.14 percent. The tested wet density in all PC batches made in the first stage was approximately 170–264kg/m3 lesser than the designed wet density. The difference between the tested porosity values and the porosity values calculated by the mathematical model has been developed is approximately 0.01–0.015m3 for all pervious concrete batches. It was observed that as the scaling factor increases the wet density increases and the porosity reduces. The porosity values calculated by the mathematical model and the tested porosity show a very strong linear relationship.
{"title":"A New Approach to Predict the Porosity of Pervious Concrete at Its Fresh State","authors":"A. Kariapper, D. Nanayakkara","doi":"10.1109/MERCON.2018.8421982","DOIUrl":"https://doi.org/10.1109/MERCON.2018.8421982","url":null,"abstract":"A mathematical formula was derived to predict the porosity of pervious concrete (PC) at its fresh state. Coarse aggregates (CA) within the size ranges of 0.016–0.02m and 0.01–0.014m were used in the study. Pervious concrete was mixed for two stages. A w-c ratio of 0.3 was used in the study. A scaling factor was defined to represent the thickness of cement paste coated around CA. The scaling factor is independent of the size of CA used and their volume based binary combinations. The percentage difference between the two scaling factor values obtained for CA having a size of 0.01–0.014m was calculated to be 1.14 percent. The tested wet density in all PC batches made in the first stage was approximately 170–264kg/m3 lesser than the designed wet density. The difference between the tested porosity values and the porosity values calculated by the mathematical model has been developed is approximately 0.01–0.015m3 for all pervious concrete batches. It was observed that as the scaling factor increases the wet density increases and the porosity reduces. The porosity values calculated by the mathematical model and the tested porosity show a very strong linear relationship.","PeriodicalId":6603,"journal":{"name":"2018 Moratuwa Engineering Research Conference (MERCon)","volume":"15 1","pages":"173-178"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74750916","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 : 2018-05-01DOI: 10.1109/MERCON.2018.8421966
Lasitha Konara, I. Perera, Sujith Gunewardhane
Many software companies use the popular method of layered architecture to develop their software products resulting in code to be more generic. This generalization introduces a lot of unnecessary elements which make the system architecture to be heavy and less elegant. To overcome this challenge, a concept of feature oriented software development (FOSD) is introduced. That way, the software system will be delivered as a set of features and the feature set could be decoupled at any time, according to the latest set of requirements without harming to any existing functionality. In this research the final outcome has been a feature oriented domain specific language (DSL). The objective of this developed feature oriented DSL is to make it effective even for business analysts to introduce new features without getting help from the development team of the project. A code generator and a core controller have been developed as part of this research exhibiting the above mentioned FOSD & DSL principles. The evaluation results indicate the generated feature oriented code identically behaves as its manually written counterpart code.
{"title":"Feature Oriented Software Development Framework for Stock Exchange Systems","authors":"Lasitha Konara, I. Perera, Sujith Gunewardhane","doi":"10.1109/MERCON.2018.8421966","DOIUrl":"https://doi.org/10.1109/MERCON.2018.8421966","url":null,"abstract":"Many software companies use the popular method of layered architecture to develop their software products resulting in code to be more generic. This generalization introduces a lot of unnecessary elements which make the system architecture to be heavy and less elegant. To overcome this challenge, a concept of feature oriented software development (FOSD) is introduced. That way, the software system will be delivered as a set of features and the feature set could be decoupled at any time, according to the latest set of requirements without harming to any existing functionality. In this research the final outcome has been a feature oriented domain specific language (DSL). The objective of this developed feature oriented DSL is to make it effective even for business analysts to introduce new features without getting help from the development team of the project. A code generator and a core controller have been developed as part of this research exhibiting the above mentioned FOSD & DSL principles. The evaluation results indicate the generated feature oriented code identically behaves as its manually written counterpart code.","PeriodicalId":6603,"journal":{"name":"2018 Moratuwa Engineering Research Conference (MERCon)","volume":"37 1","pages":"78-83"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86828457","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 : 2018-05-01DOI: 10.1109/MERCON.2018.8421927
H. De Zoysa, M. G. D. Madushani, G. Siriwardhana, K. U. N. S. S. Wijethunge, J. R. Lucas, R. Samarasinghe
This paper discusses the use of electromagnetic method of partial discharge detection for detecting and localizing partial discharges in high voltage insulators. In a power system, the condition of power line insulation used in transmission and distribution networks play a vital role in providing an uninterrupted power supply. Partial discharges that form in the insulators may be one of the main reasons for the failure of power line insulators. Therefore, pre-identifying partial discharges in high voltage insulators is essential in maintaining a reliable power system. In this study, a log periodic antenna is designed in order to detect the electromagnetic signals emitted from partial discharges, which are in a wide frequency band. Although the acoustic method can be used to localize the source of partial discharges, background noise can interfere with the process. Thus, in order to detect the electromagnetic signals in the wide frequency band, a log periodic antenna in the range 0.9 – 2 GHz has been designed. To localize and measure the severity of the source of partial discharges on the insulators, the designed antenna is mounted on an unmanned aerial vehicle.
{"title":"Log Periodic Antenna Based Partial Discharge Detector for Condition Monitoring of High Voltage Insulators","authors":"H. De Zoysa, M. G. D. Madushani, G. Siriwardhana, K. U. N. S. S. Wijethunge, J. R. Lucas, R. Samarasinghe","doi":"10.1109/MERCON.2018.8421927","DOIUrl":"https://doi.org/10.1109/MERCON.2018.8421927","url":null,"abstract":"This paper discusses the use of electromagnetic method of partial discharge detection for detecting and localizing partial discharges in high voltage insulators. In a power system, the condition of power line insulation used in transmission and distribution networks play a vital role in providing an uninterrupted power supply. Partial discharges that form in the insulators may be one of the main reasons for the failure of power line insulators. Therefore, pre-identifying partial discharges in high voltage insulators is essential in maintaining a reliable power system. In this study, a log periodic antenna is designed in order to detect the electromagnetic signals emitted from partial discharges, which are in a wide frequency band. Although the acoustic method can be used to localize the source of partial discharges, background noise can interfere with the process. Thus, in order to detect the electromagnetic signals in the wide frequency band, a log periodic antenna in the range 0.9 – 2 GHz has been designed. To localize and measure the severity of the source of partial discharges on the insulators, the designed antenna is mounted on an unmanned aerial vehicle.","PeriodicalId":6603,"journal":{"name":"2018 Moratuwa Engineering Research Conference (MERCon)","volume":"76 1","pages":"477-481"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83841942","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 : 2018-05-01DOI: 10.1109/MERCON.2018.8422004
A. Weerasingha, A.D.K.H. Pragnathilaka, W. Withanage, R. Ranaweera, R. Gopura
This paper proposes a three degrees of freedom (DOF) robotic ankle exoskeleton with compatible joint axes, named C-JAE. The device consists of three separate units to achieve triplanar motions. The plantarflexion-dorsiflexion and inversion-eversion are externally powered, whereas internal-external rotation is passively supported. C-JAE is capable of complying with the functional and ergonomic requirements of the biological ankle joint. This is achieved by accurately mapping exoskeleton axes of rotation with the oblique axes of rotation of talocrural and subtalar joints of ankle. All mechanisms including the drive units are located anterior to shank and foot segments to carry out robotic rehabilitation and/or to provide locomotion assistance for humans having mobility disorders. Control experiments were conducted to assess aptitude of C-JAE to carry out ankle rehabilitation exercises. The results verified potential benefits of the proposed design to generate desired movement patterns of daily activities while providing power-assistance.
{"title":"C-JAE: 3 DOF Robotic Ankle Exoskeleton with Compatible Joint Axes","authors":"A. Weerasingha, A.D.K.H. Pragnathilaka, W. Withanage, R. Ranaweera, R. Gopura","doi":"10.1109/MERCON.2018.8422004","DOIUrl":"https://doi.org/10.1109/MERCON.2018.8422004","url":null,"abstract":"This paper proposes a three degrees of freedom (DOF) robotic ankle exoskeleton with compatible joint axes, named C-JAE. The device consists of three separate units to achieve triplanar motions. The plantarflexion-dorsiflexion and inversion-eversion are externally powered, whereas internal-external rotation is passively supported. C-JAE is capable of complying with the functional and ergonomic requirements of the biological ankle joint. This is achieved by accurately mapping exoskeleton axes of rotation with the oblique axes of rotation of talocrural and subtalar joints of ankle. All mechanisms including the drive units are located anterior to shank and foot segments to carry out robotic rehabilitation and/or to provide locomotion assistance for humans having mobility disorders. Control experiments were conducted to assess aptitude of C-JAE to carry out ankle rehabilitation exercises. The results verified potential benefits of the proposed design to generate desired movement patterns of daily activities while providing power-assistance.","PeriodicalId":6603,"journal":{"name":"2018 Moratuwa Engineering Research Conference (MERCon)","volume":"9 1","pages":"270-275"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84285651","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 : 2018-05-01DOI: 10.1109/MERCON.2018.8421913
W. Jayarathne, W. A. T. Nimansala, S. Adikary
Piezoelectric energy harvesting has become popular among researchers because of the ease of converting mechanical energy into electrical energy using piezoelectric materials. In this context, a vibration energy harvesting device was developed to harvest vibration energy from vehicles. Lead zirconate titanate (PZT) was selected as the piezoelectric material. First the vibration sources were analyzed to identify the resonant frequency. Piezoelectric energy harvester was developed using the cantilever type configuration. Euler–Bernoulli beam theory was used to analyze the cantilever beam under free vibration. Finite element analysis (FEA) was used to identify the design parameters of the prototype which includes the metal beam, tip mass and the PZT plate. The maximum theoretical voltage was obtained as 5.99V according to the FEA modeling. The prototype was developed and voltage was measured fixing the prototype to the motor bike. The average voltage output was 3.65V.
{"title":"Development of a Vibration Energy Harvesting Device Using Piezoelectric Sensors","authors":"W. Jayarathne, W. A. T. Nimansala, S. Adikary","doi":"10.1109/MERCON.2018.8421913","DOIUrl":"https://doi.org/10.1109/MERCON.2018.8421913","url":null,"abstract":"Piezoelectric energy harvesting has become popular among researchers because of the ease of converting mechanical energy into electrical energy using piezoelectric materials. In this context, a vibration energy harvesting device was developed to harvest vibration energy from vehicles. Lead zirconate titanate (PZT) was selected as the piezoelectric material. First the vibration sources were analyzed to identify the resonant frequency. Piezoelectric energy harvester was developed using the cantilever type configuration. Euler–Bernoulli beam theory was used to analyze the cantilever beam under free vibration. Finite element analysis (FEA) was used to identify the design parameters of the prototype which includes the metal beam, tip mass and the PZT plate. The maximum theoretical voltage was obtained as 5.99V according to the FEA modeling. The prototype was developed and voltage was measured fixing the prototype to the motor bike. The average voltage output was 3.65V.","PeriodicalId":6603,"journal":{"name":"2018 Moratuwa Engineering Research Conference (MERCon)","volume":"63 1","pages":"197-202"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87712909","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 : 2018-05-01DOI: 10.1109/MERCON.2018.8422006
W.M.D. Ruchira Prasad, G. Perera, K. V. Jeeva Padmini, H. D. Dilum Bandara
While the application of agile principles leads to better project success, some projects still fail due to insufficient understanding of client’s exact requirements. Agile teams have recently started adopting Design Thinking (DT) practices to better understand what is in customers’ mind. We explore suitable DT practices to satisfy customer expectations in agile teams using inductive reasoning. We first formulated a conceptual framework based on a literature review. We then conducted a set of interviews with fifteen domain experts from ten IT service organizations. Interview findings were then analyzed using the Straussian grounded theory. Customer journey, story mapping, prototypes, POC, and customer profiling were determined to be the most suitable methods to identify the needs of customers. Moreover, practicing human-centered approach through workshops, discussions, team communication, and end-user interaction through UAT were also identified to be effective. We further classified the best practices into five categories as customer’s real need identification, transforming customer’s real needs into pilot solutions, visualizing the pilot solution for customer feedback, idea generation for the pilot solution, and brainstorming. Based on these findings, we also derived a framework to achieve customer satisfaction through the adoption of DT in agile-base projects.
{"title":"Adopting Design Thinking Practices to Satisfy Customer Expectations in Agile Practices: A Case from Sri Lankan Software Development Industry","authors":"W.M.D. Ruchira Prasad, G. Perera, K. V. Jeeva Padmini, H. D. Dilum Bandara","doi":"10.1109/MERCON.2018.8422006","DOIUrl":"https://doi.org/10.1109/MERCON.2018.8422006","url":null,"abstract":"While the application of agile principles leads to better project success, some projects still fail due to insufficient understanding of client’s exact requirements. Agile teams have recently started adopting Design Thinking (DT) practices to better understand what is in customers’ mind. We explore suitable DT practices to satisfy customer expectations in agile teams using inductive reasoning. We first formulated a conceptual framework based on a literature review. We then conducted a set of interviews with fifteen domain experts from ten IT service organizations. Interview findings were then analyzed using the Straussian grounded theory. Customer journey, story mapping, prototypes, POC, and customer profiling were determined to be the most suitable methods to identify the needs of customers. Moreover, practicing human-centered approach through workshops, discussions, team communication, and end-user interaction through UAT were also identified to be effective. We further classified the best practices into five categories as customer’s real need identification, transforming customer’s real needs into pilot solutions, visualizing the pilot solution for customer feedback, idea generation for the pilot solution, and brainstorming. Based on these findings, we also derived a framework to achieve customer satisfaction through the adoption of DT in agile-base projects.","PeriodicalId":6603,"journal":{"name":"2018 Moratuwa Engineering Research Conference (MERCon)","volume":"29 1","pages":"471-476"},"PeriodicalIF":0.0,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85973098","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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