Pub Date : 2016-04-05DOI: 10.1109/MERCON.2016.7480141
M. Rodrigo, B. Perera
The construction industry comprises of numerous Nominated Subcontractors (NSCs) employed in various projects. Besides, plentiful NSCs enter into the industry due to ease of entry. However, all NSCs might not possess the required expertise to fulfill client's requirements. Thus, various issues have aroused due to improper selection of NSCs creating selection of NSCs vital. The study comprised of interviews and questionnaire survey to derive at the aim of this research. Besides, to understand and compare nominated subcontracting practices between Sri Lanka and other countries, a literature synthesis followed by interview and questionnaire survey were executed. The issues aroused due to improper selection and solutions to avoid them were identified through the literature synthesis; validated through the interviews; ranked through the questionnaire survey. On a positive note, selection method of NSC; subcontract signed between Main Contractor (MC) and NSC are used in Sri Lanka equalizing the nominated subcontracting practices in other countries. However, there is no form of subcontract prepared for Sri Lankan usage; no compulsory subcontractor registration procedure in Sri Lanka. Further, the most critical issue due to improper selection of NSC, is delays occurred by NSC. Moreover, NSC's program being in line with MC's program was recognized as the most important solution to avoid this issue. Hence, these solutions assist to avoid the occurrence of issues related to selection enabling proper selection of nominated subcontracting practices.
{"title":"Selection of Nominated Subcontractors in commercial building construction in Sri Lanka","authors":"M. Rodrigo, B. Perera","doi":"10.1109/MERCON.2016.7480141","DOIUrl":"https://doi.org/10.1109/MERCON.2016.7480141","url":null,"abstract":"The construction industry comprises of numerous Nominated Subcontractors (NSCs) employed in various projects. Besides, plentiful NSCs enter into the industry due to ease of entry. However, all NSCs might not possess the required expertise to fulfill client's requirements. Thus, various issues have aroused due to improper selection of NSCs creating selection of NSCs vital. The study comprised of interviews and questionnaire survey to derive at the aim of this research. Besides, to understand and compare nominated subcontracting practices between Sri Lanka and other countries, a literature synthesis followed by interview and questionnaire survey were executed. The issues aroused due to improper selection and solutions to avoid them were identified through the literature synthesis; validated through the interviews; ranked through the questionnaire survey. On a positive note, selection method of NSC; subcontract signed between Main Contractor (MC) and NSC are used in Sri Lanka equalizing the nominated subcontracting practices in other countries. However, there is no form of subcontract prepared for Sri Lankan usage; no compulsory subcontractor registration procedure in Sri Lanka. Further, the most critical issue due to improper selection of NSC, is delays occurred by NSC. Moreover, NSC's program being in line with MC's program was recognized as the most important solution to avoid this issue. Hence, these solutions assist to avoid the occurrence of issues related to selection enabling proper selection of nominated subcontracting practices.","PeriodicalId":184790,"journal":{"name":"2016 Moratuwa Engineering Research Conference (MERCon)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133894670","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 : 2016-04-05DOI: 10.1109/MERCON.2016.7480113
T. Udayanga, W. Jayathilaka, Y. Amarasinghe, D. Dao
This paper describes design and simulation of five degrees of freedom (5-DOF) Micro-Electro-Mechanical systems (MEMS) based tactile force sensor. Tactile sensing involves with measuring physical parameters such as force, temperature, etc. with the aid of physical touch. Over the past decades tactile sensors are gaining popularity over non-contact sensors in biomedical and robotic applications. Proposed sensor design with 3mm × 3mm × 300μm dimensions, has the capability to measure not only the magnitude but also the direction of the force applied. A wagon wheel spring structure was proposed, where 8 beams work as springs to relief the force applied. Behavior of these 8 beams are monitored under each loading conditions using defused piezoresistive sensing elements. A finite element analysis of structure was performed to optimize and validate the structure and Multiphysics analysis was performed to validate the working principal of the proposed sensor.
{"title":"Design and simulation of MEMS based 5-DOF tactile force sensor","authors":"T. Udayanga, W. Jayathilaka, Y. Amarasinghe, D. Dao","doi":"10.1109/MERCON.2016.7480113","DOIUrl":"https://doi.org/10.1109/MERCON.2016.7480113","url":null,"abstract":"This paper describes design and simulation of five degrees of freedom (5-DOF) Micro-Electro-Mechanical systems (MEMS) based tactile force sensor. Tactile sensing involves with measuring physical parameters such as force, temperature, etc. with the aid of physical touch. Over the past decades tactile sensors are gaining popularity over non-contact sensors in biomedical and robotic applications. Proposed sensor design with 3mm × 3mm × 300μm dimensions, has the capability to measure not only the magnitude but also the direction of the force applied. A wagon wheel spring structure was proposed, where 8 beams work as springs to relief the force applied. Behavior of these 8 beams are monitored under each loading conditions using defused piezoresistive sensing elements. A finite element analysis of structure was performed to optimize and validate the structure and Multiphysics analysis was performed to validate the working principal of the proposed sensor.","PeriodicalId":184790,"journal":{"name":"2016 Moratuwa Engineering Research Conference (MERCon)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133364832","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 : 2016-04-05DOI: 10.1109/MERCON.2016.7480162
A. E. Gunawaardena, R. Ruwanthika, A. Jayasekara
Fire detection system in the surveillance system monitors the indoor environment and issues alarm as part of the early warning mechanism with ultimate goal to provide an alarm at early stage before the fire become uncontrollable. Conventional fire detection systems suffer from the transparent delay from the fire to the sensor which is looking at a point. The reliability of the fire detection system mainly depends on the positional distribution of the sensors. This paper proposes novel method of fire detection by processing image sequence acquired from a video. The proposed video based fire-detection system uses adaptive background subtraction to detect foreground moving object and then verified by the rule based fire color model to determine whether the detected foreground object is a fire or not. YCbCr color space is used to model the fire pixel classification. In addition to the motion and color the detected fire candidate regions are analyzed in temporal domain to detect the fire flicker. Some Morphological operations are used to enhance the features of detected fire candidate region. All of the above clues are combining to form the fire detection system. The performance of the proposed algorithm is tested on two sets of videos comprising the fire, fire colored object and non-fire. The experimental results show that the proposed system is very successful in detecting fire and /or flames.
{"title":"Computer vision based fire alarming system","authors":"A. E. Gunawaardena, R. Ruwanthika, A. Jayasekara","doi":"10.1109/MERCON.2016.7480162","DOIUrl":"https://doi.org/10.1109/MERCON.2016.7480162","url":null,"abstract":"Fire detection system in the surveillance system monitors the indoor environment and issues alarm as part of the early warning mechanism with ultimate goal to provide an alarm at early stage before the fire become uncontrollable. Conventional fire detection systems suffer from the transparent delay from the fire to the sensor which is looking at a point. The reliability of the fire detection system mainly depends on the positional distribution of the sensors. This paper proposes novel method of fire detection by processing image sequence acquired from a video. The proposed video based fire-detection system uses adaptive background subtraction to detect foreground moving object and then verified by the rule based fire color model to determine whether the detected foreground object is a fire or not. YCbCr color space is used to model the fire pixel classification. In addition to the motion and color the detected fire candidate regions are analyzed in temporal domain to detect the fire flicker. Some Morphological operations are used to enhance the features of detected fire candidate region. All of the above clues are combining to form the fire detection system. The performance of the proposed algorithm is tested on two sets of videos comprising the fire, fire colored object and non-fire. The experimental results show that the proposed system is very successful in detecting fire and /or flames.","PeriodicalId":184790,"journal":{"name":"2016 Moratuwa Engineering Research Conference (MERCon)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131462397","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 : 2016-04-05DOI: 10.1109/MERCON.2016.7480171
C. Makavita, H. Nguyen, S. Jayasinghe, D. Ranmuthugala
Unmanned Underwater Vehicles (UUVs) are being deployed in advanced applications that require precise manoeuvring close to complex underwater structures such as oilrigs and subsea installations or moving objects such as submarines. The effect of vehicle hydrodynamic parameter variations is significant in such scenarios and in extreme conditions the UUV may experience loss of control. In addition, external disturbances present in these environments degrade the controllability of the UUV. Adaptive control has been identified as a promising solution that can improve the controllability in such situations. Nevertheless, adaptive control is not widely used within the industry mainly due to the trade-off between fast learning and smooth control signals. The Command Governor Adaptive Control (CGAC) has recently been proposed as a better compromise between the two extremes. In this paper, the performance of CGAC is investigated in the presence of measurement noise and actuator dead-zone. Simulation results show that that the CGAC is highly effective in retaining good tracking performance even in the presence of significant noise within the feedback signals and an unknown dead-zone in the actuator.
{"title":"Command Governor Adaptive Control for Unmanned Underwater Vehicles with measurement noise and actuator dead-zone","authors":"C. Makavita, H. Nguyen, S. Jayasinghe, D. Ranmuthugala","doi":"10.1109/MERCON.2016.7480171","DOIUrl":"https://doi.org/10.1109/MERCON.2016.7480171","url":null,"abstract":"Unmanned Underwater Vehicles (UUVs) are being deployed in advanced applications that require precise manoeuvring close to complex underwater structures such as oilrigs and subsea installations or moving objects such as submarines. The effect of vehicle hydrodynamic parameter variations is significant in such scenarios and in extreme conditions the UUV may experience loss of control. In addition, external disturbances present in these environments degrade the controllability of the UUV. Adaptive control has been identified as a promising solution that can improve the controllability in such situations. Nevertheless, adaptive control is not widely used within the industry mainly due to the trade-off between fast learning and smooth control signals. The Command Governor Adaptive Control (CGAC) has recently been proposed as a better compromise between the two extremes. In this paper, the performance of CGAC is investigated in the presence of measurement noise and actuator dead-zone. Simulation results show that that the CGAC is highly effective in retaining good tracking performance even in the presence of significant noise within the feedback signals and an unknown dead-zone in the actuator.","PeriodicalId":184790,"journal":{"name":"2016 Moratuwa Engineering Research Conference (MERCon)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114803344","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 : 2016-04-05DOI: 10.1109/MERCON.2016.7480118
H. M. D. Eranjith, I. D. Fernando, G. Fernando, W. C. M. Soysa, V. S. D. Jayasena
With a framework like OpenTuner, one could build domain-specific multi-objective program auto-tuners and gain significant performance improvements. But explaining why and interpreting the results are often hard, mainly due to the large number of parameters and the inability to figure out how each parameter affects the performance improvement. We have a solution that can explain the performance improvements by identifying key parameters while providing better insights on the tuning process. Our tool uses machine learning techniques to identify parameters which account for a significant performance improvement. A user could utilize different methods provided in the tool to further experiment and verify the accuracy of such findings. Further, our tool uses multidimensional scaling to display all the configurations in a two dimensional graph. This interface allows users to analyze the search space closely and identify clusters of configurations with good or bad performance. It also provides real-time information of tuning process which would help users to optimize the tuning process.
{"title":"A visualization and analysis platform for performance tuning","authors":"H. M. D. Eranjith, I. D. Fernando, G. Fernando, W. C. M. Soysa, V. S. D. Jayasena","doi":"10.1109/MERCON.2016.7480118","DOIUrl":"https://doi.org/10.1109/MERCON.2016.7480118","url":null,"abstract":"With a framework like OpenTuner, one could build domain-specific multi-objective program auto-tuners and gain significant performance improvements. But explaining why and interpreting the results are often hard, mainly due to the large number of parameters and the inability to figure out how each parameter affects the performance improvement. We have a solution that can explain the performance improvements by identifying key parameters while providing better insights on the tuning process. Our tool uses machine learning techniques to identify parameters which account for a significant performance improvement. A user could utilize different methods provided in the tool to further experiment and verify the accuracy of such findings. Further, our tool uses multidimensional scaling to display all the configurations in a two dimensional graph. This interface allows users to analyze the search space closely and identify clusters of configurations with good or bad performance. It also provides real-time information of tuning process which would help users to optimize the tuning process.","PeriodicalId":184790,"journal":{"name":"2016 Moratuwa Engineering Research Conference (MERCon)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122297414","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 : 2016-04-05DOI: 10.1109/MERCON.2016.7480173
Sajila D. Wickramaratna, Akila S. Udage, R. Jayasekara, Dilhan A. Kariyapperuma, W. A. Shanaka P. Abeysiriwardhana, A. M. Harsha S. Abeykoon
Mobile Robot Navigation techniques are important for path calculation towards a target, avoiding collisions in an unknown environment. The existing robot navigation techniques conclude a diverse spectrum of applications in 2D space. But navigation solutions in 3D space have been hardly addressed by the researchers for a combination of a mobile platform and a robot arm. This paper proposes a novel technique for navigation planning in 3D space for a combination of a mobile platform and a robot arm. The proposed method was derived using the field based navigation techniques to the robot end effector. Applicability of the proposed mathematical model was first derived and simulated for a 2D environment. Proposed mathematical model applicability in 3D space for a single obstacle environment and multiple obstacle environment was analyzed in this paper. The 3D model can be applied to a robot with end effector and the complete solution set was given to overcome the drawbacks of the system. The performance and applicability of the proposed navigation model is also confirmed using a Matlab simulation. The tuning of the model would create different path trajectories and these would be applicable for different types of environments. The proposed algorithm can be applied in a mobile robot platform with a robot arm and sensors to detect depth and position of robot.
{"title":"Field based navigation for 3D obstacle avoidance","authors":"Sajila D. Wickramaratna, Akila S. Udage, R. Jayasekara, Dilhan A. Kariyapperuma, W. A. Shanaka P. Abeysiriwardhana, A. M. Harsha S. Abeykoon","doi":"10.1109/MERCON.2016.7480173","DOIUrl":"https://doi.org/10.1109/MERCON.2016.7480173","url":null,"abstract":"Mobile Robot Navigation techniques are important for path calculation towards a target, avoiding collisions in an unknown environment. The existing robot navigation techniques conclude a diverse spectrum of applications in 2D space. But navigation solutions in 3D space have been hardly addressed by the researchers for a combination of a mobile platform and a robot arm. This paper proposes a novel technique for navigation planning in 3D space for a combination of a mobile platform and a robot arm. The proposed method was derived using the field based navigation techniques to the robot end effector. Applicability of the proposed mathematical model was first derived and simulated for a 2D environment. Proposed mathematical model applicability in 3D space for a single obstacle environment and multiple obstacle environment was analyzed in this paper. The 3D model can be applied to a robot with end effector and the complete solution set was given to overcome the drawbacks of the system. The performance and applicability of the proposed navigation model is also confirmed using a Matlab simulation. The tuning of the model would create different path trajectories and these would be applicable for different types of environments. The proposed algorithm can be applied in a mobile robot platform with a robot arm and sensors to detect depth and position of robot.","PeriodicalId":184790,"journal":{"name":"2016 Moratuwa Engineering Research Conference (MERCon)","volume":" 372","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131977698","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 : 2016-04-05DOI: 10.1109/MERCON.2016.7480159
C. Athukorala, I. Perera, D. Meedeniya
This study examines leadership factors that affect knowledge creation in Sri Lankan software industry. For this study, transformational and transactional leadership styles are considered and their effect on knowledge creation is assessed. Organizational culture is considered to have a moderating effect on the relationship between leadership behaviors and knowledge creation. The study is based on four variables; two independent variables, transformational leadership and transactional leadership, one moderating variable, organizational culture and one dependent variable, knowledge creation. According to the findings of the research with participant (n=152) feedback, both transformational leadership and transactional leadership have strong positive correlations with knowledge creation. Organizational culture moderates the correlation between transactional leadership and knowledge creation. Among the individual factors of transformational and transactional leadership, Individualized consideration has the highest positive correlation with knowledge creation. Organizational culture found to be moderating the knowledge creation through transactional leadership while culture has no moderating effect on knowledge creation through transformational leadership. The research suggests that affective leadership practices can positively contribute to the knowledge creation in software development organizations.
{"title":"The impact of transformational and transactional leadership styles on knowledge creation in Sri Lankan software industry","authors":"C. Athukorala, I. Perera, D. Meedeniya","doi":"10.1109/MERCON.2016.7480159","DOIUrl":"https://doi.org/10.1109/MERCON.2016.7480159","url":null,"abstract":"This study examines leadership factors that affect knowledge creation in Sri Lankan software industry. For this study, transformational and transactional leadership styles are considered and their effect on knowledge creation is assessed. Organizational culture is considered to have a moderating effect on the relationship between leadership behaviors and knowledge creation. The study is based on four variables; two independent variables, transformational leadership and transactional leadership, one moderating variable, organizational culture and one dependent variable, knowledge creation. According to the findings of the research with participant (n=152) feedback, both transformational leadership and transactional leadership have strong positive correlations with knowledge creation. Organizational culture moderates the correlation between transactional leadership and knowledge creation. Among the individual factors of transformational and transactional leadership, Individualized consideration has the highest positive correlation with knowledge creation. Organizational culture found to be moderating the knowledge creation through transactional leadership while culture has no moderating effect on knowledge creation through transformational leadership. The research suggests that affective leadership practices can positively contribute to the knowledge creation in software development organizations.","PeriodicalId":184790,"journal":{"name":"2016 Moratuwa Engineering Research Conference (MERCon)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129709359","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 : 2016-04-05DOI: 10.1109/MERCON.2016.7480133
N. Samarawickrama, K.T.M.U. Hemapala, A. Jayasekara
In the framework of a competitive commercial world, having accurate energy forecasting tools becomes a Key Performance Indicator (KPI) to the building owners. Energy forecasting plays a crucial role for any building when it undergoes the retrofitting works in order to maximize the benefits and utilities. This paper provides accurate and efficient energy forecasting tool based on Support Vector Machine Regression (SVMR). Results and discussions from real-world case studies of commercial buildings of Colombo, Sri Lanka are presented. In the case study, four commercial buildings are randomly selected and the models are developed and tested using monthly landlord utility bills. Careful analysis of available data reveals the most influential parameters to the model and these are as follows: mean outdoor dry-bulb temperature (T), solar radiation (SR) and relative humidity (RH). Selection of the kernel with radial basis function (RBF) is based on stepwise searching method to investigate the performance of SVM with respect to the three parameters such as C, γ and ε. The results showed that the structure of the training set has significant effect to the accuracy of the prediction. The analysis of the experimental results reveals that all the forecasting models give an acceptable result for all four commercials buildings with low coefficient of variance with a low percentage error.
{"title":"Support Vector Machine Regression for forecasting electricity demand for large commercial buildings by using kernel parameter and storage effect","authors":"N. Samarawickrama, K.T.M.U. Hemapala, A. Jayasekara","doi":"10.1109/MERCON.2016.7480133","DOIUrl":"https://doi.org/10.1109/MERCON.2016.7480133","url":null,"abstract":"In the framework of a competitive commercial world, having accurate energy forecasting tools becomes a Key Performance Indicator (KPI) to the building owners. Energy forecasting plays a crucial role for any building when it undergoes the retrofitting works in order to maximize the benefits and utilities. This paper provides accurate and efficient energy forecasting tool based on Support Vector Machine Regression (SVMR). Results and discussions from real-world case studies of commercial buildings of Colombo, Sri Lanka are presented. In the case study, four commercial buildings are randomly selected and the models are developed and tested using monthly landlord utility bills. Careful analysis of available data reveals the most influential parameters to the model and these are as follows: mean outdoor dry-bulb temperature (T), solar radiation (SR) and relative humidity (RH). Selection of the kernel with radial basis function (RBF) is based on stepwise searching method to investigate the performance of SVM with respect to the three parameters such as C, γ and ε. The results showed that the structure of the training set has significant effect to the accuracy of the prediction. The analysis of the experimental results reveals that all the forecasting models give an acceptable result for all four commercials buildings with low coefficient of variance with a low percentage error.","PeriodicalId":184790,"journal":{"name":"2016 Moratuwa Engineering Research Conference (MERCon)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121362284","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 : 2016-04-05DOI: 10.1109/MERCON.2016.7480152
T. Karththekeyan, K. Baskaran
Concrete plays a major role in the construction industry. However, concrete is weak in tension, in order to overcome this, normally reinforcements are used in construction. But these reinforcements won't be able to stop initiating tensile cracks and other defects in concrete. Aim of this study is to find the optimum volumetric percentage of steel fibre required to increase the tensile strength of concrete with laboratory experiments. For that, seven groups of grade 30 concrete were produced with the addition of steel fibres at different volumetric percentages: 0% (as a control specimen), 0.77%, 0.86%, 0.93%, 1.00%, 1.07% and 1.47% by absolute weight of concrete. Steel fibres with aspect ratio, l/d = 80 with 0.75 mm diameter and hooked at both ends, were used in this study. The effects of adding Steel fibres in concrete were measured for the cube compressive strength (fcu) and splitting tensile strength (fct). Result data clearly shows higher percentage increase in 7 and 28 days compressive strength and tensile strength for 0.86% steel fibres added concrete.
{"title":"Experimental study on steel fibre reinforced concrete for G-30 concrete","authors":"T. Karththekeyan, K. Baskaran","doi":"10.1109/MERCON.2016.7480152","DOIUrl":"https://doi.org/10.1109/MERCON.2016.7480152","url":null,"abstract":"Concrete plays a major role in the construction industry. However, concrete is weak in tension, in order to overcome this, normally reinforcements are used in construction. But these reinforcements won't be able to stop initiating tensile cracks and other defects in concrete. Aim of this study is to find the optimum volumetric percentage of steel fibre required to increase the tensile strength of concrete with laboratory experiments. For that, seven groups of grade 30 concrete were produced with the addition of steel fibres at different volumetric percentages: 0% (as a control specimen), 0.77%, 0.86%, 0.93%, 1.00%, 1.07% and 1.47% by absolute weight of concrete. Steel fibres with aspect ratio, l/d = 80 with 0.75 mm diameter and hooked at both ends, were used in this study. The effects of adding Steel fibres in concrete were measured for the cube compressive strength (fcu) and splitting tensile strength (fct). Result data clearly shows higher percentage increase in 7 and 28 days compressive strength and tensile strength for 0.86% steel fibres added concrete.","PeriodicalId":184790,"journal":{"name":"2016 Moratuwa Engineering Research Conference (MERCon)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124376693","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 : 2016-04-05DOI: 10.1109/MERCON.2016.7480161
M. D. Jayamal, K. D. Kurukulasooriya, S. R. B. V. T. Weerasiri, C. R. De Silva
A single MRI scan generates a large number of images of various cross sections of the body. This large set of accumulated data makes manual analysis time consuming thus a smart tool for screening is vital. This paper presents a novel classification and segmentation method which has the ability to identify white matter in MRI mages. Based on those findings, a supporting web based tool for the MRI image analysis and screening is introduced.
{"title":"A novel method and tool for detection of tumors and tissue abnormalities","authors":"M. D. Jayamal, K. D. Kurukulasooriya, S. R. B. V. T. Weerasiri, C. R. De Silva","doi":"10.1109/MERCON.2016.7480161","DOIUrl":"https://doi.org/10.1109/MERCON.2016.7480161","url":null,"abstract":"A single MRI scan generates a large number of images of various cross sections of the body. This large set of accumulated data makes manual analysis time consuming thus a smart tool for screening is vital. This paper presents a novel classification and segmentation method which has the ability to identify white matter in MRI mages. Based on those findings, a supporting web based tool for the MRI image analysis and screening is introduced.","PeriodicalId":184790,"journal":{"name":"2016 Moratuwa Engineering Research Conference (MERCon)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129449463","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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