Pub Date : 2022-07-27DOI: 10.46604/aiti.2022.10525
J. Widjajakusuma, I. Bali, G. Ng, Kevin Aprilio Wibowo
Limited studies have been conducted on low-aluminum and rich-iron-calcium fly ash (LARICFA)-based geopolymer concrete with increased strength. This study aims to investigate the mechanical characteristics of LARICFA-based geopolymer concrete, including its compressive strength, split tensile strength, and ultimate moment. The steps of this study include material preparation and testing, concrete mix design and casting, specimen curing and testing, and the analysis of testing results. Furthermore, the specimen tests consist of the bending, compressive, and split tensile strength tests. The results show that the average compressive strength and the ultimate moment of the geopolymer concrete are 38.20 MPa and 22.90 kN·m, respectively, while the average ratio between the split tensile and compressive strengths is around 0.09. Therefore, the fly ash-based geopolymer concrete can be used in structural components.
{"title":"An Experimental Study on the Mechanical Properties of Low-Aluminum and Rich-Iron-Calcium Fly Ash-Based Geopolymer Concrete","authors":"J. Widjajakusuma, I. Bali, G. Ng, Kevin Aprilio Wibowo","doi":"10.46604/aiti.2022.10525","DOIUrl":"https://doi.org/10.46604/aiti.2022.10525","url":null,"abstract":"Limited studies have been conducted on low-aluminum and rich-iron-calcium fly ash (LARICFA)-based geopolymer concrete with increased strength. This study aims to investigate the mechanical characteristics of LARICFA-based geopolymer concrete, including its compressive strength, split tensile strength, and ultimate moment. The steps of this study include material preparation and testing, concrete mix design and casting, specimen curing and testing, and the analysis of testing results. Furthermore, the specimen tests consist of the bending, compressive, and split tensile strength tests. The results show that the average compressive strength and the ultimate moment of the geopolymer concrete are 38.20 MPa and 22.90 kN·m, respectively, while the average ratio between the split tensile and compressive strengths is around 0.09. Therefore, the fly ash-based geopolymer concrete can be used in structural components.","PeriodicalId":52314,"journal":{"name":"Advances in Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49226728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study investigates data standardization methods based on the grid search (GS) algorithm for energy load forecasting, including zero-mean, min-max, max, decimal, sigmoid, softmax, median, and robust, to determine the hyperparameters of deep learning (DL) models. The considered DL models are the convolutional neural network (CNN) and long short-term memory network (LSTMN). The procedure is made over (i) setting the configuration for CNN and LSTMN, (ii) establishing the hyperparameter values of CNN and LSTMN models based on epoch, batch, optimizer, dropout, filters, and kernel, (iii) using eight data standardization methods to standardize the input data, and (iv) using the GS algorithm to search the optimal hyperparameters based on the mean absolute error (MAE) and mean absolute percent error (MAPE) indexes. The effectiveness of the proposed method is verified on the power load data of the Australian state of Queensland and Vietnamese Ho Chi Minh city. The simulation results show that the proposed data standardization methods are appropriate, except for the zero-mean and min-max methods.
{"title":"Effects of Data Standardization on Hyperparameter Optimization with the Grid Search Algorithm Based on Deep Learning: A Case Study of Electric Load Forecasting","authors":"T. Ngoc, L. Dai, Lam Binh Minh","doi":"10.46604/aiti.2022.9227","DOIUrl":"https://doi.org/10.46604/aiti.2022.9227","url":null,"abstract":"This study investigates data standardization methods based on the grid search (GS) algorithm for energy load forecasting, including zero-mean, min-max, max, decimal, sigmoid, softmax, median, and robust, to determine the hyperparameters of deep learning (DL) models. The considered DL models are the convolutional neural network (CNN) and long short-term memory network (LSTMN). The procedure is made over (i) setting the configuration for CNN and LSTMN, (ii) establishing the hyperparameter values of CNN and LSTMN models based on epoch, batch, optimizer, dropout, filters, and kernel, (iii) using eight data standardization methods to standardize the input data, and (iv) using the GS algorithm to search the optimal hyperparameters based on the mean absolute error (MAE) and mean absolute percent error (MAPE) indexes. The effectiveness of the proposed method is verified on the power load data of the Australian state of Queensland and Vietnamese Ho Chi Minh city. The simulation results show that the proposed data standardization methods are appropriate, except for the zero-mean and min-max methods.","PeriodicalId":52314,"journal":{"name":"Advances in Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45832064","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}
Che-Yu Lin, Yi-Cheng Chen, Chin Pok Pang, Tung-Han Yang
Ultrasound viscoelastic creep imaging (UVCI) is a newly developed technology aiming to measure the viscoelastic properties of materials. The purpose of this study is to investigate the accuracy of UVCI in measuring the viscoelastic properties of heterogeneous materials that mimic pathological lesions and normal tissues. The finite element simulation is used to investigate the measurement accuracy of UVCI on three material models, including a homogeneous material, a single-inclusion phantom, and a three-layer structure. The measurement accuracy for a viscoelastic property is determined by the difference between the simulated measurement result of that viscoelastic property and its true value defined during the simulation process. The results show that UVCI in general cannot accurately measure the true values of the viscoelastic properties of a heterogeneous material, demonstrating the need to further improve the theories and technologies relevant to UVCI to improve its measurement accuracy on tissue-like heterogeneous materials.
{"title":"Measurement Accuracy of Ultrasound Viscoelastic Creep Imaging in Measuring the Viscoelastic Properties of Heterogeneous Materials","authors":"Che-Yu Lin, Yi-Cheng Chen, Chin Pok Pang, Tung-Han Yang","doi":"10.46604/aiti.2022.9592","DOIUrl":"https://doi.org/10.46604/aiti.2022.9592","url":null,"abstract":"Ultrasound viscoelastic creep imaging (UVCI) is a newly developed technology aiming to measure the viscoelastic properties of materials. The purpose of this study is to investigate the accuracy of UVCI in measuring the viscoelastic properties of heterogeneous materials that mimic pathological lesions and normal tissues. The finite element simulation is used to investigate the measurement accuracy of UVCI on three material models, including a homogeneous material, a single-inclusion phantom, and a three-layer structure. The measurement accuracy for a viscoelastic property is determined by the difference between the simulated measurement result of that viscoelastic property and its true value defined during the simulation process. The results show that UVCI in general cannot accurately measure the true values of the viscoelastic properties of a heterogeneous material, demonstrating the need to further improve the theories and technologies relevant to UVCI to improve its measurement accuracy on tissue-like heterogeneous materials.","PeriodicalId":52314,"journal":{"name":"Advances in Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42853900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study proposes a method for designing observer-based quadratic guaranteed cost controllers for linear uncertain systems with control gain variations. In the proposed approach, an observer is designed, and then a feedback controller that ensures the upper bound on the given quadratic cost function is derived. This study shows that sufficient conditions for the existence of the observer-based quadratic guaranteed cost controller are given in terms of linear matrix inequalities. A sub-optimal quadratic guaranteed cost control strategy is also discussed. Finally, the effectiveness of the proposed controller is illustrated by a numerical example. The result shows that the proposed controller is more effective than conventional methods even if system uncertainties and control gain variations exist.
{"title":"Observer-Based Quadratic Guaranteed Cost Control for Linear Uncertain Systems with Control Gain Variation","authors":"Satoshi Hayakawa, Y. Hoshi, H. Oya","doi":"10.46604/aiti.2022.9252","DOIUrl":"https://doi.org/10.46604/aiti.2022.9252","url":null,"abstract":"This study proposes a method for designing observer-based quadratic guaranteed cost controllers for linear uncertain systems with control gain variations. In the proposed approach, an observer is designed, and then a feedback controller that ensures the upper bound on the given quadratic cost function is derived. This study shows that sufficient conditions for the existence of the observer-based quadratic guaranteed cost controller are given in terms of linear matrix inequalities. A sub-optimal quadratic guaranteed cost control strategy is also discussed. Finally, the effectiveness of the proposed controller is illustrated by a numerical example. The result shows that the proposed controller is more effective than conventional methods even if system uncertainties and control gain variations exist.","PeriodicalId":52314,"journal":{"name":"Advances in Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42675283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research is conducted to examine the transmission wave and energy dissipation of a box culvert-type slotted breakwater, which is designed as a breakwater structure with a watertight wall at the top and a box culvert type hole at the bottom. The process involves physical modeling of this structure in the laboratory. The hole and wave parameters are varied to determine the breakwater performance. The results show that the transmission coefficient (KT) value is reduced as the relative hole height (hL/d) value is decreasing and the relative hole length (B/L) and wave steepness (H/L) values are increasing. The energy dissipation coefficient (KD) value increases with an increment in hL/d, H/L, and B/L but starts to decrease after reaching the maximum, which is the optimum H × B/L2 value. This optimum value is found to be 0.0034(hL/d)2.618 depending on the (hL/d) value, while the maximum KD value is recorded to be 0.70.
{"title":"Wave Transmission and Energy Dissipation in a Box Culvert-Type Slotted Breakwater","authors":"Nastain, Suripin, N. Yuwono, I. Sriyana","doi":"10.46604/aiti.2022.9080","DOIUrl":"https://doi.org/10.46604/aiti.2022.9080","url":null,"abstract":"This research is conducted to examine the transmission wave and energy dissipation of a box culvert-type slotted breakwater, which is designed as a breakwater structure with a watertight wall at the top and a box culvert type hole at the bottom. The process involves physical modeling of this structure in the laboratory. The hole and wave parameters are varied to determine the breakwater performance. The results show that the transmission coefficient (KT) value is reduced as the relative hole height (hL/d) value is decreasing and the relative hole length (B/L) and wave steepness (H/L) values are increasing. The energy dissipation coefficient (KD) value increases with an increment in hL/d, H/L, and B/L but starts to decrease after reaching the maximum, which is the optimum H × B/L2 value. This optimum value is found to be 0.0034(hL/d)2.618 depending on the (hL/d) value, while the maximum KD value is recorded to be 0.70.","PeriodicalId":52314,"journal":{"name":"Advances in Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48886293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research proposes an artificial intelligence (AI) detection model using convolutional neural networks (CNN) to automatically detect gas leaks in a long-distance pipeline. The change of gap pressure is collected when leakage occurs in the pipeline, and thereby the feature of gas leakage is extracted for building the CNN model. The gas leak patterns in the long-distance pipeline are analyzed. A pipeline detection model based on AI technology for automatically monitoring the leaks is proposed by extracting the feature of gas leakage. This model is tested by collecting gas pressure data from an existing natural gas pipeline system starting from Mailiao to Taoyuan in Taiwan. The testing result shows that the reduced model of leak detection can be used to detect the leaks from the upstream and downstream pipelines, and the AI-based pipeline leak detection system can obtain a satisfactory result.
{"title":"Developing and Implementing an AI-Based Leak Detection System in a Long-Distance Gas Pipeline","authors":"Te-Kwei Wang, Yu-Hsun Lin, Jian-Yuan Shen","doi":"10.46604/aiti.2022.8904","DOIUrl":"https://doi.org/10.46604/aiti.2022.8904","url":null,"abstract":"This research proposes an artificial intelligence (AI) detection model using convolutional neural networks (CNN) to automatically detect gas leaks in a long-distance pipeline. The change of gap pressure is collected when leakage occurs in the pipeline, and thereby the feature of gas leakage is extracted for building the CNN model. The gas leak patterns in the long-distance pipeline are analyzed. A pipeline detection model based on AI technology for automatically monitoring the leaks is proposed by extracting the feature of gas leakage. This model is tested by collecting gas pressure data from an existing natural gas pipeline system starting from Mailiao to Taoyuan in Taiwan. The testing result shows that the reduced model of leak detection can be used to detect the leaks from the upstream and downstream pipelines, and the AI-based pipeline leak detection system can obtain a satisfactory result.","PeriodicalId":52314,"journal":{"name":"Advances in Technology Innovation","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42558927","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}
A. M. Rajapakse, D. Y. Mudunkotuwa, Sanura Naveen Sanjula, Kelum Nishantha, T. R. Bandara
For generations, Sri Lankans use cement bricks and clay bricks as common building materials in the construction field. This study investigates the feasibility of improving the strength while lowering the mass and thermal conductivity of bricks by adding coconut fiber or coconut fiber dust as a reinforcing material. Each reinforcing material is used in both clay and cement bricks. The mixtures are prepared according to varying volume ratios of the raw materials used. Coconut fibers are combed and cut into 4-5 cm pieces and dry coconut fiber dust is sieved using a 4 mm sieving mesh. The mixture is prepared by hand mixing and the traditional processes are replicated in making the bricks. Tests are carried out to understand the variation of mass, compressive strength, thermal conductivity, and water absorption of the reinforced bricks in comparison to bricks with no reinforced material. The cement brick reinforced with coconut fiber achieves the expected results in the compressive strength test and thermal conductivity test but underperformed when comparing masses and water absorption. Clay bricks reinforced with coconut fiber dust show impressive results in compressive tests and with the addition of dust, the appearance seems to have changed. It is observed that reinforcing cement bricks with coconut fiber could double the compressive strength along with a 5% reduction in mass. Reinforcing clay bricks with coconut fiber dust increases its compressive strength by over 70% while decreasing the mass by over 30 %. The study proves that it is feasible to use reinforced coconut fiber or coconut fiber dust to improve the properties of both clay and cement bricks, while clay bricks reinforced with coconut fiber are an exception.
{"title":"Cement and Clay Bricks Reinforced with Coconut Fiber and Fiber Dust","authors":"A. M. Rajapakse, D. Y. Mudunkotuwa, Sanura Naveen Sanjula, Kelum Nishantha, T. R. Bandara","doi":"10.31357/ait.v2i3.5534","DOIUrl":"https://doi.org/10.31357/ait.v2i3.5534","url":null,"abstract":"For generations, Sri Lankans use cement bricks and clay bricks as common building materials in the construction field. This study investigates the feasibility of improving the strength while lowering the mass and thermal conductivity of bricks by adding coconut fiber or coconut fiber dust as a reinforcing material. Each reinforcing material is used in both clay and cement bricks. The mixtures are prepared according to varying volume ratios of the raw materials used. Coconut fibers are combed and cut into 4-5 cm pieces and dry coconut fiber dust is sieved using a 4 mm sieving mesh. The mixture is prepared by hand mixing and the traditional processes are replicated in making the bricks. Tests are carried out to understand the variation of mass, compressive strength, thermal conductivity, and water absorption of the reinforced bricks in comparison to bricks with no reinforced material. The cement brick reinforced with coconut fiber achieves the expected results in the compressive strength test and thermal conductivity test but underperformed when comparing masses and water absorption. Clay bricks reinforced with coconut fiber dust show impressive results in compressive tests and with the addition of dust, the appearance seems to have changed. It is observed that reinforcing cement bricks with coconut fiber could double the compressive strength along with a 5% reduction in mass. Reinforcing clay bricks with coconut fiber dust increases its compressive strength by over 70% while decreasing the mass by over 30 %. The study proves that it is feasible to use reinforced coconut fiber or coconut fiber dust to improve the properties of both clay and cement bricks, while clay bricks reinforced with coconut fiber are an exception.","PeriodicalId":52314,"journal":{"name":"Advances in Technology Innovation","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85776322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article presents the design of a magnetic microactuator comprising soft magnetic material blocks and flexible beams. The modular layout of the proposed microactuator promotes scalability towards different microrobotic applications using low magnetic fields. The presented microactuator consists of three soft magnetic material (Ni-Fe 4750) blocks connected together via two Polydimethylsiloxane (PDMS) semi-circular beams. A detailed design approach is highlighted giving considerations toward compactness, range of motion and force characteristics of the actuator. The actuator displacement and force characteristics are approximately linear in the magnetic field strength range of 80-160 kA/m. It can achieve maximum displacements of 111.6 µm (at 160 kA/m) during extension and 10.7 µm (at 80 kA/m) during contraction under no-load condition. The maximum force output of the microactuator, computed through a contact simulation, was 404.3 nN at a magnetic field strength of 160 kA/m. The microactuator achieved stroke angles up to 18.4 in a study where the microactuator was integrated with a swimming microrobot executing rowing motion using an artificial appendage, providing insight into the capabilities of actuating untethered microrobots.
{"title":"Design and Simulation of a Novel Magnetic Microactuator for Microrobots in Lab-On-a-Chip Applications","authors":"Nisal Minula Perera Kankanige, Gihan Charith Premachandra Hanchapola Appuhamilage, S.K. Dodampegama, Ranjith Amarasinghe Yattowita Withanage","doi":"10.31357/ait.v2i3.5521","DOIUrl":"https://doi.org/10.31357/ait.v2i3.5521","url":null,"abstract":"This article presents the design of a magnetic microactuator comprising soft magnetic material blocks and flexible beams. The modular layout of the proposed microactuator promotes scalability towards different microrobotic applications using low magnetic fields. The presented microactuator consists of three soft magnetic material (Ni-Fe 4750) blocks connected together via two Polydimethylsiloxane (PDMS) semi-circular beams. A detailed design approach is highlighted giving considerations toward compactness, range of motion and force characteristics of the actuator. The actuator displacement and force characteristics are approximately linear in the magnetic field strength range of 80-160 kA/m. It can achieve maximum displacements of 111.6 µm (at 160 kA/m) during extension and 10.7 µm (at 80 kA/m) during contraction under no-load condition. The maximum force output of the microactuator, computed through a contact simulation, was 404.3 nN at a magnetic field strength of 160 kA/m. The microactuator achieved stroke angles up to 18.4 in a study where the microactuator was integrated with a swimming microrobot executing rowing motion using an artificial appendage, providing insight into the capabilities of actuating untethered microrobots.","PeriodicalId":52314,"journal":{"name":"Advances in Technology Innovation","volume":"59 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86899630","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}
COVID-19 is prevalent in almost every corner of the globe, meanwhile Sri Lanka is also experiencing it. Higher education providers of the department of agriculture (extension and training division) had to rapidly transition their teaching programs to online learning and assessment. The purpose of this study was to investigate the effectiveness of online learning during the COVID-19 period. Accordingly, students from four different schools of agriculture (Paranthan, Palamuna, Vavuniya, and Palwehera) were purposively selected (n=210). Google form was used to collect data. The results revealed that 53.3% preferred a combination learning system of both traditional learning and online learning. Advantages of online learning were the ability of recording lectures as video (51.7%) and learn in a comfortable place (42.1%). With regards to the obstacles to online learning during the COVID-19 technical problems significantly (91.9%) affected learning while reduced interaction with their teachers/instructors (43.8%) and poor learning environment at home (39%) also were considerable barriers. There was a statistical difference (p<0.05) between face-to-face and online learning in terms increase knowledge, practical skills, social competencies, and assessment methods. However, successful implementation of online learning into the curriculum requires a well-thought-out strategy and a more active approach.
{"title":"Effectiveness of Rapid Transition to Online Learning During the Covid-19 Pandemic","authors":"Thusyanthini Ramanathan, S. Peramunagama","doi":"10.31357/ait.v2i2.5514","DOIUrl":"https://doi.org/10.31357/ait.v2i2.5514","url":null,"abstract":"COVID-19 is prevalent in almost every corner of the globe, meanwhile Sri Lanka is also experiencing it. Higher education providers of the department of agriculture (extension and training division) had to rapidly transition their teaching programs to online learning and assessment. The purpose of this study was to investigate the effectiveness of online learning during the COVID-19 period. Accordingly, students from four different schools of agriculture (Paranthan, Palamuna, Vavuniya, and Palwehera) were purposively selected (n=210). Google form was used to collect data. The results revealed that 53.3% preferred a combination learning system of both traditional learning and online learning. Advantages of online learning were the ability of recording lectures as video (51.7%) and learn in a comfortable place (42.1%). With regards to the obstacles to online learning during the COVID-19 technical problems significantly (91.9%) affected learning while reduced interaction with their teachers/instructors (43.8%) and poor learning environment at home (39%) also were considerable barriers. There was a statistical difference (p<0.05) between face-to-face and online learning in terms increase knowledge, practical skills, social competencies, and assessment methods. However, successful implementation of online learning into the curriculum requires a well-thought-out strategy and a more active approach.","PeriodicalId":52314,"journal":{"name":"Advances in Technology Innovation","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86387299","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}
With the rapid development of technology, cashless payments were gained huge popularity among customers. Digital wallets, as a Fintech product, facilitate their customers to do mobile banking, mobile payments, and mobile trading more conveniently. COVID – 19 pandemic hit the world of a sudden, and Sri Lanka was also severely affected by this pandemic. Therefore, the Sri Lankan government has imposed lockdowns, quarantine curfews, and other travel restrictions to maintain the social distance among the citizens. Hence most of the day-to-day activities become the online basis. People used the internet to do their daily activities because of the convenience and the safety concerns during the COVID – 19 pandemics. Due to the travel restrictions, people were not able to travel, and they had no other choice rather than to use the online facilities to do their daily transactions. This study explores the factors that can impact the continuous intention to use digital wallets as an online payment method during the COVID – 19 pandemics. To identify these factors, questionnaires were distributed among 250 people. Correlation coefficient and multiple linear regression methods were mainly used to analyze the data obtained by the questionnaires. This analysis showed that convenience, security, usefulness, and social influence have a significant and positive impact on the usage of digital wallets. According to the following findings, this research can be concluded as these four factors can directly impact the continuous intention to use digital wallets during the COVID – 19 pandemics. Finally, this study also helps the digital wallet service providers to identify the areas they have to think critically to provide a better service to their customers.
{"title":"Identify the Factors that Impact the Continuous Intention to Use Digital Wallets During the COVID – 19 Pandemic: An Empirical Study of Sri Lanka","authors":"Sanduni Madushanka Assalaarachchi","doi":"10.31357/ait.v2i2.5448","DOIUrl":"https://doi.org/10.31357/ait.v2i2.5448","url":null,"abstract":"With the rapid development of technology, cashless payments were gained huge popularity among customers. Digital wallets, as a Fintech product, facilitate their customers to do mobile banking, mobile payments, and mobile trading more conveniently. COVID – 19 pandemic hit the world of a sudden, and Sri Lanka was also severely affected by this pandemic. Therefore, the Sri Lankan government has imposed lockdowns, quarantine curfews, and other travel restrictions to maintain the social distance among the citizens. Hence most of the day-to-day activities become the online basis. People used the internet to do their daily activities because of the convenience and the safety concerns during the COVID – 19 pandemics. Due to the travel restrictions, people were not able to travel, and they had no other choice rather than to use the online facilities to do their daily transactions. This study explores the factors that can impact the continuous intention to use digital wallets as an online payment method during the COVID – 19 pandemics. To identify these factors, questionnaires were distributed among 250 people. Correlation coefficient and multiple linear regression methods were mainly used to analyze the data obtained by the questionnaires. This analysis showed that convenience, security, usefulness, and social influence have a significant and positive impact on the usage of digital wallets. According to the following findings, this research can be concluded as these four factors can directly impact the continuous intention to use digital wallets during the COVID – 19 pandemics. Finally, this study also helps the digital wallet service providers to identify the areas they have to think critically to provide a better service to their customers.","PeriodicalId":52314,"journal":{"name":"Advances in Technology Innovation","volume":"108 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75940813","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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