Pub Date : 2018-11-01DOI: 10.1109/IEMCON.2018.8614949
S. Shaheen, M. M. Saleem, S. M. H. Zaidi, Ayesha Akhtar
This paper presents design, modeling and parametric optimization of RF MEMS varactor with large tuning range using electrostatic actuation. Optimized result is obtained using finite element method (FEM) and HFSS simulation to obtain large tuning ratio. Electrostatic torsion actuator is used in this model for actuation. The actuator beam transform the closing gap of torsion actuator into the movement of capacitor plate in the upward direction. The proposed design is optimized on the basis of electrode length ratio, levering ratio, gap between the plates. The design is demonstrated on 50 Ω coplanar transmission line for frequency range ofl-10 GHz, and optimized scattering parameters are achieved for both the actuated and un-actuated state. RF characteristics has been improved at electrode length ratio of 0.4404. Best performance is achieved at 5.5GHz with tunability of 157 % for Electrode length ratio of 0.4404.
{"title":"Design, Simulation and Parametric Optimization of MEMS Based Varactor","authors":"S. Shaheen, M. M. Saleem, S. M. H. Zaidi, Ayesha Akhtar","doi":"10.1109/IEMCON.2018.8614949","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614949","url":null,"abstract":"This paper presents design, modeling and parametric optimization of RF MEMS varactor with large tuning range using electrostatic actuation. Optimized result is obtained using finite element method (FEM) and HFSS simulation to obtain large tuning ratio. Electrostatic torsion actuator is used in this model for actuation. The actuator beam transform the closing gap of torsion actuator into the movement of capacitor plate in the upward direction. The proposed design is optimized on the basis of electrode length ratio, levering ratio, gap between the plates. The design is demonstrated on 50 Ω coplanar transmission line for frequency range ofl-10 GHz, and optimized scattering parameters are achieved for both the actuated and un-actuated state. RF characteristics has been improved at electrode length ratio of 0.4404. Best performance is achieved at 5.5GHz with tunability of 157 % for Electrode length ratio of 0.4404.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132051548","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8615079
Nirmalya Thakur, C. Han
Internet of Things (IoT) will provide a data rich world to afford smart systems which, in a context of a smart home, will have to adapt to people according to their needs for work and living. This paper describes the work to establish a framework for building a database to capture all possible user interactions associated with a given activity and lists the conditions for these user interactions leading to the activity goal. As an application of this framework, an activity performance-based supervised recommender system to recommend tasks related to different activities in a smart home is presented. Its usefulness to enhance the quality of life of people in technology-laden surroundings can be seen, especially for the elderly people, by providing environments with smart agents, that can effectively assist them in user interactions, as well as recommend tasks or activities, or even guide them through the intended tasks. Furthermore, the future intelligent assistant agents will have to learn a universal set of user interactions related to any activity to effectively mitigate distractions and adapt to the situations and recommend tasks to aid users in reaching to the end goal of performing the desired activity. A preliminary result demonstrates a performance accuracy of 75% when evaluated on a subset of the UK DALE dataset [1].
{"title":"A Context-Driven Complex Activity Framework for Smart Home","authors":"Nirmalya Thakur, C. Han","doi":"10.1109/IEMCON.2018.8615079","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8615079","url":null,"abstract":"Internet of Things (IoT) will provide a data rich world to afford smart systems which, in a context of a smart home, will have to adapt to people according to their needs for work and living. This paper describes the work to establish a framework for building a database to capture all possible user interactions associated with a given activity and lists the conditions for these user interactions leading to the activity goal. As an application of this framework, an activity performance-based supervised recommender system to recommend tasks related to different activities in a smart home is presented. Its usefulness to enhance the quality of life of people in technology-laden surroundings can be seen, especially for the elderly people, by providing environments with smart agents, that can effectively assist them in user interactions, as well as recommend tasks or activities, or even guide them through the intended tasks. Furthermore, the future intelligent assistant agents will have to learn a universal set of user interactions related to any activity to effectively mitigate distractions and adapt to the situations and recommend tasks to aid users in reaching to the end goal of performing the desired activity. A preliminary result demonstrates a performance accuracy of 75% when evaluated on a subset of the UK DALE dataset [1].","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132063070","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8615065
Rami Yared, Michaeli Ekubay Negassi, Lucy Yang
Physical activity is a very important indicator of healthy lifestyle. Physical activity recognition, classification and evaluation is a significant research area, both in academic as well as in healthcare domain to help patients achieving the benefits of performing physical activities. Physical activity recognition and evaluation enable professionals to make appropriate decisions and interventions, and patients can manage their activities of daily living independently. We present in this paper our smart-phone based system to recognize, classify and evaluate jogging, walking, and standing activities using the GPS and the accelerometer built-in smartphone sensors. Our system notifies caregivers and patients if the level of physical activities of patients falls below a certain threshold.
{"title":"Physical activity classification and assessment using smartphone","authors":"Rami Yared, Michaeli Ekubay Negassi, Lucy Yang","doi":"10.1109/IEMCON.2018.8615065","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8615065","url":null,"abstract":"Physical activity is a very important indicator of healthy lifestyle. Physical activity recognition, classification and evaluation is a significant research area, both in academic as well as in healthcare domain to help patients achieving the benefits of performing physical activities. Physical activity recognition and evaluation enable professionals to make appropriate decisions and interventions, and patients can manage their activities of daily living independently. We present in this paper our smart-phone based system to recognize, classify and evaluate jogging, walking, and standing activities using the GPS and the accelerometer built-in smartphone sensors. Our system notifies caregivers and patients if the level of physical activities of patients falls below a certain threshold.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128666575","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8614937
David Johnson, Damian Valles
High-Performance Computing (HPC) relies heavily on the overall performance and capabilities of the system used to implement it. The purpose of this research is to perform several benchmarks on Texas State University's LEAP Cluster and analyze the data collected from those tests to determine performance models. The tests used to collect this data will be various benchmarking programs such as High-Performance Linpack (HPL), IOZone, and CacheBench. Analysis of the performance evaluation for each benchmark was modeled with a scaled second-order linear polynomial regression and used to observe the performance when the workload was changed. Once the analysis was completed, the models were compared to the data obtained from the benchmark runs on the specific hardware devices. The models showed that scaling coefficients help to describe the performance of each hardware model. The work-in-progress is to continue to find scalable regression approaches that can improve the performance modeling fit.
高性能计算(HPC)在很大程度上依赖于用于实现它的系统的整体性能和能力。本研究的目的是在Texas State University的LEAP Cluster上执行几个基准测试，并分析从这些测试中收集的数据，以确定性能模型。用于收集这些数据的测试将是各种基准测试程序，如高性能Linpack (HPL)、IOZone和CacheBench。对每个基准的性能评估分析采用缩放二阶线性多项式回归建模，用于观察工作负载变化时的性能。分析完成后，将模型与在特定硬件设备上运行基准测试获得的数据进行比较。模型表明，比例系数有助于描述每个硬件模型的性能。正在进行的工作是继续寻找可伸缩的回归方法，以改进性能建模的适合性。
{"title":"An Initial Scale-Factor Linear Polynomial Regression Model Approach for Hardware Performance on an HPC Compute-Node","authors":"David Johnson, Damian Valles","doi":"10.1109/IEMCON.2018.8614937","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614937","url":null,"abstract":"High-Performance Computing (HPC) relies heavily on the overall performance and capabilities of the system used to implement it. The purpose of this research is to perform several benchmarks on Texas State University's LEAP Cluster and analyze the data collected from those tests to determine performance models. The tests used to collect this data will be various benchmarking programs such as High-Performance Linpack (HPL), IOZone, and CacheBench. Analysis of the performance evaluation for each benchmark was modeled with a scaled second-order linear polynomial regression and used to observe the performance when the workload was changed. Once the analysis was completed, the models were compared to the data obtained from the benchmark runs on the specific hardware devices. The models showed that scaling coefficients help to describe the performance of each hardware model. The work-in-progress is to continue to find scalable regression approaches that can improve the performance modeling fit.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116360710","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8614987
R. Norouzi, A. Kosari, M. Sabour
In case of technical failures or external events such as control surface defects or icing, aircraft dynamics and parameters are changed. Due to nonlinear dynamics of aircraft, usually the exact new altered dynamics cannot be determined by the pilot. Therefore the pilot who tries to plan a safe landing trajectory as soon as possible may implement a maneuver which is not feasible anymore according to the altered dynamics of the impaired aircraft and leads to aircraft loss of control (LOC). Therefore, the main challenge in the prevention of LOC-led-accidents is to increase the pilot's situational awareness and develop better control systems which both require post-failure dynamics identification and modeling. Both neural networks and neuro-fuzzy systems can be used for high-fidelity modeling of the aircraft nonlinear dynamics, however, the one with better generalization capability should be chosen. In this paper, several neural networks and local model networks are developed to model the nonlinear dynamics of an impaired aircraft with damaged rudder. These networks are trained using different training algorithms and their generalizations to the new cases of rudder failure are compared. Results show that both network types have good performance but neural networks generalize better to the new data than local model networks.
{"title":"A Comparison Between Generalization Capability of Neural Network and Neuro-Fuzzy System in Nonlinear Dynamics Identification of Impaired Aircraft","authors":"R. Norouzi, A. Kosari, M. Sabour","doi":"10.1109/IEMCON.2018.8614987","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614987","url":null,"abstract":"In case of technical failures or external events such as control surface defects or icing, aircraft dynamics and parameters are changed. Due to nonlinear dynamics of aircraft, usually the exact new altered dynamics cannot be determined by the pilot. Therefore the pilot who tries to plan a safe landing trajectory as soon as possible may implement a maneuver which is not feasible anymore according to the altered dynamics of the impaired aircraft and leads to aircraft loss of control (LOC). Therefore, the main challenge in the prevention of LOC-led-accidents is to increase the pilot's situational awareness and develop better control systems which both require post-failure dynamics identification and modeling. Both neural networks and neuro-fuzzy systems can be used for high-fidelity modeling of the aircraft nonlinear dynamics, however, the one with better generalization capability should be chosen. In this paper, several neural networks and local model networks are developed to model the nonlinear dynamics of an impaired aircraft with damaged rudder. These networks are trained using different training algorithms and their generalizations to the new cases of rudder failure are compared. Results show that both network types have good performance but neural networks generalize better to the new data than local model networks.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114189852","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8614890
M. Danish, T. Senjyu, Mohammad Aman Yaqobi, Zahra Nazari, Hidehito Matayoshi, H. Zaheb
Every nations' socio-economic development directly depends on the corruption index. Turn the tide toward sustainable development, corrupted-free society along with socio-economic prosperity would not be possible without relying on the lessons learned from other nations, which overcome this problem. This study unlike the literature, designed an appropriate framework that aligning the sustainability, management, technical, technological aspects of an overall technology (ICT-Information and Communications Technology) within sustainability objectives. As well as, this study set out to develop an anti-corruption schematic platform (a basic concept at this stage using mobile/PC application) for corruption effective reduction considering the real-life acceptance condition of the least developing nations. With an ultimate aim to add value to the prosperity trend and alleviate the corruption rate. The proposed schematic platform for anti-corruption elimination in term of the developing nation, ultimately contributes to achieve the goals of global and national levels' endeavor toward transparency by deploying the proposed solution as a pilot project for a long-run sustainability.
{"title":"The Role of ICT in Corruption Elimination: A Holistic Approach","authors":"M. Danish, T. Senjyu, Mohammad Aman Yaqobi, Zahra Nazari, Hidehito Matayoshi, H. Zaheb","doi":"10.1109/IEMCON.2018.8614890","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614890","url":null,"abstract":"Every nations' socio-economic development directly depends on the corruption index. Turn the tide toward sustainable development, corrupted-free society along with socio-economic prosperity would not be possible without relying on the lessons learned from other nations, which overcome this problem. This study unlike the literature, designed an appropriate framework that aligning the sustainability, management, technical, technological aspects of an overall technology (ICT-Information and Communications Technology) within sustainability objectives. As well as, this study set out to develop an anti-corruption schematic platform (a basic concept at this stage using mobile/PC application) for corruption effective reduction considering the real-life acceptance condition of the least developing nations. With an ultimate aim to add value to the prosperity trend and alleviate the corruption rate. The proposed schematic platform for anti-corruption elimination in term of the developing nation, ultimately contributes to achieve the goals of global and national levels' endeavor toward transparency by deploying the proposed solution as a pilot project for a long-run sustainability.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114755375","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8614888
Yasser Attiga, Shih-Yin Chen, J. LaGue, Anaelia Ovalle, Nathan Stott, T. Brander, Abdullah Khaled, Gaurika Tyagi, P. Francis-Lyon
This study investigates the use of Deep Neural Learning to predict propensity for disease from demographic information alone, with thyroid disease as the test application. The imbalanced dataset of 747,301 samples contained 13 demographic predictor variables that were not known to be associated with the disease, and had much missing information. A TensorFlow feed-forward neural network was trained to predict thyroid disease. Different activation functions and a variety of up-sampling and down-sampling methods were employed. The lift statistic was used to evaluate success in identifying patients with a propensity for thyroid disease. The DNN model outperformed the Random Forest model with a 36.63% improvement in the lift statistic. These results suggest that deep learning may be successfully employed to select candidates for early intervention for improved health outcomes, utilizing a large dataset with only minimal demographic variables, similar to datasets that are held by the marketing arms of healthcare providers.
{"title":"Applying Deep Learning to Public Health: Using Unbalanced Demographic Data to Predict Thyroid Disorder","authors":"Yasser Attiga, Shih-Yin Chen, J. LaGue, Anaelia Ovalle, Nathan Stott, T. Brander, Abdullah Khaled, Gaurika Tyagi, P. Francis-Lyon","doi":"10.1109/IEMCON.2018.8614888","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614888","url":null,"abstract":"This study investigates the use of Deep Neural Learning to predict propensity for disease from demographic information alone, with thyroid disease as the test application. The imbalanced dataset of 747,301 samples contained 13 demographic predictor variables that were not known to be associated with the disease, and had much missing information. A TensorFlow feed-forward neural network was trained to predict thyroid disease. Different activation functions and a variety of up-sampling and down-sampling methods were employed. The lift statistic was used to evaluate success in identifying patients with a propensity for thyroid disease. The DNN model outperformed the Random Forest model with a 36.63% improvement in the lift statistic. These results suggest that deep learning may be successfully employed to select candidates for early intervention for improved health outcomes, utilizing a large dataset with only minimal demographic variables, similar to datasets that are held by the marketing arms of healthcare providers.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114713585","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8614843
Jinhui Xia, Navid Amiri, J. Jatskevich, Yuanbo Guo, Xiaohua Zhang
For the interior permanent magnet synchronous motors (IPMSMs), the flux linkage variations caused by demagnetization and temperature effects commonly exist, which deteriorate the accuracy of maximum torque per ampere (MTPA) operation. This paper proposes an adaptive MTPA control method for IPMSM drives that takes into account the flux variations. The method works by considering the relationships among the flux linkage of the permanent magnet, the d-axis current, and the temperature using the knowledge of the demagnetization curves. The optimal current angle for the MTPA operation is online computed by updating the flux linkage. The proposed adaptive MTPA control strategy is demonstrated on a speed servo control system of the IPMSM. Simulation studies are carried out to validate the effectiveness and robustness of the proposed control method.
{"title":"An Adaptive MTPA Control Method for Interior Permanent Magnet Synchronous Motors Considering Demagnetization and Temperature Effects","authors":"Jinhui Xia, Navid Amiri, J. Jatskevich, Yuanbo Guo, Xiaohua Zhang","doi":"10.1109/IEMCON.2018.8614843","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8614843","url":null,"abstract":"For the interior permanent magnet synchronous motors (IPMSMs), the flux linkage variations caused by demagnetization and temperature effects commonly exist, which deteriorate the accuracy of maximum torque per ampere (MTPA) operation. This paper proposes an adaptive MTPA control method for IPMSM drives that takes into account the flux variations. The method works by considering the relationships among the flux linkage of the permanent magnet, the d-axis current, and the temperature using the knowledge of the demagnetization curves. The optimal current angle for the MTPA operation is online computed by updating the flux linkage. The proposed adaptive MTPA control strategy is demonstrated on a speed servo control system of the IPMSM. Simulation studies are carried out to validate the effectiveness and robustness of the proposed control method.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127141710","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 : 2018-11-01DOI: 10.1109/IEMCON.2018.8615084
S. K. Basak, Marguerite Wotto, P. Bélanger
This study analyzes factors affecting international student's intentional m-learning use in higher education. Using the UTAUT model and four other variables, a framework was developed. Data was collected from seventeen students' from a Canadian public university. This data was analyzed using the SPSS version 24.0 and WarpPLS 5.0. Results show that performance expectancy and effort expectancy equally predicts m-learning behavioral intention in higher education. Furthermore, social factors have the highest significant factor on the behavioral intention. Finally, facilitating condition negatively influences m-learning behavioral intention. This study presents both theoretical and empirical contribution in order to understand predicting variables on m-learning use in higher education.
{"title":"University Students' M-leaming Adaption Behavioral Factors: A Pilot Study","authors":"S. K. Basak, Marguerite Wotto, P. Bélanger","doi":"10.1109/IEMCON.2018.8615084","DOIUrl":"https://doi.org/10.1109/IEMCON.2018.8615084","url":null,"abstract":"This study analyzes factors affecting international student's intentional m-learning use in higher education. Using the UTAUT model and four other variables, a framework was developed. Data was collected from seventeen students' from a Canadian public university. This data was analyzed using the SPSS version 24.0 and WarpPLS 5.0. Results show that performance expectancy and effort expectancy equally predicts m-learning behavioral intention in higher education. Furthermore, social factors have the highest significant factor on the behavioral intention. Finally, facilitating condition negatively influences m-learning behavioral intention. This study presents both theoretical and empirical contribution in order to understand predicting variables on m-learning use in higher education.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125303781","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 : 2018-11-01DOI: 10.1109/iemcon.2018.8615101
Himadri Nath Saha, Tanishq Banerjee, Somshubhra Roy, S. Pandit, Sayan Dutta, Subham Sadhukhan, Nityasree Upadhyay, P. Chakraborty, Souranshu Ghosh
In this paper, we present an effective implementation of loT(lnternet of Things)which is used for monitoring regular domestic appliances. Our system facilitates energy conservation as well. The proposed system is using the concept of IoT that uses computers or mobile devices to control basic domestic appliances and features automaticallyfrom a large distance. There are five sub-projects namely: automated water tap control system, automated lighting control system, automated door lock system, automated gas detector system and automated temperature control system. The automated water tap control system detects the level of the water and controls the tap accordingly. The automated lighting control system detects the presence of a person in a room and glows the light accordingly. The objective of automated door lock system is to enhance the security of the home. The gas detector system rings an alarm on detecting leakage of any kind of gas. The temperature control system detects the rise in temperature of the room and controls the air conditioner subsequently. The proposed system performs better than all the existing systems in terms of energy efficiency, cost, usability and portability. Our aim is to propose a system which would minimize the wastage of energy as well as human effort starting from our home itself.
{"title":"An Integrated Solution for Monitoring Domestic Appliances Using iot Facilitating Energy Conservation","authors":"Himadri Nath Saha, Tanishq Banerjee, Somshubhra Roy, S. Pandit, Sayan Dutta, Subham Sadhukhan, Nityasree Upadhyay, P. Chakraborty, Souranshu Ghosh","doi":"10.1109/iemcon.2018.8615101","DOIUrl":"https://doi.org/10.1109/iemcon.2018.8615101","url":null,"abstract":"In this paper, we present an effective implementation of loT(lnternet of Things)which is used for monitoring regular domestic appliances. Our system facilitates energy conservation as well. The proposed system is using the concept of IoT that uses computers or mobile devices to control basic domestic appliances and features automaticallyfrom a large distance. There are five sub-projects namely: automated water tap control system, automated lighting control system, automated door lock system, automated gas detector system and automated temperature control system. The automated water tap control system detects the level of the water and controls the tap accordingly. The automated lighting control system detects the presence of a person in a room and glows the light accordingly. The objective of automated door lock system is to enhance the security of the home. The gas detector system rings an alarm on detecting leakage of any kind of gas. The temperature control system detects the rise in temperature of the room and controls the air conditioner subsequently. The proposed system performs better than all the existing systems in terms of energy efficiency, cost, usability and portability. Our aim is to propose a system which would minimize the wastage of energy as well as human effort starting from our home itself.","PeriodicalId":368939,"journal":{"name":"2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127056987","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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