Pub Date : 2017-10-01DOI: 10.1109/ICSENGT.2017.8123425
S. N. Jaafar, Siti Khatijah Nor Abdul Rahim, N. Omar, S. Masrom, Amir Hamzah Jaafar
In the past few years, a great attention has been paid for enhancing, solving the conference scheduling problem especially in optimizing the preference-based conference scheduling. This is to ensure that the conference schedule can maximize the satisfactions of participants. Based on our findings, Domain Transformation Approach (DTA) is recently proven to be flexible in generating and producing an effective and good quality result in the preference-based conference scheduling problem. Despite generating good-quality schedules, a few shortcomings have been identified that can be further improved to optimize the schedules. Therefore, this paper proposes a new data representation that have richer information namely room sharing matrix that will be used in the DTA framework to help in optimizing the conference schedules. The main objectives of this study are to satisfy both hard and soft constraints of the problem. The proposed matrix namely room sharing matrix is practically effective and useful as to resolve the conference scheduling problem especially for session hopping problem and capacitated problem.
{"title":"Domain transformation approach: Optimizing the preference-based conference schedules via room sharing matrix","authors":"S. N. Jaafar, Siti Khatijah Nor Abdul Rahim, N. Omar, S. Masrom, Amir Hamzah Jaafar","doi":"10.1109/ICSENGT.2017.8123425","DOIUrl":"https://doi.org/10.1109/ICSENGT.2017.8123425","url":null,"abstract":"In the past few years, a great attention has been paid for enhancing, solving the conference scheduling problem especially in optimizing the preference-based conference scheduling. This is to ensure that the conference schedule can maximize the satisfactions of participants. Based on our findings, Domain Transformation Approach (DTA) is recently proven to be flexible in generating and producing an effective and good quality result in the preference-based conference scheduling problem. Despite generating good-quality schedules, a few shortcomings have been identified that can be further improved to optimize the schedules. Therefore, this paper proposes a new data representation that have richer information namely room sharing matrix that will be used in the DTA framework to help in optimizing the conference schedules. The main objectives of this study are to satisfy both hard and soft constraints of the problem. The proposed matrix namely room sharing matrix is practically effective and useful as to resolve the conference scheduling problem especially for session hopping problem and capacitated problem.","PeriodicalId":350572,"journal":{"name":"2017 7th IEEE International Conference on System Engineering and Technology (ICSET)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124362108","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 : 2017-10-01DOI: 10.1109/ICSENGT.2017.8123412
M. H. Jifri, E. E. Hassan, N. Miswan
Electricity load demand modelling is considered as one of the important area among researchers since electricity are evolving throughout the time. There is a lot of technique to analyze the load demand such as by using classical method or conventional methods. However, most of the techniques only consider univariate data sets. The purpose of the current study is to evaluate the performance of time series and regression in load demand forecasting. Time series models are considered univariate data sets while regression model considered both univariate and multivariate data sets. Time series models considered in this study are Exponential Smoothing (ES) state space, Autoregressive Integrated Moving Average (ARIMA), Autoregressive Autoregressive (ARAR), and Autoregressive Moving Average Error, Trends and Seasonal Components (TBATS) while for regression model, Stepwise Multiple Regression will be considered by using Root Mean Square Error (RMSE) as a forecasting accuracy criteria, the study concludes that the Stepwise Multiple Regression method is more appropriate model.
{"title":"Forecasting performance of time series and regression in modeling electricity load demand","authors":"M. H. Jifri, E. E. Hassan, N. Miswan","doi":"10.1109/ICSENGT.2017.8123412","DOIUrl":"https://doi.org/10.1109/ICSENGT.2017.8123412","url":null,"abstract":"Electricity load demand modelling is considered as one of the important area among researchers since electricity are evolving throughout the time. There is a lot of technique to analyze the load demand such as by using classical method or conventional methods. However, most of the techniques only consider univariate data sets. The purpose of the current study is to evaluate the performance of time series and regression in load demand forecasting. Time series models are considered univariate data sets while regression model considered both univariate and multivariate data sets. Time series models considered in this study are Exponential Smoothing (ES) state space, Autoregressive Integrated Moving Average (ARIMA), Autoregressive Autoregressive (ARAR), and Autoregressive Moving Average Error, Trends and Seasonal Components (TBATS) while for regression model, Stepwise Multiple Regression will be considered by using Root Mean Square Error (RMSE) as a forecasting accuracy criteria, the study concludes that the Stepwise Multiple Regression method is more appropriate model.","PeriodicalId":350572,"journal":{"name":"2017 7th IEEE International Conference on System Engineering and Technology (ICSET)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115537680","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 : 2017-10-01DOI: 10.1109/ICSENGT.2017.8123426
Van Anh Pham, T. Nguyen, T. Vo
Pectoral fin types of biological fish have an enormous diversity, and they play an essential role in locomotion of fish. The adaptation to shapes and movement mechanism of pectoral fin types helps swimming motion of the main body effectively, that results in the high flexibility and maneuverability of locomotion. This paper proposes a hydrodynamic model of a type of flexible pectoral fin (FPF), which can be used to increase the robotic fish motion efficient and reduce the consumed energy. The pectoral fin has the symmetrical shape and varying thickness along the symmetrical axis. Based on the Lagrange energetic method, Assumed Mode Method (AMM), and Rayleigh-Ritz method, the mathematical model of deformation and estimated thrust of the pectoral fin is described explicitly. The effect of inertia and damping factors are modeled by the Morison force. The numerical simulations and some initial experiments are demonstrated to verify the agreement of theoretical and empirical model. The proposed model is expected to support in issues of modeling whole of robotic fish and control design effectively.
{"title":"Hydrodynamic modeling of pectoral fin having varying thickness for biomimetic fish robot","authors":"Van Anh Pham, T. Nguyen, T. Vo","doi":"10.1109/ICSENGT.2017.8123426","DOIUrl":"https://doi.org/10.1109/ICSENGT.2017.8123426","url":null,"abstract":"Pectoral fin types of biological fish have an enormous diversity, and they play an essential role in locomotion of fish. The adaptation to shapes and movement mechanism of pectoral fin types helps swimming motion of the main body effectively, that results in the high flexibility and maneuverability of locomotion. This paper proposes a hydrodynamic model of a type of flexible pectoral fin (FPF), which can be used to increase the robotic fish motion efficient and reduce the consumed energy. The pectoral fin has the symmetrical shape and varying thickness along the symmetrical axis. Based on the Lagrange energetic method, Assumed Mode Method (AMM), and Rayleigh-Ritz method, the mathematical model of deformation and estimated thrust of the pectoral fin is described explicitly. The effect of inertia and damping factors are modeled by the Morison force. The numerical simulations and some initial experiments are demonstrated to verify the agreement of theoretical and empirical model. The proposed model is expected to support in issues of modeling whole of robotic fish and control design effectively.","PeriodicalId":350572,"journal":{"name":"2017 7th IEEE International Conference on System Engineering and Technology (ICSET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129310219","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 : 2017-10-01DOI: 10.1109/ICSENGT.2017.8123439
Z. A. Omar, M. Hanafi, S. Mashohor, N. Mahfudz, M. Muna'im
Diabetic Retinopathy (DR) is an eye disease due to diabetes, which is the most ordinary cause of blindness among adults of working age in Malaysia. To date, DR is still screened manually by ophthalmologist using fundus images due to insufficiently reliable existing automated DR detection systems. However, the manual screening process is the weakest link as it is a complicated and time-consuming process. Hence, this paper proposed an algorithm that consists of DR detection method with the aim to improve the accuracy of the existing systems. The methods used to detect DR features, namely exudates, hemorrhages and blood vessels can be categorized into several stages which are image pre-processing, vessel and hemorrhages detection, optic disc removal and exudate detection. However, the detection for blood vessel and hemorrhages was performed simultaneously due to similar intensity characteristics. The proposed algorithm was trained and tested using 49 and 89 fundus images, respectively. The images used in training were obtained from Hospital Serdang, Malaysia while images used in the testing were obtained from DIARETDB1 database. All of the images were categorized into four DR stages, namely mild Non-Proliferative Diabetic Retinopathy (NPDR), moderate NPDR, severe NPDR and Proliferative Diabetic Retinopathy (PDR). The images were captured under various illumination conditions. In the testing, the result shows that the percentage of detection for blood vessel and hemorrhages, and exudates are 98% and 100%, respectively.
{"title":"Automatic diabetic retinopathy detection and classification system","authors":"Z. A. Omar, M. Hanafi, S. Mashohor, N. Mahfudz, M. Muna'im","doi":"10.1109/ICSENGT.2017.8123439","DOIUrl":"https://doi.org/10.1109/ICSENGT.2017.8123439","url":null,"abstract":"Diabetic Retinopathy (DR) is an eye disease due to diabetes, which is the most ordinary cause of blindness among adults of working age in Malaysia. To date, DR is still screened manually by ophthalmologist using fundus images due to insufficiently reliable existing automated DR detection systems. However, the manual screening process is the weakest link as it is a complicated and time-consuming process. Hence, this paper proposed an algorithm that consists of DR detection method with the aim to improve the accuracy of the existing systems. The methods used to detect DR features, namely exudates, hemorrhages and blood vessels can be categorized into several stages which are image pre-processing, vessel and hemorrhages detection, optic disc removal and exudate detection. However, the detection for blood vessel and hemorrhages was performed simultaneously due to similar intensity characteristics. The proposed algorithm was trained and tested using 49 and 89 fundus images, respectively. The images used in training were obtained from Hospital Serdang, Malaysia while images used in the testing were obtained from DIARETDB1 database. All of the images were categorized into four DR stages, namely mild Non-Proliferative Diabetic Retinopathy (NPDR), moderate NPDR, severe NPDR and Proliferative Diabetic Retinopathy (PDR). The images were captured under various illumination conditions. In the testing, the result shows that the percentage of detection for blood vessel and hemorrhages, and exudates are 98% and 100%, respectively.","PeriodicalId":350572,"journal":{"name":"2017 7th IEEE International Conference on System Engineering and Technology (ICSET)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130875796","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 : 2017-10-01DOI: 10.1109/ICSENGT.2017.8123424
Mohd Badrulhisham Ismail, H. Hashim, Y. Yusoff
In green computing and cloud computing require efficiency in consolidating virtual machine without degrading quality of service. This study, focus on minimizing the migration of Virtual Machine to produce lowest power consumption. To achieve this objective, a new algorithm is used to calculate on the fly the Lower and Upper Threshold Limit using Statistical Process Control theory. This new algorithm is called Dynamics Threshold Optimize System. Three sigma theories are applied in order to get the desire range for the threshold limit. Result proved that DTOS is improve by 1% compare with fix threshold limit.
{"title":"Statistical process control technique: Cloud computing perspective","authors":"Mohd Badrulhisham Ismail, H. Hashim, Y. Yusoff","doi":"10.1109/ICSENGT.2017.8123424","DOIUrl":"https://doi.org/10.1109/ICSENGT.2017.8123424","url":null,"abstract":"In green computing and cloud computing require efficiency in consolidating virtual machine without degrading quality of service. This study, focus on minimizing the migration of Virtual Machine to produce lowest power consumption. To achieve this objective, a new algorithm is used to calculate on the fly the Lower and Upper Threshold Limit using Statistical Process Control theory. This new algorithm is called Dynamics Threshold Optimize System. Three sigma theories are applied in order to get the desire range for the threshold limit. Result proved that DTOS is improve by 1% compare with fix threshold limit.","PeriodicalId":350572,"journal":{"name":"2017 7th IEEE International Conference on System Engineering and Technology (ICSET)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129391797","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 : 2017-10-01DOI: 10.1109/ICSENGT.2017.8123413
Fakhrud Din, K. Z. Zamli
Pairwise strategies have tested effectively a range of software and hardware systems. These testing strategies offer solutions that can substitute exhaustive testing. In simple terms, a pairwise testing strategy significantly minimizes large input parameter values (or configuration options) of a system into a smaller set based on pairwise interaction (or combination). Fuzzy Adaptive Teaching Learning-based Optimization (ATLBO) algorithm is an improved form of Teaching Learning-based Optimization (TLBO) algorithm. ATLBO employs Mamdani fuzzy inference system to select adaptively either teacher phase or learner phase based on performance instead of blind sequential application as in original TLBO. In this paper, two pairwise testing strategies based on ATLBO and TLBO are proposed. Experimental results suggest that the proposed strategies are capable to be part of testers' toolkit as they outperformed competing meta-heuristic based pairwise testing strategies and tools on many pairwise benchmarks. Moreover, ATLBO based strategy generated optimal pairwise test suites than the one based on TLBO.
{"title":"Fuzzy adaptive teaching learning-based optimization strategy for pairwise testing","authors":"Fakhrud Din, K. Z. Zamli","doi":"10.1109/ICSENGT.2017.8123413","DOIUrl":"https://doi.org/10.1109/ICSENGT.2017.8123413","url":null,"abstract":"Pairwise strategies have tested effectively a range of software and hardware systems. These testing strategies offer solutions that can substitute exhaustive testing. In simple terms, a pairwise testing strategy significantly minimizes large input parameter values (or configuration options) of a system into a smaller set based on pairwise interaction (or combination). Fuzzy Adaptive Teaching Learning-based Optimization (ATLBO) algorithm is an improved form of Teaching Learning-based Optimization (TLBO) algorithm. ATLBO employs Mamdani fuzzy inference system to select adaptively either teacher phase or learner phase based on performance instead of blind sequential application as in original TLBO. In this paper, two pairwise testing strategies based on ATLBO and TLBO are proposed. Experimental results suggest that the proposed strategies are capable to be part of testers' toolkit as they outperformed competing meta-heuristic based pairwise testing strategies and tools on many pairwise benchmarks. Moreover, ATLBO based strategy generated optimal pairwise test suites than the one based on TLBO.","PeriodicalId":350572,"journal":{"name":"2017 7th IEEE International Conference on System Engineering and Technology (ICSET)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133008820","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 : 2017-10-01DOI: 10.1109/ICSENGT.2017.8123433
I. T. Ahmed, C. S. Der
Contrast is a very important characteristic for visual perception of image quality. Some No-Reference Image Quality Assessment Algorithm NR-IQA metrics for Contrast-Distorted Images (CDI) have been proposed in the literature, e.g. Reduced-reference Image Quality Metric for Contrast-changed images (RIQMC) and NR-IQA for Contrast-Distorted Images (NR-IQACDI). Here, we intend to improve the assessment results of images available in databases such as TID2013 and CSIQ. Most of the NR-IQA metrics (e.g. NR-IQACDI) designed for CDI adopt features available in the spatial domain. This paper proposes to compliment it with feature in Curvelet domain which is powerful in capturing multiscale and multidirectional information in an image. We employed the Natural Scene Statistics (NSS) features in Curvelet domain originally recommended by Liu et al. (2014) which were found useful in the assessment of the quality of image distorted by compression, noise and blurring. Experiments were then conducted to assess the effect of incorporating these NSS features. The experimental results based on K-fold cross validation (K ranged from 2 to 10) and statistical test showed that the performance of NRIQACDI was improved. Future works include improvements of NRIQACDI, exploration of feature fusion methods and using a suitable feature selection method.
{"title":"Enhancement of no-reference image quality assessment for contrast-distorted images using natural scene statistics features in Curvelet domain","authors":"I. T. Ahmed, C. S. Der","doi":"10.1109/ICSENGT.2017.8123433","DOIUrl":"https://doi.org/10.1109/ICSENGT.2017.8123433","url":null,"abstract":"Contrast is a very important characteristic for visual perception of image quality. Some No-Reference Image Quality Assessment Algorithm NR-IQA metrics for Contrast-Distorted Images (CDI) have been proposed in the literature, e.g. Reduced-reference Image Quality Metric for Contrast-changed images (RIQMC) and NR-IQA for Contrast-Distorted Images (NR-IQACDI). Here, we intend to improve the assessment results of images available in databases such as TID2013 and CSIQ. Most of the NR-IQA metrics (e.g. NR-IQACDI) designed for CDI adopt features available in the spatial domain. This paper proposes to compliment it with feature in Curvelet domain which is powerful in capturing multiscale and multidirectional information in an image. We employed the Natural Scene Statistics (NSS) features in Curvelet domain originally recommended by Liu et al. (2014) which were found useful in the assessment of the quality of image distorted by compression, noise and blurring. Experiments were then conducted to assess the effect of incorporating these NSS features. The experimental results based on K-fold cross validation (K ranged from 2 to 10) and statistical test showed that the performance of NRIQACDI was improved. Future works include improvements of NRIQACDI, exploration of feature fusion methods and using a suitable feature selection method.","PeriodicalId":350572,"journal":{"name":"2017 7th IEEE International Conference on System Engineering and Technology (ICSET)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125544318","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 : 2017-10-01DOI: 10.1109/ICSENGT.2017.8123416
Swaraj Dube, Khor Jeen Ghee, Wong Weng Onn, Quek Zhen Han
The proliferation of Internet of Things (IoT) systems has fuelled the appetite for the sensing of data from the physical world. In this context, smart cameras are one of the more popular intelligent sensor mechanisms to meet this need. As smart cameras become increasing complex, yet cheaper and smaller in size, there is a growing need for an appropriate user interface. This paper presents a user interface for smart cameras that minimizes the need for traditional hardware interfaces such as keyboard, keypad and touchscreen. The proposed solution is focused on utilizing the existing available hardware resources of the smart camera to process visual images of the user input. The resulting data can then be used locally to configure the smart camera itself of transmitted to a remote application for further use.
{"title":"Embedded user interface for smart camera","authors":"Swaraj Dube, Khor Jeen Ghee, Wong Weng Onn, Quek Zhen Han","doi":"10.1109/ICSENGT.2017.8123416","DOIUrl":"https://doi.org/10.1109/ICSENGT.2017.8123416","url":null,"abstract":"The proliferation of Internet of Things (IoT) systems has fuelled the appetite for the sensing of data from the physical world. In this context, smart cameras are one of the more popular intelligent sensor mechanisms to meet this need. As smart cameras become increasing complex, yet cheaper and smaller in size, there is a growing need for an appropriate user interface. This paper presents a user interface for smart cameras that minimizes the need for traditional hardware interfaces such as keyboard, keypad and touchscreen. The proposed solution is focused on utilizing the existing available hardware resources of the smart camera to process visual images of the user input. The resulting data can then be used locally to configure the smart camera itself of transmitted to a remote application for further use.","PeriodicalId":350572,"journal":{"name":"2017 7th IEEE International Conference on System Engineering and Technology (ICSET)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121601560","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 : 2017-10-01DOI: 10.1109/ICSENGT.2017.8123444
Yosua Sepri Andaste, M. A. Nugroho, R. Benyamin, B. Trilaksono, Agoes Moelyadi
Flapping Wing Micro Aerial Vehicle (MAV) is the development of Unmanned Aerial Vehicle (UAV) which is smaller and lighter. GaneFly is a flapping wing MAV robot developed in this paper. GaneFly flying platform is designed to be able to fly with flapping mechanism that adapts the flapping wing of the dragonfly and also designed to be able to turn and pitch according to the input command. Design of the GaneFly platform includes the selection and design of mechanical, electrical components, and integration between mechanical and electrical component. Selection of components and materials primarily in the small dimensions and lightweight but still considering the performance. The design of the mechanical adapts to the existing research of the flapping wing MAV. The result of the design is integrated parts with electrical components up to be a flying platform. After going through various processes of trial and repair, the GaneFly platform can fly with its flapping mechanism and can be controlled quite well.
{"title":"Design and construction of flapping wing micro aerial vehicle robot platform","authors":"Yosua Sepri Andaste, M. A. Nugroho, R. Benyamin, B. Trilaksono, Agoes Moelyadi","doi":"10.1109/ICSENGT.2017.8123444","DOIUrl":"https://doi.org/10.1109/ICSENGT.2017.8123444","url":null,"abstract":"Flapping Wing Micro Aerial Vehicle (MAV) is the development of Unmanned Aerial Vehicle (UAV) which is smaller and lighter. GaneFly is a flapping wing MAV robot developed in this paper. GaneFly flying platform is designed to be able to fly with flapping mechanism that adapts the flapping wing of the dragonfly and also designed to be able to turn and pitch according to the input command. Design of the GaneFly platform includes the selection and design of mechanical, electrical components, and integration between mechanical and electrical component. Selection of components and materials primarily in the small dimensions and lightweight but still considering the performance. The design of the mechanical adapts to the existing research of the flapping wing MAV. The result of the design is integrated parts with electrical components up to be a flying platform. After going through various processes of trial and repair, the GaneFly platform can fly with its flapping mechanism and can be controlled quite well.","PeriodicalId":350572,"journal":{"name":"2017 7th IEEE International Conference on System Engineering and Technology (ICSET)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123061262","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 : 2017-10-01DOI: 10.1109/ICSENGT.2017.8123442
ZAINAH BINTI MD. ZAIN, M. Munaaim, M. Mat-Noh
Real-time monitoring system of effluent discharge of Sewerage Treatment Plant (STP) has received attention and interest in the context of providing an accurate and continuous waste water quality information by following the minimum criteria of water quality as applied in the Department of Environmental (DOE) and Indah Water Konsortium (IWK) practice. The system not only can be monitored, but also can store the continuous measurement of data for long periods of time and assessible remotely without skilled staff being required to perform the analysis since the STP is normally located at hazardous and isolated location. This paper presents a water quality monitoring system using a microcontroller module technology which is powered by a solar panel. Data collected by various sensors at base station is sent via wireless channel (NRF2401) to the remote site and will be displayed at Graphical User Interface (GUI) using Visual Studio. The real-time data is saved in .txt file for further analysis. If the obtained value is above the threshold value, automated warning SMS will be sent to alert the responsible personnel.
{"title":"Solar powered microcontroller module for real-time sewerage treatment plant monitoring system: Prototype development","authors":"ZAINAH BINTI MD. ZAIN, M. Munaaim, M. Mat-Noh","doi":"10.1109/ICSENGT.2017.8123442","DOIUrl":"https://doi.org/10.1109/ICSENGT.2017.8123442","url":null,"abstract":"Real-time monitoring system of effluent discharge of Sewerage Treatment Plant (STP) has received attention and interest in the context of providing an accurate and continuous waste water quality information by following the minimum criteria of water quality as applied in the Department of Environmental (DOE) and Indah Water Konsortium (IWK) practice. The system not only can be monitored, but also can store the continuous measurement of data for long periods of time and assessible remotely without skilled staff being required to perform the analysis since the STP is normally located at hazardous and isolated location. This paper presents a water quality monitoring system using a microcontroller module technology which is powered by a solar panel. Data collected by various sensors at base station is sent via wireless channel (NRF2401) to the remote site and will be displayed at Graphical User Interface (GUI) using Visual Studio. The real-time data is saved in .txt file for further analysis. If the obtained value is above the threshold value, automated warning SMS will be sent to alert the responsible personnel.","PeriodicalId":350572,"journal":{"name":"2017 7th IEEE International Conference on System Engineering and Technology (ICSET)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127806822","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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