Pub Date : 2019-05-01DOI: 10.1109/ICASERT.2019.8934596
Ashikur Rahman, S. Mehedy, R. Rahman
The fundamental objective of this paper is to describe the applications of Microsoft Kinect sensor with robust algorithm and solution to present 3-D surface reconstruction mapping with different measurements. In the line of Sensor operations, there could be two possible categories into 3-D reconstructions such as exorbitant laser scanner and other is by taking photos from various angles. In this paper, we have used indoor environmental scenes by depth sensor camera Microsoft Kinect. Data Pre-operations, sensor posture evaluations, computational fusion of the depth sensor data and 3-D surface extractions are the four major part of this experiment. The algorithm of this paper has been built uniquely with C# programming
{"title":"Kinect 3D Reconstruction Fusion Mapping with C# Algorithm by RGB-D Sensor","authors":"Ashikur Rahman, S. Mehedy, R. Rahman","doi":"10.1109/ICASERT.2019.8934596","DOIUrl":"https://doi.org/10.1109/ICASERT.2019.8934596","url":null,"abstract":"The fundamental objective of this paper is to describe the applications of Microsoft Kinect sensor with robust algorithm and solution to present 3-D surface reconstruction mapping with different measurements. In the line of Sensor operations, there could be two possible categories into 3-D reconstructions such as exorbitant laser scanner and other is by taking photos from various angles. In this paper, we have used indoor environmental scenes by depth sensor camera Microsoft Kinect. Data Pre-operations, sensor posture evaluations, computational fusion of the depth sensor data and 3-D surface extractions are the four major part of this experiment. The algorithm of this paper has been built uniquely with C# programming","PeriodicalId":6613,"journal":{"name":"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85111528","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 : 2019-05-01DOI: 10.1109/ICASERT.2019.8934466
V. Sarker, J. P. Queralta, Tuan Anh Nguyen Gia, H. Tenhunen, Tomi Westerlund
Indoor mobile robots are widely used in industrial environments such as large logistic warehouses. They are often in charge of collecting or sorting products. For such robots, computation-intensive operations account for a significant percentage of the total energy consumption and consequently affect battery life. Besides, in order to keep both the power consumption and hardware complexity low, simple micro-controllers or single-board computers are used as onboard local control units. This limits the computational capabilities of robots and consequently their performance. Offloading heavy computation to Cloud servers has been a widely used approach to solve this problem for cases where large amounts of sensor data such as real-time video feeds need to be analyzed. More recently, Fog and Edge computing are being leveraged for offloading tasks such as image processing and complex navigation algorithms involving non-linear mathematical operations. In this paper, we present a system architecture for offloading computationally expensive localization and mapping tasks to smart Edge gateways which use Fog services. We show how Edge computing brings computational capabilities of the Cloud to the robot environment without compromising operational reliability due to connection issues. Furthermore, we analyze the power consumption of a prototype robot vehicle in different modes and show how battery life can be significantly improved by moving the processing of data to the Edge layer.
{"title":"Offloading SLAM for Indoor Mobile Robots with Edge-Fog-Cloud Computing","authors":"V. Sarker, J. P. Queralta, Tuan Anh Nguyen Gia, H. Tenhunen, Tomi Westerlund","doi":"10.1109/ICASERT.2019.8934466","DOIUrl":"https://doi.org/10.1109/ICASERT.2019.8934466","url":null,"abstract":"Indoor mobile robots are widely used in industrial environments such as large logistic warehouses. They are often in charge of collecting or sorting products. For such robots, computation-intensive operations account for a significant percentage of the total energy consumption and consequently affect battery life. Besides, in order to keep both the power consumption and hardware complexity low, simple micro-controllers or single-board computers are used as onboard local control units. This limits the computational capabilities of robots and consequently their performance. Offloading heavy computation to Cloud servers has been a widely used approach to solve this problem for cases where large amounts of sensor data such as real-time video feeds need to be analyzed. More recently, Fog and Edge computing are being leveraged for offloading tasks such as image processing and complex navigation algorithms involving non-linear mathematical operations. In this paper, we present a system architecture for offloading computationally expensive localization and mapping tasks to smart Edge gateways which use Fog services. We show how Edge computing brings computational capabilities of the Cloud to the robot environment without compromising operational reliability due to connection issues. Furthermore, we analyze the power consumption of a prototype robot vehicle in different modes and show how battery life can be significantly improved by moving the processing of data to the Edge layer.","PeriodicalId":6613,"journal":{"name":"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)","volume":"28 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82308216","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 : 2019-05-01DOI: 10.1109/ICASERT.2019.8934550
Nesar Uddin, S. Nahian, Md. Saiful Islam, Jewel Sikder Joy
This research paper proposes an energy generation system to utilize renewable energy for off-grid area of Bangladesh which includes hill track areas and Rohinga camps. Most of the hill track areas and Rohinga camps did not access electricity. Again, present system loss of electricity is a great problem in Bangladesh. The main purpose of the paper is to design an optimal hybrid energy management system using HOMER control technique and Fuzzy Logic Controller (FLC). The system consists of PV arrays, Biogas generator, diesel generator, converter and Battery. We have used the HOMER software for effective size calculation of the system components. FLC is used to manage the obtained power from renewable energy sources efficiently. Optimum fuzzy rules are designed to control the shifting of the switches considering the load profiles and availability of renewable sources on a given period of time. For the justification of cost effectiveness and power management system simulation result from our control strategy have been compared with other prevailing systems. In addition, we obtain lower CO2 emission from the system renewable fraction which indicates the environment friendliness. This simulation result provides a summary to utilize renewable energy with properly on recent energy crises in Bangladesh.
{"title":"Optimization and energy management of hybrid renewable power generation using HOMER and FLC","authors":"Nesar Uddin, S. Nahian, Md. Saiful Islam, Jewel Sikder Joy","doi":"10.1109/ICASERT.2019.8934550","DOIUrl":"https://doi.org/10.1109/ICASERT.2019.8934550","url":null,"abstract":"This research paper proposes an energy generation system to utilize renewable energy for off-grid area of Bangladesh which includes hill track areas and Rohinga camps. Most of the hill track areas and Rohinga camps did not access electricity. Again, present system loss of electricity is a great problem in Bangladesh. The main purpose of the paper is to design an optimal hybrid energy management system using HOMER control technique and Fuzzy Logic Controller (FLC). The system consists of PV arrays, Biogas generator, diesel generator, converter and Battery. We have used the HOMER software for effective size calculation of the system components. FLC is used to manage the obtained power from renewable energy sources efficiently. Optimum fuzzy rules are designed to control the shifting of the switches considering the load profiles and availability of renewable sources on a given period of time. For the justification of cost effectiveness and power management system simulation result from our control strategy have been compared with other prevailing systems. In addition, we obtain lower CO2 emission from the system renewable fraction which indicates the environment friendliness. This simulation result provides a summary to utilize renewable energy with properly on recent energy crises in Bangladesh.","PeriodicalId":6613,"journal":{"name":"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)","volume":"27 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81916464","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}
Non-Functional Requirements (NFR) describe a set of quality attributes required for a software such as security, reliability, performance, etc. Extracting and considering NFR from software requirement specification can help developers to deliver quality software which meets users expectations completely. Since, the functional and non-functional requirements are mixed together within the same SRS, it requires a lot of human effort for distinguishing them. This paper proposed automatic NFR classification approach for quality software development by combining machine learning feature extraction and classification techniques. An empirical study with seven machine learning algorithms and four feature selection approaches have been applied to automatically classify NFR for finding out the best pair. The experiments were measured with statistical analysis including precision, recall, F1-score, and accuracy of the classification results through all the combinations of the techniques and algorithms. It is found that, SGD SVM classifier achieves best results where precision, recall, F1-score, and accuracy reported as 0.66, 0.61, 0.61, and 0.76 respectively. Additionally, TF-IDF (character level) feature extraction technique illustrated higher average score than others.
{"title":"Non-Functional Requirements Classification with Feature Extraction and Machine Learning: An Empirical Study","authors":"Md Ariful Haque, Md. Abdur Rahman, Md. Saeed Siddik","doi":"10.1109/ICASERT.2019.8934499","DOIUrl":"https://doi.org/10.1109/ICASERT.2019.8934499","url":null,"abstract":"Non-Functional Requirements (NFR) describe a set of quality attributes required for a software such as security, reliability, performance, etc. Extracting and considering NFR from software requirement specification can help developers to deliver quality software which meets users expectations completely. Since, the functional and non-functional requirements are mixed together within the same SRS, it requires a lot of human effort for distinguishing them. This paper proposed automatic NFR classification approach for quality software development by combining machine learning feature extraction and classification techniques. An empirical study with seven machine learning algorithms and four feature selection approaches have been applied to automatically classify NFR for finding out the best pair. The experiments were measured with statistical analysis including precision, recall, F1-score, and accuracy of the classification results through all the combinations of the techniques and algorithms. It is found that, SGD SVM classifier achieves best results where precision, recall, F1-score, and accuracy reported as 0.66, 0.61, 0.61, and 0.76 respectively. Additionally, TF-IDF (character level) feature extraction technique illustrated higher average score than others.","PeriodicalId":6613,"journal":{"name":"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)","volume":"184 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89274908","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 : 2019-05-01DOI: 10.1109/ICASERT.2019.8934651
Md. Ashiq Mahmood, K. Hasan
Data compression is the way toward modifying, encoding or changing over the bit structure of data in such a way that it expends less space. Character encoding is somewhat related to data compression which represents a character by some sort of encoding framework. Encoding is the way toward putting a succession of characters into a specific arrangement for effective transmission or capacity. Compression of data covers a giant domain of employments including information correspondence, information storing and database development. In this paper we propose an efficient and new compression algorithm for large natural datasets where any characters is encoded by 5 bits called 5-Bit Compression (5BC). The algorithm manages an encoding procedure by 5 bits for any characters in English and Bangla using table look up. The look up table is constructed by using Zipf distribution. The Zipf distribution is a discrete distribution of commonly used characters in different languages. 8 bit characters are converted to 5 bits by parting the characters into 7 sets and utilizing them in a solitary table. The character’s location is then used uniquely encoding by 5 bits. The text can be compressed by 5BC is more than 60% of the actual text. The algorithm for decompression to recover the original data is depicted also. After the output string of 5BC is produced, LZW and Huffman techniques further compress the output string. Optimistic performance is demonstrated by our experimental result.
{"title":"Efficient Compression Scheme for Large Natural Text Using Zipf Distribution","authors":"Md. Ashiq Mahmood, K. Hasan","doi":"10.1109/ICASERT.2019.8934651","DOIUrl":"https://doi.org/10.1109/ICASERT.2019.8934651","url":null,"abstract":"Data compression is the way toward modifying, encoding or changing over the bit structure of data in such a way that it expends less space. Character encoding is somewhat related to data compression which represents a character by some sort of encoding framework. Encoding is the way toward putting a succession of characters into a specific arrangement for effective transmission or capacity. Compression of data covers a giant domain of employments including information correspondence, information storing and database development. In this paper we propose an efficient and new compression algorithm for large natural datasets where any characters is encoded by 5 bits called 5-Bit Compression (5BC). The algorithm manages an encoding procedure by 5 bits for any characters in English and Bangla using table look up. The look up table is constructed by using Zipf distribution. The Zipf distribution is a discrete distribution of commonly used characters in different languages. 8 bit characters are converted to 5 bits by parting the characters into 7 sets and utilizing them in a solitary table. The character’s location is then used uniquely encoding by 5 bits. The text can be compressed by 5BC is more than 60% of the actual text. The algorithm for decompression to recover the original data is depicted also. After the output string of 5BC is produced, LZW and Huffman techniques further compress the output string. Optimistic performance is demonstrated by our experimental result.","PeriodicalId":6613,"journal":{"name":"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)","volume":"70 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86728389","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 : 2019-05-01DOI: 10.1109/ICASERT.2019.8934643
M. Hakim, Afrida Arshad, S. Shoma, U. Saha
We perform a feasibility study on the application of thin film polycrystalline silicon (polysilicon) nanowires for gas sensing application upon exposure into different gas ambient. The nano-sensors are developed in a relatively cheap reactive ion etching system using a low-density plasma based etch and mature 3 micron lithography. Systematic measurements in air, vacuum, hydrogen and isopropyl alcohol demonstrate promising gas sensitivity and impressive response/recovery times in room temperature. The modification of surface states in nanowires upon exposure into different gas ambient is confirmed through 3D numerical simulation. This investigation demonstrates the potential of polysilicon nanowires for detecting molecules in gas phase thereby reveals that the polysilicon nanowire sensor is promising for a simple, low cost, manufacturable route for gas-sensor fabrication.
{"title":"An investigation on the surface states evolution of polycrystalline silicon nanowires for gas sensing application","authors":"M. Hakim, Afrida Arshad, S. Shoma, U. Saha","doi":"10.1109/ICASERT.2019.8934643","DOIUrl":"https://doi.org/10.1109/ICASERT.2019.8934643","url":null,"abstract":"We perform a feasibility study on the application of thin film polycrystalline silicon (polysilicon) nanowires for gas sensing application upon exposure into different gas ambient. The nano-sensors are developed in a relatively cheap reactive ion etching system using a low-density plasma based etch and mature 3 micron lithography. Systematic measurements in air, vacuum, hydrogen and isopropyl alcohol demonstrate promising gas sensitivity and impressive response/recovery times in room temperature. The modification of surface states in nanowires upon exposure into different gas ambient is confirmed through 3D numerical simulation. This investigation demonstrates the potential of polysilicon nanowires for detecting molecules in gas phase thereby reveals that the polysilicon nanowire sensor is promising for a simple, low cost, manufacturable route for gas-sensor fabrication.","PeriodicalId":6613,"journal":{"name":"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)","volume":"34 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88302351","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 : 2019-05-01DOI: 10.1109/ICASERT.2019.8934624
M. Murshed, Md. Yeasin Arafat, M. Abdur Razzak
Harnessing wind energy across all over the globe increasing due to raw energy availability and uses of a higher grade of optimized technology. Mostly European countries are adopted this energy expansion over other regions because of the huge availability of wind in these areas. The potential of wind energy in Bangladesh is not tremendously good but has some good prospect if modern technology and greater optimization can take place. Presently the coastal regions, as well as Cox's Bazar, Chittagong, Teknaf, Patenga, Mongla, and Kutubdia, are a most suitable point to harnessing or working on wind energy. Although the velocity of wind in these regions is not perfect for harnessing energy from a big size wind turbine rather it is quite capable to generate electricity from small size turbine in an efficient way. Vertical axis wind turbine (VAWT) is perfectly appropriate for extracting the maximum power from wind in such these low wind speed area. NACA foil is mainly prioritized to build this type small sized VAWT system because of the low maintained mechanism. The small-sized VAWT system needs more analyzed wind data to work in an optimized condition. The positions and efficiency of the turbine system are highly depend on the blade lift and drag coefficient because of random wind flow directions. Counting all these points the main objective is to examine the wind data available in these areas and design a vertical axis wind turbine (VAWT) suitable for small sized electricity generation system in an efficient way by optimizing turbine blades and its foil mechanism.
{"title":"Analysis of Air Foils and Design of Blades for a Low-Speed 250W Vertical Axis Wind Turbine Suitable for Coastal Areas of Bangladesh","authors":"M. Murshed, Md. Yeasin Arafat, M. Abdur Razzak","doi":"10.1109/ICASERT.2019.8934624","DOIUrl":"https://doi.org/10.1109/ICASERT.2019.8934624","url":null,"abstract":"Harnessing wind energy across all over the globe increasing due to raw energy availability and uses of a higher grade of optimized technology. Mostly European countries are adopted this energy expansion over other regions because of the huge availability of wind in these areas. The potential of wind energy in Bangladesh is not tremendously good but has some good prospect if modern technology and greater optimization can take place. Presently the coastal regions, as well as Cox's Bazar, Chittagong, Teknaf, Patenga, Mongla, and Kutubdia, are a most suitable point to harnessing or working on wind energy. Although the velocity of wind in these regions is not perfect for harnessing energy from a big size wind turbine rather it is quite capable to generate electricity from small size turbine in an efficient way. Vertical axis wind turbine (VAWT) is perfectly appropriate for extracting the maximum power from wind in such these low wind speed area. NACA foil is mainly prioritized to build this type small sized VAWT system because of the low maintained mechanism. The small-sized VAWT system needs more analyzed wind data to work in an optimized condition. The positions and efficiency of the turbine system are highly depend on the blade lift and drag coefficient because of random wind flow directions. Counting all these points the main objective is to examine the wind data available in these areas and design a vertical axis wind turbine (VAWT) suitable for small sized electricity generation system in an efficient way by optimizing turbine blades and its foil mechanism.","PeriodicalId":6613,"journal":{"name":"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)","volume":"21 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85906000","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 : 2019-05-01DOI: 10.1109/ICASERT.2019.8934581
Md. Waqeeb T. S. Chowdhury, M. Alam, Abidur Rahman
In this paper a model is proposed and explained in brief on how to manage loads efficiently from the utility end using Power Line Communications (PLC). The model employs the principle of PLC along with the industry based technology called X10 to serve the purpose. The loads at the user end are classified according to its importance and power consuming characteristics, and are allotted X10 device codes. Each power consuming utility is assigned an IP address, which aids in selecting a particular load or a group of loads as per requirements. A simple schematic diagram that illustrates the process is also provided. Moreover, since the used PLC scheme is the Narrow-Band PLC (NB-PLC), a simulation based result is also provided that defines a small segment of the entire NB-PLC frequency range that is suitable for the purpose.
{"title":"Application of Power Line Communication and X10 to Reduce the Load Shedding Problems in Power Deficit Countries","authors":"Md. Waqeeb T. S. Chowdhury, M. Alam, Abidur Rahman","doi":"10.1109/ICASERT.2019.8934581","DOIUrl":"https://doi.org/10.1109/ICASERT.2019.8934581","url":null,"abstract":"In this paper a model is proposed and explained in brief on how to manage loads efficiently from the utility end using Power Line Communications (PLC). The model employs the principle of PLC along with the industry based technology called X10 to serve the purpose. The loads at the user end are classified according to its importance and power consuming characteristics, and are allotted X10 device codes. Each power consuming utility is assigned an IP address, which aids in selecting a particular load or a group of loads as per requirements. A simple schematic diagram that illustrates the process is also provided. Moreover, since the used PLC scheme is the Narrow-Band PLC (NB-PLC), a simulation based result is also provided that defines a small segment of the entire NB-PLC frequency range that is suitable for the purpose.","PeriodicalId":6613,"journal":{"name":"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)","volume":"24 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86092812","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 : 2019-05-01DOI: 10.1109/ICASERT.2019.8934824
Faishal Islam Bappy, Md Jahirul Islam, A. Podder, Debopriya Roy Dipta, Hossain Mansur Resalat Faruque, Eklas Hossain
Hybrid renewable energy systems (HRESs) have a great potentiality to provide a more reliable power supply, when compared to a system based on a standalone source. The hybrid system supports the modular design that can mitigate problems associated with the use of individual sources by combining them all in a systematic procedure. In this paper, comparative study for analyzing the effects of four different systems namely: photovoltaic (PV) stand-alone with storage unit, PV-battery-grid system, PV-diesel-battery system, and PV-diesel-grid system are carried out using the HOMER software. Furthermore, an optimal cost analysis is also conducted based on net present cost (NPC). In addition, using real satellite footage with the help of HELIOSCOPE software, an effective configuration of PV array is designed based on real solar irradiance data. The cost optimization of the HRES is developed on the basis of the sets of real data collected from Khulna University of Engineering and Technology (KUET), Khulna, Bangladesh. The study reveals that the approach with PV-diesel-battery system has comparatively lower NPC, less fuel cost, and a limited carbon footprint along with excess electricity to contribute to the national grid.
{"title":"Comparison of Different Hybrid Renewable Energy Systems With Optimized PV Configuration to Realize the Effects of Multiple Schemes","authors":"Faishal Islam Bappy, Md Jahirul Islam, A. Podder, Debopriya Roy Dipta, Hossain Mansur Resalat Faruque, Eklas Hossain","doi":"10.1109/ICASERT.2019.8934824","DOIUrl":"https://doi.org/10.1109/ICASERT.2019.8934824","url":null,"abstract":"Hybrid renewable energy systems (HRESs) have a great potentiality to provide a more reliable power supply, when compared to a system based on a standalone source. The hybrid system supports the modular design that can mitigate problems associated with the use of individual sources by combining them all in a systematic procedure. In this paper, comparative study for analyzing the effects of four different systems namely: photovoltaic (PV) stand-alone with storage unit, PV-battery-grid system, PV-diesel-battery system, and PV-diesel-grid system are carried out using the HOMER software. Furthermore, an optimal cost analysis is also conducted based on net present cost (NPC). In addition, using real satellite footage with the help of HELIOSCOPE software, an effective configuration of PV array is designed based on real solar irradiance data. The cost optimization of the HRES is developed on the basis of the sets of real data collected from Khulna University of Engineering and Technology (KUET), Khulna, Bangladesh. The study reveals that the approach with PV-diesel-battery system has comparatively lower NPC, less fuel cost, and a limited carbon footprint along with excess electricity to contribute to the national grid.","PeriodicalId":6613,"journal":{"name":"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)","volume":"3 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89963939","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 : 2019-05-01DOI: 10.1109/ICASERT.2019.8934760
M. Islam, Mohiudding Ahmad
Electroencephalogram (EEG) that measures the electrical activity of the brain has been used extensively to recognize emotion. Normally feature based emotion recognition requires a strong effort to design the perfect feature or feature set related to the classification of emotion. To curtail the manual human effort we designed a model by using a virtual image from EEG with Convolutional Neural Network (CNN). Initially, we calculated Pearson’s correlation coefficients form different sub-bands of EEG to formulate a virtual image. Later, this virtual image was fed into a CNN architecture to classify emotion. We made two distinct protocols; between these, protocol-1 was to classify positive and negative emotion and protocol-2 was to classify four distinct emotions. An overall maximum accuracy of 81.51% on valence and 79.42% on arousal was obtained by using internationally authorized DEAP dataset. Our proposed method is helpful in recognizing emotions efficiently.
{"title":"Virtual Image from EEG to Recognize Appropriate Emotion using Convolutional Neural Network","authors":"M. Islam, Mohiudding Ahmad","doi":"10.1109/ICASERT.2019.8934760","DOIUrl":"https://doi.org/10.1109/ICASERT.2019.8934760","url":null,"abstract":"Electroencephalogram (EEG) that measures the electrical activity of the brain has been used extensively to recognize emotion. Normally feature based emotion recognition requires a strong effort to design the perfect feature or feature set related to the classification of emotion. To curtail the manual human effort we designed a model by using a virtual image from EEG with Convolutional Neural Network (CNN). Initially, we calculated Pearson’s correlation coefficients form different sub-bands of EEG to formulate a virtual image. Later, this virtual image was fed into a CNN architecture to classify emotion. We made two distinct protocols; between these, protocol-1 was to classify positive and negative emotion and protocol-2 was to classify four distinct emotions. An overall maximum accuracy of 81.51% on valence and 79.42% on arousal was obtained by using internationally authorized DEAP dataset. Our proposed method is helpful in recognizing emotions efficiently.","PeriodicalId":6613,"journal":{"name":"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)","volume":"19 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75330210","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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