Pub Date : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293721
Akito Nakadomari, Ryuto Shigenobu, T. Senjyu
This paper describes optimal voltage control and optimal placement of the three-phase individual step voltage regulator (3ϕSVR) considering voltage unbalance improvement. As a result of active efforts to promote renewable energy, there is a concern that voltage unbalance will increase due to an increase in distributed power sources. Therefore, this paper proposes the optimal control and placement method for 3ϕSVR for voltage unbalance improvement and loss minimization. Simulations verified that all the voltage unbalanced indices satisfied the constraint value and the objective function improved. These results confirmed that the effectiveness of the optimal control and placement method for 3ϕSVR.
{"title":"Optimal Control and Placement of Step Voltage Regulator for Voltage Unbalance Improvement and Loss Minimization in Distribution System","authors":"Akito Nakadomari, Ryuto Shigenobu, T. Senjyu","doi":"10.1109/TENCON50793.2020.9293721","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293721","url":null,"abstract":"This paper describes optimal voltage control and optimal placement of the three-phase individual step voltage regulator (3ϕSVR) considering voltage unbalance improvement. As a result of active efforts to promote renewable energy, there is a concern that voltage unbalance will increase due to an increase in distributed power sources. Therefore, this paper proposes the optimal control and placement method for 3ϕSVR for voltage unbalance improvement and loss minimization. Simulations verified that all the voltage unbalanced indices satisfied the constraint value and the objective function improved. These results confirmed that the effectiveness of the optimal control and placement method for 3ϕSVR.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121063345","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293693
Marcia Coleen N. Marcial, J. R. Santillan
Mapping tree species is essential for monitoring, planning, and better managing industrial tree plantations (ITP). Due to the intensive procedure of field sampling and multi-class manual training data collection for image classification, an approach that allows fewer data would be efficient. This study evaluated the performance of a one-class classifier called Maximum Entropy (MaxEnt) for mapping Falcata (Paraserianthes falcataria) in Sentinel-2 imagery. Two MaxEnt parameters were tested, namely sample size and binary threshold. Using a default threshold of 0.5, MaxEnt can provide classification accuracies ranging from 89.41-92.84% using sample sizes as small as 30 and as high as 500. A 0.3 binary threshold applied to MaxEnt logistic output with 500 samples were the best parameter values for classifying Falcata using Sentinel-2 imagery.
{"title":"A Maximum Entropy Approach for Mapping Falcata Plantations in Sentinel-2 Imagery","authors":"Marcia Coleen N. Marcial, J. R. Santillan","doi":"10.1109/TENCON50793.2020.9293693","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293693","url":null,"abstract":"Mapping tree species is essential for monitoring, planning, and better managing industrial tree plantations (ITP). Due to the intensive procedure of field sampling and multi-class manual training data collection for image classification, an approach that allows fewer data would be efficient. This study evaluated the performance of a one-class classifier called Maximum Entropy (MaxEnt) for mapping Falcata (Paraserianthes falcataria) in Sentinel-2 imagery. Two MaxEnt parameters were tested, namely sample size and binary threshold. Using a default threshold of 0.5, MaxEnt can provide classification accuracies ranging from 89.41-92.84% using sample sizes as small as 30 and as high as 500. A 0.3 binary threshold applied to MaxEnt logistic output with 500 samples were the best parameter values for classifying Falcata using Sentinel-2 imagery.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122332261","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293694
Natthaphon Bunathuek, Pudit Laksanacharoen
This work presents simulation of a Reconfigurable Spherical Robot IV for confined environment. The robot is a spherical shape with three legs kept inside spherical shell. Each leg has four degrees of freedom. All three legs can be extended for two types of locomotion such as legged locomotion and rolling sphere. A number of simulation has been done in steering in a wide and small radius of turning, rolling forward motion, and walking breaststroke concept. The simulation results show a promising concept of this new robot.
{"title":"Simulation of A Reconfigurable Spherical Robot IV for Confined Environment","authors":"Natthaphon Bunathuek, Pudit Laksanacharoen","doi":"10.1109/TENCON50793.2020.9293694","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293694","url":null,"abstract":"This work presents simulation of a Reconfigurable Spherical Robot IV for confined environment. The robot is a spherical shape with three legs kept inside spherical shell. Each leg has four degrees of freedom. All three legs can be extended for two types of locomotion such as legged locomotion and rolling sphere. A number of simulation has been done in steering in a wide and small radius of turning, rolling forward motion, and walking breaststroke concept. The simulation results show a promising concept of this new robot.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126776437","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293704
Jing Yi, Miao Zhu, Xu Zhong, Han Wang, X. Cai
For the operational safety and stability of electrical system, effective power flow control in meshed high voltage direct current (HVDC) grids makes sense. In order to realize the objective of controlling several lines simultaneously and independently in a convenient way, interline dc power flow controller (IDCPFC) has been introduced. To cover some shortages of present IDCPFC topologies, an improved triple interline dc power flow controller (TI-DCPFC), capable of controlling power flow of two lines actively, has been proposed in this paper. To explain it thoroughly and explicitly, its operational principle is illustrated combined with the mathematic equations firstly. Then, to validate its capacity of dealing with occasions of bidirectional flows and the dual-freedom control function, the theoretical control strategy and simulation results in a typical working mode are referred to comprehensively.
{"title":"An Improved Triple Interline DC Power Flow Controller for Bidirectional Power Control","authors":"Jing Yi, Miao Zhu, Xu Zhong, Han Wang, X. Cai","doi":"10.1109/TENCON50793.2020.9293704","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293704","url":null,"abstract":"For the operational safety and stability of electrical system, effective power flow control in meshed high voltage direct current (HVDC) grids makes sense. In order to realize the objective of controlling several lines simultaneously and independently in a convenient way, interline dc power flow controller (IDCPFC) has been introduced. To cover some shortages of present IDCPFC topologies, an improved triple interline dc power flow controller (TI-DCPFC), capable of controlling power flow of two lines actively, has been proposed in this paper. To explain it thoroughly and explicitly, its operational principle is illustrated combined with the mathematic equations firstly. Then, to validate its capacity of dealing with occasions of bidirectional flows and the dual-freedom control function, the theoretical control strategy and simulation results in a typical working mode are referred to comprehensively.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126949336","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293807
Maria Belinda D. Campana, L. C. S. Asube, M. Japitana
Remote Sensing has been used nowadays for environmental monitoring as it offers a faster and less expensive way of monitoring the environment. With various activities conducted around the Tubay catchment (e.g., mining, agriculture), monitoring the quality of its soil by determining the heavy metal concentration (HMC) in soil, mainly its Lead (Pb) content, became the main objective of this study. Remote sensing technologies, together with field data, are used in this study to create a model that would predict the lead content of the soil in Tubay catchment through statistical analysis. The model created in this study is used in an ArcGIS software. It resulted to a model-predicted value of -263.993 ppm of Lead in minimum, and a model-predicted value of 308.482 ppm of Lead in maximum. Due to the soil test result, which yields a majority of Not Detected values, the model created in this study is not validated.
{"title":"Assessment of Heavy Metal Concentration in Soil Using Remotely Sensed Data","authors":"Maria Belinda D. Campana, L. C. S. Asube, M. Japitana","doi":"10.1109/TENCON50793.2020.9293807","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293807","url":null,"abstract":"Remote Sensing has been used nowadays for environmental monitoring as it offers a faster and less expensive way of monitoring the environment. With various activities conducted around the Tubay catchment (e.g., mining, agriculture), monitoring the quality of its soil by determining the heavy metal concentration (HMC) in soil, mainly its Lead (Pb) content, became the main objective of this study. Remote sensing technologies, together with field data, are used in this study to create a model that would predict the lead content of the soil in Tubay catchment through statistical analysis. The model created in this study is used in an ArcGIS software. It resulted to a model-predicted value of -263.993 ppm of Lead in minimum, and a model-predicted value of 308.482 ppm of Lead in maximum. Due to the soil test result, which yields a majority of Not Detected values, the model created in this study is not validated.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127516738","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293834
Napat Romlamduan, Worapan Kusakunniran
Nowadays, it is convenient to gain new knowledge and skills by learning from the internet. However, some contents may be hard to understand just by reading texts. Photography knowledge is one of those, in which learner may need a large amount of time and cost to practice it. Therefore, this paper provides an alternative way of a game-based learning tool. It simulates a camera into a game combining with a story and some challenges of engagement. It is designed such that a photography knowledge can be delivered to learners through this developed game. To validate this assumption, 25 participants are asked to join our experiment. They are asked to do a pre-test, play our game, and do a post-test. Then, they are asked to answer questionnaires regarding effectiveness and benefits of the proposed game. It is shown that the participants could improve their scores from the pre-test of 44% to the post-test of 89%, regarding the understanding of photography knowledge. Also, the questionnaires’ results show that our game could help the participants to gain the knowledge.
{"title":"Game-based Learning Tool for Photography","authors":"Napat Romlamduan, Worapan Kusakunniran","doi":"10.1109/TENCON50793.2020.9293834","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293834","url":null,"abstract":"Nowadays, it is convenient to gain new knowledge and skills by learning from the internet. However, some contents may be hard to understand just by reading texts. Photography knowledge is one of those, in which learner may need a large amount of time and cost to practice it. Therefore, this paper provides an alternative way of a game-based learning tool. It simulates a camera into a game combining with a story and some challenges of engagement. It is designed such that a photography knowledge can be delivered to learners through this developed game. To validate this assumption, 25 participants are asked to join our experiment. They are asked to do a pre-test, play our game, and do a post-test. Then, they are asked to answer questionnaires regarding effectiveness and benefits of the proposed game. It is shown that the participants could improve their scores from the pre-test of 44% to the post-test of 89%, regarding the understanding of photography knowledge. Also, the questionnaires’ results show that our game could help the participants to gain the knowledge.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127480086","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293943
Josh Angelo Escalona, Benjamin Manalo, Wilbert Jethro R. Limjoco, Carl C. Dizon
Ride sharing is one of the several transportation alternatives used to ease and skip traffic problems worldwide. A platform of interest is GrabShare, where its ride sharing algorithm was empirically found to be simple. However, the algorithm has several limitations, such as it being not truly optimal due to catering to user experiences, and only able to handle up to two bookings. Hence, there is a need to develop a ride sharing system that is scalable, fast, and efficient especially in terms of finding matches and recommending routes. A Modified Search-based Ride Sharing algorithm, which uses an expansion-based method, was developed as a response to these requirements. Results showed that the Modified Search-based Ride Sharing algorithm generally outperforms the empirically-derived GrabShare algorithm in terms of route length, shared route percentage, and processing time. However, GrabShare performs better when there are few passengers in the area while the Modified Search-based Ride Sharing algorithm runs relatively slower when the sources and destinations are far from each other.
{"title":"A Ride Sharing System based on An Expansive Search-Based Algorithm","authors":"Josh Angelo Escalona, Benjamin Manalo, Wilbert Jethro R. Limjoco, Carl C. Dizon","doi":"10.1109/TENCON50793.2020.9293943","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293943","url":null,"abstract":"Ride sharing is one of the several transportation alternatives used to ease and skip traffic problems worldwide. A platform of interest is GrabShare, where its ride sharing algorithm was empirically found to be simple. However, the algorithm has several limitations, such as it being not truly optimal due to catering to user experiences, and only able to handle up to two bookings. Hence, there is a need to develop a ride sharing system that is scalable, fast, and efficient especially in terms of finding matches and recommending routes. A Modified Search-based Ride Sharing algorithm, which uses an expansion-based method, was developed as a response to these requirements. Results showed that the Modified Search-based Ride Sharing algorithm generally outperforms the empirically-derived GrabShare algorithm in terms of route length, shared route percentage, and processing time. However, GrabShare performs better when there are few passengers in the area while the Modified Search-based Ride Sharing algorithm runs relatively slower when the sources and destinations are far from each other.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133625264","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293916
Ronnie S. Concepcion, Sandy C. Lauguico, Rogelio Ruzcko Tobias, E. Dadios, A. Bandala, E. Sybingco
Lightness signal and color reflectance constitute the reflected luminance spectra from camera captured image to camera lenses. The intensity of lightness and visible RGB signals deviates as the camera distance to object varies. The presence of uneven distribution of photosynthetic light causes angular light effect of shadowing on the focal object and light emitting objects placed on the visually noisy background added a challenge in materializing an efficient greenness index for crop phenotyping. The proposed method in this study compensates excessive relative brightness on the image by introducing lightness rectification coefficient and employing genetic algorithm to derive a novel visible tetrahedron greenness index (gvTeGI) based on normalized green waveband. Hybrid neighborhood component analysis and Pearson’s correlation coefficient approach for feature selection resulted to retaining photosynthetic canopy area, and correlation and homogeneity texture features as highly important descriptors for biophysical signatures considered in this study which are lettuce fresh weight, height and number of spanning leaves. The selection, crossover and mutation rates used to optimize the genetic algorithm model are 0.2, 0.8 and 0.01 respectively. Indoor and outdoor aquaponic system was deployed for 6-week full crop life cycle cultivation. Regression machine learning models were used to estimate biophysical signatures from extracted gvTeGI channels. Optimized Gaussian processing regression model bested regression support vector machine and regression tree in estimating fresh weight, height and number of spanning leaves with R2 values of 0.7939, 0.7662 and 0.7446. The proposed gvTeGI proved to be more accurate than previously published greenness index for the estimation of biophysical signatures of lettuce using consumer-grade RGB camera.
{"title":"Genetic Algorithm-Based Visible Band Tetrahedron Greenness Index Modeling for Lettuce Biophysical Signature Estimation","authors":"Ronnie S. Concepcion, Sandy C. Lauguico, Rogelio Ruzcko Tobias, E. Dadios, A. Bandala, E. Sybingco","doi":"10.1109/TENCON50793.2020.9293916","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293916","url":null,"abstract":"Lightness signal and color reflectance constitute the reflected luminance spectra from camera captured image to camera lenses. The intensity of lightness and visible RGB signals deviates as the camera distance to object varies. The presence of uneven distribution of photosynthetic light causes angular light effect of shadowing on the focal object and light emitting objects placed on the visually noisy background added a challenge in materializing an efficient greenness index for crop phenotyping. The proposed method in this study compensates excessive relative brightness on the image by introducing lightness rectification coefficient and employing genetic algorithm to derive a novel visible tetrahedron greenness index (gvTeGI) based on normalized green waveband. Hybrid neighborhood component analysis and Pearson’s correlation coefficient approach for feature selection resulted to retaining photosynthetic canopy area, and correlation and homogeneity texture features as highly important descriptors for biophysical signatures considered in this study which are lettuce fresh weight, height and number of spanning leaves. The selection, crossover and mutation rates used to optimize the genetic algorithm model are 0.2, 0.8 and 0.01 respectively. Indoor and outdoor aquaponic system was deployed for 6-week full crop life cycle cultivation. Regression machine learning models were used to estimate biophysical signatures from extracted gvTeGI channels. Optimized Gaussian processing regression model bested regression support vector machine and regression tree in estimating fresh weight, height and number of spanning leaves with R2 values of 0.7939, 0.7662 and 0.7446. The proposed gvTeGI proved to be more accurate than previously published greenness index for the estimation of biophysical signatures of lettuce using consumer-grade RGB camera.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122236032","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293804
Marife A. Rosales, Maria Gemel B. Palconit, A. Bandala, R. R. Vicerra, E. Dadios, Hilario A. Calinao
The study aims to design an intelligent total body water measuring device which will help to determine the total body water level or percentage of an individual using ultrasonic sensor, load cell and bioelectric impedance analysis (BIA). The system utilized the Scaled Conjugate Gradient Artificial Neural Network (ANN) as the machine learning algorithm. The system used the dataset splitting of 70%-15%15% for training, validation and testing. Different hidden neurons were used and compared during neural network training and found out that using 10 neurons will provide the lowest mean square error (MSE) with best value of Pearson’s correlation (R). Based on the results, using 10 neurons, Scaled Conjugate Gradient algorithm has better performance as compared to Levenberg-Marquardt algorithm with MSE equal to 0.180033, 0.118954, 0.529157 while the R value is equal to 0.997887, 0.997488, 0.99644 for training, validation and testing.
{"title":"Prediction of Total Body Water using Scaled Conjugate Gradient Artificial Neural Network","authors":"Marife A. Rosales, Maria Gemel B. Palconit, A. Bandala, R. R. Vicerra, E. Dadios, Hilario A. Calinao","doi":"10.1109/TENCON50793.2020.9293804","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293804","url":null,"abstract":"The study aims to design an intelligent total body water measuring device which will help to determine the total body water level or percentage of an individual using ultrasonic sensor, load cell and bioelectric impedance analysis (BIA). The system utilized the Scaled Conjugate Gradient Artificial Neural Network (ANN) as the machine learning algorithm. The system used the dataset splitting of 70%-15%15% for training, validation and testing. Different hidden neurons were used and compared during neural network training and found out that using 10 neurons will provide the lowest mean square error (MSE) with best value of Pearson’s correlation (R). Based on the results, using 10 neurons, Scaled Conjugate Gradient algorithm has better performance as compared to Levenberg-Marquardt algorithm with MSE equal to 0.180033, 0.118954, 0.529157 while the R value is equal to 0.997887, 0.997488, 0.99644 for training, validation and testing.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131084291","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 : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293736
Nafisa Azad Tultul, Subrin Farha, S. S. Hossain, Md. Akbar Hossain, S. R. Sabuj
The increasing demand for higher data rates pushes the boundaries of the currently used radio spectrum. The terahertz (THz) frequency band (0.1-10 THz) is widely considered by scientific community to address spectrum scarcity. In this paper we developed a theoretical model for device-to-device (D2D) communication operating in THz band. We also derived a close form formula of data rates, outage probability, and energy efficiency. Our simulation results show an improvement of data rates and energy efficiency while decreasing the outage probability of D2D communication in THz. For instance, there is 86% of increase in energy efficiency when the transmission power is 19dBm. Finally, the improvement of energy efficiency is 87% using optimal transmission power due to 50 resource blocks.
{"title":"Device-to-Device Communication in Terahertz Frequency Band: Enhancement of Energy Efficiency","authors":"Nafisa Azad Tultul, Subrin Farha, S. S. Hossain, Md. Akbar Hossain, S. R. Sabuj","doi":"10.1109/TENCON50793.2020.9293736","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293736","url":null,"abstract":"The increasing demand for higher data rates pushes the boundaries of the currently used radio spectrum. The terahertz (THz) frequency band (0.1-10 THz) is widely considered by scientific community to address spectrum scarcity. In this paper we developed a theoretical model for device-to-device (D2D) communication operating in THz band. We also derived a close form formula of data rates, outage probability, and energy efficiency. Our simulation results show an improvement of data rates and energy efficiency while decreasing the outage probability of D2D communication in THz. For instance, there is 86% of increase in energy efficiency when the transmission power is 19dBm. Finally, the improvement of energy efficiency is 87% using optimal transmission power due to 50 resource blocks.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132802598","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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