Pub Date : 2020-11-16DOI: 10.1109/TENCON50793.2020.9293920
Andrew Ilyas, Desi Budiastuti, E. Rahardjo
Wearable antennas made from textile materials for GPS (Global Positioning System) applications has been widely developed. However, textile materials have properties that can absorb water and be bent which will affect the performance of the antenna. Therefore, the testing of GPS antennas made from textile materials with five different substrates has been carried out to determine the effect of textile use on the antenna. Five substrate materials were felt, spun bond, cotton, drill, and denim. All antennas were designed to work on the GPS L1 frequency of 1,575 GHz with a value of S11 < −10 dB, bandwidth > 10 MHz, and axial ratio < 3 dB to achieve circular polarization. The study shows when affected by water absorption, there are 4 antennas that remain successfully work at GPS L1 frequency. When the antenna is tested in bending conditions, there are several antennas that can still work at GPS L1 frequency but are not stable for every bend condition.
{"title":"Effect of Textile Substrate on Antenna Performance for GPS Application","authors":"Andrew Ilyas, Desi Budiastuti, E. Rahardjo","doi":"10.1109/TENCON50793.2020.9293920","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293920","url":null,"abstract":"Wearable antennas made from textile materials for GPS (Global Positioning System) applications has been widely developed. However, textile materials have properties that can absorb water and be bent which will affect the performance of the antenna. Therefore, the testing of GPS antennas made from textile materials with five different substrates has been carried out to determine the effect of textile use on the antenna. Five substrate materials were felt, spun bond, cotton, drill, and denim. All antennas were designed to work on the GPS L1 frequency of 1,575 GHz with a value of S11 < −10 dB, bandwidth > 10 MHz, and axial ratio < 3 dB to achieve circular polarization. The study shows when affected by water absorption, there are 4 antennas that remain successfully work at GPS L1 frequency. When the antenna is tested in bending conditions, there are several antennas that can still work at GPS L1 frequency but are not stable for every bend condition.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"12 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":"123622868","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/TENCON50793.2020.9293922
Akira Kusaba, T. Hashimoto, Kilho Shin, D. Shepard, T. Kuboyama
This paper presents FITS, or Feature-value / Instance Transposition Selection, a method for unsupervised clustering. FITS is a tractable, explicable clustering method, which leverages the unsupervised feature value selection algorithm known as UFVS in the literature. FITS combines repeated rounds of UFVS with alternating steps of matrix transposition to produce a set of homogenous clusters that describe data well. By repeatedly swapping the role of feature and instance and applying the same selection process to them, FITS leverages UFVS’s speed and can perform clustering in our experiments in tens milliseconds for datasets of thousands of features and thousands of instances.We performed feature selection-based clustering on two real-world data sets. One is aimed at topic extraction from Twitter data, and the other is aimed at gaining awareness of energy conservation from time-series power consumption data. This study also proposes a novel method based on iterative feature extraction and transposition. The effectiveness of this method is shown in an application of Twitter data analysis. On the other hand, a more straightforward use of feature selection is adopted in the application of time series power consumption data analysis.
{"title":"Unsupervised Clustering based on Feature-value / Instance Transposition Selection","authors":"Akira Kusaba, T. Hashimoto, Kilho Shin, D. Shepard, T. Kuboyama","doi":"10.1109/TENCON50793.2020.9293922","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293922","url":null,"abstract":"This paper presents FITS, or Feature-value / Instance Transposition Selection, a method for unsupervised clustering. FITS is a tractable, explicable clustering method, which leverages the unsupervised feature value selection algorithm known as UFVS in the literature. FITS combines repeated rounds of UFVS with alternating steps of matrix transposition to produce a set of homogenous clusters that describe data well. By repeatedly swapping the role of feature and instance and applying the same selection process to them, FITS leverages UFVS’s speed and can perform clustering in our experiments in tens milliseconds for datasets of thousands of features and thousands of instances.We performed feature selection-based clustering on two real-world data sets. One is aimed at topic extraction from Twitter data, and the other is aimed at gaining awareness of energy conservation from time-series power consumption data. This study also proposes a novel method based on iterative feature extraction and transposition. The effectiveness of this method is shown in an application of Twitter data analysis. On the other hand, a more straightforward use of feature selection is adopted in the application of time series power consumption data analysis.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"59 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":"123686779","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/TENCON50793.2020.9293782
Vaishali Sharma, S. Sharma, V. Bhatia
Terahertz (THz) band communication is considered as a promising technology for 6G wireless technology due to availability of large bandwidth at THz bands. Most receivers for symbol detection need channel state information (CSI), however estimating CSI is complex for THz bands. Hence, in this paper, we design and analyze low complexity THz receiver without considering the CSI for symbol detection. The rate adaptation for THz communication systems is also analysed for the distance attenuation. Since, at THz the performance is sensitive to distance. We consider modified transmitted-reference (MTR) pulsed and optimal lth-order energy detector (OED) based THz communication system. Simulations are carried out to show effectiveness of MTR and OED for pulse-based THz band wireless systems by considering the effect of distance, data rate, and absorption by molecular gases.
{"title":"Design and Analysis of Low-complexity Terahertz Receiver","authors":"Vaishali Sharma, S. Sharma, V. Bhatia","doi":"10.1109/TENCON50793.2020.9293782","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293782","url":null,"abstract":"Terahertz (THz) band communication is considered as a promising technology for 6G wireless technology due to availability of large bandwidth at THz bands. Most receivers for symbol detection need channel state information (CSI), however estimating CSI is complex for THz bands. Hence, in this paper, we design and analyze low complexity THz receiver without considering the CSI for symbol detection. The rate adaptation for THz communication systems is also analysed for the distance attenuation. Since, at THz the performance is sensitive to distance. We consider modified transmitted-reference (MTR) pulsed and optimal lth-order energy detector (OED) based THz communication system. Simulations are carried out to show effectiveness of MTR and OED for pulse-based THz band wireless systems by considering the effect of distance, data rate, and absorption by molecular gases.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"11 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":"122229546","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}
Wake-up stroke refers to a kind of ischemic stroke where a person wakes up with symptoms of stroke that are not present before going to sleep. These symptoms may include muscle weakness, drowsiness, walking difficulties, face drooping among others. Risk factors for ischemic strokes are Diabetes, Hypertension, Obesity, age, tobacco use, etc. From the Statistical Findings, 8-28 percent of all brain ischemic strokes consist of Wake-up strokes. The main method of treating an ischemic stroke is tissue Plasminogen Activator (tPA), the use of which is approved for 3-4.5 hours from the onset time of stroke. As the onset time in wake-up strokes is difficult to determine, the person may not be eligible for tPA treatment. This paper presents the development of a prototype to detect the wake-up stroke using the appropriate sensors to obtain physiological data and Internet of things technology to issue an alert signal to the concerned people of the patient. In India, various factors causes the delay of the patient’s arrival to the hospital. The proposed device helps the people to take the patient to the hospital within time to reduce the risk of permanent disabilities like paralysis and memory loss.
{"title":"Smart Wake-up Stroke Alert System","authors":"Lakshmi Boppana, Bharat Kumar Kuppuru, Krishna Karthik Nerella, Sharmila Kovvada","doi":"10.1109/TENCON50793.2020.9293813","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293813","url":null,"abstract":"Wake-up stroke refers to a kind of ischemic stroke where a person wakes up with symptoms of stroke that are not present before going to sleep. These symptoms may include muscle weakness, drowsiness, walking difficulties, face drooping among others. Risk factors for ischemic strokes are Diabetes, Hypertension, Obesity, age, tobacco use, etc. From the Statistical Findings, 8-28 percent of all brain ischemic strokes consist of Wake-up strokes. The main method of treating an ischemic stroke is tissue Plasminogen Activator (tPA), the use of which is approved for 3-4.5 hours from the onset time of stroke. As the onset time in wake-up strokes is difficult to determine, the person may not be eligible for tPA treatment. This paper presents the development of a prototype to detect the wake-up stroke using the appropriate sensors to obtain physiological data and Internet of things technology to issue an alert signal to the concerned people of the patient. In India, various factors causes the delay of the patient’s arrival to the hospital. The proposed device helps the people to take the patient to the hospital within time to reduce the risk of permanent disabilities like paralysis and memory loss.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"25 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":"131509061","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/TENCON50793.2020.9293930
Phakawat Wangkriangkri, Chanissara Viboonlarp, Attapol T. Rutherford, E. Chuangsuwanich
Automated Essay Scoring (AES) is a task that deals with grading written essays automatically without human intervention. This study compares the performance of three AES models which utilize different text embedding methods, namely Global Vectors for Word Representation (GloVe), Embeddings from Language Models (ELMo), and Bidirectional Encoder Representations from Transformers (BERT). We used two evaluation metrics: Quadratic Weighted Kappa (QWK) and a novel "robustness", which quantifies the models’ ability to detect adversarial essays created by modifying normal essays to cause them to be less coherent. We found that: (1) the BERT-based model achieved the greatest robustness, followed by the GloVe-based and ELMo-based models, respectively, and (2) fine-tuning the embeddings improves QWK but lowers robustness. These findings could be informative on how to choose, and whether to fine-tune, an appropriate model based on how much the AES program places emphasis on proper grading of adversarial essays.
{"title":"A Comparative Study of Pretrained Language Models for Automated Essay Scoring with Adversarial Inputs","authors":"Phakawat Wangkriangkri, Chanissara Viboonlarp, Attapol T. Rutherford, E. Chuangsuwanich","doi":"10.1109/TENCON50793.2020.9293930","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293930","url":null,"abstract":"Automated Essay Scoring (AES) is a task that deals with grading written essays automatically without human intervention. This study compares the performance of three AES models which utilize different text embedding methods, namely Global Vectors for Word Representation (GloVe), Embeddings from Language Models (ELMo), and Bidirectional Encoder Representations from Transformers (BERT). We used two evaluation metrics: Quadratic Weighted Kappa (QWK) and a novel \"robustness\", which quantifies the models’ ability to detect adversarial essays created by modifying normal essays to cause them to be less coherent. We found that: (1) the BERT-based model achieved the greatest robustness, followed by the GloVe-based and ELMo-based models, respectively, and (2) fine-tuning the embeddings improves QWK but lowers robustness. These findings could be informative on how to choose, and whether to fine-tune, an appropriate model based on how much the AES program places emphasis on proper grading of adversarial essays.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"17 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":"131820874","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/TENCON50793.2020.9293751
Md. Mehedi Hasan Shawon, S. Akter, K. Islam, Sabbir Ahmed, Md. Mosaddequr Rahman
Due to climate change effects, the demand for renewable energy is growing immensely around the world. Photovoltaic (PV) panels are widely popular as a vital source of renewable energy all over the world as well as in Bangladesh. However, besides solar irradiance, the panel output is greatly affected by some of the weather parameters like temperature, humidity, wind, etc. Reliable forecasting of PV panel output is essential for capacity planning in advance to efficiently manage the energy distribution. This paper presents a method to forecast the PV panel output energy using a machine learning model, known as the Prophet Model used for a univariate time series forecasting. For this study, the PV panel generated data are collected from an outdoor experimental set-up throughout the full winter season in Bangladesh. Based on the data, forecasting of one-day-ahead PV panel short circuit current is done, and then the estimation of PV panel output energy is made. The results show the proposed forecasting method to be quite encouraging and reliable one while providing a higher coefficient of determination value with an average 0.9772 for one-day-ahead PV panel output energy forecasting.
{"title":"Forecasting PV Panel Output Using Prophet Time Series Machine Learning Model","authors":"Md. Mehedi Hasan Shawon, S. Akter, K. Islam, Sabbir Ahmed, Md. Mosaddequr Rahman","doi":"10.1109/TENCON50793.2020.9293751","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293751","url":null,"abstract":"Due to climate change effects, the demand for renewable energy is growing immensely around the world. Photovoltaic (PV) panels are widely popular as a vital source of renewable energy all over the world as well as in Bangladesh. However, besides solar irradiance, the panel output is greatly affected by some of the weather parameters like temperature, humidity, wind, etc. Reliable forecasting of PV panel output is essential for capacity planning in advance to efficiently manage the energy distribution. This paper presents a method to forecast the PV panel output energy using a machine learning model, known as the Prophet Model used for a univariate time series forecasting. For this study, the PV panel generated data are collected from an outdoor experimental set-up throughout the full winter season in Bangladesh. Based on the data, forecasting of one-day-ahead PV panel short circuit current is done, and then the estimation of PV panel output energy is made. The results show the proposed forecasting method to be quite encouraging and reliable one while providing a higher coefficient of determination value with an average 0.9772 for one-day-ahead PV panel output energy forecasting.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"71 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":"131842371","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/TENCON50793.2020.9293776
E. Gatavi, A. Hellany, J. Rizk, M. Nagrial
A decentralised fault tolerant control is presented in this paper for a class of interconnected system. The bounded control technique is applied to address the interconnection effects and the dynamic changes due to the faults. Multiple local controllers are designed as part of decentralised algorithm to guarantee the system stability during the fault period. In this case, the system can deal with the fault with large magnitude. To illustrate the effectiveness the proposed scheme, the system is tested for the case that multiple fault occurred in different local subsystems.
{"title":"Decentralised Fault Tolerant Model Predictive Control for a Class of Interconnected System","authors":"E. Gatavi, A. Hellany, J. Rizk, M. Nagrial","doi":"10.1109/TENCON50793.2020.9293776","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293776","url":null,"abstract":"A decentralised fault tolerant control is presented in this paper for a class of interconnected system. The bounded control technique is applied to address the interconnection effects and the dynamic changes due to the faults. Multiple local controllers are designed as part of decentralised algorithm to guarantee the system stability during the fault period. In this case, the system can deal with the fault with large magnitude. To illustrate the effectiveness the proposed scheme, the system is tested for the case that multiple fault occurred in different local subsystems.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"5 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":"131760289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With mounted robot arm, the compound trackless automatic guided vehicle (AGV) has strong flexibility and adaptability in industrial environments. However, due to the space constraints of the robot arm, the path planning in complex large scenes is hard to achieve high efficiency, and it is easy for falling into local minimum and stagnation. In this paper, a novel AGV path planning algorithm is proposed on the basis of map preprocessing to improve the planning efficiency and guarantee operating safety. First, by integrating the multiple constraints including the obstacles and robotic position/posture, the preprocessing method of the environmental map is proposed utilizing obstacle expansion and Delaunay triangulation. Then, to achieve better convergence and global optimization capacity, the global path searching is modified by (1) constructing the OpenList with priority queues; (2) exploring the adaptive rules for step size and dynamic weighted heuristic function. Finally, combining linearization and cubic Hermite interpolation method, the planned path is smoothed to enhance the movement stability and energy consumption rate. Simulation analysis and experimental results verify the feasibility, efficiency and superiority of the proposed path planning method.
{"title":"Path Planning of Composite Trackless AGV Considering Map Preprocessing*","authors":"Yaozhong Li, Shuting Wang, Liquan Jiang, Yuanlong Xie, Jie Meng, Hao Wu","doi":"10.1109/TENCON50793.2020.9293900","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293900","url":null,"abstract":"With mounted robot arm, the compound trackless automatic guided vehicle (AGV) has strong flexibility and adaptability in industrial environments. However, due to the space constraints of the robot arm, the path planning in complex large scenes is hard to achieve high efficiency, and it is easy for falling into local minimum and stagnation. In this paper, a novel AGV path planning algorithm is proposed on the basis of map preprocessing to improve the planning efficiency and guarantee operating safety. First, by integrating the multiple constraints including the obstacles and robotic position/posture, the preprocessing method of the environmental map is proposed utilizing obstacle expansion and Delaunay triangulation. Then, to achieve better convergence and global optimization capacity, the global path searching is modified by (1) constructing the OpenList with priority queues; (2) exploring the adaptive rules for step size and dynamic weighted heuristic function. Finally, combining linearization and cubic Hermite interpolation method, the planned path is smoothed to enhance the movement stability and energy consumption rate. Simulation analysis and experimental results verify the feasibility, efficiency and superiority of the proposed path planning method.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"4 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":"127099653","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/TENCON50793.2020.9293856
R. Sandhanakrishnan, Rhea Jain, Suhashine Sukumar, RP Subramanian, S. ArunKarthick, S. P. Kumar
The systematic investigation of the vocal folds’ physical phenomenon and corresponding kymographic vibratory patterns can establish clinically important relationships which are vital in the diagnosis of laryngeal disorders. The routine investigation is often done clinically through the in-vivo examination of human vocal folds using laryngoscopes. Physical modelling of human vocal folds overcomes the accessibility limitations of the laryngoscopes in imaging the medial and coronal parts of the vocal folds in-vivo, thus allowing investigation of mucosal wave propagation for different geometrical configurations of the vocal folds. Here, the modelled vocal folds are fabricated using flexible silicone compounds, which can closely reproduce the vibratory characteristics of human vocal folds. The kymogram, generated by recording the vibration pattern of the vocal folds, is useful in the analysis of its functional characteristics. The systematic investigation involves quantification of the vibratory parameters from the kymogram of the modelled vocal folds and establishing its relationship with the physical phenomenon. From the quantification, the important parameters: amplitude, open quotient, closed quotient, speed quotient and skewness are analysed. The quantified parameters reflect the influence of physical parameters on the vibratory characteristics of the vocal folds.
{"title":"Modelling of Human Vocal Folds and Systematic Investigation of their Vibrations from Kymogram","authors":"R. Sandhanakrishnan, Rhea Jain, Suhashine Sukumar, RP Subramanian, S. ArunKarthick, S. P. Kumar","doi":"10.1109/TENCON50793.2020.9293856","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293856","url":null,"abstract":"The systematic investigation of the vocal folds’ physical phenomenon and corresponding kymographic vibratory patterns can establish clinically important relationships which are vital in the diagnosis of laryngeal disorders. The routine investigation is often done clinically through the in-vivo examination of human vocal folds using laryngoscopes. Physical modelling of human vocal folds overcomes the accessibility limitations of the laryngoscopes in imaging the medial and coronal parts of the vocal folds in-vivo, thus allowing investigation of mucosal wave propagation for different geometrical configurations of the vocal folds. Here, the modelled vocal folds are fabricated using flexible silicone compounds, which can closely reproduce the vibratory characteristics of human vocal folds. The kymogram, generated by recording the vibration pattern of the vocal folds, is useful in the analysis of its functional characteristics. The systematic investigation involves quantification of the vibratory parameters from the kymogram of the modelled vocal folds and establishing its relationship with the physical phenomenon. From the quantification, the important parameters: amplitude, open quotient, closed quotient, speed quotient and skewness are analysed. The quantified parameters reflect the influence of physical parameters on the vibratory characteristics of the vocal folds.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"04 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":"131049668","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/TENCON50793.2020.9293780
J. Haban, J. C. Puno, A. Bandala, R. Billones, E. Dadios, E. Sybingco
Soil nutrients and season have direct impact on the growth and yield of a crop. Deficiency on the nutrient level of the soil may result to plant disease while applying excessive amount of soil fertilizer on the other hand, may also cause negative results to the development of the crop. Nutrients on the soil also changes as the season changes from wet season to dry season. This study aims to develop a fuzzy logic-based program that will provide an appropriate amount of fertilizer to soil. The parameters such as season, nitrogen, phosphorus and potassium level are the inputs used on the fuzzy logic system. The researchers proposed four kinds of fertilizer to use in this paper such as Complete, Urea, Solophos and Muriate of Potash. Combination and amount of these fertilizers will be based on the input parameters and fuzzy rules. These soil fertilizer recommendations can be used for rice in an inbred light soil.
土壤养分和季节对作物的生长和产量有直接影响。土壤养分水平不足可能导致植物病害，而施用过量的土壤肥料也可能对作物的生长产生负面影响。土壤中的养分也随着季节从雨季到旱季的变化而变化。本研究旨在开发一个基于模糊逻辑的程序，为土壤提供适量的肥料。季节、氮、磷、钾等参数作为模糊逻辑系统的输入。研究人员在本文中提出了四种肥料的使用，即Complete, Urea, Solophos和Muriate of Potash。这些肥料的组合和用量将根据输入参数和模糊规则确定。这些土壤肥力建议可用于近交系轻质土壤中的水稻。
{"title":"Soil Fertilizer Recommendation System using Fuzzy Logic","authors":"J. Haban, J. C. Puno, A. Bandala, R. Billones, E. Dadios, E. Sybingco","doi":"10.1109/TENCON50793.2020.9293780","DOIUrl":"https://doi.org/10.1109/TENCON50793.2020.9293780","url":null,"abstract":"Soil nutrients and season have direct impact on the growth and yield of a crop. Deficiency on the nutrient level of the soil may result to plant disease while applying excessive amount of soil fertilizer on the other hand, may also cause negative results to the development of the crop. Nutrients on the soil also changes as the season changes from wet season to dry season. This study aims to develop a fuzzy logic-based program that will provide an appropriate amount of fertilizer to soil. The parameters such as season, nitrogen, phosphorus and potassium level are the inputs used on the fuzzy logic system. The researchers proposed four kinds of fertilizer to use in this paper such as Complete, Urea, Solophos and Muriate of Potash. Combination and amount of these fertilizers will be based on the input parameters and fuzzy rules. These soil fertilizer recommendations can be used for rice in an inbred light soil.","PeriodicalId":283131,"journal":{"name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","volume":"153 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":"134219149","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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