Prices and volumes of financial instruments are often represented as stochastic processes. Inter-relatedness of different financial instrument, i.e. financial networks, are often of strong interest, especially in market analysis. Currently, the financial networks are mainly constructed using the minimum spanning tree method or the maximally filtered graph method. Here we study a set of general coupled stochastic differential equations with correlation coefficients ρij. The thresholded values of ρij can be written as the entries in the adjacent matrix that represents the edges of a financial network. We use a simple generative adversarial network (GAN) method to recover the correlation coefficients. The discriminator of the GAN consists of a single layer artificial neural network. The dropout rate of the discriminator is set to 0.5 and using the sigmoid activation function. The generator of the GAN consists of two layers that have a fully connected perceptrons. The output layer uses an exponential linear unit activation function and the GAN encoder is a two-layer perceptron with ReLU activation function. The loss function used is the cross-entropy loss. The method is able to recover the given hand-crafted networks correctly. We also demonstrated the use of the GAN method to build a correlation network between currencies. The networks built are able to show progressive changes in the relationship between currencies over the years.Prices and volumes of financial instruments are often represented as stochastic processes. Inter-relatedness of different financial instrument, i.e. financial networks, are often of strong interest, especially in market analysis. Currently, the financial networks are mainly constructed using the minimum spanning tree method or the maximally filtered graph method. Here we study a set of general coupled stochastic differential equations with correlation coefficients ρij. The thresholded values of ρij can be written as the entries in the adjacent matrix that represents the edges of a financial network. We use a simple generative adversarial network (GAN) method to recover the correlation coefficients. The discriminator of the GAN consists of a single layer artificial neural network. The dropout rate of the discriminator is set to 0.5 and using the sigmoid activation function. The generator of the GAN consists of two layers that have a fully connected perceptrons. The output layer uses an exponential linear u...
{"title":"Financial network construction of a set of coupled stochastics differential equations using generative adversarial network","authors":"Y. K. Goh, A. Lai","doi":"10.1063/1.5121053","DOIUrl":"https://doi.org/10.1063/1.5121053","url":null,"abstract":"Prices and volumes of financial instruments are often represented as stochastic processes. Inter-relatedness of different financial instrument, i.e. financial networks, are often of strong interest, especially in market analysis. Currently, the financial networks are mainly constructed using the minimum spanning tree method or the maximally filtered graph method. Here we study a set of general coupled stochastic differential equations with correlation coefficients ρij. The thresholded values of ρij can be written as the entries in the adjacent matrix that represents the edges of a financial network. We use a simple generative adversarial network (GAN) method to recover the correlation coefficients. The discriminator of the GAN consists of a single layer artificial neural network. The dropout rate of the discriminator is set to 0.5 and using the sigmoid activation function. The generator of the GAN consists of two layers that have a fully connected perceptrons. The output layer uses an exponential linear unit activation function and the GAN encoder is a two-layer perceptron with ReLU activation function. The loss function used is the cross-entropy loss. The method is able to recover the given hand-crafted networks correctly. We also demonstrated the use of the GAN method to build a correlation network between currencies. The networks built are able to show progressive changes in the relationship between currencies over the years.Prices and volumes of financial instruments are often represented as stochastic processes. Inter-relatedness of different financial instrument, i.e. financial networks, are often of strong interest, especially in market analysis. Currently, the financial networks are mainly constructed using the minimum spanning tree method or the maximally filtered graph method. Here we study a set of general coupled stochastic differential equations with correlation coefficients ρij. The thresholded values of ρij can be written as the entries in the adjacent matrix that represents the edges of a financial network. We use a simple generative adversarial network (GAN) method to recover the correlation coefficients. The discriminator of the GAN consists of a single layer artificial neural network. The dropout rate of the discriminator is set to 0.5 and using the sigmoid activation function. The generator of the GAN consists of two layers that have a fully connected perceptrons. The output layer uses an exponential linear u...","PeriodicalId":325925,"journal":{"name":"THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121222329","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}
Recently, it is noteworthy that the solving of optimization problem has been shifted from heuristic towards hybrid metaheuristics. This paper demonstrates a review in solving assembly line balancing problem by using metaheuristics hybridization. Generally, hybrid metaheuristic is a combination of two or more algorithms. This combination is helpful in improving the weakness of these two algorithms. In this work, we provide a literature review of existing publications for the past years which from year 2002 to 2018. Hereby, this survey can recommend the important gap for future research assembly line balancing problem in applying the hybrid metaheuristics.
{"title":"A review on hybrid metaheuristics in solving assembly line balancing problem","authors":"Fatini Dalili Mohammed, M. Ramli, M. Z. Zakaria","doi":"10.1063/1.5121096","DOIUrl":"https://doi.org/10.1063/1.5121096","url":null,"abstract":"Recently, it is noteworthy that the solving of optimization problem has been shifted from heuristic towards hybrid metaheuristics. This paper demonstrates a review in solving assembly line balancing problem by using metaheuristics hybridization. Generally, hybrid metaheuristic is a combination of two or more algorithms. This combination is helpful in improving the weakness of these two algorithms. In this work, we provide a literature review of existing publications for the past years which from year 2002 to 2018. Hereby, this survey can recommend the important gap for future research assembly line balancing problem in applying the hybrid metaheuristics.","PeriodicalId":325925,"journal":{"name":"THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125294749","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}
Let τ=(−1)1−a+−72 for a e {0,1} is Frobenius map from the set Ea (F2m) to itself for a point (x, y) on Koblitz curves Ea. Let P and Q be two points on this curves. τ-adic non-adjacent form (TNAF) of α an element of the ring Z(τ)={α = c + dτ |c, d ∈ Z} is an expansion where the digits are generated by successively dividing α by τ, allowing remainders of −1, 0 or 1. The implementation of TNAF as the multiplier of scalar multiplication nP = Q is one of the technique in elliptical curve cryptography. In this paper, we find the alternative formulas for TNAF that have specific patterns [c0, 0, …, 0, cl-1], [c0, 0, …, Cl−12, …, 0, cl-1], [0, c1, …, cl-1], [−1, c1, …, cl-1] and [0,0,0,c3, c4, …, cl-1] by applying τm = −2sm-1 + sm τ for sm=∑i=1| m+12 |(−2)i−1tm+1(i−1)!∏j=12i−2(m−j).Let τ=(−1)1−a+−72 for a e {0,1} is Frobenius map from the set Ea (F2m) to itself for a point (x, y) on Koblitz curves Ea. Let P and Q be two points on this curves. τ-adic non-adjacent form (TNAF) of α an element of the ring Z(τ)={α = c + dτ |c, d ∈ Z} is an expansion where the digits are generated by successively dividing α by τ, allowing remainders of −1, 0 or 1. The implementation of TNAF as the multiplier of scalar multiplication nP = Q is one of the technique in elliptical curve cryptography. In this paper, we find the alternative formulas for TNAF that have specific patterns [c0, 0, …, 0, cl-1], [c0, 0, …, Cl−12, …, 0, cl-1], [0, c1, …, cl-1], [−1, c1, …, cl-1] and [0,0,0,c3, c4, …, cl-1] by applying τm = −2sm-1 + sm τ for sm=∑i=1| m+12 |(−2)i−1tm+1(i−1)!∏j=12i−2(m−j).
{"title":"On some specific patterns of τ-adic non-adjacent form expansion over ring Z(τ): An alternative formula","authors":"Nurul Hafizah Hadani, F. Yunos, S. M. Suberi","doi":"10.1063/1.5121054","DOIUrl":"https://doi.org/10.1063/1.5121054","url":null,"abstract":"Let τ=(−1)1−a+−72 for a e {0,1} is Frobenius map from the set Ea (F2m) to itself for a point (x, y) on Koblitz curves Ea. Let P and Q be two points on this curves. τ-adic non-adjacent form (TNAF) of α an element of the ring Z(τ)={α = c + dτ |c, d ∈ Z} is an expansion where the digits are generated by successively dividing α by τ, allowing remainders of −1, 0 or 1. The implementation of TNAF as the multiplier of scalar multiplication nP = Q is one of the technique in elliptical curve cryptography. In this paper, we find the alternative formulas for TNAF that have specific patterns [c0, 0, …, 0, cl-1], [c0, 0, …, Cl−12, …, 0, cl-1], [0, c1, …, cl-1], [−1, c1, …, cl-1] and [0,0,0,c3, c4, …, cl-1] by applying τm = −2sm-1 + sm τ for sm=∑i=1| m+12 |(−2)i−1tm+1(i−1)!∏j=12i−2(m−j).Let τ=(−1)1−a+−72 for a e {0,1} is Frobenius map from the set Ea (F2m) to itself for a point (x, y) on Koblitz curves Ea. Let P and Q be two points on this curves. τ-adic non-adjacent form (TNAF) of α an element of the ring Z(τ)={α = c + dτ |c, d ∈ Z} is an expansion where the digits are generated by successively dividing α by τ, allowing remainders of −1, 0 or 1. The implementation of TNAF as the multiplier of scalar multiplication nP = Q is one of the technique in elliptical curve cryptography. In this paper, we find the alternative formulas for TNAF that have specific patterns [c0, 0, …, 0, cl-1], [c0, 0, …, Cl−12, …, 0, cl-1], [0, c1, …, cl-1], [−1, c1, …, cl-1] and [0,0,0,c3, c4, …, cl-1] by applying τm = −2sm-1 + sm τ for sm=∑i=1| m+12 |(−2)i−1tm+1(i−1)!∏j=12i−2(m−j).","PeriodicalId":325925,"journal":{"name":"THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115081928","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}
Water quality is a crucial requirement of human health, well-being and the environment. However, the rapid development of industrial and urbanisation around the area contribute to water pollution. In this paper, a principal component analysis are implemented to evaluate and interpret water quality dataset obtained from one of the polluted rivers in Malaysia which is the Juru River basin located in Pulau Pinang. Data is gathered bimonthly from 2008 to 2017 for 20 parameters used to evaluate the status of the water quality. As a conclusion, the most important parameter are salinity, conductivity, dissolved solids, calcium, zinc, pH, arsenic and ammonia nitrogen. This study presents the usefulness of principal component analysis in evaluating and interpreting water quality data for the purpose of monitoring water resource management.Water quality is a crucial requirement of human health, well-being and the environment. However, the rapid development of industrial and urbanisation around the area contribute to water pollution. In this paper, a principal component analysis are implemented to evaluate and interpret water quality dataset obtained from one of the polluted rivers in Malaysia which is the Juru River basin located in Pulau Pinang. Data is gathered bimonthly from 2008 to 2017 for 20 parameters used to evaluate the status of the water quality. As a conclusion, the most important parameter are salinity, conductivity, dissolved solids, calcium, zinc, pH, arsenic and ammonia nitrogen. This study presents the usefulness of principal component analysis in evaluating and interpreting water quality data for the purpose of monitoring water resource management.
{"title":"An investigation of Juru River basin water quality using principal component analysis","authors":"B. Abdul-Karim, Shamshuritawati Sharif","doi":"10.1063/1.5121106","DOIUrl":"https://doi.org/10.1063/1.5121106","url":null,"abstract":"Water quality is a crucial requirement of human health, well-being and the environment. However, the rapid development of industrial and urbanisation around the area contribute to water pollution. In this paper, a principal component analysis are implemented to evaluate and interpret water quality dataset obtained from one of the polluted rivers in Malaysia which is the Juru River basin located in Pulau Pinang. Data is gathered bimonthly from 2008 to 2017 for 20 parameters used to evaluate the status of the water quality. As a conclusion, the most important parameter are salinity, conductivity, dissolved solids, calcium, zinc, pH, arsenic and ammonia nitrogen. This study presents the usefulness of principal component analysis in evaluating and interpreting water quality data for the purpose of monitoring water resource management.Water quality is a crucial requirement of human health, well-being and the environment. However, the rapid development of industrial and urbanisation around the area contribute to water pollution. In this paper, a principal component analysis are implemented to evaluate and interpret water quality dataset obtained from one of the polluted rivers in Malaysia which is the Juru River basin located in Pulau Pinang. Data is gathered bimonthly from 2008 to 2017 for 20 parameters used to evaluate the status of the water quality. As a conclusion, the most important parameter are salinity, conductivity, dissolved solids, calcium, zinc, pH, arsenic and ammonia nitrogen. This study presents the usefulness of principal component analysis in evaluating and interpreting water quality data for the purpose of monitoring water resource management.","PeriodicalId":325925,"journal":{"name":"THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122114961","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}
Recently, the research on Occupational Stress (OS) has become known across industries. However, the research on OS still lacking in the context of Malaysian Sewerage Operations. Thus, this study put forwards to develop and validate instrument of Occupational Stress (OS) construct through Exploratory Factor Analysis (EFA) which limited to operation workers in East Malaysia. Hence this study has examined Job Demand, Workload, Time Pressure, Work Pressure, and Conflict at Workplace and Family-Work Conflict as the core dimensions to measure OS and also presenting an instrument of OS. This study adopted a cross-sectional research design, while quantitative data was collected from 129 Sewerage Operation workers across twelve states in Malaysia excluding Kelantan, Sabah and Sarawak, using structured survey. Based on the reliability testing, this study finalized the instrument to eighteen (18) items yielding three (3) dimensions, i.e., Job Demand (3 items), Workload (3 items) Time Pressure (3 items), Work Pressure (3 items) and Conflict at Workplace (3 items) and Family-Work Conflict (3 items). In this regard, researchers calculated the value of internal reliability (i.e., Cronbach Alpha value) for the current OS instrument. This study explained in detail the procedures for carrying out EFA analysis for OS construct. The findings from this study could benefited to the applied researchers whose interested to the occupational stress research.Recently, the research on Occupational Stress (OS) has become known across industries. However, the research on OS still lacking in the context of Malaysian Sewerage Operations. Thus, this study put forwards to develop and validate instrument of Occupational Stress (OS) construct through Exploratory Factor Analysis (EFA) which limited to operation workers in East Malaysia. Hence this study has examined Job Demand, Workload, Time Pressure, Work Pressure, and Conflict at Workplace and Family-Work Conflict as the core dimensions to measure OS and also presenting an instrument of OS. This study adopted a cross-sectional research design, while quantitative data was collected from 129 Sewerage Operation workers across twelve states in Malaysia excluding Kelantan, Sabah and Sarawak, using structured survey. Based on the reliability testing, this study finalized the instrument to eighteen (18) items yielding three (3) dimensions, i.e., Job Demand (3 items), Workload (3 items) Time Pressure (3 items), Work Pressur...
{"title":"Exploratory factor analysis on occupational stress in context of Malaysian sewerage operations","authors":"Ayu Suriawaty Bahkia, Zainudin Awang, Asyraf Afthanorhan, P. Ghazali, Hazimi Foziah","doi":"10.1063/1.5121111","DOIUrl":"https://doi.org/10.1063/1.5121111","url":null,"abstract":"Recently, the research on Occupational Stress (OS) has become known across industries. However, the research on OS still lacking in the context of Malaysian Sewerage Operations. Thus, this study put forwards to develop and validate instrument of Occupational Stress (OS) construct through Exploratory Factor Analysis (EFA) which limited to operation workers in East Malaysia. Hence this study has examined Job Demand, Workload, Time Pressure, Work Pressure, and Conflict at Workplace and Family-Work Conflict as the core dimensions to measure OS and also presenting an instrument of OS. This study adopted a cross-sectional research design, while quantitative data was collected from 129 Sewerage Operation workers across twelve states in Malaysia excluding Kelantan, Sabah and Sarawak, using structured survey. Based on the reliability testing, this study finalized the instrument to eighteen (18) items yielding three (3) dimensions, i.e., Job Demand (3 items), Workload (3 items) Time Pressure (3 items), Work Pressure (3 items) and Conflict at Workplace (3 items) and Family-Work Conflict (3 items). In this regard, researchers calculated the value of internal reliability (i.e., Cronbach Alpha value) for the current OS instrument. This study explained in detail the procedures for carrying out EFA analysis for OS construct. The findings from this study could benefited to the applied researchers whose interested to the occupational stress research.Recently, the research on Occupational Stress (OS) has become known across industries. However, the research on OS still lacking in the context of Malaysian Sewerage Operations. Thus, this study put forwards to develop and validate instrument of Occupational Stress (OS) construct through Exploratory Factor Analysis (EFA) which limited to operation workers in East Malaysia. Hence this study has examined Job Demand, Workload, Time Pressure, Work Pressure, and Conflict at Workplace and Family-Work Conflict as the core dimensions to measure OS and also presenting an instrument of OS. This study adopted a cross-sectional research design, while quantitative data was collected from 129 Sewerage Operation workers across twelve states in Malaysia excluding Kelantan, Sabah and Sarawak, using structured survey. Based on the reliability testing, this study finalized the instrument to eighteen (18) items yielding three (3) dimensions, i.e., Job Demand (3 items), Workload (3 items) Time Pressure (3 items), Work Pressur...","PeriodicalId":325925,"journal":{"name":"THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115131909","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}
Error magnitude is a measurement commonly used in forecast evaluation. However, the purpose of forecasting air quality is to maintain the air quality within assigned guidelines. Thus, the index measurement is important to be considered. But, the problem arises when the index is used to gauge the values of different offices and these measurements are found to be degenerate in commonly occurring situations. Therefore, this study aims to overcome both of the limitations. The daily air pollutant index (API) data from year 2005 to 2011 was used to compare the forecast performance between Box-Jenkins methods, artificial neural networks (ANN) and hybrid method. The forecast accuracy measurements used include mean absolute percentage error (MAPE), root mean squared error (RMSE), mean absolute deviation (MAD), true predicted rate (TPR), false positive rate (FPR), false alarm rate (FAR) and successful index (SI) including the proposed index measurement, combination index (CI). It is found that the index measurement enhance the ability to measure the air quality forecast performance in choosing the best forecast method with CI significantly overcome the limitation of existing index measurement. Thus, this study suggests to use the appropriate measurement in accordance to the purpose of forecasting.Error magnitude is a measurement commonly used in forecast evaluation. However, the purpose of forecasting air quality is to maintain the air quality within assigned guidelines. Thus, the index measurement is important to be considered. But, the problem arises when the index is used to gauge the values of different offices and these measurements are found to be degenerate in commonly occurring situations. Therefore, this study aims to overcome both of the limitations. The daily air pollutant index (API) data from year 2005 to 2011 was used to compare the forecast performance between Box-Jenkins methods, artificial neural networks (ANN) and hybrid method. The forecast accuracy measurements used include mean absolute percentage error (MAPE), root mean squared error (RMSE), mean absolute deviation (MAD), true predicted rate (TPR), false positive rate (FPR), false alarm rate (FAR) and successful index (SI) including the proposed index measurement, combination index (CI). It is found that the index measurement...
{"title":"A combination index measurement in forecasting daily air pollutant index","authors":"N. H. A. Rahman, Muhammad Hisyam Lee","doi":"10.1063/1.5121130","DOIUrl":"https://doi.org/10.1063/1.5121130","url":null,"abstract":"Error magnitude is a measurement commonly used in forecast evaluation. However, the purpose of forecasting air quality is to maintain the air quality within assigned guidelines. Thus, the index measurement is important to be considered. But, the problem arises when the index is used to gauge the values of different offices and these measurements are found to be degenerate in commonly occurring situations. Therefore, this study aims to overcome both of the limitations. The daily air pollutant index (API) data from year 2005 to 2011 was used to compare the forecast performance between Box-Jenkins methods, artificial neural networks (ANN) and hybrid method. The forecast accuracy measurements used include mean absolute percentage error (MAPE), root mean squared error (RMSE), mean absolute deviation (MAD), true predicted rate (TPR), false positive rate (FPR), false alarm rate (FAR) and successful index (SI) including the proposed index measurement, combination index (CI). It is found that the index measurement enhance the ability to measure the air quality forecast performance in choosing the best forecast method with CI significantly overcome the limitation of existing index measurement. Thus, this study suggests to use the appropriate measurement in accordance to the purpose of forecasting.Error magnitude is a measurement commonly used in forecast evaluation. However, the purpose of forecasting air quality is to maintain the air quality within assigned guidelines. Thus, the index measurement is important to be considered. But, the problem arises when the index is used to gauge the values of different offices and these measurements are found to be degenerate in commonly occurring situations. Therefore, this study aims to overcome both of the limitations. The daily air pollutant index (API) data from year 2005 to 2011 was used to compare the forecast performance between Box-Jenkins methods, artificial neural networks (ANN) and hybrid method. The forecast accuracy measurements used include mean absolute percentage error (MAPE), root mean squared error (RMSE), mean absolute deviation (MAD), true predicted rate (TPR), false positive rate (FPR), false alarm rate (FAR) and successful index (SI) including the proposed index measurement, combination index (CI). It is found that the index measurement...","PeriodicalId":325925,"journal":{"name":"THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116432265","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}
N. Helmee, Y. Yacob, Z. Husin, M. F. Mavi, Tan Wei Keong
Recent standard ripeness classification for mango is via manual inspection by human naked eyes. However, the manual mango ripeness classification in agricultural setting has several drawbacks which need labor intensive, inconsistent, prone to error and it is also a time consuming process. Based on an extensive literature search, study to extract data patterns from mango images has never been conducted. Data pattern extraction or generally known as discretization, is one of data pre-processing method that stimulates classification. This paper presents the work on discretization that promotes classification process of mango (Mangifera Indica L.) dataset. Comparison between existing swarm-based discretization algorithms on mango dataset is studied throughout this paper in order to avoid inefficient manual effort and provide an improvement for future research in agricultural industry. The swarm-based discretization algorithm implemented on extracted features from mango images has reduced both discretization time and error rate concurrently. Hence, it generates good generalization of the data pattern to the extracted mango features. As a consequence, determining discretized data patterns from the extracted mango images may improve the entire classification process in terms of accuracy and learning time.Recent standard ripeness classification for mango is via manual inspection by human naked eyes. However, the manual mango ripeness classification in agricultural setting has several drawbacks which need labor intensive, inconsistent, prone to error and it is also a time consuming process. Based on an extensive literature search, study to extract data patterns from mango images has never been conducted. Data pattern extraction or generally known as discretization, is one of data pre-processing method that stimulates classification. This paper presents the work on discretization that promotes classification process of mango (Mangifera Indica L.) dataset. Comparison between existing swarm-based discretization algorithms on mango dataset is studied throughout this paper in order to avoid inefficient manual effort and provide an improvement for future research in agricultural industry. The swarm-based discretization algorithm implemented on extracted features from mango images has reduced both discretization t...
{"title":"Discretized data pattern for mango ripeness classification using swarm-based discretization algorithm","authors":"N. Helmee, Y. Yacob, Z. Husin, M. F. Mavi, Tan Wei Keong","doi":"10.1063/1.5121055","DOIUrl":"https://doi.org/10.1063/1.5121055","url":null,"abstract":"Recent standard ripeness classification for mango is via manual inspection by human naked eyes. However, the manual mango ripeness classification in agricultural setting has several drawbacks which need labor intensive, inconsistent, prone to error and it is also a time consuming process. Based on an extensive literature search, study to extract data patterns from mango images has never been conducted. Data pattern extraction or generally known as discretization, is one of data pre-processing method that stimulates classification. This paper presents the work on discretization that promotes classification process of mango (Mangifera Indica L.) dataset. Comparison between existing swarm-based discretization algorithms on mango dataset is studied throughout this paper in order to avoid inefficient manual effort and provide an improvement for future research in agricultural industry. The swarm-based discretization algorithm implemented on extracted features from mango images has reduced both discretization time and error rate concurrently. Hence, it generates good generalization of the data pattern to the extracted mango features. As a consequence, determining discretized data patterns from the extracted mango images may improve the entire classification process in terms of accuracy and learning time.Recent standard ripeness classification for mango is via manual inspection by human naked eyes. However, the manual mango ripeness classification in agricultural setting has several drawbacks which need labor intensive, inconsistent, prone to error and it is also a time consuming process. Based on an extensive literature search, study to extract data patterns from mango images has never been conducted. Data pattern extraction or generally known as discretization, is one of data pre-processing method that stimulates classification. This paper presents the work on discretization that promotes classification process of mango (Mangifera Indica L.) dataset. Comparison between existing swarm-based discretization algorithms on mango dataset is studied throughout this paper in order to avoid inefficient manual effort and provide an improvement for future research in agricultural industry. The swarm-based discretization algorithm implemented on extracted features from mango images has reduced both discretization t...","PeriodicalId":325925,"journal":{"name":"THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124626291","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}
Amanina Setapa, S. Mahali, U. M. Roslan, Nurshazamuzakkir Ibrahim
Study on drug release from a moving boundary device has been quite popular among the researchers these days. Some research has been done pertaining to drug release in the small intestine. In this paper, we would like to develop a mathematical model for controlled drug release from a swelling hydrogel in the small intestine. For this project, we are considering drug release from a swelling hydrogel and a parameter of drug absorption in the small intestine. We start by solving the analytical solution for drug release from a swelling hydrogel. We derive the advection-diffusion equation to describe the drug transport. Landau transformation is applied onto the model to remove the convective term and the model is solved using the separation of variables method. We obtained a model of mass of drug release from a swelling hydrogel and the model is combined into a one-compartmental model of mass of drug in the small intestine. The model of mass of drugs in the small intestine is solved numerically using the forward finite difference method. The graph to simulate mass of drugs in the small intestine is presented in this paper.Study on drug release from a moving boundary device has been quite popular among the researchers these days. Some research has been done pertaining to drug release in the small intestine. In this paper, we would like to develop a mathematical model for controlled drug release from a swelling hydrogel in the small intestine. For this project, we are considering drug release from a swelling hydrogel and a parameter of drug absorption in the small intestine. We start by solving the analytical solution for drug release from a swelling hydrogel. We derive the advection-diffusion equation to describe the drug transport. Landau transformation is applied onto the model to remove the convective term and the model is solved using the separation of variables method. We obtained a model of mass of drug release from a swelling hydrogel and the model is combined into a one-compartmental model of mass of drug in the small intestine. The model of mass of drugs in the small intestine is solved numerically using the forwar...
{"title":"Mathematical solution for controlled drug release from a swelling hydrogel to the small intestine","authors":"Amanina Setapa, S. Mahali, U. M. Roslan, Nurshazamuzakkir Ibrahim","doi":"10.1063/1.5121074","DOIUrl":"https://doi.org/10.1063/1.5121074","url":null,"abstract":"Study on drug release from a moving boundary device has been quite popular among the researchers these days. Some research has been done pertaining to drug release in the small intestine. In this paper, we would like to develop a mathematical model for controlled drug release from a swelling hydrogel in the small intestine. For this project, we are considering drug release from a swelling hydrogel and a parameter of drug absorption in the small intestine. We start by solving the analytical solution for drug release from a swelling hydrogel. We derive the advection-diffusion equation to describe the drug transport. Landau transformation is applied onto the model to remove the convective term and the model is solved using the separation of variables method. We obtained a model of mass of drug release from a swelling hydrogel and the model is combined into a one-compartmental model of mass of drug in the small intestine. The model of mass of drugs in the small intestine is solved numerically using the forward finite difference method. The graph to simulate mass of drugs in the small intestine is presented in this paper.Study on drug release from a moving boundary device has been quite popular among the researchers these days. Some research has been done pertaining to drug release in the small intestine. In this paper, we would like to develop a mathematical model for controlled drug release from a swelling hydrogel in the small intestine. For this project, we are considering drug release from a swelling hydrogel and a parameter of drug absorption in the small intestine. We start by solving the analytical solution for drug release from a swelling hydrogel. We derive the advection-diffusion equation to describe the drug transport. Landau transformation is applied onto the model to remove the convective term and the model is solved using the separation of variables method. We obtained a model of mass of drug release from a swelling hydrogel and the model is combined into a one-compartmental model of mass of drug in the small intestine. The model of mass of drugs in the small intestine is solved numerically using the forwar...","PeriodicalId":325925,"journal":{"name":"THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129622582","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}
Student loyalty is referred as student willingness to provide positive appraise about their institution and give good recommendation to other people such as friends, family, employers, and organizations. It is an important issue for university authorities in working on long-term strategic planning. In order to ensure student loyalty towards university, their planning should include strategies on providing the best services despites budget constraints, student accommodation placement, competition with other universities and lack of student enrolment. Previous studies have revealed that student loyalty is affected by various factors namely student satisfaction, student trust, service quality and university image. Typically, these factors are inter-correlated with each other. Hence, statistical method such as multiple linear regression which frequently used method in this type of study is inappropriate since it is very susceptible to inter-correlation between variables. The Partial Least Square (PLS) modelling is more suitable for constructing predictive model in the situation. The results indicate that students’ choices on university may highly depends on the services provided by university and the university image. It also shows that the most important service quality that students emphasizes is on instructor quality and social environment. Since university image also one of the significant factors that influences student loyalty, it is crucial for university to retain a good reputation in the public by providing good value of money.Student loyalty is referred as student willingness to provide positive appraise about their institution and give good recommendation to other people such as friends, family, employers, and organizations. It is an important issue for university authorities in working on long-term strategic planning. In order to ensure student loyalty towards university, their planning should include strategies on providing the best services despites budget constraints, student accommodation placement, competition with other universities and lack of student enrolment. Previous studies have revealed that student loyalty is affected by various factors namely student satisfaction, student trust, service quality and university image. Typically, these factors are inter-correlated with each other. Hence, statistical method such as multiple linear regression which frequently used method in this type of study is inappropriate since it is very susceptible to inter-correlation between variables. The Partial Least Square (PLS) modelli...
{"title":"A study on factors influencing student loyalty towards higher learning institution","authors":"N. Yusof, Bahtiar Jamili Zaini, Rosnalini Mansor","doi":"10.1063/1.5121037","DOIUrl":"https://doi.org/10.1063/1.5121037","url":null,"abstract":"Student loyalty is referred as student willingness to provide positive appraise about their institution and give good recommendation to other people such as friends, family, employers, and organizations. It is an important issue for university authorities in working on long-term strategic planning. In order to ensure student loyalty towards university, their planning should include strategies on providing the best services despites budget constraints, student accommodation placement, competition with other universities and lack of student enrolment. Previous studies have revealed that student loyalty is affected by various factors namely student satisfaction, student trust, service quality and university image. Typically, these factors are inter-correlated with each other. Hence, statistical method such as multiple linear regression which frequently used method in this type of study is inappropriate since it is very susceptible to inter-correlation between variables. The Partial Least Square (PLS) modelling is more suitable for constructing predictive model in the situation. The results indicate that students’ choices on university may highly depends on the services provided by university and the university image. It also shows that the most important service quality that students emphasizes is on instructor quality and social environment. Since university image also one of the significant factors that influences student loyalty, it is crucial for university to retain a good reputation in the public by providing good value of money.Student loyalty is referred as student willingness to provide positive appraise about their institution and give good recommendation to other people such as friends, family, employers, and organizations. It is an important issue for university authorities in working on long-term strategic planning. In order to ensure student loyalty towards university, their planning should include strategies on providing the best services despites budget constraints, student accommodation placement, competition with other universities and lack of student enrolment. Previous studies have revealed that student loyalty is affected by various factors namely student satisfaction, student trust, service quality and university image. Typically, these factors are inter-correlated with each other. Hence, statistical method such as multiple linear regression which frequently used method in this type of study is inappropriate since it is very susceptible to inter-correlation between variables. The Partial Least Square (PLS) modelli...","PeriodicalId":325925,"journal":{"name":"THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130668213","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}
The increment uses of social networking sites (SNS) such as Facebook, Twitter and WhatsApp have changed the way people communicates with each other especially among students in university. Thus, th...
{"title":"Analysis of social networking sites on academic performance among university students: A PLS-SEM approach","authors":"S. Khairi, Rabia Ghani","doi":"10.1063/1.5121120","DOIUrl":"https://doi.org/10.1063/1.5121120","url":null,"abstract":"The increment uses of social networking sites (SNS) such as Facebook, Twitter and WhatsApp have changed the way people communicates with each other especially among students in university. Thus, th...","PeriodicalId":325925,"journal":{"name":"THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131951578","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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