wan aezwani wan abu bakar (original) (raw)

Papers by wan aezwani wan abu bakar

Journal of Computer Science & Computational Mathematics

2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE), Dec 16, 2022

2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)

1ST INTERNATIONAL POSTGRADUATE CONFERENCE ON OCEAN ENGINEERING TECHNOLOGY AND INFORMATICS 2021 (IPCOETI 2021)

Nowadays, there is a large amount of data growth at all organizational scales. To find useful inf... more Nowadays, there is a large amount of data growth at all organizational scales. To find useful information, the right data mining technique needs to be used. One of the popular techniques is called the equivalence class transformation (Eclat) algorithm which is gaining the benefits of the vertical data format used in the association rule mining technique. However, like horizontal data representation, vertical data still suffering from huge memory consumption. The technique then has been extended by using the Incremental Eclat (i-Eclat) algorithm which is embedded with the incremental approach. Inspired by the dynamic data transactions in a database, a new algorithm has been adopted to optimize the performance of the current algorithm called the Fast Incremental (Fi-Eclat) algorithm. The research proposes an optimization of the performance of the i-Eclat algorithm. It relies on the incremental approach implemented on the database that consists of five (5) benchmark datasets from Frequent Itemset Mining (FIMI). The outcome of the experiment indicates an improvement of 32% in time execution for the proposed algorithm.

1ST INTERNATIONAL POSTGRADUATE CONFERENCE ON OCEAN ENGINEERING TECHNOLOGY AND INFORMATICS 2021 (IPCOETI 2021)

The key challenge of association rule mining is to discover and extract a valuable information fr... more The key challenge of association rule mining is to discover and extract a valuable information from databases. However, mining association rule may require repetitious scanning of large databases that leads to the high memory usage and affects the running time. Rare Equivalence Class Transformation (R-Eclat) algorithm is specifically design for infrequent itemset mining. In response to the promising results of mining in speedy processing time and taking consideration of dynamic transaction of data in a database, a new incremental approach is introduced called Incremental R-Eclat (IR-Eclat). This model adopted via relational database engine management system; My Structured Query Language (MySQL) serves as a database engine for testing benchmark datasets. The experimental results on several benchmark datasets indicate that Incremental R-Eclat outperforms the R-Eclat by reducing its running time to process especially in dynamic database as the data is increasing in volume from time to time.

International Journal of Advanced Computer Science and Applications

The mining of concealed information from databases using Association Rule Mining seems to be prom... more The mining of concealed information from databases using Association Rule Mining seems to be promising. The successful extraction of this information will give a hand to many areas by aiding them in the process of finding solutions, economic projecting, commercialization policies, medical inspections, and numbers of other problems. ARM is the most outstanding method in the mining of remarkable related configurations from any groups of information. The important patterns encountered are categorized as recurrent/frequent and non-recurrent/infrequent. Most of the previous data mining methods concentrated on horizontal data setups. Nevertheless, recent studies have shown that vertical data formats are becoming the main concerns. One example of vertical data format is Rare Equivalence Class Transformation (R-Eclat). Due to its efficacy, R-Eclat algorithms have been commonly applied for the processing of large datasets. The R-Eclat algorithm is actually comprised of four types of variants. However, our work will only focus on the R-Diffset variant and Incremental R-Diffset (IR-Diffset). The performance analysis of the R-Diffset and IR-Diffset algorithms in the mining of sparse and dense data are compared. The processing time for R-Diffset algorithm, especially for sequential processing is very long. Thus, the incremental R-Diffset (IR-Diffset) has been established to solve this problem. While R-Diffset may only process the nonrecurrent itemsets mining process in sequential form, IR-Diffset on the other hand has the capability to execute sequential data that have been fractionated. The advantages of this newly developed IR-Diffset may become a potential candidate in providing a time-efficient data mining process, especially those involving the large sets of data.

Third International Conference on Computer Science and Communication Technology (ICCSCT 2022)

Journal of Hunan University Natural Sciences, Feb 28, 2022

Journal of Mathematical Sciences and Informatics

Wireless estimation bandwidth is used in path selection for a network environment. To access the ... more Wireless estimation bandwidth is used in path selection for a network environment. To access the internet, a typical user shares the same bandwidth that has been provided by the Internet Service Provider (ISP). The scenario worsens when a few of the users access multimedia content on the Internet which requires high bandwidth at the same time. This research could be enhanced in other different network environments, such as wired and mobile phone environments, and represents an analysis of ready bandwidth using a few wireless bandwidth estimation tools, which are WBest, Pathload, IGI MRTG, PRTG and PTR. This paper attempts to design and develop a detection mechanism for wireless estimation bandwidth to estimate an available bandwidththrough several sending of injection traffic packets to the server. In this paper, we measured available bandwidth with WBest. Then we analysed the estimation measurements prior to 2 simulations done on Wireless Mode 11 Mbps 802.11b and Wireless Mode 54 M...

Journal of Hunan University Natural Sciences

The purpose of this research is to develop a battery management system capable of directly readin... more The purpose of this research is to develop a battery management system capable of directly reading internal impedance. Currently, many systems used in major markets are based on lead acid batteries (LABs) because of their effectiveness in powering such major applications as telecommunication systems, rectifiers, uninterruptable power supplies (UPSs), forklifts, and buggy systems. LABs are easily available at a low cost. But they last only two to five years because of factors that erode performance: depth of discharge (DOD), the lack of any mechanism to prevent excessive charging, extreme temperatures, and the charging algorithm. The popular lithium iron phosphate (LiFeP04) battery has a longer life cycle, higher energy density, and a longer shelf life, and it can provide continuous power over longer periods of time. But because it is expensive, in many contexts it is inadvisable to replace LABs with LiFeP04 batteries. As an alternative, this paper introduces a battery monitoring sys...

International Journal of Advanced Computer Science and Applications

Data integration is a popular technique or method today for data converting and sharing within ne... more Data integration is a popular technique or method today for data converting and sharing within new application with different database format and location. The interaction of data from one application system to another application system requires an intermediary software or middleware that allows the data to be transferred or read systematically and easily. The development of dynamic algorithms allows data in various formats, whether structured or unstructured, to be transferred to various types of databases smoothly. A case study was conducted for the Bill of Quantity (BQ) data in the known Excel format generated through CostX software in a single sheet Excel file. It was transferred to a single workbook with multiple sheets with formulation generated automatically. Thus, an algorithm was developed and tested through the development of the J-Selaras System. This algorithm can remove the noisy data or data symbols that are not related in the excel single sheet (CostX) file and automatically transfer to multiple excel sheets with macros formulation quickly. The implementation results indicate a significant contribution where it reduces in execution time of BQ processes and manpower resources used.

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)

International Journal of Recent Technology and Engineering, 2019

Stingless bee is one of the bees that produce expensive honey because stingless bee only produces... more Stingless bee is one of the bees that produce expensive honey because stingless bee only produces less than 1kg honey per year. Due to improper management and security been imposed, stingless beehive is continuously been targeted by thief for its valuable honey production. The bee farmer also is facing difficulty in tracking and monitoring the number of their beehives that are scattered in certain area in their farm. Taking serious consideration on a good quality of honey production, temperature is the major issues to concern. Honey production can be affected by extreme temperature. When the temperature is too high, the stingless bees become irritable or contradictory, when temperature is too low, the stingless bees become motionless. Therefore, the need for continuously tracking and monitoring of the beehive is crucial to conserve the quality honey production. The objective of the research is to analyze the suitable temperature for bee productivity. Next is to design a system that ...

International Journal of Recent Technology and Engineering (IJRTE), 2019

Setiu Wetland (SW) is located in Terengganu, Malaysia where it is enriched with vast variety of n... more Setiu Wetland (SW) is located in Terengganu, Malaysia where it is enriched with vast variety of natural resources. Most SW rural women are doing small medium business with own special skills to help family in their living. They do have skills in utilizing SW resources but lack in proper marketing strategy for their business growth. The paper presents the results of Niche Research Grant Scheme (NRGS) project of UMT for improving the livelihood of Setiu Wetland (SW) rural women entrepreneurship skills through an e-business social innovation model. This project undertakes selected women respondents in giving assistance through the use of social media networking application in marketing of their local products, thus improving their financial stability. The results on income projection in pre and post implementation of the e-business model among SW women shows a significant improvement to their financial growth. It proves that the model has achieved the objective of improving the livelih...

Journal of Mathematical Sciences and Informatics

Dengue remains among the major causes of mortality worldwide. Manyresearch and medical institutio... more Dengue remains among the major causes of mortality worldwide. Manyresearch and medical institutions are still investigating a treatment or vaccineand vector control that would be a key strategy for dengue fever prevention.We introduce Intelligent Mosquito Spray Dispenser system X’MOS-IOT, aninnovative concept that includes IR4.0 for the cloud storage automation as wellas data analytics and exchange across cyber-physical systems and cognitivecomputing. The X’MOS-IOT provides a solution for spray interval automationusing sensor and battery optimizations with direct Wifi module technology. Thedevice is equipped with X’MOS spray mini aerosol repellent, offering effectiveenvironmentally friendly Aedes mosquito control. This all-in-one systemensures a mosquito-free environment in your home. The implementation showsthe X’MOS-IOT system is able to update the level of each X’MOS in X’MOSIOTdevices, reducing the cost of manual human checking for X’Mos refill.

International Journal of Advanced Computer Science and Applications

Covid-19 pandemic has forced the teaching and learning activity into real time and real-world edu... more Covid-19 pandemic has forced the teaching and learning activity into real time and real-world education meetings. The traditional physical and face-to-face meetings are avoided in accordance to reducing the close physical contacts among individuals. Thus, a new paradigm shift towards teaching and learning needs to be highly enforced. Teaching and learning on medical field especially require for real world anatomy against human or living things body. In response to providing the facility for medical teachers and learners, Gross Anatomy Augmented Reality (GAAR) is introduced. GAAR is an android mobile Augmented Reality (AR) learning tool to assist the educators and learners in internalizing 3D human anatomy with more fun and interactivity. The AR methodology is implied to attract the personal impacts and feelings towards operating of close to 'real' organ during anatomy practices. Traditional learning methods are changed with AR technology through small digital device. This application may be able to show the students the actual form of human gross anatomy and assist the teachers or educators' in explaining the sciences behind human body in more interactive and interesting. Furthermore, this application uses a 3-dimensional object, video and interactive info so that students are interested in using this application. The AR for education and learning is vital in bridging the digital divide among all generations through the conversion of static pictures into real-like 3D animation. The implementation results show that, through the real visualization, small to adult learners can imitate the real truth on human organ and how this can motivate them to take care of their bodies that would lead to a healthier living styles as well as easy memorizing of the subject contents.

International Journal of Advanced Technology and Engineering Exploration

Naive Bayes (NB) [12] is a model that assumes that within each class, the measurements are indepe... more Naive Bayes (NB) [12] is a model that assumes that within each class, the measurements are independent. The term 'Bayes' also appears in the names because Re search Article

Journal of Fundamental and Applied Sciences, 2018

Pattern mining is noticed as a key challenge within the field of data mining and knowledge disc... more Pattern mining is noticed as a key challenge within the field of data mining and knowledge discovery. Association rule mining is a fundamental step to discover relationships between data in a transactional database or relational database. In recent years, there has been an increasing demand for infrequent pattern mining. Finding infrequent patterns plays an essential role in mining associations, correlations and many other interesting relationships among data. As infrequent pattern mining has not been well explored, there is still some fundamental theory that needs to be established especially using ECLAT algorithm. In this paper, we have proposed R-ECLAT algorithms for finding infrequent patterns with the purpose of discovering on how these algorithms can be used to obtain infrequent patterns in a large dataset.

international journal of engineering trends and technology, 2020

Aedes aegypti mosquito species are an important vector of many viruses including dengue and Zika.... more Aedes aegypti mosquito species are an important vector of many viruses including dengue and Zika. Preventing or reducing the virus transmission depends entirely on controlling the mosquito vectors. To facilitate a vector control operation, a new image processing tool is developed for counting Aedes eggs so that fecundity estimation can be done automatically replacing the manual counting that requires a lot of efforts and time-consuming. The proposed tool is based on Gabor wavelets to produce a response map that can ease the thresholding process. We test the proposed tool of Aedes eggs counting by comparing with ICount and EggCounter which is freely available on the Internet. The results showed that the proposed method is promising for a reliable estimation of Aedes eggs.

Journal of Computer Science & Computational Mathematics

2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE), Dec 16, 2022

2023 19th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)

1ST INTERNATIONAL POSTGRADUATE CONFERENCE ON OCEAN ENGINEERING TECHNOLOGY AND INFORMATICS 2021 (IPCOETI 2021)

Nowadays, there is a large amount of data growth at all organizational scales. To find useful inf... more Nowadays, there is a large amount of data growth at all organizational scales. To find useful information, the right data mining technique needs to be used. One of the popular techniques is called the equivalence class transformation (Eclat) algorithm which is gaining the benefits of the vertical data format used in the association rule mining technique. However, like horizontal data representation, vertical data still suffering from huge memory consumption. The technique then has been extended by using the Incremental Eclat (i-Eclat) algorithm which is embedded with the incremental approach. Inspired by the dynamic data transactions in a database, a new algorithm has been adopted to optimize the performance of the current algorithm called the Fast Incremental (Fi-Eclat) algorithm. The research proposes an optimization of the performance of the i-Eclat algorithm. It relies on the incremental approach implemented on the database that consists of five (5) benchmark datasets from Frequent Itemset Mining (FIMI). The outcome of the experiment indicates an improvement of 32% in time execution for the proposed algorithm.

1ST INTERNATIONAL POSTGRADUATE CONFERENCE ON OCEAN ENGINEERING TECHNOLOGY AND INFORMATICS 2021 (IPCOETI 2021)

The key challenge of association rule mining is to discover and extract a valuable information fr... more The key challenge of association rule mining is to discover and extract a valuable information from databases. However, mining association rule may require repetitious scanning of large databases that leads to the high memory usage and affects the running time. Rare Equivalence Class Transformation (R-Eclat) algorithm is specifically design for infrequent itemset mining. In response to the promising results of mining in speedy processing time and taking consideration of dynamic transaction of data in a database, a new incremental approach is introduced called Incremental R-Eclat (IR-Eclat). This model adopted via relational database engine management system; My Structured Query Language (MySQL) serves as a database engine for testing benchmark datasets. The experimental results on several benchmark datasets indicate that Incremental R-Eclat outperforms the R-Eclat by reducing its running time to process especially in dynamic database as the data is increasing in volume from time to time.

International Journal of Advanced Computer Science and Applications

The mining of concealed information from databases using Association Rule Mining seems to be prom... more The mining of concealed information from databases using Association Rule Mining seems to be promising. The successful extraction of this information will give a hand to many areas by aiding them in the process of finding solutions, economic projecting, commercialization policies, medical inspections, and numbers of other problems. ARM is the most outstanding method in the mining of remarkable related configurations from any groups of information. The important patterns encountered are categorized as recurrent/frequent and non-recurrent/infrequent. Most of the previous data mining methods concentrated on horizontal data setups. Nevertheless, recent studies have shown that vertical data formats are becoming the main concerns. One example of vertical data format is Rare Equivalence Class Transformation (R-Eclat). Due to its efficacy, R-Eclat algorithms have been commonly applied for the processing of large datasets. The R-Eclat algorithm is actually comprised of four types of variants. However, our work will only focus on the R-Diffset variant and Incremental R-Diffset (IR-Diffset). The performance analysis of the R-Diffset and IR-Diffset algorithms in the mining of sparse and dense data are compared. The processing time for R-Diffset algorithm, especially for sequential processing is very long. Thus, the incremental R-Diffset (IR-Diffset) has been established to solve this problem. While R-Diffset may only process the nonrecurrent itemsets mining process in sequential form, IR-Diffset on the other hand has the capability to execute sequential data that have been fractionated. The advantages of this newly developed IR-Diffset may become a potential candidate in providing a time-efficient data mining process, especially those involving the large sets of data.

Third International Conference on Computer Science and Communication Technology (ICCSCT 2022)

Journal of Hunan University Natural Sciences, Feb 28, 2022

Journal of Mathematical Sciences and Informatics

Wireless estimation bandwidth is used in path selection for a network environment. To access the ... more Wireless estimation bandwidth is used in path selection for a network environment. To access the internet, a typical user shares the same bandwidth that has been provided by the Internet Service Provider (ISP). The scenario worsens when a few of the users access multimedia content on the Internet which requires high bandwidth at the same time. This research could be enhanced in other different network environments, such as wired and mobile phone environments, and represents an analysis of ready bandwidth using a few wireless bandwidth estimation tools, which are WBest, Pathload, IGI MRTG, PRTG and PTR. This paper attempts to design and develop a detection mechanism for wireless estimation bandwidth to estimate an available bandwidththrough several sending of injection traffic packets to the server. In this paper, we measured available bandwidth with WBest. Then we analysed the estimation measurements prior to 2 simulations done on Wireless Mode 11 Mbps 802.11b and Wireless Mode 54 M...

Journal of Hunan University Natural Sciences

The purpose of this research is to develop a battery management system capable of directly readin... more The purpose of this research is to develop a battery management system capable of directly reading internal impedance. Currently, many systems used in major markets are based on lead acid batteries (LABs) because of their effectiveness in powering such major applications as telecommunication systems, rectifiers, uninterruptable power supplies (UPSs), forklifts, and buggy systems. LABs are easily available at a low cost. But they last only two to five years because of factors that erode performance: depth of discharge (DOD), the lack of any mechanism to prevent excessive charging, extreme temperatures, and the charging algorithm. The popular lithium iron phosphate (LiFeP04) battery has a longer life cycle, higher energy density, and a longer shelf life, and it can provide continuous power over longer periods of time. But because it is expensive, in many contexts it is inadvisable to replace LABs with LiFeP04 batteries. As an alternative, this paper introduces a battery monitoring sys...

International Journal of Advanced Computer Science and Applications

Data integration is a popular technique or method today for data converting and sharing within ne... more Data integration is a popular technique or method today for data converting and sharing within new application with different database format and location. The interaction of data from one application system to another application system requires an intermediary software or middleware that allows the data to be transferred or read systematically and easily. The development of dynamic algorithms allows data in various formats, whether structured or unstructured, to be transferred to various types of databases smoothly. A case study was conducted for the Bill of Quantity (BQ) data in the known Excel format generated through CostX software in a single sheet Excel file. It was transferred to a single workbook with multiple sheets with formulation generated automatically. Thus, an algorithm was developed and tested through the development of the J-Selaras System. This algorithm can remove the noisy data or data symbols that are not related in the excel single sheet (CostX) file and automatically transfer to multiple excel sheets with macros formulation quickly. The implementation results indicate a significant contribution where it reduces in execution time of BQ processes and manpower resources used.

2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)

International Journal of Recent Technology and Engineering, 2019

Stingless bee is one of the bees that produce expensive honey because stingless bee only produces... more Stingless bee is one of the bees that produce expensive honey because stingless bee only produces less than 1kg honey per year. Due to improper management and security been imposed, stingless beehive is continuously been targeted by thief for its valuable honey production. The bee farmer also is facing difficulty in tracking and monitoring the number of their beehives that are scattered in certain area in their farm. Taking serious consideration on a good quality of honey production, temperature is the major issues to concern. Honey production can be affected by extreme temperature. When the temperature is too high, the stingless bees become irritable or contradictory, when temperature is too low, the stingless bees become motionless. Therefore, the need for continuously tracking and monitoring of the beehive is crucial to conserve the quality honey production. The objective of the research is to analyze the suitable temperature for bee productivity. Next is to design a system that ...

International Journal of Recent Technology and Engineering (IJRTE), 2019

Setiu Wetland (SW) is located in Terengganu, Malaysia where it is enriched with vast variety of n... more Setiu Wetland (SW) is located in Terengganu, Malaysia where it is enriched with vast variety of natural resources. Most SW rural women are doing small medium business with own special skills to help family in their living. They do have skills in utilizing SW resources but lack in proper marketing strategy for their business growth. The paper presents the results of Niche Research Grant Scheme (NRGS) project of UMT for improving the livelihood of Setiu Wetland (SW) rural women entrepreneurship skills through an e-business social innovation model. This project undertakes selected women respondents in giving assistance through the use of social media networking application in marketing of their local products, thus improving their financial stability. The results on income projection in pre and post implementation of the e-business model among SW women shows a significant improvement to their financial growth. It proves that the model has achieved the objective of improving the livelih...

Journal of Mathematical Sciences and Informatics

Dengue remains among the major causes of mortality worldwide. Manyresearch and medical institutio... more Dengue remains among the major causes of mortality worldwide. Manyresearch and medical institutions are still investigating a treatment or vaccineand vector control that would be a key strategy for dengue fever prevention.We introduce Intelligent Mosquito Spray Dispenser system X’MOS-IOT, aninnovative concept that includes IR4.0 for the cloud storage automation as wellas data analytics and exchange across cyber-physical systems and cognitivecomputing. The X’MOS-IOT provides a solution for spray interval automationusing sensor and battery optimizations with direct Wifi module technology. Thedevice is equipped with X’MOS spray mini aerosol repellent, offering effectiveenvironmentally friendly Aedes mosquito control. This all-in-one systemensures a mosquito-free environment in your home. The implementation showsthe X’MOS-IOT system is able to update the level of each X’MOS in X’MOSIOTdevices, reducing the cost of manual human checking for X’Mos refill.

International Journal of Advanced Computer Science and Applications

Covid-19 pandemic has forced the teaching and learning activity into real time and real-world edu... more Covid-19 pandemic has forced the teaching and learning activity into real time and real-world education meetings. The traditional physical and face-to-face meetings are avoided in accordance to reducing the close physical contacts among individuals. Thus, a new paradigm shift towards teaching and learning needs to be highly enforced. Teaching and learning on medical field especially require for real world anatomy against human or living things body. In response to providing the facility for medical teachers and learners, Gross Anatomy Augmented Reality (GAAR) is introduced. GAAR is an android mobile Augmented Reality (AR) learning tool to assist the educators and learners in internalizing 3D human anatomy with more fun and interactivity. The AR methodology is implied to attract the personal impacts and feelings towards operating of close to 'real' organ during anatomy practices. Traditional learning methods are changed with AR technology through small digital device. This application may be able to show the students the actual form of human gross anatomy and assist the teachers or educators' in explaining the sciences behind human body in more interactive and interesting. Furthermore, this application uses a 3-dimensional object, video and interactive info so that students are interested in using this application. The AR for education and learning is vital in bridging the digital divide among all generations through the conversion of static pictures into real-like 3D animation. The implementation results show that, through the real visualization, small to adult learners can imitate the real truth on human organ and how this can motivate them to take care of their bodies that would lead to a healthier living styles as well as easy memorizing of the subject contents.

International Journal of Advanced Technology and Engineering Exploration

Naive Bayes (NB) [12] is a model that assumes that within each class, the measurements are indepe... more Naive Bayes (NB) [12] is a model that assumes that within each class, the measurements are independent. The term 'Bayes' also appears in the names because Re search Article

Journal of Fundamental and Applied Sciences, 2018

Pattern mining is noticed as a key challenge within the field of data mining and knowledge disc... more Pattern mining is noticed as a key challenge within the field of data mining and knowledge discovery. Association rule mining is a fundamental step to discover relationships between data in a transactional database or relational database. In recent years, there has been an increasing demand for infrequent pattern mining. Finding infrequent patterns plays an essential role in mining associations, correlations and many other interesting relationships among data. As infrequent pattern mining has not been well explored, there is still some fundamental theory that needs to be established especially using ECLAT algorithm. In this paper, we have proposed R-ECLAT algorithms for finding infrequent patterns with the purpose of discovering on how these algorithms can be used to obtain infrequent patterns in a large dataset.

international journal of engineering trends and technology, 2020

Aedes aegypti mosquito species are an important vector of many viruses including dengue and Zika.... more Aedes aegypti mosquito species are an important vector of many viruses including dengue and Zika. Preventing or reducing the virus transmission depends entirely on controlling the mosquito vectors. To facilitate a vector control operation, a new image processing tool is developed for counting Aedes eggs so that fecundity estimation can be done automatically replacing the manual counting that requires a lot of efforts and time-consuming. The proposed tool is based on Gabor wavelets to produce a response map that can ease the thresholding process. We test the proposed tool of Aedes eggs counting by comparing with ICount and EggCounter which is freely available on the Internet. The results showed that the proposed method is promising for a reliable estimation of Aedes eggs.