Mohd Firdaus Mahamad Ali, M. K. Kamarudin, Muhammad Raja Mohammed Firhad Raja Azidin
Soccer is a contact sport, so a soccer shoe's design is important because it affects the kick's accuracy, speed, and ability to avoid foot injuries. A research study with an appropriate experimental design and precise execution is necessary to produce high-quality results. A pilot study can be conducted as an external pilot study apart from the main study or as an internal pilot study integrated into the main study's research plan. This paper will review the research conducted from a pilot project to identify the design factors such as anatomy, anthropometry, biomechanics and physical characteristics for a soccer shoe popular amongst Malaysian soccer players. The objectives of this research are to determine the accuracy of the questionnaire items. The initial sample consisted of 50 Men soccer players from Peninsular Malaysian states are randomly selected from various levels of the game and have at least one year of playing experience. This study used the quantitative method, whereby questionnaires were applied to obtain information from respondents and findings were analyzed using SPSS software version 23.0 to calculate the Cronbach's Alpha reliability index. The validation of the instrument involves a total of two expert panels. A total of 84-item survey is divided into 4 sections, covering the demographic information of the respondents, their professional backgrounds, their opinions on soccer shoes, and their perceptions on shoe design elements. This study has shown that 81 items were appropriate to be utilized to measure the selection of soccer shoes design. Overall, these results indicate that the analysis has statistically proved that the items in this instrument has a high degree of validity and reliability and can be used for study’s actual sample. The high value of the alpha coefficients suggest that the instruments is very reliable and capable of determining the accuracy of the questionnaire items.
{"title":"A Preliminary Study on Factors Influences the Design of Soccer Shoes Among Malaysian Soccer Players","authors":"Mohd Firdaus Mahamad Ali, M. K. Kamarudin, Muhammad Raja Mohammed Firhad Raja Azidin","doi":"10.56532/mjsat.v2i3.74","DOIUrl":"https://doi.org/10.56532/mjsat.v2i3.74","url":null,"abstract":"Soccer is a contact sport, so a soccer shoe's design is important because it affects the kick's accuracy, speed, and ability to avoid foot injuries. A research study with an appropriate experimental design and precise execution is necessary to produce high-quality results. A pilot study can be conducted as an external pilot study apart from the main study or as an internal pilot study integrated into the main study's research plan. This paper will review the research conducted from a pilot project to identify the design factors such as anatomy, anthropometry, biomechanics and physical characteristics for a soccer shoe popular amongst Malaysian soccer players. The objectives of this research are to determine the accuracy of the questionnaire items. The initial sample consisted of 50 Men soccer players from Peninsular Malaysian states are randomly selected from various levels of the game and have at least one year of playing experience. This study used the quantitative method, whereby questionnaires were applied to obtain information from respondents and findings were analyzed using SPSS software version 23.0 to calculate the Cronbach's Alpha reliability index. The validation of the instrument involves a total of two expert panels. A total of 84-item survey is divided into 4 sections, covering the demographic information of the respondents, their professional backgrounds, their opinions on soccer shoes, and their perceptions on shoe design elements. This study has shown that 81 items were appropriate to be utilized to measure the selection of soccer shoes design. Overall, these results indicate that the analysis has statistically proved that the items in this instrument has a high degree of validity and reliability and can be used for study’s actual sample. The high value of the alpha coefficients suggest that the instruments is very reliable and capable of determining the accuracy of the questionnaire items.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126075901","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}
Since the necessity for larger and slimmer structures has arisen in Bangladesh, wind engineering has become increasingly important. The traditional approach of manual high-rise building design is time-consuming and prone to human mistakes. ETABS is a structural program that is currently widely used by structural engineers to handle common problems such as static analysis, wind analysis, and confirming multiple codes using various load combinations. The study's purpose is to compare wind pressure's impacts on eight distinct places in Bangladesh. ETABS 9.6 software with the BNBC provision was used to conduct this research on a 106-foot residential building. The study's major goal is to examine the reactions of stories, narrative displacement, and drift under the influence of wind in eight major distinct areas out of five divisions of Bangladeshi areas. Based on the investigation findings, we attempted to determine their attitude to various wind pressures. Analysis shows that wind pressure in the South-East and South-West is higher than in the North-East and North-West and most of it is found in the South-East.
{"title":"Structural Behavior of an RC Building Frame due to Wind Pressure in Bangladesh","authors":"Md. Abdullah Al Arafat","doi":"10.56532/mjsat.v2i3.67","DOIUrl":"https://doi.org/10.56532/mjsat.v2i3.67","url":null,"abstract":"Since the necessity for larger and slimmer structures has arisen in Bangladesh, wind engineering has become increasingly important. The traditional approach of manual high-rise building design is time-consuming and prone to human mistakes. ETABS is a structural program that is currently widely used by structural engineers to handle common problems such as static analysis, wind analysis, and confirming multiple codes using various load combinations. The study's purpose is to compare wind pressure's impacts on eight distinct places in Bangladesh. ETABS 9.6 software with the BNBC provision was used to conduct this research on a 106-foot residential building. The study's major goal is to examine the reactions of stories, narrative displacement, and drift under the influence of wind in eight major distinct areas out of five divisions of Bangladeshi areas. Based on the investigation findings, we attempted to determine their attitude to various wind pressures. Analysis shows that wind pressure in the South-East and South-West is higher than in the North-East and North-West and most of it is found in the South-East.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134153099","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}
Md. Abdul Al Mohit, Md. Towhiduzzaman, Mst. Rabiba Khatun
A two-dimensional vertically integrated shallow water equation in the Cartesian coordinate model is used to estimate the water level considering the impact of Coriolis force. The shallow water model equation was discretized by a finite difference method (FDM). Consider the forwarding of time and central space as a moderator of this discretization. The model approximates coastal boundaries, small islands, small rivers and complex tributaries by an accurate stair step representation. The model equations are solved by a static semi-implicit finite difference technique where a structured Arakawa C-grid system is used as the condition. A one-way nested scheme technique is used to incorporate complex land-sea interfaces such as small offshore islands and water depths with sufficient accuracy as well as decreasing the computational cost. A stable tidal condition was created by applying M2 tidal forcing with the largest tide along the southern open boundary of the Bay of Bengal. The model uses the Coriolis force as an external force that can affect water buoyancy. The main task is to analyse the effect of Coriolis force on water buoyancy. The described model was applied to simulate sea-surface elevation associated with the severe cyclone in April 1991 that strike on the east coast of Bangladesh. We have found a significant impact of Coriolis force on surge height. However, the model gives an accurate numerical estimate of surge height.
考虑科里奥利力的影响，采用直角坐标系下的二维垂直积分浅水方程来估计水位。采用有限差分法对浅水模型方程进行离散化。考虑时间和中心空间的转发作为这种离散化的调节因子。该模型通过精确的阶梯表示近似沿海边界、小岛、小河和复杂的支流。以结构Arakawa c -网格系统为条件，采用静态半隐式有限差分法求解模型方程。采用一种单向嵌套格式技术，对近海小岛屿和水深等复杂的陆海界面进行融合，具有足够的精度，并降低了计算成本。在孟加拉湾南部开放边界最大的M2潮汐强迫作用下，形成了稳定的潮汐条件。该模型使用科里奥利力作为影响水浮力的外力。主要任务是分析科氏力对水浮力的影响。所描述的模型用于模拟1991年4月袭击孟加拉国东海岸的强气旋的海面高度。我们发现了科里奥利力对浪涌高度的显著影响。然而，该模型给出了浪涌高度的精确数值估计。
{"title":"Effect of Coriolis Force on the Numerical Estimation of Water Level Elevation Due to a Catastrophic Cyclone along the Coast of Bangladesh","authors":"Md. Abdul Al Mohit, Md. Towhiduzzaman, Mst. Rabiba Khatun","doi":"10.56532/mjsat.v2i3.71","DOIUrl":"https://doi.org/10.56532/mjsat.v2i3.71","url":null,"abstract":"A two-dimensional vertically integrated shallow water equation in the Cartesian coordinate model is used to estimate the water level considering the impact of Coriolis force. The shallow water model equation was discretized by a finite difference method (FDM). Consider the forwarding of time and central space as a moderator of this discretization. The model approximates coastal boundaries, small islands, small rivers and complex tributaries by an accurate stair step representation. The model equations are solved by a static semi-implicit finite difference technique where a structured Arakawa C-grid system is used as the condition. A one-way nested scheme technique is used to incorporate complex land-sea interfaces such as small offshore islands and water depths with sufficient accuracy as well as decreasing the computational cost. A stable tidal condition was created by applying M2 tidal forcing with the largest tide along the southern open boundary of the Bay of Bengal. The model uses the Coriolis force as an external force that can affect water buoyancy. The main task is to analyse the effect of Coriolis force on water buoyancy. The described model was applied to simulate sea-surface elevation associated with the severe cyclone in April 1991 that strike on the east coast of Bangladesh. We have found a significant impact of Coriolis force on surge height. However, the model gives an accurate numerical estimate of surge height.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131101022","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}
Rashidul Hasan Nabil, A. Rupai, Mimun Barid, Adnan Sami, M. Hossain
The global reach of online education has increased due to a pandemic or other unique circumstances. As online education got more popular, it became crucial to ensure the quality of evaluation. This study's goal is to find a solution to the issue of monitoring during online exams. We have used behavioural biometrics through students' interaction with an Intelligent Examination Monitoring Tool (IEMT), which was developed, even though many studies concentrate on using video analysis. The test-taking prototype uses mouse, touch, and keyboard interfaces to administer multiple-choice questions with a variety of information and events. Students who used additional sources to answer questions were later discovered during an online interview. We built a prediction model that can determine if a student is answering on his own or using any other sources using the events through input interaction when these students are sorted. The Machine Learning (ML) techniques Decision Tree, Random Forest, K-Nearest Neighbour, and Naive Bayes were used to generate a few models. After evaluating the performance of the models, we find that random forest performs best, with an accuracy of about 91 percent.
{"title":"An Intelligent Examination Monitoring Tool for Online Student Evaluation","authors":"Rashidul Hasan Nabil, A. Rupai, Mimun Barid, Adnan Sami, M. Hossain","doi":"10.56532/mjsat.v2i3.62","DOIUrl":"https://doi.org/10.56532/mjsat.v2i3.62","url":null,"abstract":"The global reach of online education has increased due to a pandemic or other unique circumstances. As online education got more popular, it became crucial to ensure the quality of evaluation. This study's goal is to find a solution to the issue of monitoring during online exams. We have used behavioural biometrics through students' interaction with an Intelligent Examination Monitoring Tool (IEMT), which was developed, even though many studies concentrate on using video analysis. The test-taking prototype uses mouse, touch, and keyboard interfaces to administer multiple-choice questions with a variety of information and events. Students who used additional sources to answer questions were later discovered during an online interview. We built a prediction model that can determine if a student is answering on his own or using any other sources using the events through input interaction when these students are sorted. The Machine Learning (ML) techniques Decision Tree, Random Forest, K-Nearest Neighbour, and Naive Bayes were used to generate a few models. After evaluating the performance of the models, we find that random forest performs best, with an accuracy of about 91 percent.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125509929","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}
Renewable energy is a topic that is frequently researched recently due to the negative environmental changes brought by using non-renewable energy sources such as fossil fuels. The application of the renewable energy is wide including being used to charge a battery using buck converter in general charging system. However, the problems faced by these solar charging systems is the inability to regulate and stabilize the output of the PV module, causing the loss of efficiency of PV module. A mechanism that is used to solve the problem is to develop the algorithm for maximum power point tracking in PV module. Thus, the project aims to improve the performance of battery charging system by using different MPPT algorithms and compared their performance with issues being analyzed, and helped to suggest the best algorithm to maximize the power supply and consumption effectively based on the MATLAB/Simulink results. The MPPT techniques used in the study consist of Constant Voltage (CV), Perturb and Observe (P&O), Incremental Conductance (INC) and also Hill Climbing (HC). The algorithms will be used on buck converter and compared with conventional solar battery chargers that uses PID controller for voltage regulation. The results are obtained from measurements of various parameters and they will be compared with the theoretical value with error calculation to determine the efficiency of the mechanism and also analyzed to determine the causes and effects of the simulation and for comparison. The results show that different algorithms can affect the performance of the system, such as changing transient times, power efficiency, shape of graph and so on. In conclusion, the best algorithm is Incremental Conductance due to its high-power efficiency and stable parameter output for battery charging system, in which further work done can be continued to include more weather data and constructing complex algorithm as well.
{"title":"The Study of MPPT Algorithm for Solar Battery Charging System","authors":"Heh Chee Yang, J. A. Yahaya, A. Ponniran","doi":"10.56532/mjsat.v2i3.56","DOIUrl":"https://doi.org/10.56532/mjsat.v2i3.56","url":null,"abstract":"Renewable energy is a topic that is frequently researched recently due to the negative environmental changes brought by using non-renewable energy sources such as fossil fuels. The application of the renewable energy is wide including being used to charge a battery using buck converter in general charging system. However, the problems faced by these solar charging systems is the inability to regulate and stabilize the output of the PV module, causing the loss of efficiency of PV module. A mechanism that is used to solve the problem is to develop the algorithm for maximum power point tracking in PV module. Thus, the project aims to improve the performance of battery charging system by using different MPPT algorithms and compared their performance with issues being analyzed, and helped to suggest the best algorithm to maximize the power supply and consumption effectively based on the MATLAB/Simulink results. The MPPT techniques used in the study consist of Constant Voltage (CV), Perturb and Observe (P&O), Incremental Conductance (INC) and also Hill Climbing (HC). The algorithms will be used on buck converter and compared with conventional solar battery chargers that uses PID controller for voltage regulation. The results are obtained from measurements of various parameters and they will be compared with the theoretical value with error calculation to determine the efficiency of the mechanism and also analyzed to determine the causes and effects of the simulation and for comparison. The results show that different algorithms can affect the performance of the system, such as changing transient times, power efficiency, shape of graph and so on. In conclusion, the best algorithm is Incremental Conductance due to its high-power efficiency and stable parameter output for battery charging system, in which further work done can be continued to include more weather data and constructing complex algorithm as well.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121774764","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}
T. F. K. Ngoroyemoto, Ashley Ruvimbo Sabao, Knowledge Maganga, Hazel Chibaya
Bulawayo Mining Company (BMC) is estimated to lose millions of dollars in potential profit over a period of its documented life of mine (LOM) which is nine years as at May 2019. The projected loss is attributed to the time value of money emanating from the extension of the Life Of Mine due to mining inefficiencies. These inefficiencies are due to poor management of the water management system that plays a key role in the mining cycle. This project was done to make a quantitative analysis of BMC underground water management system in order to establish the bottlenecks and use this knowledge to optimize an efficient Water Reticulation System (WRS). Erratic water supply has an implication of disrupting the mining cycle as most of the operations rely on water; therefore, the supply of water is of great significance. In an effort to resolve the problem of erratic water supply, experiments were conducted to ascertain the quantity of water demanded in contrast with the supply. New Visual basic computer program (WaterCal) that can calculate the optimum WRS parameters as well as simulating real conditions through extrapolation was developed. Algorithm based on fluid mechanics laws and theorems was integrated in the application thereby simplifying the mine design and planning process. It was strongly recommended that the mine should consider using computer solutions in future designs of Water Reticulation Systems such as the WaterCal Windows Application. The pipe size is supposed to be increased from 50mm to 100mm. The mine should also adopt the use of flow meters and pressure gauges to effectively monitor and control the reticulation system effectively.
{"title":"Optimization of the Water Reticulation System at Bulawayo Mining Company (BMC), Zimbabwe","authors":"T. F. K. Ngoroyemoto, Ashley Ruvimbo Sabao, Knowledge Maganga, Hazel Chibaya","doi":"10.56532/mjsat.v2i3.60","DOIUrl":"https://doi.org/10.56532/mjsat.v2i3.60","url":null,"abstract":"Bulawayo Mining Company (BMC) is estimated to lose millions of dollars in potential profit over a period of its documented life of mine (LOM) which is nine years as at May 2019. The projected loss is attributed to the time value of money emanating from the extension of the Life Of Mine due to mining inefficiencies. These inefficiencies are due to poor management of the water management system that plays a key role in the mining cycle. This project was done to make a quantitative analysis of BMC underground water management system in order to establish the bottlenecks and use this knowledge to optimize an efficient Water Reticulation System (WRS). Erratic water supply has an implication of disrupting the mining cycle as most of the operations rely on water; therefore, the supply of water is of great significance. In an effort to resolve the problem of erratic water supply, experiments were conducted to ascertain the quantity of water demanded in contrast with the supply. New Visual basic computer program (WaterCal) that can calculate the optimum WRS parameters as well as simulating real conditions through extrapolation was developed. Algorithm based on fluid mechanics laws and theorems was integrated in the application thereby simplifying the mine design and planning process. It was strongly recommended that the mine should consider using computer solutions in future designs of Water Reticulation Systems such as the WaterCal Windows Application. The pipe size is supposed to be increased from 50mm to 100mm. The mine should also adopt the use of flow meters and pressure gauges to effectively monitor and control the reticulation system effectively.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"1873 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129953983","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}
U. K. M. Yusof, S. Mashohor, M. Hanafi, S. Noor, Norsafina, Zainal
Histopathology images are an essential resource for defining biological compositions or examining the composition of cells and tissues. The analysis of histopathology images is also crucial in supporting different class of disease including for rare disease like Myeloproliferative Neoplasms (MPN). Despite technological advancement in diagnostic tools to boost procedure in classification of MPN, morphological assessment from histopathology images acquired by bone marrow trephine (BMT) is remained critical to confirm MPN subtypes. However, the outcome of assessment at a present is profoundly challenging due to subjective, poorly reproducible criteria and highly dependent on pathologist where it caused interobserver variability in the interpretation. To address, this study developed a classification of classical MPN namely polycythemia vera (PV), essential thrombocythemia (ET) and primary myelofibrosis (MF) using deep learning approach. Data collection was undergoing several image augmentations processes to increase features variability and expand the dataset. The augmented images were then fed into CNN classifier followed by implementation of cross validation method. Finally, the best classification model was performed 95.3% of accuracy by using Adamax optimizer. High accuracy and best output given by proposed model shows significant potential in the deployment of the classification of MPN and hence facilitates the interpretation and monitoring of samples beyond conventional approaches.
{"title":"Hyperparameter Tuning in Deep Learning Approach for Classification of Classical Myeloproliferative Neoplasm","authors":"U. K. M. Yusof, S. Mashohor, M. Hanafi, S. Noor, Norsafina, Zainal","doi":"10.56532/mjsat.v2i3.64","DOIUrl":"https://doi.org/10.56532/mjsat.v2i3.64","url":null,"abstract":"Histopathology images are an essential resource for defining biological compositions or examining the composition of cells and tissues. The analysis of histopathology images is also crucial in supporting different class of disease including for rare disease like Myeloproliferative Neoplasms (MPN). Despite technological advancement in diagnostic tools to boost procedure in classification of MPN, morphological assessment from histopathology images acquired by bone marrow trephine (BMT) is remained critical to confirm MPN subtypes. However, the outcome of assessment at a present is profoundly challenging due to subjective, poorly reproducible criteria and highly dependent on pathologist where it caused interobserver variability in the interpretation. To address, this study developed a classification of classical MPN namely polycythemia vera (PV), essential thrombocythemia (ET) and primary myelofibrosis (MF) using deep learning approach. Data collection was undergoing several image augmentations processes to increase features variability and expand the dataset. The augmented images were then fed into CNN classifier followed by implementation of cross validation method. Finally, the best classification model was performed 95.3% of accuracy by using Adamax optimizer. High accuracy and best output given by proposed model shows significant potential in the deployment of the classification of MPN and hence facilitates the interpretation and monitoring of samples beyond conventional approaches.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125488254","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}
SARS CoV-2 varieties keep developing, triggering disease outbreaks and delaying or even halting the opening of society and economies. In countries with high vaccination rates, there have been significant decreases in serious illness, hospitalization, and mortality. Nevertheless, vaccine availability is unequal internationally, with coverage varying from 1% to over 70%, primarily dependent on the nation's income. This study focuses on conducting data analytics and prediction model on the impact and intensity of the Covid-19 global vaccination trend compared to Malaysia. The country's vaccination performance is compared and analyzed with G7 countries such as Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States. Moreover, the vaccination rate of Malaysia and several SEA countries have also been compared in this study. This study discusses vital information such as the type of vaccines and vaccination rates. Meanwhile, the prediction model's goal is to predict the country's future vaccination trend.
{"title":"Data Analytics and Prediction Model for Malaysian Covid 19 Vaccination Progress","authors":"Gophinath Krishnan, M. Reyasudin Basir Khan","doi":"10.56532/mjsat.v2i3.61","DOIUrl":"https://doi.org/10.56532/mjsat.v2i3.61","url":null,"abstract":"SARS CoV-2 varieties keep developing, triggering disease outbreaks and delaying or even halting the opening of society and economies. In countries with high vaccination rates, there have been significant decreases in serious illness, hospitalization, and mortality. Nevertheless, vaccine availability is unequal internationally, with coverage varying from 1% to over 70%, primarily dependent on the nation's income. This study focuses on conducting data analytics and prediction model on the impact and intensity of the Covid-19 global vaccination trend compared to Malaysia. The country's vaccination performance is compared and analyzed with G7 countries such as Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States. Moreover, the vaccination rate of Malaysia and several SEA countries have also been compared in this study. This study discusses vital information such as the type of vaccines and vaccination rates. Meanwhile, the prediction model's goal is to predict the country's future vaccination trend.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124461017","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 most prevalent cause of death among women is breast cancer. At an early stage, predicting breast cancer enhances the probability of a successful cure. It requires a breast cancer prediction technology capable of classifying a breast tumor as dangerous malignant or harmless benign. This is especially true in the medical field, where classification methods are often used for finding and investigation to make decisions for the disease. This study examines the performance of six classification algorithms of data mining which are Logistic Regression classifier, Naïve Bayes classifier, Decision Tree, Random Forest Classifier, Support Vector Machine, and K-Nearest Neighbors on the Wisconsin Breast Cancer (original) dataset. The principal purpose is to measure the performance of each algorithm in terms of their accuracy, precision, sensitivity, and specificity. The findings indicate that the accuracy of Support Vector Machine has the greatest rate (97.20 %) and the lowest error rate when determining if a woman has a malignant or benign tumor.
{"title":"Performance Evaluation of Data Mining Classification Algorithms for Predicting Breast Cancer","authors":"Nyme Ahmed, Rifat- Ibn-Alam, Syed Nafiul Shefat","doi":"10.56532/mjsat.v2i3.55","DOIUrl":"https://doi.org/10.56532/mjsat.v2i3.55","url":null,"abstract":"The most prevalent cause of death among women is breast cancer. At an early stage, predicting breast cancer enhances the probability of a successful cure. It requires a breast cancer prediction technology capable of classifying a breast tumor as dangerous malignant or harmless benign. This is especially true in the medical field, where classification methods are often used for finding and investigation to make decisions for the disease. This study examines the performance of six classification algorithms of data mining which are Logistic Regression classifier, Naïve Bayes classifier, Decision Tree, Random Forest Classifier, Support Vector Machine, and K-Nearest Neighbors on the Wisconsin Breast Cancer (original) dataset. The principal purpose is to measure the performance of each algorithm in terms of their accuracy, precision, sensitivity, and specificity. The findings indicate that the accuracy of Support Vector Machine has the greatest rate (97.20 %) and the lowest error rate when determining if a woman has a malignant or benign tumor.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125049611","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 method of huge integrating involves implementing a significant transistor count in an extremely condensed space. Combinatorial logic has shown to be particularly effective in quantum computing as well as other designing applications. In VLSI design, the primary goal is to cut down on power consumption as well as latency. For the purpose of establishing technology and supporting the increased use of electrical machines, it is vital to decrease sub-threshold current flowing for large strains. This research explores the feasibility of implementing a shift register and without the Multi-threshold CMOS (MTCMOS) approach. At the process technology of 0.18 µm, 0.12 µm, and 90 nm, an investigation into the power loss and transmission delay characteristics of a variety of flip-flops is carried out. As technology gets shrunk, the amount of power lost through leakage rises. Using the greatest technique among all run time strategies, namely MTCMOS, helps to limit the amount of power lost due to leakage. The purpose of this article is to give a comparison between various traditional flip-flops and the TSPC flip-flop with regard to power usage, diffusion delays, product of delay-power (PDP), area, and power flow using the findings obtained from the Microwind simulator.
{"title":"Simulation of Low-Power Shift Registers Using the MTCMOS Method with a Wide Selection of Transistors","authors":"Puvanaah Manokaran, A. Zainuddin","doi":"10.56532/mjsat.v2i3.54","DOIUrl":"https://doi.org/10.56532/mjsat.v2i3.54","url":null,"abstract":"The method of huge integrating involves implementing a significant transistor count in an extremely condensed space. Combinatorial logic has shown to be particularly effective in quantum computing as well as other designing applications. In VLSI design, the primary goal is to cut down on power consumption as well as latency. For the purpose of establishing technology and supporting the increased use of electrical machines, it is vital to decrease sub-threshold current flowing for large strains. This research explores the feasibility of implementing a shift register and without the Multi-threshold CMOS (MTCMOS) approach. At the process technology of 0.18 µm, 0.12 µm, and 90 nm, an investigation into the power loss and transmission delay characteristics of a variety of flip-flops is carried out. As technology gets shrunk, the amount of power lost through leakage rises. Using the greatest technique among all run time strategies, namely MTCMOS, helps to limit the amount of power lost due to leakage. The purpose of this article is to give a comparison between various traditional flip-flops and the TSPC flip-flop with regard to power usage, diffusion delays, product of delay-power (PDP), area, and power flow using the findings obtained from the Microwind simulator.","PeriodicalId":407405,"journal":{"name":"Malaysian Journal of Science and Advanced Technology","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129613795","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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