Ahmad Faizal Salleh
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Ahmad Faizal Salleh
Official Name
Ahmad Faizal, Salleh
Alternative Name
Ahmad Faizal, S.
Salleh, A.
Salleh, Ahmad Faizal
Faizal, S. Ahmad
Mohd Salleh, A. F.
Salleh, A. F.
Salleh, Ahmad Faizal Bin
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  • Publication
    The Influence of Grasping Technique and Arm Posture on Shooting Performance in Traditional Archery
    ( 2021-01-01)
    Fitriyani N.
    ;
    Ahmad Faizal Salleh
    ;
    Mohammad Shahril Salim
    ;
    Kasim M.F.
    ;
    Nurhidayah Omar
    ;
    Maz Jamilah Masnan
    ;
    Ghazali Z.
    Traditional archery is becoming popular and has attracted many people at different age level to acquire skills and finally participate in competitive games. It differs from modern recurve archery where it could not rely on equipment for accuracy and stability. It depends on the skilled developed by the archer and adaptability to the environment for competition. Technique of archery shooting was written in many books and may require investigation to confirm their effect on performance of an archer. Therefore, this study aims to investigate the effect of arm posture and bow’s grasping techniques on the traditional archer’s shooting performance (higher score and minimal distance from bulls eye to the location where the arrow hits the target). Four experienced archers performed 5 m indoor shooting and their movement was recorded using motion capture system. The Square grasping technique resulted in more higher scores and minimal distance as compared to the other technique. Overall, the arm posture angle, Φ, did not influenced the shooting performance, except for the Oblique grasping technique.
  • Publication
    Accelerometer-based physical fatigue assessment in 400 meter running event
    ( 2021-05-03)
    Atiya S.O.
    ;
    Ahmad Faizal Salleh
    ;
    Norasmadi Abdul Rahim
    ;
    Mohammad Shahril Salim
    ;
    Saidatul A.
    ;
    Nurhidayah Omar
    ;
    Hamzah S.
    Monitoring physical fatigue and capacity is important in high-performance environments to optimize the training stimulus and minimize unplanned physical fatigue. For that purpose, accelerometer sensors have emerged as a tool with the potential to measure and reflect changes in runner's acceleration. An accelerometer was used to measure the acceleration patterns which provided an analogue signal that could analyzed further by using different feature extractions. This research was aimed to estimate the location of physical fatigue occurrence in 400 m running. Basically, the experiments were conducted in outdoor track field, 6 subjects were involved, with age ranging between 19-24 years. In this study, two features have been used which are root mean square (RMS) and player load (PL) to indicate fatigue. The obtained results have shown that there were declines in the player load values in the last 150 m of running for most of the subjects which indicate occurrence of physical fatigue. On the other hand, some subjects have tried to save their energy in the 2nd and 3rd 100 m to speed up again in the last 100 m but there were obvious decrements in their player load in 400 m compared to the 1 100 m of running.
  • Publication
    The economic determinants of sports industry in Malaysia
    ( 2021-07-21)
    Mohammad Harith Amlus
    ;
    Rashid I.M.A.
    ;
    Samah I.H.A.
    ;
    Nazmizan Muhammad
    ;
    Ahmad Faizal Salleh
    ;
    Ahmad Zaidi Abdullah
    Sports thought-about united of the foremost vital components in national development. Since independence in 1957, Malaysian government has place such a lot efforts and measures on sports development. Asian nation sporadically goes through periods of distress associated with sport performance. Asian nation spends plenty of cash and experience on its high performance athletes. Programs facilitate high athletes perform higher in coaching, endure injury, train the mental facet of performance, and aid athletes and coaches in alternative areas similarly. this can be cash that's well spent. Indeed, if the govt. goes to pay cash supporting sport this can be wherever these funds belong. The Malaysian tourism sector has widened its scope by venturing into extreme sports tourism. With this new development, tourism opportunities square measure created and boosting the Malaysian tourism business growth. the aim of this paper is to see the predictors of sports tourism involvement in Asian nation from the economics perspective. The recent shocks in provide and demand within the world aren't because of sudden economic reasons. Indeed, associated with Covid-19 that causes speedily spreading world health issues and life threats round the world coping with the social issues created by Covid-19 pandemic, they ought to not neglect the economic changes created by this pandemic. The government-ordered lockdowns have discontinuous life for billions and within the same time creates economic collapse situation. The foremost vital of those economic changes in developing countries with high fragility is exchange rates caused by sports and tourism industry, as a result of exchange rates will directly have an effect on several economics variables, from inflation to foreign trade, from the balance of payments to interests. Therefore, this analysis calculates the result of COVID-19 to sports and tourism business for affected countries within the worldwide. This study evaluated the impact using supply and demand curve to detect the economic changes in tourism industry. Lastly, tourism and sports sector became an intermingled strategy for several nations to get important value. Malaysia, for instance, in its National Key Economic space (NKEA) under the tourism sector indicates international sports events as a serious economic activity to push.
  • Publication
    Variation of Stress Intensity Factor and Strain Energy Release Rate in Human Cortical Bone Using Finite Element Analysis
    ( 2021-01-01)
    Mohammad Shahril Salim
    ;
    Nur Azila Azahari
    ;
    Ahmad Faizal Salleh
    ;
    Ruslizam Daud
    ;
    Hamzah Sakeran
    Finite element analysis is an alternative way to study human fracture behaviour as the technology is a leading innovation in biomechanics field. The aim of this study is to analyse the strain intensity factor and strain energyrelease rate when three-point bending test and tensile test were applied on a two-dimensional cortical bone model developed and tested using finite element software, Ansys. K values gained from Data Extrapolation Method (DEM) through Ansys for three-point bending test were compared with CINT method, Hiroshi Tada’s and Allan F. Bower’s theoretical expression while K values from DEM were only been compared with CINT method for tensile test. Meanwhile, J-integral values were obtained through CINT method using Ansys and analysed with different crack-to-width ratios and loads. As a result, stress intensity factor increased as crack-to-width ratio increased and strain energy release rate also increased as crack-to-width ratio and loads increased. It can be concluded that finite element analysis can be used to study the fracture behaviour of human cortical bone.
  • Publication
    Non-invasive Detection of Ketum Users through Objective Analysis of EEG Signals
    ( 2021-11-25)
    Nawayi S.H.
    ;
    Vikneswaran Vijean
    ;
    Ahmad Faizal Salleh
    ;
    Rashid R.A.
    ;
    Planiappan R.
    ;
    Lim C.C.
    ;
    Fook C.Y.
    ;
    Saidatul Ardeenawatie Awang
    Ketum leaves are traditionaly used for treatment of backpain and reduce fatigue. However, in recent years people use ketum leaves to substitute traditional drugs as they can easily be obtained at a low cost. Currently, a robust test for ketum detection is not available. Although ketum usage detection via test strip is available, however, the method is possible to be polluted by other substances and can be manipulated. Brain signals have unique characteristics and are well-known as a robust method for recognition and disease detection. Thus, this study has been done to distinguish between ketum users and non-users via brain signal characteristics. Eight participants were chosen, four of whom are heavy ketum users and four non-users with no health issues. Data were collected using the eegoSports device in relaxed state. In pre-processing, notch filter and Independent Component Analysis (ICA) were used to remove artifacts. Wavelet Packet Transform (WPT) was used to reduce the large data dimension and extract features from the brain signal. To select the most significant features, T-Test was used. Support Vector Machine (SVM), K-Nearest Neighbour, and Ensemble classifier were used to categorize the input data into ketum users and non-users. Ensemble classifier was found to be able to predict the testing instances with 100% accuracy for open and closed eyes task with Teager energy and energy to standard deviation ratio as the features.
  • Publication
    The Influence of Saracen Archery Grasping Techniques and Forearm Muscles Activation on Shooting Performance in Traditional Archery: A Pilot Study
    ( 2021-11-25)
    Kamarudin N.F.
    ;
    Ahmad Faizal Salleh
    ;
    Mohammad Shahril Salim
    ;
    Kasim M.F.
    ;
    Nurhidayah Omar
    ;
    Maz Jamilah Masnan
    ;
    Lim C.C.
    The purpose of this study is to understand the influence of four grasping techniques recommended by Saracen Archery and associated forearm muscles activation on traditional archer’s shooting performance. Each archer has shot 6 arrows in each grasping technique to the target, EMG activities of muscle Flexor Digitorum Superficialis (MFDS) and muscle Extensor Digitorum (MED) were collected in bow arm during aiming phase. The shooting performance was indicated by the distance from arrow hitting point on the target to the bull’s eye. The results revealed that each subject has specific grasping technique to obtain the best shooting performance. The grasping technique that generated the best performance is not as recommended by Saracen Archery. All subjects indicated that the best shooting performance was obtained when MED activated more than MFDS.
  • Publication
    Splining raw kinematic data of standing-bending-lifting movement
    ( 2024-01-05)
    Nurhidayah Omar
    ;
    Isa M.S.M.
    ;
    Ahmad Faizal Salleh
    ;
    Mohammad Shahril Salim
    Spline functions and digital filtering are two numerical methods normally used by the researchers in the field of biomechanics to perform data smoothing and time differentiation. The objective of this study is to perform data smoothing on the raw kinematic data of a subject performing standing-bending-lifting activity using spline function, and to calculate time differentiation from the kinematic data. Raw data on standing-bending-lifting movement was recorded in Biomechanics Lab, UniMAP. Next, quintic spline function was used to smooth the data and calculate the angular velocity and angular acceleration at L5, L3, L1, MAI and T2. When calculated for one trial, the error estimation between smooth and raw data at L5, L3, L1, MAI, and T2 are 0.008°, 0.003°, 0.003°, 0.004°, and 0.008°, respectively. When calculating for five trials, the average error estimation between smooth and raw data at L5, L3, L1, MAI, and T2 are 0.007°, 0.009°, 0.011°, 0.012°, and 0.012°, respectively. The result shows that the quintic spline is able to produce satisfactory output in data smoothing.
  • Publication
    Analysis of crack propagation in human long bone by using finite element modeling
    ( 2017-12-04)
    Mohammad Shahril Salim
    ;
    Ahmad Faizal Salleh
    ;
    Ruslizam Daud
    The aim of this research is to present a numerical modeling of crack for human long bone specifically on femur shaft bone under mode I loading condition. Two - dimensional model (2D) of long bone was developed based on past research study. The finite element analysis and construction of the model are done using Mechanical APDL (ANSYS) v14.0 software. The research was conducted mainly based on two conditions that were at different crack lengths and different loading forces for male and female. In order to evaluate the stress intensity factor (KI) of the femur shaft of long bone, this research employed finite element method to predict the brittle fracture loading by using three-point bending test. The result of numerical test found that the crack was formed when the crack length reached 0.0022 m where KI values are proportional with the crack's length. Also, various loading forces in range of 400 N to 1000 N were applied in an attempt to study their effect on stress intensity factor and it was found that the female dimension has higher KI values compared to male. It was also observed that K values found by this method have good agreement with theoretical results based on previous research.
  • Publication
    Intelligent fall detection system using traditional and non-traditional machine learning algorithm based on MQTT
    ( 2021-07-21)
    Cheong C.Y.
    ;
    Lim C.C.
    ;
    Chong Y.F.
    ;
    Vikneswaran Vijean
    ;
    Ahmad Faizal Salleh
    ;
    Affandi M.
    The population of elderly people exposed to the risk of fall increases each year as reported by World Health Organization (WHO). Fall detection system presented normally is high cost, large size and not efficient. Wearable-based sensor fall detection system developed in this project which were small size, portable and low-cost. The concept of Message Queuing Telemetry Transport (MQTT) applied in this fall detection system to ease the process of data transmission from motion sensor to Raspberry Pi for classification via Wi-Fi. A small size and lightweight microcontroller (Wemos D1 mini ESP 8266) integrated with MPU6050 motion sensor to sense and publish the motion data. Raspberry Pi 3 Model B applied to carry out classification of the motion data. Machine learning algorithms used for classification in comparison were k-Nearest Neighbors (k-NN) and Long Short-Term Memory (LSTM) of Recurrent Neural Network (RNN). LSTM achieved better result at 97% than k-NN at 94%. Smartphone used to publish the notification via an application known as Blynk.
  • Publication
    The impact of tourism performance on sports industry in Thailand and Indonesia
    ( 2021-07-21)
    Mohammad Harith Amlus
    ;
    Rashid I.M.A.
    ;
    Samah I.H.A.
    ;
    Nazmizan Muhammad
    ;
    Ahmad Faizal Salleh
    ;
    Ahmad Zaidi Abdullah
    The COVID-19 epidemic has thrown Indonesia's sports calendar into confusion, with many high-profile sporting events rescheduled or postponed for the foreseeable future. Tourism is one of the greatest vital sectors pouring the Thai economy, which can constantly generate great income for Thailand and Indonesia. The number of international tourist arrivals to Thailand in 2018 reached 38.12 million people and Indonesia sport tourism received 250,000 foreign tourists in 2018. Based on an all-encompassing approach, this research has exposed that integrating various strategies for tourism expansion with sound government policies and proactive management practices have led to significant positive outcomes towards mutual success of tourism sectors of Thailand. Additionally, the paper delivers considered policy to drive long-lasting enhancements in tourism sector, exchange rate and service sectors through efficient management and intelligent utilization of resources in tourism sector. The recent shocks in provide and demand within the world aren't because of sudden economic reasons. Indeed, associated with Covid-19 that causes speedily spreading world health issues and life threats round the world coping with the social issues created by Covid-19 pandemic, they ought to not neglect the economic changes created by this pandemic. The government-ordered lockdowns have discontinuous life for billions and within the same time creates economic collapse situation. The foremost vital of those economic changes in developing countries with high fragility is exchange rates caused by sports and tourism industry, as a result of exchange rates will directly have an effect on several economics variables, from inflation to foreign trade, from the balance of payments to interests. Therefore, this analysis calculates the result of COVID-19 to sports and tourism business for affected countries within the worldwide. Thus, this study evaluated the impact tourism performance to detect the economic changes in sports industry.