Syed Zulkarnain Syed Idrus
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Preferred name
Syed Zulkarnain Syed Idrus
Official Name
Syed Zulkarnain, Syed Idrus
Alternative Name
Syed Idrus, Syed Zulkarnain
Idrus, Syed Zulkarnain Syed
Idrus, S. Z.S.
Syed Idrus, S. Z.
Idrus, Syed Zulkarnain Bin Syed
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Scopus Author ID
57215416897

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Tricet Method to Increase the Hypertrophy Muscle

2020-06-17 , Nasrulloh A. , Prasetyo Y. , Nugroho S. , Yuniana R. , Pratama K.W. , Mustapha A. , Syed Zulkarnain Syed Idrus

Tricet method of weight training is an exercise that involves using three types of tools to train one group muscle in the sequence order, but with different types of exercises for each set and without breaks between sets. Exercise with this method is able to provide maximum response to a group of muscles that are trained so that the potential for muscle development is more optimal. This paper investigates this method by giving a treatment in the form of weight training with the tricet method to be carried out 3 times a week, with exercise intensity of 70% to 80% or One Maximum Repetition (1RM), 3 sets, and 8-12 repetitions with the aim of increasing muscle hypertrophy. The results of the pre and post-Test hypertrophy t-Test analysis of arm, chest, thigh, and calf muscles in the experimental group showed a significant difference (p < 0.05). This investigation concluded that weight training based on the tricet method is able to increase hypertrophy over body large muscle.

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A Hybrid Sentiment Based SVM with Metaheuristic Algorithms for Cryptocurrency Forecasting

2023-01-01 , Hitam N.A. , Ismail A.R. , Syed Zulkarnain Syed Idrus , Eltayeb M.A.M.A. , Samsudin R. , Jussila J. , Alkhammash E.H.

In 2016, cryptocurrency was reported to be active in terms of user adoption. Generally speaking, making the correct forecast is essential in any field, but it is more important in cryptocurrencies. Researchers have studied machine learning algorithms with cryptocurrencies, a concept that has been recently presented and has a great future as a financial instrument for investors. However, previous studies have ignored key variables like emotions and public opinion, which are vital in today’s market. The next contribution to this project will be a hybrid sentiment-based support vector machine (SVM) with chosen optimization methods for bitcoin predictions. Additionally, we integrate a technical indicator, the Commodity Channel Index (CCI), which is utilised in conjunction with the machine learning approach to improve the results of time series forecasting. Particle swarm optimization (PSO) and moth-flame optimization (MFO) are effective at optimising functions. This work introduces a novel hybrid sentiment-based SVM optimised by particle swarm and moth-flame algorithms (SVMPSOMFO) to improve predicting accuracy. SVMPSOMFO optimises the model’s parameter values by combining PSO and MFO, which increases search capacity and efficiency. The suggested algorithm’s performance is compared to that of three optimization algorithms, SVMPSO, SVMMFO, and SVMALO. SVMPSOMFO outperforms other algorithms based on performance and comparative study.

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Smart Home Package Mailbox for Online Shopping Delivery Safety

2024-05-10 , Irfan M.A. , Ab Rahman M. , Ahmad N. , Abd Wahab M.H. , Syed Zulkarnain Syed Idrus

Online shopping has become an alternative way for people in buying things, especially in the middle of the novel coronavirus (COVID-19) outbreak crisis. Besides, it is also making life easier. The problem with online shopping is when sometimes customer could not able to receive the goods when nobody at home. And it also involved safety considerations as in normal case, the good will be left outside the premises by the courier when the recipient not at home the good might be stolen. This paper aimed to design a Smart Home Package Mailbox to secure the delivery packages receive safely with good condition by reducing the problems occurring during the delivery. The Smart Home Package Mailbox is a hardware that operates by using the Quick Response (QR) code to communicate with its system. It has two compartments level which levels two for receiving package and level one for storing the received packages. Two main android applications have been developed to support the project system. The Smart Postman application is for the postman to open the mailbox door and update data in the database. While Smart Home Mailbox application is for users to track the delivery and receive notification. Once the sending package is put inside the mailbox, the sender and the recipient will be notified regarding the delivered package. This project is able to increase courier management efficiency as well as packages being delivered within expected time with good condition.

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Adaptation of MAPE-K and Fuzzy Q-Learning in SLA management

2020-06-17 , Ramli A.K. , Wahab M.H.A. , Syed Zulkarnain Syed Idrus

A Service Level Agreement (SLA) is the legal catalyst to monitor any contract violation between end users and ISPs and is embedded within a Quality of Service (QoS) framework. The key to the proposed architecture is the utilization of self-capabilities designed to have self-management over uncertainties and the provision of self-adaptive interactions. Thus, the Monitor, Analyse, Plan, Execute and Knowledge Base (MAPE-K) approach can deal with this problem together with the integration of Fuzzy and Q-Learning algorithms. The proposed experiment is in the context of autonomic computing. An adaptation manager is the main proposed component to update admission control on the ISP current resources and the ability to manage SLAs.The proposed solution, demonstrating Q-Learning works adaptive with QoS parameters, e.g. Latency, Availability and Packet Loss. With the combination of fuzzy and Q-Learning, we demonstrate that the proposed adaptation manager is able to handle the uncertainties and learning abilities. Q-Learning is able to identify the initial state from various ISPs iterations and update them with appropriate actions, reflecting the reward configurations. The higher the iterations process the higher is the increase the learning ability, rewards and exploration probability.

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E-MEDIC: A mobile application for common medicines at pharmacy

2023-06-12 , Mahendran B.E. , Syed Zulkarnain Syed Idrus , Ummi Naiemah Saraih , Wahab M.H.A. , Wan Azani Wan Mustafa , Mohd Aminudin Jamlos

Humans' and the world's lifestyles have changed dramatically through time as a result of technological advancements. Communication technology has advanced swiftly in the contemporary age, making a significant contribution to human existence. Smartphones are one of the most useful technologies. Mobile apps arose as a result of the evolution of regular phones into smartphones. Mobile applications with various functions give varying levels of aid to human existence. This study aims to give self-medicating patients a guideline and correct content information of over-the-counter (OTC) drugs. Subsequently, it is to develop a mobile application for the medication (E-MEDIC app). Furthermore, it is to ease and save users' time searching for medicines content. The third objective is to evaluate the user's acceptance of the medication mobile application (E-MEDIC app). The qualitative methodologies utilised for the E-MEDIC mobile app included locating two specialists to conduct an Alpha Test to obtain their thoughts and selecting twelve respondents with relevant experience to serve as testers. The experiment includes several areas of the application's functioning, usability, and interface design. All respondents and experts agreed that the E-MEDIC mobile app's functionality, usefulness, and usability are excellent. The E-MEDIC smartphone app, which is based on this initiative, can provide accurate information and content specifics on over-the-counter (OTC) medications to self-medicating patients. If properly implemented in pharmacies, OTC medications, and public health, the E-MEDIC smartphone app offers several benefits. The results from this study are promising.

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Development of Body Stress Analyzer based on Physiological Signal

2020-06-17 , Majid N.A.B.A. , Sahar N.M. , Sari S. , Taujuddin N.S.A.M. , Nurliza M.N. , Wahab M.H.A. , Ambar R. , Syed Zulkarnain Syed Idrus

Ehealth is one of the system that use modern technologies that be apply to the healthcare organization. This system allowed the patient to access the system to monitor their health records and else by using internet as a platform to communicate. Thus, this project is inspired by Ehealth system to making a hardware device with software application that act as monitoring system to the people. For the hardware, the user only need to grasped the two terminal in the device that contains of all the sensor for doing the testing procedure. Thus, all the data that be contain will be sent to the apps via internet of things for storing them. This will helps physical education and health teacher to do observation and record the data obtain from the apps.Besides, this way also will avoiding any incident to be occur towards the students if they carry on the activities in abnormal condition of their body system. The scope for this project is focusing on monitoring students body condition before they starting their outdoor activities in the field. The way for sensing the parameter including pulse sensor, LM35 and Galvanic Skin Response sensor with arduino as a microcontroller to process the input and output signal.

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Mobile Application Outdoor Navigation Using Location-Based Augmented Reality (AR)

2020-06-17 , Asraf S.M.H. , Ameer Fuhaili Mohamad Hashim , Syed Zulkarnain Syed Idrus

In order to formalize and co-create the Industrial Revolution 4.0. Augmented Reality is indispensable to facilitate human life. As a result, the difficulty is experienced by the user to know the exact location. As such, these developed applications can greatly assist mobile application users in making it easier to decide where to use their smartphones in specific location. Using Augmented Reality GPS location-based is well suited to a phone's ability to have GPS sensors. Therefore, the place the user is searching or choosing is at the end of the user's finger and it is in the form of virtual environment real-time.

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Perpendicular High Isolation MIMO Antenna

2022-01-01 , Mohd Aminudin Jamlos , Sabri N.H.M. , Wan Azani Wan Mustafa , Khairul Najmy Abdul Rani , Syed Zulkarnain Syed Idrus , Husna H.

This research presented a perpendicular high isolation MIMO antenna for LTE advance application. A high gain perpendicular MIMO antenna is concentrated on designing used in LTE advance application. The issues of low isolation of conventional antenna can be solved by structuring a MIMO antenna in order to increase the isolation in LTE advance application. Generally, the array antenna design causes a bigger antenna size and has a mutual coupling which lead to spectral efficiency damage and reduce the MIMO antenna framework performance. The substrate material like FR-4 is choosing as a dielectric substrate due to its good performances for many applications beside it has a low cost and more usable. The advantage of copper such as has a great relative material, cheaper and easy to construct is choose in this project as a conductive material. ADS software has been utilized for the structure stage to design the antenna. Then, the results are evaluated in terms of return loss (S11 and S22), mutual coupling (S12 and S21), match impedance, directivity, radiation pattern, gain and radiated power. Vector Network Analyzer (VNA) is used to measure the fabricated antenna. The factor of cable loses and the soldering technique will make the measurement result was slightly change from the simulating result. However, the antenna design satisfied the proficiency necessity of the antenna which the frequency is drop at 2.5 GHz with the return loss is below than −10 dB.

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Assessing Student Visual Fatigue in Virtual Semiconductor Labs via Head-Mounted Displays: A Computer Vision Syndrome Questionnaire (CVS-Q)

2023-01-01 , Alnagrat A.J.A. , Rizalafande Che Ismail , Akeel A.A.A. , Salem A.A.M.A. , Khalefah S.E.A.S. , Syed Zulkarnain Syed Idrus

This paper evaluates visual fatigue among students in a virtual semiconductor lab using HMDs - the HP Reverb G2 and Oculus Quest 2 - and the CVS-Q questionnaire. The study measures the frequency of visual fatigue symptoms (never, occasionally, or always) and aims to determine the effects of HMD usage on visual fatigue and eye strain, providing insight into the benefits and drawbacks of using HMDs in virtual labs. The study was conducted during the COVID-19 pandemic and aims to determine the effects of HMD usage on visual fatigue and eye strain among students in a virtual semiconductor laboratory learning environment. The results of this evaluation will provide insight into the potential benefits and drawbacks of HMD usage in virtual laboratory environments and inform the development of strategies to mitigate visual fatigue.

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Simulated Triple Circular Split-Ring Resonator Metamaterial Unit Cell for THz application

2020-09-21 , Marzuki M.K. , Mohd Aminudin Jamlos , Wan Azani Wan Mustafa , Syed Zulkarnain Syed Idrus

Metamaterial used widely nowadays to overcome the limitation of the natural material in manipulating the electromagnetic wave and radiation. Split-Ring Resonator (SRR) have been used widely as a design to manipulate the electromagnetic waves but none of them used for higher frequency such as light frequency. Therefore, the objective of this paper is to design SRR unit cell that is capable to bend the light wave. The negative value of material properties obtained from the simulation of the metamaterial at three different part which are at phase=0, real value and imaginary value. CST Microwave Studio 2018 used as a simulation software. The results show all the negative value of material properties obtained at different frequency range. However, the negative value of material properties at phase=0 and imaginary part is obtained at same frequency range. While for real part, the negative value for all material properties occurred at different frequency range. This SRR design is suitable to manipulate the lights radiation waves.

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