Mohd Irwan Yusoff
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Preferred name
Mohd Irwan Yusoff
Official Name
Mohd Irwan , Yusoff
Alternative Name
Irwan, Y. M.
Irwan, M. A.M.
Yusoff, Y. M.
Irwan, Mohd
Main Affiliation
Scopus Author ID
57216317186
Researcher ID
GKB-6081-2022

Research Output

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A brief review of the EMF interaction: Metal implantation and biological tissues

2017-01-01 , Mohd Hafizuddin Mat , Muzammil Jusoh , Hasliza A Rahim @ Samsuddin , Mohd Irwan Yusoff

In analyzing the near field for a device, such as a mobile phone used in close proximity to tissues, it is difficult to predict the electromagnetic field (EMF) and other characteristics, since certain parts of the mobile phone scatter and reflect the EMF. Moreover, the absorption of EMF in the lossy tissues mitigates as the radio frequency (RF) energy is absorbed by the tissue. In order to minimize the heating effect on human tissue caused by this absorption of RF energy by the human body, all communications equipment (CE) must comply with the guidelines that established the maximum power output of devices. Though RF emissions from CE are carefully measured, the probability exists that the RF characteristics are reformed somewhat when tissue that illuminated by RF energy embedded with implant, thereby increasing the specific absorption rate (SAR). The SAR is the fundamental metric for specifying RF absorption by tissues and it can be calculated at any location in the tissue.

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Determination of soft starter firing angle performance to mitigate motor high inrush current using current limitation method

2020-03-20 , Mohamad Shukor Abdul Rahim , Azizan, Muhammad Mokhzaini , Mohd Irwan Yusoff , Mohd Hafizuddin Mat , Nur Irwany Ahmad , Noor Fazliana Fadzail , Md Esa, Suhaireza Binti

Inrush current in the simplest form can also be determined as current drawn by an induction motor during startup period. This starting current will shoot up about 5 to 7 times the rated current. However, this high current usually occur in the starting period only. To overcome this, several techniques can be implemented to reduce the high current. The configuration of soft starter just involving some power semiconductor device act as switches that control the current flow from power source to the motor. The switches is in form of thyristor and are connected back-to-back because the system conduct in AC system. The current output can be controlled by varying the firing angle. This changing of firing angle will be managed by a firing angle control circuit. This soft starter was connected between power source and motor. The thyristors that built in soft starter act like a gate to control the voltage applied to the motor. The firing angle for current limitation soft starter was changed to several angle and what can be concluded that the high current succeed to mitigate with increasing the firing angle. The current drawn for this type of starter is steadily constant. The lower current during starting took longer time for motor to reach its rated speed. This type of starter successfully reduces inrush current about 42 percent. Finally what can be concluded is that the soft starter was proven to mitigate inrush current. Type of soft starter that going to implement is depending on the application of motor. When the application need to control the torque is more suitable to use current limitation soft starter because the current is steadily control.

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Assessment of cooling photovoltaic-wind hybrid power controller system for AC load application in tropical climate condition

2015 , Mohd Irwan Yusoff

This research looks at the assessment of cooling photovoltaic (PV)-wind hybrid power controller system for alternating current (AC) load application in tropical climate condition. It has four objectives in order to fulfill the requirement of this research. Firstly, the study of the potential PV and wind power generation in Perlis has been discussed. The data of solar radiation and wind speed were measured at the Centre of Excellence for Renewable Energy (CERE), University Malaysia Perlis in Perlis, Malaysia. The average of solar radiation for the past three years (2011 to 2013) is higher than 3 kWh/m2 which indicates that Perlis is suitable for solar power technology application. Secondly, a new model based on wind direction data in order to estimate the wind speed has been proposed. The development of the theory of circular-linear functional relationship model via circular-linear regression model proposed by Mardia (1976) when both variables are subject to errors are presented. The model has fitted the data quite well by assuming that both variables of the unreplicated circular-linear functional relationship model are subject to errors. This indicates that the proposed method is acceptable and applicable. Third, the temperature of PV module increases when it absorbs solar radiation, causing the decrement of efficiency. Therefore, the proposed topology of PV automatic cooling system is designed, constructed and experimentally researched within this study in order to overcome this challenge. To reduce the PV module surface temperature, direct current (DC) cooling system was designed using three methods which are DC brushless fan, DC water pump and DC hybrid brushless fan with DC water pump. They will make the air movement and water flow circulation at the back side and front side of PV module, respectively. Four temperature sensors were installed on the PV module to detect its surface temperature.

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Design of investment detection in fish cultivation uno arduino based

2022-02-22 , Arnawan Hasibuan , Asran Asran , Rizky Ramadhana Sembiring , Muzamir Isa , Mohd Irwan Yusoff , Siti Rafidah Abdul Rahim

Fish farming is a job that many Indonesian people do, especially in villages. The nature of fish that is able to adapt quickly to transfer from pond to pond makes many residents choose to breed fish over other livestock. Many types of fish can be cultivated well, but most people choose to cultivate goldfish. Goldfish have an economic value that is quite tempting for the community. There are some fish that have a higher economic value, but people are more extra in maintaining them, for example in terms of feed. Goldfish can be fed only when the sun is hot. If the sun does not come out, then the goldfish should not be fed because it can cause the fish to die. Besides that, goldfish only need water flowing into the pond for fish oxygen. The number of people who breed fish, there are also many irresponsible people. The reason is, when the fish begin to grow up, many fish begin to disappear, making people nervous and hot. Based on the above problems, it provides a very potential opportunity to create a tool that can overcome community unrest. Fish farming theft detection tool which is an innovative tool to overcome or find out the perpetrators of theft. Thus, hopefully the tools used can reduce the risk of stealing fish and reduce the losses of fish cultivators.

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Effect of installation of distributed generation at different points in the distribution system on voltage drops and power losses

2021-05-03 , Hasibuan A. , Muzamir Isa , Mohd Irwan Yusoff , Siti Rafidah Abdul Rahim , Nrartha I.M.A.

The main purpose of this paper is to analyze the impact of different positions of different DG penetrations on bus voltage profiles and channel power losses. The main classification can be done by putting DG on the most critical bus, the closest bus to the most critical but critical bus too, the closest bus to the feeder but critical too, and the furthest from the feeder but critical too. Installing a distributed generation in a distribution network can significantly affect the power system. The effect depends on DG allocation of the distribution network. Implementation of this approach has been made with the IEEE 34 bus standard at different points. DG placement site selection method based on buses decreased voltage over the limit permitted. Simulation results from a case study on the IEEE 34 bus standard system show that the voltage profile on each bus and the loss of system power will be different when compared to the DG installation at different points.

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Assessment of wind power potential in the North region of Malaysia, Chuping Perlis

2023-01-01 , Thiraphorn Bun Leew , Leow Wai Zhe , Mohd Irwan Yusoff , Safwati Ibrahim , Tan Xiao Jian , Muhammad Irwanto Misrun , Kumuthawathe Ananda-Rao

The wind turbines is a main device that convert the kinetic energy from blades to electrical energy. Before installing wind turbines, the Weibull probability distribution must be calculated to determine the certain wind speed probability. Many problems will come if there no analysis the characteristics of wind in selected location, such as wind speed that not suitable for building wind farm to supply the population in that area. Shape and scale factors, which be controlled in a variety of ways, influence the Weibull distribution. Many studies have looked into which of the various Weibull parameter estimation methods is the most dependable. However, because the results of these investigations were inconsistent, research into more trustworthy Weibull parameter estimation methods is still ongoing. An analysis of data collected Chuping, Perlis for two years was conducted in this study (from 2018 to 2019). By using statistical analysis to evaluate the Weibull distribution method, this study used three methods to compared the Weibull parameters and identified the most reliable and effective method to obtain the Weibull probability distribution by using a three approach that compares the variances of RMSE, MSE and R2, which provides comprehensive insight into level error and volatility. Modified maximum likelihood method, graphical method, and power density method are the three methods used in this study. Therefore, the graphical method has the best accuracy in the wind speed distribution prediction, several methods such as the modified maximum likelihood method, and the power density method have the worst prediction of the wind speed distribution based on all the statistical method variances for this region.

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Performance power evaluation of DC fan cooling system for PV panel by using ANSYS CFX

2017-09-26 , Nur Syafiqah Zhubir , Nasrul Amri Mohd Amin , Mohd Irwan Yusoff , Muhammad Irwanto Misrun , Leow Wai Zhe , Amelia A.R.

A research has been conducted to find the optimum combination for DC fan air cooling system of photovoltaic (PV) panel. During normal operation of PV panel, it is estimated that only 15 % of solar radiation is converted into electrical energy. Meanwhile, the rest of the solar radiation is converted into heat energy which affects the performance of the PV panel. Therefore, the aim of this research is to investigate the performance power evaluation of DC fan cooling system for PV panel by using ANSYS CFX. The effect of airflow configuration of DC fan has been investigated. This is to analyze whether the airflow circulation of DC fan cause a change towards the maximum temperature of PV panel. Besides, the impact of varying number of DC fans attached at the back of PV panel is evaluated. The result of airflow circulation of DC fan has been discussed. Meanwhile, with the increment number of DC fans, the PV panel temperature drops significantly. As a conclusion, the optimum number of DC fans is two with the combination of inlet airflow.

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Critical Review: Adaptive Pole Assignment PID Controller on DC-DC Converters

2020-03-20 , Husna A.W.N. , Mohd Hafizuddin Mat , Mohd Najib Mohd Yasin , Muzammil Jusoh , Mohd Irwan Yusoff , Mohamad Shukor Abdul Rahim , Esa S.M.

Recently, control usages of DC-DC converters have been widely investigated particularly in renewable energy; as the primary sources. Discovering the most appropriate control method to be applied in DC-DC converter topologies is the most significant interest of research and development in this field. Thus, the review is carried out in selecting a control method that capable to improve the functioning of the converters as well as reducing the effect of disturbances and load variances.

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Development A Portable Solar Energy Measurement System

2021-07-26 , Atika Z. , Leow Wai Zhe , Iszaidy I. , Mohd Irwan Yusoff , Safwati Ibrahim , Muhammad Irwanto Misrun , Wafi N.M. , Saw S.X.

This project presents the design and development a portable measurement device for measure and monitor solar panel parameters by using Internet of Things (IoT) concept. Solar energy measurement plays a very important role in the measurement of parameter reading for the determination of output generated, but the challenge is only performed manually at the work site using a clamp meter or a multimeter. Furthermore, it was very difficult to get the value at that time, and the data recovery error occurred. There are three specific objectives have been used for the project. Firstly, the relevant circuits for this project are design and built the circuit by using software. The output of the measurement solar irradiance, ambient temperature, solar panel temperature, current and voltage value were displayed on LCD. Next, IoT concept is used for solar panel measurement and monitoring. The value of the measurement and monitoring is used ThingSpeak cloud and ThingView application on the smartphone. It can be collected the portable solar for the energy measurement system can monitor on site, anywhere and anytime using IoT platform.

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A review of detecting outlier in a circular regression model

2020-03-20 , Ramlee, Intan Mastura , Safwati Ibrahim , Leow Wai Zhe , Mohd Irwan Yusoff

Circular data is very relevant and important application technique in many fields such as physical science, medical science and others. During the last few years, writers have shown a deep interest of outlier detection in the circular regression model. In this case, authors have a tendency to study and explore in detail about the outlier detection in circular regression model. This paper aims to review the outlier detection methods in circular regression model. Here, we concentrate the attention on the methods of identifying outlier in this model. These survey of circular regression models in which many interesting properties and is good enough to detect the occurrence of outlier. Through the survey may highlight the significant of methods to detect outliers in circular regressions model and provide guideline for future work to look into the research gap.

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