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Dr. Mohammad Marufuzzaman is the Post-Doctoral Researcher at Institute of Energy Infrastructure, Universiti Tenaga Nasional (UNITEN), Malaysia. He completed his M.Sc and Ph.D. degree from the National University of Malaysia (UKM) and published numerous articles with h-index of 11. His research interest includes artificial intelligence, machine learning implementation for sustainable environments.
The fishing industry is identified as a strategic sector to raise domestic protein production and supply in Malaysia. Global changes in climatic variables have impacted and continue to impact marine fish and aquaculture production, where machine learning (ML) methods are yet to be extensively used to study aquatic systems in Malaysia. ML-based algorithms could be paired with feature importance, i.e., (features that have the most predictive power) to achieve better prediction accuracy and can provide new insights on fish production. This research aims to develop an ML-based prediction of marine fish and aquaculture production. Based on the feature importance scores, we select the group of climatic variables for three different ML models: linear, gradient boosting, and random forest regression. The past 20 years (2000–2019) of climatic variables and fish production data were used to train and test the ML models. Finally, an ensemble approach named voting regression combines those three ML models. Performance matrices are generated and the results showed that the ensembled ML model obtains R2 values of 0.75, 0.81, and 0.55 for marine water, freshwater, and brackish water, respectively, which outperforms the single ML model in predicting all three types of fish production (in tons) in Malaysia.
Labonnah Farzana Rahman; Mohammad Marufuzzaman; Lubna Alam; Azizul Bari; Ussif Rashid Sumaila; Lariyah Mohd Sidek. Developing an Ensembled Machine Learning Prediction Model for Marine Fish and Aquaculture Production. Sustainability 2021, 13, 9124 .
AMA StyleLabonnah Farzana Rahman, Mohammad Marufuzzaman, Lubna Alam, Azizul Bari, Ussif Rashid Sumaila, Lariyah Mohd Sidek. Developing an Ensembled Machine Learning Prediction Model for Marine Fish and Aquaculture Production. Sustainability. 2021; 13 (16):9124.
Chicago/Turabian StyleLabonnah Farzana Rahman; Mohammad Marufuzzaman; Lubna Alam; Azizul Bari; Ussif Rashid Sumaila; Lariyah Mohd Sidek. 2021. "Developing an Ensembled Machine Learning Prediction Model for Marine Fish and Aquaculture Production." Sustainability 13, no. 16: 9124.
Applications such as non-volatile memories (NVM), radio frequency identification (RFID), high voltage generators, switched capacitor circuits, operational amplifiers, voltage regulators, and DC–DC converters employ charge pump (CP) circuits as they can generate a higher output voltage from the very low supply voltage. Besides, continuous power supply reduction, low implementation cost, and high efficiency can be managed using CP circuits in low-power applications in the complementary metal-oxide-semiconductor (CMOS) process. This study aims to figure out the most widely used CP design topologies for embedded systems on the chip (SoC). Design methods have evolved from diode-connected structures to dynamic clock voltage scaling charge pumps have been discussed in this research. Based on the different architecture, operating principles and optimization techniques with their advantages and disadvantages have compared with the final output. Researchers mainly focused on designing the charge pump topologies based on input/output voltage, pumping efficiency, power dissipation, charge transfer capability, design complexity, pumping capacitor, clock frequencies with a minimum load balance, etc. Finally, this review study summarizes with the discussion on the outline of appropriate schemes and recommendations to future researchers in selecting the most suitable CP design methods for low power applications.
Labonnah Rahman; Mohammad Marufuzzaman; Lubna Alam; Mazlin Mokhtar. Design Topologies of a CMOS Charge Pump Circuit for Low Power Applications. Electronics 2021, 10, 676 .
AMA StyleLabonnah Rahman, Mohammad Marufuzzaman, Lubna Alam, Mazlin Mokhtar. Design Topologies of a CMOS Charge Pump Circuit for Low Power Applications. Electronics. 2021; 10 (6):676.
Chicago/Turabian StyleLabonnah Rahman; Mohammad Marufuzzaman; Lubna Alam; Mazlin Mokhtar. 2021. "Design Topologies of a CMOS Charge Pump Circuit for Low Power Applications." Electronics 10, no. 6: 676.
A high-voltage generator (HVG) is an essential part of a radio frequency identification electrically erasable programmable read-only memory (RFID–EEPROM). An HVG circuit is used to generate a regulated output voltage that is higher than the power supply voltage. However, the performance of the HVG is affected owing to the high-power dissipation, high-ripple voltage and low-pumping efficiency. Therefore, a regulator circuit consists of a voltage divider, comparator and a voltage reference, which are respectively required to reduce the ripple voltage, increase pumping efficiency and decrease the power dissipation of the HVG. Conversely, a clock driving circuit consists of the current-starved ring oscillator (CSRO), and the non- overlapping clock generator is required to drive the clock signals of the HVG circuit. In this study, the Mentor Graphics EldoSpice software package is used to design and simulate the HVG circuitry. The results showed that the designed CSRO dissipated only 4.9 μW at 10.2 MHz and that the phase noise was only -119.38 dBc/Hz at 1 MHz. Moreover, the proposed charge pump circuit was able to generate a maximum VPP of 13.53 V and it dissipated a power of only 31.01 μW for an input voltage VDD of 1.8 V. After integrating all the HVG modules, the results showed that the regulated HVG circuit was also able to generate a higher VPP of 14.59 V, while the total power dissipated was only 0.12 mW with a chip area of 0.044 mm2. Moreover, the HVG circuit produced a pumping efficiency of 90% and reduced the ripple voltage to <4 mV. Therefore, the integration of all the proposed modules in HVG ensured low-ripple programming voltages, higher pumping efficiency, and EEPROMs with lower power dissipation, and can be extensively used in low-power applications, such as in non-volatile memory, radiofrequency identification transponders, on-chip direct current DC-DC converters.
Labonnah Farzana Rahman; Mohammad Marufuzzaman; Lubna Alam; Lariyah Mohd Sidek; Mamun Bin Ibne Reaz. A low power and low ripple CMOS high voltage generator for RFID transponder EEPROM. PLOS ONE 2020, 15, e0225408 .
AMA StyleLabonnah Farzana Rahman, Mohammad Marufuzzaman, Lubna Alam, Lariyah Mohd Sidek, Mamun Bin Ibne Reaz. A low power and low ripple CMOS high voltage generator for RFID transponder EEPROM. PLOS ONE. 2020; 15 (2):e0225408.
Chicago/Turabian StyleLabonnah Farzana Rahman; Mohammad Marufuzzaman; Lubna Alam; Lariyah Mohd Sidek; Mamun Bin Ibne Reaz. 2020. "A low power and low ripple CMOS high voltage generator for RFID transponder EEPROM." PLOS ONE 15, no. 2: e0225408.
Over recent years, there has been a rise in the number of students completing nursery education in Bangladesh. However, in order to achieve a sustainable education goal, the dropout rate in education needs to be reduced. Therefore, this research worked on providing insights that would help to understand the possible causes of dropout from education. Since primary education is the starting point for every student, this research has been conducted on this part of education. The research used data obtained from a European country, Slovenia to use the insights of a developed country. The study was conducted using association rule mining where several mining rules were generated using the Apriori algorithm. The rules obtained had the confidence of 0.95 and support of 0.04. The result showed three major rules of dropping out children in nursery education and eventually helps to ensure higher education for all children.
Mohammad Marufuzzaman; Dipta Gomes; Aneem Al Ahsan Rupai; Lariyah Mohd Sidek. Discovering rules for nursery students using apriori algorithm. Bulletin of Electrical Engineering and Informatics 2020, 9, 298 -303.
AMA StyleMohammad Marufuzzaman, Dipta Gomes, Aneem Al Ahsan Rupai, Lariyah Mohd Sidek. Discovering rules for nursery students using apriori algorithm. Bulletin of Electrical Engineering and Informatics. 2020; 9 (1):298-303.
Chicago/Turabian StyleMohammad Marufuzzaman; Dipta Gomes; Aneem Al Ahsan Rupai; Lariyah Mohd Sidek. 2020. "Discovering rules for nursery students using apriori algorithm." Bulletin of Electrical Engineering and Informatics 9, no. 1: 298-303.
Probable Maximum Flood is considered as one of the most applied inflow design floods in the determination of dam structure adequacy in current practices. This study revised the inflow design flood values for Sungai Perak Hydroelectric Scheme using Probable Maximum Flood estimation. Probable Maximum Precipitation is analyzed for the catchment and the most critical rainfall values are used in establishing the maximum flood. The revised inflow design flood values for the (4) four dams are found to be 17 259.2 m3/s at Temengor Dam, 5 436 m3/s at Bersia Dam, 13 522.6 m3/s at Kenering Dam and 13 025 m3/s at Chenderoh Dam. The inflow design flood values are higher by 2%–30% for all four dams in the scheme and these dams are also found to be inadequate in terms of spillway capacities with the percentage of 5%-11% higher than the designed capacities. Further enhancement needs to be done by the dam owner either with or without structural modifications in order to protect the structure and downstream population at risk.
Juliana Razali; Lariyah Mohd Sidek; Mohammad Marufuzzaman; P. R. Rakhecha; M. R. M Radzi; Shabbir Hossain; M. H. Zawawi. PMP Driven Probable Maximum Flood for 4 Dams in Sungai Perak Hydroelectric Scheme. Water Resources Development and Management 2019, 76 -89.
AMA StyleJuliana Razali, Lariyah Mohd Sidek, Mohammad Marufuzzaman, P. R. Rakhecha, M. R. M Radzi, Shabbir Hossain, M. H. Zawawi. PMP Driven Probable Maximum Flood for 4 Dams in Sungai Perak Hydroelectric Scheme. Water Resources Development and Management. 2019; ():76-89.
Chicago/Turabian StyleJuliana Razali; Lariyah Mohd Sidek; Mohammad Marufuzzaman; P. R. Rakhecha; M. R. M Radzi; Shabbir Hossain; M. H. Zawawi. 2019. "PMP Driven Probable Maximum Flood for 4 Dams in Sungai Perak Hydroelectric Scheme." Water Resources Development and Management , no. : 76-89.
A pre-release strategy is developed in this research for Sg. Perak hydroelectricity scheme which consists of four cascading dams. To handle the extreme inflow, the pre-release methodology helps the dams to provide services in safe manners. Probable maximum precipitation (PMP) is applied to revise the estimation of reservoir intake of all four dams. The release equation is tailored according to the inflow received from upstream dam release, precipitations and surface runoff. Both scenarios, with pre-release and without pre-release are carefully analyzed to measure the performance. With pre-release strategy, the model shows efficient storage management during extreme inflow situation that creates a potential flood risk and dam failure.
Shabbir Hossain; Mervin Nair; Lariyah Mohd Sidek; Mohammad Marufuzzaman. A Pre-release Concept for Reservoir Management and the Effect Analysis on Flood Control. Water Resources Development and Management 2019, 556 -566.
AMA StyleShabbir Hossain, Mervin Nair, Lariyah Mohd Sidek, Mohammad Marufuzzaman. A Pre-release Concept for Reservoir Management and the Effect Analysis on Flood Control. Water Resources Development and Management. 2019; ():556-566.
Chicago/Turabian StyleShabbir Hossain; Mervin Nair; Lariyah Mohd Sidek; Mohammad Marufuzzaman. 2019. "A Pre-release Concept for Reservoir Management and the Effect Analysis on Flood Control." Water Resources Development and Management , no. : 556-566.
Dams are large barriers built across rivers and streams in order to restrain and utilize the flow of water for numerous purposes like irrigation, generation of hydroelectricity and controlling the flood. Detention of water by large barriers creates lakes and reservoirs. However, a huge amount of water stored behind the dam can possess adverse effects on the downstream during the event of a dam break. It is very much essential for executing dam break studies to provide possible flood inundation information and impact assessment to the dam. This study was conducted to carry out hydraulic and dam break analysis of Kenyir Dam. Dam break modeling was performed under Probable Maximum Flood (PMF) scenario. MIKE 11 1-D model was used to derive breach outflow hydrograph, whereas MIKE 21 2-D model is being used for flood plain modeling and generation of inundations maps downstream of the dam. The routing of flow to the downstream area using MIKE FLOOD model was to obtain the flooded area, flood travel time and maximum flood depth. It was found from the PMF scenario, dam breach outflow hydrograph yielded the peak value of 468,352 m3/s showed potential to flood the downstream area of the dam. This will result in identifying the affected location or villages located at the downstream of Kenyir Dam. Indirectly, it will become a reference for agencies such as Jabatan Pertahanan Awam (JPAM) and Jabatan Bomba dan Penyelamat Malaysia to take safety precautions during the happening of unwilling disaster.
Mohd Rashid Mohd Shah; Lariyah Mohd Sidek; Mohd Ruzaimei Yalit; Mohammad Marufuzzaman; Hidayah Basri; Mustapha Kamal Yaacob. 2D Hydraulic Modelling of Dam Break Analysis Using MIKE FLOOD for Kenyir Dam. Water Resources Development and Management 2019, 214 -225.
AMA StyleMohd Rashid Mohd Shah, Lariyah Mohd Sidek, Mohd Ruzaimei Yalit, Mohammad Marufuzzaman, Hidayah Basri, Mustapha Kamal Yaacob. 2D Hydraulic Modelling of Dam Break Analysis Using MIKE FLOOD for Kenyir Dam. Water Resources Development and Management. 2019; ():214-225.
Chicago/Turabian StyleMohd Rashid Mohd Shah; Lariyah Mohd Sidek; Mohd Ruzaimei Yalit; Mohammad Marufuzzaman; Hidayah Basri; Mustapha Kamal Yaacob. 2019. "2D Hydraulic Modelling of Dam Break Analysis Using MIKE FLOOD for Kenyir Dam." Water Resources Development and Management , no. : 214-225.
The efficient and effective management of hydropower reservoirs is vital for hydroelectric power plant operation. Therefore, accurate and reliable flow forecasting forms an important basis for efficient real-time hydropower reservoir operation. The inflow forecast modeling process involves various computations and modeling techniques, which results in uncertainties various factors. The inflow forecasting techniques also may vary with the purpose of the system, physical characteristics and availability of data. Over the decades, there is an increasing awareness of the risk of relying on a single model among researchers and practitioners. There is clearly a potential danger in relying entirely on one rainfall-runoff model in such systems, as each model, provides, through its forecast, an important source of information that may be different in some detail from those of the other models calibrated with the same data set. Moreover, the failure of the model to yield consistent and reasonably accurate forecasts may undermine its credibility and results in poor reservoir planning and operation. Hence, consideration of the development of more flexible inflow forecasting systems is needed. These will not be based on a single substantive rainfall-runoff model, but efficient utilization of the synchronous flow forecasts from several substantive rainfall-runoff models, each having different strengths and weaknesses, to produce improved forecasts. In this study, multi-model ensemble strategies will be developed by considering outputs from a committee of models. Multi-model ensemble methods using a machine-learning algorithm combining different model outputs to the water level forecasts will be applied. The performance of the different machine-learning algorithms against the component models and accuracy improvement will be investigated.
Hidayah Basri; Mohammad Marufuzzaman; Lariyah Mohd Sidek; Norlela Ismail. Investigation of Multimodel Ensemble Performance Using Machine Learning Method for Operational Dam Safety. Water Resources Development and Management 2019, 625 -632.
AMA StyleHidayah Basri, Mohammad Marufuzzaman, Lariyah Mohd Sidek, Norlela Ismail. Investigation of Multimodel Ensemble Performance Using Machine Learning Method for Operational Dam Safety. Water Resources Development and Management. 2019; ():625-632.
Chicago/Turabian StyleHidayah Basri; Mohammad Marufuzzaman; Lariyah Mohd Sidek; Norlela Ismail. 2019. "Investigation of Multimodel Ensemble Performance Using Machine Learning Method for Operational Dam Safety." Water Resources Development and Management , no. : 625-632.
Among various dams owned by Tenaga Nasional Berhad (TNB) Malaysia, some were constructed in the early 1930s. Hence, these dams might be affected by severe storms after completion. Climate change affects the availability and distribution of water resources in space and time and the frequency of extreme rainfall events (PMP). Moreover, the probable maximum flood (PMF) designed before has increased and currently, some dams would be overtopped and caused floods in the downstream area. Thus, it is important to revise the PMP and the PMF values by using the notable storms of climate change as well as to generate flood hydrographs for water dams. In this research, Kenyir Lake is considered for sampling sites. The long record of rainfall and other meteorological data for all stations have been identified, collected, assembled, processed and used in the analyses to determine the PMP values and generation of PMF using HEC-HMS. The results showed that the inflow value for Kenyir is 23,923.1 m3/s, whereas the outflow is 5,563.2 m3/s. Finally, 5, 10, 50 and 100-year flood hydrographs for Kenyir dam are proved that it is expected to be safe from overtopping under the PMF condition founded by this research.
Lariyah Mohd Sidek; Juliana Razali; Mohammad Marufuzzaman; Mohd Ruzaimie Yalit; Mohd Rashid Bin Mohd Radzi; Shabbir Hossain. Flood Hydrograph Generation for Kenyir Dam Using Hydrological Modeling System. Water Resources Development and Management 2019, 64 -75.
AMA StyleLariyah Mohd Sidek, Juliana Razali, Mohammad Marufuzzaman, Mohd Ruzaimie Yalit, Mohd Rashid Bin Mohd Radzi, Shabbir Hossain. Flood Hydrograph Generation for Kenyir Dam Using Hydrological Modeling System. Water Resources Development and Management. 2019; ():64-75.
Chicago/Turabian StyleLariyah Mohd Sidek; Juliana Razali; Mohammad Marufuzzaman; Mohd Ruzaimie Yalit; Mohd Rashid Bin Mohd Radzi; Shabbir Hossain. 2019. "Flood Hydrograph Generation for Kenyir Dam Using Hydrological Modeling System." Water Resources Development and Management , no. : 64-75.
Flooding has become one of the most rapidly growing types of natural disasters that have spread around the globe. In December 2014, 21 fatalities cases have been recorded and more than 200,000 people have been evacuated in Malaysia due to flood. Tenaga Nasional Berhad (TNB) has provided the structure mitigation for their substations after their assets been affected by the flood. This research identified the flood risk impact on the electricity supply industries in Malaysia by using TNB as the case study. Therefore, the main objective of this study is to identify the substation that exposed to flood risk at the Klang river basin and the possible mitigation measures to reduce the flooding impact. The flood risk assessment has been conducted by overlay the existing flood hazard map for the Klang river basin by using ArcGIS. The results showed that 473 TNB’s substations located in flood-prone for 100-years ARI’s. After doing several discussions with TNB Distribution, the research identified the suitable mitigation measures and estimated value on mitigation costs needed to protect the substation. Based on this study, a simple guideline has been developed for TNB management for their future planning.
Nurul Elyeena Binti Rostam; Lariyah Mohd Sidek; Mohammad Marufuzzaman; Chow Ming Fai; Hidayah Basri; Radin Diana R. Ahmad; Gasim Hayder. Urban Flood Impact Assessment for the Electricity Supply Industry in Malaysia. Water Resources Development and Management 2019, 237 -244.
AMA StyleNurul Elyeena Binti Rostam, Lariyah Mohd Sidek, Mohammad Marufuzzaman, Chow Ming Fai, Hidayah Basri, Radin Diana R. Ahmad, Gasim Hayder. Urban Flood Impact Assessment for the Electricity Supply Industry in Malaysia. Water Resources Development and Management. 2019; ():237-244.
Chicago/Turabian StyleNurul Elyeena Binti Rostam; Lariyah Mohd Sidek; Mohammad Marufuzzaman; Chow Ming Fai; Hidayah Basri; Radin Diana R. Ahmad; Gasim Hayder. 2019. "Urban Flood Impact Assessment for the Electricity Supply Industry in Malaysia." Water Resources Development and Management , no. : 237-244.
With the improvement of technology and the growing needs of computer systems, it is needed to ensure that operating systems are able to provide the required functionalities. To provide these functionality operating systems are designed to maintain some design factors such as scalability, security, reliability, performance, memory management, energy efficiency. However, none of these factors can be achieved directly without facing any challenges. This research studied several design issues that are connected to each other in terms of providing an effective result. Therefore, this review article tried to reveal the major issues, which are independently more complex to solve at once. Finally, this research provides a guideline to overcome the challenges for future researchers by studying many research articles based on these design issues.
Mohammad Marufuzzaman; Shafin Al Karim; Saifur Rahman; Noor Mohammad Zahid; Lariyah Mohd Sidek. A review on Reliability, Security and Memory Management of Numerous Operating Systems. Indonesian Journal of Electrical Engineering and Informatics (IJEEI) 2019, 7, 577-585 .
AMA StyleMohammad Marufuzzaman, Shafin Al Karim, Saifur Rahman, Noor Mohammad Zahid, Lariyah Mohd Sidek. A review on Reliability, Security and Memory Management of Numerous Operating Systems. Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 2019; 7 (3):577-585.
Chicago/Turabian StyleMohammad Marufuzzaman; Shafin Al Karim; Saifur Rahman; Noor Mohammad Zahid; Lariyah Mohd Sidek. 2019. "A review on Reliability, Security and Memory Management of Numerous Operating Systems." Indonesian Journal of Electrical Engineering and Informatics (IJEEI) 7, no. 3: 577-585.
Power dissipation of CMOS IC is a key factor in low power applications especially in RFID tag memories. Generally, tag memories like electrically erasable programmable read-only memory (EEPROM) require an internal clock generator to regulate the internal voltage level properly. In EEPROM, oscillator circuit can generate any periodic clock signal for frequency translation. Among different types of oscillators, a current starved ring oscillator (CSRO) is described in this research due to its very low current biasing source, which in turn restrict the current flows to reduce the overall power dissipation. The designed CSRO is limited to three stages to reduce the power dissipation to meet the specs. The simulated output shows that, the improved CSRO dissipates only 4.9 mW under the power supply voltage (VDD) 1.2 V in Silterra 130 nm CMOS process. Moreover, this designed oscillator has the lowest phase noise -119.38 dBc/Hz compared to other research works. In addition, the designed CSRO is able to reduce the overall chip area, which is only 0.00114 mm2. Therefore, this proposed low power and low phase noise CSRO will be able to regulate the voltage level successfully for low power RFID tag EEPROM.
Labonnah Farzana Rahman; Mamun Bin Ibne Reaz; Mohammad Marufuzzaman. Design of Low Power and Low Phase Noise Current Starved Ring Oscillator for RFID Tag EEPROM. Informacije MIDEM - Journal of Microelectronics, Electronic Components and Materials 2019, 49, 19 -23.
AMA StyleLabonnah Farzana Rahman, Mamun Bin Ibne Reaz, Mohammad Marufuzzaman. Design of Low Power and Low Phase Noise Current Starved Ring Oscillator for RFID Tag EEPROM. Informacije MIDEM - Journal of Microelectronics, Electronic Components and Materials. 2019; 49 (1):19-23.
Chicago/Turabian StyleLabonnah Farzana Rahman; Mamun Bin Ibne Reaz; Mohammad Marufuzzaman. 2019. "Design of Low Power and Low Phase Noise Current Starved Ring Oscillator for RFID Tag EEPROM." Informacije MIDEM - Journal of Microelectronics, Electronic Components and Materials 49, no. 1: 19-23.
The comparator is the most significant component of the analog-to-digital converter, voltage regulator, switching circuits, communication blocks etc. Depending on the various design schemes, comparator performance varied upon target applications. At present, low power, high gain, area efficient and high-speed comparator designed methods are necessary for complementary metal oxide semiconductor (CMOS) industry. In this research, a low power and high gain CMOS comparator are presented which utilized two-stage differential input stages with replication of DC current source to achieve higher gain, higher phase margin, higher bandwidth, and lower power consumption. The simulated results showed that, by using a minimum power supply of 1.2 V, the comparator could generate higher gain 77.45 dB with a phase margin of 60.08°. Moreover, the modified design consumed only 2.84 µW of power with a gain bandwidth of 30.975 MHz. In addition, the chip layout area of the modified comparator is found only 0.0033 mm2.
Labonnah Farzana Rahman; Mamun Bin Ibne Reaz; Wan Irma Idayu Restu; Mohammad Marufuzzaman; Lariyah Mohd Sidek. Design and Analysis of High Gain Low Power CMOS Comparator. Indonesian Journal of Electrical Engineering and Informatics (IJEEI) 2018, 6, 471-476 .
AMA StyleLabonnah Farzana Rahman, Mamun Bin Ibne Reaz, Wan Irma Idayu Restu, Mohammad Marufuzzaman, Lariyah Mohd Sidek. Design and Analysis of High Gain Low Power CMOS Comparator. Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 2018; 6 (4):471-476.
Chicago/Turabian StyleLabonnah Farzana Rahman; Mamun Bin Ibne Reaz; Wan Irma Idayu Restu; Mohammad Marufuzzaman; Lariyah Mohd Sidek. 2018. "Design and Analysis of High Gain Low Power CMOS Comparator." Indonesian Journal of Electrical Engineering and Informatics (IJEEI) 6, no. 4: 471-476.
The recent flood event occurred in 2014 had caused disaster in Perak and Sungai Perak is the main river of Perak which is a major natural drainage system within the state. The aim of this paper is to determine the expected discharge to return period downstream for Sg. Perak River Basin in Perak by using annual maximum flow data. Flood frequency analysis is a technique to assume the flow values corresponding to specific return periods or probabilities along the river at a different site. The method involves the observed annual maximum flow discharge data to calculate statistical information such as standard deviations, mean, sum, skewness and recurrence intervals. The flood frequency analysis for Sg. Perak River Basin was used Log Pearson Type-III probability distribution method. The annual maximum peak flow series data varying over period 1961 to 2016. The probability distribution function was applied to return periods (T) where T values are 2years, 5years, 10years, 25years, 50years, and 100years generally used in flood forecasting. Flood frequency curves are plotted after the choosing the best fits probability distribution for annual peak maximum data. The results for flood frequency analysis shows that Sg. Perak at Jambatan Iskandar much higher inflow discharge which is 3714.45m3/s at the 100years return period compare to Sg. Plus at Kg Lintang and Sg. Kinta at Weir G. With this, the 100years peak flow at Sg Perak river mouth is estimated to be in the range of 4,000 m3/s. Overall, the analysis relates the expected flow discharge to return period for all tributaries of Sg. Perak River Basin.
Munir Snu; Sidek L.M; Haron Sh; Noh Ns.M; Basri H; Mohammad Marufuzzaman; Hafiz Z.M; Razad Az.A. Flood Frequency Analysis at the Downstream of Sg. Perak River Basin using Annual Maximum Flow Discharge Data. International Journal of Engineering & Technology 2018, 7, 709 -712.
AMA StyleMunir Snu, Sidek L.M, Haron Sh, Noh Ns.M, Basri H, Mohammad Marufuzzaman, Hafiz Z.M, Razad Az.A. Flood Frequency Analysis at the Downstream of Sg. Perak River Basin using Annual Maximum Flow Discharge Data. International Journal of Engineering & Technology. 2018; 7 (4.35):709-712.
Chicago/Turabian StyleMunir Snu; Sidek L.M; Haron Sh; Noh Ns.M; Basri H; Mohammad Marufuzzaman; Hafiz Z.M; Razad Az.A. 2018. "Flood Frequency Analysis at the Downstream of Sg. Perak River Basin using Annual Maximum Flow Discharge Data." International Journal of Engineering & Technology 7, no. 4.35: 709-712.
One of the potential risks attributed to the occurrence of dam overtopping and dam wall failure due to the inadequacy of the spillway capacities is the loss of life and property damages in the downstream area. The current practices in most countries in minimizing these risks are by analyzing the extreme precipitation that leads to extreme flood. Extreme precipitation is best known as Probable Maximum Precipitation (PMP) and this estimation is useful in determining Probable Maximum Flood (PMF) in reviewing the spillway adequacy of dam structures. This paper presented PMP estimations using two approaches; physical method (Hydro-meteorological Method) and statistical approach (Hershfield’s Method) at the Sungai Perak Hydroelectric Scheme that consists of four cascading dams namely Temengor dam, Bersia dam, Kenering dam and Chenderoh dam. The highest PMP estimates from these two methods will be chosen as the rainfall input to establish PMF hydrographs. Estimations using Hydro-meteorological generalized map produces 40-50% higher estimates compared to Hersfield’s method with the PMP values of 550mm (1hours), 600mm (3hours), 800mm (6hours), 820mm (12hours), 1300mm (24hour) and 1600mm (72 hours). Accepting the Hydro-meteorological Method to determine PMF values for this hydroelectric scheme may be the best course since the estimations of the extreme precipitations using this method are the highest.
Razali J; Sidek L.M; Rashid M.A; Hussein A; Mohammad Marufuzzaman. Probable Maximum Precipitation Comparison using Hershfield’s Statistical Method and Hydro-Meteorological Method for Sungai Perak Hydroelectric Scheme. International Journal of Engineering & Technology 2018, 7, 603 -608.
AMA StyleRazali J, Sidek L.M, Rashid M.A, Hussein A, Mohammad Marufuzzaman. Probable Maximum Precipitation Comparison using Hershfield’s Statistical Method and Hydro-Meteorological Method for Sungai Perak Hydroelectric Scheme. International Journal of Engineering & Technology. 2018; 7 (4.35):603-608.
Chicago/Turabian StyleRazali J; Sidek L.M; Rashid M.A; Hussein A; Mohammad Marufuzzaman. 2018. "Probable Maximum Precipitation Comparison using Hershfield’s Statistical Method and Hydro-Meteorological Method for Sungai Perak Hydroelectric Scheme." International Journal of Engineering & Technology 7, no. 4.35: 603-608.
Particle swarm optimisation (PSO) is a very well-known method and has a strong background in optimisation filed to solve different non-linear, complex problems especially in creating the reservoir release policies. This research modified the particle updating process of the standard PSO algorithm by including the passive congregation (PC) theory. The passive congregation theory of natural being’s social behaviour is adopted to updated the standard PSO algorithm and used to develop and optimise a reservoir release policy for monthly basis. The inflow data to the dam/reservoir has categorised into three different categories (High, medium and low). The problem is formulated on correspondence to the release and capacity constraints. Water deficit from the release is aimed to be minimised and formulated as the main objective function. Monthly releases are taken as the main objective variables and are essentially control the water deficit of the process. The standard form of PSO then compared with the updated version and the results is analysed by adopting different performance measuring indicators such as reliability, vulnerability and resilience. The results showed that the updated PSO-PC is more capable of the standard PSO (5% more reliable; 0.02 less vulnerable and 1.5 more resilience) in providing optimum results for a reservoir system.
Shabbir Hossain; Lariyah Bte Mohd Sidek; Mohammad Marufuzzaman; M. H. Zawawi. Passive Congregation Theory for Particle Swarm Optimization (PSO): an Application in Reservoir System Operation. International Journal of Engineering & Technology 2018, 7, 383 -387.
AMA StyleShabbir Hossain, Lariyah Bte Mohd Sidek, Mohammad Marufuzzaman, M. H. Zawawi. Passive Congregation Theory for Particle Swarm Optimization (PSO): an Application in Reservoir System Operation. International Journal of Engineering & Technology. 2018; 7 (4.35):383-387.
Chicago/Turabian StyleShabbir Hossain; Lariyah Bte Mohd Sidek; Mohammad Marufuzzaman; M. H. Zawawi. 2018. "Passive Congregation Theory for Particle Swarm Optimization (PSO): an Application in Reservoir System Operation." International Journal of Engineering & Technology 7, no. 4.35: 383-387.
The transimpedance amplifier (TIA) is the most favorable and efficient choice for the front-end preamplifier in optical fiber communication systems. High gain and low input noise to amplify weak and susceptible input signals are the two major advantages of TIAs. Moreover, to realize a low-cost solution, a TIA should be implemented in a complementary metal-oxide semiconductor (CMOS) process and should occupy a small area. This paper presents a low-cost TIA for optical receivers in a 180-nm CMOS process. The proposed TIA combines both open-loop and closed-loop topologies. A capacitance isolation method is used for noise and bandwidth optimization. Finally, capacitive peaking is used for bandwidth enhancement. Moreover, the proposed TIA is designed without using any inductors for bandwidth enhancement as well as for reducing chip area. Simulation results show that the proposed TIA works up to a frequency of 2.2 GHz with a transimpedance gain of 54.4 dBΩ. The TIA consumes only 19.7 mW with a supply voltage of 1.8 V, and the active area of the proposed circuit is only 0.003 mm2.
Mohammad Marufuzzaman; Mamun Bin Ibne Reaz; Lye Suet Yeng; Labonnah Farzana Rahman; Torikul Islam Badal. Design of Low-Cost Transimpedance Amplifier for Optical Receiver. Transactions on Electrical and Electronic Materials 2018, 19, 7 -13.
AMA StyleMohammad Marufuzzaman, Mamun Bin Ibne Reaz, Lye Suet Yeng, Labonnah Farzana Rahman, Torikul Islam Badal. Design of Low-Cost Transimpedance Amplifier for Optical Receiver. Transactions on Electrical and Electronic Materials. 2018; 19 (1):7-13.
Chicago/Turabian StyleMohammad Marufuzzaman; Mamun Bin Ibne Reaz; Lye Suet Yeng; Labonnah Farzana Rahman; Torikul Islam Badal. 2018. "Design of Low-Cost Transimpedance Amplifier for Optical Receiver." Transactions on Electrical and Electronic Materials 19, no. 1: 7-13.
Mohammad Marufuzzaman; Mamun Bin Ibne Reaz; Labonnah Farzana Rahman; Araf Farayez. A Location Based Sequence Prediction Algorithm for Determining Next Activity in Smart Home. Journal of Engineering Science and Technology Review 2017, 10, 161 -165.
AMA StyleMohammad Marufuzzaman, Mamun Bin Ibne Reaz, Labonnah Farzana Rahman, Araf Farayez. A Location Based Sequence Prediction Algorithm for Determining Next Activity in Smart Home. Journal of Engineering Science and Technology Review. 2017; 10 (2):161-165.
Chicago/Turabian StyleMohammad Marufuzzaman; Mamun Bin Ibne Reaz; Labonnah Farzana Rahman; Araf Farayez. 2017. "A Location Based Sequence Prediction Algorithm for Determining Next Activity in Smart Home." Journal of Engineering Science and Technology Review 10, no. 2: 161-165.
Crystal oscillators are widely used in most of the electronic components to keep precisely in time. Crystal oscillators take many forms in the military and communications market which nowadays they are expanding into the space and beyond. It has been used to achieve efficiently in a communication systems such as electronic warfare, system's guidance and navigation purpose. Low power crystal oscillator need for meet wireless communications and miniaturize portable devices. The objective in this research work is to design a low power crystal oscillator at 20MHz which produced low power dissipation at 514.5μW and exhibit phase noise of −60dBc/Hz at 1MHz offset. The proposed crystal oscillator is designed in TSMC 0.13μm standard CMOS process using Mentor Graphics environment.
Mohammad Marufuzzaman; Nurfadhila Alias; Labonnah F. Rahman; Mamun Bin Ibne Reaz; Torikul Islam Badal. Design of low power crystal oscillator in 0.13μm CMOS technology. 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering (ICAEES) 2017, 194 -198.
AMA StyleMohammad Marufuzzaman, Nurfadhila Alias, Labonnah F. Rahman, Mamun Bin Ibne Reaz, Torikul Islam Badal. Design of low power crystal oscillator in 0.13μm CMOS technology. 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering (ICAEES). 2017; ():194-198.
Chicago/Turabian StyleMohammad Marufuzzaman; Nurfadhila Alias; Labonnah F. Rahman; Mamun Bin Ibne Reaz; Torikul Islam Badal. 2017. "Design of low power crystal oscillator in 0.13μm CMOS technology." 2016 International Conference on Advances in Electrical, Electronic and Systems Engineering (ICAEES) , no. : 194-198.
Labonnah Farzana Rahman; Mamun Bin Ibne Reaz; Mohammad Marufuzzaman; Mujahidun Bin Mashur; Torikul Islam Badal. Evaluation of Low Power and High Speed CMOS Current Comparators. Transactions on Electrical and Electronic Materials 2016, 17, 317 -328.
AMA StyleLabonnah Farzana Rahman, Mamun Bin Ibne Reaz, Mohammad Marufuzzaman, Mujahidun Bin Mashur, Torikul Islam Badal. Evaluation of Low Power and High Speed CMOS Current Comparators. Transactions on Electrical and Electronic Materials. 2016; 17 (6):317-328.
Chicago/Turabian StyleLabonnah Farzana Rahman; Mamun Bin Ibne Reaz; Mohammad Marufuzzaman; Mujahidun Bin Mashur; Torikul Islam Badal. 2016. "Evaluation of Low Power and High Speed CMOS Current Comparators." Transactions on Electrical and Electronic Materials 17, no. 6: 317-328.