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Dr. Yusri Yusup
Universiti Sains Malaysia

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0 Atmospheric Physics
0 Atmospheric Boundary Layer
0 Eddy covariance
0 Micrometeorology
0 Air pollution modeling

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Review
Published: 22 April 2021 in IEEE Access
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An early and reliable estimation of crop yield is essential in quantitative and financial evaluation at the field level for determining strategic plans in agricultural commodities for import-export policies and doubling farmer’s incomes. Crop yield predictions are carried out to estimate higher crop yield through the use of machine learning algorithms which are one of the challenging issues in the agricultural sector. Due to this developing significance of crop yield prediction, this article provides an exhaustive review on the use of machine learning algorithms to predict crop yield with special emphasis on palm oil yield prediction. Initially, the current status of palm oil yield around the world is presented, along with a brief discussion on the overview of widely used features and prediction algorithms. Then, the critical evaluation of the state-of-the-art machine learning-based crop yield prediction, machine learning application in the palm oil industry and comparative analysis of related studies are presented. Consequently, a detailed study of the advantages and difficulties related to machine learning-based crop yield prediction and proper identification of current and future challenges to the agricultural industry is presented. The potential solutions are additionally prescribed in order to alleviate existing problems in crop yield prediction. Since one of the major objectives of this study is to explore the future perspectives of machine learning-based palm oil yield prediction, the areas including application of remote sensing, plant’s growth and disease recognition, mapping and tree counting, optimum features and algorithms have been broadly discussed. Finally, a prospective architecture of machine learning-based palm oil yield prediction has been proposed based on the critical evaluation of existing related studies. This technology will fulfill its promise by performing new research challenges in the analysis of crop yield prediction and the development of an extremely effective model for the prediction of palm oil yields with the most minimal computational difficulty.

ACS Style

Mamunur Rashid; Bifta Sama Bari; Yusri Yusup; Mohamad Anuar Kamaruddin; Nuzhat Khan. A Comprehensive Review of Crop Yield Prediction Using Machine Learning Approaches With Special Emphasis on Palm Oil Yield Prediction. IEEE Access 2021, 9, 63406 -63439.

AMA Style

Mamunur Rashid, Bifta Sama Bari, Yusri Yusup, Mohamad Anuar Kamaruddin, Nuzhat Khan. A Comprehensive Review of Crop Yield Prediction Using Machine Learning Approaches With Special Emphasis on Palm Oil Yield Prediction. IEEE Access. 2021; 9 ():63406-63439.

Chicago/Turabian Style

Mamunur Rashid; Bifta Sama Bari; Yusri Yusup; Mohamad Anuar Kamaruddin; Nuzhat Khan. 2021. "A Comprehensive Review of Crop Yield Prediction Using Machine Learning Approaches With Special Emphasis on Palm Oil Yield Prediction." IEEE Access 9, no. : 63406-63439.

Research article
Published: 18 November 2020 in Environmental Economics and Policy Studies
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Reducing the negative effects of vehicle emissions is one of the main priorities for governments worldwide. Comprehensive understanding of the costs and impacts associated with emissions would help government decision makers establish policies that allow their citizens to make decisions to reduce vehicle use externalities and maximize the overall benefits to government and society. Countries worldwide have pre-set goals regarding maximum average emissions. However, these goals are nearly impossible to realize without market interventions. Therefore, many governments have introduced taxes to guide people towards reducing vehicle emissions. The purpose of this study was to explore the mediating role of driver motivations in the effect of the following tax-related emission factors on vehicle exhaust emissions: (progressive engine size tax, progressive vehicle emissions tax, progressive vehicle age tax, and progressive vehicle kilometres travelled tax). The study used a quantitative approach of two questionnaires-one paper-based and one internet-based-to collect primary data. Smart PLS 3.2.7 was then used to analyse the data. The study found that the progressive taxes on engine size, vehicle age, and vehicle emissions, if imposed, will increase driver motivations to buy vehicles with smaller engines, replace or maintain old polluting vehicles, or fix vehicle emission problems. This study contributes to the literature by achieving its theoretical and practical objectives of providing a clear message to governmental practitioners and any related bodies that progressive taxes can increase driver motivations to reduce vehicle emissions.

ACS Style

Yasser A. Al-Rawi; Mohammed Harith Imlus; Yusri Yusup; Sofri Bin Yahya. Factors affecting vehicle exhaust emissions, driver motivations as a mediator. Environmental Economics and Policy Studies 2020, 23, 361 -407.

AMA Style

Yasser A. Al-Rawi, Mohammed Harith Imlus, Yusri Yusup, Sofri Bin Yahya. Factors affecting vehicle exhaust emissions, driver motivations as a mediator. Environmental Economics and Policy Studies. 2020; 23 (2):361-407.

Chicago/Turabian Style

Yasser A. Al-Rawi; Mohammed Harith Imlus; Yusri Yusup; Sofri Bin Yahya. 2020. "Factors affecting vehicle exhaust emissions, driver motivations as a mediator." Environmental Economics and Policy Studies 23, no. 2: 361-407.

Communication
Published: 12 November 2020 in Sustainability
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We analyzed real-time measurements of atmospheric carbon dioxide (CO2), with total electricity production and nationwide restrictions phases in China, the United States of America, Europe, and India due to the novel coronavirus COVID-19 pandemic and its effects on atmospheric CO2. A decline of 3.7% in the global energy demand at about 150 million tonnes of oil equivalent (Mtoe) in the first quarter (Q1) of 2020 was recorded compared to Q1 2019 due to the cutback on international economic activities. Our results showed that: (1) electricity production for the same period in 2018, 2019, and 2020 shrunk at an offset of 9.20%, which resulted in a modest reduction (−1.79%) of atmospheric CO2 to the 2017–2018 CO2 level; (2) a non-seasonal, abrupt, and brief atmospheric CO2 decrease by 0.85% in mid-February 2020 could be due to Phase 1 restrictions in China. The results indicate that electricity production reduction is significant to the short-term variability of atmospheric CO2. It also highlights China’s significant contribution to atmospheric CO2, which suggests that, without the national restriction of activities, CO2 concentration is set to exceed 2019 by 1.79%. Due to the lockdown, it quickly decreased and sustained for two months. The results underscore atmospheric CO2 reductions on the monthly time scale that can be achieved if electricity production from combustible sources was slashed. The result could be useful for cost-benefit analyses on the decrease in electricity production of combustible sources and the impact of this reduction on atmospheric CO2.

ACS Style

Yusri Yusup; Nur Ramli; John Kayode; Chee Yin; Sabiq Hisham; Hassim Mohamad Isa; Mardiana Ahmad. Atmospheric Carbon Dioxide and Electricity Production Due to Lockdown. Sustainability 2020, 12, 9397 .

AMA Style

Yusri Yusup, Nur Ramli, John Kayode, Chee Yin, Sabiq Hisham, Hassim Mohamad Isa, Mardiana Ahmad. Atmospheric Carbon Dioxide and Electricity Production Due to Lockdown. Sustainability. 2020; 12 (22):9397.

Chicago/Turabian Style

Yusri Yusup; Nur Ramli; John Kayode; Chee Yin; Sabiq Hisham; Hassim Mohamad Isa; Mardiana Ahmad. 2020. "Atmospheric Carbon Dioxide and Electricity Production Due to Lockdown." Sustainability 12, no. 22: 9397.

Commentary
Published: 10 September 2020 in Sustainability
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Climate change has become a considerable concern for humanity during this anthropocentric era. Scientists believe that the rate of global warming and climate change varies directly with the increase in the concentration of greenhouse gases, particularly carbon dioxide. Urbanization is happening at a higher rate in this era than in any other generation. It was reported that the building sector plays a critical role in the emission of carbon dioxide (CO2) into the atmosphere. Construction of buildings, operation, and utilization of the built environment has led to emissions of a large number of CO2 into the ambient air. Various issues and challenges arise from the building sector in reducing CO2 emissions. The exploitation of non-renewable energy resources, poor building design, and lack of sustainability consideration in urbanization has been holding back CO2 emission mitigation measures in the building sector. Therefore, CO2 emission mitigation plans and schemes are necessary alongside standardized frameworks and guidelines. The strategies to reduce CO2 in the building sector are enforcing standards and policy, conducting impact assessment, adopting low carbon technology, and restricting energy utilization. All stakeholders must play their roles efficiently to reduce CO2 emissions and aid in the fight against climate change.

ACS Style

Khozema Ahmed Ali; Mardiana Ahmad; Yusri Yusup. Issues, Impacts, and Mitigations of Carbon Dioxide Emissions in the Building Sector. Sustainability 2020, 12, 7427 .

AMA Style

Khozema Ahmed Ali, Mardiana Ahmad, Yusri Yusup. Issues, Impacts, and Mitigations of Carbon Dioxide Emissions in the Building Sector. Sustainability. 2020; 12 (18):7427.

Chicago/Turabian Style

Khozema Ahmed Ali; Mardiana Ahmad; Yusri Yusup. 2020. "Issues, Impacts, and Mitigations of Carbon Dioxide Emissions in the Building Sector." Sustainability 12, no. 18: 7427.

Journal article
Published: 08 August 2020 in Alexandria Engineering Journal
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Over time, urban dwellers have become increasingly concerned with the thermal characteristics in their neighbourhood. Modern Asian cities with their environmental diversity have introduced complexity to urban heat island (UHI) predictions. This research aimed to discover the relative contribution of different environmental and anthropogenic parameters to the UHI intensity in Kuala Lumpur, Malaysia. Four days of temperature and wind data were collected from seven sites representing various land covers inside and outside the city. Besides, humidity and solar radiation time traces were gathered from selected sites. Delicate weather measuring equipment, such as ultrasonic anemometers, were used with existing equipment at Malaysia’s Meteorological Department (Met. Department). Results showed a 6 °C UHI intensity at nighttime and a 4 °C urban cool island intensity at daytime. The effect of land cover on UHI dominates the effects of other factors, including wind speed and turbulence. This modern Asian urban configuration consisting of a few high-rise buildings surrounded by plant and water patches mitigates the UHI through evapotranspiration and shading.

ACS Style

Zambri Harun; Eslam Reda; Alaa Abdulrazzaq; Ashraf Amer Abbas; Yusri Yusup; Sheikh A. Zaki. Urban heat island in the modern tropical Kuala Lumpur: Comparative weight of the different parameters. Alexandria Engineering Journal 2020, 59, 4475 -4489.

AMA Style

Zambri Harun, Eslam Reda, Alaa Abdulrazzaq, Ashraf Amer Abbas, Yusri Yusup, Sheikh A. Zaki. Urban heat island in the modern tropical Kuala Lumpur: Comparative weight of the different parameters. Alexandria Engineering Journal. 2020; 59 (6):4475-4489.

Chicago/Turabian Style

Zambri Harun; Eslam Reda; Alaa Abdulrazzaq; Ashraf Amer Abbas; Yusri Yusup; Sheikh A. Zaki. 2020. "Urban heat island in the modern tropical Kuala Lumpur: Comparative weight of the different parameters." Alexandria Engineering Journal 59, no. 6: 4475-4489.

Journal article
Published: 29 July 2020 in Estuarine, Coastal and Shelf Science
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In this study, we examined the albedo's dependence on clearness index (Kt) based on measured global radiation data and phytoplankton variability influence represented by chlorophyll (a) concentration at the upper layers over the Malacca Strait. Half-hourly global solar radiation (5°26′53″ N, 100°11′36″ E) measurement over the period from January to October 2017 was analyzed to investigate the correlation between clearness index and ocean surface albedo (OSA) in case of phytoplankton influence in Malacca Strait coastal waters. Three days (January 29, February 26 and March 22, 2017) with high irradiation values were selected for daily OSA variability study. The parameterization includes bio-optical analytical modelling based on apparent optical properties and photosynthetically active range (PAR) estimation. Daily timescale analysis of spectral albedo in Malacca Strait enables detail examination for the chlorophyll maximum absorption wavelength (λ = 440 nm) parameterization. OSA diurnal variability was estimated using Jin et al. scheme, which is based on the separation of albedo components (direct and diffuse). Hourly changes in radiation (including Kt) and solar position properties provide valuable information to investigate the pathways of daily spectral albedo in case of small concentrations of chlorophyll (a) and clearness index parameterization.

ACS Style

Philipp Golovchenko; Yusri Yusup; Liew Juneng; Fredolin T. Tangang. Daily spectral ocean surface albedo (OSA) parameterization in case of clearness index (Kt) and phytoplankton variability in Malacca Strait. Estuarine, Coastal and Shelf Science 2020, 244, 106939 .

AMA Style

Philipp Golovchenko, Yusri Yusup, Liew Juneng, Fredolin T. Tangang. Daily spectral ocean surface albedo (OSA) parameterization in case of clearness index (Kt) and phytoplankton variability in Malacca Strait. Estuarine, Coastal and Shelf Science. 2020; 244 ():106939.

Chicago/Turabian Style

Philipp Golovchenko; Yusri Yusup; Liew Juneng; Fredolin T. Tangang. 2020. "Daily spectral ocean surface albedo (OSA) parameterization in case of clearness index (Kt) and phytoplankton variability in Malacca Strait." Estuarine, Coastal and Shelf Science 244, no. : 106939.

Journal article
Published: 02 April 2020 in Urban Climate
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An increasingly recurring recent phenomenon in tropical urban areas is the occurrence of strong winds associated with rainfall. This study investigated the characteristics of strong winds during similar rainfall events. Wind speeds and directions were measured at a sampling frequency of 10 Hz with a high-frequency three-dimensional sonic anemometer from September 2015 until January 2016 during the northeast monsoon season in Kuala Lumpur, Malaysia. Rainfall events were categorised as non-rainfall, during rainfall, before rainfall, and after rainfall. Rainfall amounts were classified as non-rainfall, heavy rainfall, and heavy shower. The results indicated that strong winds (>6.0 m s−1) with slight turbulence (0.3 turbulence intensity) typically occurred 10 min before rainfall during the day from 15:00 to 17:00 LT. Wind speeds began to decline within the first 5 min of rainfall until after the rain had stopped with a range of 2.0–5.0 m s−1. Significantly, heavy rainfall occurred with wind speeds of 8.0–9.5 m s−1 at almost double the likelihood compared to non-rainfall conditions. These findings provide useful information for the design and construction of buildings with good airflow and strong structures in urban areas.

ACS Style

Husna Aini Swarno; Sheikh Ahmad Zaki; Aya Hagishima; Yusri Yusup. Characteristics of wind speed during rainfall event in the tropical urban city. Urban Climate 2020, 32, 100620 .

AMA Style

Husna Aini Swarno, Sheikh Ahmad Zaki, Aya Hagishima, Yusri Yusup. Characteristics of wind speed during rainfall event in the tropical urban city. Urban Climate. 2020; 32 ():100620.

Chicago/Turabian Style

Husna Aini Swarno; Sheikh Ahmad Zaki; Aya Hagishima; Yusri Yusup. 2020. "Characteristics of wind speed during rainfall event in the tropical urban city." Urban Climate 32, no. : 100620.

Original paper
Published: 13 January 2020 in Theoretical and Applied Climatology
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Understanding air-water interactions is critical to establishing the role of inland water bodies in regulating local and regional weather so that more accurate parameterizations of flux exchange in numerical weather models can be achieved. Wind-induced mixing actively alters environmental variables, leading to changes in turbulent exchanges of latent heat (LE) and sensible heat (H) fluxes above water surfaces. It remains extensively unexplored as to how winds in different wind speed ranges modulate coupling of different variables, which in turn regulates LE and H. Here, we analyze 28-month eddy covariance data collected over a large reservoir. We categorize the dataset into four wind classes with different wind speed ranges: I (< 2.32 m s−1), II (2.32–3.69 m s−1), III (3.69–5.13 m s−1), and IV (> 5.13 m s−1). The enhanced mechanical mixing promotes LE and H with the increased wind classes due to the increased sensitivity to Δe and ΔT despite the reduced role of atmospheric stability. Hence, the highest LE and H occur in IV, under moderately unstable and stable conditions. Overall, the bulk transfer coefficients behave similarly under a certain stability condition across all wind classes while the similarity theory systematically underestimates their magnitudes. These results have important applications in improving parameterization schemes to estimate fluxes over water surfaces in numerical models.

ACS Style

Yusri Yusup; Heping Liu. Effects of persistent wind speeds on turbulent fluxes in the water-atmosphere interface. Theoretical and Applied Climatology 2020, 140, 313 -325.

AMA Style

Yusri Yusup, Heping Liu. Effects of persistent wind speeds on turbulent fluxes in the water-atmosphere interface. Theoretical and Applied Climatology. 2020; 140 (1-2):313-325.

Chicago/Turabian Style

Yusri Yusup; Heping Liu. 2020. "Effects of persistent wind speeds on turbulent fluxes in the water-atmosphere interface." Theoretical and Applied Climatology 140, no. 1-2: 313-325.

Preprint
Published: 05 September 2019
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Mangroves act as sinks to a variety of anthropogenic marine debris (AMD) forms. However, knowledge of their distribution and accumulation dynamics is limited. To address this shortfall, abundance, sorting, and diversity parameters of AMD were evaluated across the canopy of Penang’s urban and peri-urban mangroves. Two urban and two peri-urban mangroves were sampled at different periods over 2 months, with differences constrained by possible changes in their wind fields, and neap-spring tidal development. Debris were counted and classified across transects parallel to the coastline at progressively higher water marks. Plastics made up most of the AMD across all sites. More AMD was retained in the urban sites, consistent with their larger resident population density. Diversity of debris forms were consistent with the type of land use and population livelihood in each area. The greatest differences in abundance, diversity, and evenness were recorded between the lower tidal zones and the remaining inner transects consistent with sorting towards the coastal edge in favour of plastic items. Overall, differences across transects and sites suggested: 1) the canopy and root structure within the main body of the mangrove efficiently retained debris with little sorting; and 2) debris deposited closer to the edge is increasingly sorted and lost to the water body in favour of smaller plastic items, for a constant wind field and irrespective of neap-spring phases. The findings show that mangrove areas are vulnerable to a constant build of potentially harmful debris with selective leakage and sorting of materials back to the water body closer to their coastal edges. For Penang Island, the study highlights the areas in need of attention and prioritization, lists the types of debris needing proper management, and will aid in the future monitoring, mitigation and/or rehabilitation of these sensitive ecosystems.

ACS Style

Chee Su Yin; Yee Jean Chai; Danielle Carey; Yusri Yusup; John Barry Gallagher; Su Yin Chee; Jean Chai Yee. Anthropogenic marine debris and its dynamics across peri-urban and urban mangroves on Penang Island, Malaysia. 2019, 756106 .

AMA Style

Chee Su Yin, Yee Jean Chai, Danielle Carey, Yusri Yusup, John Barry Gallagher, Su Yin Chee, Jean Chai Yee. Anthropogenic marine debris and its dynamics across peri-urban and urban mangroves on Penang Island, Malaysia. . 2019; ():756106.

Chicago/Turabian Style

Chee Su Yin; Yee Jean Chai; Danielle Carey; Yusri Yusup; John Barry Gallagher; Su Yin Chee; Jean Chai Yee. 2019. "Anthropogenic marine debris and its dynamics across peri-urban and urban mangroves on Penang Island, Malaysia." , no. : 756106.

Short research and discussion article
Published: 18 June 2019 in Environmental Science and Pollution Research
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Malaysia is the second-largest producer and exporter of palm oil amounting to 39% of world palm oil production and 44% of world exports (MPOB, 2014). An enormous amount of palm oil mill effluent is released during palm oil milling, and the effluent causes a major odor problem. Many methods, such as biofiltering, can be adopted to manage the malodor. However, these methods are expensive and require high maintenance. The separation distance method can be used as an alternative due to its low cost and effectiveness. This research was conducted to verify the performance of three different methods, namely, in-field monitoring by using an olfactometer, CALPUFF model, and Gaussian plume model. Given that no research has compared the three methods, this study examined the effectiveness of the methods and determined which among them is suitable for use in Malaysia. The appropriate separation distances were 1.3 km for in-field monitoring, 1.2 km for the CALPUFF model, and 0.5 for the Gaussian plume model. These different values of separation distance were due to the various approaches involved in each method. This research determined an appropriate means to establish a proper separation distance for reducing odor nuisance in areas around palm oil mills.

ACS Style

Nurashikin Yaacof; Nastaein Qamaruz Zaman; Yusri Yusup; Syafinah Yusoff. Establishment of suitable separation distance by using different methods for malodor mitigation from palm oil mill. Environmental Science and Pollution Research 2019, 26, 24286 -24299.

AMA Style

Nurashikin Yaacof, Nastaein Qamaruz Zaman, Yusri Yusup, Syafinah Yusoff. Establishment of suitable separation distance by using different methods for malodor mitigation from palm oil mill. Environmental Science and Pollution Research. 2019; 26 (23):24286-24299.

Chicago/Turabian Style

Nurashikin Yaacof; Nastaein Qamaruz Zaman; Yusri Yusup; Syafinah Yusoff. 2019. "Establishment of suitable separation distance by using different methods for malodor mitigation from palm oil mill." Environmental Science and Pollution Research 26, no. 23: 24286-24299.

Journal article
Published: 01 May 2019 in Regional Studies in Marine Science
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The tropical coastal ocean is a vital jigsaw-piece to understanding exchanges of energy, moisture, and carbon between the atmosphere and the ocean biospheres. Latent and sensible heat fluxes, micro-climate variables, and surface water temperature data in the atmospheric surface layer were collected using an instrumented tower at a tropical coastal ocean (5 ∘28’6”N, 100∘12’1”E). The instrumented tower was installed on a stainless-steel platform extending a pre-existing pier. Data were collected for two years, i.e., November 2015 to October 2017, which encompassed two annual cycles of the Monsoons. The first objective of this work is to describe the Monsoonal and annual patterns of latent (LE) and sensible (H) heats while the second objective is to link the micro-climate variables to the energy fluxes on the seasonal and annual time scales. The inter-annual variation of energy input into the study is minimal (3% and 4% in the values recorded for the RG and Rn). The average albedo was 0.29 and the Bowen ratio was 0.11. Annual changes in LE and H between the two years were apparent both at 14% increased and decreased, respectively. LE is largely modulated by the Monsoons, where it is higher in the Northeast Monsoon (dry and hot) than the Southwest Monsoon (wet and cold). Conversely, H did not exhibit appreciably changes with the Monsoon and mostly followed the downward Rn trend. Variations between Monsoons are ten times larger than between years, thus highlighting its significance in controlling the regional conditions. Between the Northeast and Southwest Monsoons, the change in LE, i.e., ΔLE recorded was −30% while that of H, i.e., ΔH was +18%. These results have important applications in improving numerical weather models and closing the energy budget.

ACS Style

Yusri Yusup; John Stephen Kayode; Abbas Alkarkhi. Monsoonal and annual energy fluxes variations in the atmospheric surface layer over a coastal region of the tropical ocean. Regional Studies in Marine Science 2019, 29, 100707 .

AMA Style

Yusri Yusup, John Stephen Kayode, Abbas Alkarkhi. Monsoonal and annual energy fluxes variations in the atmospheric surface layer over a coastal region of the tropical ocean. Regional Studies in Marine Science. 2019; 29 ():100707.

Chicago/Turabian Style

Yusri Yusup; John Stephen Kayode; Abbas Alkarkhi. 2019. "Monsoonal and annual energy fluxes variations in the atmospheric surface layer over a coastal region of the tropical ocean." Regional Studies in Marine Science 29, no. : 100707.

Journal article
Published: 25 April 2019 in Journal of Physical Science
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ACS Style

Yin Mun H’Ng; Malaysia Universiti Teknologi Malaysia; Yusri Yusup; Sheikh Ahmad Zaki. Energy Balance Analysis and Turbulence Profile of a Darrieus-type Vertical Axis Wind Turbine. Journal of Physical Science 2019, 30, 47 -70.

AMA Style

Yin Mun H’Ng, Malaysia Universiti Teknologi Malaysia, Yusri Yusup, Sheikh Ahmad Zaki. Energy Balance Analysis and Turbulence Profile of a Darrieus-type Vertical Axis Wind Turbine. Journal of Physical Science. 2019; 30 (1):47-70.

Chicago/Turabian Style

Yin Mun H’Ng; Malaysia Universiti Teknologi Malaysia; Yusri Yusup; Sheikh Ahmad Zaki. 2019. "Energy Balance Analysis and Turbulence Profile of a Darrieus-type Vertical Axis Wind Turbine." Journal of Physical Science 30, no. 1: 47-70.

Data article
Published: 03 April 2019 in Data in Brief
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This article presents data relating to the changes in absorbance of glucose during the acid hydrolysis of sugarcane bagasse using sulphuric acid. This dataset also contains the moisture content, volatile matter, and fixed carbon of the sugarcane bagasse. The results of the analysis of variance (ANOVA) and the interaction plots between reaction time, temperature, and ratio are also presented. The data revealed that absorbance of glucose is increasing by increasing the temperature and time. Moreover, the best ratio for the highest absorbance of glucose was achieved at 1:20.

ACS Style

Abbas F.M. Alkarkhi; Wasin A.A. Alqaraghuli; Yusri Yusup; Salem S. Abu Amr; M.N. Mahmud; Nugroho Dewayantoa. Data on the absorbance of glucose during the acid hydrolysis of the sugarcane bagasse. Data in Brief 2019, 24, 103894 .

AMA Style

Abbas F.M. Alkarkhi, Wasin A.A. Alqaraghuli, Yusri Yusup, Salem S. Abu Amr, M.N. Mahmud, Nugroho Dewayantoa. Data on the absorbance of glucose during the acid hydrolysis of the sugarcane bagasse. Data in Brief. 2019; 24 ():103894.

Chicago/Turabian Style

Abbas F.M. Alkarkhi; Wasin A.A. Alqaraghuli; Yusri Yusup; Salem S. Abu Amr; M.N. Mahmud; Nugroho Dewayantoa. 2019. "Data on the absorbance of glucose during the acid hydrolysis of the sugarcane bagasse." Data in Brief 24, no. : 103894.

Journal article
Published: 11 December 2018 in Sensors
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Conventional air quality monitoring systems, such as gas analysers, are commonly used in many developed and developing countries to monitor air quality. However, these techniques have high costs associated with both installation and maintenance. One possible solution to complement these techniques is the application of low-cost air quality sensors (LAQSs), which have the potential to give higher spatial and temporal data of gas pollutants with high precision and accuracy. In this paper, we present DiracSense, a custom-made LAQS that monitors the gas pollutants ozone (O3), nitrogen dioxide (NO2), and carbon monoxide (CO). The aim of this study is to investigate its performance based on laboratory calibration and field experiments. Several model calibrations were developed to improve the accuracy and performance of the LAQS. Laboratory calibrations were carried out to determine the zero offset and sensitivities of each sensor. The results showed that the sensor performed with a highly linear correlation with the reference instrument with a response-time range from 0.5 to 1.7 min. The performance of several calibration models including a calibrated simple equation and supervised learning algorithms (adaptive neuro-fuzzy inference system or ANFIS and the multilayer feed-forward perceptron or MLP) were compared. The field calibration focused on O3 measurements due to the lack of a reference instrument for CO and NO2. Combinations of inputs were evaluated during the development of the supervised learning algorithm. The validation results demonstrated that the ANFIS model with four inputs (WE OX, AE OX, T, and NO2) had the lowest error in terms of statistical performance and the highest correlation coefficients with respect to the reference instrument (0.8 < r < 0.95). These results suggest that the ANFIS model is promising as a calibration tool since it has the capability to improve the accuracy and performance of the low-cost electrochemical sensor.

ACS Style

Kemal Maulana Alhasa; Mohd Shahrul Mohd Nadzir; Popoola Olalekan; Mohd Talib Latif; Yusri Yusup; Mohammad Rashed Iqbal Faruque; Fatimah Ahamad; Haris Hafizal Abd. Hamid; Kadaruddin Aiyub; Sawal Hamid Md Ali; Firoz Khan; Azizan Abu Samah; Imran Yusuff; Murnira Othman; Tengku Mohd Farid Tengku Hassim; Nor Eliani Ezani. Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System. Sensors 2018, 18, 4380 .

AMA Style

Kemal Maulana Alhasa, Mohd Shahrul Mohd Nadzir, Popoola Olalekan, Mohd Talib Latif, Yusri Yusup, Mohammad Rashed Iqbal Faruque, Fatimah Ahamad, Haris Hafizal Abd. Hamid, Kadaruddin Aiyub, Sawal Hamid Md Ali, Firoz Khan, Azizan Abu Samah, Imran Yusuff, Murnira Othman, Tengku Mohd Farid Tengku Hassim, Nor Eliani Ezani. Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System. Sensors. 2018; 18 (12):4380.

Chicago/Turabian Style

Kemal Maulana Alhasa; Mohd Shahrul Mohd Nadzir; Popoola Olalekan; Mohd Talib Latif; Yusri Yusup; Mohammad Rashed Iqbal Faruque; Fatimah Ahamad; Haris Hafizal Abd. Hamid; Kadaruddin Aiyub; Sawal Hamid Md Ali; Firoz Khan; Azizan Abu Samah; Imran Yusuff; Murnira Othman; Tengku Mohd Farid Tengku Hassim; Nor Eliani Ezani. 2018. "Calibration Model of a Low-Cost Air Quality Sensor Using an Adaptive Neuro-Fuzzy Inference System." Sensors 18, no. 12: 4380.

Data article
Published: 03 October 2018 in Data in Brief
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Data on the micrometeorological parameters and Energy Fluxes at an intertidal zone of a Tropical Coastal Ocean was carried out on an installed eddy covariance instruments at a Muka head station in the north-western end of the Pinang Island (5°28'06''N, 100°12'01''E), Peninsula Malaysia. The vast source of the supply of energy and heat to the hydrologic and earth׳s energy cycles principally come from the oceans. The exchange of energies via air-sea interactions is crucial to the understanding of climate variability, energy, and water budget. The turbulent energy fluxes are primary mechanisms through which the ocean releases the heat absorbed from the solar radiations to the environment. The eddy covariance (EC) system is the direct technique of measuring the micrometeorological parameters which allow the measurement of these turbulent fluxes in the time scale of half-hourly basis at 20 Hz over a long period. The data being presented is the comparison of the two-year seasonality patterns of monsoons variability on the measured microclimate variables in the southern South China Sea coastal area.

ACS Style

Yusri Yusup; John Stephen Kayode; Abbas Alkarkhi. Data on micrometeorological parameters and Energy Fluxes at an intertidal zone of a Tropical Coastal Ocean. Data in Brief 2018, 21, 13 -17.

AMA Style

Yusri Yusup, John Stephen Kayode, Abbas Alkarkhi. Data on micrometeorological parameters and Energy Fluxes at an intertidal zone of a Tropical Coastal Ocean. Data in Brief. 2018; 21 ():13-17.

Chicago/Turabian Style

Yusri Yusup; John Stephen Kayode; Abbas Alkarkhi. 2018. "Data on micrometeorological parameters and Energy Fluxes at an intertidal zone of a Tropical Coastal Ocean." Data in Brief 21, no. : 13-17.

Data article
Published: 08 September 2018 in Data in Brief
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Energy Dispersive X-ray Analysis, EDX mapping, Scanning Electron Microscope, SEM, together with X-ray Fluorescence Analysis, XRF, was carried out to extract the needed data from some metamorphic rock samples in part of the Nigerian Southwestern Precambrian Basement Complex, NSPBC. The foremost aim is to obtain the detail subsurface geological structures of the rocks within the area and to enhanced understanding of the processes and the types of metamorphic evolution in the area. The techniques involved qualitative and quantitative data analysis of the major, minor and radioactive elements present in the samples of rocks analyzed. The data helped to experimentally evaluate the rocks microstructures, and to also explore the development of magmatic and metamorphic mechanisms for the recognition of textual associations in the area. Applications of the EDX, SEM, and XRF data analysis are effortlessly done to determine the varied mixtures of Si, Al, Ca, Fe, K, Mg, and Na, in the presence of O existing in the rocks samples.The data helped in the classification and perceptive of these rocks and it was considered as a necessary tool in the knowledge of the metamorphism and origin of the Basement Complex rocks through measurement of the intensity of the emitted X-ray and its characteristics.

ACS Style

J.S. Kayode; Yusri Yusup; M.N.M. Nawawi; K.S. Ariffin; A.E. Kalil; M.G. Tagwa. EDX-SEM-XRF data from selected Precambrian Basement Complex rock samples in part of Southwestern Nigeria. Data in Brief 2018, 20, 1525 -1531.

AMA Style

J.S. Kayode, Yusri Yusup, M.N.M. Nawawi, K.S. Ariffin, A.E. Kalil, M.G. Tagwa. EDX-SEM-XRF data from selected Precambrian Basement Complex rock samples in part of Southwestern Nigeria. Data in Brief. 2018; 20 ():1525-1531.

Chicago/Turabian Style

J.S. Kayode; Yusri Yusup; M.N.M. Nawawi; K.S. Ariffin; A.E. Kalil; M.G. Tagwa. 2018. "EDX-SEM-XRF data from selected Precambrian Basement Complex rock samples in part of Southwestern Nigeria." Data in Brief 20, no. : 1525-1531.

Journal article
Published: 07 September 2018 in Science of The Total Environment
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Equatorial warming conditions in urban areas can influence the particle number concentrations (PNCs), but studies assessing such factors are limited. The aim of this study was to evaluate the level of size-resolved PNCs, their potential deposition rate in the human respiratory system, and probable local and transboundary inputs of PNCs in Kuala Lumpur. Particle size distributions of a 0.34 to 9.02 μm optical-equivalent size range were monitored at a frequency of 60 s between December 2016 and January 2017 using an optical-based compact scanning mobility particle sizer (SMPS). Diurnal and correlation analysis showed that traffic emissions and meteorological confounding factors were potential driving factors for changes in the PNCs (Dp ≤1 μm) at the modeling site. Trajectory modeling showed that a PNC 100/cm3 was influenced by air masses originating from the Indian Ocean and Indochina regions. Receptor models extracted five potential sources of PNCs: industrial emissions, transportation, aged traffic emissions, miscellaneous sources, and a source of secondary origin coupled with meteorological factors. A respiratory deposition model for male and female receptors predicted that the deposition flux of PM1 (particle mass ≤1 μm) into the alveolar (AL) region was higher (0.30 and 0.25 μg/h, respectively) than the upper airway (UA) (0.29 and 0.24 μg/h, respectively) and tracheobronchial (TB) regions (0.02 μg/h for each). However, the PM2.5 deposition flux was higher in the UA (2.02 and 1.68 μg/h, respectively) than in the TB (0.18 and 0.15 μg/h, respectively) and the AL regions (1.09 and 0.91 μg/h, respectively); a similar pattern was also observed for PM10.

ACS Style

Firoz Khan; Ahmad Hazuwan Hamid; Aynul Bari; Muhammad Abdul Basit Ahmad Tajudin; Mohd Talib Latif; Mohd Shahrul Mohd Nadzir; Mazrura Sahani; Muhammad Ikram A. Wahab; Yusri Yusup; Khairul Nizam Abdul Maulud; Mohd Famey Yusoff; Nowshad Amin; Akhtaruzzaman; Warren Kindzierski; Prashant Kumar. Airborne particles in the city center of Kuala Lumpur: Origin, potential driving factors, and deposition flux in human respiratory airways. Science of The Total Environment 2018, 650, 1195 -1206.

AMA Style

Firoz Khan, Ahmad Hazuwan Hamid, Aynul Bari, Muhammad Abdul Basit Ahmad Tajudin, Mohd Talib Latif, Mohd Shahrul Mohd Nadzir, Mazrura Sahani, Muhammad Ikram A. Wahab, Yusri Yusup, Khairul Nizam Abdul Maulud, Mohd Famey Yusoff, Nowshad Amin, Akhtaruzzaman, Warren Kindzierski, Prashant Kumar. Airborne particles in the city center of Kuala Lumpur: Origin, potential driving factors, and deposition flux in human respiratory airways. Science of The Total Environment. 2018; 650 ():1195-1206.

Chicago/Turabian Style

Firoz Khan; Ahmad Hazuwan Hamid; Aynul Bari; Muhammad Abdul Basit Ahmad Tajudin; Mohd Talib Latif; Mohd Shahrul Mohd Nadzir; Mazrura Sahani; Muhammad Ikram A. Wahab; Yusri Yusup; Khairul Nizam Abdul Maulud; Mohd Famey Yusoff; Nowshad Amin; Akhtaruzzaman; Warren Kindzierski; Prashant Kumar. 2018. "Airborne particles in the city center of Kuala Lumpur: Origin, potential driving factors, and deposition flux in human respiratory airways." Science of The Total Environment 650, no. : 1195-1206.

Journal article
Published: 24 August 2018 in Dynamics of Atmospheres and Oceans
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The global ocean is a net carbon dioxide uptake and a major component of the biogeochemical carbon cycle. We measured carbon dioxide flux and other microclimate variables using the eddy covariance method to determine the effects of the latter on carbon dioxide (CO2) flux in the intertidal zone of the tropical coastal ocean in the southern South China Sea. The location is in the under-sampled “Eastern Boundary Current” province of the continental shelf in the South China Sea. Fluxes and microclimate variables were collected for more than one year, which encompassed all four Monsoons. Results show that the tropical coastal ocean uptakes CO2 with an annual average of –2.10 mol C m–2 yr–1. The Monsoon cycle decreased the role of the tropical coastal ocean as a CO2 sink by 60% during the Southwest Monsoon/Fall Transitional Monsoon phase due to increased precipitation. Cluster analysis of all the parameters measured showed two main clusters, the “dry” and “wet” season clusters while factor analysis reduced the number of variables to two main factors, the “weather” and the “CO2” factors. Thus, the Monsoonal CO2 flux at the tropical coastal ocean are significantly regulated by cumulative precipitation in comparison to other variables.

ACS Style

Yusri Yusup; Abbas Alkarkhi; John Stephen Kayode; Wasin A.A. Alqaraghuli. Statistical modeling the effects of microclimate variables on carbon dioxide flux at the tropical coastal ocean in the southern South China Sea. Dynamics of Atmospheres and Oceans 2018, 84, 10 -21.

AMA Style

Yusri Yusup, Abbas Alkarkhi, John Stephen Kayode, Wasin A.A. Alqaraghuli. Statistical modeling the effects of microclimate variables on carbon dioxide flux at the tropical coastal ocean in the southern South China Sea. Dynamics of Atmospheres and Oceans. 2018; 84 ():10-21.

Chicago/Turabian Style

Yusri Yusup; Abbas Alkarkhi; John Stephen Kayode; Wasin A.A. Alqaraghuli. 2018. "Statistical modeling the effects of microclimate variables on carbon dioxide flux at the tropical coastal ocean in the southern South China Sea." Dynamics of Atmospheres and Oceans 84, no. : 10-21.

Journal article
Published: 13 August 2018 in Sustainable Cities and Society
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Airborne particulate matter (PM) is considered to be an essential indicator of outdoor and indoor air quality. In this study, indoor and outdoor PM1, PM2.5, PM10 concentrations were monitored at different locations within the Tehran University campus. It is found that 10% of PM1, PM2.5 and PM10 concentrations were higher than 36.11, 52.48 and 92.13 μg/m3 for indoors respectively. Genetic programming (GP) based methodology is implemented to identify the influence of outdoor PM on the indoor PM and established significant empirical models. The best GP model is identified based on fitness measure and root mean square error. It was observed that the GP based models are perfectly able to mimic the behavioural trends of outdoor particulate matter for PM1, PM2.5 and PM10 concentrations. The model predictions are very similar to the measured values and their variation was less than ± 8%. This analysis confirms the performance of GP based data driven modeling approach to predict the relationship between the outdoor particulate matter and its influence on the indoor particulate matter concentration.

ACS Style

Rama Rao Karri; Behzad Heibati; Yusri Yusup; Mohd Rafatullah; Mahmoud Mohammadyan; J.N. Sahu. Modeling airborne indoor and outdoor particulate matter using genetic programming. Sustainable Cities and Society 2018, 43, 395 -405.

AMA Style

Rama Rao Karri, Behzad Heibati, Yusri Yusup, Mohd Rafatullah, Mahmoud Mohammadyan, J.N. Sahu. Modeling airborne indoor and outdoor particulate matter using genetic programming. Sustainable Cities and Society. 2018; 43 ():395-405.

Chicago/Turabian Style

Rama Rao Karri; Behzad Heibati; Yusri Yusup; Mohd Rafatullah; Mahmoud Mohammadyan; J.N. Sahu. 2018. "Modeling airborne indoor and outdoor particulate matter using genetic programming." Sustainable Cities and Society 43, no. : 395-405.

Data article
Published: 19 June 2018 in Data in Brief
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Air-sea flux exchanges influence the climate condition and the global carbon-moisture cycle. It is imperative to understand the fundamentals of the natural systems at the tropical coastal ocean and how the transformation takes place over the time. Hence, latent and sensible heat fluxes, microclimate variables, and surface water temperature data were collected using eddy covariance instruments mounted on a platform at a tropical coastal ocean station from November 2015 to October 2017. The research data is to gain the needful knowledge of the energy exchanges in the tropical climatic environment to further improve predictive algorithms or models. Therefore, it is intended that this data report will offer appropriate information for the Monsoonal, and diurnal patterns of latent (LE) and sensible (H) heats and hence, establish the relationship between microclimate variables on the energy fluxes at the peninsular Malaysian tropical coastal ocean.

ACS Style

Yusri Yusup; John Stephen Kayode; Abbas Alkarkhi. Experimental data on the air-sea energy fluxes at the tropical coastal ocean in the southern South China Sea. Data in Brief 2018, 19, 1477 -1481.

AMA Style

Yusri Yusup, John Stephen Kayode, Abbas Alkarkhi. Experimental data on the air-sea energy fluxes at the tropical coastal ocean in the southern South China Sea. Data in Brief. 2018; 19 ():1477-1481.

Chicago/Turabian Style

Yusri Yusup; John Stephen Kayode; Abbas Alkarkhi. 2018. "Experimental data on the air-sea energy fluxes at the tropical coastal ocean in the southern South China Sea." Data in Brief 19, no. : 1477-1481.