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Novel energy recovery from an integrated municipal solid waste and leachate treatment system

Waste Disposal and Sustainable Energy 2024年第1期6卷 53-61页

作者： Siti salwa Khamis Hadi Purwanto Hamzah mohd salleh Alya Naili Rozhan Mohamed Abdur Rahman Mahammadsalman Warimani Noor Alam Faculty of Engineering International Islamic University MalaysiaJalan Gombak53100Kuala LumpurMalaysia Department of Engineering Management Universitas Internasional Semen IndonesiaGresikIndonesia Halalan Thayyiban Research Centre Sultan Sharif Ali Islamic UniversityBandar Seri BegawanBrunei Department of Mechanical Engineering P.A.College of EngineeringMangaloreKarnataka574153India Department of Mechanical Engineering Malaysia-Japan International Institute of TechnologyUniversity of Technology Malaysia54100Kuala LumpurMalaysia

Population growth,waste generation,and massive waste mismanagement have led to environmental *** of municipal solid waste(MSW)requires an efficient and sustainable integrated *** integrated thermal processing of MSW is one of the best waste management *** this study,energy analysis of MSW is carried out based on the material and energy balance of 2000 kg wet MSW,which contains 50%*** the leachate is removed,the dry MSW is sent for carbon content enhancement in carbonization to produce MSW-based ***,the combustion of MSW-based char provided high heat and syngas to be used in a hydrothermal process for MSW leachate *** result shows that the char fuel of MSW produces a sufficient amount of energy,13501.29 MJ(84.55%),in the form of synthetic gas by-product,which has a big potential as an energy *** novelty of the proposed integrated thermal system is to produce 84.55%synthetic gas by-product,which is used for electricity production,cooking,food,and heat energy for industrial *** proposed applications of this paper offer insightful information for policymaking regarding novel MSW techniques,which are economical,energy-efficient,and environmentally ***,it increases the effectiveness of MSW utilization.

关键词： Energy Carbonization Hydrothermal Municipal solid waste Integrated system

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Pseudomonas aeruginosa USM-AR2 culture containing biosurfactant facilitates crude oil distillation process

Pseudomonas aeruginosa USM-AR2 culture containing biosurfact...

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2011 International Conference on Biotechnology and Environment Management ( ICBEM 2011）

作者： Nur Asshifa Md Noh salwa mohd salleh Mohamad Nasir Mohamad Ibrahim Ahmad Ramli mohd Yahya School of Biological Sciences Universiti Sains Malaysia 11800 Minden Penang Malaysia School of Chemical Sciences Universiti Sains Malaysia 11800 Minden Penang Malaysia

Petroleum supplies a large portion of the world’s energy, thereby driving industrial civilization. It remains an important factor in dictating market prices of diverse products and services. Distillation of crude oil is a common fractionation method of petroleum producing desirable products, such as automotive fuel and kerosene. Conventional distillation has been the current fractionation process for decades, producing distillates of interest and is conducted without any involvement of biological materials. The process involves tremendous amount of thermal energy and requiring a long time. This research offers an improved distillation performance and yield. A small amount of rhamnolipid produced from a microbial culture Pseudomonas aeruginosa USM-AR2, is added and mixed thoroughly with the crude oil prior to distillation. This results in a drastic reduction in distillation time without affecting or reducing the quality of the distillate. The pretreatment accelerates the emulsification and biodegradation process by decreasing surface tension and viscosity of oil, which in turn resulted in the shorter distillation times. Reducing the distillation times translates to energy and cost savings in producing petroleum products. Since oil prices affect many other industries, this discovery will have a great impact on the economy.

关键词： rhamnolipid distillation crude oil emulsification Pseudomonas aeruginosa

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Optimized Gated Recurrent Unit for Mid-Term Electricity Price Forecasting

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Computer Systems Science & Engineering 2022年第11期43卷 817-832页

作者： Rashed Iqbal Hazlie Mokhlis Anis salwa mohd Khairuddin Syafiqah Ismail Munir Azam Muhammad Department of Electrical Engineering Faculty of EngineeringUniversiti Malaya50603Malaysia Department of Electrical Engineering Main CampusIqra UniversityKarachi75300Pakistan

Electricity price forecasting(EPF)is important for energy system operations and management which include strategic bidding,generation scheduling,optimum storage reserves scheduling and systems ***,accurate EPF is crucial for the purpose of bidding strategies and minimizing the risk for market participants in the competitive electricity ***,accurate time-series prediction of electricity price is very challenging due to complex nonlinearity in the trend of electricity *** work proposes a mid-term forecasting model based on the demand and price data,renewable and non-renewable energy supplies,the seasonality and peak and off-peak hours of working and nonworking *** optimized Gated Recurrent Unit(GRU)which incorporates Bagged Regression Tree(BTE)is developed in the Recurrent Neural Network(RNN)architecture for the mid-term *** layer is employed to optimize the hyperparameters of the heterogeneous GRU with the aim to improve the model’s performance,error reduction and predict the *** this work,the proposed framework is assessed using electricity market data of five major economical states in Australia by using electricity market data from August 2020 to May *** results showed significant improvement when adopting the proposed prediction framework compared to previous works in forecasting the electricity price.

关键词： Deep learning energy management machine learning prediction

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A Stacked Ensemble Deep Learning Approach for Imbalanced Multi-Class Water Quality Index Prediction

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Computers, Materials & Continua 2023年第8期76卷 1361-1384页

作者： Wen Yee Wong Khairunnisa Hasikin Anis salwa mohd Khairuddin Sarah Abdul Razak Hanee Farzana Hizaddin mohd Istajib Mokhtar Muhammad Mokhzaini Azizan Department of Biomedical Engineering Faculty of EngineeringUniversity of MalayaKuala Lumpur50603Malaysia Department of Electrical Engineering Faculty of EngineeringUniversity of MalayaKuala Lumpur50603Malaysia Institute of Biological Sciences Faculty of ScienceUniversity of MalayaKuala Lumpur50603Malaysia Department of Chemical Engineering Faculty of EngineeringUniversity of MalayaKuala Lumpur50603Malaysia Department of Science and Technology Studies Faculty of ScienceUniversity of MalayaKuala Lumpur50603Malaysia Department of Electrical and Electronic Engineering Faculty of Engineering and Built EnvironmentUniversiti Sains Islam MalaysiaNilaiNegeri Sembilan71800Malaysia

A common difficulty in building prediction models with real-world environmental datasets is the skewed distribution of *** are significantly more samples for day-to-day classes,while rare events such as polluted classes are ***,the limited availability of minority outcomes lowers the classifier’s overall *** study assesses the capability of machine learning(ML)algorithms in tackling imbalanced water quality data based on the metrics of precision,recall,and F1 *** intends to balance the misled accuracy towards the majority of ***,10 ML algorithms of its performance are *** classifiers included are AdaBoost,SupportVector Machine,Linear Discriminant Analysis,k-Nearest Neighbors,Naive Bayes,Decision Trees,Random Forest,Extra Trees,Bagging,and the Multilayer *** study also uses the Easy Ensemble Classifier,Balanced Bagging,andRUSBoost algorithm to evaluatemulti-class imbalanced learning *** comparison results revealed that a highaccuracy machine learning model is not always good in recall and *** paper’s stacked ensemble deep learning(SE-DL)generalization model effectively classifies the water quality index(WQI)based on 23 input *** proposed algorithm achieved a remarkable average of 95.69%,94.96%,92.92%,and 93.88%for accuracy,precision,recall,and F1 score,*** addition,the proposed model is compared against two state-of-the-art classifiers,the XGBoost(eXtreme Gradient Boosting)and Light Gradient Boosting Machine,where performance metrics of balanced accuracy and g-mean are *** experimental setup concluded XGBoost with a higher balanced accuracy and ***,the SE-DL model has a better and more balanced performance in the F1 *** SE-DL model aligns with the goal of this study to ensure the balance between accuracy and completeness for each water quality *** proposed algorithm is also capable of higher efficiency at a lower computa

关键词： Water quality classification imbalanced data SMOTE stacked ensemble deep learning sensitivity analysis

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Water Quality Index Using Modified Random Forest Technique: Assessing Novel Input Features

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Computer Modeling in Engineering & Sciences 2022年第9期132卷 1011-1038页

作者： Wen Yee Wong Ayman Khallel Ibrahim Al-Ani Khairunnisa Hasikin Anis salwa mohd Khairuddin Sarah Abdul Razak Hanee Farzana Hizaddin mohd Istajib Mokhtar Muhammad Mokhzaini Azizan Department of Biomedical Engineering Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia Department of Electrical Engineering Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia Institute of Biological Sciences Faculty of ScienceUniversiti MalayaKuala Lumpur50603Malaysia Department of Chemical Engineering Faculty of EngineeringUniversiti MalayaKuala Lumpur50603Malaysia Department of Science and Technology Studies Faculty of ScienceUniversiti MalayaKuala Lumpur50603Malaysia Department of Electrical and Electronic Engineering Faculty of Engineering and Built EnvironmentUniversiti Sains Islam MalaysiaBandar Baru NilaiNilaiNegeri Sembilan71800Malaysia

Water quality analysis is essential to understand the ecological status of aquatic *** water quality index(WQI)assessment methods are limited to features such as water acidic or basicity(pH),dissolved oxygen(DO),biological oxygen demand(BOD),chemical oxygen demand(COD),ammoniacal nitrogen(NH3-N),and suspended solids(SS).These features are often insufficient to represent the water quality of a heavy metal–polluted ***,this paper aims to explore and analyze novel input features in order to formulate an improved *** this work,prospective insights on the feasibility of alternative water quality input variables as new discriminant features are *** new discriminant features are a step toward formulating adaptive water quality parameters according to the land use activities surrounding the *** results and analysis obtained from this study have proven the possibility of predicting WQI using new input *** work analyzes 17 new input features,namely conductivity(COND),salinity(SAL),turbidity(TUR),dissolved solids(DS),nitrate(NO3),chloride(Cl),phosphate(PO4),arsenic(As),chromium(Cr),zinc(Zn),calcium(Ca),iron(Fe),potassium(K),magnesium(Mg),sodium(Na),***,and total coliform,in predicting WQI using machine learning *** regression algorithms-random forest(RF),AdaBoost,support vector regression(SVR),decision tree regression(DTR),and multilayer perception(MLP)-are applied for preliminary model *** results show that the RF algorithm exhibits better prediction performance,with R2 of ***,this work proposes a modified RF by incorporating the synthetic minority oversampling technique(SMOTE)into the conventional RF *** proposed modified RF method is shown to achieve 77.68%,74%,69%,and 71%accuracy,precision,recall,and F1-score,*** addition,the sensitivity analysis is included to highlight the importance of the turbidity variable in WQI *** results of sensitivity analysis high

关键词： Artificial intelligence random forest environmental modeling alternative inputs SMOTE

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Antihyperglycemic effect of Ocimum plants:A short review

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Asian Pacific Journal of Tropical Biomedicine 2017年第8期7卷 755-759页

作者： Raiya Adiba Antora Rabeta mohd salleh Food Technology Division School of Industrial TechnologyUniversiti Sains Malaysia11800 GelugorPenangMalaysia

This present review provides information on the antihyperglycemic effect of the plants belonging to the genus Ocimum. The species of this genus which mostly show significant antihyperglycemic effects are Ocimum tenuiflorum L., Ocimum basilicum L., Ocimum gratissimum L. and Ocimum canum L. The results were shown in both in vitro and in vivo studies. The anti-hyperglycemic activ ities of different extracts from all these species are reported here. Aqueous extracts are common to show a satisfactory result for all the species. The results for ethanol, methanol, ethyl-acetate, petroleum ether extracts, chloroform and hexane fraction of ethanol extract arc also presented here. Some of the results showed a better effect than the standard medicine. Eugenol is the most important bioactive compound among all the components for reducing blood glucose level. Other components include polyphenols, caffeic acid, p-coumaric acid compound and chichoric acid, which are reportedly found in these species. There are fewer studies performed to identify the phytocheimical components which are responsible for these plants blood glucose, serum glucose and plasma glucose lowering effect. This review presents the studies which have been done lately to establish the antihyperglycemic effects of these plants with a view to identify the core components responsible for this activity in near future.

关键词： Antihyperglycemic 效果多糖症糖尿病 mellitus Bioactive 混合物

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Higher Order OAM Mode Generation Using Wearable Antenna for 5G NR Bands

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Computer Systems Science & Engineering 2023年第10期47卷 537-551页

作者： Shehab Khan Noor Arif Mawardi Ismail mohd Najib mohd Yasin Mohamed Nasrun Osman Thennarasan Sabapathy Shakhirul Mat salleh Ping Jack Soh Ali Hanafiah Rambe Nurulazlina Ramli Advanced Communication Engineering(ACE) Centre of ExcellenceFaculty of Electronic Engineering&TechnologyUniversiti Malaysia PerlisKangarPerlisMalaysia Faculty of Engineering Technology(FTK) Department of Electronic Engineering TechnologyUniversiti Malaysia Perlis(UniMAP)Unicity Alam Campus02100Padang BesarPerlisMalaysia Centre for Wireless Communications(CWC) University of Oulu90570OuluFinland Department of Electrical Engineering Universitas Sumatera UtaraMedan20155Indonesia Centre for Advanced Electrical and Electronic System(CAEES)Faculty of Engineering Built Environment and Information TechnologySEGi University SelangorMalaysia

This paper presents a flexible and wearable textile array antenna designed to generate Orbital Angular Momentum(OAM)waves with Mode+2 at 3.5 GHz(3.4 to 3.6 GHz)of the sub-6 GHz fifth-generation(5G)New Radio(NR)*** proposed antenna is based on a uniform circular array of eight microstrip patch antennas on a felt textile *** contrast to previous works involving the use of rigid substrates to generate OAM waves,this work explored the use of flexible substrates to generate OAM waves for the first *** than that,the proposed antenna was simulated,analyzed,fabricated,and tested to confirm the generation of OAMMode+*** the same design,OAM Mode−2 can be generated readily simply by mirror imaging the feed *** that the proposed antenna operated at the desired frequency of 3.5 GHz with an overall bandwidth of 400 MHz in free ***,mode purity analysis is carried out to verify the generation of OAM Mode+2,and the purity obtained was 41.78%at free space flat ***,the effect of antenna bending on the purity of the generated OAM mode is also ***,the influence of textile properties on OAM modes is examined to assist future researchers in choosing suitable fabrics to design flexible OAM-based *** a comprehensive analysis considering different factors related to wearable applications,this paper demonstrates the feasibility of generating OAMwaves using textile ***,as per the obtained Specific Absorption Rate(SAR),it is found that the proposed antenna is safe to be *** findings of this work have a significant implication for body-centric communications.

关键词： Wearable antenna OAM vortex waves 5G textile antenna microstrip patch antenna specific absorption rate(SAR)

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Hypoglycemic and anti-hyperglycemic study of Ocimum tenuiflorum *** extract in normal and streptozotocin-induced diabetic rats

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Asian Pacific Journal of Tropical Biomedicine 2016年第12期6卷 1029-1036页

作者： Leila Mousavi Rabeta mohd salleh Vikneswaran Murugaiyah mohd Zaini Asmawi Food Technology Division School of Industrial TechnologyUniversiti Sains Malaysia Discipline of Pharmacology School of Pharmaceutical SciencesUniversiti Sains Malaysia

Objective:To investigate the antidiabetic activity of Ocimum tenuiflorum L.(***) leaves used in the traditional medicine management of diabetes in ***:*** leaves were extracted sequentially with hexane,chloroform,ethyl acetate,methanol,and *** extracts were evaluated in terms of antidiabetic activity by using acute,subcutaneous glucose tolerance,and sub-chronic tests in streptozotocininduced diabetic *** extracts were also subjected to phytochemical ***:With an acute dose(1 g/kg),the methanol extracts showed significant reduction(31%) in fasting blood glucose(FBG) of the streptozotocin-induced diabetic *** FBG-decreasing effect of ethyl acetate extract was more rapid than that of the other extracts;the decreasing rates were 20%after 2 h,21%after 3 h,and 8%after 5 and 7 *** 7 h(31%),the effect of methanol extract on FBG was significantly lower than that of *** the subcutaneous glucose tolerance test,only methanol and hexane extracts showed the similarity of metformin in diabetic *** 14 days,the effects of these extracts were similar to those of metformin(63.33%).The total flavonoid and phenolic contents of extracts decreased as the polarity of the extraction solvent ***:The results obtained provide support for a possible use of *** leaves in managing hyperglycemia and preventing the complications associated with it in type 2 diabetic.

关键词： Ocimum tenuiflorum L. Streptozotocin-induced diabetes Antidiabetic Fasting blood glucose Subcutaneous glucose tolerance test Phytochemical analysis

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A simple and purification-free nucleic acid extraction method for rapid diagnosis of malaria

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Asian Pacific Journal of Tropical Medicine 2023年第9期16卷 428-430页

作者： Lee Phone Youth Zen Meng Yee Lai mohd Hafizi Abdul Hamid Jenarun Jelip Rose Nani Mudin Noor Hafizan Bt Mat salleh Netty Darwina Dawam Nirzayanna Eyan Abdul Ajak mohd Ashrin Afiq Bin Zainudin Yee Ling Lau Department of Parasitology Faculty of MedicineUniversiti Malaya50603 Kuala LumpurMalaysia Vector Borne Disease Sector Ministry of HealthPutrajayaMalaysia Lipis District Health Office PahangMalaysia State Health Department Negeri SembilanMalaysia Microbiology Sector Hospital Kuala Kubu BharuSelangorMalaysia

In a point of care setting for the diagnosis of malaria,DNA extraction using conventional methods are time-consuming and ***,in this study we aim to utilize a simple nucleic acid extraction method to directly extract DNA from *** would in turn reduce the time,cost and equipment needed to perform DNA *** method is then coupled with LAMP assay for rapid diagnosis of malaria.

关键词： diagnosis malaria utilize

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New coating formulation for the slow release of urea using a mixture of gypsum and dolomitic limestone

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Particuology 2015年第6期13卷 62-67页

作者： Farahnaz Eghbali Babadi Robiah Yunus Suraya Abdul Rashid Mohamad Amran mohd salleh Salmiaton Ali Institute of Advanced Technology Universiti Putra Malaysia Selangor 43400 Malaysia Departments of Chemical and Environmental Engineering Faculty of Engineering Universiti Putra Malaysia Selangor 43400 Malaysia

The use of urea and urea-based fertilizers has increased considerably over the past 15 years. They cur- rently account for approximately 51% of the world＇s agricultural nitrogen consumption. However, about 20-70% of the applied urea fertilizer is lost to the environment, causing serious pollution and increasing costs. These losses come from leaching, decomposition, and ammonium volatilization in the soil during handling and storage. Controlled release by coating can be used to increase urea fertilizer efficiency. We studied the use of gypsum, sulfur, and ground magnesium lime as cost-effective coating materials. All these coating materials contain nutrients required by plants. The effects of the coating composition and proportion of sealant on the rate of urea release and the crushing strength of the coated urea were investigated. We found that coated urea with the same proportion of gypsum-ground magnesium lime （GML） exhibited low urea release and high crushing strength. The performance was enhanced when using polyols as a sealant on the surface of the coated urea. A surface morphology analysis indicated a uniform and smooth surface on the coated film. The efficiency of the coated urea improved by 34.2% when using gypsum-GML （ 1：1 ratio） containing 1.1% oolvols.

关键词： Ground magnesium lime Crushing strength Rotary pan SealantPolyol

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