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An Efficient Schema Transformation Technique for Data Migration from Relational to Column-Oriented Databases

Computer Systems Science & Engineering 2022年第12期43卷 1175-1188页

作者： Norwini Zaidi iskandar ishak Fatimah Sidi Lilly Suriani Affendey System Development and Engineering Center Universiti Sains Islam Malaysia71800Negeri SembilanMalaysia Faculty of Computer Science and Information Technology Universiti Putra MalaysiaUPM Serdang43400SelangorMalaysia

Data transformation is the core process in migrating database from relational database to NoSQL database such as column-oriented database. However,there is no standard guideline for data transformation from relational database toNoSQL database. A number of schema transformation techniques have been proposed to improve data transformation process and resulted better query processingtime when compared to the relational database query processing time. However,these approaches produced redundant tables in the resulted schema that in turnconsume large unnecessary storage size and produce high query processing timedue to the generated schema with redundant column families in the transformedcolumn-oriented database. In this paper, an efficient data transformation techniquefrom relational database to column-oriented database is proposed. The proposedschema transformation technique is based on the combination of denormalizationapproach, data access pattern and multiple-nested schema. In order to validate theproposed work, the proposed technique is implemented by transforming data fromMySQL database to MongoDB database. A benchmark transformation techniqueis also performed in which the query processing time and the storage size arecompared. Based on the experimental results, the proposed transformation technique showed significant improvement in terms query processing time and storagespace usage due to the reduced number of column families in the column-orienteddatabase.

关键词： Data migration data transformation column-oriented database relational database big data

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Hydrogen Permeation Characteristics of Pd-CuMembrane in Plasma Membrane Reactor

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Energy Engineering 2024年第2期121卷 259-272页

作者： Muhd Hadi iskandar Abd Razak Motoki Tsuda YukioHayakawa Shinji Kambara Graduate School of Engineering Gifu UniversityGifu501-1193Japan

Hydrogen is an alternative energy source that has the potential to replace fossil *** of the hydrogen applications is as a material for Polymer Electrolyte Membrane Fuel Cells(PEMFC)in fuel cell ***-purity hydrogen can be obtained using a hydrogen separation membrane to prevent unwanted contaminants from potentially harming the PEMFC *** this study,we fabricated a plasma membrane reactor and investigated the permeation performance of a hydrogen separation membrane in a plasma membrane reactor utilizing atmospheric pressure *** result showed the hydrogen permeation rate increasing with time as reactor temperature is increased through joule *** decreasing the gap length of the reactor from 2 to 1 mm,the hydrogen permeation rate increases by up to 40%.The hydrogen permeation rate increases by 30%when pressure is applied to the plasma membrane reactor by up to 100 kPa.

关键词： Hydrogen energy hydrogen separation membrane atmospheric pressure plasma

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Stability Scrutinization of Agrawal Axisymmetric Flow of Nanofluid through a Permeable Moving Disk Due to Renewable Solar Radiation with Smoluchowski Temperature and Maxwell Velocity Slip Boundary Conditions

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Computer Modeling in Engineering & Sciences 2023年第2期134卷 1371-1392页

作者： Umair Khan Aurang Zaib Anuar ishak iskandar Waini El-Sayed M.Sherif Dumitru Baleanu Department of Mathematical Sciences Faculty of Science and TechnologyUniversiti Kebangsaan MalaysiaBangi43600Malaysia Department of Mathematics and Social Sciences Sukkur IBA UniversitySukkur65200Pakistan Department of Mathematical Sciences Federal Urdu University of ArtsScience&TechnologyKarachi75300Pakistan Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan Universiti Teknikal Malaysia MelakaMelaka76100Malaysia Mechanical Engineering Department College of EngineeringKing Saud UniversityRiyadh11423Saudi Arabia Department of Mathematics Cankaya UniversityAnkara06790Turkey Institute of Space Sciences Magurele077125Romania Department of Medical Research China Medical University HospitalChina Medical UniversityTaichung40447Taiwan

The utilization of solar energy is essential to all living things since the beginning of *** addition to being a constant source of energy,solar energy(SE)can also be used to generate heat and *** technology enables to convert the solar energy into electricity by using thermal solar *** energy is perhaps the most easily accessible and plentiful source of sustainable ***-based nanofluid has been considered as a method to improve solar collector performance by absorbing incoming solar energy *** goal of this research is to explore theoretically the Agrawal axisymmetric flow induced by Cu-water nanofluid over a moving permeable disk caused by solar ***,the impacts of Maxwell velocity and Smoluchowski temperature slip are incorporated to discuss the fine points of nanofluid flow and characteristics of heat *** primary partial differential equations are transformed to similarity equations by employing similarity variables and then utilizing bvp4c to resolve the set of equations *** current numerical approach can produce double solutions by providing suitable initial *** addition,the results revealed that the impact of solar collector efficiency enhances significantly due to nanoparticle volume *** suction parameter delays the boundary layer ***,stability analysis is performed and is found that the upper solution is stable and physically trustworthy while the lower one is unstable.

关键词： Agrawal axisymmetric flow solar energy nanofluid heat transfer slip conditions

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Hybrid Nanofluid Flow with Homogeneous-Heterogeneous Reactions

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Computers, Materials & Continua 2021年第9期68卷 3255-3269页

作者： iskandar Waini Anuar ishak Ioan Pop Fakulti Teknologi Kejuruteraan Mekanikal dan Pembuatan Universiti Teknikal Malaysia MelakaHang Tuah Jaya76100Durian TunggalMelakaMalaysia Department of Mathematical Sciences Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia43600UKM BangiSelangorMalaysia Department of Mathematics Babe¸s-Bolyai University400084Cluj-NapocaRomania

This study examines the stagnation point flow over a stretching/shrinking sheet in a hybrid nanofluid with homogeneous-heterogeneous *** hybrid nanofluid consists of copper(Cu)and alumina(Al2O3)nanoparticles which are added into water to form Cu-Al2O3/water hybrid *** similarity equations are obtained using a similarity ***,the function bvp4c in MATLAB is utilised to obtain the numerical *** dual solutions are found for limited values of the stretching/shrinking ***,the turning point arises in the shrinking region(λ<0).Besides,the presence of hybrid nanoparticles enhances the heat transfer rate,skin friction coefficient,and the concentration *** addition,the concentration gradient is intensified with the heterogeneous reaction but the effect is opposite for the homogeneous ***,the velocity and the concentration increase,whereas the temperature decreases for higher compositions of hybrid ***,the concentration decreases for larger values of homogeneous and heterogeneous *** is consistent with the fact that higher reaction rate cause a reduction in the rate of ***,the velocity and the temperature are not affected by these *** these observations,it can be concluded that the effect of the homogeneous and heterogeneous reactions is dominant on the concentration *** solutions are obtained for a single value of *** temporal stability analysis shows that only one of these solutions is stable and thus physically reliable over time.

关键词： Homogeneous-heterogeneous reactions stagnation point hybrid nanofluid shrinking sheet dual solutions stability analysis

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Effectiveness of ultrafine bubbles and gamma irradiation treatments to improve seed viability and vigor of Albizia chinensis(Osbeck)Merr.

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Journal of Forestry Research 2022年第5期33卷 1607-1613页

作者： Dede J.Sudrajat Anindyta Putri Y.Aris Purwanto iskandar Z.Siregar Forest Tree Seed Technology Research and Development Center Jl.Pakuan CiheuleutPO BOX 105BogorWest JavaIndonesia Department of Silviculture Faculty of Forestry and EnvironmentIPB UniversityJl.Lingkar Kampus DramagaBogor 16680West JavaIndonesia Department of Mechanical and Biosystem Engineering IPB UniversityJl.Lingkar Kampus DramagaBogor 16680West JavaIndonesia

Ultrafine bubbles and low doses of gamma irradiation had a positive effect on seed *** research tested the effectiveness of ultrafine bubbles(UFB)water and gamma irradiation for improving the viability and vigor of Albizia chinensis(Osbeck)*** that had been stored for four years.A completely randomized two-factor experiment,i.e.,UFB water and gamma irradiation treatments,were used to determine the best seed *** UFB water treatment had a significant effect on all seed germination parameters;the gamma irradiation treatment did not have a significant effect on improving the viability and vigor of the seeds,with a very low initial germination(11.7%).Soaking the seeds in UFB water for 30 min gave the best germination(51.3%).These improvements also occurred in other germination parameters such as germination rate,germination value,radicle length and vigor *** UFB water treatment has the potential to improve the germination of seeds with low physiological qualities.

关键词： Albizia chinensis Gamma rays Germination Ultrafine bubbles

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Vision rehabilitation using microperimetric biofeedback training in age-related macular degeneration

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International Journal of Ophthalmology(English edition) 2023年第6期16卷 933-938页

作者： Sri Hudaya Widihastha Erwin iskandar Karmelita Satari Irawati Irfani Rova Virgana Primawita Oktarima Amiruddin Department of Ophthalmology Faculty of MedicineUniversitas PadjadjaranBandung 40117Indonesia National Eye Center Cicendo Hospital Bandung 40117Indonesia

·AIM: To determine the impact of microperimetric biofeedback training(MBFT) on the quality of vision in patients with age-related macular degeneration(AMD).·METHODS: This study was a prospective, interventional, comparative study with subjects of patients diagnosed with AMD in the National Eye Center Cicendo Eye Hospital, Indonesia. Patients were randomly divided into two groups, intervention and non-intervention with 18 patients in each group. The intervention group would receive six MBFT training sessions of 10-minute time duration each.·RESULTS: A statistically significant improvement of best corrected visual acuity(BCVA) was found after the intervention, from 1.24±0.416 to 0.83±0.242(log MAR;P<0.001). A statistically significant improvement for near vision acuity(NVA) was also observed, from 1.02±0.307 log MAR to 0.69±0.278 log MAR(P<0.001). In addition, reading rate increased, from 40.83±30.411 to 65.06±31.598 words/min(P<0.001). Similarly, a comparison of changes in BCVA, NVA, and reading rate between intervention and non-intervention groups showed a significant difference(P<0.001).·CONCLUSION: MBFT significantly and positively impacts visual acuity, NVA, and reading rate in patients with AMD.

关键词： microperimetric biofeedback training agerelated macular degeneration vision rehabilitation

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New insight into pyrrolic-N site effect towards the first NIR window absorption of pyrrolic-N-rich carbon dots

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Nano Research 2023年第4期16卷 6001-6009页

作者： Fitri Aulia Permatasari Reza Umami Citra Deliana Dewi Sundari Tirta Rona Mayangsari Atthar Luqman Ivansyah Fahdzi Muttaqien Takashi Ogi Ferry iskandar Department of Physics Faculty Mathematics and Natural SciencesInstitut Teknologi BandungJalan Ganesha 10BandungWest Java 40132Indonesia Collaboration Research Center for Advanced Energy Materials National Research and Innovation Agency-Institut Teknologi BandungJalan Ganesha 10BandungWest Java 40132Indonesia Department of Chemistry Faculty of Mathematics and Natural SciencesInstitut Teknologi BandungJl.Ganesha 10BandungWest Java 40132Indonesia Department of Chemistry Education UIN Sunan Gunung Djati BandungJl.CimincrangBandungWest Java 40292Indonesia Department of Chemistry Universitas PertaminaJakarta 12220Indonesia Master Program in Computational Science Faculty of Mathematics and Natural SciencesInstitut Teknologi BandungJl.Ganesha 10BandungWest Java 40132Indonesia Instrumentation and Computational Physics Research Group Faculty of Mathematics and Natural SciencesInstitut Teknologi BandungJl.Ganesha 10Bandung 40132Indonesia Research Center for Nanoscience and Nanotechnology Institut Teknologi BandungJalan Ganesha 10BandungWest Java 40132Indonesia Chemical Engineering Program Department of Advanced Science and EngineeringGraduate School of Advanced Science and EngineeringHiroshima UniversityHigashi-Hiroshima 739-8527Japan

Controlled C-N configurations,i.e.,pyrrolic-N,pyridinic-N,and graphitic-N,are promising strategies to tailor the carbon dots’(CDs)optical properties into the first near infrared(NIR)window(650-900 nm),a responsive range for biomedical ***,a deep understanding of the role of the C-N configuration in the CDs’properties is still challenging and thoughtprovoking owing to their complex ***,an underlying pyrrolic-N concentration and position effect on the pyrrolic-N-rich CDs’absorption was comprehensively elucidated based on the integrated experimental and computational *** assynthesized pyrrolic-N-rich CDs exhibit a first NIR window absorption centered at 650 nm with high photothermal ***-N concentrations from 1.4%to 11.3%and positions(edge and mid-site)were systematically investigated.A mid-site pyrrolic-N was subsequently generated after the pyrrolic-N concentration more than 10%.Edge-site pyrrolic-N induces a frontier orbital hybridization,reducing bandgap energy,while mid-site pyrrolic-N plays a critical role in inducing a first NIR window absorption owing to their high charge ***,pyrrolic-N-rich CDs inherit a bowl-like topological feature,elevating the CDs’layer thickness as much as 0.71 *** study shed light on the design and optimization of pyrrolic-N on CDs for the first NIR window responsive materials in any biomedical application.

关键词： absorption carbon dots charge transfer first near infrared(NIR)window frontier orbital hybridization mid-site pyrrolic-N

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Optimal Location to Use Solar Energy in an Urban Situation

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Computers, Materials & Continua 2023年第4期75卷 815-829页

作者： Ngakan Ketut Acwin Dwijendra Indrajit Patra N.Bharath Kumar iskandar Muda Elsayed M.Tag El Din Faculty of Engineering Udayana UniversityBali80361Indonesia An Independent Researcher NIT DurgapurWest Bengal700027India Department of Electrical and Electronics Engineering Vignan’s Foundation for Science Technology and ResearchGuntur522001India Department of Doctoral Program Faculty Economic and BusinessUniversitas Sumatera UtaraMedan20222Indonesia Electrical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt

This study conducted in Lima, Peru, a combination of spatial decisionmaking system and machine learning was utilized to identify potentialsolar power plant construction sites within the city. Sundial measurementsof solar radiation, precipitation, temperature, and altitude were collectedfor the study. Gene Expression Programming (GEP), which is based on theevolution of intelligent models, and Artificial Neural Networks (ANN) wereboth utilized in this investigation, and the results obtained from each werecompared. Eighty percent of the data was utilized during the training phase,while the remaining twenty percent was utilized during the testing phase. Onthe basis of the findings, it was determined that the GEP is the most suitablenetwork for predicting the location. The test state’s Nash-Sutcliffe efficiency(NSE) was 0.90, and its root-mean-square error (RMSE) was 0.04. Followingthe generation of the final map based on the results of the GEP model, itwas determined that 9.2% of the province’s study area is suitable for theconstruction of photovoltaic solar power plants, while 53.5% is acceptable and37.3% is unsuitable. The ANN model reveals that only 1.7% of the study areais suitable for the construction of photovoltaic solar power plants, while 66.8%is acceptable and 31.5% is unsuitable.

关键词： Solar energy renewable energy machine learning

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Effects of climate anomaly on rainfall, groundwater depth, and soil moisture on peatlands in South Sumatra, Indonesia

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Journal of Groundwater Science and Engineering 2023年第1期11卷 81-88页

作者： Muhammad Irfan Sri Safrina Erry Koriyanti Netty Kurniawati Khairul Saleh Iskhaq iskandar Department of Physics Faculty of Mathematics and Natural SciencesUniversity of SriwijayaJl.Raya Prabumulih Km.32InderalayaSouth SumateraIndonesia Department of English Education Faculty of Education and Teacher TrainingUniversity of SriwijayaJl.Raya Prabumulih Km.32InderalayaSouth SumateraIndonesia

Climate anomalies can cause natural disasters such as severe fires and floods on peatlands in South *** that affect the natural disasters on peatlands include rainfall,groundwater level,and soil *** paper aims to study the effect of the climate anomalies in 2019 and 2020 and effects of these influencing factors on peatlands in South *** data used in this study was derived from insitu measurement at two SESAME’s measurement stations in the study *** results indicate that in the 2019 dry season,the rainfall was minimal,the lowest groundwater table depth was-1.14 m and the lowest soil moisture was 3.4%.In the 2020 dry season,rainfall was above the monthly average of 100 mm,the lowest groundwater level was-0.44 m,and the lowest soil moisture was 26.64%.There is also a strong correlation between soil moisture and groundwater table *** correlation between the two is stronger when there is less rainfall.

关键词： IOD ENSO Dry season Correlation Peatlands

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Artificial Intelligence Based Sentiment Analysis for Health Crisis Management in Smart Cities

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Computers, Materials & Continua 2022年第4期71卷 143-157页

作者： Anwer Mustafa Hilal Badria Sulaiman Alfurhood Fahd N.Al-Wesabi Manar Ahmed Hamza Mesfer Al Duhayyim Huda G.iskandar Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabia Department of Computer Science College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversitySaudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Natural and Applied Sciences College of Community-AflajPrince Sattam Bin Abdulaziz UniversitySaudi Arabia School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaMalaysia

Smart city promotes the unification of conventional urban infrastructure and information technology (IT) to improve the quality of living andsustainable urban services in the city. To accomplish this, smart cities necessitate collaboration among the public as well as private sectors to install ITplatforms to collect and examine massive quantities of data. At the same time,it is essential to design effective artificial intelligence (AI) based tools to handlehealthcare crisis situations in smart cities. To offer proficient services to peopleduring healthcare crisis time, the authorities need to look closer towardsthem. Sentiment analysis (SA) in social networking can provide valuableinformation regarding public opinion towards government actions. With thismotivation, this paper presents a new AI based SA tool for healthcare crisismanagement (AISA-HCM) in smart cities. The AISA-HCM technique aimsto determine the emotions of the people during the healthcare crisis time, suchas COVID-19. The proposed AISA-HCM technique involves distinct operations such as pre-processing, feature extraction, and classification. Besides,brain storm optimization (BSO) with deep belief network (DBN), called BSODBN model is employed for feature extraction. Moreover, beetle antennasearch with extreme learning machine (BAS-ELM) method was utilized forclassifying the sentiments as to various classes. The use of BSO and BASalgorithms helps to effectively modify the parameters involved in the DBNand ELM models respectively. The performance validation of the AISA-HCMtechnique takes place using Twitter data and the outcomes are examinedwith respect to various measures. The experimental outcomes highlighted theenhanced performance of the AISA-HCM technique over the recent state ofart SA approaches with the maximum precision of 0.89, recall of 0.88, Fmeasure of 0.89, and accuracy of 0.94.

关键词： Smart city sentiment analysis artificial intelligence healthcare management metaheuristics deep learning parameter tuning

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