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| 1 | Impact of climate change on hydropower generation in Rio Jubones Basin, Ecuador显示文摘This study attempted to use the soil and water assessment tool(SWAT), integrated with geographic information systems(GIS), for assessment of climate change impacts on hydropower generation. This methodology of climate change impact modeling was developed and demonstrated through application to a hydropower plant in the Rio Jubones Basin in Ecuador. ArcSWAT 2012 was used to develop a model for simulating the river flow. The model parameters were calibrated and validated on a monthly scale with respect to the hydro-meteorological inputs observed from 1985 to 1991 and from 1992 to 1998, respectively. Statistical analyses produced Nash-Sutcliffe efficiencies(NSEs) of 0.66 and 0.61 for model calibration and validation, respectively, which were considered acceptable. Numerical simulation with the model indicated that climate change could alter the seasonal flow regime of the basin, and the hydropower potential could change due to the changing climate in the future.Scenario analysis indicates that, though the hydropower generation will increase in the wet season, the plant will face a significant power shortage during the dry season, up to 13.14% from the reference scenario, as a consequence of a 17% reduction of streamflow under an assumption of a 2.9℃ increase in temperature and a 15% decrease in rainfall. Overall, this study showed that hydrological processes are realistically modeled with SWAT and the model can be a useful tool for predicting the impact of climate change. | Mohammad Mehedi Hasan Guido Wyseure | 2018 | Water Science and Engineering2018，11，2： | 5 |
| 2 | Review of transition paths for coal-fired power plants显示文摘The energy sector has an essential role in limiting the global average temperature increase to below 2°C.Redirecting and advancing technological progress contribute to carbon-free transition solutions.Energy transition is currently one of the most debated issues in the world.This paper reviews and summarizes the current policy projections and their assumptions organized by some major countries in the energy sector,particularly in the coal sector,and provides a detailed discussion on specific and significant socio-technical pathways taken by countries to achieve zero-carbon targets.Their implementation involves restructuring the existing energy system and requires appropriate policy support and sufficient investment in infrastructure development and technological innovation.Some basic principles and countermeasures that have already been implemented by some major emitters,such as India and China,are also discussed,with different transformation pathways.Critical suggestions are also provided,such as implementing best practice policies at the national level,moving to more efficient transition strategies,national and regional cooperation,cross-border energy grid integration,and private sector involvement to reduce carbon emissions from coal-fired power plants,not only by reducing coal consumption but also by introducing various low carbon technologies. | Fulong Song Hasan Mehedi Caihao Liang Jing Meng Zhengxi Chen Fang Shi | 2021 | Global Energy Interconnection2021，4，4： | 5 |
| 3 | Graphene-Coated Optical Fiber SPR Biosensor for BRCA1 and BRCA2 Breast Cancer Biomarker Detection:a Numerical Design-Based Analysis显示文摘This paper provides a simple hybrid design and numerical analysis of the graphene-coated fiber-optic surface plasmon resonance(SPR)biosensor for breast cancer gene-1 early onset(BRCA1)and breast cancer gene-2 early onset(BRCA2)genetic breast cancer detection.Two specific mutations named 916delTT and 6174delT in the BRCA1 and BRCA2 are selected for numerical detection of breast cancer.This sensor is based on the technique of the attenuated total reflection(ATR)method to detect deoxyribonucleic acid(DNA)hybridization along with individual point mutations in BRCA1 and BRCA2 genes.We have numerically shown that momentous changes present in the SPR angle(minimum:135%more)and surface resonance frequency(SRF)(minimum:136%more)for probe DNA with various concentrations of target DNA corresponding to a mutation of the BRCA1 and BRCA2 genes.The variation of the SPR angle and SRF for mismatched DNA strands is quite negligible,whereas that for complementary DNA strands is considerable,which is essential for proper detection of genetic biomarkers(916delTT and 6174delT)for early breast cancer.At last,the effect of electric field distribution in inserting graphene layer is analyzed incorporating the finite difference time domain(FDTD)technique by using Lumerical FDTD solution commercial software.To the best of our knowledge,this is the first demonstration of such a highly efficient biosensor for detecting BRCA1 and BRCA2 breast cancer.Therefore,the proposed biosensor opens a new window toward the detection of breast cancers. | Md.Biplob HOSSAIN Md.Muztahidul ISLAM Lway Faisal ABDULRAZAK Md.Masud RANA Tarik Bin Abdul AKIB Mehedi HASSAN | 2020 | Photonic Sensors2020，10，1： | 4 |
| 4 | Plant Disease Diagnosis and Image Classification Using Deep Learning显示文摘Indian agriculture is striving to achieve sustainable intensification,the system aiming to increase agricultural yield per unit area without harming natural resources and the ecosystem.Modern farming employs technology to improve productivity.Early and accurate analysis and diagnosis of plant disease is very helpful in reducing plant diseases and improving plant health and food crop productivity.Plant disease experts are not available in remote areas thus there is a requirement of automatic low-cost,approachable and reliable solutions to identify the plant diseases without the laboratory inspection and expert’s opinion.Deep learning-based computer vision techniques like Convolutional Neural Network(CNN)and traditional machine learning-based image classification approaches are being applied to identify plant diseases.In this paper,the CNN model is proposed for the classification of rice and potato plant leaf diseases.Rice leaves are diagnosed with bacterial blight,blast,brown spot and tungro diseases.Potato leaf images are classified into three classes:healthy leaves,early blight and late blight diseases.Rice leaf dataset with 5932 images and 1500 potato leaf images are used in the study.The proposed CNN model was able to learn hidden patterns from the raw images and classify rice images with 99.58%accuracy and potato leaves with 97.66%accuracy.The results demonstrate that the proposed CNN model performed better when compared with other machine learning image classifiers such as Support Vector Machine(SVM),K-Nearest Neighbors(KNN),Decision Tree and Random Forest. | Rahul Sharma Amar Singh Kavita N.Z.Jhanjhi Mehedi Masud Emad Sami Jaha Sahil Verma | 2022 | Computers, Materials & Continua2022，，5： | 4 |
| 5 | Guest Editorial for Special Issue on Blockchain for Internet-of-Things and Cyber-Physical Systems显示文摘Cyber-physical systems(CPS)are increasingly commonplace,with applications in energy,health,transportation,and many other sectors.One of the major requirements in CPS is that the interaction between cyber-world and man-made physical world(exchanging and sharing of data and information with other physical objects and systems)must be safe,especially in bi-directional communications.In particular,there is a need to suitably address security and/or privacy concerns in this human-in-the-loop CPS ecosystem.However,existing centralized architecture models in CPS,and also the more general IoT systems,have a number of associated limitations,in terms of single point of failure,data privacy,security,robustness,etc.Such limitations reinforce the importance of designing reliable,secure and privacy-preserving distributed solutions and other novel approaches,such as those based on blockchain technology due to its features(e.g.,decentralization,transparency and immutability of data).This is the focus of this special issue. | Mohammad Mehedi Hassan Giancarlo Fortino Laurence T.Yang Hai Jiang Kim-Kwang Raymond Choo Jun Jason Zhang Fei-Yue Wang | 2021 | IEEE/CAA Journal of Automatica Sinica2021，8，12： | 2 |
| 6 | Automated Identification Algorithm Using CNN for Computer Vision in Smart Refrigerators显示文摘Machine Learning has evolved with a variety of algorithms to enable state-of-the-art computer vision applications.In particular the need for automating the process of real-time food item identification,there is a huge surge of research so as to make smarter refrigerators.According to a survey by the Food and Agriculture Organization of the United Nations(FAO),it has been found that 1.3 billion tons of food is wasted by consumers around the world due to either food spoilage or expiry and a large amount of food is wasted from homes and restaurants itself.Smart refrigerators have been very successful in playing a pivotal role in mitigating this problem of food wastage.But a major issue is the high cost of available smart refrigerators and the lack of accurate design algorithms which can help achieve computer vision in any ordinary refrigerator.To address these issues,this work proposes an automated identification algorithm for computer vision in smart refrigerators using InceptionV3 and MobileNet Convolutional Neural Network(CNN)architectures.The designed module and algorithm have been elaborated in detail and are considerably evaluated for its accuracy using test images on standard fruits and vegetable datasets.A total of eight test cases are considered with accuracy and training time as the performance metric.In the end,real-time testing results are also presented which validates the system’s performance. | Pulkit Jain Paras Chawla Mehedi Masud Shubham Mahajan Amit Kant Pandit | 2022 | Computers, Materials & Continua2022，，5： | 2 |
| 7 | Mechanical Stabilization of Cemented Soil Fly Ash Mixtures with Recycled Plastic Strips显示文摘 | Khaled Sobhan Mehedy Mashnad | 2003 | Journal of Materials in Civil Engineering2003，，10： | 1 |
| 8 | Transaction processing in a peer to peer database network显示文摘 | Mehedi MasudMasud Iluju KiringaMasud | | 0，，04： | 1 |
| 9 | Miniaturized Novel UWB Band-Notch Textile Antenna for Body Area Networks显示文摘This paper presents the design and analysis of a miniaturized and novel wearable ultra-wideband(UWB)band-notch textile antenna for Body Area Networks(BANs).The major goal of building the antenna for wearable applications with band notch in X-band is to reject the downlink band(7.25 to 7.75 GHz)of satellite communication in the UWB frequency ranges of 3.1–10.6 GHz to keep away from interference.Computer Simulation Technology(CST)TM Microwave Studio,which is user-friendly and reliable,was used to model and simulate the antenna.The radiating element of the antenna is designed on Jeans’textile substrate,which has a relative permittivity of 1.7.The thickness of the jeans’fabric substrate has been considered to be 1 mm.Return loss,gain,bandwidth,impedance,radiation,and total efficiency,and radiation patterns are presented and investigated.The antenna is simulated placed on the three layers of the human body model,and the on-body results are summarized in comparison with free space.Results and analysis indicate that this antenna has good band-notch characteristics in the frequency range of 7.25 GHz to 7.75 GHz.The parametric study varying the relative permittivity of Jeans’fabric substrate of this antenna is also evaluated.In addition,effects on the antenna parameters of variation of ground plane size have been reported.The antenna is 25 mm×16 mm×1.07 mm in total volume.Results reveal that this antenna achieves the design goal and performs well both in free space and on the body. | Mohammad Monirujjaman Khan Arifa Sultana Mehedi Masud Gurjot Singh Gaba Hesham A.Alhumyani | 2022 | Computer Systems Science & Engineering2022，40，3： | 1 |
| 10 | Speed control of induc- tion motor using FOC method 显示文摘 | Hafeezul Haq Mehedi Hasan Imran | 2015 | International Journal of En- gineering Research and Applications2015，5，3： | 1 |
| 11 | COVID-19 pandemic effects on the distribution of healthcare services in India: A systematic review显示文摘BACKGROUND The coronavirus disease 2019(COVID-19)pandemic has brought fundamental changes to our problems and priorities,especially those related to the healthcare sector.India was one of the countries severely affected by the harsh consequences of the COVID-19 pandemic.AIM To understand the challenges faced by the healthcare system during a pandemic.METHODS The literature search for this review was conducted using PubMed,EMBASE,Scopus,Web of Science,and Google Scholar.We also used Reference Citation Analysis(RCA)to search and improve the results.We focused on the published scientific articles concerned with two major vital areas:(1)The Indian healthcare system;and(2)COVID-19 pandemic effects on the Indian healthcare system.RESULTS The Indian healthcare system was suffering even before the pandemic.The pandemic has further stretched the healthcare services in India.The main obstacle in the healthcare system was to combat the rising number of communicable as well as noncommunicable diseases.Besides the pandemic measures,there was a diversion of focus of the already established healthcare services away from the chronic conditions and vaccinations.The disruption of the vaccination services may have more severe short and long-term consequences than the pandemic’s adverse effects.CONCLUSION Severely restricted resources limited the interaction of the Indian healthcare system with the COVID-19 pandemic.Re-establishment of primary healthcare services,maternal and child health services,noncommunicable diseases programs,National Tuberculosis Elimination Program,etc.are important to prevent serious long-term consequences of this pandemic. | Nirav Nimavat Mohammad Mehedi Hasan Sundip Charmode Gowthamm Mandala Ghanshyam R Parmar Ranvir Bhangu Israr Khan Shruti Singh Amit Agrawal Ashish Shah Vishi Sachdeva | 2022 | World Journal of Virology2022，11，4： | 1 |
| 12 | Pericyte-mediated vasoconstriction underlies TBI-induced hypoperfusion显示文摘 | Dore-Duffy P Wang S Mehedi A | 2011 | Neurol Res2011，33，2： | 1 |
| 13 | A new Ebola virus nonstruetural glycoprotein expressed through RNA editing显示文摘 | Mehedi M Falzarano D Seebach J eta/ | 2011 | J Virol2011，85，11： | 1 |
| 14 | A market-oriented dynamic collaborative cloud services platform显示文摘 | Hassan Mohammad Mehedi Song B | 2010 | Annals of Telecommunications-Annales Des Telecommunications2010，，： | 1 |
| 15 | SVM and KNN Based CNN Architectures for Plant Classification显示文摘Automatic plant classification through plant leaf is a classical problem in Computer Vision.Plants classification is challenging due to the introduction of new species with a similar pattern and look-a-like.Many efforts are made to automate plant classification using plant leaf,plant flower,bark,or stem.After much effort,it has been proven that leaf is the most reliable source for plant classification.But it is challenging to identify a plant with the help of leaf structure because plant leaf shows similarity in morphological variations,like sizes,textures,shapes,and venation.Therefore,it is required to normalize all plant leaves into the same size to get better performance.Convolutional Neural Networks(CNN)provides a fair amount of accuracy when leaves are classified using this approach.But the performance can be improved by classifying using the traditional approach after applying CNN.In this paper,two approaches,namely CNN+Support Vector Machine(SVM)and CNN+K-Nearest Neighbors(kNN)used on 3 datasets,namely LeafSnap dataset,Flavia Dataset,and MalayaKew Dataset.The datasets are augmented to take care all the possibilities.The assessments and correlations of the predetermined feature extractor models are given.CNN+kNN managed to reach maximum accuracy of 99.5%,97.4%,and 80.04%,respectively,in the three datasets. | Sukanta Ghosh Amar Singh Kavita N.Z.Jhanjhi Mehedi Masud Sultan Aljahdali | 2022 | Computers, Materials & Continua2022，，6： | 1 |
| 16 | Power generation expansion planning approach considering carbon emission constraints显示文摘Decarbonization of the power sector in China is an essential aspect of the energy transition process to achieve carbon neutrality.The power sector accounts for approximately 40%of China’s total CO_(2) emissions.Accordingly,collaborative optimization in power generation expansion planning(GEP)simultaneously considering economic,environmental,and technological concerns as carbon emissions is necessary.This paper proposes a collaborative mixedinteger linear programming optimization approach for GEP.This minimizes the power system’s operating cost to resolve emission concerns considering energy development strategies,flexible generation,and resource limitations constraints.This research further analyzes the advantages and disadvantages of current GEP techniques.Results show that the main determinants of new investment decisions are carbon emissions,reserve margins,resource availability,fuel consumption,and fuel price.The proposed optimization method is simulated and validated based on China’s power system data.Finally,this study provides policy recommendations on the flexible management of traditional power sources,the market-oriented mechanism of new energy sources,and the integration of new technology to support the attainment of carbon-neutral targets in the current energy transition process. | Hasan Mehedi Xiaobin Wang Shilong Ye Guiting Xue Islam Md Shariful Fang Shi | 2023 | Global Energy Interconnection2023，6，2： | 1 |
| 17 | Frequency interleaving towards spectrally efficient directly detected optical OFDM for next-generation optical access networks显示文摘 | MEHEDY L BAKAUL M NIRMALATHAS A | 2010 | Optics Express2010，18，23： | 1 |
| 18 | A new Ebola virus non- structural glycoprotein expressed through RNA editing显示文摘 | Mehedi M Falzarano D 5eebaeh J etal | 2011 | J Virol2011，85，11： | 1 |
| 19 | A Relativistic Model for Strange Quark Star显示文摘 | Mehedi Kalam Anisul Ain Usmani Farook Rahaman S. Monowar Hossein Indrani Karar Ranjan Sharma | 2013 | International Journal of Theoretical Physics2013，，9： | 1 |
| 20 | Frequency interleaving towards spectrally efficient directly detected optical OFDM for next-generation optical access networks显示文摘 | MEHEDY L BAKAUL M NIRMALATHAS A | 2010 | Optics Express2010，18，23： | 1 |
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