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Relationship between niche breadth and range shifts of Rhinopoma muscatellum(Chiroptera:Rhinopomatidae)in climate change scenarios in arid and semiarid mountainous region of Iran

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Journal of Mountain Science 2021年第9期18卷 2357-2376页

作者： Sasan KAFAEI Peyman KARAMI Robab MEHDIZADEH vahid AKMALI Department of Biology Faculty of ScienceRazi UniversityKermanshah ***Iran Department of Environmental Sciences Faculty of Natural Resources and Environment SciencesMalayer UniversityMalayer 65719-95863Iran

Rapid climate change has provided the opportunity for many species to learn to adapt fast enough to modify their range *** positive and negative responses of the species in terms of distribution are related to parameters such as kind of species,degree of specialization,size and movement skills,and such *** to high elevations and transitions to higher latitudes are among the strategies proposed as a solution to the negative effects of climate ***,predicting how different species respond to climate change can help predict the conservation program for *** distribution models(SDMs)are widely used to predict the geographical distribution of habitat suitability and species *** muscatellum is one of the three mousetailed bats(Rhinopomatidae)inhabiting the southeastern,southern,and southwestern parts of Iran and its distribution range to the interior and northern parts of Iran has been limited by the Elburz and Zagros *** study the effect of climate change on this species,range shifts and coverage of protected regions,74 presence points and environmental variables(climate,topography,anthropogenic,and vegetation)in MaxEnt software were *** the implementation of the model,the autocorrelation of the presence points was reduced and the selection of pseudo absent points was limited by using the bias *** variables were prepared for Mid-Holocene,Current,Climate Current,and Future scenarios in 2070(RCP2.6,RCP4.5,RCP6,and RCP8.5).In order to evaluate the overlap of ecological niche,the Schoener’s D and I statistic metrics were ***,to measure the breadth of the niches,B1(inverse concentration)and B2(uncertainty)metrics in ENMTOOLS software were *** statistics were used as a *** distribution trend changes in climatic scenarios were performed by the Mann Kendall(MK)*** on the results,the AUC values for current and future climate models were calculated to be 0.89 a

关键词： Chiroptera Rhinopoma muscatellum Zagros Mountains Climatic changes MaxEnt Iran

Groundwater quality modeling using self-organizing map(SOM) and geographic information system(GIS) on the Caspian southern coasts

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Journal of Mountain Science 2020年第7期17卷 1724-1734页

作者： vahid GHOLAMI Mohammad Reza KHALEGHI Edris TAGHVAYE SALIMI Department of Range and Watershed Management Faculty of Natural ResourcesUniversity of GuilanRashtIran Department of Range and Watershed Management Torbat-e-Jam BranchIslamic Azad UniversityTorbat-e-JamIran

Groundwater is the main source for water provision in the arid and semi-arid areas such as *** groundwater quality was simulated by using a hybrid model integrating a Self-Organizing Map(SOM)and geographic information system(GIS).SOM and GIS were used as pre-processing and postprocessing tools in the Mazandaran ***,the Ground Water Quality Index(GWQI)and its effective factors were estimated by using digital maps and the secondary *** Solutions software was used for simulating the groundwater *** do this,a model was trained and optimized in the SOM and then the optimized model was *** the next step,the performance of SOM in groundwater quality simulation was confirmed(test stage,Rsqr=0.8,and MSE=0.008).Then,the digital maps of the SOM inputs were converted to raster format in *** the last step,a raster layer was generated by combining the model input layers which comprised the model inputs *** tested SOM was used to simulate GWQI in the sites without the secondary data of the groundwater ***,the groundwater quality map was generated by coupling the results of SOM estimations and GIS *** results revealed that the coupling of SOM and GIS has high performance in the simulation of the groundwater *** to the results,a limited area of the studied plain has groundwater resources with low quality(GWQI>0.04).Therefore,that will be a threat to the life of humans,animals,and vegetative ***,it is necessary to plan for managing the groundwater quality in the Mazandaran plain.

关键词： Simulation GWQI index Optimization Test Groundwater quality map

A multi-functional dynamic state estimator for error validation:measurement and parameter errors and sudden load changes

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Frontiers of Information Technology & Electronic Engineering 2016年第11期17卷 1218-1227页

作者： Mehdi AHMADI JIRDEHI Reza HEMMATI vahid ABBASI Hedayat SABOORI Department of Electrical Engineering Kermanshah University of Technology

We propose a new and efficient algorithm to detect, identify, and correct measurement errors and branch parameter errors of power systems. A dynamic state estimation algorithm is used based on the Kalman filter theory. The proposed algorithm also successfully detects and identifies sudden load changes in power systems. The method uses three normalized vectors to process errors at each sampling time: normalized measurement residual, normalized Lagrange multiplier, and normalized innovation vector. An IEEE 14-bus test system was used to verify and demonstrate the effectiveness of the proposed method. Numerical results are presented and discussed to show the accuracy of the method.

关键词：动态州的评价 Kalman 过滤器测量错误布朗奇参数错误突然的负担变化 TM921

Hybrid denoising-jittering data processing approach to enhance sediment load prediction of muddy rivers

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Journal of Mountain Science 2016年第12期13卷 2135-2146页

作者： Afshin PARTOVIAN vahid NOURANI Mohammad Taghi ALAMI Department of Civil Engineering Najafabad BranchIslamic Azad University Faculty of Civil Engineering University of Tabriz

Successful modeling of hydroenvironmental processes widely relies on quantity and quality of accessible data,and noisy data can affect the modeling *** the other hand in training phase of any Artificial Intelligence(AI) based model,each training data set is usually a limited sample of possible patterns of the process and hence,might not show the behavior of whole ***,in the present paper,wavelet-based denoising method was used to smooth hydrological time ***,small normally distributed noises with the mean of zero and various standard deviations were generated and added to the smooth time series to form different denoised-jittered data ***,the obtained pre-processed data were imposed into Artificial Neural Network(ANN) and Adaptive Neuro-Fuzzy Inference System(ANFIS)models for daily runoff-sediment modeling of the Minnesota *** evaluate the modeling performance,the outcomes were compared with results of multi linear regression(MLR) and Auto Regressive Integrated Moving Average(ARIMA)*** comparison showed that the proposed data processing approach which serves both denoising and jittering techniques could enhance the performance of ANN and ANFIS based runoffsediment modeling of the case study up to 34%and 25%in the verification phase,respectively.

关键词：数据处理方法去噪方法河流输沙量抖动自适应神经模糊推理系统 ANFIS模型人工神经网络影响模型

Image texture indices and trend analysis for forest disturbance assessment under wood harvest regimes

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Journal of Forestry Research 2021年第2期32卷 579-587页

作者： Abdolrassoul Salmanmahiny Malihe Erfani Afshin Danehkar vahid Etemad Department of Environmental Science Gorgan University of Agricultural Sciences and Natural ResourcesGorgānIran Department of Environmental Sciences Faculty of Natural ResourcesUniversity of ZabolZabolIran Department of Environmental Sciences Faculty of Natural ResourcesUniversity of TehranTehranIran Department of Forestry and Forest Economics Faculty of Natural ResourcesUniversity of TehranTehranIran

Effective disturbance indices for Hyrcanian forests in Kheyroud,Nowshahr,Iran were *** study area was divided into landscape mosaics based on ecosystem parameters including profile type,slope and ***-occurrence texture indices were derived as forest disturbance factors on the first five bands of Landsat TM,ETM+and OLI images for the prevailing wood harvest disturbance *** indices were screened using ten types of trend analyses and used for modeling disturbance of the harvesting regime through artificial neural *** results show that the selected indices can be useful in distinguishing areas with different disturbance intensities and as such,used in the context of health assessment through the health distance *** accuracy of the health maps derived from the indices[increasing disturbance]led to give rise higher disturbance classification accuracy.

关键词： Ecosystem health Disturbance Trend analysis Co-occurrence texture indices Landscape mosaics

Nanoplasmonic magneto-optical isolator [Invited]

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Chinese Optics Letters 2021年第8期19卷 130-137页

作者： vahid Foroughi Nezhad Chenglong You Georgios Veronis School of Electrical Engineering and Computer Science Louisiana State UniversityBaton RougeLouisiana 70803USA Center for Computation and Technology Louisiana State UniversityBaton RougeLouisiana 70803USA Department of Physics and Astronomy Louisiana State UniversityBaton RougeLouisiana 70803USA

We introduce a nanoplasmonic isolator that consists of a cylindrical resonator placed close to a metal-dielectric-metal(MDM) waveguide. The material filling the waveguide and resonator is a magneto-optical(MO) material, and the structure is under an externally applied static magnetic field. We theoretically investigate the properties of the structure and show that the cavity mode without MO activity splits into two modes when the MO activity is present. In addition, we find that the presence of the MDM waveguide leads to a second resonance due to the geometrical asymmetry caused by the existence of the waveguide. We also show that, when MO activity is present, the cavity becomes a traveling wave resonator. Thus, the transmission of the structure depends on the direction of the incident light, and the proposed structure operates as an optical isolator.

关键词： plasmonics metal optics magneto-optic systems

Robustness and Iterative Reconstruction of g-Fusion Frames in Hilbert Spaces

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Journal of Mathematical Research with Applications 2021年第3期41卷 270-278页

作者： vahid SADRI Department of Mathematics Faculty of Tabriz Branch Technical and Vocational University (TVU)

Regarding the application of the fusion frames and generalization of them in data proceeding, their iterative is of particular importance when one of their members is deleted. In this note, a method for reconstruction of generalized fusion frames and error operator with its upper bound are presented. Also, the approximation operator for these frames will be introduced and we study some results about them.

关键词： Parseval frame $g$-frame $g$-fusion frame

Interactive labelling of a multivariate dataset for supervised machine learning using linked visualisations,clustering,and active learning

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Visual Informatics 2019年第1期3卷 9-17页

作者： Mohammad chegini Jürgen Bernard Philip Berger Alexei Sourin Keith Andrews Tobias Schreck Graz University of Technology Austria School of Computer Science and Engineering Nanyang Technological UniversitySingapore TU Darmstadt Germany University of Rostock Germany

Supervised machine learning techniques require labelled multivariate training *** approaches address the issue of unlabelled datasets by tightly coupling machine learning algorithms with interactive *** appropriate techniques,analysts can play an active role in a highly interactive and iterative machine learning process to label the dataset and create meaningful *** this principle has been implemented either for unsupervised,semi-supervised,or supervised machine learning tasks,the combination of all three methodologies remains *** this paper,a visual analytics approach is presented,combining a variety of machine learning capabilities with four linked visualisation views,all integrated within the mVis(multivariate Visualiser)*** available palette of techniques allows an analyst to perform exploratory data analysis on a multivariate dataset and divide it into meaningful labelled partitions,from which a classifier can be *** the workflow,the analyst can label interesting patterns or outliers in a semi-supervised process supported by active *** a dataset has been interactively labelled,the analyst can continue the workflow with supervised machine learning to assess to what degree the subsequent classifier has effectively learned the concepts expressed in the labelled training *** a novel technique called automatic dimension selection,interactions the analyst had with dimensions of the multivariate dataset are used to steer the machine learning algorithms.A real-world football dataset is used to show the utility of mVis for a series of analysis and labelling tasks,from initial labelling through iterations of data exploration,clustering,classification,and active learning to refine the named partitions,to finally producing a high-quality labelled training dataset suitable for training a *** tool empowers the analyst with interactive visualisations including scatterplots,parallel

关键词： Labelling Clustering Classification Active learning Multivariate data Visualisation

Towards climate resilient urban energy systems: a review

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National Science Review 2021年第3期8卷 159-176页

作者： vahid M.Nik A.T.D.Perera Deliang Chen Division of Building Physics Department of Building and Environmental Technology Lund University Institute for Future Environments(IFE) Queensland University of Technology(QUT) Regional Climate Group Department of Earth SciencesUniversity of Gothenburg Division of Building Technology Department of Architecture and Civil Engineering Chalmers University of Technology Solar Energy and Building Physics Laboratory(LESO-PB) Ecole Polytechnique Federale de Lausanne(EPFL) Urban Energy Systems Laboratory

Climate change and increased urban population are two major concerns for *** towards more sustainable energy solutions in the urban context by integrating renewable energy technologies supports decarbonizing the energy sector and climate change mitigation.A successful transition also needs adequate consideration of climate change including extreme events to ensure the reliable performance of energy systems in the long *** review provides an overview of and insight into the progress achieved in the energy sector to adapt to climate change,focusing on the climate resilience of urban energy *** state-of-the-art methodology to assess impacts of climate change including extreme events and uncertainties on the design and performance of energy systems is described and *** resilience is an emerging concept that is increasingly used to represent the durability and stable performance of energy systems against extreme climate ***,it has not yet been adequately explored and widely used,as its definition has not been clearly articulated and assessment is mostly based on qualitative *** study reveals that a major limitation in the state-of-the-art is the inadequacy of climate change adaptation approaches in designing and preparing urban energy systems to satisfactorily address plausible extreme climate ***,the complexity of the climate and energy models and the mismatch between their temporal and spatial resolutions are the major limitations in linking these ***,few studies have focused on the design and operation of urban energy infrastructure in terms of climate *** the occurrence of extreme climate events and increasing demand for implementing climate adaptation strategies,the study highlights the importance of improving energy system models to consider future climate variations including extreme events to identify climate resilient energy transition pathways.

关键词： climate resilience climate change adaptation urban energy systems renewable energy extreme events decentralized generation