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Asian Herpetological Research 2016年第2期7卷 96-102页

作者： Seyyed Saeed HOSSEINIAN YOUSEFKHANI omid mirshamsi Cetin ILGAZ Yusuf KUMLUTAS Aziz AVCI Department of Biology Faculty of ScienceFerdowsi University of MashhadMashhadIran Zoological Innovations Research Department Institute of Applied ZoologyFaculty of SciencesFerdowsi University of MashhadMashhadIran Dokuz Eyliil University Faculty of ScienceDepartment of Biology35160 BucaizmirTurkey Adnan Menderes University Faculty of Science and ArtsDepartment of Biology09010 AydmTurkey

Modeling the potential distribution areas for a given species is important in understanding the relationship between the actual distribution and the most suitable habitat for a species. In this study, we obtained all available records of Trapelus ruderatus and Trapelus persicus from museums, literature and fieldwork and used them with environmental layers in the Maximum Entropy algorithm to predict highly suitable habitat areas. The distribution model of T. ruderatus and T. persicus showed excellent performance for both models （T. ruderatus AUC = 0.964 ± 0.001 and T. persicus AUC = 0.996 ± 0.003）, and predicted suitable regions in Iran, Turkey, Iraq and Syria. Niche overlap was measured between the two groups by ENMtools and 13% overlapped. We used a niche identity test to determine differences between the niches of the two species. Finally, by comparing our null hypothesis to the true niche overlap of the two species, we were able to reject our null hypothesis of no difference between the niches. Due to the sympatric distribution pattern of these species, we do not need a background test for niche divergence.

关键词： MaxEnt modeling habitat suitability niche differentiation Trapelus ruderatus Trapelus persicus MiddleEast

Optimized design of a linear vibrating screen based on efficiency maximisation and mesh wear minimisation employing discrete element method

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Particuology 2024年第7期90卷 307-322页

作者： omid Afsari Kamyar Hashemnia School of Mechanical Engineering Shiraz UniversityMolla Sadra St.ShirazIran

This article investigates the combined effect and the order of influence of feed rate,inclination angle,vibration amplitude,frequency,and angle on the efficiency and mesh wear rate of a linear vibrating screen,as well as the average velocity,and mass of the accumulated *** discrete element modeling simulations were conducted using LIGGGHTS open-source code to analyze particles *** Taguchi method was employed to evaluate the combined effect of the ***,the simulation results were analyzed using analysis of *** optimal values of the parameters for maximising efficiency and minimising mesh wear were determined using grey relational *** results indicated that the most effective parameters on screening efficiency and average velocity of particles were the inclination angle,vibration angle,frequency,amplitude,and feed rate,*** most influential parameters on screen mesh wear rate were feed rate,inclination angle,vibration angle,frequency,and amplitude,respectively.

关键词： Discrete element modeling Granular material Taguchi method Vibrating screen Wear

Tensile strength and failure behavior of rock-mortar interfaces: Direct and indirect measurements

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第1期16卷 41-55页

作者： Ghasem Shams Patrice Rivard omid Moradian Civil Engineering and Building Engineering Department Universitéde SherbrookeSherbrookeQuébecCanada Department of Earth Sciences Swiss Federal Institute of Technology(ETH)ZurichSwitzerland Department of Civil and Environmental Engineering Colorado School of MinesGoldenCOUSA

The tensile strength at the rock-concrete interface is one of the crucial factors controlling the failure mechanisms of structures,such as concrete gravity *** the critical importance of the failure mechanism and tensile strength of rock-concrete interfaces,understanding of these factors remains very *** study investigated the tensile strength and fracturing processes at rock-mortar interfaces subjected to direct and indirect tensile *** image correlation(DIC)and acoustic emission(AE)techniques were used to monitor the failure mechanisms of specimens subjected to direct tension and indirect loading(Brazilian tests).The results indicated that the direct tensile strength of the rock-mortar specimens was lower than their indirect tensile strength,with a direct/indirect tensile strength ratio of 65%.DIC strain field data and moment tensor inversions(MTI)of AE events indicated that a significant number of shear microcracks occurred in the specimens subjected to the Brazilian *** presence of these shear microcracks,which require more energy to break,resulted in a higher tensile strength during the Brazilian *** contrast,microcracks were predominantly tensile in specimens subjected to direct tension,leading to a lower tensile *** monitoring of the cracking processes in the rock-mortar interfaces revealed that they show AE precursors before failure under the Brazilian test,whereas they show a minimal number of AE events before failure under direct *** to different microcracking mechanisms,specimens tested under Brazilian tests showed lower roughness with flatter fracture surfaces than those tested under direct tension with jagged and rough fracture *** results of this study shed light on better understanding the micromechanics of damage in the rock-concrete interfaces for a safer design of engineering structures.

关键词： Rock-mortar Rock-concrete Moment tensor inversion(MTI) Acoustic emission(AE) Digital image correlation(DIC) Tensile strength Direct tensile test Brazilian test

Laboratory study of a hydronic concrete deck heated externally in a controlled sub-freezing environment

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Energy and Built Environment 2024年第1期5卷 9-23页

作者： Mark Hurley omid Habibzadeh-Bigdarvish Gang Lei Xinbao Yu Department of Civil Engineering University of Texas at ArlingtonTX 76019United States

Geothermal heating of bridge decks is a reliable and sustainable method for bridge de-icing that has been in-creasing in demand since conventional de-icing methods were proved to be environmentally *** research on geothermal heating of bridge decks relied on hydronic pipes embedded inside of bridge decks,which are confined to newly constructed *** existing bridges,a newly devised method for external heating has been recently tested under limited laboratory conditions to determine its overall *** study explores laboratory heating tests of a concrete slab with a thickness representing a typical concrete bridge *** slab was equipped with a simulated geothermal bridge de-icing system and tested inside a freezer subjected to sub-freezing controlled *** winter scenarios were applied to the system to determine its heat-ing performance and how feasible it will be for the system to be transferred to the field.A prediction equation was developed to estimate the total energy reserves required to permit de-icing,and statistical analysis was performed and validated with test *** slab surface heat flux was estimated to range from 27 W/m^(2) K to 73 W/m^(2) K from the heating *** externally-heated deck can be designed with the developed prediction equation for snow melting.

关键词： Thermal demands Bridge deck de-icing Attached hydronic loops Heated bridge deck Heat flux analysis

Revealing connectivity in residential Architecture: An algorithmic approach to extracting adjacency matrices from floor plans

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Frontiers of Architectural Research 2024年第2期13卷 370-386页

作者： Mohammad Amin Moradi omid Mohammadrashidi Navid Niazkar Morteza Rahbar School of Architecture and Engineering University College of RouzbahanMazandaranIran School of Architecture Islamic Azad UniversitySafaDasht CampusTehranIran A.James Clark School of Engineering University of MarylandCollege ParkMDUSA School of Architecture and Environmental Design Iran University of Science and TechnologyTehranIran

In today's world, various approaches and parameters exist for designing a plan and determining its spatial, placement. Hence, various modes for identifying crucial locations can be explored when an architectural plan is designed in different dimensions. While designing all these modes takes considerable time, there are numerous potential applications for artificial intelligence (AI) in this domain. This study aims to compute and use an adjacency matrix to generate architectural residential plans. Additionally, it develops a plan generation algorithm in Rhinoceros software, utilizing the Grasshopper plugin to create a dataset of architectural plans. In the following step, the data was entered into a neural network to identify the architectural plan's type, furniture, icons, and use of spaces, which was achieved using YOLOv4, EfficientDet, YOLOv5, DetectoRS, and RetinaNet. The algorithm's execution, testing, and training were conducted using Darknet and PyTorch. The research dataset comprises 12,000 plans, with 70% employed in the training phase and 30% in the testing phase. The network was appropriately trained practically and precisely in relation to an average precision (AP) resulting of 91.50%. After detecting the types of space use, the main research algorithm has been designed and coded, which includes determining the adjacency matrix of architectural plan spaces in seven stages. All research processes were conducted in Python, including dataset preparation, network object detection, and adjacency matrix algorithm design. Finally, the adjacency matrix is given to the input of the proposed plan generator network, which consequently, based on the resulting adjacency, obtains different placement modes for spaces and furniture.

关键词： Algorithm design Adjacency matrix Generate floor plan Detection plan

Heating-Cooling Monitoring and Power Consumption Forecasting Using LSTM for Energy-Efficient Smart Management of Buildings: A Computational Intelligence Solution for Smart Homes

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Tsinghua Science and Technology 2024年第1期29卷 143-157页

作者： omid Akbarzadeh Sahand Hamzehei Hani Attar Ayman Amer Nazanin Fasihihour Mohammad R.Khosravi Ahmed A.Solyman Department of Electronics and Telecommunications Politecnico di TorinoTurin 10129Italy Department of Energy Engineering Zarqa UniversityZarqa 13110Jordan Shandong Provincial University Laboratory for Protected Horticulture Weifang University of Science and TechnologyWeifang 262799China Department of Electrical and Electronics Engineering Faculty of Engineering and ArchitectureNisantası UniversityIstanbul 25370The Republic of Turkiye

Energy management in smart homes is one of the most critical problems for the Quality of Life(QoL)and preserving energy *** of the relevant issues in this subject is environmental contamination,which threatens the world's *** computing-enabled Artificial Intelligence(Al)algorithms can provide impactful solutions to this *** research proposes using one of the Recurrent Neural Network(RNN)algorithms known as Long Short-Term Memory(LSTM)to comprehend how it is feasible to perform the cloud/fog/edge-enabled prediction of the building's *** parameters of power electricity,power heating,power cooling,and total power in an office/home in cold-climate cities are considered as our features in the *** on the collected data,we evaluate the LSTM approach for forecasting parameters for the next year to predict energy consumption and online monitoring of the model's performance under various *** implementing the Al predictive algorithm,several existing tools are *** results have been generated through simulations,and we find them promisingforfutureapplications.

关键词： design-builder Besos smart cities smart building neural network Long Short-Term Memory(LSTM)

Nanomaterial-assisted wearable glucose biosensors for noninvasive real-time monitoring:Pioneering point-of-care and beyond

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Nano Materials Science 2024年第3期6卷 263-283页

作者： Moein Safarkhani Abdullah Aldhaher Golnaz Heidari Ehsan Nazarzadeh Zare Majid Ebrahimi Warkiani omid Akhavan YunSuk Huh Navid Rabiee NanoBio High-Tech Materials Research Center Department of Biological Sciences and BioengineeringInha UniversityIncheon22212Republic of Korea Department of Chemistry Sharif University of TechnologyTehranIran School of Natural Sciences Massey UniversityPrivate Bag 11222Palmerston North4410New Zealand School of Chemistry Damghan UniversityDamghan36716-45667Iran School of Biomedical Engineering University of Technology SydneySydneyNSW2007Australia Department of Physics Sharif University of TechnologyP.O.Box 11155-9161TehranIran Centre for Molecular Medicine and Innovative Therapeutics Murdoch UniversityPerthWA 6150Australia School of Engineering Macquarie UniversitySydneyNew South Wales2109Australia

This review explores glucose monitoring and management strategies,emphasizing the need for reliable and userfriendly wearable sensors that are the next generation of sensors for continuous glucose *** addition,examines key strategies for designing glucose sensors that are multi-functional,reliable,and cost-effective in a variety of *** unique features of effective diabetes management technology are highlighted,with a focus on using nano/biosensor devices that can quickly and accurately detect glucose levels in the blood,improving patient treatment and control of potential diabetes-related *** potential of next-generation wearable and touch-sensitive nano biomedical sensor engineering designs for providing full control in assessing implantable,continuous glucose monitoring is also *** challenges of standardizing drug or insulin delivery doses,low-cost,real-time detection of increased blood sugar levels in diabetics,and early digital health awareness controls for the adverse effects of injectable medication are identified as unmet ***,the market for biosensors is expected to expand significantly due to the rising need for portable diagnostic equipment and an ever-increasing diabetic *** paper concludes by emphasizing the need for further research and development of glucose biosensors to meet the stringent requirements for sensitivity and specificity imposed by clinical diagnostics while being cost-effective,stable,and durable.

关键词： Glucose sensor Biosensor Wearable devices Noninvasive Real-time monitoring

Airborne GNSS-Receiver Threat Detection in No-Fading Environments

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Journal of Beijing Institute of Technology 2022年第6期31卷 613-620页

作者： omid Sharifi-Tehrani Department of Electrical and Communication Engineering Imam Hussein Comprehensive UniversityTehranIran.

Jamming and spoofing detection of global navigation satellite systems(GNSS)is of great *** and military aerial platforms use GNSS as main navigation systems and these systems are main target of threat *** this paper a simple method based on different empirical probability density functions of successive received signal powers and goodness of fit tech-nique is proposed for airborne platforms such as unmanned aerial vehicle(UAV),in no fading *** two different paths between UAV-satellite and UAV-threat,experience different empirical probability density functions which can be used to distinguish between authentic and threat *** results including detection and false alarm probabilities show good perfor-mance of proposed method as well as low computational burden.

关键词： detection global navigation satellite systems(GNSS) jamming spoofing unmanned aerial vehicle

Soil evolution along an alluvial-loess transect in the Herat Plain,western Afghanistan

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Journal of Arid Land 2022年第11期14卷 1317-1330页

作者： Farsila MAHMOUDIAN Alireza KARIMI omid BAYAT Department of Soil Science Faculty of AgricultureHerat UniversityHerat 3001-272806Afghanistan Department of Soil Science Faculty of AgricultureFerdowsi University of MashhadMashhad ***Iran

Afghanistan is located in the Eurasian loess belt,however,there is little information on the soils in the *** has covered the Herat Plain in western Herat City,*** the diversity of landform and parent material,there is no information on the soil and landform evolution in this *** objectives of this study were to identify the soils along a transect of different landforms in the Herat Plain and determine the role of geomorphic processes on the soil and landform *** pedons from an alluvial fan,the depression between alluvial fan and piedmont plain,saline and non-saline piedmont plains,and the flood plain of the Hariroud River,were ***,the physical-chemical properties,mineralogy,and micromorphology of the samples were *** showed that the soil parent material in the piedmont plain is loess,whereas,in the flood plain it is a combination of loess and river alluvial ***,lessivage,salinization,and gleization are the most important pedogenic *** calcification and lessivage appear to be the result of a wetter climate during the late Quaternary,whereas the present topography causes the gleization and *** coatings on carbonate nodules and iron nodules are abundant pedofeatures in the Btk(argillic-calcic)*** oxides nodules are common in the soils of the flood *** formation of palygorskite in both alluvial-and loess-derived soils implies the onset of aridity and the trend of increase in environmental aridity in the *** seems that after the formation of a well developed paleosol on the alluvial fan in a more humid climate in the past,the piedmont plain has been covered by loess deposits,and the calcification,gleization,and salinization cause the formation of weakly developed surficial *** study highlights the role of the late Quaternary climatic changes on the evolution of landforms and soils in western Afghanistan.

关键词： alluvial fan loess-derived soils paleosol gleization Hariroud River

The application of ResU-net and OBIA for landslide detection from multi-temporal Sentinel-2 images

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Big Earth Data 2023年第4期7卷 961-985页

作者： omid Ghorbanzadeh Khalil Gholamnia Pedram Ghamisi alnstitute of Advanced Research in Artificial Intelligence(IARAl) ViennaAustria Department of Remote Sensing and GIS University of TabrizTabrizIran Machine Learning Group Helmholtz-Zentrum Dresden-RossendorfHelmholtz Institute Freiberg for Resource TechnologyFreibergGermany

Landslide detection is a hot topic in the remote sensing community,particularly with the current rapid growth in volume(and variety)of Earth observation data and the substantial progress of computer *** learning algorithms,especially fully convolutional networks(FCNs),and variations like the ResU-Net have been used recently as rapid and automatic landslide detection *** FCNs have shown cutting-edge results in automatic landslide detection,accuracy can be improved by adding prior knowledge through possible *** study evaluates a rulebased object-based image analysis(OBIA)approach built on probabilities resulting from the ResU-Net model for landslide *** train the ResU-Net model using a landslide dataset comprising landslide inventories from various geographic regions,including our study area and test the testing area not used for *** the OBIA stage,we frst calculate land cover and image difference indices for pre-and post-landslide multi-temporal ***,we use the generated indices and the resulting ResU-Net probabilities for image segmentation;the extracted landslide object candidates are then optimized using rule-based *** the result validation section,the landslide detection of the proposed integration of the ResU-Net with a rule-based classification of OBIA is compared with that of the ResU-Net *** proposed approach improves the mean intersection-over-union of the resulting map from the ResU-Net by more than 22%.

关键词： Deep learning(DL) Eastern Iburi Japan European Space Agency(ESA) Fully Convolutional Networks(FCNs) object-based image analysis(OBIA) rapid landslide mapping ResUnet Sentinel-2