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2011 3rd International Conference on Computer Research and Development(ICCRD 2011)

作者： ali rafiee Reza Tavakoli Reza Dianat Sara Abbaspour Mehregan Jamshidi Electrical Department Islamic Azad University-Kazeroun Branch Kazeroun Iran Islamic Azad University-bushehr Branch bushehr Iran Persian Gulf University Bushehr Iran Islamic Azad University-Kazeroun Branch Kazeroun Iran

The fire and smoke monitoring systems are useful in different industry such as military,social security and *** recent methods for fire and smoke detection are used only motion and color characteristics thus many wrong alarms are happening and this is decrease the performance of the *** research presents a new method for fire and smoke detection through image *** this algorithm all objects in an image is considered and then check them to figure out which objects are smoke and *** color,motion and disorder are useful characteristics in fire and smoke detection *** of fire will blur the whole or part of the *** by processing of the video frames,different objects will *** to evaluate the features of objects,the goal objects （fire and smoke） can be defined ***-dimensional wavelet analysis is used in the presented *** results of this research present the proposed features that can reduce the wrong alarms and increase the system performances.

关键词： Fire and smoke detection Wavelet analysis Disorder features Color and motion features

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Piezoelectric atomizer in aeroponic systems:A study of some fluid properties and optimization of operational parameters

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Information Processing in Agriculture 2023年第4期10卷 564-580页

作者： Amir Hossein Mirzabe ali Hajiahmad ali Fadavi Shahin rafiee Department of Mechanics of Biosystem Engineering Faculty of Engineering&TechnologyCollege of Agriculture&Natural ResourcesUniversity of TehranKaraj ***Iran Department of Food Technology College of AburaihanUniversity of TehranTehran ***Iran

The piezoelectric method to atomize fluids in aeroponic systems is known as a new *** the current study,the effects of four independent variables on the misting rate were *** variables were Dosage of Chemical Fertilizer(DCF),the Height of Solution above Piezoelectric Ceramic(HSPC),Piezoelectric Location at the Bottom of the Container(PLBC),and the Container Geometry(CG).Physical properties such as fluid density,viscosity,surface tension,Total Dissolved Solids(TDS),and Electrical Conductivity(EC)of the solutions were ***,optimization was performed to determine suitable ranges of independent variables to get the optimum value of the misting *** showed that the HSPC,PLBC,and CG significantly affect the total misting rate(P<1%).Besides,the DCF,HSPC,and CG have significant effects on surface evaporation at a probability level of 1%.At the temperature of 25℃and for different concentrations of fertilizer,the density,viscosity,surface tension,TDS,and EC varied between 1002-1006.5 kg/m^(3),1.009-1.395 mPas,0.07182-0.07298 N/m,253-3397 mg/L,502-6795 mS/cm,*** misting rate ranged between 0.499 and 5.720 g/*** the outlet of the mist generation container,mass flow rate was in the range of 59.895 to 65.116 g/***,theoretically calculated mist average droplet size was in the range of 2.90 to 2.92 mm for different fertilizer *** present study is the first research on the factors affecting the ultrasonic mist production rate in an aeroponic *** future developments,effect of voltage,frequency,and using horn should be ***,similar research should be done in the field of gas-phase bioreactors(mist bioreactors).

关键词： Chemical fertilizer Ultrasonic Misting rate Viscosity Surface tension Surface evaporation

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Tree-Temperature Monitoring for Frost Protection of Orchards in Semi-Arid Regions Using Sprinkler Irrigation

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Agricultural Sciences in China 2009年第1期8卷 98-107页

作者： ali Asghar Ghaemi Mohammad Rafie rafiee ali Reza Sepaskhah Irrigation Department College of AgricultureShiraz University

Automated over-tree sprinkler irrigation systems were developed and tested in two orchards located in two separate locations in southern Iran （a 0.17 ha peach orchard and a 0.24 ha orange orchard） to protect peach blossoms and orange trees leaves and fruits from low temperature damage. The experiment used a system that monitored the trees and air temperatures using two thermistors. The water application rate by the irrigation system was determined by an energy balance as implemented by the software FROSTPRO, In the peach orchard, the system was tested during three frost events during the spring of 2003 and three other events during the spring of 2004. The system successfully kept peach flowers above the critical temperature, i.e., -4.0℃ in spring 2004 （control block -4.12℃, and sprinkled block ＋0.5℃） during all events. Similar results were obtained in the orange orchard during three frost events in the winter of 2004, during which the tree temperatures were at least 2.5℃ above the critical temperature. Results from field tests show that the system can effectively protect the peach blossoms from damage. Determination done after the frost events showed a 12% blossom kill in the sprinkled blocks while in the unsprinkled control block a 41.5% blossom kill. Calculations indicated that when using variable application rates, the amount of water used can be reduced by 54.3%. Spatial distribution of minimum temperatures during the three frosts was also studied in Jahrom, Iran. Results showed a significant temperature control in the experimental block, especially in the central part of the orchard, but the block margins （about 3.6% of the total area） were at the risk of low temperature due to the wind drift effects.

关键词： automated sprinkler irrigation FROSTPORO frost protection peach orchard orange orchard

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Land use change modeling through an integrated Multi-Layer Perceptron Neural Network and Markov Chain analysis(case study: Arasbaran region, Iran)

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Journal of Forestry Research 2019年第3期30卷 943-957页

作者： Vahid Nasiri ali.A.Darvishsefat Reza rafiee Anoushirvan Shirvany Mohammad Avatefi Hemat Department of Forestry Faculty of Natural Resources University of TehranKarajIran Department of Environmental Science Faculty of Natural ResourcesUniversity of TehranKarajIran

Temporal land use/land cover (LULC) change information provides a variety of applications for informed management of land resources. The aim of this study was to detect and predict LULC changes in the Arasbaran region using an integrated Multi-Layer Perceptron Neural Network and Markov Chain analysis. At the first step, multi-temporal Landsat images (1990, 2002 and 2014) were processed using ancillary data and were classified into seven LULC categories of high density forest, low-density forest, agriculture, grassland, barren land, water and urban area. Next, LULC changes were detected for three time profiles, 1990–2002, 2002–2014 and 1990–2014. A 2014 LULC map of the study area was further simulated (for model performance evaluation) applying 1990 and 2002 map layers. In addition, a collection of spatial variables was also used for modeling LULC change processes as driving forces. The actual and simulated 2014 LULC change maps were cross-tabulated and compared to ensure model simulation success and the results indicated an overall accuracy and kappa coefficient of 97.79% and 0.992, respectively. Having the model properly validated, LULC change was predicted up to the year 2025. The results demonstrated that 992 and 1592 ha of high and lowdensity forests were degraded during 1990–2014,respectively, while 422 ha were added to the extent of residential areas with a growth rate of 17.58 ha per year. The developed model predicted a considerable degradation trend for the forest categories through 2025, accounting for 489 and 531 ha of loss for high and low-density forests, respectively. By way of contrast, residential area and farmland categories will increase up to 211 and 427 ha, respectively. The integrated prediction model and customary area data can be used for practical management efforts by simulating vegetation dynamics and future LULC change trajectories.

关键词： Satellite images Land use changes Land change modeler Artificial neural network Prediction

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Histological and biochemical alterations in early-stage lobar ischemia-reperfusion in rat liver

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World Journal of Gastroenterology 2009年第16期15卷 1951-1957页

作者： Hossein ali Arab Farhang Sasani Mohammad Hossein rafiee Ahmad Fatemi Abbas Javaheri Department of Pharmacology Faculty of Veterinary MedicineUniversity of Tehran Department of Pathology Faculty of Veterinary MedicineUniversity of Tehran Faculty of Veterinary Medicine University of Semnan

AIM： To investigate the structural and biochemical changes in the early stage of reperfusion in the rat livers exposed to lobar ischemia-reperfusion （IR）. METHODS： The median and left lobes of the liver were subjected to 60 min ischemia followed by 5, 10, 30, 45, 60 and 120 min reperfusion. Blood samples were taken at different time intervals to test enzyme activities and biochemical alterations induced by reperfusion. At the end of each reperfusion period, the animals were killed by euthanasia and tissue samples were taken for histological examination and immunohistochemistry. RESULTS： Cell vacuolation, bleb formation and focal hepatitis were the most important changes occur during ischemia. While some changes including bleb formation were removed during reperfusion, other alterations including portal hepatitis, inflammation and the induction of apoptosis were seen during this stage. The occurrence of apoptosis, as demonstrated by apoptotic cells and bodies, was the most important histological change during reperfusion. The severity of apoptosis was dependent on the time of reperfusion, and by increasing the time of reperfusion, the numbers of apoptotic bodies was significantly enhanced. The amounts of lactate dehydrogenase, alanine aminotransferase, aspartate aminotransfrase, creatinine and urea were significantly increased in serum obtained from animals exposed to hepatic IR. CONCLUSION： Inflammation and subsequent apoptotic cell death were the most important changes in early-stage hepatic reperfusion injury, and the number of apoptotic bodies increased with time of reperfusion.

关键词： Lobar ischemia Liver Reperfusion injury Apoptosis Immunohistochemistry

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Efficient pipelined flow classification for intelligent data processing in IoT

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Digital Communications and Networks 2022年第4期8卷 561-575页

作者： Seyed Navid Mousavi Fengping Chen Mahdi Abbasi Mohammad R.Khosravi Milad rafiee Department of Computer Engineering Engineering FacultyBu-Ali Sina UniversityHamedanIran Shandong Provincial University Laboratory for Protected Horticulture Weifang University of Science and TechnologyShouguang262700China Telecommunications Group Department of Electrical and Electronic EngineeringShiraz University of TechnologyShirazIran

The packet classification is a fundamental process in provisioning security and quality of service for many intelligent network-embedded systems running in the Internet of Things(IoT).In recent years,researchers have tried to develop hardware-based solutions for the classification of Internet *** to higher throughput and shorter delays,these solutions are considered as a major key to improving the quality of *** of these efforts have attempted to implement a software algorithm on the FPGA to reduce the processing time and enhance the *** proposed architectures,however,cannot reach a compromise among power consumption,memory usage,and throughput *** view of this,the architecture proposed in this paper contains a pipelinebased micro-core that is used in network processors to classify *** this end,three architectures have been implemented using the proposed *** first architecture performs parallel classification based on header *** second one classifies packets in a serial *** last architecture is the pipeline-based classifier,which can increase performance by nine *** proposed architectures have been implemented on an FPGA *** results are indicative of a reduction in memory usage as well as an increase in speedup and *** architecture has a power consumption of is 1.294w,and its throughput with a frequency of 233 MHz exceeds 147 Gbps.

关键词： Efficiency Intelligent flow processing IoT Packet classification Pipeline

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