Department of Remote Sensing (GIS) (2011 - Present)
Surveying Engineering-Geospatial Information System
GIS Department, KNTU(Khajeh Nasirdin Toosi) university of Technology , Tehran, Iran
Remote Sensing and GIS
Remote Sensing& GIS, Tarbiat Modaers University, Tehran, Iran
Geography
Geography, Esfahan, Esfahan, Iran
Jalal Karami received the B.S. degree in geography from Esfahan University, Esfahan, Iran, in 1995, M.S. degree in remote sensing and GIS from the University of Tarbiat Modares, Tehran, Iran, 2002, and Ph.D. degree at the GIS Department, Faculty of Geodesy and Geometrics Engineering, K.N. Toosi University of Technology, Tehran, Iran. His research interests are Spatial Data Mining, Computational Intelligence, Multi-agent systems, and Health GIS. He is currently a full time Assistant Professor at the Department of Remote Sensing and GIS at Tarbiat Modarres University.
The aim of this study is to develop a model to predict temporal daily collision by integrating of Discrete Wavelet Transform (DWT) and Artificial Neural Network (ANN) algorithms. As a case study, the integrated model was tested on 1097 daily traffic collisions data of Karaj-Qazvin freeway from 2009 to 2013 and the results were compared with the conventional ANN prediction model. In this method, initially, the raw collision data were analyzed, normalized, and classified via Geographical Information System (GIS). Partial Autocorrelation Function (PACF) was also utilized to evaluate the temporal autocorrelation for consecutive existing daily data. The results of this study showed that the proposed integrated DWT-ANN method provide
Introduction More than half of the world’s human population has been living in urban areas. Irregular urban growth is considered a global issue; and it is predicted that more than 65% of the world population will live in cities by 2025. Rapid growth of urbanization not only has increased number of cities and population size, and accelerated their physical growth, but has also led to consequences for urban population health, environmental resources, climate and biodiversity. In some countries, rapid physical growth of cities has even surpassed their population growth rates, and this uncontrolled growth creates a phenomenon called the" urban sprawl" which is a complicated model of land use, transportation, and socio-economic development. Ur
The purpose of this paper is to develop a design procedure for Langevin ultrasonic transducers with lateral dimensions larger than a quarter of the longitudinal wave length. In this case, the assumption of the one-dimensional design is not valid, and this method cannot predict the experimental resonance frequency. Some researchers have considered radial and longitudinal normal stresses by means of the apparent elasticity method and reduced the error between the design and experimental resonance frequency. In this research, 3D normal stresses of a transducer’s components ie longitudinal, radial and circumferential were considered in the design procedure. The apparent elasticity method was used to modify the elastic modulus and the wave num
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In this paper, contributions of the mechanical and electric power losses have been studied in a typical piezoelectric ultrasonic transducer under free conditions. The losses in a Langevin ultrasonic transducer can be divided into three parts: dielectric loss of piezoelectric, structural damping loss of the transducer’s mechanical components, and losses due to the friction of contact surfaces. In order to estimate dielectric losses, loss factor or t a n δ of the piezoelectric ceramic have been measured. Dielectric power loss is obtained by calculating the electrical energy stored in a piezoelectric and using the loss factors. The structural damping of the mechanical components of the transducer is calculated using the mechanical quality f
In this paper, a vibrational drilling tool using a magnetostrictive torsional transducer is designed and fabricated. The torsional transducer is a hollow cylinder, which is made up of “2 V permendur.” Passing an alternating current through the material creates a variable circular magnetic field and exciting a coaxial coil with a direct current generates a constant axial field in the material. According to the Wiedemann effect, the magnetic domains of the material rotate helically in the direction of the external field and cause a shear strain in the material. To utilize the maximum torque and amplitude of the transducer as well as to maintain the transducer’s resonance conditions, a wave transmitter is designed to connect the transduc
The application of Auto-correlation Function (ACF) and Partial Auto-correlation Function (PACF) in recent years has been improved in analyzing big traffic data, modelling traffic collisions and decreasing processing time in finding collision patterns. Accident prediction models for short and long time can help in designing and programming traffic plans and decreasing road accidents. Based on the above details, in this paper, the Karaj-Qazvin highway accident data (1097 samples) and its patterns from 2009 to 2013 have been analyzed using time series methods.
PurposeThe aim of this study was to determine the number of shelters, specify some optimal paths among building blocks towards shelters, and assign population to shelters.Design/methodology/approachImperialist competition algorithm (ICA) and particle swarm optimization (PSO) were used to optimize the objectives of this study.FindingsThe optimal value for PSO objective function was with the number of function evaluations (NFE) of 5300 and the optimal value of ICA objective function was with NFE of 1062. Repetition test for both algorithms showed that imperialist competition algorithm enjoys better stability and constancy and higher speed of convergence compared to particle swarm algorithm. This has been also shown in larger environments. 92%
Today, a wide range of spatial analysis models are used in environmental risk zoning. Some models, such as hierarchical and fuzzy analyzes, despite the inclusion of uncertainty in the input variables, are unable to explain quantitatively the output uncertainty. In this study, the aim of evaluating the capabilities of the Dempster-Schaeffer algorithm is to explain the uncertainty in the outcomes for landslide hazard zonation in the south of Chalus. Therefore, after field studies and review of similar studies, a map of 10 factors was provided in the GIS environment and was introduced as input data along with a map of the distribution of landslides to the model. Landslide hazard zonation was performed by integrating different weights in the De
Extended Abstract Introduction Nowadays, investigations and analysis of changes in land use through local and national scales have been taken into consideration more than ever, the major purpose of which is to optimize land use as well as its limited finite resources. During the past few years, the rapid growth in population along with urbanization have intensified the significance of land use, resulting in extensive changes regarding the usage of lands in the cities. In general, it has been indicated that natural forces as well as human activities are the two major factors in changing land use and ground cover through scales ranging from local to national. Although the development of cities in western countries have taken a rather slow p
The present study attempts to optimally model the daily temporal traffic accidents on Karaj-Qazvin freeway, as one of Iran's accident-prone roads between 2009-2013, using two methods of time series and artificial neural network, based on spatial information system. Temporal patterns of road hazards are obtained from temporal traffic accident data (sample size equals to 1097) by taking into account trend and periodic components, model type and order, autocorrelation and partial autocorrelation functions. In the former method, the dependence of time domain and the order of temporal model were calculated and in the latter method, different architectures of Multilayer perceptron (MLP) (a feedforward artificial neural network) were implemented t
Data collection and recording of Archaeological sites in Archaeological research is costly and requires a lot of manpower and time. Accordingly, the use of methods that can predict the presence of ancient monuments without direct observation will play a significant role in saving time and cost of Archaeological surveys. The main issue of this research is to assess the ability of the logistic regression model to predict the dispersal of ancient sites in the Harsin-Bisotun plain. Predictor variables for this study include the environmental variables of slope, height, distance to river, vegetation, distance to modern cities, density of modern villages and distance to main roads, and dependent variable ?is the most turbulent? of area in terms o
Mangrove forest stores large organic carbon stocks in a setting that is highly vulnerable to climate change and direct anthropogenic influences. As such there is a need to elucidate the causes and consequences of land use change on these ecosystems that have high value in terms of ecosystem services. We examine the areal pattern of land types in a coastal region located in southern Iran over a period of 14 years to predict future loss and gain in land types to the year 2025. We applied a CA–Markov model to simulate and predict mangrove forest change. Landsat satellite images from 2000 to 2014 were used to analyze the land cover changes between soil, open water and mangroves. Major changes during this period were observed in soil and water
In order to reduce operational and field costs, remote sensing studies are used at the initial and general exploration stage. Hence, according to the identification of the Mesgaran copper ore deposit which is the copper potential in the Sarbisheh geological map (on scale 1: 100,000), remote sensing methods were used to identify similar regions and to show more areas with this type of potential. In this study, due to the suitability of Aster Images to identify copper alterations various methods of remote sensing such as Band Ratios (BR), False Color Combinations (FCC), Least Square Fitting (LS-Fit), Principal Components Analysis (PCA) and finally Spectral Angle Mapper (SAM) for mapping altrations and promising regions were used. Finally, are
For detecting cells by Surface Acoustic Wave sensors, a sacrificial layer with antigens is usually used to trap cells. This paper introduces a new idea where Dielectrophoresis force traps target cells instead of a sacrificial layer that reacts with target cells and sensed by the surface acoustic wave. Therefore, one can use the sensors more than once, and it is possible to trap different types of cells with different dielectric properties. The device is simulated, and the main parameters of a Dielectrophoresis trapping system and Surface Acoustic Wave sensor, have been introduced and optimized. The effects of focused and unfocused electrode are studied numerically on the displacement of the sensor. Eventually, the feasibility of using the h
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