Laith Al-Ani

Nahrain University · Department of Physics

The potential of hyperspectral imaging in the field of remote sensing is widely recognized. This advanced technology utilizes narrow bands of the electromagnetic spectrum to effectively discriminate between various types of land cover. However, it is important to acknowledge that the spatial resolution of hyperspectral images may not be as high as...

The present work aims to estimate the yield of wheat crop for a particular wheat farm in Najaf Governorate, southwestern Iraq. To achieve this objective, seven multispectral bands of the Landsat satellite with a spatial resolution of 30×30 square meters were used for two different time periods. The satellite image for the first time represents the...

The present work aims to estimate the yield of wheat crop for a particular wheat farm in Najaf Governorate, southwestern Iraq. Seven multispectral bands of the Landsat satellite (8 and 9) were used for two different time periods. The satellite image for the 1 st time (Landsat 8) represents the high vegetative growth of the wheat crop, and the satel...

Principal Component Analysis technique was applied to correlated multispectral data to convert it into uncorrelated data for the purpose of benefiting from its use in the automatic classification process.This project aims to classify multispectral satellite images using selective thematic Mapper (TM) spectral bands, and principal component (PC) ima...

Determination of lead, cadmium and nickel concentrations in serum samples (n=50), collected from policemen at difference checkpoint in Karbala governorate, was carried out by flam atomic absorption spectrometer. The results show, that the Pb, Cd and Ni mean value were (1.016±0.052)ppb, (0.043±0.007)ppb and (0.212±0.015)ppb respectively. The result...

In the present work, the remotely sensed images had gone through different stages before it become ready to be classified, firstly by transforming the raw images by using principle component analysis method (PCA). Applying PCA has shown that the first three bands gives 97.86% of the overall information that has been provided from the scene. RGB col...

The quantum Finite Square Well (FSW) model is a well-known topic in most quantum mechanics (QM) books. A couple of equations can be derived from one dimensional Schrodinger equation for a finite potential well for describing the bound Eigen states within the well. Some timesthe FSW problem does not have an exact solution, yet, there are in fact exa...

The quantum Finite Square Well (FSW) model is a well-known topic in most quantum mechanics (QM) books. A couple of equations can be derived from one dimensional Schrodinger equation for a finite potential well for describing the bound Eigen states within the well. Sometimes the FSW problem does not have an exact solution, yet, there are in fact exa...

Iris is taken in consideration as very appropriate for the identification and the verification of humans because the error average is the lowest in ultimate biometric identity technique and provides an excellent recognition execution. In this research Canny Edge technique has been adopted and processed to extract the edges of pupil / iris. Circular...

This research is concerned with designing and simulating an auto control system for a car provided with obstacle avoidance sensors. This car is able to pass through predefined path an around the detected obstacles, and then come back to the intended path. The IR sensor detects the existence of the obstacle through an assumed range of detection, whi...

This paper concerned with simulating the behavior of designed control system that tries to govern robot to safely passing a path containing moving obstacle ahead. The used robot carried some specific sensors are used to sense the existence of obstacles along the moving path, these sensors are IR sensor that used to detect the obstacle and visual se...

Gamma ray buildup factor for two shielding materials, water (Zeff = 7.42) and graphite (Z = 6) for isotropic plane source normally incident within the energy range 4–10 MeV and up to 5 thickness mean free path has been studied. This research has been achieved by writing a simulation computer program in (Visual Basic language version G) and applied...

The natural and artificial radioactivity in soil samples from some oil sites of Kirkuk-Iraq have been estimated using a gamma spectrometry based on a high purity germanium (HPGe) detector. For this reason, soil samples have been collected from four sites; Henjera, Jabel Boor, Jambor and Qutan. It was found that the specific activity ranged from 7.3...

The natural radioactivity levels of Kirkuk oil field are studied using high resolution gamma rays spectrometry. For this reason, soil samples were collected from three sites in the Iraq North Oil Company: Baba Gurgur, Shurau and old process plant (Terkiz). The activity concentrations obtained for 238U-series (234Th, 214Pb, and 214Bi), 232Th-series...

In this work, the energy levels and transition probabilities B(E2) and B(M1) of some even-even Hf have been investigated by using the interacting boson model-1 (IBM-1). The results were compared with experimental values. It was seen that an acceptable degree of agreement between the predictions of the model (IBM-1) and the experiment is achieved.

A computer program based on Monte Carlo method had been designed and written in visual basic computer language and utilized for simulating the classic problem of gamma ray beam incident on finite plane slabs of absorbing materials. The source geometry adopted in this program is plane normal source. Dose buildup factor of gamma photons in the absenc...

A computer program based on Monte Carlo method had been designed and written in visual basic computer language and utilized for simulating the classic problem of gamma ray beam incident on finite plane slabs of absorbing materials. The source geometry adopted in this program is plane normal source. Dose buildup factor of gamma photons including ann...

In the present work, pattern recognition is carried out by the contrast and relative variance of clouds. The K-mean clustering process is then applied to classify the cloud type; also, texture analysis being adopted to extract the textural features and using them in cloud classification process. The test image used in the classification process is...

In the present work, pattern recognition is carried out by the contrast and relative variance of clouds. The K-mean clustering process is then applied to classify the cloud type; also, texture analysis being adopted to extract the textural features and using them in cloud classification process. The test image used in the classification process is...

The iris of human eye is one of the most useful traits for biometric recognition. This paper presents an iris recognition system based on semantic indexing. The proposed system uses the concepts of latent semantic indexing (LSI) for iris recognition. One technique of LSI is the singular value decomposition (SVD). The SVD is an information retrieval...

In this paper, a multi-spectral satellite image of known training areas taken in six bands is used. The adopted classification method suggests transforming the six bands into new six other bands using KL transform. The information of the image is redistributed to be concentrated in the first transformed band, the information is decreases gradually...

Keywords This paper presents the first data for bremsstrahlung buildup factor (BBUF) produced by the complete absorption of Y-91 beta particles in different materials via the Monte Carlo simulation method. The bremsstrahlung buildup factors were computed for different thicknesses of water, concrete, aluminum, tin and lead. A single relation between...

Keywords In this research velocity of moving airplane from its recorded digital sound is introduced. The data of sound file is sliced into several frames using overlapping partitions. Then the array of each frame is transformed from time domain to frequency domain using Fourier Transform (FT). To determine the characteristic frequency of the sound,...

Keywords In this research velocity of moving airplane from its recorded digital sound is introduced. The data of sound file is sliced into several frames using overlapping partitions. Then the array of each frame is transformed from time domain to frequency domain using Fourier Transform (FT). To determine the characteristic frequency of the sound,...

In this paper, a TM-multi-spectral satellite images is adopted in a purpose of supervised classification. The traditional method of the segmentation namely Quad tree is applied as pre processing step. For each segmented block, the fractal features (fractal dimension and lacunarity)s are determined to be used as a maximum likelihood classifier. The...

In this paper, a TM-multi-spectral satellite images is adopted in a purpose of supervised classification. The traditional method of the segmentation namely Quad tree is applied as pre processing step. For each segmented block, the fractal features (fractal dimension and lacunarity)s are determined to be used as a maximum likelihood classifier. The...

A computer aided system is presented for the diagnosis of arrhythmia heart diseases. An analog-to-digital converter (ADC) method is applied with the aid of a digital image scanner. The following stepes were suggested to process the input (scanned) signals: (I) Grid line filter was implemented to cancel the grid lines. (II) Scaling method by using c...

The PCA is statistical technique that transforms a multivariate data set consisting of inter-correlated variables into a data set consisting of variables that are uncorrelated linear combination. In our project principal component analysis “PCA” was applied for two set of original bands in two dates (bands 1, 5, and 7 in 1988 and bands 1, 5, and 7...

The research shows that the fractal structure of the speech signal exhibits fractal characteristics. The encouraging analysis results indicated that the fractal dimension have good discrimination capabilities for speech signal, where it gave a speaker recognition percentage about 70% (In the field of research for a single parameter this percentage...

The research shows that the fractal structure of the speech signal exhibits fractal characteristics. The encouraging analysis results indicated that the fractal dimension have good discrimination capabilities for speech signal, where it gave a speaker recognition percentage about 70% (In the field of research for a single parameter this percentage...

In this research a study process to calculate the factor accumulation of gamma rays for aluminum and exporters cobalt 60 Mika Atktron volts and actively radiation Vdrh 1.406 Mika Bq been studying the effect of the angle of reimbursement and the distance between the shield and detector In measurements factor accumulation Adhrt results in line with t...

In this paper, a study of the role of color information in detecting the edges of an image was conducted Therefore, different color spaces with components corresponding to the attribute luminance, hue, and saturation le., VHS, and LUVI were implemented. Two edge detection techniques were applied to each of above color spaces. These techniques are S...

Electron Excitation of the dominantly T≡1 particle-hole states of 12 C are studied in the framework of the harmonic oscillator shell model. Configurations mixing is allowed and the Hamiltonian is diagonalized in the presence of the modified surface-delta interaction (MSDI). All possible T≡1 single-particle-hole states of all allowed angular momenta...

The research program has, its primary purpose, the development of techniques for classification and better understanding of satellite multiband images. Methodologies, range from image KL-transformation, color image enhancement, up to edge detection, region segmentation, and image region classification have been developed and introduced in our prese...