Isam S Hameed | University of Diyala (original) (raw)

Papers by Isam S Hameed

Signal, Image and Video Processing

Indonesian Journal of Electrical Engineering and Computer Science, 2022

A new design of binary parallel adder circuit is presented in this paper. The pipeline technique ... more A new design of binary parallel adder circuit is presented in this paper. The pipeline technique is applied to implement a group of a half adder (HA) blocks to architect the proposed adder. The pipelined carry adder (PCA) method is suitable for carrying out the desired adder by using the HA circuits of XOR and AND gates. The applied technique reduces the critical path delay by 27% compared with the ripple carry adder (RCA) and relatively lowers logic gates by 55% compared with the carry look-ahead adder (CLA). The coded design of the proposed circuit is implemented and simulated on the Cyclone IV FPGA kit platform. Results show that the circuit needs a 7.69 ƞ Sec delay time to provide the output values. The suggested PCA circuit is more attractive than the conventional ripple carry adder for future electronic applications.

International Journal of Intelligent Engineering and Systems, 2021

In this paper, a system for the purpose of signals encryption using the technique of independent ... more In this paper, a system for the purpose of signals encryption using the technique of independent component analysis has been proposed. The proposed system mixes the original signal with arbitrary number of random signals in order to obtain a highly encrypted signal like noise. The number of random signals is indicated by an attached key signal preceding the encrypted signal. In order to increase the encryption strength, the number of random signals is changed at each signal transmission. An independent component analysis technique is utilized to separate signals and select the original signal by a designed selector. A set of parameters has been adopted to measure the encryption quality and decryption capability. Promising encryption results represented by up to-48.35 dB for segmental spectral signal to noise ratio and 0.00037 correlation coefficient between the original and the encrypted signals are obtained. As well, an efficient signal decryption is achieved with 45.85 dB signal to noise ratio and nearly 1 correlation coefficient value between the original and reconstructed signals. In conclusion, the proposed system is a good candidate to be adopted in developing highly reliable security transceiver systems.

Procedia Computer Science, 2020

In the applications of Internet and wireless communication network, information security is one o... more In the applications of Internet and wireless communication network, information security is one of the most challenging aspects. Cryptography is the best solution that offers the requisite protection from unintended persons. By using encryption and decryption mechanisms, cryptography can convert the data form its readable form to unreadable one so that only the intended receiver can read the message and alter it. By this way, one can ensure that message can be sent or stored without any modification. The presented work is concerned with a particular type of asymmetric key cryptography called El-Gamal algorithm to be used for speech signals encryption and decryption. First, the speech signal is encrypted by employing El-Gamal algorithm throughout encryption process at the sender and then transmitted to the particular recipient. Second, the recipient will recover the original signal throughout the decryption process. The cryptosystem performance is evaluated via different quality measures for audio signals encryption/decryption including Signal to Noise Ratio, Segmental Signal to Noise-Ratio and Log-Likelihood Ratio that are reach to-35.0224 dB,-38.0201 dB and 2.1145 respectively for the encrypted signal. The given results confirm the effectiveness of the presented scheme and robustness against noise effect.

Periodica Polytechnica Electrical Engineering and Computer Science, 2019

The objective of this research is to analyze the microwave power absorption properties of Unsatur... more The objective of this research is to analyze the microwave power absorption properties of Unsaturated Polyester Resin (UPR) composite reinforced with micro size river-shell with an aim to figure out the new formed composites with the best microwave power absorption scenario. The composites were prepared by using river shell powder in micro-particle size as a filler material with unsaturated polyester composites. Using free-space transmission technique and within the x-band frequency range, the microwave power absorption properties were studied with varied percentages of river shell powder being loaded into the unsaturated polyester composites. River shells were introduced in an 50 microns particle size powder which was mixed in different weight percentages of 5, 10, and 15 % of a 12 cm square shape side length composite sample along with a thickness of 4 mm for each sample. The test specimens were prepared using the pre-mentioned weight amounts after mixing them with the Unsaturated...

Diabetic retinopathy is a serious disease that affects the retina in people who have diabetes. Th... more Diabetic retinopathy is a serious disease that affects the retina in people who have diabetes. The most dangerous results of that disease is that it might lead to blindness in both middle and advanced age groups. Statistics show that the estimated rate of this disease in the United States are to be 40.3% for diabetic adults 40 years or older. Although, at least 90% of the new cases have been shown by researches to be under control with early treatment and check-ups of the eyes. Therefore, examining the eyes regularly is important and essential for diabetic patients. Diabetic retinopathy occurs in patients who have had diabetes for at least five years. Small blood vessels in the back of the eye that can be corrupted by this disease might cause leakage of protein and blood in the retina and lead to blindness as a result. Diagnosis of diabetic retinopathy at early stage can be done through detection of blood vessels of retina. Many methods have been proposed for this purpose in order to get an accurate blood vessel detection and segmentation in retinal over images last decade. A. Pre-processing : The green channel of the original image has more details than the red and blue channels. Thus, it is better to use it as a reference image for the segmentation process. (a) Green channel extraction: (b) Green channel complement and adaptive histogram equalization: (c) Designing a background image to generate a normalized retinal image: B. Vessel Enhancement : In order to increase the vessels’ intensity levels of the normalized retinal image, different mathematical and morphological operations are applied. Blood Vessel Segmentation in Retinal Images with a Novel Network Tracking Algorithm C. Network Pixel Tracking Algorithm : In order to eliminate the noise artifacts that look like small vessels, a novel eight-direction network pixel tracking algorithm is developed. This algorithm gives a unique identity to a processed pixel. Brilliantly, the tracking algorithm scans the entire image data comparing each pixel with its four neighboring pixels aligned in 45° to each other. Four pixels in eight directions are checked separately weather they are connected (non zero pixels) or not (zero pixels). In case of finding any direction to be connected, the checking process will take the last pixel in that direction as a new processed pixel and applies the same procedure. The performance of the proposed algorithm is compared to previous studies’ performances. Our algorithm achieved a segmentation accuracy of 94.39% which is one of the highest accuracies ever reported for the database. By using a morphological operation, ‘opening’ with a structuring element ball, the background is created. This background is then subtracted from the result of the adaptive histogram equalizer to obtain a normalized retinal image. Possible salt and pepper noise is de-noised by applying median filter to the result of the subtraction. Adaptive histogram equalization (ADE) is applied to the complement of the green channel. It equalizes the intensity levels by making vessels clearer and brighter. In our poster , we introduce a novel tracking algorithm to decide whether the processed pixel is a vessel or non vessel. The outline of our paper is as follows:

International Journal of Intelligent Engineering and Systems

Indonesian Journal of Electrical Engineering and Computer Science

In this paper, the behavior of different tissues to microwave signal is presented. Beef, lamp, an... more In this paper, the behavior of different tissues to microwave signal is presented. Beef, lamp, and fat were taken as tissue samples. The three types of tissues were taken in three different cases as soaked, normal, and dried. Moreover, each individual sample was prepared in five thickness as 1mm, 2mm, 3mm, 4mm and 5mm in the x-band frequency. The objectives of this paper were discussed to determine the power absorption when each sample is tested. The experimental results showed the soaked meat as the most power absorbing state when compared to the other cases of the normal and dried samples for the same thickness value. It has been found that the microwave power absorption is directly proportional to the thickness. Besides, the relationship between the microwave power absorption and the distance between transmitting and receiving antenna was also taken in consideration. It was found that as long as the tested sample is far away from the transmitter, the attenuation of the transmitt...

International Journal of Innovative Computing Information Control Ijicic, Feb 1, 2015

2013 IEEE Long Island Systems, Applications and Technology Conference (LISAT), 2013

ABSTRACT Diabetic retinopathy (DR) occurs in patients who have had diabetes for at least five yea... more ABSTRACT Diabetic retinopathy (DR) occurs in patients who have had diabetes for at least five years. Diseased small blood vessels in the back of the eye cause a leakage of protein and blood in the retina. Diagnosis of diabetic retinopathy at early stage can be done through detection of blood vessels of retina. Blood vessel segmentation is a helpful tool in the treatment of diabetic retinopathy. Many studies have been carried out in the last decade in order to get an accurate blood vessel detection and segmentation in retinal images since vascular anomalies are one of the strongest manifestations of DR. Here, we propose a ruled-based algorithm called Star Networked Pixel Tracking to decide whether a processed pixel is a part of a vessel or not. The complement of the gray scale of the green channel from the original image is used. The blood vessels are enhanced by applying a strong adaptive histogram equalization algorithm locally and globally. Morphological operations are implemented in designing a background image to generate a normalized retinal image. In order to enhance the vessels' contrast, mathematical and morphological operations are applied. Noise artifacts that look like small vessels is filtered by the proposed eight-direction network pixel tracking algorithm. The proposed method is evaluated on 20 images of well known public domain DRIVE database. We achieved an accuracy of 95.83%. This is the highest accuracy among the ruled-based methods reported for the DRIVE database.