Reduced hardware requirements of deep neural network for breast cancer diagnosis Yasmine M. Tabra and Furat N. Tawfeeq Institute of Advanced Engineering and Science Identifying breast cancer utilizing artificial intelligence technologies is valuable and has a great influence on the early detection of diseases. It also can save humanity by giving them a better chance to be treated in the earlier stages of cancer. During the last decade, deep neural networks (DNN) and machine learning (ML) systems have been widely used by almost every segment in medical centers due to their accurate identification and recognition of diseases, especially when trained using many datasets/samples. in this paper, a proposed two hidden layers DNN with a reduction in the number of additions and multiplications in each neuron. The number of bits and binary points of inputs and weights can be changed using the mask configuration on each subsystem to futher reduce the hardware requirements. The DNN was designed using a system generator and implemented using very hardware description language (VHDL). The system achievments outcomes the superior’s accuracy rate of approximately 99.6 percent in distinguishing bengin from malignant tissue. Also, the hardware resources were reduced by 30 percent from works of literature with an error rate of 7e-4 when using the Kintex-7 xc7k325t-3fbg676 board.
FPGA implementation of newLM-SPIHT colored image compression with reduced complexity and low memory requirement compatible for 5G Yasmine M. Tabra and Bayan Mahdi Sabbar Institute of Advanced Engineering and Science <span lang="EN-US">The revolution in 5G mobile systems require changes to how image is handled. These changes are represented by the required processing time, the amount of space for uploading and downloading. In this paper, a development on WT (Wavelet Transform) along with LM-SPIHT (Listless-Modified Set Partitioning in Hierarchical tree) coding and with additional level of Runlength encoding for image compression has been proposed. The new implementation reduces the amount of data needed to be stored in several stages, also the amount of time required for processing. The compression has been implemented using VHDL (Very High Descriptive Language) on netFPGA-1G-CLM Kintex-7 board. The new implementation results show a reduction in the complexity as processing time.</span>
Hybrid MVDR-LMS beamforming for massive MIMO Yasmine M. Tabra and Bayan Sabbar Institute of Advanced Engineering and Science <p>With the high speed of communication in LTE-5G, fast beamforming techniques need to be adopted. The training time required to form and steer the main lobes toward 5G multiple users must be short. Least-Mean-Square (LMS) training time is not suitable to work with in LTE-5G, but it has a good performance in forming multiple beams to large number of users and producing nulls in the interference direction. In this paper, an optimized hybrid MVDR-LMS beamforming algorithm is proposed to reduce the time required to estimate the antenna’s weights. This optimization is made by the benefit of previously set weights calculated using MVDR algorithms. The performance of the proposed hybrid MVDR-LMS algorithm tested using MATLAB 2016a.</p>
Initial phase effect on DOA estimation in MMIMO using Separated Steering Matrix Bayan Mahdi Sabar and Yasmine M. Tabra Universitas Ahmad Dahlan Providing simple and low complexity algorithms for estimating the direction of arrival in large systems using Massive MIMO is considered an important issue. In this paper a method with reduced complexity was proposed to estimate the direction of arrival in FD- MMIMO. The Separated Steering Matrix (SSM) algorithm uses two separated equations for estimating elevation and azimuth angles of Multi-users. This method reduces the complexity of calculating the covariance matrix by decreasing the size of this matrix. This technique is tested using 2D-MUSIC algorithm. Since the mobility of devices affects the accuracy of direction estimation, thus the effect of the initial phase of transmitted signal from mobile device is tested.
An effective spam filter based on a combined support vector machine approach Mumtaz M. Al Mukhtar and Yasmine M. Tabra Inderscience Publishers The volume of mass unsolicited e-mail, often known as spam, has recently increased enormously and has become a serious threat to not only internet but also to society. It is challenging to develop spam filters that can effectively eliminate the increasing volume of unwanted e-mails automatically. The present work presents a combination of support vector machine classifier for non-linear data (using an eligible kernel function) with appropriate data pre-processing as a spam filter. Data pre-processing is a vital part of text classification where the objective is to generate feature vectors usable by SVM kernels. The pre-processing steps include HTML removal, HTML replacement, de-obfuscation and stop-word-remover. The results obtained using the pre-processing level showed an improvement in the classification level. The estimated training and classification time for different document sizes indicate that the adopted method is practical and computationally efficient. Experimental results show that the approach can enhance the filtering performance effectively.
RECENT SCHOLAR PUBLICATIONS
Determination of FPGA Implementation of New LM-SPIHT Colored Image Compression with Reduced Complexity and Low Memory Requirement Compatible for 5G YM Tabra, BM Sabbar BP International 2021
Reduced hardware requirements of deep neural network for breast cancer diagnosis YM Tabra, FN Tawfeeq Int J Artif Intell ISSN 2252 (8938), 1363 2021
New computer generated-SCMA codebook with maximized Euclidian distance for 5G YM Tabra, BM Sabbar Iraqi Journal of Information and Communication Technology 2 (2), 9-24 2019
Hybrid MVDR-LMS beamforming for massive MIMO BMS Yasmine M. Tabra Indonesian Journal of Electrical Engineering and Computer Science 16 (2 2019
FPGA implementation of new LM-SPIHT colored image compression with reduced complexity and low memory requirement compatible for 5G YM Tabra, BM Sabbar International Journal of Reconfigurable and Embedded Systems 8 (1), 1 2019
Beamforming with multiple access for 5G multimedia application YM Tabra Ph. D. thesis, Al-Nahrain University, 2019 (https://doi. org/10.13140/RG. 2 2019
Initial Phase Effect on DOA Estimation in MMIMO Using Separated Steering Matrix YM Tabra, BM Sabbar TELKOMNIKA (Telecommunication Computing Electronics and Control) 16 (3) 2018
Optimal Algorithm for Estimation of Mobile Users Direction in 5G LTE YM Tabra, BM Sabbar I-manager’s Journal on Mobile Applications & Technologies 3 (2) 2016
Gate control system for new Iraqi license plate F Tawfeeq, Y Tabra Iraqi Journal for Computers and Informatics 41 (1), 1-3 2014
An Enhanced Method for Sprite Extracting F Nidhal, MT Yasamine i-Manager's Journal on Information Technology 3 (4), 9 2014
A Proposal for Internet Voting System in Iraq YM Tabra International Journal of Advanced Research in Computer Science and Software 2013
A Module for Enhancing Recognition System for QR Code Scanned Image F Nidhal, MT Yasamine i-Manager's Journal on Information Technology 1 (3), 1 2012
An effective spam filter based on a combined support vector machine approach MM Al-Mukhtar, YM Tabra International Journal of Internet Technology and Secured Transactions 4 (1 2012
A Suggested GUI Spam Filter Based on SVM Algorithm YM Tabra 2009
MOST CITED SCHOLAR PUBLICATIONS
Hybrid MVDR-LMS beamforming for massive MIMO BMS Yasmine M. Tabra Indonesian Journal of Electrical Engineering and Computer Science 16 (2 2019 Citations: 14
Gate control system for new Iraqi license plate F Tawfeeq, Y Tabra Iraqi Journal for Computers and Informatics 41 (1), 1-3 2014 Citations: 10
New computer generated-SCMA codebook with maximized Euclidian distance for 5G YM Tabra, BM Sabbar Iraqi Journal of Information and Communication Technology 2 (2), 9-24 2019 Citations: 8
Reduced hardware requirements of deep neural network for breast cancer diagnosis YM Tabra, FN Tawfeeq Int J Artif Intell ISSN 2252 (8938), 1363 2021 Citations: 3
Initial Phase Effect on DOA Estimation in MMIMO Using Separated Steering Matrix YM Tabra, BM Sabbar TELKOMNIKA (Telecommunication Computing Electronics and Control) 16 (3) 2018 Citations: 3
A Proposal for Internet Voting System in Iraq YM Tabra International Journal of Advanced Research in Computer Science and Software 2013 Citations: 3
An effective spam filter based on a combined support vector machine approach MM Al-Mukhtar, YM Tabra International Journal of Internet Technology and Secured Transactions 4 (1 2012 Citations: 3
FPGA implementation of new LM-SPIHT colored image compression with reduced complexity and low memory requirement compatible for 5G YM Tabra, BM Sabbar International Journal of Reconfigurable and Embedded Systems 8 (1), 1 2019 Citations: 2
Optimal Algorithm for Estimation of Mobile Users Direction in 5G LTE YM Tabra, BM Sabbar I-manager’s Journal on Mobile Applications & Technologies 3 (2) 2016 Citations: 2
Beamforming with multiple access for 5G multimedia application YM Tabra Ph. D. thesis, Al-Nahrain University, 2019 (https://doi. org/10.13140/RG. 2 2019 Citations: 1