Journal of Kufa for Mathematics and Computer

We shall introduce a new continuous distribution dependent on [0,1] truncated lomax
([0,1] TLD) distribution , we will call it [0,1] truncated lomax – lomax ([0,1]TLD) distribution.
The some properties of the ( [0,1]TLLD ) distribution will be derive , and also, the ([0,1]TLLD)
stress-strength model with different parameters will be obtain. The purpose of this work is to
develop a new composite distribution that is more flexible than other distributions..

E-learning technology has opened a new era, accompanied by significant benefits in education systems.
However, not all technology programs have the same turnout of human, and not all information technology
applications are succeeding; it is related to the extent of user acceptance and continuity of use. Therefore, identifying
the reasons why people accept or reject technology is a major concern. This research aims to find the factors
influencing Iraqi students' acceptance of the Sadeem application, (E-learning system). 200 questioners were
distributed over the students, but only 188 responses have used. TAM model and the SPSS statistical software, have
used in the analysis of the questionnaire. The finding represented in; the ease of use is not the impact issue of the
students' adoption while, the effect issue for the students is the belief that, the system is useful for enhancing their
grades and education level. Finally, the outcomes can be employed to boost guidance on future work.

The next generation of wireless communications networks needs higher data transfer rates; this requires
to provide wireless communication systems operating at higher spectral efficiencies. In this research, an overall study
on performing a Multi-Carrier Structure for Chaos Shift keying using the Orthogonal Frequency Division
Multiplexing (OFDM) technique because of the limited speed provided by Chaos Shift Keying due to the spreading
factor. OFDM has become an effective investment in the available bandwidth and the basis of 4G, 5G mobile
communication systems that enable high data rates in the wireless communication system. The chaotic sequence was
generated by the proposed tent map. The performance test using the Bit Error Rate (BER), Mean Squared Error
(MSE), correlative test, and the chaotic characteristics of the chaos generator sequence using are tested by the
Lyapunov Exponent. Results showed the proposed method for tent map when (a=0.5) provide ideal chaotic sequence
characteristic, in which difficulty expecting the chaotic type and initial condition. In addition, the proposed system to
multi-carrier structure for the CSK system with different Spreading Factors (SF) values outperforms on a CSK system
in height the data transmission rate.

Communications development is the fastest-growing Nowadays, so the need and the constant demand for
faster and more reliable communication methods have increased. Here, the compressive sensing appeared to meet
this need. Compressive sensing is a new method of sampling that is not rendered to the Shannon-Nyquist law. In this
thesis, we studied the effects of orthogonal (Fourier and wavelet) modulation with compressive sensing modeling on
the characteristics of the signal that are used for medical and security applications. The compressed image
performance has been tested in three ways and transmitted via the FFT-OFDM system and the DWT-OFDM system,
under various baseband modulation schemes with the effect of white Gaussian noise. Then we compared the
transmission performance via FFT-OFDM versus DWT-OFDM. From the simulation is observed that the wave-based
OFDM system is better than the Fourier-based OFDM system Furthermore, the wavelets better than Fourier in the
utilization of Bandwidth, Unlike FFT that allocates part of Bandwidth of the cyclic prefix (CP), and thus part of it is
wasted.

Control is important to improve hardware performance. Most electronic systems are designed according to
the device and then manufactured as an attached electronic device. However, if conditions change or the factory is
modernized then the control device must be replaced. This is due to the complexity of the control unit represented by
the program implementation algorithms, in addition to the time delay caused by digital and analog signal converters
(ADC - DAC), and in this research it is replaced by deep neural networks It is a thriving field with practical and
medical applications and is characterized by its ability to learn and train as it is a branch of machine learning and
artificial intelligence. The results proved that the functioning of the neural networks and their performance are better
than the control system where the value of the difference between the two is equal to zero.

In recent years, detection of things measured in the PASCAL VOC dataset has stabilized. Low-level image
features and high-level context. There are many ways to perform complex grouping systems that combine image
features in this work. An algorithm has been proposed to reveal the edge of the image in the proposed way Fully
Connected Network (FC) by Convolution Neural Network (CNN) in short time using CNN method to reduce the
space occupied by the original information of the image. To highlight the role of Artificial Neural Network (ANN) in
the field of images to detect the edges using modern techniques in many areas of science, engineering and medicine,
where the images of the cancerous cells algorithm that was created in this paper are revealed showing the importance of Artificial Neural Network (ANN) and Fully Connected Network (FC) by Convolution Neural Network (CNN) to detect cancer cells and tumors.