IRAQI JOURNAL OF COMPUTERS, COMMUNICATIONS, CONTROL AND SYSTEMS ENGINEERING

There are many critical cases in which the patients need continuous monitoring
by the medical staff. Implementing wireless sensor network in medical field helps the
medical staff to monitor the patients remotely. This system is designed to collect the
patient’s physiological parameters, and store them in the database. The doctor monitors
the patient continuously in real time. In this project the biomedical sensor nodes used are
temperature and heart rate sensors; Arduino UNO is used as a microcontroller for data
processing, and then the messages are transmitted to the base station via Bluetooth wireless
technology. The Raspberry Pi is used as a system personal server. The results, reports and
other information related to the patients are displayed in website pages which are suitable
for the desktop, Personal Digital Assistance (PDA) and mobile devices.

The agriculture is vulnerable and sensitive to climate changes. These changes
reduce the production while encouraging the growth of bush, which lead to water
consumption extravagantly. In this paper, we proposed an automatic drip irrigation system
based on calculating the required crop water and irrigation depth. The aim of the proposed
system is to automatically compute irrigation scheduling of certain crop according to a
crop type and climatological conditions. This system includes two parts: hardware and
control center. The sensors send their real-time readings of the soil moisture and climatic
information to the monitoring part of the system wirelessly and then save them in database
server. The hardware part consists of a main unit represented by ARDUINO Uno and
sensors of soil moisture and DHT11. The wireless communication link between the
hardware and control center parts are covered using Bluetooth HC-06. In the control
center, the database is built using SQL server 2015 and the related Graphical User
Interface (GUI) frames is designed using Visual Studio C#. The proposed system has been
presented in a prototype to represent the case study and the obtained results show a clear
reduction of power and water consumption.

Inferring 3D image from 2D image is an advance topic in computer vision. This
article considers a 2D image depth estimation of an object and reconstructs it into a 3D
object image. The 2D image is defined by slices, where each slice contains a set of points
that are located along the object contour and within the object body. The depths of these
slices are estimated using the neural network technique (N.N.), where five factors (slice
length, angle of the incident light and illumination of some of points that located along the
2D object, namely control points) are used as inputs to the network. The estimated depths
of the slices are mapped into a 3D surface using the interpolation technique of the Bezier
Spline surface. Our model was tested and evaluated using different objects with different
and complex shapes. The results showed an effective performance of the proposed
approach.

Digital cryptography relies greatly on randomness in providing the security
requirements imposed by various information systems. Just as different requirements call
for specific cryptographic techniques, randomness takes upon a variety of roles in order to
ensure the proper strength of these cryptographic primitives. This paper presents a 64-bit
random number generator with a high generation speed and a good random sequences by
employing the RC5 encryption algorithm round functions with some changes in the usage
of the key, where two keys have been used with an initial vector to start the sequence
generator. This generator can be used as a keys generator for any security system or to
generate an intermediate password for signing process, and it can be adapted in many
other applications, such as random pattern generation, games, etc. Examining the
sequences shows great results in terms of randomness and security by achieving a
difference near 0.5, this value is the best result, and a high undependability on the previous
generated sequences by also achieving a difference more than 0.5, frequency, serial and
run test came out with a near optimality results.

In this paper, the performance of convolutional code constraint
length for bandwidth efficient transmission over AWGN and Rayleigh fading
channels is presented. Using intensive simulation and in terms of BER error
floor, we evaluate the performance of binary phase shift keying (BPSK)
mapping scheme. In addition, the hardware implementation considerations
based on the Digital Signal Processor (DSP) platform of convolutional
decoding are discussed. To be more specific, the code constraint length effect
on both memory management and clock cycles are considered.

This paper focuses on how to improve the performance of Acoustic Echo
Cancellation AEC in voice communication systems. A variable step-size, dynamic affine
projection algorithm named as DSVSSAPA is devised for this purpose. The proposed
version combines the merits of the variable step size APA as well as uses dynamic selection
of the input vectors to reduce its computational power, which has not been found in
literature elsewhere. The version proposed in this paper overcomes drawbacks
incorporated with the standard AP algorithm. These drawbacks are convergence speed-
misalignment trade off problem and the high computational complexity of the algorithm.
The proposed algorithm reduces the computational complexity by carrying the update after
satisfying a specific criterion. Performance of the proposed echo canceller is evaluated
and compared with those obtained from the same echo canceller but based on conventional
algorithms such as the normalized least mean square algorithm NLMS and the original
affine projection algorithm APA. The performance is measured in terms of misalignment
and echo return loss enhancement ERLE. Simulation results showed superior ERL
performance of the DSVSSAPA compared to other algorithms. It also achieves 17.73%
reduction in computational complexity compared with conventional APA which is useful in
portable communication applications.

With the growth rate of wireless communication with internet and
multimedia. The wireless network has expanded their applications in our life.
Cryptography and steganography play important role within data security. This
paper chiefly produces a novel hybrid cryptography and steganography for
digital audio base chaos system and secret sharing scheme algorithm. These
algorithms have multilevel of processing with the digital audio to increase the
level of security. In this algorithm, digital audio was encrypted with a novel
encryption method based Lorenz chaos map. Then, divide the encrypted audio
to N encrypted audio based on secret sharing scheme. Finally, hiding N
encrypted audio in N cover images with chaos system process. The result shows
that the algorithm for audio encryption have a high degree of confidence, large
key space reached more than 2672 possible of a key, key sensitivity, and high
quality of recovered digital audio. Chaos system and secret sharing process
with multi-cover images offers additional space, security for the secret audio
message, and quality for cover images. The power signal to noise ratio of cover
images reached to 57db with embedding 334 KB of secret audio with four cover
images.

This article presents design and evaluation of a sliding mode control scheme,
being applied to the case of an articulated vehicle. The proposed Sliding Mode Controller
(SMC) is based on a continuous sliding surface, being introduced for reducing the
chattering phenomenon, while achieving a better tracking performance and a fast
minimization of the corresponding tracking error. The derivation of the sliding mode
controller relies on the fully nonlinear kinematic model of the articulated vehicle, while the
overall stability of the control scheme is proven based on the Lyapunovs stability condition.
The performance of the established control scheme is evaluated through circle path
tracking scenario on a small-scale articulated vehicle.