journal port science research

Automatic analysis of facial expressions is rapidly becoming an area of intense interest in
computer vision and artificial intelligence research communities. In this paper an approach is presented for
facial expression recognition of the six basic prototype expressions (i.e., joy, surprise, anger, sadness, fear,
and disgust) based on Facial Action Coding System (FACS). The approach utilizes the topological ordering
patterns produced by Kohonen Self Organizing Map, in which implemented on expression image sequence
for each prototype facial expression. The map will compute the topological relationship between the
particular expression sequences, starting from the neutral expression to peak. This method tried to find a
topological ordering pattern (shape) for each expression; it will not require any pre-processing tedious work
such as normalization. The only requirement is that, image background must be kept constant, also with
non-rigid head motion. The feature extraction phase had been performed by this method, while the
classification phase done by especially designed procedures for shape and direction finding to recognize the
pattern of the shape, thereafter the type of the expression also backpropagation neural network is
implemented for the classification task. An average recognition rate of 88.7% was achieved for six basic
expressions, where different databases had been used for the test of the method.

Big data mining and pollution are extremely important issues in todays. An innovative method
in this study was used for visually discovering the relationship between pollutant gases by MapReduce. One
dimensional, two-dimensional, and three-dimensional visualization used to visualize the data, that was
processed as an hourly reading for one year from an air quality monitoring station to study the behaviors of
pollutant gases distribution, and to show graphically the distribution of one, two, or three gases. The number
of readings used in this paper are 8760 hourly readings for each of the five pollutant gases under this study.
Pearson correlation used to explore numerically the correlation between the pollutant gases, and eta factor
used to evaluate the effect of one gas on the other pollutant gases. We found out by both methods, visually
and numerically the same facts that related between the pollutant gasses. The ozone has a moderate negative
correlation of value -0.622 with nitrogen dioxide, and weak negative correlation of value -0.248 with carbon
monoxide, and -0.155 with carbon dioxide. Ozone has approximately no correlation of value .060 with silver
dioxide. The carbon monoxide has moderate positive correlation of value 0.364 with carbon dioxide. The
eta factor between ozone and nitrogen dioxide is very weak of values 0.292, and 0.009 with Sulphur dioxide,
this proved an important fact that the ozone, nitrogen dioxide, and Sulphur dioxide sources are different.
The study recommends that each country must analysis visually and numerical the big data that was
collected yearly from the monitoring stations to control the pollution gases especially near the large
industrial factories.

The drive arrangement of normal marine vessels involves a propeller coupled to a progression
of shafts and diary orientation which is at last associated with a push bearing which sends the propeller
pivotal power into the frame of the boat through a push block coupled to the mass head. For effortlessness,
the framework is improved to a propeller, a solitary shaft, diary bearing and a push bearing. As the vessel
travels through the sea, a wake is produced. This non-uniform wake field is the inflow to the propeller. The
power produced by the propeller is additionally non-uniform. The impetus arrangement of a marine vessel
is the principle supporter of commotion emanated from the vessel. It is along these lines important to
diminish the commotion sent from the propeller into the sea and consequently the vibration that is created
by the propeller that is thus communicated into the body. The inspiration for lessening commotion and
vibration remembers diminishing mechanical wear for segments, expanding secrecy limit of military
vessels, improving traveler and group solace, and decreasing the effect on marine conditions. The point of
this theory is to dissect the shaky power created by the propeller, the power transmission ways, and
techniques to quantify the power transmission through the push bearing continuously.

The main objective of this work is to design and simulation of the stand-alone Hybrid
Renewable Energy system (HRES), separated from the main local network, the effect of super capacitors
when connected to the system, and the effect of power source control system on the response and work of
super capacitors. It consists of Photovoltaic, Wind turbine, Hybrid Energy Storage System (HESS). The
HESS system consists of Batteries, Supper capacitors, with chargers. The proposed system used real record
of weather pattern and load conditions for Al-Mahmoudiya Hospital. The variable sources are changing
with different weather conditions. Being important energy sources for generating electricity directly from
the sun. In order to generate electrical energy that is sustainable and reliable, highly efficient, low cost, and
continuous. It can provide maximum power use. The absence of winds in most regions of Iraq permanently
led to the use of such a type of renewable energy (RE) system called solar updraft tower (SUT). The wind
turbine can be fixed inside the chimney of the SUT, to make the turbine run smoothly and continuously.
Each of the HRES parts is controlled by a converter specific to each source due to the nature of the nonlinear
source work. In this paper, the main sources of energy are photovoltaic panels and SUT. Finally, MATLAB
program using real recorded data, the system work at a high efficiency of 98%. So, the simulation results
show the HRES system have excellent results and fast tracking to supply the load demand.

Smart farming is one of the keys for future agriculture because it is a management to use
modern technology for increasing the quality and quantity of the agriculture. And because of the planet
quality depend on the amount of water and the characteristics of soil, it is necessary to study the soil using
the soil moisture sensor to investigate whether the soil is dry or wet, also to consider the challenges that
could be faced in agricultural environment by maintain the soil and the planets irrigated without extra usage
of water. In this paper, a prototype irrigation system uses Arduino Uno microcontroller which is
programmed in C++ language to sense the degree of moisture by using soil moisture sensor. According to
moisture sensor readings, when the moisture sensor above 1000, Arduino triggers to supply the water by
using 5V mini water pump and stop when the soil moisture sensor reading reaches below 400. GSM
technology enables the user to be notified in any changes happening in agricultural area by sending SMS
(Short Message Service). Whenever the soil become wet or dry and the mini water pump switched on or
off, a message delivered to user’s cellular phone indicating the condition of the soil and the action of water
pump. In that capacity, this prototype will reduce the time for the user by monitoring remotely without going
to his land, and also to reduce the usage of water by allow the water pump to flow the water for limited time
until the moisture degree raise again.

The paper presented a new concept of urban space, which the research called: (preventive
health space), through a literary review to study the relationship between the effects of epidemics and their
impact on transformations in the concept of urban space, in addition to studying the most important
strategies of cities that have proven effective in dealing with the global epidemic, to guide the future.
Research has been used the inductive method to interpreting the phenomena and problems presented to
previous in the same field, vocabularies have been derived from them to measure the transformation in the
post-pandemic urban space and in a disciplined manner, the paper reached a comprehensive theoretical
framework and a model that illustrates the most important planning characteristics of the new urban space
that appeared. And the birth of s space in which the requirements of a healthy environment are met to prevent
and control the spread of epidemics, which is what the research called (the preventive health space.

A novel fast and efficient algorithm was proposed that uses the Fast Fourier Transform (FFT)
as a tool to compute the Discrete Wavelet Transform (DWT) and Discrete Multiwavelet Transform. The
Haar Wavelet Transform and the GHM system are shown to be a special case of the proposed algorithm,
where the discrete linear convolution will adapt to achieve the desired approximation and detail
coefficients. Assuming that no intermediate coefficients are canceled and no approximations are made,
the algorithm will give the exact solution. Hence the proposed algorithm provides an efficient complexity
verses accuracy tradeoff. The main advantages of the proposed algorithm is that high band and the low
band coefficients can be exploited for several classes of signals resulting in very low computation.

All prosthetic foot designs, adapted in common use, don't imitate the specific qualities of a
typical human foot. The premise of this task is to explore current prosthetics so as to plan and assemble a
more human like prosthesis. In attempted such a structure, the new prosthesis will show a more extensive
scope of qualities than those showed in current prosthetic feet. In doing as such, the new prosthesis will
give a closer portrayal of the capacities inalienable to an ordinary human foot. The qualities associated
with ordinary strolling incorporate dorsiflexion foot test. The qualities showed in the produced new foot
tried are contrasted with those of" SACH foot". The qualities showed by prostheses which compared well
with those of a human foot were researched further. Another prosthetic foot is structured and made from
composite random E-glass-polyester. The premise of the new prosthetic plan consolidates current
prosthetic structure components, such as, prosthetic materials and segments. The scientific part presents
the aftereffects of the static investigation by techniques, such as, mathematical strategies (Finite Element
method FEM) and experimental methods. Thus the new foot was designed and dorsiflexion were measured.
The new prosthetic foot has a good characteristic when compared with the SACH foot, such as good
dorsiflexion (7°-6.4°) respectively.

Optimization methods are considered as one of the highly developed areas in Artificial
Intelligence (AI). The success of the Particle Swarm Optimization (PSO) and Genetic Algorithms (GA)
has encouraged researchers to develop other methods that can obtain better performance outcomes and to
be more responding to the modern needs. The Grey Wolf Optimization (GWO), and the Krill Herd (KH)
are some of those methods that showed a great success in different applications in the last few years. In this
paper, we propose a comparative study of using different optimization methods including KH and GWO
in order to solve the problem of document feature selection for the classification problem. These methods
are used to model the feature selection problem as a typical optimization method. Due to the complexity
and the non-linearity of this kind of problems, it becomes necessary to use some advanced techniques to
make the judgement of which features subset that is optimal to enhance the performance of classification
of text documents. The test results showed the superiority of GWO over the other counterparts using the
specified evaluation measures.