The idea of spatial interpolation stands of great importance depending on the accuracy of
estimated (Hydrogeological) parameters of this area, which reduces excessive efforts to
reach the best Hydrogeological model of the region with as little as p
ossible, thus reducing
the overall cost of the project.
The studied area is located within the Sin plain (the southern part of the JABLEH plain).
A free layer of water, ranging between 1m and 30m in thickness.
The study relied on groundwater level data, soil thickness and type in 339 wells.
The importance of this research Lies in mapping the best spatial distribution of
characteristics using spatial statistical methods
The aim of the research is to estimate the Coefficient of Permeability of the aquifer layer
and its effective thickness using the two methods of spatial statistics methods (Kriging and
IDW) for Hydrogeological parameters in the southern part of the Jableh plain.
This paper presents a new type of encryption, using a matrix
asymmetric and symmetric matrix inverse matrix clear text, which
is an internal encryption.
As well as asymmetric encryption, where the ciphertext is inversely
symmetric matrix.
Decryp
tion matrix related to any asymmetric encryption keys
depends on public and private, and is applied to the coded messages
used in the current system ASCII our computers.
This research is centered on design of a serial industrial manipulator with 4 degrees
of freedom(4-DOF) in order to manipulation on production linesand packaging tasks of
small pieces, it is characterized by flexibility and the possibility of compa
tibility with other
robots in the work area.
Research explains the Mechanical description of the manipulator and the study of the
inverse kinematic and direct kinematics in addition to the study of the path of the
manipulator.Manipulator electric engines are servo motors (DC Servo motor). The design
of the electronic driving system of the robot depends on the Arduino Board(Arduino
UNO).
The application interface, which was built within the software (Microsoft Visual
Studio), allows to easily control the manipulator.Where the robot three-dimensional model
(3D) simulates the movement of the robot at work.
In the latter part of the research we discussed practical prototype test results of the
robotic manipulator that we have designed and implemented.
The robotic manipulator's control process involves many
engineering challenges from mechanical design phase to the phase
of programming. The inverse kinematics problem is one of the most
difficult challenges, as it requires determining the angles
of joints
for a desired position of the end-effector, the difficulty of this
problem comes from the none linearity and the possibility of
multiple solutions or lack of solutions in some cases. Many
solutions were proposed to solve the issue of inverse kinematics;
analytically and numerically in addition to the solutions which
based on artificial intelligence. In this research the solution of
inverse kinematics using Adaptive Neuro-Fuzzy Inference System
was discussed and amendments were proposed and indicated their
usefulness.
Industrialists interested automates their factories to increase production, reduce costs
and improve quality by using robots in leadership and finishing most of the production
processes, where robots characterized as mechanical structures programma
ble to perform
tasks accurate, speed and reliability.
Research depend in concluding the optimal path on generating virtual paths
(triangular, curved, square) reflects the robotic arm movement to reach the target point,
where as it has been known moving time and angles of rotation and torque in the joints
under the influence of gravity through the study of horizontal and vertical movement of the
robotic arm.
A study of suggested trajectories for the robotic arm shows that the best paths on the
safety of robotic arm motors is semi-circular path as limiting the occurrence of mechanical
shocks or the appearance of high values of the joints torques. while showing that the path
that achieves less time to reach the target point and less amount of energy is the triangular
path in the case of horizontal motion of the robotic arm despite the emergence of sharp
deviations in the torque and power schemas as a result of the sudden change in the
direction of movement.
The negative impact of gravity is especially apparent when the second joint up or
down movement, causing the appearance of peaks in energy curve reflects the high values
of determination in this joint.
Background & Objective: Spray drying techniques are used to produce inhaled powders of enzymes and proteins without denaturation. The surface free energy data of these powders is used to reduce the time of formulation development. During storage, the
surface free energy of the inhaled protein powders could change and so their performance will be affected. Many factors affect the limit of this change. Storage temperature is the critical factor.
Material& methods: A spray drying method was optimized to prepare inhaled spray dried lysozyme powders. Inverse gas chromatography was utilized to measure the surface free energy of the prepared powders pre and post-storage to detect the effect of storage temperature on the surface free energy.
Differential Scanning Calorimetry and biological activity tests were used to evaluate the integrity of lysozyme conformation after storage at different storage temperature.
Results: Increasing the storage temperature decreased both dispersive and specific surface components of the spray-dried lysozyme powders significantly (ANOVA: P < 0.001) up to 12% and up to 31 % after storage for one year at 40 °C, respectively. The overall decrease in the polar components resulted in a
reduction of the surface basicity. These decreases in the surface energetics would be due to the aggregation of denatured lysozyme molecules at the powder surface via hydrophobic regions rich with electrons. The same results were found after storage for one year at room temperature, but the extents of
changes were smaller.
Conclusion: It is advisable to store protein powders at 5°C to inhibit the changes in their surface free energy which is the crucial factor affecting their performance.
Neuroprosthesis can be used to restore lost motor functions for paraplegicsby using functional electrical
stimulation (FES). Neuroprosthesis controllers determine the relationship between the stimulation pulses
and joint angles to generate electric
al stimulation patterns for the desired movement.To develop
intelligent controllers, an inverse model which is the basic component of the intelligent controller is built
by using empirical approaches to get a data set that consists of input (stimulation pulses) and output (joint
angles). Because of the numerous exhausting experiments on patients and the need for repetition during
Controller design, this study uses modeling and simulation to generate the data setthrough developing
humanoid model, and simulating practical trials of quadriceps stimulation during swing leg movement.
We connected three programs to develop a humanoid model by building: body segments in Visual
Nastran 4D, muscles in Virtual Muscle 4.0.1, and passive joint properties in Matlab/ Simulink. Then the
humanoid model was used to producethe identification data sets, through applying sinusoidal and random
signals to simulate the stimulation of the knee extensors.
The humanoid model can fit different users by using a number of graphical user interface screens to
change the human and muscles parameters, so it is a generic model. It can be used in developing
controllers to restore lost movement such as standing up, walking, jumping, etc.
The simulation results is similar to practical trials, so using the developed model can reduce the number
of experimental tests to be performed with patients during Neuroprosthesis controllers design.
This study aimed to choose a suitable standard model of consumer
expenditures on local sheep meat at two levels, family and capita by using
cross-section data for the year 2009. Results showed that the Log-Inverse (LI)
functional was the best mode
l to express the relationship between total
expenditure and spending on sheep meat expenditure at family and capita
levels and the values of coefficient of determination (R2) were 0.203 and 0.37 at
family and capita levels respectively with expenditure elasticity was 0.867 at
family average expenditure level. This might reflect the fact that the sheep meat
is considered a luxury commodity in case of decreasing family average
expenditure below 18001 SP per month.
This research aimed to study the lengths effect of calculated filter- operator
by inverse filtering on the seismic data filtering. All programs used for
estimating the seismic signal, calculate the Filter- operator and performing the
Convolution w
ere written by author.
Some experiences about the influence of the length of filter-operator of the
outcomes of the inverse filtering were performed. The seismic data used in this
research were measured in two different areas in Syria, Alsaegh dam nearby
Sueda City and Rajo dam nearby Aleppo City. In addition, experiences are
carried out to test the effect of shortening the length of filter-operator.
The results showed that small length of filter-operators can be used by
inverse filtering without negative effect on the resolution of seismogram. In
addition we noticed that shortening the length of filter-operator depend on the
length of calculated filter-operator.
We prove that the sum A + B of closed subspaces A and B of the inverse
limit of finite dimensional vector spaces, V = limVn (n ∈ N) over an
algebraically closed field of characteristic 0 is closed.
We extend also the basic fact that every ideal of a finite dimensional
semisimple Lie algebra has a unique complement to the case of closed ideals of
prosemisimple Lie algebras.
