A Grey Wolf Optimizer Feature Selection method and its Effect on the Performance of Document Classification Problem

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.

Design and Manufacturing of a New Prosthetic Foot

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 characteristics when compared with the SACH foot, such as good dorsiflexion (7°-6.4°) respectively.Prosthetic foot

Computation of Wavelet and Multiwavelet Transforms Using Fast Fourier Transform

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.

Natural Product Chemistry Research in Iraq

Today's west an east scientists developed synthetic drugs but because of problems of the side effects and high cost in addition to resistant developed which not happened in using natural drugs this push the scientist in all over the world to look for new drugs from natural compounds. In Iraq. Since 1980 up today we started a plan led by scientist in Chemistry ,Pharmacology, Physician ,Biology in all universities & medical research centers and we started to develop anew methods for extraction ,isolation,identication of active constituent and trying the active constituent biologicaly and Pharmacologicaly in invitro and invivo on experimental animals . We started screening of more than thousand plants which indigenous in Iraq and take the knowledge from folkloric physician and old information about these from ancient books and references we found around two hundred promising plants we developed methods of extraction , isolation using chromatography and trying to evaluate their efficacy .We managed to prepare drugs to treat warts from ficus caria vitexin from cratagus azorolus, prosoptatin anew antihyperlipidemic drug from prosopis farcta etc. A new method of isolation and identification by new phytochemical methods and new experimental tool for each active constituent are as example how to separate alkaloids, cardiac glycosides inotropic agents , polyphenoles etc. In addition to bacteriological ,toxi-pathological methods then pass to prepare anew natural drugs prepared with highly sophisticated methods and with highly efficiency which may be better than synthetic drugs and more safe .

Association of TNFRII polymorphisms and IL-37 in rheumatoid arthritis Iraqi patients

Fifty RA patients and 50 healthy individuals have been participated in this study. 196 M/R polymorphism of TNFRII gene determined by PCR-RFLP, IL-37 level was measured by ELISA technique, also RF, ACCP, CRP measured by ELISA technique. Our study shows an increase in IL-37 levels in patients was suffered from rheumatoid arthritis relative to control group. (M=101.31+10.41) That shows major differences between patients and controls (p<0.01) and increasing level of IL-37 correlate significantly with increasing level of CRP (p<0.05). The frequencies of TNFRII gene polymorphism were significantly correlate with the IL-37 level (p<0.01) in RA patients compared with control group. In conclusion, IL-37 increased in RA patients associated with disease development, also significantly associated with TNFRII polymorphism.

Design and implementation of irrigation prototype system based GSM

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.

Precise voltage control, power sharing for DC-bus with hybrid energy storage and (Neuro-Fuzzy) controller based MPPT for Hybrid Renewable Energy

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 consist 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.

Big Data Visualization by MapReduce for Discovering the Relationship Between Pollutant Gases

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.

Effect of piezoelectric material on vibration of vessel of marine transportation

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.

Facial Expression Recognition from Video Sequence Using Self Organizing Feature Map

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.