Haider Th. Salim Al Rikabi

Bio: Haider Th. Salim Al Rikabi is an academic researcher from University of Wasit. The author has contributed to research in topics: Filter (signal processing) & Potentiometric titration. The author has an hindex of 2, co-authored 2 publications receiving 25 citations.

Finding the discriminative frequencies of motor electroencephalography signal using genetic algorithm

Abstract: A crucial part of the brain-computer interface is a classification of electroencephalography (EEG) motor tasks. Artifacts such as eye and muscle movements corrupt EEG signal and reduce the classification performance. Many studies try to extract not redundant and discriminative features from EEG signals. Therefore, this study proposed a signal preprocessing and feature extraction method for EEG classification. It consists of removing the artifacts by using discrete fourier transform (DFT) as an ideal filter for specific frequencies. It also cross-correlates the EEG channels with the effective channels to emphases the EEG motor signals. Then the resultant from cross correlation are statistical calculated to extract feature for classifying a left and right finger movements using support vector machine (SVM). The genetic algorithm was applied to find the discriminative frequencies of DFT for the two EEG classes signal. The performance of the proposed method was determined by finger movement classification of 13 subjects and the experiments show that the average accuracy is above 93 percent.

Potentiometric Determination of Fexofenadine Hydrochloride Drug by Fabrication of Liquid Membrane Electrodes

Abstract: This paper presents a study in the electrochemical methods for the preparation three new electrodes of Fexofenadine hydrochloride in a polymeric membrane. The first electrode was prepared from ion pair: molybdophosphoric acid reagent and fexofenadine cation with Di-n-butyl phthalate (DBPH), the subsequent electrode was prepared with O-Nitro phenyl octyl ether( NPOE) and the third electrode was set up by Tri-n-butyl phthalate (TBP), respectively as a plasticizers for determination of Fexofenadine hydrochloride drug. Two electrodes indicated a Nernstian response with a slope of [57.01, 56.70] mV.decade−1 for the first and second electrodes individually, with detection limits 5.6×10-6 mole.L-1 for first electrode and 3.5×10-6 mole.L-1 for second electrode and the third electrode was gave a non Nernstain response equivalent to 14.30 mV.decade−1. The electrodes work adequately over pH range (2.0-4.5),(2.5-4.0) and (2.0- 4.0) for Fexofenadine hydrochloride electrodes. The impact of interfering species was insignificant as demonstrated by selectivity coefficient values. The viability of the electrodes proceeded in a timeframe (41,36,and 13) days. The recommended electrodes were successfully used for the determination of Fexofenadine hydrochloride in pure form and pharmaceuticals preparations. This work arrived at excellent outcomes as far as the linearity, exactness, selectivity, and accuracy of the methods.

Enhancing the Efficiency of Solar Cell by using Internet of Things Applications

Abstract: The IoT is an essential for monitoring and controlling in real-time to reduce human efforts and time. This technique has been used by connecting the devices and sensors with the internet. In this proposed study, the prototype as a sample PV panel was used because it is an active element to produce power of low-cost effect, easy maintenance, easy installation, and encouraging large-scale solar photovoltaic installations. This massive scale of solar photovoltaic deployment requires sophisticated systems to automate the plant monitoring remotely using web-based interfaces. Most of them are installed in inaccessible locations and thus unable to be monitored from a dedicated location. The discussion in this paper is built based on the implementation of a new cost-effective methodology based on IoT to remotely monitor a solar photovoltaic plant for performance evaluation. This method facilitates preventive maintenance, fault detection, historical analysis of the PV panel as well as real-time monitoring. In this paper, two parameters were studied. Firstly, the sensors of dust and LDRs. Secondly, the fault detection for monitoring and controlling. The performance showed an approach of 50% than the dusty panel. The results showed a better response and accurate information which approach 90% using fault detection

Enhancement of educational services by using the internet of things applications for talent and intelligent schools

Abstract: This study deals with the issue of improving educational services for schools of talent and intelligence. The availability of devices, equipment, sensors, and the Internet of things applications led to a direct contribution to improve the level of student education. In addition, the students can complete the tasks and homework easily. The talented and intelligent students are more efficient, skilled, and active. In addition, they are Deeping to understand virtual reality and coexist with it with awareness and consciousness of the development period of information, the spread of equipment, and smart devices. Educational entities achieved their goals by graduating intelligent students who can join the labor market and contribute to the development of the country. In this research, the important features of the Internet of things that are available in the educational environment were studied, and how to get the benefit from them in developing educational services and scientific research service. The Developing of artificial intelligence capabilities, building the right management strategies and creating comprehensive (security, health, and economic) databases that can be relied upon with complete reliability.

A Novel Method of Multimodal Medical Image Fusion Based on Hybrid Approach of NSCT and DTCWT

Abstract: The approach of multimodal medical image fusion, which extracts complementary information from several multimodality medical pictures, is one of the most significant and beneficial illness study tools. This work proposed an effective strategy for multimodal medical picture fusion based on a hybrid approach of NSCT and DTCWT. The experimental study's input multimodality medical images included computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET). A suggested approach employs a convolutional network to generate a weight map that incorporates pixel movement information from dual or more multimodality medical pictures. To provide greater visual comprehension by humans, the medical picture fusion method is performed on a multiscale basis using medical image pyramids. Additionally, a local comparison-based method is employed to adaptively alter the fusion mode for the decomposed coefficients. The proposed fusion methodologies result in the highest-quality fused multimodal medical pictures, the lowest processing period, and the finest visualization in terms of visual quality and objective assessment standards.

A comprehensive system for detection of flammable and toxic gases using IoT

Abstract: The majority of the existing gases constitute a risk to the health of humans and the environment in general. There is a wide range of diseases that can arise as a result of exposure to toxic and dangerous gases, which can be a cause of death or serious health problems. More so, deadly explosions may occur as a result of leakages of such gases. However, such consequences can be avoided when these dangerous gases are not detected early. Many researchers have proposed different kinds of systems for the detection of gas leakage, but most of the proposed systems were mainly designed to detect LPG gas. Therefore, in this study, a system is proposed for detecting different kinds of flammable and toxic gases. The gases that are detectable by the proposed system include smoke, Ethanol, CNG Gas, Methane, toluene, propane, Carbon Monoxide, acetone, Hydrogen Gas, and Formaldehyde. The system can detect gases efficiently and release evacuation alarms simultaneously, then send SMS for emergencies. The proposed system is ready to use and can be installed at any work location.

The Impact of Teaching by Using STEM Approach in The Development of Creative Thinking and Mathematical Achievement Among the Students of The Fourth Scientific Class

Abstract: The research aims to know the impact of science, technology, engineering, and mathematics education on both creative thinking and mathematical achievement. To achieve it, the two researchers followed the quasi-experimental approach with an experimental design for two groups, one experimental and the other a control. The research sample consisted of (32) female students from the fourth scientific grade in Al-Intisar Preparatory School for Girls / Al-Rasafa, First Directorate. The sample was chosen intentionally and was divided into two groups: a control group studying by the traditional method, their number (16), and an experimental group that applied the STEM approach, their number also (16). There was parity between the two research groups in the variables (chronological age, previous achievement in mathematics, innovative thinking). The research tools consist of testing innovative thinking skills (fluency, flexibility, originality, relationships) and achievement tests. The research experiment was applied before and after. To test the validity of the hypotheses, data were collected and then statistically analyzed using appropriate statistical methods. The results of the research found that there were statistically significant differences in both the tests of innovative thinking and mathematical achievement in favor of the experimental group that studied according to the STEM approach, and in light of the results, the researchers recommended several recommendations and suggestions.

The Impact of CATs on Mathematical Thinking and Logical Thinking Among Fourth-Class Scientific Students

Abstract: The aim of the research is to find out the effect of applying classroom assessment techniques (CATs) on both mathematical and logical thinking among fourth-grade scientific students. In pursuit of the research objectives, the experimental method was used, and the quasi-experimental design was used for two equivalent groups, one control group taught in the traditional way and the other experimental taught according to the techniques of classroom structural evaluation. The research sample consisted of (44) students from the fourth scientific grade who were intentionally chosen after ensuring their equivalence in several factors, most notably chronologi-cal age and the level of mathematics, and they were distributed equally among the two groups. To implement the research, three tools were built, represented in the teacher's handbook for applying the class formative assessment, the mathematical reasoning test, and the logical thinking test. The two researchers applied the exper-iment in the first semester of the academic year (2019/2020) AD. The two re-searchers applied the techniques of class formative assessment to the experimental group, while the control group studied according to the usual method, and then the mathematical thinking test and the dimensional logical thinking test were applied. On the experimental and control groups. The results showed that there were statis-tically significant differences between the mean scores of the two groups on the mathematical thinking test, and there were also statistically significant differences between the mean scores of the two groups on the logical reasoning test. The size of the effect of applying the class formative assessment on both thinking was calcu-lated, and it appeared that it had a clear effect on both mathematical thinking and logical thinking. In light of the results, the two researchers recommended a number of recommendations.