Preferred Language
Articles
/
qRf62JIBVTCNdQwC7MGO
The effect of special exercises using some auxiliary tools to develop some bio-kinetic abilities and the accuracy of the crushing and snatch forehand strikes among badminton players
...Show More Authors

The best means and ways to develop an athlete's physical and skill capabilities, and among these means is the use of training aids that help develop some bio-kinetic abilities, and prepared exercises have had an important role in improving athletic performance in badminton, where the player must possess physical fitness, explosive power, and strength. Characterized by speed as well as accuracy, awareness, and focus while playing on the court, the badminton player must be physically fit through a continuous movement of small and large muscles to achieve good performance, which requires special physical abilities and skills, and the most important of these bio-kinetic abilities are agility, coordination, and measuring the coordination between the eye and the arm. These abilities are needed by the badminton player while playing on the court. The study aimed to prepare special exercises using some auxiliary tools to develop some bio-kinetic abilities and the accuracy of the crushing and lightning forehand strikes among badminton players, in addition to identifying the effect of special exercises using some auxiliary tools on For badminton players, the researcher adopted the experimental method, and the sample number was (10) players from the badminton training center in the Armenian club, aged (17-19). They were distributed into two experimental and control groups, and they were chosen randomly because the research objectives require the use of athletes proficient in the game's technical performance. The researcher applied her main experiment using special exercises with some auxiliary tools, with (4) training units per week for (8) weeks. The results of the study showed that there was a positive effect on the results of bio-kinetic abilities between the two groups and in favor of the experimental group. It was shown in the kinetic response speed test for the first experimental group 7.423, agility 3.012, and compatibility 3.123, and for the second experimental group in the kinetic response speed test 3.208, agility 6.861, and compatibility 6.907. As for the skill tests for the first experimental group, The front smash hit was 7,234 and the diagonal front snap shot was 28.00. It was shown in the skill tests for the second experimental group that the front smash hit was 3,372 and the diagonal front snap shot was 3,400, which included exercises. The researcher recommends adopting the results of this study and disseminating them, and emphasizing equipping the stadiums with modern training methods, due to the results they achieve. Positive physical development serves one of the goals of sustainable development: good health and good education.

Scopus Crossref
View Publication Preview PDF
Quick Preview PDF
Publication Date
Fri Jul 23 2021
Journal Name
International Journal Of Dentistry
Predicting Canine and Premolar Mesiodistal Crown Diameters Using Regression Equations
...Show More Authors

Objectives. The current study aimed to predict the combined mesiodistal crown widths of maxillary and mandibular canines and premolars from the combined mesiodistal crown widths of maxillary and mandibular incisors and first molars. Materials and Methods. This retrospective study utilized 120 dental models from Iraqi Arab young adult subjects with normal dental relationships. The mesiodistal crown widths of all teeth (except the second molars) were measured at the level of contact points using digital electronic calipers. The relation between the sum mesiodistal crown widths of the maxillary and mandibular incisors and first molars and the combined mesiodistal crown widths of the maxillary and mandibular canines and premolars was as

... Show More
View Publication
Scopus (3)
Crossref (2)
Scopus Clarivate Crossref
Publication Date
Mon Oct 10 2016
Journal Name
Iraqi Journal Of Science
Satellite image classification using KL-transformation and modified vector quantization
...Show More Authors

In this work, satellite images classification for Al Chabaish marshes and the area surrounding district in (Dhi Qar) province for years 1990,2000 and 2015 using two software programming (MATLAB 7.11 and ERDAS imagine 2014) is presented. Proposed supervised classification method (Modified Vector Quantization) using MATLAB software and supervised classification method (Maximum likelihood Classifier) using ERDAS imagine have been used, in order to get most accurate results and compare these methods. The changes that taken place in year 2000 comparing with 1990 and in year 2015 comparing with 2000 are calculated. The results from classification indicated that water and vegetation are decreased, while barren land, alluvial soil and shallow water

... Show More
Publication Date
Wed Aug 11 2021
Journal Name
International Journal Of Interactive Mobile Technologies (ijim)
Image Denoising Using Multiwavelet Transform with Different Filters and Rules
...Show More Authors

<p class="0abstract">Image denoising is a technique for removing unwanted signals called the noise, which coupling with the original signal when transmitting them; to remove the noise from the original signal, many denoising methods are used. In this paper, the Multiwavelet Transform (MWT) is used to denoise the corrupted image by Choosing the HH coefficient for processing based on two different filters Tri-State Median filter and Switching Median filter. With each filter, various rules are used, such as Normal Shrink, Sure Shrink, Visu Shrink, and Bivariate Shrink. The proposed algorithm is applied Salt&amp; pepper noise with different levels for grayscale test images. The quality of the denoised image is evaluated by usi

... Show More
View Publication
Scopus (4)
Crossref (2)
Scopus Crossref
Publication Date
Mon Jan 02 2012
Journal Name
Journal Of Engineering
3-D Object Recognition using Multi-Wavelet and Neural Network
...Show More Authors

This search has introduced the techniques of multi-wavelet transform and neural network for recognition 3-D object from 2-D image using patches. The proposed techniques were tested on database of different patches features and the high energy subband of discrete multi-wavelet transform DMWT (gp) of the patches. The test set has two groups, group (1) which contains images, their (gp) patches and patches features of the same images as a part of that in the data set beside other images, (gp) patches and features, and group (2) which contains the (gp) patches and patches features the same as a part of that in the database but after modification such as rotation, scaling and translation. Recognition by back propagation (BP) neural network as com

... Show More
View Publication
Publication Date
Tue May 01 2018
Journal Name
Journal Of Physics: Conference Series
Information hiding in digital video using DCT, DWT and CvT
...Show More Authors

The type of video that used in this proposed hiding a secret information technique is .AVI; the proposed technique of a data hiding to embed a secret information into video frames by using Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Curvelet Transform (CvT). An individual pixel consists of three color components (RGB), the secret information is embedded in Red (R) color channel. On the receiver side, the secret information is extracted from received video. After extracting secret information, robustness of proposed hiding a secret information technique is measured and obtained by computing the degradation of the extracted secret information by comparing it with the original secret information via calculating the No

... Show More
Scopus (17)
Scopus
Publication Date
Fri Aug 01 2008
Journal Name
2008 International Symposium On Information Technology
Generating pairwise combinatorial test set using artificial parameters and values
...Show More Authors

View Publication
Scopus (5)
Crossref (1)
Scopus Crossref
Publication Date
Thu Dec 15 2016
Journal Name
Research Journal Of Applied Sciences, Engineering And Technology
Building Words Dictionary List Using Symbol Enumeration and Hashing Methodology
...Show More Authors

View Publication
Crossref (1)
Crossref
Publication Date
Tue Dec 28 2021
Journal Name
2021 2nd Information Technology To Enhance E-learning And Other Application (it-ela)
Pedestrian and Objects Detection by Using Learning Complexity-Aware Cascades
...Show More Authors

View Publication Preview PDF
Scopus (7)
Crossref (2)
Scopus Clarivate Crossref
Publication Date
Tue Dec 17 2019
Journal Name
Lecture Notes In Electrical Engineering
Aspect Categorization Using Domain-Trained Word Embedding and Topic Modelling
...Show More Authors

Aspect-based sentiment analysis is the most important research topic conducted to extract and categorize aspect-terms from online reviews. Recent efforts have shown that topic modelling is vigorously used for this task. In this paper, we integrated word embedding into collapsed Gibbs sampling in Latent Dirichlet Allocation (LDA). Specifically, the conditional distribution in the topic model is improved using the word embedding model that was trained against (customer review) training dataset. Semantic similarity (cosine measure) was leveraged to distribute the aspect-terms to their related aspect-category cognitively. The experiment was conducted to extract and categorize the aspect terms from SemEval 2014 dataset.

View Publication Preview PDF
Scopus (5)
Crossref (3)
Scopus Crossref
Publication Date
Wed Dec 13 2017
Journal Name
Al-khwarizmi Engineering Journal
Digital Image Watermarking Using Arnold Scrambling and Berkeley Wavelet Transform
...Show More Authors

Embedding an identifying data into digital media such as video, audio or image is known as digital watermarking. In this paper, a non-blind watermarking algorithm based on Berkeley Wavelet Transform is proposed. Firstly, the embedded image is scrambled by using Arnold transform for higher security, and then the embedding process is applied in transform domain of the host image. The experimental results show that this algorithm is invisible and has good robustness for some common image processing operations.

View Publication Preview PDF