Kurdistan Journal of Applied Research (KJAR)
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Friction and Wear Resistance for Polyetheretherketone Filled with Different Filler Materials: A Comparative Study
Get PDFFriction and wear behavior of Polyetheretherketone (PEEK) filled with different filler composites were compared. The comparisons were made for different scholar research works which were published between 1987 – 2017.The comparison took place between different filler composites such as carbon fiber (CF) reinforced Polyetheretherketone, nanometer Al2O3, nanometer SiC, polytetrafluoroethylene (PTFE) filled PEEK, nanometer ZrO2, nanometer SiO2, nanometer Si3N4, CuS, short fiber reinforced PEEK composites, PEEK-CF30, GO-Si and Graphite composites.The friction and wear were studied according to different factors of the filler composites such as plasma treated PEEK, volume percentage, weight percentage, sliding distance, surface of roughness, and size of particles.By this work we can understand the effect of some nanometer particles which act as fillers in polyetheretherketone, and by this comparison study we conclude that friction and wear properties can be decreased or increased or stay unchanged by increasing and decreasing the amount of fillers but it can be improved by adding different fillers with certain properties to obtain optimal results
Epidemiological and Clinical Characteristics of Hepatitis C Viral Infections in Tertiary Centres in Sulaimani City / Kurdistan Region of Iraq
Get PDFHepatitis C infection is one of the most common causes of chronic liver disease. It is growing threat and main burden on public health. Globally more than 170 million people are infected with hepatitis C virus (HCV), up to 4 million new infections annually and each year more than 350000 dies of HCV related complications, including cirrhosis and hepatocellular carcinoma (HCC). Thus this descriptive case-series study was conducted in five health facilities in Sulaimani city, from 23rd December 2015 to 10th of June 2016. The data were collected from 180 HCV infected patients by face to face interview; they were interviewed privately by using a structured questionnaire. P-values of ?0.05 were considered statistically significant. Out of 180 patients, 45% were males and 55% were females, the mean age of the cases was 33.18 years, regarding marital status 55.5% of the cases were single. The majority of the cases were diagnosed by routine screening. Most of the patients (70.7%) had no signs and symptoms at the time of diagnosis. In each patient at least two identifiable risk factors for getting HCV infection were reported. Among the patients that had genotype test, 67.2% of them infected with genotyope1. More than three-quarters of the participants had elevated alanine aminotransferase (ALT) and aspartate aminotransferase (AST). More future studied parameters and practical skills should be performed to significantly reduce the risk of HCV infection in Sulaimani
Speed up Eulerian Video Motion Magnification
Get PDFA standard video can have small video motions that are difficult to see by naked eye because of it limited sensitivity. These hidden signals variation may have highly useful information that can be used in variety of applications fields such as healthcare, biology, mechanical engineering, civil engineering, military and security. Eulerian Video Motion Magnification is a system used to detect and amplified tiny motions in video. This system have a problem with processing time, it consumes too long time to complete the spatial _ temporal analyzing. This paper, proposes a modified approach to Speed up the processing time of Eulerian motion magnification, it minimizes the analyzing area of frames and applying the analyzing process only on a tiny motion area and ignores all unchanged background. The test results show that the proposed approach has speed up the processing time of Eulerian Motion Magnification may be to , more than 70% percentag
Sumerian Character Extraction by Using Discrete Wavelet Transform and Split Region Methods
Get PDFthis paper proposed a new method to extract characters from Sumerian Texts in Sumerian cuneiform tablets from the Ur III period. The work was confronted by the challenges posed by the fact that Sumerian is not a well understood language and it is not similar to any other ancient or modern language, so we offered a new method for extracting characters from Sumerian tablets,it has an accurate results and better time consuming than other methods, taking many tablet images and applying preprocessing methods to enhance and segment the image and then discrete wavelet transformation and we extract characters for each tablet image by split region algorithm, this work will be very helpful to Cuneiforms and scholars in their field
Design and Simulation of Microstrip Patch Antenna for Wireless Applications
Get PDFIn this paper two rectangular microstrip patch antennas are designed to operate in and bands, using Computer Simulation Technology (CST) Microwave Studio. The designed antenna can be used for industrial, scientific and medical (ISM) band applications. The RO4350B hydrocarbon ceramic laminates from ROGRES corporation substrate is chosen in the design of the dielectric substrate of the antennas. The designed antenna has low profile, low cost, easy fabrication and good isolation. The parameters such as return loss, voltage standing wave ratio (VSWR), antenna gain, radiation pattern has been simulated and analyzed
Intrusion Detection and Prevention Systems in Wireless Networks
Get PDFIn society today, public and personal communication are often carried out through wireless technology. These technologies can be vulnerable to various types of attacks. Attackers can access the signal to listen or to cause more damage on the wireless networks. Intrusion Detection and Prevention System (IDPS) technology can be used to monitor and analyze the signal for any infiltration to prevent interception or other malicious intrusion. An overview description of IDPSs and their core functions, the primary types of intrusion detection mechanisms, and the limitations of IDPSs are discussed. This work perceives the requirements of developing new and sophisticated detection and prevention methods based on, and managed by, combining smart techniques including machine learning, data mining, and game theory along with risk analysis and assessment techniques. This assists wireless networks toremain secure and aids system administrators to effectively monitor their systems
Identify and Classify Normal and Defects of Prunus_armeniaca Using Imaging Techniques
Get PDFThe Prunus_armeniaca fruit is classified manually in wholesale markets, supermarkets and food processing plants on a normal or defects basis. The aim of this research is to replace the manual sorting techniques using computer vision techniques and applications by proposing techniques for identify and recognitions patterns through the use of 150 fruits of Prunus_armeniaca, 10 for the testing stage in fresh and 10 for testing stage in case of defects. The fruits Prunus_armeniaca collected from growing trees in the large fields of Salah al-Din province\Iraq. The system designed for classification based on the color image taken inside a black box used camera pixel resolution of (13 mega) with a constant intensity of light. . Used K-mean in phase segmentations and only computed 13 features derive statistics from GLCM .classification phase used SVM classify fruit into two class, either (normal or defects) .Results the system success rate reach 100%.The work done using MATLAB R2016a
Understanding Student’s Learning & e-Learning Style Before University Enrollment: A Case Study in Five High Schools / Sulaimani-KRG
Get PDFIn spite of the advantages of e-learning which have been talked about in different past researches; it is a basic issue to better understand the reasons why a few numbers of students have been disappointed with the e-learning background. Along these lines, these examinations of the researches among students are fulfillment, behavioral goals, and the adequacy of the conventional learning framework that KRG utilizes with worldwide using of e-learning system. A total of 500 secondary school students of 11 and 12 grades was surveyed using a standard survey of questionnaires. The outcomes demonstrated that apparent self-viability is a basic factor that impacts students' fulfillment with the e-learning framework and shows how the customary framework has numerous disadvantages. Seen convenience and saw fulfillment both add the student’s behavioral expectation to utilize the e-learning framework. Besides, e-learning viability can be affected by multimedia guideline, intuitive learning exercises, and e-learning framework quality. This examination proposes an applied model for student’s fulfillment, behavioral aim, and viability of utilizing the e-learning framework before enrolling in the university
Reviews Sentiment analysis for collaborative recommender system
Get PDFrecommender system nowadays is used to deliver services and information to users. A recommender system is suffering from problems of data sparsity and cold start because of insufficient user rating or absence of data about users or items. This research proposed a sentiment analysis system work on user reviews as an additional source of information to tackle data sparsity problems. Sentiment analysis system implemented using NLP techniques with machine learning to predict user rating form his review; this model is evaluated using Yelp restaurant data set, IMDB reviews data set, and Arabic qaym.com restaurant reviews data set under various classification model, the system was efficient in predicting rating from reviews
A Proposed Lossy Image Compression based on Multiplication Table
Get PDFLately, Internet improved in the various trends, especially, the use of the image increased due to the daily use in several scopes like social media (Facebook, Twitter, WhatsApp, etc.), connected devices (sensor, IP camera, Internet of Things (IoT) Internet of Everything (IoE), etc) and smart phone devices that users interchanged images estimated in the billions. So, images issues in internet can be summarized into two criteria, the first criteria is considered with transmit image size. The second criteria is considered with low bandwidth through transmission. This paper exhibits a methodology for image compression using an idea of multiplication Table. The suggested algorithm helpful in realizing a preferable achievement by presenting a high Compression Ratio, preserve image quality with a high PSNR, small losing in the original image and efficiently in running time