Voiced 3D Password Authentication

In today’s world, security is important aspect in day to day life .So, everyone used various ways for security purpose. People use passwords for their security .Generally, everyone uses textual password. Textual password is combination of alphabets and numbers. People keep textual password as name of their favorite things, actors or actress, dish and meaningful word from dictionary. But the person who is very close to that person can easily guess the password. Graphical password is advanced version of password. Graphical passwords have received considerable attention lately as Potential alternatives to text-based passwords. Graphical password is composed of images, parts of images, or sketches. These passwords are very easy to use and remember. To overcome the Drawbacks of previously existing authentication technique. We present A new improved authentication technique , This authentication Scheme is called as “ voiced 3D password”. The  voiced 3D password is multi-password & multi-factor authentication system as it uses a different authentication techniques such As textual  password , sound password, graphical password , biometrical password . Most important part of 3d password scheme is inclusion of 3D virtual environment. We proposed that user first can write him/her user name and textual password and then the program provide a studio for choosing the specific sound  , then passed to 3D virtual environment  . Shoulder-suffering attack is still can affect the schema of 3D password , so we add the Voiced 3D password to reduce that affect . Keywords:3D password , textual password , graphical password , biometric password , voiced password, Quick hull algorithms, convex hull algorithm 

Assessment of Nurses Knowledge and Protective Measurement Regarding Ebola in Kirkuk City Hospital

Background: Ebola, already known as Ebola hemorrhagic fever, is an extreme, frequently deadly infection in people and nonhuman primates, (for example, monkeys, gorillas, and chimpanzees). Aim of study: The aim the current study is to assess the nurses' knowledge and protective measurement regarding Ebola viruses. Methodology: Quantitative design (descriptive study) was conducted with nurses who provide direct nursing care in Kirkuk city hospitals including "Azadi Teaching Hospital"  "Kirkuk General Hospital" and "Pediatric Hospital". The period of the study was carried out from the 15th March 2016 to 22 of November 2016. A nonprobability (purposive) sample was selected, it consisted of 150 nurses, whereas 50 nurses were taken from each hospital. A questionnaire was produced for the purpose of study and based on related literature review. The overall questions included (63) items it was comprised of (5) parts: part (1) Socio demographic characteristics; part (2) Knowledge of nurses regarding general information about Ebola virus diseases; part (3) Knowledge of nurses concerning the methods transmission of Ebola ; part (4) Knowledge of nurses regarding investigation , Sign and Symptoms ; part (5) Nurses knowledge concerning Treatment & Nursing Care of ebola patients. By using the scale (Yes=2),(No=1), data were investigated through the application of descriptive statistical analysis "frequency" and "percentage" Results: findings the study indicated (27.3%) of sample from Age group were (20-25) year's old, (64%) were male, (44.7%) were Medical institutes graduated, (69.3%) were married, and (38.0%) of the nurses worked for (1-5) years at hospital. Conclusion: The nurse's knowledge were inadequate regarding general information about Ebola virus. While there Knowledge regarding treatment & nursing care of patients were adequate. Recommendations: Educational programs should be designee  to the nurses to increase knowledge about general information about ebola viruses disease also about etiology, signs and symptom and treatment of ebola. Keywords: Ebola virus disease, Knowledge, Guinea

Cycle Three English Language Teachers’ Perceptions of Their ICT Use in Teaching English Language in the UAE.

This study tried to examine the perceptions of Cycle Three language teachers’ (ELTs) of their Informative and Communicative Technology (ICT) use. It places a specific focus on awareness of the use of technology in Abu Dhabi Education Council schools in the UAE. The study was conducted on randomly selected 73 Cycle Three English language teachers; male and female, native and nonnative of different years of experience in teaching English language. A questionnaire and observations were adapted from the National Educational Technology Standards for Teachers (NETS) and Performance Indicators. Results were analyzed using Statistical Package for the Social Sciences (SSPS), and the constant comparative method of data analysis. The findings suggested that English Language in Cycle Three have low perceptions of their ICT use. Also there was no significant difference in terms of years of experience in teaching English language. However, native English teachers perceive their ICT use slightly superior to their counterpart of nonnative English teachers

Metaheuristic-Based Neural Network Training And Feature Selector For Intrusion Detection

Intrusion Detection (ID) in the context of computer networks is an essential technique in modern defense-in-depth security strategies. As such, Intrusion Detection Systems (IDSs) have received tremendous attention from security researchers and professionals. An important concept in ID is anomaly detection, which amounts to the isolation of normal behavior of network traffic from abnormal (anomaly) events. This isolation is essentially a classification task, which led researchers to attempt the application of well-known classifiers from the area of machine learning to intrusion detection. Neural Networks (NNs) are one of the most popular techniques to perform non-linear classification, and have been extensively used in the literature to perform intrusion detection. However, the training datasets usually compose feature sets of irrelevant or redundant information, which impacts the performance of classification, and traditional learning algorithms such as backpropagation suffer from known issues, including slow convergence and the trap of local minimum. Those problems lend themselves to the realm of optimization. Considering the wide success of swarm intelligence methods in optimization problems, the main objective of this thesis is to contribute to the improvement of intrusion detection technology through the application of swarm-based optimization techniques to the basic problems of selecting optimal packet features, and optimal training of neural networks on classifying those features into normal and attack instances. To realize these objectives, the research in this thesis follows three basic stages, succeeded by extensive evaluations

Fault detection of electric vehicle motor based on flux performance using FEM

This paper presents the early faults detection in electric vehicle motor based on flux performance examination in defective electrical machine using finite element methods (FEM). Depend on time step, the proposed technique has been designed and examine to produce efficient method under high accuracy and short time to detect the faults in Electric Vehicle motors. To decrease the probability and time of electric motor faults, the early detection of these faults will give enough time to prevent many problems during the motion. The different waveforms timing of motor torque in every situation associated with the waveforms of stator current provide spreading in the proposed method. The results show fast fault detections and a Novel technology was established to extort the fault of induction motor

Impact of Consumer Attitude and Online Video Advert Characteristics on Consumer Purchase Decision in Nuremberg Germany

Background: The global increased internet penetration has resulted in a shift in the way people do business. Similarly, marketers and companies have changed from traditional offline advertisements to online advertisement to increase their product reach and tap into new tech-survey customers who spend many hours online. Online Video Advertisement (OVA) is one of the forms of online advertisement that has witnessed tremendous growth over the last decade. With Germany being one of the countries with high internet penetration and high volumes of e-commerce, high internet and social media users, many companies have embraced OVA to reach this population with their brands. However, the consumers' knowledge, attitude, and perceptions of OVA have rarely been explored. It remains largely unknown how the OVA characteristics and consumer attitude on the OVA affect their purchase intention and purchase decision. In this study, we sought to assess the knowledge, attitude, and perceptions on OVA among consumers in Nuremberg, Germany and determine the influence of the OVA characteristics and consumer attitude on their purchase intention and decision. Methods: A cross-sectional study was carried out among conveniently selected Nuremberg adult residents. A semi-structured questionnaire administered online was used for data collection using Google forms. The data was imported into Excel for cleaning before being imported into IBM Statistical Package for Social Sciences (SPSS) version 26.0 for analysis. For descriptive analysis, frequencies and percentages were used for categorical variables, while for the Likert scale data, mean and standard deviation were used. The reliability of the Likert scales was assessed using Cronbach alpha. Pearson's correlation was used to determine the association between the different scales, while Linear and multiple linear regression were used to quantify the association between perceptions on OVA influence of the OVA characteristics and consumer attitude (explanatory variables) and purchase intention and decision (outcome variable). Results: Of the 206 participants, 128 (62.1%) were male. Most (135; 65.5%) had frequently seen OVA, 194 (94.2%), saw it in the last one month, 169 (82.0%) on YouTube, 13 (6.3%) on Facebook, and 7 (3.4%) on Instagram. A total of 195 (94.7%) preferred OVA with the skip option. More than half (104; 50.5%) agreed that OVA reinforce product familiarity. There was a strong significant positive correlation between attitude towards OVA (r=0.622; P-value<0.001) and content and quality of OVA (r=0.602; P-value<0.001) and purchase intention. In the multiple regression analysis, attitude towards OVA, invasiveness of OVA, and OVA quality and content were significantly associated with intention to purchase and purchase decision for the advertised product (P value<0.001). Conclusion: The positive attitude of the consumer on OVA, and its content and quality are key aspects that influence consumers to purchase the advertised product while invasiveness of the OVA seems to put them off. This has implication for marketers as these are key aspects that they need to consider in designing OVA to ensure that they result in improved sales hence value for money invested in OVA advertisements. Keywords: Online Video Advertisement, Consumer decision, consumer purchase, marketing. DOI: 10.7176/JMCR/81-01 Publication date:August 31st 202

Cheating Prevention in E-proctoring Systems Using Secure Exam Browsers: A Case Study

In this research, a case study has been conducted to analyze the possibility of preventing cheating or reducing it by using one of the lockdown browsers during the exam. An e-exam has been created using Moodle platform, and the exam has been conducted with the Safe Exam Browser (SEB) as a restriction program at one time and without it at another time, and an analysis has been made of the extent of the possibility of cheating during the exam for both cases. Wireshark and Registry Changes View programs have been used to observe the possibility of opening programs and applications or the ability of the examinee to use Windows tools during the exam. The use of Wireshark and Registry Changes View software showed high effectiveness in analyzing the examinee's device data and identifying the examinee's activity during the electronic exam, to give a clear perception of the possibility of preventing access to resources and applications on the examinee's device. The researchers concluded that the use of lockdown browsers is very necessary to prevent the examinee from accessing the resources on his device, which leads to a significant reduction in cheating during the electronic exam. The research contributions are two, the first one is the use of analyzing programs to observe the examinee`s activity during the exam, and the second one is presenting the lockdown browsers` features

Deletion of introne-4 of Endothelial nitric oxide synthase gene in Behcet’s disease-Iraq

Behcet’s disease (BD) is multi systemic inflammatory disorder of unknown cause, it characterized by recurrent oral and genital ulcer, skin lesion and uveitis. The etiopathogensis of Behcet’s Disease had long been postulated, possibility that immunological abnormalities induced by microbial pathogens in genetically susceptible individual are important in the pathogenesis. There was no positive association between eye involvement, arteritis and HLA5 tissue typing and positive pethergy test .The HLA5 was positive in 62% of patients with Behcet’s disease in Iraqi patients. Endothelial nitric oxide synthase is synthesized by arginine oxidation, it is one of nitric oxide synthase family, this enzyme has three isoform tow constitutive (neuronal NOS include nNOS and NOS-I)and one inducible NOS (Inos, nos-II), endotheline enzyme responsible of generate small amount of nitrous oxide, The eNOS gene is located on chromosome 7q35-36. 33 Iraqi patients with Behcet’s disease compared with the same number of healthy population and it was conducted in Merjan teaching hospital in Babylon –Iraq in rheumatology unit from same ethnic Arabic group. The genotype study was done for both groups in the biological department of Science Collage in Babylon University during 2013. Genomic DNA was extracted from peripheral blood leukocytes using standard protocols. PCR experiment was performed using Forward primer 5-AGGCCCTATGGTAGTGCCTT-3 and revers primer 5- TCTCTTAGTGCTGTGGTCAC-3 in (clever scientific thermo cycler PCR). The study aims to detection deletion in of introne-4 of Endothelial nitric oxide synthase gene in Behcet’s disease, the total number of patients was 33 patients, 11[33.3 %] were female and 22 [66.6%]were male, the  mean age of the patients was (34.45± 11.51)years. (69.7%) of patients did not had family history of Behcet’s disease, (57.6%) of patients were less than 5 years having the disease.57.6%of patients were got no active disease at time of study and 42.3% got active disease and there was significant association with genital involvement , central nervous system and disease duration with disease activity .  The genetic study revealed that no significant related of deletion of Endothelial nitric oxide synthase gene in Behcet’s disease Iraqi patients. Keywords: Behcet’s disease [BD], Iraq, Endothelial nitric oxide synthase[e NOS], PCR

Experimental implementation of Raman scattering spectroscopy, photoluminescence and some optical properties of silver nanoparticles created by eco-friendly technique

The object of research is studying Raman scattering technique, photoluminescence and some optical properties of silver nanoparticles created by eco-friendly technique which independent on a long time, effort, energy and high temperatures, and with the highest adsorption capacity in order to achieve a high inhibition to paralyze the activity of the bacterial wall, by achieving the highest surface plasmon resonance (SRR). Silver nanoparticles were prepared using Matricaria Flower extract. Characterization of silver nanoparticles and detection of their effectiveness against microbial using two types of bacteria (Escherichia Coli and Staphylococcus aureus ), these nanoparticles were measured using a number of measurements, X-ray diffraction measurement, Energy Dispersion (EDX), (FESEM), U–V Spectroscopy, Fourier Transform Infrared (FTIR), Photoluminescence (PL) properties of silver nanoparticle at room temperature and Raman scattering spectroscopy were investigated. The Scherrer’s equation was used to calculate the crystallite size of Silver nanoparticles, the average crystallite size is 48.64 nm. The PL spectra of silver nanoparticles exhibit two emission bands: one is in the UV region 350 nm and the other is in the visible region 650 nm. This is roughly identical to the absorption spectrum results. The antimicrobial activity was tested against gram negative bacteria (Escherichia coli) and gram positive bacteria (Staphylococcus aureus). Prepared Ag NPs exhibited inhibitory activity in both types of bacteria strains at best selectivity against gram-negative bacteria. An eco-friendly technique is used for synthesizing technique to produce silver nanoparticles with the expected best application properties. These research results suitable to be use the Silver nanoparticles in sensors and many electronic, electrical, medical and biological application