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This article is a demonstrative study about the problem and size of addiction in western area especially Taif city in Saudi Arabia through applying of international questionnaires guidelines. These questionnaires were used to assess tobacco, alcohol, and narcotics addiction. They were performed on secondary school male students in Taif ,Saudi Arabia, in addition to Roshd and Kafa and population as well. The total sample size for the present study is equal to 2514
The major purpose of this study is to find out the extent to which previous knowledge of Book-keeping will predict students’ academic performance in Principles of Accounts 1 (BED 111) at the NCE 100 level in College of Education, Ikere Ekiti, Ekiti State, Nigeria. The study employed an ex-post facto research design with a sample of 371 selected from a population of 708. Three research hypotheses were tested at 0.05 level of significant using T-test, Standard deviation, Multiple regression and Analysis of variance. A finding from the study reveals that previous knowledge of Book-keeping significantly contributes to the prediction of academic performance of students in Principles of Accounts 1 (BED 111) among others. It was concluded that the influence of previous knowledge in teaching/learning process provides the background to framework upon which new learning will be placed. It is recommended that Joint Admission Matriculation Board (JAMB) should properly streamline
It is an undisputable fact that no education style can rise above the quality of its teachers. Teacher education advancement will determine the position of the country in the comity of nations. Hence, the nation’s development can only be enhanced by the quality of education given to her citizens. This paper therefore, discusses the meaning of teacher education, historical development of teacher education in Nigeria, present position of teacher education, relevance of teacher education, aims of teacher education, problems militating against teacher education in the country and various strategies taken by the government to promote the growth and development of teacher education in Nigeria examined
The Students’ Variables as Predictor of Secondary School Students’ Performance in Physics in Ekiti West Local Government Area of Ekiti State, Nigeria was investigated in this study. The study adopted a survey research design of the ex-post facto type. The sample comprised 120 senior secondary school II Physics students drawn from the six secondary schools in Ekiti West Local Government Area of Ekiti state. The instruments used for the study was questionnaire and past academic performance in Physics of the students involved in the study. Two research hypotheses were generated and analysed in the study using Pearson’s Moment Correlation and Multiple regression statistical analysis. Among others, the study revealed that: students‘ variables (study habit, attitude to and interest of students in Physics) are better predictors of students’ performance in Physics, while student gender has no influence on students academic performance (is a poor predictor).
In Communication system, the system capacity and performance are adversely affected and degraded by interference. Hence, power control plays a prominent role in an interference-limited system, which increases the efficiency by mitigating the adjacent and co-Channel interference in the system. In this paper, primarily power control is said to be used in maintaining the acceptable Carrier to Interference Ratio (CIR) by meeting some Quality of service (QoS) requirements Objective function that is defined as maximum channel capacity in a power constraint scenario. The signals in a radio channel undergo different propagation effects like reflection, refraction, scattering and shadowing. Hence, the distribution of users across subcarrier groups as well as their transmission powers within a given cell has a significant effect on how users and power are accordingly distributed elsewhere in the network to maximize the capacity of the system thereby enhancing its performance
Well-organized big data get together in the densely distributed sensor networks is, therefore, a challenging research area. One of the most effective solutions to address this challenge is to utilize the sink node’s mobility to facilitate the data gathering. While this technique can reduce energy consumption of the sensor nodes, the use of mobile sink presents additional Challenges such as determining the sink node’s trajectory and cluster formation prior to data collection. In this paper, we propose a new mobile sink routing and data gathering method through network clustering based on modified ExpectationMaximization (EM) technique. In addition, we derive an optimal number of clusters to minimize the energy consumption. The effectiveness of our proposal is verified through numerical results.
Rail inspection is an important task in railway maintenance. The speed and loads of trains have been increasing greatly in recent years, and these factors inevitably raise the risk of producing rail defects. Mainly the discrete surface defects impact the riding quality and safety of a railway system. However, it is a challenge to inspect such defects in a vision system because of illumination inequality and the variation of reflection property of rail surfaces. This project presents a realtime VIS for discrete surface defects of rail heads. VIS comprises the Image Acquisition Subsystem (IAS) and the image analysis subsystem. IAS acquires gray rail images for the surface of a rail head, and the latter processes rail images and detects possible defects. This paper propose the Local Normalization(LN) method to enhance the distinction between defects and background in a rail image, considering illumination inequality and the variation of reflection property of rail surfaces
- One of the most important and promising branches of Artificial Intelligence (AI) is Machine Learning (ML),which strive to make a machine intelligent by “learning” from the data. Information Retrieval is also a popular and predominant technique having as one of its application, the ubiquitous Search Engine. Search Engine optimization (SEO) has seen remarkable advancements during the recent years. The objective of this paper is to optimize the existing predictive search mechanism by incorporating pattern based Machine Learning techniques, the association with a Semantic Database, Natural Language Processing of search query to produce more relevant predictions to the user. The main intention is to provide diversified but apt, intelligent predictions for both the diversified set of users whose domain of search queries is not constrained, as well as for the dedicated researchers whose domain will be confined, coupled with an optimal balance between the Response times, Relev
This paper presents an improved design of voltage controlled oscillator (VCO) utilizing the three differential cell CMOS inverters for forming the ring oscillator. The differential cell reduces the power supply fluctuations impact on the oscillator jitter while the negative feedback from frequency to voltage converter reduces the jitter at high frequencies. Finally the proposed model is designed using CMOS 0.18um foundry technology and simulated using P-Spice software. The result shows that the proposed design improves the jitter attenuation at different offset frequencies up to 40dB
- In this paper, we will enlist the process of extracting template from heterogeneous Web Pages. Extracting structured information from semi-structured machine readable web pages automatically plays a major role these days, so some websites are using common templates with contents to populate the data for good productivity, Where WWW is the major resource for extracting the information. The problem here is for machines, the templates in the web pages are considered to be harmful since they degrade the performance of web applications due to irrelevant terms in the Template. As a result, the performance of the entire system degrades. Template Detection technique can be used to improve the performance of search engine as well as for classification of web documents. In this paper, we present algorithms to extract templates from a very large number of web pages that are getting generated from heterogeneous templates. Using the similarity of template structures in the documen