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literature review on student information system

Crafting a Snapshot Image to Promote Community Activism

Continuing the theme of applying strategic imagery to promote community activism, I recount my own experience conjuring a picture to concentrate focus on a deserving cause. Public forums often impose strict time limits on speakers. Such constraints demand that speakers resourcefully manage time, as in the case of a public hearing with an open microphone format that limits speakers to two-minute statements. For More Information on The Magic Museum Book, visit – http://www.isaacsonseries.com/

Laboratory Safety Awareness Presentation

The Laboratory safety presentation is designed to help laboratory in increasing safety awareness as well as safety requirements. Implementation of proper Laboratory Management System improves quality observed in daily laboratory practices.

Students’ Variables as Predictor of Secondary School  Students’ Performance in Physics

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).

Evaluating the Enhancing Capacity of Multiple Carrier  Code Division Multiple Access (Mc-Cdma) Syste

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

A Real-Time VIS for Rail Flaw Detection

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

IAssociation Rule Mining: A Technique for Revolution in  Requirement Analysis

Data mining is the process of extracting interesting, useful and previously unknown information or patterns from large information repositories such as: relational database, data warehouses, XML repository, etc. There are various types of data mining techniques such as association rules, classifications and clustering. Association rule mining is one of the most important and well researched techniques of data mining. Among sets of items in the transaction databases or other data repositories, it seeks interesting correlations, frequent patterns, associations or casual structures. Association Rule Mining is a very potential technique which has the aim to find interesting and useful patterns from the transactional database. It is mainly used in market basket analysis that help to identify patterns of all those items that are purchased together. To denote association with itemsets and their quantities, the Quantitative association mining is used.

Salvaging New Lives: Low Birth Weight and NICU  Protocol

Background : A low birth weight baby is a clinical and diagnostic challenge. The neonatologists are faced with numerous neonatal intensive care unit protocols. This study was designed to review the policies of management of neonatal jaundice, sepsis, anemia, hypoglycemia, jaundice and hypoxic encephalopathy in a low birth weight newborn. Methods: Care of newborns in was done in intensive care unit after numerous research papers on low birth weight management were referred.

Modern Construction and Rehabilitation Techniques

The pre-engineered steel building system construction has great advantages to the single storey buildings, practical and efficient alternative to conventional buildings, the System representing one central model within multiple disciplines. Preengineered building creates and maintains in real time multidimensional, data rich views through a project support is currently being implemented by Staad pro software packages for design and engineering.

Material Selection for Computer Aided Design Software  for Crankshaft Design

A crankshaft contains two or more centrally-located coaxial cylindrical ("main") journals and one or more offset cylindrical crankpin ("rod") journals. The design of the Crankshaft considers the dynamic loading and the optimization an lead to a shaft diameter satisfying the requirements of Automobile’s specifications with cost and size effectiveness. Microsoft visual studio package was used in the development of this software, which is capable of designing the shaft with reference to its easy interface, being an open system and its ease of file formats acceptability. It was used during the entire cycle of this software development (analysis phase, design phase and implementation phase).

Optimizing the relevancy of Predictions using Machine  Learning and NLP of Search Query

- 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

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