International Journal of Scientific Research in Science, Engineering and Technology

BIT ERROR DETECTION AND CORRECTION WITH HAMMING CODE ALGORITHM

10.31227/osf.io/j3w5z ◽

2017 ◽

Author(s):

Robbi Rahim

Keyword(s):

Error Detection ◽

Scientific Research ◽

Hamming Code ◽

Error Detection And Correction ◽

Engineering And Technology ◽

Code Algorithm

This paper has been published in International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET) Volume 3 Issue 1 year of 2017

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Sustainable development and the role of African scientific research centres

African Journal of Engineering & Technology ◽

10.47959/ajet.2021.1.1.1 ◽

2021 ◽

Vol 1 (1) ◽

Author(s):

Anour Dafaalla ◽

Mohammed Khalil Saeed ◽

Suad Badri ◽

Mohamed Alhaj

Keyword(s):

Sustainable Development ◽

Open Access ◽

Scientific Research ◽

Energy Access ◽

High Quality Research ◽

Engineering Technology ◽

Engineering And Technology ◽

Research Centres ◽

African Journal

Scientific research in the engineering and technology domains plays a centric role in realizing sustainable development in Africa. In particular, a multidisciplinary research (and sometimes even cross-disciplinary) approach is required when tackling Africas complex challenges such as poverty, climate change, energy access, water resources management, energy-water-food nexus, sustainable urban environment, cybersecurity, and others. To advance this research, African researchers should be empowered to conduct high-quality research and communicate their findings and recommendations to all stakeholders in open-access platforms. Building on the above, the Sudanese Researchers Foundation (SRF) is proud to announce the launch of the African Journal of Engineering & Technology (AJET); our inaugural open-access peer-reviewed journal focusing on engineering, technology, and sustainable development.

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Statistical analysis of classification

Symposium - International Astronomical Union ◽

10.1017/s0074180900053420 ◽

1966 ◽

Vol 24 ◽

pp. 188-189

Author(s):

T. J. Deeming

Keyword(s):

Multivariate Analysis ◽

Statistical Analysis ◽

Classification Scheme ◽

Analytical Procedure ◽

Narrow Band ◽

Scientific Research ◽

Maximum Amount ◽

Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

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Building a Successful Career in Scientific Research

10.1017/cbo9781139165471 ◽

2006 ◽

Cited By ~ 2

Author(s):

Phil Dee

Keyword(s):

Scientific Research ◽

Successful Career

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Social-Scientific Research Competency

European Journal of Psychological Assessment ◽

10.1027/1015-5759/a000451 ◽

2019 ◽

Vol 35 (5) ◽

pp. 737-750 ◽

Cited By ~ 3

Author(s):

Christopher Gess ◽

Christoph Geiger ◽

Matthias Ziegler

Keyword(s):

Higher Education ◽

Test Scores ◽

Research Performance ◽

Scientific Research ◽

Research Education ◽

Crystallized Intelligence ◽

Research Competency ◽

Social Scientific Research ◽

Social Scientific ◽

Education Courses

Abstract. Although the development of research competency is an important goal of higher education in social sciences, instruments to measure this outcome often depend on the students’ self-ratings. To provide empirical evidence for the utility of a newly developed instrument for the objective measurement of social-scientific research competency, two validation studies across two independent samples were conducted. Study 1 ( n = 675) provided evidence for unidimensionality, expected differences in test scores between differently advanced groups of students as well as incremental validities over and above self-perceived research self-efficacy. In Study 2 ( n = 82) it was demonstrated that the competency measured indeed is social-scientific and relations to facets of fluid and crystallized intelligence were analyzed. Overall, the results indicate that the test scores reflected a trainable, social-scientific, knowledge-related construct relevant to research performance. These are promising results for the application of the instrument in the evaluation of research education courses in higher education.

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