Refine your search
Collections
Co-Authors
Journals
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Sandhya, G.
- Testing the Pattern Generation of Minimal Test Vectors for the Video Display
Abstract Views :148 |
PDF Views:2
Authors
Affiliations
1 Department of ECE, KL University, Guntur, A.P., IN
2 KL University, IN
1 Department of ECE, KL University, Guntur, A.P., IN
2 KL University, IN
Source
Programmable Device Circuits and Systems, Vol 4, No 1 (2012), Pagination: 26-30Abstract
Testing is an experiment in which a system is exercised and the resultant behavior is examined to make sure that the system behaves correctly. System Test tests consist of elements, test vectors, and test variables. Each of these entities to create a variety of test scenarios ranging from a simple test, which runs a series of elements once to a full parameter sweep that iterates over the values of test vectors. Test vectors and test variables map data between System Test and the model or unit under test. A Composite Video Pattern Generator is constructed, which can be used as a teaching tool in the video field as well as a laboratory instrument, useful for repairing and adjusting pattern generation of video display. This work is implemented for pattern Generator video display which is having Counters and the video pixels generated in horizontal and vertical directions. The simulation is carried out to find out the minimum set of good test vectors for the four patterns.Keywords
Composite Video Signal, RGB Model, Test Vectors, Test Vector Generation.- An Efficient Implementation of 128 Bit Carry Save Adder
Abstract Views :156 |
PDF Views:2
Authors
Affiliations
1 SNS College of Technology, IN
1 SNS College of Technology, IN
Source
Digital Signal Processing, Vol 7, No 3 (2015), Pagination: 92-94Abstract
This paper present a technology independent design and simulation of a modified architecture of the carry save order it require a minimum of logic gates binary addition is carried out by series of XOR, AND and shift left operations. These operations are terminated with a computer signal indicating that the result of addition is obtained. because the number of shift operation carried out and varies from 0 to n for n bit addends the method was developed in all the possible addends of 2 to 15 bits the mathematical model was detected and used to predict the number of shifts required for binary numbers such as 32.68 or 128 bits it is used in both synchronous and asynchronous modes of operation.- Impact of Smart Class Room Learning Environment on Academic Achivement of the Students
Abstract Views :127 |
PDF Views:0
Authors
Affiliations
1 Indira Gandhi National Tribal University, Amarkanatak, MP, IN
2 Department of Education, Indira Gandhi National Tribal University, Amarkanatak, MP, IN
3 M.Ed.MM College of Education, MM University, Mullana, Ambala, Haryana, IN
1 Indira Gandhi National Tribal University, Amarkanatak, MP, IN
2 Department of Education, Indira Gandhi National Tribal University, Amarkanatak, MP, IN
3 M.Ed.MM College of Education, MM University, Mullana, Ambala, Haryana, IN
Source
Indian Journal of Society and Politics, Vol 5, No 1 (2018), Pagination: 119-122Abstract
Before 21st century, in India the education was provided by traditional methods. The traditional method includes long-hour sitting of students to teacher monologues. More emphasis was given on theory and less importance was given to practical based education. But in 21st century, the use of science and technology has been increased. In the present scenario the expectations of the stockholders are also increased about schools. Interactive classroom are the demand of the society by which their kids can gain knowledge in short time and in interesting way also. The main objective of the study to explores the impact of smart classroom environment on academic achievement of the students. The sample consists of 60 Secondary school students especially of IX class only of Jind district of Haryana. Randomized Groups Pre-test- Post- Test Design was used by the investigators. Data were analysed with the help of Mean, S.D. and t-test. The result shows that the smart class room environment enhance the level of academic achievement of students.Keywords
Smart Class, Academic Achievement, Traditional Class.References
- Acquaye, H.A.B. (2001). Each is Necessary and none is Redundant: The Need for Science Education in Developing Countries, Science Education, Vol. 85(1), pp. 68-70.
- Bano, N. (2016). Impact of Smart Classroom Learning Environment on the Performance of first grade Students in English. FUNOON- An International Journal of Multidisplinary Research, 2(1), pp. 121128.
- Benavot, A. (1992). Curricular Content, Educational Expansion and Economic Growth, Comparative Education Review, 36(2), pp. 150-174.
- Chachra, I.K. (2015). Effect of Smart Classroom Assisted Teaching on Academic Achievement of Students of Different Intelligence Level in Social Science, Abhinav National Monthly Referred Journal of Research in Arts & Education, Vol.4, Issue 6, pp. 410.
- Sharma, H.L. &Anju (2016). Effectiveness of EDUCOMP Smart Classroom Teaching on Achievement in Mathematics at Elementary Level, International Journal of Applied Research 2016; 2(6): 683-687.
- Singh, K. & Gupta, M. (2017). Effect of Smart Classroom Teaching On Achievement of Students: A Closer Focus on Gender and Intelligence, Imperial Journal of Interdisciplinary Research (IJIR),Vol-3, Issue-1, pp. 1077-1086.
- Walberg, H.J. (1991). Improving School Science in Advanced and Developing Countries, Review of Educational Research, Vol. 61(1), pp. 25-69.