Találati lista | Tudóstér

001-es BibID:	BIBFORM075640
Első szerző:	Dubey, Shubham (informatikus)
Cím:	Solution of differential equations by parallel processing and analysis of performance improvement / S. Dubey, S. Prajapat, R. Verma, R. Jhaggar
Dátum:	2017
ISSN:	2320-7639
Megjegyzések:	When solving the problems based on more than two variables most of the time relative changes on the variables need to be calculated. The degree of dependency among variables and number of variable quantities make solution finding more complex. It is very obvious to get the help of differential equations. When we deal with the functions frequently changing by nature, so it is highly likely to find local maxima, local minima, slope of tangent and value of the function at given point. Finding solution is not a single process but a set of processes where some binary operations, repetitions of the operations, checking the consistency of function within the interval etc take place. Here it becomes very important that the time taken to execute the problem of differential equation must be least. Thus the needs of pipelining, parallel processing, speculative computation etc become crucial factor. So requirement of solution of differential equations become very necessary. The degree of equation, complexity of equation, no of variables etc are the parameters those play very important roles during the solution process. When this task is assigned to serial processors the time taken to solve a problem is greater than the time taken by the parallel processors to do the same task. Here in this research we are calculating the time taken by serial processors and by parallel processors too. Although entry of vector processors and array processors improved the performance very much but since performance is the subject to frequently improvement. So putting that context in mind our study has tried to minimize the time taken for solving the differential equation by dividing a big problem in small ones in such a way so that dependency for data among processors i.e. communication will be very less. Means research has tried to improve the ratio of computation over communication ratio.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban differential equation parallel processing SIMD Euler's method execution time
Megjelenés:	International Journal of Scientific Research in Computer Science and Engineering. - 5 : 5 (2017), p. 57-62. -
További szerzők:	Prajapat, Shaligram Verma, R. Jhaggar, R.
Internet cím:	Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon:

001-es BibID:	BIBFORM075636
Első szerző:	Dubey, Shubham (informatikus)
Cím:	Encryption and decryption of data by genetic algorithm / S. Dubey, R. Jhaggar, R. Verma, D. Gaur
Dátum:	2017
ISSN:	2320-7639
Megjegyzések:	This is the age of science where we deal with a huge set of data daily. Every day user shares huge amount of personal data in social sites, messaging applications, commercial sites and in other service based platforms. To accomplish transactions we need to share our credit/debit card number with passwords too, which makes the transaction very much sensitive. Randomness in the data is called Entropy. The entropy of data is directly proportional to the security of corresponding data. Security is the most favorable and mandatory feature of data transfer and storage based services. Since the quantity of data travel through the networks growing rapidly with respect to time thus enhancement in security is highly needed. According to the described variation of genetic algorithm users will have to give message as well as key also the help of these data sets, algorithm will give ciphertext and hence encryption has been achieved. At receiver's end decryption of data takes place. The key by which encryption has been done in this algorithm is combination of two matrix of equal length. It will increase the security because of dependency on both the matrix.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban cryptography genetic algorithm encryption decryption key cipher text
Megjelenés:	International Journal of Scientific Research in Computer Science and Engineering. - 5 : 3 (2017), p. 47-52. -
További szerzők:	Jhaggar, R. Verma, R. Gaur, D.
Internet cím:	Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Saját polcon: