Two efficient area reduction methods for implementations of the rijndael advanced encryption standard

2005 ◽  
Author(s):  
Shen-Fu Hsiao ◽  
Ming-Chih Chen
Keyword(s):  
Advanced Encryption Standard ◽  
Area Reduction ◽  
Reduction Methods

scholarly journals CATCHMENT AREA EROSION STUDY IN ESTIMATION OF RESERVOIR CAPACITY AT THE END OF LIFE EXPECTANCY (CASE STUDY : GONDANG RESERVOIR, KARANGANYAR)

2020 ◽  
Vol 11 (1) ◽  
pp. 15-24
Author(s):  
Dhanang Samatha Putra
Keyword(s):  
Life Expectancy ◽  
Distribution Pattern ◽  
Central Java ◽  
Sediment Volume ◽  
Area Reduction ◽  
Dam Management ◽  
Reduction Methods ◽  
Dead Storage ◽  
Effective Life

Gondang Reservoir is one of The National Strategic Projects. Located in Karanganyar Regency, Central Java Province, Gondang Reservoir has 2.08 Mm3 flood storage, 5.03 Mm3 effective storage, 2.03 Mm3 dead storage and 30 years lifetime. In the dam management, one of the problems that often occurs is sedimentation. To overcome this problem, we need to know the sedimentation rate and distribution pattern of Gondang Reservoir for optimalizing the reservoir management. To predict the distribution pattern of the reservoir we use Empirical Area Reduction Methods. The findings of the study show that the sediment volume of the reservoir throughout its effective life is 2,79 Mm3, the new zero elevation is +496 m, there is no remaining dead storage and the remaining effective storage is 2.2 Mm3. This indicates that theoretically the reservoir will work well up to its life expectancy. Dam sedimentation management with structural or non structural must be planned especially at effective storage. Dam sedimentation management at effective storage is very important in order to maintain Gondang Reservoir benefits.

Speech Emotion Recognition Based on Sparse Representation

2013 ◽  
Vol 38 (4) ◽  
pp. 465-470 ◽  
Author(s):  
Jingjie Yan ◽  
Xiaolan Wang ◽  
Weiyi Gu ◽  
LiLi Ma
Keyword(s):  
Dimensionality Reduction ◽  
Emotion Recognition ◽  
Least Squares ◽  
Partial Least Squares ◽  
Partial Least Squares Regression ◽  
Speech Emotion Recognition ◽  
Least Squares Regression ◽  
Computer Science Pedagogy ◽  
Reduction Methods ◽  
Analysis Computer

Abstract Speech emotion recognition is deemed to be a meaningful and intractable issue among a number of do- mains comprising sentiment analysis, computer science, pedagogy, and so on. In this study, we investigate speech emotion recognition based on sparse partial least squares regression (SPLSR) approach in depth. We make use of the sparse partial least squares regression method to implement the feature selection and dimensionality reduction on the whole acquired speech emotion features. By the means of exploiting the SPLSR method, the component parts of those redundant and meaningless speech emotion features are lessened to zero while those serviceable and informative speech emotion features are maintained and selected to the following classification step. A number of tests on Berlin database reveal that the recogni- tion rate of the SPLSR method can reach up to 79.23% and is superior to other compared dimensionality reduction methods.

Implementasi Enkripsi dan Otentikasi Transmisi Data ZeroMQ Menggunakan Advanced Encryption Standard

2020 ◽  
Vol 4 (6) ◽  
Author(s):  
I Made Sukarsa ◽  
I Made Rama Pradana ◽  
Putu Wira Buana
Keyword(s):  
Direct Observation ◽  
Advanced Encryption Standard ◽  
Message Delivery ◽  
Normal Delivery ◽  
Delivery Performance ◽  
Data Message ◽  
Encryption And Authentication ◽  
Block Chaining

Communication via sockets is used to transmit information between applications or between processes over network or locally. ZeroMQ is a library for sending messages using sockets that are quite well known. Talking about sending data, message security is an important part that needs to be taken into account, especially when sending data over a network. ZeroMQ sends messages openly without securing the messages sent. This is evidenced by research which states that ZeroMQ does not have a security layer for sending messages over the network and direct observation of message packets using the wireshark application. Therefore, this study creates a method of securing and authenticating message delivery using AES (Advanced Encryption Standard) CBC (Cipher Block Chaining) mode combined with an authentication method. The AES CBC mode was chosen because it is faster than other methods and has strong encryption. This encryption and authentication are used so that the sender and recipient of the message are both valid senders and recipients so that no message changes during message delivery and messages can only be opened by the message recipient and the sender of the message. Tests are conducted to measure the effect of encryption and authentication on message delivery performance. Based on the tests conducted, there is an increase of 7% from normal delivery speed and the potential for messages is not up to 0.3% - 1.5%.

THE NEW ALGORITHM OF SOLVING HARMONIC BALANCE EQUATIONS

2019 ◽  
Author(s):  
Vladimir Lantsov ◽  
A. Papulina
Keyword(s):  
Harmonic Balance ◽  
Model Order Reduction ◽  
Order Reduction ◽  
Balance Equations ◽  
Model Order ◽  
Cad Systems ◽  
Computational Costs ◽  
Reduction Methods ◽  
Model Equations

The new algorithm of solving harmonic balance equations which used in electronic CAD systems is presented. The new algorithm is based on implementation to harmonic balance equations the ideas of model order reduction methods. This algorithm allows significantly reduce the size of memory for storing of model equations and reduce of computational costs.

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