Search Results - (( developing generic functional algorithm ) OR ( java implementation level algorithm ))
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AUTOMATED MODEL GENERATION OF FSM AND NUSMV MODEL FROM RSA JAVA SOURCE CODE FOR MODEL CHECKING
Published 2021“…The encryption algorithms are playing an important part in the protection level for data. …”
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Statistical analysis, ciphertext only attack, improvement of generic quasigroup string transformation and dynamic string transformation
Published 2018“…Algebraic functions are the primitives that strengthen the cryptographic algorithms to ensure confidentiality of data and information. …”
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Implementation of (AES) Advanced Encryption Standard algorithm in communication application
Published 2014“…Internet communication has become more common in this modern world recently, and one of the important algorithms used is ABS algorithm. However, most of the users have inadequate knowledge and understanding regard to this algorithm implementation in the communication field, as well as the level of security and accuracy will be questioned by the users because of the necessary to maintain the confidentiality of particular data transferred. …”
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Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter
Published 2019“…It does not consider the LACE algorithm implemented in huge number of server in one Cloud datacenter. …”
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A Model for Evaluation of Cryptography Algorithm on UUM Portal
Published 2004“…Level one is the development of userID and password, level two involve the insertion of the testing parameter speed coding. …”
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Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…Performance Testing is used to test the performance of algorithm implementations in applications. The test results show that the Boyer Moore and Knuth Morris Pratt algorithms have an accuracy rate of 100%, and the Horspool algorithm 85.3%. …”
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An improved RSA cryptosystem based on thread and CRT / Saheed Yakub Kayode and Gbolagade Kazeem Alagbe
Published 2017“…We use a parallel technique that divides RSA power process into seperate threads and employs the use of Chinese Remainder Theorem (CRT) to decrease the time required for both encryption and decryption operation. Java programming language is used to implement the algorithm. …”
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Design and Implementation of Data-at-Rest Encryption for Hadoop
Published 2017“…Therefore, the AES encryption algorithm has been implemented in HDFS to ensure the security of data stored in HDFS. …”
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Design and Implementation of Data-at-Rest Encryption for Hadoop
Published 2017“…Therefore, the AES encryption algorithm has been implemented in HDFS to ensure the security of data stored in HDFS. …”
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10
On quaternion analyticity : enabling quaternion-valued nonlinear adaptive filtering.
Published 2012“…The introduced class of algorithms make full use of quaternion algebra and provide generic extensions of the corresponding real and complex solutions. …”
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SEQUENTIAL MODELLING & OPTIMIZATION OF AMMONIA REACTOR
Published 2005“…This paper highlights the development of profiles at different top temperatures from 600K to 800K and comparison of the sequential optimization approach with others researchers’ approach such as Potrygin maximum principle, Lasdon’s generalized reduced gradient method, generic algorithm and differential. …”
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Development of a building energy analysis package (BEAP) and its application to the analysis of cool thermal energy storage systems
Published 2001“…Algorithms are developed for simulation of six generic cool thermal energy storage (CTES) systems. …”
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Secure E-Voting With Blind Signature
Published 2003“…In this system, voter’s privacy is guaranteed by using a blind signature for confidentiality and voter’s digital signature for voter’s authentication. E-Voting is implemented by employing Java socket technology and BouncyCastle cryptography provider. …”
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Generalized Fuzzy Linguistic Bicubic B-Spline Surface Model for Uncertain Fuzzy Linguistic Data
Published 2022“…A fuzzy linguistic data set that is uncertain is difficult to analyze and describe in the form of a smooth and continuous generic figure. Therefore, the study aims to develop a new model of a B-spline surface using a different approach of a crisp and fuzzy linguistic point relation with three types of linguistic function: low L, medium Mi and high H. …”
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A multi-criteria proximal bundle-based optimization approach to chick-mash feed formulation
Published 2016“…This study is aimed at developing a generic decision supporting system for optimizing the poultry feed production through the application of multi-objective proximal bundle approach, taking into consideration the energy optimization, limiting the amino acid variation and providing a least cost of production. …”
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Product Recommendation System (Targeted Recommendation using Deep Learning in Computer Vision)
Published 2023“…Traditional product displays in shopping malls often fail to effectively engage customers due to their generic nature. This report presents a project on developing a product recommendation system that utilizes facial recognition technology to predict a user's age and gender. …”
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Network monopoly / Tan Kean Yeap
Published 2002“…The main aspect of this thesis is to produce a network monopoly system, which process multiple game sessions concurrently, enabling users to play the graphical game with people within the network. The algorithm design and implementation method mustnot only be workable, but also highly efficient in terms of execution speed and respond time. …”
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An automated pipeline for constructing 3D models of monogenean hardparts using machine learning technique for landmarks detection / Teo Bee Guan
Published 2019“…The ANN was trained by 5000 synthetic 2D illustrations of monogenean anchors using a data augmentation algorithm. Besides, a NoSQL-based database, MongoDB was developed to store all the synthetic 2D illustrations. …”
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Auxiliary-based extension of multi-tasking sequence-to-sequence model for chatbot answers
Published 2021“…“SEQ2SEQ++” is a Seq2Seq MTL learning method which comprises of four (4) components (“Multi-Functional Encoder” (MFE), “Answer Decoder”, “Answer Encoder”, “Ternary-Classifier” (TC)) and is trained using “Dynamic Weights” algorithm and “Comprehensive Attention Mechanism” (CAM). …”
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