Search Results - ((detection algorithm) OR (((replication algorithm) OR (generation algorithm))))

A novel deadlock detection algorithm for neighbour replication on grid environment by Noriyani, Mohd Zin

“…Therefore, an action must be taken to detect and solve this problem. A new framework and algorithm called Neighbour Replication on Grid Deadlock Detection (NRGDD) has been developed to handle deadlock cycles that exist during the transaction in Neighbour Replication on Grid (NRG) environment. …”
Get full text
Get full text

Face Detection System / Chan Beh Teng by Chan, Beh Teng

“…To a layman, it may appear trivial, but to actually implement the necessary steps leading to successful execution of this in n algorithm is difficult and still an unsolved problem in computer vision.The proposed Face Detection System is an application that automates the detection of frontal human faces(s) in a given image. …”
Get full text
Get full text

A sequential handwriting recognition model based on a dynamically configurable convolution recurrent neural network and hybrid salp swarm algorithm by Ahmed Ali Mohammed, Al-saffar

“…The built DCCRNN is based on the Salp Swarm optimization Algorithm (SSA), a processor that given a particular dataset will find the best CRNN’s structure and hyperparameters. …”
Get full text
Get full text

Hybrid anti-islanding algorithm for utility interconnection of distributed generation by Abdolrasol, M.G.M., Mekhilef, Saad

“…Active detection algorithm generates disturbances at the output by Positive feedback and Continuous feedback signal injection which is based on DQ implementation. …”
Get full text
Get full text
Get full text

Design of smart waste bin and prediction algorithm for waste management in household area by Yusoff, Siti Hajar, Abdullah Din, Ummi Nur Kamilah, Mansor, Hasmah, Midi, Nur Shahida, Zaini, Syasya Azra

“…This project has proposed Artificial Neural Network (ANN) based prediction algorithm that can forecast Solid Waste Generation (SWG) based on household size factor. …”
Get full text
Get full text
Get full text
Get full text

Online Dynamic Replication and Placement Algorithms for Cost Optimization of Online Social Networks in Two-tier Multi-cloud by Ali Y. Aldailamy, Abdullah Muhammed, Rohaya Latip, Nor Asilah Wati Abdul Hamid, Waidah Ismail

Subjects: “…Access latency Cost optimization Data placement Data replication Online algorithm Online social network…”

Online dynamic replication and placement algorithms for cost optimization of online social networks in two-tier multi-cloud by Aldailamy, Ali Y., Muhammed, Abdullah, Latip, Rohaya, Hamid, Nor Asilah Wati Abdul, Ismail, Waidah

“…A simulation using a synthesized workload generated based on a real Facebook statistic dataset shows that the proposed algorithms produce a monetary cost savings of more than 23 compared to the Static Replication and Local Placement (SRLP) algorithm.…”
Get full text
Get full text
Get full text

An adaptive data replication and placement for efficient data storage of online social networks using two-tier multi-cloud environment by Al-Dailamy, Ali Y., Muhammed, Abdullah, Latip, Rohaya, Abdul Hamid, Nor Asila Wati, Esmail, Waidah

“…The first algorithm is Dynamic Fixed Time (DFT) which uses fixed time periods for the adaptation of replication and placement. …”
Get full text
Get full text

A detector generating algorithm for intrusion detection inspired by artificial immune system by Alsharafi, Walid Mohamed, Omar, Mohd Nizam

“…One of the most operational improvements in the standard of NSA is how to generate effective detectors which play a significant role in self and non-self discrimination in intrusion detection system (IDS).In this paper, we offer an improvement to a detector generating algorithm to generate effective detectors which leads to improve the standard of NSA, which in turn leads to improve the NSA based anomaly intrusion detection.Experimental results show that the improved algorithm able to generate more effective detectors and keeping the space and time complexities better than in the standard of NSA. …”
Get full text
Get full text
Get full text

Development of automated neighborhood pattern sensitive faults syndrome generator for static random access memory by Rusli, Julie Roslita

“…The algorithms used in this generator are based on March algorithm. …”
Get full text
Get full text

Generation of new low-complexity March algorithms for optimum faults detection in SRAM by Jidin, Aiman Zakwan, Hussin, Razaidi, Lee, Weng Fook, Mispan, Mohd Syafiq, Zakaria, Nor Azura, Loh, Wan Ying, Zamin, Norshuhani

“…A high-complexity test algorithm like the March MSS (18N) can guarantee the detection of all unlinked static faults in SRAM. …”
Get full text
Get full text
Get full text

An enhancement of classification technique based on rough set theory for intrusion detection system application by Noor Suhana, Sulaiman

“…Thus, to deal with huge dataset, data mining technique can be improved by introducing discretization algorithm to increase classification performance. The generation of rule is considered a crucial process in data mining and the generated rules are in a huge number. …”
Get full text
Get full text

Modified Miller-Rabin primality test algorithm to detect prime numbers for generating RSA keys by Shereek, Balkees Mohamed

“…The prime numbers with the size of 256, 512, and 1024 bits are generated using the proposed modified algorithm. The performance of the proposed modified Miller-Rabin was analysed in terms of the time taken to detect the prime numbers and compare the time taken for generating the prime numbers using original Miller-Rabin method. …”
Get full text
Get full text
Get full text

A comparative analysis of image copy-move forgery detection algorithms based on hand and machine-crafted features by Ahmed I.T., Hammad B.T., Jamil N.

“…IC-MFDs based hand-crafted features and IC-MFDs based machine-crafted features. IC-MFD algorithms based hand-crafted features are the algorithms that detect the faked image depending on manual feature extraction while IC-MFD algorithms based machine-crafted features are the algorithms that detect the faked image automatically from image. …”

March-based diagnosis algorithm for static random-access memory stuck-at faults and transition faults by Mat Isa, Masnita

“…Results obtained from simulation validate the generated fault syndromes thus confirmed the ability of this algorithm to detect and distinguish between SAFs and TFs. …”
Get full text
Get full text

Fault detection with optimum March test algorithm by Zakaria, Nor Azura, Wan Hassan, Wan Zuha, Abdul Halin, Izhal, Mohd Sidek, Roslina, Xiao, Qing Wen

“…The automation hardware was designed to give the flexibility to the user to generate other new March Algorithm prior to the selected algorithm and analyzed the performance in terms of fault detection and power consumption.…”
Get full text
Get full text
Get full text

Breast cancer disease classification using fuzzy-ID3 algorithm with FUZZYDBD method: automatic fuzzy database definition by Nur Farahaina, Idris, Mohd Arfian, Ismail

“…This paper proposed the fuzzy-ID3 (FID3) algorithm, a fuzzy decision tree as the classification method in breast cancer detection. …”
Get full text
Get full text
Get full text
Get full text

Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level by Hasan Mahmoud Sha'ban Kanaker

Experimental evaluation of data fusion algorithm for residual generation in detecting UAV servo actuator fault by Sahwee Z., Rahman N.A., Sahari K.S.M.

“…Algorithms; Data fusion; Hardware; Military vehicles; Redundancy; Software reliability; Unmanned aerial vehicles (UAV); Analytical redundancy; Data fusion algorithm; Experimental evaluation; Fault detection algorithm; Hostile environments; Model reference methods; On-board fault detection; Software and hardwares; Fault detection…”

Artificial immune system based on real valued negative selection algorithms for anomaly detection by Khairi, Rihab Salah

“…This shows that the Negative Selection Algorithms are equipped with the capabilities of detecting changes in data, thus appropriate for anomaly detection. …”
Get full text
Get full text
Get full text
Get full text