Search Results - (( based internalization based algorithm ) OR ( data distribution function algorithm ))

Hierarchical Bayesian estimation for stationary autoregressive models using reversible jump MCMC algorithm by Suparman, S., Rusiman, Mohd Saifullah

“…In the hierarchical Bayesian approach, the order and coefficients of the autoregressive model are assumed to have a prior distribution. The prior distribution is combined with the likelihood function to obtain a posterior distribution. …”
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Bayesian inference for the bivariate extreme model by Mohd Amin, Nor Azrita, Adam, Mohd Bakri

“…Maximum likelihood method and a Markov chain Monte Carlo (MCMC) technique, Multiple-try Metropolis algorithm are implemented into the data analysis. MTM algorithm is the new alternative in the field of Bayesian extremes for summarizing the posterior distribution. …”
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Vertical handover decision schemes in fourth generation heterogeneous cellular networks: A comprehensive study by Hushairi, Zen, Adnan, Mahmood, Shadi, M. S. Hilles

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ETERS: A comprehensive energy aware trust-based efficient routing scheme for adversarial WSNs by Khan, T., Singh, K., Hasan, M.H., Ahmad, K., Reddy, G.T., Mohan, S., Ahmadian, A.

“…ETERS utilizes the Beta distribution-based trust function because recovery of trust values under attacks is faster in Beta distribution than Gaussian and Dirichlet distribution. …”
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Metaheuristic optimization techniques for localization in outdoor wireless sensor networks: a comprehensive review by Gumaida, Bassam, Ibrahim, Adamu Abubakar

“…This paper provides an overview of localization algorithms, including centralized and distributed algorithms. …”
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Supervisory control and data acquisition system (SCADA) based customized remote terminal unit (RTU) for distribution automation system by Musse, Mohamud Ahmed, Soo, Wai Lian

“…The SCADA system developed provides fault isolation operation, monitoring and controlling functions for the operators and data collection for future analysis. …”
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A low cost wireless data acquisition system for distribution automation system by Ab Ghani, Mohd Ruddin, Raman, Siti Hajar, Wan Jusoh, Wan Nor Shela Ezwane, Mat Hanafiah, Mohd Ariff, Baharudin, Zikri Abadi

“…The laboratory results are compared with the simulation results to make the final conclusion of the algorithm function properly.…”
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Predicting the popularity of tweets using the theory of point processes. by Tan, Wai Hong

“…The knowledge is combined using a novel empirical Bayes type approach, where the prior distribution for the model parameter is constructed based on the external knowledge, and the likelihood is calculated based on the internal knowledge. …”
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Power line carrier (PLC) based communication system for distribution automation system by Musse, Mohamud Ahmed, Soo, W. L.

“…Supervisory Control and Data Acquisition (SCADA) is integrated with RTU for automatic operating and controlling the distribution system. …”
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Tracking moving targets in wireless sensor networks using extended diffusion strategies of distributed Kalman filter by Solouk, Vahid, Taghizadeh, Hamid, Moghanjoughi, Ayyoub Akbari, Razm, S. K.

“…As a simulation study, we applied the algorithms in a network to track the position and speed of a projectile and compared the results with real world circumstances, using the concept of transient mean square deviations of network as a cost function. …”
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Development of a novel fault management in distribution system using distribution automation system in conjunction with GSM communication by Ab Ghani, Mohd Ruddin, Mat Hanafiah, Mohd Ariff, Raman, Siti Hajar, Wan Jusoh, Wan Nor Shela Ezwane, Baharudin, Zikri Abadi

“…The laboratory results are compared with the simulation results to make the final conclusion on the functionality of the algorithm.…”
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Fault Detection Relevant Modeling of an Industrial Gas Turbine based on Neuro-Fuzzy Approach by Alemu Lemma, Tamiru, Mohd Hashim, Fakhruldin, Rangkuti, Chalillullah

“…Structure and network weights for the NF model are determined by a synergetic approach – Data clustering and Gradient Descent algorithm. Operation data collected in 10 seconds interval and for one day is used for model training and validation. …”
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Bio-inspired snake robot locomotion: a CPG-based control approach by Billah, Md. Masum, Khan, Md. Raisuddin

“…Biological creatures perform their motion by using distributed spinal control system. Natural control generates motion instantly based on the feelings from the environment. …”
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Garra Rufa‐inspired optimization technique by Abdulbari, Hayder A., Jaber, Aqeel S., Shalash, Nadheer A., Abdalla, Ahmed N.

“…Also, a multiobjective real issue in power system is tested using the proposed methods where the objectives were cumulative voltage deviation and power losses of three weight sets during the selection allocation of distribution generators. The results show that the proposed method provides good data and greater convergence to the optimal point compared with the classical methods for most of the functions tested.…”
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Fault identification in pipeline system using normalized hilbert huang transform and automatic selection of intrinsic mode function by Hanafi, M. Yusop, M. F., Ghazali, M. F. M., Yusof, M. A., Pi Remli

“…This paper proposed to apply Integrated Kurtosis-based Algorithm for z-filter Technique (Ikaz) for that allows automatic selection of intrinsic mode function (IMF) that’s should be used. …”
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A Novel Rotating Phase Shift Technique based Peak-to-Average Power Ratio Reduction in OFDM System by Mohammed, Muamer N., Nahar, Ali Kerem, Abdalla, Ahmed N.

“…In the best cases, the result of RPS with respect to an original OFDM signal at pilot-assisted QAM is capable of reducing the electrical PAPR by about 4.5 times at a modest complementary cumulative distribution function (CCDF) point of 10-3 for M=4 low complexity. …”
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Pipe Leak Diagnostic Using High Frequency Piezoelectric Pressure Sensor And Automatic Selection Of Intrinsic Mode Function by Hanafi, M. Yusop, M. F., Ghazali, M. F. M., Yusof, Remli, M. A. Pi, M. H., Kamarulzaman

“…HHT is a way to decompose a signal into intrinsic mode functions (IMF). However, the advantage of HHT is its difficulty in selecting the suitable IMF for the next data postprocessing method which is Hilbert Transform (HT). …”
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Enhanced Cuckoo Search Algorithm With Metaheuristic Components For Extracting The Maxima Of The Orientation Distribution Function by Shehab, Mohammad Mohammad Said

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Multi-Objective Hybrid Algorithm For The Classification Of Imbalanced Datasets by Saeed, Sana

“…Thereafter, a multi-objective hybrid algorithm (MOHA), an extension of the self-adaptive hybrid algorithm is proposed and tested on the established multi-objective (MO) test functions. …”
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A new Gompertz-three-parameter-lindley distribution for modeling survival time data by Liang, Fei, Lu, Hezhi, Xi, Yuhang

“…The statistical properties of the proposed distribution including the shape properties, cumulative distribution, quantile functions, moment generating function, failure rate function, mean residual function, and stochastic orders are studied. …”
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