Search Results - data distribution practices algorithm~

Locating fault using voltage sags profile for underground distribution system by Mokhlis, Hazlie, Li, H.Y., Bakar, A.H.A., Mohamad, H.

“…This paper presents an alternative fault location algorithm to estimate short-circuit faults location in electrical distribution networks using only voltage sags data. …”
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Assessments of the data management practices in zakat institutions in Malaysia: a concept paper by Awang Abu Bakar, Normi Sham, Yahya, Norzariyah, Abdullah, Lili Marziana, S. Abd. Aziz, Madihah, Baharuden, Ahmad Fazreen, Rosli, Rozaini, Jumaan, Ibrahim Ali

“…This paper assesses the data analytics practices within zakat institutions in Malaysia, focusing on the challenges and opportunities presented by the increasing complexity of data management. …”
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Prospective Control Systems and Cyber-Securities for Electrical Secondary Substations by Jidin R., Basir Khan M.R., Jamil N., Al-Bahadly I.

A Hybrid ant colony optimization algorithm for solving a highly constrained nurse rostering problem by Ramli, Razamin, Abd Rahman, Rosshairy, Rohim, Nurdalila

“…However, there are cases, such as mandatory working days per week and balanced distribution of shift types that could not be achieved in the manually generated rosters, which are still being practiced. …”
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Survey on job scheduling mechanisms in grid environment by S. M., Argungu, Che Mohamed Arif, Ahmad Suki, Omar, Mohd Hasbullah

“…Grid systems provide geographically distributed resources for both computational intensive and data-intensive applications.These applications generate large data sets.However, the high latency imposed by the underlying technologies; upon which the grid system is built (such as the Internet and WWW), induced impediment in the effective access to such huge and widely distributed data.To minimize this impediment, jobs need to be scheduled across grid environments to achieve efficient data access.Scheduling multiple data requests submitted by grid users onto the grid environment is NP-hard.Thus, there is no best scheduling algorithm that cuts across all grids computing environments.Job scheduling is one of the key research area in grid computing.In the recent past many researchers have proposed different mechanisms to help scheduling of user jobs in grid systems.Some characteristic features of the grid components; such as machines types and nature of jobs at hand means that a choice needs to be made for an appropriate scheduling algorithm to march a given grid environment.The aim of scheduling is to achieve maximum possible system throughput and to match the application needs with the available computing resources.This paper is motivated by the need to explore the various job scheduling techniques alongside their area of implementation.The paper will systematically analyze the strengths and weaknesses of some selected approaches in the area of grid jobs scheduling.This helps researchers better understand the concept of scheduling, and can contribute in developing more efficient and practical scheduling algorithms.This will also benefit interested researchers to carry out further work in this dynamic research area.…”
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Transformer T-joint optimization using particle swarm optimization and hemisphere-shape design of the core by Yehya, Omar Sharaf Al-Deen

“…The simulation results have been validated with the manufacturer’s data of transformer rated at 1000 KVA. Practically, good agreements were obtained between the simulation results and the experimental data. …”
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Grid-Based Classifier as a Replacement for Multiclass Classifier in a Supervised Non-Parametric Approach by Moheb Pour, Majid Reza

“…The quality of a given classification technique is measured by the computational complexity, execution time of algorithms, and the number of patterns that can be classified correctly despite any distribution. …”
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Zakat distribution system for Asnaf selection using artificial neural network algorithm in UiTM Cawangan Melaka / Ameera Iman Hassan, Ismadi Md Badarudin and Noor Afni Deraman by Hassan, Ameera Iman, Md Badarudin, Ismadi, Deraman, Noor Afni

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Genetic algorithm-based arrangement of photovoltaic modules in arrays for mismatch loss mitigation by Kohneh, Samad Shirzadi Deh

“…The GA based arrangement is also validated with other data sets of modules that are collected from 3 practical arrays. …”
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A study on course timetabling for FCSIT by Bong,, Chia Lih

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An experience oriented-convergence improved gravitational search algorithm for minimum variance distortionless response beamforming optimum by Darzi S., Tiong S.K., Tariqul Islam M., Rezai Soleymanpour H., Kibria S.

Development of an effective clustering algorithm for older fallers by Goh, Choon Hian, Wong, Kam Kang, Tan, Maw Pin *, Ng, Siew Cheok, Chuah, Yea Dat, Kwan, Ban Hoe

“…The proposed algorithm was developed through the stages of: data pre-processing, feature identification and extraction with either t-Distributed Stochastic Neighbour Embedding (t-SNE) or principal component analysis (PCA)), clustering (K-means clustering, Hierarchical clustering, and Fuzzy C-means clustering) and characteristics interpretation with statistical analysis. …”
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Variational Bayesian inference for exponentiated Weibull right censored survival data by Jibril Abubakar, Jibril Abubakar, Mohd Asrul Affendi Abdullah, Mohd Asrul Affendi Abdullah, Oyebayo Ridwan Olaniran, Oyebayo Ridwan Olaniran

“…Recently, in practice, survival data often exhibit both monotone and non-monotone hazards. …”
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Modelling Of A New Fully Hybrid Spectrum Sharing Approach Fifth Generation Cellular Operators by Attiah, Mothana Lafta

“…Whereas, the new HAQ-mUA was presented to assign a typical user to the serving mCell, which offers the highest achievable data rate. The proposed FHSS based on the HAQ-mUA algorithm was compared with recent works and with both the FHSS approach based on the most conventional max-SINR mUA algorithm and the baseline scenario (utilizing licensed spectrum access). …”
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Abnormalities and fraud electric meter detection using hybrid support vector machine & genetic algorithm by Yap K.S., Abidin I.Z., Ahmad A.R., Hussien Z.F., Pok H.L., Ismail F.I., Mohamad A.M.

“…It provides an increased convergence and globally optimized solutions. The algorithm has been tested using actual customer consumption data from SESB. 10 fold cross validation method is used to confirm the consistency of the detection accuracy. …”

Parameter estimation of K-distributed sea clutter based on fuzzy inference and Gustafson-Kessel clustering by Davari, Atefeh, Marhaban, Mohammad Hamiruce, Mohd Noor, Samsul Bahari, Karimadini, Mohammad, Karimoddini, Ali

“…The main contribution of the proposed method is the ability to estimate the parameters, given a small number of data which will usually be the case in practical applications. …”
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A comparative effectiveness of hierarchical and non-hierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions by Chuan, Zun Liang, Wan Nur Syahidah, Wan Yusoff, Azlyna, Senawi, Mohd Akramin, Mohd Romlay, Fam, Soo-Fen, Wendy Ling, Shinyie, Tan Lit, Ken

“…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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A comparative effectiveness of hierarchical and nonhierarchical regionalisation algorithms in regionalising the homogeneous rainfall regions by Zun, Liang Chuan, Wan Yusof, Wan Nur Syahidah, Senawi, Azlyna, Mohd Akramin, Mohd Romlay, Soo, Fen Fam, Wendy, Ling Shinyie, Tan, Lit Ken

“…Descriptive data mining has been widely applied in hydrology as the regionalisation algorithms to identify the statistically homogeneous rainfall regions. …”
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Transferring near infrared spectroscopic calibration model across different harvested seasons using joint distribution adaptation by Suarin, Nur Aisyah Syafinaz, Kim, Seng Chia

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Coordinate-Descent Adaptation over Hamiltonian Multi-Agent Networks by Azam Khalili, Vahid Vahidpour, Amir Rastegarnia, Ali Farzamnia, Teo, Kenneth Tze Kin, Saeid Sanei

“…However, in some practical situations, perfect data exchange may not be possible among the nodes. …”
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