The development of active distribution grids requires more accurate and lower computational cost state estimation. In this paper, the authors investigate a decentralized learning-based system estimation (DSSE) approach for large grids. proposed decomposes feeder-level DSSE into subarea-level problems that can be solved independently. method is pruned physics-aware neural network (D-P2N2). physi...

this paper surveys parallel scheduling problems and metrics correlated to and then applys metrics to make decision in comparison to other policy schedulers. parallel processing is new trend in computer science especially in embedded and multicore systems whereas needs more power consumption to reach speed up. the qos requirement for users is to have good responsiveness and for service providers...

fuzzy clustering methods are conveniently employed in constructing a fuzzy model of a system, but they need to tune some parameters. in this research, fcm is chosen for fuzzy clustering. parameters such as the number of clusters and the value of fuzzifier significantly influence the extent of generalization of the fuzzy model. these two parameters require tuning to reduce the overfitting in the...

Dynamic Bayesian network is the extension of Bayesian network in solving time series problems .It can be well dealt with the time-varying multivariable problem. A state model is given based on Dynamic Bayesian network. The model can more accurately describe the relationship between the system state and the influencing factors. Single-step and multi-step prediction algorithms are given to predic...

the purpose of the study was to examine compliance of extension personnel in imo state agricultural extension service delivery system of nigeria. a purposive and multi-stage random sampling was used to select 105 extension personnel from the three agricultural zones of the state. data generated were analyzed using descriptive statistics such as frequencies and percentages, as well as mean score...

This paper evaluates and implements composite importance measures (CIM) for multi-state systems with multi-state components (MSMC). Importance measures are frequently used as a means to evaluate and rank the impact and criticality of individual components within a system yet they are less often used as a guide to prioritize system reliability improvements. For multi-state systems, previously de...

the study on gender and net farm income of cassava-based farmers under individual land tenure system was done in abia state of nigeria. the main objective was to determine the net farm income (nfi) and the benefit cost ratio (bcr) of the cassava farmers by gender vis-aviz their income levels as well as food security in the state. a multi-stage random sampling technique was adopted while data we...