Active management of distribution networks and different controllable resources will play a key role in future Smart Grids. This paper proposes that centralized active network management functionalities at MV level could also include an algorithm which in real time confirms reliable islanding detection with local measurements based passive method. The proposed algorithm continuously ensures tha...

evidence acquisition a search of pubmed for studies on proximal fifth metatarsal fracture and jones fracture focusing on the classification and management was performed. the reference list of the retrieved articles was searched for additional related studies. conclusions lawrence and botte’s classification of proximal fifth metatarsal fractures is recommended by experts, due to its implication ...

Islanding detection is one of the indispensable protection detections for grid-connected inverters. The detection of islanding is the key factor that should be considered in the analysis of grid-connection security. The non-detection zone is the performance index of anti-islanding plan. According to the phase feature, to make quantitative analyses to the nondetection zone of several frequency d...

Epilepsy surgery is aimed to remove the brain tissues that are indispensable for generating patient's epileptic seizures. There are two purposes in the pre-operative evaluation: localization of the epileptogenic zone and localization of function. Surgery is planned to remove possible epileptogenic zone while preserving functional area. Since no single diagnostic modality is superior to others i...

A vehicle tracking and grouping algorithm is presented in this work using Lukas-Kanade Tracking technique. Every frame of the sequence is downsampled to improve efficiency. A section of the highway is marked to establish a detection zone where the detection and tracking of the features take place. For every frame a background subtraction is done and only the foreground pixels inside the detecti...

An improved approach of fault detection for chiller sensors is presented based on the sensitivity analysis for the original data set used to train the Principal Component Analysis (PCA) model. Sensor faults are inevitable due to the aging, environment, location and so on. Meanwhile, because of the wide range of operational conditions, the fault of a certain sensor is very difficult to be direct...