STATE ESTIMATION IN POWER SYSTEMS UNDER RANDOM DATA ATTACK USING CORRELATION MATCHING, SEMIDEFINITE RELAXATION, AND TRUNCATED EIGENVALUE DECOMPOSITION

This work considers a state estimation problem in modern power systems from the perspective of smart grids.Due to the use of digital technology, smart grids often encounter malicious data that is deliberately injected to attack their grid operations.Such kind of perturbation could be targeted at any domain of a smart grid from household customers t

Gliomas are primary brain tumors, originating from the glial cells here in the brain.In contrast to the more traditional view of glioma as a localized disease, it is becoming clear that global brain functioning is impacted, even with respect to functional communication between brain regions remote from the tumor itself.However, a thorough investiga

Dejene Hailu,1 Mengistu Benayew,1 Tiliksew Liknaw,1 Muluken Ayenew,1 Agumas Fentahun Ayalew,2 Bizuneh Ayano,2 Addis Adera,2 Mengistu Tesema,2 Andualem Gezahegn,3 Tadesse Birhanu,4 Eshetu Wendimu5 1Department of Nursing, College of Health Sciences, Salale University, Fitche, Ethiopia; 2Department of Public Health, College of Health Sciences, Salale

Multimodal data-driven approach has emerged as an important driving force for smart healthcare systems with applications ranging from disease analysis to triage, diagnosis and treatment.Smart healthcare system necessitates new demands for data management and decision-making, which has inspired the rapid development of medical services using artific

Study region: The karst system of the Syemareh Dam site with the reservoir capacity of 3.2 bm3, located in the Zagros fold belt, southwestern of Iran, was studied under two conditions: before and after the reservoir impoundment as pre-reservoir and post-reservoir conditions, respectively.Study focus: Despite a mixing of several water resources incl