We introduce the problem of self healing, in which a system is asked to self diagnose and self repair. The two problems of computing the diagnosis and the repair are often solved separately. We show in this paper how to tie these two tasks together: a planner searches a prospective plan on a sample of the belief state; a diagnoser verifies the applicability of the plan and returns a state of th...

The growing complexity of distributed systems demands for new ways of control. This work addresses self-healing in distributed environments. The term self-healing represents a quite new area of research and is used in a fairly broad way, but can be seen as dynamic fault tolerance. This work proposes generic concepts and algorithms to build self-healing systems. The detection of node failures in...

Particulate materials loaded under uniaxial compression and tension are studied using the Discrete Element Method (DEM). Self-healing of the damaged samples is activated through sintering, a process that effectively increases the contact adhesion (i.e., the tensile strength) between particles. The initial sample is prepared from spherical particles by applying high (isotropic) pressure, where p...

Coronavirus Disease 2019 (COVID-19) has infected thousands of people in Indonesia. A strong immune system can ward off COVID-19 transmission. This study aims to determine the prevention by strengthening body’s through self- healing. uses qualitative methods with analytical descriptive methods. The research subjects were three People Monitoring (ODP) COVID-19. Based on extensive interviews and o...

This paper proposes a complete and effective smart over-voltage monitoring and identification system. In recent years, smart grids are of the greatest interest in power system research. One of the main features of smart grid is their self-healing, which can continuously carry out online self-evaluation, discover existing faults, and correct them immediately. The over-voltage smart monitoring-id...