| dc.contributor.advisor | Palaparthy, Vinay S. | |
| dc.contributor.author | Aswani, Vivek | |
| dc.date.accessioned | 2024-08-22T05:21:00Z | |
| dc.date.available | 2024-08-22T05:21:00Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Aswani, Vivek (2022). Self-Healing Power Management Unit for IoT Enabled Agricultural Systems. Dhirubhai Ambani Institute of Information and Communication Technology. vii, 25 p. (Acc. # T01009). | |
| dc.identifier.uri | http://drsr.daiict.ac.in//handle/123456789/1089 | |
| dc.description.abstract | Self healing denotes the ability of a system to detect failures or faults and repair them and is progressively becoming a hopeful approach to designing dependable digital systems. Digitally advanced systems having planning for self healing are likely to rectify errors and failures. Self healing techniques that are currently being used face hardships such as scalability, reliability, mapping, and area overhead. This thesis explicates and examines the concept of self healing of a power management unit for IoT enabled agricultural systems and explores the self healing methods related to digital design. | |
| dc.publisher | Dhirubhai Ambani Institute of Information and Communication Technology | |
| dc.subject | Power management | |
| dc.subject | Agricultural systems | |
| dc.subject | Digital design | |
| dc.classification.ddc | 333 ASW | |
| dc.title | Self-Healing Power Management Unit for IoT Enabled Agricultural Systems | |
| dc.type | Dissertation | |
| dc.degree | M. Tech | |
| dc.student.id | 202011014 | |
| dc.accession.number | T01009 | |
