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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Lavanya Poluboyina
Sreenidhi Institute of Science and Technology

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Adaptation of of March-SS algorithm to word-oriented memory built-in self-test and repair Gobinda Prasad Acharya; Muddapu Asha Rani; Ganjikunta Ganesh Kumar; Lavanya Poluboyina
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 1: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i1.pp96-104

Abstract

The technology shrinkage and the increased demand for high storage memory devices in today’s system on-chips (SoCs) has been the challenges to the designers not only in the design cycle but also to the test engineers in testing these memory devices against the permanent faults, intermittent and soft errors. Around 90% of the chip area in today’s SoCs is being occupied by the embedded memories, and the cost for testing these memory devices contributes a major factor in the overall cost and the time to market. This paperproposes a strategy to develop a word-oriented March SS algorithm-basedmemory built-in self-test (MBIST), which is then applied for memory built-in self-test and repair (MBISTR) strategy. The implementation details for 1 KB of single-port static random-access memory (SRAM) depict that the modified March-SS algorithm based MBISTR-enabled SRAM facilitates self-test and self-repair of embedded memories with a marginal hardware overhead (<1%) in terms of look up tables and slice registers when compared to that of standard SRAM.
An efficient and low cost realization of LoRa based real-time forest protection system Gobinda Prasad Acharya; Lavanya Poluboyina; Jayaprakasan Veeragamoorthi; Chattopadhyay Joydeb
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i3.pp1452-1462

Abstract

The forest is a natural habitat for a variety of fauna and flora, and helps to maintain the ecosystem equilibrium. However, wildfire incidents and deforestation lead to forest degradation. Moreover, most of the existing methods, to preserve the forest resources, are ineffective due to their large establishment cost, more power consumption, and poor coverage. This paper brings out a sustainable solution by developing a forest protection system (FPS) that uses internet of things (IoT) technology together with long range (LoRa) communication. The work focuses on the development of an IoT framework for the detection of any intrusion into the forest as well as the detection of fire incidents in the vicinity of the equipment. Powering the equipment through solar energy makes the system cost-effective. The system is examined in terms of acquisition of data from sensor nodes pertaining to forest protection, relaying the same to the cloud using LoRa wide area network (LoRaWAN) technology and analyzing using cloud based visualization tools. The developed system has been deployed at Eturnagaram Wildlife Sanctuary, Mulugu district, Telangana, India for validation in the forest environment. The obtained results have shown that the system has an accuracy of 97.14% for intrusion detection and 100% for fire detection.
Co-Authors Chattopadhyay Joydeb Ganjikunta Ganesh Kumar Gobinda Prasad Acharya Jayaprakasan Veeragamoorthi Muddapu Asha Rani