Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Niroop Sugunaraj"'
Autor:
Tanzim Jim Hassan, Jamison Jangula, Akshay Ram Ramchandra, Niroop Sugunaraj, Barathwaja Subash Chandar, Prashanth Rajagopalan, Farishta Rahman, Prakash Ranganathan, Ryan Adams
Publikováno v:
IEEE Access, Vol 12, Pp 4911-4939 (2024)
Unmanned aerial systems/vehicles (UAS/UAVs) are increasingly utilized for inspecting high-voltage (HV) Tx lines. Operating on batteries, these UAVs are equipped with various electrical sensors, microprocessors, and motors. All of these sensors are su
Externí odkaz:
https://doaj.org/article/733a5fc4af294b50acf2999785c1540f
Autor:
Youness Arjoune, Niroop Sugunaraj, Sai Peri, Sreejith V. Nair, Anton Skurdal, Prakash Ranganathan, Burton Johnson
Publikováno v:
Plant Methods, Vol 18, Iss 1, Pp 1-39 (2022)
Abstract Soybeans play a key role in global food security. U.S. soybean yields, which comprise $$32\%$$ 32 % of the total soybeans planted in the world, continue to experience unprecedented grain loss due to the soybean cyst nematode (SCN) plant path
Externí odkaz:
https://doaj.org/article/16fbfdd4e35b4b57851529059ef69b30
Publikováno v:
Sensors, Vol 22, Iss 2, p 458 (2022)
Power system failures or outages due to short-circuits or “faults” can result in long service interruptions leading to significant socio-economic consequences. It is critical for electrical utilities to quickly ascertain fault characteristics, in
Externí odkaz:
https://doaj.org/article/cf739835df7d44b4bdc520956d405950
Autor:
Youness Arjoune, Sai Peri, Niroop Sugunaraj, Avhishek Biswas, Debanjan Sadhukhan, Prakash Ranganathan
Publikováno v:
Sensors, Vol 21, Iss 13, p 4375 (2021)
Heat loss quantification (HLQ) is an essential step in improving a building’s thermal performance and optimizing its energy usage. While this problem is well-studied in the literature, most of the existing studies are either qualitative or minimall
Externí odkaz:
https://doaj.org/article/4b84bd9dd18f40fe87504ab5273c4347
Publikováno v:
2022 North American Power Symposium (NAPS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e113f37b6ae1618d9b75f7e172dad007
https://doi.org/10.1109/naps56150.2022.10012137
https://doi.org/10.1109/naps56150.2022.10012137
Autor:
Niroop Sugunaraj, Prakash Ranganathan
Publikováno v:
2022 IEEE International Conference on Electro Information Technology (eIT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b285393c736ce98ae546a4b3f1288ebd
https://doi.org/10.1109/eit53891.2022.9813928
https://doi.org/10.1109/eit53891.2022.9813928
Autor:
Karthikeyan Sadatsharan, Zeinab El-Rewini, Prakash Ranganathan, Daisy Flora Selvaraj, Niroop Sugunaraj, Siby Jose Plathottam
Publikováno v:
IEEE Sensors Journal. 20:13752-13767
Today’s modern vehicles contain anywhere from sixty to one-hundred sensors and exhibit the characteristics of Cyber-Physical-Systems (CPS). There is a high degree of coupling, cohesiveness, and interactions among vehicle’s CPS components (e.g., s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42200cf347fb56c34a7769f01fe4bb32
https://doi.org/10.1109/jsen.2020.3004275
https://doi.org/10.1109/jsen.2020.3004275
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783031063701
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55c10972de2c2eee4d9eae2ff121b66a
https://doi.org/10.1007/978-3-031-06371-8_22
https://doi.org/10.1007/978-3-031-06371-8_22
Autor:
Avhishek Biswas, Sai Peri, Youness Arjoune, Debanjan Sadhukhan, Niroop Sugunaraj, Prakash Ranganathan
Publikováno v:
Sensors
Volume 21
Issue 13
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 4375, p 4375 (2021)
Volume 21
Issue 13
Sensors (Basel, Switzerland)
Sensors, Vol 21, Iss 4375, p 4375 (2021)
Heat loss quantification (HLQ) is an essential step in improving a building’s thermal performance and optimizing its energy usage. While this problem is well-studied in the literature, most of the existing studies are either qualitative or minimall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a294c76eb2504444233c0ef4f9d5bb1e
Autor:
Sai Peri, Michael Nord, Prakash Ranganathan, David T. Flynn, Niroop Sugunaraj, Youness Arjoune, Gautham Krishnamoorthy, Debanjan Sadhukhan
Publikováno v:
IEEE BigData
Energy audit in buildings is an essential task for optimal energy management and operations. This paper focuses on a machine learning pipeline to quantify heat loss using 60,000 thermal images in buildings. The images are captured from a small Unmann
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e853642e2b69c226eaf87e0b6bcf660a
https://doi.org/10.1109/bigdata47090.2019.9006077
https://doi.org/10.1109/bigdata47090.2019.9006077