Parthasarathy Panchatcharam

Dr. Parthasarathy Panchatcharam


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2018 in Future Generation Computer Systems
Verified
Journal Article
Closed access
PKPriyan Malarvizhi Kumar
Priyan Malarvizhi Kumar
SLS. Lokesh
S. Lokesh
RVR. Varatharajan
R. Varatharajan
GBGokulnath Chandra Babu
Gokulnath Chandra Babu
PPParthasarathy Panchatcharam
Parthasarathy Panchatcharam

11 April 2018 in Design Automation for Embedded Systems
Verified
Journal Article
Closed access
PDF file
KMK. Mathan
K. Mathan
PKPriyan Malarvizhi Kumar
Priyan Malarvizhi Kumar
PPParthasarathy Panchatcharam
Parthasarathy Panchatcharam
GMGunasekaran Manogaran
Gunasekaran Manogaran
RVR. Varadharajan
R. Varadharajan

2 April 2018 in International Journal of Computers and Applications
Verified
Journal Article
Closed access
PPParthasarathy Panchatcharam
Parthasarathy Panchatcharam
SVS. Vivekanandan
S. Vivekanandan
In the midst of all the applications empowered by the Internet of Things (IoT), constant health surveying framework is an especially essential one. The leg movement monitoring framework is utilized to recognize the beginning time of joint pain illness. Wearable sensor gadgets and Uric acid (UA) sensor utilized as a part of IoT health monitoring framework for joint inflammation ailment have been creating a gigantic measure of information on a nonstop premise with rapid, change of huge health facts, and identification of these infections present some significant issues. These can be overwhelmed by utilizing the proposed framework for health data transformation and alongside the calculation utilized for the discovery of human foot movement for the GOUT arthritis diagnosis. Sensitivity and specificity are computed to assess the Time wrapping calculation-based characterization display for Arthritis ailment. The exploratory outcomes demonstrated the adequacy of the dynamic time wrapping technique. At last, ROC examination is conducted to distinguish the most significance clinical and laboratory assessments to get joint inflammation (GOUT arthritis) and kidney ailment.

18 May 2023 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
Sampath BoopathiSampath Boopathi
Sampath Boopathi
AAAbdulrahman Saad Alqahtani
Abdulrahman Saad Alqahtani
AMAZATH MUBARAKALI
AZATH MUBARAKALI
PPParthasarathy Panchatcharam
Parthasarathy Panchatcharam

8 October 2018 in Health Information Science and Systems
Verified
Journal Article
Closed access
PDF file
PPParthasarathy Panchatcharam
Parthasarathy Panchatcharam
SVS. Vivekanandan
S. Vivekanandan

17 February 2023 in Heliyon
Verified
Journal Article
Open access
NNNavashree Nagarajan
Navashree Nagarajan
PPParthasarathy Panchatcharam
Parthasarathy Panchatcharam
Electronic waste generation is indeed a global concern; therefore, appropriate management and recycling are becoming highly significant. Printed circuit boards (PCBs) are significant portion of e-waste; contains a large number of valuable metals, rendering this material an important recovery resource. Among all other metals, the high Copper concentration of PCB residues, which is often ten times higher than that of rich-content rocks, makes these residues an appealing secondary source of Cu recovery. The primary goal of this study is to develop a simple and economical method for recovering Cu from waste PCBs. To leach metals, a combination of citric acid, acetic acid, and hydrogen peroxide (H2O2) was utilized. The influence of systemic factors such as citric acid concentration, acetic acid concentration, and H2O2 concentration on Cu leaching process was investigated. The results proved that the combination of citric acid, acetic acid, and H2O2 has increased the leaching efficiency of copper. More copper was dissolved when leaching with 0.5-1.5 M citric acid, 2.5-7.5%, and 2.5-7.5% H2O2 at 30 °C; however the individual acids produces less amount of Cu such as 26.86 ppm, 22.33 ppm, and 6.28 ppm whereas, high amount of Cu is obtained from the leaching solution containing 1 M citric acid, 5% acetic acid and 5% H2O2 with 325.89 ppm respectively. Thus, the combination of these acids and can be used as standardized method for leaching of Cu. These findings suggest that organic acids can replace inorganic acids as eco-friendly lixiviants for waste management.