G
Govindasamy Balasekaran
Researcher at Nanyang Technological University
Publications - 77
Citations - 1295
Govindasamy Balasekaran is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Medicine & Random early detection. The author has an hindex of 14, co-authored 69 publications receiving 1091 citations. Previous affiliations of Govindasamy Balasekaran include University of Texas at Arlington & National Institute of Education.
Papers
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Journal ArticleDOI
Acute effect of 30 min of accumulated versus continuous brisk walking on insulin sensitivity in young Asian adults.
TL;DR: It is demonstrated that 30 min of brisk walking is sufficient to improve insulin sensitivity in healthy, young Asians but only continuous and not accumulated walking provides this benefit.
Book ChapterDOI
Estimation of Body Segment Parameters Using Dual Energy Absorptiometry and 3-D Exterior Geometry
TL;DR: In this article, a method for reconstructing subject-specific 3D body mass distribution using from Dual Energy Absorptiometry X-ray imaging and 3D exterior geometry was proposed.
Journal Article
Omni Scale Perceived Exertion responses in obese and normal weight male adolescents during cycle exercise.
TL;DR: The OMNI Scale is valid for use with 12-14 year-old OB and NW adolescent males and RPE remained similar for the two cohorts with the same fat free mass but with different fat mass, suggesting OMNI scale RPE seems to be able to reflect effort delivered by metabolically active muscle during cycle exercise.
Proceedings ArticleDOI
Analyzing the Receiver Window Modification Scheme of TCP Queues
TL;DR: RWM modified queues in ingress or gateway routers are not influenced by the number and state of the downstream router as they will piggyback congestion information to the source in the next available acknowledgement packet.
Proceedings ArticleDOI
A QoS scheme to address communication latency issues for critical network flows in best-effort networks using mobile agents
TL;DR: A quality of service (QoS) scheme that is scalable, congestion avoiding and controlling, network performance monitoring, congestion forecasting, diagnosing, and resource allocating and enforcing scheme aimed at providing end-to-end communication latency and jitter for these flows in a scalable, proactive and reactive manner is introduced.