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4篇 您的检索式：作者名="Devaraj Rajesh"

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		题名	作者	年代	出处	被引量
	1	Attenuation of N -nitrosodiethylamine-induced hepatocellular carcinogenesis by a novel flavonol—Morin显示文摘	Venkatabalasubramanian Sivaramakrishnan Perumal Narasimha Moorthy Shilpa Varuvoor Rajesh Praveen Kumar Sivasitambaram Niranjali Devaraj	2007	Chemico-Biological Interactions2007，，1：	1
	2	The design and implementation of a three-phase active power filter based on sliding mode control显示文摘	SAETIEO Suttichai DEVARAJ Rajesh TORREY David A	1995	IEEE Transactions on Industry Applications1995，31，5：	1
	3	Design and implementation of a three phase active power filter based on sliding mode control显示文摘	Saetieo Suttichai Devaraj Rajesh Torry David A	1995	IEEE Trans on Industry Applications1995，31，5：	1
	4	A Hybrid Offline-Online Approach to Adaptive Downlink Resource Allocation Over LTE显示文摘Radio resource management mechanisms in current and future wireless networks is expected to face an enormous challenge due to the ever increasing demand for bandwidth and latency sensitive applications on mobile devices. This is because an optimal resource allocation scheme which attempts to multiplex the available bandwidth in order to maximize Quality of service(QoS), will pose an exponential computational burden at eNodeB. In order to minimize such computational overhead, this work proposes a hybrid offline-online resource allocation strategy which effectively allocates all the available resources among flows such that their QoS requirements are satisfied. The flows are firstly classified into priority buckets based on real-time criticality factors. During the offline phase, the scheduler attempts to maintain the system load within a pre-specified safe threshold value by selecting an appropriate number of buckets. This offline selection procedure makes use of supervisory control theory of discrete event systems to synthesize an offline scheduler. Next, we have devised an online resource allocation strategy which runs on top of the offline policy and attempts to minimize the impact of the inherent variability in wireless networks. Simulation results show that the proposed scheduling framework is able to provide satisfactory QoS to all end users in most practical scenarios.	Satish Kumar Rajesh Devaraj Arnab Sarkar	2019	IEEE/CAA Journal of Automatica Sinica2019，6，3：	0

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