http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
An Efficient Reinforcement Learning for Device-to-device Communication Underlaying Cellular Network
Pratap Khuntia,Ranjay Hazra 대한전자공학회 2020 IEIE Transactions on Smart Processing & Computing Vol.9 No.1
In this paper, a novel actor-critic reinforcement learning (RL) based on policy gradient is proposed to solve the channel and power allocation issues for a device-to-device (D2D) enabled cellular network when prior traffic information was not provided to the base station (BS). Furthermore, in this paper, we design a system to learn the optimal policy for resource and power allocation between cellular users (CUs) and D2D users, aimed at maximizing the sum rate of the overall system. Since the behavior of wireless channels, and the received reward in each state associated with the system, is stochastic in nature, the dynamic property of the environment allows us to apply an actor-critic RL technique to learn the best policy through continuous interaction with the surroundings. The policy-based approach is better than a value-based scheme, such as Qlearning, because it takes the help of policy space in order to maximize the expected throughput. The actor adopts a parameter-based stochastic policy for continuous actions, while the critic evaluates the policy through its overall performance, and criticizes the actor for the policy it follows. Through numerical simulations, we verify the performance of our proposed work with the existing methods.
Pratap Anbalagan,Raja Ramachandran,Jinde Cao,Grienggrai Rajchakit,Chee Peng Lim 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.2
In this article, we explore the theoretical issues on the drive-response synchronization of a class of fractionalorder uncertain complex valued neural networks (FOUCNNs) with mixed time varying delays and impulses. Based upon the contraction mapping principle, robust analysis techniques, as well as Riemann-Liouville (R-L)derivative, we derive a new set of novel sufficient conditions for the existence and uniqueness of equilibrium pointof such neural network system, while by applying the Lyapunov functional approach, the global stability of theequilibrium solutions are obtained. Furthermore, the synchronization criterion of FOUCNNs is also attracted bymeans of the adaptive error feedback control strategy. Finally, two examples are provided along with the simulationresults to demonstrate the effectiveness of our main proofs.
Development of Sensors Using Giant Magnetoimpedance Effect In Amorphous Ribbons
Pratap Kollu,Lan Jin,Seok Soo Yoon,Hung Tran Quang,Chong-Oh Kim,CheolGi Kim 한국자기학회 2006 한국자기학회 학술연구발표회 논문개요집 Vol.- No.-
Micro Sized magnetic sensors are needed for recent developments such as magnetic recording technology, highly accurate rotary encoding for intelligent robot control, nondestructive testing and sensing in various industrial and environmental measurement tasks, and automotive control applications. Following the demands of industrial and automotive electronics, a direction sensitive micro-magnetic field sensor is developed using the Giant MagnetoImpedance (GMI) effect in a amorphous Co??Fe₄B₁?Si₁? ribbon. Sensor consists of an amorphous ribbon of about 1 ㎝ length, 20㎛ thickness and 1mm width. The ability of the GMI sensor to detect the geomagnetic field is tested in the laboratory. The sensor is tested for its linearity and angle dependence. The permeability and gmi spectrum for as-quenched, annealed and bead coated samples are studied. The sensor is modeled based on these measurements. The resolution of the sensor is found to be 1V/Oe and angle resolution is 1㎷/degree. The permeability spectrum and the GMI profile of the Magnetic Dynabead M-280<SUP>®</SUP>coated amorphous ribbon are studied, and its application in biosensor is proved experimentally.
Pharmacodynamic evaluation of hypoglycemic effect of Damtab in healthy adultmale volunteers
Pratap Kumar Sahu,AK Najmi,KK Pillai,Nilanjan Saha,Manju Sharma 경희대학교 융합한의과학연구소 2007 Oriental Pharmacy and Experimental Medicine Vol.7 No.2
The objectives of the study were (1) To evaluate the safety and tolerability of Damtab. (2) To characterize hypoglycemic effect of Damtab, if any. (3) To evaluate insulin sensitivity effect of Damtab, if any. Hypoglycemic effect of Damtab (700 mg and 1,400 mg) were examined. Gliclazide (80 mg) was used as an active control. Placebo was used as control. Breakfast was given, half an hour before dosing whereas lunch, snacks and dinner were given at 6, 10 and 14 h post dose. An oral glucose tolerance test was conducted to calculate the insulin sensitivity index from the values of glucose and insulin during oral glucose tolerance test. Both giclazide 80 mg and Damtab 1,400 mg significantly lowered plasma glucose level up to 6 h. Insulin sensitivity index of Damtab (1,400 mg) was found to be similar to that of placebo. A significant increase in insulin level at 1 h post dose of Damtab (1,400 mg) was observed. Damtab 700 mg shows placebo like effect whereas Damtab 1,400 mg possesses hypoglycemic effect.
Pratap Karki,Eunsook Lee,Michael Aschner 대한직업환경의학회 2013 대한직업환경의학회지 Vol.25 No.-
Manganese (Mn) is an essential element that is required in trace amount for normal growth, development as well maintenance of proper function and regulation of numerous cellular and biochemical reactions. Yet, excessive Mn brain accumulation upon chronic exposure to occupational or environmental sources of this metal may lead to a neurodegenerative disorder known as manganism, which shares similar symptoms with idiopathic Parkinson’s disease (PD). In recent years, Mn exposure has gained public health interest for two primary reasons: continuous increased usage of Mn in various industries, and experimental findings on its toxicity, linking it to a number of neurological disorders. Since the first report on manganism nearly two centuries ago, there have been substantial advances in the understanding of mechanisms associated with Mn-induced neurotoxicity. This review will briefly highlight various aspects of Mn neurotoxicity with a focus on the role of astrocytic glutamate transporters in triggering its pathophysiology.