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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.
Pratap Ganje,김헌 한국고분자학회 2021 한국고분자학회 학술대회 연구논문 초록집 Vol.46 No.2
The global warming concern carbon dioxide (CO₂) absorption is major challenge. Exploring green sustainable energy resources and efficient method from waste polyethylene terephthalate (PET) for CO₂ capture and utilization are urgently required. Hydrophobic aerogel from abundant and cheap sources for CO₂ absorption in practical and industrial applications. The synthesis of low cost, high porous, less density, high surface area, more stable, high mechanical strength, amine functionalized waste plastic aerogel uses for CO₂ absorption. Additionally, it shows good reusability and high-water contact angle in the process. Porous absorbents characterization was carried out using SEM, EDX, UTM, FTIR and TGA measurements.
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.
Ultra Low Field Sensor Using GMI Effect in NiFe/Cu Wires
Pratap Kollu,Doung Young Kim,Cheol Gi Kim 한국자기학회 2007 Journal of Magnetics Vol.12 No.1
A highly sensitive magnetic sensor using the Giant MagnetoImpedance effect has been developed. The sensor performance is studied and estimated. The sensor circuitry consists of a square wave generator (driving source), a sensing element in a form of composite wire of a 25 ㎛ copper core electrodeposited with a thin layer of soft magnetic material (Ni??Fe₂?), and two amplifier stages for improving the gain, switching mechanism, scaler circuit, an AC power source driving the permeability of the magnetic coating layer of the sensing element into a dynamic state, and a signal pickup LC circuit formed by a pickup coil and an capacitor. Experimental studies on sensor have been carried out to investigate the key parameters in relation to the sensor sensitivity and resolution. The results showed that for high sensitivity and resolution, the frequency and magnitude of the ac driving current through the sensing element each has an optimum value, the resonance frequency of the signal pickup LC circuit should be equal to or twice as the driving frequency on the sensing element, and the anisotropy of the magnetic coating layer of the sensing wire element should be longitudinal.
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.
Prototype Milli Gauss Meter Using Giant Magnetoimpedance Effect in Self Biased Amorphous Ribbon
Pratap Kollu,Seok Soo Yoon,Gun Woo Kim,C. S. Angani,Cheol Gi Kim 한국자기학회 2010 Journal of Magnetics Vol.15 No.4
In our present work, we developed a GMI (giant magnetoimpedance) sensor system to detect magnetic fields in the milli gauss range based on the asymmetric magnetoimpedance (AGMI) effect in Co-based amorphous ribbon with self bias field produced by field-annealing in open air. The system comprises magnetoimpedance sensor probe, signal conditioning circuits, A/D converter, USB controller, notebook computer, and program for measurement and display. Sensor probe was constructed by wire-bonding the cobalt based amorphous ribbon with dimensions 10 ㎜ × 1 ㎜ × 20 ㎛ on a printed circuit board. Negative feedback was used to remove the hysteresis and temperature dependence and to increase the linearity of the system. Sensitivity of the milli gauss meter was 0.3 V/Oe and the magnetic field resolution and environmental noise level were less than 0.01 Oe and 2 mOe, respectively, in an unshielded room.
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.