National Institute of Technology, Meghalaya
About: National Institute of Technology, Meghalaya is a(n) education organization based out in Shillong, India. It is known for research contribution in the topic(s): Control theory & Electric power system. The organization has 503 authors who have published 1062 publication(s) receiving 6818 citation(s). The organization is also known as: NIT Meghalaya & NITM.
TL;DR: Rutin ( a natural compound) has the highest inhibitor efficiency among the 33 molecules studied, followed by ritonavir (control drug), emetine (anti-protozoal), hesperidin (a natural compound), lopinavir ( control drug) and indinavir(anti-viral drug).
Abstract: A new strain of a novel infectious disease affecting millions of people, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has recently been declared as a pandemic by the World...
TL;DR: In this paper, a hybrid 1-bit full adder design employing both complementary metal-oxide-semiconductor (CMOS) logic and transmission gate logic is reported and is found to offer significant improvement in terms of power and speed.
Abstract: In this paper, a hybrid 1-bit full adder design employing both complementary metal–oxide–semiconductor (CMOS) logic and transmission gate logic is reported. The design was first implemented for 1 bit and then extended for 32 bit also. The circuit was implemented using Cadence Virtuoso tools in 180-and 90-nm technology. Performance parameters such as power, delay, and layout area were compared with the existing designs such as complementary pass-transistor logic, transmission gate adder, transmission function adder, hybrid pass-logic with static CMOS output drive full adder, and so on. For 1.8-V supply at 180-nm technology, the average power consumption (4.1563 $\mu $ W) was found to be extremely low with moderately low delay (224 ps) resulting from the deliberate incorporation of very weak CMOS inverters coupled with strong transmission gates. Corresponding values of the same were 1.17664 $\mu $ W and 91.3 ps at 90-nm technology operating at 1.2-V supply voltage. The design was further extended for implementing 32-bit full adder also, and was found to be working efficiently with only 5.578-ns (2.45-ns) delay and 112.79- $\mu $ W (53.36- $\mu $ W) power at 180-nm (90-nm) technology for 1.8-V (1.2-V) supply voltage. In comparison with the existing full adder designs, the present implementation was found to offer significant improvement in terms of power and speed.
TL;DR: In this article, a Two-Degree-of-freedom-Fractional Order PID (2-DOF-FOPID) controller is proposed for automatic generation control (AGC) of power systems.
Abstract: In this paper, Two-Degree-of-Freedom-Fractional Order PID (2-DOF-FOPID) controller is proposed for automatic generation control (AGC) of power systems. Proposed controller is tested for the first time on a three unequal area thermal systems considering reheat turbines and appropriate generation rate constraints (GRCs). The simultaneous optimization of several parameters of the controllers and speed regulation parameter (R) of the governors is done by a recently developed metaheuristic nature-inspired algorithm known as Firefly Algorithm (FA). Investigation clearly reveals the superiority of the 2-DOF-FOPID controller in terms of settling time and reduced oscillations. Present work also explores the effectiveness of the Firefly algorithm based optimization technique in finding the optimal parameters of the controller and selection of R parameter. Further, the convergence characteristics of the FA are compared to justify its efficiency with other well established optimization technique such as PSO, BFO and ABC. Sensitivity analysis confirms the robustness of the 2-DOF-FOPID controller for different loading conditions and wide changes in inertia constant (H) parameter. Furthermore, the performance of proposed controller is tested against higher degree of perturbation and random load pattern.
TL;DR: An aggregate model of EV fleets and improved version of fractional order (FO) controller is provided in all the areas for robust LFC considering bilateral transactions and Numerous simulations are conducted to validate the superiority of the proposed control strategy.
Abstract: Introduction of vehicle-to-grid technology offer electric vehicles (EVs) to participate in different ancillary services under competitive electric market. EVs provide an opportunity to grow new products and services for grid management. Particularly, EVs, which is a new form of distributed energy storage, can be used to compensate the uncontracted power in the local area if the contracts between the market players are violated. This paper presents the participation of EVs for load frequency control (LFC) under deregulated environment along with other conventional sources such as hydro, thermal, and gas turbine units. An aggregate model of EV fleets and improved version of fractional order (FO) controller is provided in all the areas for robust LFC considering bilateral transactions. Flower pollination algorithm, which is one of the new proven nature inspired algorithm employed to choose the optimal parameters of the FO controllers under several scenarios. Numerous simulations are conducted to validate the superiority of the proposed control strategy.
04 Jan 2019-Crystal Growth & Design
TL;DR: In this paper, the updated concepts on the nature of π-π interactions and their use in various fields ranging from crystal engineering to materials science to biochemistry are discussed and discussed.
Abstract: The updated concepts on the nature of π–π interactions and their use in various fields ranging from crystal engineering to materials science to biochemistry are discussed. This is the opening paper...
Showing all 503 results
|Paul C. van Oorschot||41||150||21478|
|Bibhuti Bhusan Biswal||20||155||1413|
|Naba K. Nath||20||39||1813|
|Atanu Singha Roy||19||48||1071|
|Akhilendra Pratap Singh||19||99||1775|
|Gitish K. Dutta||16||26||1168|
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