The integration of human-intuitive interactions into autonomous systems has been limited. Traditional Natural Language Processing (NLP) struggle with context and intent understanding, severely restricting human-robot interaction. Recent advancements in Large Models (LLMs) have transformed this dynamic, allowing for intuitive high-level communication through speech text, bridging the gap between human commands robotic actions. Additionally, navigation emerged as a central focus robotics...

Vision-based object tracking is a critical component for achieving autonomous aerial navigation, particularly obstacle avoidance. Neuromorphic Dynamic Vision Sensors (DVS) or event cameras, inspired by biological vision, offer promising alternative to conventional frame-based cameras. These cameras can detect changes in intensity asynchronously, even challenging lighting conditions, with high dynamic range and resistance motion blur. Spiking neural networks (SNNs) are increasingly used...

Abstract The equilibrium phosphate sorption and release behavior the kinetics of adsorption were studied in some acidic soils South Southeast Asia. Phosphate data at 25 °C fitted to Tempkin, Freundlich, Langmuir isotherms. varied widely their capacity sorh retain P. During desorption, amount sorbed P a given concentration was always higher than that during sorption, indicating low desorbability kinetic 21 35 modified Freundlich type equation obtain parameter related rate coefficient. effect...

Abstract A systematic study of the process variables for polyester composites based on different natural fibers like jute, sisal, ramie, and pineapple has been made with a view to determine most suitable processing conditions such composites. Effect polyesteramide polyol (PEAP) as interfacial agent in also discussed. Fracture modes jute/polyester (JP) composite sample having fiber volume fractions have examined by scanning electron microscope (SEM). surfaces untreated PEAP‐treated JP samples...

Model Predictive Control (MPC) is a state-of-the-art (SOTA) control technique which requires solving hard constrained optimization problems iteratively. For uncertain dynamics, analytical model based robust MPC imposes additional constraints, increasing the hardness of problem. The problem exacerbates in performance-critical applications, when more compute required lesser time. Data-driven regression methods such as Neural Networks have been proposed past to approximate system dynamics....

The most effective hydrometallurgical processing of anode slime is based on a chlorination route. However, it requires special attention with respect to pollution problems and construction materials. To minimize the problems, new approach was pursued for recovery valuable metals metalloids from copper electrorefining slime. process involved leaching in sulfuric acid medium. At room temperature, without any additive resulted poor recoveries other than copper. With addition MnO2 system at an...

The Archaean Sittampundi Layered Magmatic Complex (SLC) of south India is interpreted as a part the oceanic crust that formed in suprasubduction zone setting. assemblage corundum + anorthite amphibole (magnesiohornblende to tschermakite pargasite) clinozoisite (C1PACz) developed highly calcic anorthosite SLC at culmination ca. 2.46 Ga tectonothermal event. Changing physicochemical conditions during this early Paleoproterozoic (Siderian) event produced spinel second generation through...

Vision-based object tracking is an essential precursor to performing autonomous aerial navigation in order avoid obstacles. Biologically inspired neuromorphic event cameras are emerging as a powerful alternative frame-based cameras, due their ability asynchronously detect varying intensities (even poor lighting conditions), high dynamic range, and robustness motion blur. Spiking neural networks (SNNs) have gained traction for processing events energy-efficient manner. On the other hand,...

One of the most extensively studied combinatorial optimization problems is Travelling Salesman Problem (TSP). Considerable research efforts in past have resulted exact solvers. However, runtime such hand-crafted solutions increases exponentially with problem size. Ising model based solvers also gained prominence due to their abilities find fast and approximate for problems. heuristics suffer from scalability as solution quality becomes increasingly sub-optimal increase In this work, we...

A new approach for the treatment of copper electrorefining anode slime based on hydrometallurgical route involving sulfuric acid leaching with additives such as manganese dioxide and sodium chloride has been developed at National Metallurgical Laboratory (NML), Jamshedpur, India. Mineralogical characterization residues after various treatments, carried out by XRD, SEM, EDX studies, are reported in this paper. The XRD studies untreated sample revealed presence CuSO4·5H2O, NiO, CuSe, BaSO4,...

Two active-RC integrators are proposed. They provide ideal integration function realization with dual-input capability, the use of a grounded capacitor, and an increase in time-constant ( tau /sub 0/) over its nominal value ), which is made possible by single resistor-controlled multiplier. Sensitivity characteristics proposed networks considered. The have been built laboratory mu A 741 amplifiers using =0.4 F*10 k Omega n=1-10. With square-wave testing under continuous tuning, expected...

Stringent QoS maintenance in a wireless environment for VoIP communication is major challenge. inherently generates constant bit rate traffic and highly sensitive to network delay. However, unpredictable congestion makes session so degraded that its goes below tolerable limit. Accordingly, suitable solution needed adapt varying conditions satisfying minimum while maintaining transparency the end user. We have extensively studied effect of variable voice packet payload size with changing...

A dual-input ideal differentiator network design with a single resistor-controlled time constant and high-gain operational amplifier (OA) devices is described. At high frequencies, the becomes functionally nonideal its quality factor (Q) degrades because of frequency-dependent gain OA. suitable Q-compensation that yields 1: mod /sup 2/ order Q improvement at higher frequencies proposed. The exhibits high-frequency deemphasis characteristics due to OA-poles which would suppress noise...

Abstract A new realisation scheme for third order lowpass Butterworth filter function (BFF) using two CFA devices and few RC components is presented. The design equations utilise the transadmittance elements of devices. maximally flat response at select frequencies in range 5 MHz ≤ f o 30 had been verified with PSPICE macromodel simulation by hardware circuit implementation AD-844 device. active sensitivities are quite low. result measured responses included = 5.1 22.2 MHz. Keywords: analog...

Sliding mode controllers of first and second orders have been designed for linear motion tracking an eletrohydraulic actuation system having deadband other nonlinear features like cylinder stiction, hysterisis Stribeck characteristics. An input linearized structure has developed to formulate sliding controllers, or SMC, 1 2 the system. The applied SMC is coupled with a simple integral compensator attenuating both chatter signal any steady state error output. Real-time experiments carried out...

ABSTRACT This paper is a brief, but not exhaustive review of the literature catalytic mild hydrocracking processes. It includes data characterizing reactivities, reaction network and kinetics reactions. designed for use as reference further research development work in field hydrocracking.

Some new active-RC integrator and differentiator circuits using the currentfeedback amplifier (CFA) device are proposed; both current-mode voltagemode versions reported. The novelties of designs dual-input differential capability, single-resistor tunability at low sensitivities realizability pole/zero origin. Experimental results included.

A parametric equation of the envelope on G−1(jw) plane for general polynomial-type nonlinearity is derived. An analytical method has been suggested evaluation threshold frequency occurrence ferroresonance. Mathematical equations have deduced computing jump-to points quintic nonlinearity. generalised asymptotic values percentage unstable zone various types nonlinearities New definitions jump-up severity and jump-down are introduced. system due to Swift analaysed purposes illustration.

Automatic target recognition (ATR) tasks which typically employ state-of-the-art deep learning inference techniques can be bottlenecked by energy expensive data movement operations in power-constrained edge devices. Consequently, computing paradigms such as in-memory-computing (IMC) are rapidly gaining traction designing neural network (DNN) accelerators. Resistive random access memory (ReRAM), a technology offers high storage density has emerged promising candidate for architecting IMC...

In autonomous aerial navigation, real-time and energy-efficient obstacle avoidance remains a significant challenge, especially in dynamic complex indoor environments. This work presents novel integration of neuromorphic event cameras with physics-driven planning algorithms implemented on Parrot Bebop2 quadrotor. Neuromorphic cameras, characterized by their high range low latency, offer advantages over traditional frame-based systems, particularly poor lighting conditions or during high-speed...

In the rapidly evolving field of vision-language navigation (VLN), ensuring robust safety mechanisms remains an open challenge. Control barrier functions (CBFs) are efficient tools which guarantee by solving optimal control problem. this work, we consider case a teleoperated drone in VLN setting, and add features formulating novel scene-aware CBF using ego-centric observations obtained through RGB-D sensor. As baseline, implement understanding module uses contrastive language image...