A frequency‐constrained geometric Pontryagin maximum principle on matrix Lie groups

We present a geometric discrete‐time Pontryagin maximum principle (PMP) on matrix Lie groups that incorporates frequency constraints on the control trajectories in addition to pointwise constraints on the states and control actions directly at the stage of the problem formulation. This PMP gives first‐order necessary conditions for optimality and leads to two‐point boundary value problems that may be solved by numerical techniques to arrive at optimal trajectories. We demonstrate our theoretical results with numerical simulations on the optimal trajectory generation of a wheeled inverted pendulum and an attitude control problem of a spacecraft on the Lie group SO(3).     

Characterization of some organic poly(aminiumphosphate)s

Summary Metachromatic reactions of MB and AO are studied with poly(aminium phosphate)s. The main band() at 665 m and 492 m for MB and AO are shifted to 580 m and 455 m respectively (-bands). The metachromatic values at different concentrations of poly(aminium phosphate)s are also reported. The dye association for MB with these polymer derivatives is investigated conductometrically as well. It is observed that MB can be at the most bind with the phosphate residue of polymer upto 11 molar ratio. The polymeric nature was further established by paper chromatographic technique in Terry's, Ebel's & Pfrengle's solvents.     

Revisit of Moving Average Technique for Smoothing GNSS Based Timing Data

A new moving average technique with a unique way of assigning weight has been proposed to reduce the influence of the bad/stray data points or large short term fluctuations automatically. A simple iterative technique is introduced wherein the weights of elements are dynamically optimised. This method has been compared with another proposed method which finds the average of a set of data by applying Fuzzy logic through generation of a special membership function. These two methods have been applied on some arbitrarily generated test data for establishing their validation. Finally this technique has been used to smooth the GNSS based timing data. The capabilities of smoothing data utilizing these techniques have been analyzed.     

Performance of Li-ion secondary batteries in low power,hybrid power supplies

Small, portable electronic devices need power supplies that have long life, high energy efficiency, high energy density, and can deliver short power bursts. Hybrid power sources that combine a high energy density fuel cell, or an energy scavenging device, with a high power secondary battery are of interest in sensors and wireless devices. However, fuel cells with low self-discharge have low power density and have a poor response to transient loads. A low capacity secondary lithium ion cell can provide short burst power needed in a hybrid fuel cell–battery power supply. This paper describes the polarization, cycling, and self-discharge of commercial lithium ion batteries as they would be used in the small, hybrid power source. The performance of 10 Li-ion variations, including organic electrolytes with Li_xV₂O₅ and Li_xMn₂O₄ cathodes and LiPON electrolyte with a LiCoO₂ cathode was evaluated. Electrochemical characterization shows that the vanadium oxide cathode cells perform better than their manganese oxide counterparts in every category. The vanadium oxide cells also show better cycling performance under shallow discharge conditions than LiPON cells at a given current. However, the LiPON cells show significantly lower energy loss due to polarization and self-discharge losses than the vanadium and manganese cells with organic electrolytes.     

Traveling Wire Electrochemical Discharge Machining (TW-ECDM) of Quartz Using Zinc Coated Brass Wire: Investigations on Material Removal Rate and Kerf Width Characteristics

Silicon - In this era, advanced non-conducting materials are gaining importance due to their superior properties. However, it is difficult to micro-machine these materials inefficiency and also...     

The Development of Antimicrobial α‐AApeptides that Suppress Proinflammatory Immune Responses

Herein we describe the development of a new class of antimicrobial and anti‐inflammatory peptidomimetics: cyclic lipo‐α‐AApeptides. They have potent and broad‐spectrum antibacterial activity against a range of clinically relevant pathogens, including both multidrug‐resistant Gram‐positive and Gram‐negative bacteria. Fluorescence microscopy suggests that cyclic lipo‐α‐AApeptides kill bacteria by disrupting bacterial membranes, possibly through a mechanism similar to that of cationic host‐defense peptides (HDPs). Furthermore, the cyclic lipo‐α‐AApeptide can mimic cationic host‐defense peptides by antagonizing Toll‐like receptor 4 (TLR4) signaling responses and suppressing proinflammatory cytokines such as tumor necrosis factor‐α (TNF‐α). Our results suggest that by mimicking HDPs, cyclic lipo‐α‐AApeptides could emerge as a new class of antibiotic agents that directly kill bacteria, as well as novel antiinflammatory agents that act through immunomodulation.