Comments on ‘Smallest destabilizing perturbations for linear systems’

A sufficient condition that guarantees the stability of a perturbed continuous time system is derived. It has the advantage that it does not require global minimiza- tion.     

A systematic approach in appliance disaggregation using k-nearest neighbours and naive Bayes classifiers for energy efficiency

One of the ways to achieve energy efficiency in various residential electrical appliances is with energy usage feedback. Research work done showed that with energy usage feedback, behavioural changes by consumers to reduce electricity consumption contribute significantly to energy efficiency in residential energy usage. In order to improve on the appliance-level energy usage feedback, appliance disaggregation or non-intrusive appliance load monitoring (NIALM) methodology is utilized. NIALM is a methodology used to disaggregate total power consumption into individual electrical appliance power usage. In this paper, the electrical signature features from the publicly available REDD data set are extracted by the combination of identifying the ON or OFF events of appliances and goodness-of-fit (GOF) event detection algorithm. The k-nearest neighbours (k-NN) and naive Bayes classifiers are deployed for appliances’ classification. It is observed that the size of the training sets effects classification accuracy of the classifiers. The novelty of this paper is a systematic approach of NIALM using few training examples with two generic classifiers (k-NN and naive Bayes) and one feature (power) with the combination of ON-OFF based approach and GOF technique for event detection. In this work, we demonstrated that the two trained classifiers are able to classify the individual electrical appliances with satisfactory accuracy level in order to improve on the feedback for energy efficiency.     

Images of a First‐Order Spin‐Reorientation Phase Transition in a Metallic Kagome Ferromagnet

First‐order phase transitions, where one phase replaces another by virtue of a simple crossing of free energies, are best known between solids, liquids, and vapors, but they also occur in a wide range of other contexts, including even elemental magnets. The key challenges are to establish whether a phase transition is indeed first order, and then to determine how the new phase emerges because this will determine thermodynamic and electronic properties. Here it is shown that both challenges are met for the spin reorientation transition in the topological metallic ferromagnet Fe₃Sn₂. The magnetometry and variable temperature magnetic force microscopy experiments reveal that, analogous to the liquid–gas transition in the temperature–pressure plane, this transition is centered on a first‐order line terminating in a critical end point in the field‐temperature plane. The nucleation and growth associated with the transition is directly imaged, indicating that the new phase emerges at the most convoluted magnetic domain walls for the high temperature phase and then moves to self‐organize at the domain centers of the high temperature phase. The dense domain patterns and phase coexistence imply a complex inhomogenous electronic structure, which can yield anomalous contributions to the electrical conductivity.     

Binding of the catalytic subunit of protein phosphatase-1 to the ryanodine-sensitive calcium release channel protein

A number of studies have reported that the activity of the ryanodine-sensitive calcium release channel (ryanodine receptor) in the junctional sarcoplasmic reticulum of skeletal and cardiac muscle can be modulated by protein phosphorylation-dephosphorylation through activation of endogenous protein kinases and/or by addition of exogenous protein kinases and protein phosphatases. In this study, we have investigated the possibility that protein phosphatase-1 (PP1) is targeted to the junctional sarcoplasmic reticulum by the direct isolation of PP1-binding proteins on PP1-Sepharose affinity columns. The results show that the ryanodine receptor of both skeletal and cardiac muscle bind to this affinity support, and are released at supraphysiological salt concentrations in a relatively pure state. Reciprocal experiments demonstrated that PP1 binds to the immobilized muscle ryanodine receptor. The direct binding of PP1 to the ryanodine receptor was supported by the finding that tryptic fragments of the receptor were retained on PP1-Sepharose. The ability of PP1 to dephosphorylate the ryanodine receptor that was phosphorylated by protein kinase A was also demonstrated. These studies show that PP1 is targeted to the junctional sarcoplasmic reticulum by binding to the ryanodine receptor, and provide a biochemical basis for the possibility that PP1 may play a role in the regulation of calcium flux via protein phosphorylation-dephosphorylation mechanisms.     

Antifungal effects of cement mortars with two types of organic antifungal agents

This study is concerned with investigating the antifungal effects of cement mortar with an organic antifungal agent on the Aspergilus niger which might be easily discovered in the interiors and exteriors of buildings. Two types of organic antifungal agents: isothiazoline/cabamate and nitrofuran, were used in this study for the purpose of investigating the antifungal effect of cement mortar with antifungal agent on the A. niger of various fungus which can be easily discovered in the interiors and exteriors of building. In addition to the investigation of the antifungal effect, the experiment of basic physical properties, such as compressive and flexural strengths, and flow test was carried out. Cement mortar with the antifungal agent of isothiazoline/cabamate exhibited the outstanding antifungal effects but the antifungal agent of nitrofuran did not give the antifungal effects to cement mortar. Although there is a very slight decrease in the strength, it is almost equal to that of cement mortar without antifungal agents.     

CO2 process intensification of algae oil extraction to biodiesel

Algae-to-biodiesel processes are hindered by high costs and low energy return on investment.^1,2. Herein, three foci in research improve algae-to-biodiesel processes by: (1) reducing high installation and energy costs in the CO₂ sequestration, cultivation, and harvesting stages; (2) improving oil extraction and biodiesel generation; and (3) increasing utilization of the proteins in lipid-extracted biomass (e.g., for animal feed), as well as the omega-3 fatty acids for nutraceuticals and food supplements. A process is introduced that uses carbon dioxide to aid in all three of these foci. CO₂ is used first in the form of microbubbles to lyse algae cell walls, releasing triglyceride oils. CO₂ also aids with transesterification of these triglycerides using methanol. At low temperatures (353.15–368.15 K) and intermediate pressures (5–10 MMPa), carbon dioxide causes methanol to dissolve partially in the triglyceride phase and triglyceride to dissolve partially in the methanol phase, increasing the transesterification reaction rate. Due to the nondestructive nature of these processes, other metabolites can also be harvested providing improvements in both mass and economic efficiency with an overall sharp reduction in the modeled price of biodiesel.     

beta-adrenergic modulation of maxi-K channels in vascular smooth muscle via Gi through a membrane-delimited pathway

Direct modulation of large-conductance Ca2+-activated K+ (maxi-K) channel by receptor-associated G protein in rabbit mesenteric arterial smooth muscle cells was studied using the outside-out patch clamp technique. Applying a beta-adrenoceptor agonist (isoproterenol) increased maxi-K channel activity by 75%, and the effect was almost completely abolished by pretreating the cells with pertussis toxin but not with cholera toxin. When the antibody against Gi protein was present in the pipette solution the stimulatory effect of isoproterenol disappeared. These results suggest that beta-adrenoceptor stimulation increases maxi-K channel activity via a membrane-delimited pathway, probably through pertussis toxin-sensitive G protein (Gi).     

H ∞ and Robust Control of 2-D Systems in FM Second Model

This paper deals with output feedback stabilization and H control problems for two-dimensional (2-D) discrete linear systems without or with parameter uncertainty. The class of systems under investigation is described by the 2-D local state space Fornasini-Marchesini second model. We aim at designing a dynamical output feedback controller to achieve asymptotic stability and H performance for the 2-D system. It is shown that the design of output feedback controller can be recast into a convex optimization problem characterized by linear matrix inequalities (LMIs). The LMI solution is further extended to solve the robust stabilization problem for 2-D systems subject to norm-bounded uncertainty. The solutions for the H control and robust stabilization are applied to two application examples: thermal process control and robust stabilization of processes in Darboux equation.     

Integrated Optimization of Control System for Smart Cylindrical Shells Using Modified GA

In this paper, modeling of the vibration of cylindrical shell components of space structures incorporating piezoelectric sensor/actuators (S/As) for optimal vibration control is proposed and formulated. The parameters of the control system, which include the placement and sizing of the piezoelectric S/As and the feedback control gains, were considered as design variables and optimized simultaneously. The effect of the amount of piezoelectric patches was investigated as well. The criterion based on the maximization of energy dissipation was employed for the optimization of the control system. A modified real-encoded genetic algorithm (GA) dealing with various constraints has been developed and applied to search for the optimal placement and size of the piezoelectric patches as well as the optimal feedback control gains. The results of three numerical examples, which include a simply supported plate, a simply supported cylindrical shell, and a clamped-simply supported plate, demonstrated significant vibration suppression based on the optimal design of the control system. It was also found that for specific controlled vibration modes, the optimal distribution of the piezoelectric S/As should be located at the areas separated by the nodal lines to achieve the optimal control effect. This finding would be useful for the practical design of smart structures.