Pulmonary Mucormycosis with Diabetes Mellitus: A Case Report

Mucormycosis is an uncommon but life threatening fungal infection that generally occurs mostly in immunocompromised patients. Patients do not respond to the antibiotics and so the condition may prove to be fatal if not timely detected. In this report, we summarize a case of pulmonary mucormycosis in a patient with diabetes mellitus who was cured using Amphotericin B

Closed ideals and Lie ideals of C0(X)⊗min⁡AC_0(X) \otimes^{\min} A

In this article, we prove that a closed ideal of $C_0(X) \otimes^{\min} A$ is a finite sum of product ideals, where $X$ is a locally compact Hausdorff space and $A$ is $C^*$-algebra with only finitely many closed ideals. As an application, we characterize the closed Lie ideals of $C_0(X) \otimes^{\min} B(H)$, $H$ being a separable Hilbert space. Further, for a $C^*$-algebra $A$, the primitive ideals of $C_0(X) \otimes^{\min} A$ are characterized. We also prove that for a simple unital $C^*$-algebra $A$ and a compact Hausdorff space $X$, $A$ has Dixmier property if and only if $C(X) \otimes^{\min} A$ has the same.Comment: 10 page

Fuzzy based approach for Temporary objective identification

This paper presents a new fuzzy-based approach which identifies the most effective temporary objective of an enterprise, which is usually set based on the pure judgment of top management members or enterprise's experts. The method is based on fuzzy-decision-making system and makes robust utilization of enterprise's experts' knowledge, intuition and expertise. A simple illustrative example is provided to demonstrate how the method can be efficiently and effectively used in practice. The proposed approach can be used to identify the short-term objective of any profit- making-enterprise, and is specially applicable to business industries that are full of qualitative, stochastic, uncertain, and vague variables such as the case in automobile business (e.g., cars, trucks, gears, bearings etc), and is generally applicable to any other business sector.  Keywords: Temporary Objectives, fuzzy decision-making-system, fuzzy expert-syste

Improvement of Voltage Profile and Loss Reduction Using Optimized Soft Computing Based Capacitor Placement Methodology

Significant exploration has been done on the arrangement of ideal capacitor arranging in the appropriation frameworks for the assignments of power factor adjustment, voltage profile improvement and misfortune decrease. Particularly, mechanical plant with variable load conditions has huge inductive loads and its power factor is exceptionally poor. These ventures advantage most capacitor banks. This bank gives improved power factor, expanded voltage level on the load and lessen the electric service bills. Moreover, programmed capacitor banks might be ready to dispose of kVAr stimulated at light-load periods and bothersome over-voltages. In most cases, the primary motivation behind why a client introduces a capacitor bank is to maintain a strategic distance from punishment in the power bill. Power factor is a proportion of the genuine power to evident power, and speaks to how a lot genuine power electrical gear uses. A power factor of any worth other than solidarity is brought about by inductive or capacitive reactance and harmonics in the circuit [2]. The expansion in power request and high load thickness in the urban zones makes the activity of power frameworks muddled. To fulfill the load need, the framework is required to extend by expanding the substation limit and the quantity of feeders. Notwithstanding, this may not be handily accomplished for some utilities because of different requirements. Along these lines, to give more limit edge for the substation to fulfil load need, framework misfortune minimization procedures are utilized. In addition, the impact of electric power misfortune is that heat energy is dispersed which builds the temperature of the related electric parts and can bring about protection disappointment. By limiting the power misfortunes, the framework may secure longer life expectancy and have dependability that is more prominent. Different techniques have been utilized to decrease power misfortunes financially by ideal choice of size, area and cost of capacitor bank

Design Simulation of Multilevel Neutral Point Clamped Inverter System for Solar Photovoltaic Applications

This paper presents design and simulation of Neutral Point Clamped multi-level inverter system connected to a solar photovoltaic system. The design of multilevel inverter is based on neutral point clamped topology. The improved space vector pulse width modulation enables better performance and output of the system in both qualitative as well as quantitative factor. The system is connected to solar photovoltaic system and the output is realized in the form of voltage and current from the output of inverter. In the present research the system is analyzed for high power application of the solar photovoltaic system. Simulation is done on MATLAB Simulink platform. The output obtained have shown promising and efficient result after the application of proposed topology

Review and Analysis on Solar Energy Forecasting Using Soft Computing and Machine Learning Methodologies

Traditional power producing methods can't keep pace with India's growing need for electricity. New Delhi to Kolkata were all without power as of July 30, 2012, due to the world's largest blackout. In the next five years, India's power generation capacity will expand by 44 percent. Demand for power develops as India's population and economy expand. To reduce power outages and satisfy future energy needs, what needs to be changed? India has made the decision to move away from fossil fuels in favor of renewable energy sources, both for economic and environmental reasons. There has been an increase in the use of solar PV panels as a sustainable energy source in recent years. With improved access to data and computing power, machine-learning algorithms can now make better predictions. Machine learning and time series models can assist many stakeholders in the energy industry make accurate projections of solar PV energy output. In this study, various machine learning algorithms and time series models are evaluated to find which is most effective. While much research has already gone into wind energy forecasting, solar energy forecasting is only now beginning to see an uptick in interest. A detailed review and analysis model is presented in this study. Power system operational planning has become a major issue in today's world. In order for the power system to function properly, a range of factors must be anticipated with the utmost accuracy over various forecasting horizons. It is important to note, however, that scholars have devised a variety of methods for forecasting distinct factors. Exogenous variables play an important role in the implementation and analysis of new forecasting models that have recently been published in the literature. In order to predict renewable energy resources, an intelligent approach is needed. Achieving the best accurate forecasts for these variables while minimizing computing effort is a work in progress because of the rising complexity of the power system. Solar power forecasting as well as wind power forecasting will be the focus of this research in light of these concerns. Comparing these models' outcomes to the results of previous models will also be done

Quantitative approach for Theory of Constraints in Manufacturing

In this paper, a systematic and quantitative view is presented for the application of the theory of constraints in manufacturing. This is done employing the operational research technique of mathematical programming. The potential of the theory of constraints in manufacturing is demonstrated. By applying the TOC philosophy based on this information, managers will be able to take the right actions that will improve the profitability of their companies. The model is proposed to be used with the TOC philosophy in order to improve the financial performance of a company. Keywords: Theory of Constraints, bottlenecks, Capacity-constrained resources (CCR), Throughpu

Numerical Simulation of Impoved Soft Computing Based Optimization Based Capacitor Placement in distributed generation system

Important exploration has been performed on the arrangement of ideal capacitor arrangement in the appropriation structures for power factor adjustment assignments, enhancement of voltage profile and loss reduction assignments. In particular, a mechanical plant with variable load conditions has enormous inductive loads and an extremely low power factor. In most situations, keeping a strategic distance from retribution in the power bill is the primary reason behind why a consumer introduces a capacitor bank. Power factor is a proportion of the actual power to the apparent power, which speaks of how much electrical gear uses genuine power. Inductive or capacitive reactance and harmonics in the circuit[2] are induced by a power factor of some importance other than solidarity. In the urban areas, the expansion in power demand and high load thickness renders the operation of power frameworks muddled. The framework must be e xpanded by extending the substation cap and the quantity of feeders in order to fulfil the load requirement. Notwithstanding, due to various specifications, this might not be easily done for certain services. The framework will ensure longer life expectancy and have more influential reliability by limiting power misfortunes. Different techniques have been used to minimise power misfortunes financially through the capacitor bank's ideal choice of scale, area and cost. The problem of capacitor allocation in e lectrical distribution systems involves decreases in energy expansion and pinnacle power misfortune by methods for capacitor facilities. This paper introduces a novel method that uses inexact thinking to determine the framework of competitor hubs in a capacitor arrangement conveyance framework. There are two parts of the arrangement technique: to some degree, the misfortune affecttability factors are used to pick the up-and-comer areas for the capacitor situation, and to a small extent, the genetic algorithm technique is used to identify the capacitor's measures to reduce energy losses and increase the voltage profile by placement of capacitors. The device implemented worked successfully for the objective purpose of loss reduction and voltage profile enhancement for the test case

Review on Design of Improved Unified Power Quality Conditioner for Power Quality Improvement

Non-linear loads are frequently affected by power quality (PQ). Resonance mechanisms, condenser overheating, and other performance-degrading consequences are all caused by harmonic currents. Voltage sags are common in low-voltage systems. While harmonic currents are pumped into the grid, equipment like electrical converters improve the entire response of an equal load. The necessity for reactive power is well-known for lowering feeder voltage and increasing losses. Harmonic currents can cause a poor signal by distorting the waveform voltage. There's also a rise in the number of loads that need significant sinus tension to work correctly. People are getting more interested in power conditioning solutions as electronic devices become more power-sensitive. As a result, if the amount of electricity produced falls below a specified threshold, compensation must be supplied. The Unified Power Quality Controller (UPQC) is a type of AC transmission system that can manage voltage, impedance, and phase angle. UPQC (United Provinces and Territories (FACTS). A Dynamic Voltage Restorer, a Fuzzy Controlled Shunt Active Power Filter, and a UPQC are required to improve the power quality of the power system. DVRs (Dynamic Voltage Restorers) are power converters that are installed in responsive load arrays to protect against supply disruptions. Because of its short response time and high level of dependability, it is an excellent tool for increasing the quality of electrical power. The simulation results were compared to the basic system and enhanced to demonstrate the efficiency of the suggested system

A Review on Control Strategies and Topologies of Multi Level Converter System

In recent decades, high-performance and medium voltage energy management for academia and industry have been attracted by multi-level converter topologies. In addition, the multi-level principle is used without decreasing the inverter power output to synthesise the harmonic distortion on the output waveform. For the reduction of harmonic distortion in the output waveform, the multi-level principle is used. The following topologies are presented: diode clamped inverters (neutral point clamped), condenser clamped (flying condenser), multi-level cascading (dc source, etc.) and the most effective modulation methods built for this converter category: multi-level, selective harmonic removal and space m vectors. A series of different topologies are given in this paper. Multi-level inverters have been gaining popularity in research teams and in the production of industrial applications for high and medium voltage applications for 20 years. Moreover, compared to a conventional converter, multi-level inverters can generate switched waveforms with reduced harmonic slopes. Recently, multi-level inverters have increased interest in their ability to generate high-quality wave forms at lower frequencies; the multi-level topology used in dynamic restaurant voltages reduces the harmonic distortion of the inverter output waveform without inverter output losses. By integrating control techniques for multi-level inverters, this paper discusses the most common topologies, making their implementations flexible in some power applications in many industrial areas