A Fuzzy Controlled LCC HVDC System with AC Voltage and Reactive Power Control

The main work focus is on the LCC HVDC reactive power control system with fluid regulated AC voltage. The reactive power and the voltage control capacity of LCC HVDC were examined and demonstrated with controlled condensers. Reactive power control and voltage management have been suggested and associated controllers with variable condensers have been developed on the reverse side of the fuzzy controlled LCC HVDC system. The active corrective side power control is required and a reactive or voltage control has been taken into account in this work. This study looks at the inverter side of the system LCC HVDC with customizable capacitors, reactive power and fluid management of the AC voltage. The usual AC voltage control and PI controller for reactive power is replaced by an injected controller that enhances reaction speed and control. In the MATLAB software with Sim-Power system toolbox, graphs are created using a GUI environment to model the proposed fuzzy-controlled HVDC system

Production and Purification of Pectinase from <i>Bacillus subtilis</i> 15A-B92 and Its Biotechnological Applications

Enzymes that degrade pectin are called pectinases. Pectinases of microbial origin are used in juice clarification as the process is cost-effective. This study screened a pectinase-producing bacterium isolated from soil and identified as Bacillus subtilis 15A B-92 based on the 16S rRNA molecular technique. The purified pectinase from the isolate showed 99.6 U/mg specific activity and 11.6-fold purity. The molecular weight of the purified bacterial pectinase was 14.41 ± 1 kD. Optimum pectinase activity was found at pH 4.5 and 50 °C, and the enzyme was 100% stable for 3.5 h in these conditions. No enzymatic inhibition or activation effect was seen with Fe2+, Ca2+, or Mg2+. However, a slight inhibition was seen with Cu2+, Mn2+, and Zn2+. Tween 20 and 80 slightly inhibited the pectinase, whereas iodoacetic acid (IAA), ethylenediaminetetraacetate (EDTA), urea, and sodium dodecyl sulfate (SDS) showed potent inhibition. The bacterial pectinase degraded citrus pectin (100%); however, it was inactive in the presence of galactose. With citrus pectin as the substrate, the Km and Vmax were calculated as 1.72 mg/mL and 1609 U/g, respectively. The high affinity of pectinase for its substrate makes the process cost-effective when utilized in food industries. The obtained pectinase was able to clarify orange and apple juices, justifying its application in the food industry

New structural classes of antituberculosis agents

Tuberculosis (TB), one of the deadliest diseases is shattering the health and socioeconomic status of the society. The emergence of multidrug resistant (MDR) and extremely drug resistant (XDR) strains has provided unprecedented lethal character to TB. The development of MDR and XDR strains of TB results in more deaths, longer duration of therapy, and appearance of the disease in the immunocompromised patients. Because of the development of rapid resistance by Mycobacterium tuberculosis, researchers are confronted with serious challenges in combating TB. For instance, the need for potency and specificity in therapeutic agents approaching clinics, and the increasing demand of low toxicity due to long duration of treatment. Recently, it is proposed that such challenges could be addressed by a shift from contemporary or known classes of drugs to new scaffold‐containing or entirely new structural classes of drugs that possibly act on the previously unknown targets, resulting in possibly less instances of resistance development. The exploitation of advances made in the biology of TB in the last and present decades have created opportunities to discover a large number of new structural classes that specifically targets TB by molecular mechanism of action(s) unknown earlier. We have earlier reviewed new structural classes of anti‐TB agents up to year 2005. This review covers literature reports of the subsequent 10 years on the discovery of new structural classes of synthetic anti‐TB agents. Due to the availability of large number of research reports, we have divided new compounds in 38 structural classes, 368 structures, and 307 references

3rd National Conference on Image Processing, Computing, Communication, Networking and Data Analytics

This volume contains contributed articles presented in the conference NCICCNDA 2018, organized by the Department of Computer Science and Engineering, GSSS Institute of Engineering and Technology for Women, Mysore, Karnataka (India) on 28th April 2018