Quantum behaved artificial bee colony based conventional controller for optimum dispatch

Since a multi area system (MAS) is characterized by momentary overshoot, undershoot and intolerable settling time so, neutral copper conductors are replaced by multilayer zigzag graphene nano ribbon (MLGNR) interconnects that are tremendously advantageous to copper interconnects for the future transmission line conductors necessitated for economic and emission dispatch (EED) of electric supply system giving rise to reduced overshoots and settling time and greenhouse effect as well. The recent work includes combinatorial algorithm involving proportional integral and derivative controller and heuristic swarm optimization; we say it as Hybrid- particle swarm optimization (PSO) controller. The modeling of two multi area systems meant for EED is carried out by controlling the conventional proportional integral and derivative (PID) controller regulated and monitored by quantum behaved artificial bee colony (ABC) optimization based PID (QABCOPID) controller in MATLAB/Simulink platform. After the modelling and simulation of QABCOPID controller it is realized that QABCOPID is better as compared to multi span double display (MM), neural network based PID (NNPID), multi objective constriction PSO (MOCPSO) and multi objective PSO (MOPSO). The real power generation fixed by QABCOPID controller is used to estimate the combined cost and emission objectives yielding optimal solution, minimum losses and maximum efficiency of transmission line

Dual objective multiconstraint swarm optimization based advanced economic load dispatch

In electric power system, the vital topic to be mooted is economic load dispatch (ELD). It is a non-linear problem with some unavoidable constraints such as valve point loading and ramp rate constraint. For solving ELD problem distint methods were devised and tried for different electric supply systems yielding slow convergence rates. To achieve fast convergence, dual objective multi constraint swarm optimization based advanced economic load dispatch (DOMSOBAELD) algorithm is proposed making use of simulated values of real power outages of a thermal power plant as initial estimates for PSO technique embedded in it and used for optimizing economic dispatch problem in this article. DOMSOBAELD method was developed in the form of amalgamating fluids. Presence of power line losses, multiple valves in steam turbines, droop constraints and inhibited zones were utilized to optimize the ELD problem as genuinely approximate as possible. The results obtained from DOSOBAELD are compared with particle swarm optimization (PSO), PSOIW and differential particle swarm optimization (DPSO) techniques. It is quite conspicuous that DOMSOBAELD yielded minimum cost values with most favourable values of real unit outputs. Thus the proposed method proves to be advantageous over other heuristic methods and yields best solution for ELD by selecting incremental fuel cost as the decision variable and cost function as fitness function

Multi Objective Directed Bee Colony Optimization for Economic Load Dispatch With Enhanced Power Demand and Valve Point Loading

Earlier economic emission dispatch methods for optimizing emission level comprising carbon monoxide, nitrous oxide and sulpher dioxide in thermal generation, made use of soft computing techniques like fuzzy,neural network,evolutionary programming,differential evolution and particle swarm optimization etc..The above methods incurred comparatively more transmission loss.So looking into the nonlinear load behavior of unbalanced systems following differential load pattern prevalent in tropical countries like India,Pakistan and Bangladesh etc.,the erratic variation of enhanced power demand is of immense importance which is included in this paper vide multi objective directed bee colony optimization with enhanced power demand to optimize transmission losses to a desired level.In the current dissertation making use of multi objective directed bee colony optimization with enhanced power demand technique the emission level versus cost of generation has been displayed vide figure-3 & figure-4 and this result has been compared with other dispatch methods using valve point loading(VPL) and multi objective directed bee colony optimization with & without transmission loss

Spatio-temporal prediction of crimes using network analytic approach

It is quite evident that majority of the population lives in urban area today than in any time of the human history. This trend seems to increase in coming years. A study [5] says that nearly 80.7% of total population in USA stays in urban area. By 2030 nearly 60% of the population in the world will live in or move to cities. With the increase in urban population, it is important to keep an eye on criminal activities. By doing so, governments can enforce intelligent policing systems and hence many government agencies and local authorities have made the crime data publicly available. In this paper, we analyze Chicago city crime data fused with other social information sources using network analytic techniques to predict criminal activity for the next year. We observe that as we add more layers of data which represent different aspects of the society, the quality of prediction is improved. Our prediction models not just predict total number of crimes for the whole Chicago city, rather they predict number of crimes for all types of crimes and for different regions in City of Chicago

MANAGEMENT OF AMAVATA (RHEUMATOID ARTHRITIS) WITH YOGA THERAPY

Amavata may be simulated with Rheumatoid arthritis on the basis of clinical manifestation and pathogenesis. In this clinical study, 43 Amavata (Rheumatoid arthritis) patients were registered from the O.P.D. of the Maharshi Patanjali Institute for Yoga Naturopathy Education and Research, Gujarat Ayurved University, Jamnagar. Among 43, 3 patients discontinued before completion of the treatment. Yoga therapy i.e. Prarthana (Prayer), Sutraneti, Jalaneti, Vaman (kunjal), Kapalbhati, Stretching and Rotations, Asana, Mudra, Pranayam, Relaxation with Dharana, Omkara & Shanti mantra were designed in the treatment of Amavata (Rheumatoid arthritis) patients for three weeks (21 days). The practice was performed on an empty stomach. In the clinical study, 60 % of the participants showed major improvement, 35% minor improvement and 5% no improvement. Complete remission was nil. No complication was found in the clinical study. Maximum participants were women whose age ranged between 30 to 50 years

Challenges and opportunities in 2D heterostructures for electronic and optoelectronic devices

Two-dimensional (2D) materials such as graphene, transition metal dichalcogenides (TMDs), and their heterojunctions are prospective materials for future electronics, optoelectronics, and quantum technologies. Assembling different 2D layers offers unique ways to control optical, electrical, thermal, magnetic, and topological phenomena. Controlled fabrications of electronic grade 2D heterojunctions are of paramount importance. Here, we enlist novel and scalable strategies to fabricate 2D vertical and lateral heterojunctions, consisting of semiconductors, metals, and/or semimetals. Critical issues that need to be addressed are the device-to-device variations, reliability, stability, and performances of 2D heterostructures in electronic and optoelectronic applications. Also, stacking order-dependent formation of moir\ue9 excitons in 2D heterostructures are emerging with exotic physics and new opportunities. Furthermore, the realization of 2D heterojunction-based novel devices, including excitonic and valleytronic transistors, demands more extensive research efforts for real-world applications. We also outline emergent phenomena in 2D heterojunctions central to nanoelectronics, optoelectronics, spintronics, and energy applications

Cold cathode emission studies on topographically modified few layer and single layer MoS2 films

Nanostructured materials, such as carbon nanotubes, are excellent cold cathode emitters. Here, we report comparative field emission (FE) studies on topographically tailored few layer MoS2films consisting of ⟨0001⟩ plane perpendicular (⊥) to c-axis (i.e., edge terminated vertically aligned) along with planar few layer and monolayer (1L) MoS2films. FE measurements exhibited lower turn-on field Eto (defined as required applied electric field to emit current density of 10 μA/cm2) ∼4.5 V/μm and higher current density ∼1 mA/cm2, for edge terminated vertically aligned (ETVA) MoS2films. However, Eto magnitude for planar few layer and 1L MoS2films increased further to 5.7 and 11 V/μm, respectively, with one order decrease in emission current density. The observed differences in emission behavior, particularly for ETVA MoS2 is attributed to the high value of geometrical field enhancement factor (β), found to be ∼1064, resulting from the large confinement of localized electric field at edge exposed nanograins. Emission behavior of planar few layers and 1L MoS2films are explained under a two step emission mechanism. Our studies suggest that with further tailoring the microstructure of ultra thin ETVA MoS2films would result in elegant FE properties

MANAGING CUSTOMER RELATIONSHIPS IN PRIVATE HEALTH CARE FACILITIES - A STUDY WITH REFERENCE TO GREATER NOIDA CITY OF UTTAR PRADESH

Customer relationship management (CRM) which has overriding significance for any business isno less significant for hospital services. Hospitals are most important elements in any health caredelivery system. A hospital plays a major role in maintaining and restoring the health of the people.Care of the sick and injured, preventive health care, health research, and training of medical andparamedical staff are general broad functions of a hospital. It involves to the outpatient and inpatienthospital services and on many occasions emergency medical services. An important resource in ahospital is a human resource. This should be particularly emphasized. This should be particularlyemphasized in the content of a hospital since relationship of medical staff plays important role intreating patients - the hospital customers. In health care, CRM practices are essentially patient -focused strategies that involve effective management of hospital interface and interaction withpatients. Effective CRM practices in a hospital may mean providing services related information toa patient very quickly. Responding to the patent appointment and an admission requests promptly,dealing with patient queries and complaints expeditiously, exercising all kinds of flexibilities inserving patients to the patients. This research paper made an attempt to analyze the factorsinfluencing the customers to select the hospital and to suggest better ways and means to retain thecustomers. For the study, the researcher has collected data from 200 respondents of 10 privatehospitals located in Greater Noida city. For this purpose stratified random sampling method was usedto select the samples. The present study highlights the extent of utilization of the hospital services bythe selected sample respondents. It also shed light on the common problems faced by therespondents. The major features of the service sectors especially on hospital performance is projectedin order to utilize the services as per the expectation of the patients (customer).The collected data were analyzed through percentage, average, range, standard deviation and weighted average. Chi-square test was also employed to find the associationship of overallsatisfaction with different demographic variables. Likert’s scaling technique is used to identify thecustomer preference and satisfaction on hospital services. Henry Garrets ranking method is also usedto judge the ranking especially on the hospital services