Factual Power Research Articles

Atlantic Blue Marlin, Boops, Chironex Fleckeri, and General Practitioner – Sick Person Optimization Algorithms mization Algorithms

In this paper Atlantic blue marlin (ABM) optimization algorithm, Boops optimization (BO) algorithm, Chironex fleckeri Search Optimization (CSO) algorithm, General practitioner -Sick person (PS) optimization algorithm are applied for solving factual power loss reduction problem. The regular actions of Atlantic blue marlin are emulated to design the Atlantic blue marlin (ABM) optimization algorithm and populace in the examination space is capriciously stimulated. Boops optimization (BO) algorithm is designed by imitating the actions of Boops. Boops possess the obliging stalking physiognomies. As a cluster they stalk the quarry by forming the key and subordinate clusters CSO is based on the drive and search behaviour of Chironex fleckeri. Obviously Chironex fleckeri will exploit the limbs to paralyze the pray by injecting the rancour. In real time world a General practitioner will treat the Sick person with various procedures and it has been imitated to model the Projected PS algorithm. In general people will be inoculated and then with respect to disorder and disease- medical treatment will be given by medicines. Inoculation, medicine and operation are the procedures have been considered as the phases of the projected PS algorithm. Atlantic blue marlin (ABM) optimization algorithm, Boops optimization (BO) algorithm, Chironex fleckeri Search Optimization (CSO) algorithm, General practitioner -Sick person (PS) optimization algorithm validated in IEEE 57, 300 systems and 220 KV network. Factual power loss lessening, power divergence restraining, and power constancy index amplification has been attained.

From uncertainty to the faith’ qualitative leap

Uncertainty refers to that human experience related to ignorance or disagreement about a phenomenon or thing; However, human beings need to submit to uncertainty in order to develop courage, tranquility, certainty and even audacity in their survival. The antipode to uncertainty would be faith, which from theology is the gift of God. Anthropologists equate faith with religion and assert that it is not determined by anything other than itself and, consequently, cannot be reduced to any type of ethnographic explanation. However, faith has an immense capacity to transform the way of being, acting and understanding oneself of human beings. That is, it is an element of profound human transformation with the power to produce factuality. Is the factual power of faith a prize even longed for by human reason?

Hobbes on the power to punish

ABSTRACT Hobbes’s account of the sovereign’s right to punish in Leviathan has led to a longstanding interpretive dispute. The debate is prompted by the fact that, prima facie, Hobbes makes two inconsistent claims: subjects (i) authorize all the acts of the sovereign, and are hence authors of their own punishment, yet (ii) have the liberty to resist such punishment. I argue that attending to Hobbes’s surprisingly neglected account of power yields a novel interpretation of his theory of punishment. Hobbes, it turns out, is working with two conceptions of power: potestas, a juridical power, and potentia, a factual power. Each power grounds one of the ‘inconsistent’ claims above: potestas founds the authorized condemnation by the legal system, and potentia the factual enforced penalty, which is not directly authorized and can be resisted.

Diminution of factual power loss by enhanced bacterial foraging optimization algorithm

Diminution of factual power loss by enhanced bacterial foraging optimization algorithm

Factual Power Loss Lessening by Enhanced Synthetic Biome Optimization and Green Algae Algorithms

In this paper Enhanced Synthetic Biome Optimization (ESBO) and Green Algae algorithm (GAA) is designed to abridge the power loss. Synthetic Biome Optimization (SBO) algorithm is a nature-inspired optimization algorithm, stimulated by the stream of energy in a biome on the world. The biome can be enunciated as a cluster of existing entities living in a certain province and the biome outlines the associations among them. The deprived entity (creator) is rationalized by the upper and low borders of exploration space and the pre-eminent entity (putrefaction). Levy flight applied to augment the exploration and imitate the food probing process of many faunae. In order to augment the convergence characteristics of the SBO algorithm, sine-cosine functions has been incorporated in the technique. This augmentation will stimulate divergent solutions and modifies in the direction of the distinguished prospective solution in ESBO. Proposed GAA approach imitates growing, reproduction deeds of green algae in sunlight. Green algae live in the shape of algal colonies which consist of algal cells. When green algae in least amount of sunlight it will be small size, energy and particularly starvation level will be high, but it will attempt to acclimatize by using adaptation probability in the ambiance where it positioned. Enhanced Synthetic Biome Optimization and GAA appraised in IEEE 57 and 300 bus systems. Assessment with other techniques has been done. Projected ESBO and GAA approaches abridged the power loss meritoriously

Factual Power Loss Diminution by Enhanced Frog Leaping Algorithm

This paper proposes Enhanced Frog Leaping Algorithm (EFLA) to solve the optimal reactive power problem. Frog leaping algorithm (FLA) replicates the procedure of frogs passing though the wetland and foraging deeds. Set of virtual frogs alienated into numerous groups known as “memeplexes”. Frog’s position’s turn out to be closer in every memeplex after few optimization runs and certainly, this crisis direct to premature convergence. In the proposed Enhanced Frog Leaping Algorithm (EFLA) the most excellent frog information is used to augment the local search in each memeplex and initiate to the exploration bound acceleration. To advance the speed of convergence two acceleration factors are introduced in the exploration plan formulation. Proposed Enhanced Frog Leaping Algorithm (EFLA) has been tested in standard IEEE 14,300 bus test system and simulation results show the projected algorithm reduced the real power loss considerably.

Geopolitical Interstices: Social Risk Determinants

The interstice is a space where three or more states, or municipalities, converge, with low: accessibility, development and natural resources; social conflicts and instability. Interstices with conflicts can be identified: bordering, agrarian, socio-environmental; armed groups, drug trafficking and in indigenous regions, among others. This concept has been constructed based on macro ethnographic studies (participant observation) in regions of the Estado de Mexico and la sierra Tarahumara; previous investigations and news of local conflicts. It uses the official cartography, about: social backwardness, poverty, marginalization, indigenous population, human development and criminality. The interstices have economic and geographical conditions, but the political will and responsibility is unavoidable. They seem to be "no man's land" or empty spaces of power, because they do not represent an economic or political interest for the State; on the contrary, they do facilitate the development of capital and factual power groups that evade corrupt laws or regulations and put the population at risk.

Solving Optimal Reactive Power Dispatch Problem by Population Distinction and Pandemic Virus Algorithms

In this paper Noble, Depraved and Abhorrent (NDA) optimization algorithm and United Kingdom B117 Pandemic Virus algorithm (UPA) are applied for solving the power loss lessening problem. Power loss reduction has been done by with and without considering the voltage stability. In both cases power loss reduction has been achieved effectively. In NDA approach population passages in the direction of the noble member and evades the depraved member. Then abhorrent member plays a vital role in modernizing the population. In a perplexing change, the abhorrent member guides the population in circumstances opposite to people crusade. Position of the members in population is modernized in three subsequent segments. In the preliminary segment, population transfers in the direction of the noble member. Then UPA method is based on the idea of hoi polloi protection as a stratagem to battle the B117 COVID-19 coronavirus pandemic. Spreading of B117 COVID-19 variant is more influenced by the infested persons unswervingly come across other public associates. Communal separation is endorsed by health specialists to protect other populaces from the B117 COVID-19 variant infection. Hoi polloi protection progression is the Preliminary augmentation procedure. Rendering to the Fundamental Facsimile rate, the genetic factor unchanged or prejudiced by communal separation. Authenticity of the NDA optimization algorithm and UPA algorithm is substantiated in IEEE 30 bus system (with and without L-index). Factual power loss lessening is reached. Proportion of actual power loss lessening is augmented

Factual Power Loss Reduction by Dynamic Membrane Evolutionary Algorithm

This paper presents Dynamic Membrane Evolutionary Algorithm (DMEA) has been applied to solve optimal reactive power problem. Proposed methodology merges the fusion and division rules of P systems with active membranes and with adaptive differential evolution (ADE), particle swarm optimization (PSO) exploration stratagem. All elementary membranes are amalgamated into one membrane in the computing procedure. Furthermore, integrated membrane are alienated into the elementary membranes 1, 2,_, m . In particle swarm optimization (PSO), (acceleration constants) are vital parameters to augment the exploration ability of PSO in the period of the optimization procedure. In this work, Gaussian probability distribution is initiated to engender the accelerating coefficients of PSO. Proposed Dynamic Membrane Evolutionary Algorithm (DMEA) has been tested in standard IEEE 14, 30, 57,118,300 bus test systems and simulation results show the projected algorithm reduced the real power loss comprehensively.

Factual power loss reduction by enriched black hole algorithm

Factual power loss reduction by enriched black hole algorithm

Factual power loss lessening by synthetic supportive exploration algorithm

In this work an innovative synthetic supportive exploration (SSE) algorithm is utilized for solving optimal reactive power problem. Projected algorithm is based on communication between two simulated fabulous creatures as both of them intermingle and voyage to altered zones to find comprehensive minimum. In a definite zone according to the climate altering conditions amount of food can be found will be varied. Due to this reason, fabulous creatures develop seasonal exodus deeds to find out improved food sources. Earlier to exodus fabulous creatures will divide into subgroups in order to find an improved food source. Coordination of sub-groups will determine the performance of the search. Communication and exploration are the two key deeds of the fabulous creatures. Also, the two fabulous creatures make a decision on the marauder and prey by the sub fabulous creature. Proposed synthetic supportive exploration (SSE) algorithm has been tested in IEEE 14 and 300 bus systems. Real power loss power loss reduction achieved.

Factual power loss reduction by dynamic membrane evolutionary algorithm

<p class="papertitle">This paper presents Dynamic Membrane Evolutionary Algorithm (DMEA) has been applied to solve optimal reactive power problem.Proposed methodology merges the fusion and division rules of P systems with active membranes and with adaptive differential evolution (ADE), particle swarm optimization (PSO) exploration stratagem. All elementary membranes are amalgamated into one membrane in the computing procedure. Furthermore, integrated membrane are alienated into the elementary membranes 1, 2,_ m. In particle swarm optimization (PSO) 𝑪<sub>𝟏</sub>, 𝑪<sub>𝟐</sub> (acceleration constants) are vital parameters to augment the explorationability of PSO in the period ofthe optimization procedure.In this work, Gaussian probability distribution isinitiated to engenderthe accelerating coefficients of PSO.Proposed Dynamic Membrane Evolutionary Algorithm (DMEA) has been tested in standard IEEE 14, 30, 57, 118, 300 bus test systems and simulation results show the projected algorithm reduced the real power loss comprehensively.</p>

Factual power loss lessening by synthetic supportive exploration algorithm

Factual power loss lessening by synthetic supportive exploration algorithm

Factual power loss reduction by enriched black hole algorithm

This paper presents enriched black hole algorithm (EBHA) for solving optimal reactive power problem. In this work black hole algorithm based on membrane computing is projected. In black hole algorithm evolution of the population is through pushing the candidates in the course of the most excellent candidate in iterations and black hole which swap with those in the search space. Membrane computing is also branded as P system and it has multisets of objects with evolution rules in the membrane structure. Membrane structure is alike ingrained tree of section that demarcate the areas, and root is labelled as skin. Chemical substances (multisets of objects) are there inside the section (membranes) of a cell and the chemical reactions (evolution rules) that take place within the cell. Proposed enriched black hole algorithm (EBHA) has been evaluated in IEEE 14,300 bus test system. Loss reduction achieved.

Diminution of factual power loss by enhanced bacterial foraging optimization algorithm

<div data-canvas-width="126.37004132231402">This paper presents an enhanced bacterial foraging optimization (EBFO) algorithm for solving the optimal reactive power problem. Bacterial foraging optimization is based on foraging behaviour of <em>Escherichia coli</em> bacteria which present in the human intestine. Bacteria have inclination to congregate the nutrient-rich areas by an action called as Chemo taxis. The bacterial foraging process consists of four chronological methods i.e. chemo taxis, swarming and reproduction and elimination-dispersal. In this work rotation angle adaptively and incessantly modernized, which augment the diversity of the population and progress the global search capability. The quantum rotation gate is utilized for chemo taxis to modernize the state of chromosome projected EBFO algorithm has been tested in standard IEEE 14,300 bus test system and simulation results show the projected algorithm reduced the real power loss extensively.</div>

Wind Power Integration Peculiarities in the Electricity System of the Baltic States

Analysis of wind power utilization efficiency around the world and Europe has revealed the gap between feasible and factual power generation. The paper presents an investigation of wind power generation dynamics, penetration levels into the electricity system, and dependence of capacity factors on the hub height and the rotor diameter of wind turbines in the Baltic States. These factors are the main for the evaluation of wind power utilization efficiency. Wind power penetration levels show that possibilities of the energy system to accept more wind power installations in the Baltic States are far away from its limit. Besides, dependence of high wind turbines capacity factors’ on the hub height and the rotor diameter in the range of 20–120 m was revealed.

Factual Power Loss Diminution by Enriched Artificial Fish Swarm Algorithm

Factual Power Loss Diminution by Enriched Artificial Fish Swarm Algorithm

Factual power loss reduction by augmented monkey optimization algorithm

This paper presents Augmented Monkey Optimization Algorithm (AMOA) applied to solve optimal reactive power problem. Communal behaviour of monkeys has been utilized to model the algorithm. Normally, group monkeys assess the distance from the source to food for foraging behaviour. Local leader renews its most excellent location inside the group, when the food source is not rationalized then the group will start probing in different directions for the food sources. Two most important control parameters are Global Leader Limit (GLlimit) and Local Leader Limit (LLlimit) which give appropriate way to global and local leaders correspondingly. Levy flight has been intermingled in the algorithm to enhance the search ability. Proposed AMOA accelerates the exploitation ability that has been tested in standard IEEE 14, 30, 57,118,300 bus test systems. The simulation results show the projected algorithm reduced the real power loss comprehensively.

Wind Turbine Power Curve Exponential Model with Differentiable Cut-in and Cut-out Parts

Background. The main characteristic of a wind turbine is its power curve. Getting measurement data off powerful wind turbines is a way harder than measuring characteristics of wind turbines for individual/home use. A yet significant gap is that all wind turbines have a few similarities in their power curves but they do not have a formalized description, which could help in selecting better turbines fitting specific areas (without precise measurements in a vicinity of cut-in and cut-out speeds).Objective. As there is a straight lack of mathematical description of wind turbine power curves, the goal is to obtain a model of such curves.Methods. A power curve is of seven parts. Factual power curves remotely remind trapezia with curvilinear flanks. Because of inertia, the curvilinearity is severer for those wind turbines whose output power is greater. As blades of industrial wind turbines are too massive, their inertia makes those lag effects, that could be modeled by using natural smoothness of power curves. For describing that smoothness along with the curvilinearity, we use two increasing and two decreasing exponential functions for the flanks.Results. A wind turbine power output function consists of two zero parts, one rated-out part, and the suggested four exponential parts. The cut-in parts are described with two increasing exponential functions whose exponential growth factors are equal. The cut-out parts are described with two decreasing exponential functions whose exponential decrease factors are equal also. Such equal factors ensure strong differentiability of the power curve within those parts.Conclusions. The exponential model is for a general description of the wind turbine power curve. Having differentiable cut-in and cut-out parts, it suggests the “natural smoothing” that happens in reality due to highly-inertial wind turbine blades. The model is not necessarily to be used to fit some experimental data, but rather for patterning power curves.

“Nothing is but what is not.” Performing constatives in Shakespeare’s drama

Abstract - Recent studies in historical pragmatics have focused on the performative language of Renaissance, drawing on J. L. Austin’s distinction between “constative” and “performative” utterances; the former refers to assertions that can be classified as true or false and the latter to the factual power of doing something rather than describing it. This model may prove particularly fruitful if applied to drama, and in particular to Shakespeare’s plays, for it provides a critical frame to examine to what extent language is involved in changes concerning the axiology of truth and falsehood. In this paper, I will focus on three case-situations taken from As you like it , Macbeth and The Taming of the Shrew , in order to demonstrate how a certain rhetoric of mendacity derives from the exploration of an emergent new semiosis and is performed in Shakespeare’s plays through the confusion and inversion of the two pragmatic categories.