International Journals of Multidisciplinary
Research Academy (IJMRA)

Abstract:
The fixed charge problem is an important application of the class of mixed integer programming problems, which form the basis of many business and industry problems wherein a charge is associated with performing an activity at a nonzero level which does not depend on the level of the activity. The fixed charge can also be expressed as the set up time of getting a machine into service or the fixed elapsed time before a certain operation can commence. The fixed charge problem has been widely applied in many decision-making and optimization problems like the warehouse or plant location decisions, wherein there is a charge associated with opening the facility; and in transportation problems where there are fixed charges for transporting goods between supply points and demand points. Now a day different approach is available for find solution of fixed charge multi-objective transportation problem. In this paper we suggest grey situation decision making theory based method using membership function for find efficient solution of fixed charge multi-objective transportation problem with help of numerical example, the proposed method is illustrated.
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Abstract:
In this paper finite element method is used to carry out structural dynamic analysis of non-rotating modes of a Cantilever beam. Strain and kinetic energy expressions are derived step by step. Finite element model of the non-rotating cantilever beam is formulated and then analyzed to produce modal response model of the beam. The 2-D beam or beam element is developed with the aid of the first theorem of Castigliano. The use of Castigliano’s first theorem is for the distinct purpose of introducing the concept of minimum potential energy without resort to the higher mathematic principles of the calculus of variations. The displacement function is discretized to obtain the stiffness matrix and mass matrix for a beam element. The mass matrix, stiffness matrix and force vector are combine to obtain the finite element equations of motion for a beam element. The beam is divided into ten beam element and the summation of the mass matrix and stiffness matrix of each beam element gives the assembled mass matrix and stiffness matrix. Modal analysis of the beam element is carried out to obtain the natural frequencies and mode shapes of the beam element. The results of the finite element model of the non-rotating cantilever beam are validated with the results of NISA 11 packet program
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Abstract:
Today, the world is going to explore new technologies. However, today’s technology is to laugh at tomorrow. As a part of it an energy conversation system is ever green latest trends due to globalization. No matter how much new skills are always in demand for low cost items. In this paper, an energy convertor is designed and manufacturedto convert mechanical energy into electrical energy at reasonable cost. The device consists of mechanical chain drives run by power motor used for some particular purpose. A specialized Magnetis attached to the disc at one side of crank shaft and a copper coil is placed exactlyparallel to the disc half-inch distance and entire setup encapsulated in a frame. A general motor bike rechargeable battery has been used to store the electrical energy. During crank rotation with magnetic an induced current opposes the copper coil generates eddy-current and electrical energy. Finally the whole process is examined and tested to be the best of it.
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Abstract:
In the present scenario, the role of climate change towards nominal sustainable development through viable strategies must be aware of the improve the performance of all the thermal related devices and components in particular. In this context, a detailed investigation is carried out for predicting the impact of climate change on thermal power plants to the maximum possible extend, by accommodating the approaches of two phase heat transfers, role of P-type and N-type semiconductors, compressible and incompressible fluid flow, environmental chemistry and ecological dynamics including reactor design with product yield. However, the massive growth of numbers, sizes and diversity of industrial plants, effluents and waste water requires a modern-approach-one that has flexibility, speed and versatility to match the growing demands for high quality system. On the other hand, a new approach must have a sound theoretical foundation that lays a firm background for further analysis and computer aided design, the later being the main feature of modern industry. Basically environmental issues in its greatest context, is the science of complex interactions that occur amongst the terrestrial, atmospheric, aquatic, living and anthropological systems that composes the earth and surroundings, that may affect the living things and organisms as well. Therefore, it is necessary to predict the importance of environmental fake and transport towards well
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Abstract:
This paper presents two real time non-linear programming models according to two special oversaturation conditions to minimize the aggregate delay time of vehicles and the number of vehicles at each lane by minimizing the total number of vehicles at the signalized intersection. These models are developed under time varying incoming flow rates of vehicles. The most important factor of traffic signal control is the number of vehicles in a queue at the lanes of intersection. The initial number of vehicles at each lane at the intersection is counted by a camera which is the most accurate method. The modelsare developed to minimize the number of vehicles from cycle to cycle. These proposed models include inter green signal time which is one of the key factors compared to other existing models proposed in the past research. These models also incorporate restrictions for upper bound for green signal time allocation which leads to accurate and appropriate allocation for green signal time. The lower bound of green signal time is attained by oversaturation conditions of the models. The proposed models are solved by the interior point algorithm method coded in MATLAB environment.
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Abstract:
In the present paper we will discuss Bernstein’s classical theorem for a polynomial F of degree m, max ( ) max ( ) 1 1 F t m F t z  z    . We will give some related results for a polynomial F holds the conditions (0) (0) ... (0) 0 ( 1)       m F F F and F(t)  0 for t  l, where l 1 . We will give inequalities valid for 0  r  .
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Abstract:
The generation of an efficient algorithm for easy understanding of machining features in a CAPP is much difficult. A simple logic is always needed for complex machining features. The CAPPS module contains feature extraction; feature recognition and machining process planning for each and every hole are discussed. In this paper a framework has been engendered for the integration efficient setup sequencing for machining of 2.5 Dimension prismatic parts considering each and every hole as a feature. An efficient algorithm has been developed to easy understanding the task. These algorithms can be applied for automated process planning of2.5D parts irrespective of the nature of fixture used. In addition, an improved version of CNC has been presented along with J2EE software programme. The algorithms have been implemented as part of a feature-based CAD/CAM environment, G and M codes have been generated for a selected model and simulation for entire operations also presented. The cutting tools, machining parameters, setups and fixture configurations evaluated. Finally, the rationality of the process has been verified by experiment considering a wooden block of specified dimension and results have been discussed
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Abstract:
In this paper, we are discussed the virus spread in an intuitionistic fuzzy network and we defined the infection rate, curing rate and the sharp epidemic threshold of the virus spread in an intuitionistic fuzzy network and we illustrate these concepts with example.
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Abstract:
In this paper we have introduced intuitionistic fuzzy 𝜋𝑔𝛾* continuous mappings and intuitionistic fuzzy 𝜋𝑔𝛾* irresolute mappings. Some of their properties are studied.
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Abstract:
Providing scalable and efficient routing services in underwater sensor networks (UWSNs) is very challenging due to the unique characteristics of UWSNs. Firstly, UWSNs often employ acoustic channels for communications because radio signals do not work well in water. Compared with radio-frequency channels, acoustic channels feature much lower bandwidths and several orders of magnitudes longer propagation delays. Secondly, UWSNs usually have very dynamic topology as sensors move passively with water currents. Some routing protocols have been proposed to address the challenging problem in UWSNs. However, most of them assume that the full-dimensional location information of all sensor nodes in a network is known in prior through a localization process, which is yet another challenging issue to be solved in UWSNs. In this paper, Directional Vector Forward Focused beam routing (DVFBR) is proposed for UWSN, where performance is compared with previous protocols. Routing in UWSN will become more dynamic with this new protocol. Later on performance of newly derived protocol found significantly efficient.
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Abstract:
Generally, it is predicted that fluidized beds are used to have better performance in terms of combustion chemistry and reasonable chemical kinetics for the combustion process in order to satisfy the requirements of reliable quantity of fuel along with its favouring resistance for any application with less environmental pollution. In this contact, a modest attempt has been made for modeling, bubbling fluidized bed for representing hydrodynamic type of flow in term of material balance for gases and solids towards sustainable development by holding very less environmental pollution. The formation of “phthalic anhydride ’’ is highly exothermic, and even with the most careful design, the heat removal from packed bed reactors can become unchangeable, leading to temperature runaways, melts downs and even explosions. The invention of the fluidized bed with its suspended and rapidly mixing solids completely overcomes this critical situation. This is because, the rapid mixing of solids, and the large heat sink as solids will only allow the bed temperature to change very slowly and it can be easily controlled. Another critical situation in this contact is that, catalyst formulation has been very successful in creating better and better catalyst, these that give higher and higher rates of reaction. The catalyst volumetric efficiency is usually kept with “Thiele modulus” and it is noticed that by using smaller and smaller particles, as overall reaction rate constant is made higher and higher. This leads to use suspended solids and also it is noted that with these very
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Abstract:
India is a Agricultural country, where Banana cultivation is in practice in large part of country. After removal of fruits the entire plant become a waste material causing pollution in burning of dried Biomass. The banana Biomass contains 90% water and 10% of cellulose and protein component. This Biomass can be used for production of Biogas by anaerobic termination. Bacteria present in semi digested Bio-mass reportedly grow in numbers specially during Bio methanation process, being longer in duration of time. The growth of bacteria depends on Environmental factor and also on genetic constitution of bacteria. Immortality of bacteria largely depends upon temperature. A very high temp. above 600 c caused gradual death of Bacteria.
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Abstract:
The order over cloud computing infrastructure is expanding with the developing requests of IT infrastructure during the changed business situation of the 21st Century. The different requirements and limitations like worker capacity, stockpiling, transfer speed and power, present constant difficulties on datacenters. The development of customary infrastructure according to the developing interest faces a continuous imperative fundamentally to many bother and inflexibilities. These complexities drive towards different issues like costing, sending dangers and different risk relating to the activity. Organizations put together or tasks with respect to enormous scope IT infrastructure need to confront these difficulties going with in not so distant future. Consequently, for cost adequacy and economy arrangements, there is a huge movement towards the cloud infrastructure. In this manner, the public cloud service suppliers need to advance and foster their infrastructure to address the difficulties of the expanding request in the IT dependent society.
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Abstract:
Partial differential equations in the physical domain Xn can be solved on a structured numerical grid obtained by mapping a reference grid in the logical region Ξn into Xn with a coordinate transformation x(ξ) : Ξn → Xn. The structured grid concept also gives an alternative way to obtain a numerical solution to a partial differential equation, by solving the transformed equation with respect to the new independent variables ξi on the reference grid in the logical domain Ξn. Some notions and relations concerning the coordinate transformations yielding structured grids are discussed in this chapter. These notions and relations are used to represent some conservation-law equations in the new logical coordinates in a convenient form. This article highlights the numerical solution of partial differential equations.
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Abstract:
The main purpose of this research is to examine how earthquake risk prediction might be improved by using machine learning. Seismological machine learning has experienced a dramatic increase in the last five years. Workflows for monitoring earthquakes include detection, measuring arrival time, associating phases, determining location, and characterizing [1]. Machine-learning techniques have made remarkable progress on all of these tasks. Big, labelled data sets, typically publicly accessible and built up over decades of committed labour by trained analysts, have made them ideal targets for learning algorithms in seismic interpretation. Complex supervised models need this component. Researchers have made significant progress in analysing the intricacies of earthquakes long after the quakes have happened, and machine-learning algorithms are ready to be used in operational mode. In the near future, we'll have new earthquake catalogs with a lot more information [1]. More comprehensive catalogs often include at least a tenfold increase in the number of earthquakes and give a more detailed picture of active faults
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Abstract:
In response to growing environmental shame, consumer demand has shifted toward cleaner, more efficient electric automobiles. Fuel cell vehicles, hybrid electric vehicles, and autos powered by nonconventional energy sources have all advanced thanks to a focus on reducing pollution. More benefits, including lower emissions of carbon dioxide, are associated with the use of Hybrid Electric Vehicles (HEVs), which are powered by a mix of two or more energy sources. As the electric car accelerates, the drive motor's mechanical energy supplements the driving power from the internal combustion engine. Electric and hybrid electric vehicles (EVs and HEVs) include a regenerative braking system, which restores electrical energy during deceleration or braking. The effectiveness of a HEV is based on the power unit's ability to restore electrical power during braking/ideal running, to reduce electrical power and gasoline consumption, to generate the torque required by the driveline, and to counteract the ideal operation of the internal combustion engine and drive motors. Researchers have displayed a wide variety of EV and HEV topologies, each with the goal of improving the vehicle's environmental performance and lowering its operating costs.
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Abstract:
In this paper, we have identified the basic concepts of game theory by taking problem in the reliability field by which we define game taking mixed strategy using simplex method
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