Online ISSN: 2515-8260

Keywords : Optimization


An Approach for Solving FuzzyTransportation Problemusing Ranking function

P.Sagaya Leeli; S.Jone Jayashree; J. Beny

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 11, Pages 5863-5870

 In this paper we shall study fuzzy transportation problem, and we introduce an approach for solving a wide range of such problem by using a method which apply it for ranking of the fuzzy numbers. Some of the quantities in a fuzzy transportation problem may be fuzzy or crisp quantities In many fuzzy decision problems, the quantities are represented in terms of fuzzy numbers Fuzzy numbers may , triangular or trapezoidal or any LR fuzzy number. Thus,some fuzzy numbers are not directly comparable. First, we transform the fuzzy quantities as the cost, coefficients, supply and demands, in to crisp quantities by using our method and then by using the classical algorithms we solve and obtain the solution of the problem. The new method is a systematic procedure, easy to apply and can be utilized for all types of transportation problem whether maximize or minimize objective function.At the end, this method is illustrated with a numerical example

Ultra-Secure Secret Communication by Crypto Stegano Techniques for Defence Applications

ASHISH SHARMA; NARENDRA MOHAN

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 376-384

This research paper proposes the communication devices in defence sectors shares secret information dynamically and it is vulnerable to hackers as they steal, corrupt or destroy the data. Though existing system uses different cryptographic techniques, yet suffers from various cyber-attacks. In order to communicate secretly, we propose novel optimized crypto stegano system with the cryptographic process implemented by Elgamal cryptosystem with secure key exchange, then steganographic process using quantum LSB image steganography by hiding the encrypted data into the randomly chosen image, also cover image is optimized using eagle strategy particle swarm optimization algorithm for high embedded efficiency. Then the data embedded in image is retrieved using steganographic retrieval technique and it is decrypted at receiver by Elgamal decryption using private key. Based on results, various parameters such as MSE, PSNR, embedded efficiency and carrier capacity are calculated and related with existing methods, thereby higher performance metrics are achieved in our proposed work.

Advancements in Materials and Parametric Optimization of Fused Deposition Modeling process

Shahbaz Juneja; Raman Kumar; Jasgurpreet Singh Chohan

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 7, Pages 4592-4599

Additive Manufacturing has brought a paradigm shift in manufacturing trends
in terms of material flexibility, accuracy, lead time and product cost. There are myriad of
additive manufacturing technologies which are commercially available but Fused
Deposition Modeling (FDM) has outclassed others due to its unique capabilities. The paper
aims to present the critical analysis of materials, applications and recent advancements in
the area of FDM. The inception of additive manufacturing processes along with their
aggressive development in field of new product development and customized parts is also
highlighted. A detailed literature survey has been carried out to chalk out various materials
and advantages of FDM. An analysis using VOSviewer software has been carried to
highlight the major areas where an intensive research has been performed. It has been
noticed that limited research has been performed on development of functionally graded
material. Moreover, the effect of temperature on different additive manufacturing
processes must explored in future.

Technical Assessment Of A Photovoltaic Panel And A Wind Domestic Turbine Systems In Morocco

A. Serbouti; M. Rattal; A. Boulal; E. Oualim; Az. Mouhsen

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 443-452

This paper presents a general methodology of optimizing the energy performance of a photovoltaic panel in five different cities in Morocco, by varying its slope and azimuth. A domestic wind turbine is also studied in Casablanca. For the same capacity, simulations in TRNSYS software prove that photovoltaic panels have a better yield than the domestic wind turbines. These wind generators can be coupled with the photovoltaic system in order to lessen the intermittence of the photovoltaic production at night and during short cloudy days.

Tashkent state technical university (Uzbekistan)

Anvar Vosilovich Kabulov; Ibrokhimali Holmamatovich Normatov; Anvar Abduvokhidovich Karimov; Erkin Ravshanovich Navruzov

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 2, Pages 758-771

The algorithm for constructing control models of complex systems should be based on the hypothesis that the research and control processes of complex systems are subject to a single technology. A comprehensive study of objects is needed, starting with preliminary study, obtaining adequate models, process algorithms, and ending with the creation of effective control systems. Therefore, the algorithmization of control processes using modern computer technology requires not only improved management at all levels, but also the creation of new effective methods for the rational and adequate description of objects of research, optimization and construction of a control algorithm. The general scheme of such an algorithmic approach is described below. In this paper, we give methods and models of algorithms that are of particular importance in the automation of all stages of system research and the construction of control algorithms. From this point of view, the research process of various objects should be divided into seven consecutive stages, which are a cybernetic chain with feedback. The paper also gives a formalized standard description based on function tables, an algorithmic method for solving the problems of managing complex systems based on algebra over function tables, and methods for synthesizing workplace complexes using production systems as an example.

Optimization Of Land Resources Through Forages Development

Taufan Purwokusumaning Daru; Hamdi Mayulu

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 7, Pages 5000-5013

The development of the livestock industry can be realized through the optimization of natural resources such as soil and vegetation that grows on it (forage, and legumes). Forage roles as animal feed, as well as land conservation plants, while leguminosae can improve soil nutrient elements. Changes in land use become a limiting factor in the availability of forage, giving and lack of animal feed. Optimization of land resources can be done through the use of marginal land, post-mining and watershed as an alternative to the development of forage. Appropriate land management according to the type of land which supported by technology has implications to the increasing of forages productivity and sustainability of land resources utilization in the long term as well as preserving the environment

Multi Response Optimization In Cold Metal Transfer Welding

A. Sirisha Bhadrakali; K. L. Narayana; T. Ram Prabhu

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 6, Pages 2925-2936

For single response process parameter optimization, Taguchi analysis is used. By varying the settings, the user may obtain variable results that always depend on selected data parameters. Hence optimization of multi responses and their characteristics is the solution. Mechanical properties and their improvements are critical for Cold Metal Transfer Welding. In this paper, a multi-response objective optimization process, the DEAR approach is proposed for Stainless steel welding using the CMT process. Various process parameters for this type of welding are, Nozzle to tip distance is varied to test the multiple responses like Tensile test, Surface Roughness. Taguchi L8 Orthogonal Array was picked up to acquit the experiment. Various parameters were optimized for the butt- welded specimens by decided approach and each process parameter, and its percentage contribution in the outcome was identified.