Parameter optimization of non-traditional machining processes using firefly and non-dominated sorting genetic algorithms 1. Introduction Non-traditional machining (NTM) processes are considered to be one of the most developing advanced methods used in manufacturing industries for machining the complex geometry and intricate profiles. Materials with high precision are the demands of the present days. Materials science has led to the evolution of difficult-to-machine, high-strength temperature-resistant
The current situation of the economic slump in Western countries invites politicians and scholars to look at the past and to draw conclusions from this historical perspective. The period between 1975 and 1995 is interesting because of its similarities with the present modest economic performance. Economic performance can be defined as the achievement of economic objectives such as growth or budgetary stability. The indicators that can be used are varied. This paper mainly focuses on the increase
also important to note that a fuzzy logic can be interfaced with a conventional control (Reznik 1997). Fuzzy Controller In Sugar Mill Japan first started research activities on fuzzy logic. A research institute, Laboratory for International Fuzzy Engineering (LIFE) started functioning in 1993. The Japanese researchers are the leaders in the practical implementation of Fuzzy theory and now have more than 2000 patents in the area. Now fuzzy logic controllers are being increasingly applied in areas where
which the resources are taken from. These developing countries are rich in biodiversity and offer potential for corporations to make money. This is why these countries are a target. These corporations exploit the naturally occurring biological or genetic material, and may place patents that restrict its future use, without paying fair compensation to the community from which it originates. The problem that arises from this is that the communities value their biodiversity. The natural resources are
Overview of Predictive and Descriptive Data Mining Techniques Pradnaya P. Sondwale Abstract – The overall goal of the data mining process is extraction of information from large data sets and transform it into some understandable structure for further uses. It is a process of using different techniques to find useful patterns or models from data. This process of selects, explore and model large amount of data. Data mining can also be used in different areas of our life like social science, psychology
CHAPTER # 1: LITERATURE REVIEW Gardnerj et al (1956) investigated citric acid production by mutants of Aspergillus niger. The strain of Aspergillus niger was improved by X-rays and ultraviolet irradiations and found that as compared to wild, the mutated strain give more yield of citric acid. They concluded that 80 % of the sugar fermented was obtained in aerated culture, whereas only 21 % was obtained with the parent strain. Banik et al