Gasoline and Diesel are basic in liquid form which are extensively used in the world from last century. Presently in India, 10 percent ethanol blending with gasoline is mandatory by the Government of India and from the year of 2017, it will be 20 percent. It has been found that ethanol is a good replacement of gasoline but is has some disadvantages. Due to its hygroscopic nature, ethanol damages the internal part to the engine. It affects the metallic as well as non-metallic part of the engine. For overcoming this problem an effort has been made in this study by using butanol as an additive with ethanol gasoline blends because butanol is not hygroscopic in nature and does not rust the internal parts of the engines. In this study, performance and emission characteristics of a multi cylinder spark ignition engine has been evaluated on ethanol gasoline blend with or without butanol addition. Ethanol was added with gasoline in three different volumetric ratio as 10,20 and 30 percent . Butanol was added in the volumetric ratios of 2.5,5,7.5 and 10 percent with ethanol gasoline and gasoline. Performance parameters of the engine such as bsfc. BTE, BSEC and EGT have been observed. Overall, additive blends have performed well and found suitable without any hardware modification of the engine.
Network security is of primary concerned now days for large organizations. The intrusion detection systems (IDS) are becoming indispensable for effective protection against attacks that are constantly changing in magnitude and complexity. With data integrity, confidentiality and availability, they must be reliable, easy to manage and with low maintenance cost. Various modifications are being applied to IDS regularly to detect new attacks and handle them. This paper proposes a fuzzy genetic algorithm (FGA) for intrusion detection. The FGA system is a fuzzy classifier, whose knowledge base is modelled as a fuzzy rule such as “if-then” and improved by a genetic algorithm. The reasons for introducing fuzzy logic is twofold, the first being the involvement of many quantitative features where there is no separation between normal operations and anomalies. Thus fuzzy association rules can be mined to find the abstract correlation among different security features. The method is tested on the benchmark KDD’99 intrusion dataset and compared with other existing techniques available in the literature. The results are encouraging and demonstrate the benefits of the proposed approach.
With the widely use of Linux systems in the simulation field, improving the performance of Linux to make it compatible with the real-time simulation operating system is becoming an attractive direction of research. Linux-based simulation platform as Linux operating system is free and open source, and it can be tailored and customized, also, it has the characters of comprehensive network function, stability and safety. Although Linux has many incomparable advantages over windows, the fact that the installation of Linux is less convenient than windows, interface is less friendly, configuration is easier, software support is less plentiful, and so on. These characters Increase the difficulty of the simulation based on the Linux platform. Therefore, It’s meaningful to build a semi-structurally simulated platform that use windows as the host machine to develop, compile, debug and monitor, Linux as target machine to implement simulation program.
Alternate automotive fuels are currently an important issue all over the world due to the efforts on reducing global warming which is contributed by the combustion of petroleum or petrol diesel. Biodiesel is non-toxic, biodegradable, produced from renewable sources and contributes a minimal amount of net green house gases, such as CO2, SO2 and NO emissions to the atmosphere. With its suitability as a replacement fuel for existing compression ignition engines, it becomes interesting to know performance of a dedicated CI engine with biodiesel fuel. In this paper the performance of I C engine is studied.
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