Knowledge Institute of Technology

About: Knowledge Institute of Technology is a based out in . It is known for research contribution in the topics: Wireless sensor network & Encryption. The organization has 178 authors who have published 164 publications receiving 1368 citations.

Power Generation by Hybrid VAWT System for Highway Applications

Abstract: The rapid growth of renewable energy generation is increasing to meet the demand of electricity. In this paper, the generation of electricity is achieved by using vertical axis wind turbine using the force created by moving vehicles. For that purpose wind turbines are placed at the centre of the highway for the generation and utilization. There are two types of axis is available in wind turbines, horizontal and vertical axis. Horizontal axis is commonly used but it is not applicable for highway applications. There are some types of turbines are available in vertical axis. In this paper, two types of turbine blade model is made as hybrid in VAWT (Vertical Axis Wind Turbine) which increases the efficiency in wind energy utilization. Due to this hybrid model, drag and lift are increased and rotate automatically even in low wind speed. The power generated by this VAWT can be utilized for highway applications, and then the excess power will be injected to grid or local area. The power is stored in the battery bank which is placed under the windmill and utilized at the night time for lighting purpose on the highway. Q-Blade software is used to design the blade shape and the efficiency improvement is verified by Q-Blade.

A video analysis on user feedback based recommendation using A-FP hybrid algorithm

Abstract: Video mining is an unsupervised finding of pattern in audio-visual content and also offers the optimized search based on event of interest associated to the target search over the search engine. Video mining is dawn related to other mining. Yet, the objective of existing search is to fetch a specific video from large database. Hence, our proposed goal is to retrieving of user’s requisite video based on an event is the major core problem in video mining. This paper propounds a new feedback relevance based video retrieval uses a hybrid of Apriori and Frequent Pattern (A-FP) algorithm creates a new methodology that gives the design of the learning. The A-FP algorithm desire to elicitation the most frequent item search which is pragmatic to the user. It also affords scalable solution for generalizing efficient and highly ambiguous user expected video search.

Investigation on emission reduction potential of nickel and zinc coated catalytic converters

Abstract: This purpose, zinc and nickel were chosen as the catalytic materials and Calophyllum inophyllum was chosen as the feedstock for biodiesel production. Experimental results proved maximum reduction of hydrocarbon emissions by 14.8%, carbon monoxide emissions by 21.89% and smoke opacity by 13.22% for nickel coated catalytic converter. However, carbon dioxide and nitrogen oxides emission levels increased by 22% and 5.5%, respectively for nickel coated catalytic converter. On the other hand, zinc coated catalytic converter exhibited an increase of all emission levels except nitrogen oxides. The reduction level of nitrogen oxides with zinc coated catalytic converter was observed as 34.2%. Through this work it is revealed that nickel acts as an oxidative catalytic agent and zinc as the reducing catalyst in the catalytic converter.

Corrosion behavior of concrete with partial replacement of cement with Rice Husk Ash

Abstract: Globally concrete is the backbone for the development as infrastructure Viz., buildings, industrial structures, bridges and highways etc. leading to utilization of large quantities of concrete. Sustainable development of the cement and concrete industry requires the utilization of industrial and agricultural waste components. At present, for a variety of reasons, the concrete construction industry is not sustainable. Firstly, it consumes huge quantities of virgin materials which can remain for next generations. Secondly, the principal binder in concrete is Portland cement, the production of which is a major contributor to greenhouse gas emissions that are implicated in global warming and climate change. Thirdly, many concrete structures suffer from lack of durability which may waste the natural resources. So, finding a solution to substitute a practical recycled product for part of the cement seems to be desirable for sustainable development. Recycling of waste components contribute to energy savings in cement production, conservation of natural resources, and protection of the environment. This paper deals with the optimization of replacement of cement with the rice husk ash and the corrosion effect is determined by using accelerated electrolytic corrosion test.