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Sandeep Kumar, S.
- An Experimental Study on E-Waste Concrete
Authors
1 S. K. R. Engineering College, Ponnamalle, Chennai - 600025, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 2 (2016), Pagination:Abstract
Objective: This project deals with the experimental study on E-waste concrete. Methods/Statistical Analysis: An experimental setup is placed the specimens on the loading frame for two pointed loading conditions. Findings: Determined the compressive strength, cube weight comparison, split tensile strength, flexural strength. Applications: Self-weight of concrete reduces when there is rise in E-Waste percentage. Hence it can be consumed as a light weight concrete. The yield of concrete reduces when E-Waste is used as a replacement material for sand. It is coherent that E-waste can be biased by using them as constructional material. The compressive strength and split tensile strength of concrete pertaining to E-Waste aggregate is slightly lesser in comparison with control mix concrete sample.Keywords
Concrete, Compressive Strength, Ecological Pollutant, Electronic Waste (E-Waste), Modulus of Rupture Strength (Flexural Strength), Printed Circuit Board (PCB), Tensile Strength (TS)Full Text
- Secure Cryptosystem For Images Using Chaos Based Confusion And Diffusion Mechanism
Authors
Source
International Journal of Innovative Research and Development, Vol 2, No 5 (2013), Pagination:Abstract
with the fast development of computer technology and the information processing technology, the problem of information security is becoming more and more important. Information hiding is usually used to protect the important information from disclosing when it is transmitting over an insecure channel. Images are routinely used in diverse areas such as medical, military, science, entertainment, advertising, education as well as training. The typical structure of these schemes has the permutation and the diffusion stages performed alternatively. As a result, more overall rounds than necessary are required to achieve a certain level of security. In this paper, we suggest introducing certain diffusion effect in the confusion stage by cyclic shift and XOR operations. The purpose is to reduce the workload of the time consuming diffusion part so that fewer overall rounds and hence a shorter encryption time is needed. Apart from this, one more level of security is provided by using the recent AES algorithm for confusion and diffusion permutations.
Keywords
Confusion, Diffusion, Ergodicity, Permutation, XOR.Full Text
- Data Channel Integration in Hadoop Environments
Authors
1 Department of Computer Applications, Muthayammal College of Arts & Science, Namakkal, Tamilnadu, IN
Source
Data Mining and Knowledge Engineering, Vol 10, No 4 (2018), Pagination: 70-73Abstract
In the field of distributed computing is growing and speedily becoming a natural part of large as well as smaller enterprises IT processes. Driving the progress is the cost efficiency of distributed systems compared to centralized options, the physical limitations of single machinery and reliability concerns. There are frameworks within the field which aims to create a standardized platform to facilitate the progress and implementation of distributed services and applications. Apache Hadoop is one of those papers. Hadoop is a framework for distributed processing and data storage. It contains support for many different modules for different purposes such as Distributed database management, safety, data streaming and processing. In calculation to offering storage much cheaper than traditional centralized relation database, Hadoop chains powerful methods of handling very large amounts of data as it streams through and is stored on the system. These methods are widely used for all kinds of big data dealing out in large IT companies with a need for low-latency, high-throughput processing of the data. More and more companies are looking towards implementing Hadoop in their IT process; one of them is Unomaly, a company which offers agnostic, proactive anomaly detection. The anomaly detection system analyses system logs to detect discrepancies. The anomaly finding system is reliant on large amounts of data to build an exact image of the target system. Integration with Hadoop would result in the possibility to consume incredibly large amounts of data as it is streamed to the Hadoop storage or other parts of the system.
In this degree paper an integration layer application has been developed to allow Hadoop integration with Unomalys system. Research has been conducted throughout the paper in order to determine the best way of implement the integration. The first part of the result of the paper is a PoC application for real time data channel between Hadoop clusters and the Unomaly system. The second part is a recommendation of how the integration should be designed, based on the studies conducted in the paper work.
Keywords
Hadoop, Unomaly, Data, Detecting, Organizations.
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