Informatics Publishing Limited

Dilip Kumar ¹, S. Maheswaran ²

Affiliations
1 Institute for Financial Management and Research 24, Kothari Road, Nungambakkam Chennai 600034, IN
2 Centre for Advanced Financial Studies Institute for Financial Management and Research 24, Kothari Road, Nungambakkam Chennai 600034, IN

Abstract

This paper evaluates the small sample properties of non-parametric joint rank and sign variance ratio tests to analyze the weak form efficiency in stock prices. It also assesses the size and power properties of the joint rank and sign variance ratio tests for small samples with the application of weighted bootstrap procedure. The results indicate that the weighted bootstrap tests exhibit desirable size properties and substantially higher power than the corresponding conventional rank-based tests. In addition, these tests are applied to examine the market efficiency of three major Asian emerging markets. The findings suggest that the efficiency characteristics of a given market do not remain the same and, in fact, vary over time depending on the major changes happening in the global financial markets. The results also indicate that India and China have become more efficient after the sub-prime crisis.

Keywords

Monte Carlo Experiment, Weighted Bootstrap, Non-parametric Variance Ratio Tests, Return Predictability

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S. Maheswaran ¹, S. S. Dasuru ¹, A. Rama Chandra Murthy ¹, B. Bhuvaneshwari ¹, V. Ramesh Kumar ¹, G. S. Palani ¹, Nagesh R. Iyer ¹, Sarayu Krishnamoorthy ¹, S. Sandhya ²

Affiliations
1 CSIR-Structural Engineering Research Centre, CSIR Campus, Taramani, Chennai 600 113, IN
2 CSIR-National Environmental Engineering Research Institute, CSIR Campus, Taramani, Chennai 600 113, IN

Abstract

This article presents details of the experimental studies carried out on cement mortar using Bacillus cereus and Bacillus pasteurii in different cell concentrations. Test results showed that the addition of bacterial cultures of both species, enhanced the compressive strength of cement mortar due to the bio-mineralization of calcium carbonate in the cement mortar matrix. The test results revealed 38% increase in compressive strength using B. cereus and 29% increase in the case of B. pasteurii over the control cement mortar. The chloride ingress capacity of B. cereus incorporated concrete found through rapid chloride permeability test confirms the reduction of chloride penetration compared to control sample. Characterization studies have been performed to confirm the calcite precipitation through different experimental techniques, viz. X-ray diffraction, scanning electron microscope, thermogravimetric analysis and Fourier transform-infrared spectroscopy.

Keywords

Bacillus cereus, Bacillus pasteurii, Biomineralization, Cement Mortar, Compressive Strength.

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S. Maheswaran ¹, M. Ramya ¹, P. Priyadharshini ¹, P. Sivaranjani ¹

Affiliations
1 Department of ECE, Kongu Engineering College, Perundurai - 638052, Tamil Nadu, IN

Abstract

Objective: This paper discusses about the development of hardware system which can be used to chase the birds from the farm by using an embedded technology. Methods: The system is able to detect and track the pest birds from the real time video frame using Kalman filter. The Kalman filter is a predictive filter, that dependent on space techniques and recursive algorithms using image processing tools in Matlab environment. The various states of operation of a dynamic system are estimated using this algorithm. Applications/Improvements: The proposed system has been simulated in Matlab. It can be extended to a complete the bird frightening system by incorporating the video processing algorithm with hardware such as camera, linux based embedded board and ultrasound generator. The video obtained from the camera is processed using the ARM7 Raspberry Pi board based on linux OS. This system detects the birds from the video and a high frequency ultrasound is generated and directed towards the pest birds to drive them away from the farm.

Keywords

Kalman Filter, Linux Based Embedded Board, Ultrasound Generator.

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