Scientific Hub of Applied Research in Engineering & Information Technology

Experimental Study on Bioremediation of Sago Industry Effluent and its Impact on Seed Germination

2024-08-06T03:50:39-04:00

In this study, there are two investigational systems: one is treatment of sago industry effluent by aerobic bacterial consortium and the other is impact of treated and untreated effluent on seed germination. For the treatment system, the starch degrading bacteria were isolated from sago industry effluent and effluent contaminated soil. The genera, Alcaligenes, Bacillus and Corynebacterium were found efficient in starch degradation. The selected isolates were tested for their efficiency on the degradation of starch both in Mineral Salts Medium (MSM) and in sago industry effluent. About 85% of bacterial consortium composed of Alcaligenes, Bacillus and Corynebacterium, whereas in effluent the degradation of starch was only 63%. The physico-chemical properties such as electrical conductivity, total solids, suspended solids, dissolved solids, BOD, COD, nitrogen and phosphate were found decreased in effluent after 72 h. The pH of the effluent was relatively increased from 3 to 6.7. The study of seed germination (maize and green gram) was carried out at 25, 50, 75 and 100% concentrations of treated and untreated effluent using soil sowing method. Shoot length, root length, fresh weight, dry weight and chlorophyll content showed an increase when treated effluent was tested whereas a decrease of growth was noticed in untreated effluent tested seedlings. The results revealed that effluent treated by aerobic microorganisms has no negative
impact on the seed germination and can be effectively used for irrigation.

Characteristics Improvement by Inclusion of Phosphorous in AL-20SI

2024-04-01T08:22:15-04:00

This study study focused on enhancing the mechanical properties of hypereutectic Al-Si alloys through the addition of phosphorus (P). The research investigated how different levels of phosphorus affected the alloy's microstructure and mechanical characteristics. Results showed that phosphorus effectively refined the coarse primary silicon crystals and modified large needle-like eutectic silicon into finer fibrous or lamellar structures. However, excessive phosphorus had adverse effects on primary silicon refinement. Alloys with 0.02% to 0.03% phosphorus demonstrated optimal grain size and improved mechanical properties compared to unmodified alloys. Specifically, the Vickers hardness decreased from 81 to 57, indicating increased plasticity, strength, and wear resistance.

Detection of DDoS Attacks in Networks Using CRNN

2024-08-15T22:44:39-04:00

The main objective of this paper is to detect DDoS attacks in network through Deep Learning techniques. Distributed Denial of Service (DDoS) imposes possible threats which exhaust the resources to make it unavailable for the legitimate user by violating one of the security components [1]. In the field of DDoS attacks, as in all other areas of cyber security, attackers are increasingly using sophisticated methods [2]. Various machine learning techniques could be used to address the security issues effectively and efficiently. In this paper, we present a new technique for combination of deep learning models that can be used for network traffic. We show that a Recurrent Neural Network (RNN) combined with a Convolutional Neural Network (CNN), CRNN (Convolutional Recurrent Neural Network) model provides best detection results. A complete study is presented on several architectures that integrate a CNN and an RNN, including the impact of the features chosen and the length of the network flows used for training.

Cooling Gas Turbine Blades with Advanced Thermal Management System

2024-08-15T22:51:34-04:00

This project aims to enhance the efficiency of jet engine turbine blades through a novel cooling approach. Traditional methods rely on bleed air to reduce internal temperatures, but this project proposes a combination of liquid evaporation and thermoelectric technology for more efficient cooling. By integrating heat pipes and vapor cooling techniques with thermoelectric heat pumps, the cooling effect on the blades can be significantly increased. In this setup, the thermoelectric material provides cooling for the heat pipe, while the rejected heat is carried away by bleed air. This process effectively lowers the blade temperature, allowing for higher efficiency. The project's validation involves an experimental setup with sensor arrays and a data acquisition system, along with computational fluid dynamics to confirm the results. In simpler terms, the project aims to make jet engine turbine blades cooler by using a combination of liquid cooling and advanced thermoelectric technology. This could potentially lead to higher engine efficiency, as cooler blades can withstand higher inlet temperatures. The project's success is verified through experiments and computer simulations.

Research Publication by the Faculty Members of Periyar University, 1998 to 2021: A Scientometric Assessment

2022-09-08T09:47:19-04:00

This study evaluates and analyses the contributions made by the faculty members of various departments of Periyar University from1998 to 2021. The study was performed based on the data collected from the web of science database with the affiliation of Periyar University and the analysis was preferred using various scientometric indicators such as the growth of publications, To examine the types of documents, the relative growth rate (RGR), doubling time (DT) and research productivity of individual authors, the journal wise publications, the collaborative institutions, keywords, countries of research contributions.