Kongu Engineering College

About: Kongu Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Cluster analysis. The organization has 2001 authors who have published 1978 publications receiving 16923 citations.

Performance Evaluation of Energy and Delay Aware Quality of Service (QoS) Routing Protocols in Mobile Adhoc Networks

Abstract: Mobile adhoc network (MANET) is a collection of mobile devices which form a communication network with no pre-existing wiring or infrastructure. Multiple routing protocols have been developed for MANETs. As MANETs gain popularity, their need to support real time applications is growing as well. Quality of service(QoS) provisioning is becoming a critical issue in designing mobile adhoc networks due to the necessity of providing multimedia applications.These applications have stringent QoS requirements such as throughput, end-to-end delay, and energy. Due to dynamic topology and bandwidth constraint supporting QoS is a challenging task. QoS aware routing is an important building block for QoS support. The primary goal of the QoS aware protocol is to determine the path from source to destination that satisfies the QoS requirements. This article proposes a new energy and delay aware protocols called, energy and delay aware Adhoc On demand Distance Vector Routing (EDAODV) and energy and delay aware Dynamic Source Routing(EDDSR) based on extension of AODV and DSR. Simulation results show that the proposed protocols have a better performance than AODV and DSR in terms of energy, packet delivery ratio and end-to-end delay. Chapter 2.8 Performance Evaluation of Energy and Delay Aware Quality of Service (QoS) Routing Protocols in Mobile Adhoc Networks

A review of artificial intelligence-based optimization techniques for the sizing of integrated renewable energy systems in smart cities

Abstract: In the Smart City, the Integrated Renewable Energy System (IRES) is playing a crucial role. Integrating the available renewable energy sources is useful in solving energy supply and demand-related ...

An integration of k-means clustering and naïve bayes classifier for Intrusion Detection

Abstract: Static security mechanisms such as firewalls can provide a reasonable level of security, but dynamic mechanisms like Intrusion Detection Systems (IDSs) should also be used. Different intrusion detection techniques can be employed to search for attack patterns in the observed data. Misuse detection and anomaly detection are the most commonly used techniques. But they have their own disadvantages. To overcome those issues, hybrid methods are used. Hybrid classifiers are able to provide improved accuracy, but have a complex structure and high computational cost. Hence a new hybrid learning method, that integrates k-means clustering and naive bayes classification, has been introduced. A relation between the distances from each data sample to a number of centroids found by a clustering algorithm is introduced. This is used to form new features, based on the features of the original data set. These distance sum-based features are then used for classifier training and detection.

Design of a Novel Boomerang Trajectory for Sliding Mode Controller

Abstract: Sliding Mode Controllers (SMC) is widely known for its robustness and controllability for a non-linear system during transient conditions. The main advantage of SMC is that of sliding a control variable along the trajectory and converges to zero or nearest to zero and make the system to attain a stable condition. Various methodologies and approaches like discontinuous controllers, second-order sliding modes, twisting algorithms, etc. are available for the SMC implementation. However, every algorithm is facing the problem of convergence and error tracking in a finite amount of time. The primary purpose of this paper is to formulate and design an SMC with a new trajectory which overcomes the drawback of the existing methodologies. This paper proposes a novel boomerang trajectory, which omits the reaching phase and follows a semi-elliptical and semi-circular path for a quick convergence. SMC with boomerang trajectory is analyzed for its stability at transient conditions, and the results show significant improvement in terms of convergence time when compared to the existing trajectories and also it is asymptotically stable. The entire system is simulated in Matlab / Simulink and the same prototypical setup has been designed, and implemented for evaluation purpose using dSPACE-MicroLabBox-ACE-DS1202 platform.

Production of L-glutamic Acid with Corynebacterium glutamicum (NCIM 2168) and Pseudomonas reptilivora (NCIM 2598): A Study on Immobilization and Reusability

Abstract: Background: L-glutamic acid is one of the major amino acids that is present in a wide variety of foods. It is mainly used as a food additive and flavor enhancer in the form of sodium salt. Corynebacterium glutamicum (C. glutamicum) is one of the major organisms widely used for glutamic acid production. Methods: The study was dealing with immobilization of C. glutamicum and mixed culture of C. glutamicum and Pseudomonas reptilivora (P. reptilivora) for L-glutamic acid production using submerged fermentation. 2, 3 and 5% sodium alginate concentrations were used for production and reusability of immobilized cells for 5 more trials. Results: The results revealed that 2% sodium alginate concentration produced the highest yield (13.026±0.247 g/l by C. glutamicum and 16.026±0.475 g/l by mixed immobilized culture). Moreover, reusability of immobilized cells was evaluated in 2% concentration with 5 more trials. However, when the number of cycles increased, the production of L-glutamic acid decreased. Conclusion: Production of glutamic acid using optimized medium minimizes the time needed for designing the medium composition. It also minimizes external contamination. Glutamic acid production gradually decreased due to multiple uses of beads and consequently it reduces the shelf life.