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Institution

Kongu Engineering College

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


Papers
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Journal ArticleDOI
TL;DR: The results show that TSABF acts as an alternative scheduling strategy to perform load balancing and also improves the QoS metrics when compared to HBB‐LB.
Abstract: Load balancing in cloud data centers is a process of distributing the incoming service requests or the incoming tasks to the available virtual machines (VMs). This can be achieved by proper scheduling mechanisms through which the tasks will be allocated to suitable VMs. Scheduling in distributed systems, such as cloud data centers, is considered to be an NP‐complete problem. An efficient method of scheduling will result in balancing the load on the VMs, thereby achieving effective resource utilization. Hence, there is a need for a new scheduling framework to perform load balancing amid considering multiple quality of service (QoS) metrics, such as makespan, response time, execution time, and task priority. Therefore, considering the above metrics, task scheduling using artificial bee foraging (TSABF) optimization is proposed to obtain an optimal schedule of tasks to VMs. The resulting optimal schedule consists of a set of VMs to which the tasks are scheduled in a preemptive manner. Task preemption is done to reduce the response and the execution time of the tasks pertaining to different priorities. The experimental results are compared to the existing honey bee behavior‐inspired load balancing (HBB‐LB) algorithm. The results show that TSABF acts as an alternative scheduling strategy to perform load balancing and also improves the QoS metrics when compared to HBB‐LB.

13 citations

Journal ArticleDOI
TL;DR: In this paper, the effect of process parameters on tensile, flexural and impact strength of untreated short sisal fiber-reinforced vinyl ester polymer-based composites was evaluated and analyzed.
Abstract: This work presents a systematic approach to evaluate and study the effect of process parameters on tensile, flexural and impact strength of untreated short sisal fibre-reinforced vinyl ester polymer-based composites and predicts the optimum properties of random natural fibre-reinforced composites. The natural fibre of sisal at lengths of 10, 30 and 50 mm and vinyl ester resin at loadings of 15, 30 and 45 (wt%) were prepared. The composite panel was then fabricated using hand lay method in cold process of size 180×160 mm2. Samples were then cut from the panel and subjected to mechanical properties testing such as tensile, flexural and impact strengths. The average tensile strength ranges between 27·1 and 43·9 MPa. The flexural strength ranged between 26·9 and 49·5 MPa and the impact strength ranged between 16 and 93 J/m. The strength values were optimized using factorial design and genetic algorithm (GA) method. The predicted optimum process parameter values are in good agreement with the experimental results.

13 citations

Journal ArticleDOI
TL;DR: In this article, the maximum attainable temperature of superheating and the critical temperature of cesium, rubidium, and potassium are correlated using the generalized van der Waals equation of state.
Abstract: The maximum attainable temperature of superheating and the critical temperature of cesium, rubidium, and potassium are correlated using the generalized van der Waals equation of state. This study shows that the maximum attainable temperatures of superheating for liquid cesium, rubidium, and potassium are 1722, 1802, and 2039 K, respectively. The results of the determination of the maximum attainable temperatures of superheating of liquid cesium, rubidium, and potassium are in agreement with experimental data. The given study establishes that liquid cesium, rubidium, and potassium can be superheated up to temperatures of about 200 K below their critical temperatures of 1924, 2017, and 2280 K, respectively. Moreover, cesium, rubidium, and potassium have been found to obey the single-parameter law of corresponding states, with the maximum attainable reduced temperature of superheating as the thermodynamic similarity parameter.

13 citations

Journal ArticleDOI
TL;DR: This research work proposes Discrete Wavelet Transform (DWT) which has more advantages than other transforms technique like DCT (Discrete Cosine Transform) because of quality scalability, Interest in region coding, low bit rate transmission which is quickly operating and also it is compatible to Visual System by Human that provides good perception quality.
Abstract: Internet applications are increased and growing at efficient way. By this technological growth, data communication in the internet in secured way has got a challenging task. Transmitting information in network is a great risk. Hacking the data and use those data for their benefits is done by intruders. To control these unwanted acts, steganography is used. It ensures safety of secret message. Invisible communication is a study by Steganography and it denotes with communicating message hiding. Data embedding can make in transform and spatial domain for secret communication, military communication, multimedia (hiding, copyright protection), authentication etc. A best steganography algorithm will have maximum embedding capacity, high fidelity and the good security level. Image Steganography has the robustness and security problem in the existing work. For the defence application, social problems such as terrorists, more number of attacks (cyber) and Geometric attack are caused. To overcome such drawbacks, this research work proposes Discrete Wavelet Transform (DWT) which has more advantages than other transforms technique like DCT (Discrete Cosine Transform). This is because of quality scalability, Interest in region coding, low bit rate transmission which is quickly operating and also it is compatible to Visual System by Human that provides good perception quality. Geometric attack induces synchronization errors between the first image and also the extracted stego image throughout the detection method during which its positions are modified. Image characters are analyzed well by Wavelet Space - frequency property of localization which makes additional strong to the attack such as geometric. This property will enlarge the embedded area and improves the security. Hence DWT results in high imperceptibility and PSNR in range of 30-54 dB.

13 citations

Journal ArticleDOI
01 Aug 2010
TL;DR: In this article, the effect of contamination of lubricant by solid particles on the dynamic behavior of rolling bearings was investigated and the results showed significant variation in the RMS velocity values on varying the contaminant concentration and particle size.
Abstract: Rolling element bearings are common in any rotating machinery. They are subject to failure under continuous running. Therefore they have received a great deal of attention in the field of condition monitoring. In rolling element bearings, contamination of lubricant grease by solid particles is one of the several reasons for an early bearing failure. In this context, this article investigates the effect of contamination of lubricant by solid particles on the dynamic behaviour of rolling bearings. Silica powder at three concentration levels and different particle sizes was used to contaminate the lubricant. Experimental tests have been performed on the ball bearings lubricated with grease, and the trends in the amount of vibration affected by the contamination of the grease were determined. The contaminant concentration as well as the particle size is varied. Vibration signatures were analysed in terms of root mean square (RMS) values. From the results, some fruitful conclusions are made about the bearing performance. The effects of contaminant and the bearing vibration are studied for both good and defective bearings. The results show significant variation in the RMS velocity values on varying the contaminant concentration and particle size.

13 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202221
2021572
2020234
2019121
2018143
2017136