Informatics Publishing Limited

P. Vinoth Kumar ¹, Ch. Sudheer Kumar ², V. Veera Thamarai Selvi ¹, A. Amala Bricey ³

Affiliations
1 Department of Biotechnology, J.J college of Arts and Science, Pudukottai, IN
2 School of Life Sciences, Department of Biotechnology, University College of Engineering, JNTU, Kakinada, Andhra Pradesh, IN
3 Department of Biotechnology, Bharathidasan University, Trichy, IN

Abstract

The present study was undertaken to examine the inhibitory effect of the Pergularia daemia on cadmium chloride induced hepatoprotective activity in liver. In rats injected with cadmium chloride, the activities of aspartate aminotransferase (AST), alanine aminotransferase (ALT), lactate dehydrogenase (LDH), γ-glutamyl transferase (GGT) was significantly (p < 0.05) increased when compared to those values in control rats. The rats administrated with P. daemia extract and cadmium chloride showed a significantly (p < 0.05) decreased levels of serum AST, ALP, LDH and GGT. This study suggested that P. daemia may be implicated as a hepatoprotective agent for therapeutic purposes.

Keywords

Cadmium Chloride, Hepatoprotective Activity, Pergularia daemia.

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P. Vinoth Kumar ¹, B. Chandra Mohan ²

Affiliations
1 IT Veltech Dr.RR & Dr.SR Technical University, Avadi, Chennai, IN
2 LCR College of Engineering and Technology, Tiruvallur, IN

Abstract

Maximizing the network throughput while providing fairness is one of the key challenges in the upcoming Mesh based Wireless Network (MBWN). Unbalanced load in the access point (AP) of infrastructure based MBWN is a critical factor that affects QoS. In order to provide QoS, it is mandatory that the load of APs is balanced. Recent studies on operational MBWN, however, have shown that AP load is often substantially uneven. To optimize such imbalance of load, several load balancing methods have been proposed. These schemes commonly require proprietary software or hardware at the user side for controlling the user-AP association. In this paper we present a new load balancing technique by controlling the size of MBWN cluster (i.e., AP‟s coverage range). The proposed scheme does not require any modification to the users neither the IEEE 802.11 standard. It only requires the ability of dynamically changing the transmission power of the AP beacon messages. We proposed optimal beacon power settings which minimize the load of the most congested AP without disturbing the nodes of the cluster. Simulation results show that the performance of the proposed method is comparable with or superior to the best existing association-based methods.

Keywords

Fairness, IEEE 802.11 Network, Load Balancing, Load Optimization.

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M. Ezhilarasan ¹, P. Vinoth Kumar ¹, R. Nirmal Kumar ¹, K. Srinivasan ¹

Affiliations
1 Department of Information Technology, Pondicherry Engineering College, Puducherry-605014, IN

Abstract

Video Enhancement is a wide range of techniques which is used to boost the quality of the video. Video stabilization removes the redundant motion fluctuations present in the video. In this paper, we present a practical method to remove the annoying shaky motion and restructure a stabilized video sequence with good visual quality. Typically, this is achieved by applying a certain amount of corrective motion displacement onto each video frame, such that to cancel the effect of high frequency fluctuations. We present an algorithm for video stabilization comprising three operations: Global Motion Estimation, Image Smoothing, and Image De-Blurring. The experimental results show the capability of the proposed algorithm to reduce the unwanted motion and proved to give the finest results.

Keywords

Global Motion Estimation, Image Smoothing, Image De-Blurring.

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P. Vinoth Kumar ¹, J. Dhanasekar ¹, R. Sivaramakrishnan ¹, K. Kalaichelvan ¹

Affiliations
1 Department of Production Technology, MIT, Anna University, Chrompet, Chennai-600044, IN

Abstract

The autonomous underwater vehicles are operated by power thrust to reach the desired depth. This system consumes more power or thrust and it is overcome by variable buoyancy system. In this project a feedback system is used by employing a control pressure sensor. With the help of this pressure sensor, the depth sensor is to be designed. The signal from the pressure sensor will be used to find the depth of the immersion of autonomous underwater vehicle from the top of the water surface. The signal from the pressure sensor is used to maintain the autonomous underwater vehicle at desired depth level. The sea level pressure is measured with help of pressure sensor. The output of the pressure sensor is an analog signal and is given to the ADC (analog to digital converter) port of microcontroller which takes decision on pumping sequence depending upon the input voltage (the digital value given to it)the microcontroller will control the driver unit to pump either in or out based on control signal. When the required depth level is reached the driver circuits takes some delay and automatically drives the pump out circuit to pump out the water till the preset value is reached. This sequence of pumping in and pumping out of the water will be controlled by the microcontroller for various digital input values.

Keywords

Buoyancy, Pressure Sensor Calibration, Depth Control.

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D. Surendran ¹, C. S. Ramshankar ¹, T. Viswanathan ¹, D. Srisabarinathan ¹, P. Vinoth Kumar ¹

Affiliations
1 Maxbyte Technologies, Information technology company, 218, Cowley Brown Road, R S Puram, Coimbatore, Tamil Nadu, IN

Abstract

Smart factory owners, manufacturing executives, and operation managers are looking for improving the budgets, targets, goal settings, deadlines, speed, efficiency, and lead-time. Maintain product quality after factory changes. With Industry 4.0, everyone is trying to transform the production process that accomplishes the factors mentioned above. There are multiple approaches found for manufacturing industries. However, there are few best practices that will help in digitization and implement digital factory. By analyzing the transformative approach of Industry 4.0, these practices are built for any organization to progress gradually. This paper aims to bring you the different perspectives gained while studying the transformation that can occur in the next few years. Also, it emphasizes on various key challenges faced to implement the practices in the industry. Finally, gives an overview of the best practices to implement the digital factory.

Keywords

IIoT, Digital Factory, Digitization, Best practices, Industry 4.0.

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