Refine your search
Collections
Co-Authors
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Sabitha, S.
- Various Scheduling Algorithm Based on Admission Control for Wireless Sensor Networks
Abstract Views :157 |
PDF Views:3
Authors
K. Kowsalya
1,
S. Sabitha
1
Affiliations
1 Department of Communication and Networking, Adhiparasakthi Engineering College, Melmaruvathur, IN
1 Department of Communication and Networking, Adhiparasakthi Engineering College, Melmaruvathur, IN
Source
Networking and Communication Engineering, Vol 8, No 4 (2016), Pagination: 142-145Abstract
In wireless sensor network, Admission Control (AC) is one of the key traffic management mechanisms that should be installed to afford Quality of Service (QoS) support for real-time traffic. A scheduling scheme used by each node in the sensor network plays a vital role for efficient data transfer in the network. Scheduling link transmissions in a wireless network so as to enhance one or more of the performance objectives (e.g. throughput, delay, or energy) has been the area of much interest over the previous several decades. To avoid the interference between the transmitted packets in the nodes of the networks we use the interference modelling in our system. In our proposed work we study the various scheduling algorithm which enhance the system parameters such as throughput, channel utilization and reduce the delay and packet loss ratio in sensor environment. We also analyse the packet collision rate in various scheduling algorithm.
Keywords
Admission Control, Scheduling, Wireless Sensor Networks, Throughput, Channel Utilization, Interference Modelling, Hybrid CDMA, Bandwidth.
- Identification and Characterization of whey Protein, Casein Micelles and Fat Globules in Cow Milk
Abstract Views :209 |
PDF Views:1
Authors
Affiliations
1 Department of Physics, Sathyabama Insititute of Science and Technology, Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai - 600119, Tamil Nadu, IN
1 Department of Physics, Sathyabama Insititute of Science and Technology, Jeppiaar Nagar, Rajiv Gandhi Salai, Chennai - 600119, Tamil Nadu, IN
Source
Journal of Surface Science and Technology, Vol 36, No 1-2 (2020), Pagination: 83–88Abstract
Pasteurized cow milk (whole milk) was used in the present study and also fat was removed from the whole milk to obtain skimmed milk. Whey is the liquid remaining after milk has been curded and strained during the manufacture of cheese. The sample was filtered using a Whatman filter paper to separate the precipitate. The filtrate thus obtained is called whey (devoid of casein and fat). The micrographs of whole milk, skimmed milk and whey were obtained using an inverted phase contrast microscopy. The hydrodynamic size and zeta potential of the samples were obtained using Dynamic light scattering technique. Atomic force microscopy was also performed to understand the surface morphology of whole milk, skimmed milk and whey on mica substrate.Keywords
Atomic Force Microscopy, Cow Milk, Dynamic Light Scattering Study, Inverted Phase Contrast Microscopy, Skimmed milk, Whole Milk, Whey.References
- J. Sangeetha and J. Philip, Colloids Surf. A Physicochem. Eng. Asp., 406, 52 (2012). https://doi.org/10.1016/j.colsurfa. 2012.04.049.
- Y. D. Livney, Curr Opin Colloid Interface Sci, 15, 73 (2010). https://doi.org/10.1016/j.cocis.2009.11.002.
- A. O. Elzoghby, W. S. El-Fotoh and N. A. Elgindy, J. Control. Release., 153, 206 (2011). https://doi.org/10.1016/j. jconrel.2011.02.010. PMid: 21338636.
- R. Gebhardt, W. Doster, J. Friedrich and U. Kulozik, Eur. Biophys., 35, 503 (2006). https://doi.org/10.1007/s00249- 006-0058-6. PMid: 16622655.
- D. G. Dalgleish and M. Corredig, Annu. Rev. Food Sci. Technol., 3, 449 (2012). https://doi.org/10.1146/annurevfood- 022811-101214 PMid: 22385169.
- D. G. Dalgleish, D. S. Horne and A. J. R. Law, Biochim. Biophys. Acta Gen. Subj., 991, 383 (1989). https://doi. org/10.1016/0304-4165(89)90061-5
- S. Marchin, J. L. Putaux, F. Pignon and J. Leonil, J. Chem. Phys., 126, 045101 (2007). https://doi.org/10.1063/1.2409933. PMid: 17286511.
- C. Regalado, C. Perez-Perez, E. Lara-Cortes, B. Garcia- Almendarez, Vol. 661, chapter 37, Eds. R. G. Guevara-Gonzalez, I. Torres Pacheco. Research Signpost, Kerala, India; 2006. p. 237-61.
- C. Chaves-Lopez, A. Serio, A. Paparella, M. Martuscelli, A. Corsetti, R. Tofalo, Food Microbiol., 42, 117 (2014). https://doi.org/10.1016/j.fm.2014.03.005. PMid: 24929726.
- I. Lopez-Exposito, L. Amigo, I. Recio, Dairy. Sci. Technol., 92, 419 (2012). https://doi.org/10.1007/s13594- 012-0066-5
- E Bijl, R. de Vries, H. van Valenberg, T. Huppertz, T. van Hooijdonk, Int. Dairy J., 34, 135 (2014). https://doi. org/10.1016/j.idairyj.2013.08.001.
- P. Hristov, B. Neov, H. Sbirkova, D. Teofanova, G. Radoslavov, B. Shivachev, Biotechnol. in Anim. Husbandry, 30, 561 (2014). https://doi.org/10.2298/BAH1404561H.
- El Hadji Mamour Sakho, Elaheh Allahyari, Oluwatobi S. Oluwafemi, Sabu Thomas and Nandakumar Kalarikkal. Thermal and Rheological Measurement Techniques for Nanomaterials Characterization, 1st edition Volume 3, Elsvier Inc. Publisher; 2017. p. 37-49.
- Y. Zhang, D. Liu, X. Liu, F. Hang, P. Zhou, J. Zhao, H. Zhang, W. Chen, Int. Dairy J., 78, 20 (2018). https://doi. org/10.1016/j.idairyj.2017.10.008.
- S. L. Carnie, D. Y. C. Chan, C. Lewis, R. R. Manica, R. R. Dagastine, Langmuir, 21, 2912 (2005). https://doi. org/10.1021/la0475371. PMid: 15779966.
- K.-C. Chang, Y.-W. Chiang, C.-H. Yang, J.-W. Liou, Tzu. Chi. Medical Journal, 24, 162 (2012). https://doi.org/10.1016/j. tcmj.2012.08.002.
- W. Jia, D. Xiao, Z. Yun, W. Lan, T. Bing-qiang, X. Bi-jun, Agric. Sci. China, 8, 1458 (2009). https://doi.org/10.1016/S1671- 2927(08)60359-4.