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Sathya, P.
- Energy Efficient 3-Transistor XOR-XNOR for Arithmetic Applications
Abstract Views :186 |
PDF Views:2
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Karpagam University, IN
1 Department of Electronics and Communication Engineering, Karpagam University, IN
Source
Digital Signal Processing, Vol 4, No 4 (2012), Pagination: 150-153Abstract
We present two high-speed and low-power full-adder cells designed with an alternative internal logic structure and pass-transistor logic styles that lead to have a reduced power-delay product (PDP).We carried out a comparison against other full adders reported as having low power-delay product, power consumption and area. All the full adders were designed with a 0.18μm CMOS technology, and were tested using a comprehensive test bench that allowed to measuring the current taken from the full adder inputs besides the current provided from the power supply. In proposed work we are using full adders with 3-transistor XOR-XNOR. It is used for further power consumption.Keywords
Arithmetic, Full-Adder, Low-Area, Low-Power.
- Data Mining Clustering Technique in Data Streams-A Survey
Abstract Views :200 |
PDF Views:2
Authors
S. Vijayarani
1,
P. Sathya
1
Affiliations
1 Department of Computer Science, Bharathiar University, Coimbatore, IN
1 Department of Computer Science, Bharathiar University, Coimbatore, IN
Source
Data Mining and Knowledge Engineering, Vol 4, No 5 (2012), Pagination: 270-276Abstract
A data stream is a continuous, real time, ordered sequence of items. It is impossible to control the order in which items arrives. Real time surveillances system, telecommunication system, sensor network, financial applications are some of the examples of the data stream systems. These types of streams produced millions or billions of updates every hour. These data must be processed to extract the information in a meaningful way. As data stored in a database and data warehouse are processed by using some mining algorithm. Data mining is an extraction of interesting pattern or knowledge from huge amount of data. In this paper, we will study how the data mining techniques are used in data streams as well as the clustering problem for data stream applications. To partition the data sets into one or more groups of similar objects is known as clustering.Keywords
Clustering, Data Mining, Data Streams.- Effects of Proprioceptive Training on Agility Performance in Male Football Players
Abstract Views :600 |
PDF Views:0
Authors
Charmi Salot
1,
P. Sathya
1
Affiliations
1 School of Physiotherapy, D.Y. Patil University, Nerul, Navi-Mumbai, IN
1 School of Physiotherapy, D.Y. Patil University, Nerul, Navi-Mumbai, IN
Source
Indian Journal of Physiotherapy & Occupational Therapy-An International Journal, Vol 14, No 1 (2020), Pagination: 68-72Abstract
Background and Purpose: Football is a high intensity intermittent sport which requires the successful and effective execution of the technical skill like agility, change of direction, acceleration, deceleration, sudden stops and shots largely depends on the football players’ ability to control their balance and to adapt better and faster to their ever changing bodily postures and positions in the pitch. So to maximize the football performance the possible strategy could be proprioceptive training. Hence, the purpose of this research was to see the effects of proprioceptive training on agility performance in male football players.
Method: 90 football players participated were randomly selected and divided in two groups, experimental (n=45) and control group (n=45). Experimental group underwent Proprioceptive training on bosu ball with their regular football training program and control group underwent regular football training program. Athletes were trained for 3 times a week for 6 weeks. Agility assessment at pre and post intervention was done for all subjects using T-agility test.
Results: The results revealed a significant differences in comparison between pre and post agility for experimental group with p-value 0.000 (< 0.05) and insignificant difference for control group with p-value 0.220 (> 0.05).
Conclusion: Proprioceptive training was effective in decreasing the agility time in male football players.
Keywords
Proprioceptive Training, Bosu Ball, Agility, Football.References
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