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Divya, E.
- Experimental Investigations on Geopolymer Bricks/Paver Blocks
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Authors
Affiliations
1 Department of Civil Engineering, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai – 600062, Tamil Nadu, IN
1 Department of Civil Engineering, Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai – 600062, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 16 (2016), Pagination:Abstract
Objective: This study mainly focused on use of quarry dust on replaced with river sand for making geopolymer bricks and paver blocks. Method: Investigations were done on usage of eco-friendly Geopolymer Concretes in lieu of OPC concrete for producing geopolymer bricks and paver blocks. Fly ash, GGBS, aggregates and pellet form of sodium hydroxide were mixed together, then, distilled water was added to form alkaline condition. After one-day period, sodium silicate solution was mixed with concrete mixtures to prepare geopolymer concrete. The geopolymer concrete specimen were tested against compressive strength, split tensile strength and flexural strength. Findings: GPCC with 50% sand and 50% quarry dust produced excellent compressive strength, flexural strength and split tensile strength. GPC paver block using 75% GGBS and 25% fly ash shows excellent compressive strength. Geopolymer brick using 65% FA&35% GGBS produced good compressive strength. Applications/Improvements: A high volume fly ash based geopolymer concrete (mix proportion of 65, 70, 75 and 80% FA) used for bricks and high volume ground granulated blast furnace slag based geopolymer concrete (mix proportion of 65, 70, 75 and 80% GGBS) used for pavers blocks.Keywords
Fly Ash, Geopolymer Bricks, GGBS, Paver Blocks, Quarry Dust- OFDM Techniques for MIMO-OFDM System: A Review
Abstract Views :131 |
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Authors
Affiliations
1 School of Electrical and Electronics Engineering, SASTRA University, Thanjavur – 613401, Tamil Nadu, IN
1 School of Electrical and Electronics Engineering, SASTRA University, Thanjavur – 613401, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 22 (2015), Pagination:Abstract
MIMO-OFDM technology converts frequency selective MIMO channel into number of parallel flat fading MIMO channel.It fundamentally simplifies the baseband receiver processing by eliminating the need of complex MIMO equalizer. In this paper every one of the strategies that provide increased BER performance for OFDM has been discussed. Linear Constellation Precoding (LCP) with subcarrier grouping technique has been introduced to overcome the multipath fading that result from conventional OFDM. Later on Nonlinear Constellation Precoding (NCP) without subcarrier grouping is introduced to replace the LCP technique. NCP strategy is adaptable to diversity channels and diversity order irrespective of their number which is not in case of LCP scheme. At end Nonlinear Constellation Precoding (NCP) with subcarrier grouping is introduced. As a conclusion, in future if the same procedures are implemented in the OFDM part of MIMO-OFDM system it will provide improved BER than conventional MIMO-OFDM system.Keywords
Bit Error Rate, Diversity Channel Selection, Linear Constellation Precoding, Maximum Distance Separable codes, Nonlinear Constellation Precoding- Capturing the Image of Occupants Inside the Car by using Inside-Car Camera during Vehicle Collision
Abstract Views :504 |
PDF Views:318
Authors
Affiliations
1 Department of Computer Applications, St Peter’s University, Avadi , Chennai – 600054, Tamil Nadu, IN
1 Department of Computer Applications, St Peter’s University, Avadi , Chennai – 600054, Tamil Nadu, IN
Source
ScieXplore: International Journal of Research in Science, Vol 3, No 2 (2016), Pagination: 66-69Abstract
The safety concern in means of transport has been considerably increased in last few decades. Distinct Sensory systems have been applied inside and outside vehicles in order to save lives. In this regard, imaging and vision system are used for capturing the static position of the passengers inside the vehicle during collision. There are many approaches to capture an image concatenation from a camera and to analyze them. The image of the passengers is captured during rear end vehicle collision by an inside car camera which is fixed on the left top of front windshield and an event parsing algorithm identifies the collision that has occurred. The decomposing of the collision activity is classified into three activity and uses the Or-And Graph (OAG) to compose the compositions of the temporal relationship among the collision detection. An online parsing (OP) algorithm for OAG formed from Earle's parser is employed to parse the image and identify the passenger's condition. This technique could be used as an enhancement for the safety of the passengers and to provide immediate assistance during vehicle collision.Keywords
Inside-Car Camera, Or-and Graph (OAG), Sensory Systems, Static Position, Vehicle Collision.References
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