High throughput multistandard transform core supporting mpeg h 264 vc 1 using common sharing distributed arithmetic

Dec 15, 2015Download as docx, pdf0 likes149 views

The document describes a proposed low-cost high-throughput multistandard transform core that can support various video encoding standards like MPEG, H.264, and VC-1. It uses a technique called Common Sharing Distributed Arithmetic that combines factor sharing and distributed arithmetic to reduce the number of adders needed, achieving a 44.5% reduction. This allows the core to have eight parallel processing paths and a throughput of 1.28 G-pels/s while only requiring 30k gate counts, supporting very high resolution digital cinema formats in a low-cost and high-throughput manner.

Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
High-Throughput Multistandard Transform
Core Supporting MPEG/H.264/VC-1 Using
Common Sharing Distributed Arithmetic
Abstract—This paper proposes a low-cost high-throughput multistandard
transform (MST) core, which can support MPEG- 1/2/4 (8 × 8), H.264 (8 × 8, 4
× 4), and VC-1 (8 × 8, 8 × 4, 4×8, 4×4) transforms. Common sharing
distributed arithmetic (CSDA) combines factor sharing and distributed arithmetic
sharing techniques, efficiently reducing the number of adders for high hardware-
sharing capability. This achieves a 44.5% reduction in adders in the proposed
MST, compared with the direct implementation method. With eight parallel
computation paths, the proposed MST core has an eightfold operation frequency
throughput rate. Measurements show that the proposedCSDAMST core achieves a
high-throughput rate of 1.28 G-pels/s, supporting the (4928×2048@24 Hz) digital
cinema or ultrahigh resolution format. This is possible only with 30k gate counts
when implemented in a TSMC 0.18-μm CMOS process. The CSDA-MST core
thus achieves a high-throughput rate supporting multistandard transformations at
low cost.

SOFTWARE REQUIREMENT:
 ModelSim6.4c.
 Xilinx 9.1/13.2.
HARDWARE REQUIREMENT:
 FPGA Spartan 3.
PROJECT FLOW:
First Review:
Literature Survey
Paper Explanation
Design of Project
Project Enhancement explanation
Second Review:
Implementing 40% of Base Paper
Third Review
Implementing Remaining 60% of Base Paper with Future Enhancement (Modification)
For More Details please contact
Logic Mind Technologies
Vijayangar (NearMaruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Mail: logicmindtech@gmail.com

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Newly poured concrete opposing hot and windy conditions is considerably susceptible to plastic shrinkage cracking. Crack-free concrete structures are essential in ensuring high level of durability and functionality as cracks allow harmful instances or water to penetrate in the concrete resulting in structural damages, e.g. reinforcement corrosion or pressure application on the crack sides due to water freezing effect. Among other factors influencing plastic shrinkage, an important one is the concrete surface humidity evaporation rate. The evaporation rate is currently calculated in practice by using a quite complex Nomograph, a process rather tedious, time consuming and prone to inaccuracies. In response to such limitations, three analytical models for estimating the evaporation rate are developed and evaluated in this paper on the basis of the ACI 305R-10 Nomograph for “Hot Weather Concreting”. In this direction, several methods and techniques are employed including curve fitting via Genetic Algorithm optimization and Artificial Neural Networks techniques. The models are developed and tested upon datasets from two different countries and compared to the results of a previous similar study. The outcomes of this study indicate that such models can effectively re-develop the Nomograph output and estimate the concrete evaporation rate with high accuracy compared to typical curve-fitting statistical models or models from the literature. Among the proposed methods, the optimization via Genetic Algorithms, individually applied at each estimation process step, provides the best fitting result.

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Prediction of Flexural Strength of Concrete Produced by Using Pozzolanic Mate...Journal of Soft Computing in Civil Engineering

The use of huge quantity of natural fine aggregate (NFA) and cement in civil construction work which have given rise to various ecological problems. The industrial waste like Blast furnace slag (GGBFS), fly ash, metakaolin, silica fume can be used as partly replacement for cement and manufactured sand obtained from crusher, was partly used as fine aggregate. In this work, MATLAB software model is developed using neural network toolbox to predict the flexural strength of concrete made by using pozzolanic materials and partly replacing natural fine aggregate (NFA) by Manufactured sand (MS). Flexural strength was experimentally calculated by casting beams specimens and results obtained from experiment were used to develop the artificial neural network (ANN) model. Total 131 results values were used to modeling formation and from that 30% data record was used for testing purpose and 70% data record was used for training purpose. 25 input materials properties were used to find the 28 days flexural strength of concrete obtained from partly replacing cement with pozzolans and partly replacing natural fine aggregate (NFA) by manufactured sand (MS). The results obtained from ANN model provides very strong accuracy to predict flexural strength of concrete obtained from partly replacing cement with pozzolans and natural fine aggregate (NFA) by manufactured sand.

Construction Materials (Paints) in Civil EngineeringLavish Kashyap

This file will provide you information about various types of Paints in Civil Engineering field under Construction Materials. It will be very useful for all Civil Engineering students who wants to search about various Construction Materials used in Civil Engineering field. Paint is a vital construction material used for protecting surfaces and enhancing the aesthetic appeal of buildings and structures. It consists of several components, including pigments (for color), binders (to hold the pigment together), solvents or thinners (to adjust viscosity), and additives (to improve properties like durability and drying time). Paint is one of the material used in Civil Engineering field. It is especially used in final stages of construction project. Paint plays a dual role in construction: it protects building materials and contributes to the overall appearance and ambiance of a space.

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Modelling of Concrete Compressive Strength Admixed with GGBFS Using Gene Expr...Journal of Soft Computing in Civil Engineering

Several studies have established that strength development in concrete is not only determined by the water/binder ratio, but it is also affected by the presence of other ingredients. With the increase in the number of concrete ingredients from the conventional four materials by addition of various types of admixtures (agricultural wastes, chemical, mineral and biological) to achieve a desired property, modelling its behavior has become more complex and challenging. Presented in this work is the possibility of adopting the Gene Expression Programming (GEP) algorithm to predict the compressive strength of concrete admixed with Ground Granulated Blast Furnace Slag (GGBFS) as Supplementary Cementitious Materials (SCMs). A set of data with satisfactory experimental results were obtained from literatures for the study. Result from the GEP algorithm was compared with that from stepwise regression analysis in order to appreciate the accuracy of GEP algorithm as compared to other data analysis program. With R-Square value and MSE of -0.94 and 5.15 respectively, The GEP algorithm proves to be more accurate in the modelling of concrete compressive strength.

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With over eight years of experience, David Boutry specializes in AWS, microservices, and Python. As a Senior Software Engineer in New York, he spearheaded initiatives that reduced data processing times by 40%. His prior work in Seattle focused on optimizing e-commerce platforms, leading to a 25% sales increase. David is committed to mentoring junior developers and supporting nonprofit organizations through coding workshops and software development.

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Design Optimization of Reinforced Concrete Waffle Slab Using Genetic AlgorithmJournal of Soft Computing in Civil Engineering

Mode-Wise Corridor Level Travel-Time Estimation Using Machine Learning ModelsJournal of Soft Computing in Civil Engineering

Modeling the Influence of Environmental Factors on Concrete Evaporation RateJournal of Soft Computing in Civil Engineering

Little Known Ways To 3 Best sites to Buy Linkedin Accounts.pdfgori42199

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Modelling of Concrete Compressive Strength Admixed with GGBFS Using Gene Expr...Journal of Soft Computing in Civil Engineering

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High throughput multistandard transform core supporting mpeg h 264 vc 1 using common sharing distributed arithmetic

1. Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 High-Throughput Multistandard Transform Core Supporting MPEG/H.264/VC-1 Using Common Sharing Distributed Arithmetic Abstract—This paper proposes a low-cost high-throughput multistandard transform (MST) core, which can support MPEG- 1/2/4 (8 × 8), H.264 (8 × 8, 4 × 4), and VC-1 (8 × 8, 8 × 4, 4×8, 4×4) transforms. Common sharing distributed arithmetic (CSDA) combines factor sharing and distributed arithmetic sharing techniques, efficiently reducing the number of adders for high hardware- sharing capability. This achieves a 44.5% reduction in adders in the proposed MST, compared with the direct implementation method. With eight parallel computation paths, the proposed MST core has an eightfold operation frequency throughput rate. Measurements show that the proposedCSDAMST core achieves a high-throughput rate of 1.28 G-pels/s, supporting the (4928×2048@24 Hz) digital cinema or ultrahigh resolution format. This is possible only with 30k gate counts when implemented in a TSMC 0.18-μm CMOS process. The CSDA-MST core thus achieves a high-throughput rate supporting multistandard transformations at low cost.

2. SOFTWARE REQUIREMENT:  ModelSim6.4c.  Xilinx 9.1/13.2. HARDWARE REQUIREMENT:  FPGA Spartan 3. PROJECT FLOW: First Review: Literature Survey Paper Explanation Design of Project Project Enhancement explanation Second Review: Implementing 40% of Base Paper Third Review Implementing Remaining 60% of Base Paper with Future Enhancement (Modification) For More Details please contact Logic Mind Technologies Vijayangar (NearMaruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Mail: logicmindtech@gmail.com

High throughput multistandard transform core supporting mpeg h 264 vc 1 using common sharing distributed arithmetic

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