Simulation study of brent kung adder using cadence tool
Adders are the most fundamental piece of any computerized framework. In order to perform the addition of two numbers, adders are used. They also form the requisite part of Arithmetic and Logic Unit. Besides this application, they are also used in computers to calculate address, indices and operation codes. Adders are also used to employ different algorithms in Digital Signal Processing. There is a prerequisite to provide an efficient adder design which fulfills the trade-off amongst speed and space consideration to increase the performance of the system. In the modern age, in addition to the trade-off between speed and space, power consumption assumes an imperative. Gadgets with low power utilization and good performance are favored in real-time applications. Parallel Prefix adders are the ones generally utilized as a part of Digital Designs due to the adaptability associated with outlining these Adders. Brent Kung Adder (BKA) is a low power parallel prefix adder, as it uses minimum circuitry to obtain the result. A simulation study of this adder is carried out using cadence tool. The 4-bit, 8-bit, 16-bit and 32-bit BKAs were designed and simulated using CMOS logic- 45nm Technology. A comparative study was made by comparing the obtained results with Ripple Carry adder and Carry Look-ahead adders. Obtained results show that the power consumption and propagation delay for the BKA implementation are reduced compared to RCA and CLA.
Published by: T. Vamshi Krishna, Niveditha S, Mamatha. G. N, Sunil. M. P
Author: T. Vamshi Krishna
Paper ID: V4I3-1383
Paper Status: published
Published: May 14, 2018
Design of polarization filter using silver material
Photonic Crystal Fiber is a kind of optical fiber that uses bandgap effect as the principle of the light guiding mechanism. It is a low loss periodic dielectric medium which runs along the entire fiber length constructed using a periodic array of microscopic air holes. Due to the special characteristics of photonic crystal fiber, it has become a trend to use Polarization Switch, Rotator, Filter, and Multiplexer. Polarizing filter based on Photonic Crystal fiber has many impacts in all fiber communication. Thus, single polarizing filter based on dual-wavelength photonic crystal fiber is designed with silver-coated large holes. The type of photonic crystal fiber used is a solid core for polarization filter in order to darken skies, manage reflections, or suppress glare from the surface of lakes or the sea application using finite element method. Mostly Silver exhibits the highest conductivity of all metals. When the material wavelength is changed, correspondingly effective index of the material is also varied (i.e) effective index depends on input wavelength. Thus, the dual-wavelength single Polarization filter is between 1310nm to 1550nm and their polarization direction of the optical output is independent of the wavelength of incident light.
Published by: Parimala, N. Aravindan, A. Sivanantharaja
Author: Parimala
Paper ID: V4I3-1379
Paper Status: published
Published: May 14, 2018
Highly efficient Z source inverter
This project deals with the design, analysis, simulation, and development of Highly Efficient Boost Inverter using Z Source Network. The boost capabilities of the traditional Z-source networks are limited; the proposed converters are composed of combined traditional Z-Source networks in different ways to enhance the boost abilities of the traditional Z-source networks. The proposed converter is satisfied the traditional benefits of Z-source networks with stronger voltage boost abilities which can also be applied to dc-ac, ac-ac, and ac-dc power conversions. Analysis, MATLAB Simulation, and the Experimental result were illustrated in this paper.
Published by: Mithun Manohar, Susan V Ninan, Jeepa K J
Author: Mithun Manohar
Paper ID: V4I3-1378
Paper Status: published
Published: May 14, 2018
Replacement of fine aggregate with plastic in concrete
Recycled plastic aggregate used in the various proportion in the concrete mix and check their suitability. This study investigates the effects of using plastic waste as an alternative of Fine Aggregate. Disposal of plastic waste in an environment is considered to be a big problem due to the rapid growth of population in countries like India the disposing of solid waste is a major problem in our daily life. Solid waste management is one of the major environmental concerns. Among the waste material, plastic is the material that is the major concern to most of the environmental effects. There are different types of plastic which are classified on the basis of the physical property. As the plastic waste is non-degradable, it must be recycled or reused. The objective of the study is to study the behavior of the concrete which is made of the recycled plastic materials along with the study of the some of the physical properties that are related. In this study, M40 cement concrete is considered in which the recycled plastic waste is used as the replacement of fine aggregate in the concrete. Concrete cubes were cast taking 10 %, 20 %, 30 %, 40% & 50% of plastic as partial replacement of fine aggregate and tested for 7 & 28 days of compressive strength of concrete.
Published by: Tanzeem Shaikh, Aquib Shaikh, Syed Abdul Zeeshan, Shaikh Mohd Zubair
Author: Tanzeem Shaikh
Paper ID: V4I3-1376
Paper Status: published
Published: May 14, 2018
E-learning: Distributed processing of large datasets with parallel algorithm
In today’s lifestyle, every task has been executed by the help of internet. The online system or the internet facilities getting more widespread as well as its becoming part of the human lifestyle. Now in days, every individual recommends that learning should at any-place and any-time, and this recommendation is resolved by E-Learning system. There are multiple E-learning portals are available like javaTpoint. The aim of proposed e-learning platform was: • Course data materials must be secure. • Allowing learner to register and enter into the courses. • Learning should be easier, fluent and learner friendly. • Effective communication between learner and e-learn platform. The learner, using a web browser, interacts with the e-learning application. The learner can register to the system for particular course Next step is learner recommended for textual study material and video study material so that learner can refer notes or be learning the material as per choice. The learner can learn easily, flexible at any time, at anywhere we present a technical analysis of seven studies in the context of the application of data mining approach in e-learning. The results of our analysis support the use of data mining techniques for building a new generation of intelligent e-learning systems for different tasks and domains. E-learning course offerings are now plentiful, and many new e-learning platforms and systems have been developed and implemented with varying degrees of success. These systems generate a top increasing amount of data, and much of this information has the potential to become new knowledge to improve all instances of e-learning. Data mining processes should enable the extraction of this knowledge. Now implementing e-learning web interface can help to design courses more effectively, detect anomalies, inspire and guide further research, and help learners use resources more efficiently. The long-term objective is that to create fully featured learning system for the learning environment.
Published by: Rabia Ashrafi, Sharmila Sankar
Author: Rabia Ashrafi
Paper ID: V4I3-1271
Paper Status: published
Published: May 14, 2018
Construction of private methodical query services in the cloud with RASP data commotion
As digital technology is fast evolving and becoming an essential tool for businesses, the concept of cloud is evolved. The phenomenon of the cloud is described in terms of private and public. The proposed approach is based on the public cloud domain, which consists, numerous nodes with distributed computing resources in many different geographic locations. This approach leads the public cloud domain into several cloud partitions. The approach of distributed computing in the cloud simplifies the load balancing and allows database indexes to build over an encryption table. Many times, data into the cloud is stored by maintaining confidentiality, query privacy, efficient query processing at low cost (CPEL Criteria). However, the data owners always desire to submit their quires after realizing the privacy assurance of the cloud. In this aspect, researchers have introduced few techniques such as RASP (Random Space Perturbation), k-NN (k-Nearest Neighbor) Algorithm etc. The main problem across RASP technique is, generating the encryption key which is too large and its implementation makes the time and space overhead. The existing RASP data perturbation technique along with k-NN algorithm is exploited to furnish privacy to the cloud. Wherein, issues such as categorical data and leaked query in the model are identified and addressed, by holding no change in designing the k-NN-R algorithm.
Published by: Shubhashree Sahoo, Gogu Swathi
Author: Shubhashree Sahoo
Paper ID: V4I3-1386
Paper Status: published
Published: May 14, 2018
