Efficient Low Power FIR Filter Design
A filter may be required to have a given frequency response, or a specific response to an impulse, step, or ramp, or simulate an analog system. Depending on the response of the system, digital filters can be classified into Finite Impulse Response (FIR) filters & Infinite Impulse Response (IIR) filters. The thesis deals with design of generic 30-tap FIR filter on FPGA. The thesis is focused on Design structure and occupied silicon space, needed for implementation of filter in FPGA. The results are IP macros of simple FIR filter that are full configurable using generic parameters. Both macros were verified in a verification environment which consists of test blocks (VHDL) and a comparative model (Matlab). A design of generic FIR filter is described in this work. Next there are described final designs of the IP macros, results and process of the verification, implementation and gate-level verification Design of area and power-efficient high-speeddata path logic systems are one of the most substantial areas of research in VLSI system design. In digital adders, the speed of addition is limited by the time required to propagate a carry through the adder
Published by: Rashmi Kisanrao Bhojane, G. D. Dalvi
Author: Rashmi Kisanrao Bhojane
Paper ID: V7I3-1646
Paper Status: published
Published: June 2, 2021
Medical image encryption using DNA cryptography
This paper proposed a novel cryptographic method for enhancing the security while transmission of image. Image which covers highest percentage of multimedia data, its protection is at most important. In image encryption methodologies, the pixels of original images are either manipulated or information is laid inside the image using the image as a cover to protect the data from undesired receivers. Scope of the project is to ponder on different ways of securing image data. Being a part of this digital world security becomes the most toughest and important things to handle. On the other hand hacking is also a growing domain which is used to track out a lot of information to solve a lot of digital criminal issues. DNA (Deoxy Ribonucleic acid) molecules, having the capacity to store, process and transmit information, inspires the idea of DNA cryptography. This combination of the chemical characteristics of biological DNA sequences and classical cryptography ensures the non-vulnerable transmission of data. In this paper review has been made about the present state of art of DNA cryptography.
Published by: Rohan N. Kalpavruksha, Roshan N. Kalpavruksha, Bhavani Shankar
Author: Rohan N. Kalpavruksha
Paper ID: V7I3-1614
Paper Status: published
Published: June 2, 2021
Lung Cancer Detection using Image Processing and CNN
Cancer is known to be one of the most dangerous health problems in the world and among it, lung cancer is known to be the most serious cancer with the smallest survival rate. The lung cancer risk population is also very high as compared to other deadly diseases, for example, cardiovascular diseases. Therefore, early detection of lung cancer is a must for survival. Nowadays, a lot of research has been done using Convolutional Neural Networks in the medical field. Image classification is one of the methods to detect cancer at early stages. First, the datasets for CT Scans are accessed from Kaggle. Images are refined with the pre-processing method. The image dataset will be trained on two different models namely~ Manual CNN and AlexNet. Further, the model producing the highest accuracy will be chosen and the processed images will be used to predict whether the CT scan image is malignant (cancerous), benign (non-cancerous), or normal.
Published by: Anubha Gupta, V. L. Karthikeya Manda, B. Ida Seraphim
Author: Anubha Gupta
Paper ID: V7I3-1606
Paper Status: published
Published: June 2, 2021
Food wastage reduction
There is growing evidence that a significant share of global food is thrown away, with concomitant detrimental repercussions for sustainability. Reducing food waste is a key sustainability challenge for the foodservice industry. Despite the significance of this issue to the global foodservice industry, the link between innovation practices and food waste management has received limited attention in the academic literature. This paper uses innovation management and social constructionism to investigate the interrelationships of foodservice provisions and innovations in waste management. It is based on the evaluation of food waste solutions and innovations that combine strategic dimensions of waste management with practice-driven initiatives, including incremental (processes and technologies) and radical innovations. The paper presents a range of waste management initiatives, showing that their implementation in the foodservice sector varies depending on management’s beliefs, knowledge, goals, and actions. The concepts discussed here could help practitioners to become more aware of the factors that drive the adoption of food waste innovations. The prevalence of food waste has been a subject of interest and discussion in recent years and researches is being done to find effective ways to curb it. It has been identified as a primary issue in the sustainability of food production and consumption, in addition to the sustainability of food supply chains. Food waste can be divided into avoidable and unavoidable waste. Avoidable waste includes edible food and spoiled/damaged edible food, while unavoidable waste consists of inedible food like bones, fruit peels, and eggshells among others. Research shows that in Finland, 5% of purchased food is wasted in households, and an average person wasted about 20-30 kg of food in a year. The average total amount of food wasted in households yearly is about 120-160 million kilograms. Household wastage could be intentional or not. Many of the food wastage in households could be a result of forgetfulness or negligence for the food expiry date. In countries like Finland with the high cost of living, consumers are inclined to buy food nearing its expiry date due to the discount shop sellers attach periodically.
Published by: Reshma A. Babu, Kavya G., Harshitha B. R.
Author: Reshma A. Babu
Paper ID: V7I3-1549
Paper Status: published
Published: June 2, 2021
Study of Molecular Markers in Agroforestry
Agroforestry is the combination of agriculture and forestry on farms and agricultural lands. The primary goal is to create a healthy and harmonious symbiosis with forest trees and agricultural crops using conventional farming techniques. Agroforestry is highly beneficial as it is a sustainable food production method. The main advantage of planting trees in between crops is to prevent water runoff and soil erosion. Plants undergo several unfavorable conditions during their growth cycle. Such conditions include abiotic stresses like drought, temperature, scarcity of nutrients and high levels of salt in the soil. This adversely affects the yield and productivity of crops. Molecular markers play a significant role in identifying stress tolerant genes in many crops. This helps in enhancing crop production, yield and most importantly improving food and nutrition security. Thus, it helps in improving the income of farmers. In this article, we will be studying the use of molecular markers to improve Agroforestry. Molecular markers are the most effective tools for the analysis of gene tags, genetic variability, phylogenetic evaluation and improvement of new and exquisite cultivars. The markers used in tree improvement are RAPD (Random Amplified Polymorphic DNA), RFLP (Restriction Fragment Length Polymorphism), AFLP (Amplified Fragment length Polymorphism), SSR (Simple Sequence Repeats) or Microsatellites and SNP (Single Nucleotide Polymorphism). There are numerous advantages of using molecular markers in tree improvement as they been placed on the tree population, and it is been screened for a wide range of variety of physiological and quality traits. They play an important role in enhancing genetic gain for quantitative traits. With the help of molecular markers, they can do phenotyping, genotyping and also the construction on the tree populations. The selective markers are used to capture the extent of the genetic variation, as the diversity at the phenotypic level which is larger than the diversity at the marker level. Screening of controlled crosses in Neem tree, markers like M13, AP-PCR are used for germplasm identification; genetic mapping and breeding purposes are few among them. This project focuses on the molecular markers in tree improvement.
Published by: Neeta Shiva Kumar, Varshini V., Preethi A., Sushma C., Prabanch M. M., S. Mrudula
Author: Neeta Shiva Kumar
Paper ID: V7I3-1519
Paper Status: published
Published: June 2, 2021
Reliability improvement in Z-source inverter with redundancy
The proposed work deals with the evaluation and improvement of a Z-source inverter using simulation. A Z-source inverter is a type of power inverter, a circuit that converts direct current to alternating current. It functions as a buck-boost inverter without making use of a DC-DC converter-bridge due to its unique circuit topology. MIL-HDBK-217F (Military handbook) is used to evaluate the reliability of this Z-source inverter. We have proposed a system that has been theoretically proved to have the lowest failure rate leading to reduced system repairing because of the use of redundant switches. The MTBF (mean time between failure) is high for redundant switches which will increase the life of the inverter. Simulation of the proposed system is done on MATLAB and a comparison of the reliability of the Z-source inverter is done with the results found theoretically. In a conventional inverter if one switch of inverter fails the complete leg will fail. Whereas in our case that is in Z-source inverter, because of the intermediate shoot through stage redundant switch will replace the failed switch thus saving it from failure.
Published by: Sharayu Raut, Sonal Pandey, Vaishnavi Bhonde, Switi Rangari, Soumya Hakke, Bhushan Warjurkar, Ruchi Pajai
Author: Sharayu Raut
Paper ID: V7I3-1568
Paper Status: published
Published: June 1, 2021
