IJIRSET

International Journal of Innovative Research in Scientific Engineering and Technology - IJIRSET

Home About Us Scope Editorial Board Blog/Latest News Contact Us
CALL FOR PAPERS
AUTHORS
DOWNLOADS
CONTACT
QR CODE
IJIRSET-QR Code

Volume 1 Issue 1: May 2018

Content Based Image Retrieval Through Color, Shape and Texture Features Using Edbtc

SHWETA C.POLICEPATIL, PAVITRA N S NADIG, CHITHRA B, AMRIN, Mrs.DHANYASHREE M

Abstract:

Content Based Image Retrieval is an important technique which uses visual contents to retrieve images from large database. a content based image retrieval technique is based on the concept of region-based image retrieval has been described. This technique integrates color, texture and shape features using local binary patterns (LBPs). In this technique ,the image is divided into a fixed number of blocks and from each block LBP-based color ,texture and shape features are computed. All three features are combined to make a single completed binary region descriptor(CBRD) represented in the LBP way. Here the size of an output picture is reduced to (64*64) from the input size (256*256) through minimum and maximum quantifier. CCF is used to extract the color factors. EDBTC and BPF are used to extract the shape of the picture. Gabor wavelet is used to extract the texture of the picture .Pictures are retrieved using similarity measures through Euclidean distances. The main purpose is to extract the picture factors using EDBTC to reduce the size of data stream without altering the picture quality and offers indexing of images.

[View Full Text Paper]  

Pages:1-6  



Cloud based Project Management System

Harish Lavhale,Rohan Mahale, Niraj Kothari and Sachin Mane

Abstract:

Generally many engineering colleges have collection of B.E. projects for particular academic year, but these projects are not stored anywhere in computer system or there may not have any record of these projects digitally. Many colleges handle B.E. projects manually like their FTRs, documentations, project exams, etc. So, to overcome earlier limitations we proposed a system called PMS(Project Management System) that can manage many B.E. projects automatically. PMS is designed to handle college level projects. It is hard to manage all B.E. projects in-person by a project coordinators manually like project guide allocation to each project group, arrangement of FTRs(Formal Technical Reviews), evaluation of best projects among all projects. PMS is proposed to work digitally instead of hard-paper works

[View Full Text Paper]  

Pages:7-11  



Fog Challenges KMIP Solutions

Aarshiya Khandelwal, Arti Harde, Bhuvaneshwari Iyer, Kajal Shirsath and Yashi Gupta

Abstract:

Fog is an attractive target for cyber-criminals due to high volumes of data throughput and the likelihood of being able to acquire sensitive data from both Cloud and IoT devices. Fog Computing today has many challenges out of which for communication, data security and wireless security challenges, encrypted communication and secure key management can be a possible solution. Some of the fog challenges which can be solved using KMIP are presented in this paper. This paper also investigates an application scenario and conducts IOT device authentication, F2F Communication and Task Scheduling of Fog Nodes. This paper generates more use-case scenarios for Fog Computing with secure and faster experience.

[View Full Text Paper]  

Pages:12-14  



Lipid-Protein Extraction from Wastewater Cultivated Algae for Animal Feed: Optimization and Characterization

Tyler Marlar, Michael Hansen, Ashik Sathish, and Ronald Sims

Abstract:

The algal lipid-protein extraction procedure (ALPEP) isolates and extracts valued proteins and fatty acids, known as algal lipid-protein (ALP), from microalgal biofilms. The objective of this study was to determine optimal process conditions of the ALPEP to maximize the ALP production. The ALP was characterized by ash-free dry weight, total protein and fatty acid content. Optimal reaction conditions for the ALPEP were 60° C, 30 minutes, and 1.0 g NaOH/g dry algal mass. The ALPEP recovers 58% crude protein (g ALP protein/g total algal protein) and 60% total fatty acids (g ALP fatty acid/g total algal fatty acid). The ALP consists of 29% protein (g ALP protein/g total ALP) and 4.6% fatty acid (g ALP fatty acid/g total ALP) and is a sustainable alternative to traditional bovine supplements thereby creating a sustainable closed-loop between microalgal remediation of agricultural wastewater and animal nutrition.

[View Full Text Paper]  

Pages:15-20  



Leaf disease detection by using image processing

SHALINI K J, HEMA M D,KAVYA J P, MEGHANA B N and JEEVITHA M C

Abstract:

For the detection and prevention of disease of plants from getting spread, this paper discussed a system using raspberry PI. For the image analysis, the k-means clustering algorithm was used. It has many advantages for the use in big farms of crops and thus it automatically detects signs of disease whenever they appear on leaves of the plant. In pharmaceutical research of leaf disease detection is necessary and important topic for research because it has advantages in monitoring crops in field at the form and thus it automatically detects symptoms of disease by image processing by k-means clustering algorithm. The term disease means the type of damage to the plants. This paper provides the best method for detection of plant diseases using image processing and alerting about the disease caused by sending email, SMS and displaying the name of the disease on the monitor display of the owner of the system. To upgrade agricultural products, automatic detection of disease symptoms is useful. The design and implementation of these technologies which is totally automatic and it will significantly help in the chemical application. It will reduce the cost required for the pesticides and other products. This will lead to increase in productivity of the farming.

[View Full Text Paper]  

Pages:21-32  



Implementation of Space Vector Pulse Width Modulation Technique to reduce stress in Three Phase to Single Phase Cycloconverter

R.Meenakshi

Abstract:

Cycloconverters are used for generating variable frequency and variable voltage. The switches generally used in cycloconverters are thyristors which requires external commutation circuit and also switching frequency is less. Among the transistor switches IGBT is used because it has low on state loss switching losses when compared to MOSFET and also it has high switching frequency when compared to BJT. Due to high switching frequency used, the stress across switches will be high and this can be reduced by PWM techniques. Among various PWM techniques, SVPWM is used because it prevents unnecessary switching which is caused by voltage stress.

[View Full Text Paper]  

Pages:33-36  



Smart Traffic Control System

ANUJ KULKARNI, SHEETAL DALAL, SIDDHARTH JAIN and Dr. KETKI P KSHIRSAGAR

Abstract:

Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. The objective of this paper was to propose a machine learning based approach to monitor traffic signals. The proposed approach helped to detect and recognize different types of vehicles and calculate traffic density in a given frame. The vehicle density measurement is done by measuring the number of pixels of the detected vehicles and then simply taking the ratio of the measured pixels to the total number of pixels that the road incorporates. This approach compares the available image with a set of standard images. The dataset of standard images has different images for different type of traffic density. After the comparison of the two the density is determined, according to which the traffic lights are controlled. This approach uses modern computing techniques such as machine learning algorithms using libraries such as openCV and HAAR cascading.

[View Full Text Paper]  

Pages:37-42  





CURRENT PUBLICATIONS
ISSN: 2XXX-XXXX
IJIRSET - September 2017 - Volume 1 Issue 1