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Frequency: 12 issues per year
ISSN: 2250–3005 (online version)
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International Journal of Computational Engineering Research

(IJCER)

 

Articles

 

Research Article  open access
An Artificial System for Prognosis Cancer Cells through Blood Cells Images Using Image Processing
Dr (Mr.) Sudhir Kumar Meesala || Miss Sonia Wadhwa
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 09 ~ Issue 07 (July– 2019)

Abstract

In present scenario, imaging in act an important role throughout the integrated medical process from indicative and find out about diseases through studies. Considering most of the imaging techniques have gone directly digital, with unceasingly increasing perseverance, these medical image processing has to confront many upcoming challenges from broad data measures. In our paper we describe the process of analysing cancer cell and how image processing is helpful and immensely important in medical science. The paper analyse and discover bacteria under blood cells through its rate of growth of bacteria in blood with the help of object recognition technique of image processing by getting the image through microscope..........

Keywords: Theurgical procedure, Previous medical imaging techniques, Static image processing technique, Object recognition, Pattern recognition, Machine learning.

Research Article  open access
Design and Implementation of Mess Tiffin Management System in the Python Environment
RiteshNimje || Aparna Gurjar
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 09 ~ Issue 07 (July – 2019)

Abstract

It is observed that, traditionally catering services or messes have relied on registers/book entry system for management of tiffin services of their clients. Many of these facilities are now switching over to the digital platform. This project aims to build a fully functional Mess Tiffin Management System taking into account the requirements posed by local constraints. This system can be used both by the mess customers as well as the owner. It implements various functionalities like customer management, food menu management and real time updates about tiffin orders through e-mails. The project has been created in Python language.We have used Sqlite3 for database operations and SMTP for sending the emails.

Keywords: Python, Mess, Tiffin Service, Customer, Owner, Tkinter, SQLite3,

Research Article  open access
Measurement of Velocity Fields Using Hybrid Detectionmethods
Tommaso Tocci || Lorenzo Capponi || Roberto Marsili || Gianluca Rossi
Italy
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 09 ~ Issue 07 (July – 2019)

Abstract

Image analysis techniques such Particle Image Velocimetry or Laser Doppler Velocimetry are usually usedin order to measurevelocity fields. These methods need expensive instrumentation and complex test benchset-ups. In this research an algorithm based on computer vision method Scale Invariant Feature Transform is elaborated in order to evaluate velocity field map in precise and optimized way. Filtering algorithm is used to improve the results. The developed method is applied on a suction system and the obtained speed maps are compared to anemometry measurements. This comparison leads to completely reliable results, both in terms of profile and mean velocity. Uncertainty analysis brings excellent results considering the random nature of its physic.

Keywords: Image analysis, Velocity field, Algorithm development, Scale Invariant Feature Transform (SIFT), Detection methods.

Research Article  open access
Blade Tip-Time Measurement System: Design Fundamentals
Roberto Marsili || Tommaso Tocci || Lorenzo Capponi || Gianluca Rossi
Italy
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 09 ~ Issue 07 (July – 2019)

Abstract

A first study of measurement techniques to determine vibrations of turbomachinery blades by using stationary sensors mounted onthe casing is here developed.Firstly, mathematical model is defined starting from basic physical fundamentals. Then this model is applied to two different measurement setups: one with reference sensor and one without. After that, a harmonic study of displacement and velocity is performed. The intrinsic uncertainty of these methods, together with the performances of the measurement chain are defined as well. The analysis of the measurement technique leads to some conclusions about the practical set-up and about theperformances of this methods.

Keywords: Vibrations, Blade, Turbomachinery, Contactless measurement.

Research Article  open access
Study of Water Distribution Network Using EPANET modeling Approach
Agboka Komi Mensah || Alfa TchaKpalaEssossinamMatonzibiyou
Kenya
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 09 ~ Issue 07 (July – 2019)

Abstract

The current study simulate the water distribution network of the semi-urban district Kalimoni, city of Juja, Kenya, based on February 2019 observation. The study area is served by RUJWASCO (RiuruJuja Water and Sewerage Company), which supplywater from Ndarugo river. The present study develop a model of the distribution system using EPANET software as a tool to assessthe hydraulic and water quality behaviour of the distribution network. The study used a trail-error method of the extimated demand to calibrate the model. The peak flow value was estimated to 100l/s. At that value the model was calibrated. The simulation of the network was carried out for 24 hour period supply corresponding to the actual supply. The study find that some nodes are facing very low pressure and the chlorine concentration generally in the network is above 0.8 mg/l which can be an issue in term of taste and odour to consummers.

Keywords: Calibration, EPANET, Hydraulic, water quality, simulation, distribution system.

Research Article  open access
Research on Object Detection in Video Streaming Using Deep Learning
Shaba Irram || Sheikh Fahad Ahmad
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 09 ~ Issue 07 (July – 2019)

Abstract

Machine learning researchers have analyse that to acquire more accuracy in object detection using deep learning techniques, the key is efficiently optimized feature extraction. So, we focus on the feature extraction part of the whole process. Mainly in Deep learning we have CNN for feature extraction. From many research papers it is concluded that best result is obtained when feature extraction is done by CNN. Many authors have been tried to obtain good accuracy in object detection but it becomes very difficult when the objects are moving and they proposed many techniques for object detection and tracking. Different parameters like throughput, accuracy and speed are used for measuring the performance of algorithm. The proposed approach in this paper increases the accuracy and speed of tracking the objects in a video stream by using MCNN for feature extraction. This new approach is based on Depth CNN and RGB CNN both.

Keywords: Deep Learning, Object Detection, Video Streaming, CNN, SVM, D-CNN.

Research Article  open access
Preventing Road Accidents by Analysing Speed, Driving Pattern and Drowsiness Using Deep Learning
Noorishta Hashmi || Dr. M. Akheela Khanum
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 09 ~ Issue 07 (July – 2019)

Abstract

As every day the rate of the population expands it likewise builds the rate of road accidents. There are a number of accidents took place daily. Main causes behind these road accidents are lack of training institutes, unskilled drivers, poor road conditions, use of cell phone during driving, consuming alcohol while driving overloading. Various Techniques are being introduced to reduce accidents. Many monitoring methods are come to analyze Driver behavior. In this project, we provide by means of accident prevention by analyzing the vehicle speed, pattern, and drowsiness of the driver. Drowsiness is recognized as an important factor in the vehicle accident. We are going to address two algorithms of deep learning. Naïve Bayes is used for classification of drowsiness While RNN is used for Prediction of driver behavior. Our Application is focused on the analysis of driver data, especially looking at driver behavior.

Keywords: Accident, Driver behavior, GPS and RNN.

Research Article  open access
An Efficient Framework and Technique to Maintain Privacy and Ovrcome Duplication Overhead In Cloud
Zarka khan || Mr. Anwar Ahmed Sheikh
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 09 ~ Issue 07 (July – 2019)

Abstract

Social networking sites a few years back was just used as a medium for communication for making new friends etc. If we compare today's current situation from years back, we'll notice a huge difference in terms of how these sites maintain theirdata. Nowadays social networking sites stores their data online Cloud storage can provide the benefits of greater accessibility, maintaining privacy and reliability; rapid deployment; strong protection for data backup, archival and disaster recovery purposes.Today our modern era is significantly dependent on Internet and online storage. Our proposed Technique is to maintain memory efficiently by not storing the same images again in cloud. In this paper, a novel approach is proposed............

Keywords: Cloud Storage, Web Hosting, Cloud Computing, Data Redundancy, Data Deduplication, RSA Algorithm, MPODO.