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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
Parametric & Kinetic Study for the Adsorption of Crystal Violet Dye by Using Carbonized Eucalyptus
Bohar Singh || B S Walia || Rajiv Arora
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 08 ~ Issue 09 (September – 2018)

Abstract

The adsorption of Crystal Violet (CV) dye was performed in this study on carbonized Eucalyptus wood. The wood charcoal was characterized using XRD and SEM-EDX. The batch experiments were performed to optimize the parameters for the maximum adsorption of the CV dye and the parameters included were - amount of adsorbent, initial dye concentration, contact time, pH of the dye solution and temperature. The maximum adsorption of 95.80% was obtained at 10 ppm initial dye concentration, 1 g/L adsorbent, pH 9 and at 40oC. The study of adsorption kinetics was carried out within framework of two most important models: pseudo-first order and pseudo-second order. It was found that the adsorption followed pseudo-second order kinetics. The experimental isotherm data was analyzed using Langmuir and Freundlich models...........

Keywords: Adsorption, Carbonized Eucalyptus, Crystal Violet, Dye removal, Isotherms, Wastewater Treatment.

Research Article  open access
Dynamic Traffic Signalling using Video Analytics
Swathi Kothapalli || Naga Durga Prasad M || Harshavardhan Reddy S
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 08 ~ Issue 09 (September – 2018)

Abstract

As the traffic became the one of the most important part of the daily life. Our precious time in every-day life is mostly spent in the traffic. This is one of the important problems in the various cities of country like India. This is due to several reasons like improper monitoring of traffic in various junctions and also providing static signalling time at the junctions. Video surveillance plays an important role in traffic controlling by providing the dynamic control over the traffic. The traditional computer vision techniques are unable to analyze the visual data generated in real-time. So, there is a need for video analytics which involves processing and analyzing visual data such as videos to find the vehicles and count...........

Keywords: Traffic control; Static; Dynamic; cascading algorithm; video analytics; vehicles count.

Research Article  open access
Identifying Error Sources in Elevation Data Using GPS
Vijaya Samundeeswari.V
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 08 ~ Issue 09 (September – 2018)

Abstract

Tracking the three dimensional position using GPS or other equivalent technologies is an increasing important feature in many applications like surveying, mapping, transportation, agriculture, military planning, GIS and others. The positional and elevation accuracy of any place is tend to error due to various factors including poor geometrical position of satellites, weather changes in ionosphere and troposphere layer, multipath effects and so on. This inaccuracy may affect various real time navigational systems and position finding systems. The 3D positional accuracy can be increased significantly by other supporting data from other receivers, and low cost sensors like accelerometer, magnetometer, and air pressure sensors. The third dimension, altitude can augment the positional solution by improving the elevational accuracy. So this research paper aims in building a prototype system suitable for data collection from various receivers and sensor devices.

Keywords: GPS, 3D Map matching.

Research Article  open access
Using Raspberry Pi 3 And Face Detection Method To Take The Attendance of The Student In Classroom And Other Security Purposes
Debopama Ghosh || Arkaprabha Lodh || Debosama Ghosh || Sayan Acharya
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 08 ~ Issue 09 (September – 2018)

Abstract

Attendance for the students is an important task in class. When done manually it generally wastes a lot of productive time of the class. This proposed solution for the current problem is through automation of attendance system using face recognition. Face is the main identification for any human to know. This paper describes the method of detecting and recognizing the face in real-time using Raspberry Pi. This project describes an efficient algorithm using open source image processing framework known as OpenCV. Our approach has modules – Face Detection, Face Training, Face Recognition and Attendance Database. The face database is collected to recognize the faces of the students.

Keywords: ..........

Research Article  open access
Energy-Cost Efficient Virtual Machines Scheduling In Multi- Tenant Data Centers
Muthi Reddy P || ManjulaS H || Venugopal K R
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 08 ~ Issue 09 (September – 2018)

Abstract

The rapid growth in the data storage and data processing demands the energy consumption of data centers. Recently it became a major issue in large data centers due to financial and environmental concerns. Virtual Machine (VM) allocation for multiple tenants is an important and challenging problem to provide efficient infrastructure services in cloud data centers. Tenants run applications on their allocated VMs and the network distance between a tenants'. VMs may considerably impact the tenant's Quality of Service (QoS). Existing two greedy approximation algorithms like Minimum Energy virtual machine Scheduling algorithm (MinES) and Minimum Communication virtual machine Scheduling algorithm (MinCS) had been proposed to reduce the consumption of energy in data centers...........

Keywords: Cost, Energy, Multi-Tenants, Real-time, Virtual machine, Physical machine

Research Article  open access
Mathematical Model of Computer Aided Detection for Acute Leukemia
Najaat A. A. Abdullah || Prof. Mohammed A. M. Ibrahim || Prof. Adel S. M. Haider
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 08 ~ Issue 09 (September – 2018)

Abstract

In the leukemia detection process, human errors, differences between observers based on their experiences and a huge variation in the time taken for diagnoses are some problems that need to overcome. Therefore, this paper proposes a computer-aided diagnostic mathematical model that assists in early detection of acute leukemia subtypes. The results showed that the conversion of images into L*a*b* color space produces uniformity in contrast compared to RGB color space. The resulted different features for each object indicate that the model can be used accurately to detect acute leukemia subtypes. To achieve this goal Lightness channel which gives a good contrast of the objects is selected to clearly extract the relevant object.

Keywords: Acute Leukemia, mathematical model, RGB color space, Lab color space, preprocessing, segmentation, feature extraction, theoretical test.

Research Article  open access
Experimental Study on Compressive, Split Tensile and Flexural Strength of Composite Fiber Reinforced Concrete with Metakaolin as Admixture
Adanagouda || Basavalingana Gowda.M.I || Dr.Somasekharaiah.H.M || Ragavendra Reddy.K
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 08 ~ Issue 09 (September – 2018)

Abstract

Cement concrete is the most extensively used construction material. Maintenance and repair of concrete structures is a growing problem involving significant expenditure. As a result many researchers have been carried out worldwide; it has been made possible to process the material to satisfy more stringent performance requirements, especially long–term durability. HPC is the latest development in concrete. It has become very popular and is being used in many prestigious projects such as Nuclear power projects, flyovers multi-storied buildings. To reduce cracks in concrete fibers are introduced in HPC............

Keywords: HPC, Steel Fibers, Polypropylene Fibers, Compressive Strength, Tensile Strength and Flexural Strength.

Research Article  open access
Development of WIA System for Measuring the Water Level of Small-Medium River
HyeongKwon Kim || JinWoo Kim
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 08 ~ Issue 09 (September – 2018)

Abstract

The transversal structure of small-medium sized river is relatively poor. In this paper, we developed a system to measure the water level and flow rate in real time by acquiring the surrounding image. The WIA system acquires the images necessary for water level estimation by a non-contact method. As a result, only 15% of the budget for existing automatic water level / flow measurement systems is needed, which can efficiently manage small and medium sized rivers.

Keywords: WIA system, small-medium river, water level, wireless

Research Article  open access
Fast Efficient Keyword Search (FEKS) For Cloud Data Search And Retrieval
Rohan Kindalkar || Prasanna Shete
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 08 ~ Issue 09 (September – 2018)

Abstract

Cloud has become the most popular way of storing the data in the cloud due to huge expansion of Internet. Since the data may contain confidential information, it is encrypted before keeping it in the cloud. But, the user experience is reduced drastically if the user needs to search over the cloud data which is encrypted. In this paper, a framework known as Fast Efficient Keyword Search (FEKS) is developed. It is used for the secure cloud storage and retrieval that enables the searching of encrypted data via keywords. The first part of FEKS uses the Boolean logic operations such as AND, OR and NOT to retrieve relevant and efficient results. The second part uses the n-gram search to return faster and precise results.

Keywords: Cloud Computing, Searchable Encryption, Fast Efficient Keyword Search (FEKS), N-gram Search.

Research Article  open access
Sensor Technologies for Foot Clearance Measurement
M. Venkateswara Rao || M. Malini || N. Santi Priya
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 08 ~ Issue 09 (September – 2018)

Abstract

The study of lower limb trajectory during walking involves many measurements including spatial and temporal parameters. Among the whole range of measurements, the spatial parameters of the foot during the swing phase of the gait cycle, the distance of shoe sole about the ground (or foot clearance) has been identified as a vital gait parameter. Foot clearance during swing phase directly influences the risk of fall among the elderly. The foot clearance also plays a significant role in diagnosis and assessing the treatment process in several neurological disorders, mainly Parkinson's disease (PD). With the advent of MEMS-based sensors, the real-time measurement of foot clearance is made possible, and enormous research is going around..........

Keywords: Foot clearance, gait analysis, Tri-axial accelerometer, Ultrasonic distance measurement, Microwave Doppler, Electric field sensing, Infra-red distance measurement.

Research Article  open access
Script Identification from Handwritten Document Images Using LBP features
G. G. Rajput || Suryakanth Baburao Ummapure
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 08 ~ Issue 09 (September – 2018)

Abstract

In the context of our country, script recognition is a complex task because of more number of prevailing scripts and that many of the official documents are single script and multiscript in nature, English being commonly used along with regional script. Hence, it is pre-requisite to identify the script in the document and then feed the document to respective OCR for further processing. Texture of a script is a unique feature that can be used to identify the script type. Recently, local binary pattern (LBP) operator is extensively used in extracting statistical based texture features because of its simplicity in implementation and robustness to changes in neighborhood intensity values. In this paper, we explore the significance of LBP operator for script identification. Performing connected component analysis on handwritten document images..........

Keywords: Script identification, bi-script, LBP, K-NN, SVM.

Research Article  open access
Statistical Analysis of Utility Unplanned Power Outages & its Influence on Hosiery Industry of Punjab, India- A Case Study
Ishpreet Singh || Dr. S.S. Jolly || Dr. Harpuneet Singh
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 08 ~ Issue 09 (September – 2018)

Abstract

One of the most common obstacles confronted by the industry in developing countries are inadequate power supply. As the power demand increases with time the unwavering quality of power supply from feeder's turns into an essential issue. In this paper, feeder reliability study has been carried out focusing on unplanned outages. This study would help to find the trend of outage over past few years from 2012 to 2015 and includes formulation of hypothesis studying power outage effect year wise, season wise and reason based supporting the results with single factor ANOVA analysis. Cost aspect is also included by considering the important parameters that are affected in industry due to these outages connected with same feeder and their conversion is calculated time wise range considering various debts.

Keywords: Power, Outages, Feeder, Rupee (Rs.), PSPCL, Heat map, ANOVA.

Research Article  open access
Comparison Of Student Academic Performance On Different Educational Datasets Using Different Data Mining Techniques
Mrs. K. Deepika || Dr. N Sathyanarayana
India
Paper Indexed : : 03.3005/xxxxxxx
International Journal of Computational Engineering Research, Volume 08 ~ Issue 09 (September – 2018)

Abstract

Educational data mining focus on developing different methods for solving educational problems which are hidden in an education field. The major problem which is faced in an education field is student dropouts or failure. There are many factors which are influencing the student dropouts. Many Data mining methods are used for identifying and predicting student's failures. In this paper comparison of different educational datasets like UCI, Kaggle is used to analyze the attributes which are causing an impact for student academic failures. How many data mining techniques are applied to these datasets and the results analysis among these two datasets are made. From the comparison, it is observed that parent responsibility attributes' has more impact on student academic performance. From the result analysis of both datasets, Decision Tree classifier performs high prediction on student performance.

Keywords: Business Intelligence in Education, Educational Data Mining, E-learning, Student Performance Prediction, Classification, Behavioral Factors.