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Nolong.in: an android based incident notification application with push notification technology

10.11591/ijece.v9i1.pp485-495
Arthur Bachtiar Gunawan , Seng Hansun , Marcel Bonar Kristanda
In driving, the most important thing to be considered is safety. The incident problem can happen anytime and anywhere without anyone knowing it before, especially in Cikarang where the level of incident is quite high. It is very important for the public community to act and respond quickly at the time on and around the occurring incident. Nolong.in application is an exact solution because it can send real time notifications to its users. This response is meant to assist individuals who have been using Nolong.in to help other users who need urgent help when the time of incident in order to prevent unwanted situations. In this research, push notification method has been implemented by using Firebase Cloud Messaging (FCM). The result of the research is the notification click ratio is 90.91% and the click time is 1 minute and 27 seconds. Based on the questionnaires’ results given to the community conclude that Nolong.in application is very beneficial for Gojek Cikarang community's safety.
Volume: 9
Issue: 1
Page: 485-495
Publish at: 2019-02-01

Energy and Area Effective Hardware Design of Lifting Approach Discrete Wavelet Transform

10.11591/ijres.v7.i3.pp203-214
Khamees Khalaf Hasan , Ibrahim Khalil Salih , Abdumuttalib. A. Hussen
This paper presents low power Discrete Wavelet Transform DWT architecture, comprising of forward and inverse multilevel transform for 5/3 lifting scheme LS based wavelet transform filter. This LS filter consists of integer adder units and binary shifter rather than multiplier and divider units as in the convolution based filters; hence it is more adaptable to energy efficient hardware performance. The proposed architecture is described using the VHDL based methodology. This VHDL code has been simulated and synthesized to achieve the gate level building design which can be organized to be effectively developed in hardware environment. The Quartus II 9.1 software synthesis tools were employed to implement 2D-DWT VHDL codes in Altera Development board DE2, with Cyclone II FPGA device. The proposed LS wavelet architectures can be attained by focusing on the physical FPGA devices to considerably decrease the needed hardware expenditure and power consumption of the design. The utilized logic and register elements of the architecture are 127 slices (only 1%) usage from 33216 and the architecture consumes only 0.033 W. Simulations were performed using different sizes of gray scale images that authenticate the proposed design and attain a speed performance appropriate for numerous real-time applications.
Volume: 7
Issue: 3
Page: 203-214
Publish at: 2019-01-23

Integration of synthetic minority oversampling technique for imbalanced class

10.11591/ijeecs.v13.i1.pp102-108
Noviyanti Santoso , Wahyu Wibowo , Hilda Hikmawati
In the data mining, a class imbalance is a problematic issue to look for the solutions. It probably because machine learning is constructed by using algorithms with assuming the number of instances in each balanced class, so when using a class imbalance, it is possible that the prediction results are not appropriate. They are solutions offered to solve class imbalance issues, including oversampling, undersampling, and synthetic minority oversampling technique (SMOTE). Both oversampling and undersampling have its disadvantages, so SMOTE is an alternative to overcome it. By integrating SMOTE in the data mining classification method such as Naive Bayes, Support Vector Machine (SVM), and Random Forest (RF) is expected to improve the performance of accuracy. In this research, it was found that the data of SMOTE gave better accuracy than the original data. In addition to the three classification methods used, RF gives the highest average AUC, F-measure, and G-means score.
Volume: 13
Issue: 1
Page: 102-108
Publish at: 2019-01-01

Resolution of economic dispatch problem of the morocco network using crow search algorithm

10.11591/ijeecs.v13.i1.pp347-353
Rachid HABACHI , Achraf Touil , Abdellah Boulal , Abdelkabir Charkaoui , Abdelwahed Echchatbi
The economic dispatch problem of power plays a very important role in the exploitation of electro-energy systems to judiciously distribute power generated by all plants. This paper proposes use of Crow Search Algorithm (CSA), for solving the economic dispatch of two electricity networks: a testing system 6 units and the morocco network the crow search algorithm (CSA) is a recently developed metaheuristic search algorithm inspired by the intelligent behavior of crows..The results obtained by CSA are compared with various results obtained in the literature. Simulation results shows that using CSA can lead to finding stable and adequate power generated that can fulfill the need of both the civil and industrial areas.
Volume: 13
Issue: 1
Page: 347-353
Publish at: 2019-01-01

Performance evaluation of cloud service with hadoop for twitter data

10.11591/ijeecs.v13.i1.pp392-404
Ganesh Panatula , K Sailaja Kumar , D Evangelin Geetha , T V Suresh Kumar
In the era of rapid growth of cloud computing, performance calculation of cloud service is an essential criterion to assure quality of service. Nevertheless, it is a perplexing task to effectively analyze the performance of cloud service due to the complexity of cloud resources and the diversity of Big Data applications. Hence, we propose to examine the performance of Big Data applications with Hadoop and thus to figure out the performance in cloud cluster. Hadoop is built based on MapReduce, one of the widely used programming models in Big Data. In this paper, the performance analysis of Hadoop MapReduce WordCount application for Twitter data is presented. A 4-node in-house Hadoop cluster was setup and experiment was carried out for analyzing the performance. Through this work, it was concluded that Hadoop is efficient for BigData applications with 3 or more nodes with replication factor 3. Also, it was observed that system time was relatively more compared to user time for BigData applications beyond 80GB. This experiment had also thrown certain pattern on actual data blocks used to process the WordCount application. 
Volume: 13
Issue: 1
Page: 392-404
Publish at: 2019-01-01

A statistical jacobian application for power system optimization of voltage stability

10.11591/ijeecs.v13.i1.pp331-338
Raja Masood Larik , Mohd. Wazir Mustafa , Manoj Kumar Panjwani
Despite a tremendous development in optimal power flow (OPF), owing to the obvious complexity, non-linearity and unwieldy size of the large interconnected power systems, several problems remain unanswered in the existing methods of OPF. Seizing specific topics for maximizing voltage stability margin and its implementation, a detailed literature survey discussing the existing methods of solution and their drawbacks is presented in this research. The phenomenon of voltage collapse in power systems, methods to investigate voltage collapse, and methods related to voltage stability are briefly surveyed. Finally, the study presents a statistical method for analyzing a power system through eigenvalue analysis in relation to the singular values of the load flow Jacobian. Future study may focus on changes in theories in conjunction with large power systems.
Volume: 13
Issue: 1
Page: 331-338
Publish at: 2019-01-01

Simplification of application operations using cloud and DevOps

10.11591/ijeecs.v13.i1.pp85-93
Anshu Premchand , M. Sandhya , Sharmila Sankar
In our experience of having worked with financial institutions for over 19 calendar years, we have seen that application development, maintenance and operations teams have a very silo-ed existence. In today's ever more fluid market, it is imperative for these teams to be very agile in their response to business needs. While development teams are trying to adopt agile and devops practices, operations and maintenance teams are sometimes forgotten in this transformation journey even though they play a very crucial role in managing customer facing systems. In this paper, we focus on application operations for their simplification, outline the post production challenges faced by the operations teams, assistance required from the development teams and need for coordination & harmony between application development and operations teams. We use the example of a financial organization where we are currently helping in simplification of application support processes using two key levers of cloud and devops adoption to highlight the path to simplification. We outline the solution levers we used, solution tenets, solution approach and considerations. We also share a target state model and regulated key functions & activities within the model as well as an interim operating model and a target operating model.
Volume: 13
Issue: 1
Page: 85-93
Publish at: 2019-01-01

Improving steering convergence in autonomous vehicle steering control

10.11591/ijeecs.v13.i1.pp279-285
Amir Ashraf Mohamad , Fadhlan Hafizhelmi Kamaru Zaman , Fazlina Ahmat Ruslan
Steering control is a critical design element in autonomous vehicle development since it will determine whether the vehicle can navigate safely or not. For the prototype of UiTM Autonomous Vehicle 0 (UiTM AV0), Vexta motor is used to control the steering whereas Pulse Width Modulation (PWM) signal is responsible to drive the motor. However, by using PWM signal it is difficult to converge to the desired steering angle and furthermore time taken for steering angle to converge is much longer. Thus, Proportional Integral Derivative (PID) has been introduced in this autonomous vehicle steering controller to improve the convergence of the steering. Meanwhile a microcontroller was used to control the Vexta Motor direction and perform the calculation of the desired steering angle. Simulation results showed PID controller showed better time taken and preicison of successful convergence of the desired steering angle compared to the PWM controller.  Analysis results showed that PID controller significantly reduce the overshooting of steering angle and significantly improve the time taken for convergence by up to 37 seconds faster than PWM controller in UiTM AV0.
Volume: 13
Issue: 1
Page: 279-285
Publish at: 2019-01-01

A modified bacterial foraging algorithm based optimal reactive power dispatch

10.11591/ijeecs.v13.i1.pp361-367
Palvai Lokender Reddy , G. Yesuratnam
This article describes an approach for optimal reactive power dispatch problem using a Modified Bacterial Foraging Algorithm. Modified bacterial foraging algorithm introduces a differential evolution operator in chemotaxis to overcome tumble failure in tumble step and accelerates the convergence speed of the original operator. In the new algorithm chaotic dynamics are used to generate initial population to have uniform distribution. The proposed new algorithm is applied to Optimal reactive power dispatch problem with two objective functions; minimization of real power loss and voltage stability L-index. The objective functions are minimized by optimally choosing the control variables such as generator excitations, tap positions of on-load tap changing transformers and switched var compensators. The proposed approach has been evaluated on an IEEE 30 bus standard test system. The performance of the proposed algorithm is compared with other evolutionary computation algorithms in the literature and the effectiveness of the proposed algorithm is demonstrated.
Volume: 13
Issue: 1
Page: 361-367
Publish at: 2019-01-01

Developing audio data hiding scheme using random sample bits with logical operators

10.11591/ijeecs.v13.i1.pp147-154
Mohammed Hatem Ali Al-Hooti , Tohari Ahmad , Supeno Djanali
Sharp development progress of information technology has affected many aspects including data security. This is because classified data are often transferred between systems. In this case, data hiding exists to protect such data. Some methods which have been proposed, however, are not yet optimal concerning the amount of the secret and the quality of the resulted stego data. In this paper, we explore an audio file as the medium to carry the secret data which has been extracted into binary. Before the process begins, the cover is converted to binary and each sample’s bits are divided into two groups, one is used as the location of the embedded 4 bits whereas the second part locates the two bits that are randomly selected as the key. The experimental results have validated that the capacity is high and there is no much impact on the quality. Moreover, compared to the current LSB methods the security is exceedingly enhanced.
Volume: 13
Issue: 1
Page: 147-154
Publish at: 2019-01-01

Development of framework for detecting smoking scene in video clips

10.11591/ijeecs.v13.i1.pp22-26
Poonam Ghuli , Shashank B N , Athri G Rao
According to Global Adult Tobacco Survey 2016-17, 61.9% of people quitting tobacco the reason was the warnings displayed on the product covers. The focus of this paper is to automatically display warning messages in video clips. This paper explains the development of a system to automatically detect the smoking scenes using image recognition approach in video clips and then add the warning message to the viewer.  The approach aims to detect the cigarette object using Tensorflow’s object detection API. Tensorflow is an open source software library for machine learning provided by Google which is broadly used in the field image recognition. At present, Faster R-CNN with Inception ResNet is theTensorflow’s slowest but most accurate model. Faster R-CNN with Inception Resnet v2 model is used to detect smoking scenes by training the model with cigarette as an object.
Volume: 13
Issue: 1
Page: 22-26
Publish at: 2019-01-01

An LED-based visible light communication system for multicast

10.11591/ijeecs.v13.i1.pp265-271
Jong-Sung Lee , Dae-Hee Lee , Sung-Jin Kim , Chang-Heon Oh
Visible Light Communication is a communication method that transmits data through light by pulsing an LED at high speed, performing broadcast communication for all devices existing in its coverage. Broadcast-based Visible Light Communication is limited to application to Internet of Things services, where various applications exist, although all receivers can communicate within the range of light sources. Therefore, this paper proposes an LED based Visible Light Communication system for multicast. The proposed system performs individual multicast by participating in communication only with receivers configured to use a specified ID value input at the transmitting side during data transmission. Experimental results show that the receiver can receive files individually according to a specified ID value.
Volume: 13
Issue: 1
Page: 265-271
Publish at: 2019-01-01

The condition monitoring of diesel engines using acoustic signal analysis

10.11591/ijeecs.v13.i1.pp179-185
Widi Prasetyo , Mudrik Alaydrus
Engine have become one of the supportive asset for many activity and work, therefore engine need attention for its condition. The easiest way to do is through the acoustic sound of the engine itself. Most of the time, the engine sounds are checked using a traditional way that may causing a debate regarding its condition. This is due to no supportive scientific basis to know about engine condition using their own acoustic sound. A value from its frequency pattern is needed as scientific basis to determine an engine condition using acoustic sound. Method of envelope extraction by hilbert transform, fast fourier transform, and correlation coefficient are used to find that value. A series of tests have been carried out on the values that have been found and the result are promising for telling engine condition, but unfortunately the values has not been able to identify type of damage that occur on the engine.
Volume: 13
Issue: 1
Page: 179-185
Publish at: 2019-01-01

Colored object detection using 5 dof robot arm based adaptive neuro-fuzzy method

10.11591/ijeecs.v13.i1.pp293-299
Mujiarto Mujiarto , Asari Djohar , Mumu Komaro , Mohamad Afendee Mohamed , Darmawan Setia Rahayu , W. S. Mada Sanjaya , Mustafa Mamat , Aceng Sambas , Subiyanto Subiyanto
In this paper, an Adaptive Neuro Fuzzy Inference System (ANFIS) based on Arduino microcontroller is applied to the dynamic model of 5 DoF Robot Arm presented. MATLAB is used to detect colored objects based on image processing. Adaptive Neuro Fuzzy Inference System (ANFIS) method is a method for controlling robotic arm based on color detection of camera object and inverse kinematic model of trained data. Finally, the ANFIS algorithm is implemented in the robot arm to select objects and pick up red objects with good accuracy.
Volume: 13
Issue: 1
Page: 293-299
Publish at: 2019-01-01

The patterns of accessing learning management system among students

10.11591/ijeecs.v13.i1.pp15-21
Akibu Mahmoud Abdullahi , Mokhairi Makhtar , Suhailan Safie
Learning Management System (LMS) is an online software that was hosted on a server and designed specifically to manage learners’ information, course registration, learning content, and assessment tool. Educational data mining is a way of evaluating and using methods for examining the unique and large dataset that come from educational field, and applying those in order to understand how students learn and the settings in which they learn. Many students use to miss some of the activities posted by their instructors, due to the short deadline, and they are not accessing the LMS regularly or every day. The purpose of this paper is to explore the way on how student access LMS and which day is the most frequent accessed. The findings show that, the total number of accessing LMS among 33 students is 16060, and the mean is 486.67, S16 recorded the highest number of accessing the LMS (965 access), while S24 as the least number of access (275). And the correlation between Tuesdays is significant, positive and strong correlation with Wednesdays (0.546), and positive, but weak with Thursdays (0.292), Fridays (0.244), Saturdays (0.334), and Sundays (0.291).
Volume: 13
Issue: 1
Page: 15-21
Publish at: 2019-01-01
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