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29,922 Article Results

Novel holistic architecture for analytical operation on sensory data relayed as cloud services

10.11591/ijece.v10i4.pp4322-4330
Manujakshi B. C , K. B. Ramesh
With increasing adoption of the sensor-based application, there is an exponential rise of the sensory data that eventually take the shape of the big data. However, the practicality of executing high end analytical operation over the resource-constrained big data has never being studied closely. After reviewing existing approaches, it is explored that there is no cost effective schemes of big data analytics over large scale sensory data processiing that can be directly used as a service. Therefore, the propsoed system introduces a holistic architecture where streamed data after performing extraction of knowedge can be offered in the form of services. Implemented in MATLAB, the proposed study uses a very simplistic approach considering energy constrained of the sensor nodes to find that proposed system offers better accuracy, reduced mining duration (i.e. faster response time), and reduced memory dependencies to prove that it offers cost effective analytical solution in contrast to existing system.
Volume: 10
Issue: 4
Page: 4322-4330
Publish at: 2020-08-01

Modification level and test of scientific argumentation skill: Development and validity

10.11591/ijere.v9i3.20594
Riki Perdana , Riwayani Riwayani , Jumadi Jumadi , Dadan Rosana
This study focuses on developing the new level of scientific argumentation skills and new items that are feasible and valid for used. There are 195 science students at Islamic State School 1 (MAN 1) Yogyakarta as participant in this study. Random sampling technique was used from the three schools of Islamis State School (MAN) in Yogyakarta, Indonesia. There are seven experts (3 Professor, 2 teachers, and 2 graduate students) reviewed 14 items for the first phase of this study. For the second phase, 98 students answered 14 questions which each questions contain five point (claim, data, backing, warrant and rebuttal). For the third phase, after choosed the best five 5 questions, We asked the others (97 students) to answer those questions. The modification of the level of scientific argumentation skills indicates the ability of students is still low. At level 1 (claims) there were only 38.9% students, level 2 (data) were 21.6% students, level 3 (warrants) 16.6% students, level 4 (backing) 16.2% while level 5 (rebuttal) is the most difficult, for students’ users only by 4.2%. Based on the findings, the test can measure and show with a separate level of students' scientific argumentation skill in this school.
Volume: 9
Issue: 3
Page: 769-777
Publish at: 2020-08-01

Texture classification of fabric defects using machine learning

10.11591/ijece.v10i4.pp4390-4399
Yassine Ben Salem , Mohamed Naceur Abdelkrim
In this paper, a novel algorithm for automatic fabric defect classification was proposed, based on the combination of a texture analysis method and a support vector machine SVM. Three texture methods were used and compared, GLCM, LBP, and LPQ. They were combined with SVM’s classifier. The system has been tested using TILDA database. A comparative study of the performance and the running time of the three methods was carried out. The obtained results are interesting and show that LBP is the best method for recognition and classification and it proves that the SVM is a suitable classifier for such problems. We demonstrate that some defects are easier to classify than others.
Volume: 10
Issue: 4
Page: 4390-4399
Publish at: 2020-08-01

Solving Kuramoto–Sivashinsky equation by the new iterative method and estimate the optimal parameters by using PSO algorithm

10.11591/ijeecs.v19.i2.pp709-714
Karam Adel Abed
In this study, optimal parameters estimation is performed for non-linear (Kuramoto-Sivashinsky) equation using a crossbred method between Particle swarm optimization (PSO) algorithm and (NIM) technique and for the appropriateness we call it (PSO-NIM). It turns out that the optimal parameters significantly improve the solutions when we use a fitness function suitable for the issue. The results confirmed that the get approximate solutions are in suitable pact with the exact solutions and the proposed method provides high accuracy and efficiency in comparison with (NIM) which use traditionally chosen parameters.
Volume: 19
Issue: 2
Page: 709-714
Publish at: 2020-08-01

On some types of slight homogeneity

10.11591/ijece.v10i4.pp4305-4312
Samer Al Ghour , Nahed Al Khatib
As a generalization of the concept SLH space, we introduce the concept of slightly strongly locally homogeneous (SSLH) spaces. Also, we introduce the concepts of slightly dense set as well as slightly separable space, and use them to introduce two new types of slightly countable dense homogeneous spaces. Several results, relationships, examples and counter-examples concerning these concepts are obtained.
Volume: 10
Issue: 4
Page: 4305-4312
Publish at: 2020-08-01

Simulation and optimization of genetic algorithm-artificial neural network based air quality estimator

10.11591/ijeecs.v19.i2.pp775-783
Shirish Pandey , S. Hasan Saeed , N. R. Kidwai
In this work intelligent model for estimation of the concentration of carbon monoxide in a polluted environment is developed on mat Lab platform. The results are validated using data collected from repository linked to University of California. The data records are over the duration of one year using E nose sensor placed in main city of Italy. The records are rectified and segmented at different length to extract the base and divergence values features. An artificial neural network model (ANN) is developed and the result is validated manually. Another optimized genetic algorithm-artificial neural network based air quality estimation model is developed which validate the result using artificial intelligence technique to get a better performance network.
Volume: 19
Issue: 2
Page: 775-783
Publish at: 2020-08-01

Value preferences and requirements of the students attending the regional boarding secondary schools

10.11591/ijere.v9i3.20539
Sibel Yazıcı , Nuray Kurtdede Fidan
The aim of the study was to reveal the preferences and requirements of the students attending the Regional Boarding Secondary Schools (YBO) concerning the values contain in the educational program of the social studies course. The study was designed within the framework of phenomenology which is among the qualitative research methods. The participants of the study are 79 eight grade students attending a regional boarding secondary school in the Turkey. The data of the study are collected through a survey questionnaire with two parts which contains open-ended items. The data were analysed using the descriptive and content analyses. The findings of the study show that the participants do not differ based on gender and the socio-economic background of their families. The frequently preferred values by the participants are found to be attaching importance to the family unity, honesty, sympathy and patriotism. Another finding is that the participants do not provide a clear justification for each of the values they preferred. This suggests that it is difficult to establish a justification for the value. However, requirements value justifications are analyzed, it is seen that students they express the definition of value, its importance and the expectations of having this specific value.
Volume: 9
Issue: 3
Page: 635-643
Publish at: 2020-08-01

Comparative study of the price penalty factors approaches for Bi-objective dispatch problem via PSO

10.11591/ijece.v10i4.pp3343-3349
Mohammed Amine Meziane , Youssef Mouloudi , Abdelghani Draoui
One of the main objectives of electricity dispatch centers is to schedule the operation of available generating units to meet the required load demand at minimum operating cost with minimum emission level caused by fossil-based power plants. Finding the right balance between the fuel cost the green gasemissionsis reffered as Combined Economic and Emission Dispatch (CEED) problem which is one of the important optimization problems related the operationmodern power systems. The Particle Swarm Optimization algorithm (PSO) is a stochastic optimization technique which is inspired from the social learning of birds or fishes. It is exploited to solve CEED problem. This paper examines the impact of six penalty factors like "Min-Max", "Max-Max", "Min-Min", "Max-Min", "Average" and "Common" price penalty factors for solving CEED problem. The Price Penalty Factor for the CEED is the ratio of fuel cost to emission value. This bi-objective dispatch problem is investigated in the Real West Algeria power network consisting of 22 buses with 7 generators. Results prove capability of PSO in solving CEED problem with various penalty factors and it proves that Min-Max price penalty factor provides the best compromise solution in comparison to the other penalty factors.
Volume: 10
Issue: 4
Page: 3343-3349
Publish at: 2020-08-01

The effect of motivation of success of university students on personal-professional competence: Mediation role of lifelong learning tendency

10.11591/ijere.v9i3.20664
Halil Ekşi , Mustafa Özgenel , Esin Metlilo
In this study, the relationship between motivations for success, personal-professional competencies and lifelong learning tendencies of university students were investigated. The study group consists of 344 University students from Turkey and Kosovo. In this research, the collection of data was done by “Personal-Professional Competencies Perception Scale, “Success Oriented Motivation Scale” and “Lifelong Learning Tendency Scale”. In order to determine the relationship between variables in the analysis of the data, correlation analysis was performed and tested with the structural equation model. According to the results of the research; there was a positive significant correlation between motivation for success and personal professional competence, and a positive significant relationship between lifelong learning and personal-professional competence. Motivation for success positively affects personal-professional competencies and lifelong learning tendencies. It has been determined that lifelong learning tendency is a partial tool in this relationship.
Volume: 9
Issue: 3
Page: 583-593
Publish at: 2020-08-01

Vertical intent prediction approach based on Doc2vec and convolutional neural networks for improving vertical selection in aggregated search

10.11591/ijece.v10i4.pp3869-3882
Sanae Achsas , El Habib Nfaoui
Vertical selection is the task of selecting the most relevant verticals to a given query in order to improve the diversity and quality of web search results. This task requires not only predicting relevant verticals but also these verticals must be those the user expects to be relevant for his particular information need. Most existing works focused on using traditional machine learning techniques to combine multiple types of features for selecting several relevant verticals. Although these techniques are very efficient, handling vertical selection with high accuracy is still a challenging research task. In this paper, we propose an approach for improving vertical selection in order to satisfy the user vertical intent and reduce user’s browsing time and efforts. First, it generates query embeddings vectors using the doc2vec algorithm that preserves syntactic and semantic information within each query. Secondly, this vector will be used as input to a convolutional neural network model for increasing the representation of the query with multiple levels of abstraction including rich semantic information and then creating a global summarization of the query features. We demonstrate the effectiveness of our approach through comprehensive experimentation using various datasets. Our experimental findings show that our system achieves significant accuracy. Further, it realizes accurate predictions on new unseen data.
Volume: 10
Issue: 4
Page: 3869-3882
Publish at: 2020-08-01

An analytic hierarchy process for quality action researches in education

10.11591/ijere.v9i3.20626
Alvin Bersabal Barcelona
Teachers are expected to engage in the praxis of educational reform, and one of the resurgent interests in the field of education is the conduct of action researches. In the Philippines and in many parts of the world, teachers are encouraged to perpetuate a culture of conducting action researches to improve the teaching and learning process. Considering the scant literature towards evaluation criteria for quality action researches, this exploratory-sequential mixed method study aims to determine the qualities that research experts perceive to be useful in evaluating action researches. Using Analytic Hierarchy Process, which is a multiple decision-making algorithm, research experts asserted that among the identified evaluation criteria, quality action researches should underscore its contribution to theory and practice, and require actionability and reflexivity among researchers and participants. The findings of this study may be of considerable interest and use to teachers, research authorities, and organizations who would like to ensure that teachers produce quality action research to improve educational practices.
Volume: 9
Issue: 3
Page: 517-523
Publish at: 2020-08-01

The maximum power point tracking based-control system for small-scale wind turbine using fuzzy logic

10.11591/ijece.v10i4.pp3927-3935
Quang-Vi Ngo , Chai Yi , Trong-Thang Nguyen
This paper presents the research on small-scale wind turbine systems based on the Maximum Power Point Tracking (MPPT) algorithm. Then propose a new structure of a small-scale wind turbine system to simplify the structure of the system, making the system highly practical. This paper also presented an MPPT-Fuzzy controller design and proposed a control system using the wind speed sensor for small-scale wind turbines. Systems are simulated using Matlab/Simulink software to evaluate the feasibility of the proposed controller. As a result, the system with the MPPT-Fuzzy controller has much better quality than the traditional control system.
Volume: 10
Issue: 4
Page: 3927-3935
Publish at: 2020-08-01

Teaching challenges on the use of storytelling in elementary science lessons

10.11591/ijere.v9i3.20596
Hajah Nuruljannah Haji Matamit , Roslinawati Roslan , Masitah Shahrill , Hardimah Mohd Said
This study investigated the use of storytelling in teaching elementary science on the topic of ‘Sense Organs’ at the Grade 1 level. A total of 21 students from one of the elementary schools in Brunei Darussalam participated in the study. The qualitative analyses of the observations and video recordings resulted in the classifications of the challenges faced when storytelling was used in the lessons. The four identified categories were the language aspect, development aspect, external challenges and existing knowledge. These categories were then used to investigate further any aspect that would develop the challenges into the teaching and learning of science using storytelling. Despite identifying the challenges in using storytelling in teaching science, storytelling may enhance the students’ understanding of science concepts.
Volume: 9
Issue: 3
Page: 716-722
Publish at: 2020-08-01

Encryption and hiding text using DNA coding and hyperchaotic system

10.11591/ijeecs.v19.i2.pp766-774
Zeena N. Al-Khateeb , Melad Jader
In this paper, a secure data encryption using DNA sequence operation in a new and innovative direction different from the traditional direction, DNA coding uses the eight rules of DNA code based on a sequence of letter in text that provides the possibility of encrypting the same letter or word in more than one form in one text-based on sequence of this letter or word in the text. Then hiding technique implemented based on a hyperchaotic system. To increase the security of encryption text, we use the hyperchaotic system for obtaining the color image position that used to hide on it. The proposed steganography method hides a letter of the encrypted text in each pixel of the cover image, thus giving the possibility of hiding large text data. Some metrics have been applied to the proposed algorithm such as NPCR analyses, MSE, Correlation, and BER, The results of the simulation and security analysis showed that the new DNA coding is suitable for text encryption/decryption and that the super-chaotic map is suitable for hiding/extract the encrypted data, which indicates that the proposed encryption algorithm has a good encryption and hiding effect. Can resist brute statistical attack, force attack, differential.
Volume: 19
Issue: 2
Page: 766-774
Publish at: 2020-08-01

Circular polarization reconfigurable antenna for mid-band 5G applications with a new reconfigurable technique

10.11591/ijeecs.v19.i2.pp802-810
Alaa Imran AL-Muttairi , Malik Jasim Farhan
In this paper, a novel low cost, single-feed, and circular polarization reconfigurable antenna is designed and fabricated for future mid-band 5G applications. An innovative technique is used in this approach, which combines three techniques, namely: polygon U-slot, switchable vertical or horizontal slots, and shorting posts. The proposed antenna can alter its polarization sense between RHCP and LHCP with the ability to adjust the axial ratio position with respect to frequency along the impedance bandwidth of the antenna. The antenna is built on RT/duroid 5880 substrate with a maximum size of (31*31*3.15) .Two real diodes are integrated across the slot to change polarization sense. CST commercial software is used to simulate the antenna, and then it is fabricated and measured practically. Good agreements between the two results are achieved. However, The antenna has impedance bandwidth starting from 3.4995GHz to 3.73GHz with overlapped axial ratio bandwidth of 2.1% for both operation senses. Also, the antenna has good gain, and it has one resonant frequency at 3.6GHz for both operating states.
Volume: 19
Issue: 2
Page: 802-810
Publish at: 2020-08-01
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