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29,922 Article Results

A feasibility study of electrical energy generation from municipal solid waste in Iraq: Najaf case study

10.11591/ijece.v10i4.pp3403-3411
Othman M. Anssari , Esam A. Alkaldy , Naseem Almudhaffar , Abbas Nasir AlTaee , Nabeel Salih Ali
In several developing countries, the electricity crisis obstructs both socio-economic and technological sustainable evolution. Also, it leads to reducing job availability due to shut down several industries or relocate to neighbouring countries to such an issue. A Najaf City is an important holy and tourist city in the middle of Iraq country. Indeed, waste management in An Najaf City needs to be reconsidered to be used as an energy source. In this article, we investigated and listed the waste quantity which produced recently (one year) respect to waste types and types of content. Data collected from the waste products for one year and are used as a key factor to study the feasibility of generating electrical energy from collected MSWs. The proposed model was simulated and tested respect to cost analysis factor of the suggested power plant by Homer pro simulation software. Results were very encouraging and competitive to the current energy production cost based on the production cost of the Kwh prospective among the conventional methods in Iraq. The proposed scenario provide proper and secure waste proposal technique with low-cost.
Volume: 10
Issue: 4
Page: 3403-3411
Publish at: 2020-08-01

An automated approach to fix buffer overflows

10.11591/ijece.v10i4.pp3777-3787
Aamir Shahab , Muhammad Nadeem , Mamdouh Alenezi , Raja Asif
Buffer overflows are one of the most common software vulnerabilities that occur when more data is inserted into a buffer than it can hold. Various manual and automated techniques for detecting and fixing specific types of buffer overflow vulnerability have been proposed, but the solution to fix Unicode buffer overflow has not been proposed yet. Public security vulnerability repository e.g., Common Weakness Enumeration (CWE) holds useful articles about software security vulnerabilities. Mitigation strategies listed in CWE may be useful for fixing the specified software security vulnerabilities. This research contributes by developing a prototype that automatically fixes different types of buffer overflows by using the strategies suggested in CWE articles and existing research. A static analysis tool has been used to evaluate the performance of the developed prototype tools. The results suggest that the proposed approach can automatically fix buffer overflows without inducing errors.
Volume: 10
Issue: 4
Page: 3777-3787
Publish at: 2020-08-01

The mediating role of perceived administrative support for the effect of job motivation on organizational identification

10.11591/ijere.v9i3.20440
Gökçe Özdemir
In this study, the mediating role of perceived administrative support for the effect of teachers’ job motivation on their organizational identification perceptions was investigated. For this purpose, in mind, the opinions of 320 kindergarten teachers in 304 schools from 13 different school districts of Şahinbey/Gaziantep were received. However, 233 scales were taken into consideration. The research data were collected through Job Motivation Scale (JMS), Organizational Identification Scale (OIS) and Perceived Administrative Support Scale (PASS). Descriptive statistics, correlation analysis, multiple regression analysis, and path analysis were used in data analysis. Analysis results revealed that the job motivation perceptions of teachers were high. In addition, it was revealed that the participants also had high scores for organizational identification and perceived administrative support. Correlation analyses yielded positive, moderate and significant relationships between the research variables. Path analysis uncovered that perceived administrative support had a “partial mediating” role for the relationship between job motivation and organizational identification. Based on research findings, it was concluded that the effect of job motivation on teachers’ identification with their organizations was realized through perceived administrative support, albeit partially.
Volume: 9
Issue: 3
Page: 539-547
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

Color moment and gray level co-occurrence matrix in classification of soil organic matter for patchouli plantation

10.11591/ijeecs.v19.i2.pp983-991
Candra Dewi , Akbar Grahadhuita , Lailil Muflikhah
Patchouli is one of the essential plants that have the most potential and widely cultivated in Indonesia. Patchouli is greedily absorbing soil nutrients and organic matter. Therefore, the selection of soil with high organic matter will maximize the patchouli’s productivity. This paper aims to facilitate soil’s organic matter identification by classifying soil image based on the combination of color and texture features. The color feature extraction was done using the Color Moments method and the texture feature was done using gray level co-occurrence matrix (GLCM) method. The selection of features was performed to obtain the best combination of color and texture features. The selected features then was used as input of classification by using modified K-nearest neighbor (MKNN). The samples of soil that used as data were taken from several districts in Blitar, East Java province. The testing result of this research showed the highest accuracy of 93,33% by using 180 training data, and also particular color and texture feature combination.
Volume: 19
Issue: 2
Page: 983-991
Publish at: 2020-08-01

Dynamic resource allocation for opportunistic software-defined IoT networks: stochastic optimization framework

10.11591/ijece.v10i4.pp3854-3861
Sharhabeel H. Alnabelsi , Haythem A. Bany Salameh , Zaid M. Albataineh
Several wireless technologies have recently emerged to enable efficient and scalable internet-of-things (IoT) networking. Cognitive radio (CR) technology, enabled by software-defined radios, is considered one of the main IoT-enabling technologies that can provide opportunistic wireless access to a large number of connected IoT devices. An important challenge in this domain is how to dynamically enable IoT transmissions while achieving efficient spectrum usage with a minimum total power consumption under interference and traffic demand uncertainty. Toward this end, we propose a dynamic bandwidth/channel/power allocation algorithm that aims at maximizing the overall network’s throughput while selecting the set of power resulting in the minimum total transmission power. This problem can be formulated as a two-stage binary linear stochastic programming. Because the interference over different channels is a continuous random variable and noting that the interference statistics are highly correlated, a suboptimal sampling solution is proposed. Our proposed algorithm is an adaptive algorithm that is to be periodically conducted over time to consider the changes of the channel and interference conditions. Numerical results indicate that our proposed algorithm significantly increases the number of simultaneous IoT transmissions compared to a typical algorithm, and hence, the achieved throughput is improved.
Volume: 10
Issue: 4
Page: 3854-3861
Publish at: 2020-08-01

Dual-layer remote phosphor structure: a novel technique to enhance the color quality scale and luminous flux of WLEDs

10.11591/ijece.v10i4.pp4015-4022
Phung Ton That , Thuc Minh Bui , Nguyen Thi Phuong Loan , Phan Xuan Le , Nguyen Doan Quoc Anh , Le Van Tho
The effects of red light-emitting phosphor CaMgSi2O6:Eu2+,Mn2+ on the optical properties of single-layer remote phosphor structure (SRPS) and dual-layer remote phosphor structure (DRPS) are the focus of this study. The differences in color quality and luminous flux (LF) of white light-emitting diodes (WLEDs) between these two structures are also revealed and demonstrated based on the Mie theory. SRPS consists of one mixed phosphor layer betweenCaMgSi2O6:Eu2+,Mn2+ andYAG:Ce3+particles, while DRPS includes two separated layers: red phosphor layer and yellow phosphor layer. In this work, 5% SiO2 is added into the phosphor layers to increase scattering abilities. Discrepancies in structures greatly affect the optical characteristics of WLEDs. The results showed that the color rendering index (CRI) increased with the concentration in both structures with nearly equal values. Meanwhile, color quality scale (CQS) of DPRS is 74 at ACCTs ranging from 5600K to 8500K, higher than CQS of SRPS which is only 71 at 8500K. In addition, the luminous flux of DRPS is significantly higher than SRPS at 2% -14% of CaMgSi2O6:Eu2+,Mn2+. In summary, DRPS is better for color quality and lumen outputin comparison to SRPS and adding the right amount of red phosphor can enhance CQS and LF.
Volume: 10
Issue: 4
Page: 4015-4022
Publish at: 2020-08-01

End-to-end performance of DF multihop hybrid RF/FSO system using MPPM coding and MIMO technique under dependent GG turbulence channels

10.11591/ijeecs.v19.i2.pp811-818
Hechmi Saidi , Noureddine Hamdi
The paper presents a BER analysis for hybrid radio frequency/multihop free space optics, known as RF/FSO, communication system benefiting from multiple input multiple output (MIMO) configuration but impaired by gamma-gamma, known as GG, turbulence. Authors deploy Multiple Pulse Position Modulation, known as M-PPM, like a signaling technique. Furthermore, the exact as well as approximated amounts of symbol-error rates, known as SERs, are both judged in this work. A closed form formula related to the whole probability density function, called PDF, for our designed system is derived. Such interesting approach provides to us better quality of service by combating atmospheric turbulence.
Volume: 19
Issue: 2
Page: 811-818
Publish at: 2020-08-01

The role of parent-child relationship, school climate, happiness, and empathy to predict cyberbullying behavior

10.11591/ijere.v9i3.20299
Triantoro Safaria , Hadi Suyono
The lack of research on cyberbullying among Indonesian adolescents has become one of the critical arguments of this research. This study aimed to discover the factors that contribute to cyberbullying. This study took samples of students from three schools. The sample was 112 junior to senior high school students. The findings of this study indicate that school climate, parent-child relationship, and empathy have a significant role that encourages cyberbullying.
Volume: 9
Issue: 3
Page: 548-557
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

∈φ-contraction and some fixed point results via modified ω-distance mappings in the frame of complete quasi metric spaces and applications

10.11591/ijece.v10i4.pp3839-3853
Kamaleldin Abodayeh , T. Qawasmeh , W. Shatanawi , A. Tallafha
In this Article, we introduce the notion of an ∈φ-contraction which based on modified ω-distance mappings and employ this new definition to prove some fixed point result. Moreover, we introduced an interesting example and an application to highlight the importance of our work.
Volume: 10
Issue: 4
Page: 3839-3853
Publish at: 2020-08-01

Enhancement of power quality using microprocessor based shunt active power filter for unbalanced load

10.11591/ijece.v10i4.pp3393-3402
Madhu B. R. , Dinesh M. N. , Tsewang Thinlas , Deril Menezes
Power quality is the most significant factor of power sector. The end user equipment such as induction motor, inverters, rectifiers inject harmonics into power system that influences the quality of power delivered. The presence of harmonics forces the use of instantaneous reactive power theory to calculate instantaneous power that helps in finding the compensating currents to eliminate harmonics. The control action required by active filter is accomplished by STM32F303RET6 microcontroller. Single phase induction motor is used as a dynamic nonlinear load in one of the three phases and resistive loads on the other two phases. TRIAC based RC triggering circuit was used to control the single phase induction motor. This paper presents the simulation and hardware implementation of shunt active power filter for 3 phase 4 wire unbalanced system. The hardware results show that THD in the source side has been reduced from 50.7% to 9.6% by implementing the SAPF.
Volume: 10
Issue: 4
Page: 3393-3402
Publish at: 2020-08-01

Dynamic assessment effect on speaking performance of Indonesian EFL learners

10.11591/ijere.v9i3.20466
Fahmi Fahmi , Bambang Widi Pratolo , Nurul Amalia Zahruni
The research concerned the application of Dynamic Assessment (DA) in English Language Teaching (ELT) which based on Vygotsky’s theory, namely Zone of Proximal Development (ZPD). The research was meant to investigate the effect of DA in improving teaching and learning speaking in Indonesia especially English as a Foreign Language (EFL) learners in university. The research was conducted using a qualitative method by involving four Indonesian university learners in the first semester. The participants received the same treatments through pre-test and self-reflection, feedback and knowledge expansion, post-test and self-reflection, post-feedback, and semi-structured interviews. The instruments were used to analyze the learners’ non-fluency and mastery problem. The analysis showed that the learners’ speaking performance was improved after experiencing DA sessions. The results of the test and self-reflection showed significant improvement in their speaking. The finding showed some positive effects of DA on EFL learners’ speaking performance. In interviews, learners showed positive experiences and attitude toward DA since it served them a comfortable, structured, practical, and meaningful platform to recognize their speaking behavior, weaknesses, strength, and needs. Furthermore, it also helped them to get the objective feedbacks with less anxiety. The researchers conclude that DA can be applied as a primary alternative assessment in English speaking practices.
Volume: 9
Issue: 3
Page: 778-790
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

The TAWOCK conceptual model at content knowledge for professional teaching in vocational education

10.11591/ijere.v9i3.20561
Zainal Arifin , Muhammad Nurtanto , Warju Warju , Rabiman Rabiman , Nur Kholifah
Now days, the integration of technology in the concept of learning is the trend in global education. The conceptual framework model is a general reference, and the only concept is Technology, Pedagogy, and Content Knowledge (TPACK). However, vocational education has knowledge of specific content, so adjusting conceptual models in professional learning is important to learn and offer. The purpose of this study is to evaluate the concept of TPACK into the concept of vocational education to improve the professionalism of vocational teachers in content knowledge. The author discusses the knowledge structure of vocational fields that are built based on work, content, technology, and the suitability of the learning approach. Based on the results of the article found a new construction in building knowledge in the field of vocational education with special expertise characteristics and shifting pedagogical concepts towards andragogy in learning concept. The results of the analysis recommend the TPACK concept transformed into the Technology, Andragogy, Work, and Content Knowledge (TAWOCK) concept in vocational learning.
Volume: 9
Issue: 3
Page: 697-703
Publish at: 2020-08-01
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