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29,734 Article Results

Convolutional neural network vs bag of features for bambara groundnut leaf disease recognition

10.11591/ijeecs.v14.i1.pp368-374
Hafizatul Hanin Hamzah , Nurbaity Sabri , Zaidah Ibrahim , Dino Isa
This paper investigates bambara groundnut leaf disease recognition using two popular techniques known as Convolutional Neural Network (CNN) and Bag of Features (BOF) with Speeded-up Robust Feature (SURF) and Support Vector Machine (SVM) classifier.  Leaf disease recognition has attracted many researchers because the outcome is useful for farmers. One of the crops that provide high income for farmers is bambara groundnut but the leaves are easily infected with diseases especially after the rain.  This could affect the crop productivity.  Thus, automatic disease recognition is crucial.  A new dataset that consists of 400 images of the infected and non-infected leaves of bambara groundnut has been constructed. The experimental results indicate that both of these techniques produce excellent leaf disease recognition accuracy.
Volume: 14
Issue: 1
Page: 368-374
Publish at: 2019-04-01

Modeling frequency response of transformer winding to investigate the influence of RLC

10.11591/ijeecs.v14.i1.pp219-229
S Al-Ameri , M. F. M. Yousof , Norhafiz Azis , S. Avinash , M. A. Talib , Ali. A. Salem
Frequency response measurements are used for power transformer winding failures detection. The variation between frequency responses indicate mechanical changes in the transformer winding. One method to investigate winding failures in transformer is to develop a reliable circuit model which can simulate the frequency response of an actual winding. The main reason to use the model is because it is expensive to create damages on an actual winding. This paper proposes n-stages circuit ladder network to simulate the response of a winding which has unique design. It presents a new technique to calculate the resistance, inductance and capacitance of the winding. Then, the relationship between the RLC parameters and the frequency response is studied. The winding chosen in this investigation is a single phase 33kV transformer winding. The simulated frequency response was compared with the measured response to verify the proposed model. The model can give a comprehensive understanding about the effect of RLC parameters on the frequency response.
Volume: 14
Issue: 1
Page: 219-229
Publish at: 2019-04-01

System performance analysis of hybrid time-power switching protocol of EH bidirectional relaying network in amplify-and-forward mode

10.11591/ijeecs.v14.i1.pp118-126
Phu Tran Tin , Minh Tran , Tan N. Nguyen , Thanh-Long Nguyen
In this paper, we investigate system performance in term of throughput and ergodic capacity of the hybrid time-power switching protocol of energy harvesting bidirectional relaying network. In the first stage, the analytical expression of the system throughput and ergodic capacity of the model system is proposed and derived. In this analysis, both delay-limited and delay-tolerant transmission modes are presented and considered. After that, the effect of various system parameters on the proposed system is investigated and demonstrated by Monte-Carlo simulation. Finally, the results show that the analytical mathematical and simulated results match for all possible parameter values for both schemes.
Volume: 14
Issue: 1
Page: 118-126
Publish at: 2019-04-01

A comprehensive survey on cross-language information retrieval system

10.11591/ijeecs.v14.i1.pp127-134
Gouranga Charan Jena , Siddharth Swarup Rautaray
Cross language information retrieval (CLIR) is a retrieval process in which the user fires queries in one language to retrieve information from another (different) language. The diversity of information and language barriers are the serious issues for communication and cultural exchange across the world. To solve such barriers, Cross language information retrieval system, are nowadays in strong demand. CLIR is a subset of Information Retrieval (IR) system. Information Retrieval deals with finding useful information from a large collection of unstructured, structured and semi-structured data to a user query where the query is a set of keywords. Information Retrieval can be classified into different classes such as Monolingual information retrieval, Bi-Lingual Information Retrieval, Multilingual information retrieval and Cross language information retrieval. This paper focuses on the various IR variants and techniques used in CLIR system. Further, based on available literature, a number of challenges and issues in CLIR have been identified and discussed. It gives an overview of the advantages, limitations, tools available in CLIR research. It also describes new application areas of CLIR such as medical, multimedia, question answering system etc. The need for exploring and building more specialized information system that enable speakers of an Odia language to discover valuable information beyond linguistic and cultural barriers. This study is aimed at building an experimental CLIR system between one of the under-resourced language (i.e. Odia) and one of the most commonly used online language (i.e. English) in future.
Volume: 14
Issue: 1
Page: 127-134
Publish at: 2019-04-01

Impact of rain weather over free space optic communication transmission

10.11591/ijeecs.v14.i1.pp303-310
A.K Rahman , N Julai , M. Jusoh , C.B.M Rashidi , S.A Aljunid , Anuar M.S , M.F Talib , Nurdiani Zamhari , S.K Sahari , K.F. Tamrin , Rudiyanto P. Jong , D.N.A Zaidel , N.A.A Mohtadzar , M.R.M Sharip , Y.S Samat
This paper focuses the rain effect over FSO link medium in Malaysia environment. In this work, a rain data samples that collected from Malaysian Meteorological Department (MMD) to determine the scattering coefficient, atmospheric attenuation and total attenuation. From the analysis, the precipitation rate give different impact over FSO link which can cause the attenuation and bit error rate increase. The results also show the comparison parameter for optimal geometrical loss such as beam divergence, aperture size and receiver sensitivity.
Volume: 14
Issue: 1
Page: 303-310
Publish at: 2019-04-01

Managing usability evaluation practices in agile development environments

10.11591/ijece.v9i2.pp1288-1297
Aziz Bin Deraman , Fouad Abdulameer Salman
Usability evaluation is a core usability activity that minimizes risks and improves product quality. The returns from usability evaluation are undeniable. Neglecting such evaluation at the development stage negatively affects software usability. In this paper, the authors develop a software management tool used to incorporate usability evaluation activities into the agile environment. Using this tool, agile development teams can manage a continuous evaluation process, tightly coupled with the development process, allowing them to develop high quality software products with adequate level of usability. The tool was evaluated through verification, followed by the validation on satisfaction. The evaluation results show that the tool increased software development practitioner satisfaction and is practical for supporting usability work in software projects. 
Volume: 9
Issue: 2
Page: 1288-1297
Publish at: 2019-04-01

Family relation and STR-DNA matching using fuzzy inference

10.11591/ijece.v9i2.pp1335-1345
Maria Susan Anggreainy , M. Rahmat Widyanto , Belawati Widjaja , Nurtami Soedarsono , Putut Tjahjo Widodo
Deoxyribose Nucleic Acid (DNA) are the basic elements that make up a whole section of an individual. The basic elements store information that is unique to each individual and will be passed down the generations. DNA also helps in identifying the father in paternity testing, locating missing person investigations, identifying victims in mass disasters. Identification of the victims has a problem if the comparison the father and mother no instance the victim’s parents have died or are very far away from where the victim. Therefore, it is necessary to try to identify Short Tandem Repeat (STR) Inference of live family such as sibling, grandfather/grandmother, uncle/aunt, cousin and nephew. In this paper, we performed a method to measure the similarity of human DNA profiles using fuzzy similarity. In this fuzzy system,  DNA profile data is used as an input that stores human identity along with its DNA profile. The data entered is the result of polymerase chain reaction (PCR) identification which is an electropherogram consisting of 16 loci with two alleles for each locus.  Output in this fuzzy system is the value of individual similarity with reference and with similarity levels, namely small, medium and high.
Volume: 9
Issue: 2
Page: 1335-1345
Publish at: 2019-04-01

Hybrid backpropagation neural network-particle swarm optimization for seismic damage building prediction

10.11591/ijeecs.v14.i1.pp360-367
Marina Yusoff , Faris Mohd Najib , Rozaina Ismail
The evaluation of the vulnerability of buildings to earthquakes is of prime importance to ensure a good plan can be generated for the disaster preparedness to civilians. Most of the attempts are directed in calculating the damage index of buildings to determine and predict the vulnerability to certain scales of earthquakes. Most of the solutions used are traditional methods which are time consuming and complex. Some of initiatives have proven that the artificial neural network methods have the potential in solving earthquakes prediction problems. However, these methods have limitations in terms of suffering from local optima, premature convergence and overfitting. To overcome this challenging issue, this paper introduces a new solution to the prediction on the seismic damage index of buildings with the application of hybrid back propagation neural network and particle swarm optimization (BPNN-PSO) method. The prediction was based on damage indices of 35 buildings around Malaysia. The BPNN-PSO demonstrated a better result of 89% accuracy compared to the traditional backpropagation neural network with only 84%. The capability of PSO supports fast convergence method has shown good effort to improve the processing time and accuracy of the results.
Volume: 14
Issue: 1
Page: 360-367
Publish at: 2019-04-01

The effectiveness of frog VLE implementation: students’ perspective

10.11591/ijeecs.v14.i1.pp381-387
Rogayah Abdul Majid , Juhaida Che Hasim
This paper presents the effectiveness of the Frog VLE implementation from students’ perspectives. Virtual Learning Environment (VLEs) is an online systems supporting interactions between and amongst learners and teachers in school. The Frog VLE is a web-based learning system that replicates real life learning by incorporating virtual learning equivalent of traditional concepts of education with the aim to  enhance the learning experience beyond the bounded classroom background. Previous studies have identified some difficulties in the Frog VLE implementation such as competency of the teachers and student, facilities and infrastructure of implementing the Frog VLE in school. Therefore, the aim of this study is to measure the effectiveness of the Frog VLE implementation from student perspective as VLE platform may lead to the performance improvement among the students. A survey was conducted with 315 participants,  consists of Year 4 and Year 5 primary school students in Shah Alam. The result of the study shows that from the “nature of student self, teacher’s competency, useful and ease of use of the application, and conducive learning environment have improve students’ academic performance and motivation.
Volume: 14
Issue: 1
Page: 381-387
Publish at: 2019-04-01

Paddy field classification with MODIS-terra multi-temporal image transformation using phenological approach in Java Island

10.11591/ijece.v9i2.pp1346-1358
Muhammad Dimyati , Kustiyo Kustiyo , Ratih Dewanti Dimyati
This paper presents the paddy field classification model using the approach based on periodic plant life cycle events and how these elevations in climate as well as habitat factors, such as elevation. The data used are MODIS-Terra two tiles of H28v09 and H29v09 of 2016, consist of 46 series of 8-daily data, with 500 meter resolution in Java region. The paddy field classification method based on the phenological model is done by Maximum Likelihood on the transformed annual multi-temporal image of the reflectance data, index data, and the combination of reflectance and index data. The results of the study showed that, with the reference of the Paddy Field Map from the Ministry of Agriculture (MoA), the overall accuracies of the paddy field classification results using the combination of reflectance and index data provide the highest (85.4%) among the reflectance data (83.5%) and index data (81.7%). The accuracy levels were varied; these depend on the slope and the types of paddy fields. Paddy fields on the slopes of 0-2% could be well identified by MODIS-Terra data, whereas it was difficult to identify the paddy fields on the slope >2%. Rain-fed lowland paddy field type has a lower user accuracy than irrigated paddy fields. This study also performed correlation (r2) between the analysis results and the statistical data based on district and provincial boundaries were >0.85 and >0.99 respectively. These correlations were much higher than the previous study results, which reached 0.49-0.65 (hilly-flat areas of county-level), and 0.80-0.88 (hilly-flat areas of provincial level) for China, and reached 0.44 for Indonesia.
Volume: 9
Issue: 2
Page: 1346-1358
Publish at: 2019-04-01

Music fingerprinting based on bhattacharya distance for song and cover song recognition

10.11591/ijece.v9i2.pp1036-1044
Riyanarto Sarno , Dedy Rahman Wijaya , Muhammad Nezar Mahardika
People often have trouble recognizing a song especially, if the song is sung by a not original artist which is called cover song. Hence, an identification system might be used to help recognize a song or to detect copyright violation. In this study, we try to recognize a song and a cover song by using the fingerprint of the song represented by features extracted from MPEG-7. The fingerprint of the song is represented by Audio Signature Type. Moreover, the fingerprint of the cover song is represented by Audio Spectrum Flatness and Audio Spectrum Projection. Furthermore, we propose a sliding algorithm and k-Nearest Neighbor (k-NN) with Bhattacharyya distance for song recognition and cover song recognition. The results of this experiment show that the proposed fingerprint technique has an accuracy of 100% for song recognition and an accuracy of 85.3% for cover song recognition.
Volume: 9
Issue: 2
Page: 1036-1044
Publish at: 2019-04-01

Compared to wireless deployment in areas with different environmentse

10.11591/ijece.v9i2.pp934-940
Inaam Abbas Hieder
In the mobile phone system, it is highly desirable to estimate the loss of the track not only to improve performance but also to achieve an accurate estimate of financial feasibility; the inaccurate estimate of track loss either leads to performance degradation or increased cost. Various models have been introduced to accurately estimate the path loss. One of these models is the Okomura / Hata model, which is recommended for estimating path loss in cellular systems that use micro cells. This system is suitable for use in a variety of environments. This study examines the comparison of path loss models for statistical analysis derived from experimental data collected in urban and suburban areas at frequencies of 150-1500 MHz’s The results of the measurements were used to develop path loss models in urban and suburban areas. The results showed that Pathloss increases in urban areas respectively.
Volume: 9
Issue: 2
Page: 934-940
Publish at: 2019-04-01

Transient stability enhancement using thyristor controlled series compensator

10.11591/ijece.v9i2.pp884-893
Surender Reddy Salkuti
Stability is an important issue which determines the stable operation of power system. At present, the most practical available method of transient stability analysis is time domain simulation, in which the non-linear differential equations are solved by step by step method or network reduction techniques. In this paper, FACTS devices are used  in the existing system for effective utilization of existing transmission resources. In this paper, the studies have been carried out in order to improve the transient stability of 5 bus system, and Western System Coordinating Council (WSCC) 9 bus system with fixed compensation on various lines, and the optimal location has been investigated for better results. To improve the transient stability margin further, a Thyristor Controlled Series Compensator (TCSC) has been used, and the results shows the effectiveness of the application of TCSC in improving the transient stability of power system.
Volume: 9
Issue: 2
Page: 884-893
Publish at: 2019-04-01

Normal and abnormal red blood cell recognition using image processing

10.11591/ijeecs.v14.i1.pp96-100
Hajara Aliyu Abdulkarim , Rubita Sudirman , Mohd Azhar Abdul Razak
In medical field, the recognition of red blood cells (RBC) are used as an indicator to detect the type of diseases such as anaemia, malaria and leukaemia etc. The problems using manual detection of normal and abnormal RBCs under the microscope is tend to give inaccurate result and errors. This paper proposed a method to recognize the normal and abnormal shaped RBCs image by using Form Factor as feature descriptor. Detecting normal cells of RBCs indicate a healthy patient and abnormal cells indicate presence of disease. And is very important in medical field to detect abnormal condition in early stage because it saves and protects human lives. The patients waiting time for blood test is more because the time taking to generate the result of the patient is high due to high demand and less equipment this method is used in order to improve the accuracy of the existing one and 94% accuracy was achieved in the detection.
Volume: 14
Issue: 1
Page: 96-100
Publish at: 2019-04-01

New active diode with bulk regulation transistors and its application to integrated voltage rectifier circuit

10.11591/ijece.v9i2.pp902-908
Ryoichi Miyauchi , Koichi Tanno , Hiroki Tamura
This paper describes new active diode with bulk regulation transistors and its application to the integrated voltage rectifier circuit for a biological signal measurement system with smartphone. The conventional active diode with BRT has the dead region which causes leak current, and the output voltages of the application (e.g. voltage rectifier circuit) decrease. In order to overcome these problem, we propose new active diode with BRT which uses the control signal from the comparator of active diode to eliminate the dead region. Next we apply the proposed active diode with BRT to the integrated voltage rectifier circuit. The proposed active diode with BRT and voltage rectifier circuit were fabricated using 0.6 μm standard CMOS process. From experimental results, the proposed active diode with BRT eliminates the dead region perfectly, and the proposed voltage rectifier circuit generates + 2.86 V (positive side) and - 2.70 V (negative side) under the condition that the amplitude and frequency of the input sinusoidal signal are 1.5 V and 10 kHz, respectively, and the load resistance is 10 kΩ.
Volume: 9
Issue: 2
Page: 902-908
Publish at: 2019-04-01
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