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31,456 Article Results

A malicious URLs detection system using optimization and machine learning classifiers

10.11591/ijeecs.v17.i3.pp1210-1214
Ong Vienna Lee , Ahmad Heryanto , Mohd Faizal Ab Razak , Anis Farihan Mat Raffei , Danakorn Nincarean Eh Phon , Shahreen Kasim , Tole Sutikno
The openness of the World Wide Web (Web) has become more exposed to cyber-attacks. An attacker performs the cyber-attacks on Web using malware Uniform Resource Locators (URLs) since it widely used by internet users. Therefore, a significant approach is required to detect malicious URLs and identify their nature attack. This study aims to assess the efficiency of the machine learning approach to detect and identify malicious URLs. In this study, we applied features optimization approaches by using a bio-inspired algorithm for selecting significant URL features which able to detect malicious URLs applications. By using machine learning approach with static analysis technique is used for detecting malicious URLs applications. Based on this combination as well as significant features, this paper shows promising results with higher detection accuracy.  The bio-inspired algorithm: particle swarm optimization (PSO) is used to optimized URLs features. In detecting malicious URLs, it shows that naïve Bayes and support vector machine (SVM) are able to achieve high detection accuracy with rate value of 99%, using URL as a feature.
Volume: 17
Issue: 3
Page: 1210-1214
Publish at: 2020-03-01

Triggering preservice teachers’ writing skills through genre-based instructional model viewed from creativity

10.11591/ijere.v9i1.20395
Haerazi Haerazi , Lalu Ari Irawan , Taufik Suadiyatno , Heri Hidyatullah
This study was aimed at finding out the effectiveness of genre-based instructional model in the teaching of writing skills viewed from students’ creativity. This study employed a quasi-experimental research design. The samples consisted of two classes in which one class was treated by using genre-based instructional (GBI) model and the second class was subjected to the process-based instruction (PBI) model. The writing test and creativity test were functioned as research instruments to collect the data in both classes. The data were analyzed by using the multifactor analysis of variance (ANOVA). The research finding informed that the GBI model was more effective than the PBI model. It was proved with the value of sig. (0.008) was lower than sig. level 0.05. Thus, students having high creativity have better writing achievement than those who have low creativity and it was proved with the value of sign (0.000) was lower than sig. level 0.05. It means that the effect of instructional model and writing skills rests on the level of students’ creativity. The finding indicates that there is significant interaction between instructional model being applied and creativity in the teaching of writing skills.
Volume: 9
Issue: 1
Page: 234-244
Publish at: 2020-03-01

Quality of school life in Turkey, Finland and South Korea

10.11591/ijere.v9i1.20522
Ayşe Elitok Kesici , Veysel Karani Ceylan
This study was aimed to compare the major studies conducted on the quality of school life in Turkey, Finland and South Korea. The study focuses on which dimensions of quality of school life research in these three countries were examined, their participants, school levels and research methods. This research is in the literature review model. In this context, data were obtained by scanning the related books, theses and articles. In the research, document analysis technique of qualitative research method was used to collect data. Based on the research findings, it is seen that research studies have been conducted in Finland to establish the theoretical framework for conceptualization of the subject. Qualitative, quantitative and mixed methods were used in research studies conducted in South Korea. In the research conducted in three countries, the concept of self, bullying, implicit program, gender, socio-economic level, classmate, teacher and family support, self-efficacy, music, living environment, self and teacher-learner relationship have been determined to affect quality of school life. In the research studies conducted in Turkey, levels of quality of school life were detected, whereas in the research studies conducted in South Korea, the importance of traditional values of Confucius doctrine were focused on.
Volume: 9
Issue: 1
Page: 100-108
Publish at: 2020-03-01

Study of impact of art performance level of blue laser technology applications and its control

10.11591/ijeecs.v17.i3.pp1383-1389
Mohanad H. Ali , Mahmood H. Enad , Jasim Mohmed Jasim , Rawaa A. Abdul-Nab , Nadia Alani
In this work; we present an enhancement in blue laser diodes with new factors and applications for modern technology such as underwater telecommunications, bio-sensor and bio-medical systems etc. Years of advance meanwhile have much enhanced laser performance, and extremely improved their diversity, making lasers significant parts in scientific research, telecommunications, engineering, bio-medical imaging, materials working, and a swarm of other applications. This article viewing how laser technology has progressed to chance application requirements. The enhanced blue laser building diagrams to get a peak efficiency% at room temperature with modification. Moreover, we have as well estimated electro-optical performance packing of blue laser diodes been significantly various associated to GaAs laser method and novel developments and performances are required to enhance the optical power from anther laser diodes. Researchers need enhanced approaches to accurately make new the blue laser applications to use control of modern experimental measurements and optical communication.
Volume: 17
Issue: 3
Page: 1383-1389
Publish at: 2020-03-01

ARDUINO based accident prevention and auto intimation system

10.11591/ijeecs.v17.i3.pp1275-1280
Palanisamy R , PLS Sai Kumar , Mekala Paavan Kiran , Ashutosh Mahto , Md. Irfan , Maharishi Bhowmick
Often modern cars have a collision avoidance system built into them known as Pre-Crash System, or Collision Mitigation System in order to reduce the collision. But majority of vehicles on the road, especially heavy motor vehicles lack in such a system. In this paper, the implementation of the Collision Avoidance System is to reduce the risks of collisions at the hairpin bend on a Hilly track, Ghats, or other Zero visibility turns. The proposed system contains a set of IR sensors, LEDs, etc. It uses four IR sensors, which are placed on either side of the hairpin bend. The sensors are mutually exclusive and are connected to LEDs through wires. Based on the output of sensors, the LEDs will glow and start alerting the other vehicle approaching from the other end, Hence the drivers will decrease their speeds which would help in preventing collision. The LEDs will help the drivers in detecting the position of  the vehicles on either side of the bend. During climatic conditions like fog, snow, etc, the visibility of the drivers would decrease due to which they will not be able to see the LEDs, Hence, a collision may take place. To bring help as soon as possible to the injured, we have also made a proposed system which would alert the nearby hospitals that an accident has taken place. We have used Arduino UNO, GSM sim module and these will be kept inside a black box which will be inside the, car safe from breakage during the accident.
Volume: 17
Issue: 3
Page: 1275-1280
Publish at: 2020-03-01

Students’ learning style and its effect on blended learning, does it matter?

10.11591/ijere.v9i1.20422
Nurasma’ Shamsuddin , Jasber Kaur
Blended learning is an approach in education system that provides multi delivery mode to optimize learning outcome and cost of program delivery in institutions. Little is known on how impactful blended learning in terms of achieving the desired learning outcome. This is because students’ learning style has influenced their achievement and if mediated in a hybrid learning environment like blended learning will further result in evaluation and performance of blended learning environment. This study aims to investigate learning styles among the students and their relationship with perceptions of blended learning. The study involved 119 students taking the course of Diploma in Information Technology at a private university. The learning style of the students was determined by using Kolb's Learning Style Inventory, while perceptions of blended learning were investigated using elements of process, content, and usability. Student perceptions on blended learning were assessed using a one-way ANOVA to determine the correlation with the learning style of the students. Majority of the students belong to the Convergent category, followed by Divergent, Accommodator, and Assimilator. The outcomes of this study showed no meaningful difference between students’ learning styles and their perceptions towards blended learning. The findings from the study could benefit academician in designing more suitable material according to students' preferred mode such as more hands-on tasks for Convergent groups, which belief, can improve the student's achievement.
Volume: 9
Issue: 1
Page: 195-202
Publish at: 2020-03-01

Development of option c measurement and verification model using hybrid artificial neural network-cross validation technique to quantify saving

10.11591/ijai.v9.i1.pp25-32
Wan Nazirah Wan Md Adnan , Nofri Yenita Dahlan , Ismail Musirin
This paper aims to develop a hybrid artificial neural network for Option C Measurement and Verification model to predict monthly building energy consumption. In this work, baseline energy model development using artificial neural networks embedded with artificial bee colony optimization and cross validation technique for a small dataset were considered. Artificial bee colony optimization with coefficient of correlation fitness function was used in optimizing the neural network training process and selecting the optimal values of initial weights and biases. Working days, class days and cooling degree days were used as input meanwhile monthly electricity consumption as an output of artificial neural network. The results indicated that this hybrid artificial neural network model provided better prediction results compared to the other model. The best model with the highest value of coefficient of correlation was selected as the baseline model hence is used to determine the saving. 
Volume: 9
Issue: 1
Page: 25-32
Publish at: 2020-03-01

Semi-automatic building footprint using multirotor and fixed wing UAV

10.11591/ijeecs.v17.i3.pp1298-1305
Nabila Ismail , Khairul Nizam Tahar
The current techniques to extract building footprints frequently involve Light Detection and Ranging (LiDAR), as well as satellite images. The UAV is proposed to acquire aerial imagery in this study as it is more efficient, time-efficient, and inexpensive, especially for small budget projects. Hence, this study evaluated the building footprints from different UAV platforms. The objectives of this study are to perform the different UAV image processing of building footprints using fixed-wing UAV and multi-rotor UAV, as well as to analyse the outcomes of building footprints from different UAV platforms with existing layout plans. The methodology begins with a preliminary study, and continued with acquisition of data via UAV, data processing, and lastly, analyses of the outcome from different platforms. Based on the analysis in terms of area, the accuracy gained by using multi rotor UAV had been better than that for fixed wing UAV with area difference of 13.648 m² compared to 18.091 m². Lastly, it can be summarised that the area displayed better results with multi rotor UAV, in comparison to the area obtained by using fixed wing UAV. Thus, it is recommended for future studies to use other UAV platforms and other methods for extraction of building footprints, such as orthoimages and digital elevation model.
Volume: 17
Issue: 3
Page: 1298-1305
Publish at: 2020-03-01

Classification of multiclass imbalanced data using cost-sensitive decision tree C5.0

10.11591/ijai.v9.i1.pp65-72
M. Aldiki Febriantono , Sholeh Hadi Pramono , Rahmadwati Rahmadwati , Golshah Naghdy
The multiclass imbalanced data problems in data mining were an interesting to study currently. The problems had an influence on the classification process in machine learning processes. Some cases showed that minority class in the dataset had an important information value compared to the majority class. When minority class was misclassification, it would affect the accuracy value and classifier performance. In this research, cost sensitive decision tree C5.0 was used to solve multiclass imbalanced data problems. The first stage, making the decision tree model uses the C5.0 algorithm then the cost sensitive learning uses the metacost method to obtain the minimum cost model. The results of testing the C5.0 algorithm had better performance than C4.5 and ID3 algorithms. The percentage of algorithm performance from C5.0, C4.5 and ID3 were 40.91%, 40, 24% and 19.23%.
Volume: 9
Issue: 1
Page: 65-72
Publish at: 2020-03-01

Evaluation of Firewall and Load balance in Fat-Tree Topology Based on Floodlight Controller

10.11591/ijeecs.v17.i3.pp1157-1164
Sarah Hashim Mohammed , Ammar Dawood Jasim
Today it has become important to reconfigure the networks in to new form to be more manageable, scalable, dynamic and programmable. The networks recently are so inflexible and failing to deal with the required changes for the Information Technology. Software Defined Networking (SDN) is a modern paradigm that focused to change the main idea of current network infrastructure (traditional network) by breaking the chain between the data forwarding and the control planes to introduce flexible programmability network. This paper makes comparison between the performance of traditional fat-tree network and SDN fat-tree network, which found that average Round Tripe Time (RTT) in SDN fat-tree topology will decrease by 8.96% than traditional fat-tree topology. Then shows the basic operation of OpenFlow protocol that can be applied on fat-tree topology by using SDN technology and how that can be effect on the performance of network and make it more flexible to enable the SDN module applications, like load balancer and firewall for optimizing the SDN network. In this paper the physical switches are replaced by software switches in a virtual network environment and display the SDN structure in GUI, also Floodlight controller is chosen to use as the network operating system for SDN network.
Volume: 17
Issue: 3
Page: 1157-1164
Publish at: 2020-03-01

Sensing schedule optimization to minimize interference with primary users in cognitive radio network

10.11591/ijeecs.v17.i3.pp1399-1404
Suddhendu DasMahapatra , Ishita Gandhi , Kartik Nair , Shivendra Nath Sharan
Radio Frequency (RF) spectrum, which is a limited resource, is facing the challenge of fulfilling the need of ever-growing users. To accommodate these users in an efficient manner, the idea of Cognitive Radio (CR) was proposed. It allows unlicensed users to use the licensed bands when the primary user is not using its band. To check the availability of the free spectrum, the system should be able to sense the RF environment around it, thus spectrum sensing becomes an important aspect of CR. In this work, the Genetic Algorithm (GA) is used to determine the periodic sensing schedule to maximize the number of transmission opportunities for unlicensed band users as well as to minimize interference with licensed users. This optimization scheme generates a maximum number of transmission opportunities with minimum interruption to the licensed user’s communication. The MATLAB software is used for simulation.
Volume: 17
Issue: 3
Page: 1399-1404
Publish at: 2020-03-01

Design of compact reconfigurable UWB antenna with WiMAX and WLAN band rejection

10.11591/ijeecs.v17.i3.pp1427-1433
N. F. Miswadi , M. T. Ali
Two reconfigurable UWB antennas with band rejection characteristics are presented in this paper. By applying concept of parasitic element and etching slot in these two proposed antenna design WiMAX and WLAN band rejection are obtained, respectively to avoid potential electromagnetic interference (EMI). The proposed antennas are printed on 30mm x 40 mm Rogers5880 substrate. Furthermore, ideal switches are employed to achieve switchable band rejection UWB antenna.In this paper, two designs of reconfigurable UWB antenna with band rejection were proposed; namely a reconfigurable UWB antenna with WiMAX band rejection (Antenna 1), reconfigurable UWB antenna with WLAN band rejection (Antenna 2). The proposed antennas were successfully simulated, fabricated and measured. The Antenna 1 have impedance bandwidth from 2.99 GHz to 10.58 GHz with band rejection at 3.52GHz by utilizing C-shaped parasitic stripline. Meanwhile, Antenna 2 achieved an operating bandwidth from 2.99 – 10.82GHz with VSWR less than 2 except for the WLAN band operating at 4.92 – 5.84 GHz.The measured results for both antennas show good agreement with simulated ones.
Volume: 17
Issue: 3
Page: 1427-1433
Publish at: 2020-03-01

Approach to the choice of modernization directions for the system of geodynamic monitoring in cases of using components intensity uncertainty

10.11591/ijeecs.v17.i3.pp1239-1248
O.R. Kuzichkin , V.T. Eremenko , I.V. Loginov , A.V. Eremenko , S. V. Eremenko , A.V. Grecheneva , G.S. Vasilyev
The problem of the optimum choice of the modernization directions for geodynamic monitoring systems, which is solved in the conditions of changing the parameters of natural-technical systems (NTS) is considered in the work. The solution of the task is creating a list of the components modernization directions and validate ranking the most effective of them. As criterion of modernization the value of decrease in resource intensity of subsystem application is using. The task is considering the uncertainty of quantity of the arriving tasks. Within the suggested method, it is offered to determine the effect of resource by each modernization direction. The functional dependences on its increase depending on an expense of resources of modernization. The decision is reached by minimization of total cost of modernization resources for the system in the conditions of change using components intensity at change of external conditions.
Volume: 17
Issue: 3
Page: 1239-1248
Publish at: 2020-03-01

Improved storage area network method for backup approach

10.11591/ijeecs.v17.i3.pp1493-1498
Sarmad K. Ibrahim , Saif A. Abdulhussien
Storage Area Network (SAN) could be a dedicated storage network which carries the info between servers and storage devices. SAN offers flexibility to implement and share data between servers and remote devices instead of the traditional method that reduced the performance of service. This paper improves SAN backup method to increase the CPU utilization and reduce the load on the link; the result shows that the improved method is better than of traditional in terms of response time in FTP about 36% while the traffic data is about 3%.
Volume: 17
Issue: 3
Page: 1493-1498
Publish at: 2020-03-01

Estimation of water quality index using artificial intelligence approaches and multi-linear regression

10.11591/ijai.v9.i1.pp126-134
Muhammad Sani Gaya , Sani Isah Abba , Aliyu Muhammad Abdu , Abubakar Ibrahim Tukur , Mubarak Auwal Saleh , Parvaneh Esmaili , Norhaliza Abdul Wahab
Water quality index is a measure of water quality at a certain location and over a period of time. High value indicates that the water is unsafe for drinking and inadequate in quality to meet the designated uses. Most of the classical models are unreliable producing unpromising forecasting results. This study presents Artificial Intelligence (AI) techniques and a Multi Linear Regression (MLR) as the classical linear model for estimating the Water Quality Index (WQI) of Palla station of Yamuna river, India. Full-scale data of the river were used in validating the models. Performance measures such as Mean Square Error (MSE), Root Mean Squared Error (RMSE) and Determination Coefficient (DC) were utilized in evaluating the accuracy and performance of the models. The obtained result depicted the superiority of AI models over the MLR model. The results also indicated that, the best model of both ANN and ANFIS proved high improvement in performance accuracy over MLR up to 10% in the verification phase. The difference between ANN and ANFIS accuracy is negligible due to a slight increment in performance accuracy indicating that both ANN and ANFIS could serve as reliable models for the estimation of WQI.
Volume: 9
Issue: 1
Page: 126-134
Publish at: 2020-03-01
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