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29,939 Article Results

Intrusion detection system based on bagging with support vector machine

10.11591/ijeecs.v24.i2.pp1100-1106
Ali Khalid Hilool , Soukaena H. Hashem , Shatha H. Jafer
Due to their rapid spread, computer worms perform harmful tasks in networks, posing a security risk; however, existing worm detection algorithms continue to struggle to achieve good performance and the reasons for that are: First, a large amount of irrelevant data affects classification accuracy. Second, individual classifiers do not detect all types of worms effectively. Third, many systems are based on outdated data, making them unsuitable for new worm species. The goal of the study is to use data mining algorithms to detect worms in the network because they have a high ability to detect new types accurately. The proposal is based on the UNSW NB15 dataset and uses a support vector machine to train and test the ensemble bagging algorithm. To detect various types of worms efficiently, the contribution suggests combining correlation and Chi2 feature selection method called Chi2-Corr to select relevant features and using support vector machine (SVM) in the bagging algorithm. The system achieved accuracy reaching 0.998 with Chi2-Corr, and 0.989, 0.992 with correlation and chi-square separately.
Volume: 24
Issue: 2
Page: 1100-1106
Publish at: 2021-11-01

Diagnosis of rotor faults by fast Fourier transform using an auxiliary winding voltage

10.11591/ijeecs.v24.i2.pp680-688
Yakout Khadouj Jelbaoui , Lamiaa El Menzhi , Abdallah Saad
Condition monitoring and on-line detection have attracted several researchers in order to carry out an efficient diagnosis of machine failures. Therefore, the detection in early stage avoids system breakdown and reduce the maintenance cost. This paper presents a new diagnosic approach to detect the broken bars and broken end ring faults for a squirrel cage induction machine based on the fast Fourier transform analysis applied on a new signature as the voltage of an auxiliary winding. The auxiliary winding is a small coil inserted between two of the stator phases, the explicit expression of its voltage is presented. The signal is monitored in six faults cases under a different load level, the emergence of the fault frequencies changes for each kind of failure. The successfully simulation results obtained show the effectiveness of this approach.
Volume: 24
Issue: 2
Page: 680-688
Publish at: 2021-11-01

Crown closure segmentation on wetland lowland forest using the mean shift algorithm

10.11591/ijeecs.v24.i2.pp965-977
Beni Iskandar , I Nengah Surati Jaya , Muhammad Buce Saleh
The availability of high and very high-resolution imagery is helpful for forest inventory, particularly to measure the stand variables such as canopy dimensions, canopy density, and crown closure. This paper describes the examination of mean shift (MS) algorithm on wetland lowland forest. The study objective was to find the optimal parameters for crown closure segmentation Pleiades-1B and SPOT-6 imageries. The study shows that the segmentation of crown closure with the red band of Pleiades-1B image would be well segmented by using the parameter combination of (hs: 6, hr: 5, M: 33) having overall accuracy of 88.93% and Kappa accuracy of 73.76%, while the red, green, blue (RGB) composite of SPOT-6 image, the optimal parameter combination was (hs:2, hr: 8, M: 11), having overall accuracy of 85.72% and kappa accuracy of 68.33%. The Pleiades-1B image with a spatial resolution of (0.5 m) provides better accuracy than SPOT-5 of (1.5 m) spatial resolution. The differences between single spectral, synthetic, and RGB does not significantly affect the accuracy of segmentation. The study concluded that the segmentation of high and very high-resolution images gives promising results on forest inventory.
Volume: 24
Issue: 2
Page: 965-977
Publish at: 2021-11-01

Framework of diacritic segmentation for Arabic handwritten document

10.11591/ijeecs.v24.i2.pp1001-1008
Ahmed Abdalla Shiekh , Mohd Sanusi Azmi , Maslita Abd Aziz , Mohammed Nasser Al-Mhiqani , Salem Saleh Bafjaish
In recent Arabic standard language and Arabic dialectal texts, diacritics and short vowels are absent. There are some exceptions have been made for the Arabic beginner learner scripts, religious texts and as well as a significant political text. In addition, the text without diacritics is considered ambiguous due to numerous words with different diacritic marks seem identical. However, this paper we present a framework for segmenting diacritics from Arabic handwritten document by using region-based segmentation technique. Since Arabic handwritten and Mushaf Al-Quran contain many diacritical marks. Hence, the diacritics must be properly extracted from Arabic handwritten document to avoid losing some good features. Furthermore, the proposed framework is devised specifically to segment diacritics from Arabic handwritten image, thus there will be no feature extraction, feature selection, and classification processes included. Besides, we will present the methodology that is used to fulfil the objectives of this paper. The pre-processing phases will be explained and more specifically segmentation phase for segmenting diacritics which is the phase we concentrate more in this article. Lastly, we will identify the proposed technique region-based segmentation to facilitate our development throughout the experimental process.
Volume: 24
Issue: 2
Page: 1001-1008
Publish at: 2021-11-01

Automatic control of the sand granulation process to improve homogeneity in the manufacture of ceramic tiles

10.11591/ijeecs.v24.i2.pp762-770
Guillermo Morales-Romero , Adrián Quispe-Andía , Beatriz Caycho-Salas , Nicéforo Trinidad-Loli , César León-Velarde , Carlos Palacios-Huaraca , Omar Chamorro-Atalaya
The purpose of this article is to quantify to what extent the design of an automatic control system for the clay sand granulation process will improve the percentage of homogeneity in the manufacture of ceramic tiles, through the analysis of the percentage of dust moisture. For which the process under study is initially described, identifying its stages, the control strategy to be used and its main characteristics. After conducting the research, it was determined that from the proposed control strategy, in which the flow of clay sand is controlled through frequency variators and the sequential injection of water spray through electric nozzles, it was achieved improve the homogeneity percentage by 94.78%, achieving that the error between the desired value and the present value of the humidity percentage is 0.015%, the approximation to the desired value or setpoint value being significant. Thus, it was also possible to determine that through an analysis of the dispersion model, that the collected data respond to a constant; evidencing that there is no sudden variation in the percentage of homogeneity during the automated operation of the process, which validates the improvement of homogeneity in the manufacture of ceramic tiles.
Volume: 24
Issue: 2
Page: 762-770
Publish at: 2021-11-01

Experimental study of through the wall imaging for the detection of vital life signs using SFWR

10.11591/ijeecs.v24.i2.pp825-830
Pardhu Thottempudi , Vijay Kumar
Now a day’s defence applications associated to novel, army and military war fields are required wall imaging discrimination. As of now many wallimaging techniques are designed but didn’t identify the vital signs behind walls with accurate working. Therefore, a novel advance wall image tracking method is required identification of human target. An experimental study on through the wallimaging (TWI) to detect the life signs using sweep frequency continuous wave radar (SFCWR) is explained in this paper. The proposed system consists of agilent vector network analyzer (VNA) (Agilent E5071B ENA), horn antenna and a computer. The information of heart beat and the breathing can be a shift identification routine was used to collect information from the back scattering electric current. The outcomes of the procedure give the information of heart beat and breathing signs of real human being.
Volume: 24
Issue: 2
Page: 825-830
Publish at: 2021-11-01

Artificial neural network vector controlled common high-side switch asymmetric converter fed switched reluctance motor drive

10.11591/ijeecs.v24.i2.pp697-703
Ashok Kumar Kolluru , Malligunta Kiran Kumar
The best alternative machine for synchronous and induction machine is switched reluctance machine for various applications. An artificial neural network (ANN) based vector controller is implemented for novel converter to drive switched reluctance motor (SRM) in this paper. To reduce the cost and simplified the controller an effective configuration of converter is proposed with only 4 pulse-withmodulation (PWM) based switches. The 6 pole stator and 4 pole rotor machine is considered in this paper to present results based on MATLAB. The ripples in torque are reduced by proposing vector controller by using novel configuration of converter. Generally SRM machines are having high ripples in torque, hence less number of switches will be feasible solution to drive the machine in order to reduce ripples. The proposed controller can also help to operate system with less ripples in torque since the controller having both torque and flux hysteresis controllers. The extensive results are presented on Simulink platform to validate the proposed method under both steady state as well as transient conditions.
Volume: 24
Issue: 2
Page: 697-703
Publish at: 2021-11-01

Readiness in using online interactive platforms for remote teaching

10.11591/ijeecs.v24.i2.pp1047-1053
Siti Fatimah Omar , Haslinda Sutan Ahmad Nawi , Rita Wong Mee Mee , Lim Seong Pek , Tengku Shahrom Tengku Shahdan , Adelaide Woo
Technological advances offer a new shift of change for society. In this era, it is almost impossible to come by without its help. The Malaysian government has invested highly in information and communications technology (ICT) for online teaching and learning at the current time. Digital technologies have been integrated into the teaching and learning process in almost all public or private schools in Malaysia. The use of multimedia tools has enabled learners to understand difficult concepts or ideas and different types of learning preferences. The purpose of the study is to identify pre-service teachers’ perceptions towards using online teaching platforms as a mode of teaching tool in carrying out service-learning in the period of the Covid-19 pandemic. Survey research was carried out on 94 final-year pre-service teachers from diploma in teaching english as a second language. Findings revealed that pre-service teachers had shown positive perceptions of online teaching platforms for remote teaching. Findings had also shown that pre-service teachers preferred blended learning by combining both classroom and online teaching over traditional classrooms per se.
Volume: 24
Issue: 2
Page: 1047-1053
Publish at: 2021-11-01

Artificial neural network based meta-heuristic for performance improvement in physical internet supply chain network

10.11591/ijeecs.v24.i2.pp1161-1172
Chouar Abdelsamad , Tetouani Samir , Soulhi Aziz , Elalami Jamila
Nowadays, reducing total costs while enhancing customer satisfaction is a major task for many supply chain systems. To deal with this issue, the physical internet (PI) paradigm can be represented as a potential replacement for the current logistics system. This paper devoted the cost reduction and lead time improvement in a PI-SCN using a hybrid framework based on an artificial neural network (ANN) and an improved slime mould algorithm (ISMA). To address the performance of the proposed framework, a real-case study in Morocco is considered. The new trainer ISMA’s performance has been investigated in three approximation datasets from the University of California at Irvine (UCI) machine-learning repository regarding nine recent metaheuristics. The experimental results highlight the effectiveness of ISMA according to other meta heuristics for training feed-forward neural networks (FNNs) to converge speed and to avoid local minima.
Volume: 24
Issue: 2
Page: 1161-1172
Publish at: 2021-11-01

A low-cost development of automatic weather station based on Arduino for monitoring precipitable water vapor

10.11591/ijeecs.v24.i2.pp744-753
Wayan Suparta , Aris Warsita , Ircham Ircham
Water vapor is the engine of the weather system. Continuous monitoring of its variability on spatial and temporal scales is essential to help improve weather forecasts. This research aims to develop an automatic weather station at low cost using an Arduino microcontroller to monitor precipitable water vapor (PWV) on a micro-scale. The surface meteorological data measured from the BME280 sensor is used to determine the PWV. Our low-cost systems also consisted of a DS3231 real-time clock (RTC) module, a 16×2 liquid crystal display (LCD) module with an I2C, and a micro-secure digital (micro-SD) card. The core of the system employed the Arduino Uno surface mount device (SMD) R3 board. The measurement results for long-term monitoring at the tested sites (ITNY and GUWO) found that the daily mean error of temperature and humidity values were 1.30% and 3.16%, respectively. While the error of air pressure and PWV were 0.092% and 2.61%, respectively. The PWV value is higher when the sun is very active or during a thunderstorm. The developed weather system is also capable of measuring altitude on pressure measurements and automatically stores daily data. With a total cost below 50 dollars, all major and support systems developed are fully functional and stable for long-term measurements.
Volume: 24
Issue: 2
Page: 744-753
Publish at: 2021-11-01

IMUW-APP: An instrument for measuring the usability of web applications

10.11591/ijeecs.v24.i2.pp1183-1194
Ayad Hameed Mousa , Mowafak K. Mohsen , Ali M. Alnasrawi , Intedhar Shakir Nasir
Conventional usability measurement methods for measuring web applications are costly, sometimes time-consuming, and may require professionals. The frameworks, methods, approaches, and tools in which web applications are designed can fully support these limitations. The main issue is to speed up the evaluation process of websites in an effortless manner. To overcome this limitation, this paper proposes an instrument that can use for measuring the usability of web applications (IMUW-APP). A systematic literature review was utilized to determine the instrument dimensions and their items. The validity and reliability test were conducted via face and content validity, goodness testing, and pilot study. Cronbach's Alpha, factor loading, Kaiser-Meyer-Olkin, and Barlett's test were +calculated to ensure the validity and reliability of the proposed instrument. In the light of our analyses, the obtained findings indicate that the proposed instrument (IMUWAPP) is workable and can adapt. Besides, a case study is used to verify the proposed instrument to evaluate a university website. The collecting data have been analyzed and visualized. Ultimately, the overall findings have highlighted.
Volume: 24
Issue: 2
Page: 1183-1194
Publish at: 2021-11-01

Energy‑harvesting and energy aware routing algorithm for heterogeneous energy WSNs

10.11591/ijeecs.v24.i2.pp910-920
Mohammed Mehdi Saleh , Ruslan Saad Abdulrahman , Aymen Jaber Salman
Wireless sensor networks are regarded as the most essential components of contemporary technologies since they are in charge of sensing and monitoring processes, which are the primary functions of these technologies. Because these nodes rely on an unchangeable battery and are randomly deployed in the environment, node energy management is the most essential issue to consider when designing algorithms to enhance the network's life. Clustering is a wireless sensor network (WSN) routing technique that has been implemented in order to extend network lifetime. Also, it is trendy to increase the energy levels of the node battery by utilizing various energy harvesting techniques in order to extend the network lifetime. In this paper, a new energy-aware clustering algorithm (EHEARA) has been proposed. The proposed algorithm is based on a dynamic clustering function and adopts a solar energy harvesting scheme in order to improve network lifetime. Furthermore, the active-sleep mechanism was used to distribute node activity and balance communication among nodes within clusters and cluster heads with the base station. The proposed algorithm is simulated using matrix laboratory (MATLAB), and the results show that it outperforms the low energy adaptive clustering hierarchy (LEACH), distributed energy efficient clustering (DEEC), and stable election protocol (SEP) algorithms in terms of network lifetime, energy consumption, and network throughput.
Volume: 24
Issue: 2
Page: 910-920
Publish at: 2021-11-01

Investigation of microwave sensor and integrate with polydimethylsiloxane for medical imaging application

10.11591/ijeecs.v24.i2.pp949-956
Nurhasniza Edward , Lavanya Paramasivam , Zahriladha Zakaria , Amyrul Azuan Mohd Bahar
The small-sized wideband antenna is one of the antennas used in the medical field to detect body tissue. The antenna's direct contact with the human body causes reflected signal due to the high body coupling, and the narrower bandwidth tends to reduce the data transfer rate in transmission. Therefore, this paper aims to design a wideband antenna with wearable properties operated in the frequency range of 3 GHz to 6 GHz. The antenna is designed with a rectangular-shaped patch with notches and the t-slot shaped partial slot ground. The connected speech test (CST) studio suite software is used to design and optimize the miniature antenna, which measures 24 mm (W) x 38 mm (L) x 0.168 mm (H). The antenna is then embedded with polydimethylsilixane (PDMS) at the top half of the antenna with the dimension 24 mm (W) x 19 mm (L) x 1 mm (H) and also fully occupied. The antenna is configured with the bending capabilities to adapt the human body surface at an angle of 30º. The antenna is having the benefits of small size, cost-effective, and easy to fabricate. The antenna design can effectively detect unusual body tissue, and it safe to be used.
Volume: 24
Issue: 2
Page: 949-956
Publish at: 2021-11-01

Impact assessment of simultaneous operation of photovoltaic and cogeneration power plants on industrial distribution system

10.11591/ijeecs.v24.i2.pp649-660
B. Koti Reddy , Amit Kumar Singh
Industries with co-generation plants face unprecedented problems due to penetration of renewable energy systems such as solar power on their existing distribution networks. These problems are caused by intermittent solar power. To this end, this paper provides a detailed investigation of the effects due to sudden changes in solar power on an existing industrial distribution network connected to co-generation plants. Moreover, the case studies in this work consider simultaneous operation of a large industry having co-generation captive power plant and large scale solar photovoltaic power plant. The real-time field data for the past three years are used to check the performance of solar photovoltaic power plant, load management, power quality and other concerning issues on the distribution network. In addition to the real-time data, the simulations were performed for the solar power output under different solar irradiance conditions. Moreover, these simulations are used to assess photovoltaic integration effects on a distribution system having a co-generation captive power plant. Finally, this paper put forward photovoltaic integration guidelines to industries and policymakers interested to carry out the integration studies in the future.
Volume: 24
Issue: 2
Page: 649-660
Publish at: 2021-11-01

Review on path planning algorithm for unmanned aerial vehicles

10.11591/ijeecs.v24.i2.pp1017-1026
Nurul Saliha Amani Ibrahim , Faiz Asraf Saparudin
The path planning problem has been a crucial topic to be solved in autonomous vehicles. Path planning consists operations to find the route that passes through all of the points of interest in a given area. Several algorithms have been proposed and outlined in the various literature for the path planning of autonomous vehicle especially for unmanned aerial vehicles (UAV). The algorithms are not guaranteed to give full performance in each path planning cases but each one of them has their own specification which makes them suitable in sophisticated situation. This review paper evaluates several possible different path planning approaches of UAVs in terms optimal path, probabilistic completeness and computation time along with their application in specific problems.
Volume: 24
Issue: 2
Page: 1017-1026
Publish at: 2021-11-01
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