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31,458 Article Results

Information system for monitoring of urban air pollution by heavy metals

10.11591/ijeecs.v22.i3.pp1590-1600
Zhanar Oralbekova , Zarına Khassenova , Bakhyt Mynbayeva , Makpal Zhartybayeva , Kazizat Iskakov
The authors of the article formulated the information monitoring system of Almaty city (The Republic of Kazakhstan). One of the urgent problems of the modern world is the ecological safety of the urban environment. The well-known unfavorable natural and anthropogenic factors of the Almaty city include the following: geographical and climatic features of the area, the lack of technologies for monitoring atmospheric air and traffic jams. All of the above factors increase the emissions of pollutants into the atmosphere, in particular, toxic heavy metals. A promising direction for solving this problem is the development of real-time monitoring using a mathematical model of data assimilation and the creation of software that allows you to assess the state of the system in real time. In this regard, this article describes the developed information system for the algorithm of data assimilation that optimizes the process of monitoring atmospheric air pollution with heavy metals.
Volume: 22
Issue: 3
Page: 1590-1600
Publish at: 2021-06-01

Sliding-mode controller for a photovoltaic system based on a Cuk converter

10.11591/ijece.v11i3.pp2027-2044
Carlos Andrés Ramos-Paja , Daniel Gonzalez-Motoya , Juan Pablo Villegas-Seballos , Sergio Ignacio Serna-Garces , Roberto Giral
The wide range of step-up and step-down input-output voltage characteristic of the Cuk converter makes it a good candidate to interface photovoltaic arrays in both classical and distributed maximum power point tracking systems. Because its two inductor structure, Cuk converters have continuous input and output currents, which reduce the additional filtering elements usually required for interfacing dc/dc converter topologies. However, PV systems based on Cuk converters usually do not provide formal proofs of global stability under realistic conditions, which makes impossible to ensure a safe operation of the PV installation. Therefore, this paper proposes a high performance sliding-mode controller for PV systems based on Cuk converters, which regulates the PV voltage in agreement with the commands imposed by a MPPT algorithm, rejecting both load and environmental perturbations, and ensuring global stability for real operation conditions. Finally, the performance of the regulated PV system is tested using both simulations and experiments.
Volume: 11
Issue: 3
Page: 2027-2044
Publish at: 2021-06-01

Soil moisture index estimation from landsat 8 images for prediction and monitoring landslide occurrences in Ulu Kelang, Selangor, Malaysia

10.11591/ijece.v11i3.pp2101-2108
Noraisyah Tajudin , Norsuzila Ya'acob , Darmawaty Mohd Ali , Nor Aizam Adnan
Soil moisture is one of the contributing factors that accelerates soil erosion and landslide events due to the increase in pore pressure which eventually reduces the soil strength. For landslide prediction and monitoring purposes, large-scale measurement involves estimating the soil moisture. However, estimation of soil moisture usually involves point-based measurements at a particular site and time, which is difficult to capture the spatial and temporal soil moisture dynamics. This paper presents the estimation of the SMI using Landsat 8 images for prediction and monitoring of landslide events in Ulu Kelang, Selangor. The selected SMI map for dry, moist, and wet seasons are obtained from climatology rainfall analysis over 20-year periods (1998-2017). SMI is assessed based on remote sensing data which are land surface temperature (LST) and normalized difference vegetation index (NDVI) using GIS software. Overall results indicated that rainfall distribution is high during inter-monsoon (IM), followed by northeast monsoon (NEM) and southwest monsoon (SWM) season. High rainfall distribution is a direct contributor towards SMI condition. Results from simulation show that April 2017 is known to have the highest SMI estimation season and selected to be the best SMI mapping parameter to be applied for prediction and monitoring of landslide events.
Volume: 11
Issue: 3
Page: 2101-2108
Publish at: 2021-06-01

Contrast-distorted image quality assessment based on curvelet domain features

10.11591/ijece.v11i3.pp2595-2603
Ismail Taha Ahmed , Chen Soong Der , Baraa Tareq Hammad , Norziana Jamil
Contrast is one of the most popular forms of distortion. Recently, the existing image quality assessment algorithms (IQAs) works focusing on distorted images by compression, noise and blurring. Reduced-reference image quality metric for contrast-changed images (RIQMC) and no reference-image quality assessment (NR-IQA) for contrast-distorted images (NR-IQA-CDI) have been created for CDI. NR-IQA-CDI showed poor performance in two out of three image databases, where the pearson correlation coefficient (PLCC) were only 0.5739 and 0.7623 in TID2013 and CSIQ database, respectively. Spatial domain features are the basis of NR-IQA-CDI architecture. Therefore, in this paper, the spatial domain features are complementary with curvelet domain features, in order to take advantage of the potent properties of the curvelet in extracting information from images such as multiscale and multidirectional. The experimental outcome rely on K-fold cross validation (K ranged 2-10) and statistical test showed that the performance of NR-IQA-CDI rely on curvelet domain features (NR-IQA-CDI-CvT) significantly surpasses those which are rely on five spatial domain features.
Volume: 11
Issue: 3
Page: 2595-2603
Publish at: 2021-06-01

Clustering using kernel entropy principal component analysis and variable kernel estimator

10.11591/ijece.v11i3.pp2109-2119
Loubna El Fattahi , El Hassan Sbai
Clustering as unsupervised learning method is the mission of dividing data objects into clusters with common characteristics. In the present paper, we introduce an enhanced technique of the existing EPCA data transformation method. Incorporating the kernel function into the EPCA, the input space can be mapped implicitly into a high-dimensional of feature space. Then, the Shannon’s entropy estimated via the inertia provided by the contribution of every mapped object in data is the key measure to determine the optimal extracted features space. Our proposed method performs very well the clustering algorithm of the fast search of clusters’ centers based on the local densities’ computing. Experimental results disclose that the approach is feasible and efficient on the performance query.
Volume: 11
Issue: 3
Page: 2109-2119
Publish at: 2021-06-01

Character attachment in team-based first person shooter game with respect to the role in the combat among Korean young gamers

10.11591/ijece.v11i3.pp2393-2398
Doo Heon Song , Seunghun Lee
Character attachment have been studied thoroughly from the view of psychology and media researches. In game playing, the player-avatar relationship is a form of character attachment and affects a good game design as well as management systems such as character customizing and in game purchasing policy. In this paper, we investigate such player-avatar relationship on the theme of team-based FPS where in general the attachment is not expected to be high. However, from the online survey for Tom Clancy’s Rainbow 6 Siege mania groups, we find that there are different character attachment patterns with respect to the role of players in the team–attacker, defender, and supporter. It shows that attackers think avatar as an ‘object, but the defenders show more ‘avatar as others’ than the attackers. The supporters show high responsibility for the avatar and their play style is most like ‘avatar as symbiote’ manner.
Volume: 11
Issue: 3
Page: 2393-2398
Publish at: 2021-06-01

Integrating k-means clustering into automatic programming assessment tool for student performance analysis

10.11591/ijeecs.v22.i3.pp1389-1395
Rina Harimurti , Ekohariadi Ekohariadi , Munoto Munoto , I. G. P. Asto Buditjahjanto
Computer programming is a subject involving a large number of logic programming activities. A programmer is compulsory to master skills of algorithms, logic, and programming language to conduct programming. An automatic programming assessment tool is an automated tool used to assist instructors in assessing programming tasks. The technology used in this application is open-source based with an evaluation module that will evaluate the sent program code, assessment, and classification. The evaluation results were then processed in the assessment module, where a comparison process with the test case was performed along with the point calculation. The classification module was used to divide students into five groups based on the point of each practicum. This study used k-means clustering classification method. The entities included were lecturers, assistants, students, and compilers. This application had 2 levels of users namely admin and students. Scoring results were then used in the process of determining the classification of student’s performance based on the k-means clustering method. In connection with the classification test results with three iterations, three practicum scores resulted that the classification process was successfully carried out with student’s performance divided into five groups covering very good, good, sufficient, less, and very less. The data used in the clustering process consisted of 41 students with 10 attributes which were then grouped into 3 groups (clusters).
Volume: 22
Issue: 3
Page: 1389-1395
Publish at: 2021-06-01

Hybrid solar/wind/diesel water pumping system in Dubai, United Arab Emirates

10.11591/ijece.v11i3.pp2062-2067
Waleed Obaid , Abdul-Kadir Hamid , Chaouki Ghenai
This paper proposes a hybrid power system design for water pumping system in Dubai (Latitude 25.25 °N and Longitude 55 °E), United Arab Emirates using solar photovoltaic (PV) panels, wind turbines, and diesel generator. The proposed design considers the changes in weather conditions (humidity percentage, temperature in celsius, and wind speed in m/s) that directly affect solar irradiance values which alter the performance of the hybrid system. The proposed design deals with the problem of rare rainy days in Dubai between December and March and the high temperature throughout the year since that makes providing water to rural and isolated zones essential. The proposed system uses voltage regulator to maintain stable DC voltage from the solar power system, battery bank to store the voltage from solar PV panels, three-phase rectifier to convert the AC voltage from wind power system to DC, three-phase step-down transformers to reduce the AC voltage of the wind turbine and diesel generator, and DC electric motor for water pumping output. The system used neural network for solar irradiance forecasting over an interval of 10 years (from 2009 to 2019). The proposed system will be demonstrated using Simulink to show the stability and performance under different weather conditions.
Volume: 11
Issue: 3
Page: 2062-2067
Publish at: 2021-06-01

Files cryptography based on one-time pad algorithm

10.11591/ijece.v11i3.pp2335-2342
Ahmad Mohamad Al-Smadi , Ahmad Al-Smadi , Roba Mahmoud Ali Aloglah , Nisrein Abu-darwish , Ahed Abugabah
The Vernam-cipher is known as a one-time pad of algorithm that is an unbreakable algorithm because it uses a typically random key equal to the length of data to be coded, and a component of the text is encrypted with an element of the encryption key. In this paper, we propose a novel technique to overcome the obstacles that hinder the use of the Vernam algorithm. First, the Vernam and advance encryption standard AES algorithms are used to encrypt the data as well as to hide the encryption key; Second, a password is placed on the file because of the use of the AES algorithm; thus, the protection record becomes very high. The Huffman algorithm is then used for data compression to reduce the size of the output file. A set of files are encrypted and decrypted using our methodology. The experiments demonstrate the flexibility of our method, and it’s successful without losing any information.
Volume: 11
Issue: 3
Page: 2335-2342
Publish at: 2021-06-01

The measurement model of geo-education among trainee teachers in Malaysia

10.11591/ijere.v10i2.20706
Mat Rahimi Yusof , Mohd Faiz Mohd Yaakob , Aliff Nawi , Hapini Awang , Dayang Rafidah Syariff M. Fuad , Aizuddin Md Rami
This study conducted to develop a measurement model for measuring Geo-Education in Malaysia context. This cross-sectional survey involved 245 trainee teachers in Universities and Institut Pendidikan Guru Malaysia (IPGM). The data collection was made through a set of questionnaires and analyzed using SEM-AMOS. There are four main elements measured, which are loading factors, convergent validity, discriminant validity, and composite reliability. The findings indicated that Geo-Education had a significant contribution to the proposed constructs, namely primer, issues, ecosystem, lifestyle, and cross-curricular elements. A model of Geo-Education was successfully developed in this study using these five constructs, namely primer, issues, ecosystem, lifestyle, and cross-curricular elements. This study also identified twenty-five behaviours of Geo-Education among the trainee teachers in Malaysia. The findings of this study are essential as a guideline for Malaysian teachers to implement the concept of Geo-Education in Malaysia. Additionally, the application of this subject as cross-curricular elements in the Malaysian curriculum is essential to ensure the success of the implementation of Education Sustainable Development (ESD) in the school environment.
Volume: 10
Issue: 2
Page: 714-719
Publish at: 2021-06-01

LTE network performance evaluation based on effects of various parameters on the cell range and MAPL

10.11591/ijeecs.v22.i3.pp1770-1776
Asaad. S. Daghal , Haider Mohammed Turki Al-Hilfi
These days long term evaluation (LTE) is considered the common mobile technology around the world and there is a need to maximize the network performance to satisfy the increased demand in terms of the cell capacity and coverage. These are many parameters in the network configuration and in the surrounded environment, which have great effects on the network performance. Examples of parameters are the system overhead rations, the required capacity of the network, neighbor cell load, and link budget parameters. The determination of the optimum configuration parameters, which achieve the best network performance, is a main step in the planning process in addition to it is continuous step in network optimization phase. In this study, the effects of some parameters will be investigating to get the best parameters that achieve the best network performance in terms of capacity of the cells and coverage area. The study will start by discussing introduction about LTE network components and protocols, and then the main parameters of the protocols will be revising. The study will display the results of changing many parameters related to LTE protocols and surrounding environment parameters on the LTE network performance.
Volume: 22
Issue: 3
Page: 1770-1776
Publish at: 2021-06-01

Model reduction of unstable systems based on balanced truncation algorithm

10.11591/ijece.v11i3.pp2045-2053
Ngoc Kien Vu , Hong Quang Nguyen
Model reduction of a system is an approximation of a higher-order system to a lower-order system while the dynamic behavior of the system is almost unchanged. In this paper, we will discuss model order reduction (MOR) strategies for unstable systems, in which the method based on the balanced truncation algorithm will be focused on. Since each MOR algorithm has its strengths and weakness, practical applications should be suitable for each specific requirement. Simulation results will demonstrate the correctness of the algorithms.
Volume: 11
Issue: 3
Page: 2045-2053
Publish at: 2021-06-01

Innovative earthing systems for electric power substations using conductive nanoparticles

10.11591/ijece.v11i3.pp1857-1864
Ahmed Thabet , Youssef Mobarak
The earthing system is very important to safe human’s lives and protect power system from normal and abnormal faults. High soil resistivity regions is the main problem of installation the earthing systems in electric power substations to pass the current through the earth's surface. This paper has been overcome on high soil resistivity regions by penetrating conductive nanoparticles to have extremely low grounding resistance. Moreover, it has been succeeded to examine the methodology of the proposed Nano-Tech earthing systems in case of single rods, multiple rods and grids. Also, it has been defined optimal types and concentrations of nanoparticles for Nano-Tech grounding system to provide excellence protection for electrical substations with respect to built beneath of soil where substation is located. A comparative study has been discussed and analyzed the results of traditional and nanotechnology grounding systems.
Volume: 11
Issue: 3
Page: 1857-1864
Publish at: 2021-06-01

A heterogeneous short-range communication platform for internet of vehicles

10.11591/ijece.v11i3.pp2165-2177
Naser Zaeri
The automotive industry is rapidly accelerating toward the development of innovative industry applications that feature management capabilities for data and applications alike in cars. In this regard, more internet of vehicles solutions are emerging through advancements of various wireless medium access-control technologies and the internet of things. In the present work, we develop a short-range communication–based vehicular system to support vehicle communication and remote car control. We present a combined hardware and software testbed that is capable of controlling a vehicle’s start-up, operation and several related functionalities covering various vehicle metric data. The testbed is built from two microcontrollers, Arduino and Raspberry Pi 3, each of which individually controls certain functions to improve the overall vehicle control. The implementation of the heterogeneous communication module is based on the Institute of Electrical and Electronics Engineers (IEEE) 802.11 and IEEE 802.15 medium access control technologies. Further, a control module on a smartphone was designed and implemented for efficient management. Moreover, we study the system connectivity performance by measuring various important parameters including the coverage distance, signal strength, download speed and latency. This study covers the use of this technology setup in different geographical areas over various time spans.
Volume: 11
Issue: 3
Page: 2165-2177
Publish at: 2021-06-01

Improvement of teacher’s professional competency in strengthening learning methods to maximize curriculum implementation

10.11591/ijere.v10i2.21010
Hendro Prasetyono , Agus Abdillah , Tjipto Djuhartono , Ira Pratiwi Ramdayana , Laila Desnaranti
The 2013 curriculum which has been implemented for more than six years in Indonesia has many problems in its application. Therefore, we need to conduct empirical research to determine the causes of the ineffective implementation of the 2013 curriculum in schools. This study involved 13 high schools and vocational high schools in the provinces of DKI Jakarta and West Java with a total of 420 students, 26 teachers, and principals as respondents. The research employed mixed parallel method and data analysis using combined analysis of qualitative and quantitative approaches. The research found that there are still schools that use two different curricula, 2013 curriculum and school-based curriculum. In implementing the 2013 curriculum, teachers are required to use various learning with a scientific approach that refers to student-centered concepts. There is a need for the training program to improve teachers’ professional competence, especially in the terms of various learning methods mastery.
Volume: 10
Issue: 2
Page: 720-727
Publish at: 2021-06-01
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