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29,939 Article Results

Feasibility of using photovoltaic solar energy for water treatment plants

10.11591/ijece.v11i3.pp1962-1968
Alexander Saavedra , Nataly Alejandra Galvis , Mónica Castaneda , Sebastian Zapata , Fredy Mesa , Andrés Julián Aristizábal
The purpose of this research is to determine the feasibility of supplying photovoltaic solar energy for the electrical requirements of drinking water and wastewater treatment plants, in six regions of Colombia, with different geographic and climatological conditions: Andean Region, Amazon Region, Orinoquía Region, Caribbean Region, Pacific Region, and Insular Region. The study revealed that the costs of the photovoltaic systems oscillate between USD 32,486.86 and USD 40,716.86, without using a storage system with batteries, since the price of these makes the investment recovery unfeasible. Instead of using batteries to store energy, a water storage system is used. The total daily load of the sanitation systems is 57 kWh/day, which would avoid 7120.44 kgCO2 per year. Besides, during the entire useful life of the 20-year project, 142.4 tCO2 would not be released into the environment.
Volume: 11
Issue: 3
Page: 1962-1968
Publish at: 2021-06-01

Comparative analysis of multiple classification models to improve PM10 prediction performance

10.11591/ijece.v11i3.pp2500-2507
Yong-Jin Jung , Kyoung-Woo Cho , Jong-Sung Lee , Chang-Heon Oh
With the increasing requirement of high accuracy for particulate matter prediction, various attempts have been made to improve prediction accuracy by applying machine learning algorithms. However, the characteristics of particulate matter and the problem of the occurrence rate by concentration make it difficult to train prediction models, resulting in poor prediction. In order to solve this problem, in this paper, we proposed multiple classification models for predicting particulate matter concentrations required for prediction by dividing them into AQI-based classes. We designed multiple classification models using logistic regression, decision tree, SVM and ensemble among the various machine learning algorithms. The comparison results of the performance of the four classification models through error matrices confirmed the f-score of 0.82 or higher for all the models other than the logistic regression model.
Volume: 11
Issue: 3
Page: 2500-2507
Publish at: 2021-06-01

Spatial analysis model for traffic accident-prone roads classification: a proposed framework

10.11591/ijai.v10.i2.pp365-373
Anik Vega Vitianingsih , Nanna Suryana , Zahriah Othman
The classification method in the spatial analysis modeling based on the multi-criteria parameter is currently widely used to manage geographic information systems (GIS) software engineering. The accuracy of the proposed model will play an essential role in the successful software development of GIS. This is related to the nature of GIS used for mapping through spatial analysis. This paper aims to propose a framework of spatial analysis using a hybrid estimation model-based on a combination of multi-criteria decision-making (MCDM) and artificial neural networks (ANNs) (MCDM-ANNs) classification. The proposed framework is based on the comparison of existing frameworks through the concept of a literature review. The model in the proposed framework will be used for future work on the traffic accident-prone road classification through testing with a private or public spatial dataset. Model validation testing on the proposed framework uses metaheuristic optimization techniques. Policymakers can use the results of the model on the proposed framework for initial planning developing GIS software engineering through spatial analysis models.
Volume: 10
Issue: 2
Page: 365-373
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

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

Factual power loss reduction by dynamic membrane evolutionary algorithm

10.11591/ijaas.v10.i2.pp99-106
Lenin Kanagabasai
This paper presents a dynamic membrane evolutionary algorithm (DMEA) that has been applied to solve optimal reactive power problems. The proposed methodology merges the fusion and division rules of P systems with active membranes and with adaptive differential evolution (ADE), particle swarm optimization (PSO) exploration stratagem. All elementary membranes are amalgamated into one membrane in the computing procedure. Furthermore, the integrated membrane is alienated into the elementary membranes 1, 2, _, m. In particle swarm optimization (PSO) C1 and C2 (acceleration constants) are vital parameters to augment the exploration ability of PSO in the period of the optimization procedure. In this work, Gaussian probability distribution is initiated to engender the accelerating coefficients of PSO. The proposed DMEA has been tested in standard IEEE 14, 30, 57, 118, and 300 bus test systems and simulation results show the projected algorithm reduced the real power loss comprehensively.
Volume: 10
Issue: 2
Page: 99-106
Publish at: 2021-06-01

Parallel implementation of maximum-shift algorithm using OpenMp

10.11591/ijeecs.v22.i3.pp1529-1539
Atheer Akram AbdulRazzaq , Qusay Shihab Hamad , Ahmed Majid Taha
String matching is considered as one of the center issues within the field of computer science, where there are numerous computer applications that supply the clients with string matching services. The increment within the number of databases which are created and protected in numerous computer gadgets had impacted researchers with the slant towards getting robust techniques in tending to this issue. In this study, the Maximum-Shift string matching algorithm is chosen to be executed with multi-core innovation through the utilization of OpenMP paradigm, in order to decrease the successive time, and increment the speedup and efficiency of the algorithm. The deoxyribonucleic acid (DNA), protein and the English text datasets are utilized to test the parallel execution that influences the Maximum-Shift algorithm execution when utilized with multi-core environment. The results demonstrated that the execution is affected by the performance between the parallel and consecutive execution of Maximum-Shift algorithm by data type. The English text appeared ideal comes about within the parallel execution time as compared to other datasets, whereas the DNA database set appeared the most elevated comes about when compared to other data types in terms of speedup and efficiency capabilities.
Volume: 22
Issue: 3
Page: 1529-1539
Publish at: 2021-06-01

Design and implementation of an I-V curvetracer dedicated to characterize PV panels

10.11591/ijece.v11i3.pp2011-2018
Mansour Zegrar , M’hamed Houari Zerhouni , Mohamed Tarik Benmessaoud , Fatima Zohra Zerhouni
In recent years, solar photovoltaic energy is becoming very important in the generation of green electricity. Solar photovoltaic effect directly converts solar radiation into electricity. The output of the photovoltaic module MPV depends on several factors as solar irradiation and cell temperature. A curve tracer is a system used to acquire the PV current-voltage characteristics, in real time, in an efficient manner. The shape of the I-V curve gives useful information about the possible anomalies of a PV device. This paper describes an experimental system developed to measure the current–voltage curve of a MPV under real conditions. The measurement is performed in an automated way. This present paper presents the design, and the construction of I-V simple curve tracer for photovoltaic modules. This device is important for photovoltaic (PV) performance assessment for the measurement, extraction, elaboration and diagnose of entire current-voltage I-V curves for several photovoltaic modules. This system permits to sweep the entire I-V curve, in short time, with different climatic and loads conditions. An experimental test bench is described. This tracer is simple and the experimental results present good performance. Simulation and experimental tests have been carried out. Experimental results presented good performance.
Volume: 11
Issue: 3
Page: 2011-2018
Publish at: 2021-06-01

Teachers’ well-being from the social psychological perspective

10.11591/ijere.v10i2.21115
Zawawi Zakaria , Yahya Don , Mohd Faiz Mohd Yaakob
School is an important organizational unit in a country. School is also the foundation of every country’s education system. A harmonious working environment and a healthy relationship are very vital to ensure the high quality of teachers’ work. Issues in the workplace can lead to low performance, job dissatisfaction, loss of happiness, stress, and many other mental health issues. Teachers’ well-being is greatly influenced by comfortable, healthy, and happy conditions. Hence, this study aims to examine well-being among teachers in National Secondary Schools (SMK) and Government Funded Religious Schools (SABK) based on the quality of teachers’ working life such as psychological, social, political, and economic needs. This was quantitative research with a survey method using questionnaires as the instrument. The respondents of the study comprised 300 teachers in a district in Kelantan, Malaysia. The respondents were chosen based on a random sampling technique. The results of the study showed that the level of teachers’ well-being is high. There were no differences regarding the level of teachers’ well-being between SMK and SABK.
Volume: 10
Issue: 2
Page: 641-647
Publish at: 2021-06-01

Fire-fighting UAV with shooting mechanism of fire extinguishing ball for smart city

10.11591/ijeecs.v22.i3.pp1320-1326
Nastaran Reza Nazar Zadeh , Ameralden H. Abdulwakil , Mike Joshua R. Amar , Bernadette Durante , Christian Vincent Nico Reblando Santos
With the growth of technology and massive city development, firefighting services have become more challenging to cope with a smart-city concept. One of the challenges that firefighters are facing is reaching the top floors of high-raised buildings. Firefighters need heavy and oversized pieces of equipment to reach top floors, which they sometimes fail to deliver on time due to big cities' traffic. The proposed solution to this global problem is using firefighting unmanned aerial vehicle (UAV) to reach the top floors fast and efficiently; It can also provide a better vision for the firefighting team and slow down the spread of fire using fire extinguishing ball. In this paper, a noble design for a Firefighting UAV with shooting and dropping mechanism of fire extinguishing ball has been developed and successfully tested. A Camera with night vision has been integrated into the UAV to provide a helpful aid for firefighters. The UAV has a controller with a 2.4 GHz radio frequency (RF) signal and video surveillance to regulate the UAV's movement. The controller is also for activating the shooting and dropping mechanism. The researchers examined the behavior of the drone in terms of its stability and functionality.
Volume: 22
Issue: 3
Page: 1320-1326
Publish at: 2021-06-01

History-based consistency algorithm for the trickle-timer with low-power and lossy networks

10.11591/ijece.v11i3.pp2569-2576
Firas A. Albalas , Haneen Taamneh , Wail E. Mardini
Recently, the internet of things (IoT) has become an important concept which has changed the vision of the Internet with the appearance of IPv6 over low power and lossy networks (6LoWPAN). However, these 6LoWPANs have many drawbacks because of the use of many devices with limited resources; therefore, suitable protocols such as the Routing Protocol for low power and lossy networks (RPL) were developed, and one of RPL's main components is the trickle timer algorithm, used to control and maintain the routing traffic frequency caused by a set of control messages. However, the trickle timer suffered from the short-listen problem which was handled by adding the listen-only period mechanism. This addition increased the delay in propagating transmissions and resolving the inconsistency in the network. However, to solve this problem we proposed the history based consistency algorithm (HBC), which eliminates the listen-only period based on the consistency period of the network. The proposed algorithm showed very good results. We measured the performance of HBC trickle in terms of convergence time; which was mainly affected, the power consumption and the packet delivery ratio (PDR). We made a comparison between the original trickle timer, the E-Trickle, the optimized trickle and our HBC trickle algorithm. The PDR and the power consumption showed in some cases better results under the HBC trickle compared to other trickle timers and in other cases the results were very close to the original trickle indicating the efficiency of the proposed trickle in choosing optimal routes when sending messages.
Volume: 11
Issue: 3
Page: 2569-2576
Publish at: 2021-06-01

Counteraction to information influence in social networking services by means of fuzzy logic system

10.11591/ijece.v11i3.pp2490-2499
Kateryna Molodetska , Vladyslav Solonnikov , Oleksandr Voitko , Ihor Humeniuk , Oleksandr Matsko , Oleksii Samchyshyn
The article describes a decision support system based on fuzzy inference aimed to automate the procedure of choosing a model of formalizing the interaction between actors in virtual communities of social networking services and synergistic management of such processes. The developed system aims to increase the effectiveness of counteracting threats to information security of the state in social networking services. The mathematical apparatus of the fuzzy set theory and the Mamdani algorithm are the basis for the functioning of the decision support system. The usage of the developed fuzzy inference system will remove the ambiguity of information security expertise in the course of choosing approaches to formalization and the model of synergistic management of actors’ interaction in the conditions of incomplete information and ambiguous assessment of the state information security threat in social networking services.
Volume: 11
Issue: 3
Page: 2490-2499
Publish at: 2021-06-01

Internal pilot insertion for polar codes

10.11591/ijeecs.v22.i3.pp1495-1504
Walled K. Abdulwahab , Abdulkareem A. Kadhim
Two internal pilot insertion methods are proposed for polar codes to improve their error correction performance. The presented methods are based on a study of the weight distribution of the given polar code. The insertion of pilot bits provided a new way to control the coding rate of the modified polar code on the basis of the Hamming weight properties without sacrificing the code construction and the related channel condition. Rate control is highly demanded by 5G channel coding schemes. Two short-length polar codes were considered in the work with successive cancellation list decoding. The results showed that advantages in the range of 0.1 to 0.75 dB were obtained in the relative tolerance of the modified coded signal to the additive white Gaussian noise and fading channels at a bit error rate of 10−4. The simulation results also revealed that the performance improvements were possible with a careful insertion of the pilots. The modified polar code with pilot insertion provided performance improvement and offered the control of the coding rate without any added complexity at both the encoder and the decoder.
Volume: 22
Issue: 3
Page: 1495-1504
Publish at: 2021-06-01

Quality assurance policies and implementation in nursing and midwifery training colleges in Ghana

10.11591/ijere.v10i2.21027
Philip Anyelba Tankpara , Dickson Adom , Joe Adu-Agyem
The study assessed internal quality assurance (QA) systems in health training institutions in the Upper West Region. The study adopted the cross-section analytical design with a sample size of 272 (67 health tutors and 205 final year nursing students) using systematic and purposive sampling techniques. Data for the study were collected with a questionnaire and analyzed using SPSS and Stata. The study revealed that the majority (5 of 7) of nursing and midwifery colleges (NMTCs) in the Upper West Region have no quality assurance policy available, 65.7% of tutors indicated their institutions had quality assurance units/committees however these committees are inactive the total level of QA practices/implementation rate was low among colleges in the region. The study also revealed a lack of participatory governance and the existence of a poor communication system between staff and heads. The study contended that there is a need for heads (principals) of NMTCs in the Upper West region in Ghana should ensure the formation and functioning of QA units in their various institutions. These units should be empowered and allowed by heads to function as per recommendations by the regulatory bodies to support and to ensure quality training of nurses and midwives.
Volume: 10
Issue: 2
Page: 455-464
Publish at: 2021-06-01

Optimized routing algorithm for maximizing transmission rate in D2D network

10.11591/ijeecs.v23.i1.pp575-582
Marwa K. Farhan , Muayad S. Croock
Wireless devices have been equiping extensive services over recent years. Since most of these devices are randomly distributed, a fundamental trade-off to be addressed is the transmission rate, latency, and packet loss of the ad hoc route selection in device to device (D2D) networks. Therefore, this paper introduces a notion of weighted transmission rate and total delay, as well as the probability of packet loss. By designing optimal transmission algorithms, this proposed algorithm aims to select the best path for device-to-device communication that maximizes the transmission rate while maintaining minimum delay and packet loss. Using the Lagrange optimization method, the lagrangian optimization of rate, delay, and the probability of packet loss algorithm (LORDP) is modeled. For practical designation, we consider the fading effect of the wireless channels scenario. The proposed optimal algorithm is modeled to compute the optimal cost objective function and represents the best possible solution for the corresponding path. Moreover, a simulation for the optimized algorithm is presented based on optimal cost objective function. Simulation results establish the efficiency of the proposed LORDP algorithm.
Volume: 23
Issue: 1
Page: 575-582
Publish at: 2021-06-01
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