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31,456 Article Results

Non-isolated multiple input multilevel output DC-DC converter for hybrid power system

10.11591/ijeecs.v19.i2.pp635-643
Ameen M. Al-Modaffer , Amer A. Chlaihawi , Husam A. Wahhab
The utilization of multisources of energy in a compact and an effective power system gains an essential role in power electronic industry. As such, the design and simulation of a new non-isolated multiple input multilevel output (MIMLO) DC-DC converter for hybrid power system is presented. The MIMLO DC-DC converter can be integrated in renewable energy, such as fuel cells, wind turbines and photovoltaic arrays etc, to get the best output voltages. The MIMLO DC-DC converter powers the load from renewable energy sources through the independence of the availability of other sources. The proposed topology has been simulated by using MATLAB/Simulink software to testify the performance control operation of the multiple input multilevel output DC-DC converter. The results of the carried-out simulation favor the usage of multi-input voltage, rather than a single input voltage. The MIMLO design has the advantages of a simple configuration, reduced number of switches, fewer components, high efficiency, and high conversion ratio. The multilevel output DC-DC converter provides high voltage transfer with low size inductors, reduction of losses, low stress voltage on switches and diodes.ย 
Volume: 19
Issue: 2
Page: 635-643
Publish at: 2020-08-01

Energy cost savings based on the UPS

10.11591/ijece.v10i4.pp4237-4243
Phu Tran Tin , Duy Hung Ha , Minh Tran , Quang Sy Vu
Energy-saving, improving energy efficiency, and finding a new efficient way to use energy are considered as an urgent problem in over the world. In this paper, we consider the economics of energy use in combination with energy storage units where two forms of electricity exist in the power system. Then the problem of optimizing the installation capacity (to optimize the investment costs for energy storage) is presented and investigated in connection with the conversion systems. The topic opens a very significant result, including the introduction of a mathematical model to calculate the simulation in optimizing the installation capacity of the equipment in the system, multi-source power, as well as voltage and power stability benefits.
Volume: 10
Issue: 4
Page: 4237-4243
Publish at: 2020-08-01

Smart monitoring system of Najran dam

10.11591/ijece.v10i4.pp3999-4007
A. H. M. Almawgani , M. A. Alshorman , M. A. Alyami , H. M. Alhmammi , D. S. Almahri , M. A. Alkhuraym , A. H. Alwasel
Najran city faces the flood situation every year due to intensive rain and climatic disturbances. Flooding also causes loss of money, along with loss of life and property and the destruction of agriculture and livestock. Thus, this project proposes a conceptual framework with three main phases: monitoring the water level inside the dam and level in water stream before and after the dam, controlling the opening and closing of the dam gate and measuring the water pressure at the dam barrier. In the case of high water level dam is monitored through water sensors placed at the top of the dam and then these sensors give a reference to the stepper motor and the flow of the stepper motor is controlled by the dam gate. The experimental results shows that the proposed system has the capability to reliably tackle the flood water. It can accurately measure the water level and control the gate of dam as soon as the level of the water reaches to danger level and water pressure at the barrier is measured by the sensor. The developed real-time monitoring system in Najran dam will help authorities to take preventive actions to deal with flood disaster.
Volume: 10
Issue: 4
Page: 3999-4007
Publish at: 2020-08-01

The mediating role of perceived administrative support for the effect of job motivation on organizational identification

10.11591/ijere.v9i3.20440
Gรถkรงe ร–zdemir
In this study, the mediating role of perceived administrative support for the effect of teachersโ€™ job motivation on their organizational identification perceptions was investigated. For this purpose, in mind, the opinions of 320 kindergarten teachers in 304 schools from 13 different school districts of ลžahinbey/Gaziantep were received. However, 233 scales were taken into consideration. The research data were collected through Job Motivation Scale (JMS), Organizational Identification Scale (OIS) and Perceived Administrative Support Scale (PASS). Descriptive statistics, correlation analysis, multiple regression analysis, and path analysis were used in data analysis. Analysis results revealed that the job motivation perceptions of teachers were high. In addition, it was revealed that the participants also had high scores for organizational identification and perceived administrative support. Correlation analyses yielded positive, moderate and significant relationships between the research variables. Path analysis uncovered that perceived administrative support had a โ€œpartial mediatingโ€ role for the relationship between job motivation and organizational identification. Based on research findings, it was concluded that the effect of job motivation on teachersโ€™ identification with their organizations was realized through perceived administrative support, albeit partially.
Volume: 9
Issue: 3
Page: 539-547
Publish at: 2020-08-01

Design of probe for NQR/NMR detection

10.11591/ijece.v10i4.pp3468-3475
Preeti Hemnani , A. K. Rajarajan , Gopal Joshi , S. V. G. Ravindranath
Nuclear Magnetic Resonance (NMR) is a RF technique that is able to detect any compound by sensing the excited resonance signals from atomic nuclei having non-zero spin. NQR is similar to NMR but the only difference is NMR needs a DC magnetic field and due to this its application in the field is limited. A FPGA based NQR spectrometer is designed using a single FPGA chip to perform the digital tasks required for NQR spectrometer. Design of Probe for NMR/NQR spectrometer is researched. Parallel tuned and series tuned Probes are discussed and simulated.14N NQR from NaNO2 is observed from spectrometer designed with parallel tuned probe.
Volume: 10
Issue: 4
Page: 3468-3475
Publish at: 2020-08-01

Conflict-free dynamic route multi-AGV using dijkstra floyd-warshall hybrid algorithm with time windows

10.11591/ijece.v10i4.pp3596-3604
Solichudin Solichudin , Aris Triwiyatno , Munawar A. Riyadi
Autonomous Guided Vehicle is a mobile robot that can move autonomously on a route or lane in an indoor or outdoor environment while performing a series of tasks. Determination of the shortest route on an autonomous guided vehicle is one of the optimization problems in handling conflict-free routes that have an influence on the distribution of goods in the manufacturing industry's warehouse. Pickup and delivery processes in the distribution on AGV goods such as scheduling, shipping, and determining the route of vehicle with short mileage characteristics, is very possible to do simulations with three AGV units. There is a windows time limit on workstations that limits shipping. The problem of determining the route in this study is considered necessary as a multi-vehicle route problem with a time window. This study aims to describe the combination of algorithms written based on dynamic programming to overcome the problem of conflict-free AGV routes using time windows. The combined approach of the Dijkstra and Floyd-Warshall algorithm results in the optimization of the closest distance in overcoming conflict-free routes.
Volume: 10
Issue: 4
Page: 3596-3604
Publish at: 2020-08-01

An adaptation of Text2Onto for supporting the French language

10.11591/ijece.v10i4.pp3743-3750
Morad Hajji , Mohammed Qbadou , Khalifa Mansouri
The ontologies are progressively imposing themselves in the field of knowledge management. While the manual construction of an ontology is by far the most reliable, this task has proved to be too tedious and expensive. To assist humans in the process of building an ontology, several tools have emerged proposing the automatic or semi-automatic construction of ontologies. In this context, Text2Onto has become one of the most recognized ontology learning tools. The performance of this tool is confirmed by several research works. However, the development of this tool is based on Princeton WordNet (PWN) for English. As a result, it is limited to the processing of textual resources written in English. In this paper, we present our approach based on JWOLF, a Java API to access the free WordNet for French that we have developed to adapt this tool for the construction of ontologies from corpus in French. To evaluate the usefulness of our approach, we assessed the performance of the improved version of Text2Onto on a simplistic corpus of French language documents. The results of this experiment have shown that the improved version of Text2Onto according to our approach is effective for the construction of an ontology from textual documents in the French language.
Volume: 10
Issue: 4
Page: 3743-3750
Publish at: 2020-08-01

Competency improvement through internship: An evaluation of corporate social responsibility program in vocational school

10.11591/ijere.v9i3.20571
Mgs. Ahmad Ramadhani , Ety Rahayu
The high unemployment rate in Indonesia derived from vocational school graduates could be alleviated through internship as a part of Corporate Social Responsibility program that deployed by company together with school to equip its students or graduates with set of competences, therefore they will be competent and able to compete in job market, especially in the era of disruptive technologies. This applied research of evaluation using qualitative approach aimed to evaluate the input and process of the corporate social responsibility program in vocational internship conducted by an oil and gas manufacturing company in Indonesia. The results of this revealed some inputs that were the source of program success and processes that determined the quality of the program. Aspects of input generally met the ideal criteria such as competent program staff, participant characteristic reflecting program objectives, flexible and synchronized curriculum, adequate facility, and available procedure. Aspects of the process complied with regulations and procedures as well. Both aspects resulted the achievement of outcome that exceeded expectation such as competence improvement, cost saving, awards and provide information to be replicated by other institutions.
Volume: 9
Issue: 3
Page: 625-634
Publish at: 2020-08-01

Measuring information credibility in social media using combination of user profile and message content dimensions

10.11591/ijece.v10i4.pp3537-3549
Erwin B. Setiawan , Dwi H. Widyantoro , Kridanto Surendro
Information credibility in social media is becoming the most important part of information sharing in the society. The literatures have shown that there is no labeling information credibility based on user competencies and their posted topics. This study increases the information credibility by adding new 17 features for Twitter and 49 features for Facebook. In the first step, we perform a labeling process based on user competencies and their posted topic to classify the users into two groups, credible and not credible users, regarding their posted topics. These approaches are evaluated over ten thousand samples of real-field data obtained from Twitter and Facebook networks using classification of Naive Bayes (NB), Support Vector Machine (SVM), Logistic Regression (Logit) and J48 algorithm (J48). With the proposed new features, the credibility of information provided in social media is increasing significantly indicated by better accuracy compared to the existing technique for all classifiers.
Volume: 10
Issue: 4
Page: 3537-3549
Publish at: 2020-08-01

Comparative method of moora, copras and topsis based on weighting of best worst method in supplier selection at ABC mining companies in Indonesia

10.11591/ijeecs.v19.i2.pp890-899
Ryco Puji Setyono , Riyanarto Sarno
Supplier selection is essential to the business. The risks posed by suppliers will have a significant impact on the company's performance. Each business has distinct supplier features to mitigate this.These characteristics are divided into criteria in supplier selection. In this study, the criteria in supplier selection will be weighted by best worst method (BWM) and comparing the three ranking methods, complex proportional assessment (COPRAS), multi-objective optimization berdasarkan analisis rasio (MOORA) and technique for order preference by similarity to ideal solution (TOPSIS). The sample in this study is an ABC manufacturing company engaged in mining from Indonesia. From the results of the study, there were 16 criteria using the Delphi Method. These criteria are divided into four main criteria, namely service, quality, cost and time. From the results of weighting BWM, the price sub criteria on cost criteria have the greatest weight for ABC companies. The results of the weighting are then carried out by supplier ranking by comparing the COPRAS, MOORA and TOPSIS approaches. In comparing these three methods, approaches are used based on accuracy and complexity. The COPRAS method has the highest accuracy and lowest complexity according to the ABC company.
Volume: 19
Issue: 2
Page: 890-899
Publish at: 2020-08-01

A NURBS-optimized dRRM solution in a mono-channel condition for IEEE 802.11 entreprise Wlan networks

10.11591/ijece.v10i4.pp4189-4207
Mehdi Guessous , Lahbib Zenkouar
Dynamic radio resource management, RRM, is an essential design block in the functional architecture of any Wifi controller in IEEE 802.11 indoor dense enterprise Wlans. In a mono-channel condition, it helps tackle co-channel interference problem and enrich end-to-end Wifi clients experience. In this work, we present our dRRM solution: WLCx, and demonstrate its performance over related-work and vendor approaches. Our solution is built on a novel and realistic per-Beam coverage representation approach. Unlike the other RRM solutions, WLCx is dynamic: even the calculation system parameters are processed. This processing comes at price in terms of processing time. To overcome this limitation, we constructed and implemented a NURBS surface-based optimization to our RRM solution. Our NURBS optimized WLCx, N-WLCx, solution achieves almost 92.58% time reduction in comparison with basic WLCx. Furthermore, our optimization could easily be extended to enhance others, vendors and research, RRM solutions.
Volume: 10
Issue: 4
Page: 4189-4207
Publish at: 2020-08-01

Power minimization of WBSN using adaptive routing protocoL

10.11591/ijeecs.v19.i2.pp837-846
Ammar Sabeeh Hmoud Altamimi , Omar Raad K. Al-Dulaimi , Amar A. Mahawish , M. M. Hashim , Mustafa S. T.
The present work was an attempt to address a challenge of energy utilization or consumption in WBSN, it used a proposed routing algorithm based on ant optimization technique to distribute energy utilization efficiently on nodes. Thus reducing consumed energy and extending the life cycle of nodes, as well as avoiding damages might be occurred in tissues of patient`s body. At the beginning the proposed protocol was compared with conventional routing protocol LEACH to prove it`s efficiency in the extending of the life cycle of node, then it was used with experimental network was employed to examine energy utilizations. The obtained results were compared with others attained by conventional and developed routing protocols, there was considerable minimizing in the energy consumption that proved efficiency of proposed algorithm.
Volume: 19
Issue: 2
Page: 837-846
Publish at: 2020-08-01

Cloud computing survey on services, enhancements and challenges in the era of machine learning and data science

10.11591/ijict.v9i2.pp117-139
Wajid Hassan , Te-Shun Chou , Omar Tamer , John Pickard , Patrick Appiah-Kubi , Leslie Pagliari
Cloud computing has sweeping impact on the human productivity. Today itโ€™s used for Computing, Storage, Predictions and Intelligent Decision Making, among others. Intelligent Decision Making using Machine Learning has pushed for the Cloud Services to be even more fast, robust and accurate. Security remains one of the major concerns which affect the cloud computing growth however there exist various research challenges in cloud computing adoption such as lack of well managed service level agreement (SLA), frequent disconnections, resource scarcity, interoperability, privacy, and reliability. Tremendous amount of work still needs to be done to explore the security challenges arising due to widespread usage of cloud deployment using Containers. We also discuss Impact of Cloud Computing and Cloud Standards. Hence in this research paper, a detailed survey of cloud computing, concepts, architectural principles, key services, and implementation, design and deployment challenges of cloud computing are discussed in detail and important future research directions in the era of Machine Learning and Data Science have been identified.
Volume: 9
Issue: 2
Page: 117-139
Publish at: 2020-08-01

Feature selection for multiple water quality status: Integrated bootstrapping and SMOTE approach in imbalance classes

10.11591/ijece.v10i4.pp4331-4339
Shofwatul Uyun , Eka Sulistyowati
STORET is one method to determine the river water quality into four classes (very good , good, medium and bad) based on the data of water for each attribute or feature. The success of the formation of pattern recognition model much depends on the quality of data. There are two issues as the concern of this research as follows: the data having disproportionate amount among the classes (imbalance class) and the finding of noise on its attribute. Therefore, this research integrates the SMOTE Technique and bootstrapping to handle the problem of imbalance class. While an experiment is conducted to eliminate the noise on the attribute by using some feature selection algorithms with filter approach (information gain, rule, derivation, correlation and chi square). This research has some stages as follows: data understanding, pre-processing, imbalance class, feature selection, classification and performance evaluation. Based on the result of testing using 10-fold cross validation, it shows that the use of the SMOTE-bootstrapping technique is able to increase the accurate value from 83.3% to be 98.8%. While the process of noise elimination on the data attribute is also able to increase the accuracy to be 99.5% (the use of feature subset produced by the information gain algorithm and the decision tree classification algorithm).
Volume: 10
Issue: 4
Page: 4331-4339
Publish at: 2020-08-01

Novel holistic architecture for analytical operation on sensory data relayed as cloud services

10.11591/ijece.v10i4.pp4322-4330
Manujakshi B. C , K. B. Ramesh
With increasing adoption of the sensor-based application, there is an exponential rise of the sensory data that eventually take the shape of the big data. However, the practicality of executing high end analytical operation over the resource-constrained big data has never being studied closely. After reviewing existing approaches, it is explored that there is no cost effective schemes of big data analytics over large scale sensory data processiing that can be directly used as a service. Therefore, the propsoed system introduces a holistic architecture where streamed data after performing extraction of knowedge can be offered in the form of services. Implemented in MATLAB, the proposed study uses a very simplistic approach considering energy constrained of the sensor nodes to find that proposed system offers better accuracy, reduced mining duration (i.e. faster response time), and reduced memory dependencies to prove that it offers cost effective analytical solution in contrast to existing system.
Volume: 10
Issue: 4
Page: 4322-4330
Publish at: 2020-08-01
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