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29,939 Article Results

Small-signal analysis of a single-stage bridgeless boost half-bridge AC/DC converter with bidirectional switch

10.11591/ijpeds.v12.i4.pp2358-2371
Mohamad Affan Bin Mohd Noh , Mohd Rodhi Bin Sahid , Thang Ka Fei , Ravi Lakshmanan
A small-signal analysis of a single-stage bridgeless boost half-bridge alternating current/direct current (AC/DC) Converter with bidirectional switches is performed using circuit averaging method. The comprehensive approach to develop the small signal model from the steady state analysis is discussed. The small-signal model is then simulated with MATLAB Simulink. The small-signal model is verified through the comparison of the bode-plot obtained from MATLAB Simulink and the simulated large signal model in piecewise linear electrical circuit simulation (PLECS). The mathematical model obtain from the small-signal analysis is then used to determine the proportional gain K_p and integral gain K_i. In addition, the switch large-signal model is developed by considering the current and voltage waveforms during load transients and steady-state conditions.
Volume: 12
Issue: 4
Page: 2358-2371
Publish at: 2021-12-01

Automated object detection of mechanical fasteners using faster region based convolutional neural networks

10.11591/ijece.v11i6.pp5430-5437
M. Karthikeyan , T. S. Subashini
Mechanical fasteners are widely used in manufacturing of hardware and mechanical components such as automobiles, turbine & power generation and industries. Object detection method play a vital role to make a smart system for the society. Internet of things (IoT) leads to automation based on sensors and actuators not enough to build the systems due to limitations of sensors. Computer vision is the one which makes IoT too much smarter using deep learning techniques. Object detection is used to detect, recognize and localize the object in an image or a real time video. In industry revolution, robot arm is used to fit the fasteners to the automobile components. This system will helps the robot to detect the object of fasteners such as screw and nails accordingly to fit to the vehicle moved in the assembly line. Faster R-CNN deep learning algorithm is used to train the custom dataset and object detection is used to detect the fasteners. Region based convolutional neural networks (Faster R-CNN) uses a region proposed network (RPN) network to train the model efficiently and also with the help of Region of Interest able to localize the screw and nails objects with a mean average precision of 0.72 percent leads to accuracy of 95 percent object detection
Volume: 11
Issue: 6
Page: 5430-5437
Publish at: 2021-12-01

Enhancing digital marketing performance through usage intention of AI-powered websites

10.11591/ijai.v10.i4.pp810-817
Dawud Adaviruku Suleiman , Tahir Mumtaz Awan , Maria Javed
Digital and wireless technology are a crucial part of today’s modern life. Artificial intelligence (AI) uses different technologies and systems for speech recognition, visual perception and decision making to mimic human functions. This study explores the impact of AI on website interactivity and the ease of use for enhancing digital marketing performance. The methodology used is qualitative with structured interviews, using three artificial intelligence-powered websites (Amazon, Alibaba, and Uber) as reference. The participants' structured interview responses were grouped into different thematic heading for coding and were subsequently analyzed by NVivo. The result found that artificial intelligence empowered websites were interactive, participants don’t feel safe and secure, easy to use, and tend to boost digital marketing performances. This study implies that more digital marketing companies should consider integrating artificial intelligence capabilities in their business operations. More security features should be embedded to help customers calm the fears of web insecurities.
Volume: 10
Issue: 4
Page: 810-817
Publish at: 2021-12-01

Characterizing power transformer frequency responses using bipolar pseudo-random current impulses

10.11591/ijpeds.v12.i4.pp2423-2434
Fredrick Mwaniki , Ahmed A. Sayyid
The behaviour of a power transformer is complex and difficult to predict during transient conditions or during operation at frequencies below or above its nominal frequency, a phenomenon common in renewable energy plants due to harmonic distortion. Furthermore, the accuracy of a power system simulation depends on the models of critical subsystems such as the power transformers. This paper presents the use of a unique excitation waveform comprising of pseudo-random current impulses to accurately identify the wideband characteristics of a power transformer. By injecting the excitation waveform to the relevant transformer terminals, frequency responses are determined by cross-correlation of the perturbation signal, and the measured response. Compared to the traditional transformer identification methods, the pseudo-random current impulses offer a wideband excitation with a higher degree of controllability such that its spectral energy can be focused in the frequency band of interest. The proposed method was investigated on a 16 kVA, 22 kV/240 V single-phase transformer. The obtained wideband frequency responses provide useful information in harmonic penetration and over-voltage studies and are also used to estimate, with a high degree of accuracy, the lumped parameters of the equivalent transformer broadband circuit model.
Volume: 12
Issue: 4
Page: 2423-2434
Publish at: 2021-12-01

Predictive ability of problem-solving efficacy sources on mathematics achievement

10.11591/ijere.v10i4.21416
Januard D. Dagdag , Noel A. Palapuz , Nikka A. Calimag
This study examined the relationship between mathematics achievement and mathematics problem-solving efficacy sources. A cluster sample of 123 first year prospective teachers of a Philippine higher education institution responded to a 30-item problem-solving efficacy scales and took the teacher-made tests in Mathematics in the Modern World course; namely, Non-Routine Problem Solving and Natures and Numbers Pattern Tracing (NRPS-NNPT), Math Language and Symbols (MLS), and Data Management (DM). The research data was analyzed using Descriptive statistics, Pearson-r and Standard Multiple Regression. On the average, the respondents had satisfactory mathematics achievement. They reported a high level of social persuasion and somatic response and a low level of vicarious experience and mastery experience in mathematics problem-solving. Vicarious experience was directly associated with mastery experience while social persuasion and mastery experience were both inversely related to somatic responses. Among the four problem-solving efficacy sources, only social persuasion significantly predicted mathematics achievement specifically in the areas of NRPS-NNPT, MLS, and DM. Thus, becoming a trusted voice of encouragement and designing a persuasive and optimistic learning environment are highly recommended roles of schools to facilitate students’ mathematics achievement.
Volume: 10
Issue: 4
Page: 1185-1191
Publish at: 2021-12-01

A novel direct torque and flux control of permanent magnet synchronous motor with analytically-tuned PI controllers

10.11591/ijpeds.v12.i4.pp2103-2112
Kenneth Odo , Chibuike Ohanu , Ifeanyi Chinaeke-Ogbuka , Augustine Ajibo , Cosmas Ogbuka , Emenike Ejiogu
This work presents a novel direct torque and flux control (DTFC) of permanent magnet synchronous motor (PMSM) with analytically-tuned proportional integral (PI) controllers. The proportional (K_p) and integral (K_i) gains of the PI controllers were accurately determined, from first principle, using the model of the control system. The PI flux and torque controllers were then developed in rotor reference frame. The designed PI controllers, together with the torque and flux controllers, were tested on a permanent magnet synchronous motor (PMSM). The results obtained were compared with results from conventional DTFC system using manually-tuned PI controllers. The total harmonic distortion (THD) of motor phase currents is 18.80% and 4.81% for the conventional and proposed models respectively. This confirms a significant reduction in torque ripples. The control system was tested for step torque loading and found to offer excellent performance both during load changes, speed reversal, and constant load conditions.
Volume: 12
Issue: 4
Page: 2103-2112
Publish at: 2021-12-01

On data collection time by an electronic nose

10.11591/ijece.v11i6.pp4767-4773
Piotr Borowik , Leszek Adamowicz , Rafał Tarakowski , Krzysztof Siwek , Tomasz Grzywacz
We use electronic nose data of odor measurements to build machine learning classification models. The presented analysis focused on determining the optimal time of measurement, leading to the best model performance. We observe that the most valuable information for classification is available in data collected at the beginning of adsorption and the beginning of the desorption phase of measurement. We demonstrated that the usage of complex features extracted from the sensors’ response gives better classification performance than use as features only raw values of sensors’ response, normalized by baseline. We use a group shuffling cross-validation approach for determining the reported models’ average accuracy and standard deviation.
Volume: 11
Issue: 6
Page: 4767-4773
Publish at: 2021-12-01

A new perturb and observe MPPT algorithm based on two steps variable voltage control

10.11591/ijpeds.v12.i4.pp2201-2208
Hussain Attia , Suleyman Ulusoy
Based on the fact that the effectiveness of perturb and observe algorithm in a maximum power point tracking maximum power point tracking (MPPT) in a photovoltaic array is a tradeoff between the tracking speed during the transient response and the oscillation around the stable level during the steady state response. To have a high tracking speed, incremental step should be high, but this high incremental step increases the oscillation level around the steady level of MPPT, whereas adopting low incremental step reduces the algorithm response time but improve the response during the steady state condition. This paper presents a new perturb and observe algorithm based on two step variable control for MPPT applications. A two variable incremental step control is proposed to gain the merit of high step for guaranteeing a fast response during tracking process, and also for guaranteeing the merit of low oscillation during the steady state working condition through adopting a low step during steady state response. The effectiveness of the proposal is proved by the analysis of the simulation results via MATLAB/Simulink software, and by the comparison of the simulation results with a conventional perturb and observe MPPT algorithm.
Volume: 12
Issue: 4
Page: 2201-2208
Publish at: 2021-12-01

Efficient radio resource allocation scheme for 5G networks with device-to-device communication

10.11591/ijece.v11i6.pp5588-5600
Fareha Nizam , Mardeni Roslee , Zubaida Yusoff , Prince Ugochukwu Nmenme , Keshvinder Singh , Hafizal Mohamad , Anwar Faizd Bin Osman , Ibraheem Abdullah Mohammed Shayea
A vital technology in the next-generation cellular network is device-to-device (D2D) communication. Cellular user enabled with D2D communication provides high spectral efficiency and further increases the coverage area of the cell, especially for the end-cell users and blind spot areas. However, the implementation of D2D communication increases interference among the cellular and D2D users. In this paper, we proposed a radio resource allocation (RRA) algorithm to manage the interference using fractional frequency reuse (FFR) scheme and Hungarian algorithm. The proposed algorithm is divided into three parts. First, the FFR scheme allocates different frequency bands among the cell (inner and outer region) for both the cellular and the D2D users to reduce the interference. Second, the Hungarian weighted bipartite matching algorithm is used to allocate the resources to D2D users with the minimum total system interference, while maintaining the total system sum rate. The cellular users share the resources with more than one D2D pair. Lastly, the local search technique of swapping is used for further allocation to minimize the interference. We implemented two types of assignments, fair multiple assignment, and restricted multiple assignment. We compared our results with existing algorithms which verified that our proposed algorithm provides outstanding results in aspects like interference reduction and system sum rate. For restricted multiple assignment, 60-70% of the D2D users are allocated in average cases.
Volume: 11
Issue: 6
Page: 5588-5600
Publish at: 2021-12-01

A global system for mobile communications-based electrical power consumption for a non-contact smart billing system

10.11591/ijece.v11i6.pp4659-4666
Ihsan Jabbar Hasan , Bushra Mahmoud Waheib , Nahla Abdul Jalil Salih , Nadhir Ibrahim Abdulkhaleq
This paper proposes a cheap solution to be a starting point for building smart electrical power billing systems. Electrical power has many challenges issues in Iraq, one of these challenges and the most important is the Billing system. The smart power meter uses an Arduino Uno as the core for controlling the sensed data and transmits it to the electrical power unit for billing services. The system is constructed with two parts: the transmitting unit measures the current, voltage, power and power factor through the compact new sensor PZEM-004T. The data sensed and processed by the microcontroller which displayed the KWh on (2*16 LCD) display. This data also transmitted to the electrical power company unit via the global system for mobile communications (GSM) module (SIM900A) which is a dual band GSM/GPRS-general packet radio service modem. The receiving part is mainly dedicated for collecting the required consumed power data via the same (SIM900A) module and also can display it using (2*16 LCD) display. For the sake of saving these data, the receiver part uses SD ram for such purposes. With such proposed system the electrical power company can control and collect their fees monthly without loss and with minimum cost.
Volume: 11
Issue: 6
Page: 4659-4666
Publish at: 2021-12-01

Series FACTS controllers in industrial low voltage electrical distribution networks for reducing fault current levels

10.11591/ijpeds.v12.i4.pp1953-1965
Vishnu Charan Thippana , Alivelu Manga Parimi , Chandram Karri
In this paper, series Flexible AC transmission systems (FACTS) devices like Thyristor control series capacitor (TCSC) and Static synchronous series compensator (SSSC) with designed control logic used to reduce the fault current located in LV distribution network at the LV busbar. The electrical distribution network in small and medium scale industries such as steel plants, process and power plants is through low voltage switchgear (LVS) fed from motor control centre (MCC) switchgear through step down transformer of 11kV or 33kV/415V. The designed switchgear in the LV side for these utilities usually is at 50kA. However, the process loads are continuously increasing and sustained with additional feeders with the existing switchgear. Consequently, the fault current at the busbar of the switchgear increases which may require the replacement of entire switchgear to the new design fault current. However, upgrading the existing switchgear is not an economical solution to the industries. Alternatively reducing the fault current at the busbar is feasible. Controller design implemented for reducing the short circuit current with series FACTS devices. A study carried on 800MW Thermal power plant Ash handling LVS in ETAP and Matlab. It is observed that the results are encouraging to use series FACTS devices effectively in the LVS.
Volume: 12
Issue: 4
Page: 1953-1965
Publish at: 2021-12-01

Development of solar photovoltaic model for wide range of operating conditions

10.11591/ijpeds.v12.i4.pp2483-2491
Mohammed Asim , Adil Sarwar , Mohammad Shahabuddin , Mohammad Saood Manzar
Assorted climatic conditions such as irradiation, temperature and shading due to clouds, trees, buildings, communication towers etc. has an unavoidable impact on the output of solar photovoltaic (PV) system. This creates a need for the analytical performance study of solar PV system in changing atmospheric condition in order to design and install an optimized solar PV system for both, stand alone and grid connected. The present work shows the developed PV model in MATLAB codes and simulation is done under varying climate conditions showing change in irradiation and temperature using different arrangements of PV system. PV parameters are obtained in different setup and I-V and P-V characteristics of the developed model of the PV modules are analyzed. A comparative study of the parameters obtained is quite beneficial for an optimized design of the PV system under different atmospheric conditions.
Volume: 12
Issue: 4
Page: 2483-2491
Publish at: 2021-12-01

Factors affecting students’ choice of educational administration major: Why do students join the program?

10.11591/ijere.v10i4.21904
Didik Wardaya , Lantip Diat Prasojo , Sugiyono Sugiyono
The study examined factors affecting Behavioral Intention (BI) regarding students’ choice of educational administration as their major. Samples were taken from Indonesian students. The process was begun with the adaptation of survey instruments from previous studies validated through content validity. In testing the normality, Skewness and Kurtosis values were computed. Reliability assessment was applied through Cronbach’s alpha. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were both conducted for the constructs. In examining the relationship, Structural Equation Modeling (SEM) analysis using AMOS 23.0 was applied to 257 responses. The findings informed that two relationships were significant while the other two are insignificant. Perceived Behavioral Control (PBC) and Attitude (AT) significantly predicted BI, while Subjective Norm (SN) and Facilitating Condition (FC) did not significantly predict BI. The current study can expand an in-depth contribution and reference for further researchers as a basis of the empirical evidence in relation to the validated survey questionnaire. Access to the questionnaire may contribute to educational stakeholders establishing policies to improve students’ interests in studying in an educational administration study program.
Volume: 10
Issue: 4
Page: 1125-1132
Publish at: 2021-12-01

Harnessing wind and solar PV system to build hybrid power system

10.11591/ijpeds.v12.i4.pp2160-2168
S. S. Saswat , Suman Patra , Debani Prasad Mishra , Surender Reddy Salkuti , Rudra Narayan Senapati
Electricity is the most important consideration for individual needs. Natural crossover power architecture using photovoltaic and wind is presented in this study, together with a Cuk direct current-direct current (DC-DC) converter, third phase inverter, and an inductors capacitors (LC) filter. Due to its natural disposal and availability in India, wind power and photovoltaics are ideal for the hybrid system. Hybrid power structures, on the other hand, reduce the risk of damage to equipment in sustainable stock storage since they have a higher electrical output. MATLAB Simulink was used to demonstrate this hybrid application. Before connecting the entire DC voltage frame with the main lattice of the power frame, blocks such as the wind model, PV model, Cuk converter, inverter, and LC channel are built individually. Information limitations for participating in varying levels of irradiance and variations in wind speed. The results show that the hybrid system has a considerably more reliable standard in terms of energy efficiency than an independent framework. Furthermore, the hybrid system's Cuk DC-DC converter, three-phase standard-based inverter, and LC channel can minimise power switching power.
Volume: 12
Issue: 4
Page: 2160-2168
Publish at: 2021-12-01

A fuzzy rule based approach for islanding detection in grid connected inverter systems

10.11591/ijece.v11i6.pp4759-4766
Naima Ikken , Nour-Eddine Tariba , Abdelhadi Bouknadel , Ahmed Haddou , Hafsa El Omari , Hamid El Omari
Islanding is when an area of the electrical distribution system is isolated from the electrical system while being powered by distributed generators. An important condition for the interconnection of power plants and distribution systems is the ability of the power plant to detect islands. The presented and proposed method is a combination of best active sandia frequency shift (SFS) method with the intelligent fuzzy logic controller, which has been tested in distributed production using the island detection function. And the choice to improve the method by fuzzy logic control (FLC) is retained, as this process is more effective in decreasing the non-detection zone (NDZ) and in further improving the efficiency of the islanding detection system. This paper proposes a new active islanding detection technique controlled by a fuzzy logic controller, for grid connected photovoltaic (PV) inverters. In addition, the efficiency and performance of the proposed method strategy for islanding detection has been analyzed and tested in the various situations of the network. In addition, the results of the simulations with the power simulation (PSIM) software will be provided to illustrate the main conclusions and the development of the control. Thus, will be used to show the feasibility and validity of the proposed new algorithm.
Volume: 11
Issue: 6
Page: 4759-4766
Publish at: 2021-12-01
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