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Optimal placement of PMU for complete observability of the interconnected power network considering zero-injection bus: A numerical approach

10.11591/ijape.v9.i2.pp135-146
Rohit Babu , Biplab Bhattacharyya
This paper presents an approach to place the phasor measurement unit (PMU)optimally, which minimizes the setup cost of PMU. This methodology attains complete state estimation of the interconnected power networks. An integer linear programming (ILP) method is explored for the optimal PMU placement problem. It is used to determine the optimal location and minimum number of PMUs necessary to make the interconnected power network completely observable. ILP may provide many solutions if acquainting buses to zero injection buses are unhandled. In the case of more than one solution, a bus observability redundancy index and total system observability redundancy index is proposed to find the most promising solutions set for redundancy measurement. The proposed algorithm is applied to benchmark the optimal PMU placement solutions for the IEEE 14-bus, IEEE 30-bus, New England 39-bus, IEEE 118-bus, and NRPG 246-bus test systems. The obtained results of the proposed approach are compared with the existing standard algorithm, and it is observed that the proposed approach achieves complete observability of the interconnected power network under base-load conditions.
Volume: 9
Issue: 2
Page: 135-146
Publish at: 2020-08-01

Predicting depression using deep learning and ensemble algorithms on raw twitter data

10.11591/ijece.v10i4.pp3751-3756
Nisha P. Shetty , Balachandra Muniyal , Arshia Anand , Sushant Kumar , Sushant Prabhu
Social network and microblogging sites such as Twitter are widespread amongst all generations nowadays where people connect and share their feelings, emotions, pursuits etc. Depression, one of the most common mental disorder, is an acute state of sadness where person loses interest in all activities. If not treated immediately this can result in dire consequences such as death. In this era of virtual world, people are more comfortable in expressing their emotions in such sites as they have become a part and parcel of everyday lives. The research put forth thus, employs machine learning classifiers on the twitter data set to detect if a person’s tweet indicates any sign of depression or not.
Volume: 10
Issue: 4
Page: 3751-3756
Publish at: 2020-08-01

Validation of a digital tool for diagnosing mathematical proficiency

10.11591/ijere.v9i3.20503
Putcharee Junpeng , Metta Marwiang , Samruan Chinjunthuk , Prapawadee Suwannatrai , Kanokporn Chanayota , Kissadapan Pongboriboon , Keow Ngang Tang , Mark Wilson
This study was aimed to validate a digital tool for diagnosing mathematical proficiency in the Number and Algebra strand of 1,504 Thai seventh-grade students. Researchers employed a multidimensional approach, an extension of the Rasch model to measure its quality. A design-based research method was adopted to create the diagnostic tool which consists of four components, namely register system, input data, process system, and diagnostic feedback report. The diagnostic framework consists of 18 tasks encompassing 11 and 7 tasks in the Mathematical Procedures Dimension and Structure of the Observed Learning Outcome dimension, respectively. The results revealed that there is internal structure evidence of validity based on the comparison of model fit and the Wright map. The results also indicated that the reliability evidence and item fit are compliant with the quality of the digital tool as shown in the analysis of standard error of measurement and infit and outfit of the items. In conclusion, the developed digital tool can diagnose seventh-grade students’ multiple mathematical proficiencies in terms of accuracy, consistency, and stability. This implies that the digital tool can provide fruitful information, particularly to those intermediate and high mathematical proficiency levels because the error for estimating proficiency in each dimension was at the lowest value for those students.
Volume: 9
Issue: 3
Page: 665-674
Publish at: 2020-08-01

Solving optimal reactive power problem by enhanced fruit fly optimization algorithm and status of material algorithm

10.11591/ijape.v9.i2.pp100-106
Kanagasabai Lenin
This paper proposes enhanced fruit fly optimization algorithm (EFF) and status of material algorithm (SMA) to solve the optimal reactive power problem. Fruit fly optimization algorithm is based on the food finding behavior of the fruit fly. There are two steps in food finding procedure of fruit fly: At first it smells the food source by means of osphresis organ and it flies in that direction; afterwards, when it gets closer to the food site, through its sensitive vision it will find the food. At the beginning of the run by diminishing the inertia weight from a large value to a small value, will lead to enhance the global search capability and more local search ability will be in process the end of the run of the EFF algorithm. Then SMA is projected to solve the problem. Three state of material are solid, liquid, and gas. For evolution procedure direction vector operator assign a direction to every molecule consecutively to guide the particle progression. Collision operator imitates the collisions factor in which molecules are interacting to each other. Proposed enhanced EFF, SMA has been tested in standard IEEE 30 bus test system and simulation results show the projected algorithms reduced the real power loss considerably.
Volume: 9
Issue: 2
Page: 100-106
Publish at: 2020-08-01

A new structure of a wide band bridge power limiter

10.11591/ijece.v10i4.pp4035-4042
Khalifa Echchakhaoui , Elhassane Abdelmounim , Jamal Zbitou , Hamid Bennis
In this work, new design and simulation of a microstrip power limiter based on Schottky diode is presented. The proposed circuit is a zero bias power limiter built by associating a transmission line in parallel to a four Schottky rectifier bridge circuit. The first circuit using a single stage rectifier is analyzed and simulated. To improve this single stage, a second and final limiter is designed with two stages rectifier. Simulation results for the final circuit show an ideal limiter behavior and good performance of limiting rate up to 20dB for a threshold input power varying from 5 dBm to 30 dBm. While insertion loss remains low at small signal.
Volume: 10
Issue: 4
Page: 4035-4042
Publish at: 2020-08-01

Series active power filter supplied by fuel cell for mitigating power quality issues

10.11591/ijape.v9.i2.pp173-192
Abdallah Ben Abdelkader , Othmane Abdelkhalek , Youssef Mouloudi , Mohamed Amine Hartani , Benabid Slimane
In this paper, the combination of the series active power filter (SAPF) with a fuel cell (FC) source is deliberated. The FC based on the SAPF aims to compensate voltage deviations or disturbances that occur in the system caused by power quality issues. The proposed system consists of a fuel cell source connected to the DC l ink through two DC-DC converters, the first extracts the maximum power of the FC source through pulse width modulation (PWM) signals generated from the maximum power point tracker (MPPT) controller. Thus, the second converter is used to regulate the high voltage side of the converter through closed control loops, in addition to a voltage source inverter (VSI) and a series injection transformer. Despite of fluctuations of the DC link during the compensation of the needed energy, MPPT and closed control loops generate PWM signals to the switching devices of DC-DC boost converters in order to extract maximum fuel cell power and to maintain the bus voltage within its limits and around its reference values respectively. The proposed topology is simulated in MATLAB/Simulink software, where simulation results show that the proposed FC based SAPF can efficiently reduce problems of voltage sags-wells and harmonics.
Volume: 9
Issue: 2
Page: 173-192
Publish at: 2020-08-01

Role of gamification in classroom teaching: Pre-service teachers’ view

10.11591/ijere.v9i3.20622
Rita Wong Mee Mee , Tengku Shahrom Tengku Shahdan , Md Rosli Ismail , Khatipah Abd Ghani , Lim Seong Pek , Wong Yee Von , Adelaide Woo , Yugeshineey Subba Rao
Planning a creative learning environment is not an easy task. Teachers prefer to teach traditionally in chalk-and-talk approach during language teaching. However, this does not fit learners of the 21st Century as they prefer game-like activities instead of pen-and-paper lessons. Hence, the introduction of gamification in classroom would result in immediate enthusiasm and curiosity, which leads to the learners’ willingness to learn. Gamification prepares learners to be active and take responsibility upon their own learning. Lessons filled with fun games are believed to be more effective in producing a positive outcome as learners are motivated to play more although they do not realise the fact that they are learning subconsciously. This study aimed to explore views of 33 pre-service teachers in using gamification in language teaching during their 16-week internship at local primary schools around Selangor, Malaysia. A quantitative survey research method was used by administering a set of questionnaires at the end of their internship. The data collected was then analysed and presented in the form of tables. The results showed that integrating gamification into language learning improved learners’ creative, critical and problem-solving skills. Thus, interesting and engaging activities spark learners’ interest in language learning subconsciously.
Volume: 9
Issue: 3
Page: 684-690
Publish at: 2020-08-01

Polar wolf optimization algorithm for solving optimal reactive power problem

10.11591/ijape.v9.i2.pp107-112
Kanagasabai Lenin
This paper proposes polar wolf optimization (PWO) algorithm to solve the optimal reactive power problem. Proposed algorithm enthused from actions of polar wolves. Leader’s wolves which denoted as xα are accountable for taking judgment on hunting, resting place, time to awaken etc. second level is xβ those acts when there is need of substitute in first case. Then xγ be as final level of the wolves. In the modeling social hierarchy is developed to discover the most excellent solutions acquired so far. Then the encircling method is used to describe circle-shaped vicinity around every candidate solutions. In order to agents work in a binary space, the position modernized accordingly. Proposed PWO algorithm has been tested in standard IEEE 14, 30, 57,118,300 bus test systems and simulation results show the projected algorithms reduced the real power loss considerably.
Volume: 9
Issue: 2
Page: 107-112
Publish at: 2020-08-01

Value preferences and requirements of the students attending the regional boarding secondary schools

10.11591/ijere.v9i3.20539
Sibel Yazıcı , Nuray Kurtdede Fidan
The aim of the study was to reveal the preferences and requirements of the students attending the Regional Boarding Secondary Schools (YBO) concerning the values contain in the educational program of the social studies course. The study was designed within the framework of phenomenology which is among the qualitative research methods. The participants of the study are 79 eight grade students attending a regional boarding secondary school in the Turkey. The data of the study are collected through a survey questionnaire with two parts which contains open-ended items. The data were analysed using the descriptive and content analyses. The findings of the study show that the participants do not differ based on gender and the socio-economic background of their families. The frequently preferred values by the participants are found to be attaching importance to the family unity, honesty, sympathy and patriotism. Another finding is that the participants do not provide a clear justification for each of the values they preferred. This suggests that it is difficult to establish a justification for the value. However, requirements value justifications are analyzed, it is seen that students they express the definition of value, its importance and the expectations of having this specific value.
Volume: 9
Issue: 3
Page: 635-643
Publish at: 2020-08-01

Modeling and control of 41-level inverter using best switching angles calculation method

10.11591/ijape.v9.i2.pp153-158
Alla Eddine Toubal Maamar , M'hamed Helaimi , Rachid Taleb , Abdelatif Gadoum
In this paper, analysis and modeling of a single-phase H-bridge forty-one level inverter are con sidered. The control of proposed inverter by equal-phase and half-height methods is implemented. MATLAB/Simulink environments are used to simulate the model an d show obtained results of waveforms with FFT analysis. Eventually, the total harmonic distortion obtained for each level with the two methods is presented, comparatively, for a comparison.
Volume: 9
Issue: 2
Page: 153-158
Publish at: 2020-08-01

Leveraging graph-based semantic annotation for the identification of cause-effect relations

10.11591/ijece.v10i4.pp4352-4362
Susetyo Bagas Bhaskoro , Inkreswari Retno Hardini
This research is related to language article in Indonesia that discuss about causality relationship research used as public health surveillance information monitoring system. Utilization of this research is suitability of feature selection, phrase annotation, paragraph annotation, medical element annotation and graph-based semantic annotation. Evaluation of system performance is done by intrinsic approach using the Naive Bayes Multinomial method. The results obtained sequentially for recall, precision and f-measure are 0.924, 0.905, and 0.910.
Volume: 10
Issue: 4
Page: 4352-4362
Publish at: 2020-08-01

Power system state estimation using teaching learning-based optimization algorithm

10.12928/telkomnika.v18i4.14159
Surender Reddy; Woosong University Salkuti
The main goal of this paper is to formulate power system state estimation (SE) problem as a constrained nonlinear programming problem with various constraints and boundary limits on the state variables. SE forms the heart of entire real time control of any power system. In real time environment, the state estimator consists of various modules like observability analysis, network topology processing, SE and bad data processing. The SE problem formulated in this work is solved using teaching leaning-based optimization (TLBO) technique. Difference between the proposed TLBO and the conventional optimization algorithms is that TLBO gives global optimum solution for the present problem. To show the suitability of TLBO for solving SE problem, IEEE 14 bus test system has been selected in this work. The results obtained with TLBO are also compared with conventional weighted least square (WLS) technique and evolutionary based particle swarm optimization (PSO) technique.
Volume: 18
Issue: 4
Page: 2125-2131
Publish at: 2020-08-01

Survey on wireless sensor networks: energy efficient optimization routing algorithms

10.11591/ijeecs.v19.i2.pp756-765
V. Sivasankarareddy , G. Sundari
Wireless Sensor Network is extensively utilized in numerous places, such as protection surveillance. In Wireless Sensor Network, sensing unit networks are particular arbitrarily in addition to likewise in-network relying upon the technique is used to extend the network. As sensing unit nodes make use of strength from batteries for noticing the facts in addition to forwarding data, it uses the capability for those answers. The sizable troubles in cordless networks include power optimization, protection, directing, and project type. In this paper, current procedures in escaping power utilization of Wireless Sensor Network in addition to distinctive protocols and also Methods are researched. Additionally, destiny research have a look at on strength efficiency in Wireless Sensor Network putting forward new terms as well as targets for in addition examination is mentioned. Depiction of optimizing strategies like particle swarm optimization set of rules as well as ant swarm optimization Formula is already possible for lowering the electricity loss and complements the life of sensor community but those strategies take in greater time. This paper gives surveying extraordinary different optimization techniques below the multi-objective facet that takes region in tradeoffs. Information extracting in sensing unit networks is the technique of obtaining software-enabled plans in addition to patterns with gratifying accuracy from a constant, speedy, in addition to probable non-ended flow of facts streams from sensor networks. Various boundaries in preceding optimization Algorithms and suggesting a great deal better treatment through applying Data extracting Strategies for Wireless Sensing unit Networks is carried out.
Volume: 19
Issue: 2
Page: 756-765
Publish at: 2020-08-01

True power loss reduction by augmented mine blast algorithm

10.11591/ijict.v9i2.pp83-91
Kanagasabai Lenin
In this paper, Mine Blast Algorithm (MBA) has been intermingled with Harmony Search (HS) algorithm for solving optimal reactive power dispatch problem. MBA is based on explosion of landmines and HS is based on Creativeness progression of musicians – both are hybridized to solve the problem.  In MBA Initial distance of shrapnel pieces are reduced gradually to allow the mine bombs search the probable global minimum location in order to amplify the global explore capability. Harmony search (HS) imitates the music creativity process where the musicians supervise their instruments’ pitch by searching for a best state of harmony. Hybridization of Mine Blast Algorithm with Harmony Search algorithm (MH) improves the search effectively in the solution space. Mine blast algorithm improves the exploration and harmony search algorithm augments the exploitation. At first the proposed algorithm starts with exploration & gradually it moves to the phase of exploitation. Proposed Hybridized Mine Blast Algorithm with Harmony Search algorithm (MH) has been tested on standard IEEE 14, 300 bus test systems. Real power loss has been reduced considerably by the proposed algorithm. Then Hybridized Mine Blast Algorithm with Harmony Search algorithm (MH) tested in IEEE 30, bus system (with considering voltage stability index)- real power loss minimization, voltage deviation minimization, and voltage stability index enhancement has been attained.
Volume: 9
Issue: 2
Page: 83-91
Publish at: 2020-08-01

QR code based two-factor authentication to verify paper-based documents

10.12928/telkomnika.v18i4.14339
Maysaa Abd Ulkareem; Technology University of Basrah Naser , Eman Talib; Technology University of Basrah Jasim , Haider M.; Technology University of Basrah Al-Mashhadi
Important paper-based documents Exposed to forgery such as: official certificates, birth, marriage, death certificates, selling and buying documents and other legal documents is more and more serious and sophisticated. With the purposes of fraud, appropriation of property, job application and assignment in order to swindle public authorities, this forgery has led to material loss, belief deterioration as well as social instability. There are many techniques has been proposed to overcome this issues such as: ink stamps, live signatures, documented the transaction in third party like the court or notary. In this paper, it’s proposed a feasible solution for forgery prevention for paper-based documents using cloud computing application. With the application of Quick Response bidirectional barcode and the usage of hash algorithm. The study aims at developing an electronic verification system for official and issued books (documents, endorsements, and other official books) to/from different sections of the Institute using QR technology.
Volume: 18
Issue: 4
Page: 1834-1842
Publish at: 2020-08-01
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