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31,456 Article Results

Projectile velocity control on coilgun using genetic algorithms

https://ijece.iaescore.com/index.php/IJECE/article/view/18279
Basuki Winarno , Rakhmad Gusta Putra , Indarto Yuwono , Bambang Sumantri , Agus Indra Gunawan
Multistage Coilgun is an electromagnetic coil composed of more than one coil so that can throw a projectile. The velocity of the projectile coming out of the tube must be controlled. The mechanism can be done by a multistage coilgun design that has a varying number of turns. Each coil that coincides with one another is wrapped separately. The motion of projectile following the velocity profile is perfomed by designing a multistage coil in different layer number based on the energy needed, and therefore the coil is more efficient. Furthermore, the velocity of the projectile is controlled by controlling the current injected to the coil using the Genetic Algorithm method. A prototype of a multistage coilgun system with the proposed coil variation is built in this work. The test is carried out 7 times with an average final velocity of the projectile of 29,89 m/s. While the results of the numerical simulation are 32,63 m/s. Testing error compared to simulation is 9,15%.
Volume: 9
Issue: 6
Page: 5321-5329
Publish at: 2019-12-01

Continuous kannada speech segmentation and speech recognition based on threshold using MFCC And VQ

10.11591/ijece.v9i6.pp4684-4695
Vanajakshi Puttaswamy Gowda , Mathivanan Murugavelu , Senthil Kumaran Thangamuthu
Continuous speech segmentation and its  recognition is playing important role in natural language processing. Continuous context based Kannada speech segmentation depends  on context, grammer and semantics rules present in the kannada language. The significant feature extraction of kannada speech signal  for recognition system is quite exciting for researchers. In this paper proposed method  is  divided into two parts. First part of the method is continuous kannada speech signal segmentation with respect to the context based is carried out  by computing  average short term energy and its spectral centroid coefficients of  the speech signal present in the specified window. The segmented outputs are completely  meaningful  segmentation  for different scenarios with less segmentation error. The second part of the method is speech recognition by extracting less number Mel frequency cepstral coefficients with less  number of codebooks  using vector quantization .In this recognition is completely based on threshold value.This threshold setting is a challenging task however the simple method is used to achieve better recognition rate.The experimental results shows more efficient  and effective segmentation    with high recognition rate for any continuous context based kannada speech signal with different accents for male and female than the existing methods and also used minimal feature dimensions for training data.
Volume: 9
Issue: 6
Page: 4684-4695
Publish at: 2019-12-01

Automatic summarization of Malayalam documents using clause identification method

10.11591/ijece.v9i6.pp4929-4938
Sunitha C , A Jaya , Amal Ganesh
Text summarization is an active research area in the field of natural language processing. Huge amount of information in the internet necessitates the development of automatic summarization systems. There are two types of summarization techniques: Extractive and Abstractive. Extractive summarization selects important sentences from the text and produces summary as it is present in the original document. Abstractive summarization systems will provide a summary of the input text as is generated by human beings. Abstractive summary requires semantic analysis of text. Limited works have been carried out in the area of abstractive summarization in Indian languages especially in Malayalam. Only extractive summarization methods are proposed in Malayalam. In this paper, an abstractive summarization system for Malayalam documents using clause identification method is proposed. As part of this research work, a POS tagger and a morphological analyzer for Malayalam words in cricket domain are also developed. The clauses from input sentences are identified using a modified clause identification algorithm. The clauses are then semantically analyzed using an algorithm to identify semantic triples - subject, object and predicate. The score of each clause is then calculated by using feature extraction and the important clauses which are to be included in the summary are selected based on this score. Finally an algorithm is used to generate the sentences from the semantic triples of the selected clauses which is the abstractive summary of input documents.
Volume: 9
Issue: 6
Page: 4929-4938
Publish at: 2019-12-01

Artificial intelligence in education: integrating serious gaming into the language class classdojo technology for classroom behavioral management

10.11591/ijai.v8.i4.pp382-390
Yassine Benhadj , Mohammed El Messaoudi , Abdelhamid Nfissi
The aim of the study at hand was to examine students' perceptions of game elements used in gamification application. ClassDojo, as a study case, was implemented class-wide in a Moroccan High School EFL classroom. Data was gathered and saved directly through the application. It is qualitative research that opted for structured interviews to collect data. The findings were evaluated in so far as class motivation, participation, cooperation, discipline, attendance, and classroom discourse are concerned. This study has shown a crystal clear improvement in terms of discipline, motivations and classroom participation, suggesting the great need to conduct more research with a view to determine if these areas could be positively or negatively impacted when integrating ClassDojo in classroom management on a large scale. The findings of this study are of much significance to decision makers, curriculum developers, syllabus designers, and teachers in both senior and junior schools in Morocco.
Volume: 8
Issue: 4
Page: 382-390
Publish at: 2019-12-01

Power compensation for vector-based current control of a modular multilevel converter (MMC) based STATCOM

10.11591/ijpeds.v10.i4.pp1781-1796
Abdurrahman Umar Lawan , S. Babani , A. Abdulkarim , G. S. Shehu , Y. Jibril M , I. S. Madugu
This paper studies the suitability of a vector based current control which is mostly employed for its faster response in the reactive current applications of static compnesators (STATCOMs). The current control is mostly achieved using proportional-integral (PI) controllers because of  the advantage of their good tracking and small variations. However, due to the dependency of PI controllers on the modular multilevel converter (MMC) system dynamics, performance variations arise during steady-state STATCOM non-ideal operations. This paper presents an improved MMC based STATCOM control with a d-q compensation algorithm added to the vector based current control. The algorithm is derived to tackle the effects of the dynamics of the MMC and the STATCOM ideal variations without the use of any additional controller. The control is achieved by providing a power compensation in the d,q-axis which injects currents at the input of the PI controllers in order to improve the steady-state performance of the STATCOM control.
Volume: 10
Issue: 4
Page: 1781-1796
Publish at: 2019-12-01

Congestion bottleneck avoid routing in wireless sensor networks

10.11591/ijece.v9i6.pp4804-4814
Sanu Thomas , Thomaskutty Mathew
A new efficient method for detecting congested bottleneck nodes and avoiding them in the route formation in a wireless sensor network is described. Sensor nodes with a higher degree of congestion are excluded while determining the best routing path from a given source to destination in a multi-hop transmission. In a scenario where different communication paths have different maximum congestion levels, selecting that path which has least maximum congestion, is a challenging task. A modified Bellman-Ford algorithm is proposed to solve this problem efficiently. The proposed technique is very much useful for the optimal route selection for vehicles in metropolitan cities that avoids high traffic density junctions. Once the desired destination is specified, the traffic control system can use this algorithm to provide the least congested routes to the intra-city vehicles.
Volume: 9
Issue: 6
Page: 4804-4814
Publish at: 2019-12-01

Performance analysis of direction of arrival algorithms for Smart Antenna

10.11591/ijece.v9i6.pp4873-4881
Btissam Boustani , Abdennaceur Baghdad , Aicha Sahel , Abdelmajid Badri
This paper presents the performance analysis of the direction of arrival estimation algorithms such as Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT), Multiple Signal Classification (MUSIC), Weighted Subspace Fitting (WSF), The Minimum Variance Distortionless Response (MVDR or capon) and beamspace. These algorithms are necessary to overcome the problem of detecting the arrival angles of the received signals in wireless communication. Therefore, these algorithms are evaluated and compared according to several constraints required in smart antenna system parameters, as the number of array elements, number of samples (snapshots), and number of the received signals. The main purpose of this study is to obtain the best estimation of the direction of arrival, which can be perfectly implemented in a smart antenna system. In this context, the ROOT-Weighted Subspace Fitting algorithm provides the most accurate detection of arrival angles in each of the proposed scenarios.
Volume: 9
Issue: 6
Page: 4873-4881
Publish at: 2019-12-01

Power loss reduction by arctic wolf optimization algorithm

10.11591/ijict.v8i3.pp111-116
Kanagasabai Lenin
This paper proposes Arctic Wolf optimization (AWO) algorithm to solve the optimal reactive power problem. Deeds of the Arctic wolf have been imitated to formulate the proposed algorithm. Arctic wolf also identified as the white wolf or polar wolf is a breed of gray wolf inhabitant from Melville Island to Ellesmere Island. It is average size, very smaller when compared to north western wolf, it possess whiter coloration, narrower braincase and big carnassials. Particle swarm optimization, Genetic algorithm has been used to improve the Exploration & Exploitation ability of the algorithm by utilizes flag vector & position, velocity update properties. Proposed Arctic Wolf optimization (AWO) algorithm has been tested in standard IEEE 30 bus test system and simulation results show the projected algorithms reduced the real power loss considerably.
Volume: 8
Issue: 3
Page: 111-116
Publish at: 2019-12-01

Decentralized collaborative TTP free approach for privacy preservation in location based services

10.11591/ijece.v9i6.pp5376-5385
Ajaysinh Devendrasinh Rathod , Saurabh Shah , Vivaksha J. Jariwala
In recent trends, growth of location based services have been increased due to the large usage of cell phones, personal digital assistant and other devices like location based navigation, emergency services, location based social networking, location based advertisement, etc. Users are provided with important information based on location to the service provider that results the compromise with their personal information like user’s identity, location privacy etc. To achieve location privacy of the user, cryptographic technique is one of the best technique which gives assurance. Location based services are classified as Trusted Third Party (TTP) & without Trusted Third Party that uses cryptographic approaches. TTP free is one of the prominent approach in which it uses peer-to-peer model. In this approach, important users mutually connect with each other to form a network to work without the use of any person/server. There are many existing approaches in literature for privacy preserving location based services, but their solutions are at high cost or not supporting scalability.  In this paper, our aim is to propose an approach along with algorithms that will help the location based services (LBS) users to provide location privacy with minimum cost and improve scalability.
Volume: 9
Issue: 6
Page: 5376-5385
Publish at: 2019-12-01

Torque ripple minimization of PMBLDC motor using simple boost inverter

10.11591/ijpeds.v10.i4.pp1714-1723
Krishnakumar Vengadakrishnan , N Madhanakkumar , P Pugazhendiran , C Bharatiraja , V Sriramkumar
This paper proposes the implementation of simple boost circuit incorporated in inverter fed Brushless DC (BLDC) motor drive to boost the performance of torque. BLDC motor becoming subtle because of its performance. But the motor performance is inferior due to the voltage source inverter fed operation of BLDC motor which initiates torque ripple during commutation. Here the usage of Switched Boost Inverter (SBI) which minimizes the storage elements (passive elements), more active element and introduces shoot through mode during commutation as like Z-source inverter.  The analyses of three phase switched boost inverter fed BLDC motor drive have been carried out. The performance of torque almost depends on the stator phase current of the motor. In BLDC motor during commutation interval, one phase loss its exact stator phase current hence it instigate ripple on the torque. The proposed method focuses two intentions to reduce the torque ripple. The first intension is to operate the BLDC motor at 180ᵒ electrical conduction mode, second intension is to introduce the shoot through interval to boost the dc link voltage so as to maintain the stator phase current control which leads to suppress the torque ripple during commutation.  The validation of the proposed SBI based BLDC motor control is demonstrated both by MATLAB/Simulink and Field programmable gate array (FPGA) controller-SPARRTAN III processor. The experimental results of the developed SBI based BLDC motor drive is working over a wide speed range with minimal torque ripple compared to the normal PWM based inverter control.
Volume: 10
Issue: 4
Page: 1714-1723
Publish at: 2019-12-01

Malaysian Sign Language Mobile Learning Application : A recommendation app to communicate with hearing-impaired communities

10.11591/ijece.v9i6.pp5512-5518
Hanayanti Hafit , Chiam Wui Xiang , Munirah Mohd Yusof , Norfaradilla Wahid , Shahreen Kassim
Malaysian Sign Language (MSL) is an important language that is used as the primary communication method for the deaf communities with the others. Currently, the MSL is poorly known by the Malaysians and the existing platform of learning the sign language is inefficient, not to mention the incomplete functionality of the existing mobile learning application in the market. Hence, the purpose of developing this application is aimed to increase the knowledge and recognition of the public towards the MSL and allows them to learn the sign language more effectively. One of the features in this application is sign detection, which could analyze the image captured by phone camera into sign meaning. The application also comprised various categories of the sign for efficient learning and quiz to test user knowledge against their learned sign language. Besides, there is a feedback module for the user to express their opinions and suggestions towards the application to the developer. This application is aimed to help the public to learn MSL efficiently by selecting the category of sign they wish to learn and test themselves by using the quiz module. Besides, the application could also detect the unknown sign by capturing the image and analyze it. The application helped to raise the recognition of MSL among the public and expose the public to the sign language knowledge. It had also become a small help in breaking the barrier of communication between the deaf communities and the public.
Volume: 9
Issue: 6
Page: 5512-5518
Publish at: 2019-12-01

Robust features extraction for general fish classification

10.11591/ijece.v9i6.pp5192-5204
Mutasem K. Alsmadi , Mohammed Tayfour , Raed A. Alkhasawneh , Usama Badawi , Ibrahim Almarashdeh , Firas Haddad
Image recognition process could be plagued by many problems including noise, overlap, distortion, errors in the outcomes of segmentation, and impediment of objects within the image. Based on feature selection and combination theory between major extracted features, this study attempts to establish a system that could recognize fish object within the image utilizing texture, anchor points, and statistical measurements. Then, a generic fish classification is executed with the application of an innovative classification evaluation through a meta-heuristic algorithm known as Memetic Algorithm (Genetic Algorithm with Simulated Annealing) with back-propagation algorithm (MA-B Classifier). Here, images of dangerous and non-dangerous fish are recognized. Images of dangerous fish are further recognized as Predatory or Poison fish family, whereas families of non-dangerous fish are classified into garden and food family.  A total of 24 fish families were used in testing the proposed prototype, whereby each family encompasses different number of species. The process of classification was successfully undertaken by the proposed prototype, whereby 400 distinct fish images were used in the experimental tests. Of these fish images, 250 were used for training phase while 150 were used for testing phase. The back-propagation algorithm and the proposed MA-B Classifier produced a general accuracy recognition rate of 82.25 and 90% respectively.
Volume: 9
Issue: 6
Page: 5192-5204
Publish at: 2019-12-01

A novel region selection approach of SVPWM for a three-level NPC inverter used in electric vehicle

10.11591/ijpeds.v10.i4.pp1705-1713
Debanjan Roy , Sanatan Kumar , Madhu Singh
This paper confers an investigation of a space vector modulation based control strategy of induction motor using a three-level inverter for electric vehicle application. The proposed controller uses a simple v/f control with a novel SVPWM technique. A new method for region selection of SVPWM for a multilevel inverter is implemented for the closed-loop system. Previously the region selection procedure was not considered by most of the researcher in the literature for developing the PWM algorithm. This approach is based on some algebraic equations. The remarkable point here is that it is identical to all the remaining sectors. Hence calculation complexity reduces by making it a simpler implementation. This method can be applied to any number of levels. The potency of the proposed controller is validated through the MATLAB/SIMULINK environment. The performance of the overall system is inspected through transient and steady-state analysis. The neutral point balance of the 3L NPC inverter is established by adopting proper switching sequences.
Volume: 10
Issue: 4
Page: 1705-1713
Publish at: 2019-12-01

An automatic lexicon generation for indonesian news sentiment analysis: a case on governor elections in Indonesia

10.11591/ijeecs.v16.i3.pp1555-1561
Media A Ayu , Sony Surya Wijaya , Teddy Mantoro
Sentiment analysis has been popularly used in analyzing data from the internet.  One of the techniques used is lexicon based sentiment analysis.  Generating lexicon is not an easy process, and lexicon in Bahasa Indonesia is rarely available.  This paper proposes an automatic lexicon generation in Bahasa Indonesia for sentiment analysis purpose.  Experiments were performed using the generated lexicon for doing sentiment analysis on Indonesian political news about the 2018 governor election in three provinces in Indonesia. The conducted experiments show promising results where it can predict the candidate’s rank, the election winner, and the percentage of votes for each candidate with better accuracy than the previous work which used manually generated lexicon.
Volume: 16
Issue: 3
Page: 1555-1561
Publish at: 2019-12-01

Security assessment framework for educational ERP systems

10.11591/ijece.v9i6.pp5570-5585
Hafsa Ashraf , Mamdouh Alenezi , Muhammad Nadeem , Yasir Javid
The educational ERP systems have vulnerabilities at the different layers such as version-specific vulnerabilities, configuration level vulnerabilities and vulnerabilities of the underlying infrastructure. This research has identified security vulnerabilities in an educational ERP system with the help of automated tools; penetration testing tool and public vulnerability repositories (CVE, CCE) at all layers. The identified vulnerabilities are analyzed for any false positives and then clustered with mitigation techniques, available publicly in security vulnerability solution repository like CCE and CWE. These mitigation techniques are mapped over reported vulnerabilities using mapping algorithms. Security vulnerabilities are then prioritized based on the Common Vulnerability Scoring System (CVSS). Finally, open standards-based vulnerability mitigation recommendations are discussed.
Volume: 9
Issue: 6
Page: 5570-5585
Publish at: 2019-12-01
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