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29,922 Article Results

Enhancement of power quality using microprocessor based shunt active power filter for unbalanced load

10.11591/ijece.v10i4.pp3393-3402
Madhu B. R. , Dinesh M. N. , Tsewang Thinlas , Deril Menezes
Power quality is the most significant factor of power sector. The end user equipment such as induction motor, inverters, rectifiers inject harmonics into power system that influences the quality of power delivered. The presence of harmonics forces the use of instantaneous reactive power theory to calculate instantaneous power that helps in finding the compensating currents to eliminate harmonics. The control action required by active filter is accomplished by STM32F303RET6 microcontroller. Single phase induction motor is used as a dynamic nonlinear load in one of the three phases and resistive loads on the other two phases. TRIAC based RC triggering circuit was used to control the single phase induction motor. This paper presents the simulation and hardware implementation of shunt active power filter for 3 phase 4 wire unbalanced system. The hardware results show that THD in the source side has been reduced from 50.7% to 9.6% by implementing the SAPF.
Volume: 10
Issue: 4
Page: 3393-3402
Publish at: 2020-08-01

The role of entrepreneurial intention in predicting vocational high school students’ employability

10.11591/ijere.v9i3.20580
Fatwa Tentama , Sabrina Yusantri
One of the factors that contribute to the level of employability is entrepreneurial intention. This study discusses the role of entrepreneurial intentions on students' employability. The population in this study was all students of grade XII of Vocational High School Koperasi Yogyakarta, Indonesia, consisting of 141 students. The sample in this study was 86 students. The sample selection was done by randomizing using a cluster random sampling technique. Methods of data collection used in this study are scales, employability scale, and entrepreneurial intentions scale. Analysis of the data used in this study is the product-moment analysis technique. The results of data analysis showed the correlation between entrepreneurial intentions and employability where r = 0.339 with p = 0.001 (p < 0.01), which showed a very significant positive correlation between the two variables at the research site. It means that the level of employability can be predicted based on entrepreneurial intention. The entrepreneurial intention contributed 11.5% to employability, and the remaining 88.5% can be influenced by other variables.
Volume: 9
Issue: 3
Page: 558-563
Publish at: 2020-08-01

QR based management system for plants shopping center

10.11591/ijeecs.v19.i2.pp931-939
Saja Nasir , Salih Al-Qaraawi , Muayad Sadik Croock
It is well known that the development in the life style requires a robust enhancement in the provided services based on technologies. This paper suggests a mobile application under android environment that manages the information and sale systems regarding plants shop. The proposed application uses the Quick Response (QR) codes as identification of an object (plant). The proposed system includes two parts: server and client. The server side contains the most software application, such as database, while the client (mobile) side runs the website based interface between the application and users. QR tag is attached to each plant on the farm to be read by visitor’s mobile camera and sent to the server side using the designed web application. The received QR code is processed by the server and preparing the response with full information of a plant to be sent back to the mobile for user viewing. In addition, the proposed system offers a sale service to the user after performing registration. The proposed system is tested over different case studies and the obtained results show the efficiency of its performance.
Volume: 19
Issue: 2
Page: 931-939
Publish at: 2020-08-01

Texture classification of fabric defects using machine learning

10.11591/ijece.v10i4.pp4390-4399
Yassine Ben Salem , Mohamed Naceur Abdelkrim
In this paper, a novel algorithm for automatic fabric defect classification was proposed, based on the combination of a texture analysis method and a support vector machine SVM. Three texture methods were used and compared, GLCM, LBP, and LPQ. They were combined with SVM’s classifier. The system has been tested using TILDA database. A comparative study of the performance and the running time of the three methods was carried out. The obtained results are interesting and show that LBP is the best method for recognition and classification and it proves that the SVM is a suitable classifier for such problems. We demonstrate that some defects are easier to classify than others.
Volume: 10
Issue: 4
Page: 4390-4399
Publish at: 2020-08-01

Text hiding in text using invisible character

10.11591/ijece.v10i4.pp3550-3557
Nada Abdul Aziz Mustafa
Steganography can be defined as the art and science of hiding information in the data that could be read by computer. This science cannot recognize stego-cover and the original one whether by eye or by computer when seeing the statistical samples. This paper presents a new method to hide text in text characters. The systematic method uses the structure of invisible character to hide and extract secret texts. The creation of secret message comprises four main stages such using the letter from the original message, selecting the suitable cover text, dividing the cover text into blocks, hiding the secret text using the invisible character and comparing the cover-text and stego-object. This study uses an invisible character (white space) position of in the cover text that used to hide the the secrete sender masseges. The experiments results show that the suggested method presents highly secret due to use the multi-level of complexity to avoid the attackers.
Volume: 10
Issue: 4
Page: 3550-3557
Publish at: 2020-08-01

Optimized placement of multiple FACTS devices using PSO and CSA algorithms

10.11591/ijece.v10i4.pp3350-3357
Basanagouda Patil , S. B. Karajgi
This paper is an attempt to develop a multi-facts device placementin deregulated power system using optimization algorithms. The deregulated power system is the recent need in the power distribution as it has many independent sellers and buyers of electricity. The problem of deregulation is the quality of the power distribution as many sellers are involved. The placement of FACTS devices provides the solution for the above problem. There are researches available for multiple FACTS devices. The optimization algorithms like Particle Swarm Optimization (PSO) and Cuckoo Search Algorithm (CSA) are implemented to place the multiple FACTS devices in a power system. MATLAB based implementation is carried out for applying Optimal Power Flow (OPF) with variation in the bus power and the line reactance parameters. The cost function is used as the objective function. The cost reduction of FACTS as well as generation by placement of different compensators like, Static Var Compensator (SVC), Thyristor Controlled Series Compensator (TCSC) and Unified Power Flow Controller (UPFC). The cost calculation is done on the 3-seller scenario. The IEEE 14 bus is taken here as 3-seller system.
Volume: 10
Issue: 4
Page: 3350-3357
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 it’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

Best candidate routing algorithms integrated with minimum processing time and low blocking probability for modern parallel computing systems

10.11591/ijeecs.v19.i2.pp847-854
Aadel M. Alatwi , Ahmed Nabih Zaki Rashed , Ahmed M. El-Eraki , Iraj Sadegh Amiri
This study has clarified the best candidate routing algorithms integrated with minimum processing times and low blocking probabilities for modern parallel computing systems. Different methods were employed, such as the fast window method (FWM), fast bitwise window method (FBWM), and fast improved window method (FIWM), to upgrade the processing time and reduce the network delay time. In addition, different algorithms were studied such as the fast window ascending, the fast window descending, the fast window sequential algorithm, and the fast window sequential down algorithms; these were studied to show the numerical results of the networks’ blocking probabilities, processing times, and delay times.
Volume: 19
Issue: 2
Page: 847-854
Publish at: 2020-08-01

Design of smart wireless changeover for continuous electric current feeding from power sources of variable capacities

10.11591/ijece.v10i4.pp3460-3467
Haider A. H. Alobaidy , Hikmat N. Abdullah , Tariq M. Salman
Electric power has become a vital element for life today. Despite this importance, electric power consumers in Iraq suffer from the problem of noncontinuity and daily electric power supply interruption. This problem led to the use of various sources of electric power as an alternative to compensate for the shortage of electric power provided by the Iraqi national grid. In this work, a smart wireless changeover device is designed using wireless sensor networks technology aiming to solve problem caused by the multiplicity of power sources received at home and governmental buildings in Iraq by controlling operation of some electrical devices (which consume high current) in the home or workplace automatically when changing source of electricity from one to another. This solution will help to ensure the continuity of electric current feeding from power sources of variable capacities, also, to rationalize power consumption by assigning an operation priority to electric devices. Furthermore, a statistical measurement as a case study was performed in a building with a total power consumption of 160.8 KW/h. The result showed that the device functions effectively and it is capable of achieving an average saving in power of about 50% to 86% depending on the applied priorities and case study scenario.
Volume: 10
Issue: 4
Page: 3460-3467
Publish at: 2020-08-01

Electromagnetic pollution maps as a resource for assessing the risk of emissions from mobile communications antennas

10.11591/ijece.v10i4.pp4244-4251
Yeison Alberto Garces-Gomez , Vladimir Henao-Cespedes , Luis Fernando Diaz-Cadavid
Electromagnetic pollution has taken on importance in recent decades, as interest is growing in knowing how the proliferation of mobile communication devices can affect the environment and generate health problems in the population. In this document, a systematic review of the methodologies for measuring electromagnetic radiation is carried out with a view to generating pollution profiles. It also develops a novel methodology for measuring electromagnetic pollution (EMP) in urban areas, and is validated with a case study using a map of EMP in the city of Manizales (Colombia), determining the spatial distribution of radiation levels. In order to generate the map, EMP measurements were carried out in the bands of local mobile telephone operators, in addition to the LPWAN (low power wide area network) LoRaWAN and Sigfox networks, Wi-Fi, and those related to IoT technologies.
Volume: 10
Issue: 4
Page: 4244-4251
Publish at: 2020-08-01

Local feature extraction based facial emotion recognition: a survey

10.11591/ijece.v10i4.pp4080-4092
Khadija Slimani , Mohamed Kas , Youssef El Merabet , Yassine Ruichek , Rochdi Messoussi
Notwithstanding the recent technological advancement, the identification of facial and emotional expressions is still one of the greatest challenges scientists have ever faced. Generally, the human face is identified as a composition made up of textures arranged in micro-patterns. Currently, there has been a tremendous increase in the use of local binary pattern based texture algorithms which have invariably been identified to being essential in the completion of a variety of tasks and in the extraction of essential attributes from an image. Over the years, lots of LBP variants have been literally reviewed. However, what is left is a thorough and comprehensive analysis of their independent performance. This research work aims at filling this gap by performing a large-scale performance evaluation of 46 recent state-of-the-art LBP variants for facial expression recognition. Extensive experimental results on the well-known challenging and benchmark KDEF, JAFFE, CK and MUG databases taken under different facial expression conditions, indicate that a number of evaluated state-of-the-art LBP-like methods achieve promising results, which are better or competitive than several recent state-of-the-art facial recognition systems. Recognition rates of 100%, 98.57%, 95.92% and 100% have been reached for CK, JAFFE, KDEF and MUG databases, respectively.
Volume: 10
Issue: 4
Page: 4080-4092
Publish at: 2020-08-01

Identity-based threshold group signature scheme based on multiple hard number theoretic problems

10.11591/ijece.v10i4.pp3695-3701
Nedal Tahat , Ashraf A. Tahat
We introduce in this paper a new identity-based threshold signature (IBTHS) technique, which is based on a pair of intractable problems, residuosity and discrete logarithm. This technique relies on two difficult problems and offers an improved level of security relative to an individual hard problem. The majority of the denoted IBTHS techniques are established on an individual difficult problem. Despite the fact that these methods are secure, however, a prospective solution of this sole problem by an adversary will enable him/her to recover the entire private data together with secret keys and configuration values of the associated scheme. Our technique is immune to the four most familiar attack types in relation to the signature schemes. Enhanced performance of our proposed technique is verified in terms of minimum cost of computations required by both of the signing algorithm and the verifying algorithm in addition to immunity to attacks.
Volume: 10
Issue: 4
Page: 3695-3701
Publish at: 2020-08-01

Loss allocation in distribution networks with distributed generators undergoing network reconfiguration

10.11591/ijece.v10i4.pp3375-3383
Ambika Prasad Hota , Sivkumar Mishra
In this paper, a branch exchange based heuristic network reconfiguration method is proposed for obtaining an optimal network in a deregulated power system. A unique bus identification scheme is employed which makes the load flow and loss calculation faster due to its reduced search time under varying network topological environment. The proposed power loss allocation technique eliminates the effect of cross-term analytically from the loss formulation without any assumptions and approximations. The effectiveness of the proposed reconfiguration and loss allocation methods are investigated by comparing the results obtained by the present approach with that of the existing “Quadratic method” using a 33-bus radial distribution system with/without DGs.
Volume: 10
Issue: 4
Page: 3375-3383
Publish at: 2020-08-01

Formalization of SOA concepts with mathematical foundation

10.11591/ijece.v10i4.pp3883-3888
Asha H. V. , Shantharam Nayak , Annamma Abraham
With the development of the IT industry, agility and dynamicity are the two expected characteristics from any business enterprise. Service oriented architecture (SOA) is emerging as a promising approach aiming to address the current trends/needs of enterprise business applications. The current work aims at giving an overview of the conceptual model of SOA based on set theory approach. Also, it posits mathematical definitions for service, logical service, environment service and application definition with the help of general systems theory and mathematical foundation. With the help of mathematical model, the definition and functionality of services enhances SOA principles which can be used efficiently in integrating heterogeneous components.
Volume: 10
Issue: 4
Page: 3883-3888
Publish at: 2020-08-01

An empirical correlation of ambient temperature impact on PV module considering natural convection

10.11591/ijeecs.v19.i2.pp627-634
Kamil Jadu Ali , Ahmed Hasan Mohammad , Ghanim Thiab Hasan
In this paper, the effect of the ambient temperature on the PV modules for different angles of inclinations and different intensities of the solar radiation on the surface of the PV module is considered by using empirical correlations for natural convection. An analytical model based on the energy balance equilibrium between the PV module and the environment conditions has been used. Also an expression for calculating the electric power of silicon PV modules in a function of the ambient temperature, the intensity of the solar radiation, the incident angle of the solar radiation to the surface of the PV module and the efficiency of the PV modules at STC conditions have been used. By comparing the obtained both results, it can be seen that the largest deviation between the power values obtained by the analytical model and expression is about (5 %). The results obtained indicates that in the case of a small number of PV modules corresponding to the required number for an average household, it is more economical to invest additional resources in increasing the PV module's surface area than in case of the PV module with sun tracking system. 
Volume: 19
Issue: 2
Page: 627-634
Publish at: 2020-08-01
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