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29,922 Article Results

Effects of power electronics devices on the energy quality of an administrative building

10.11591/ijpeds.v10.i4.pp1951-1960
Jorge I. Silva , Vladimir Sousa , Paulo Sarmiento , Julio R. Gómez , Percy R. Viego , Enrique C. Quispe
This paper proposes the analysis of the effects of power electronics devices on the energy quality of an administrative building. For the study a method is applied that allows the analysis of the main problems of energy quality such as voltage variation, harmonics, flicker, and the effect of harmonics on the power factor. As a case study, the offices of an administrative building were used, where the measurements of the main energy quality parameters were carried out for a week. The results showed the presence of current harmonics and flicker problems due to non-linear loads such as the frequency inverters that drive the motors of the elevators and escalators, as well as the LED lamps. These problems cause systematic damage to the lighting system, UPS and improper correction of the power factor. The study also demonstrates the need to deepen the effects of energy quality not only in the industrial and residential sectors. In addition, attention must be paid to the tertiary sector, specifically to administrative buildings.
Volume: 10
Issue: 4
Page: 1951-1960
Publish at: 2019-12-01

Modified JSEG algorithm for reducing over-segmentation problems in underwater coral reef images

10.11591/ijece.v9i6.pp5244-5252
Mohammad Sameer Aloun , Muhammad Suzuri Hitam , Wan NuralJawahir Hj Wan Yussof , Abdul Aziz K Abdul Hamid , Zainuddin Bachok
The original JSEG algorithm has proved to be very useful and robust in variety of image segmentation case studies.However, when it is applied into the underwater coral reef images, the original JSEG algorithm produces over-segementation problem, thus making this algorithm futile in such a situation. In this paper, an approach to reduce the over-segmentation problem occurred in the underwater coral reef image segmentation is presented. The approach works by replacing the color histogram computation in region merge stage of the original JSEG algorithm with the new computation of color and texture features in the similarity measurement. Based on the perceptual observation results of the test images, the proposed modified JSEG algorithm could automatically segment the regions better than the original JSEG algorithm.
Volume: 9
Issue: 6
Page: 5244-5252
Publish at: 2019-12-01

Convolutional neural network-based model for web-based text classification

10.11591/ijece.v9i6.pp5185-5191
Satyabrata Aich , Sabyasachi Chakraborty , Hee-Cheol Kim
There is an increasing amount of text data available on the web with multiple topical granularities; this necessitates proper categorization/classification of text to facilitate obtaining useful information as per the needs of users. Some traditional approaches such as bag-of-words and bag-of-ngrams models provide good results for text classification. However, texts available on the web in the current state contain high event-related granularity on different topics at different levels, which may adversely affect the accuracy of traditional approaches. With the invention of deep learning models, which already have the capability of providing good accuracy in the field of image processing and speech recognition, the problems inherent in the traditional text classification model can be overcome. Currently, there are several deep learning models such as a convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long-short term memory that are widely used for various text-related tasks; however, among them, the CNN model is popular because it is simple to use and has high accuracy for text classification. In this study, classification of random texts on the web into categories is attempted using a CNN-based model by changing the hyperparameters and sequence of text vectors. We attempt to tune every hyperparameter that is unique for the classification task along with the sequences of word vectors to obtain the desired accuracy; the accuracy is found to be in the range of 85–92%. This model can be considered as a reliable model and applied to solve real-world problem or extract useful information for various text mining applications.
Volume: 9
Issue: 6
Page: 5185-5191
Publish at: 2019-12-01

Internet of things based industrial environment monitoring and control: A design approach

10.11591/ijece.v9i6.pp4657-4667
Alaa Adulhady Jaber , Firas Khalil Ibrahim Al-Mousawi , Hayder Sabeeh Jasem
In this research an internet of things (IoT) system is designed for the purpose of industrial environment monitoring and control. The system is mainly composed of control and sensor units. Control unit has the responsibility of managing the received data form the sensor unit and then executing the developed control algorithm based on the measured parameters.  NodeMCU development kit is used as the core of the control unit. The senor unit contains gas and temperature sensors utilized for measuring the temperature and concentration of toxic gases in the monitored space. A buzzer has also been embedded in the sensor unit for alerting the occupants acoustically in the danger situations. If the monitored temperature gets higher or lower than the set levels, the air conditioning system will be automatically operated. Similarly, the fan (ventilation) system will be operated if the level of toxic gases becomes high. A mobile application, based on Blynk platform, is then developed to enable the wireless monitoring and control of the environment by the in charge people. In addition to the automatic and wireless control the manual control capability is considered in the developed IoT system.
Volume: 9
Issue: 6
Page: 4657-4667
Publish at: 2019-12-01

Secure data aggregation in IoT using Efficient-CSDA

10.11591/ijece.v9i6.pp4889-4897
Swathi S , Yogish H K
In recent days, IoT has been widely accepted and WSN (Wireless Sensor network) is being used for variety of the applications such as transportation, medical, environmental, military, it moreover the main aim to deploy the WSN is to collect the data about the given set of phenomena. The common task of WSN is to sense the data and send over the network. Moreover, due to the various purpose such as statistical analysis, the data aggregation is required.  However, the when the dynamic network topology is considered, it is considered to be the very difficult task to provide the secure and efficient data aggregation. The main issue here is to ensure the security and accuracy of the data aggregation. Hence, in this research we have proposed an algorithm named as E-SDA (Efficient Secure Data Aggregation) in order to provide the secure data. In this, the algorithm provides the flexibility to detect the dishonest honest through neighbor monitoring. Later, extensive simulation has been done in order to prove the convergence of our algorithm.
Volume: 9
Issue: 6
Page: 4889-4897
Publish at: 2019-12-01

Smart monitoring information system based on RF 433 Mhz (SMIS)

10.11591/ijece.v9i6.pp5143-5149
Ouldzira Hicham , Ahmed Mouhsen , Hajar Lagraini , Abdelmoumen Tabyaoui , Mostafa Chhiba
Many research works are devoted to the design of remote control systems of objects. Remote monitoring is among the technologies of data acquisition on a remote object and its characteristics without physical contact with it. These data can be collected by acoustic waves, the distribution of forces and electromagnetic energy to process them to locate the object and its characteristics. This paper presents a smart monitoring information system based on RF 433MHz, Arduinonano and arduinouno named SMIS.
Volume: 9
Issue: 6
Page: 5143-5149
Publish at: 2019-12-01

Full On-chip low dropout voltage regulator with an enhanced transient response for low power systems

10.11591/ijece.v9i6.pp4637-4648
Hatim Ameziane , Kamal Zared , Hicham Akhamal , Hassan Qjidaa
A full on chip low Dropout Voltage Regulator (LDO) with fast transient response and small capacitor compensation circuit is proposed. The novel technique is implemented to detect the variation voltage at the output of LDO and enable the proposed fast detector amplifier (FDA) to improve load transient response of 50mA load step. The large external capacitor used in Conventional LDO Regulators is removed allowing for greater power system integration for system-on-chip (SoC) applications. The 1.6-V Full On-Chip LDO voltage regulator with a power supply of 1.8 V was designed and simulated in the 0.18µm CMOS technology, consuming only 14 µA of ground current with a fast settling-time LNR(Line Regulation) and LOR(Load regulation) of 928ns and 883ns respectively while the rise and fall times in LNR and LOR is 500ns.
Volume: 9
Issue: 6
Page: 4637-4648
Publish at: 2019-12-01

Neurodiversity awareness: Is Malaysia there yet?

10.11591/ijere.v8i4.20307
Aida A. Rahman , Woollard J.
Scientific research on dyslexia has taken place for the past 50 years during which time arguments on brain deficiency have created tensions between education and cognitive neuroscience researchers. However, clinical research on dyslexia through functional magnetic resonance imaging (fMRI) has finally revealed that a dyslexic’s brain works differently. The findings have finally brought in a new synergy between research in education and cognitive neuroscience and empirically supported the neurodiversity movement. Recently, neurodiversity has been used as a framework for specific learning difficulties (SpLD) justice and to support dyslexia in inclusive education. This qualitative study was conducted to understand the Malaysian mainstream primary school teachers’ beliefs about SpLD and the current framework for Malaysian literacy support programme. The data collection is through social media focus group discussion and individual instant messaging interviews with forty-one teachers. The findings reveal that the current programme is built on theories of remediation and that the teachers have exhibited good levels of understanding of remediation, but not yet understand neurodiversity. It makes recommendations with regard to teacher professional development.
Volume: 8
Issue: 4
Page: 676-685
Publish at: 2019-12-01

Torque improvement of PM motor with semi-cycle stator design using 2D-finite element analysis

10.11591/ijece.v9i6.pp5060-5067
Kwang T. C. , Mohd Luqman Mohd Jamil , Auzani Jidin
This paper presents sizing approaches to improve output torque performance in PM motor when partial stator body is removed. As the output torque performance is directly proportional to the electric loading, Q, modification on stator geometry affects the output torque performance and special procedures have to be taken to restore the desired output torque capability. Influences of split ratio, tooth body width, airgap and magnet thickness of  magnet in PM motor with asymmetry stator design are carried out and the performance verification are referred to the back-emf, average output torque, torque ripple as well as cogging torque. From the investigation using 2D-Finite Element Analysis, optimum size of tooth body width and optimum number of coil turns result better output torque while other sizing approaches result no significant change as quick saturation took place.
Volume: 9
Issue: 6
Page: 5060-5067
Publish at: 2019-12-01

Optimization of transmission signal by artificial intelligent

10.11591/ijaas.v8.i4.pp290-292
Hassan Farahan Rashag , Mohammed H. Ali
In this method, radial basis function network RBFNN is an artificial intelligent which is used to identify and classify the communication system performance.  RBFNN is one type of neural network which has activation functions. It consists of three layer input layer, hidden layer and output linear combination. One of the main problems of communication system is that it causes slow response for sending signal via the transmission devices. Therefore, the artificial intelligent by RBFNN is used to optimize the transmission signal. The input signal is trained and testing by neurons with weight and this lead to provide linear output. The simulation results have the optimization specifics over the traditional communication transmission devices.
Volume: 8
Issue: 4
Page: 290-292
Publish at: 2019-12-01

A multilevel UPQC for voltage and current quality improvement in distribution system

10.11591/ijpeds.v10.i4.pp1932-1943
Varampati Veera Nagi Reddy , D.V Ashok Kumar , Venkata Reddy Kota
Unified Power Quality Conditioner (UPQC) is substantial power conditioner in power system to filter the power system parameters with an objective to improve the quality of power delivered to the customers/utility point. This paper presents a multi-level UPQC to enhance the quality in power distribution system. The series and shunt controllers of UPQC gives out five leveled output which is further filtered to feed compensating signals to improve voltage and current profiles in power distribution system. Series and shunt controllers of UPQC are structured with cascaded H-Bridge (CHB) topology to deliver compensating signals. Two separate control strategies are employed to regulate the power switches of 5-level CHB series and shunt controllers of UPQC. Sag and swell in source voltage and harmonics in source current are strained with UPQC. The proposed system is developed and results are obtained using MATLAB/SIMULINK software.
Volume: 10
Issue: 4
Page: 1932-1943
Publish at: 2019-12-01

An implementation of optimal control methods (LQI, LQG, LTR) for geostationary satellite attitude control

10.11591/ijece.v9i6.pp4728-4737
Farid Djaballah , M. A. Si Mohammed , Nabil Boughanmi
This paper investigates a new strategy for geostationary satellite attitude control using Linear Quadratic Gaussian (LQG), Loop Transfer Recovery (LTR), and Linear Quadratic Integral (LQI) control techniques. The sub-system satellite attitude determination and control of a geostationary satellite in the presence of external disturbances, the dynamic model of sub-satellite motion is firstly established by Euler equations. During the flight mission at 35000 Km attitude, the stability characteristics of attitude motion are analyzed with a large margin error of pointing, then a height performance-order LQI, LQG and LTR attitude controller are proposed to achieve stable control of the sub-satellite attitude, which dynamic model is linearized by using feedback linearization method. Finally, validity of the LTR order controller and the advantages over an integer order controller are examined by numerical simulation. Comparing with the corresponding integer order controller (LQI, LQG), numerical simulation results indicate that the proposed sub-satellite attitude controller based on LTR order can not only stabilize the sub-satellite attitude, but also respond faster with smaller overshoot. 
Volume: 9
Issue: 6
Page: 4728-4737
Publish at: 2019-12-01

Analysis of solar energy technology in leading countries

10.11591/ijpeds.v10.i4.pp1995-2004
Kannan Kaliappan , M Sankar , B Karthikeyan , Budamkayala Vineeth , V. Chetan Raju
In the present generation energy plays a vital role in our world and for human life it´s very important factor. There is a methodical meeting taking place regarding the conservation of energy and every time there is a review in the agenda. Energy demand and supply were endeavored by these countries. To rectify these problems, there should be more research in the generation of energy with the greater efficiency and try to use energy in more efficient manner. Solar energy remains as the most prominent source of energy as it is cost effective and environmentally friendly. Reviews convey that solar energy systems will play a major role in the power generations. As per present scenario there is a great importance to the solar energy using photovoltaic systems. Photovoltaic systems exhibit an important role for solar energy production.
Volume: 10
Issue: 4
Page: 1995-2004
Publish at: 2019-12-01

The exploitation of western and southern deserts in Iraq for the production of solar energy

10.11591/ijece.v9i6.pp4617-4624
Ahmed Zkear Abass , D. A. Pavlyuchenko
We have, an overview is presented of the potential future demands and possible supply of solar energy to Iraq. Solar energy, which is clean, unlimited, and environmentally friendly, is presented as a renewable energy resource. Many problems such as CO2 emissions, industry, human activities, and electricity distribution grids have attracted much attention because of the current state of crude oil production and its prices. Moreover, estimations of solar radiation levels and of the efficiencies of photovoltaics (PVs), concentrated solar power (CSP), and solar chimney towers, have all been investigated. Those systems that combine various sources of energy are called hybrids and they have received much attention in recent decades. The basic features of solar radiation in Iraq are outlined, and the selection of those sites with potential for development of solar plants is based on the local largest solar radiation. Moreover, longitudinal and latitudinal orientation, wind, solar intensity, dust, temperature, rain, humidity, and pollution factors are all considered in the calculation of PV/CSP efficiencies. We know there is an abundance of fossil fuels in Iraq, energy shortages began in 1991 because of the perturbation caused by the full ruin of the country. The obvious renewable energy resource available in Iraq is the solar energy, and its exploitation would provide a means to reduce CO2 emissions from the burning of fossil fuels and to achieve self-sufficiency of electric energy and export the rest to neighboring countries. Solar energy is becoming increasingly important because of the climatic change in the form of global warming.
Volume: 9
Issue: 6
Page: 4617-4624
Publish at: 2019-12-01

A review on cloud based knowledge management in higher education institutions

10.11591/ijece.v9i6.pp5420-5427
Ahmad Shukri Mohd Noor , muhammad younas , Muhammad Arshad
Knowledge Management (KM) is widely discussed by researcher and attracts many enterprisers to extract, dispense and use information in a systematic way under Knowledge Management System (KMS). New technology adoption within the knowledge management system is one of the core issue, identified by researcher and underlined as future research agenda. Cloud computing becomes the most adoptable choice for enterprisers to reduce infrastructure and maintenance cost by shifting business on the cloud. Higher Education Institutions (HEIs) are more enthusiastic about knowledge management due to its primary goal of knowledge creation and sharing. Cloud based knowledge management attract higher education institutions by changing the educational method and objectives due to innovative trends in technology. This exploratory research based on literature review for cloud-based knowledge management, targeting higher education institutions. This study highlights the benefits and challenges associated with cloud-based knowledge management system and its impact on knowledge.
Volume: 9
Issue: 6
Page: 5420-5427
Publish at: 2019-12-01
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