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Crops diseases detection and solution system

10.11591/ijece.v9i3.pp2112-2120
Mohammad Jahangir Alam , Md. Abdul Awal , Md. Nurul Mustafa
The technology based modern agriculture industries are today’s requirement in every part of agriculture in Bangladesh. In this technology, the disease of plants is precisely controlled. Due to the variable atmospheric circumstances these conditions sometimes the farmer doesn’t know what type of disease on the plant and which type of medicine provide them to avoid diseases. This research developed for crops diseases detection and to provide solutions by using image processing techniques. We have used Android Studio to develop the system. The crops diseases detection and solution system is compared the image of affected crops with database of CDDASS (Crops Diseases Detection and Solution system). If CDDASS detect any disease symptom, then provide suggestion so that farmers can take proper decision to provide medicine to the affected crops. The application has developed with user friendly features so that farmers can use it easily.
Volume: 9
Issue: 3
Page: 2112-2120
Publish at: 2019-06-01

Bulk binding approach for PMIPv6 protocol to reduce handoff latency in IoT

10.11591/ijece.v9i3.pp1894-1901
Adnan J. Jabir
Mobility management protocols are very essential in the new research area of Internet of Things (IoT) as the static attributes of nodes are no longer dominant in the current environment. Proxy MIPv6 (PMIPv6) protocol is a network-based mobility management protocol, where the mobility process is relied on the network entities, named, Mobile Access Gateways (MAGs) and Local Mobility Anchor (LMA). PMIPv6 is considered as the most suitable mobility protocol for WSN as it relieves the sensor nodes from participating in the mobility signaling. However, in PMIPv6, a separate signaling is required for each mobile node (MN) registration, which may increase the network signaling overhead and lead to increase the total handoff latency. The bulk binding approaches were used to enhance the mobility signaling for MNs which are moving together from one MAG to another by exchanging a single bulk binding update message. However, in some cases there might be several MNs move at the same time but among different MAGs. In this paper, a bulk registration scheme based on the clustered sensor PMIPv6 architecture is proposed to reduce the mobility signaling cost by creating a single bulk message for all MNs attached to the cluster. Our mathematical results show that the proposed bulk scheme enhances the PMIPv6 performance by reducing the total handoff latency.
Volume: 9
Issue: 3
Page: 1894-1901
Publish at: 2019-06-01

Demand-driven Gaussian window optimization for executing preferred population of jobs in cloud clusters

10.11591/ijece.v9i3.pp1637-1644
Vaidehi M , T. R. Gopalakrishnan
Scheduling is one of the essential enabling technique for Cloud computing which facilitates efficient resource utilization among the jobs scheduled for processing. However, it experiences performance overheads due to the inappropriate provisioning of resources to requesting jobs. It is very much essential that the performance of Cloud is accomplished through intelligent scheduling and allocation of resources. In this paper, we propose the application of Gaussian window where jobs of heterogeneous in nature are scheduled in the round-robin fashion on different Cloud clusters. The clusters are heterogeneous in nature having datacenters with varying sever capacity. Performance evaluation results show that the proposed algorithm has enhanced the QoS of the computing model. Allocation of Jobs to specific Clusters has improved the system throughput and has reduced the latency.
Volume: 9
Issue: 3
Page: 1637-1644
Publish at: 2019-06-01

Improve performance of the digital sinusoidal generator in FPGA by memory usage optimization

10.11591/ijece.v9i3.pp1742-1749
Aiman Zakwan Jidin , Irna Nadira Mahzan , A. Shamsul Rahimi A. Subki , Wan Haszerila Wan Hassan
This paper presented the improvement in the performance of the digital sinusoidal signal generator, which was implemented in FPGA, by optimizing the usage of the available memory onboard. The sine wave was generated by using a Lookup Table method, where its pre-calculated values were stored in the onboard memory, and its frequency can be adjustable by changing the incremental step value of the memory address. In this proposed research, the memory stores only 25000 samples of the first quarter from a period of a sine wave and thus, the output signal accuracy was increased and the output frequency range was expanded, compared to the previous research. The proposed design was successfully developed and implemented in ALTERA Cyclone III DE0 FPGA Development Board, and its functionality was validated via functional simulation in Modelsim and also hardware experimental results observation in SignalTap II.
Volume: 9
Issue: 3
Page: 1742-1749
Publish at: 2019-06-01

Solving economic dispatch and unit commitment problem in smart grid system using eagle strategy based crow search algorithm

10.11591/ijeecs.v14.i3.pp1087-1096
Rachid HABACHI , Achraf Touil , Abdellah Boulal , Abdelkabir Charkaoui , Abdelwahed Echchatbi
The economic dispatch problem of power plays a very important role in the exploitation of electro-energy systems to judiciously distribute power generated by all plants. The Unit commitment problem (UCP) is mainly finding the minimum cost schedule to a set of generators by turning each one either on or off over a given time horizon to meet the demand load and satisfy different operational constraints. This research article integrates the crow search algorithm as a local optimizer of Eagle strategy to solve economic dispatch and unit commitment problem in smart grid system.
Volume: 14
Issue: 3
Page: 1087-1096
Publish at: 2019-06-01

The competencies of principals in ensuring sustainable education: Teachers' views

10.11591/ijere.v8i2.18273
Fatma Köybaşı Şemin
This study aimed to reveal the opinions of teachers about the competencies of school administrators in order to ensure the sustainability of education in schools. It was a pneumology study designed with qualitative research method. The study group consists of fifteen teachers from schools located in five different educational zones across the center of Sivas, a city in Central Turkey. Study data were analyzed with content analysis to determine the factors that provide educational sustainability in schools. According to the results; solidarity and structured work characteristics among school administrators to fulfill the objectives of the school affect the adequacy of education in a positive way; while institutionalism and limiting of the capacity have an opposite effect. In relation to capacity building for taking the school culture to future, school administrators have a high opinion of opening up to the neighborhood besides school culture supply and demand. Lastly, for carrying the school into the future, teachers expect school leaders to exhibit behaviors with emphasis on specific themes as ethics, motivation, and awareness.
Volume: 8
Issue: 2
Page: 201-212
Publish at: 2019-06-01

Information system to enhance medical services quality in Indonesia

10.11591/ijece.v9i3.pp2049-2056
Susana Limanto , Andre Andre
The consequence of disproportionate distribution and placement of Doctor in Indonesia is affecting people who live in rural area. Patient have to travel to city to receive medical treatment and must encounter another different problem such as: patients often have to wait a long time in the doctor's office even sometimes do not get the service because of holiday or rejected because the queue is full. Medical record in some cases may lost due in Indonesia mostly medical record recorded manually (paper based). Therefore doctor treatment is not optimal because doctor can no longer inspect patient illness history and any treatment that have been conducted before. This research proposes a new concept to help people who live in rural area to get better medical treatment. People could register and monitor doctor service queue via smart phone. System expanded with medical record management facilities to improve service quality of patient. Research object was doctor service in Sulawesi, Indonesia. This research indicates system could increase time efficiency, energy, and cost efficiency for patient and also the doctor. Additionally current system will be optimal if supported with stable internet network.
Volume: 9
Issue: 3
Page: 2049-2056
Publish at: 2019-06-01

Driving cycle development for Kuala Terengganu city using k-means method

10.11591/ijece.v9i3.pp1780-1787
I. N. Anida , A. R. Salisa
Driving cycle plays a vital role in the production and evaluating the performance of the vehicle. Driving cycle is a representative speed-time profile of driving behavior of specific region or city. Many countries has developed their own driving cycle such as United State of America, United Kingdom, India, China, Ireland, Slovenia, Singapore, and many more. The objectives of this paper are to characterize and develop driving cycle of Kuala Terengganu city at 8.00 a.m. along five different routes using k-means method, to analyze fuel rate and emissions using the driving cycle developed and to compare the fuel rate and emissions with conventional engine vehicles, parallel plug-in hybrid electric vehicle, series plug-in hybrid electric vehicle and single split-mode plug-in hybrid electric vehicle. The methodology involves three major steps which are route selection, data collection using on-road measurement method and driving cycle development using k-means method. Matrix Laboratory software (MATLAB) has been used as the computer program platform in order to produce the best driving cycle and Vehicle System Simulation Tool Development (AUTONOMIE) software has been used to analyze fuel rate and gas emission. Based on the findings, it can be concluded that, Route C and single spilt-mode PHEV powertrain used and emit least amount of fuel and emissions.
Volume: 9
Issue: 3
Page: 1780-1787
Publish at: 2019-06-01

Blind separation of complex-valued satellite-AIS data for marine surveillance: a spatial quadratic time-frequency domain approach

10.11591/ijece.v9i3.pp1732-1741
Omar Cherrak , Hicham Ghennioui , Nadege Thirion Moreau , El Hossein Abarkan
In this paper, the problem of the blind separation of complex-valued Satellite-AIS data for marine surveillance is addressed. Due to the specific properties of the sources under consideration: they are cyclo-stationary signals with two close cyclic frequencies, we opt for spatial quadratic time-frequency domain methods. The use of an additional diversity, the time delay, is aimed at making it possible to undo the mixing of signals at the multi-sensor receiver. The suggested method involves three main stages. First, the spatial generalized mean Ambiguity function of the observations across the array is constructed. Second, in the Ambiguity plane, Delay-Doppler regions of high magnitude are determined and Delay-Doppler points of peaky values are selected. Third, the mixing matrix is estimated from these Delay-Doppler regions using our proposed non-unitary joint zero-(block) diagonalization algorithms as to perform separation.
Volume: 9
Issue: 3
Page: 1732-1741
Publish at: 2019-06-01

Impact of compressed air energy storage system into diesel power plant with wind power penetration

10.11591/ijece.v9i3.pp1553-1560
Abdulla Ahmed , Tong Jiang
The wind energy plays an important role in power system because of its renewable, clean and free energy. However, the penetration of wind power (WP) into the power grid system (PGS) requires an efficient energy storage systems (ESS). compressed air energy storage (CAES) system is one of the most ESS technologies which can alleviate the intermittent nature of the renewable energy sources (RES). Nyala city power plant in Sudan has been chosen as a case study because the power supply by the existing power plant is expensive due to high costs for fuel transport and the reliability of power supply is low due to uncertain fuel provision. This paper presents a formulation of security-constrained unit commitment (SCUC) of diesel power plant (DPP) with the integration of CAES and PW. The optimization problem is modeled and coded in MATLAB which solved with solver GORUBI 8.0. The results show that the proposed model is suitable for integration of renewable energy sources (RES) into PGS with ESS and helpful in power system operation management.
Volume: 9
Issue: 3
Page: 1553-1560
Publish at: 2019-06-01

Intelligent fire detection and alert system using labVIEW

10.11591/ijece.v9i3.pp1842-1849
Fakrulradzi Idris , Norlezah Hashim , Ahmad Fauzan Kadmin , Lee Boon Yee
Fire detection systems are designed to discover fires and allow the safe evacuation of occupants as well as protecting the safety of emergency response personnel. This paper describes the design and development of a fire detection and alert system. Temperature and flame sensors are used to indicate the occurrence of fire. This work consists of two parts, which are transmitter and receiver, both using ZigBee wireless technology. Arduino Uno is used as the microcontroller at the transmitter part to control the sensor nodes and give alert when over temperature and flame are detected. At the transmitter, the collected data from the sensors are transmitted by an XBee module operated as router node. At the receiver side, an XBee coordinator module which is attached to a computer using USB to serial communication captured the data for further processing. In addition, an interactive and user-friendly Graphical User Interface (GUI) is developed. LabVIEW software is used to design the GUI which displays and analyze the possibility of fire happening. The system can display the fire location and provides early warning to allow occupants to escape the building safely.
Volume: 9
Issue: 3
Page: 1842-1849
Publish at: 2019-06-01

Starting torque and torque ripple reduction using SVPWM based vector control of induction motor with nine-level cascaded multilevel inverter fed with solar PV power

10.11591/ijpeds.v10.i2.pp1123-1132
Shashibhushan Shashibhushan , Savita Sonoli
This paper is an attempt to develop an Induction Motor Drive System with Multilevel Inverter topology for reduced torque ripple application. A Nine level-cascaded multilevel inverter is developed for the induction motor drive with SVPWM control powered by boost converter fed using solar PV supply. The SVPWM control based implementation of vector control using a multilevel inverter topology needs a multilevel SVPWM control technique, which is implemented in this paper. The Solar power supplied is applied with the MPPT technique and the supplied DC power is fed to the three phase cascaded 9 level multilevel inverter. The vector control of induction motor is carried out using the SVPWM technique on the multilevel topology. The torque ripple reduction in the output is observed and compared with the vector control of induction motor. Matlab based implementation is carried out and the results are tabulated and inferred.
Volume: 10
Issue: 2
Page: 1123-1132
Publish at: 2019-06-01

Dynamic model of A DC-DC quasi-Z-source converter (q-ZSC)

10.11591/ijece.v9i3.pp1585-1597
Muhammad Ado , Awang Jusoh , Abdulhamid Usman Mutawakkil , Tole Sutikno
Two quasi-Z-source DC-DC converters (q-ZSCs) with buck-boost converter gain were recently proposed. The converters have advantages of continuous gain curve, higher gain magnitude and buck-boost operation at efficient duty ratio range when compared with existing q-ZSCs. Accurate dynamic models of these converters are needed for global and detailed overview by understanding their operation limits and effects of components sizes. A dynamic model of one of these converters is proposed here by first deriving the gain equation, state equations and state space model. A generalized small signal model was also derived before localizing it to this topology. The transfer functions (TF) were all derived, the poles and zeros analyzed with the boundaries for stable operations presented and discussed. Some of the findings include existence of right-hand plane (RHP) zero in the duty ratio to output capacitor voltage TF. This is common to the Z-source and quasi-Z-source topologies and implies control limitations. Parasitic resistances of the capacitors and inductors affect the nature and positions of the poles and zeros. It was also found and verified that rather than symmetric components, use of carefully selected smaller asymmetric components L1 and C1 produces less parasitic voltage drop, higher output voltage and current under the same conditions, thus better efficiency and performance at reduced cost, size and weight.
Volume: 9
Issue: 3
Page: 1585-1597
Publish at: 2019-06-01

Recommendations and solutions to remove some barriers to the deployment of smart grid in Morocco

10.11591/ijpeds.v10.i2.pp744-752
Rachid Habachi , Achraf Touil , Abdellah Boulal , Abdelkabir Charkaoui , Abdelwahed Echchatbi
In this paper, we identify the current state and prospects of smart grids in Morocco. We begin by describing the current state of the Moroccan network, then we study the obstacles to the development of smart grids in Morocco and internationally. We conclude with recommendations and solutions to remove some barriers to the deployment of intelligent electrical networks in Morocco.
Volume: 10
Issue: 2
Page: 744-752
Publish at: 2019-06-01

Evaluation of gas fuel and biofuel usage in turbine

10.11591/ijeecs.v14.i3.pp1097-1104
Dalya H. Al-Mamoori , Mohanad H. Aljanabi , Ali Assim Alobaidi , Omar Muhammed Neda , Zaid H. Al-Tameemi
Modern gas turbines are a significant source for power generation and prime mover for marine propulsion. The depleting fossil fuel sources have provided a cue for broader implementation and usage of renewable energy. Biofuel has been touted as a substitute for natural gas to power gas turbines. To confirm the dependability and reliability of this attempt in a complex multi-domain system, for example, the gas turbine, the fuel system of the micro-gas turbine is designed and modelled using MATLAB Simulink. The model; simulates the; transient and steady state of a gas turbine’s nominal functional situations. Evaluations between the field data and; simulation outcomes validate a high degree of correspondence. The fuel system in the micro;-gas turbine simulation model is also optimized with the experimental data. 
Volume: 14
Issue: 3
Page: 1097-1104
Publish at: 2019-06-01
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