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31,291 Article Results

An Efficient Framework to Improve QoS of CSP using Enhanced Minimal Resource Optimization based Scheduling Algorithm

10.11591/ijeecs.v12.i3.pp1179-1186
Ravi Mahadevan , Neelamegam Anbazhagan
Online Nowadays, the enterprises & individuals are contributing their workloads on cloud service providers which are going to increase on daily basis. There are   large amount CSP are available to offer virtualized and dynamic resource on pay and use basis. However, there are almost CSP failed to maintain quality of service (QOS) and minimal resource optimization. Some of the existing approaches are highly dedicated on scheduling policy but, it does not considered reliable services with optimized QOS. To offer best solution of above problem, the framework proposes Enhanced Minimal Resource Optimization based Scheduling Algorithm to minimize the resources and maintain the QOS.  The method avoids delay in Request-Response model in cloud environment. To avoid overload for resource allocation, the proposed design utilized optimized scheduling policy.  Proposed mechanisms utilized optimized service brokering policy to reduce the delay response in cloud environment. The framework also help cloud user to prefer best CSP according to their prior services. The method offers rising trend of resource based structure to reduce the placement churn extensively. Proposed system utilized efficient scheduling policy to transmit data request to CSP with minimal data processing time. The entire utilization is to improve the QOS of cloud service provider in the features of multi-dimensional resource. Based on experimental evaluations, proposed technique improves the CPT (Computation Processing Time) 301.72 milliseconds, BU (Bandwidth Utilization) 20 Mbps, CPUU (CPU Utilization) 5% & MRU (Memory Resource Utilization) 3% on given input parameters compare than existing methodology.
Volume: 12
Issue: 3
Page: 1179-1186
Publish at: 2018-12-01

Using Partial Credit Model to Improve the Quality of an Instrument

10.11591/ijere.v7i4.15146
Saras Krishnan , Noraini Idris
In using the Rasch model to improve the quality of an instrument, analysis purports to determine if the sample collaborates well with the items in the instrument such that the results are measuring a single underlying variable. The relevant properties of Rasch analysis are reliability and validity which are key indicators of the quality of a measurement instrument. This paper discusses the use of one type of Rasch model that is the Partial Credit Model to investigate reliability and validity of an instrument. By removing or changing items in the instrument when conditions of reliability and validity are not met, the quality of the instrument is improved.
Volume: 7
Issue: 4
Page: 313-316
Publish at: 2018-12-01

Item Analysis for the Adapted Motivation Scale Using Rasch Model

10.11591/ijere.v7i4.15376
Sar Ee Ng , Kee Jiar Yeo , Azlina bt Mohd Kosnin
The aim of this study was to measure the validity and reliability of an adapted motivation scale used in second language learning.  The Integrative and Instrumental motivation (IIM)  was developed based on two orientations of motivation, which were integrative motivation and instrumental motivation.  IIM was used to identify students’ level of motivation towards learning Chinese language as a second language (CLSL) in national school.  The study presented empirical evidence of validity and reliability using the Rasch Model.   Pilot study was conducted in a national school which has students enrolled for the CLSL class.   There were 29 students in this pilot study.  Data was  analyzed using WINSTEPS version 3.72.3.  The result showed the reliability of the motivation scale is 0.87 based on Cronbach’s alpha.  The construct validity was determined by PT-measure correlation value (PMC) range from 0.71 to 0.86, infit and outfit MNSQ  between 0.53 to 1.43 and ZSTD range from -1.1 to 1.2. In unidimensional measure, raw variance explained was at 66.4%  with the unexplanined variance in the first factor was at 13.6%.  Finally the fit statistics showed that person separation index, 2.79 was considered good and item separation index, 1.81was in acceptable range (Linacre,2012).  Person and item reliability were at 0.89 and 0.77 respectively.  The result indicated that the new instrument with 15 items-IIM after eliminated unfit items was a reliable and valid instrument to measure the motivation in learning CLSL in the context of national school.
Volume: 7
Issue: 4
Page: 264-269
Publish at: 2018-12-01

A New Frequency for Offshore Wind-farm Based on Component Loss Calculation

10.11591/ijape.v7.i3.pp227-234
Koganti Srilakshmi , P. Aravindhababu , P. Ravi Babu
Offshore wind power plants are gaining importance in recent years, as there is adequate space available for its installation, high wind speed, no restriction on the size of turbine blades (no transportation and construction problem) and blades can be allowed to rotate at higher speed without any noise constraint, thereby increasing the rated power. However, the existing offshore wind farms face greater cost related challenges than those of onshore plants. The integration of offshore wind farm with onshore power grid is a complex issue. Feasible solutions for power transmission through cables from offshore wind farms to onshore are HVAC, line commutated HVDC  and  VSC-HVDC.  This paper analyses the various schemes for integration of offshore wind farm with onshore power grid and suggests that LFAC with submarine cable operating at 0.7 Hz is an optimal choice in obtaining better performances. 
Volume: 7
Issue: 3
Page: 227-234
Publish at: 2018-12-01

Interleaved Flyback Converter with Embedded Grid Interacting PV Cascaded MLI

10.11591/ijape.v7.i3.pp277-283
Jaikrishna V , Subhranhsu Sekhar Dash , Linss T Alex , R. Sridhar
The importance of extracting power from renewable energy sources are increasing in the modern world as the power demand is increasing day by day and the non renewable energy sources are getting dried up. Solar power is a domestic source of energy and its availability throughout the year makes it a primary target to solve this crisis. It will never produce any hazardous waste or pollution. But various issues like Power quality problems and Harmonic distortion seep in due to the intermittent nature of PV system. This paper proposes a cascaded H–bridge multilevel inverter for grid connected PV system with a flyback converter. This helps to achieve maximum power point tracking and also provides isolation which will further help to increase system efficiency. The DC–DC flyback converters are cascaded to generate multilevel output voltage. Then this multilevel dc output is given to H bridge inverter to generate multilevel output. A new control algorithm is used in this paper which combines voltage–hold Perturb and observe method and modified PWM algorithm which helps to achieve the best MPPT. The proposed topology is implemented in PSIM. The Simulation and Hardware results reveal that the suggested technique is highly.
Volume: 7
Issue: 3
Page: 277-283
Publish at: 2018-12-01

Light Control and Watering System in Greenhouse for The Cultivation of Chrysanthemum Sp

10.11591/ijeecs.v12.i3.pp950-957
Adam Faroqi , Muhammad Ali Ramdhani , Muhammad Fahmi Amrillah , Lia Kamelia , Eneng Nuraeni
Chrysanthemum (Chrysanthemum Sp) is sensitive to temperature and humidity. The greenhouse is an appropriate planting medium since temperature and humidity can be engineered there. This article presents the design of systems using DHT-22 and SEN0057 sensors. Real Time Clock (RTC) is used for providing timing input and functions as an extra light intensity timer. Arduino Mega 2560 is used as a microcontroller functioning to receive the results of sensor measurement and to give output instructions to condition the temperature and humidity. The testing on chrysanthemum Sp placed inside the greenhouse equipped with the system for 7 days shows an increase of height of 3.7 cm. As for chrysanthemum Sp placed outside the greenhouse equipped with the system for 7 days, there is an increase of height of 0, 2 cm. These greenhouse light control and Watering systems can engineer the temperature and humidity in accordance with the needs of chrysanthemum Sp cultivation in the greenhouse. 
Volume: 12
Issue: 3
Page: 950-957
Publish at: 2018-12-01

Performance Investigation of Grid Connected Photovoltaic System Modelling Based on MATLAB Simulation

10.11591/ijece.v8i6.pp4847-4854
Adnan Hussein Ali , Hassan Salman Hamad , Ali Abdulwahhab Abdulrazzaq
Photovoltaic (PV) systems are normally modeled by employing accurate equations dealing with a behavior the PV system. This model has Characteristic of PV array cells, which are influenced by both irradiation and temperature variations. Grid-connected PV system is considered as electricity generated solar cell system which is connected to the grid utilities. This paper characterizes an exhibiting and simulating of PV system that executed with MATLAB /Simulink. The impact of solar irradiances as well as ambient temperature performances of PV models is investigated and noted that a lower temperature provides maximum power higher so that the open circuit voltage is larger. Furthermore, if the temperature is low, then a considerably short circuit current is low too.
Volume: 8
Issue: 6
Page: 4847-4854
Publish at: 2018-12-01

Accelerating Compression Time of the standard JPEG by Employing The Quantized YCbCr Color Space Algorithm

10.11591/ijece.v8i6.pp4343-4351
Trini Saptariani , Sarifudin Madenda , Ernastuti Ernastuti , Widya Silfianti
In this paper, we propose a quantized YCbCr color space (QYCbCr) technique which is employed in standard JPEG. The objective of this work is to accelerate computational time of the standard JPEG image compression algorithm. This is a development of the standard JPEG which is named QYCBCr algorithm. It merges two processes i.e., YCbCr color space conversion and Q quantization in which in the standar JPEG they were performed separately. The merger forms a new single integrated process of color conversion which is employed prior to DCT process by subsequently eliminating the quantization process. The equation formula of QYCbCr color coversion is built based on the chrominance and luminance properties of the human visual system which derived from quatization matrices. Experiment results performed on images of different sizes show that the computational running time of QYCbCr algorithm gives 4 up to 8 times faster than JPEG standard, and also provides higher compression ratio and better image quality.
Volume: 8
Issue: 6
Page: 4343-4351
Publish at: 2018-12-01

New technique combining the Tone Reservation method with Clipping technique to reduce the Peak-to-Average Power Ratio

10.11591/ijece.v8i6.pp5215-5226
Hajar Abdelali
Nonlinear distortions and impairments appear in multicarrier signal with high fluctuations when amplified by a Radio Frequency Power Amplifier (RF PA). Clipping (CL) technique offers a simple way to reduce these fluctuations in Orthogonal Frequency Division Multiplexing (OFDM) Technique, but may degrade seriously the transmission quality. This is why the new mobile standards propose other methods, like the Tone Reservation (TR) technique in the Digital Video Broadcasting-Terrestrial (DVB-T), that reduce the Peak-to-Average Power Ratio (PAPR) without reaching optimal performances. This paper deals with how we can use the TR technique, which exploits null sub-carriers for generating corrective signal, in combining to CL technique in order to improve PAPR reduction without data loss. Also, we show some comparison results on the PAPR reduction obtained with proposed scheme and other techniques. Experiments using a simulated example on a complete WiMax 802.16e transmitter have been made in order to investigate the PAPR reduction performances on presence of the non-linear Power Amplifier model based on gain compression response and phase distortion.
Volume: 8
Issue: 6
Page: 5215-5226
Publish at: 2018-12-01

Response of Polycrystalline Solar Cell Outputs to Visible Spectrum and other Light Sources-a Case Study

10.11591/ijece.v8i6.pp4096-4103
Ayman Y. Al-Rawashdeh , Omar Albarbarawi , Ghazi Qaryouti
In this case study, two polycrystalline solar modules were installed outdoors (irradiated by sunlight) and indoors (irradiated by artificial lights). The solar cells in both cases were installed using different color filters that allowed the passage of certain light frequencies. The amount of energy produced by each module were measured and compared to a reference module with no filter. The results indicated the variable response of polycrystalline solar cells to natural and artificial light sources, being more responsive in both cases to red band color as could be deduced from their % current outputs (72.5% sunlight radiation; 84.38% artificial light sources). Other colors, including yellow, green, orange and violet afforded acceptable outputs. The results indicated that electrical outputs of indoor solar cells decreased when colored filters were used, but red filter in general afforded the maximum outputs, for both the artificially radiated indoor and naturally radiated outdoor solar cells. The case study suggests the possible complementary advantage of using indoor mounted solar cells for the production of electricity during artificial illumination period of the day.
Volume: 8
Issue: 6
Page: 4096-4103
Publish at: 2018-12-01

Cardiac Motions Classification on Sequential PSAX Echocardiogram

10.11591/ijeecs.v12.i3.pp1289-1296
Adam Shidqul Aziz , Riyanto Sigit , Achmad Basuki , Taufik Hidayat
Cardiac wall motions classification on 2-dimensional (2D) echocardiographic images is an important issue for quantitative diagnosiing of heart disease. Unfortunately, the bad quality of echocardiogram cause computationally classification on cardiac wall motions is still become a big homework for many researchers to provide the best result. Echocardiogram is produced by soundwaves which absolutely make its images have speckle noise in different intensity. Therefore, this research improves a set of methodology to classify cardiac wall motion semi-automatically. Raw echocardiogram will be enhanced and segmented to take the boundary of endocardium of left ventricular in PSAX cardiac images. New improvement of Semi-automatically methodology is approach on detecting the contour of endocardium and will be inputed as good features in Lucas-Kanade Optical Flow in all sequential echocargraphic images. On classifying cardiac wall motions, this research proposes two important features including length of displacement and flow direction. New proprosed flow determination algorithm and Euclidean distance is used to calculate those features. All the features will be trained by Neural Network (NN) and validated by Leave One Out (LOO) to get accurate result. NN method, which is validated by LOO, has the best result of 81.82% correctness than the other compared methods.
Volume: 12
Issue: 3
Page: 1289-1296
Publish at: 2018-12-01

Optimization of the Thyristor Controlled Phase Shifting Transformer using PSO Algorithm

10.11591/ijece.v8i6.pp5472-5483
Hadi Suyono , Rini Nur Hasanah , Paramita Dwi Putri Pranyata
The increase of power system demand leads to the change in voltage profile, reliability requirement and system robustness against disturbance. The voltage profile can be improved by providing a source of reactive power through the addition of new power plants, capacitor banks, or implementation of Flexible AC Transmission System (FACTS) devices such as Static VAR Compensator (SVC), Unified Power Flow Control (UPFC), Thyristor Controlled Series Capacitor (TCSC), Thyristor Controlled Phase Shifting Transformer (TCPST), and many others. Determination of optimal location and sizing of device injection is paramount to produce the best improvement of voltage profile and power losses reduction. In this paper, optimization of the combined advantages of TCPST and TCSC has been investigated using Particle Swarm Optimization (PSO) algorithm, being applied to the 30-bus system IEEE standard. The effectiveness of the placement and sizing of TCPST-TCSC combination has been compared to the implementation of capacitor banks. The result showed that the combination of TCPST-TCSC resulted in more effective improvement of system power losses condition than the implementation of capacitor banks.  The power losses reduction of 46.47% and 42.03% have been obtained using of TCPST-TCSC combination and capacitor banks respectively. The TCPST-TCSC and Capacitor Bank implementations by using PSO algorithm have also been compared with the implementation of Static VAR Compensator (SVC) using Artificial Bee Colony (ABC) Algorithm. The implementation of the TCSC-TCPST compensation with PSO algorithm have gave a better result than using the capacitor bank with PSO algorithm and SVC with the ABC algorithm.
Volume: 8
Issue: 6
Page: 5472-5483
Publish at: 2018-12-01

A Computational Analysis of ECC Based Novel Authentication Scheme in VANET

10.11591/ijece.v8i6.pp5268-5277
Sachin P. Godse , Parikshit N. Mahalle
A recent development in the adhoc network is a vehicular network called VANET (Vehicular Adhoc Network). Intelligent Transportation System is the Intelligent application of VANET. Due to open nature of VANET attacker can launch various kind of attack. As VANET messages are deal with very crucial information’s which may save the life of passengers by avoiding accidents, save the time of people on a trip, exchange of secret information etc., because of this security is must be in the VANET. To ensure the highest level of security the network should be free from attackers, there by all information pass among nodes in the network must be reliable i.e. should be originated by an authenticated node. Authentication is the first line of security in VANET; it avoids nonregistered vehicle in the network. Previous research come up with some Cryptographic, Trust based, Id based, Group signature based authentication schemes. A speed of authentication and privacy preservation is important parameters in VANET authentication. This paper addresses the computational analysis of authentication schemes based on ECC. We started analysis from comparing plain ECC with our proposed AECC (Adaptive Elliptic Curve Cryptography) and EECC (Enhanced Elliptic Curve Cryptography). The result of analysis shows proposed schemes improve speed and security of authentication. In AECC key size is adaptive i.e. different sizes of keys are generated during key generation phase. Three ranges are specified for key sizes small, large and medium. In EECC we added an extra parameter during transmission of information from the vehicle to RSU for key generation. Schemes of authentications are evaluated by comparative analysis of time required for authentication and key breaking possibilities of keys used in authentication.
Volume: 8
Issue: 6
Page: 5268-5277
Publish at: 2018-12-01

Ant System and Weighted Voting Method for Multiple Classifier Systems

10.11591/ijece.v8i6.pp4705-4712
Abdullah Husin , Ku Ruhana Ku-Mahamud
Combining multiple classifiers is considered as a general solution for classification tasks. However, there are two problems in combining multiple classifiers: constructing a diverse classifier ensemble; and, constructing an appropriate combiner. In this study, an improved multiple classifier combination scheme is propose. A diverse classifier ensemble is constructed by training them with different feature set partitions. The ant system-based algorithm is used to form the optimal feature set partitions. Weighted voting is used to combine the classifiers’ outputs by considering the strength of the classifiers prior to voting. Experiments were carried out using k-NN ensembles on benchmark datasets from the University of California, Irvine, to evaluate the credibility of the proposed method. Experimental results showed that the proposed method has successfully constructed better k-NN ensembles. Further more the proposed method can be used to develop other multiple classifier systems.
Volume: 8
Issue: 6
Page: 4705-4712
Publish at: 2018-12-01

Detection and Monitoring Intra/Inter Crosstalk in Optical Network on Chip

10.11591/ijece.v8i6.pp4912-4921
Ahmed Jedidi
Multiprocessor system-on-chip (MPSoC) has become an attractive solution for improving the performance of single chip in objective to satisfy the performance growing exponentially of the computer applications as multimedia applications. However, the communication between the different processors’ cores presents the first challenge front the high performance of MPSoC. Besides, Network on Chip (NoC) is among the most prominent solution for handling the on-chip communication. Besides, NoC potential limited by physical limitation, power consumption, latency and bandwidth in the both case: increasing data exchange or scalability of Multicores. Optical communication offers a wider bandwidth and lower power consumption, based on, a new technology named Optical Network-on-Chip (ONoC) has been introduced in MPSoC. However, ONoC components induce the crosstalk noise in the network on both forms intra/inter crosstalk. This serious problem deteriorates the quality of signals and degrades network performance. As a result, detection and monitoring the impairments becoming a challenge to keep the performance in the ONoC. In this article, we propose a new system to detect and monitor the crosstalk noise in ONoC. Particularly, we present an analytic model of intra/inter crosstalk at the optical devices. Then, we evaluate these impairments in objective to present the motivation to detect and monitor crosstalk in ONoC, in which our system has the capability to detect, to localize, and to monitor the crosstalk noise in the whole network. This system offers high reliability, scalability and efficiency with time running time less than 20 ms.
Volume: 8
Issue: 6
Page: 4912-4921
Publish at: 2018-12-01
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