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29,734 Article Results

Forecasting Short-term Wholesale Prices on the Irish Single Electricity Market

10.11591/ijece.v8i6.pp4060-4078
Francesco Arci , Jane Reilly , Pengfei Li , Kevin Curran , Ammar Belatreche
Electricity markets are different from other markets as electricity generation cannot be easily stored in substantial amounts and to avoid blackouts, the generation of electricity must be balanced with customer demand for it on a second-by-second basis. Customers tend to rely on electricity for day-to-day living and cannot replace it easily so when electricity prices increase, customer demand generally does not reduce significantly in the short-term. As electricity generation and customer demand must be matched perfectly second-by-second, and because generation cannot be stored to a considerable extent, cost bids from generators must be balanced with demand estimates in advance of real-time. This paper outlines a a forecasting algorithm built on artificial neural networks to predict short-term wholesale prices on the Irish Single Electricity Market so that market participants can make more informed trading decisions. Research studies have demonstrated that an adaptive or self-adaptive approach to forecasting would appear more suited to the task of predicting energy demands in territory such as Ireland. We have identified the features that such a model demands and outline it here.
Volume: 8
Issue: 6
Page: 4060-4078
Publish at: 2018-12-01

Employee Performance Measurement in Teleworking Using Balanced Scorecard

10.11591/ijece.v8i6.pp5178-5184
Sunu Sugi Arso , Sfenrianto Sfenrianto , Mochamad Wahyudi
Key Performance Indicator (KPI) must be aligned with the development of the organization. PT. Mitra Intregrasi Informatika (MII) in its development decided to change the traditional way of work to modern telework. This encourages companies to adjust employee’s KPI from the traditional way of work turns in to telework. In order to perform KPI measurement of its employees based on teleworking, this research uses balanced scorecard method approach that is by taking into account financial, customer, and internal business process and learning and growth perspective. The results of this study are the design proposal KPI employees to accommodate telework at the company. Then KPI employee test results showed an increase in the average value of the employee KPI of 0.295 points (9.47%) of the old KPI. Thus, it is recommended to the company to implement the employee KPI.
Volume: 8
Issue: 6
Page: 5178-5184
Publish at: 2018-12-01

Credit Scoring Using Classification and Regression Tree (CART) Algorithm and Binary Particle Swarm Optimization

10.11591/ijece.v8i6.pp5425-5431
Reza Firsandaya Malik , Hermawan Hermawan
Credit scoring is a procedure that exists in every financial institution. A way to predict whether the debtor was qualified to be given the loan or not and has been a major concern in the overall steps of the loan process. Almost all banks and other financial institutions have their own credit scoring methods. Nowadays, data mining approach has been accepted to be one of the well-known methods. Certainly, accuracy was also a major issue in this approach. This research proposed a hybrid method using CART algorithm and Binary Particle Swarm Optimization. Performance indicators that are used in this research are classification accuracy, error rate, sensitivity, specificity, and precision. Experimental results based on the public dataset showed that the proposed method accuracy is 78 %. In compare to several popular algorithms, such as neural network, logistic regression and support vector machine, the proposed method showed an outstanding performance. 
Volume: 8
Issue: 6
Page: 5425-5431
Publish at: 2018-12-01

High Speed and Low Pedestal Error Bootstrapped CMOS Sample and Hold Circuit

10.11591/ijece.v8i6.pp4148-4156
Agung Setiabudi , Hiroki Tamura , Koichi Tanno
A new high speed, low pedestal error bootstrapped CMOS sample and hold (S/H) circuit is proposed for high speed analog-to-digital converter (ADC). The proposed circuit is made up of CMOS transmission gate (TG) switch and two new bootstrap circuits for each transistor in TG switch. Both TG switch and bootstrap circuits are used to decrease channel charge injection and on-resistance input signal dependency. In result, distortion can be reduced. The decrease of channel charge injection input signal dependency also makes the minimizing of pedestal error by adjusting the width of NMOS and PMOS of TG switch possible. The performance of the proposed circuit was evaluated using HSPICE 0.18-m CMOS process. For 50 MHz sinusoidal 1 V peak-to-peak differential input signal with a 1 GHz sampling clock, the proposed circuit achieves 2.75 mV maximum pedestal error, 0.542 mW power consumption, 90.87 dB SNR, 73.50 SINAD which is equal to 11.92 bits ENOB, -73.58 dB THD, and 73.95 dB SFDR.
Volume: 8
Issue: 6
Page: 4148-4156
Publish at: 2018-12-01

Design and Analysis of Adaptive Sliding Mode with Exponential Reaching Law Control for Double-Fed Induction Generator Based Wind Turbine

10.11591/ijpeds.v9.i4.pp1534-1544
Kheira Belgacem , Abelkader Mezouar , Najib Essounbouli
The main objective of this paper is to continue the development of activities of basic and applied research related to wind energy and to develop methods of optimal control to improve the performance and production of electrical energy from wind. A new control technique of Double fed induction generator for wind turbine is undertaken through a robust approach tagged nonlinear sliding mode control (SMC) with exponential reaching law control (ERL). The SMC with ERL proves to be capable of reducing the system chattering phenomenon as well as accelerating the approaching process. A nonlinear case numerical simulation test is employed to verify the superior performance of the ERL method over traditional power rate reaching strategy.  Results obtained in Matlab/Simulink environment show that the SMC with ERL is more robust, prove excellent performance for the control unit by improving power quality and stability of wind turbine.
Volume: 9
Issue: 4
Page: 1534-1544
Publish at: 2018-12-01

Performance of Bidirectional Converter Based On Grid Application

10.11591/ijeecs.v12.i3.pp1203-1210
D. Vidhyalakshmi , K. Balaji
A transformer less bidirectional inverter fed grid-connected system has implemented and function as both forward and reverse power flow by battery and photovoltaic system. In dc distributed system has utilized the renewable energy such as PV, wind, battery and fuel system. In conventional method the dc bus regulation by using the one line cycle regulation method and one-sixth line cycle regulation. In proposed method utilize both converter and inverter operates bidirectional direction and utilize both solar and PV source. The solar energy had less cost, pollution less energy generation and fed into the bidirectional converter. The PI-based control method is used to operate both forward and reverse direction. The model predictive control method is used in the bidirectional inverter for control the current and voltage of the grid-connected system. The power flow control in the distribution system by the constant power loads such as dc/dc converter because conduct the negative dynamic impedance. The three-phase bidirectional inverter is designed and implemented in MATLAB/Simulink environment.
Volume: 12
Issue: 3
Page: 1203-1210
Publish at: 2018-12-01

Strategy for Foreground Movement Identification Adaptive to Background Variations

10.11591/ijece.v8i6.pp4258-4264
K. Anuradha , N.R. Raajan
Video processing has gained a lot of significance because of its applications in various areas of research. This includes monitoring movements in public places for surveillance. Video sequences from various standard datasets such as I2R, CAVIAR and UCSD are often referred for video processing applications and research. Identification of actors as well as the movements in video sequences should be accomplished with the static and dynamic background. The significance of research in video processing lies in identifying the foreground movement of actors and objects in video sequences. Foreground identification can be done with a static or dynamic background. This type of identification becomes complex while detecting the movements in video sequences with a dynamic background. For identification of foreground movement in video sequences with dynamic background, two algorithms are proposed in this article. The algorithms are termed as Frame Difference between Neighboring Frames using Hue, Saturation and Value (FDNF-HSV) and Frame Difference between Neighboring Frames using Greyscale (FDNF-G). With regard to F-measure, recall and precision, the proposed algorithms are evaluated with state-of-art techniques. Results of evaluation show that, the proposed algorithms have shown enhanced performance.
Volume: 8
Issue: 6
Page: 4258-4264
Publish at: 2018-12-01

Establishment Network by Using FSO Link Based on MD Code for Hybrid SCM-SAC-OCDMA Wireless System

10.11591/ijece.v8i6.pp5107-5117
Rashid Ali Fayadh , Mousa K. Wali , Mehdi F. Bonneya
Since the wireless systems are working under nature environments and influenced by turbulence, weather in Iraq that leads to extended amount of fading signal, dissipation or attenuation. Basic “hybrid Subcarrier Multiplying Spectral Amplitude Coding (SCM-SAC) of Optical Code Division Multiple Access (OCDMA)" indoor or outdoor optical system depends on generally “Multi-Diagonal (MD)" security code by using optical space known as “Free Space Optic (FSO)" that was proposed in this work. It is found that the mention hybrid wireless systems can be used in operating mesh networks. The main proposed idea of hybrid optical technique was analyzed and simulated by normally taking into simulation account that the directly effecting by rain and haze attenuations. In addition, there are mention and description for atmospheric effects, FSO mesh network, modulation scheme, simulation, and the data security. From simulation results, the hybrid system using MD code produces reduced “bit-error rate (BER)" at heavy storm rain to distance or range of 500 m and at drizzle rain up to 2500 m range. And also investigates the performance of using the proposed system with radio over fiber (RoF) for UWB signals through indoor propagation in building applications of wireless channel.
Volume: 8
Issue: 6
Page: 5107-5117
Publish at: 2018-12-01

A Wavelet Based Solar Radiation Prediction in Nigeria Using Adaptive Neuro-Fuzzy Approach

10.11591/ijeecs.v12.i3.pp907-915
Sani Salisu , Mohd Wazir Mustafa , Mamunu Mustapha
In this study, a hybrid approach combining an Adaptive Neuro-Fuzzy Inference System (ANFIS) and Wavelet Transform (WT) is examined for solar radiation prediction in Nigeria. Meteorological data obtained from NIMET Nigeria comprising of monthly mean minimum temperature, maximum temperature, relative humidity and sunshine hours were used as inputs to the model and monthly mean solar radiation was used as the model output. The data used was divided into two for training and testing, with 70% used during the training phase and 30% during the testing phase. The hybrid model performance is assessed using three statistical evaluators, Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE) and Coefficient of determination (R2). According to the results obtained, a very accurate prediction was achieved by the WT- ANFIS model by improving the value of (R2) by at least 14% and RMSE by at least 78% when compared with other existing models. And a MAPE of 2% is recorded using the proposed approach. The obtained results prove the developed WT-ANFIS model as an efficient tool for solar radiation prediction.
Volume: 12
Issue: 3
Page: 907-915
Publish at: 2018-12-01

Efficient H.264 Decoder Architecture using External Memory and Pipelining

10.11591/ijeecs.v12.i3.pp995-1002
G.R. Poornima , S C Prasanna Kumar
A H.264 standard is one of the most popular coding standard with significant improvement in video broadcasting and streaming application. However it’s significant in compression but needs huge calculation and complex algorithm for providing better image quality and compression rate. In H.264 coding technique, designing of decoder is a key factor for efficient coding. In this paper we are designing a decoder using a complex input. We ensured several improvement like looping arrangement, buffer upgradation, buffer supplement, memory reusability and pipelining architecture. We have modified the memory structure also. Our designed decoder achieves a better frame decoding efficiency against state-of-art methods. The proposed approach also provides good area optimization with a maximum frequency of 355 MHz.
Volume: 12
Issue: 3
Page: 995-1002
Publish at: 2018-12-01

Analysis of Mobile Service Providers Performance Using Naive Bayes Data Mining Technique

10.11591/ijece.v8i6.pp5153-5161
M. A. Burhanuddin , Ronizam Ismail , Nurul Izzaimah , Ali Abdul-Jabbar Mohammed , Norzaimah Zainol
Recently, the mobile service providers have been growing rapidly in Malaysia. In this paper, we propose analytical method to find best telecommunication provider by visualizing their performance among telecommunication service providers in Malaysia, i.e. TM Berhad, Celcom, Maxis, U-Mobile, etc. This paperuses data mining technique to evaluate the performanceof telecommunication service providers using their customers feedback from Twitter Inc. It demonstrates on how the system could process and then interpret the big data into a simple graph or visualization format. In addition, build a computerized tool and recommend data analytic model based on the collected result. From prepping the data for pre-processing until conducting analysis, this project is focusing on the process of data science itself where Cross Industry Standard Process for Data Mining (CRISP-DM) methodology will be used as a reference. The analysis was developed by using R language and R Studio packages. From the result, it shows that Telco 4 is the best as it received highest positive scores from the tweet data. In contrast, Telco 3 should improve their performance as having less positive feedback from their customers via tweet data. This project bring insights of how the telecommunication industries can analyze tweet data from their customers. Malaysia telecommunication industry will get the benefit by improving their customer satisfaction and business growth. Besides, it will give the awareness to the telecommunication user of updated review from other users.
Volume: 8
Issue: 6
Page: 5153-5161
Publish at: 2018-12-01

A Novel DC-AC Inverter Topology to Eliminate Leakage Current

10.11591/ijpeds.v9.i4.pp1733-1744
Tarek Selmi , Maher Rezgui
Experiments confirmed that Transformerless Inverters (TIs) deliver more reliability and higher energy efficiency. Nonetheless, one of the shortcomings of TIs is the leakage current that occurs between the photovoltaic (PV) string terminals and the ground. Such a drawback is justified by the non-galvanic isolation caused by the transformer being omitted. As such, this study is intended to develop a novel TI inverter topology for solar PV systems. The latter is meant to remove the leakage current and enhance the operating system of the entire PV conversion as well. Added to its null zero-crossing distortion and capability regarding energy efficiency, the developed TI, being validated by simulation and experiment, eradicated the leakage current.
Volume: 9
Issue: 4
Page: 1733-1744
Publish at: 2018-12-01

Prediction Based Efficient Resource Provisioning and Its Impact on QoS Parameters in the Cloud Environment

10.11591/ijece.v8i6.pp5359-5370
Lata J Gadhavi , Madhuri D Bhavsar
The purpose of this paper is to provision the on demand resources to the end users as per their need using prediction method in cloud computing environment. The provisioning of virtualized resources to cloud consumers according to their need is a crucial step in the deployment of applications on the cloud. However, the dynamical management of resources for variable workloads remains a challenging problem for cloud providers. This problem can be solved by using a prediction based adaptive resource provisioning mechanism, which can estimate the upcoming resource demands of applications. The present research introduces a prediction based resource provisioning model for the allocation of resources in advance. The proposed approach facilitates the release of unused resources in the pool with quality of service (QoS), which is defined based on prediction model to perform the allocation of resources in advance. In this work, the model is used to determine the future workload prediction for user requests on web servers, and its impact toward achieving efficient resource provisioning in terms of resource exploitation and QoS. The main contribution of this paper is to develop the prediction model for efficient and dynamic resource provisioning to meet the requirements of end users.
Volume: 8
Issue: 6
Page: 5359-5370
Publish at: 2018-12-01

Enhancing the Performance of PV Panel Undergoing Shading Effects

10.11591/ijpeds.v9.i4.pp1937-1943
Monadhel Al-Chaderchi , K. Sopian , T. Salameh , D. Zhang , M. A. Alghoul
Experimental and simulation work were performed to study the effects of shading for different strings inside photovoltaic (PV) panels under real outdoor environmental climate conditions for Sharjah, United Arab Emirates. The electrical characteristics of PV panel were measured by using the PV analyzer, while the simulations were performed by MATLAB. The effect of full cell shading were studied experimentally for each configuration of two or four bypass diodes and verified by theoretical modeling. The I-V and P-V curves for all cases were recorded to investigate the effect of bypass diodes in reducing shading losses under similar environmental conditions. Compared to design with fewer bypass diodes, inserting more bypass diodes (four diodes in our work) contributed to higher yield in performance of solar PV panels undergoing shading while taking in to account the cost of energy production. Compared to the case of two bypass diodes, applying four diodes can recover up to ~31% of non-shaded maximum power under different cell shading conditions. 
Volume: 9
Issue: 4
Page: 1937-1943
Publish at: 2018-12-01

A Two Channel Analog Front end Design AFE Design with Continuous Time Σ-Δ Modulator for ECG Signal

10.11591/ijece.v8i6.pp5041-5049
Mohammed Abdul Raheem , K Manjunathachari
In this context, the AFE with 2-channels is described, which has high impedance for low power application of bio-medical electrical activity. The challenge in obtaining accurate recordings of biomedical signals such as EEG/ECG to study the human body in research work. This paper is to propose Multi-Vt in AFE circuit design cascaded with CT modulator. The new architecture is anticipated with two dissimilar input signals filtered from 2-channel to one modulator. In this methodology, the amplifier is low powered multi-VT Analog Front-End which consumes less power by applying dual threshold voltage. Type -I category 2 channel signals of the first mode: 50 and 150 Hz amplified from AFE are given to 2nd CT sigma-delta ADC. Depict the SNR and SNDR as 63dB and 60dB respectively, consuming the power of 11mW. The design was simulated in a 0.18 um standard UMC CMOS process at 1.8V supply. The AFE measured frequency response from 50 Hz to 360 Hz, depict the SNR and SNDR as 63dB and 60dB respectively, consuming the power of 11mW. The design was simulated in 0.18 m standard UMC CMOS process at 1.8V supply. The AFE measured frequency response from 50 Hz to 360 Hz, programmable gains from 52.6 dB to 72 dB, input referred noise of 3.5 μV in the amplifier bandwidth, NEF of 3.
Volume: 8
Issue: 6
Page: 5041-5049
Publish at: 2018-12-01
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