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28,188 Article Results

Artificial Bee Colony Algorithm for An Optimal Solution for Combined Economic and Emission Dispatch Problem

10.11591/ijape.v5.i3.pp111-119
Sandeep Bhongade , Sourabh Agarwal
In India Electrical Energy is generated mainly Coal based Thermal Power stations and hydro Electric Power Stations. The main aim of power generating company is to provide good quality and reliable power to consumers at minimum cost. The problem of Combined Economic and Emission Dispatch  deals with the minimization of both fuel cost and emission of pollutants such as oxides of Nitrogen and Oxides of Sulphur. In our power system the emission is major problem created that’s why in now a days we move from green energy source or renewable energy such as Sunlight, Wind, Tides, Wave, and Geothermal Heat Energy. The Emission constrained Economic Dispatch problem treats the emission limit as an additional constraint and optimizes the fuel cost. In this paper we optimizes the Combined Economic and Emission Dispatch problem by using two different optimization method such as Artificial Bee Colony (ABC) and Genetic Algorithm (GA).The proposed ABC Algorithm has been successfully implemented is to IEEE 30 bus and Indian Utility sixty two Bus System The simulation result are compare and found the effective algorithm for Combined Economic and Emission Dispatch problem.
Volume: 5
Issue: 3
Page: 111-119
Publish at: 2016-12-01

Optical Interconnect Waveguide in Electronic Circuit

10.11591/ijece.v6i6.pp2708-2715
Siti Sarah Binti Md Sallah , Sawal Hamid Md Ali , Nurjuliana Binti Juhari , P. Sushitha Menon , Md Shabiul Islam
The increasing demand in silicon nano-photonics has encouraged many researchers to put more efforts to explore the feasibility of using optics in the communication medium in order to replace the conventional electrical interconnects (EIs). In this paper, we proposed a SOI- based waveguide in the optical interconnect (OI) link at an operating frequency of 1550nm to work as an interconnection path in a circuit. The performance capability of the OI link was tested using a two-stage CE amplifier to work as the interconnection path from the 1st stage to the 2nd stage amplifier. In term of optical performances, the optical waveguide interconnect managed to achieve a single mode condition for a TE mode and fulfill the receiver sensitivity of a photodiode. While, in term of electrical performance, a two-stage CE amplifier is able to produce a high gain, a wide bandwidth and high slew rate. The proposed implementation of the OIs waveguide is succesfully enhance the performance of the two-stage CE amplifier as well as the analog electronic circuit applications.
Volume: 6
Issue: 6
Page: 2708-2715
Publish at: 2016-12-01

Evaluation of Various Digital Controllers for Forward Converter with Active Clamp

10.11591/ijece.v6i6.pp2846-2854
Ravindra Janga , Sushama Malaji
This research paper presents the design issues of digital Controllers for Forward Converter with Active Clamp circuit (ACFC). Brief review of Working Principle and mathematical modelling of the converter is first given. The importance of Digital Controllers for forward converter and design procedure is described in detail. And the validity of designed controllers and achievement of desired compensation is verified by the results of implemented digital controllers to Active clamp forward Converter (ACFC). Finallly results are analyzed by applying disturbances at both supply end and Load ends of the converter. And the conclusions are made based on obtained results of Voltage Mode Controller (VMC) by comparing with the results of the Current Mode Controller (CMC).
Volume: 6
Issue: 6
Page: 2846-2854
Publish at: 2016-12-01

Finding the Optimal Value for Threshold Cryptography on Cloud Computing

10.11591/ijece.v6i6.pp2979-2988
Weena Janratchakool , Sirapat Boonkrong , Sucha Smanchat
The objective of using threshold cryptography on cloud environment is to protect the keys, which are the most important elements in cryptographic systems. Threshold cryptography works by dividing the private key to a number of shares, according to the number of virtual machines, then distributing them each share to each virtual machine. In order to generate the key back, not all the shares are needed. Howerver, the problem is that there has been no research attemping to find a suitable threshold value for key reconstruction. Therefore, this paper presented a guildline designed and implemented that can assist to choose such value. The experiment was setup using CloudSim to simulate cloud environment and collecting time taken in key distribution and key reconstruction process to achieve the optimal threshold value.
Volume: 6
Issue: 6
Page: 2979-2988
Publish at: 2016-12-01

A Step Down Transformerless Single Switch Integerated Buck and Buck-Boost Converter

10.11591/ijape.v5.i3.pp144-150
P. Maithili , C. Tharani , J. Nivedha , D. Soundarrajan
This paper presents about the designing of the controller for integrated Buck Buck-Boost converter for maintaining the constant DC output voltage. This constant output voltage can be used for low voltage application. The absence of transformer includes the advantages of losses is less, efficient power factor and high efficiency. It provides the simple control structure with the positive constant output voltage .It operates on the closed loop with the designing of the PI controller for a MOSFET switch to provide the gate pulse. Whatever may be the input voltage it will produce the constant output voltage. The converter is successfully done by using MAT Lab/Simulink and verified the error reducing to negligible values.
Volume: 5
Issue: 3
Page: 144-150
Publish at: 2016-12-01

A Novel Human STR Similarity Method using Cascade Statistical Fuzzy Rules with Tribal Information Inference

10.11591/ijece.v6i6.pp3103-3111
M. Rahmat Widyanto , Reggio N. Hartono , Nurtami Soedarsono
A novel human STR (Short Tandem Repeat) similarity method using cascade statistical fuzzy rules with tribal information inference is proposed. The proposed method consists of two cascade Fuzzy Inference Systems (FIS). The first FIS is to discriminate the tribal similarity, and the second FIS is to calculate the STR similarity. By using the allele marker’s statistical distribution probability density function as the membership function in the Fuzzy Rules of the first FIS, the new method makes it possible to tell the tribal similarity between two STR profiles. A 727 data acquired from tribal groups of Indonesia is used to examine the method produced promising result, being able to indicate higher tribal similarity score within a tribal group and lower similarity between tribal groups. In the light of Indonesia’s diverse tribal groups, these properties are able to be leveraged as a new way to improve the versatility of existing DNA matching algorithm.
Volume: 6
Issue: 6
Page: 3103-3111
Publish at: 2016-12-01

Low Common-Mode Gain Instrumentation Amplifier Architecture Insensitive to Resistor Mismatches

10.11591/ijece.v6i6.pp3247-3254
Zainul Abidin , Koichi Tanno , Shota Mago , Hiroki Tamura
In this paper, an instrumentation amplifier architecture for biological signal is proposed. First stage of conventional IA architecture was modified by using fully balanced differential difference amplifier and evaluated by using 1P 2M 0.6μm CMOS process. From HSPICE simulation result, lower common-mode voltage can be achieved by proposed IA architecture. Actual fabrication was done and six chips were evaluated. From the evaluation result, average common-mode gain of proposed IA architecture is 10.84 dB lower than that of conventional one without requiring well-matched resistors. Therefore, the proposed IA architecture is suitable for biological signal processing.
Volume: 6
Issue: 6
Page: 3247-3254
Publish at: 2016-12-01

Mining Top-K Click Stream Sequences Patterns

10.11591/ijeecs.v4.i3.pp655-664
MEHDI Haj Ali , Qun-Xiong Zhu , Yan-Lin He
Sequential pattern mining, it  is not just important in data mining field , but  it is the basis of many applications .However, running applications cost time and memory, especially when dealing with dense of the dataset. Setting the proper minimum support threshold is one of the factors that consume more memory and time. However ,  it is difficult for users to get the appropriate patterns, it may present too many sequential patterns  and makes it difficult for users to comprehend the results. The problem becomes worse and worse when dealing with long click stream sequences or huge dataset. As a solution, we developed an efficient algorithm, called TopK (Top-K click stream sequence pattern mining), which employs the output as top-k patterns , K is the most important and relevant frequencies (with a high support) . However ,our algorithm based on pseudo-projection to avoid consuming more time and memory, and uses several efficient search space pruning methods together with BI-Directional Extension. Our extensive study and experiments on real click stream datasets show TopK significantly outperforms the previous algorithms.
Volume: 4
Issue: 3
Page: 655-664
Publish at: 2016-12-01

Simulation and Performance Evaluation of Shunt Hybrid Power Filter for Power Quality Improvement Using PQ Theory

10.11591/ijece.v6i6.pp2603-2609
R. Balasubramanian , S. Palani
This work proposes the design of shunt hybrid filter using instantaneous power theory to improve the power quality and simulation has been carried out for 3 phase distribution system feeding different types of non linear loads. The proposed filter consists of parallel combination of 5th and 7th tuned selective harmonic elimination passive filters, which is connected in series with a small rating IGBTs based voltage source inverter. In this work, principle of compensation and filtering behavior of the system has been discussed in detail. Instantaneous real and reactive power theory based controller has been designed to estimate the reference current from the distorted current. In order to reduce the harmonics, generated reference currents are tracked by voltage source inverter using hysteresis band current controller. The performance of the hybrid scheme is evaluated for various nonlinear loads using Matlab/ Simulink tool. The detailed analysis has been carried out on harmonics reduction and DC bus voltage regulation and the simulation result ensures the feasibility of suggested control strategy. The proposed topology improves the filtering performance of the passive filter in hybrid scheme.
Volume: 6
Issue: 6
Page: 2603-2609
Publish at: 2016-12-01

An Analytical Approach for DG Placement in Reconfigured Distribution Networks

10.11591/ijape.v5.i3.pp137-143
Sarfaraz Nawaz , Ajay Bansal , M. P. Sharma
A novel approach is proposed in this paper for optimal placement of DG units in reconfigured distribution system with the aim of reduction of real power losses while satisfying operating constraints. The proposed analytical method for optimal DG placement is developed based on a new mathematical formulation. Type-I and type-II DG units are used here. The results of the proposed technique are validated on IEEE 69 bus distribution system. The level of DG penetration is also considered in a range of 0–50% of total system load. A novel index is also proposed which incorporates level of DG penetration and percentage reduction in real power losses. The results are promising when compared with recently proposed algorithms.
Volume: 5
Issue: 3
Page: 137-143
Publish at: 2016-12-01

Real Time Weed Detection using a Boosted Cascade of Simple Features

10.11591/ijece.v6i6.pp2755-2765
Adil Tannouche , Khalid Sbai , Miloud Rahmoune , Rachid Agounoun , Abdelhai Rahmani , Abdelali Rahmani
Weed detection is a crucial issue in precision agriculture. In computer vision, variety of techniques are developed to detect, identify and locate weeds in different cultures. In this article, we present a real-time new weed detection method, through an embedded monocular vision. Our approach is based on the use of a cascade of discriminative classifiers formed by the Haar-like features. The quality of the results determines the validity of our approach, and opens the way to new horizons in weed detection.
Volume: 6
Issue: 6
Page: 2755-2765
Publish at: 2016-12-01

Enhancing the Accuracy of Mobile Geo Targeting

10.11591/ijece.v6i6.pp2887-2890
Dmitry Sergeevich Silnov
SMS advertising companies use mobile phone numbers to send its own content. Geo targeting can improve advertising possibilities. New approach of mobile numbers geo targeting discovered and used in Russia. That approach can be used not only in Russia, but its universal for any country. For Russian geo targeting used site avito.ru for attaching mobile to selected area in city.
Volume: 6
Issue: 6
Page: 2887-2890
Publish at: 2016-12-01

Trends In Task Allocation For Multicore System

10.11591/ijece.v6i6.pp3018-3030
Arun Kumar Sundar Rajan , Shriram K Vasudevan , Nirmala Devi M
As the functionality in real-time embedded systems becoming complex, there has been a demand for higher computation capability, exploitation of parallelism and effective usage of the resources. Further, technological limitations in uniprocessor in terms of power consumption, instruction level parallelism reaching saturation, delay in access of memory blocks; directed towards emergence of multicore. Multicore design has its challenges as well. Increase in number cores has raised the demand for proper load distribution, parallelizing existing sequential codes, enabling effective communication and synchronization between cores, memory and I/O devices. This paper brings out the demand for effective load distribution with analyzes and discussion about the various task allocation techniques and algorithms associated with decentralized task scheduling technique for multicore systems. This paper also addresses on the multithreaded architecture, where parallel tasks are formulated from sequential code blocks and finally on the techniques to parallelize the sequential code block.
Volume: 6
Issue: 6
Page: 3018-3030
Publish at: 2016-12-01

Collaboration Management System between the Device based on Machine Socialization

10.11591/ijece.v6i6.pp3148-3153
Han Kyung Kim , In Shik Kang , Wung Jun Kim , Hoe Kyung Jung
The basis of IoT is in the interconnection and communication between different devices to achieve common goals through internet. These devices are interconnected through a network which enables communication within these devices without any direct human intervention. But with such great potential, this technology reached a road-block due to incompatibility within various manufacturers of the same type of device and proprietary standards. I started this project with this problem in mind and I have created a brand and platform independent machine socialization device manager system. In this paper, to overcome the above mentioned problem, I have utilized micro controllers to connect to various existing device to solve the problem and propose a device to device communication with collaboration management. This technology is not restricted to usage in only the new network module enabled smart devices but also this can be used to operate the existing old (not smart) home appliances. Machine socialization was made possible with the use of XML, (an internet standard schema language) which we have used to gather device, task and relationship information of all the devices to show schema information.
Volume: 6
Issue: 6
Page: 3148-3153
Publish at: 2016-12-01

Optimal Location of SVC using Particle Swarm Optimization and Voltage Stability Indexes

10.11591/ijece.v6i6.pp2581-2588
M.N. Dazahra , F. Elmariami , A. Belfqih , J. Boukherouaa
Flexible AC transmission system are widley used in power sytems to ensure voltage stability, in virtue of their high cost the choise of the best location in electrical network is essential. The porpose of this paper is to present a new method for finding the optimal location, size and number of Static Var Compensator in order to enhace the voltage stability of electrical network. The optimal solution has been found by using the evolutionary programming algorithm, particle swarm optimization, combined with voltage stability indexes used for the estimation of the voltage collapse in power systems.The proposed algorithm has been validated by application on both simulation network model IEEE 30-Buses under different load cases and the electric network model of Casablanca region in Morocco.The results of the application have been analysed and compared in each case in order to get the optimal number of Static Var Compensator to be used.
Volume: 6
Issue: 6
Page: 2581-2588
Publish at: 2016-12-01
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