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28,428 Article Results

Exploring the Design Space of HEVC Inverse Transforms with Dataflow Programming

10.11591/ijeecs.v6.i1.pp104-109
Khoo Zhi Yion , Ab Al-Hadi Ab Rahman
This paper presents the design space exploration of the hardware-based inverse fixed-point integer transform for High Efficiency Video Coding (HEVC). The designs are specified at high-level using CAL dataflow language and automatically synthesized to HDL for FPGA implementation. Several parallel design alternatives are proposed with trade-off between performance and resource. The HEVC transform consists of several independent components from 4x4 to 32x32 discrete cosine transform and 4x4 discrete sine transform. This work explores the strategies to efficiently compute the transforms by applying data parallelism on the different components. Results show that an intermediate version of parallelism, whereby the 4x4 and 8x8 are merged together, and the 16x16 and 32x32 merged together gives the best trade-off between performance and resource. The results presented in this work also give an insight on how the HEVC transform can be designed efficiently in parallel for hardware implementation.
Volume: 6
Issue: 1
Page: 104-109
Publish at: 2017-04-01

A Training Monitoring System for Cyclist Based on Wireless Sensor Networks

10.11591/ijeecs.v6.i1.pp80-87
N. M. Abdul Latiff , M. A. Ruslee , S. K. Syed Yusof , M. R. Abdul Rahim , H. Sayuti , K. Mohamad Yusof , M. A. Baharudin
This paper presents a training monitoring system for cyclist that is based on the technology of wireless sensor networks (WSNs). A stable and reliable wireless cyclist monitoring system is vital to establish a smart and efficient sports management program. A training monitoring system has been developed and tested in a real cyclist training environment in a velodrome. The system is designed is such a way that the packet loss rate is minimum. Using TelG mote as the basis, customized sensor nodes that function as a forwarder node and the relay nodes are developed to form the WSN. This WSN is linked to the cloud network on the Internet. The cloud network is then established and end users application for data accessing is designed. Several experiments have been conducted in a real scenario in a velodrome to measure the reliability of the system architecture. It is shown from the experiments that the proposed system is reliable even when the cyclist is moving at a high speed. The packet loss is less than 2% which does not give a huge impact to the data transmission.
Volume: 6
Issue: 1
Page: 80-87
Publish at: 2017-04-01

Maintenance and Safety Requirements of Flameproof and Intrinsically Safe Equipment for Coal Mines

10.11591/ijeecs.v6.i1.pp9-15
B. Ahirwal , Arvind kumar singh , Rajendra kumar vishwakarm
In the generation of the new technology segment, new explosionproof (Ex) equipment are being installed to make systems suitable for use in hazardous areas of mines. Generally, 80-90% equipment having flameproof (Exd) and intrinsic safety (Exi) methodology of protection are used in the mines for safe operation. The maintenance and safety are two vital parameters to improve the system efficiency of installation in the mines. These parameters are also responsible for the productivity of the mines. The minimum breakdown and maximum safety are the prime concerns of the mines to increase the production. Many observations and basic knowledge are necessary of safety parameters of Ex protections while doing maintenance because micro joules energy is sufficient to ignite the hazardous areas of mines. Trained and skilled personals having good knowledge of Ex protections are required to maintain the limitations of ignition energy sources of Ex equipment to prevent explosion in the mines. A regular and organized scheme of inspection and maintenance may ensure continued, satisfactory and safe operation of Ex electrical equipment in mines. The important points for safety and maintenance of Exd and Exi equipment are pondered in this paper.
Volume: 6
Issue: 1
Page: 9-15
Publish at: 2017-04-01

Vertical Information System: A Case Study of Civil Servant Teachers’ Data in Manado City

10.11591/ijeecs.v6.i1.pp42-49
Julyeta P.A. Runtuwene , Irene R.H.T Tangkawarow
Information systems have become important factors in a company, where information systems are useful in providing useful information for the company itself. The information system helps companies implement corporate activities at the beginning of the process until the decision making. In the concept Information system, we know the term of vertical information system, which is another strategy for increasing vertical information capacity. Vertical information system includes the periodic report, written information, and computer-based communications distributed to managers. In this article, discusses the approach in the development of vertical information system which will be preceded by comparison of operational systems, management information systems, and business intelligence systems. We will give explanations about the role in the BI system in an organization, the challenges faced in the implementation of vertical information systems, approaches in vertical information systems, approaches that we choose, and how it implement in  civil servant teachers data in Manado City. 
Volume: 6
Issue: 1
Page: 42-49
Publish at: 2017-04-01

Low-rank Matrix Optimization for Video Segmentation Research

10.11591/ijeecs.v6.i1.pp36-41
Caiyun Huang , Guojun Qin
This paper investigates how to perform robust and efficient unsupervised video segmentation while suppressing the effects of data noises and/or corruptions. The low-rank representation is pursued for video segmentation. The supervoxels affinity matrix of an observed video sequence is given, low-rank matrix optimization seeks a optimal solution by making the matrix rank explicitly determined. We iteratively optimize them with closed-form solutions. Moreover, we incorporate a discriminative replication prior into our framework based on the obervation that small-size video patterns, and it tends to recur frequently within the same object. The video can be segmented into several spatio-temporal regions by applying the Normalized-Cut algorithm with the solved low-rank representation. To process the streaming videos, we apply our algorithm sequentially over a batch of frames over time, in which we also develop several temporal consistent constraints improving the robustness. Extensive experiments are on the public benchmarks, they demonstrate superior performance of our framework over other approaches.
Volume: 6
Issue: 1
Page: 36-41
Publish at: 2017-04-01

Self-Healing Properties of Silicone Rubber Against Relative Humidity and Nanofiller

10.11591/ijeecs.v6.i1.pp166-171
Izzah Hazirah Zakaria , Muhammad Taufik Kamaruddin , Yanuar Z. Arief , Mohd Hafizi Ahmad , Noor Azlinda Ahmad , Nor Asiah Muhamad , Zuraimy Adzis
A well-prepared abstract enables the reader to identify the basic content of a document quickly and accurately, to determine its relevance to their interests, and thus to decide whether to read the document in its entirety. The Abstract should be informative and completely self-explanatory, provide a clear statement of the problem, the proposed approach or solution, and point out major findings and conclusions. The Abstract should be 100 to 150 words in length. The abstract should be written in the past tense. Standard nomenclature should be used and abbreviations should be avoided. No literature should be cited. The keyword list provides the opportunity to add keywords, used by the indexing and abstracting services, in addition to those already present in the title. Judicious use of keywords may increase the ease with which interested parties can locate our article.
Volume: 6
Issue: 1
Page: 166-171
Publish at: 2017-04-01

A Compact CPW-Fed Curved Meander Line Monopole Antenna (MLMA) for GSM Application

10.11591/ijeecs.v6.i1.pp207-211
Nor Afifah Borhan , Noor Asniza Murad
Monopole antenna is widely used in many communication systems especially in broadcasting where omnidirectional pattern allow the 360-degree coverage. However, at low frequency the conventional design may require miniaturization to fit in versatile spaces. Thus, this paper discusses a low cost, compact CPW-fed curved meander line monopole antenna (MLMA) designed to operate at 0.9 GHz GSM band. The overall dimension is 25mm x 80mm. The antenna is well matched at required GSM band with the bandwidth from 0.88 GHz to 0.93 GHz. Comparison between the conventional MLMA and curved (MLMA) is made in term of return loss and gain. It was found that the curved MLMA has a better gain compared to the conventional MLMA which is 1.472 dB.
Volume: 6
Issue: 1
Page: 207-211
Publish at: 2017-04-01

Recursive Subspace Identification Algorithm using the Propagator Based Method

10.11591/ijeecs.v6.i1.pp172-179
Irma Wani Jamaludin Wani Jamaludin , Norhaliza Abdul Wahab
Subspace model identification (SMI) method is the effective method in identifying dynamic state space linear multivariable systems and it can be obtained directly from the input and output data. Basically, subspace identifications are based on algorithms from numerical algebras which are the QR decomposition and Singular Value Decomposition (SVD). In industrial applications, it is essential to have online recursive subspace algorithms for model identification where the parameters can vary in time. However, because of the SVD computational complexity that involved in the algorithm, the classical SMI algorithms are not suitable for online application. Hence, it is essential to discover the alternative algorithms in order to apply the concept of subspace identification recursively. In this paper, the recursive subspace identification algorithm based on the propagator method which avoids the SVD computation is proposed. The output from Numerical Subspace State Space System Identification (N4SID) and Multivariable Output Error State Space (MOESP) methods are also included in this paper.
Volume: 6
Issue: 1
Page: 172-179
Publish at: 2017-04-01

Compressed Sensing Speech Signal Enhancement Research

10.11591/ijeecs.v6.i1.pp26-35
Kuangfeng Ning , Guojun Qin
The proposed Compressive sensing method is a new alternative method, it is used to eliminate noise from the input signal, and the quality of the speech signal is enhanced with fewer samples, thus it is required for the reconstruction than needed in some of the methods like Nyquist sampling theorem. The basic idea is that the speech signals are sparse in nature, and most of the noise signals are non-sparse in nature, and Compressive Sensing(CS) eliminates the non-sparse components and it reconstructs only the sparse components of the input signal. Experimental results prove that the average segmental SNR (signal to noise ratio) and PESQ (perceptual evaluation of speech quality) scores are better in the compressed domain.
Volume: 6
Issue: 1
Page: 26-35
Publish at: 2017-04-01

Radiation Pattern Performance of Unequally Linear Arrays with Parasitic Element

10.11591/ijeecs.v6.i1.pp110-115
Noor Ainniesafina Zainal , Muhammad Ramlee Kamarudin , Yoshihide Yamada , Norhudah Seman
For next generation of 5G mobile base station antennas, multibeam, multifrequency and low sidelobe characteristics requested. Simplify the feeding network will contribute a low feeder loss and frequency dependent. From the previous research by the author, low sidelobe level reported by density tapered array configuration from -13 dB to -16 dB and the result maintained for wideband operation frequency at 28 GHz, 42 GHz, and 56 GHz. However, the grating lobe has occurred due to element spacing larger than a wavelength of higher frequency (56 GHz). In this paper, an investigation was made of the performance of radiation pattern for unequally microstrip linear array antenna in frequency 42 GHz and 56 GHz by loading parasitic elements. The effect of parasitic element to the impedance, gain, and sidelobe level of unequally microstrip linear spaced tapered array also examined. The design has been simulated using Ansoft High Frequency Structural Simulator (HFSS) ver 16.0.
Volume: 6
Issue: 1
Page: 110-115
Publish at: 2017-04-01

Mining Relation Extraction Based on Pattern Learning Approach

10.11591/ijeecs.v6.i1.pp50-57
Mujiono Sadikin
Semantically, objects in unstructured document are related each other to perform a certain entity relation. This certain entity relation such: drug-drug interaction through their compounds, buyer-seller relationship through the goods or services, etc. Motivated by those kind of interaction, this study proposes a method to extract those objects and their interactions. It is presented a general framework of object-interaction mining of large corpora. The framework is started with the initial step in extracting a single object in the unstructured document. In this study, the initial step is a pattern learning method that is applied to drug-label documents to extract drug-names. We utilize an existing external knowledge to identify a certain regular expressions surrounding the targeted object and the probabilities of those regular expression, to perform the pattern learning process. The performance of this pattern learning approach is promising to apply in this relation extraction area. As presented in the results of this study, the best f-score performance of this method is 0.78 f-score. With adjusting of some parameters and or improving the method, the performance can be potentially improved.
Volume: 6
Issue: 1
Page: 50-57
Publish at: 2017-04-01

A Comprehensive Review of Fault Location Methods for Distribution Power System

10.11591/ijeecs.v6.i1.pp185-192
N Gana , NF Ab Aziz , Z Ali , H Hashim , Bahisham Yunus
Fault on distribution system does not only affect the reliability of power supply, but also contribute to increasing operational and maintenance cost borne by the utilities. Throughout the years, various methods have been studied and practiced to solve problems related to the fault location in the distribution system. In this paper, the fault location methods are reviewed and summarised according to their categories. The fault location methods discussed in this paper are based on literature studies of outage mapping and field measurement for the distribution system. Furthermore, the component which influences the fault location methods such as unbalanced system, capacitance effects, distributed generation, and distribution topology are related to the explanation of the method. Finally, the field measurements are presented as in comparison which will clarify the effectiveness and the establishment of each method.
Volume: 6
Issue: 1
Page: 185-192
Publish at: 2017-04-01

FPGA Implementation of Real Time String Colour Detection

10.11591/ijeecs.v6.i1.pp139-147
Teo Sje Yin , P. Ehkan , Soon Voon Siew , Lam Chee Yuen , M. N.M.Warip
A Machine vision for string detection is useful technologies which benefit to the industries such as food production. It reduces the risk that can harmful to our health and it can do work more accurate and efficient. The algorithm used is a colour detection which determines the colour of string and background subtraction for filter process by using the threshold range values. The target of detection focuses on plastic string with two different colours; pink and yellow strings. The threshold values used in hardware detection are ranged from 158 to 175 and 3 to 35 for pink and yellow string colours, respectively. The result shows that an object tied with strings is able to be detected and captured by using this system. Overall, this project is successfully developed and achieved the goal for real time detecting a string which is implemented on FPGA.
Volume: 6
Issue: 1
Page: 139-147
Publish at: 2017-04-01

Optimal Allocation of Capacitor Bank in Radial Distribution System using Analytical Approach

10.11591/ijece.v7i2.pp748-753
Sarfaraz Nawaz , M.P. Sharma , Abhishek Gupta
In this paper, a novel analytical technique is proposed for optimal allocation of shunt capacitor bank in radial distribution system. An objective function is formulated to determine the optimal size, number and location of capacitor bank for real & reactive power loss reduction, voltage profile enhancement and annual cost saving. A new constant, Power Voltage Sensitivity Constant (PVSC), has been proposed here. The value of PVSC constant decides the candidate bus location and size. The achievability of the proposed method has been demonstrated on IEEE-69 bus and real distribution system of Jamawaramgarh, Jaipur city. The obtained results are compared with latest optimization techniques to show the effectiveness and robustness of the proposed technique.
Volume: 7
Issue: 2
Page: 748-753
Publish at: 2017-04-01

Utility Function-based Pricing Strategies in Maximizing the Information Service Provider’s Revenue with Marginal and Monitoring Costs

10.11591/ijece.v7i2.pp877-887
Robinson Sitepu , Fitri Maya Puspita , Anggi Nurul Pratiwi , Icha Puspita Novyasti
Previous research only focus on maximizing revenue for pricing strategies for information good with regardless the marginal and monitoring costs. This paper aims to focus on the addition of marginal and monitoring costs into the pricing strategies to maintain the maximal revenue while introduce the costs incurred in adopting the strategies. The well-known utility functions applied to also consider the consumer’s satisfaction towards the service offered. The results show that the addition costs incurred for setting up the strategies can also increase the profit for the providers rather than neglecting the costs. It is also showed that the Cobb-Douglas utility functions used can enhance the notion of provider to optimize the revenue compared to quasi linear and perfect substitutes.
Volume: 7
Issue: 2
Page: 877-887
Publish at: 2017-04-01
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