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31,377 Article Results

An Efficient Approach to Detecting Missing Tags in RFID Data Stream

10.11591/ijeecs.v11.i3.pp1204-1213
Nur’Aifaa Zainudin , Hairulnizam Mahdin , Deden Witarsyah , Mokhairi Makhtar , Mohd Izuan Hafez Ninggal , Zirawani Baharum
RFID technology is a Radio frequency identification system that provides a reader reading the data item from its tag. Nowadays, RFID system has rapidly become more common in our life because of its autonomous advantages compared to the traditional barcode. It can detect hundreds of tagged items automatically at a time. However, in RFID, missing tag detection can occur due to signal collisions and interferences. It will cause the system to report incorrect tag’s count due to an incorrect number of tags being detected. The consequences of this problem can be enormous to business, as it will cause incorrect business decisions to be made. Thus, a Missing Tag Detection Algorithm (MTDA) is proposed to solve the missing tag detection problem. There are many other existing approaches has been proposed including Window Sub-range Transition Detection (WSTD), Efficient Missing-Tag Detection Protocol (EMD) and Multi-hashing based Missing Tag Identification (MMTI) protocol. The result from experiments shows that our proposed approach performs better than the other in terms of execution time and reliability.
Volume: 11
Issue: 3
Page: 1204-1213
Publish at: 2018-09-01

Contact Lens Classification by Using Segmented Lens Boundary Features

10.11591/ijeecs.v11.i3.pp1129-1135
Nur Ariffin Mohd Zin , Hishammuddin Asmuni , Haza Nuzly Abdul Hamed , Razib M. Othman , Shahreen Kasim , Rohayanti Hassan , Zalmiyah Zakaria , Rosfuzah Roslan
Recent studies have shown that the wearing of soft lens may lead to performance degradation with the increase of false reject rate. However, detecting the presence of soft lens is a non-trivial task as its texture that almost indiscernible. In this work, we proposed a classification method to identify the existence of soft lens in iris image. Our proposed method starts with segmenting the lens boundary on top of the sclera region. Then, the segmented boundary is used as features and extracted by local descriptors. These features are then trained and classified using Support Vector Machines. This method was tested on Notre Dame Cosmetic Contact Lens 2013 database. Experiment showed that the proposed method performed better than state of the art methods.
Volume: 11
Issue: 3
Page: 1129-1135
Publish at: 2018-09-01

Long Reach and High Capacity Hybrid Passive Optical Network

10.11591/ijeecs.v11.i3.pp891-897
Subhashini N , Brintha Therese A
A number of applications are growing day by day and so the traffic. The need for bandwidth is also increasing at a rapid rate. The bandwidth and speed with which data can be transferred was very less when compared to core networks. The access network which was once a bottleneck is no longer so because of use of optic fiber (FTTH networks). A number of variants of Passive Optical Network (PON) have been proposed like the WDM PON and the Hybrid PON. Hybrid PON is a combination of TDM PON and WDM PON and is advantageous over WDMPON. This paper focuses on high capacity networks that can provide high data rate and long reach in the access part of the network. NRZ modulation format is normally used for transmission.  We consider the advantages provided by the advanced modulation formats like DPSK. This modulation format is used to here and its benefits are evaluated in Hybrid PON network to increase the capacity and the reach of the network. Parameters like the BER and the Q factors are analysed using Optisystem Software. Distortion and the phenomena of dispersion can limit the performance of such a system. Hence Dispersion compensation mechanisms like the Dispersion Compensation Fiber (DCF) are used in the system to transmit data over large distance.
Volume: 11
Issue: 3
Page: 891-897
Publish at: 2018-09-01

Knowledge-Attitudes-Practices about Malaria among Communities in Southern Benin

10.11591/ijphs.v7i3.14395
Germain Gil Padonou , Judith G. Gbenoudon , Razaki Osse , Albert Salako , Casimir Kpanou , Herman Sagbohan , Virgile Gnanguenon , Frederick Oke Agbo , Olivier Oussou , Martin Codjo Akogbeto
Malaria still remains the main public health problem in Benin. We explored the determinants that influenced malaria treatment as well as protective behaviors, to generate a framework of useful ideas as alternative strategies against malaria. A cross-sectional survey of the knowledge, attitudes and practices (KAP) was conducted at Hozin, Vakon and Agblangandan districts in southern region of Benin. Descriptive statistics were computed and mixed logistic regression helped evaluating the relationship between frequency of each category of severity of malaria and sex group, educational level, treatment, means of self-protection against mosquitoes and identification of the cause of malaria. A significant proportion 750 (81.3%) (p<0.001) of participants stated that malaria was caused by mosquitoes. The respondents who mentioned sun as the cause of malaria, have trivialized more malaria in a proportion of about 59.30% (OR=2.67 [95% CI 1.61-4.44]) followed by those who have reported the cause of body weakness (43.68%) (OR=2.97 [95% CI 1.68-5.28]). Poor knowledge justifies the trivialization of the disease and poor management of malaria control means. National Malaria Control Programs should improve access to education, especially for women and could help improving prevention and control behaviours against malaria in communities.
Volume: 7
Issue: 3
Page: 186-193
Publish at: 2018-09-01

Forecasting Drought Using Modified Empirical Wavelet Transform-ARIMA with Fuzzy C-Means Clustering

10.11591/ijeecs.v11.i3.pp1152-1161
Muhammad Akram Shaari , Ruhaidah Samsudin , Ani Shabri Ilman
Drought forecasting is important in preparing for drought and its mitigation plan. This study focuses on the investigating the performance of Auto Regressive Integrated Moving Average (ARIMA) and Empirical Wavelet Transform (EWT)-ARIMA based on clustering analysis in forecasting drought using Standard Precipitation Index (SPI). Daily rainfall data from Arau, Perlis from 1956 to 2008 was used in this study. SPI data of 3, 6, 9, 12 and 24 months were then calculated using the rainfall data. EWT is employed to decompose the time series into several finite modes. The EWT is used to create Intrinsic Mode Functions (IMF) which are used to create ARIMA models. Fuzzy c-means clustering is used on the instantaneous frequency given by Hilbert Transform of the IMF to create several clusters. The objective of this study is to compare the effectiveness of the methods in accurately forecasting drought in Arau, Malaysia. It was found that the proposed model performed better compared to ARIMA and EWT-ARIMA.
Volume: 11
Issue: 3
Page: 1152-1161
Publish at: 2018-09-01

Novel Zeta Converter With Multi Level Inverter Connected To Grid

10.11591/ijeecs.v11.i3.pp814-820
Suresh P
The usage of multilevel inverter has increased in a drastic manner for the past years. These novel  inverters are useful in various mega power applications. As they are have the ability to change the output waveforms, they are having good harmonic distortions and better output results. This work proposes a novel five level asymmetrical  inverter which is incorporated with the zeta converter. Comparison is made with the existing multilevel inverter with the proposed system. The simulation results give the proposed system has less THD[1] when compared to the existing inverters. The main objective is that the number of switches and capacitors are reduced which in turn reduces the loss and the cost. From the output results is has been proved that the proposed topology gives reduced loss and high quality output when compared with the conventional methods.
Volume: 11
Issue: 3
Page: 814-820
Publish at: 2018-09-01

Quality of Care Received by Children from 1 to 23 Months: Realities in The City of Antananarivo

10.11591/ijphs.v7i3.14066
Fidiniaina Mamy Randriatsarafara , Domoina Zafindrasoa Rakotovao-Ravahatra , Lantonirina Ravaoarisoa , Ando Faramalalatiana Rafanomezantsoa , Jean De Dieu Marie Rakotomanga , Vahiniarison Dieudonné Randrianarimanana
Children's health depends on the proper care they receive from their mothers. This study aims to describe the quality of care received by children from 1 to 23 months in the city of Antananarivo. This is a cross-sectional and analytical study for a period from December 2016 to April 2017 in the city of Antananarivo which is the capital of Madagascar. The study population was made up of 420 mother-child dyads living in the city of Antananarivo. Regarding the care received by children, 47.6%, 95% Confidence Interval (CI) [42.8–52.4] benefit from quality nutrition care, 92.3%, 95% CI [89.8-94.8], have a social care and 45.5%, 95% CI [40.9–50.5] receive health care. The hygiene of life 66.4%, 95% CI [61.6–70.6] and the body hygiene 35.3%, 95% CI [30.6–39.8] improve as the child grows up. The care received by children was complete for the five types in 7.6%, 95% CI [5.1–10.1].  With regard to the profile of the mother, mothers under the age of 18 (OR=3.25, 95% CI [1.07-9.46]) and those who are single (OR=3.47, 95% CI [1.24-9.35]) offer more acceptable care to their infants. Infant care depends on the socio-economic and demographic profile of the mother. Thus, it is important to strengthen the communication strategy on infant first aid gestures and mothers' education on childcare.
Volume: 7
Issue: 3
Page: 157-161
Publish at: 2018-09-01

Survey On The Role Of IoT In Intelligent Transportation System

10.11591/ijeecs.v11.i3.pp936-941
Varun Chand H , Karthikeyan J
Precise and appropriate traffic related data allows travellers to choose suitable travelling modes, travelling paths, and departure time, which is crucial for the success of Intelligent Transportation System (ITS). With the growth of vehicles, the rate of pollution and consumption of fuel has increased, it also creates traffic congestions. For the recent years there has been a rapid growth in technology, which can be explored to solve traffic issues. However, depending upon the available technologies each countries ITS research area may be different. The objective of this literature review is to integrate ITS with internet of things and it also discusses the prospect of clustering, controller system, location identification and resource privacy in ITS.
Volume: 11
Issue: 3
Page: 936-941
Publish at: 2018-09-01

Comparative Analysis of SRAAA, SDSR, SAODV Routing Protocol for Video Streaming in MANET

10.11591/ijeecs.v11.i3.pp1075-1082
V.J. Chakravarthy
The most challenging concern in MANET is video streaming and it essentially exaggerated by these important factors such as fading, node mobility, interference, topology on change in dynamic, collusion, shadowing in multi-path etc. One of the very attractive and considered for many applications is Mobile Ad Hoc Networks (MANET).Routing Protocol is most significant element which is considered as the MANET. Though, the quite demanding task is video streaming over MANET. This paper have been investigated the analysis of routing protocols over MANET for video streaming. The comparison of the three routing protocols are Secure Dynamic Source Routing (SDSR), Secure Ad hoc On-demand Distance Vector (SAODV) and secured Right angled and Ant search routing Protocol (SRAAA) on the basis of various performance metrics such as Throughput, Packet Delivery Ratio (PDR), Delay, Packet Delivery Fraction (PDF), Energy Consumption, Link Failure and Packet Drop has been obtainable in this paper for supporting video streaming applications. Based on the compared stimulated results concluded that SRAAA routing protocol is comparatively better in performance of all metrics than the SAODV and SDSR routing protocols.
Volume: 11
Issue: 3
Page: 1075-1082
Publish at: 2018-09-01

Performance Improvement of MIMO-OSTBC System with BCH-TURBO Code In Rayleigh Fading Channel

10.11591/ijeecs.v11.i3.pp898-907
SOFI Naima , FATIMA Debbat , Fethi Tarik Bendimerad
Recently, OSTBCs has become a widespread technique for signal transmission over wireless channels because of their diversity gain, but there are not designed to achieve an additional coding gain. Hence, OSTBCs must be concatenated with an external code which allows a significant coding gain.FEC (forward error correction) is a technique used for detecting and possibly correcting errors that can occur when messages are transmitted through a digital communication system, also for rendering the information more reliable. Thus, with staffing these coding techniques that are able to reach Shannon limits, in  MIMO systems, better performances can be achieved by taking advantages of  diversity and coding gains. The objective of this paper is to compare different FEC codes in Rayleigh fading channel and propose an appropriate code for MIMO-OSTBC systems. The simulation results reveal the performance of the proposed model
Volume: 11
Issue: 3
Page: 898-907
Publish at: 2018-09-01

Challenging Issues in Automated Oil Palm Fruit Grading

10.11591/ijai.v7.i3.pp111-118
Gaurang S Patkar , Anjaneyulu G.S.G.N , Chandra Mouli P.V.S.S.R
Late advancement in Agriculture segment utilizing Image preparing and fuzzy logic methods has empowered ranchers to expand the yield of harvest and served the nourishment needs of the whole people. Look into in horticulture is pointed towards increment in the profitability, quality and lessening the likelihood of blunder presented by people. The biggest oil palm creation is in Malaysia and Indonesia and they send out palm oil to different nations on the planet. The most outrageous enthusiasm for palm oil is in India. This came to fruition India into Palm Oil advancement and era in various states . With a specific end goal to expand the efficiency of palm oil organic products, palm oil industry and in addition analysts utilizes different machine-vision systems to review the natural products. Tragically, the information caught and prepared is confronted with restricted learning and accuracy. There are a few difficulties required with the outline and usage of palm oil organic product reviewing. This paper introduces an outline of different Image handling and fuzzy logic methods, distinguishes and addresses testing issues in computerized palm natural product evaluating.
Volume: 7
Issue: 3
Page: 111-118
Publish at: 2018-09-01

Cube Arithmetic: Improving Euler Method for Ordinary Differential Equation using Cube Mean

10.11591/ijeecs.v11.i3.pp1109-1113
Nooraida Samsudin , Nurhafizah Moziyana Mohd Yusop , Syahrul Fahmy , Anis Shahida Niza binti Mokhtar
The Euler method is a first-order numerical procedure for solving Ordinary Differential Equation (ODEs) problems. It is an effective and easy method to solve initial value problems. Although Euler provides simple procedure for solving ODEs, there have been issues such as complexity, time of processing and accuracy that compelled the use of other, more complex, methods. Improvements to the Euler method have attracted much attention resulting in numerous modified Euler methods. This paper proposes Cube Arithmetic, a modified Euler method with improved accuracy. The efficiency of Cube Arithmetic was compared with Euler Arithmetic and tested using SCILAB against exact solutions. Results indicate that not only Cube Arithmetic provided solutions that are similar to exact solutions at small step size, but also at higher step size, hence producing more accurate results.
Volume: 11
Issue: 3
Page: 1109-1113
Publish at: 2018-09-01

Solving N-Queens Problem Using Subproblems based on Genetic Algorithm

10.11591/ijai.v7.i3.pp130-137
Ismail. A. Humied
Nowadays, permutation problems with large state spaces and the path to solution is irrelevant such as N-Queens problem has the same general property for many important applications such as integrated-circuit design, factory-floor layout, job-shop scheduling, automatic programming, telecommunications network optimization, vehicle routing, and portfolio management. Therefore, methods which are able to find a solution are very important. Genetic algorithm (GA) is one the most well-known methods for solving N-Queens problem and applicable to a wide range of permutation problems. In the absence of specialized solution for a particular problem, genetic algorithm would be efficient. But holism and random choices cause problem for genetic algorithm in searching large state spaces. So, the efficiency of this algorithm would be demoted when the size of state space of the problem grows exponentially. In this paper, the subproblems used based on genetic algorithm to cover this weakness. This proposed method is trying to provide partial view for genetic algorithm by locally searching the state space. This method works to take shorter steps toward the solution. To find the first solution and other solutions in N-Queens problem using proposed method: dividing N-Queens problem into subproblems, which configuring initial population of genetic algorithm. The proposed method is evaluated and compares it with two similar methods that indicate the amount of performance improvement.
Volume: 7
Issue: 3
Page: 130-137
Publish at: 2018-09-01

Analysing Event-Related Sentiments on Social Media with Neural Networks

10.11591/ijai.v7.i3.pp119-124
P. Santhi Priya , T. Venkate swara Rao
Sentiment analysis is performed to determine the polarity of opinion on a subject. It has been applied to text corpora such as movie reviews, financial documents to glean information about overall-sentiment anc produce actionable data. Recent events have demonstrated that polling can be sometimes unreliable. People can be difficult to access through conventional polling methods and less than frank in polls. In the era of social media, voters are likely to more freely express their opinion on social media forums about divisive events especially in media where anonymity exists. Analyzing the prevailing opinion on these forums can indicate if there are any deficiencies in polling and can be a valuable addition to conventional polling. We analyzed text corpora from Reddit forums discussing the recent referendum in Britain to exit from the EU (known as Brexit). Brexit was an important world event and was very divisive in the run-up and post vote. We analyzed sentiment in two ways: Initially we tried to gauge positive, negative, and neutral sentiments. In the second analysis, we further split these sentiments into six different polarities based on the directionality of the positive and negative sentiments (for or against Brexit). Our technique utlilized paragraph vectors (Doc2Vec) to construct feature vectors for sentiment analysis with a Multilayer Perceptron classifier. We found that the second analysis yielded overall better results; although, our classifier didn’t perform as well in classifying positive sentiments. We demonstrate that it is possible glean valuable information from complicated and diverse corpora such as multi-paragraph comments from reddit with sentiment analysis.
Volume: 7
Issue: 3
Page: 119-124
Publish at: 2018-09-01

Design Process to Reduce Production Cycle Time in Product Development

10.11591/ijai.v7.i3.pp125-129
Mahesh Mallampati , Kolla Srivinivas , Tirumala Krishna. M
In today’s business climate, the old adage “time is money” has been expanded to mean that time is competitive weapon. Today customer’s demands are quick delivery and good quality at reasonable price. When entering the global market the companies encounter several difficulties, the most important one being excessive time for new product development. Thus to perform in a global market, short lead times are essential to provide customer satisfaction. Lead time in manufacturer point of view is the time elapse between placing of an order and the receipt of goods ordered. There are various components of lead time such as setup time, process time, move time and waiting time. This paper deals with review of various tools and techniques to reduce lead time. This problem can be solved by transition from sequential engineering to concurrent engineering, A survey of published works in the field of designing teams in big companies has revealed that in big companies a three-level team structure is recommended, as well as a workgroup, consisting of four basic teams. Method study techniques use to examine current way of work and develop effective method base on elimination, combining, changing and simplification of activities. Various lean tools such as Single Minute Exchange of Dies (SMED), 5S, Poka-yoke, Kanban, Just-in-time (JIT), Value Stream Mapping (VSM), Jidoka, Cellular manufacturing etc. helps in reducing lead time. Also Manufacturing Resource Planning (MRPII), Theory of Constraints (TOC) classic approaches of Production Planning and Control (PPC) are use to reduce Work in Process (WIP) and flow time.
Volume: 7
Issue: 3
Page: 125-129
Publish at: 2018-09-01
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