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29,325 Article Results

Routing Protocols for Mobile Ad Hoc Network - A Survey and Analysis

10.11591/ijeecs.v7.i3.pp795-801
Rahul M Desai , B P Patil , Davinder Pal Sharma
Ad hoc networks are mobile wireless networks where each node is acting as a router. The existing routing protocols such as Destination sequences distance vector, Optimized list state routing protocols, Ad hoc on demand routing protocol, Ad hoc on demand multipath routing protocol, Dynamic source routing are optimized versions of distance vector or link state routing protocols.  In this paper, existing protocols such as DSDV, AODV, AOMDV, OLSR and DSR are analyzed on 50 nodes Mobile Ad Hoc network with random mobility. Packet delivery ratio, delay, control overhead and throughput parameters are used for performance analysis.
Volume: 7
Issue: 3
Page: 795-801
Publish at: 2017-09-01

Incidence and Predictors of Tuberculosis among Adult PLWHA at Public Health Facilities of Hawassa City

10.11591/ijphs.v6i3.9294
Henok Bekele , Mesfin Kote , Aman Yesuf , Tadele Girum
Tuberculosis (TB) is the most frequently diagnosed opportunistic infection (OI) and disease in people living with HIV/AIDS (PLWHA), world-wide. This study aimed at determining the incidence and predictors of tuberculosis among people living with HIV.A Six year retrospective follow up study was conducted among adult PLHIV. The Cox proportional hazards model was used to identify predictors.A total of 554 patients were followed and produced 1830.3 person year of observation. One hundred sixty one new TB cases occurred during the follow up period. The overall incidence density of TB was 8.79 per 100 person-year (PY). It was high (148.71/100 PY) in the first year of enrolment. The cumulative proportion of TB free survival was 79% and 67% at the end of first and sixth years, respectively. Not having formal education(AHR=2.68, 95%CI: 1.41, 5.11 ), base line WHO clinical stage IV (AHR = 3.22, 95% CI=1.91-5.41), CD4 count <50 cell/ul  (AHR=2.41, 95%CI=1.31, 4.42), Being bed redden (AHR= 2.89, 95%CI=1.72, 3.78), past TB history (AHR=1.65, 95% CI = 1.06,2.39), substance use (AHR=1.46, 95% CI=1.03,2.06) and being on pre ART (AHR=1.62, 95%CI:1.03-2.54 ) were independently predicted tuberculosis occurrence. Advanced WHO clinical stage, limited functional status, past TB history, addiction and low CD4 (<50cell/ul) count at enrollment were found to be the independent predictor of tuberculosis occurrence. Therefore early initiation of treatment and intensive follow up is important.
Volume: 6
Issue: 3
Page: 266-274
Publish at: 2017-09-01

Performance of Parallel Computing in Bubble Sort Algorithm

10.11591/ijeecs.v7.i3.pp861-866
Rihartanto Rihartanto , Arief Susanto , Ansar Rizal
The performance of an algorithm can be improved by using a parallel computing programming approach. In this study, the performance of bubble sort algorithm on various computer specifications has been applied. Experimental results have shown that parallel computing programming can save significant time performance by 61%-65% compared to serial computing programming.
Volume: 7
Issue: 3
Page: 861-866
Publish at: 2017-09-01

Dietary Diversity Practice and Associated Factors Among Infants and Young Children in Haramaya Town, Ethiopia

10.11591/ijphs.v6i3.9295
Berhe Gebremichael , Gudina Egata , Nega Assefa
Optimum child feeding is crucial for growth, development, and better health in later life. Dietary diversity is a critical part of the feeding practices. However, there is limited evidence on dietary diversity practice in low-income countries, like Ethiopia. This study assessed dietary diversity practice and associated factors among mothers of infants and young children aged 6-23 months in Haramaya Town, Eastern Ethiopia. Community based cross-sectional study design was used and study participants were selected by simple random sampling. Data were collected using a pre-tested questionnaire by face-to-face interview. The collected data were entered to EpiData version 3.1 and exported to SPSS version 22.0 for analysis. Characteristics of the study participants were described by using frequencies, percentages, summary measures, and tables. Bi-variable and multi-variable analyses were used to identify the associated factors. Statistical significance was declared at p-value < 0.05. The study included 635 participants yielding to a response rate of 98.1%. The prevalence of dietary diversity practice was 25.2%. Mothers learned up to secondary level or above [(AOR=2.97, 95% CI: (1.26, 6.99)], mothers who had job [(AOR=3.21, 95% CI: (1.41, 7.29)], older children [(AOR=2.51, 95% CI: (1.45, 4.34)], male children [(AOR= 2.08, 95% CI: (1.29, 3.33)], healthy children [(AOR=2.65, 95% CI: 1.36, 5.16)] and richest households [(AOR=4.45, 95% CI: 1.94, 10.22)] were associated with dietary diversity practice. Generally, the dietary diversity practice was low. Therefore, attention should be given to mothers with no formal education and efforts should be done to improve the socioeconomic status of the households.
Volume: 6
Issue: 3
Page: 243-250
Publish at: 2017-09-01

Developing a Modified HMAX Model Based on Combined with the Visual Featured Model

10.11591/ijeecs.v7.i3.pp773-785
Yaghoub Pourasad
Identify objects based on modeling the human visual system, as an effective method in intelligent identification, has attracted the attention of many researchers. Although the machines have high computational speed but are very weak as compared to humans in terms of diagnosis. Experience has shown that in many areas of image processing, algorithms that have biological backing had more simplicity and better performance. The human visual system, first select the main parts of the image which is provided by the visual featured model, then pays to object recognition which is a hierarchical operations according to this, HMAX model is also provided. HMAX object recognition model from the group of hierarchical models without feedback that its structure and parameters selected based on biological characteristics of the visual cortex. This model is a hierarchical model neural network with four layers, is composed of alternating layers that are simple and complex. Due to the high complexity of the human visual system is virtually impossible to replicate it. For each of the above, separate models have been proposed but in the human visual system, this operation is performed seamlessly, thus, by combining the principles of these models is expected to be closer to the human visual system and obtain a higher recognition rate. In this paper, we introduce an architecture to classify images based on a combination of previous work is based on the basic operation of the visual cortex. According to the results presented, the proposed model compared with the main HMAX model has a much higher recognition rate. Simulations was performed on the database of Caltech101.
Volume: 7
Issue: 3
Page: 773-785
Publish at: 2017-09-01

HABCO: A Robust Agent on Hybrid Ant-Bee Colony Optimization

10.12928/telkomnika.v15i3.3656
Abba Suganda; Bina Nusantara University Girsang , Chun-Wei; National Ilan University Tsai , Chu-Sing; National Cheng Kung University Yang
The purpose of this research is to generate a robust agent by combining bee colony optimization (BCO) and ELU-Ants for solving traveling salesman problem (TSP), called HABCO. The robust agents, called ant-bees, firstly are grouped into three types scout, follower, recruiter at each stages. Then, the bad agents are high probably discarded, while the good agents are high probably duplicated in earlier steps. This first two steps mimic BCO algorithm. However, constructing tours such as choosing nodes, and updating pheromone are built by ELU-Ants method.To evaluate the performance of the proposed algorithm, HABCO is performed on several benchmark datasets and compared to ACS and BCO. The experimental results show that HABCO achieves the better solution, either with or without 2opt.
Volume: 15
Issue: 3
Page: 1247-1256
Publish at: 2017-09-01

Learning Based Route Management in Mobile Ad-Hoc Networks

10.11591/ijeecs.v7.i3.pp718-723
Rahul M Desai , B P Patil , Davinder Pal Sharma
Ad hoc networks are mobile wireless networks where each node is acting as a router. The existing routing protocols such as Destination sequences distance vector, Optimized list state routing protocols, Ad hoc on demand routing protocol, dynamic source routing are optimized versions of distance vector or link state routing protocols.  Reinforcement Learning is new method evolved recently which is learning from interaction with an environment. Q Learning which is based on Reinforcement learning that learns from the delayed reinforcements and becomes more popular in areas of networking. Q Learning is applied  to the routing algorithms where the routing tables in the distance vector algorithms are replaced by the estimation tables called as Q values. These Q values are based on the link delay. In this paper, various optimization techniques over Q routing are described in detail with their algorithms.
Volume: 7
Issue: 3
Page: 718-723
Publish at: 2017-09-01

A Survey on Software Estimation Techniques in Traditional and Agile Development Models

10.11591/ijeecs.v7.i3.pp867-876
B. Prakash , V. Viswanathan
Software projects mostly exceeds budget, delivered late and does not meet with the customer’s satisfaction for years. In the past, many traditional development models like waterfall, spiral, iterative, and prototyping methods are used to build the software systems. In recent years, agile models are widely used in developing the software products. The major reasons are – simplicity, incorporating the requirement changes at any time, light-weight approach and delivering the working product early and in short duration. Whatever the development model used, it still remains a challenge for software engineer’s to accurately estimate the size, effort and the time required for developing the software system. This survey focuses on the existing estimation models used in traditional as well in agile software development.
Volume: 7
Issue: 3
Page: 867-876
Publish at: 2017-09-01

Comparative Analysis of Carrier based techniques for Single phase Diode Clamped MLI and Hybrid inverter with reduced components

10.11591/ijeecs.v7.i3.pp687-697
Nunsavath Susheela
The multilevel inverters have highly desirable characteristics in high power high voltage applications. The multilevel inverter was started first with diode clamped multilevel inverter. Later, various configurations have been came into existence for many applications. However the multilevel inverters have some demerits such as requiring higher number of components, PWM control method is complex and capacitor voltage balancing problem. The hybrid multilevel inverter presented in this paper has superior characteristics over conventional multilevel inverters. The hybrid multilevel inverter employs fewer components and less carrier signals when compared to conventional multilevel inverters. It consists of level generation and polarity generation stages which involves high frequency and low frequency switches. The complexity and overall cost for higher output voltage levels are greatly reduced. Implementation of single phase 7-level, 9-level and 11-level diode clamped multilevel inverter and hybrid multilevel inverter has been performed using sinusoidal pulse width modulation (SPWM) strategies i.e., phase disposition (PD), alternate phase opposition disposition (APOD). Also these techniques are compared in terms of total harmonic distortion (THD) for various modulation indices and observed to be greatly improved in case of hybrid inverter when compared to diode clamped inverter. The comparative study of performance for single phase diode clamped multilevel inverter and hybrid inverter is analyzed with different loads.  Simulation is performed using MATLAB/ SIMULINK. 
Volume: 7
Issue: 3
Page: 687-697
Publish at: 2017-09-01

Comparison of Surface Roughness Prediction with Regression and Tree Based Regressions During Boring Operation

10.11591/ijeecs.v7.i3.pp887-892
S. Surendar , M. Elangovan
Modern manufacturing methods permit the study and prediction of surface roughness since the acquisition of signals and its processing is made instantaneously. With the availability of better computing facilities and newer algorithms in the machine learning domain, online surface roughness prediction will lead to the manufacture of intelligent machines that alert the operator when the process crosses the specified range of roughness. Prediction of surface roughness by multiple linear regression, regression tree and M5P tree methods using multivariable predictors and a single response dependent variable Ra (surface roughness) is attempted. Vibration signal from the boring operation has been acquired for the study that predicts the surface roughness on the inner face of the workpiece. A machine learning approach was used to extract the statistical features and analyzed by four different cases to achieve higher predictability, higher accuracy, low computing effort and reduction of the root mean square error. One case among them was carried out upon feature reduction using Principle Component Analysis (PCA) to examine the effect of feature reduction.
Volume: 7
Issue: 3
Page: 887-892
Publish at: 2017-09-01

Sliding Mode Observers-based Fault Detection and Isolation for Wind Turbine-driven Induction Generator

10.11591/ijpeds.v8.i3.pp1345-1358
T. Sellami , H. Berriri , S. Jelassi , A. M. Darcherif , M. F. Mimouni
Inter-turn short-circuit (ITSC) faults on the induction machine has received much attention in the recent years. Early detection of such faults in wind turbine systems would allow to avoid fluctuation on wind power output and maintain the reliability level. In this paper, Sliding Mode Observers (SMO)-based fault detection and isolation method is developed for induction generator (IG)-based variable-speed grid-connected wind turbines. Firstly, the dynamic model of the wind turbine and IG was given and then, the control was made based on Maximum Power Point Tracking (MPPT) method. The IG closed-loop via Indirect Rotor Flux Oriented Control (IRFOC) scheme was also described. Hence, the performance of the wind turbine system and the stability of injected power to the grid were analyzed under the ITSC fault conditions. The control schemes were proved to be inherently unstable under the faulty conditions. Then, robust SMO were investigated to design an ITSC fault detection and isolation scheme. Finally, simulation results of ITSC detection and isolation in the variable-speed grid-connected wind turbine with affected IG confirm the theoretical development.
Volume: 8
Issue: 3
Page: 1345-1358
Publish at: 2017-09-01

Evaluation of Various Maintenance Strategies for Reliability Assessment of Thermal Power Plants

10.11591/ijeecs.v7.i3.pp617-624
Sima Zarei , Peiman Ghaedi-Kajuei
In recent years, the world has had a phenomenal economic growth due to the acquisition of innovative technologies and globalization. In the meantime, electrical power plants are regarded as a fundamental element in industrial and production, and any deficiency in supplying may lead to significant financial detriment. Regard to the deep dependency of modern lifestyle to electricity, providing a high-quality and reliable electricity for consumers has taken on paramount importance. The reliability of a power plant depends on the configuration of elements and the reliability of each utility. The reliability, continuous service, flexibility in operation, simplicity, maintenance, development availability, meeting required standards etc. constitute the decisive factors for selection of a utility. Hence, each component of a power system must maintain the adequate level of reliability. In general, the maintenance approaches are classified into two parts: 1- The maintenance which must be carried out within determined and specified time intervals; 2- The maintenance which must be performed when required or in emergencies. To evaluate the maintenance and its effect on reliability, two types of deterministic and probabilistic approaches are presented. In this paper, a comprehensive description of both models is issued, and a detailed comparison is drawn. The results obviously show that the probabilistic models have considerable priority to deterministic models regard to their abilities for maximization of reliability or minimization of costs.
Volume: 7
Issue: 3
Page: 617-624
Publish at: 2017-09-01

Fractional Order PID Controlled PV Buck Boost Converter with Coupled Inductor

10.11591/ijpeds.v8.i3.pp1401-1407
Vanitha D , M. Rathinakumar
Buck-boost converter is a good interface between PV and the load. This paper deals with comparison between PI and FOPID controlled PV fed Buck Boost Converter with Coupled Inductor (PVBBCCI) systems. Open loop PVBBCCI system, closed loop PI controlled PVBBCCI and FOPID based PVBBCCI systems are designed, modeled and simulated using Simulink and their results are presented. The investigations indicate the superior performance of FOPID controlled PVBBCCI system. The proposed system has advantages like reduced hardware count enhanced dynamic response and improved stability.
Volume: 8
Issue: 3
Page: 1401-1407
Publish at: 2017-09-01

Effect of PWM Duty Cycle and Frequency of Power Supply to the LED Bulb Efficacy

10.11591/ijpeds.v8.i3.pp1011-1015
Andi Pawawoi , Wahyu Prabowo
In this paper described the effect of frequency and duty cycle of the PWM power supply LED bulb light efficacy. Efficacy LED bulb is measured by measuring the light flux and power consumed at standard conditions, the bulb is supplied directly from the network. Then efficacy, the luminous flux and power the bulb is also measured under the conditions given PWM power supply at some frequency and duty cycle value. In the same light flux levels between the two treatment, the use of PWM power supply can increase the efficacy of the light bulb up to 66.2%, with a value of 117.52 light efficacy lumen / Watt. At the level of light flux which is slightly lower, the use of PWM power supply to the LED bulb with a specific frequency and power supply can achieve the efficacy of 397.14 lumens / Watt
Volume: 8
Issue: 3
Page: 1011-1015
Publish at: 2017-09-01

Optimal Energy Harvesting Scheme for Power Beacon-Assisted Wireless-Powered Networks

10.11591/ijeecs.v7.i3.pp802-808
Dinh-Thuan Do
In this paper, we consider one-way  relay with energy harvesting system based on power beacon (PB), in which the relay node harvests transmitted power from the PB station to forward signals to destination. We also analyse the relay network model with amplify-and-forward (AF) protocol for information cooperation and Power Splitting-based Relaying (PSR) protocol for power transfer. In particular, the outage probability and optimal energy harvesting (EH) power splitting fraction of novel scheme in are presented. We obtain analytical closed-form expression of  optimal energy harvesting (EH) power splitting fraction to minimize the outage probability of system. Using numerical and analytical simulations, the performances of different cases are presented and discussed.
Volume: 7
Issue: 3
Page: 802-808
Publish at: 2017-09-01
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