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30,033 Article Results

Customers’ Perception Towards Services of Telecommunications Operators

10.11591/ijict.v6i3.pp146-154
Driss Ait Omar , Mohamed Baslam , Mourad Nachaoui , And Mohamed Fakir
Currently the operators in the telecommunications market present offers of subscription to the consumers,and given that competition is strong in this area, most of these advertising offers are prepared to attract and / or keep customers.For this reason, customers face problems in choosing operators that meet their needs in terms of price, quality of service (QoS), etc..., while taking into account the margin between what is advertising and what is real. Therefore, we are led to solve a problem of decision support. Mathematical modeling of this problem led to the solution of an inverse problem. Specifi-cally, the inverse problem is to find the real Quality of Service (QoS) function knowing the theoretical QoS. To solve this problem we have reformulated in an optimization problem of minimizing the difference between the real quality of service (QoS) and theoretical (QoS). This model will help customers who seek to know the degree of sincerity of Their operators, as well as it is an opportunity for operators who want to maintain their resources so that they gain the trust of customers. The resulting optimization problem is solved using evolutionary algorithms. The numerical results showed the reliability and credibility of our inverse model and the performance and effectiveness of our approach.
Volume: 6
Issue: 3
Page: 146-154
Publish at: 2017-12-01

Comparisional Investigation of Load Dispatch Solutions with TLBO

10.11591/ijece.v7i6.pp3246-3253
DSNM Rao , Niranjan Kumar
This paper discusses economic load dispatch Problem is modeled with non-convex functions. These are problem are not solvable using a convex optimization techniques. So there is a need for using a heuristic method. Among such methods Teaching and Learning Based Optimization (TLBO) is a recently known algorithm and showed promising results. This paper utilized this algorithm to provide load dispatch solutions. Comparisons of this solution with other standard algorithms like Particle Swarm Optimization (PSO), Differential Evolution (DE) and Harmony Search Algorithm (HSA). This proposed algorithm is applied to solve the load dispatch problem for 6 unit and 10 unit test systems along with the other algorithms. This comparisional investigation explored various merits of TLBO with respect to PSO, DE, and HAS in the field economic load dispatch.
Volume: 7
Issue: 6
Page: 3246-3253
Publish at: 2017-12-01

Modified Projective Synchronization of Chaotic Systems with Noise Disturbance, an Active Nonlinear Control Method

10.11591/ijece.v7i6.pp3436-3445
Hamed Tirandaz , Mohsen Ahmadnia , Hamid Reza Tavakoli
The synchronization problem of chaotic systems using active modified projective nonlinear control method is rarely addressed. Thus the concentration of this study is to derive a modified projective controller to synchronize the two chaotic systems. Since, the parameter of the master and follower systems are considered known, so active methods are employed instead of adaptive methods. The validity of the proposed controller is studied by means of the Lyapunov stability theorem. Furthermore, some numerical simulations are shown to verify the validity of the theoretical discussions. The results demonstrate the effectiveness of the proposed method in both speed and accuracy points of views.
Volume: 7
Issue: 6
Page: 3436-3445
Publish at: 2017-12-01

Solving Course Selection Problem by a Combination of Correlation Analysis and Analytic Hierarchy Process

10.11591/ijece.v7i6.pp3536-3551
Mohammed Al-Sarem
In the universities where students have a chance to select and enroll in a particular course, they require special support to avoid the wrong combination of courses that might lead to delay their study. Analysis shows that the students' selection is mainly influenced by list of factors which we categorized them into three groups of concern: course factors, social factors, and individual factors. This paper proposed a two-phased model where the most correlated courses are generated and prioritized based on the student preferences. At this end, we have applied the multi-criteria analytic hierarchy process (MC-AHP) in order to generate the optimum set of courses from the available courses pool. To validate the model, we applied it to the data from students of the Information System Department at Taibah University, Kingdom of Saudi Arabia. 
Volume: 7
Issue: 6
Page: 3536-3551
Publish at: 2017-12-01

Mobile Decision Support System to Determine Toddler's Nutrition Using Fuzzy Sugeno

10.11591/ijece.v7i6.pp3683-3691
Suharjito Suharjito , Jimmy Jimmy , Abba Suganda Girsang
Determination of nutritional status is closely related to the determination of dietary patterns should be given to infants. Nutrition is very important role in mental, physical development, and human productivity. In this study, the system based on android is developed to determine the nutritional status of infants by using Fuzzy Sugeno. Indicator variables are age, height, circle head, and body weight according to the male or female. In this study, the results of measurements of nutritional status of children with Fuzzy Sugenoare tested by comparing the nutritional quality of the data Posyandu toddler by using anthropometric tables. The results of the evaluation measurement accuracy in this application are compared with the results of manual calculation based infant growth charts according to WHO standards. Therefore, these applications can be used to help the community in monitoring the nutritional status of children so that the growth of children is more appropriate in line with expectations.
Volume: 7
Issue: 6
Page: 3683-3691
Publish at: 2017-12-01

Control strategy of a grid-connected photovoltaic with battery energy storage system for hourly power dispatch

10.11591/ijpeds.v8.i4.pp1830-1840
Mohd Afifi Jusoh , Muhamad Zalani Daud
The high penetration of fluctuated photovoltaic (PV) output power into utility grid system will affect the operation of interconnected grids. The unnecessary output power fluctuation of PV system is contributed by unpredictable nature and inconsistency of solar irradiance and temperature. This paper presents a control scheme to mitigate the output power fluctuations from PV system and dispatch out the constant power on an hourly basis to the utility grid. In this regards, battery energy storage (BES) system is used to eliminate the output power fluctuation. Control scheme is proposed to maintain parameters of BES within required operating constraints. The effectiveness of the proposed control scheme is tested using historical PV system input data obtained from a site in Malaysia. The simulation results show that the proposed control scheme of BES system can properly manage the output power fluctuations of the PV sources by dispatching the output on hourly basis to the utility grid while meeting all required operating constraints.
Volume: 8
Issue: 4
Page: 1830-1840
Publish at: 2017-12-01

Identification of Rare Genetic Disorder from Single Nucleotide Variants Using Supervised Learning Technique

10.11591/ijai.v6.i4.pp174-184
Sathyavikasini K , Vijaya M S
Muscular dystrophy is a rare genetic disorder that affects the muscular system which deteriorates the skeletal muscles and hinders locomotion. In the finding of genetic disorders such as Muscular dystrophy, the disease is identified based on mutations in the gene sequence. A new model is proposed for classifying the disease accurately using gene sequences, mutated by adopting positional cloning on the reference cDNA sequence. The features of mutated gene sequences for missense, nonsense and silent mutations aims in distinguishing the type of disease and the classifiers are trained with commonly used supervised pattern learning techniques.10-fold cross validation results show that the decision tree algorithm was found to attain the best accuracy of 100%. In summary, this study provides an automatic model to classify the muscular dystrophy disease and shed a new light on predicting the genetic disorder from gene based features through pattern recognition model.
Volume: 6
Issue: 4
Page: 174-184
Publish at: 2017-12-01

Geo-Spatial Information for Managing Ambiguity

10.11591/ijeecs.v8.i3.pp636-638
Senthil Kumar M. , V. Mathivanan
An innate test emerging in any dataset containing data of space as well as time is vulnerability due to different wellsprings of imprecision. Incorporating the effect of the instability is a principal while evaluating the unwavering quality (certainty) of any question result from the hidden information. To bargain with vulnerability, arrangements have been proposed freely in the geo-science and the information science look into group. This interdisciplinary instructional exercise crosses over any barrier between the two groups by giving an exhaustive diagram of the distinctive difficulties required in managing indeterminate geo-spatial information, by looking over arrangements from both research groups, and by distinguishing likenesses, cooperative energies and open research issues.
Volume: 8
Issue: 3
Page: 636-638
Publish at: 2017-12-01

Maximum Radiated Emissions of Printed Circuit Board Using Analytical Methods

10.11591/ijece.v7i6.pp2919-2928
Mohd Zarar Mohd Jenu , Ahmed M. Sayegh , Syarfa Zahirah Sapuan
The rapid progress of technology has imposed significant challenges on Printed Circuit Boards (PCB) designers. Once of those challenges is to satisfy the electromagnetic compatibility (EMC) compliance requirements. For that reason, EMC compliance must be considered earlier at the design stage for time and cost savings. Conventionally, full wave simulation is employed to check whether the designed PCB meets EMC standards or not. However, this method is not a suitable option since it requires intensive computational time and thus increasing the unit cost. This paper describes novel analytical models for estimating the radiated emissions (RE) of PCB. These models can be used to help the circuit designer to modify their circuit based on the maximum allowable RE comparing to the relevant EMC-RE standard limit. Although there are many RE sources on PCB, this paper focuses on the significant source of RE on PCB; namely PCB-traces. The trace geometry, termination impedance, dielectric type, etc. can be specified based on the maximum allowable emissions. The proposed models were verified by comparing the results of the proposed models with both simulation and experimental results. Good agreements were obtained between the analytically computed results and simulation/measurement results with accuracy of ±3dB.
Volume: 7
Issue: 6
Page: 2919-2928
Publish at: 2017-12-01

Experimental Comparative Study of Feedback Linearized Controller and Proportional Integral Controller of the DC Bus Voltage of Three-phase Shunt Active Power Filter

10.11591/ijpeds.v8.i4.pp1481-1493
Ismail Ghadbane , Mohamed Toufik Benchouia
In This paper we present experimental comparative study of feedBack Linearized and Proportional Integral (PI) Controller of the DC bus voltage of three phase shunt Active Power Filter (APF). The FeedBack Linearized and PI controllers are introduced to improve tracking performance characteristics, power quality and minimized consumption of the reactive power. The algorithm used to identify the reference currents is based on the Self Tuning Filter (STF). The firing pulses of the IGBTs inverter are generated using a hysteresis current controller; which is implemented on an analogue card. Finally, the above study, under steady state and transient conditions, is illustrated with signal-flow graphs and corresponding analysis. This study was verified by experimental tests on hardware prototype based on dSPACE-1104. The experimental results show the feasibility and the effectiveness of the designed active filter, associated with Feedback Linearized and PI controllers and are capability in meeting the IEEE 519-1992 recommended harmonic standard limits.
Volume: 8
Issue: 4
Page: 1481-1493
Publish at: 2017-12-01

Multi-way Array Decomposition on Acoustic Source Separation for Fault Diagnosis of a Motor-Pump System

10.11591/ijece.v7i6.pp3052-3059
Anindita Adikaputri Vinaya , Dhany Arifianto
In this study, we propose a multi-way array decomposition approach to solve the complexity of approximate joint diagonalization process for fault diagnosis of a motor-pump system. Sources used in this study came from  drive end-motor, nondrive end-motor , drive end pump , and nondrive end pump. An approximate joint diagonalization is a common approach to resolving an underdetermined cases in blind source separation. However, it has quite heavy computation and requires more complexity. In this study, we use an acoustic emission to detect faults based on multi-way array decomposition approach. Based on the obtained results, the difference types of machinery fault such as misalignment and outer bearing fault can be detected by vibration spectrum and estimated acoustic spectrum. The performance of proposed method is evaluated using MSE and LSD. Based on the results of the separation, the estimated signal of the nondrive end pump is the closest to the baseline signal compared to other signals with  LSD is 1.914 and MSE is 0.0707. The instantaneous frequency of the estimated source signal will also be compared with the vibration signal in frequency spectrum to test the effectiveness of the proposed method.
Volume: 7
Issue: 6
Page: 3052-3059
Publish at: 2017-12-01

A comparative Analysis of Symmetrical and Asymmetrical Cascaded Multilevel Inverter Having Reduced Number of Switches and DC Sources

10.11591/ijpeds.v8.i4.pp1595-1602
Lipika Nanda , A Dasgupta , U.K. Rout
As multilevel inverters are gaining increasing importance .New topologies are being proposed in order to achieve large number of levels in output voltage. A simplified MLI topology has been presented with both symmetrical and asymmetrical configurations. This paper represents a comprehensive analysis of above mentioned topology with FFT analysis,switching and conduction losses of the inverter.Hence efficiency at different carrier frequencies has been calculated successfully.Results are verified with simulation studies.Multilevel inverters are currently considered as a better industrial solution for high dynamic performance and power-quality demanding applications, covering a wide power range.
Volume: 8
Issue: 4
Page: 1595-1602
Publish at: 2017-12-01

Nautical Ad-hoc Network Application Development for Maritime Communications

10.11591/ijeecs.v8.i3.pp667-669
Capt. Samson Joseph
High data rate communication in terrestrial wireless scenarios can be accomplished by setting up Base Stations (BS) on the ground. But applying the similar technique to maritime communication may not be suitable because owing to the geographically constrained nature of the ocean, henceforth, MF/HF modems, extensive-distance transmission characteristics with low data-rate are commonly employed in maritime communiqué. Inmarsat is conservatively used in Maritime satellite communiqué in order to reimburse for low data-rate transmission of MF/HF modems, but its main negative aspect is high cost. To improve the transmission speed along with low price, in general, a network whose architecture is similar to Vehicular Adhoc Network (VANET), that permits peer-to-peer transportation without BS, i.e., ad-hoc network is critical. An ad-hoc network for nautical environment named as Nautical Ad-hoc Network (NANET) was proposed. Multiple access and duplexing schemes are used to implement the nautical network for corresponding NANET scenarios. 
Volume: 8
Issue: 3
Page: 667-669
Publish at: 2017-12-01

Recent advances in LVCSR : A benchmark comparison of performances

10.11591/ijece.v7i6.pp3358-3368
Rahhal Errattahi , Asmaa El Hannani
Large Vocabulary Continuous Speech Recognition (LVCSR), which is characterized by a high variability of the speech, is the most challenging task in automatic speech recognition (ASR). Believing that the evaluation of ASR systems on relevant and common speech corpora is one of the key factors that help accelerating research, we present, in this paper, a benchmark comparison of the performances of the current state-of-the-art LVCSR systems over different speech recognition tasks. Furthermore, we put objectively into evidence the best performing technologies and the best accuracy achieved so far in each task. The benchmarks have shown that the Deep Neural Networks and Convolutional Neural Networks have proven their efficiency on several LVCSR tasks by outperforming the traditional Hidden Markov Models and Guaussian Mixture Models. They have also shown that despite the satisfying performances in some LVCSR tasks, the problem of large-vocabulary speech recognition is far from being solved in some others, where more research efforts are still needed.
Volume: 7
Issue: 6
Page: 3358-3368
Publish at: 2017-12-01

Adaptive Antenna Selection and Power Allocation in Downlink Massive MIMO Systems

10.11591/ijece.v7i6.pp3521-3528
Adeeb Salh , Lukman Audah , Nor Shahida M Shah , Shipun A Hamzah
Massive multi-input, multi-output (MIMO) systems are an exciting area of study and an important technique for fifth-generation (5G) wireless networks that support high data rate traffic. An increased number of antenna arrays at the base station (BS) consumes more power due to a higher number of radio frequency (RF) chains, which cannot be neglected and becomes a technical challenge. In this paper, we investigated how to obtain the maximal data rate by deriving the optimal number of RF chains from a large number of available antenna arrays at the BS when there is equal power allocation among users. Meanwhile, to mitigate inter-user-interference and to compute transmit power allocation, we used the precoding scheme zero forcing beamforming (ZFBF). The achievable data rate is increased because the algorithm of ZFBF enables the choosing of the maximum power in relation to the optimal antenna selection. We conclude that the transmit power allocation  allows the use of less number of RF chains which provides the maximum achievable data rate depending on the optimal RF chain at the BS.
Volume: 7
Issue: 6
Page: 3521-3528
Publish at: 2017-12-01
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