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30,376 Article Results

Exploring Mobile Game Interactions

10.11591/ijece.v8i5.pp3954-3965
Pitsanu Chaichitwanidchakol , Witcha Feungchan
The mobile game industry has been growing rapidly in both the number of games and revenues. Choosing the right interactions for a game has become a major challenge for developers. Some developers use inappropriate interactions in their games which causes them to be less fun than they should be. This research focuses on gathering and defining possible mobile game interactions so as to guide and enable designers and developers to choose the right interactions for their games. The researchers have extensively reviewed and explored various mobile game interactions both through research studies and through existing mobile games. Subsequent to observations, mobile game interactions were then categorized as follows: 1) Touch interaction 2) Motion/Movement interaction 3) Video interaction 4) Sound interaction 5) Special purpose interaction 6) Location interaction 7) Electroencep-halography (EEG) interaction 8) Date/Time interaction 9) Weather interaction 10) Light interaction 11) Proximity interaction 12) Network interaction 13) Social interaction and 14) Bioinformatics interaction. These 14 interactions can be used to support gameplay, ideas, and innovation of mobile games.
Volume: 8
Issue: 5
Page: 3954-3965
Publish at: 2018-10-01

A Novel Technique to Enhance the Lifetime of Wireless Sensor Networks through Software Realization

10.11591/ijece.v8i5.pp3839-3842
Adarsh Sagar , T. G. Basavaraju , K. B. Surekha
In the most of the real world scenarios, wireless sensor networks are used. Some of the major tasks of these types of networks is to sense some information and sending it to monitoring system or tracking some activity etc. In such applications, the sensor nodes are deployed in large area and in considerably large numbers [1]-[3]. Each of these node will be having constrained resources whether it might be energy, memory or processing capability. Energy is the major resource constraint in these types of networks. Hence enough care to be taken in all aspects such that energy can be used very efficiently. Different Activities which will be taking place in a sensor node are sensing, radio operations and receiving and computing. Among all these operations, radio consumes maximum power. Hence there is a need of reducing the power consumption in such radio operations. In the proposed work a software module is developed which will reduce the number of transmissions done to the base station. The work compares the consecutively sensed data and if these data are same then the old data then the old data will be retained. In other case the newly sensed data will be sent to the sink node. This technique reduces the number of data transmissions in a significant way. With the reduced number of transmissions, the energy saved in each node will be more, which will increase the lifetime of the entire network.
Volume: 8
Issue: 5
Page: 3839-3842
Publish at: 2018-10-01

A CORDIC based QR Decomposition Technique for MIMO Detection

10.11591/ijece.v8i5.pp2731-2737
Shirly Edward A. , Malarvizhi S.
CORDIC based improved real and complex QR Decomposition (QRD) for channel pre-processing operations in (Multiple-Input Multiple-Output) MIMO detectors are presented in this paper. The proposed design utilizes pipelining and parallel processing techniques and reduces the latency and hardware complexity of the module respectively. Computational complexity analysis report shows the superiority of our module by 16% compared to literature. The implementation results reveal that the proposed QRD takes shorter latency compared to literature. The power consumption of 2x2 real channel matrix and 2x2 complex channel matrix was found to be 12mW and 44mW respectively on the state-of-the-art Xilinx Virtex 5 FPGA.
Volume: 8
Issue: 5
Page: 2731-2737
Publish at: 2018-10-01

PI and LQR controllers for Frequency Regulation including Wind Generation

10.11591/ijece.v8i5.pp3711-3721
Semaria Ruiz , Julian Patiño , Jairo Espinosa
The increasing use of renewable technologies such as wind turbines in power systems may require the contribution of these new sources into grid ancillary services, such as Load Frequency Control. Hence, this work dealt with the performance comparison of two traditional control structures, PI and LQR, for secondary regulation of Load Frequency Control with the participation of variable-speed wind turbines. For this purpose, the doubly-fed induction generator wind turbine was modeled with additional control loops for emulation of the inertial response of conventional machines for frequency regulation tasks. Performance of proposed strategies was verified through simulation in a benchmark adapted from the WSCC 3 machines 9-bus test system. Results showed overall superior performance for LQR controller, although requiring more strenuous control effort from conventional units than PI control.
Volume: 8
Issue: 5
Page: 3711-3721
Publish at: 2018-10-01

Optimization of Backpropagation for Early Detection of Diabetes Mellitu

10.11591/ijece.v8i5.pp3232-3237
Rosita Sofiana , Sutikno Sutikno
Diabetes mellitus is one of the urgent health problems in the world. Diabetes is a condition primarily defined by the level of hyperglycemia giving rise to risk of micro vascular damage. Those who suffer from this disease generally do not realize and tend to overlook the early symptoms. Late recognition of these early symptoms may drive the disease to a more concerning level. One solution to solve this problem is to create an application that may perform early detection of diabetes mellitus so that it does not grow larger. In this article, a new method in performing early detection of diabetes mellitus is suggested. This method is backpropagation with three optimization namely early initialization with Nguyen-Widrow algorithm, learning rate adaptive determination, and determination of weight change by applying momentum coefficient. The observation is conducted by collecting 150 data consisting of 79 diabetes mellitus patient and 71 non diabetes mellitus patient data. The result of this study is the suggested algorithm succeeds in detecting diabetes mellitus with accuracy rate of 99.33%. Optimized backpropagation algorithm may allow the training process goes 12.4 times faster than standard backpropagation.
Volume: 8
Issue: 5
Page: 3232-3237
Publish at: 2018-10-01

Design of Linear Plasma Position Controllers with Intelligent Feedback Systems for Aditya Tokamak

10.11591/ijece.v8i5.pp2904-2909
Femila Roseline J , N M. Nandhitha
In order to increase the performance of Aditya tokamak, it is necessary to determine the feedback coil current for positioning the plasma within the magnetic chamber. In this paper, transfer functions are obtained for the plasma position prediction system. Four different feedback controllers are developed to improve the performance of the prediction system. From the analysis, Neural Network controller does not have overshoot while the PID controller has lesser settling time than the other two controllers. 
Volume: 8
Issue: 5
Page: 2904-2909
Publish at: 2018-10-01

Eagle Strategy based Crow Search Algorithm for solving Unit Commitment Problem

10.11591/ijeecs.v12.i1.pp17-29
Rachid Habachi , Achraf Touil , Abdelkabir Charkaoui , Abdelwahed Echchatbi
Eagle strategy is a two-stage optimization strategy, which is inspired by the observation of the hunting behavior of eagles in nature. In this two-stage strategy, the first stage explores the search space globally by using a Levy flight; if it finds a promising solution, then an intensive local search is employed using a more efficient local optimizer, such as hillclimbing and the downhill simplex method. Then, the two-stage process starts again with new global exploration, followed by a local search in a new region. One of the remarkable advantages of such a combina-tion is to use a balanced tradeoff between global search (which is generally slow) and a rapid local search. The crow search algorithm (CSA) is a recently developed metaheuristic search algorithm inspired by the intelligent behavior of crows.This research article integrates the crow search algorithm as a local optimizer of Eagle strategy to solve unit commitment (UC) problem. The Unit commitment problem (UCP) is mainly finding the minimum cost schedule to a set of generators by turning each one either on or off over a given time horizon to meet the demand load and satisfy different operational constraints. There are many constraints in unit commitment problem such as spinning reserve, minimum up/down, crew, must run and fuel constraints. The proposed strategy ES-CSA is tested on 10 to 100 unit systems with a 24-h scheduling horizon. The effectiveness of the proposed strategy is compared with other well-known evolutionary, heuristics and meta-heuristics search algorithms, and by reported numerical results, it has been found that proposed strategy yields global results for the solution of the unit commitment problem. 
Volume: 12
Issue: 1
Page: 17-29
Publish at: 2018-10-01

Assessment-driven Learning through Serious Games: Guidance and Effective Outcomes

10.11591/ijece.v8i5.pp3304-3316
Othman Bakkali Yedri , Lotfi El Aachak , Mohamed Bouhorma
Evaluation in serious games is an important aspect; it aims to evaluate the good transmission of pedagogical objectives, the performance of student in relation to these objectives defined in the pedagogical scenario, the content of the course and the predefined criteria. However, the effectiveness of learning is under-studied due to the complexity involved to gamify the assessment concept, particularly when it comes to intangible measures related to the progression of learning outcomes, which is among the most important aspects of evaluation in serious games. This paper reviews the literature regarding assessment due to their importance in the learning process with a detailed assessment plan applied on serious game. Then, it presents a framework used to facilitate the assessment design integrated in serious games. Finally, a significant example of how the proposed framework proved successful with corresponding results will conclude the paper.
Volume: 8
Issue: 5
Page: 3304-3316
Publish at: 2018-10-01

Improving E-Learning by Integrating a Metacognitive Agent

10.11591/ijece.v8i5.pp3359-3367
Hanane Elbasri , Adil Haddi , Hakim Allali
The major disadvantage of the current Learning Management Systems is the lack of learner assistance in their learning processes and, therefore, they can not replace the presence of the teacher who ensures the progress of learning. In fact, we proposed to integrate, for each learner, a metacognitive agent that supported the metacognitive assistance and extracts the defectsin the learning process and strategies. The goal is to invite the learner to correct himself and improve his learning method. Metacognitive questionnaires were distributed to a group of 100 students before, during and after a computer course. The goal is to evaluatethe metacognitive attributes and to determine their influence on the success of learning. Decision trees were used as data analysis tools to extract a set of rules and to discover the influence of these metacognitive attributes on the result obtained by the learners. The results indicate that there are relationships between the different metacognitive attributes and the learners’ success. We note there is the influence of metacognitive incitement on learner outcomes, which reflects the degree of understanding of a learning pedagogical unit by the learner.
Volume: 8
Issue: 5
Page: 3359-3367
Publish at: 2018-10-01

Performance Analysis of Adaptive Filter Channel Estimated MIMO OFDM Communication System

10.11591/ijece.v8i5.pp3829-3838
Srinu Pyla , K Padma Raju , N Bala Subrahmanyam
Advanced Communication Systems are wideband systems to support multiple applications such as audio, video and data so and so forth. These systems require high spectral efficiency and data rates. In addition, they should provide multipath fading and inter-symbol interference (ISI) free transmission. Multiple input multiple output orthogonal frequency division multiplexing (MIMO OFDM) meets these requirements Hence, MIMO-OFDM is the most preferable technique for long term evaluation advanced (LTE-A). The primary objective of this paper is to control bit error rate (BER) by proper channel coding, pilot carriers, adaptive filter channel estimation schemes and space time coding (STC). A combination of any of these schemes results in better BER performance over individual schemes. System performance is analyzed for various digital modulation schemes. In this paper,adaptive filter channel estimated MIMO OFDM system is proposed by integrating channel coding, adaptivefilter channel estimation, digital modulation and space time coding. From the simulation results, channel estimated 2×2 MIMO OFDM system shows superior performance over individual schemes.
Volume: 8
Issue: 5
Page: 3829-3838
Publish at: 2018-10-01

A Miniature Microstrip Antenna Array using Circular Shaped Dumbbell for ISM Band Applications

10.11591/ijece.v8i5.pp3793-3800
Ahmed Ghaloua , Jamal Zbitou , Larbi El Abdellaoui , Mohamed Latrach , Ahmed Errkik , Abdelali Tajmouati
The aim of this work is the achievement, and the validation of a small microstrip patch antenna array using a circular shaped dumbbell defected ground structure. This work has been dividing into two stages: The first step is to miniaturize a microstrip patch antenna resonating at 5.8GHz, which operate in the Industrial Scientific Medical band (ISM) and the second is to use a circular defected ground structure to shift the resonance frequency of the antenna array from 5.8GHz to 2.45GHz. At last, a miniaturization up to 74.47%, relative to the original microstrip antenna array has accomplished. The antenna structure has designed, optimized and miniaturized using CST MW Studio. The obtained results have compared with Ansoft’s HFSS electromagnetic solver. The antenna array has fabricated on FR-4 substrate, and its reflection coefficient is measured.
Volume: 8
Issue: 5
Page: 3793-3800
Publish at: 2018-10-01

A Statistical Approach to Adaptive Playout Scheduling in Voice Over Internet Protocol Communication

10.11591/ijece.v8i5.pp2926-2933
Priya Chandran , Chelpa Lingam
Factors like network delay, latency and bandwidth significantly affect the quality of communication using Voice over Internet Protocol. The use of jitter buffer at the receiving end compensates the effect of varying network delay up to some extent. But the extra buffer delay given for each packet plays a major role in playing late packets and thereby improving voice quality. As the buffer delay increases packet loss rate decreases, which in general is a very good sign. However, an increase of buffer delay beyond a certain limit affects the interactive quality of voice communication. In this paper, we propose a statistical framework for adaptive playout scheduling of voice packets based on network statistics, packet loss rate and availability of packets in the buffer. Experimental results show that the proposed model allocates optimal buffer delay with the lowest packet loss rate when compared with other algorithms.
Volume: 8
Issue: 5
Page: 2926-2933
Publish at: 2018-10-01

An Effective PSO-inspired Algorithm for Workflow Scheduling

10.11591/ijece.v8i5.pp3852-3859
Toan Phan Thanh , Loc Nguyen The , Said Elnaffar , Cuong Nguyen Doan , Huu Dang Quoc
The Cloud is a computing platform that provides on-demand access to a shared pool of configurable resources such as networks, servers and storage that can be rapidly provisioned and released with minimal management effort from clients. At its core, Cloud computing focuses on maximizing the effectiveness of the shared resources. Therefore, workflow scheduling is one of the challenges that the Cloud must tackle especially if a large number of tasks are executed on geographically distributed servers. This entails the need to adopt an effective scheduling algorithm in order to minimize task completion time (makespan). Although workflow scheduling has been the focus of many researchers, a handful efficient solutions have been proposed for Cloud computing. In this paper, we propose the LPSO, a novel algorithm for workflow scheduling problem that is based on the Particle Swarm Optimization method. Our proposed algorithm not only ensures a fast convergence but also prevents getting trapped in local extrema. We ran realistic scenarios using CloudSim and found that LPSO is superior to previously proposed algorithms and noticed that the deviation between the solution found by LPSO and the optimal solution is negligible.
Volume: 8
Issue: 5
Page: 3852-3859
Publish at: 2018-10-01

Tolerance for Emotional Internet Infidelity and Its Correlate with Relationship Flourishing

10.11591/ijece.v8i5.pp3158-3168
Bernadette Nathania Octaviana , Juneman Abraham
Until today, there is still controversy whether emotional Internet infidelity or cheating is something that can be tolerated. Existing views are diverse, influenced by geographical factors, cultural and ideological backgrounds, as well as biological theory. This present study initially suggested that the higher the relationship flourishing, the higher the tolerance for the infidelity. In an era where monogamous relationships are dynamized by the multiplication of relationship modes through online social networks, this study becomes increasingly urgent, i.e. to recommend a variable capable of providing a buffering effect to the deleterious effect of the infidelity. The study used correlational design. As much as 210 participants (55 males, 155 females, Mage=37.89 years old, SDage=10.870 years) were recruited in the Greater Area of Jakarta, Indonesia to fill out the Relationship Flourishing Scale and Internet Infidelity Tolerance-Emotional Infidelity Subscale. This study found that relationship flourishing and emotional Internet infidelity are negatively correlated (Spearman’s Rho=-0.172, p<0.05) and there is a moderating role of sex (coeff.=0.3481, p<0.05). That is, those with higher relationship flourishing would have a higher intolerance, especially among men. Such intolerance could lead to marital dissatisfaction and, at worst, divorce. The results of this study have implications for (1) an evaluation of psychometric dimensions of the Relationship Flourishing Scale, (2) the need of proposing moderating variables to be integrated into the correlational model between relationship flourishing and the infidelity, as well as (3) online applications development in detecting and managing the Internet infidelity.
Volume: 8
Issue: 5
Page: 3158-3168
Publish at: 2018-10-01

Forensic Tools Performance Analysis on Android-based Blackberry Messenger using NIST Measurements

10.11591/ijece.v8i5.pp3991-4003
Imam Riadi , Rusydi Umar , Arizona Firdonsyah
Blackberry Messenger is one of the popularly used instant messaging applications on Android with user’s amount that increase significantly each year. The increase off Blackberry Messenger users might lead to application misuse, such as for commiting digital crimes. To conduct investigation involving smartphone devices, the investigators need to use forensic tools. Therefore, a research on current forensic tool’s performance in order to handle digital crime cases involving Android smartphones and Blackberry Messenger in particular need to be done. This research focuses on evaluating and comparing three forensic tools to obtain digital evidence from Blackberry Messenger on Android smartphones using parameter from National Institute of Standard Technology and Blackberry Messenger’s acquired digital evidences. The result shows that from comparative analysis conducted, Andriller gives 25% performance value, Oxygen Forensic Suite gives 100% performance value, and Autopsy 4.1.1 gives 0% performance value. Related to National Institute of Standard Technology parameter criterias, Andriller has performance value of 47.61%. Oxygen Forensic Suite has performance value of 61.90%. Autopsy 4.1.1 has performance value of 9.52%.
Volume: 8
Issue: 5
Page: 3991-4003
Publish at: 2018-10-01
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