Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

31,377 Article Results

Recognition of emotional states using EEG signals based on time-frequency analysis and SVM classifier

10.11591/ijece.v9i2.pp1012-1020
Fabian Parsia George , Istiaque Mannafee Shaikat , Prommy Sultana Ferdawoos Hossain , Mohammad Zavid Parvez , Jia Uddin
The recognition of emotions is a vast significance and a high developing field of research in the recent years. The applications of emotion recognition have left an exceptional mark in various fields including education and research. Traditional approaches used facial expressions or voice intonation to detect emotions, however, facial gestures and spoken language can lead to biased and ambiguous results. This is why, researchers have started to use electroencephalogram (EEG) technique which is well defined method for emotion recognition. Some approaches used standard and pre-defined methods of the signal processing area and some worked with either fewer channels or fewer subjects to record EEG signals for their research. This paper proposed an emotion detection method based on time-frequency domain statistical features. Box-and-whisker plot is used to select the optimal features, which are later feed to SVM classifier for training and testing the DEAP dataset, where 32 participants with different gender and age groups are considered. The experimental results show that the proposed method exhibits 92.36% accuracy for our tested dataset. In addition, the proposed method outperforms than the state-of-art methods by exhibiting higher accuracy.
Volume: 9
Issue: 2
Page: 1012-1020
Publish at: 2019-04-01

Evaluation of basic convolutional neural network and bag of features for leaf recognition

10.11591/ijeecs.v14.i1.pp327-332
Nurul Fatihah Sahidan , Ahmad Khairi Juha , Zaidah Ibrahim
This paper presents the evaluation of basic Convolutional Neural Network (CNN) and Bag of Features (BoF) for Leaf Recognition. In this study, the performance of basic CNN and BoF for leaf recognition using a publicly available dataset called Folio dataset has been investigated. CNN has proven its powerful feature representation power in computer vision. The same goes with BoF where it has set new performance standards on popular image classification benchmarks and has achieved scalability breakthrough in image retrieval. The feature that is being utilized in the BoF is Speeded-Up Robust Feature (SURF) texture feature. The experimental results indicate that BoF achieves better accuracy compared to basic CNN.
Volume: 14
Issue: 1
Page: 327-332
Publish at: 2019-04-01

Enhancement of data transmission using optimized multi-cell approach in 5G backhaul wireless mesh network

10.11591/ijeecs.v14.i1.pp65-76
Nirmalkumar S Benni , Sunilkumar S Manvi
The millimeter wave (mmWave) band and its usage has taken an attention in this 5G creation as its implementation can provide ultra-high speed data transmission in wireless network. This is much better than the centimeter wave-band as it has limitations on the bandwidth usage. While considering the 5G networking with the backhaul-topologies, the network and user-equipment performance depends on the selection of serving receiving nodes (RNs) of the user-equipment (UE). Therefore, the algorithms that reduces the complexity of the UE association and the backhaul traffic-routing must be chosen, which thereby maximizes the efficiency of the spectrum and energy of network. The modifications are done to the Multicellular local solution (McLS)approach, which leads to our proposed algorithm that is, improved against the channel information estimation-errors. The optimized multi-cell approach (OMcA) is formed by combining the improved-parameter, the pre-coder, mean square error (MSE) weighted-variable and receive filter. The proposed OMcA is compared with some other existing technique in order to evaluate the performance in terms of sum rate (SR).
Volume: 14
Issue: 1
Page: 65-76
Publish at: 2019-04-01

Simulation of various DC-DC converters for photovoltaic system

10.11591/ijece.v9i2.pp917-925
R. Palanisamy , K. Vijayakumar , V. Venkatachalam , R. Mano Narayanan , D. Saravanakumar , K. Saravanan
This work explains the comparison of various dc-dc converters for photovoltaic systems. In recent day insufficient energy and continues increasing in fuel cost, exploration on renewable energy system becomes more essential. For high and medium power applications, high input source from renewable systems like photovoltaic and wind energy system turn into difficult one, which leads to increase of cost for installation process. So the generated voltage from PV system is boosted with help various boost converter depends on the applications. Here the various converters are like boost converter, buck converter, buck-boost converter, cuk converter, sepic converter and zeta converter are analysed for photovoltaic system, which are verified using matlab / simulink.
Volume: 9
Issue: 2
Page: 917-925
Publish at: 2019-04-01

Design and implementation of secured agent based NoC using shortest path routing algorithm

10.11591/ijece.v9i2.pp950-959
Kendaganna Swamy S , Anand Jatti , Uma B. V.
Network on chip (NoC) is a scalable interconnection architecture for every increasing communication demand between many processing cores in system on chip design. Reliability aspects are becoming an important issue in fault tolerant architecture. Hence there is a demand for fault tolerant Agent architecture with suitable routing algorithm which plays a vital role in order to enhance the NoC performance. The proposed fault tolerant Agent based NoC method is used to enhance the reliability and performance of the Multiprocessor System on Chip (MPSoC) design against faulty links and nodes. These agents are placed in hierarchical manner to collect, process, classify and distribute different fault information related to the faulty links and nodes of the network. This fault information is used for further packet routing in the network with the help of shortest path routing algorithm. In addition to this the agent will provide the security for the node by setting firewall, which then decides whether the packet has to be processed or not. This intern provides high performance, low latency NoC by avoiding deadlock and live lock with low area overhead.
Volume: 9
Issue: 2
Page: 950-959
Publish at: 2019-04-01

ICI and PAPR enhancement in MIMO-OFDM system using RNS coding

10.11591/ijece.v9i2.pp1209-1219
M. I. Youssef , A. E. Emam , M. Abd Khalifa
The Inter-Carrier-Interference (ICI) is considered a bottleneck in the utilization of Multiple-Input-Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) systems, due to the sensitivity of the OFDM towards frequency offsets which lead to loss of orthogonality, interference and performance degradation. In this paper Residue Numbers as a coding scheme is impeded in MIMO-OFDM systems, where the ICI levels is measured and evaluated with respect to conventional ICI mitigation techniques implemented in MIMO-OFDM. The Carrier-to-Interference Ratio (CIR), the system Bit-Error-Rate (BER) and the Complementary Cumulative Distribution Function (CCDF) for MIMO-OFDM system with Residue Number System (RNS) coding are analyzed and evaluated. The results had demonstrated a performance of transmission model with and without RNS.
Volume: 9
Issue: 2
Page: 1209-1219
Publish at: 2019-04-01

Mixed integer nonlinear programming (MINLP)-based bandwidth utility function on internet pricing scheme with monitoring and marginal cost

10.11591/ijece.v9i2.pp1240-1248
Robinson Sitepu , Fitri Maya Puspita , Elika Kurniadi , Yunita Yunita , Shintya Apriliyani
The development of the internet in this era of globalization has increased fast. The need for internet becomes unlimited. Utility functions as one of measurements in internet usage, were usually associated with a level of satisfaction of users for the use of information services used. There are three internet pricing schemes used, that are flat fee, usage based and two-part tariff schemes by using one of the utility function which is Bandwidth Diminished with Increasing Bandwidth with monitoring cost and marginal cost. Internet pricing scheme will be solved by LINGO 13.0 in form of non-linear optimization problems to get optimal solution. The optimal solution is obtained using the either usage-based pricing scheme model or two-part tariff pricing scheme model for each services offered, if the comparison is with flat-fee pricing scheme. It is the best way for provider to offer network based on usage based scheme. The results show that by applying two part tariff scheme, the providers can maximize its revenue either for homogeneous or heterogeneous consumers.
Volume: 9
Issue: 2
Page: 1240-1248
Publish at: 2019-04-01

Managing usability evaluation practices in agile development environments

10.11591/ijece.v9i2.pp1288-1297
Aziz Bin Deraman , Fouad Abdulameer Salman
Usability evaluation is a core usability activity that minimizes risks and improves product quality. The returns from usability evaluation are undeniable. Neglecting such evaluation at the development stage negatively affects software usability. In this paper, the authors develop a software management tool used to incorporate usability evaluation activities into the agile environment. Using this tool, agile development teams can manage a continuous evaluation process, tightly coupled with the development process, allowing them to develop high quality software products with adequate level of usability. The tool was evaluated through verification, followed by the validation on satisfaction. The evaluation results show that the tool increased software development practitioner satisfaction and is practical for supporting usability work in software projects. 
Volume: 9
Issue: 2
Page: 1288-1297
Publish at: 2019-04-01

A new complexity reduction methods of V-BLAST MIMO system in a communication channel

10.11591/ijict.v8i1.pp29-38
Sunita Panda , Rosalin Samantaray , Pradyumna Ku. Mohapatra , R.N. Panda , Padma Sahu
To design most reliable wireless communication system we need an efficient method which can be proposed in this paper is V-BLAST technique which is most powerful tool in MIMO system. To improve the channel capacity and data rate efficiently we need manifold antennas together with the transmitter and receiver. In this paper we have analyzed different equalizers performance using V-BLAST algorithm. We have proposed two methods i.e. low complexity QR algorithm and another is consecutive iterations reduction method. This methods compare with traditional finding methods such as ZF, MMSE, SIC and ML. The proposed algorithm shows that it not only reduce the computational complexity but we can achieve significant bit error rate (BER) and probability error compared to traditional VBLAST techniques.
Volume: 8
Issue: 1
Page: 29-38
Publish at: 2019-04-01

A novel framework for efficient identification of brain cancer region from brain MRI

10.11591/ijece.v9i2.pp1410-1417
Parvathi Angadi , M Nagendra , Hanumanthappa M
Diagnosis of brain cancer using existing imaging techniques, e.g., Magnetic Resonance Imaging (MRI) is shrouded with various degrees of challenges. At present, there are very few significant research models focusing on introducing some novel and unique solutions towards such problems of detection. Moreover, existing techniques are found to have lesser accuracy as compared to other detection schemes. Therefore, the proposed paper presents a framework that introduces a series of simple and computationally cost-effective techniques that have assisted in leveraging the accuracy level to a very higher degree. The proposed framework takes the input image and subjects it to non-conventional segmentation mechanism followed by optimizing the performance using directed acyclic graph, Bayesian Network, and neural network. The study outcome of the proposed system shows the significantly higher degree of accuracy in detection performance as compared to frequently existing approaches.
Volume: 9
Issue: 2
Page: 1410-1417
Publish at: 2019-04-01

An intelligent approach to take care of mother and baby health

10.11591/ijece.v9i2.pp1137-1144
Mohammad Nasser Uddin , Mohammad Jahangir Alam , Md. Nurul Mustafa
This is the era of technology and is widely used in every sector. In Bangladesh the use of technology is increasing day by day in many sectors. Health sector is one of them. This research is designed and developed to help the pregnant women to get weekly information on development and conditions of their health and the growing child inside their womb. This system will notify expectant mothers automatically   about their health checkup date and time. It provides general and special health information to the expectant mothers. It is designed with user friendly interface so that an expectant mother can use this system very effectively. This system allows a unique secure login system and provides a unique suggestion to the expectant mothers.This system is very user friendly and useful.
Volume: 9
Issue: 2
Page: 1137-1144
Publish at: 2019-04-01

Elastic neural network method for load prediction in cloud computing grid

10.11591/ijece.v9i2.pp1201-1208
Kefaya S. Qaddoum , Nameer N. El Emam , Mosleh A. Abualhaj
Cloud computing still has no standard definition, yet it is concerned with Internet or network on-demand delivery of resources and services. It has gained much popularity in last few years due to rapid growth in technology and the Internet. Many issues yet to be tackled within cloud computing technical challenges, such as Virtual Machine migration, server association, fault tolerance, scalability, and availability. The most we are concerned with in this research is balancing servers load; the way of spreading the load between various nodes exists in any distributed systems that help to utilize resource and job response time, enhance scalability, and user satisfaction. Load rebalancing algorithm with dynamic resource allocation is presented to adapt with changing needs of a cloud environment. This research presents a modified elastic adaptive neural network (EANN) with modified adaptive smoothing errors, to build an evolving system to predict Virtual Machine load. To evaluate the proposed balancing method, we conducted a series of simulation studies using cloud simulator and made comparisons with previously suggested approaches in the previous work. The experimental results show that suggested method betters present approaches significantly and all these approaches.
Volume: 9
Issue: 2
Page: 1201-1208
Publish at: 2019-04-01

A cost effective computational design of maximum power point tracking for photo-voltaic cell

10.11591/ijece.v9i2.pp851-860
Yoganandini A. P. , Anitha G. S.
Maximum Power Point Tracking (MPPT) is one of the essential controller operations of any Photo-Voltaic (PV) cell design. Developing an efficient MPPT system includes a significant challenge as there are various forms of uncertainty factors that results in higher degree of fluctuation in current and voltage in PV cell. After reviewing existing system, it has been found that there is no presence of any benchmarked model to ensure a better form of computational model. Hence, this paper presents a novel and very simple design of MPPT without using any form of complex design mechanism nor including any form of frequently used iterative approach. The proposed model is completely focused on developing an algorithm that takes the input of voltage (open circuit), current (short circuit), and max power in order to obtain the peak power to be extracted from the PV cells. The study outcome shows faster response time and better form of analysis of current-voltage-power for given state of PV cells.
Volume: 9
Issue: 2
Page: 851-860
Publish at: 2019-04-01

Linearity improvement of differential CMOS low noise amplifier

10.11591/ijeecs.v14.i1.pp407-412
Maizan Muhamad , Norhayati Soin , Harikrishnan Ramiah
This paper presents the linearity improvement of differential CMOS low noise amplifier integrated circuit using 0.13um CMOS technology. In this study, inductively degenerated common source topology is adopted for wireless LAN application. The linearity of the single-ended LNA was improved by using differential structures with optimum biasing technique. This technique achieved better LNA and linearity performance compare with single-ended structure. Simulation was made by using the cadence spectre RF tool. Consuming 5.8mA current at 1.2V supply voltage, the designed LNA exhibits S21 gain of 18.56 dB, noise figure (NF) of 1.85 dB, S11 of −27.63 dB, S22 of -34.33 dB, S12 of −37.09 dB and IIP3 of -7.79 dBm.
Volume: 14
Issue: 1
Page: 407-412
Publish at: 2019-04-01

Single view vs. multiple views scatterplots

10.11591/ijece.v9i2.pp1426-1436
Federico Manuri , Andrea Sanna , Fabrizio Lamberti
Among all the available visualization tools, the scatterplot has been deeply analyzed through the years and many researchers investigated how to improve this tool to face new challenges. The scatterplot visualization diagram is considered one of the most functional among the variety of data visual representations, due to its relative simplicity compared to other multivariable visualization techniques. Even so, one of the most significant and unsolved challenge in data visualization consists in effectively displaying datasets with many attributes or dimensions, such as multidimensional or multivariate ones. The focus of this research is to compare the single view and the multiple views visualization paradigms for displaying multivariable dataset using scatterplots. A multivariable scatterplot has been developed as a web application to provide the single view tool, whereas for the multiple views visualization, the ScatterDice web app has been slightly modified and adopted as a traditional, yet interactive, scatterplot matrix. Finally, a taxonomy of tasks for visualization tools has been chosen to define the use case and the tests to compare the two paradigms.
Volume: 9
Issue: 2
Page: 1426-1436
Publish at: 2019-04-01
1 2 3
...
2091 2092
Show 1412 of 2092

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration