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28,428 Article Results

On the DIBL Reduction Effect of Short Channel Carbon Nanotube Field Effect Transistors

10.11591/ijece.v6i4.pp1514-1521
Khial Aicha , Rechem Djamil , Azizi Chrifa , Zaabat Mourad
The Drain Induced Barrier Lowering (DIBL), in carbon Nanotubes-Fet (CNTFETS), is a challenging study that still needs investigation. Based on a numerical model, the Non-Equilibrium Green’s Function (NEGF) approach was applied to simulate the DIBL effect in CNTFETS. In this study,  the effect of the length gate ranging from 10 to 30 nm, for different temperatures (77K, 15K, 300K and 400K) on the DIBL was investigated. Then the variation of DIBL effect as a function of the nanotubes diameter varying over the following chiralities: (13, 0), (16, 0), (19, 0), (23, 0) and (25, 0) was undertaken. Afterworlds, we conducted the variation of DIBL impact as a function of the oxide thickness with the values: 1.5 nm, 3 nm, 4.5 nm, 6 nm and 7 nm. Moreover, the DIBL effect was carried at depending upon the high-k materials such as:  SiO_2, HfO_2, ZrO_2, 〖Ta〗_2 O_2 and TiO_2. Finally, a conclusion is made basing at the different findings which revealed that the best reduce of DIBL impact was recorded under a liquid Nitrogen temperature of 77 K.
Volume: 6
Issue: 4
Page: 1514-1521
Publish at: 2016-08-01

A Zone Based Approach for Classification and Recognition Of Telugu Handwritten Characters

10.11591/ijece.v6i4.pp1647-1653
N. Shobha Rani , Sanjay Kumar Verma , Anitta Joseph
Realization of high accuracies and efficiencies in South Indian character recognition systems is one of the principle goals to be attempted time after time so as to promote the usage of optical character recognition (OCR) for South Indian languages like Telugu. The process of character recognition comprises pre-processing, segmentation, feature extraction, classification and recognition. The feature extraction stage is meant for uniquely recognizing each character image for the purpose of classifying it. The selection of a feature extraction algorithm is very critical and important for any image processing application and mostly of the times it is directly proportional to the type of the image objects that we have to identify. For optical technologies like South Indian OCR, the feature extraction technique plays a very vital role in accuracy of recognition due to the huge character sets. In this work we mainly focus on evaluating the performance of various feature extraction techniques with respect to Telugu character recognition systems and analyze its efficiencies and accuracies in recognition of Telugu character set.
Volume: 6
Issue: 4
Page: 1647-1653
Publish at: 2016-08-01

Software Reliability Prediction using Fuzzy Min-Max Algorithm and Recurrent Neural Network Approach

10.11591/ijece.v6i4.pp1929-1938
Manmath Kumar Bhuyan , Durga Prasad Mohapatra , Srinivas Sethi
Fuzzy Logic (FL) together with Recurrent Neural Network (RNN) is used to predict the software reliability. Fuzzy Min-Max algorithm is used to optimize the number of the kgaussian nodes in the hidden layer and delayed input neurons. The optimized recurrentneural network is used to dynamically reconfigure in real-time as actual software failure. In this work, an enhanced fuzzy min-max algorithm together with recurrent neural network based machine learning technique is explored and a comparative analysis is performed for the modeling of reliability prediction in software systems. The model has been applied on data sets collected across several standard software projects during system testing phase with fault removal. The performance of our proposed approach has been tested using distributed system application failure data set.
Volume: 6
Issue: 4
Page: 1929-1938
Publish at: 2016-08-01

Wireless Indoor Localization Systems and Techniques: Survey and Comparative Study

10.11591/ijeecs.v3.i2.pp392-409
Ahmed Azeez Khudhair , Saba Qasim Jabbar , Mohammed Qasim Sulttan , Desheng Wang
The popularity, great influence and huge importance made wireless indoor localization has a unique touch, as well its wide successful on positioning and tracking systems for both human and assists also contributing to take the lead from outdoor systems in the scope of the recent research works. In this work, we will attempt to provide a survey of the existing indoor positioning solutions and attempt to classify different its techniques and systems. Five typical location predication approaches (triangulation, fingerprinting, proximity, vision analysis and trilateration) are considered here in order to analysis and provide the reader a review of the recent advances in wireless indoor localization techniques and systems to have a good understanding of state of the art technologies and motivate new research efforts in this promising direction. For these reasons, existing wireless localization position systems and location estimation schemes are reviewed. We also made a comparison among the related techniques and systems along with conclusions and future trends to identify some possible areas of enhancements. 
Volume: 3
Issue: 2
Page: 392-409
Publish at: 2016-08-01

An Image Processing Method to Convert RGB Image into Binary

10.11591/ijeecs.v3.i2.pp377-382
Ratri Dwi Atmaja , Muhammad Ary Murti , Junartho Halomoan , Fiky Yosef Suratman
It is important in image processing to extract objects from their background into binary image. Binary image is used as input to feature extraction process and have an important role in generating unique feature to distinguish several classes in pattern recognition. This paper propose an image processing algorithm to obtain a binary image from RGB. The results showed that the binary image of the proposed algorithm contained the desired object.
Volume: 3
Issue: 2
Page: 377-382
Publish at: 2016-08-01

VLSI Architectures for Lifting Based Discrete Wavelet Transform – A Survey

10.11591/ijeecs.v3.i2.pp323-330
M. Kalaiarasi , T. Vigneswaran
Image compression is a key technology in the development of various multimedia and communication applications. Perfect reconstruction of the image without any loss in picture quality and data is very important. This can be achieved with the Discrete Wavelet Transform (DWT), which is an efficient tool for image compression and video compression. The lifting based DWT architecture has the advantage of lower computational complexities and also requires less memory compared to the conventional convolution method. The existing DWT architectures are represented in terms of folded, flipping and recursive structures. The various architectures are discussed in terms of memory, power consumption and operating frequency involved with the given size of image and required levels of decomposition. This paper presents a survey of these architectures for 2-dimensional and 3-dimensional Discrete Wavelet Transform. This study is useful for deriving an efficient method for improving the speed and hardware complexities of existing architectures.
Volume: 3
Issue: 2
Page: 323-330
Publish at: 2016-08-01

Optimal Tuning and Placement of Power System Stabilizers Based Eigenvalue

10.11591/ijeecs.v3.i2.pp273-281
Lawrence Bibaya , Chongru Liu
In this paper, an eigenvalue assignment based Particle Swarm Optimization and Participation Factor for Optimal tuning and placement of power system stabilizers is proposed. The proposed approach presents a two-step methodology to find optimal location and parameters of PSS. The Participation Factor method is computed using the modal analysis toolbox from DIgSILENT, and used to determine the power system stabilizers optimal location. A Particle Swarm Optimization algorithm is written in MATLAB to search the power system stabilizers optimal parameters. Two eigenvalue-based objective functions to ensure a maximum damping of the inter-area modes as well as of the local modes by assigning them in a robust stability area are considered. The performance of the proposed approach is tested and examined on the four-machine two-area power system. Linear modal analysis and non-linear time domain simulations show the robustness of the proposed approach.
Volume: 3
Issue: 2
Page: 273-281
Publish at: 2016-08-01

TreeNet Analysis of Human Stress Behavior using Socio-Mobile Data

10.11591/ijeecs.v3.i2.pp446-452
B Padmaja , V V Rama Prasad , K V N Sunitha
Human behavior is essentially social and humans start their daily routines by interacting with others. There are many forms of social interactions and we have used mobile phone based social interaction features and social surveys for finding human stress behavior. For this, we gathered mobile phone call logs data set containing 111444 voice calls of 131 adult members of a living community for a period of more than 5 months. And we identified that top 5 social network measures like hierarchy, density, farness, reachability and eigenvector of individuals have profound influence on individuals stress levels in a social network. If an ego lies in the shortest path of all other alters then the ego receives more information and hence is more stressed. In this paper, we have used TreeNet machine learning algorithm for its speed and immune to outliers. We have tested our results with another Random Forest classifier as well and yet, we found TreeNet to be more efficient. This research can be of vital importance to economists, professionals, analysts, and policy makers.
Volume: 3
Issue: 2
Page: 446-452
Publish at: 2016-08-01

Testing MANET Protocol using Zigbee based Xbee Modules

10.11591/ijeecs.v3.i2.pp441-445
S. Sundar , Piyush Arora , Sarthak Agrawal , R. Kumar , Harish M. Kittur
In the last few years,there has been big interest in adhoc wireless network as they have tremendous military and commercial potential[1].Traditionally to test various parameters in the MANET , the most popular approach is to use mobile phone and Laptops and use the popular WIFI based protocol . But in the recent years there is a huge attraction towards the Internet Of things and specifically wireless sensor network. In this paper we are going to test the MANET protocol using zigbee based XBee modules specifally to determine the Range and Throughput of the Xbee netowork using XCTU Software . The sensor network will be deployed in the car parking application to see the parameters in the real time and dynamically see the sustainability of the network .The network is being designed keeping in mind that the nodes are mobile and at the same time the network does not require a standard infrastructure.
Volume: 3
Issue: 2
Page: 441-445
Publish at: 2016-08-01

Finding Hidden Communities in Complex Networks from Chaotic Time Series

10.11591/ijeecs.v3.i2.pp350-355
Jiancheng Sun
Recent works show that complex network theory may be another powerful tool in time series analysis. In this paper, we construct complex networks from the chaotic time series with Maximal Information Coefficient (MIC). Each vector point in the reconstructed phase space is represented by a single vertex and edge determined by MIC. By using the Chua’s circuit system, we illustrate the potential of these complex network measures for the detection of the topology structure of the network. Comparing with the linear relationship measure, we find that the topology structure of the community with MIC reveals the hidden or implied correlation of the network.
Volume: 3
Issue: 2
Page: 350-355
Publish at: 2016-08-01

Impulsive Noise Cancellation from ECG Signal using Adaptive Filters and their Comparison

10.11591/ijeecs.v3.i2.pp369-376
Mihir Narayan Mohanty , Sarthak Panda
Impulsive Noise is the sudden burst noise of short duration. Mostly it causes by electronic devices and electrosurgical noise in biomedical signals at the time of acquisition. In this work, Electrocardiograph (ECG) signal is considered and tried to remove impulsive noise from it. Impulsive noise in ECG signal is random type of noise. The objective of this work is to remove the noise using different adaptive algorithms and comparison is made among those algorithms. Initially the impulsive noise in sinusoidal signal is synthesized and tested for different algorithms like LMS, NLMS, RLS and SSRLS. Further those algorithms are modified in a new way to weight variation. The proposed novel approach is applied in the corrupted ECG signal to remove the noise. The effectiveness of the proposed approach is verified for ECG signal with impulsive noise as compared to the traditional approaches as well as previously proposed approaches. Also the performance of our approach is validated by SNR computation. Significant improvement in SNR is achieved after removal of noise.
Volume: 3
Issue: 2
Page: 369-376
Publish at: 2016-08-01

Hardware Implementation of Cascaded Hybrid Multilevel Inverter with Reduced Number of Switches

10.11591/ijeecs.v3.i2.pp314-322
Chinnapettai Ramalingam Balamurugan , S.P. Natarajan , T.S. Anandhi , R. Bensaraj
This paper presents the comparison of various multicarrier Pulse Width Modulation (PWM) techniques for the Cascaded Hybrid Multi Level Inverter (CHBMLI). Due to switch combination redundancies, there are certain degrees of freedom to generate the five level AC output voltage. This paper presents the use of Control Freedom Degree (CFD) combination. The effectiveness of the PWM strategies developed using CFD are demonstrated by simulation and experimentation.  The simulation results indicate that the chosen five level inverter triggered by the developed Phase Disposition(PD), Phase Opposition and Disposition(POD), Alternate Phase Opposition and Disposition (APOD), Carrier Overlapping (CO), Phase Shift (PS) and Variable Frequency (VF) PWM strategies developed are implemented in real time using FPGA. The simulation and experimental outputs closely match with each other validating the strategies presented.
Volume: 3
Issue: 2
Page: 314-322
Publish at: 2016-08-01

Development of System Tracer of Lost Aircraft

10.11591/ijict.v5i2.pp68-72
Siswayudi Azhari
Today the world has entered the era of modern air transport where human movement needed to support facilities and infrastructure that support for the movement of activity. The number of routes and flights are always growing by leaps and bounds every year.In Indonesia alone by more than 10 of the largest airliner in which two, namely Garuda Indonesia and Lion Airline, based on data in 2012 each have no less than 50 routes per day and more than 4,000 flights per week [1] (web magazine ZonaAero). To support the security and safety of air transport, the government through the aviation authorities are trying to build an adequate infrastructure. A number of local governments and central government together with Angkasa Pura and Airnav Indonesia (LPPNPI) has a lot to develop the airport terminal, lengthen and widen the runway, install instrument flight (radar, DVOR, ILS etc.), and make the regulations more guarantees The good level of a security and aviation safety.However, for things that are not desirable that may occur as aircraft accidents, it is necessary to support the system also prepared to facilitate the search for the location of the accident. Still clear in our memory how when, on May 9, 2012 a plane Sukhoi Superjet 100 has crashed in the promotion and demonstration flights. It takes more than one day to find the crash site in the area around Mount Salak located less than 100 kilometers from the capital city of Jakarta [2] (Indonesia Wikipedia).The distance of time ranging from a loss of communication with the aircraft until the discovery of the accident scene will be very good if it can be reduced to as small as possible. This will help Basarnas and NTSC accelerate the process of investigation and to provide certainty for the families of the victims as well as those of other interested parties.Location tracking system of aircraft accident would be able to find the location of a plane crash just a few moments after the breakdown of communication between the aircraft control tower / flight controller.
Volume: 5
Issue: 2
Page: 68-72
Publish at: 2016-08-01

The Research on Intelligent Seating Position Type LED Table Lamp

10.11591/ijeecs.v3.i2.pp331-335
Ling Liu , Qi Wang
Taking STC89C52RC single-chip as control core, this research realizes intelligent control function, which can automatically detect whether there is someone in the room and turn on/off LED table lamp; brightness of LED lamp can be adjusted with manual mode. In addition to that, it also has other functions such as displaying time and date, and posture correction. In general, time, data and brightness can be regulated through key module. 8 high brightness white LED are used in illumination module, among which, light sensitive module is applied for testing luminous intensity of environment; ultrasonic distance measuring module is utilized for detecting the distance from men to table lamp through transmitting and receiving ultrasound. In the evening, light is on when the distance from men to table lamp is within certain range; and light is off when exceeding this range. However, if the distance is lower than the specified minimum distance, buzzer will alarm to warn user that the seating position needs to be corrected. C language programming is employed for the integrated software to achieve the overall control function.
Volume: 3
Issue: 2
Page: 331-335
Publish at: 2016-08-01

An Improved Chaos Electromagnetism Mechanism Algorithm for Path Optimization Problem

10.11591/ijeecs.v3.i2.pp475-480
Shoulin Yin , Jie Liu , Lin Teng
As we all know, traditional electromagnetism mechanism (EM) algorithm has the disadvantage with low solution precision, lack of mining ability and easily falling into precocity. This paper proposes a new chaos electromagnetism mechanism algorithm combining chaotic mapping with limited storage Quasi-Newton Method (EM-CMLSQN). Its main idea is that it adopts limit quasi-Newton operator to replace the local optimization operator in EM algorithm for local searching in the late of algorithm. In the process of algorithm, the chaos mapping is introduced into optimization processes, and it generates new individuals to jump out of local to maintain the population diversity according to characteristics of chaos mapping random traversal. Finally, the experiments show that the new algorithm can effectively jump out of local optimal solution through comparing three continuous space test functions. The new algorithm has obvious advantages in terms of convergence speed compared to traditional EM algorithm, in addition, it is more accuracy than particle swarm optimization (PSO) algorithm. We compare the new chaos electromagnetism mechanism algorithm with ant colony optimization (ACO) algorithm, PSO algorithm, the results represent that new scheme can obtain the optimal path in the path optimization process, which shows that the new method has better applicability in the discrete domain problem.
Volume: 3
Issue: 2
Page: 475-480
Publish at: 2016-08-01
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