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

28,593 Article Results

Research on Iris Recognition Method Based on Quantum Algorithms

10.11591/ijeecs.v12.i9.pp6846-6851
Hui Li , Suyan Zhang , Zhanzhan Zhang
Traditional iris recognition method has low speed and searching rate in large-scale unstructured database. Three different quantum algorithms are proposed in iris recognition. Quantum filtering algorithm can get a better filtering result than classical algorithm in iris filtering process. Quantum Fourier transforms exhibits an exponential speed-up compared with discrete Fourier transform in feature extraction. Improved Grover algorithm can reduce the matching time in the step of iris matching. The experiment results show that matching numbers and matching time reduce greatly.
Volume: 12
Issue: 9
Page: 6846-6851
Publish at: 2014-09-01

Fuzzy PID Speed Control of Two Phase Ultrasonic Motor

10.11591/ijeecs.v12.i9.pp6560-6565
Ma Qiujie , Shi Jingzhuo
Because of ultrasonicmotor’s time-variable nonlinearity, a online adaptive correction of PID controlparameters based on fuzzy logic is presented. The special nature of ultrasonicmotor’s speed control are fully taken into account in designing fuzzy rules.The amplitude of driving voltage is used as the control parameter to realizethe control method. The experiments indicate that the control characteristicsare much better than that of PID controller.
Volume: 12
Issue: 9
Page: 6560-6565
Publish at: 2014-09-01

Wireless Power Transfer by Using Solar Energy

10.12928/telkomnika.v12i3.93
M.; Universiti Malaysia Perlis Fareq , M.; Universiti Malaysia Perlis Fitra , M.; Universiti Malaysia Perlis Irwanto , Syafruddin; Universiti Malaysia Perlis HS , N.; Universiti Malaysia Perlis Gomesh , M.; Universiti Malaysia Perlis Rozailan , M.; Universiti Malaysia Perlis Arinal , Y.M.; Universiti Malaysia Perlis Irwan , J.; Universiti Malaysia Perlis Zarinatul
This project is based on how to transmit electrical power without wires, using solar energy as source. The power is transferred wirelessly through an inductive coupling method. With this new discovery, we no longer need complicated with the cable passing around us, with Power without Wires (Wireless Electricity) we can use our electronic equipment such as TV, MP3 Player, HiFi Headset; everything works without the use of batteries or electrical wiring. In fact, mobile devices such as laptop batteries, mobile phone, or digital camera filled automatically, so once you enter the house, of course without having to plug in the cable. The project is offer to study and fabricate wireless power transfer by using inductive coupling. Experiments have been conducted and the wireless power transfer using inductive coupling can be transfer energy up to 10 cm.
Volume: 12
Issue: 3
Page: 519-524
Publish at: 2014-09-01

Application of adaptive predictive Deconvolution in Marine Seismic Data

10.11591/ijeecs.v12.i9.pp6827-6832
Si-xin Zhu , Bin Wang
Aiming at reverberation and interlayer multiple short period common multiples, with predictive deconvolution multiple attenuation methods exist this problem several residues, through the design of adaptive filter, iterative formula of least mean square algorithm to update the adaptive predictor of key parameters of deconvolution, predictive step and factor by multiple wave length distribution period and different to automatically set the range. Through the model experiment, the method of reverberation, interlayer multiples were especially obvious effect data, and verified by practical data analysis maps, some key results contrast income, show that the method has a good application prospect.
Volume: 12
Issue: 9
Page: 6827-6832
Publish at: 2014-09-01

Tissue Flow Detection Using Fuzzy Logic Method in Color Flow Imaging

10.11591/ijeecs.v12.i9.pp6840-6845
Xiaoming Zhou , Wen Liu
Tissue/flow detection is critical for high quality 2-D color flow image. The traditional tissue/flow detection method is based on one or several thresholds which are used for parameters after autocorrelation. Generally a lot of parameters: flow magnitude, variance and velocity are applied for tissue/flow detection. But this method may not distinguish tissue/flow because of moving tissue or noise. So in this paper, fuzzy logic method with multi-level range based on in vivo carotid I/Q data was proposed with three parameters: echo amplitude, flow magnitude and Flow variance for tissue/flow detection and then decision look-up-table (LUT) was designed for real time display. Experiment results shows that fuzzy logic method was improved for tissue flow detection significantly and can get high quality 2-D color flow image.
Volume: 12
Issue: 9
Page: 6840-6845
Publish at: 2014-09-01

Combine Target Extraction and Enhancement Methods to Fuse Infrared and LLL Images

10.12928/telkomnika.v12i3.81
Yong; Chongqing University of Posts and Telecommunications Chen , Xiong; Chongqing University of Posts and Telecommunications Jie , Huan-lin; Key Laboratory of Optical Fiber Communication Technology Liu , Qiang; Chongqing University of Posts and Telecommunications Fan
For getting the useful object information from infrared image and mining more detail of low light level (LLL) image, we propose a new fusion method based on segmentation and enhancement methods in the paper. First, using 2D maximum entropy method to segment the original infrared image for extracting infrared target, enhancing original LLL image by Zadeh transform for mining more detail information, on the basis of the segmented map to fuse the enhanced LLL image and original infrared image. Then, original infrared image, the enhanced LLL image and the first fused image are used to realize fusion in non-subsampled contourlet transform (NSCT) domain, we get the second fused image. By contrast of experiments, the fused image of the second fused method’s visual effect is better than other methods’ from the literature. Finally, Objective evaluation is used to evaluate the fused images’ quality, its results also show that the proposed method can pop target information, improve fused image’s resolution and contrast.
Volume: 12
Issue: 3
Page: 605-612
Publish at: 2014-09-01

STATCOM Model for Integration of Wind Turbine to Grid

10.11591/ijeecs.v12.i9.pp6519-6525
Rajib Baran Roy , Md. Rokonuzzaman
In order to reduce the green house gas emission and dependency on conventional energy sources, the utilization of renewable energy sources for electricity generation is increasing day by day. The performance of the wind turbine as well as the power quality is determined according to the guidelines and regulations of IEC-61400 (International Electro-technical Commission) standard. When wind turbine is connected to a grid system, the power quality measurements like active power, reactive power, frequency, voltage sag, voltage swell, flicker and harmonics are needed to be considered. In this paper, a STATCOM (static compensator) model is proposed for improving the power quality in case of feeding electricity generated from the wind turbine into the grid.The proposed STATCOM control scheme for improving the wind power quality is designed and simulated by using Simpower toolbox of MATLAB Simulink. According to the simulated results, the bus voltage is improved after adding STATCOM in the simulated model which justifies the feasibility and practicability of the proposed FACTS (Flexible AC transmission system) device.
Volume: 12
Issue: 9
Page: 6519-6525
Publish at: 2014-09-01

Estimated Spectral Reflectances of Jati Belanda Leaf Using Fourier Transformation

10.11591/ijeecs.v12.i9.pp6958-6964
Dhieka Avrilia Lantana , Yeni Herdiyeni , Irmanida Batubara
This research proposes new method to estimate spectral reflectances of Jati Belanda (Guazuma ulmifolia) leaf based on digital image color. Jati Belanda is a medicinal plant containing antioxidant compounds. Spectral reflectances can be used to estimate chemical compounds but the tools to obtain spectral reflectances is very expensive. To estimate the Jati Belanda leaf reflectance values based on digital image color, we used Fourier Transformation. The estimated spectral reflectances is evaluated using root mean square error (RMSE) and goodness-of-fit coefficient (GFC). According to the experiment, dataset used is 276 leaves of medicinal plants and the best polynomial transformation is 3rd order with RMSE value 4,83 and GFC value 0.96. The future work could estimate the amount of chemical compounds in Jati Belanda Leaf using estimated spectral reflectances. Estimated spectral reflectances is  an important part of estimated the amount of chemical compounds.
Volume: 12
Issue: 9
Page: 6958-6964
Publish at: 2014-09-01

Some Results of Bondage Number of (n,k)-Star Graphs

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/2645
Yunchao Wei , Hongxian Zhu , Junli Han
In the computer network, bondage number is one of the most important parameters to measure the control theory of the computer network, denoted by b(G) for a network graph G. But predecessors have proved that computing them are very hard. So computing b(G) of some particular known gr-aphs is extremely valuable. In this paper, we determine b(Sn,2) and the precise lowerbound of b(G) of (n,k)-star graphs, denoted by Sn,k followed by some relative conclusions of n-star, denoted by Sn as the isomorphism of Sn,n-1. In addition, our method giving dominating set of Sn,k is easily understood, which presented a broadcast algorithm to determine dominating set of Sn,k. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3285  
Volume: 11
Issue: 9
Page: 5316-5321
Publish at: 2014-09-01

Matrix Mask Overlapping and Convolution Eight Directions for Blood Vessel Segmentation on Fundus Retinal Image

10.12928/telkomnika.v12i3.97
Arif; Trunojoyo University - Madura Muntasa , Indah Agustien; Trunojoyo University - Madura Sirajudin , Moch Kautsar; Trunojoyo University - Madura Sophan
Diabetic Retinopathy is one of the diseases that have the effect of a high mortality rate after heart disease and cancer.  However, the disease can be early detected through blood vessels and the optic nerve head in Fundus images. Blood vessels separation of the optic nerve head required high effort when it is conducted manually, therefore it is necessary that the appropriate method to perform segmentation of the object. Level Set method is well-known as object segmentation method based on object deformable. However, the methods have the disadvantage; it requires initialization before the segmentation process. In this research, segmentation method without initialization process is proposed. The segmentation is conducted by using the maximum value selection results of convolution 8 directions. Experimental results show that, proposed method has obtained 89.48% accuracy. Segmentation errors are caused by small branches, where they are not connected, so that the objects are supposed as noises
Volume: 12
Issue: 3
Page: 631-638
Publish at: 2014-09-01

Effect of Feature Selection on Small and Large Document Summarization

10.11591/ijai.v3.i3.pp112-120
Dipti Yashodhan Sakhare , Rajkumar Rajkumar
As the amount of textual Information increases, we experience a need for Automatic Text Summarizers. In Automatic summarization a text document or a larger corpus of multiple documents are reduced to a short set of words or paragraph that conveys the main meaning of the text Summarization can be classified into two approaches: extraction and abstraction. This paper focuses on extraction approach.The goal of text summarization based on extraction approach is sentences selection. The first step in summarization by extraction is the identification of important features. In our approach short stories and biographies are used as test documents. Each document is prepared by pre-processing process: sentence segmentation, tokenization, stop word removal, case folding, lemmatization, and stemming. Then, using important features, sentence filtering, data compression and finally calculating score for each sentence is done. In this paper we proposed various features of Summary Extraction and also analyzed features that are to be applied depending upon the size of the Document. The experimentation is performed with the DUC 2002 dataset. The comparative results of the proposed approach and that of MS-Word are also presented here. The concept based features are given more weightage. From these results we propose that use of the concept based features helps in improving the quality of the summary in case of large documents.
Volume: 3
Issue: 3
Page: 112-120
Publish at: 2014-09-01

Robust Provable Data Possession Protocol

10.11591/ijeecs.v12.i9.pp6969-6977
Chao Feng , Yixian Yang , Jing Zhang , Yang Xin
Provable data possession (PDP) is a technique for ensuring the validity of data in storage outsourcing. The main issue is how to frequently, efficiently verify that an untrusted server is correctly storing its client’s outsourced data. In this paper, we introduce a robust provable data possession protocol that allows a client that has stored he/her data at an untrusted server to verify the validity of data without retrieving it. The client preprocesses the data and sends it to an untrusted server for storage, while keeping a small amount of meta-data. Then the client generates probabilistic proofs of possession by sampling a random set of blocks from the server to prove that the stored data has not been tampered with or deleted, which drastically reduces I/O costs. In additions, by means of the careful integration of online codes and PDP (O-PDP), the scheme can recovers a small amount of the file, once it has been deleted. Finally, we conduct an experimental evaluation to study the performance, and robustness of O-PDP.
Volume: 12
Issue: 9
Page: 6969-6977
Publish at: 2014-09-01

Performance of Chaos-Based Encryption Algorithm for Digital Image

10.12928/telkomnika.v12i3.106
Suryadi; Department of Mathematics Universitas Indonesia MT , Eva; Department of Mathematics Nurpeti
Presentation of information in digital form is highly vulnerable againts information abusing. Digital image is one of digital information which is frequently becomes a target of crime. Therefore, reliable, secure, and fast security technique are required in digital image information. In this study, chaos-based encryption algorithm for digital image is built to improve endurance from brute force and known plaintext attack. The algorithm using logistic map as a random number generator for key stream. According to test and analysis, this algorithm has key space of , key sensitivity up to , the key stream is proved random, and the distribution of pixels value from encrypted image is proved uniform. So, it can be concluded that, the algorithm is very difficult to be cracked by brute force attack and also known plaintext attack.
Volume: 12
Issue: 3
Page: 675-682
Publish at: 2014-09-01

Improved SPRINT Algorithm and its Application in the Physical Data Analysis

10.11591/ijeecs.v12.i9.pp6909-6920
Yazhi Ding , Zhigao Zheng , Ma Rong
In order to determine the human physical condition according to the conventional tested data quickly and accurately, in this paper we proposed a trend selection based scalable parallelizable induction of decision trees algorithm (TESTSPRINT), based on the concept of pure interval and trend selection method. Based on the basic test data such as height, weight and grip strength, we can create a human physical condition decision tree quickly; according to the decision tree we can determine human physical health status quickly. Theoretic analysis and experimental demonstrations show that the algorithms this paper proposed outperforms existing algorithms in time and space complexity, and it was proved fruitful applications in the decision human physical health status with high accuracy.
Volume: 12
Issue: 9
Page: 6909-6920
Publish at: 2014-09-01

Structure and Mechanical Analysis of Single Cantilever Piezoelectric Energy Harvester

10.11591/ijeecs.v12.i9.pp6479-6493
Jie Zhao , Fenglin Yao , Shiqiao Gao
Cantilever energy harvester has become the main structure in piezoelectric energy harvester. There are two different methods to build their model. One is lumped parameter model; the other is distributed parameter model. By building their govern equation and solving them, amplitude-frequency characteristics, power and natural frequency of the model are obtained. Comparison of model frequency and amplitude are made between two models. Problems, scope of application and correct method for energy harvester are also given which provides reliable theoretical reference and makes solid foundation for energy harvester design.
Volume: 12
Issue: 9
Page: 6479-6493
Publish at: 2014-09-01
1 2 3
...
1906 1907
Show 1690 of 1907

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