Publisher: ECTI Association   (Total: 2 journals)   [Sort by number of followers]

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ECTI Transactions on Computer and Information Technology (ECTI-CIT)     Open Access  
ECTI Transactions on Electrical Engineering, Electronics, and Communications     Open Access   (Followers: 2)
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ECTI Transactions on Computer and Information Technology (ECTI-CIT)
Number of Followers: 0  

  This is an Open Access Journal Open Access journal
ISSN (Online) 2286-9131
Published by ECTI Association Homepage  [2 journals]
  • Watermarking in dot-diffusion halftones using adaptive class-matrix and
           error diffusion

    • Authors: Jing-Ming Guo, Sankarasrinivasan Seshathiri
      Pages: 1 - 8
      Abstract: Digital halftoning deals with transforming a gray or color image into its binary version which is useful in printing applications. Dot diffusion is one of the prominent halftone methods which can yield superior image quality with parallel processing capabilities. In this paper, a rapid watermarking algorithm is proposed for dot-diffusion halftone images using adaptive class-matrix selection and modified error diffusion kernels. To process the image using an adaptive class matrix, the processing order of the class matrix is reversed and transposed, and for error diffusion the coefficients are replaced with different weights. For decoding, an effective strategy is proposed based on a correlation analysis and halftone statistics. The proposed strategy can successfully embed and decode the binary watermark from a single dot-diffused halftone image. From the experimental results, the proposed method is found to be effective in terms of good decoding accuracy, imperceptibility and robustness against various printed distortions.
      PubDate: 2019-06-19
      Issue No: Vol. 13, No. 1 (2019)
       
  • ZVS-Operation of LLC Resonant Inverter with Phase Limit Control for
           Induction furnace

    • Authors: Piyasak Kranprakon, Anawach Sangswang, Sumate Naetiladdanon
      Pages: 9 - 16
      Abstract: This paper presents an LLC resonant inverter with phase limit control to guarantee zero voltage switching (ZVS) operation and protect switching devices from spike current during the heating process. The output power is controlled by using the asymmetrical duty cycle (ADC) modulation. With phase limit control, the non-ZVS operation and spike current caused by a change of duty cycle with fixed frequency and load Curie’s temperature can be eliminated. The proposed method is confirmed through computer simulation and hardware experiment. The experimental results are provided with the heating of a 300 g of Tin from room temperature until melting at
      232 ˚C.
      PubDate: 2019-04-05
      Issue No: Vol. 13, No. 1 (2019)
       
  • Optimal Power Flow for Enhance TTC with Optimal Number of SVC by using
           Improved Hybrid TSSA

    • Authors: Suppakarn Chansareewittaya
      Pages: 17 - 28
      Abstract: In this paper, the hybrid tabu search and simulated annealing (TSSA) method are modified for improving. The main point of modification is to apply sine value into the value of the temperature of simulated annealing. This modification aims to reduce the disadvantage of the original hybrid TSSA. This disadvantage means the value of each parameter is only increased to the maximum value of the temperature of simulated annealing. The optimal number of flexible alternating current transmission system (FACTS) controller determining method is used to determine optimal number of FACTS. SVC is used as FACTS controller in this paper. The split search space method is integrated to manage search space of static var compensator (SVC) operating point. The allocations of SVCs are used to enhance total transfer capability (TTC). Test results on the IEEE 118-bus system and the practical Electricity Generating Authority of Thailand (EGAT) 58-bus system show that the proposed improved hybrid TSSA with optimal number determining method of SVC give higher TTC and less number of SVC than test results from evolutionary programming (EP) and original hybrid TSSA.
      PubDate: 2019-05-04
      Issue No: Vol. 13, No. 1 (2019)
       
  • The Time Dimensional Measurability Aware FDE Based Analysis of Active
           Circuit in The Fractional Domain

    • Authors: Rawid Banchuin, Roungsan Chaisricharoen
      Pages: 29 - 40
      Abstract: In this research, the analysis of the active circuit in the fractional domain has been performed by using the fractional differential equation approach where the
      measurability in time dimension of the derivative term has also been concerned unlike the previous work. The OTA-C filter has been adopted as the candidate active circuit due to its compactness and renown. The derivative term of the fractional differential equation which includes the fractional time component parameters for obtaining such time dimensional measurability, has been interpreted in Caputo sense and the analytical solution of such equation has been determined with the aid of Laplace transformation. With the obtained solution, the time dimensional measurability aware fractional derivative based circuit responses to various inputs have been determined, the circuit fractional time constant and other crucial time parameters has been determined and the
      temporal behaviour of the circuit has been analysed in the fractional domain. The loci of the pole on W-plane has been determined and the stability analysis has also been presented. Moreover, we also mathematically proof that the OTA-C filter in the fractional domain can be electronically realized with time dimensional
      measurability awareness by using the state of the art fractional capacitor.
      PubDate: 2019-06-17
      Issue No: Vol. 13, No. 1 (2019)
       
  • Fuzzy based Risk Predictive Model for Cardiovascular Complication of
           Patient with Type 2 Diabetes Mellitus and Hypertension

    • Authors: Napa Rachata, Punnarumol Temdee, Worasak Rueangsirarak, Chayapol Kamyod
      Pages: 41 - 50
      Abstract: Cardiovascular diseases are chronic diseases that cause serious morbidity and mortality worldwide. Unfortunately, the patients with type 2 diabetes mellitus and hypertension have a high risk of having a cardiovascular complication. For these reasons, patients with type 2 diabetes mellitus and hypertension should be aware of cardiovascular complication along their healthcare journey. To prevent cardiovascular complication from diabetes and hypertension, accurate risk prediction is required for a long term self-management process. Consequently, this paper proposes a fuzzy logic based method for predicting cardiovascular risk particularly for a patient with type 2 diabetes mellitus and hypertension. This paper also proposes a set of factors based on the patient’s lifestyle as the key factors besides clinical factors because of their implicit impact on the quality of life of the patient. The proposed model thus employs 15 predictors for both clinical and lifestyle risk factors. Additionally, the proposed model is constructed based on the scientific data and implicit knowledge of the experts. The experiment with 121 patients shows that the proposed prediction model provides 96.69% accuracy compared to those decided by the experts.
      PubDate: 2019-06-23
      Issue No: Vol. 13, No. 1 (2019)
       
  • Kernel Principal Component Analysis Allowing Sparse Representation and
           Sample Selection

    • Authors: Duo Wang, Toshihisa Tanaka
      Pages: 51 - 62
      Abstract: Kernel principal component analysis (KPCA) is a kernelized version of principal component analysis (PCA). A kernel principal component is a superposition of kernel functions. Due to the number of kernel functions equals the number of samples, each component is not a sparse representation. Our purpose is to sparsify coefficients expressing in linear combination of kernel functions, two types of sparse kernel principal component are proposed in this paper. The method for solving sparse problem comprises two steps: (a) we start with the Pythagorean theorem and derive an explicit regression expression of KPCA and (b) two types of regularization $l_1$-norm or $l_{2,1}$-norm are added into the regression expression in order to obtain two different sparsity form, respectively. As the proposed objective function is different from elastic net-based sparse PCA (SPCA), the SPCA method cannot be directly applied to the proposed cost function. We show that the sparse representations are obtained in its iterative optimization by conducting an alternating direction method of multipliers. Experiments on toy examples and real data confirm the performance and effectiveness of the proposed method.
      PubDate: 2019-06-23
      Issue No: Vol. 13, No. 1 (2019)
       
 
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