• Journal of Korea Multimedia Society
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• v.17 no.10
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• pp.1171-1181
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• 2014

In this paper, we propose improved methods which are image conversion and extraction method of watershed seed using morphological characteristic of teeth on complement image. Conventional tooth segmentation methods are occurred low detection ratio at molar region and over, overlap segmentation owing to specular reflection and morphological feature of molars. Therefore, in order to solve the problems of the conventional methods, we propose the image conversion method and improved extraction method of watershed seed. First, the image conversion method is performed using RGB, HSI space of tooth image for to extract boundary and seed of watershed efficiently. Second, watershed seed is reconstructed using morphological characteristic of teeth. Last, individual tooth segmentation is performed using proposed seed of watershed by watershed algorithm. Therefore, as a result of comparison with marker controlled watershed algorithm and the proposed method, we confirmed higher detection ratio and accuracy than marker controlled watershed algorithm.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.41 no.7
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• pp.7-12
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• 2004

An improved extraction method considering ac current crowding effect is investigated to determine intrinsic ( $C_{\mu}$) and extrinsic ( $C_{\mu}$) base-collector capacitances of bipolar junction transistors separately. The drawbacks of conventional methods are pointed out, and the improved extraction equations are derived from a cutoff mode equivalent circuit with the ac crowding capacitance. The frequency response curves of modeled current and power gains using the extracted values of $C_{\mu}$ and $C_{\mu}$ have much better agreements with measured ones than those of the conventional methods, verifying the accuracy of the improved technique.

• Journal of International Academy of Physical Therapy Research
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• v.12 no.2
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• pp.2331-2337
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• 2021

Background: More women than men experience genu recurvatum, which can lead to knee pain and arthritis if left unattended. Pilates combined with taping is a suitable rehabilitation method for women with genu recurvatum. Objectives: To aimed the effect of taping and Pilates stabilization exercise on physical alignment and improvement of genu recurvatum in women with genu recurvatum. Design: A Randomized controlled trial. Methods: Twenty-one women were divided into three groups: taping group (back of knee taping and quadriceps femoris taping, n=7), Pilates exercise group (hip, knee and abdominal muscles exercise, n=7), and combined group (taping with pilates exercise, n=7). The measured variables were sagittal plane alignment and back and abdominal muscle, knee flexor and extensor strength. Results: After the intervention, all sagittal plane alignments were significantly improved in both the Pilates and combined groups. Sagittal plane alignment was significantly improved in the combined group compared with the taping group. Back and abdominal muscle strength were significantly improved in the Pilates and combined groups compared with the taping group. Knee flexor and extensor were significantly improved in the combined group compared with the Pilates group and in the Pilates group compared with the taping group. Conclusion: Pilates exercise with taping or Pilates exercise alone was effective intervention methods to improve physical alignment and strength in women with genu recurvatum.

• Smart Structures and Systems
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• v.28 no.6
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• pp.811-825
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• 2021

High-voltage isolating switches play a paramount role in ensuring the safety of power supply systems. However, their exposure to outdoor environmental conditions may cause serious physical defects, which may result in great risk to power supply systems and society. Image processing-based methods have been used for anomaly detection. However, their accuracy is affected by numerous uncertainties due to manually extracted features, which makes the anomaly detection of isolating switches still challenging. In this paper, a vision-based anomaly detection method for isolating switches, which uses the rotational angle of the switch system for more accurate and direct anomaly detection with the help of deep learning (DL) and image processing methods (Single Shot Multibox Detector (SSD), improved frame differencing method, and Hough transform), is proposed. The SSD is a deep learning method for object classification and localization. In addition, an improved frame differencing method is introduced for better feature extraction and a hough transform method is adopted for rotational angle calculation. A number of experiments are conducted for anomaly detection of single and multiple switches using video frames. The results of the experiments demonstrate that the SSD outperforms the You-Only-Look-Once network. The effectiveness and robustness of the proposed method have been proven under various conditions, such as different illumination and camera locations using 96 videos from the experiments.

• The Korean Journal of Applied Statistics
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• v.25 no.6
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• pp.1049-1058
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• 2012

Nonparametric methods are often used as an alternative to parametric methods to estimate density function and regression function. In this paper we consider improved methods to select the Bezier points in Bezier curve smoothing that is shown to have the same asymptotic properties as the kernel methods. We show that the proposed methods are better than the existing methods through numerical studies.

• Journal of the Korea Institute of Military Science and Technology
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• v.16 no.2
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• pp.185-190
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• 2013

The previous steganographic methods by using the interpolation were difficult to estimate the distortion because the size of cover image is extended by interpolation algorithms. In this paper, to solve the problems of previous methods proposed the improved steganographic method based on the pixel replacement algorithms. In our method, we cannot extend a cover image, but also can estimate exactly the distortion of the stego-images. In the experimental results, the estimated distortion and embedding capacity of stego-image are shown on three pixel replacement methods.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.2264-2269
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• 2003

This paper presents an improved method that constructs an equivalent T-S fuzzy model for nonlinear systems expressed by nonlinear differential equations including terms of power series. The method in this paper has fewer numbers of the rules than the previous methods as well as exactly expresses nonlinear systems. Moreover, this method can get wider feasible area satisfying the stability conditions than the previous methods. We show the improvement of modeling by comparing the proposed method with two previous methods through an inverted pendulum on a cart.

• Journal of Korea Multimedia Society
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• v.7 no.12
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• pp.1737-1744
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• 2004

In the compression methods widely used today, the image compression by VQ is the most popular and shows a good data compression ratio. Almost all the methods by VQ use the LBG algorithm that reads the entire image several times and moves code vectors into optimal position in each step. This complexity of algorithm requires considerable amount of time to execute. To overcome this time consuming constraint, we propose an enhanced self-organizing neural network for color images. VQ is an image coding technique that shows high data compression ratio. In this study, we improved the competitive learning method by employing three methods for the generation of codebook. The results demonstrated that compression ratio by the proposed method was improved to a greater degree compared to the SOM in neural networks.

• Journal of the Semiconductor & Display Technology
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• v.12 no.1
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• pp.1-7
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• 2013

Grey-level statistical models have been widely used in many applications for object location and identification. However, conventional models yield some problems in model refinement when training images are not properly aligned, and have difficulties for real-time recognition of arbitrarily rotated models. This paper presents improved grey-level statistical models that align training images using image or feature matching to overcome problems in model refinement of conventional models, and that enable real-time recognition of arbitrarily rotated objects using efficient hierarchical search methods. Edges or features extracted from a mean training image are used for accurate alignment of models in the search image. On the aligned position and orientation, fitness measure based on grey-level statistical models is computed for object recognition. It is demonstrated in various experiments in PCB inspection that proposed methods are superior to conventional methods in recognition accuracy and speed.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.5 no.4
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• pp.378-385
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• 1995

The growth processes of improved methods for MBE, LPE and $\mu$ - PD methods are discussed taking the oxide materials, especially those of Bi - Sr - Ca - Cu family $LiNbO_3$ and $K_3Li_2Nb_5O_{15}$ family as examples. It is suggested that the crystal growth far from equilibr iu m including composition homogeneity has been achieved to satisfy in understanding and controlling the atomic interfaces.