• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.08a
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• pp.217-220
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• 2000

This paper describes the application of a neural network based adaptive line enhancer (ALE) for enhancement of the weak QRS complex corrupted with background noise. Modified fully-connected recurrent neural network is used as a nonlinear adaptive filter in the ALE. The connecting weights between network nodes as well as the parameters of the node activation function are updated at each iteration using the gradient descent algorithm. The real ECG signal buried with moderate and severe background noise is applied to the ALE. Simulation results show that the neural network based ALE performs well the enhancement of the QRS complex from noisy ECG signals.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.25 no.3
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• pp.107-116
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• 2021

We introduce optimization algorithms using Bregman Divergence for solving non-negative matrix factorization (NMF) problems. Bregman divergence is known a generalization of some divergences such as Frobenius norm and KL divergence and etc. Some algorithms can be applicable to not only NMF with Frobenius norm but also NMF with more general Bregman divergence. Matrix Factorization is a popular non-convex optimization problem, for which alternating minimization schemes are mostly used. We develop the Bregman proximal gradient method applicable for all NMF formulated in any Bregman divergences. In the derivation of NMF algorithm for Bregman divergence, we need to use majorization/minimization(MM) for a proper auxiliary function. We present algorithmic aspects of NMF for Bregman divergence by using MM of auxiliary function.

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.39-46
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• 2019

Human mobility estimation plays a key factor in a lot of promising applications including location-based recommendation systems, urban planning, and disease outbreak control. We study the human mobility estimation problem in the case where recent locations of a person-of-interest are unknown. Since matrix decomposition is used to perform latent semantic analysis of multi-dimensional data, we propose a human location estimation algorithm based on matrix factorization to reconstruct the human movement patterns through the use of information of persons with correlated movements. Specifically, the optimization problem which minimizes the difference between the reconstructed and actual movement data is first formulated. Then, the gradient descent algorithm is applied to adjust parameters which contribute to reconstructed mobility data. The experiment results show that the proposed framework can be used for the prediction of human location and achieves higher predictive accuracy than a baseline model.

• Journal of Integrative Natural Science
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• v.11 no.4
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• pp.204-208
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• 2018

Comparison of different optimizer performance in photovoltaic power modeling using artificial neural deep learning techniques is described in this paper. Six different deep learning optimizers are tested for Long-Short-Term Memory networks in this study. The optimizers are namely Adam, Stochastic Gradient Descent, Root Mean Square Propagation, Adaptive Gradient, and some variants such as Adamax and Nadam. For comparing the optimization techniques, high and low fluctuated photovoltaic power output are examined and the power output is real data obtained from the site at Mokpo university. Using Python Keras version, we have developed the prediction program for the performance evaluation of the optimizations. The prediction error results of each optimizer in both high and low power cases shows that the Adam has better performance compared to the other optimizers.

• Journal of Minimally Invasive Surgery
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• v.21 no.4
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• pp.177-179
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• 2018

A rectocele with a weakened rectovaginal septum can be repaired with various surgical techniques. We performed laparoscopic posterior vaginal wall repair and rectovaginal septal reinforcement without mesh using a modified transperineal approach. A 63-year-old woman with outlet dysfunction constipation complained of lower pelvic pressure and sense of heaviness for 30 years. Initial defecography showed an anterior rectocele with a 45-mm anterior bulge and perineal descent. Laparoscopic procedures included peritoneal and rectovaginal septal dissection directed toward the perineal body, rectovaginal septal suturing, and peritoneal closure. The patient started a soft diet the following day and was discharged on the 5th postoperative day without any complications. The patient had no dyschezia or dyspareunia, and no problem with bowel function; 3-month follow-up defecography showed a decrease in bulging to 18 mm. Laparoscopic posterior vaginal wall and rectovaginal septal repair is safe and feasible for treatment of a rectocele, and enables early recovery.

• Journal of English Language & Literature
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• v.64 no.3
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• pp.415-432
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• 2018

This essay reinterprets Joseph Conrad's The Heart of Darkness as satirical writing. In an experience-based fictional world, Conrad places imperial precursors who present themselves with a derogatory demeanor that stems from corrupt rapacity at its forefront. This rapacity is enabled by what European colonists believe to be a noble cause, regarded as a vehicle with which to enlighten African continent in his work. This essay reads this noble cause that allows such exorbitant and corrupt rapacity as a dominant element in the construction of Conrad's characters, particularly Kurtz, as objects of satire. Kurtz ends up beginning his calamitous descent into barbarism, mockingly quite opposite to what the colonial disciples misconceive themselves to be. In exhuming the satirical elements from the novel, this paper proves the significance of reading The Heart of Darkness as satire as an alternative reading to the racist book Chinua Achebe has accused it of.

• International Journal of Computer Science & Network Security
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• v.21 no.6
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• pp.200-206
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• 2021

Fraud in e-commerce transaction increased in the last decade especially with the increasing number of online stores and the lockdown that forced more people to pay for services and groceries online using their credit card. Several machine learning methods were proposed to detect fraudulent transaction. Neural networks showed promising results, but it has some few drawbacks that can be overcome using optimization methods. There are two categories of learning optimization methods, first-order methods which utilizes gradient information to construct the next training iteration whereas, and second-order methods which derivatives use Hessian to calculate the iteration based on the optimization trajectory. There also some training refinements procedures that aims to potentially enhance the original accuracy while possibly reduce the model size. This paper investigate the performance of several NN models in detecting fraud in e-commerce transaction. The backpropagation model which is classified as first learning algorithm achieved the best accuracy 96% among all the models.

• Nonlinear Functional Analysis and Applications
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• v.27 no.1
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• pp.203-221
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• 2022

In this paper, we introduce new hybrid inertial contraction projection algorithms for solving variational inequality problems over the intersection of the fixed point sets of demicontractive mappings in a real Hilbert space. The proposed algorithms are based on the hybrid steepest-descent method for variational inequality problems and the inertial techniques for finding fixed points of nonexpansive mappings. Strong convergence of the iterative algorithms is proved. Several fundamental experiments are provided to illustrate computational efficiency of the given algorithm and comparison with other known algorithms

• Medical Lasers
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• v.10 no.2
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• pp.120-122
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• 2021

Partial unilateral lentiginosis (PUL) is an unusual pigmentary disorder characterized by numerous lentigines on the skin, with onset usually during early childhood. It is characterized by unilateral segmental distribution with sharp margins in one or more dermatomes. Conventional laser treatments result in several adverse effects, such as mottled pigmentary changes (hyper or hypopigmentation), especially in people of Asian descent. A 57-year-old man with PUL on the neck was treated with a high-fluence 1,064-nm Q-switched (QS) neodymium-doped yttrium-aluminum-garnet (Nd:YAG) laser. After 20 treatment sessions, the lesions markedly improved without adverse effects or recurrence. We suggest that high-fluence 1,064-nm QS Nd:YAG laser treatment is an effective and safe modality for PUL.

• Journal of Advanced Navigation Technology
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• v.27 no.4
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• pp.391-395
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• 2023

Helicopter accidents due to spatial disorientation in low visibility conditions continue to persist as a major issue. These incidents often stem from human error, typically induced by stress, and frequently result in fatal outcomes. This study employs machine learning to analyze flight data and evaluate the efficacy of a flight illusion detection algorithm, laying groundwork for further research. This study collected flight data from approximately 20 pilots using a simulated flight training device to construct a range of flight scenarios. These scenarios included three stages of flight: ascending, level, and descent, and were further categorized into good visibility conditions and 0-mile visibility conditions. The aim was to investigate the occurrence of flight illusions under these conditions. From the extracted data, we obtained a total of 54,000 time-series data points, sampled five times per second. These were then analyzed using a machine learning approach.