• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제9권5호
• /
• pp.1840-1855
• /
• 2015

Troubles are often met when traditional active contours extract boundaries of medical images with inhomogeneous bias and various noises. Focusing on such a circumstance, a localized mutual information active contour model is discussed in the paper. By defining neighborhood of each point on the level set, mutual information is introduced to describe the relationship between the zero level set and image field. A driving energy term is then generated by integrating all the information. In addition, an expanding energy and internal energy are designed to regularize the driving energy. Contrary to piecewise constant model, new model has a better command of driving the contours without initialization.

• Journal of electromagnetic engineering and science
• /
• 제15권2호
• /
• pp.63-75
• /
• 2015

The CMOS power amplifier (PA) is a promising solution for highly-integrated transmitters in a single chip. However, the implementation of PAs using the CMOS process is a major challenge because of the inferior characteristics of CMOS devices. This paper focuses on improvements to the efficiency and linearity of CMOS PAs for modern wireless communication systems incorporating high peak-to-average ratio signals. Additionally, an envelope tracking supply modulator is applied to the CMOS PA for further performance improvement. The first approach is enhancing the efficiency by waveform engineering. In the second approach, linearization using adaptive bias circuit and harmonic control for wideband signals is performed. In the third approach, a CMOS PA with dynamic auxiliary circuits is employed in an optimized envelope tracking (ET) operation. Using the proposed techniques, a fully integrated CMOS ET PA achieves competitive performance, suitable for employment in a real system.

• Journal of Electrical Engineering and Technology
• /
• 제7권3호
• /
• pp.429-435
• /
• 2012

In this study, a real-time architecture for the detection of clock jumps in the GPS clock behavior is proposed. GPS satellite atomic clocks have characteristics of a second order polynomial in the long term showing sudden jumps occasionally. As satellite clock anomalies influence on GPS measurements which could deliver wrong position information to users as a result, it is required to develop a real time technique for the detection of the clock anomalies especially on the real-time GPS applications such as aviation. The proposed strategy is based on Teager Energy operator, which can be immediately detect any changes in the satellite clock bias estimated from GPS carrier phase measurements. The verification results under numerous cases in the presence of clock jumps are demonstrated.

• Journal of Information Processing Systems
• /
• 제20권2호
• /
• pp.159-172
• /
• 2024

The number of healthcare products available for pets has increased in recent times, which has prompted active research into wearable devices for pets. However, the data collected through such devices are limited by outliers and missing values owing to the anomalous and irregular characteristics of pets. Hence, we propose pet behavior recognition based on a hybrid one-dimensional convolutional neural network (CNN) and long short- term memory (LSTM) model using pet wearable devices. An Arduino-based pet wearable device was first fabricated to collect data for behavior recognition, where gyroscope and accelerometer values were collected using the device. Then, data augmentation was performed after replacing any missing values and outliers via preprocessing. At this time, the behaviors were classified into five types. To prevent bias from specific actions in the data augmentation, the number of datasets was compared and balanced, and CNN-LSTM-based deep learning was performed. The five subdivided behaviors and overall performance were then evaluated, and the overall accuracy of behavior recognition was found to be about 88.76%.

• Journal of Ginseng Research
• /
• 제34권4호
• /
• pp.342-347
• /
• 2010

Ginseng is one of the most-widely used herbal remedies. This systematic review evaluates the current evidence for its use in the reducing blood pressure (BP) in patients with hypertension. Systematic searches of 12 electronic databases were conducted without language restrictions. All randomized clinical trials (RCTs) of ginseng as a treatment for hypertension were candidates for inclusion. Methodological quality was assessed using the Cochrane risk of bias. Five RCTs met the inclusion criteria. The risk of bias was low in most of the trials. Four of the included RCTs compared the effectiveness of ginseng to placebo. The meta-analysis of these data failed to show a statistically significant acute effect on systolic BP (SBP) or diastolic BP (DBP). However, subgroup analyses showed beneficial effects of Korean red ginseng (KRG) on both SBP (n=54, mean difference [MD], -6.52; 95% confidence interval [CI], -9.99 to -3.04; p=0.0002) and DBP (n=54, MD, -5.21; 95% CI, -7.90 to -2.51; p=0.0001). Two RCTs tested the long-term effects of ginseng for BP for 24hours. One of these trials failed to show any benefits of KRG compared to no treatment, and the other failed to show superior effects of North American ginseng compared to placebo. Adverse events with ginseng were none in one trial or not assessed. Collectively, these RCTs provide limited evidence for the acute effectiveness of KRG in the treatment of high BP. The total number of RCTs included in the analysis and the total sample size were insufficient to draw definitive conclusions. More rigorous studies are warranted.

• 한방안이비인후피부과학회지
• /
• 제33권4호
• /
• pp.55-73
• /
• 2020

Objectives : We investigated the effectiveness and safety of intranasal phototherapy for allergic rhinitis (AR). Methods : We searched 8 electronic databases (PubMed, Cochrane Library, CNKI, CiNii Articles, OASIS, NDSL, KISS, KMbase) to identify randomized controlled trials (RCTs) that reported the use of intranasal phototherapy for AR from their inception until May 30, 2020. Two investigators independently searched, collected, and screened the RCTs. We performed data extraction and evaluation for risk of bias using the Cochrane risk-of-bias tool. Results : This study included 12 RCTs; six studies compared intranasal and sham phototherapy, of which four studies reported a significant inter group difference and two studies reported a significant difference partially. No significant changes in symptoms were observed between the phototherapy and conventional therapy groups. The phototherapy and concurrent acupuncture treatment group showed a significantly higher effectiveness rate compared with the group that received only acupuncture. Both the phototherapy and laser acupuncture group showed significant improvement in the symptom severity scale scores. Six studies reported mild adverse effects, such as dryness and nasal pain in the intranasal phototherapy group; however, no severe adverse effects were reported. Conclusions : This study confirmed the safety and effectiveness of intranasal phototherapy for symptom relief and improved quality of life in patients with AR. However, further studies are needed on this topic in order to demonstrate it clearly.

• 접착 및 계면
• /
• 제21권4호
• /
• pp.129-134
• /
• 2020

공액분자반도체와 고분자절연체 계면에서 전하트래핑을 이해하는 것은 장시간 구동가능한 안정성 높은 유기전계효과 트랜지스터(이하 유기트랜지스터) 개발을 위해 중요하다. 본 연구에서는 다양한 분자량의 고분자절연체를 이용한 유기트랜지스터의 전하이동 특성을 평가하였다. Polymethyl methacrylate (PMMA) 표면 위에 적층된 펜타센 공액반도체의 모폴로지와 결정성은 PMMA 분자량에 무관함이 나타났다. 그 결과 트랜지스터 소자의 초기 트랜스퍼 곡선과 전하이동도는 분자량에 상관없었다. 하지만, 적정한 상대습도 환경에서 소자에 바이어스가 인가되었을 경우, 바이어스 스트레스 효과로 불리는 드레인전류 감소와 트랜스퍼 곡선 이동은 PMMA 분자량이 감소할수록 증대됨이 관찰되었다(분자량 효과). 분자량 효과에 의한 전하트래핑은 회복이 매우 어려운 비가역적인 과정임을 밝혀 내었다. 이러한 분자량 효과는 PMMA 존재하는 고분자사슬 말단의 밀도 변화에 의한 것으로 판단된다. 즉, PMMA 고분자사슬 말단이 가지는 자유부피가 전하트랩으로 작용하여 분자량에 민감한 바이어스 스트레스 효과를 일으킨 것으로 판단된다.

• 한국군사과학기술학회지
• /
• 제24권4호
• /
• pp.382-391
• /
• 2021

Unsupervised domain adaptation often gives impressive solutions to handle domain shift of data. Most of current approaches assume that unlabeled target data to train is abundant. This assumption is not always true in practices. To tackle this issue, we propose a general solution to solve the domain gap minimization problem without any target data. Our method consists of two regularization steps. The first step is a pixel regularization by arbitrary style transfer. Recently, some methods bring style transfer algorithms to domain adaptation and domain generalization process. They use style transfer algorithms to remove texture bias in source domain data. We also use style transfer algorithms for removing texture bias, but our method depends on neither domain adaptation nor domain generalization paradigm. The second regularization step is a feature regularization by feature alignment. Adding a feature alignment loss term to the model loss, the model learns domain invariant representation more efficiently. We evaluate our regularization methods from several experiments both on small dataset and large dataset. From the experiments, we show that our model can learn domain invariant representation as much as unsupervised domain adaptation methods.

• 대한한방부인과학회지
• /
• 제36권2호
• /
• pp.20-35
• /
• 2023

Objectives: The purpose of this study is to review clinical studies and investigate the efficacy and safety of oriental medicine on memory in menopausal women. Methods: 'menopause', 'memory', 'oriental medicine' were searched on 4 online databases (Cochrane Library, Pubmed, CNKI, OASIS). Randomized controlled trials (RCTs) that evaluated menopausal memory with oriental medicine treatment were included. The methodological quality of each RCT was assessed by using Cochrane risk of bias tool. Results: 8 RCTs were selected among 1067 articles. The overall risk of bias was evaluated as uncertain. 5 studies showed that oriental medicine alone was significant effective, but 1 long-term study with the same oriental medicine did not sustain the effect, and 2 studied were not statistically significant. Conclusions: Oriental medicine can be an effective option for improving memory in menopausal women. but considering the small number and quality of studies, inconsistent and insufficient evidence, further well-designed studies are needed to confirm the efficacy and safety of this treatment.

• 스마트미디어저널
• /
• 제12권11호
• /
• pp.1-9
• /
• 2023

스트레스는 감당하기 어려운 외부 또는 내부 요인으로부터 유발되는 것으로 현대 사회의 주요한 문제 중 하나이다. 높은 스트레스가 장기적으로 지속되면 만성적으로 발전할 수 있으며, 건강 및 생활 전반에 큰 악영향을 초래할 수 있다. 그러나 만성적인 스트레스를 겪는 사람들은 자신이 스트레스를 받고 있는지 알아차리기 어렵기 때문에 사전에 스트레스를 인지하고 관리하는 것이 중요하다. 웨어러블 기기로부터 측정된 생체 신호를 이용하여 스트레스를 탐지한다면, 스트레스를 효율적으로 관리할 수 있을 것이다. 그러나 생체 신호를 이용하는 데에는 두 가지 문제점이 있다. 첫째로 생체 신호에서 수작업 특징을 추출하는 것은 바이어스를 발생시킬 수 있으며, 두 번째는 실험 주체에 따라 분류 모델 성능의 변이가 클 수 있다는 것이다. 본 논문에서는 데이터의 핵심적인 특징을 표현할 수 있는 합성곱 오토인코더를 이용해 바이어스를 줄이고 앙상블 학습 중 하나인 소프트 보팅을 이용해 일반화 능력을 높여 성능의 변이를 줄이는 모델을 제안한다. 모델의 일반화 성능을 확인하기 위하여 LOSO 교차 검증 방법을 이용하여 성능을 평가한다. 본 논문에서 제안한 모델은 WESAD 데이터셋을 이용하여 높은 성능을 보여주었던 기존의 연구들보다 우수한 정확도를 보임을 확인하였다.