• ETRI Journal
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• 제45권5호
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• pp.795-810
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• 2023

Unmanned aerial vehicles (UAV) and ground vehicles (UGV) require advanced video analytics for various tasks, such as moving object detection and segmentation; this has led to increasing demands for these methods. We propose a zero-shot video object segmentation method specifically designed for UAV and UGV applications that focuses on the discovery of moving objects in challenging scenarios. This method employs a background memory model that enables training from sparse annotations along the time axis, utilizing temporal modeling of the background to detect moving objects effectively. The proposed method addresses the limitations of the existing state-of-the-art methods for detecting salient objects within images, regardless of their movements. In particular, our method achieved mean J and F values of 82.7 and 81.2 on the DAVIS'16, respectively. We also conducted extensive ablation studies that highlighted the contributions of various input compositions and combinations of datasets used for training. In future developments, we will integrate the proposed method with additional systems, such as tracking and obstacle avoidance functionalities.

• 음성과학
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• 제10권2호
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• pp.35-43
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• 2003

General speaker verification systems improve their recognition performances by normalizing log likelihood ratio, using a speaker model and its background speaker model that are required to be verified. So these systems rely heavily on the availability of much speaker independent databases for background speaker model design. This constraint, however, may be a burden in practical and portable devices such as palm-top computers or wireless handsets which place a premium on computations and memory. In this paper, new approach for the GMM-based background model design used in portable speaker verification system is presented when the enrollment data is available. This approach is to modify three parameters of GMM speaker model such as mixture weights, means and covariances along with reduced mixture order. According to the experiment on a 20 speaker population from YOHO database, we found that this method had a promise of effective use in a portable speaker verification system.

• 제어로봇시스템학회논문지
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• 제21권11호
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• pp.989-995
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• 2015

Due to the recent increase of the importance and demand of security services, the importance of a surveillance monitor system that makes an automatic security system possible is increasing. As the market for surveillance monitor systems is growing, price competitiveness is becoming important. As a result of this trend, surveillance monitor systems based on an embedded system are widely used. In this paper, an object detection algorithm based on an embedded system for a surveillance monitor system is introduced. To apply the object detection algorithm to the embedded system, the most important issue is the efficient use of resources, such as memory and processors. Therefore, designing an appropriate algorithm considering the limit of resources is required. The proposed algorithm uses two background models; therefore, the embedded system is designed to have two independent processors. One processor checks the sub-background models for if there are any changes with high update frequency, and another processor makes the main background model, which is used for object detection. In this way, a background model will be made with images that have no objects to detect and improve the object detection performance. The object detection algorithm utilizes one-dimensional histogram distribution, which makes the detection faster. The proposed object detection algorithm works fast and accurately even in a low-priced embedded system.

• 인지과학
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• 제26권4호
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• pp.453-481
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• 2015

본 연구는 시각작업기억의 표상 특성에 대해 상반되는 주장을 펼치고 있는 고정해상도 슬롯 모형과 탄력적 자원 모형을 개관하고, 두 모형 간 상충을 해소하기 위한 노력이 필요함을 강조하였다. 이를 위해 고정해상도 슬롯과 탄력적 자원 모형을 태동시킨 객체 및 병렬 저장 가설을 살펴보고 두 모형의 상반되는 주장에 대한 이론적 근거를 소개하였다. 다음으로 두 모형을 지지한 구체적인 연구 사례를 통해 경험적 지지 증거의 객관성을 평가하고 관련 신경생리학적 모형에 대한 이해를 시도하였다. 마지막으로 두 모형 간의 상충을 해소하기 위한 이론적 그리고 방법론적 재고와 이를 달성하기 위한 수렴적 증거 확보의 필요성을 강조하였다.

• 동의신경정신과학회지
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• 제19권3호
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• pp.55-68
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• 2008

Background: Microglia produces a barrage of factors (IL-l, TNF-$\alpha$, NO, superoxide) that are toxic to neurons and playa major role in the cellular immune response associated with the pathology of Alzheimer's disease(AD). OJaJiHwangEumJa(OJJHEJ) has been usually used for the treatment of senile disorders. For enhancing efficacy and convenience, the change of the drug delivery device of oriental herbal medicine is required. Objective: This experiment was designed to investigate the effect of the OJJHEJ hot water extract & ultra-fine powder on proinflammatory cytokine of microglia and memory deficit model. Method: The effects of the OJJHEJ hot water extract on production of IL-1$\beta$, IL-6, TNF-$\alpha$, in BV2 microglial cell line treated by lipopolysacchaide(LPS) were investigated. The effects of the OJJHEJ hot water extract & ultra-fine powder on the behavior of the memory deficit mice induced by scopolamine and AChE in serum of the memory deficit mice induced by scopolamine were investigated. Results: 1. The OJJHEJ hot water extract suppressed the production of IL-1$\beta$, IL-6, TNF-$\alpha$ in BV2 microglial cell line and the production of IL-6 was suppressed significantly. 2. The OJJHEJ hot water extract & ultra-fine powder decreased AChE significantly in the serum of the memory deficit mice induced by scopolamine. 3. The OJJHEJ hot water extract & ultra-fine powder groups showed significantly inhibitory effect on the scopolamine-induced impairment of memory in the experiment of Morris water maze. Conclusions: This experiment shows that the OJJHEJ hot water extract & ultra-fine powder might be effective for the prevention and treatment of memory impairment diseases. Investigation into the clinical use of the OJJHEJ hot water extract & ultra-fine powder for Alzheimer's disease is suggested for future research.

• 한국멀티미디어학회논문지
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• 제12권12호
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• pp.1718-1727
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• 2009

Traditional character recognition systems usually aim at characters with simple variation. With the development of multimedia technology, printed characters may appear more diversely. Existing recognition technologies can't deal with Hangul recognition effectively in diverse environments. This paper presents a recognition system for multi-form Korean characters called RSMFK, which is based on the model of Hierarchical Temporal Memory (HTM). Our system can effectively recognize the printed Korean characters of different fonts, scales, rotation, noise and background. HTM is a model which simulates the neocortex of human brain to recognize and memorize intelligently. Experimental results show that RSMFK performs a good recognition rate of 97.8% on average, which is proved to be obviously improved over the conventional methods.

• 한국약용작물학회지
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• 제25권6호
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• pp.353-360
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• 2017

Background: A critical features of Alzheimer's disease (AD) is cognitive dysfunction, which partly arises from decreased in acetylcholine levels. AD afftected brains are characterized by extensive oxidative stress, which is thought to be primarily induced by the amyloid beta ($A{\beta}$) peptide. In a previous study, Cinnamomum loureiroi tincture inhibited acetylcholinesterase (AchE) activity. That study identified AChE inhibitor in the C. loureiroi extract. Furthermore, the C. loureiroi extract enhanced memory in a trimethyltin (TMT)-induced model of cognitive dysfunction, as assessed via two behavioral tests. Rosa laevigata extract protected against oxidative stress-induced cytotoxicity. Administrating R. laevigata extracts to mice significantly reversed $A{\beta}$-induced learning and memory impairment, as shown in behavioral tests. Methods and Results: We conducted behavioral to examine the synergistic effects of C. loureiroi and R. laevigata extracts in inhibiting AChE and counteracting TMT-induced learning and memory losses. We also performed biochemical assays. The biochemical results showed a relationship between increased oxidative stress and cholinergic neurons damage in TMT-treated mice. Conclusions: A diet containing C. loureiroi and R. laevigata extracts ameliorated learning and memory impairments in the Y-maze and passive avoidance tests, and exerted synergistic inhibitory effect against AChE and lipid peroxidation.

• 대한산업공학회지
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• 제30권1호
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• pp.17-26
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• 2004

In this study, the usability evaluation of a menu-structure was performed using spreading activation model with respect to human's memory retrieval. Spreading Activation Model is effectively used to understand the process of information retrieval, so it can be used as a theoretical background for modeling of the process of human's information retrieval. For spreading activation test (SAT), subjects were presented with 67 pairs of menu titles, which consist of a menu title in the high level menu item and a menu title for the next lower level menu item, from Korea University's web site. For performance tests, three scenarios were developed with longer reaction times and ambiguous associations found in the SAT to reflect the existing problems of the website. As a result, the SAT was found to bean effective tool to enhance the website usability because the SAT could bea substitute for the performance test with a high correlation $({\rho}=0.735,\;{\alpha}=0.05)$. After remaining menu titles with slow reaction times and ambiguous associations found in SAT, the website usability was significantly improved with faster reaction times and less ambiguous associations proven with smaller number of web-page visits. Therefore, the SAT could be used as a methodology to design and evaluate the user-centered menu structure related to human's association structure.

• 한국인터넷방송통신학회논문지
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• 제22권3호
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• pp.43-48
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• 2022

최근 스마트폰의 성능이 급격히 향상되고 모바일 플랫폼에서 백그라운드 앱의 실행이 늘면서 모바일 환경의 멀티태스킹이 활성화되고 있다. 모바일 환경에서는 종래의 데스크탑 및 서버 응용들과 달리 응답시간이 중요한 대화형 작업들이 대부분을 차지하고 있으며, 일부 응용은 데드라인이 존재하는 실시간 작업에 해당된다. 본 논문에서는 스마트폰에서 실시간 작업과 대화형 작업이 동시에 실행될 때 메모리 관리를 어떻게 함으로써 이질적인 멀티태스킹 환경의 요구사항을 충족할 수 있는지에 대해 연구한다. 본 논문에서는 실시간 작업의 요구 조건 만족을 위해 필요한 메모리 크기를 분석 및 모델링하고 이에 기반해서 멀티태스킹 작업 간의 메모리를 할당하는 방안을 제안한다. 이종 앱의 스토리지 접근 트레이스를 추출하고 이에 기반한 시뮬레이션을 통해 제안한 기법이 실시간 작업의 요구를 일정 수준으로 보장하면서 대화형 작업에 합리적인 성능을 제공함을 확인하였다.

• Journal of Ginseng Research
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• 제46권3호
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• pp.435-443
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• 2022

Background: Post-traumatic stress disorder (PTSD) is a psychiatric disease that develops following exposure to a traumatic event and is a stress-associated mental disorder characterized by an imbalance of neuroinflammation. Korean Red Ginseng (KRG) is the herbal supplement that is known to be involved in a variety of pharmacological activities. We aimed to investigate the effects of KRG on neuroinflammation as a potential mechanism involved in single prolonged stress (SPS) that negatively influences memory formation and consolidation and leads to cognitive and spatial impairment by regulating BDNF signaling, synaptic proteins, and the activation of NF-κB. Methods: We analyzed the cognitive and spatial memory, and inflammatory cytokine levels during the SPS procedure. SPS model rats were injected intraperitoneally with 20, 50, or 100 mg/kg/day KRG for 14 days. Results: KRG administration significantly attenuated the cognitive and spatial memory deficits, as well as the inflammatory reaction in the hippocampus associated with activation of NF-κB in the hippocampus induced by SPS. Moreover, the effects of KRG were equivalent to those exerted by paroxetine. In addition, KRG improved the expression of BDNF mRNA and the synaptic protein PSD-95 in the hippocampus. Taken together, these findings demonstrate that KRG exerts memory-improving actions by regulating anti-inflammatory activities and the NF-κB and neurotrophic pathway. Conclusion: Our findings suggest that KRG is a potential functional ingredient for protecting against memory deficits in mental diseases, such as PTSD.