• 전자통신동향분석
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• 제36권2호
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• pp.75-82
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• 2021

Online action detection (OAD) in a streaming video is an attractive research area that has aroused interest lately. Although most studies for action understanding have considered action recognition in well-trimmed videos and offline temporal action detection in untrimmed videos, online action detection methods are required to monitor action occurrences in streaming videos. OAD predicts action probabilities for a current frame or frame sequence using a fixed-sized video segment, including past and current frames. In this article, we discuss deep learning-based OAD models. In addition, we investigated OAD evaluation methodologies, including benchmark datasets and performance measures, and compared the performances of the presented OAD models.

• 대한전기학회논문지
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• 제40권6호
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• pp.619-625
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• 1991

Phenomena of streaming electrification of insulting oil(T.O) is studied where the oil is contacted with solid insulating materials when it is pumped through a circulating system in a large power transformer. The leakage current, the electrical potential at the neutral terminal point of the transformer and the surface electrical potential of the oil are investigated. And the leakage current from the neutral terminal point is measured as a function of a bias polarity applied to a transformer case to investigate the polarty of ion which is absorbed in the case at the interface between the case and oil. As a result, it is found that insulating materials, and it is suggested that the leakage current is the sum of the relaxation current by positive charge from insulating oil to the neutral terminal point and by electrification current from negative charge electrified by the contact with solid insulating materials.

• 한국통신학회논문지
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• 제27권12C호
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• pp.1251-1264
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• 2002

현재 주문형 오디오 서비스나 생방송 서비스를 하는 오디오 스트리밍 제품은 제한된 숫자의 클라이언트만을 지원한다는 제약점과, 네트워크 자원의 비효율적인 사용으로 서비스 안정성의 미비와 질적 저하라는 단점을 가지고 있다. 또한, 사용자의 편의성을 위한 동적 서비스 제공에 대한 고려가 미비하여 사용에 불편을 겪는다. 본 논문에서는 이러한 제약점을 해결하기 위한 하나의 방안으로 네트워크 자원을 효율적으로 사용할 수 있는 MPEG-2 AAC 오디오 파일 포맷을 사용하고, 스트리밍 서비스의 안정성과 질적 향상을 위하여 QoS를 지원하는 오디오 스트리밍 전송과 제어에 대한 설계와 구현에 대해 소개한다. 제안된 시스템은 서버와 사용자간의 인터페이스가 고정적인 웹 페이지 하나 만에 의존하고 있어서 정보의 제공에 있어 정적일 수밖에 없는 현재의 정적인 스트리밍 서비스들과는 달리 동적인 서비스를 제공함으로서 사용자와 서버관리에 편의성을 지원하는 새로운 정보관리 기법을 채택하고 있다. 구현 결과 제안된 시스템은 기존의 MP3 파일 포맷을 사용한 스트리밍 시스템 보다 성능이 개선되었고, 서비스의 안정성뿐만 아니라 서버 관리가 용이하다는 장점도 보여주고 있다.

• 대한임베디드공학회논문지
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• 제10권6호
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• pp.353-362
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• 2015

In order to provide smart devices with high quality multimedia streaming services, an adaptive streaming technique over HTTP has been received much attention recently and the Dynamic Adaptive Streaming over HTTP (DASH) standard has been established. In DASH, however, the technique to select an appropriate quality of multimedia based on the performance metrics measured in a smart device might have some difficulties to reflect the capabilities of other neighboring smart devices and dynamic network conditions in real time. To solve the problem, this paper proposes a novel software agent approach, called DASH agent (DA), which gathers and analyzes the device capabilities and dynamic network conditions in real time and finally determines the highest achievable quality of segment to meet the best Quality of Experience (QoE) in current situations. The simulation results show that our approach provides higher quality of multimedia segments with less frequency of quality changes to lower quality of multimedia segments.

• Journal of East Asia Management
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• 제1권1호
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• pp.65-87
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• 2020

In recent years, with the rapid development of network live streaming, with the popularization of mobile Internet and mobile terminal equipment, the live streaming industry has ushered in great development. A sudden outbreak of the COVID-19 makes the PC end live streaming which has been developed for many years enter a new era, giving birth to the rapid development of mobile end live streaming. Not only because of the expansion of the live streaming industry market, the rise of the trend of the national live streaming, but also because the mobile live streaming is more and more valued by the brand, becoming an important tool for brand communication and product promotion. It is because of its unique communication characteristics that some scholars believe that the era of precision marketing has been opened by live network. Mobile live from the initial fans to reward and promote the brand, to now in the form of live marketing, consumers can "buy while watching". The time period from the understanding of the goods to the final completion of the purchase behavior has been greatly shortened. It is conducive to improving sales volume and brand awareness. Marketing communication through mobile live platform has become a popular way of brand marketing. This paper mainly studies the current situation, methods, problems and development strategies of brand marketing activities with the help of live streaming platform under the background of mobile internet. Taking Tmall live streaming platform as an example, this paper analyzes several ways of brand marketing with the help of live streaming and some universal characteristics of live streaming marketing by using the relevant theories of marketing. In view of the problems existing in live streaming brand marketing, it puts forward relevant Improvement measures. First of all, the paper puts forward the innovation in content and form. Second, the paper suggests that we should make full use of new technologies such as AR and VR to effectively combine with mobile live broadcasting. Third, the paper explores the integration of multiple channels to create intelligent marketing, and further optimize the live interface of mobile terminals. Finally, the paper emphasizes that the government departments and the platform itself should jointly supervise the mobile network live streaming platform and establish a good live broadcasting environment for mobile terminals. With the help of mobile live streaming, the marketing mode has an important impact on the promotion of brand marketing. How to make better use of this business mode and accurately use mobile live broadcast to promote brand marketing, so that enterprises can create greater profits, is also of profound research significance.

• 한국환경과학회지
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• 제1권2호
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• pp.137-144
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• 1992

Flocculation-spectrophotometry and streaming current detector( SCD ) method were investigated and compared in order to determine the optimum dosages of synthetic cationic polymers of different charge density and molecular mass for the removal of humic acid. The optimum dosage for each of the polymers was determined with the dosage at which the lowest absorbance of humic acid was shown for the formal. and was determined with the dosage required during charge neutralization of humic acid for the latter It was in good agreement between both methods and there is a strong inverse correlation between the optimum dosage and charge density of the polymers, with highly charged polymer giving the lowest optimum dosage, pointing out the importance the charge neutralization. By flocculation-spectrophotometry, it was found that the absorbance of humid acid with the amount of each of the polymers dosed, changes sharply for polymers of high charge density, but changes rather broadly for polymers of low and middle charge density, Both methods showed that a stoichiometric correlation exists between the optimum dosage of each of the cationic polymers and the negatively charged humic acid.

• 제어로봇시스템학회논문지
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• 제10권6호
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• pp.551-556
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• 2004

Coagulation process is one of the most important processes in water treatment procedures for stable and economical operation, and coagulant dosing of this process for most plants is generally determined by the jar test. However, this method does not only take a long time to analyze and get the result but also has difficulties in applying to automatic control. This paper shows the feasibility of applying neural network to control the coagulant dosing automatically in water treatment plant. To be specific, the predicted results of the neural network model is shown to be similar to that of jar test. The input variables for learning the neural network are turbidity, water temperature, pH, and alkalinity. Combining the neural network and SCD(Streaming Current Detector) for feedforward and feedback control of injecting coagulant, a rapid change of the raw water quality can be accommodated.

• Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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• 제1권2호
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• pp.137-144
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• 1997

Flocculation-spectrophotometry and streaming current detector(SCD) method were investigated and compared in order to determine the optimum dosages of synthetic cationic polymers of different charge density and molecular mass for the removal of humic acid. The optimum dosage for each of the polymers was determined with the dosage at which the lowest absorbance of humic acid was shown for the former and was determined with the dosage required during charge neutralization of humic acid for the latter. It was in good agreement between both methods and there is a strong inverse correlation between the optimum dosage and charge density of the polymers, with highly charged polymer giving the lowest optimum dosage, pointing out the importance the charge neutralization. By flocculation-spectrophotometry, it was found that the absorbance of humic acid with the amount of each of the polymers dosed, changes sharply for polymers of high charge density, but changes rather broadly for polymers of low and middle charge density. Both methods showed that a stoichiometric correlation exists between the optimum dosage of each of the cationic polymers and the negatively charged humic acid.

• 디지털콘텐츠학회 논문지
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• 제9권4호
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• pp.533-541
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• 2008

분산 모바일 시스템에서 혼잡제어와 끊김 문제 해결은 주요한 관심사로 떠오르고 있다. 본 논문에서는 분산 모바일 트랜잭션을 지원하는 시스템의 성능 개선을 위해 그룹화 기반의 퍼지 참조 스트리밍 기법을 이용한다. 이 기법은 모바일 클라이언트에서 제기된 트랜잭션 요청문제를 GS인터페이스를 이용하여 해결하도록 한다. 그리고 끊김 문제를 해결하기 위해 트랜잭션 읽기/갱신기법을 이용하여 스트리밍 서비스를 효율적으로 수행하도록 한다. 실험 평가 결과 제안된 기법이 다른 기법보다 효율적임을 보인다.

• 한국통신학회논문지
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• 제32권12B호
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• pp.735-742
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• 2007

본 논문에서는 DiffServ 네트워크에서 비디오 스트리밍 서비스의 품질을 보장하기 위한 적용방법의 하나로서 채널변화에 적응적인 패킷 사전 마킹 알고리듬을 제시하였다. 전통적인 패킷 마커들이나 기존에 제안된 TMS(Two Marker System, ETBTCM)은 다수의 비디오 소스가 존재하는 네트워크 상황에서는 혼잡현상 발생 시 패킷내에 포함된 비디오 정보의 중요도에 대한 고려 없이 패킷이 드롭되는 문제점을 가지고 있다. 이러한 문제점을 해결하기 위해 본 논문에서는 적응적 사전마킹 알고리듬을 제안하였다. 제안 알고리듬에서는 네트워크의 채널상태와 GOP내에서의 전송 프레임의 중요도를 고려하여 확률적으로 패킷 드롭 우선순위를 결정하여 이를 서버 단에서 사전에 마킹 하게 된다. 이를 통하여 다수의 비디오 트래픽간의 경쟁이 발생한 상황에서도 화질 저하를 최소화 되도록 할 수 있다.