• Title/Summary/Keyword: Multimedia distribution

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Voice Activity Detection employing the Generalized Normal-Laplace Distribution (일반화된 정규-라플라스 분포를 이용한 음성검출기)

  • Kim, Sang-Kyun;Kwon, Jang-Woo;Lee, Sangmin
    • Journal of Korea Multimedia Society
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    • v.17 no.3
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    • pp.294-299
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    • 2014
  • In this paper, we propose a novel algorithm to improve the performance of a voice activity detection(VAD) which is based on the generalized normal-Laplace(GNL) distribution. In our algorithm, the probability density function(PDF) of the noisy speech signal is represented by the GNL distribution and the variance of the speech and noise of GNL distribution are estimated using higher order moments. Experimental results show that the proposed algorithm yields better results compared to the conventional VAD algorithms.

A Certificate Revocation List Distribution Scheme over the eMBMS for Vehicular Networks

  • Kim, Hyun-Gon
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.10
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    • pp.77-83
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    • 2016
  • To verify the trustworthiness of messages, public key certificates and certificate revocation list(CRL) has been standardized for vehicular networks. However, timely distribution of large CRLs to vehicles should be more elaborated with low bandwidth utilization from a practical point of view. To address this concern, we propose a CRL distribution scheme using long term evolution(LTE) point-to-multicast transmission, namely the enhanced multimedia broadcast multicast service(eMBMS). The schem is much more resource efficient than the existing unicast CRL distribution schemes for vehicular networks and it allows realizing the regional CRL distribution schemes efficiently in LTE network. By means of ns-3 simulation, we analyze the performance, latency, and execution time of the scheme in terms of varying coverage of the multimedia broadcast multicast service over single frequency network (MBFSN).

A Secure Quantum-Resistant Authentication and Key Distribution Protocol for NFC Payment Environments (NFC 결제 환경에서 양자 컴퓨팅에 안전한 인증 및 키 분배 프로토콜)

  • Kim, JongHyun;Park, KiSung;Park, YoungHo
    • Journal of Korea Multimedia Society
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    • v.21 no.4
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    • pp.485-492
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    • 2018
  • Recently, the numerous authentication and key distribution protocol for NFC payment environment have been proposed using public key cryptosystems. However, these protocol are vulnerable to quantum computing attack because quantum computing can solve factoring and discrete logarithm problem effectively using Grover and Shor's algorithm. For these reason, the secure authentication and key distribution have become a very important security issue in order to prevent quantum computing attacks. Therefore, to ensure user's payment information and privacy, we propose a secure quantum resistant authentication and key distribution protocol for NFC payment environments.

Task Distribution Scheme based on Service Requirements Considering Opportunistic Fog Computing Nodes in Fog Computing Environments (포그 컴퓨팅 환경에서 기회적 포그 컴퓨팅 노드들을 고려한 서비스 요구사항 기반 테스크 분배 방법)

  • Kyung, Yeunwoong
    • Journal of Korea Multimedia Society
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    • v.24 no.1
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    • pp.51-57
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    • 2021
  • In this paper, we propose a task distribution scheme in fog computing environment considering opportunistic fog computing nodes. As latency is one of the important performance metric for IoT(Internet of Things) applications, there have been lots of researches on the fog computing system. However, since the load can be concentrated to the specific fog computing nodes due to the spatial and temporal IoT characteristics, the load distribution should be considered to prevent the performance degradation. Therefore, this paper proposes a task distribution scheme which considers the static as well as opportunistic fog computing nodes according to their mobility feature. Especially, based on the task requirements, the proposed scheme supports the delay sensitive task processing at the static fog node and delay in-sensitive tasks by means of the opportunistic fog nodes for the task distribution. Based on the performance evaluation, the proposed scheme shows low service response time compared to the conventional schemes.

Dynamic Jop Distribution Algorithm for Reducing Deadlock & Packet Drop Rate in NoC (NoC 시스템에서 Deadlock과 패킷 drop율 감소를 위한 동적 Job Distribution 알고리듬에 관한 연구)

  • Kim, Woo-Joo;Lee, Sung-Hee;Hwang, Sun-Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.7B
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    • pp.528-537
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    • 2008
  • This paper proposes a dynamic job distribution algorithm in a hybrid NoC structure which can improve system network performance by reducing deadlock and packet drop rate for various multimedia applications. The proposed job distribution algorithm schedules every job to the sub-cluster where packet drop rate can be minimized for each multimedia application program. The proposed Job distribution algorithm and network topology targets multimedia applications frequently used in modern embedded systems, such as MPEG4 and MP3 decoder, GPS positioning system, and OFDM demodulator. Experimental results show that packet drop rate was reduced by about 13.0%, and chip area was increased by about 2.7% compared to the APSRA algorithm. When compared to the XY algorithm popularly used for benchmarking, the packet drop rate was reduced by about 23.9%, while chip area was increased by about 3.0%.

Variational Expectation-Maximization Algorithm in Posterior Distribution of a Latent Dirichlet Allocation Model for Research Topic Analysis

  • Kim, Jong Nam
    • Journal of Korea Multimedia Society
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    • v.23 no.7
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    • pp.883-890
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    • 2020
  • In this paper, we propose a variational expectation-maximization algorithm that computes posterior probabilities from Latent Dirichlet Allocation (LDA) model. The algorithm approximates the intractable posterior distribution of a document term matrix generated from a corpus made up by 50 papers. It approximates the posterior by searching the local optima using lower bound of the true posterior distribution. Moreover, it maximizes the lower bound of the log-likelihood of the true posterior by minimizing the relative entropy of the prior and the posterior distribution known as KL-Divergence. The experimental results indicate that documents clustered to image classification and segmentation are correlated at 0.79 while those clustered to object detection and image segmentation are highly correlated at 0.96. The proposed variational inference algorithm performs efficiently and faster than Gibbs sampling at a computational time of 0.029s.

Attribute based User Authentication for Contents Distribution Environments

  • Yoo, Hye-Joung
    • International Journal of Contents
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    • v.8 no.3
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    • pp.79-82
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    • 2012
  • In digital contents distribution environments, a user authentication is an important security primitive to allow only authenticated user to use right services by checking the validity of membership. For example, in Internet Protocol Television (IPTV) environments, it is required to provide an access control according to the policy of content provider. Remote user authentication and key agreement scheme is used to validate the contents accessibility of a user. We propose a novel user authentication scheme using smart cards providing a secure access to multimedia contents service. Each user is authenticated using a subset of attributes which are issued in the registration phase without revealing individual's identity. Our scheme provides the anonymous authentication and the various permissions according to the combination of attributes which are assigned to each user. In spite of more functionality, the result of performance analysis shows that the computation and communication cost is very low. Using this scheme, the security of contents distribution environments in the client-server model can be significantly improved.

Generative probabilistic model with Dirichlet prior distribution for similarity analysis of research topic

  • Milyahilu, John;Kim, Jong Nam
    • Journal of Korea Multimedia Society
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    • v.23 no.4
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    • pp.595-602
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    • 2020
  • We propose a generative probabilistic model with Dirichlet prior distribution for topic modeling and text similarity analysis. It assigns a topic and calculates text correlation between documents within a corpus. It also provides posterior probabilities that are assigned to each topic of a document based on the prior distribution in the corpus. We then present a Gibbs sampling algorithm for inference about the posterior distribution and compute text correlation among 50 abstracts from the papers published by IEEE. We also conduct a supervised learning to set a benchmark that justifies the performance of the LDA (Latent Dirichlet Allocation). The experiments show that the accuracy for topic assignment to a certain document is 76% for LDA. The results for supervised learning show the accuracy of 61%, the precision of 93% and the f1-score of 96%. A discussion for experimental results indicates a thorough justification based on probabilities, distributions, evaluation metrics and correlation coefficients with respect to topic assignment.

An Analysis and Visualization of Creative Tendency appeared in Query Log of a Story Database Service (스토리 검색 서비스의 사용자 기록에 나타난 창작 성향 분석 및 가시화)

  • Kim, Myoung-Jun
    • Journal of Korea Multimedia Society
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    • v.19 no.8
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    • pp.1609-1618
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    • 2016
  • is a service providing the story synopses that match user's query. This paper analyzes the user log of which is the answers to the queries to find stories from database, and shows the tendency distribution of user creation. Specially, we analyze a joint distribution of the genres and actions of stories to get better understanding of the tendencies that cannot be found in the analysis of independent distribution. Furthermore, we define a correlation factor between genre and action, and investigate what combinations of the genres and actions are highly, less, and negatively correlated. Finally, we investigate how the tendencies of characters are related to genres and actions, and propose a visualization method to show the tendencies.

A P2P-to-UPnP Proxy Gateway Architecture for Home Multimedia Content Distribution

  • Hu, Chih-Lin;Lin, Hsin-Cheng;Hsu, Yu-Feng;Hsieh, Bing-Jung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.1
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    • pp.406-425
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    • 2012
  • Deploying advanced home networking technologies and modern home-networked devices in residential environments provides a playground for new home applications and services. Because home multimedia entertainment is among the most essential home applications, this paper presents an appealing home media content sharing scenario: home-networked devices can discover neighboring devices and share local media content, as well as enormous amounts of Internet media content in a convenient and networked manner. This ideal scenario differs from traditional usages that merely offer local media content and require tedious manual operations of connection setup and file transfer among various devices. To achieve this goal, this study proposes a proxy gateway architecture for home multimedia content distribution. The proposed architecture integrates several functional mechanisms, including UPnP-based device discovery, home gateway, Internet media provision, and in-home media content delivery. This design addresses several inherent limitations of device heterogeneity and network interoperability on home and public networks, and allows diverse home-networked devices to play media content in an identical and networked manner. Prototypical implementation of the proposed proxy gateway architecture develops a proof-of-concept software, integrating a BitTorrent peer-to-peer client, a UPnP protocol stack, and a UPnP AV media server, as well as media distribution and management components on the OSGi home gateway platform. Practical demonstration shows the proposed design and scenario realization, offering users an unlimited volume of media content for home multimedia entertainment.