• Title/Summary/Keyword: multimedia performance

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A Novel Data Prediction Model using Data Weights and Neural Network based on R for Meaning Analysis between Data (데이터간 의미 분석을 위한 R기반의 데이터 가중치 및 신경망기반의 데이터 예측 모형에 관한 연구)

  • Jung, Se Hoon;Kim, Jong Chan;Sim, Chun Bo
    • Journal of Korea Multimedia Society
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    • v.18 no.4
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    • pp.524-532
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    • 2015
  • All data created in BigData times is included potentially meaning and correlation in data. A variety of data during a day in all society sectors has become created and stored. Research areas in analysis and grasp meaning between data is proceeding briskly. Especially, accuracy of meaning prediction and data imbalance problem between data for analysis is part in course of something important in data analysis field. In this paper, we proposed data prediction model based on data weights and neural network using R for meaning analysis between data. Proposed data prediction model is composed of classification model and analysis model. Classification model is working as weights application of normal distribution and optimum independent variable selection of multiple regression analysis. Analysis model role is increased prediction accuracy of output variable through neural network. Performance evaluation result, we were confirmed superiority of prediction model so that performance of result prediction through primitive data was measured 87.475% by proposed data prediction model.

Real-time Haze Removal Method using Brightness Transformation based on Atmospheric Scatter Coefficient Rate and Local Histogram Equalization (대기 산란 계수 비율 기반의 밝기변환과 지역적 히스토그램 평활화를 이용한 실시간 안개 제거 방법)

  • Lee, Jae-Won;Hong, Sung-Hoon
    • Journal of Korea Multimedia Society
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    • v.19 no.1
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    • pp.10-21
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    • 2016
  • Images taken from outdoor are degraded quality by fog or haze, etc. In this paper, we propose a method that provides the visibility improved images through fog or haze removal. We proposed haze removal method that uses brightness transform based on atmospheric scatter coefficient rate with local histogram equalization. To calculate the transmission rate that indicate fog rate in original image, we use atmospheric scatter coefficient rate based on quadratic equations about haze model. And primary brightness transformed image can be obtained by using the obtained transmission rate. Also we use local histogram equalization with proposed brightness transform for effectively image visibility enhancement. Unlike existing methods, our method can process real-time with stable and effect image visibility enhancement. Proposed method use only the luminance images processed by good performance surveillance systems because it represents the real-time processing is required, black-box, digital camera and multimedia equipment is applicable. Also because it shows good performance only with the luminance images processed, Surveillance systems, black boxes, digital cameras, and multimedia devices etc, that require real-time processing can be applied.

Adaptive Online Bandwidth Management Algorithms for Multimedia Cellular Networks (멀티미디어 셀룰러 네트워크 상에서의 효율적인 온라인 대역폭 관리기법에 대한 연구)

  • Kim Sung-Wook
    • The KIPS Transactions:PartC
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    • v.13C no.2 s.105
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    • pp.171-176
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    • 2006
  • Bandwidth is an extremely valuable and scarce resource in a wireless network. Therefore, efficient bandwidth management is necessary in order to provide high qualify service to users with different requirements in a multimedia wireless/mobile network. In this paper, we propose an on-line bandwidth reservation algorithm that adjusts bandwidth reservations adaptively based on existing network conditions. The most important contribution of our work is an adaptive algorithm that is able to resolve conflicting performance criteria - bandwidth utilization, call dropping and call blocking probabilities. Our algorithm is quite flexible, is responsive to current traffic conditions in cellular networks, and tries to strike the appropriate performance balance between contradictory requirements for QoS sensitive multimedia services.

Reverse Link Characterization of a Spectrally Overlaid Macro/Micro Cellular CDMA System Supporting Multimedia Traffic (멀티미디어 서비스를 위한 스펙트럼 중첩 매크로/마이크로 셀룰러 CDMA 시스템의 역방향 링크 특성)

  • Kang, Chang-Soon;Park, Joong-Han
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.7A
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    • pp.440-450
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    • 2003
  • The reverse link of a spectrally overlaid macrocell/microcell cellular CDMA system supporting multimedia traffic is characterized in terms of the required signal power, interference, and capacity. Several narrowband subsystems are overlaid with a wideband subsystem in macrocells, while a single wideband subsystem is operated in a microcell with the same spectrum as the macrocell wideband subsystem. Using a typical propagation model the reverse link signal power and interference are characterized as the relative user signal power and the cross-tier interference factors between the macrocell and the microcell. The reverse link capacity of the overlay system is then analyzed. Analytical results show that the dominant parameters affecting the system performance are the spectral overlay ratio and the distance between the microcell and macrocell base stations. In particular, when the distance equals a half of macrocell radius, optimum performance can be achieved by minimizing the cross-tier interference factors. These results can be applied to CDMA multimedia network planning in heavily populated traffic areas.

Multi-level Scheduler for Supporting Multimedia Task (멀티미디어 태스크 지원을 위한 다단계 스케줄러)

  • Ko Young-Woong
    • The KIPS Transactions:PartA
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    • v.12A no.5 s.95
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    • pp.375-384
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    • 2005
  • General purpose operating systems are Increasingly being used for serving time-sensitive applications. These applications require soft real-time characteristics from the kernel and from other system-level services. In this paper, we explore various operating systems techniques needed to support time-sensitive applications and describe the design of MUSMA(Multi-level Scheduler for Multimedia Application). MUSMA is a framework that combination of user-level top scheduler and kernel-level bottom scheduler. We develope MUSMA in linux environment and it's performance is evaluated. Experiment result shows that it is possible to satisfy the constraints of multimedia in a general purpose operating system without significantly compromising the performance of non-realtime applications.

Cross-layer based Transmission Scheme for Multimedia Service over Mobile Ad Hoc Network (이동 애드 혹 네트워크상에서 멀티미디어 서비스를 위한 크로스레이어 기반의 전송 기법)

  • An, Ki-Jin;Joo, Hyun-Chul;Song, Hwang-Jun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.11B
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    • pp.1216-1224
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    • 2009
  • This paper presents cross-layer based packet scheduling and routing algorithm to effectively transmit delay-sensitive multimedia data over mobile ad hoc network. At first, packet urgency, node urgency, and route urgency are defined based on the end-to-end delay requirement of each packet and the number of hops over a route. Based on the urgency metric, the proposed transmission scheme is that packet scheduling algorithm at the MAC layer and routing algorithm at the network layer are tightly-coupled to improve the transmission performance for delay-sensitive multimedia. Finally, simulation results are provided to show the performance of proposed transmission scheme.

Study on Applying Alice for Supportive Methodology of Creative Problem Solving (창의적 문제해결 수업에서의 앨리스(Alice) 활용 사례 연구)

  • Baek, Jung-Hee;Choo, Moon-Won;Choi, Young-Mee;Lim, Young-Hwan
    • Journal of The Korean Association of Information Education
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    • v.16 no.1
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    • pp.61-70
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    • 2012
  • In this study, the newly designed course related to creative problem solving is introduced. According to the characteristics of multimedia engineering, the Alice, which is well known as an effective 3D interactive authoring tool, is adopted as the supporting tool to validate the accomplishment of study goals set up for software design. Each creative problem solving phase could be clearly implemented and its expected performance could be evaluated efficiently by using Alice. The result of curricular implementation and performance evaluation is shown.

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Mobility-Based Clustering Algorithm for Multimedia Broadcasting over IEEE 802.11p-LTE-enabled VANET

  • Syfullah, Mohammad;Lim, Joanne Mun-Yee;Siaw, Fei Lu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.3
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    • pp.1213-1237
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    • 2019
  • Vehicular Ad-hoc Network (VANET) facilities envision future Intelligent Transporting Systems (ITSs) by providing inter-vehicle communication for metrics such as road surveillance, traffic information, and road condition. In recent years, vehicle manufacturers, researchers and academicians have devoted significant attention to vehicular communication technology because of its highly dynamic connectivity and self-organized, decentralized networking characteristics. However, due to VANET's high mobility, dynamic network topology and low communication coverage, dissemination of large data packets (e.g. multimedia content) is challenging. Clustering enhances network performance by maintaining communication link stability, sharing network resources and efficiently using bandwidth among nodes. This paper proposes a mobility-based, multi-hop clustering algorithm, (MBCA) for multimedia content broadcasting over an IEEE 802.11p-LTE-enabled hybrid VANET architecture. The OMNeT++ network simulator and a SUMO traffic generator are used to simulate a network scenario. The simulation results indicate that the proposed clustering algorithm over a hybrid VANET architecture improves the overall network stability and performance, resulting in an overall 20% increased cluster head duration, 20% increased cluster member duration, lower cluster overhead, 15% improved data packet delivery ratio and lower network delay from the referenced schemes [46], [47] and [50] during multimedia content dissemination over VANET.

A Novel Framework Based on CNN-LSTM Neural Network for Prediction of Missing Values in Electricity Consumption Time-Series Datasets

  • Hussain, Syed Nazir;Aziz, Azlan Abd;Hossen, Md. Jakir;Aziz, Nor Azlina Ab;Murthy, G. Ramana;Mustakim, Fajaruddin Bin
    • Journal of Information Processing Systems
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    • v.18 no.1
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    • pp.115-129
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    • 2022
  • Adopting Internet of Things (IoT)-based technologies in smart homes helps users analyze home appliances electricity consumption for better overall cost monitoring. The IoT application like smart home system (SHS) could suffer from large missing values gaps due to several factors such as security attacks, sensor faults, or connection errors. In this paper, a novel framework has been proposed to predict large gaps of missing values from the SHS home appliances electricity consumption time-series datasets. The framework follows a series of steps to detect, predict and reconstruct the input time-series datasets of missing values. A hybrid convolutional neural network-long short term memory (CNN-LSTM) neural network used to forecast large missing values gaps. A comparative experiment has been conducted to evaluate the performance of hybrid CNN-LSTM with its single variant CNN and LSTM in forecasting missing values. The experimental results indicate a performance superiority of the CNN-LSTM model over the single CNN and LSTM neural networks.

A Scheme of Transmission of Multimedia Stream Through SCTP (SCTP를 통한 멀티미디어 스트림 전송기법 연구)

  • Seok, Seung-Joon
    • Journal of Korea Multimedia Society
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    • v.10 no.3
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    • pp.401-410
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    • 2007
  • Multimedia streams transmitted through the Internet have a strict playback delay time. Multimedia data arriving aster the playback time cannot be played in the receiver and are discarded. Thus, this paper proposed a protocol, in which the multimedia stream server determines whether data can be played in the receiver before sending the data. The proposed model has a PSCTP sub-layer on top of existing PR-SCTP and decides whether to send data messages, which have come from the multimedia applicationserver, and which PR-SCTP stream the data will be sent to. In addition, the proposed model uses the differentiated retransmission function of PR-SCTP. We evaluated the performance of SCTP, PR-SCTP and PSCTP using NS2 simulator. According to the results of the evaluation, the PSCTP protocol decreased the volume of transmission and increased the video decodable ratio compared to other protocols.

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