• International Journal of Internet, Broadcasting and Communication
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• 제14권1호
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• pp.129-135
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• 2022

Real human digital models appear more and more frequently in VR/AR application scenarios, in which real-time markerless face capture animation of personalized virtual human faces is an important research topic. The traditional way to achieve personalized real human facial animation requires multiple mature animation staff, and in practice, the complex process and difficult technology may bring obstacles to inexperienced users. This paper proposes a new process to solve this kind of work, which has the advantages of low cost and less time than the traditional production method. For the personalized real human face model obtained by 3D reconstruction technology, first, use R3ds Wrap to topology the model, then use Avatary to make 52 Blend-Shape model files suitable for AR-Kit, and finally realize real-time markerless face capture 3D real human on the UE4 platform facial motion capture, this study makes rational use of the advantages of software and proposes a more efficient workflow for real-time markerless facial motion capture of personalized 3D real human models, The process ideas proposed in this paper can be helpful for other scholars who study this kind of work.

• International Journal of Internet, Broadcasting and Communication
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• 제9권2호
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• pp.78-86
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• 2017

In this paper, we propose an energy-efficient scheduling scheme for real-time periodic tasks on a heterogeneous Grid computing system. The Grid system consists of heterogeneous processors providing the DVFS mechanism with a finite set of discrete clock frequencies. In order to save energy consumption, the proposed scheduling scheme assigns each real-time task to a processor with the least energy increment. Also the scheme activates a part of all available processors with unused processors powered off. Evaluation shows that the proposed scheme saves up to 70% energy consumption of the previous method.

• International Journal of Internet, Broadcasting and Communication
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• 제9권1호
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• pp.9-17
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• 2017

This paper describes a process of developing commercial real time image recognition system with company. In this paper we will make a system that is combining an empirical kernel map method and conjugate least squares support vector machine in order to represent images in a low-dimensional subspace for real time image recognition. In the traditional approach calculating these eigenspace models, known as traditional PCA method, model must capture all the images needed to build the internal representation. Updating of the existing eigenspace is only possible when all the images must be kept in order to update the eigenspace, requiring a lot of storage capability. Proposed method allows discarding the acquired images immediately after the update. By experimental results we can show that empirical kernel map has similar accuracy compare to traditional batch way eigenspace method and more efficient in memory requirement than traditional one. This experimental result shows that proposed model is suitable for commercial real time image recognition system.

• 한국인터넷방송통신학회논문지
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• 제10권4호
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• pp.1-5
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• 2010

오늘날 유비쿼터스 환경에서 전력망이나 이와 유사한 시스템의 실시간 원격 제어 및 모니터링 기술은 다양한 센서나 카메라를 통하여 획득한 정보를 시간과 지역에 구애됨이 없이 인터넷이나 이와 유사한 시스템을 통하여 공유할 수 있는 서비스를 제공한다. 본 논문에서는 인터넷 관리 시스템인 IMS(Internet Management System)을 이용한 시스템 성능평가 및 유지보수를 위한 태양광 발전시스템의 원격 실시간 감시 제어 방법을 소개하고, IMS를 물관리 시스템에 적용하여 실용적 가치를 검증하였다. 또한 실시간 데이터 전송 방식으로 위치에 상관없이 웹 브라우저를 통한 원격 제어가 가능하도록 설계하였다.

• 한국인터넷방송통신학회논문지
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• 제23권4호
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• pp.79-84
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• 2023

최근 분산 및 병렬 처리 기술 중 빠른 처리 속도를 제공하는 Apache Spark는 실시간 기능 및 머신러닝 기능을 제공하고 있다. 이러한 기능에 대한 공식 문서 가이드가 제공되고 있지만, 기능들을 융합하여 실시간으로 특정 값을 예측하는 방안은 제공되고 있지 않다. 따라서 본 논문에서는 이러한 기능들을 융합하여 실시간으로 데이터의 값을 예측할 수 있는 연구를 진행했다. 전체적인 구성은 Python 프로그래밍 언어에서 제공하는 주가 데이터를 다운로드하여 수집한다. 그리고 머신러닝 기능을 통해 회귀분석의 모델을 생성하고, 실시간 스트리밍 기능을 머신러닝 기능과 융합하여 실시간으로 주가 데이터 중 조정종가를 예측한다.

• International Journal of Internet, Broadcasting and Communication
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• 제10권4호
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• pp.75-82
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• 2018

Efforts to reduce damages from micro dust and harmful gases in life have been led by national or local governments, and information on air quality has been provided along with real-time weather forecast through TV and internet. It is not enough to provide information on the individual indoor space consumed. So in this paper, we propose a IoT-based Real-Time Air Quality Sensing Board Corresponding Fine Particle for Air Quality Management in Buildings. Proposed board is easy to install and can be placed in the right place. In the proposed board, the air quality (level of pollution level) in the indoor space (inside the building) is easy and it is possible to recognize the changed indoor air pollution situation and provide countermeasures. According to the advantages of proposed system, it is possible to provide useful information by linking information about the overall indoor space where at least one representative point is located. In this paper, we compare the performance of the proposed board with the existing air quality measurement equipment.

• International Journal of Internet, Broadcasting and Communication
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• 제9권2호
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• pp.20-26
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• 2017

Process control is crucial in many industries, especially in semiconductor manufacturing. In such large-volume multistage manufacturing systems, a product has to go through a very large number of processing steps with reentrant) before being completed. This manufacturing system has many machines of different types for processing a high mix of products. Each process step has specific quality standards and most of them have nonlinear dynamics due to physical and/or chemical reactions. Moreover, many of the processing steps suffer from drift or disturbance. To assure high stability and yield, on-line quality monitoring of the wafers is required. In this paper we develop a real-time fault detection system on semiconductor manufacturing process. Proposed system is superior to other incremental fault detection system and shows similar performance compared to batch way.

• International Journal of Internet, Broadcasting and Communication
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• 제7권2호
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• pp.1-8
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• 2015

Tracking of an object in 3D space performed in real-time is a significant task in different domains from autonomous robots to smart vehicles. In traditional methods, specific data acquisition equipments such as radars, lasers etc, are used. Contemporary computer technology development accelerates image processing, and it results in three-dimensional stereo vision to be used for localizing and object tracking in space. This paper describes a system for tracking three dimensional motion of an object using color information in real time. We create stereo images using pair of a simple web camera, raw data of an object positions are collected under realistic noisy conditions. The system has been tested using OpenCV and Matlab and the results of the experiments are presented here.

• International Journal of Internet, Broadcasting and Communication
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• 제13권1호
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• pp.194-200
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• 2021

This study proposes a plan to construct an integrated platform that reduces manufacturing costs and efficiently produce by integrating the systems of main producers, production subcontractors, and raw material subcontractors for the production of food packaging containers. The production plan of food packaging containers and raw materials is established in real time between the main producers, production subcontractors, and raw material subcontractors in consideration of the demand characteristics of each product. It establishes basic information that all processes from the production planning stage to the forwarding stage of the product are linked to each other. The progress of each producer of interlinked processes is shared in real-time to improve productivity and quality of food packaging containers and raw materials and reduce manufacturing costs. By monitoring the system of the main producer and the production subcontractor in real time, the production of food packaging containers is performed in a timely manner, thereby improving productivity. The application of the plan-do-check-action (PDCA) process, which includes planning, execution, evaluation and improvement in the production operation processes of the main producer, production subcontractor and raw material subcontractor, enables improved production compliance rate. The contents of the main producers, production subcontractors, and raw material subcontractors are managed in real time, then a converged production management system is established through the platform proposed in this study to ensure timely supply and demand of raw materials without delay in ordering.

• 한국멀티미디어학회논문지
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• 제12권1호
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• pp.69-84
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• 2009

본 논문에서는, 인터넷 방송을 원하는 다수의 개인들 혹은 소규모 조직들을 위한 실시간 웹캐스팅 프레임워크가 설계, 구현된다. 그리하여 콘텐츠 전달을 위한 최소한의 장비만 보유하고 있으면 누구나 손쉽게 자신의 인터넷 방송이 가능하도록 하자는 것이 제안된 프레임워크의 목적이다. 이러한 시스템은 다양한 동작 환경에 용이하게 대처할 수 있도록 유연성 있는 구조를 가져야 한다. 제안된 프레임워크는 3가지 유형의 컴포넌트를 기반으로 하는 계층 구조로 이루어져 있어, 그에 연관된 계층의 컴포넌트 변경을 통해 내부 혹은 외부의 동작 환경의 변화에 효과적으로 대처할 수 있다. 또한 상위 계층의 컴포넌트들을 하드웨어 플랫폼과 어떻게 대응시키느냐에 따라, 비용과 성능 면에서, 다양한 유형의 목적하는 시스템을 구축할 수 있다는 장점도 가지고 있다. 그리하여 제안된 프레임워크를 기반으로 인터넷 방송 시스템이 실제로 구현되고, 콘텐츠를 생성하는 제작부의 수와 시청자에 해당하는 수신부의 수의 변화에 따른 응답지연 시간이 측정된다. 그리하여 응답지연 시간은 잘 알려진 성능 모델 중 하나인 M/M/1 성능 모델을 따르고 있으며 현재 구현된 시스템은 약 16 내지 20여개 정도의 제작부를 수용할 수 있음을 보여주었다.