• 대한임베디드공학회논문지
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• 제4권2호
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• pp.79-83
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• 2009

Streaming Technology can support the real-time playback without downloading and storing multimedia data in local HDD. So, client browser or plug-in can represent multimedia data before the end of file transmission using streaming technology. Recently, the demand for efficient real-time playback and transmission of large amounts of multimedia data is growing rapidly. But most users' connections over network are not fast and stable enough to download large chunks of multimedia data. In this paper, we propose an intelligent IP streaming system based on personalized media service. The proposed IP streaming system enables users to get an intelligent recommendation of multimedia contents based on the user preference information stored on the streaming server or the home media server. The supposed intelligent IP streaming system consists of Server Metadata Agent, Pumping Server, Contents Storage Server, Client Metadata Agent and Streaming Player. And in order to implement the personalized media service, the user information, user preference information and client device information are managed under database concept. Moreover, users are assured of seamless access of streamed content event if they switch to another client device by implementing streaming system based on user identification and device information. We evaluate our approach with manufacturing home server system and simulation results.

• 한국멀티미디어학회논문지
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• 제7권8호
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• pp.1145-1161
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• 2004

본 연구는 인터넷에 분산되어 있는 언어자원들의 미디어 데이터를 통합하여 멀티미디어 전자사전 시스템을 구축하는 기법을 연구하는 것으로, 텍스트 데이터를 기반으로 한 기존 전자사전 시스템을 멀티미디어 환경으로 발전시킨다. 이를 위하여 인터넷에 분산되어 있는 언어자원들의 미디어 데이터를 웹 브라우저 환경에서 통합하는 기법을 제안한다. 제안하는 기법은 미디어 통합데이터에 의해 웹 브라우저가 모든 작업을 수행하므로 복잡한 서버 시스템을 필요로 하지 않는다. 구현하는 전자사전은 웹 브라우저 환경에서 작동하며, 텍스트와 이미지 및 음성을 통합하여 합성하거나 움직임을 재생한다. 통합과 움직임의 데이터를 기술하기 위하여 각 미디어의 의미를 분석하여 SMIL 문서를 생성하고 웹 브라우저에서 실행하도록 하였다. 제안하는 멀티미디어 전자사전 시스템은 단순한 미디어 데이터들을 통합하는 방식으로 작동하므로 전용 서버 시스템을 필요로 하지 않는다. 또한, 각 미디어 데이터는 분산되어 있는 데이터를 공유하는 형태이므로 저장 공간을 절약하게 되며, 최근의 데이터로 갱신하는 것이 간단하게 이루어진다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권4호
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• pp.1448-1463
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• 2021

With the continuous development of cloud storage, plenty of redundant data exists in cloud storage, especially multimedia data such as images and videos. Data deduplication is a data reduction technology that significantly reduces storage requirements and increases bandwidth efficiency. To ensure data security, users typically encrypt data before uploading it. However, there is a contradiction between data encryption and deduplication. Existing deduplication methods for regular files cannot be applied to image deduplication because images need to be detected based on visual content. In this paper, we propose a secure image deduplication scheme based on hashing and clustering, which combines a novel perceptual hash algorithm based on Local Binary Pattern. In this scheme, the hash value of the image is used as the fingerprint to perform deduplication, and the image is transmitted in an encrypted form. Images are clustered to reduce the time complexity of deduplication. The proposed scheme can ensure the security of images and improve deduplication accuracy. The comparison with other image deduplication schemes demonstrates that our scheme has somewhat better performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권12호
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• pp.4508-4530
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• 2021

Today distributed data storage service are being widely used. However lack of proper means of security makes the user data vulnerable. In this work, we propose a Randomized Block Size (RBS) model for secure data storage in distributed environments. The model work with multifold block sizes encrypted with the Chinese Remainder Theorem-based RSA (C-RSA) technique for end-to-end security of multimedia data. The proposed RBS model has a key generation phase (KGP) for constructing asymmetric keys, and a rand generation phase (RGP) for applying optimal asymmetric encryption padding (OAEP) to the original message. The experimental results obtained with text and image files show that the post encryption file size is not much affected, and data is efficiently encrypted while storing at the distributed storage server (DSS). The parameters such as ciphertext size, encryption time, and throughput have been considered for performance evaluation, whereas statistical analysis like similarity measurement, correlation coefficient, histogram, and entropy analysis uses to check image pixels deviation. The number of pixels change rate (NPCR) and unified averaged changed intensity (UACI) were used to check the strength of the proposed encryption technique. The proposed model is robust with high resilience against eavesdropping, insider attack, and chosen-plaintext attack.

• 한국산업정보학회논문지
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• 제12권4호
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• pp.32-40
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• 2007

모바일 단말은 객체기반 IP 스토리지의 대용량 데이터를 객체 단위로 IP 네트워크를 통해 접근하여 이용할 수 있다. 객체기반 IP 스토리지는 데이터 입출력 시 WLAN을 주로 이용하고 있으며, WLAN은 모바일 단말에서 소모 전력이 큰 장치 중의 하나로 알려져 있다. 본 논문에서는 효율적인 WLAN 전력제어를 포함하는 모바일 단말을 위한 저전력 객체기반 스토리지를 설계하고 구현한다. 제안하는 WLAN 전력 제어 기법은 스토리지로 향하는 네트워크 트래픽 내에 존재하는 유휴시간을 선반입버퍼를 이용하여 최대화하고, WLAN에서 제공하는 전력모드 상태를 제어하여 WLAN 전력소모를 최소화한다. PXA270기반 모바일 단말 상에서 멀티미디어 콘텐츠 재생을 통한 실험에서 제안한 기법을 이용할 경우에 모바일 단말 전체 소모 전력을 9% 이상 줄일 수 있음을 확인하였다.

• 한국멀티미디어학회논문지
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• 제22권9호
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• pp.1055-1068
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• 2019

As the container market is expected to continue to increase, the volume of containers will increase, and the volume of empty containers will be proportional to this. Imbalances between imports and exports in each country have emerged, and the issue of collection and storage of empty containers is becoming more and more important, and it is necessary to appropriately deal with container demand for container presents. Therefore, in this paper, we are trying to develop a website that provides various empty container information and provides empty container leasing services based on this information. Through the development of these empty container websites, we would like to make empty container leasing and operations more efficient, improve empty container-related services and reduce costs.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2013년도 춘계학술발표대회
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• pp.898-899
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• 2013

There are numerous approaches to improve the performances of database systems. The most efficient ones are considered to be implementing an effective database indexing technique. This must guarantee the balance between the memory, storage resources and processor of the database server according to the type, structure, the physical organization and the cardinality of data, the type of queries and the number of competing transactions. The challenge is to find an appropriate index type that would suite these requirements. In this paper, we provide an overview of the most used database indexing techniques such as B-tree index and Bitmap index, present an analysis of these techniques and discuss their limitations.

• Journal of Multimedia Information System
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• 제9권3호
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• pp.209-218
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• 2022

Industrial IoT applications, including smart factories, require two problem-solving to build data monitoring systems required by services from distributed IoT sensors (smart sensors). One is to overcome proprietary protocols, data formats, and hardware differences and to uniquely identify and connect IoT sensors, and the other is to overcome the problem of changing the server-side data storage structure and sensor data transmission format according to the addition or change of service or IoT sensors. The IEEE 1451.4 standard-based or IPMI specification-based smart sensor technology supports the development of plug-and-play sensors that solve the first problem. However, there is a lack of research that requires a second problem-solving, which requires support for the plug-in of IoT sensors into remote services. To propose a solution for the integration of these two problem-solving, we present a IoT sensor platform, a service system architecture, and a service plugin protocol for the MQTT-based IIoT application environment.

• 한국정보과학회논문지:시스템및이론
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• 제31권8호
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• pp.445-452
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• 2004

디스크의 구역분할기술(zoning technology)은 디스크의 저장용량과 평균 전송 대역폭을 증가시킴으로써, 디스크 서브시스템의 성능을 향상시켰다. 멀티미디어 시스템에서 구역분할 디스크의 성능을 충분히 이용하기 위하여 이중 버퍼링을 하는 SCAN 스케줄링을 사용한다. 하지만, 이 방식은 새로운 스트림의 요청 시에 지터(jitter)를 발생시키는 문제점이 있다. 본 논문에서는 이 문제를 해결하기 위한 선행버퍼링(pre-buffering) 기법을 제안한다. 선행 버퍼링은 디스크 서브시스템의 수학적 모델을 통하여 스트림의 개수에 따른 주기시간과 각 주기시간에 필요한 데이타 양, 그리고 새로운 스트림 요청 시에 발생하는 데이타의 부족분을 예측하고, 예상되는 데이타의 부족분을 각 스트림의 서비스 전에 미리 버퍼링함으로써, 지터를 방지한다. 선행 버퍼링 기법은 멀티미디어 서버에 적용되어 사용자에게 지터 없는 고품질의 서비스를 제공하는 데 기여할 수 있다.

• 한국멀티미디어학회논문지
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• 제23권8호
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• pp.1019-1029
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• 2020

In this paper, we propose a novel knowledge distillation algorithm to create an compressed deep ensemble network coupled with the combined use of local and global features of face images. In order to transfer the capability of high-level recognition performances of the ensemble deep networks to a single deep network, the probability for class prediction, which is the softmax output of the ensemble network, is used as soft target for training a single deep network. By applying the knowledge distillation algorithm, the local feature informations obtained by training the deep ensemble network using facial subregions of the face image as input are transmitted to a single deep network to create a so-called compressed ensemble DCNN. The experimental results demonstrate that our proposed compressed ensemble deep network can maintain the recognition performance of the complex ensemble deep networks and is superior to the recognition performance of a single deep network. In addition, our proposed method can significantly reduce the storage(memory) space and execution time, compared to the conventional ensemble deep networks developed for face recognition.