• Journal of Communications and Networks
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• v.18 no.3
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• pp.493-501
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• 2016

In-network storage is an effective technique for avoiding network congestion and reducing power consumption in continuous data collection in wireless sensor networks. In recent years, network coding based storage design has been proposed as a means to achieving ubiquitous access that permits any query to be satisfied by a few random (nearby) storage nodes. To maintain data consistency in continuous data collection applications, the readings of a sensor over time must be sent to the same set of storage nodes. In this paper, we present an efficient approach to updating data at storage nodes to maintain data consistency at the storage nodes without decoding out the old data and re-encoding with new data. We studied a transmission strategy that identifies a set of storage nodes for each source sensor that minimizes the transmission cost and achieves ubiquitous access by transmitting sparsely using the sparse matrix theory. We demonstrate that the problem of minimizing the cost of transmission with coding is NP-hard. We present an approximation algorithm based on regarding every storage node with memory size B as B tiny nodes that can store only one packet. We analyzed the approximation ratio of the proposed approximation solution, and compared the performance of the proposed coding approach with other coding schemes presented in the literature. The simulation results confirm that significant performance improvement can be achieved with the proposed transmission strategy.

• Journal of Communications and Networks
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• v.15 no.1
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• pp.71-76
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• 2013

A new class of quantum low-density parity-check (LDPC) codes whose parity-check matrices are dual-containing matrices constructed based on lines of Euclidean geometries (EGs) is presented. The parity-check matrices of our quantum codes contain one and only one 4-cycle in every two rows and have better distance properties. However, the classical parity-check matrix constructed from EGs does not satisfy the condition of dual-containing. In some parameter conditions, parts of the rows in the matrix maybe have not any nonzero element in common. Notably, we propose four families of fascinating structure according to changes in all the parameters, and the parity-check matrices are adopted to satisfy the requirement of dual-containing. Series of matrix properties are proved. Construction methods of the parity-check matrices with dual-containing property are given. The simulation results show that the quantum LDPC codes constructed by this method perform very well over the depolarizing channel when decoded with iterative decoding based on the sum-product algorithm. Also, the quantum codes constructed in this paper outperform other quantum codes based on EGs.

• Journal of Communications and Networks
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• v.9 no.3
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• pp.265-273
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• 2007

This paper expands an analytical performance model of 802.11 to accurately estimate throughput and energy demand of 802.11-based wireless sensor network (WSN) when sensor nodes employ Reed-Solomon (RS) codes, one of block forward error correction (FEC) techniques. This model evaluates these two metrics as a function of the channel bit error rate (BER) and the RS symbol size. Since the basic recovery unit of RS codes is a symbol not a bit, the symbol size affects the WSN performance even if each packet carries the same amount of FEC check bits. The larger size is more effective to recover long-lasting error bursts although it increases the computational complexity of encoding and decoding RS codes. For applying the extended model to WSNs, this paper collects traffic traces from a WSN consisting of two TIP50CM sensor nodes and measures its energy consumption for processing RS codes. Based on traces, it approximates WSN channels with Gilbert models. The computational analyses confirm that the adoption of RS codes in 802.11 significantly improves its throughput and energy efficiency of WSNs with a high BER. They also predict that the choice of an appropriate RS symbol size causes a lot of difference in throughput and power waste over short-term durations while the symbol size rarely affects the long-term average of these metrics.

• ETRI Journal
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• v.43 no.3
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• pp.389-399
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• 2021

In this paper, we propose one-bit feedback-based distributed beamforming (DBF) techniques for simultaneous wireless information and power transfer in interference channels where the information transfer and power transfer networks coexist in the same frequency spectrum band. In a power transfer network, multiple distributed energy transmission nodes transmit their energy signals to a single energy receiving node capable of harvesting wireless radio frequency energy. Here, by considering the Internet-of-Things sensor network, the energy harvesting/information decoding receivers (ERx/IRx) can report their status (which may include the received signal strength, interference, and channel state information) through one-bit feedback channels. To maximize the amount of energy transferred to the ERx and simultaneously minimize the interference to the IRx, we developed a DBF technique based on one-bit feedback from the ERx/IRx without sharing the information among distributed transmit nodes. Finally, the proposed DBF algorithm in the interference channel is verified through the simulations and also implemented in real time by using GNU radio and universal software radio peripheral.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.15 no.6
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• pp.119-125
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• 2005

We propose a new code-based publick key encryption scheme. It is obtained by modifying the Augot and Finiasz scheme proposed at Eurocrypt 2003. We replace the Reed-Solomon codes with general algebraic-geometry codes and employ Guruswami-Sudan decoding algorithm for decryption. The scheme is secure against Colon's attack or Kiayias and Yung's attack to which the Augot and Finiasz scheme is vulnerable. Considering basic attacks aprlied to the Augot and Finiasz scheme, we claim that the proposed scheme provides similar security levels as the Augot and Finiasz scheme was claimed to provide for given key lengths.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.1296-1299
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• 2009

본 논문은 이동체에 대한 위성방송 및 인터넷 서비스를 지속적으로 제공하기 위해 기존의 DVB-S2 표준화에 DVB-H 와 DVB-T 를 결합한 새로운 DVB-SSP 표준화에 대한 연구를 하고 있다. 이동형 DVB-S2의 표준화는 DVB-SSP 라 불리며 최근에는 DVB-SH로 불리고 있다. 이는 이동체에 대해서 위성을 이용한 통신 방식을 규정하고 있으며, physical layer 와 upper layer 의 두 단계로 부호화 및 복호화하는 방식인 cross layer 부호화 방식을 적용하고 있다. 기존의 방식 경우, LDPC 복호후 CRC 검사를 수행하여 수신된 데이터에서 1 bit 의 오류에도 IP 패킷 모두를 삭제함으로써 복호시 비효율성을 나타낼 수 있다. 따라서 본 논문에서는 LDPC 복호기에 출력되는 LLR 값을 이용하여 IP 패킷 전체를 삭제하는 것이 아니라 LLR 값이 낮은 비트만 선택적으로 삭제하는 방식을 제안하며, 이를 시뮬레이션하여 기존의 CRC 방식과 비교하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.197-200
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• 2021

몰입형 고품질 가상 현실 영상 스트리밍을 위한 360도 영상 부호화 및 전송 기술 중 하나로 사용자 시점 기반 타일 스트리밍 기법이 활발히 연구되고 있다. 360도 영상은 용량이 크기 때문에 개별 타일 기반 스트리밍 방법을 사용해 사용자 시점만 보내는 것이 효율적이다. 본 논문은 시점 기반 가상 현실 영상 복호화 시스템을 위한 복호기 적응적 타일 클러스터링 알고리즘을 제안한다. 제안하는 방법은 클라이언트의 복호기가 최대로 복호화 가능한 해상도를 탐색한 후, 사용자 시점 데이터와 복호기 적응적 타일 클러스터링 알고리즘을 이용해 클러스터화할 복수 개의 사용자 시점 타일들의 목록을 생성한 후, 타일 병합기를 이용해 타일들을 병합하여 클러스터 비트스트림을 생성한다. 이후 클라이언트는 병합된 클러스터 비트스트림들을 복호화한 후 사용자 시점을 생성한다. 제안하는 방법을 이용하면 클라이언트의 복호기 환경에 제약받지 않는 복호화가 가능하며, 제안하는 방법 중 하나인 4K_clustering 방법의 경우 8%의 복호화 속도 개선 효과를 얻을 수 있어 몰입형 고품질 가상 현실 영상을 위한 실시간 타일 스트리밍이 가능하다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.6
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• pp.84-89
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• 2003

In this paper, we real-time implemented to the TMS320C5416 the vocoder of variable bit rate applied the SOLA-B algorithm by Henja to the ITU-T G.729A vocoder of 8kbps transmission rate. This proposed method using the SOLA-B algorithm is that it is reduced the duration of the speech in encoding and is played at the speed of normal by extending the duration of the speech in decoding. At this time, we bandied that the interval of cross correlation function if skipped every 3 sample for decreasing the computational amount of SOLA-B algorithm. The real-time implemented vocoder of C.729A and SOLA-B algorithm is represented the complexity of maximum that is 10.2MIPS in encoder and 2.8MIPS in decoder of 8kbps transmission rate. Also, it is represented the complexity of maximum that is 18.5MIPS in encoder and 13.1MIPS in decoder of 6kbps, it is 18.5MIPS in encoder and 13.1MIPS in decoder of 4kbps. The used memory is about program ROM 9.7kwords, table ROM 4.5kwords, RAM 5.1 kwords. The waveform of output is showed by the result of C simulator and Bit Exact. Also, for evaluation of speech quality of the vocoder of real-time implemented variable bit rate, it is estimated the MOS score of 3.69 in 4kbps.

• Journal of KIISE:Information Networking
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• v.29 no.1
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• pp.86-96
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• 2002

In video conferencing system using H.263 encoding and decoding time is as important as compression rate is. To reduce encoding time, a number of methods were proposed. We use a method of them that reduces the computational complexity in motion estimation. The complexity is determined by three factors, such as a cost function, a search range parameter, and a motion search algorithm. In fact, it takes a lot of time to encode the video data on account of the cost function factor. That's the reason that we use the factor to reduce encoding time. In this paper, we tried to reduce total encoding time by reducing the number of calling the cost function. In case of a little moving, our algorithm enabled faster motion searching than TSS(Three Step Search) and NTSS(New TSS). Here, we called the algorithm by an ITSS(Improved TSS) that improves a shortcoming of NTSS requiring more checkpoints than TSS. For an experimentation, our algorithm was compared to other algorithms using PSNR, file size and SAD call times.

• Journal of the Institute of Electronics and Information Engineers
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• v.49 no.9
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• pp.92-103
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• 2012

In this paper, we discuss and propose a new algorithm of coding technique for scalably servicing holographic video in various decoding environment. The proposed algorithm consists of the hologram-based resolution scalable coding (HRS) and the light source-based SNR scalable coding (LSS). They are classified by the method generating and capturing hologram. HRS is a scalable coding technique for the optically captured hologram and LSS is one for the light source before generating hologram. HRS can provide the scalable service of 8 steps with the compression ratio from 1:1 to 100:1 for a $1,024{\times}1,024$ hologram. LSS can also provide the various service depending on the number of the light source division using lossless compression. The proposed techniques showed the scalable holographic video service according to the display with the various resolutions, computational power of the receiving equipment, and the network bandwidth.