• Title/Summary/Keyword: data encoding

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Creating Covert Channel by Harnessing Shapley Values from Smartphone Sensor Data

  • Ho, Jun-Won
    • International journal of advanced smart convergence
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    • v.10 no.3
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    • pp.10-16
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    • 2021
  • In this paper, we devise a Shapley-value-based covert channel in smartphones. More specifically, unlike ordinary use of Shapley value in cooperative game, we make use of a series of Shapley values, which are computed from sensor data collected from smartphones, in order to create a covert channel between encoding smartphone and decoding smartphone. To the best of our knowledge, we are the first to contrive covert channel based on Shapley values. We evaluate the encoding process of our proposed covert channel through simulation and present our evaluation results.

An Encoding Method for Presentation of ISO 19848 Data Channel and Management of Ship Equipment Failure-Maintenance Types (ISO 19848 데이터 채널 표현과 선박 기관장비 고장·유지보수 유형 관리를 위한 코드화 기법)

  • Hwang, Hun-Gyu;Woo, Yun-Tae;Kim, Bae-Sung;Shin, Il-Sik;Lee, Jang-Se
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.1
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    • pp.134-137
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    • 2020
  • Recently, there are emphasized to support the maintenance and management system of vessels using acquired data from engine part equipment. But, there are limitations for data exchange and management. To solve the problem, the ISO published ISO 19847 and 19848. In this paper, we analyze the ISO 19848 requirements related to identify data channel ID for ship equipment, and propose the examples for applying encoding techniques. In addition, we suggest the proposed technique for applying of managing the failure and maintenance type of the ship's engine part facilities by examples. If this method is applied, the vessel's equipment can exchange data through the sharing of the code table, and express what response is needed or acted, including where the failure occurred.

Performance Evaluation of DC-Suppression GS Coding for the Holographic Data Storage Using Integer Programming Models (정수계획법 모형을 이용한 홀로그래픽 저장장치의 DC-억압 GS코딩의 성능평가)

  • Park, Taehyung;Lee, Jaejin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.8
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    • pp.650-655
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    • 2013
  • For the DC-free encoding of source data, the Guided Scrambling (GS) technique is widely used as multi-mode coding in the optical data storage system. For DC-suppression GS coding in the holographic data storage system, the conservative array and balanced coding criteria are proposed. In this paper, equivalent integer programming models are developed to determine the optimal control bits for the minimum digital sum value (MDSV), conservative array, and balanced coding criteria. Using the proposed integer programming models, we compare the performance of GS encoding for the various combination of control bit/array sizes and scrambling polynomials.

Comparison Study of Multi-class Classification Methods

  • Bae, Wha-Soo;Jeon, Gab-Dong;Seok, Kyung-Ha
    • Communications for Statistical Applications and Methods
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    • v.14 no.2
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    • pp.377-388
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    • 2007
  • As one of multi-class classification methods, ECOC (Error Correcting Output Coding) method is known to have low classification error rate. This paper aims at suggesting effective multi-class classification method (1) by comparing various encoding methods and decoding methods in ECOC method and (2) by comparing ECOC method and direct classification method. Both SVM (Support Vector Machine) and logistic regression model were used as binary classifiers in comparison.

Multi-Sever based Distributed Coding based on HEVC/H.265 for Studio Quality Video Editing

  • Kim, Jongho;Lim, Sung-Chang;Jeong, Se-Yoon;Kim, Hui-Yong
    • Journal of Multimedia Information System
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    • v.5 no.3
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    • pp.201-208
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    • 2018
  • High Efficiency Video Coding range extensions (HEVC RExt) is a kind of extension model of HEVC. HEVC RExt was specially designed for dealing the high quality images. HEVC RExt is very essential for studio editing which handle the very high quality and various type of images. There are some problems to dealing these massive data in studio editing. One of the most important procedure is re-encoding and decoding procedure during the editing. Various codecs are widely used for studio data editing. But most of the codecs have common problems to dealing the massive data in studio editing. First, the re-encoding and decoding processes are frequently occurred during the studio data editing and it brings enormous time-consuming and video quality loss. This paper, we suggest new video coding structure for the efficient studio video editing. The coding structure which is called "ultra-low delay (ULD)". It has the very simple and low-delayed referencing structure. To simplify the referencing structure, we can minimize the number of the frames which need decoding and re-encoding process. It also prevents the quality degradation caused by the frequent re-encoding. Various fast coding algorithms are also proposed for efficient editing such as tool-level optimization, multi-serve based distributed coding and SIMD (Single instruction, multiple data) based parallel processing. It can reduce the enormous computational complexity during the editing procedure. The proposed method shows 9500 times faster coding speed with negligible loss of quality. The proposed method also shows better coding gain compare to "intra only" structure. We can confirm that the proposed method can solve the existing problems of the studio video editing efficiently.

Integer Programming Model and Heuristic on the Guided Scrambling Encoding for Holographic Data Storage (홀로그래픽 저장장치에 대한 GS 인코딩의 정수계획법 모형 및 휴리스틱)

  • Park, Taehyung;Lee, Jaejin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.8
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    • pp.656-661
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    • 2013
  • In Guided Scrambling (GS) encoding for the holographic storage, after scrambling augmented source word into codeword, the best codeword satisfying modulation constraint is determined. Modulation constraints considered in this paper are strength which is the minimum number of transition between '0' and '1' in each row and column of codeword array and the symbol balancedness of codeword array. In this paper, we show that GS encoding procedure can be formulated as an integer programming model and develop a fast neighborhood search heuristic for fast computation of control bits. In the simulation, we compared the performance of heuristic algorithm with the integer programming model for various array and control bit size combinations.

Audio Steganography Method Using Least Significant Bit (LSB) Encoding Technique

  • Alarood, Alaa Abdulsalm;Alghamdi, Ahmed Mohammed;Alzahrani, Ahmed Omar;Alzahrani, Abdulrahman;Alsolami, Eesa
    • International Journal of Computer Science & Network Security
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    • v.22 no.7
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    • pp.427-442
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    • 2022
  • MP3 is one of the most widely used file formats for encoding and representing audio data. One of the reasons for this popularity is their significant ability to reduce audio file sizes in comparison to other encoding techniques. Additionally, other reasons also include ease of implementation, its availability and good technical support. Steganography is the art of shielding the communication between two parties from the eyes of attackers. In steganography, a secret message in the form of a copyright mark, concealed communication, or serial number can be embedded in an innocuous file (e.g., computer code, video film, or audio recording), making it impossible for the wrong party to access the hidden message during the exchange of data. This paper describes a new steganography algorithm for encoding secret messages in MP3 audio files using an improved least significant bit (LSB) technique with high embedding capacity. Test results obtained shows that the efficiency of this technique is higher compared to other LSB techniques.

A Study on VOB Encoding for Implementing DVD-Video System (DVD-Video구현을 위한 VOB Encoding에 관한 연구)

  • 장형일;박인규
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.923-926
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    • 1998
  • 비디오 스트림과 오디오 스트림 그리고 제어신호등의 서로 다른 종류의 digital data 들을 저장 또는 전송하기 위해서는 하나의 스트림으ㅗ 통합하기 위해 다중화 과정을 거쳐야 한다. 이러한 다중화 과정에서 가장 중요한 문제점은 하나로 묶여진 일련의 스트림을 원래의 순차대로 복원해주는 동기화 문제이고, DVD-Video에서는 MPEG2 system를 이용한 동기방식을 사용한다. 본 논문은 DVD 규격에 맞추어 Microsoft의 Visual C++5.0을 이용하여 software로 VOB를 구현하였다. 입력 스트림은 MPEG2로 압축된 비디오스트림과 최대 8개의 5.1채널 AC3 오디오스트림이고 각 스트림은 frame단위로 구성이 된다. 이 frame들을 단위로 time stamp가 부여되며 time stamp의 비교에 의해 우선 순위를 부여하여 encoding을 하게된다. 그리고 같은 time stamp를 가졌을 경우 발생하는 encoding 순서의 문제는 스트림별로 미리 우선 순위를정함으로써 해결했다.

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Fast Double Random Phase Encoding by Using Graphics Processing Unit (GPU 컴퓨팅에 의한 고속 Double Random Phase Encoding)

  • Saifullah, Saifullah;Moon, In-Kyu
    • Proceedings of the Korea Multimedia Society Conference
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    • 2012.05a
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    • pp.343-344
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    • 2012
  • With the increase of sensitive data and their secure transmission and storage, the use of encryption techniques has become widespread. The performance of encoding majorly depends on the computational time, so a system with less computational time suits more appropriate as compared to its contrary part. Double Random Phase Encoding (DRPE) is an algorithm with many sub functions which consumes more time when executed serially; the computation time can be significantly reduced by implementing important functions in a parallel fashion on Graphics Processing Unit (GPU). Computing convolution using Fast Fourier transform in DRPE is the most important part of the algorithm and it is shown in the paper that by performing this portion in GPU reduced the execution time of the process by substantial amount and can be compared with MATALB for performance analysis. NVIDIA graphic card GeForce 310 is used with CUDA C as a programming language.

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Compression of Normal Vectors using Octree Encoding (옥트리 인코딩을 이용한 법선 벡터의 압축)

  • Kim, Y.J.;Kim, J.J.
    • Korean Journal of Computational Design and Engineering
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    • v.12 no.2
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    • pp.109-117
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    • 2007
  • Three-dimensional mesh models have been widely used in various applications such as simulations, animations, and e-catalogs. In such applications the normal vectors of mesh models are used mainly for shading and take up the major portion of data size and transmission time paper over networks. Therefore a variety of techniques have been developed to compress them efficiently. In this paper, we propose the MOEC (Modified Octree Encoding Compression) algorithm, which allow multi lever compression ratios for 3D mesh models. In the algorithm, a modified octree has nodes representing their own positions and supporting a depth of the tree so that the normal vectors are compressed up to levels where the shading is visually indistinguishable. This approach provides efficient in compressing normals with multi-level ratios, without additional encoding when changing in compression ratio is required.