• Title/Summary/Keyword: word processor

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A Study on the Automated e-book Electronic Publishing System (자동화된 e-book 전자출판 시스템에 관한 연구)

  • Joo, Sang-woong;Kang, Hyun-jin;Kim, Kyung-hwan;Kim, Chang-su;Jung, Hoe-kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.617-619
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    • 2015
  • If you are sharing a manual created in small organizations, webzine, and other publications, the original or a PDF file or a file created with a word processor to facilitate the sharing of publications and the members of the organization through the data downloaded from the mail or the web most have been used. However, users often do not want to see one online source or download the file. In this paper, If the original file of the word processor on windows-based systems, in this paper, only the upload progress in implementing e-book publishing system automatically e-book system is viewable on the Web by providing a range of information for users and small members and we propose a system construction that can be shared.

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On the Real Time Implementation of the TWS System Using the TMS320C25 DSP (TMS320C25 DSP를 이용한 실시간 TWS 시스템 구현)

  • Kee, Seok-Cheol;Lee, Sang-Uk
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.26 no.6
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    • pp.147-155
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    • 1989
  • In this paper, a real-time implementation of the TWS(track-while-scan) system using the high-speed DSP (digital signal processor) TMS320C25 is described. First, attempts have been made to investigate the FWL (finite word length) effect, which is caused by employing a fixed point arithmetic, of implementing the Kalman filter. The real-time TWS system consists of TWS arithmetic unit, scan converter, and system controller. In addition, the TWS system is in tegrated in the Multi-Bus. In experiment, it is observed that by employing the floating point arithmetic the computation time of 0.35sec is required for tracking 8 targets simultaneously, while 0.28sec is required for the fixed point arithmetic. Since the TWS system is designed to track up to 8 targets simultaneously, we conclude that the system is enough to process Kalman filter in a real-time.

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Memory Reduction Method of Radix-22 MDF IFFT for OFDM Communication Systems (OFDM 통신시스템을 위한 radix-22 MDF IFFT의 메모리 감소 기법)

  • Cho, Kyung-Ju
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.13 no.1
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    • pp.42-47
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    • 2020
  • In OFDM-based very high-speed communication systems, FFT/IFFT processor should have several properties of low-area and low-power consumption as well as high throughput and low processing latency. Thus, radix-2k MDF (multipath delay feedback) architectures by adopting pipeline and parallel processing are suitable. In MDF architecture, the feedback memory which increases in proportion to the input signal word-length has a large area and power consumption. This paper presents a feedback memory size reduction method of radix-22 MDF IFFT processor for OFDM applications. The proposed method focuses on reducing the feedback memory size in the first two stages of MDF architectures since the first two stages occupy about 75% of the total feedback memory. In OFDM transmissions, IFFT input signals are composed of modulated data and pilot, null signals. In order to reduce the IFFT input word-length, the integer mapping which generates mapped data composed of two signed integer corresponding to modulated data and pilot/null signals is proposed. By simulation, it is shown that the proposed method has achieved a feedback memory reduction up to 39% compared to conventional approach.

Efficient Hangul Word Processor (HWP) Malware Detection Using Semi-Supervised Learning with Augmented Data Utility Valuation (효율적인 HWP 악성코드 탐지를 위한 데이터 유용성 검증 및 확보 기반 준지도학습 기법)

  • JinHyuk Son;Gihyuk Ko;Ho-Mook Cho;Young-Kuk Kim
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.34 no.1
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    • pp.71-82
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    • 2024
  • With the advancement of information and communication technology (ICT), the use of electronic document types such as PDF, MS Office, and HWP files has increased. Such trend has led the cyber attackers increasingly try to spread malicious documents through e-mails and messengers. To counter such attacks, AI-based methodologies have been actively employed in order to detect malicious document files. The main challenge in detecting malicious HWP(Hangul Word Processor) files is the lack of quality dataset due to its usage is limited in Korea, compared to PDF and MS-Office files that are highly being utilized worldwide. To address this limitation, data augmentation have been proposed to diversify training data by transforming existing dataset, but as the usefulness of the augmented data is not evaluated, augmented data could end up harming model's performance. In this paper, we propose an effective semi-supervised learning technique in detecting malicious HWP document files, which improves overall AI model performance via quantifying the utility of augmented data and filtering out useless training data.

Construction and Evaluation of a Sentiment Dictionary Using a Web Corpus Collected from Game Domain (게임 도메인 웹 코퍼스를 이용한 감성사전 구축 및 평가)

  • Jeong, Woo-Young;Bae, Byung-Chull;Cho, Sung Hyun;Kang, Shin-Jin
    • Journal of Korea Game Society
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    • v.18 no.5
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    • pp.113-122
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    • 2018
  • This paper describes an approach to building and evaluating a sentiment dictionary using a Web corpus in the game domain. To build a sentiment dictionary, we collected vocabulary based on game-related web documents from a domestic portal site, using the Twitter Korean Processor. From the collected vocabulary, we selected the words whose POS are tagged as either verbs or adjectives, and assigned sentiment score for each selected word. To evaluate the constructed sentiment dictionary, we calculated F1 score with precision and recall, using Korean-SWN that is based on English Senti-word Net(SWN). The evaluation results show that average F1 scores are 0.85 for adjectives and 0.77 for verbs, respectively.

Design of an Optimized 32-bit Multiplier for RSA Cryptoprocessors (RSA 암호화 프로세서에 최적화한 32비트 곱셈기 설계)

  • Moon, Sang-Ook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.1
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    • pp.75-80
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    • 2009
  • RSA cryptoprocessors equipped with more than 1024 bits of key space handle the entire key stream in units of blocks. The RSA processor which will be the target design in this paper defines the length of the basic word as 128 bits, and uses an 256-bits register as the accumulator. For efficient execution of 128-bit multiplication, 32b*32b multiplier was designed and adopted and the results are stored in 8 separate 128-bit registers according to the status flag. In this paper, a fast 32bit modular multiplier which is required to execute 128-bit MAC (multiplication and accumulation) operation is proposed. The proposed architecture prototype of the multiplier unit was automatically synthesized, and successfully operated at the frequency in the target RSA processor.

Hardware Design of VLIW coprocessor for Computer Vision Application (컴퓨터 비전 응용을 위한 VLIW 보조프로세서의 하드웨어 설계)

  • Choi, Byeong-Yoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.9
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    • pp.2189-2196
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    • 2014
  • In this paper, a VLIW(Very Long Instruction Word) vision coprocessor which can efficiently accelerate computer vision algorithm for automotive is designed. The VLIW coprocessor executes four instructions per clock cycle via 8-stage pipelined structure and has 36 integer and floating-point instructions to accelerate computer vision algorithm for pedestrian detection. The processor has about 300-MHz operating frequency and about 210,900 gates under 45nm CMOS technology and its estimated performance is 1.2 GOPS(Giga Operations Per Second). The vision system composed of vision primitive engine and eight VLIW coprocessors can execute pedestrian detection at 25~29 frames per second(FPS). Because the VLIW coprocessor has high detection rate and loosely coupled interface with host processor, it can be efficiently applicable to a wide range of vision applications.

Low-Cost Elliptic Curve Cryptography Processor Based On Multi-Segment Multiplication (멀티 세그먼트 곱셈 기반 저비용 타원곡선 암호 프로세서)

  • LEE Dong-Ho
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.42 no.8 s.338
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    • pp.15-26
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    • 2005
  • In this paper, we propose an efficient $GF(2^m)$ multi-segment multiplier architecture and study its application to elliptic curve cryptography processors. The multi-segment based ECC datapath has a very small combinational multiplier to compute partial products, most of its internal data buses are word-sized, and it has only a single m bit multiplexer and a single m bit register. Hence, the resource requirements of the proposed ECC datapath can be minimized as the segment number increases and word-size is decreased. Hence, as compared to the ECC processor based on digit-serial multiplication, the proposed ECC datapath is more efficient in resource usage. The resource requirement of ECC Processor implementation depends not only on the number of basic hardware components but also on the complexity of interconnection among them. To show the realistic area efficiency of proposed ECC processors, we implemented both the ECC processors based on the proposed multi-segment multiplication and digit serial multiplication and compared their FPGA resource usages. The experimental results show that the Proposed multi-segment multiplication method allows to implement ECC coprocessors, requiring about half of FPGA resources as compared to digit serial multiplication.

Study of the Noise Processing to Technique Speech Recognition System (음성인식 시스템에서의 잡음 제거 개선에 관한 연구)

  • 이창윤;이영훈
    • Journal of the Korea Society of Computer and Information
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    • v.7 no.2
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    • pp.73-78
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    • 2002
  • Recognition system of noise processing technique. A method combining SNR normalization with RAS is considered as a noise Processing and the performance of the speech recognition system can be improved using other noise processing technique. Experiment of recognition system is the internal organs that using a general digital signal processor(TMS320C31). Recognition word set is composed of 60 command words for of Rce environment and order of computer. Simulation is considered as a colored noise of general environment. The results of experiment showed that the recognition word set gives 94.61% of efficiency of recognition at maximum in case of the combination of SNR normalization and spectral subtraction.

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A New Arithmetic Unit Over GF(2$^{m}$ ) for Low-Area Elliptic Curve Cryptographic Processor (저 면적 타원곡선 암호프로세서를 위한 GF(2$^{m}$ )상의 새로운 산술 연산기)

  • 김창훈;권순학;홍춘표
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.7A
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    • pp.547-556
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    • 2003
  • This paper proposes a novel arithmetic unit over GF(2$^{m}$ ) for low-area elliptic curve cryptographic processor. The proposed arithmetic unit, which is linear feed back shift register (LFSR) architecture, is designed by using hardware sharing between the binary GCD algorithm and the most significant bit (MSB)-first multiplication scheme, and it can perform both division and multiplication in GF(2$^{m}$ ). In other word, the proposed architecture produce division results at a rate of one per 2m-1 clock cycles in division mode and multiplication results at a rate of one per m clock cycles in multiplication mode. Analysis shows that the computational delay time of the proposed architecture, for division, is less than previously proposed dividers with reduced transistor counts. In addition, since the proposed arithmetic unit does not restrict the choice of irreducible polynomials and has regularity and modularity, it provides a high flexibility and scalability with respect to the field size m. Therefore, the proposed novel architecture can be used for both division and multiplication circuit of elliptic curve cryptographic processor. Specially, it is well suited to low-area applications such as smart cards and hand held devices.