• 제목/요약/키워드: GF Network

검색결과 30건 처리시간 0.025초

위성 DMB GF Network의 설계 기초에 관한 연구 (A study on the Base of Design of GF Network for Satellite DMB)

  • 노순국
    • 한국정보통신학회논문지
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    • 제12권1호
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    • pp.183-188
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    • 2008
  • 위성 DMB는 비가시거리 지역인 위성신호의 전파음영지역이 존재하고, 이러한 지역에 서비스를 제공하기 위해 Gap Filler(GF)를 사용한다. GF는 중계기로써 위성 DMB System은 단말기의 이동수신을 보장하기 위해 GF Network을 반드시 구축해야 하며 GF의 커버리지는 Cell or Sector를 형성하게 되어 다수의 GF가 인접하여 설치되면 간섭 등의 문제가 발생할 수 있다. 그러므로, 본 논문에서는 위성 DMB 시스템과 GF에 대해 살펴보고, 이러한 문제를 경감할 수 있는 GF Network의 설계 기초 방안에 관해 검토하였다. 그 결과, GF와 단말기간의 거리가 4.6Km을 벗어나면 상호 간섭으로 작용하여 품질열화가 발생하여 서비스 제공이 어려워짐을 확인하였다.

A study of glass and carbon fibers in FRAC utilizing machine learning approach

  • Ankita Upadhya;M. S. Thakur;Nitisha Sharma;Fadi H. Almohammed;Parveen Sihag
    • Advances in materials Research
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    • 제13권1호
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    • pp.63-86
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    • 2024
  • Asphalt concrete (AC), is a mixture of bitumen and aggregates, which is very sensitive in the design of flexible pavement. In this study, the Marshall stability of the glass and carbon fiber bituminous concrete was predicted by using Artificial Neural Network (ANN), Support Vector Machine (SVM), Random Forest (RF), and M5P Tree machine learning algorithms. To predict the Marshall stability, nine inputs parameters i.e., Bitumen, Glass and Carbon fibers mixed in 100:0, 75:25, 50:50, 25:75, 0:100 percentage (designated as 100GF:0CF, 75GF:25CF, 50GF:50 CF, 25GF:75CF, 0GF:100CF), Bitumen grade (VG), Fiber length (FL), and Fiber diameter (FD) were utilized from the experimental and literary data. Seven statistical indices i.e., coefficient of correlation (CC), mean absolute error (MAE), root mean squared error (RMSE), relative absolute error (RAE), root relative squared error (RRSE), Scattering index (SI), and BIAS were applied to assess the effectiveness of the developed models. According to the performance evaluation results, Artificial neural network (ANN) was outperforming among other models with CC values as 0.9147 and 0.8648, MAE values as 1.3757 and 1.978, RMSE values as 1.843 and 2.6951, RAE values as 39.88 and 49.31, RRSE values as 40.62 and 50.50, SI values as 0.1379 and 0.2027 and BIAS value as -0.1 290 and -0.2357 in training and testing stage respectively. The Taylor diagram (testing stage) also confirmed that the ANN-based model outperforms the other models. Results of sensitivity analysis showed that the fiber length is the most influential in all nine input parameters whereas the fiber combination of 25GF:75CF was the most effective among all the fiber mixes in Marshall stability.

랜덤 선형 네트워크 코딩의 실용적 설계 및 성능 분석 (Practical Implementation and Performance Evaluation of Random Linear Network Coding)

  • 이규진;신연철;구종회;최성현
    • 한국통신학회논문지
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    • 제40권9호
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    • pp.1786-1792
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    • 2015
  • 랜덤 선형 네트워크 코딩(Random Linear Network Coding, RLNC)은 멀티캐스트의 신뢰성을 높이는 방법으로 널리 사용되고 있다. RLNC 구현에 있어서 효율적인 연산을 위해 Galois Field (GF)를 사용한다. 상용 컴퓨터에서의 연산을 고려하였을 때 GF($2^m$)의 크기 m이 32보다 작을 경우, 곱셈과 나눗셈에 대해 사전에 계산된 table을 사용하면 모든 사칙 연산이 m에 관계없이 상수 복잡도를 가진다. 이로부터 RLNC의 연산 복잡도는 m에 반비례하는 것을 보인다. 추가적으로, m이 커짐에 따라 발생하는 헤더 길이 증가, 메모리 사용량 증가 등의 추가적인 오버헤드를 고려하여 실용적인 GF의 크기를 선택한다. 이를 바탕으로 상용 컴퓨터에 RLNC를 구현하고 곱셈/나눗셈 연산 시에 사용되는 table의 종류와 한 번에 인코딩 되는 원본 패킷의 개수에 따른 성능을 실측한다.

High Throughput Multiplier Architecture for Elliptic Cryptographic Applications

  • Swetha, Gutti Naga;Sandi, Anuradha M.
    • International Journal of Computer Science & Network Security
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    • 제22권9호
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    • pp.414-426
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    • 2022
  • Elliptic Curve Cryptography (ECC) is one of the finest cryptographic technique of recent time due to its lower key length and satisfactory performance with different hardware structures. In this paper, a High Throughput Multiplier architecture is introduced for Elliptic Cryptographic applications based on concurrent computations. With the aid of the concurrent computing approach, the High Throughput Concurrent Computation (HTCC) technology that was just presented improves the processing speed as well as the overall efficiency of the point-multiplier architecture. Here, first and second distinct group operation of point multiplier are combined together and synthesised concurrently. The synthesis of proposed HTCC technique is performed in Xilinx Virtex - 5 and Xilinx Virtex - 7 of Field-programmable gate array (FPGA) family. In terms of slices, flip flops, time delay, maximum frequency, and efficiency, the advantages of the proposed HTCC point multiplier architecture are outlined, and a comparison of these advantages with those of existing state-of-the-art point multiplier approaches is provided over GF(2163), GF(2233) and GF(2283). The efficiency using proposed HTCC technique is enhanced by 30.22% and 75.31% for Xilinx Virtex-5 and by 25.13% and 47.75% for Xilinx Virtex-7 in comparison according to the LC design as well as the LL design, in their respective fashions. The experimental results for Virtex - 5 and Virtex - 7 over GF(2233) and GF(2283)are also very satisfactory.

초고속 전력선 통신을 위한 오류정정 부호화기 설계 (Design of Error Correction Encoder for High-Speed PLC Systems)

  • 최성수;박해수;이재조;이원태;김관호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 하계학술대회 논문집 D
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    • pp.2702-2704
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    • 2003
  • 본 논문은 전력선통신시스템 (Power Line Communications)을 위한 초고속 오류정정 부호화기 회로에 관한 설계방법론과 회로의 동작속도, 회로복잡성과 레이턴시에 직접적으로 기여하는 핵심 GF (Galois Field) 연산기들의 역할 및 이들의 설계결과에 관해 설명한다. 특히, 이러한 설계방법에 충실한 오류정정 부호화기회로는 입출력 병렬구조의 세미-시스톨릭 (Semi-systolic) 아키텍처를 갖는 고속의 내부 핵심 GF 연산기회로들을 채택함으로써 고속 연산을 가능토록 한다. 최적화된 GF곱셈연산기를 기반으로 설계되어진 리드-솔로몬 (Reed-Solomon) 오류정정 부호화기는 전력선 채널상에서 데이터를 전송 시 발생되는 연집오류들을 효과적으로 복원하도록 하는 대표적인 부호화기로 이미 존재하는 다른 회로들에 비해 동작속도, 회로의 복잡성, 및 레이턴시 측면에서 그 성능이 월등히 뛰어나므로, 실제 초고속 전력선 통신시스템의 설계 및 구현 시 효과적으로 이용될 수 있다.

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뇌경색 전임상 연구 후보 약재 선정을 위한 네트워크 약리학 분석법의 활용과 치자(梔子)의 적용 가능성 검토 (Network pharmacological analysis for identifying herbal medicine candidate for cerebral infarction focusing on Gardeniae Fructus)

  • 정주현;박희준;임세현;조수인
    • 대한한의학방제학회지
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    • 제31권3호
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    • pp.145-156
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    • 2023
  • Objectives : This study aimed to select candidate herbal medicines to be used in preclinical studies of cerebral infarction using the network pharmacology research method. Methods : Oral bioavailability (OB), drug likeness (DL), Caco-2, and blood-brain barrier (BBB) permeability were employed in this study's network pharmacology analysis method to choose compounds with potential efficacy. The following formulas were utilized for the values of each variable used in this study: OB ≥ 20%, DL ≥ 0.18, Caco-2 ≥ 0, and BBB ≥ -0.3. The relationships between target proteins and diseases that are assumed to be involved in the chosen bioavailable chemicals were built in a network manner using the aforementioned factors, and proteins thought to play a significant role were identified. Results : Sudan III was obtained as a result of selecting compounds related to ischemic stroke in consideration of pharmacokinetic characteristics such as digestion and absorption and practicality using the TCMSP database. Medicinal herbs Gardeniae Fructus (GF) contains sudan III, and it was confirmed that compounds in GF were highly related to brain diseases, and the mechanism involved through the KEGG pathway was confirmed. GF, which has sudan III related to ischemic stroke and is also involved in other neurological diseases, is expected to be used for ischemic stroke treatment. Conclusions : GF has been predicted to have potential for ischemic stroke treatment, and can be used for future preclinical studies.

타원곡선 암호 시스템의 고속 구현을 위한 VLSI 구조 (VLSI Architecture for High Speed Implementation of Elliptic Curve Cryptographic Systems)

  • 김창훈
    • 정보처리학회논문지C
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    • 제15C권2호
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    • pp.133-140
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    • 2008
  • 본 논문에서는 $GF(2^{163})$타원곡선 암호 프로세서를 제안한다. 제안한 암호 프로세서는 타원곡선 정수 곱셈을 위해 수정된 Loez-Dahab Montgomery 알고리즘을 채택하고, $GF(2^{163})$상의 산술 연산을 위해 가우시안 정규 기저(Gaussian Normal Basis: GNB)를 이용한다. 높은 처리율을 위해 Lopez-Dahab 방식에 기반한 규칙적인 주소화 방식의 병렬 타원곡선 좌표 덧셈 및 배 연산 알고리즘을 유도하고 $GF(2^{163})$상의 연산을 수행하는 두 개의 워드-레벨 산술 연산기(Arithmetic Unit: AU)를 설계한다. 제안된 타원곡선 암호 프로세서는 Xilinx사의 XC4VLX80 FPGA 디바이스에 구현되었으며, 24,263개의 슬라이스를 사용하고 최대 동작주파수는 143MHz이다. 제안된 구조를 Shu 등의 하드웨어 구현과 비교했을 때 하드웨어 복잡도는 약 2배 증가 하였지만 4.8배의 속도 향상을 보인다. 따라서 제안된 타원곡선 암호 프로세서는 네트워크 프로세서와 웹 서버등과 같은 높은 처리율을 요구하는 타원곡선 암호시스템에 적합하다.

Combined effect of glass and carbon fiber in asphalt concrete mix using computing techniques

  • Upadhya, Ankita;Thakur, M.S.;Sharma, Nitisha;Almohammed, Fadi H.;Sihag, Parveen
    • Advances in Computational Design
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    • 제7권3호
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    • pp.253-279
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    • 2022
  • This study investigated and predicted the Marshall stability of glass-fiber asphalt mix, carbon-fiber asphalt mix and glass-carbon-fiber asphalt (hybrid) mix by using machine learning techniques such as Artificial Neural Network (ANN), Support Vector Machine (SVM) and Random Forest(RF), The data was obtained from the experiments and the research articles. Assessment of results indicated that performance of the Artificial Neural Network (ANN) based model outperformed applied models in training and testing datasets with values of indices as; coefficient of correlation (CC) 0.8492 and 0.8234, mean absolute error (MAE) 2.0999 and 2.5408, root mean squared error (RMSE) 2.8541 and 3.3165, relative absolute error (RAE) 48.16% and 54.05%, relative squared error (RRSE) 53.14% and 57.39%, Willmott's index (WI) 0.7490 and 0.7011, Scattering index (SI) 0.4134 and 0.3702 and BIAS 0.3020 and 0.4300 for both training and testing stages respectively. The Taylor diagram also confirms that the ANN-based model outperforms the other models. Results of sensitivity analysis show that Carbon fiber has a major influence in predicting the Marshall stability. However, the carbon fiber (CF) followed by glass-carbon fiber (50GF:50CF) and the optimal combination CF + (50GF:50CF) are found to be most sensitive in predicting the Marshall stability of fibrous asphalt concrete.

신경회로망을 이용한 가공조건에 따른 원형가공 표면거칠리 평가 (Evaluation of Circle Machining Surface Roughness on the Process Conditions using Neural Network)

  • 성백섭;김일수;차용훈
    • 한국안전학회지
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    • 제17권1호
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    • pp.11-17
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    • 2002
  • The purpose of this study was to present the method to choose the optimization machining condition for the wire electric machine. This was completed by examining the ever-changing quality of the material and by improving the function of the wire electric discharge machine. Precision metal mold products and the unmanned wire electric discharge machining system were used and then applied in industrial fields. This experiment uses the wire electric discharge machine with brass wire electrode of 0.25mm. To measure the precision of the machining surface, average values are obtained from 3 samples of measures of center-line average roughness by using a third dimension gauge and a stylus surface roughness gauge. In this experiment, we changed no-node voltage to 7 and 9, pulse-on-time to $6{\mu}s,\;8{\mu}s$ and $10{\mu}s$, pulse-off-time to $8{\mu}s,\;10{\mu}s$ and $13{\mu}s$, and experimented on wire tension at room temperature by 1000gf, 1200gf, and 1400gf, respectively.

High Noise Density Median Filter Method for Denoising Cancer Images Using Image Processing Techniques

  • Priyadharsini.M, Suriya;Sathiaseelan, J.G.R
    • International Journal of Computer Science & Network Security
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    • 제22권11호
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    • pp.308-318
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    • 2022
  • Noise is a serious issue. While sending images via electronic communication, Impulse noise, which is created by unsteady voltage, is one of the most common noises in digital communication. During the acquisition process, pictures were collected. It is possible to obtain accurate diagnosis images by removing these noises without affecting the edges and tiny features. The New Average High Noise Density Median Filter. (HNDMF) was proposed in this paper, and it operates in two steps for each pixel. Filter can decide whether the test pixels is degraded by SPN. In the first stage, a detector identifies corrupted pixels, in the second stage, an algorithm replaced by noise free processed pixel, the New average suggested Filter produced for this window. The paper examines the performance of Gaussian Filter (GF), Adaptive Median Filter (AMF), and PHDNF. In this paper the comparison of known image denoising is discussed and a new decision based weighted median filter used to remove impulse noise. Using Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), and Structure Similarity Index Method (SSIM) metrics, the paper examines the performance of Gaussian Filter (GF), Adaptive Median Filter (AMF), and PHDNF. A detailed simulation process is performed to ensure the betterment of the presented model on the Mini-MIAS dataset. The obtained experimental values stated that the HNDMF model has reached to a better performance with the maximum picture quality. images affected by various amounts of pretend salt and paper noise, as well as speckle noise, are calculated and provided as experimental results. According to quality metrics, the HNDMF Method produces a superior result than the existing filter method. Accurately detect and replace salt and pepper noise pixel values with mean and median value in images. The proposed method is to improve the median filter with a significant change.