• 제목/요약/키워드: frequency data

검색결과 16,474건 처리시간 0.051초

Effect of nano glass cenosphere filler on hybrid composite eigenfrequency responses - An FEM approach and experimental verification

  • Pandey, Harsh Kumar;Hirwani, Chetan Kumar;Sharma, Nitin;Katariya, Pankaj V.;Dewangan, Hukum Chand;Panda, Subrata Kumar
    • Advances in nano research
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    • 제7권6호
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    • pp.419-429
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    • 2019
  • The effect of an increasing percentage of nanofiller (glass cenosphere) with Glass/Epoxy hybrid composite curved panels modeled mathematically using the multiscale concept and subsequent numerical eigenvalues of different geometrical configurations (cylindrical, spherical, elliptical, hyperboloid and flat) predicted in this research article. The numerical model of Glass/Epoxy/Cenosphere is derived using the higher-order polynomial type of kinematic theory in association with isoparametric finite element technique. The multiscale mathematical model utilized for the customized computer code for the evaluation of the frequency data. The numerical model validation and consistency verified with experimental frequency data and convergence test including the experimental elastic properties. The experimental frequencies of the multiscale nano filler-reinforced composite are recorded through the impact hammer frequency test rig including CDAQ-9178 (National Instruments) and LABVIEW virtual programming. Finally, the nano cenosphere filler percentage and different design associated geometrical parameters on the natural frequency data of hybrid composite structural configurations are illustrated through a series of numerical examples.

고속철도차량 윤축부근의 소음과 진동 측정을 통한 주행중 감시의 기초연구 (Running Monitoring by the Noise and Vibration Measurement near the Wheelset of the High-Speed Trains : A Preliminary Research)

  • 이준석;최성훈;박춘수
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2008년도 추계학술대회 논문집
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    • pp.1454-1462
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    • 2008
  • This paper is focused on the analysis of the noise and vibration measured near the wheelset of the high-speed trains using a time-varying frequency transform as a preliminary research of running monitoring. Due to the non-stationary characteristics, it is necessary to examine noise and vibration of the train with time-varying frequency transforms. In this paper, the short-time Fourier transform method is utilized - the stored data is localized by modulating with a window function, and Fourier transform is taken to each localized data. For the examination, the non-stationary noise and vibration of the high-speed train's wheelset are measured by using some microphones and accelerometers, and those signals are stored in a on-board data acquisition system. The non-stationary random signal analyses with the short-time Fourier transform are performed, and the result are classified as follows; auto-spectral density, cross-spectral density, frequency response, and coherence functions. From those functions, it is possible to observe the frequency characteristics of sleepers, switchers, tunnels, and steel bridges. Also, some distinct peaks, which are not dependent upon the train's speed, are identified from the results.

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Effect of fatigue crack propagation on natural frequencies of system in AISI 4140 Steel

  • Bilge, Habibullah;Doruk, Emre;Findik, Fehim;Pakdil, Murat
    • Steel and Composite Structures
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    • 제32권3호
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    • pp.305-312
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    • 2019
  • In this study, we investigated the effect of fatigue crack propagation of the beams which have a vital importance in engineering applications, on the natural frequency of the system. Beams which have a wide range of applications, are used as fundamental structural elements in engineering structures. Therefore, early detection of any damages in these structures is of vital importance for the prevention of possible destructive damages. One of the widely used methods of early detection of damages is the vibration analysis of the structure. Hence, it is of vital importance to detect and monitor any changes in the natural frequencies of the structure. From this standpoint, in this study we experimentally investigated the effect of fatigue crack propagation on beams produced from 4140 steel, of the natural frequency of the beam. A crack was opened on the $8{\times}16{\times}500mm$ beam using a 3 mm long and 0.25 mm wide wire erosion. The beam, then, underwent 3 point bending tests at 10 Hz with a dynamic fatigue device and its natural frequencies were measured in scheduled intervals and any changes taking place on the natural frequencies of the beam were measured. This data allowed us to identify and measure the crack occurring on the beam subjected to dynamic loading, during the propagation phase. This method produced experimental data. The experimental data showed that the natural frequency of the beam decreased with the propagation of the fatigue crack on the beam.

조선왕조실록 분석을 위한 단어 빈도수 기반 빅 데이터 분석 (Word Frequency-Based Big Data Analysis for the Annals of the Joseon Dynasty)

  • 변영일;이충호
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2022년도 춘계학술대회
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    • pp.707-709
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    • 2022
  • 조선왕조실록은 조선왕조가 태조부터 철종까지 이르기까지 472년간의 역사를 편찬한 사서이다. 조선왕조실록은 국보 제 151호로 중요한 기록유산이지만 내용이 방대하여 분석함에 있어 어려움이 따른다. 따라서 조선왕조실록의 모든 내용을 분석하기 보다는 중요한 단어들을 추출하여 분석해야 할 필요가 있다. 본 논문에서는 웹 크롤링을 통하여 조선왕조실록 웹페이지의 본문에서 단어를 추출하고 단어의 빈도수에 따라 정렬한 데이터를 기반으로 번역된 조선왕조실록의 본문을 분석하는 방법을 제안한다. 본 연구는 조선왕조실록의 세종 부분만을 추출하여 단어의 빈도수에 따라 중요도를 분석하였다.

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Applying Artificial Intelligence Based on Fuzzy Logic for Improved Cognitive Wireless Data Transmission: Models and Techniques

  • Ahmad AbdulQadir AlRababah
    • International Journal of Computer Science & Network Security
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    • 제23권12호
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    • pp.13-26
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    • 2023
  • Recently, the development of wireless network technologies has been advancing in several directions: increasing data transmission speed, enhancing user mobility, expanding the range of services offered, improving the utilization of the radio frequency spectrum, and enhancing the intelligence of network and subscriber equipment. In this research, a series of contradictions has emerged in the field of wireless network technologies, with the most acute being the contradiction between the growing demand for wireless communication services (on operational frequencies) and natural limitations of frequency resources, in addition to the contradiction between the expansions of the spectrum of services offered by wireless networks, increased quality requirements, and the use of traditional (outdated) management technologies. One effective method for resolving these contradictions is the application of artificial intelligence elements in wireless telecommunication systems. Thus, the development of technologies for building intelligent (cognitive) radio and cognitive wireless networks is a technological imperative of our time. The functions of artificial intelligence in prospective wireless systems and networks can be implemented in various ways. One of the modern approaches to implementing artificial intelligence functions in cognitive wireless network systems is the application of fuzzy logic and fuzzy processors. In this regard, the work focused on exploring the application of fuzzy logic in prospective cognitive wireless systems is considered relevant.

검색어 빈도 데이터를 반영한 코로나 19 확진자수 예측 딥러닝 모델 (Predicting the Number of Confirmed COVID-19 Cases Using Deep Learning Models with Search Term Frequency Data)

  • 정성욱
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제12권9호
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    • pp.387-398
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    • 2023
  • 코로나 19 유행은 인류 생활 방식과 패턴에 큰 영향을 주었다. 코로나 19는 침 방울(비말)은 물론 공기를 통해서도 감염되기 때문에 가능한 대면 접촉을 피하고 많은 사람이 가까이 모이는 장소는 피할 것을 권고하고 있다. 코로나 19 환자와 접촉했거나 코로나 19 환자가 발생한 장소에 있었던 사람이 코로나 19에 감염되었을 것을 염려한다면 구글에서 코로나 19 증상을 찾아볼 것이라고 충분히 예상해 볼 수 있다. 본 연구에서는 과거 독감 감시와 관리에 중요 역할을 했었던 구글 트렌드(Google Trends)를 다시 소환하고 코로나 19 확진자수 데이터와 결합하여 미래의 코로나 19 확진자수를 예측할 수 있을지 딥러닝 모델(DNN & LSTM)을 사용한 탐색적 데이터 분석을 실시하였다. 특히 이 연구에 사용된 검색어 빈도 데이터는 공개적으로 사용할 수 있으며 사생활 침해의 우려도 없다. 심층 신경망 모델(DNN model)이 적용되었을 때 한국에서 가장 많은 인구가 사는 서울(960만 명)과 두 번째로 인구가 많은 부산(340만 명)에서는 검색어 빈도 데이터를 포함하여 예측했을 때 더 낮은 오류율을 기록했다. 이와 같은 분석 결과는 검색어 빈도 데이터가 일정 규모 이상의 인구수를 가진 도시에서 중요한 역할을 할 수 있다는 것을 보여주는 것이다. 우리는 이와 같은 예측이 더 강력한 예방 조치의 실행이나 해제 같은 정책을 결정하는데 근거 자료로 충분히 사용될 수 있을 것으로 믿는다.

주파수 영역에서의 사전 부호화를 이용한 STF-OFDM 전송 기법 (STF-OFDM Transmission Scheme via Preceding in Frequency Domain)

  • 박상순;김한경;백흥기
    • 한국통신학회논문지
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    • 제29권7C호
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    • pp.954-961
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    • 2004
  • 본 논문에서는 다중 경로 페이딩 환경에서 고속 데이터 전송에 적합한 STF(Space-Time-Frequency) coded OFDM(Orthogonal Frequency Division Multiplexing) 전송 기법을 제안한다. 본 논문에서 제시하는 STF-OFDM 전송 기법은 적은 연산량으로 주파수 다이버시티 이득을 얻을 수 있는 간단한 전송 기법이다. 주파수 영역에서의 사전부호화를 통해 주파수 다이버시티 이득을 획득하여 기존의 ST-OFDM 전송 기법의 성능을 향상시킬 수 있다. 본 논문에서 제시하는 사전 부호화는 적은 연산량으로 부호화와 복호화가 가능한 간단한 사전 부호화 기법이다.

Measurement and Simulation of Wide-area Frequency in US Eastern Interconnected Power System

  • Kook, Kyung Soo;Liu, Yilu
    • Journal of Electrical Engineering and Technology
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    • 제8권3호
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    • pp.472-477
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    • 2013
  • An internet-based, real-time GPS synchronized wide-area power system frequency monitoring network(FNET) has been monitoring wide-area power system frequency in continuous time in the United States. This paper analyzes the FNET measurement to the verified disturbances in the US eastern interconnected power system and simulates it using the dynamic system model. By comparing the frequency measurements with its simulation results to the same disturbances in detail, this paper finds that the sequence of monitoring points to detect the frequency fluctuation caused by the disturbances is matched well in the measured data and the simulation results. The similarity comparison index is also proposed to quantify the similarity of the compared cases. The dynamic model based simulation result is expected to compensate for the lack of FNET measurement in its applications.

우리말 어휘빈도 정보와 분절음 탈락의 관련성에 대한 연구 (Correlation between the frequency of word and the deletion of segment)

  • 차재은
    • 대한음성학회지:말소리
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    • 제47호
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    • pp.1-13
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    • 2003
  • The purpose of this paper is to research the correlation between frequency and the deletion of /w, (equation omitted)/ in Korean. For this purpose, I select 11 words from the frequency data, then, analyze the speech of 20 speakers of standard Korean. As a result, I can find that there is correlation between the frequency and the deletion rate of segment. The rate of deletion is higher in high frequency words, while the rate of realization is higher in low frequency words. Although there is correlation between the frequency and the deletion rate of segment, the feature of segment, prosodic environments are more important in segment deletion.

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약 신호 환경의 AGPS를 위한 잔여주파수 추정기의 주파수 영역 성능 분석 (Performance Analysis of a Residual Frequency Estimator for Weak AGPS Signals in Frequency Domain)

  • 박지희;임현자;송승헌;성태경
    • 제어로봇시스템학회논문지
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    • 제16권7호
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    • pp.720-725
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    • 2010
  • In AGPS method, user position can be obtained even in the shadow region by improving signal sensitivity. A hybrid long integration scheme employing both coherent and non-coherent integration method is commonly used in AGPS receivers. Because coherent loss increases as residual frequency become large, residual frequency should be minimized to maximize coherent integration gain. This paper presents performance analysis of residual frequency estimator using FFT in fine-time assistance AGPS method. Considering the hardware complexity and the estimation accuracy, optimal length of FFT is proposed for GPS L1 C/A signal. Signal sensitivity for estimating the residual frequency is also analysed. By field experimental results, it is found that the residual frequency can be successfully estimated using 1 second snap-shot data when GPS signal strength is larger than -150 dBm and its RMS error is 3Hz.