• 제목/요약/키워드: Data-rate

검색결과 21,788건 처리시간 0.044초

이중 버퍼 제어기 구조의 터보 복호기를 사용한 전송률 가변 비대칭 TDD 시스템 설계 (Design of Variable Data Transfer Rate Asymmetric TDD System Using Turbo Decoder with Double Buffer Controller)

  • 박병관;김미래;김효종
    • 한국항공우주학회지
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    • 제47권2호
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    • pp.161-168
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    • 2019
  • 본 논문에서는 소형 무인기 데이터 링크 시스템에 적용이 가능한 전송률 가변 비대칭 TDD(Time Division Duplex) 방식에 대해 다루었다. 긴 복호 시간이 필요한 터보 복호기를 비대칭 TDD 방식에 적용하기 위하여 이중 버퍼 제어기 구조의 터보 복호기를 제안하였다. 제안 방법은 전송률 가변과 동일 송수신 시간에 최대의 데이터 전송이 가능하다. 제안 방식을 적용한 데이터 링크 시스템을 제작하여 성능을 확인하였다. 측정 결과, 대칭 TDD 방식에 비해 전송률은 최대 약 1.8배 증가하였다. PER(Packet Error Rate) 성능은 동일하며, 전송률 가변이 가능함을 확인하였다.

A study on ways to make employment improve through Big Data analysis of university information public

  • Lim, Heon-Wook;Kim, Sun-Jib
    • International Journal of Advanced Culture Technology
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    • 제9권3호
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    • pp.174-180
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    • 2021
  • The necessity of this study is as follows. A decrease in the number of newborns, an increase in the youth unemployment rate, and a decrease in the employment rate are having a fatal impact on universities. To help increase the employment rate of universities, we intend to utilize Big Data of university public information. Big data refers to the process of collecting and analyzing data, and includes all business processes of finding data, reprocessing information in an easy-to-understand manner, and selling information to people and institutions. Big data technology can be divided into technologies for storing, refining, analyzing, and predicting big data. The purpose of this study is to find the vision and special department of a university with a high employment rate by using big data technology. As a result of the study, big data was collected from 227 universities on www.academyinfo.go.kr site, We selected 130 meaningful universities and selected 25 universities with high employment rates and 25 universities with low employment rates. In conclusion, the university with a high employment rate can first be said to have a student-centered vision and university specialization. The reason is that, for universities with a high employment rate, the vision was to foster talents and specialize, whereas for universities with a low employment rate, regional bases took precedence. Second, universities with a high employment rate have a high interest in specialized departments. This is because, as a result of checking the presence or absence of a characterization plan, universities with a high employment rate were twice as high (21/7). Third, universities with high employment rates promote social needs and characterization. This is because the characteristic departments of universities with high employment rates are in the order of future technology and nursing and health, while universities with low employment rates promoted school-centered specialization in future technology and culture, tourism and art. In summary, universities with high employment rates showed high interest in student-centered vision and development of special departments for social needs.

우리나라 저출산 관련 연구 동향 분석 (Approaches to Studying Low Birth Rate in Korea: A Critical Review)

  • 나유미;김미경
    • 한국생활과학회지
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    • 제19권5호
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    • pp.817-833
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    • 2010
  • This study was dedicated to searching better course of low birth rate study in Korea by carefully analyzing past and present low birth rate researches. For this 179 studies(101 master thesis and 78 journal articles) from 1991 to 2009 were analyzed. Next, using SPSS Win 12.0, the research type, topic, participants, data collection and method of data analysis were compared to the studies' years of publication. The most frequently applied research approach, topic, sampling method, data collection procedure and data analysis method in the research was found to be a literature study, solution and prevention of low birth rate related policy, literature study, literacy analysis. In conclusion, low birth rate studies should become more diversified in terms of types of the research, data collection method, and data analysis. Additionally, research topics should become more realistic and specified. Moreover, research results should be verified before they are applied to the policy.

Visualization and interpretation of cancer data using linked micromap plots

  • Park, Se Jin;Ahn, Jeong Yong
    • Journal of the Korean Data and Information Science Society
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    • 제25권6호
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    • pp.1531-1538
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    • 2014
  • The causes of cancer are diverse, complex, and only partially understood. Many factors including health behaviors, socioeconomic environments and geographical locations can directly damage genes or combine with existing genetic faults within cells to cause cancerous mutations. Collecting the cancer data and reporting the statistics, therefore, are important to help identify health trends and establish normal health changes in geographical areas. In this article, we analyzed cancer data and demon-strated how spatial patterns of the age-standardized rate and health indicators can be examined visually and simultaneously using linked micromap plots. As a result of data analysis, the age-standardized rate has positive correlativity with thyroid and breast cancer, but the rate has negative correlativity with smoking and drinking. In addition, the regions with high age-standardized rate are located in southwest and the areas of high population density while the standardized mortality ratio is higher in southwest and northeast where there are lots of rural areas.

데이터 가중 성능을 갖는 GMDH 알고리즘 및 전력 수요 예측에의 응용 (GMDH Algorithm with Data Weighting Performance and Its Application to Power Demand Forecasting)

  • 신재호;홍연찬
    • 제어로봇시스템학회논문지
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    • 제12권7호
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    • pp.631-636
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    • 2006
  • In this paper, an algorithm of time series function forecasting using GMDH(group method of data handling) algorithm that gives more weight to the recent data is proposed. Traditional methods of GMDH forecasting gives same weights to the old and recent data, but by the point of view that the recent data is more important than the old data to forecast the future, an algorithm that makes the recent data contribute more to training is proposed for more accurate forecasting. The average error rate of electric power demand forecasting by the traditional GMDH algorithm which does not use data weighting algorithm is 0.9862 %, but as the result of applying the data weighting GMDH algorithm proposed in this paper to electric power forecasting demand the average error rate by the algorithm which uses data weighting algorithm and chooses the best data weighting rate is 0.688 %. Accordingly in forecasting the electric power demand by GMDH the proposed method can acquire the reduced error rate of 30.2 % compared to the traditional method.

배경 잡음환경에서 가변 임계값에 의한 Dual Rate ADPCM 음성 부호화 기법 (Coding Method of Variable Threshold Dual Rate ADPCM Speech Considering the Background Noise)

  • 한경호
    • 조명전기설비학회논문지
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    • 제17권6호
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    • pp.154-159
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    • 2003
  • 본 논문에서는 ITU G.726 규격을 만족하는 표준형 ADPCM 부호화 법을 이용하여 배경잡음의 크기에 따라 음성의 부호화율이 두가지로 가변하도록 함으로써, 낮은 데이터 전송률을 가지고도 단일 부호화율의 경우보다 개선된 음질을 갖는 부호화 기법을 제안하였다. 이를 위하여 배경잡음보다 큰 음성신호에 대하여는 데이터의 양이 커지더라도 음질을 향상시키기 위하여 40 [Kbps]로 압축하고, 작은 음성신호에 대하여는 16[Kbps]로 압축하여 데이터의 양을 줄이도록 하여 전체적으로 압축데이터의 양을 줄이면서 음질을 개선하도록 하였다. 입력된 음성신호에 대하여 두가지 압축율을 결정하기 위하여 영교차율(ZCR)을 사용하여 처리속도를 빠르도록 하였다.

Factors Related to Regional Variation in the High-risk Drinking Rate in Korea: Using Quantile Regression

  • Kim, Eun-Su;Nam, Hae-Sung
    • Journal of Preventive Medicine and Public Health
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    • 제54권2호
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    • pp.145-152
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    • 2021
  • Objectives: This study aimed to identify regional differences in the high-risk drinking rate among yearly alcohol users in Korea and to identify relevant regional factors for each quintile using quantile regression. Methods: Data from 227 counties surveyed by the 2017 Korean Community Health Survey (KCHS) were analyzed. The analysis dataset included secondary data extracted from the Korean Statistical Information Service and data from the KCHS. To identify regional factors related to the high-risk drinking rate among yearly alcohol users, quantile regression was conducted by dividing the data into 10%, 30%, 50%, 70%, and 90% quantiles, and multiple linear regression was also performed. Results: The current smoking rate, perceived stress rate, crude divorce rate, and financial independence rate, as well as one's social network, were related to the high-risk drinking rate among yearly alcohol users. The quantile regression revealed that the perceived stress rate was related to all quantiles except for the 90% quantile, and the financial independence rate was related to the 50% to 90% quantiles. The crude divorce rate was related to the high-risk drinking rate among yearly alcohol users in all quantiles. Conclusions: The findings of this study suggest that local health programs for high-risk drinking are needed in areas with high local stress and high crude divorce rates.

Effective Transmission Method for low power RF systems

  • Kim, Jung-Won;Choi, Ung-Se
    • 전기전자학회논문지
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    • 제12권2호
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    • pp.81-86
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    • 2008
  • In wireless communication system using 2.4GHz radio link, data rate varies with time due to interferences, which causes the performance degradation. Therefore, effective transmission methods are required to obtain better performance according to varying data rate. This paper proposes a novel method that increases the data rate, as well as the influence of different loop-filter bandwidths on the performance of the PLL. Experimental results show that the proposed method is effective because it can achieve higher throughput in various data rate.

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Accuracy Verification of Heart Rate and Energy Consumption Tracking Devices to Develop Forest-Based Customized Health Care Service Programs

  • Choi, Jong-Hwan;Kim, Hyeon-Ju
    • 인간식물환경학회지
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    • 제22권2호
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    • pp.219-229
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    • 2019
  • This study was carried out to verify the accuracy of fitness tracking devices in monitoring heart rate and energy consumption and to contribute to the development of a forest exercise program that can recommend the intensity and amount of forest exercises based on personal health-related data and provide monitoring and feedback on forest exercises. Among several commercially available wearable devices, Fitbit was selected for the research, as it provides Open API and data collected by Fitbit can be utilized by third parties to develop programs. Fitbit provides users with various information collected during forest exercises including exercise time and distance, heart rate, energy consumption, as well as the altitude and slope of forests collected by GPS. However, in order to verify the usability of the heart rate and energy consumption data collected by Fitbit in forest, the accuracy of heart rate and energy consumption were verified by comparing the data collected by Fitbit and reference. In this study, 13 middle-aged women were participated, and it was found that the heart rate measured by Fitbit showed a very low error rate and high correlation with that measured by the reference. The energy consumption measured by Fitbit was not significantly different from that measured in the reference, but the error rate was slightly higher. However, there was high correlation between the results measured by Fibit and the reference, therefore, it can be concluded that Fitbit can be utilized in developing actual forest exercise programs.

고속 직렬 디스플레이 인터페이스를 위한 1/4-rate 클록 데이터 복원회로 설계 (Design of 1/4-rate Clock and Date Recovery Circuit for High-speed Serial Display Interface)

  • 정기상;김강직;조성익
    • 전기학회논문지
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    • 제60권2호
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    • pp.455-458
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    • 2011
  • 4:10 deserializer is proposed to recover 1:10 serial data using 1/4-rate clock. And then, 1/4-rate CDR(Clock and Data Recovery) circuit was designed for SERDES of high-speed serial display interface. The reduction of clock frequency using 1/4-rate clocking helps relax the speed limitation when higher data transfer is demanded. This circuit is composed of 1/4-rate sampler, PEL(Phase Error Logic), Majority Voting, Digital Filter, DPC(Digital to Phase Converter) and 4:10 deserializer. The designed CDR has been designed in a standard $0.18{\mu}m$ 1P6M CMOS technology and the recovered data jitter is 14ps in simulation.