PURPOSES : In a previous study, an error was detected in data pertaining to the direction and velocity of a roller. Hence, in this study, the correlation between these two variables and acceleration data is analyzed. Relevant algorithms are developed by adding variables to existing algorithms.
METHODS : A tachometer and GPS are used to acquire the velocity, compaction direction of rollers, and number of compactions. Subsequently, data input to an accelerometer are compared and analyzed.
RESULTS : Based on FFT analysis, it is discovered that the data are inaccurate when a forward reverse is performed. Using the GPS, the velocity of the roller is differentiated based on the number of pledges, and then added as a variable to the algorithm. Subsequently, it is evaluated and analyzed only with data during forward movement based on changes in the latitude and longitude.
CONCLUSIONS : It is discovered that the acceleration data values from both the left and right rollers differ owing to their weight difference, as indicated by the asphalt gradient. Data changes based on asphalt gradients are analyzed using gyro sensors. If the correlation between the two sets of data is high, then the algorithm is advanced by introducing a cross spectrum after calibrating the acceleration value based on the gradient.

ABSTRACT
1. 서론
2. 측정 장비 제원
    2.1. 가속도계 제원
    2.2. 타코미터 제원
    2.3. GPS 제원
3. 데이터 측정
    3.1. 가속도계 측정
    3.2. 타코미터 측정
    3.3. GPS 측정
4. 현장 데이터 측정
    4.1. 속도 및 가속도 측정
    4.2. FFT 분석
    4.3. 전진 및 후진 가속도 데이터 비교분석
5. 가속도계 설치 위치별 데이터 분석
    5.1. Cross Spectrum
    5.2. Coherence
6. 결론 및 향후계획
REFERENCES

• 김건우(서울과학기술대학교 건설시스템공학과) | Kim Geonwoo (Department of Civil Engineering, Seoul National University of Science and Technology)
• 황성도(한국건설기술연구원) | Hwang Sungdo
• 박병용(서울과학기술대학교 건설시스템공학과) | Park Byeoung yong (Department of Civil Engineering, Seoul National University of Science and Technology)
• 문성호(서울과학기술대학교 건설시스템공학과) | Mun Sungho (Department of Civil Engineering, Seoul National University of Science and Technology) 교신저자