In this study is a study to measure the section by voltage through the high integration of the circuit of the inspection equipment for the power supply circuit of semiconductor equipment. The experiment was conducted by increasing the -1.5∼4 voltage section by 0.5V. At this time, the tolerance was applied to ±0.1%+5mA. Although the voltage increased through the experiment, the accuracy of the measurement data did not change, and it was confirmed through this experiment that the null hypothesis(H0) was adopted in each section through the hypothesis test.

PURPOSES : The purpose of this study is to propose the certification process of International Roughness Index measuring device, i.e., a method for evaluating riding quality on road surfaces. METHODS : ROMDAS was selected as a reference device for verifying the accuracy of the IRI measuring device and the reliability of ROMDAS was checked through leveling in the laboratory and outdoors. To verify four different IRI measuring devices in Korea, the proper field test section was selected and IRI evaluation was conducted. A distance measuring instrument (DMI) - for verifying the accuracy of mileage - and IRI (as an index of roughness) were selected as the main evaluation parameters. For DMI verification, five repeated experiments were conducted for a 1 km section and, for IRI verification, speed variables of 40 km/h, 60 km/h, and 80 km/h were selected. Each device was tested at each speed 10 times. The accuracy of the measurement device was analyzed by comparing the measurement results with the verification criteria. RESULTS : As a result of the comparative experiment between the leveling and ROMDAS devices, the deviation of each measurement point value was within 1 mm and the R2 value was 0.8, demonstrating an excellent correlation. As a result of DMI verification, the tolerance of the three devices was found to be within 0.1 %; however, one device had a tolerance of 0.8 %, indicating that correction was necessary. For IRI evaluation, the average IRI value of the two reference devices was 2.02 m/km and the Minnesota standard was used as an analysis criterion. After the test, only one of the four devices was found to be effective across all speed ranges. Therefore, it was determined that additional sensor calibration is required to improve accuracy. CONCLUSIONS : In this study, the IRI device accuracy was evaluated through field tests. Hence, a new certification process for the IRI test device was proposed via four steps. To improve the accuracy of the IRI measurement, it is necessary to periodically verify the device. If this proposed certification process is applied, the accuracy of the IRI devices can be improved.

The concentrations of volatile organic compounds (VOCs) and odor-inducing substances were measured using selected ion flow tube mass spectrometers (SIFT-MS) and a drone equipped with an air quality monitoring system. SIFT-MS can continuously measure the concentration of VOCs and odor-inducing substances in realtime without any pre-treating steps for the sample. The vehicle with SIFT-MS was used for real-time measurement of VOC concentration at the site boundaries of pollution sources. It is possible to directly analyze VOCs concentration generated at the outlets by capturing air from the pollution sources with a drone. VOCs concentrations of nine spots from Banwol National Industrial Complex were measured by a vehicle equipped with SIFT-MS and were compared with the background concentration measured inside the Metropolitan Air Quality Management Office. In three out of the nine spots, the concentration of toluene, xylene, hydrogen sulfide, and methyl ethyl ketone was shown to be much higher than the background concentration. The VOCs concentrations obtained using drones for high-concentration suspected areas showed similar tendencies as those measured using the vehicle with SIFTMS at the site boundary. We showed that if both the drone and real-time air quality monitoring equipment are used to measure VOCs concentration, it is possible to identify the pollutant sources at the industrial complex quickly and efficiently check sites with high concentrations of VOCs.

In order to increase the production efficiency of the ship and shorten the production cycle, it is important to evaluate the accuracy of the ship components efficiently during the drying cycle. The accuracy control of the block is important for shortening the ship process, reducing the cost, and improving the accuracy of the ship. Some systems have been developed and used mainly in large shipyards, but in some cases, they are measured and managed using conventional measuring instruments such as tape measure and beam, optical instruments as optical equipment, In order to perform accuracy control, these tools and equipment as well as equipment for recording measurement data and paper drawings for measuring the measurement position are inevitably combined. The measured results are managed by the accuracy control system through manual input or recording device. In this case, the measurement result is influenced by the work environment and the skill level of the worker. Also, in the measurement result management side, there are a human error about the lack of the measurement result creation, the lack of the management sheet management, And costs are lost in terms of efficiency due to consumption. The purpose of this study is to improve the working environment in the existing accuracy management process by using the augmented reality technology to visualize the measurement information on the actual block and to obtain the measurement information And a smart management system based on augmented reality that can effectively manage the accuracy management data through interworking with measurement equipment. We confirmed the applicability of the proposed system to the accuracy control through the prototype implementation.

The purpose of this study is to develop correction formulas using the results of measurement by PMS 103, which is a weight method measuring device, and by Dusttrak (TSI, USA), DustMate (Turnkey Instrument Ltd., UK), and LD-5 (SIBATA, Japan), which are light scattering measuring devices. The objective is to evaluate and identify new standards (to develop a proposal) in order to complement the limitations of the existing measurement methods of public transportation vehicle indoor air quality by utilizing the three nephelometer type measuring devices. In the case of non-rush hours, the PMS values were estimated using an estimation regression equation. Statistically, the PMS values that were actually measured were not significantly different (p-value=0.4375, 0.4375, 1.000). With respect to the agreement between the two values, ICC was 0.99 in the case of the estimation regression equation using LD-5 values, 0.97 in the case of the estimation regression equation using Dusttrak values, and 0.84 in the case of the estimation regression equation using DustMate values to allow for the identification of agreement at greater levels. In the case of rush hours, the PMS values were estimated using an estimation regression equation. Statistically, the PMS values that were actually measured were not significantly different (p-value=0.3125, 0.6250, 0.8125). With respect to the agreement between the two values, ICC was 0.92 in the case of the estimation regression equation using LD-5 values, 0.91 in the case of the estimation regression equation using Dusttrak values, and 0.89 in the case of the estimation regression equation using DustMate values to allow for the identification of agreement at greater levels.

We have developed a DH-PROTO equipment to measure the Unit-Water Content of concrete. In this paper, using an accredited certification HI-330 and developed DH-PROTO to measure the Unit-Water Content, it was evaluated by comparing the measurement stability. In experimental results by using a capacitive equipment DH-PROTO and HI-330, Estimation error of DH-PROTO and HI-330 according to the type of binder is -4.4 to 2.0%, -7.4 to 4.0%, measuring equipment for Unit-Water Content in concrete showed excellent performance in reliability assessment measures. Also, the estimation error according to the type of fine aggregate was appeared to 3.4~10.4 % and 2.8~9.1%, was determined that excellent performance and accuracy levels with it. Thus, it expected to be released as a commercial product through further studies.

도로 평탄성을 수치적으로 나타내는 다양한 방법과 지수가 있으며, 현재 고속도로에서는 IRI(International Roughness Index)를 평탄성지수로 사용하고 있다. IRI는 노면의 종방향 요철 변화에 반응하는 표준 Quarter-car의 주행시뮬레이션을 기반으로 개발된 지수이며, 약 1.2~30m 파장영역의 요철에 반응한다. 하지 만 도로 및 차량의 고급화 및 고속화로 인해 주행속도가 높아짐에 따라 30m 이상의 장파장영역도 승차감에 영 향을 미치게 된다. 장파장 영역의 요철을 측정하기 위해서는 레이저 거리계와 가속도계로 구성되는 관성형 측 정기보다 워킹 프로파일 측정기(Walking Profiler)와 같은 경사형 측정기가 유리하다. 하지만 워킹 프로파일 측정기는 낮은 조사속도(2~4km/h)로 인해 공용중인 도로에서 활용하는데 제약이 있다. 이러한 단점을 개선하고자 기존의 고속 프로파일 측정기와 유사한 조사속도(70~80km/h)에서도 약 120m까지의 장파장 영역을 측정할 수 있는 비접촉 고속 노면 장파장 프로파일 측정기를 개발하였다(그림 1). 측정원리는 설정 된 측정지점(순간)의 경사와 이동 거리를 측정하고, 이를 이용하여 매 순간 수직변위 변화량을 산출, 적분 하여 포장면의 종단 형상을 재구성하는 방식이다. 개발된 장비의 성능 테스트를 위해 기존 장파장 영역을 측정할 수 있는 워킹프로파일 측정기 데이터와 비교 검증을 실시하였다. 130m의 시험구간에서 워킹 프로파일 측정기와 고속 장파장 프로파일 측정장비 로 프로파일 데이터를 각각 취득하였다. 비교방법으로는 프로파일 형상 유사성을 분석하는 방법인 교차상 관성 분석(Cross-Correlation Analysis)방법을 적용하였다. 분석 결과 1~120m 파장영역에 대해 개발된 장비에서 측정된 프로파일은 워킹 프로파일 측정기로 측정한 프로파일 형상 대비 평균 96%의 정확성을 나타내었다. 본 개발 조사장비를 활용한다면 승차감에 영향을 미치는 장파장 영역을 신속하게 조사함으로 써 승차감 불량 원인규명을 보다 효율적으로 수행 할 수 있을 것으로 판단된다.

Cooling towers have been widely applied to control the indoor temperature in the residential area and the living space. At operating the cooling towers, motor, fan and dropping water produce noise and vibration, which diffuse through the air or the solid object, polluting the environment. The standards can be used at estimating noise and vibration emission by showing remarkable economic or social benefits. The purpose of this study is to show the vibration and noise measurement and influence evaluation between cooling towers and semiconductor equipment.

This study is reduction to measuring error rate which checked or evaluated of overspeed euipment in the local roadway, national roadway and highway for overspeed driving vehicle. Especially, reliability of overspeed equipment is very important according to speed measurement devices between roof sensing method and radar, etc. So, this study is to measuring method and measuring devices for high reliability.

PURPOSES: The objective of this study is to compare the densities of asphalt pavements measured both in the field and in the laboratory, and also to evaluate the applicability of field density measuring equipment, such as the pavement quality indicator (PQI), by using statistical analysis. METHODS: For the statistical analysis of the density measured from asphalt pavement, student t-tests and a coefficient of correlation are investigated. In order to compare the measured densities, two test sections are prepared, with a base layer and an intermediate layer constructed. Each test section consists of 9 smaller sections. During construction, the field densities are measured for both layers (base and intermediate) in each section. Core samples are extracted from similar regions in each section, and moved to the laboratory for density measurements. All the measured densities from both the field and laboratory observations are analyzed using the selected statistical analysis methods. RESULTS AND CONCLUSION : Based on an analysis of measured densities, analysis using a correlation coefficient is found to be more accurate than analysis using a student t-test. The correlation coefficient (R) between the field density and the core density is found to be very low with a confidence interval less than 0.5. This may be the result of inappropriate calibration of the measuring equipment. Additionally, the correlation coefficient for the base layer is higher than for the intermediate layer. Finally, we observe that prior to using the density measuring equipment in the field, a calibration process should be performed to ensure the reliability of measured field densities..

Cleanroom could be largely classified into industrial cleanroom that can be contaminated by particles and bio-cleanroom that can be contaminated by biological particles. Electrical manufacturing companies producing precision machines and electrical parts essentially have industrial cleanroom facilities and clean technologies to produce defects free products due to particles. Industrial cleanroom should be controlled in respect of 4M1E to prevent from foreign materials of sub-micro unit and to keep out contamination sources from outside. In this paper, a concept for a quantitative methodology to measure the particles from running components was suggested by combining both newly making clean booth such as wear tester and laser particle counter.

PURPOSES : The purpose of this study is development of automatic equipment to measure the road water-reservoir which can be one of factors for road traffic safety inspection and its application to safety analysis. METHODS : The scopes of this study are the examination of the riskiness and location of road water-reservoir through literature review, development of appropriate sensor and automatic equipment to survey the road water-reservoir and evaluation of field application. RESULTS: The laser lighting and IR camera were selected to develop the equipment. It was found from the field calibration that there is a high correlation between rutting and road water-reservoir and road water-reservoir caused by rutting can be correctly calculated. About 20.2km of national highway were inspected for case study and field application. It was found from correlation of traffic incident that 2.08km of the latent length for water-reservoir which is related to 12 traffic incidents were analyzed. CONCLUSIONS : This technique can be utilized evaluation method for road condition such as road water-reservoir for conventional evaluation system such as road traffic safety assessment and safety analysis and it can be use to new evaluation system to apply various road condition and traffic condition.

Cleanroom could be largely classified into industrial cleanroom that can be contaminated by particlesand bio-cleanroom that can be contaminated by biological particles. Electrical manufacturing companies such as precision machines and electrical parts essentially have industrial cleanroom facilities and clean technologies to produce defects free products due to particles.Industrial cleanroom should be controlled in respect of 4M1E to prevent from foreign materials of submicro unit and to keep out contamination sources from outside. In this paper, a concept for a quantitative methodology to measure the particles from running components was suggested by combining both newly making clean booth such as wear tester and laser particle counter.