After the opening of the Umyeonsan Tunnel, we aim to establish a noise and vibration measurement analysis system that continuously observes the impact of noise and vibration caused by vehicle traffic through the Seoul Arts Center on the architectural structures of the Design Museum, Opera House, Music Hall, and Calligraphy Museum. We want to identify elements that could affect performances due to noise and vibration from vehicle traffic. Additionally, we plan to record and store the measurement results of noise and vibration caused by vehicle traffic after the tunnel's opening and use this data as analysis material to reduce noise and vibration in the future.

Priority should be considered to encourage businesses to participate by activating the low-noise machine certification system. However, the domestic low-noise machine certification system has not yet been significantly activated. There is a need for a system that only products that meet the environmental sign certification standards for low-noise construction machinery are recognized as "low-noise machines". A compliance evaluation agency (CAB) in the field of low-noise equipment should be introduced in Korea to help facilitate international certification of domestic company products. Therefore, it is believed that it will help expand the supply of low-noise machines through technology development and export improvement.

This study investigated the operation status of major construction machines used in domestic construction sites and analyzed the characteristics of noise generated by these machines. In addition, we tried to understand the impact of construction machine noise on the working environment and the surrounding environment. As a result of the analysis, the noise level of the working breaker was the highest at 101.5 dB(A). This suggests that it can act as a major factor in the spread of noise to the residence around the construction site and the occurrence of civil complaints from residents. Therefore, this study is expected to provide a scientific basis for the noise problem of construction machinery and be used as basic data for effective noise management policies and system improvement.

Recently, among the newly developed cities, there has been a development of new towns around existing chemical manufacturing plants. Accordingly, the aim was to understand the impact of factory noise on the residential areas of the newly developed city. To this end, noise from the factories was measured in accordance with the noise measurement methods recommended by the Ministry of Environment, in order to assess the reality of factory noise sources. Additionally, to understand the impact of factory noise on nearby residential areas, noise maps were created and the noise reduction effects were investigated. The purpose of this study is to establish appropriate low-noise measures to address noise complaints around factories.

According to the results of the environmental noise measurement network operated by the Ministry of Environment in 2009, 67% of residential areas exceeded environmental standards during the day, and 82% exceeded during the night. In the case of exclusive residential areas in general districts, 30 cities (67%) exceeded the standards during the day, and 37 cities(82%) exceeded at night. For residential areas along roads, 18 cities(40%) exceeded during the day, and 33 cities(73%) exceeded at night. The Ministry of Environment operates noise and vibration measurement networks for environmental, railway, and aircraft noise, as well as road vibration measurement networks, to assess the noise and vibration status nationwide each year. In this regard, the results of measuring environmental noise in 348 areas across 45 cities nationwide last year showed that many cities in both general exclusive residential areas and residential areas along roads exceeded environmental standards both during the day(67% for general areas, 40% for road areas) and at night(82% for general areas, 73% for road areas). By region, cities such as Hwaseong, Pyeongtaek, Gimpo, and Cheongju showed high noise levels, while Mokpo, Namyangju, Seongnam, and Naju had lower noise levels. The regions with high noise levels were analyzed to reflect phenomena such as population and traffic increases due to regional development. This study aims to expand the noise measurement network in major cities of Jeollabuk-do, where there are relatively few measurement networks, by conducting an environmental noise survey on road traffic noise in Gunsan and Iksan, using it as basic data for establishing noise regulation zones and for the development of environmental noise reduction measures.

Ride comfort is a key factor in vehicle performance, yet traditional evaluations often rely on subjective methods, leading to inconsistencies. This study presents a deep neural network (DNN)-based model trained on real-world driving data to objectively assess ride comfort. The model’s accuracy is validated using RMS, VDV, and Crest Factor based on ISO 2631. Results show that the DNN effectively captures nonlinear vibration characteristics and offers reliable predictions. This highlights the potential of AI in improving ride comfort assessment.

This study explores structural dynamics using experimental modal analysis with tri-axial accelerometers and advanced signal processing. By improving the accuracy of modal parameters such as natural frequencies and damping ratios, the research enhances vibration analysis techniques. The findings have applications in structural health monitoring, predictive maintenance, and mechanical system optimization.

I would like to suggest a solution to the problem of aircraft battalion helicopter noise complaints. Among the noise evaluation units, the unit that meets the military helicopter noise evaluation is analyzed and selected to scientifically and reasonably resolve the conflict between residents in the neighboring area and the aviation battalion. Helicopter noise is one of the important problems causing pollution in various pollution problems in the area around the aircraft battalion. The rational and planned process of aircraft battalions will be a way to address aircraft noise pollution.

This study uses a frequency analyzer to measure and analyze the major alarm sounds of vehicle selected by domestic car manufacturer and car size, which are continuously improving in accordance with the continuous development of the automobile field. Therefore, the purpose is to find the alarm sound that modern people can hear best and find improvement measures accordingly. In the past, only the driving performance of vehicles was considered important, but as the industry and science developed, research was conducted to satisfy not only the driving performance of vehicles but also the comfort and emotional needs of drivers, such as ride comfort, safety, and noise issues. At the same time, it is progressing actively and continues to develop.

The main problem of airport noise is the impact of aircraft noise on the residents around the airport. In order to investigate the noise situation of a certain airport in South Korea, this article selects Muan Airport as the research project, selects five measurement points near the airport, takes aircraft takeoff as an example, measures the maximum noise level of each measurement point during each take off, and uses the American Airport Noise Prediction Software (AEDT 3C) to predict the noise of a single aircraft during take off, Calculate the contour area and sound exposure level data for four aircraft models. The results indicate that the average maximum noise level error between the measurement results and the simulation results is within 2dB, and the maximum noise level ranges from 65.1 to 88.1 decibels with the measurement range.

The airport is chosen as the measurement airport in this paper to investigate the noise characteristics of piston engine aircraft used for training at Muan airport. Five measurement points near the runway are chosen. The maximum noise values of piston engine aircraft (C172) and SR20 take-off processes are measured. The results show that the average maximum noise values of the five measuring points range from 66.5 dB(A) to 76.7 dB(A), with point C having the greatest noise influence. During take-off, the maximum noise of an SR20 aircraft occurs near 500Hz of low frequency.

In this study, an experimental analysis of noise reduction in road traffic by applying the Micro Grooving technique to concrete highway pavements is explored. Initiated in 1984 to address the aging and damage issues observed in South Korea's concrete highways, Micro Grooving is known for creating fine grooves on the cement pavement surface to increase friction, prevent hydroplaning, and inhibit ice formation, while reducing vehicle friction noise by 3∼5dB(A). It is determined from noise measurement results that the application of the Micro Grooving method can be expected to reduce roadside noise and enhance the safety of drivers' driving experience.

Internal combustion engine is the main source of environmental pollutants and therefore advanced technology is required to reduce harmful elements from the exhaust gases all over the world. Especially, when the exhaust gas is released from the automotive muffler, exhaust noise has many bad influence on the surrounding environment. In order to reduce the exhaust noise, it is necessary that automotive muffler must be designed for best exhaust efficiency. The sound insulation room was installed for the analysis of an acoustics characteristics of the noise from automotive muffler, in this study. Exhaust gas noise, noise distribution characteristics, pressure and temperature of exhaust gas were investigated with the change of annulus temperature of air cooled annulus automotive muffler and cooled annulus automotive muffler. The following results were obtained with this study. From the frequency analysis of automotive muffler, high noise distribution was observed in the range 100~2000Hz. It means that the noise in this range has an dominate influence for the overall noise. Noise reduction of automotive muffler was affected by the temperature of annulus. It is caused the result that the high temperature and pressure of exhaust gas are changed lower by the drop of annulus temperature. The tendencies of noise, the temperature and pressure of exhaust gas are similar to the performance curve of engine. Exhaust gas pressure is determined by the r.p.m. of engine and affected by the cooling performance of automotive muffler.

The noise of large and high-power machines was evaluated and the establishment of mitigation measures was studied. The noise level of large machinery and high-power machinery installed at domestic plant sites was investigated and compared with the noise disclosure regulations to see if they met the standards of the Occupational Safety and Health Act. This investigated the soundproofing design of large and high-power machines and the soundproofing design of complex noise of large machines installed in the plant, and prepared the design standards of the plant design company. In the future, we will compile a database of data to secure standards for research and plant design related to noise reduction, and propose noise improvement and management measures for large and high-power machines.

The tribological properties of TiC, TiN and TiC/TiN coatings on steels prepared by the cathodic-arc (CA) ion plating technique were investigated. Experiments were carried out on a tribo-test machine using a Falex journal V block system. The friction and wear characteristics of the coatings were determined by varying the applied load and sliding speed. The TiC, TiN and TiC/TiN coatings markedly increased the tribological characteristics of the surface. As far as a single layer coating was concerned, TiN goes better results than TiC. However, the TiC/TiN multilayer coating performed better than either single layer coating. The major factor in the improved performance of the multilayer coating was the role of TiC in improving the adhesion between the external TiN layer and the substrate steel.

Metal material production process machinery is becoming larger due to the development of industry. Since there are many overseas manufacturers of large machines used in industrial fields, there are limitations in investigating the manufacturer's noise prediction method and measurement method. A noise map was prepared to obtain information necessary for noise reduction and to effectively manage noise companies. It was modeled with the drawings provided to prepare the noise map and the results of the actual measurement of the site. In order to improve the noise environment of workers, there was a noise reduction effect when a soundproof wall was installed between the noise source and the worker's workplace.