• 한국소음진동공학회논문집
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• 제13권11호
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• pp.890-896
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• 2003

It is said that the goal of the design of good acoustical environment is at first the reduction of undesirable sounds. and in addition the introduction of desirable sounds by which our minds are soothed. The task of creating the desirable sounds leads to the realization of a comfortable acoustic environment and the design of soundscape. It may be an important starting point of soundscape design to select suitable sounds for the target spaces. because each space has a different surrounding condition and requires a special ambient sound. This paper aims to survey preference of the environmental sounds suitable for the public spaces in urban areas such as parks. bus terminals. 35 kinds of natural sounds are. rated by 26 pairs of adjectives. The results of psycho-acoustic experiments are as follows. 1. The proper adjectives for expressing the environmental sounds are classified into 6 groups of comfort, pleasure, fullness. variety, distinctness. and naturalness. 2. Bird singing. murmuring of a stream, artificial sounds. singing of insects and animals are the affirmative rank of preference. 3. Green musics consisted of music and natural sounds are preferred to the pure natural sounds. 4. Sound level relative to background noise causes various preferences to natural sounds in public spaces.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 춘계학술대회논문집
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• pp.1010-1013
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• 2003

It is said that the goal of the design of good acoustical environment is at first the reduction of undesirable sounds, and in addition the introduction of desirable sounds by which our minds are soothed. The task of creating the desirable sounds leads to the realization of a comfortable acoustic environment and the design of soundscape. It may be an important starting point of soundscape design to select suitable sounds for the target spaces, because each space has a different surrounding condition and requires a special ambient sound. This paper aims to survey preference of the environmental sounds suitable for the public spaces in urban areas such as parks, bus terminals. 35 kinds of natural sounds are rated by 26 pairs of adjectives. The results of psycho-acoustic experiments are as follows. 1. The proper adjectives for expressing the environmental sounds are classified into 6 groups of comfort, pleasure, fullness, variety, distinctness, naturalness. 2. Bird singing, murmuring of a stream, artificial sounds, singing of insects and animals are the affirmative order of preference. 3. Green musics consisted of music and natural sounds are preferred to the pure natural sounds. 4. Sound level relative to background noise causes various preferences to natural sounds in public spaces.

• 한국음향학회지
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• 제37권6호
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• pp.469-474
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• 2018

도시 유동인구가 증가함에 따라 도시 환경 소음에 관한 연구의 중요성이 증가하고 있다. 본 연구에서는 교통상황에서 발생하는 이상 소음을 최근 환경 소음 분류 연구에서 높은 성능을 보이는 딥러닝 알고리즘을 이용하여 분류한다. 구체적으로는 타이어 제동 마찰음, 자동차 충돌음, 자동차 경적음, 정상 소음 네 개의 클래스에 대하여 합성곱 신경망을 이용하여 분류한다. 또한, 실제 교통 상황에서의 환경잡음에 강인한 분류 성능을 갖기 위해 빗소리, 바람 소리, 군중 소리의 세 가지 환경잡음을 설정하였고 이를 활용하여 분류 모델을 설계하였으며 3 dB SNR(Signal to Noise Ratio) 조건에서 88 % 이상의 분류 성능을 가진다. 제시한 교통 소음에 대하여 기존 선행연구 대비 높은 분류 성능을 보이고, 빗소리, 바람 소리, 군중 소리의 세 가지 환경잡음에 강인한 교통 소음 분류 모델을 제안한다.

• 한국음향학회지
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• 제39권3호
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• pp.143-149
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• 2020

본 논문에서는 딥러닝(deep learning)을 이용하여 환경음 분류 시 전처리 단계에서 사용하는 특징 추출 방법이 콘볼루션 신경망의 분류 성능에 미치는 영향에 대해서 다루었다. 이를 위해 환경음 분류 연구에서 많이 사용되는 UrbanSound8K 데이터셋에서 멜 스펙트로그램(mel spectrogram), 로그 멜 스펙트로그램(log mel spectrogram), Mel Frequency Cepstral Coefficient(MFCC), 그리고 delta MFCC를 추출하고 각각을 3가지 분포로 스케일링하였다. 이 데이터를 이용하여 4 종의 콘볼루션 신경망과 이미지넷에서 좋은 성능을 보였던 VGG16과 MobileNetV2 신경망을 학습시킨 다음 오디오 특징과 스케일링 방법에 따른 인식률을 구하였다. 그 결과 인식률은 스케일링하지 않은 로그 멜 스펙트럼을 사용했을 때 가장 우수한 것으로 나타났다. 도출된 결과를 모든 오디오 인식 문제로 일반화하기는 힘들지만, Urbansound8K의 환경음이 포함된 오디오를 분류할 때는 유용하게 적용될 수 있을 것이다.

• 한국건설순환자원학회논문집
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• 제11권4호
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• pp.501-508
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• 2023

이 연구는 도시화와 교통량 증가로 인해 심화되는 환경 소음 문제에 대응하여, 친환경적인 무기계 흡음 패널을 개발함으로써 기존의 PMMA 및 시멘트 기반 패널의 한계를 극복하고자 한다. 이러한 전통적인 패널들은 가연성으로 인한 안전 위험과 탄소 배출로 인한 환경 문제를 가지고 있다. 산업폐기물을 활용한 이 연구는 두 단계로 구성된다: 첫째, 물리적 및 성능적 특성(유동성, 밀도, 압축 강도, 흡음률)에 대한 기초 시험, 둘째, 최적화된 패널 혼합물의 개발. 이 접근 방식은 기존 패널을 지속 가능하고 효과적인 대안으로 대체하고자 하며, 안전하고 환경적으로 책임 있는 도시 인프라에 중요한 기여를 목표로 한다. 연구 결과는 방음 패널 시장에 대한 새로운 해결책을 제시하며, 소음 제어와 함께 환경 및 안전 기준에 부합하는 혁신을 추구한다.

• 한국환경과학회지
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• 제21권9호
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• pp.1053-1058
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• 2012

In this study, soundscape was analyzed through physical measurement and social surveys. The results showed that, soundscape components were related to functional partitions and tourist activities, at the same time influenced by ambient noise. The sound pressure levels showed daily regular changes. Semantic differential analysis showed that the evaluation of the soundscape in urban park was rather complicated. It was still possible to identify major factors including relaxation, spatiality and environment. The results provided theoretical basis for improving urban park soundscape, and called attention to this problem.

• 환경영향평가
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• 제19권4호
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• pp.381-396
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• 2010

It is essential to consider strategies, spatial planning, and reflection of sustainability for the creation of sound urban spaces. To this end, there is a need for plans that can secure better sustainability through strategic environmental assessment (SEA) of plans. This study examined the literature and available precedent to develop a SEA model for administrative plans for urban development including metropolitan plans, urban master plans and urban management plans. In the course of development of the model, environmental issues associated with the urban plans were analyzed by classifying them into ten categories, including "spatial planning," "conservation planning," "greenbelt systems," "habitats." and etc. according to their rank. Furthermore, those issues were reflected on the development of environmental evaluation indices for the plans. Overall and detailed environmental indices that can be applied to the administrative plans for urban development including metropolitan plans, urban master plans and urban management plans were devised for five stages: (1) Establishment of development goals and strategy, (2) Analysis of current status and characteristics, (3) Conceptualization of spatial structure, (4) Planning for each department, and (5) Execution and management. Sub plans are more detailed and concrete. Criteria based on the evaluation indices, when performing evaluations on plans based on each environmental assessment index in reference to experts and the literature, were used to forecast their effects, i.e. whether they had a positive, negative, or no effect or relationship, or whether their effects was uncertain. Based on the forecasts, this study then presents means to establish more improvable plans. Furthermore, by synthesis of the effects according to each index and integration of the process, plans were analyzed overall. This study reflects the characteristics of the present time period based on issues in the SEA process and techniques in upper level administrative plans being newly established, and presents them according to the stage of each plan. Furthermore, by forecasting the effect of plans by stage, this study presents proposals for improvement, and in this aspect, can be meaningful in promoting plan improvements through SEA.

• KIEAE Journal
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• 제4권1호
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• pp.33-38
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• 2004

There are many attempts to make more comfortable amenity in city districts and streets to provide a soundscape design. And the sound which reflects the culture and peculiarity of characterized the street must be preserved. Thus these attempts are recognized as another noise control to give the suitable environmental sound, not to reduce noise level. This study aims to analyze the behavior of the pedestrian and sound environment of the street sound, by measuring the sound level for the Insa-Dong Traditional Culture street. As the results, it is advisable to use the natural water sound dominating the district and to provide the staying spot to watch the event to be held. The results of this study could be used as fundamental data to recover the image of Insa-Dong Traditional Culture street to consider design concept of soundscape.

• 한국조경학회지
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• 제35권2호통권121호
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• pp.64-70
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• 2007

The main purposes of this paper are to determine the major factors influencing visual preference in soundproofing barriers in urban places and to provide the essential information needed in the design process of soundproofing harriers. This paper consists of two phases. The first phase presents photos of the seven types of soundproofing barriers generally seen around the Daejeon area, which were taken from three places for a photo montage. The evaluation of 21 different soundproofing barriers was conducted by college students. The second phase of this paper depicts the analysis process. Firstly, the visual preferences as found from the collected data were evaluated by five semantic degrees. The evaluated data were processed by descriptive test, a correlation test and ANOVA test methods using an SPSS statistical package. 1. Currently, visual preference in soundproofing barriers is low in urban places. Therefore, it is necessary to design visually pleasing soundproofing barriers to improve the visual qualify of urban areas. 2. Soundproofing barriers of mixed wood and acrylic scored the highest among selections while those with aluminium steel scored the lowest. 3. Environmental friendly and transparent conditions should be met to allow soundproofing barriers to be visually pleasing.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권8호
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• pp.3384-3398
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• 2020

In recent years, as the environment has become an important issue in dealing with food, energy, and urban development, diverse environment-related applications such as environmental monitoring and ecosystem management have emerged. In such applications, automatic classification of animals using video or sound is very useful in terms of cost and convenience. So far, many works have been done for animal sounds classification using artificial intelligence techniques such as a convolutional neural network. However, most of them have dealt only with the sound of a specific class of animals such as bird sounds or insect sounds. Due to this, they are not suitable for classifying various types of animal sounds. In this paper, we propose a sound classification scheme based on a multi-feature network for classifying sounds of multiple species of animals. To do that, we first collected multiple animal sound datasets and grouped them into classes. Then, we extracted their audio features by generating mixed records and used those features for training. To evaluate the effectiveness of our scheme, we constructed an animal sound classification model and performed various experiments. We report some of the results.