• Title/Summary/Keyword: Virtual engine sound

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A Study on the Design of Virtual Engine Sound of Eco-Friendly Vehicle

  • Jee, Sanghwi;Park, Hyungwoo;Bae, Myung-Jin
    • International Journal of Internet, Broadcasting and Communication
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    • v.9 no.2
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    • pp.37-41
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    • 2017
  • In the development of means of transportation, human beings who walk, ride or ride carriages are now enjoying the benefits of many means of transportation, including bicycles, airplanes, trains, buses, and cars. In the case of automobiles among various means of transportation, there is an advantage that an individual can conveniently move while possessing it. To solve air polution problems at the same time, eco-friendly automobiles such as low-noise, low-pollution, and high-efficiency automobiles have emerged. However, in the case of eco-friendly vehicleJ, engine noise at low speeds is a noise that is unlike existing vehicles and poses a threat to the safety of pedestrians. In this study, virtual engine system has been developed to prevent engine accidents caused by low- The pedestrians are aware of the fact that the vehicle is approaching.

The study of sound source synthesis IC to realize the virtual engine sound of a car powered by electricity without an engine (엔진 없이 전기로 구동되는 자동차의 가상 엔진 음 구현을 위한 음원합성 IC에 관한 연구)

  • Koo, Jae-Eul;Hong, Jae-Gyu;Song, Young-Woog;Lee, Gi-Chang
    • The Journal of the Acoustical Society of Korea
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    • v.40 no.6
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    • pp.571-577
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    • 2021
  • This study is a study on System On Chip (SOC) that implements virtual engine sound in electric vehicles without engines, and realizes vivid engine sound by combining Adaptive Difference PCM (ADPCM) method and frequency modulation method for satisfaction of driver's needs and safety of pedestrians. In addition, by proposing an electronic sound synthesis algorithm applying Musical Instrument Didital Interface (MIDI), an engine sound synthesis method and a constitutive model of an engine sound generation system are presented. In order to satisfy both drivers and pedestrians, this study uses Controller Area Network (CAN) communication to receive information such as Revolution Per Minute (RPM), vehicle speed, accelerator pedal depressed amount, torque, etc., transmitted according to the driver's driving habits, and then modulates the frequency according to the appropriate preset parameters We implemented an interaction algorithm that accurately reflects the intention of the system and driver by using interpolation for the system, ADPCM algorithm for reducing the amount of information, and MIDI format information for making engine sound easier.

A Study on Virtual Engine Sound Design Considering Pedestrian Auditory Characteristics (보행자 청각 특성을 고려한 가상엔진음 설계에 관한 연구)

  • Jee, Sang-Hwi;Park, Hyung-Woo;Bae, Myung-Jin
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2017.01a
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    • pp.267-268
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    • 2017
  • 인류는 이동수단의 발전으로 많은 편리함을 누리고 있다. 그러나 발전하는 만큼 대기오염의 문제도 증가하고 있다. 이를 해결하기위해 친환경 자동차가 대안으로 떠오르고 있으나, 저속주행시의 엔진음이 미세하여 좁은길이나 골목길 에서의 보행자 교통사고가 증가하고 있다. 이를 해결하기위해 VESS가 개발되었다. 본 논문에서는 보행자 청각 특성을 고려한 가상 엔진음 설계를 제안하였다. 본 연구를 통하여 보행자 사고 예방 및 생명과 재산보호에 도움이 되길 바란다.

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'EVE-SoundTM' Toolkit for Interactive Sound in Virtual Environment (가상환경의 인터랙티브 사운드를 위한 'EVE-SoundTM' 툴킷)

  • Nam, Yang-Hee;Sung, Suk-Jeong
    • The KIPS Transactions:PartB
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    • v.14B no.4
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    • pp.273-280
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    • 2007
  • This paper presents a new 3D sound toolkit called $EVE-Sound^{TM}$ that consists of pre-processing tool for environment simplification preserving sound effect and 3D sound API for real-time rendering. It is designed so that it can allow users to interact with complex 3D virtual environments by audio-visual modalities. $EVE-Sound^{TM}$ toolkit would serve two different types of users: high-level programmers who need an easy-to-use sound API for developing realistic 3D audio-visually rendered applications, and the researchers in 3D sound field who need to experiment with or develop new algorithms while not wanting to re-write all the required code from scratch. An interactive virtual environment application is created with the sound engine constructed using $EVE-Sound^{TM}$ toolkit, and it shows the real-time audio-visual rendering performance and the applicability of proposed $EVE-Sound^{TM}$ for building interactive applications with complex 3D environments.

Study of Scene Directing with Cinemachine

  • Park, Sung-Suk;Kim, Jae-Ho
    • International Journal of Contents
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    • v.18 no.1
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    • pp.98-104
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    • 2022
  • With Unity creating footage is possible by using 3D motion, 2D motion, particular, and sound. Even post-production video editing is possible by combining the footage. In particular, Cinemachine, a suite of camera tools for Unity, that greatly affects screen layout and the flow of video images, can implement most of the functions of a physical camera. Visual aesthetics can be achieved through it. However, as it is a part of a game engine. Thus, the understanding of the game engine should come first. Also doubts may arise as to how similar it is to a physical camera. Accordingly, the purpose of this study is to examine the advantages and cautions of virtual cameras in Cinemachine, and explore the potential for development by implementing storytelling directly.

Proposal of a new method for learning of diesel generator sounds and detecting abnormal sounds using an unsupervised deep learning algorithm

  • Hweon-Ki Jo;Song-Hyun Kim;Chang-Lak Kim
    • Nuclear Engineering and Technology
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    • v.55 no.2
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    • pp.506-515
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    • 2023
  • This study is to find a method to learn engine sound after the start-up of a diesel generator installed in nuclear power plant with an unsupervised deep learning algorithm (CNN autoencoder) and a new method to predict the failure of a diesel generator using it. In order to learn the sound of a diesel generator with a deep learning algorithm, sound data recorded before and after the start-up of two diesel generators was used. The sound data of 20 min and 2 h were cut into 7 s, and the split sound was converted into a spectrogram image. 1200 and 7200 spectrogram images were created from sound data of 20 min and 2 h, respectively. Using two different deep learning algorithms (CNN autoencoder and binary classification), it was investigated whether the diesel generator post-start sounds were learned as normal. It was possible to accurately determine the post-start sounds as normal and the pre-start sounds as abnormal. It was also confirmed that the deep learning algorithm could detect the virtual abnormal sounds created by mixing the unusual sounds with the post-start sounds. This study showed that the unsupervised anomaly detection algorithm has a good accuracy increased about 3% with comparing to the binary classification algorithm.

Design of Virtual Engine Sound System for Green Car (그린카 가상 엔진음 발생기 설계)

  • Kwak, Bum-Moon;Son, Young-Dae
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.93-94
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    • 2015
  • 본 논문에서는 전기자동차의 주행에 있어 발생되는 소음이 아주 적다는 장점이 보행자들에게 있어서는 차량이 접근하고 있다는 인지능력을 감소시키는 단점으로 발생된다. 따라서 인위적인 가상의 엔진음을 발생시켜 보행자들로 하여금 차량이 접근하고 있다는 인지능력을 향상시키기 위한 전기자동차 가상 엔진음 발생기 설계에 대한 연구내용 및 방법을 제시한다. 이 시스템은 전기자동차의 전원이 ON됨과 동시에 동작하여 가상의 엔진음을 발생시키고 적정 거리의 보행자도 무리없이 소리를 인지하여 차량의 접근을 인지할 수 있도록 하여 보행자의 안전을 보장하기 위한 시스템 개발이 최종 목적이다.

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The Future of NVH Research - A Challenge by New Powertrains

  • Genuit, Ing. K.
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2010.05a
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    • pp.48-48
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    • 2010
  • Sound quality and NVH-issues(Noise, Vibration and Harshness) of vehicles has become very important for car manufacturers. It is interpreted as among the most relevant factors regarding perceived product quality, and is important in gaining market advantage. The general sound quality of vehicles was gradually improved over the years. However, today the development cycles in the automotive industry are constantly reduced to meet the customers' demands and to react quickly to market needs. In addition, new drive and fuel concepts, tightened ecological specifications, increase of vehicle classes and increasing diversification(increasing market for niche vehicles), etc. challenge the acoustic engineers trying to develop a pleasant, adequate, harmonious passenger cabin sound. Another aspect concerns the general pressure for reducing emission and fuel consumption, which lead to vehicle weight reductions through material changes also resulting in new noise and vibration conflicts. Furthermore, in the context of alternative powertrains and engine concepts, the new objective is to detect and implement the vehicle sound, tailored to suit the auditory expectations and needs of the target group. New questions must be answered: What are appropriate sounds for hybrid or electric vehicles? How are new vehicle sounds perceived and judged? How can customer-oriented, client-specific target sounds be determined? Which sounds are needed to fulfil the driving task, and so on? Thus, advanced methods and tools are necessary which cope with the increasing complexity of NVH-problems and conflicts and at the same time which cope with the growing expectations regarding the acoustical comfort. Moreover, it is exceedingly important to have already detailed and reliable information about NVH-issues in early design phases to guarantee high quality standards. This requires the use of sophisticated simulation techniques, which allow for the virtual construction and testing of subsystems and/or the whole car in early development stages. The virtual, testing is very important especially with respect to alternative drive concepts(hybrid cars, electric cars, hydrogen fuel cell cars), where complete new NVH-problems and challenges occur which have to be adequately managed right from the beginning. In this context, it is important to mention that the challenge is that all noise contributions from different sources lead to a harmonious, well-balanced overall sound. The optimization of single sources alone does not automatically result in an ideal overall vehicle sound. The paper highlights modern and innovative NVH measurement technologies as well as presents solutions of recent NVH tasks and challenges. Furthermore, future prospects and developments in the field of automotive acoustics are considered and discussed.

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3D Graphic Nursery Contents Developed by Mobile AR Technology (모바일 기반 증강현실 기술을 활용한 3D전래동화 콘텐츠 연구)

  • Park, Young-sook;Park, Dea-woo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.11
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    • pp.2125-2130
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    • 2016
  • In this paper, we researched the excellency of 3D graphic nursery contents which is developed by mobile AR technology. AR technology has currently people's attention because of the potential to be core contents of future ICT industry. We applied AR nursery contents for kid's subtitle language selection in Korean, Chinese and English education. The original fairy tale consisted of 6~8 scenes for the 3D contents production, and was adapted and translated. Dubbing was dubbed by the native speaker using the standard pronunciation, and the effect sound was edited separately to fit the scene. After composing a scenario, constructing a 3D model, constructing a interaction, constructing a sound effect, and creating content metadata, the Unity 3D game engine is executed to create a project and describe it as a script. It provides a fun and informative tradition of fairy tales with abundant content that incorporates ICT technology, accepting advanced technology-based education, and having opportunities to perceive software in daily life.

Optimal deployment of sonobuoy for unmanned aerial vehicles using reinforcement learning considering the target movement (표적의 이동을 고려한 강화학습 기반 무인항공기의 소노부이 최적 배치)

  • Geunyoung Bae;Juhwan Kang;Jungpyo Hong
    • The Journal of the Acoustical Society of Korea
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    • v.43 no.2
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    • pp.214-224
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    • 2024
  • Sonobuoys are disposable devices that utilize sound waves for information gathering, detecting engine noises, and capturing various acoustic characteristics. They play a crucial role in accurately detecting underwater targets, making them effective detection systems in anti-submarine warfare. Existing sonobuoy deployment methods in multistatic systems often rely on fixed patterns or heuristic-based rules, lacking efficiency in terms of the number of sonobuoys deployed and operational time due to the unpredictable mobility of the underwater targets. Thus, this paper proposes an optimal sonobuoy placement strategy for Unmanned Aerial Vehicles (UAVs) to overcome the limitations of conventional sonobuoy deployment methods. The proposed approach utilizes reinforcement learning in a simulation-based experimental environment that considers the movements of the underwater targets. The Unity ML-Agents framework is employed, and the Proximal Policy Optimization (PPO) algorithm is utilized for UAV learning in a virtual operational environment with real-time interactions. The reward function is designed to consider the number of sonobuoys deployed and the cost associated with sound sources and receivers, enabling effective learning. The proposed reinforcement learning-based deployment strategy compared to the conventional sonobuoy deployment methods in the same experimental environment demonstrates superior performance in terms of detection success rate, deployed sonobuoy count, and operational time.