Acoustics S V A M "Bridging Industries & Specialists
in Vibration & Acoustics Applications"
SOCIETY OF VIBRATION AND ACOUSTICS MALAYSIA

WELCOME

Who We Are

“Scientific society of academia and industrial experts to advance the interdisciplinary knowledge and practice in the field of engineering vibration and acoustics in Malaysia”

Research

Consultancy

Development

Publications

Courses

Conferences

OUR MAIN OBJECTIVES

To promote local and international development and collaboration in all fields of vibration & acoustics including research, development, education, and standardisation.

To increase information exchange by sponsoring, cosponsoring or supporting seminars, workshops, congresses and publishing journals, newsletters and other publications

FUTURE AND PAST EVENTS

CSAC2026

AIAC2026

SVAM Seminar August 2026

ICVSSD 2026

NVC2025

ICVSSD2024

JOIN SVAM

If you want to involve in scientific and professional activities in vibration and acoustics, why not join us?

Founding Members

Ordinary Members

Corporate Members

Student Members

MEET OUR COMMITTEE MEMBERS

Mr Ahmad Zufar Adzahan

Seminar, Webinar and Workshop

Dr. Muhamad Norhisham Abdul Rani

Industrial, Government Collaboration & International Work

Dr. Nurul Amira Abd Jalil

Secretary General

Miss Seow Khei Yinn

Vice President / Industrial, Government Collaboration & International Work

Dr. Mohd Shahrir Mohd Sani

Publication (Journal/Conference)

Dr Muhajir Ab Rahim

Promotion and Website

Dr. Mohd Zaki Nuawi

Conference, Seminar and Workshop

Dr. Nazli Che Din

Vice President / Industrial, Government Collaboration & International Work

Ir Dr Mohd Azmi Yunus

Treasurer / Membership and Communication

Our Industrial Partner

GET IN TOUCH

Phone: +60(3)-9769 6338
Fax: +60(3)-9769 7122

Society of Vibration and Acoustics Malaysia (SVAM)
Blok TG-B-08
Pusat Teknologi UKM-MTDC
Universiti Kebangsaan Malaysia
43600 Bangi, Selangor
Malaysia

svaminfo@svam.my

OUR ARTICLES

Acoustic Modeling and Simulation of an Adjustable Concert Hall with Variable Reverberation Time for Classical and Angklung Music

0

The acoustic environment of a concert hall is acoustically specially designed for musical performances, typically in a single configuration for general use. While this may be effective for certain genres, it can be less suitable for others. Since traditional music is usually performed with no standardized acoustic, large-capacity halls specifically designed for traditional music, particularly angklung, remain scarce, let alone one capable of accommodating both classical and traditional music in a multipurpose setting. This study explores adjustable design capable of accommodating multiple genres through variable reverberation times. Through modeling and simulation using the room mapping module in EASE 5 software, four hall configurations were developed for angklung and three classical […]

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Characterisation of Deproteinised Natural Rubber Latex Foam for Enhanced Acoustic and Vibration Isolation

0

Natural acoustic foams used in recording studios, auditoriums, cinemas, etc., are largely of petrochemical origin and cause environmental and health problems. The current research explores the application of natural rubber (NR) latex foam as a substitute material. Three types of NR latex foams low ammonia (LATZ), deproteinized (DPNR), and epoxidized (ENR)were developed and characterized for their acoustic and mechanical performance. Sound performance was tested in an impedance tube to ISO 10534-2, for sound absorption coefficient (SAC), noise reduction coefficient (NRC), and sound transmission loss (STL). Results indicate that STL is a rising function of foam density, while SAC in the low-frequency range is a function of density but in high […]

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Feature-Optimised Machine Learning Framework for Intelligent CNC Grinding Tool Monitoring

0

Tool Condition Monitoring (TCM) is vital in CNC grinding to ensure dimensional precision, surface quality, and process efficiency. This study introduces a machine learning-based TCM framework that integrates vibration signal analysis, feature extraction, and metaheuristic optimization. Vibration data from industrial CNC grinding were processed to extract time- and frequency-domain features, which were then applied to tool wear prediction using Support Vector Regression (SVR). To improve accuracy and robustness, the Marine Predators Algorithm (MPA) was employed for hyperparameter tuning. The MPA-optimized SVR achieved the lowest mean squared error (0.0028), outperforming autoregressive (0.0088) and power-law (0.0084) models. These findings demonstrate the potential of combining vibration analysis with metaheuristic-optimized machine learning for intelligent, […]

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Identifying The Malay’s Traditional Musical Instruments using Acoustic Signal

0

Within Malaysia, one of the oldest Malay’s art heritage is traditional music with accompanying instruments where knowledge is passed down from one generation to another. These days, they still appear as a medium of communication and entertainment by supplementing the performing arts in the local community (Kechot 2013). Henceforth, the existence of the musical instruments symbolised proof of the old local’s wisdom and understanding of social needs. The common ones are cak lempong, gambus, gendang, gong, kompang, seruling (flute), rebab and rebana. They produced vast acoustic diversities with varying tones, melody and rhythms. Alternatively, the sound can be converted and observed in the time series and frequency domain (Darji 2017). […]

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JOURNAL OF ACOUSTICS AND VIBRATION RESEARCH
(JAVR)

Our peer-reviewed journal on analytical, computational and experimental studies of acoustics and vibration.