Annual Review 2018 | Page 26

Miniaturised acoustic wave devices as multifunction sensors for smartphones and wearable applications With the market for wearable technology expected to be worth USD51 billion by 2020, there has been increasing demand for sensitive, smart, and advanced microsensors – the key electric component. There is immense potential for including environmental sensors which can detect beyond biomedical measurands such as PM2.5 index. This research is investigating the possibility of interfacing a wireless passive sensor with a smartphone as a wearable sensing platform. The outcome could lead to revolutionising sensors for smartphones and the wearables industry. Researchers: Dr Narayanan Ramakrishnan, Dr Tridib Saha and Dr Ajay Achath Mohanam Funding agency: MEMscom Technology Sdn Bhd Malaysian Business Sentiment Survey 2018/2019 Malaysia's business leaders take measured steps every day to improve their businesses and make deliberate decisions that ultimately affect all Malaysians. Their decisions to expand operations, invest in new technology, or lobby to support the government’s policies have an important impact on Malaysia’s economy. The survey gathered the opinions, voice and feelings of the country’s business leaders, and highlighted concerns that could potentially affect businesses seeking growth through investments in existing products and services in new markets. These findings merit attention if Malaysia is to remain competitive in a global economy without borders. Researchers: Professor Mahendhiran Nair, Professor Pervaiz Ahmed, Associate Professor Santha Vaithilingam, Dr Au Wee Chan and Dr Prabahkaran Narayanan Funding agency: CPA Australia Limited Non-destructive inspection method to identify defects on casting parts Researchers are developing an effective method to detect surface cracks on casting parts. Among others, the study will investigate the viability of forced vibration response analysis, compare it with impulse vibration response for defect detection purposes, and develop an artificial intelligence algorithm suited for automated defect detection. Researchers: Dr Wang Xin, Dr Tan Ming Kwang and Dr Tan Boon Thong Funding agency: Shenzen Ursend Technology Co Ltd Understanding the development of smart manufacturing policies in APEC economies There is no dedicated initiative to date to support smart manufacturing. Due to the extensive transformation and disruptive nature that these technological changes bring, current government policy, framework and regulation would not be adequate to address issues faced through digitalisation. This project seeks to address the gaps existing in the policy frameworks in Asia-Pacific Economic Cooperation (APEC) economies and propose ways to strengthen their smart manufacturing policies. Researchers: Professor Mahendhiran Nair, Professor Pervaiz K Ahmed, Associate Professor V Santha A Vaithilingam, Dr Au Wee Chan, Dr Prabahkaran Narayanan and Mr Daniel Lee Funding agency: Asia-Pacific Economic Cooperation Secretariat 25 Fundamental investigation into the synergistic action of deep eutectic solvents and ultrasound in promoting the valorisation of oil palm biomass Deep eutectic solvents (DES) have received considerable attention, not only because of their ability in delignification but also in transforming reducing sugars into furanic derivatives. This research explores the synergistic action of DES and ultrasound in delignification and transformation of oil palm fronds into bio-based products. The study will advance knowledge of using DES as a green solvent in the transformation of agricultural residues into higher-value-added bio-products, conforming to the aim of the Agriculture National Key Economic Area, which is to contribute to the country's economic growth and sustainability. Researchers: Associate Professor Wu Ta Yeong, Associate Professor Siow Lee Fong and co-researchers from Universiti Malaysia Sabah, Universiti Malaya and Universiti Kebangsaan Malaysia Funding agency: Ministry of Education (for Associate Professor Wu’s Malaysia Research Star Award 2017)