Keynote Speakers

RF-CMOS Technology Advances IoT

Abstracts:

Recently, the number of IoT devices are increased, which adapted narrow band wireless technologies such as BLE, LPWA and so on. These intelligent IoT device has RF wireless technologies to communicate to other system, and the digital circuit technologies with low power consumption. We will introduce Socionext’s RF-CMOS technology to address these requirements. And as an example, we will explain out active tag solution, “ZETag”.

Keywords: IoT; RF-CMOS; Wireless

Planning the Future of Thai Electricity Generation and Smart Grid Development

Abstracts:

Since 2007, Thailand electricity generation planning has been overwhelming with flaws and prediction errors. Until this moment, there is still no clear direction on how it can meet the international commitment to reduce CO2 footprint by 20-40% in 2030 and becoming a CO2-neutral country by 2050. With the rising price of electricity, Thai government still struggles deeply by subsidizing electric bills for the poor and keep solving the problem on the superficial basis. In this presentation, Thailand electricity generation planning problem will be analyzed to the structure level.  The research result for future of Thailand electricity plan to meet the decarbonization target will be explained with immediate action recommendation. It has been discovered that more than 250 GW of solar power capacity and 50 GW of grid energy storage would be required in 2050 to meet the CO2 target. The problems of high-level renewable generation integration to the grid and perhaps new energy market model are needed to be studied. Finally, other related future research topics will be proposed to challenge the audiences and call for participation.

Keywords: 

Energy planning; Power Development Plan; Smart Grid; Carbon Neutrality

Audio/Speech Information Hiding based on Human Auditory Characteristics

Abstracts:

Audio information hiding (AIH) has recently been focused on as a state-of-the-art technique enabling copyrights to be protected and defended against attacks and tampering of audio/speech content. This technique has aimed at embedding codes as watermarks to protect copyrights in audio/speech content, which are inaudible to and inseparable by users, and at detecting embedded codes from watermarked signals. It has also aimed at verifying whether it can robustly detect embedded codes from watermarked signals (robust or fragile), whether it can blindly detect embedded codes from watermarked signals (blind or non-blind), whether it can completely restore watermarked signals to the originals by removing embedded codes from them (reversible or irreversible), and whether it can be secure against the publicity of algorithms employed in public or private methods. AIH methods, therefore, must satisfy some of the five following requirements to provide a useful and reliable form of watermarking: (a) inaudibility (inaudible to humans with no sound distortion caused by the embedded data), (b) robustness (not affected when subjected to techniques such as data compression and malicious attacks), (c) blind detectability (high possibility of detecting the embedded data without using the original or reference signal), (d) confidentiality (secure and undetectable concealment of embedded data), and (e) reversibility (removable embedded data from the watermarked signal and/or enable watermarking to be re-edited). In this talk, historical and typical AIH methods (including speech information hiding) are introduced and pointed out drawbacks. Then our proposed methods based on human auditory characteristics (cochlear delay, adaptive phase modulation, singular spectrum analysis with psychoacoustic model, formant enhancement, spread-spectrum with LP residue) are introduced. In addition, current research issues such as speech spoofing and deepfake detection will also be introduced.

Keywords: 

Audio/speech, Speech Spoofing, Deep Fake Detection