A5103183197- Semiconductor materials and devices
- Time Series Analysis and Forecasting
- Advancements in Semiconductor Devices and Circuit Design
- Data Mining Algorithms and Applications
- Electrostatic Discharge in Electronics
- Data Management and Algorithms
- Electromagnetic Compatibility and Noise Suppression
- Electronic Packaging and Soldering Technologies
- Integrated Circuits and Semiconductor Failure Analysis
- Digital Mental Health Interventions
- Data Stream Mining Techniques
- Advanced Data Storage Technologies
- Physical Activity and Health
- Human Mobility and Location-Based Analysis
- Advanced Sensor and Energy Harvesting Materials
- Advancements in PLL and VCO Technologies
- Rough Sets and Fuzzy Logic
- Mobile Health and mHealth Applications
- Context-Aware Activity Recognition Systems
- Transition Metal Oxide Nanomaterials
- Radio Frequency Integrated Circuit Design
- Advanced Memory and Neural Computing
- Gas Sensing Nanomaterials and Sensors
- Diabetes Management and Education
- Video Surveillance and Tracking Methods
National Cheng Kung University
2015-2022
Taiwan Semiconductor Manufacturing Company (Taiwan)
2009-2018
Winbond (Taiwan)
2007
Intel (United States)
2003
An embedded phase change memory technology in 40nm low-power logic platform is demonstrated with minimal added process complexity - two non-critical additional masks over standard logic. Specially designed hard mask and etching was used to achieve 50% shrinkage of the cell bottom electrode dimension same lithography tooling as platform. Bottom CD along optimization materials terms electrical thermal conductivity enabled significant (~4x) write current reduction attaining competitive levels ~...
Recently people pay more and attention on how to effectively efficiently analyze the result of regular physical examinations provide most helpful information for individual health management. In this paper, we design develop an interactive system virtual healthcare assistant help people, especially those who suffer from chronic diseases (e.g., metabolic syndrome) easily understand their conditions then well manage it. This analyzes examination evaluate risk personalized services users in...
Mobile healthcare has become an important trend in medical and domains. With the rapid development of wearable sensing technologies, various health-related information can now be recorded, forming valuable big health data. Physical activities are considered to have a great impact on heart rate, analysis rate data is widely used medical/healthcare researches. The exercise records been for research intensity many institutes. Heart patterns refers symbol status heart, which based current other...
Episode pattern mining is a very powerful technique to get high-valued information for people solve real-life cross-disciplinary problems, such as the analysis of manufacturing, stock markets, weather records and so on. As data grows, process must be re-triggered again obtain most updated information. However, periodically re-mining full dataset not cost-effective, thus number incremental approaches arise growing data. our best knowledge, there exist few studies targeted on problem episode...
This paper describes a reconfigurable analog front-end (AFE) and audio codec IC supporting the wideband code division multiple access (WCDMA) standard. The chip is fabricated on Intel's 0.18-μm (SOC) flash+logic+analog (FLA) process technology using 0.35-μm feature size transistor. transmit path contains 10-bit segmented rail-to-rail digital-to-analog converter, automatically tunable active RC filter, programmable gain amplifier (PGA) with self-tuning offset correction circuit. receive...
Continuous miniaturization of microelectronic devices is enabling more portable and wearable electronic products such as thinner smart phones watches. WLCSP (Wafer Level Chip Size Package) has been widely adopted for due to its compactness. Microelectronic in may be exposed chlorine fluorine because they come direct contact with the human body under wearing condition. Products corrosion have found product evaluations, thus it necessary investigate resistance factors affecting reliability.
We demonstrate multi-V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</sub> engineering on both CMOS bulk and FinFET devices through As implantation into a 1.0nm EOT TiN/high-K gate stack within single metal dielectric approach. determine process window enabling V tuning without any device degradation. It is shown that this approach suitable for with aggressively scaled dielectrics and, particularly, fully depleted 3D architectures.
Easily integrable cost effective gate first Single Metal Dielectric (SMSD) solution based on As implantation into TiN/HfO <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> with ∼ 1 nm EOT is presented. A consistent n-type shift of 250 mV down to 35 L xmlns:xlink="http://www.w3.org/1999/xlink">g</inf> obtained by I/I compared the reference stack. Symmetrical threshold voltages (∼ ±0.5 V) are met for bulk planar devices using this technique,...
A new ESD topology is proposed for RF low-noise amplifier (LNA). By using the modified silicon-controlled rectifier (MSCR) in conjunction with a P+/N-well diode clamp, 5.8-GHz LNA 6.5-kV protection circuit demonstrated by 65-nm CMOS technology. Compared reference design, enhances level from 3.5 kV to 6.5 human body model (HBM) while noise figure (NF) only 0.13 dB higher. Under supply voltage of 1.2 V and drain current mA, ESD-protected has NF 2.57 an associated power gain 16.7 dB. The input...
A method utilizing charged device model (CDM) discharging to emulate real-world board (CBM) was proposed and successfully addressed the weakest spot of whole chip. In order extract correlation between CDM pre-fail voltage V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CDM</sub> CBM xmlns:xlink="http://www.w3.org/1999/xlink">CBM</sub> , capacitance waveforms output pin on an IC printed circuit (PCB) were measured. The results showed that...
With the ubiquity of sensor networks and smart devices that continuously collect data, we face challenge analyzing growing stream data in real time. In recent years, there has been a huge need to gain useful knowledge by incrementally event sequence data. Although episode pattern mining techniques have existed for people recently become more aware their practical value solving real-life domain problems such as manufacturing records, stock markets, weather forecasts. The effective efficient...