13th International
SoC Design Conference

October 23 ~ 26, 2016
Ramada Plaza Jeju Hotel, Jeju Korea

Tutorials (Sunday, October 23, 2016)

[Tutorial 1-1] (13:00~14:30)
Deep Learning for Computer Vision

Junmo Kim
Ph.D., Professor, KAIST, Korea

Junmo Kim received the B.S. degree from Seoul National University, Seoul, Korea, in 1998, and the M.S. and Ph.D. degrees from the Massachusetts Institute of Technology (MIT), Cambridge, in 2000 and 2005, respectively. From 2005 to 2009, he was with the Samsung Advanced Institute of Technology (SAIT), Korea, as a Research Staff Member. He joined the faculty of KAIST in 2009, where he is currently an Assistant Professor of electrical engineering. His research interests are in image processing, computer vision, statistical signal processing, and information theory.

Recently deep learning has become one of the most powerful and popular machine learning techniques due to its record-breaking performances in a variety of recognition tasks including speech recognition and image classification. Deep learning also changed the paradigm of pattern recognition in that it allows us to automatically discover hierarchical features from data instead of relying on hand-crafted features. In this tutorial, I will provide an overview of deep learning discussing what have been the main difficulties of training deep neural networks and how these difficulties have been overcome by recent breakthroughs. I will also introduce several deep learning techniques such as restricted Boltzmann machine (RBM), deep belief network (DBN), deep neural network (DNN), and convolutional neural network (CNN) and talk about how they are applied to computer vision problems such as a large scale image classification.

[Tutorial 1-2] (14:45~16:15)
Design strategies for wearable sensor interface circuits for patient-specific monitoring

Jerald Yoo
Ph.D., Professor, Masdar Institute of Science and Technology, United Arab Emirates

Jerald Yoo received the B.S., M.S., and Ph.D. degrees in Department of Electrical Engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2002, 2007, and 2010, respectively.
Since 2010, he has been with Electrical Engineering and Computer Science, Masdar Institute, Abu Dhabi, United Arab Emirates, where he is currently an associate professor. He developed low-energy Body Area Network (BAN) transceivers and wearable body sensor network using Planar-Fashionable Circuit Board (P-FCB) for continuous health monitoring system. His research focuses on low energy circuit technology for wearable bio signal sensors, BAN transceivers, ASIC for piezoelectric Micromachined Ultrasonic Transducers (pMUT) and SoC design to system realization for wearable healthcare applications. He is an author of a book chapter in Biomedical CMOS ICs (Springer, 2010).
Dr. Yoo is the recipient or a co-recipient of several awards: IEEE International Circuits and Systems (ISCAS) 2015 Best Paper Award (BioCAS Track), ISCAS 2015 Runner-Up Best Student Paper Award, the Masdar Institute Best Research Award (2015) and the Asian Solid-State Circuits Conference (A-SSCC) Outstanding Design Awards (2005). He is the Vice Chair of IEEE Solid-State Circuits Society (SSCS) United Arab Emirates (UAE) Chapter. Currently he serves as a Technical Program Committee member in IEEE Asian Solid-State Circuits Conference (A-SSCC), IEEE Custom Integrated Circuits Conference (CICC) and in IEEE International Solid-State Circuits Conference (ISSCC) Student Research Preview (SRP). He is also an Analog Signal Processing Technical Committee (ASPTC) member of IEEE Circuits and Systems Society (CASS). He is a senior member of IEEE.

Wearable healthcare sensor provides attractive opportunity for semiconductor sector. The target here is to mitigate the impact of chronic diseases by providing continuous yet adequate low noise monitoring and analysis of physiological signals. Wearable environment is challenging for circuit designers due to its unstable skin-electrode interface to begin with. Wet and dry electrodes have very different electrical characteristic that needs to be addressed. Also, in wearable environment, trade-off between available resource and performance among the components (analog front-end and digital back-end) is of crucial.
This short course will cover the design strategies of bio interface circuits for such wearable sensors. We will first explorer the difficulties, limitations and potential pitfalls in wearable interface and strategies to overcome such issues. After that, system level considerations for better key metrics such as energy efficiency will be introduced. Several state-of-the-art instrumentation amplifiers that emphasize on different parameters will also be discussed. We will then see how the signal analysis part impacts the analog interface circuit design; we will also cover how we can achieve patient-specific monitoring. The talk will conclude with interesting aspects and opportunities that lie ahead.

[Tutorial 1-3] (16:30~18:00)
Wearable and Patchable Integrated Sensors for Real-time Continuous Monitoring of Vital
Physiological Signals

Zheng Yuanjin
Ph.D., Professor, Nanyang Technological University, Singapore

Dr. Zheng Yuanjin received his B.Eng. from Xi'an Jiaotong University, P. R. China in 1993, M. Eng. from Xi'an Jiaotong University, P. R. China in 1996, and Ph.D. from Nanyang Technological University, Singapore in 2001. From July 1996 to April 1998, he worked at the National Key Lab of Optical Communication Technology, University of Electronic Science and Technology of China. He joined the Institute of Microelectronics, A*SATAR on 2001 as a senior research engineer, and then promoted to a principle investigator and group leader for wideband RFIC design group. Here, he has leaded and developed various CMOS RF transceivers and baseband SoC for WLAN, WCDMA, Ultra-wideband, and low power medical radio etc. Since July, 2009, he joined Nanyang Technological University as an assistant professor. He has been working on electromagnetic and acoustics physics and devices, biomedical imaging especially photoacoustics / thermoacoustics imaging and 3D imaging, energy harvesting circuits and systems etc.
Dr. Zheng has published more than 250 journal and conference papers, 22 patents filed/granted and 5 book chapters. He served as session chairs and TPC chairs/members for several international conferences. He has successfully leaded and contributed numerous public funded research and industry projects.

Continuous health monitoring in hospital and/or home conditions has been of interest to doctors and healthcare practitioners for a long time. Recording of physiological and psychological variables in real-life conditions could be especially useful in management of accurate and chronic disorders or health problems, e.g., for stoke, shock, high blood pressure, diabetes, neural disorder, chronic pain, or severe obesity etc.. Physiological signals have been used as important indicator of the vital signs of human kinds, and real time monitoring of various physiological signals can predicate and be preventive to many serious life attacks. Furthermore, real-life long-term monitoring of health could be good measurement of treatment effects at home care, in situations where the subjects live their daily life. In this tutorial, firstly we will introduce and cover different types of physiological signals such as electrocardiogram (ECG), blood oxygen saturation (SO2), neural spike, blood core temperature, and Glucose etc. Secondly, the typical and vibrant integrated wearable or patchable sensors to acquire and measure the physiological signals are introduced and presented. Furthermore, the newly developed novel physiological sensors will be illustrated and demonstrated. The vital important applications and future development aspects are briefly envisioned.

[Tutorial 2-1] (13:00~14:30)
CMOS Image Sensor and Its Noise

Manlyun Ha
Ph. D., Dongbu Hitek Co. Ltd., Korea

- Bachelor of Electronics, Kyoungpook Nat. Univ. (1991~1997)
- Master of Electrical Engineering & Computer Science, KAIST (1998~1999)
- Ph.D of Electrical Engineering & Computer Science, KAIST (2000~2004)
- MagnaChip Semiconductor (2005~2008): 0.13~ 0.11um tech. CIS Tech. Development
- Dongbu Hitek (2009~Present):0.13um~0.11um CIS Tech. Development (Mobile & Nonmobile), Under 90nm CIS Tech. Development (FSI & BSI)

In this lecture, as a first, I will review the recent CMOS image sensor’s application and technology development trend. And then, as a next, I will introduce the understanding and the developing status on the Image Noise. Recently the application area of the CMOS Image Sensor become wide continuously and, mainly, it can be divided as Mobile Phone, High-end Camera (DSLR/DSC), Time-of-Flight, Automotive, Security, Medial, and Science & Space area. The market demand for the CIS technology increases even yet and nowadays, thanks to appearance of the Dual camera system in mobile phone, its demand expects to become twice simply. Automotive Sensor is also very impressive application market but needs higher reliability and frame rate than other applications. Security Sensor receives the attention with increasing needs on the social safety request. The main medical sensor is the capsule endoscope and X-ray sensor.

Even though many application areas there are, the main technology stem can be listed as two types. Fist one is the FSI (Frontside Illumination) and second one is the BSI (Backside Illumination). As well-known, the FSI technology is based on the traditional semiconductor processing technology and many important technologies have been developed, but due to the process limitation, now this is used for making the large pixel products and some special aim sensors.
The BSI technology shows so impressive performance but have so complicate process and high cost at the same time. Nevertheless, recently the BSI technology applied for the high-end camera and become general trend and this expand its application area to the large pixel products continuously.

These application conditions and process technology developments in CMOS Image Sensor is always running with the understanding of the Image Noise. This understanding of the Image Noise acts as one of the big motivation of technology development. To understand the Image noise, I will review the operation of the unit pixel at first and then design and layout related noise will be reviewed, too. List up the noise from the image and then also summarize and understand the physical basis of these noises, we can imagine the technical method to solve these noises. I check the direction of the technology development from the review of recent results to improve the image quality in the process and design area. This will give us the opportunity to develop more improved products.

[Tutorial 2-2] (14:45~16:15)
Designing High-Performance Circuits Using Inverter Based Amplifiers

Ramesh Harjani
Ph.D., Professor, University of Minnesota, USA

Ramesh Harjani is the E.F. Johnson Professor of Electronic Communications in the Department of Electrical & Computer Engineering at the University of Minnesota. He is a Fellow of the IEEE. He received his Ph.D. in Electrical Engineering from Carnegie Mellon University in 1989. He was at Mentor Graphics, San Jose before joining the University of Minnesota and has been a visiting professor at Lucent Bell Labs, Allentown, PA and the Army Research Labs, Adelphi, MD. He co-founded Bermai, Inc, a startup company developing CMOS chips for wireless multi-media applications in 2001. His research interests include analog/RF circuits for wired and wireless communication systems.

Dr. Harjani received the National Science Foundation Research Initiation Award in 1991 and Best Paper Awards at the 1987 IEEE/ACM Design Automation Conference, the 1989 International Conference on Computer-Aided Design, and the 1998 GOMAC. His research group was the winner of the SRC Copper Design Challenge in 2000 and the winner of the SRC SiGe challenge in 2003. He is an author/editor of eight books. He was an Associate Editor for IEEE Transactions on Circuits and Systems Part II, 1995-1997, Guest Editors for the International Journal of High-Speed Electronics and Systems and for Analog Integrated Circuits and Signal Processing in 2004 and a Guest Editor for the IEEE Journal of Solid-State Circuits, 2009-2011. He was a Senior Editor for the IEEE Journal on Emerging & Selected Topics in Circuits & Systems (JETCAS), 2011-2013. He was the Technical Program Chair for the IEEE Custom Integrated Circuits Conference 2012-2013, the Chair of the IEEE Circuits and Systems Society technical committee on Analog Signal Processing from 1999 to 2000 and a Distinguished Lecturer of the IEEE Circuits and Systems Society for 2001-2002.

Amplifiers form the core of many analog and mixed-signal circuits. However, the design of differential pair based OTAs is becoming increasingly difficult in finer geometries due to lower supply voltages. Inverter based designs have proven to have better transconductance efficiency, higher swing and better linearity but have degraded CMRR, worse PSRR and limited PVT tolerance. In this tutorial, we discuss traditional amplifiers and why inverter based amplifiers are better suited for lower supplies. We then describe the design procedure for inverter based OTA designs with an emphasis on improving their performance, including PVT tolerance, CMRR and PSRR. In particular, we introduce new biasing techniques for inverters to improve their PVT tolerance. We will finally validate our designs using measurement results from a number of fabricated designs.

[Tutorial 2-3] (16:30~18:00)
Low-Power High-Resolution ADCs for Sensor Applications

Youngcheol Chae
Ph.D., Professor, Yonsei University, Korea

Youngcheol Chae received the Ph.D degree in electrical and electronic engineering from Yonsei University, Seoul, Korea in 2009. From 2009 to 2011, he was a post-doctoral researcher with Delft University of Technology in the Netherlands. Dr. Chae is currently an Assistant Professor at Electrical and Electronic Engineering Department, Yonsei University. After joining Yonsei since 2012, he leads the Mixed-Signal IC Laboratory working on low-power data converters, high performance sensors and interface circuits. He has authored or co-authored 20 patents and over 50 technical papers. Dr. Chae received the Outstanding Teaching Award from Yonsei University in 2013 and 2014, respectively. He received a VENI grant from Dutch Technology Foundation STW in 2011. In 2008, He received a Gold Prize (1st) at Human-Tech Thesis Award (14th) from Samsung Electronics. Dr. Chae is a member of several technical program committees.

Low-power, high-resolution analog-to-digital converters (ADCs) are highly required in many sensor applications. Such ADCs often result in poor energy-efficiency and high-power consumption, thus making them unsuitable for the use in battery-powered sensor systems. This tutorial covers the design of low-power high-resolution ADCs for smart sensor interfaces, which include both architectural- and circuit- level techniques to maintain their power-efficiency. It also describes practical design aspects from several design examples.