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2017 ICISTS Conference 'Draw the Web: Interactions in Society'
The KAIST undergraduate organization, ICISTS (International Conference for Integration of Science, Technology and Society) will convene its annual conference from July 31 to Aug. 4 at the KAIST Daejeon Campus. This year’s theme is “Draw the Web: Interactions in Society.” More than 300 participants from 60 universities in 20 countries will participate in the international conference hosted and planned by the student organization.
Speakers at the 2017 conference include leaders in technology, business, investment, and entrepreneurship, and many others highlighted by Christoffer O. Hernæs, chief digital officer of Skandiabanken and vice president of strategy and innovation at Sparebank; Vincent C. Müller, professor of the philosophy division of humanities & social sciences at Anatolia College; Nigel Parker, director of developer and platform evangelism at Microsoft APAC; and Jon Gosier, founder and CEO of WoundedMetrics, who was voted as one of the 25 most influential African-Americans in technology by Business Insider in 2013 and 2014.
ICISTS has organized and hosted this event, the largest academic conference hosted and organized by students in Asia, since 2005 as a way to discuss an incredibly challenging issue: how science and technology is being integrated into society. This year’s conference will explore how prominent technological advancements are integrated, and how the interactions between humanity and technology will affect society. This year’s sub-theme is “Settlement, Movement, and Inequality.”
In addition to the main session, ICISTS is preparing discussion sessions in which guest speakers and participants will divide into small groups to discuss their responses to the themes. Various additional events including a culture night and an excursion program will serve as opportunities to network with other participants. For more information on the program and how to register, please visit http://www.icist.org.
2017.05.22 View 8600 -
Distinguished Professor Lee Elected to the NAS
Distinguished Professor Sang Yup Lee of the Department of Chemical and Biomolecular Engineering was elected as a foreign associate to the US National Academy of Sciences (NAS) on May 2. The National Academy of Sciences elected 84 new members and 21 foreign associates in recognition of their distinguished and continuing achievements in their original research. Election to the Academy is widely regarded as one of the highest honors that a scientist can receive.
Professor Lee was also elected in 2010 as a member of the US National Academy of Engineering (NAE) for his leadership in microbial biotechnology and metabolic engineering, including the development of fermentation processes for biodegradable polymers and organic acids. Until 2016, there are only 12 people worldwide who are foreign associates of both NAS and NAE.
He is the first Korean elected to both prestigious academies, the NAS and the NAE in the US. Professor Lee is currently the dean of KAIST Institutes, the world leading institute for multi-and interdisciplinary research. He is also serving as co-chair of the Global Council on Biotechnology and member of the Global Future Council on the Fourth Industrial Revolution, the World Economic Forum.
2017.05.16 View 9915 -
Seeking a New Economic and Industrial Paradigm
The School of Humanities & Social Science will offer the open lecture course titled ‘Seeking a New Economic and Industrial Paradigm’ from May11 to June 7. This is part of a quarterly lecture series run by the school and open to the public.
The open lecture is designed to provide opportunities for the public to identify future challenges and opportunities for Korea’s economy and industry. Experts in macroeconomics, finance, and global collaboration will provide glimpses of new directions for each sector as well as megatrends of emerging technologies on the heels of the 4th Industrial Revolution.
Jin Hyuk Yoo from the Bank of Korea will speak on the ‘Outlook and Challenges of the Korean Economy.’ He will identify the current economic situation and explain how to build on sustainable long-term economic growth in the opening course.
Won-Bin Lee of the Korea Institute for Industrial Economics & Trade will present on the ‘New Industrial Policy in the Era of the Fourth Industrial Revolution.’ His lecture will focus on fostering the local industry and creating its own ecosystem for furthering regional industries.
Dong-Hoon Lee of Donga ST will speak on the implications that the Fourth Industrial Revolution will bring about in the medical industry. Won-Suk Choi of FnPricing will introduce the FN business model, presenting the risks and benefits of fintech in his lecture ‘Finance: Human and Technology.’
Jae-Hong Choi of the Institute of International Development Cooperation at Korea University will give a talk titled ‘Toward the World through Global Cooperation.’ He will present on the history of Korea’s global cooperation initiatives and the role of KOICA, introducing its emerging economic and industrial cooperation model.
Professor Jeounghoon Kim, who is responsible for the public lecture program, said, “Korea now faces very diverse social economic and industrial challenges and we seem to be lost while searching for a solution. The public will have an opportunity to understand the current economic situation and its industrial implications.”
For registration and more info, please visit http://hss.kaist.ac.kr.
2017.04.26 View 8634 -
Professor Jinah Park Received the Prime Minister's Award
Professor Jinah Park of the School of Computing received the Prime Minister’s Citation Ribbon on April 21 at a ceremony celebrating the Day of Science and ICT. The awardee was selected by the Ministry of Science, ICT and Future Planning and Korea Communications Commission.
Professor Park was recognized for her convergence R&D of a VR simulator for dental treatment with haptic feedback, in addition to her research on understanding 3D interaction behavior in VR environments. Her major academic contributions are in the field of medical imaging, where she developed a computational technique to analyze cardiac motion from tagging data.
Professor Park said she was very pleased to see her twenty-plus years of research on ways to converge computing into medical areas finally bear fruit. She also thanked her colleagues and students in her Computer Graphics and CGV Research Lab for working together to make this achievement possible.
2017.04.26 View 10039 -
2017 Summer Nuclear Nonproliferation Education Program
The Nuclear Nonproliferation Education and Research Center (NEREC) at KAIST announced its 30 scholarship recipients for the 2017 Summer Nuclear Nonproliferation Education Program on April 18. The six-week program, starting from July 10, will be run in Korea, Japan, and China.
The program provides young global scholars with focused and challenging nuclear nonproliferation studies. Young scholars will be exposed to diverse science and technology policies and practices concurrently conducted in many countries and the future direction for enhancing nuclear nonproliferation. They will participate in a series of seminars, projects, international conferences, and field trips.
Since its launch in 2014, the program has educated 71 young scholars. This year, more than 150 scholars from 37 countries applied for the program, reflecting the growing reputation of the program both at home and abroad. The director of the NEREC, Professor Man-Sung Yim of the Department of Nuclear and Quantum Engineering at KAIST said that young scholars from very prestigious foreign universities have shown strong interest in the program. According to Professor Yim, this year’s recipients are from 26 universities from 16 countries including Harvard University, Oxford University, the National Research Nuclear University of Russia, and the Tokyo Institute of Technology
2017.04.19 View 9018 -
Tactile Sensor for Robot Skin Advanced by KAIST Team
The joint research team of Professors Jung Kim and Inkyu Park from the Department of Mechanical Engineering developed a tactile sensor that can act as skin for robots using silicon and carbon materials. This technology produced a sensor that can absorb shock and distinguish various forms of touch, and it is hoped to be used as robot skin in the future.
Skin serves an important role as the largest organ of the human body. As well as protecting major organs from external shock, skin also measures and distinguishes delicate tactile information and transfer it to the nervous system.
Current robotic sensory technology allows robots to have visual and auditory systems at nearly similar levels to human capacity, but there are limitations in tactile sensors that can detect changes in the environment throughout the body. To apply skin with similar functions as humans to robots, it is essential to develop skin sensor technology with high flexibility and high shock absorption. Another limitation for developing robot skin was connecting numerous sensors all over the body using electric wiring.
To overcome this problem, the research team combined silicon and carbon nanotubes (CNT) to produce a composite, which was then used in combination with a medical imaging technique called electrical impedance tomography (EIT). This led to technology that can distinguish various forms of force over a large area without electrical wiring.
The sensing material can distinguish the location and the size of various forms by touch, and thus can be applied to robot skin that can absorb shock as well as serves as a 3D computer interface and tactile sensor. It can withstand strong force such as a hammer strike, and can be re-used even after partial damage to the sensor by filling and hardening the damaged region with composite. Further, the sensor can be made by filling a 3D shape frame with silicon-nanotube composite. Using this technology, new forms of computer interaces can be developed with both curbed and flat surfaces.
This research was conducted through a collaboration between Professor Park, an expert in nanostructures and sensors, and Professor Kim, an expert in bio-robotics. Hence, the technology is likely to be applied in real products.
Professor Kim said, “Flexible tactile sensors can not only be directly adhered to the body, but they also provides information on modified states in multiple dimensions”. He continued, “This technology will contribute to the soft robot industry in the areas of robot skin and the field of wearable medical appliances.”
Professor Park said, “This technology implemented a next-generation user interface through the integration of functional nano-composite material and computer tomography.”
This research was published in Scientific Reports, a sister journal of Nature, online on January 25. This research was conducted as joint research by first author Hyo-Sang Lee, as well as Donguk Kwon and Ji-seung Cho, and was funded by the Ministry of Science, ICT and Future Planning.
(Fiigrue 1: Robotic hand responding to resistance via a connection with the developed tactile sensor)
(Figure 2: Manufacturing process for pressure-resistant composite using silicon rubber and carbon nanotubes)
(Figure 3: Computer interface using pressure-resistant composite)
2017.04.17 View 12551 -
Professor Won Do Heo Receives 'Scientist of the Month Award'
Professor Won Do Heo of the Department of Biological Sciences was selected as the “Scientist of the Month” for April 2017 by the Ministry of Science, ICT and Future Planning and the National Research Foundation of Korea.
Professor Heo was recognized for his suggestion of a new biological research method developing various optogenetics technology which controls cell function by using light. He developed the technology using lasers or LED light, without the need for surgery or drug administration, to identify the cause of diseases related to calcium ions such as Alzheimer’s disease and cancer.
The general technique used in optogenetics, that control cells in the body with light, is the simple activation and deactivation of neurons.
Professor Heo developed a calcium ion channel activation technique (OptoSTIM1) to activate calcium ions in the body using light. He also succeeded in increasing calcium concentrations with light to enhance the memory capacity of mice two-fold.
Using this technology, the desired amount and residing time of calcium ion influx can be controlled by changing light intensity and exposure periods, enabling the function of a single cell or various cells in animal tissue to be controlled remotely.
The experimental results showed that calcium ion influx can be activated in cells that are affected by calcium ions, such as normal cells, cancer cells, and human embryonic stem cells. By controlling calcium concentrations with light, it is possible to control biological phenomena, such as cellular growth, neurotransmitter transmission, muscle contraction, and hormone control.
Professor Heo said, “Until now, it was standard to use optogenetics to activate neurons using channelrhodopsin. The development of this new optogenetic technique using calcium ion channel activation can be applied to various biological studies, as well as become an essential research technique in neurobiology.
The “Scientist of the Month Award” is given every month to one researcher who made significant contributions to the advancement of science and technology with their outstanding research achievement. The awardee will receive prize money of ten million won.
2017.04.07 View 8916 -
Crowdsourcing-Based Global Indoor Positioning System
Research team of Professor Dong-Soo Han of the School of Computing Intelligent Service Lab at KAIST developed a system for providing global indoor localization using Wi-Fi signals. The technology uses numerous smartphones to collect fingerprints of location data and label them automatically, significantly reducing the cost of constructing an indoor localization system while maintaining high accuracy.
The method can be used in any building in the world, provided the floor plan is available and there are Wi-Fi fingerprints to collect. To accurately collect and label the location information of the Wi-Fi fingerprints, the research team analyzed indoor space utilization. This led to technology that classified indoor spaces into places used for stationary tasks (resting spaces) and spaces used to reach said places (transient spaces), and utilized separate algorithms to optimally and automatically collect location labelling data.
Years ago, the team implemented a way to automatically label resting space locations from signals collected in various contexts such as homes, shops, and offices via the users’ home or office address information. The latest method allows for the automatic labelling of transient space locations such as hallways, lobbies, and stairs using unsupervised learning, without any additional location information. Testing in KAIST’s N5 building and the 7th floor of N1 building manifested the technology is capable of accuracy up to three or four meters given enough training data. The accuracy level is comparable to technology using manually-labeled location information.
Google, Microsoft, and other multinational corporations collected tens of thousands of floor plans for their indoor localization projects. Indoor radio map construction was also attempted by the firms but proved more difficult. As a result, existing indoor localization services were often plagued by inaccuracies. In Korea, COEX, Lotte World Tower, and other landmarks provide comparatively accurate indoor localization, but most buildings suffer from the lack of radio maps, preventing indoor localization services.
Professor Han said, “This technology allows the easy deployment of highly accurate indoor localization systems in any building in the world. In the near future, most indoor spaces will be able to provide localization services, just like outdoor spaces.” He further added that smartphone-collected Wi-Fi fingerprints have been unutilized and often discarded, but now they should be treated as invaluable resources, which create a new big data field of Wi-Fi fingerprints. This new indoor navigation technology is likely to be valuable to Google, Apple, or other global firms providing indoor positioning services globally. The technology will also be valuable for helping domestic firms provide positioning services.
Professor Han added that “the new global indoor localization system deployment technology will be added to KAILOS, KAIST’s indoor localization system.” KAILOS was released in 2014 as KAIST’s open platform for indoor localization service, allowing anyone in the world to add floor plans to KAILOS, and collect the building’s Wi-Fi fingerprints for a universal indoor localization service. As localization accuracy improves in indoor environments, despite the absence of GPS signals, applications such as location-based SNS, location-based IoT, and location-based O2O are expected to take off, leading to various improvements in convenience and safety. Integrated indoor-outdoor navigation services are also visible on the horizon, fusing vehicular navigation technology with indoor navigation.
Professor Han’s research was published in IEEE Transactions on Mobile Computing (TMC) in November in 2016.
For more, please visit http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7349230http://ieeexplore.ieee.org/document/7805133/
2017.04.06 View 9990 -
ANSYS Korea Donates Engineering Simulation Software
ANSYS Korea made an in-kind donation of engineering simulation software, Multiphysics Campus Solution, to KAIST on March 24. ANSYS Korea donated 10,000 copies for education and 1,000 copies for research valued at about 4 billion KRW (about 200 billion KRW commercially).
The ANSYS software will benefit the engineering simulation work in nine departments and 60 labs for three years, including the departments of mechanical engineering, aerospace engineering, electrical engineering, civil and environmental engineering, nuclear and quantum engineering, chemical and bimolecular engineering, bio and brain engineering, materials science and engineering, and the Cho Chun Shik Graduate School of Green Transportation.
ANSYS is a global engineering simulation company. It provides ANSYS CAE (Computer Aided Engineering) software products in various industries in the world as well as various support, training, and consulting services. Deemed an exemplary model of university-industry R&D collaboration especially in the Industry 4.0 era, their donation will help create the best engineering education environment possible at KAIST.
ANSYS's multi-physics campus solution is a comprehensive software suite that spans the entire range of physics, providing access to virtually any field of engineering simulation that a design process requires. It expands the fields of fluids, structures, electromagnetics, and semiconductors. Undergraduates use it to learn physics principles and gain hands-on, real-world experience that can lead to a deeper understanding of engineering concepts. Postgraduate researchers apply simulation tools to solve complex engineering problems and produce data for their theses.
"Engineering simulations are playing a stronger role in science and engineering. ANSYS software will help our undergraduates and our researchers learn the principles of physics and deepen their understanding of engineering concepts. We hope this will serve as an instrumental tool for multidisciplinary studies, critical to fostering our students," said President Sung-Chul Shin.
ANSYS Korea CEO Yong-Won Cho added, "We sincerely hope our software will help KAIST students and researchers experience the best engineering education and achieve significant research results."
(Photo caption: President Shin (left) poses with ANSYS Korea CEO Yong-Won Cho at the donation ceremony on March 24 at KAIST)
2017.03.24 View 9273 -
Controlling Turtle Motion with Human Thought
KAIST researchers have developed a technology that can remotely control an animal’s movement with human thought.
In the 2009 blockbuster “Avatar,” a human remotely controls the body of an alien. It does so by injecting human intelligence into a remotely located, biological body. Although still in the realm of science fiction, researchers are nevertheless developing so-called ‘brain-computer interfaces’ (BCIs) following recent advances in electronics and computing. These technologies can ‘read’ and use human thought to control machines, for example, humanoid robots.
New research has demonstrated the possibility of combining a BCI with a device that transmits information from a computer to a brain, or known as a ‘computer-to-brain interface’ (CBI). The combination of these devices could be used to establish a functional link between the brains of different species. Now, researchers from the Korea Advanced Institute of Science and Technology (KAIST) have developed a human-turtle interaction system in which a signal originating from a human brain can affect where a turtle moves.
Unlike previous research that has tried to control animal movement by applying invasive methods, most notably in insects, Professors Phill-Seung Lee of the Mechanical Engineering Department and Sungho Jo of the Computing School propose a conceptual system that can guide an animal’s moving path by controlling its instinctive escape behavior. They chose a turtle because of its cognitive abilities as well as its ability to distinguish different wavelengths of light. Specifically, turtles can recognize a white light source as an open space and so move toward it. They also show specific avoidance behavior to things that might obstruct their view. Turtles also move toward and away from obstacles in their environment in a predictable manner. It was this instinctive, predictable behavior that the researchers induced using the BCI.
The entire human-turtle setup is as follows: A head-mounted display (HMD) is combined with a BCI to immerse the human user in the turtle’s environment. The human operator wears the BCI-HMD system, while the turtle has a 'cyborg system'—consisting of a camera, Wi-Fi transceiver, computer control module, and battery—all mounted on the turtle’s upper shell. Also included on the turtle’s shell is a black semi-cylinder with a slit, which forms the ‘stimulation device.’ This can be turned ±36 degrees via the BCI.
The entire process works like this: the human operator receives images from the camera mounted on the turtle. These real-time video images allow the human operator to decide where the turtle should move. The human provides thought commands that are recognized by the wearable BCI system as electroencephalography (EEG) signals. The BCI can distinguish between three mental states: left, right, and idle. The left and right commands activate the turtle’s stimulation device via Wi-Fi, turning it so that it obstructs the turtle’s view. This invokes its natural instinct to move toward light and change its direction. Finally, the human acquires updated visual feedback from the camera mounted on the shell and in this way continues to remotely navigate the turtle’s trajectory.
The research demonstrates that the animal guiding scheme via BCI can be used in a variety of environments with turtles moving indoors and outdoors on many different surfaces, like gravel and grass, and tackling a range of obstacles, such as shallow water and trees. This technology could be developed to integrate positioning systems and improved augmented and virtual reality techniques, enabling various applications, including devices for military reconnaissance and surveillance.
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Reference: “Remote Navigation of Turtle by Controlling Instinct Behavior via Human Brain-computer Interface,” Journal of Bionic Engineering, July 2016 (DOI: 10.1016/S1672-6529(16)60322-0)
Depiction of Cyborg System
A human controller influences the turtle’s escape behavior by sending left and right signals via Wi-Fi to a control system on the back of the turtle.
2017.02.21 View 15401 -
An Improved Carbon Nanotube Semiconductor
Professor Yang-Kyu Choi and his research team of the School of Electrical Engineering at KAIST collaborated with Professor Sung-Jin Choi of Kookmin University to develop a large-scale carbon nanotube semiconductor by using a 3-D fin-gate structure with carbon nanotubes on its top.
Dong Il Lee, a postdoctoral researcher at KAIST’s Electrical Engineering School, participated in this study as the first author. It was published in ACS Nano on November 10, 2016, and was entitled “Three-Dimensional Fin-Structured Semiconducting Carbon Nanotube Network Transistor.”
A semiconductor made with carbon nanotubes operates faster than a silicon semiconductor and requires less energy, yielding higher performance.
Most electronic equipment and devices, however, use silicon semiconductors because it is difficult to fabricate highly purified and densely packed semiconductors with carbon nanotubes (CNTs).
To date, the performance of CNTs was limited due to their low density. Their purity was also low, so it was impossible to make products that had a constant yield on a large-surface wafer or substrate. These characteristics made the mass production of semiconducting CNTs difficult.
To solve these difficulties, the research team used a 3-D fin-gate to vapor-deposit carbon nanotubes on its top. They developed a semiconductor that had a high current density with a width less than 50 nm.
The three-dimensional fin structure was able to vapor-deposit 600 carbon nanotubes per micrometer. This structure could have 20 times more nanotubes than the two dimensional structure, which could only vapor-deposit thirty in the same 1 micrometer width.
In addition, the research team used semi-conductive carbon nanotubes having a purity rating higher than 99.9% from a previous study to obtain a high yield semiconductor.
The semiconductor from the research group has a high current density even with a width less than 50 μm. The new semiconductor is expected to be five times faster than a silicon-based semiconductor and will require five times less electricity during operation.
Furthermore, the new semiconductor can be made by or will be compatible with the equipment for producing silicon-based semiconductors, so there will be no additional costs.
Researcher Lee said, “As a next generation semiconductor, the carbon nanotube semiconductor will have better performance, and its effectiveness will be higher.” He also added, “Hopefully, the new semiconductor will replace the silicon-based semiconductors in ten years.”
This study received support from the Center for Integrated Smart Sensors funded by the Ministry of Science, ICT & Future Planning of Korea as the Global Frontier Project, and from the CMOS (Complementary Metal-Oxide-Semiconductor) THz Technology Convergence Center of the Pioneer Research Center Program sponsored by the National Research Foundation of Korea.
Picture 1: 3D Diagram of the Carbon Nanotube Electronic Device and Its Scanning Electron Microscope (SEM) Image
Picture 2: 3D Transistor Device on an 8-inch Base and the SEM Image of Its Cross Section
2017.02.16 View 11288 -
Dr.M Drives Smart Healthcare Industry in Partnership with Hancom
President Sung-Mo Kang signed an agreement on January 25 with Hancom Group Chairman Sang Chul Kim to establish a smart healthcare complex in Gapyeong, Kyonggido. With the Gapyeong complex launch, KAIST will come to commercialize Dr. M system along with other Dr.M consortium members as a new growth engine to drive the smart health industry.
Dr. M is a smart healthcare platform developed by the Health Science Research Institute at KAIST in 2014. Dr. M is capable of analyzing and predicting diseases, as well as prescribing, by incorporating ICT and medical technologies. Dr. M applies diverse technologies such as healthcare sensors, wearable devices, low-power communications technology, and cloud and big data collection platforms.
Hancom Group, a leading computer software company in Korea, has participated in the project since 2015 for advancing the smart healthcare market by developing mobile healthcare software program. Hancom joined the Dr.M consortium launched last November.
(President Kang (left) poses with Hancom Chairman Kim after signing.)
2017.02.03 View 6954