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AI to Determine When to Intervene with Your Driving
(Professor Uichin Lee (left) and PhD candidate Auk Kim) Can your AI agent judge when to talk to you while you are driving? According to a KAIST research team, their in-vehicle conservation service technology will judge when it is appropriate to contact you to ensure your safety. Professor Uichin Lee from the Department of Industrial and Systems Engineering at KAIST and his research team have developed AI technology that automatically detects safe moments for AI agents to provide conversation services to drivers. Their research focuses on solving the potential problems of distraction created by in-vehicle conversation services. If an AI agent talks to a driver at an inopportune moment, such as while making a turn, a car accident will be more likely to occur. In-vehicle conversation services need to be convenient as well as safe. However, the cognitive burden of multitasking negatively influences the quality of the service. Users tend to be more distracted during certain traffic conditions. To address this long-standing challenge of the in-vehicle conversation services, the team introduced a composite cognitive model that considers both safe driving and auditory-verbal service performance and used a machine-learning model for all collected data. The combination of these individual measures is able to determine the appropriate moments for conversation and most appropriate types of conversational services. For instance, in the case of delivering simple-context information, such as a weather forecast, driver safety alone would be the most appropriate consideration. Meanwhile, when delivering information that requires a driver response, such as a “Yes” or “No,” the combination of driver safety and auditory-verbal performance should be considered. The research team developed a prototype of an in-vehicle conversation service based on a navigation app that can be used in real driving environments. The app was also connected to the vehicle to collect in-vehicle OBD-II/CAN data, such as the steering wheel angle and brake pedal position, and mobility and environmental data such as the distance between successive cars and traffic flow. Using pseudo-conversation services, the research team collected a real-world driving dataset consisting of 1,388 interactions and sensor data from 29 drivers who interacted with AI conversational agents. Machine learning analysis based on the dataset demonstrated that the opportune moments for driver interruption could be correctly inferred with 87% accuracy. The safety enhancement technology developed by the team is expected to minimize driver distractions caused by in-vehicle conversation services. This technology can be directly applied to current in-vehicle systems that provide conversation services. It can also be extended and applied to the real-time detection of driver distraction problems caused by the use of a smartphone while driving. Professor Lee said, “In the near future, cars will proactively deliver various in-vehicle conversation services. This technology will certainly help vehicles interact with their drivers safely as it can fairly accurately determine when to provide conversation services using only basic sensor data generated by cars.” The researchers presented their findings at the ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp’19) in London, UK. This research was supported in part by Hyundai NGV and by the Next-Generation Information Computing Development Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT. (Figure: Visual description of safe enhancement technology for in-vehicle conversation services)
Education Innovation Day Reaffirms Rewarding of Excellence
Professors Tae-Eog Lee and Il-Chul Moon from the Department of Industrial & Systems Engineering received the Linkgenesis Best Teacher Award and the Soo-Young Lee Teaching Innovation Award on May 10. They were each awarded with 10 million KRW in prize money during the Education Innovation Day ceremony held at the Chung Kun-mo conference hall. The award was endowed by KAIST Alumni Scholarship Chairman Hyung-Kyu Lim and KAIST Foundation Chairman Soo-Young Lee to support the innovation initiative and acknowledge faculty members who made significant contributions to educational innovation and benefited the general public though their innovations. “KAIST’s vision for excellence and commitment to innovation is a game changer. Educational innovation is one of five pillars of Vision 2031, and it is our priority to foster critical and creative thinking students,” said President Sung-Chul Shin at the ceremony. All the awardees made presentation on their innovative projects and shared their ideas on better pedagogical methodology for next generation. Professor Lee, dean of the KAIST Academy and the head of the Center for Excellence in Learning & Teaching was recognized for his contribution to enhancing educational quality through innovative learning and teaching methodology development. He has set up an Education 3.0 Initiative, an online education platform for flipped learning at KAIST. Professor Moon also upgraded the online education platform to the 4.0 version and extended KAIST’s massive online courses through KOOC framework. This open platform offers more than 62 courses, with more than 170 thousand users registered since 2014. Professor Song-Hong Park from the Department of Bio and Brain Engineering and Professor Jae-Woo Lee from the Department of Chemical and Biomolecular Engineering also won the Excellence Award.
LG's Woo Jong Lee Named the Alumnus of College of Engineering
The College of Engineering at KAIST selected Woo Jong Lee, President and Head of the VC Business Division at LG Electronics Inc., as the 2017 Alumnus of the Year for the College of Engineering. ‘Alumnus of the Year’ is an award given to a distinguished alumnus who has contributed to the development of industrial technology or made outstanding academic achievements. Lee graduated from KAIST with the master’s degrees in Industrial Engineering. He also worked at Daewoo Motors as an executive member in the development division. He has been a crucial human resource for LG since he joined the company in 2000. While leading the VC business Division, which was established in 2013, Lee is recognized as a creative engineer as well as a leader in the automotive industry. Focusing on autonomous driving and eco-friendliness, he has been engaged in the production of major projects from the beginning to the end. Since 2014, outstanding alumni whose achievements have represented KAIST at the highest level have received the award. The first recipient was Tae-Kyung Yoo, an executive at Lumens Co., Ltd., and the second recipient was Jung-Ju Kim, the founder of NXC. In 2016, the award was not given because an appropriate candidate could not be identified. The award was held in the Industrial Engineering & Management Building (E2) on November 8. Faculty members including the dean of the College of Engineering Jong-Hwan Kim, the vice dean Hyochoong Bang, the head of Industrial & Systems Engineering Taesik Lee, and the dean of the KAIST Academy Tae-Eog Lee attended the ceremony. After the ceremony, Lee delivered a lecture on ‘Auto-components Business of LG Electronics’ to KAIST students.
Prof. Woo Chang Kim Is Appointed as Managing Editor of Quantitative Finance
Professor Woo Chang Kim of the Industrial and Systems Engineering Department has been elected as the Managing Editor of Quantitative Finance. Founded in 2001, Quantitative Finance has been an internationally-acclaimed peer-reviewed journal in the field of financial engineering, along with Mathematical Finance. This is the first time for a Korean researcher to be named for the editorial board, which consists of eminent scholars from around the world, including four Nobel laureates. Professor Kim’s expertise lies in financial optimization, portfolio management, and asset liability management. In recent years, he has focused his research on robo-advisors in the area of FinTech, and for this contribution, he was appointed as managing editor. Professor Kim also served as an editor, deputy editor, and a member of the editorial boards for various journals, including the Journal of Portfolio Management and Optimization and Engineering. Currently, he serves as a member of the Korean National Pension Fund’s Electoral Commission, an adviser to Samsung Asset Management Co., Ltd., and the director of the KAIST Asset Management for Future Technology Research Center that was opened in October 2016.
Professor Young Jae Jang Receives the Grant Award from Mathworks
Professor Young Jae Jang of KAIST’s Industrial and Systems Engineering Department won the Grant Award from Mathworks, Inc., an American developer of mathematical computing software. Headquartered in Massachusetts in the United States, Mathworks has been known for its MATLAB software that is used by many engineers and scientists around the world for algorithm development, data analysis, visualization, and numeric computation. Winners of the Grant Award are selected from proposals submitted by educational institutions in 18 different countries based on their innovative lab curricula and future potential for innovation and creativity. Award winners receive a cash grant of up to USD 40,000 as well as various other forms of support including software and technical guidance for creating a course. Professor Jang has researched combining the concept of industrial engineering education with Lego principles since 2014. He developed Lego-based experimental equipment and utilized it to teach students about difficult ideas, for example, big data and manufacturing technologies needed for Industry 4.0, such as automation, cyber-physical systems, the Internet of Things, and cloud computing. He created an innovative teaching environment where students learn engineering concepts and then conduct experiments on their own to understand the new paradigm of industrial systems. Lego-based education allows students to personalize their learning process, shifting lecture-centered approaches toward learner-oriented approaches. Students apply theories to operate tools and equipment made with Lego, identify problems, and find solutions. In such processes, they can understand the content of their study more easily and efficiently and become more motivated. Professor Jang’s research has attracted a great deal of interest overseas, and he is frequently invited to international conferences as a keynote speaker. Picture: Lego-based Learning Model of Experiment Equipment Developed by Professor Young Jae Jang
Workshop on Techniques in Prediction Analysis for the Industry
There has been growing interest in the value and the application of “big data” in recent years. To meet this interest, a workshop was held to discuss the possibility and the future of prediction analysis, which is the next big step in data mining after big data. On February 25 in COEX, Seoul, the Department of Knowledge Service Engineering at KAIST held the 4th knowledge service workshop on “Techniques in Prediction Analysis for the Industry.” Predication analysis is a technique that can predict the future based on the understanding of the past and the present through analyzing “big data.” If “big data” is fuel in figurative sense, the prediction analysis serves as the engine. The Department seeks to help those companies interested in data mining by introducing fundamentals and some application examples to the executives of companies who are interested in implementation of the technique. The lecture was delivered by six professors from the Department of Knowledge Service Engineering and the Department of Industrial and Systems Engineering at KAIST. Thomas Miller, the author of Modeling Techniques in Predictive Analytics, covered the contents of his book at the event. Professor Moon-Yong Yi, Chair of the Department of Knowledge Service Engineering, said, “This conference will be important to companies that are considering the implementation of the prediction analysis as well as to students who are interested in the field.”
Professor Tae-Eog Lee Receives December's Scientist of the Month Award by the Korean Government
Professor Tae-Eog Lee of the Industrial and Systems Engineering at KAIST received the Scientist of the Month Award for December 2015. The award is sponsored by the Ministry of Science, ICT and Future Planning of Korea, which was hosted by the National Research Foundation of Korea. The award recognizes Professor Lee’s efforts to advance the field of semiconductor device fabrication processing. This includes the development of the most efficient scheduling and controlling of cluster tools. He also created mathematical solutions to optimize the complicated cycle time of cluster tools in semiconductor manufacturing and the process of robot task workload. Professor Lee contributed to the formation of various discrete event systems and automation systems based on his mathematical theories and solutions and advanced a scheduling technology for the automation of semiconductor production. He has published 18 research papers in the past three years and has pioneered to develop Korean tool schedulers through the private sector-university cooperation.
Professor Sunyoung Park Receives an Award from the Minister of Strategy and Finance of Korea
Professor Sunyoung Park, the Department of Industrial and Systems Engineering at KAIST, received an award from the Deputy Prime Minister and the Minister of Strategy and Finance of the Republic of Korea on December 31, 2014 in recognition of her contribution to the Korean economy. Known as an expert in macroeconomics and finance in Korea, Professor Park has conducted research in macroeconomic policies and capital flows. Recently, Professor Park attended the 18th ASEAN+3 (Korea, Japan, and China) Finance and Central Bank Deputies’ Meeting held in Tokyo, Japan, on December 3-5, 2014 and presented a paper on the economic policies of Asian and G20 nations, receiving positive responses from the participants. At the award ceremony, she said, “With continuous support from the government and collaborations with regional partners, I hope that my research will help Korea and the Asian economies grow further.”
"Modeling and Simulation of Discrete Event Systems" by Professor Byoung-Kyu Choi, Selected as Textbook by UC Berkeley
The book, "Modeling and Simulation of Discrete Event Systems," written by Professor Byoung-Kyu Choi from the Department of Industrial and Systems Engineering at KAIST, was selected as a textbook for the Department of Industrial Engineering at the University of California in Berkeley (UC Berkeley).It was published based on professor Choi’s lecture notes and has been used as a textbook for both undergraduate and graduate students at KAIST.Professor Lee W. Schruben from the Department of Industrial Engineering at UC Berkeley said, “It was selected as a textbook for the discrete event simulation course since it shows outstanding educational methodology as well as academic values.”Professor Choi said, “This is the first case of an American university choosing a Korean industrial engineering publication as a textbook. We should be proud of the high evaluation of KAIST’s Industrial and Systems Engineering Department.” The School of Engineering in UC Berkeley was ranked third in the Times Higher Education World University Rankings in 2013.
First Prize in the 2013 International Military Science and Technology Contest
Professor James R. Morrison and his students of the Industrial and Systems Engineering Department at KAIST were awarded the first prize in the 2013 International Military Science and Technology Contest organized by the Defense Acquisition Program Administration held in COEX from July 11 to 14. The research group, Byungduk Song (Ph.D candidate), Jonghoe Kim (Ph.D candidate), Hyolin Park (MS candidate) and Professor James R. Morrison, received the first prize with their paper entitled “Automated and persistent UAV system for a complementary method for border patrol and target tracking.” The Defense Acquisition Program Administration is the host of the annual contest which aims to contribute to the future of the defense industry and to expand technology exchange between private institutes and the military through the coordination of defense technology and advanced technology from industrial and educational cooperation.Professor Morrison’s team received the honor of the first-place prize out of 56 competitors from within Korea and 7 from overseas in the field of Synthetic New Technology/Academic Thesis.
KAIST Opens M&S Technology Research Center
KAIST held an opening ceremony for a new defense research center focusing on modelling & simulation located at its main campus in Daejeon on Thursday (June 19). The opening of the M&S Technology Research Center is aimed at developing technologies and processes to test, practice and operate newly-developed precision and micro weapons systems in virtual space. The center will be supported by two state-run defense agencies, the Defense Acquisition Program Administration and the Korean Agency for Defense Development. The new research center is expected to receive a total of 11.5 billion won (US$11.2 million) research grants from the state for the next eight years until 2016. The center will be involved in the development of sophisticated, complex and inter-related weapons system and training research personnel in the specialized area. The research center will undertake a total of 21 specific projects in collaboration with seven other universities in Korea. Also joining the projects are such overseas institutions as Georgia Institute of Technology and the U.S. Naval Post-Graduate School, and private defense solution providers including Posdata, Samsung Thales and LIG Nex 1. The opening of the research center comes at a time when modelling and simulation gain growing importance as today"s armies employ more sophisticated, complex and inter-related. weapons systems and equipment than ever before. Tae-Uk Lee, director of the research center said: "The opening of the center will spur development of operational technologies of precision and micro weapons system on our own, departing from dependence on advanced countries."
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