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Scientists Develop Wireless Networks that Allow Brain Circuits to Be Controlled Remotely through the Internet
Wireless implantable devices and IoT could manipulate the brains of animals from anywhere around the world due to their minimalistic hardware, low setup cost, ease of use, and customizable versatility A new study shows that researchers can remotely control the brain circuits of numerous animals simultaneously and independently through the internet. The scientists believe this newly developed technology can speed up brain research and various neuroscience studies to uncover basic brain functions as well as the underpinnings of various neuropsychiatric and neurological disorders. A multidisciplinary team of researchers at KAIST, Washington University in St. Louis, and the University of Colorado, Boulder, created a wireless ecosystem with its own wireless implantable devices and Internet of Things (IoT) infrastructure to enable high-throughput neuroscience experiments over the internet. This innovative technology could enable scientists to manipulate the brains of animals from anywhere around the world. The study was published in the journal Nature Biomedical Engineering on November 25 “This novel technology is highly versatile and adaptive. It can remotely control numerous neural implants and laboratory tools in real-time or in a scheduled way without direct human interactions,” said Professor Jae-Woong Jeong of the School of Electrical Engineering at KAIST and a senior author of the study. “These wireless neural devices and equipment integrated with IoT technology have enormous potential for science and medicine.” The wireless ecosystem only requires a mini-computer that can be purchased for under $45, which connects to the internet and communicates with wireless multifunctional brain probes or other types of conventional laboratory equipment using IoT control modules. By optimally integrating the versatility and modular construction of both unique IoT hardware and software within a single ecosystem, this wireless technology offers new applications that have not been demonstrated before by a single standalone technology. This includes, but is not limited to minimalistic hardware, global remote access, selective and scheduled experiments, customizable automation, and high-throughput scalability. “As long as researchers have internet access, they are able to trigger, customize, stop, validate, and store the outcomes of large experiments at any time and from anywhere in the world. They can remotely perform large-scale neuroscience experiments in animals deployed in multiple countries,” said one of the lead authors, Dr. Raza Qazi, a researcher with KAIST and the University of Colorado, Boulder. “The low cost of this system allows it to be easily adopted and can further fuel innovation across many laboratories,” Dr. Qazi added. One of the significant advantages of this IoT neurotechnology is its ability to be mass deployed across the globe due to its minimalistic hardware, low setup cost, ease of use, and customizable versatility. Scientists across the world can quickly implement this technology within their existing laboratories with minimal budget concerns to achieve globally remote access, scalable experimental automation, or both, thus potentially reducing the time needed to unravel various neuroscientific challenges such as those associated with intractable neurological conditions. Another senior author on the study, Professor Jordan McCall from the Department of Anesthesiology and Center for Clinical Pharmacology at Washington University in St. Louis, said this technology has the potential to change how basic neuroscience studies are performed. “One of the biggest limitations when trying to understand how the mammalian brain works is that we have to study these functions in unnatural conditions. This technology brings us one step closer to performing important studies without direct human interaction with the study subjects.” The ability to remotely schedule experiments moves toward automating these types of experiments. Dr. Kyle Parker, an instructor at Washington University in St. Louis and another lead author on the study added, “This experimental automation can potentially help us reduce the number of animals used in biomedical research by reducing the variability introduced by various experimenters. This is especially important given our moral imperative to seek research designs that enable this reduction.” The researchers believe this wireless technology may open new opportunities for many applications including brain research, pharmaceuticals, and telemedicine to treat diseases in the brain and other organs remotely. This remote automation technology could become even more valuable when many labs need to shut down, such as during the height of the COVID-19 pandemic. This work was supported by grants from the KAIST Global Singularity Research Program, the National Research Foundation of Korea, the United States National Institute of Health, and Oak Ridge Associated Universities. -PublicationRaza Qazi, Kyle Parker, Choong Yeon Kim, Jordan McCall, Jae-Woong Jeong et al. “Scalable and modular wireless-network infrastructure for large-scale behavioral neuroscience,” Nature Biomedical Engineering, November 25 2021 (doi.org/10.1038/s41551-021-00814-w) -ProfileProfessor Jae-Woong JeongBio-Integrated Electronics and Systems LabSchool of Electrical EngineeringKAIST
KAIST Develops IoT Platform for Food Safety
A research team led by the KAIST Auto-ID Labs developed a GS1 international standard-based IoTs infrastructure platform dubbed Oliot (Open Language of Internet of Things). This platform will be applied to Wanju Local Food, the nation’s largest cooperative, and will be in operation from April 5. A total of eleven organizations participated in the development of Oliot, with KAIST as the center. This consortium is based on the GS1 international standard-based Oliot platform, which allows collecting and sharing data along the entire process of agrifood from production to processing, distribution, and consumption. It aims at increasing farm incomes and establishing a global ecosystem of domestic agriculture and stockbreeding that provides safe food. Wanju Local Food is now the world’s first local food co-op with a traceability system from the initial stage of production planning to end sales based on GS1 international standards, which will ensure food safety. KAIST has been sharing Oliot data in order to apply it to industries around the world. As of April 2018, approximately 900 enterprises and developers from more than 100 countries have downloaded it. Professor Daeyoung Kim from the School of Computing, who is also Research Director of Auto-ID Labs said, “We are planning to disseminate Oliot to local food cooperatives throughout the nation. We will also cooperate with other countries, like China, Holland, and Hong Kong to create a better ecosystem for the global food industry. “We are currently collaborating with related business to converge Oliot with AI or blockchain technology that can be applied to various services, such as healthcare and smart factories. Its tangible outcome will be revealed soon,” he added. Auto-ID Labs are a global research consortium of six academic institutions that research and develop new technologies for advancing global commerce, partnering with GS1 (Global Standard 1), a non-profit organization that established standards for global commerce such as introducing barcodes to the retail industry. The Auto-ID Labs include MIT, University of Cambridge, Keio University, Fudan University, ETH Zurich/University of St. Gallen, and KAIST. The consortium was supported by the Ministry of Science and ICT as well as the Institute for Information and Communications Technology Promotion for three years from 2015. The launching of Oliot at Wanju Local Food will be held on April 5.
Improving Silver Nanowires for FTCEs with Flash Light Interactions
Flexible transparent conducting electrodes (FTCEs) are an essential element of flexible optoelectronics for next-generation wearable displays, augmented reality (AR), and the Internet of Things (IoTs). Silver nanowires (Ag NWs) have received a great deal of attention as future FTCEs due to their great flexibility, material stability, and large-scale productivity. Despite these advantages, Ag NWs have drawbacks such as high wire-to-wire contact resistance and poor adhesion to substrates, resulting in severe power consumption and the delamination of FTCEs. A research team led by Professor Keon Jae Lee of the Materials Science and Engineering Department at KAIST and Dr. Hong-Jin Park from BSP Inc., has developed high-performance Ag NWs (sheet resistance ~ 5 Ω/sq, transmittance 90 % at λ = 550 nm) with strong adhesion on plastic (interfacial energy of 30.7 J∙m-2) using flash light-material interactions. The broad ultraviolet (UV) spectrum of a flash light enables the localized heating at the junctions of nanowires (NWs), which results in the fast and complete welding of Ag NWs. Consequently, the Ag NWs demonstrate six times higher conductivity than that of the pristine NWs. In addition, the near-infrared (NIR) of the flash lamp melted the interface between the Ag NWs and a polyethylene terephthalate (PET) substrate, dramatically enhancing the adhesion force of the Ag NWs to the PET by 310 %. Professor Lee said, “Light interaction with nanomaterials is an important field for future flexible electronics since it can overcome thermal limit of plastics, and we are currently expanding our research into light-inorganic interactions.” Meanwhile, BSP Inc., a laser manufacturing company and a collaborator of this work, has launched new flash lamp equipment for flexible applications based on the Professor Lee’s research. The results of this work entitled “Flash-Induced Self-Limited Plasmonic Welding of Ag NW Network for Transparent Flexible Energy Harvester (DOI: 10.1002/adma.201603473)” were published in the February 2, 2017 issue of Advanced Materials as the cover article. Professor Lee also contributed an invited review in the same journal of the April 3, 2017 online issue, “Laser-Material Interactions for Flexible Applications (DOI:10.1002/adma.201606586),” overviewing the recent advances in light interactions with flexible nanomaterials. References  Advanced Materials, February 2, 2017, Flash-Induced Self-Limited Plasmonic Welding of Ag NW network for Transparent Flexible Energy Harvester http://onlinelibrary.wiley.com/doi/10.1002/adma.201603473/epdf  Advanced Materials, April 3, 2017, Laser-Material Interactions for Flexible Applications http://onlinelibrary.wiley.com/doi/10.1002/adma.201606586/abstract For further inquiries on research: email@example.com (Keon Jae Lee), firstname.lastname@example.org (Hong-Jin Park) Picture 1: Artistic Rendtition of Light Interaction with Nanomaterials (This image shows flash-induced plasmonic interactions with nanowires to improve silver nanowires (Ag NWs).) Picture 2: Ag NW/PET Film (This picture shows the Ag NWs on a polyethylene terephthalate (PET) film after the flash-induced plasmonic thermal process.)
Professor Dongman Lee Wins the 2016 Korea Internet Award
Professor Dongman Lee of KAIST’s School of Computing received the 11th Korea Internet Award in the category of personal achievement on December 13 at the Creative Economy and Innovation Center in Gyeonggi province. Hosted by the Ministry of Science, ICT and Future Planning of Korea, the Internet Award recognizes leaders in the Internet industry and their contributions. Since 2010, Professor Lee has conducted research on the Internet of Things (IoT) platforms, resulting in the publication of five research papers in Science Citation Index (SCI) journals, ten papers in Korean journals, 30 best papers nominations at international conferences, and the registration of eleven patents. He has also worked on the creation of an IoT ecosystem through his research on object interworking platforms that can provide diverse user-customized services in the IoT environment. His research team built a test bed for applicable IoT platforms on the 8th floor of the IT Convergence Center on campus to implement experiments and collect various data, thereby creating a foundation to carry out research projects in this field. Professor Lee has helped the advancement of an Internet governance system in Korea by researching Internet governance policies, holding important posts in related academic societies including the Chairman of the Korea Internet Governance Alliance (KIGA) Council, and hosting major conferences such as the Asia Pacific Regional Internet Governance Forum (APrIGF).
KAIST and Oberthur Technologies Agree for Research and Development in Mobile Security
Professor Kwangjo Kim of the School of Computing at KAIST has signed a research and development (R&D) agreement with Marc Bertin, the Chief Technology Officer of Oberthur Technologies (OT), a French security solutions firm, on September 18, 2015 in Paris. Under the agreement, KAIST and OT will conduct joint research on mobile security as well as implement an internship program for KAIST graduate students to work either at OT’s R&D center in Korea or in France. OT has established a research center in Korea in July 2014, which was the fourth of its research centers in Asia. Professor Kim said, “Our goal at KAIST is to cultivate top-level security experts in security technologies. By partnering with such a leader in security technologies as OT, we know that we will both help shape tomorrow’s security solution for the IoT (Internet of Things) space.” In the picture, Professor Kwangjo Kim (left) shakes hands with Marc Bertin, the Chief Technology Officer of Oberthur Technologies (right), after the signing of a memorandum of understanding.
KAIST Researchers Develops Hyper-Stretchable Elastic-Composite Energy Harvester
A research team led by Professor Keon Jae Lee (http://fand.kaist.ac.kr) of the Department of Materials Science and Engineering at KAIST has developed a hyper-stretchable elastic-composite energy harvesting device called a nanogenerator. Flexible electronics have come into the market and are enabling new technologies like flexible displays in mobile phone, wearable electronics, and the Internet of Things (IoTs). However, is the degree of flexibility enough for most applications? For many flexible devices, elasticity is a very important issue. For example, wearable/biomedical devices and electronic skins (e-skins) should stretch to conform to arbitrarily curved surfaces and moving body parts such as joints, diaphragms, and tendons. They must be able to withstand the repeated and prolonged mechanical stresses of stretching. In particular, the development of elastic energy devices is regarded as critical to establish power supplies in stretchable applications. Although several researchers have explored diverse stretchable electronics, due to the absence of the appropriate device structures and correspondingly electrodes, researchers have not developed ultra-stretchable and fully-reversible energy conversion devices properly. Recently, researchers from KAIST and Seoul National University (SNU) have collaborated and demonstrated a facile methodology to obtain a high-performance and hyper-stretchable elastic-composite generator (SEG) using very long silver nanowire-based stretchable electrodes. Their stretchable piezoelectric generator can harvest mechanical energy to produce high power output (~4 V) with large elasticity (~250%) and excellent durability (over 104 cycles). These noteworthy results were achieved by the non-destructive stress- relaxation ability of the unique electrodes as well as the good piezoelectricity of the device components. The new SEG can be applied to a wide-variety of wearable energy-harvesters to transduce biomechanical-stretching energy from the body (or machines) to electrical energy. Professor Lee said, “This exciting approach introduces an ultra-stretchable piezoelectric generator. It can open avenues for power supplies in universal wearable and biomedical applications as well as self-powered ultra-stretchable electronics.” This result was published online in the March issue of Advanced Materials, which is entitled “A Hyper-Stretchable Elastic-Composite Energy Harvester.” YouTube Link: “A hyper-stretchable energy harvester” https://www.youtube.com/watch?v=EBByFvPVRiU&feature=youtu.be Figure: Top row: Schematics of hyper-stretchable elastic-composite generator enabled by very long silver nanowire-based stretchable electrodes. Bottom row: The SEG energy harvester stretched by human hands over 200% strain.
KAIST Introduces New UI for K-Glass 2
A newly developed user interface, the “i-Mouse,” in the K-Glass 2 tracks the user’s gaze and connects the device to the Internet through blinking eyes such as winks. This low-power interface provides smart glasses with an excellent user experience, with a long-lasting battery and augmented reality. Smart glasses are wearable computers that will likely lead to the growth of the Internet of Things. Currently available smart glasses, however, reveal a set of problems for commercialization, such as short battery life and low energy efficiency. In addition, glasses that use voice commands have raised the issue of privacy concerns. A research team led by Professor Hoi-Jun Yoo of the Electrical Engineering Department at the Korea Advanced Institute of Science and Technology (KAIST) has recently developed an upgraded model of the K-Glass (http://www.eurekalert.org/pub_releases/2014-02/tkai-kdl021714.php) called “K-Glass 2.” K-Glass 2 detects users’ eye movements to point the cursor to recognize computer icons or objects in the Internet, and uses winks for commands. The researchers call this interface the “i-Mouse,” which removes the need to use hands or voice to control a mouse or touchpad. Like its predecessor, K-Glass 2 also employs augmented reality, displaying in real time the relevant, complementary information in the form of text, 3D graphics, images, and audio over the target objects selected by users. The research results were presented, and K-Glass 2’s successful operation was demonstrated on-site to the 2015 Institute of Electrical and Electronics Engineers (IEEE) International Solid-State Circuits Conference (ISSCC) held on February 23-25, 2015 in San Francisco. The title of the paper was “A 2.71nJ/Pixel 3D-Stacked Gaze-Activated Object Recognition System for Low-power Mobile HMD Applications” (http://ieeexplore.ieee.org/Xplore/home.jsp). The i-Mouse is a new user interface for smart glasses in which the gaze-image sensor (GIS) and object recognition processor (ORP) are stacked vertically to form a small chip. When three infrared LEDs (light-emitting diodes) built into the K-Glass 2 are projected into the user’s eyes, GIS recognizes their focal point and estimates the possible locations of the gaze as the user glances over the display screen. Then the electro-oculography sensor embedded on the nose pads reads the user’s eyelid movements, for example, winks, to click the selection. It is worth noting that the ORP is wired to perform only within the selected region of interest (ROI) by users. This results in a significant saving of battery life. Compared to the previous ORP chips, this chip uses 3.4 times less power, consuming on average 75 milliwatts (mW), thereby helping K-Glass 2 to run for almost 24 hours on a single charge. Professor Yoo said, “The smart glass industry will surely grow as we see the Internet of Things becomes commonplace in the future. In order to expedite the commercial use of smart glasses, improving the user interface (UI) and the user experience (UX) are just as important as the development of compact-size, low-power wearable platforms with high energy efficiency. We have demonstrated such advancement through our K-Glass 2. Using the i-Mouse, K-Glass 2 can provide complicated augmented reality with low power through eye clicking.” Professor Yoo and his doctoral student, Injoon Hong, conducted this research under the sponsorship of the Brain-mimicking Artificial Intelligence Many-core Processor project by the Ministry of Science, ICT and Future Planning in the Republic of Korea. Youtube Link: https://www.youtube.com/watchv=JaYtYK9E7p0&list=PLXmuftxI6pTW2jdIf69teY7QDXdI3Ougr Picture 1: K-Glass 2 K-Glass 2 can detect eye movements and click computer icons via users’ winking. Picture 2: Object Recognition Processor Chip This picture shows a gaze-activated object-recognition system. Picture 3: Augmented Reality Integrated into K-Glass 2 Users receive additional visual information overlaid on the objects they select.
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