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Mosquito control is important as mosquitoes are extremely harmful pests that spread various infectious diseases. In this research, we present the preliminary results of an automated system that detects the presence of mosquitoes via image processing using multiple deep learning networks. The Fully Convolutional Network (FCN) and neural network-based regression demonstrated an accuracy of 84%. Meanwhile, the single image classifier demonstrated an accuracy of only 52%. The overall processing time also decreased from 4.64 to 2.47 s compared to the conventional classifying network. After detection, a larvicide made from toxic protein crystals of the Bacillus thuringiensis serotype israelensis bacteria was injected into static water to stop the proliferation of mosquitoes. This system demonstrates a higher efficiency than hunting adult mosquitos while avoiding damage to other insects.
Kyukwang Kim; Jieum Hyun; Hyeongkeun Kim; Hwijoon Lim; Hyun Myung. A Deep Learning-Based Automatic Mosquito Sensing and Control System for Urban Mosquito Habitats. Sensors 2019, 19, 2785 .
AMA StyleKyukwang Kim, Jieum Hyun, Hyeongkeun Kim, Hwijoon Lim, Hyun Myung. A Deep Learning-Based Automatic Mosquito Sensing and Control System for Urban Mosquito Habitats. Sensors. 2019; 19 (12):2785.
Chicago/Turabian StyleKyukwang Kim; Jieum Hyun; Hyeongkeun Kim; Hwijoon Lim; Hyun Myung. 2019. "A Deep Learning-Based Automatic Mosquito Sensing and Control System for Urban Mosquito Habitats." Sensors 19, no. 12: 2785.
Here, MineLoC is described as a pipeline developed to generate 3D printable models of master templates for Lab-on-a-Chip (LoC) by using a popular multi-player sandbox game “Minecraft”. The user can draw a simple diagram describing the channels and chambers of the Lab-on-a-Chip devices with pre-registered color codes which indicate the height of the generated structure. MineLoC converts the diagram into large chunks of blocks (equal sized cube units composing every object in the game) in the game world. The user and co-workers can simultaneously access the game and edit, modify, or review, which is a feature not generally supported by conventional design software. Once the review is complete, the resultant structure can be exported into a stereolithography (STL) file which can be used in additive manufacturing. Then, the Lab-on-a-Chip device can be fabricated by the standard protocol to produce a Lab-on-a-Chip. The simple polydimethylsiloxane (PDMS) device for the bacterial growth measurement used in the previous research was copied by the proposed method. The error calculation by a 3D model comparison showed an accuracy of 86%. It is anticipated that this work will facilitate more use of 3D printer-based Lab-on-a-Chip fabrication, which greatly lowers the entry barrier in the field of Lab-on-a-Chip research.
Kyukwang Kim; Hyeongkeun Kim; Seunggyu Kim; Jessie S. Jeon. MineLoC: A Rapid Production of Lab-on-a-Chip Biosensors Using 3D Printer and the Sandbox Game, Minecraft. Sensors 2018, 18, 1896 .
AMA StyleKyukwang Kim, Hyeongkeun Kim, Seunggyu Kim, Jessie S. Jeon. MineLoC: A Rapid Production of Lab-on-a-Chip Biosensors Using 3D Printer and the Sandbox Game, Minecraft. Sensors. 2018; 18 (6):1896.
Chicago/Turabian StyleKyukwang Kim; Hyeongkeun Kim; Seunggyu Kim; Jessie S. Jeon. 2018. "MineLoC: A Rapid Production of Lab-on-a-Chip Biosensors Using 3D Printer and the Sandbox Game, Minecraft." Sensors 18, no. 6: 1896.
There are two major challenges in universal stair climbing: stairs without riser and with nose, and stairs with various dimensions. In this study, we proposed an indoor robot platform to overcome these challenges. First, to create an angle of attack, the Tusk, a passive, protruded element, was added in front of a 4-wheel robot. For design analysis and optimization of the Tusk, a simplified model of universal stair climbing was applied. To accommodate stairs without risers and with nose, the assistive track mechanism was applied. To climb the stair regardless of its dimension, length-adjustable mechanism was added. The results indicated the robot with these mechanisms successfully overcame each challenge. The performance was better than most conventional stair-climbing robots in terms of the range of compatible stairs. We expect these new approaches to expand the range of indoor robot operation with minimal cost.
JongHun Choe; Ukjin Kwon; Moses C. Nah; Hyeongkeun Kim. Design analysis of TuskBot: Universal stair climbing 4-wheel indoor robot. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2017, 6908 -6914.
AMA StyleJongHun Choe, Ukjin Kwon, Moses C. Nah, Hyeongkeun Kim. Design analysis of TuskBot: Universal stair climbing 4-wheel indoor robot. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2017; ():6908-6914.
Chicago/Turabian StyleJongHun Choe; Ukjin Kwon; Moses C. Nah; Hyeongkeun Kim. 2017. "Design analysis of TuskBot: Universal stair climbing 4-wheel indoor robot." 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , no. : 6908-6914.
In this paper, we present `Tuskbot', a wheel-based robot with a novel structure called `Tusk', passive and protruded elements in the front part of the robot, which can create an angle-of-attack when it climbs stairs. The robot can easily overcome stairs with the help of Tusk, which does not require additional active mechanisms. We formulated a simplified mathematical model of the structure based on the geometrical relationship between the wheels and the stairs in each phase during the stair-climb. To test the model and Tusk structure, we calculated the length of each link and the angle of Tusk from the dimension of stair and radius of wheels, and built the robot accordingly. The results demonstrate the validity of the model and the structure.
JongHun Choe; Moses C Nah; Hyeongkeun Kim; Ukjin Kwon. ‘TuskBot’: Design of the mobile stair climbing 2 by 2 wheels robot platform with novel passive structure ‘Tusk’. 2017 3rd International Conference on Control, Automation and Robotics (ICCAR) 2017, 217 -220.
AMA StyleJongHun Choe, Moses C Nah, Hyeongkeun Kim, Ukjin Kwon. ‘TuskBot’: Design of the mobile stair climbing 2 by 2 wheels robot platform with novel passive structure ‘Tusk’. 2017 3rd International Conference on Control, Automation and Robotics (ICCAR). 2017; ():217-220.
Chicago/Turabian StyleJongHun Choe; Moses C Nah; Hyeongkeun Kim; Ukjin Kwon. 2017. "‘TuskBot’: Design of the mobile stair climbing 2 by 2 wheels robot platform with novel passive structure ‘Tusk’." 2017 3rd International Conference on Control, Automation and Robotics (ICCAR) , no. : 217-220.
The detection of bacterial growth in liquid media is an essential process in determining antibiotic susceptibility or the level of bacterial presence for clinical or research purposes. We have developed a system, which enables simplified and automated detection using a camera and a striped pattern marker. The quantification of bacterial growth is possible as the bacterial growth in the culturing vessel blurs the marker image, which is placed on the back of the vessel, and the blurring results in a decrease in the high-frequency spectrum region of the marker image. The experiment results show that the FFT (fast Fourier transform)-based growth detection method is robust to the variations in the type of bacterial carrier and vessels ranging from the culture tubes to the microfluidic devices. Moreover, the automated incubator and image acquisition system are developed to be used as a comprehensive in situ detection system. We expect that this result can be applied in the automation of biological experiments, such as the Antibiotics Susceptibility Test or toxicity measurement. Furthermore, the simple framework of the proposed growth measurement method may be further utilized as an effective and convenient method for building point-of-care devices for developing countries.
Kyukwang Kim; Duckyu Choi; Hwijoon Lim; Hyeongkeun Kim; Jessie S. Jeon. Vision Marker-Based In Situ Examination of Bacterial Growth in Liquid Culture Media. Sensors 2016, 16, 2179 .
AMA StyleKyukwang Kim, Duckyu Choi, Hwijoon Lim, Hyeongkeun Kim, Jessie S. Jeon. Vision Marker-Based In Situ Examination of Bacterial Growth in Liquid Culture Media. Sensors. 2016; 16 (12):2179.
Chicago/Turabian StyleKyukwang Kim; Duckyu Choi; Hwijoon Lim; Hyeongkeun Kim; Jessie S. Jeon. 2016. "Vision Marker-Based In Situ Examination of Bacterial Growth in Liquid Culture Media." Sensors 16, no. 12: 2179.
In this research an open source, low power sensor node was developed to check the growth of mycobacteria in a culture bottle with a nitrate reductase assay method for a drug susceptibility test. The sensor system reports the temperature and color sensor output frequency change of the culture bottle when the device is triggered. After the culture process is finished, a nitrite ion detecting solution based on a commercial nitrite ion detection kit is injected into the culture bottle by a syringe pump to check bacterial growth by the formation of a pigment by the reaction between the solution and the color sensor. Sensor status and NRA results are broadcasted via a Bluetooth low energy beacon. An Android application was developed to collect the broadcasted data, classify the status of cultured samples from multiple devices, and visualize the data for the end users, circumventing the need to examine each culture bottle manually during a long culture period. The authors expect that usage of the developed sensor will decrease the cost and required labor for handling large amounts of patient samples in local health centers in developing countries. All 3D-printerable hardware parts, a circuit diagram, and software are available online.
Kyukwang Kim; Hyeong Keun Kim; Hwijoon Lim; Hyun Myung. A Low Cost/Low Power Open Source Sensor System for Automated Tuberculosis Drug Susceptibility Testing. Sensors 2016, 16, 942 .
AMA StyleKyukwang Kim, Hyeong Keun Kim, Hwijoon Lim, Hyun Myung. A Low Cost/Low Power Open Source Sensor System for Automated Tuberculosis Drug Susceptibility Testing. Sensors. 2016; 16 (6):942.
Chicago/Turabian StyleKyukwang Kim; Hyeong Keun Kim; Hwijoon Lim; Hyun Myung. 2016. "A Low Cost/Low Power Open Source Sensor System for Automated Tuberculosis Drug Susceptibility Testing." Sensors 16, no. 6: 942.
Joo-Young Kim; Soo-In Kim; Kyu-Young Lee; Hyeong-Keun Kim; Jae-Hyeok Jun; Yun-Jong Jeong; Mu-Chan Kim; Jong-Rim Lee; Chang-Woo Lee. Nano-size Study of Surface-modified Ag Anode for OLEDs. Journal of the Korean Vacuum Society 2012, 21, 12 -16.
AMA StyleJoo-Young Kim, Soo-In Kim, Kyu-Young Lee, Hyeong-Keun Kim, Jae-Hyeok Jun, Yun-Jong Jeong, Mu-Chan Kim, Jong-Rim Lee, Chang-Woo Lee. Nano-size Study of Surface-modified Ag Anode for OLEDs. Journal of the Korean Vacuum Society. 2012; 21 (1):12-16.
Chicago/Turabian StyleJoo-Young Kim; Soo-In Kim; Kyu-Young Lee; Hyeong-Keun Kim; Jae-Hyeok Jun; Yun-Jong Jeong; Mu-Chan Kim; Jong-Rim Lee; Chang-Woo Lee. 2012. "Nano-size Study of Surface-modified Ag Anode for OLEDs." Journal of the Korean Vacuum Society 21, no. 1: 12-16.