• Applied Chemistry for Engineering
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• v.33 no.2
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• pp.173-178
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• 2022

A lateral flow immunoassay (LFIA) method using carbon nanodot@silica as a signaling material was developed for analyzing the concentration of retinol-binding protein 4 (RBP4), one of the lung cancer biomarkers. Instead of antibodies mainly used as bioreceptors in nitrocellulose membranes in LFIA for protein detection, aptamers that are more economical, easy to store for a long time, and have strong affinities toward specific target proteins were used. A 5' terminal of biotin-modified aptamer specific to RBP4 was first reacted with neutravidin followed by spraying the mixture on the membrane in order to immobilize the aptamer in a porous membrane by the strong binding affinity between biotin and neutravidin. Carbon nanodot@silica nanoparticles with blue fluorescent signal covalently conjugated to the RBP4 antibody, and RBP4 were injected in a lateral flow manner on to the surface bound aptamer to form a sandwich complex. Surfactant concentrations, ionic strength, and additional blocking reagents were added to the running buffer solution to optimize the fluorescent signal off from the sandwich complex which was correlated to the concentration of RBP4. A 10 mM Tris (pH 7.4) running buffer containing 150 mM NaCl and 0.05% Tween-20 with 0.6 M ethanolamine as a blocking agent showed the optimum assay condition for carbon nanodot@silica-based LFIA. The results indicate that an aptamer, more economical and easier to store for a long time can be used as an alternative immobilizing probe for antibody in a LFIA device which can be used as a point-of-care diagnosis kit for lung cancer diseases.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.5B
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• pp.502-510
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• 2011

In this research, a wireless movable systems is introduced that is applicable for real-world clinical examination in order to resolve the inconvenience of wired motion analysis system which uses markers by measuring more accurately the angle of the 3D motion. The system is composed of bluetooth data transmission and 6 DOF inertial measurement system that is composed of 3-axis acceleration and 3-axis gyroscope. The samples were collected from 10 feet of 5 young children who were confirmed as patients having flat feet and achilles tendonitis by podiatric expert in pediatrics, and the validity of the system was evaluated by comparison with the opinion by the expert using the EMG data and the data measured by the developed system. ROM of ankle was measured by the difference between the maximum and the minimum peaks of 3-axis values (pitch, roll and yaw) measured at lateral malleolus bone, and based on this measured value, the eversion rate became relatively higher as flat feet state become worse, which is equivalent to the opinion from the podiatric experts. It was shown that there is a relation between the certain muscle activities and the abnormal motion of foot caused by disease.

• Journal of The Korean Society of Inherited Metabolic disease
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• v.16 no.1
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• pp.1-9
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• 2016

Newborn screening (NBS) is important if early intervention is effective in a disorder and if there are sensitive and specific biochemical markers to detect disorder. Methionine is a useful marker to detect abnormal methionine-homocysteine metabolism, especially homocystinuria which needs urgent medical intervention. However, hypermethioninemia could occur in other metabolic disorder including liver disease, tyrosinemia type I, methionine adenosyltransferase (MAT) I/III deficiency, glycine N-methyltransferase (GNMT) deficiency, or adenosylhomocysteine hydrolase deficiency. However, experience with NBS for homocystinurias and methylation disorders is limited. Especially, MAT I/III deficiency which is the most common cause of persistent hypermethioninemia have two inheritance, autosomal recessive (AR) and autosomal dominant (AD), and their clinical manifestation is different between AR and AD. Here, author reviewed recent articles of guideline and proposed guideline for homocystinuria and methylation disorder.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.4C
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• pp.341-350
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• 2006

The sand table training is one of the most effective training method in military operations which can accomplish missions such as simulation and rehearsal without limitations related to time, space, money and so on. Previous sand table training has many problems like that the sand table cannot represent real field condition because of its physical properties. So, it is hard to be preserved and impossible to include much of information into them. In this paper, we make an approach based on Augmented Reality(AR) to solve these problems and propose an efficient military training briefing tool with virtual sand table environment described as actual battle field Virtual Tactical Map(VTM) can realize a virtual military training with simple action like moving marker or tangible interface by hand. Real-time state information of VTM gives us more organic intelligence for entire situation. Tangible AR interface provides users with a contents authoring tool that is natural, intuitive and easy to deal with as interaction between user in real world and system that augmented real world with virtual object. VTM is a newly designed military training briefing tools. A military training content can be reproduced and it is possible that user uses this content later. Thus, it shows us potential possibilities of AR applications on military leaning field.

• Journal of Plant Biotechnology
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• v.44 no.3
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• pp.303-311
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• 2017

In this study, random amplified polymorphic DNA (RAPD) and sequence-related amplified polymorphism (SRAP) analyses were used for evaluation of genetic diversity of 61 kiwifruit (Actinidia spp.) germplasms including domestic and overseas collection cultivars. Forty RAPD primers were detected in a total of 230 polymorphic bands with an average of 5.75. Thirty-two SRAP primer combinations were detected in a total of 204 polymorphic bands with an average 6.38. By unweighted pair-group method arithmetic average cluster analysis using 434 polymorphic bands, kiwifruit germplasms were classified in three groups with similarity value of 0.680. Cluster I consisted of 46 kiwifruit germplasms belonging to A. deliciosa, A. chinensis, A. deliciosa ${\times}$ A. arguta, A. chinensis ${\times}$ A. arguta, and A. chinensis ${\times}$ A. deliciosa. Cluster II consisted of seven germplasms belonging to A. arguta and 'Skinny Green', a cultivar derived from a cross between A. arguta and A. deliciosa. Cluster III consisted of seven germplasms belonging to A. rufa, A. hemsleyana, A. macrosperma, A. polygama, and A. eriantha. Genetic similarity values among tested kiwifruit germplasms ranged from 0.479-0.991, and average similarity value was 0.717. Similarity value was highest (0.991) between NHK0038 (A. deliciosa) and NHK0040 (A. deliciosa), and lowest (0.479) between 'Hayward' (A. deliciosa) and K5-1-22 (A. arguta).

• Tuberculosis and Respiratory Diseases
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• v.61 no.1
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• pp.41-45
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• 2006

Background; Several clinical scoring systems are currently being used to predict the outcome of sepsis, but they all have certain limitations. Therefore, we sought to identify the proteomic biomarkers, with wsing proteomic tools, that differed according to the outcome of sepsis patients. Methods; Upon admission to the ICU, blood samples were obtained from the 16 patients with sepsis who were enrolled in this study. Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI -TOF MS) was used to identify the markers that could predict the outcome of sepsis. Results; We found six peaks, by using cation and anion chips, that statistically differed between those patients who died and those who survived. Conclusion; The biomarkers we found by using proteomic tools may help predict the prognosis and also plan the treatment of sepsis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.777-785
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• 2021

Many utility lines are buried underground to provide various functions of the city. Because historical records are not managed systematically, damage has occurred during excavation. In addition, the demand for an underground facility management system is increasing as the aerial underground project is progressing. By attaching an electronic recognition sensor to an underground facility, such as pipelines, the management history and site conditions can be carefully managed. Therefore, in this study, electronic recognition sensors, such as BLE Beacon, UHF RFID, geomagnetic sensor, and commercial marker, were tested to analyze the strengths, weaknesses, and field applicability through a pilot project. According to the limited research results collected through two pilot projects, the installation depth is most important to demonstrate the performance of the electronic reader. In addition, because it should be used in urban areas, the influence of environmental interference should be minimized, and there should be no performance degradation over time. In the case of the geomagnetic recognizer, the effect of environmental interference was large, and performance degradation occurred over time using the BLE Beacon. In the field situation, where the installation depth can be controlled to less than 40cm, the utility of the battery-free UHF RFID was the best.

• Journal of Broadcast Engineering
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• v.26 no.3
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• pp.269-282
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• 2021

As the distribution of 3D content such as augmented reality and virtual reality increases, the importance of real-time computer animation technology is increasing. However, the computer animation process consists mostly of manual or marker-attaching motion capture, which requires a very long time for experienced professionals to obtain realistic images. To solve these problems, animation production systems and algorithms based on deep learning model and sensors have recently emerged. Thus, in this paper, we study four methods of implementing natural human movement in deep learning model and kinect camera-based animation production systems. Each method is chosen considering its environmental characteristics and accuracy. The first method uses a Kinect camera. The second method uses a Kinect camera and a calibration algorithm. The third method uses deep learning model. The fourth method uses deep learning model and kinect. Experiments with the proposed method showed that the fourth method of deep learning model and using the Kinect simultaneously showed the best results compared to other methods.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.711-719
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• 2021

EBS has been producing numerous educational contents with traditional virtual studio production systems since the early 2000s and applied AR video production system in October 2020, twenty-years after. Although the basic concept of synthesizing graphic elements and actual image in real time by tracking camera movement and lens information is similar to the previous one but the newly applied AR video production system contains some of advanced technologies that are improved over the previous ones. Marker tracking technology that enables camera movement free and position tracking has been applied that can track the location stably, and the operating software has been applied with Unreal Engine, one of the representative graphic engines used in computer game production, therefore the system's rendering burden has been reduced, enabling high-quality and real-time graphic effects. This system is installed on a crane camera that is mainly used in a crane shot at the live broadcasting studio and applied for live broadcasting programs for children and some of the videos such as program introductions and quiz events that used to be expressed in 2D graphics were converted to 3D AR videos which has been enhanced. This paper covers the effect of introduction and application of the AR video production system on EBS content production and the future development direction and possibility.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.2
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• pp.77-84
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• 2023

Dengue virus transmission is a viral infection disease between humans and Aedes mosquitoes. Dengue is ubiquitous throughout the tropics and subtropical zones, where 1/3 of the global population live. The weather in Korea is also changing to subtropical weather, resulting in increased vulnerable Korean population to dengue virus transmission. It is important to control and prevent the dengue risk with track-recording & monitoring system. It is also required to have the control system to treat and monitor dengue patients with various cases such as regions, ages, genders according to the track-record of the disease. In this paper, we developed a Dengue Control & Prevention System, which can monitor and control dengue outbreaks in real-time with in-vitro diagnostic devices. Dengue Control & Prevention System is composed of in-vitro diagnostic device, which is a fluorescent immunoassay, and real-time monitoring system. In the future, we expect that our Dengue Control & Prevention System can be upgraded to have various disease information from Korea Disease Control and Prevention Agency for government policies and diseases control in Korea.