• Journal of Advanced Navigation Technology
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• v.25 no.3
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• pp.217-222
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• 2021

EOTS(Electro-Optical Tracking System) is utilized in acquiring visual information to assess a guided missile's performance. As the missile travels so fast, it is almost impossible for operator to re-capture the lost target. The RADAR or telemetry data are used to re-capture the lost target however facilities to receive real time data is required, which constrains selection of tracking site. Unlike aforementioned data, pre-calculated nominal trajectory can be used without communication facility. This paper proposes a method to predict lost target's state by employing nominal trajectory. Firstly, observed trajectory and nominal trajectory are compared using DTW and current target's state is predicted. The predicted state is used as observation in Kalman filter's correction phase to predict target's next state. The plausibility of the proposed method is verified by applying on actual missile trajectory.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.4
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• pp.553-559
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• 2020

Seaweed(Laver), Korea's largest export product, is currently focused on mass production due to the market situation in Korea. This naturally led to a decrease in the quality of seaweed. Therefore, in this paper, the present method was produced and tested by changing the way of adjusting the ratio of seaweed mixing, which was dependent on the user's sense and experience in the production of seaweed. In addition, I developed an embedded measurement system that can determine the concentration of a mixture of gold in real time based on primary image information obtained through an IR LED lamp that generates a light source and a photo sensor that detects concentration. By collecting and storing precise data in real time, it is easier to cope with the previous year's data in a work environment that is repeated every winter.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.6
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• pp.63-68
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• 2022

Currently, there are a total of 68 emergency rooms based on Seoul, South Korea, and there is a portal site that allows you to inquire the location of the emergency room, but it is difficult to use in an actual emergency situation because it consists of selecting a gu and a self-governing dong. In addition, it may be more efficient to go to the emergency room directly because you may miss the golden time necessary for survival in a situation where you call 119 and wait for the rescue team. Therefore, in this paper, we propose a service that can quickly search the location of the emergency room based on a specific location through various functions supported by MongoDB. After downloading emergency room location data based on Seoul Metropolitan City, storing it in MongoDB, processing the data through various processing techniques, and applying a spatial index, you can query the emergency room based on distance from a specific location in real time.

• Journal of Internet of Things and Convergence
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• v.9 no.1
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• pp.25-31
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• 2023

The brain-machine interface(BMI) is a next-generation interface that controls the device by decoding brain waves(also called Electroencephalogram, EEG), EEG is a electrical signal of nerve cell generated when the BMI user thinks of a command. The brain-machine interface can be applied to various smart devices, but complex computational process is required to decode the brain wave signal. Therefore, it is difficult to implement a brain-machine interface in an embedded system implemented in the form of an edge device. In this study, we proposed a new type of brain-machine interface system using IoT technology that only measures EEG at the edge device and stores and analyzes EEG data in the cloud computing. This system successfully performed quantitative EEG analysis for the brain-machine interface, and the whole data transmission time also showed a capable level of real-time processing.

• Journal of Advanced Navigation Technology
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• v.27 no.5
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• pp.674-684
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• 2023

In this paper, a real-time prediction technique for gravity disturbances is proposed using a multi-layer perceptron (MLP) model. To select a suitable MLP model, 4 models with different network sizes were designed to compare the training accuracy and execution time. The MLP models were trained using the data of vehicle moving along the surface of the sea or land, including their positions and gravity disturbance. The gravity disturbances were calculated using the 2160^th degree and order EGM2008 with SHM. Among the models, MLP4 demonstrated the highest training accuracy. After training, the weights and biases of the 4 models were stored in the embedded computer of the INS to implement the MLP network. MLP4 was found to have the shortest execution time among the 4 models. These research results are expected to contribute to improving the navigation accuracy of INS through gravity disturbance compensation in the future.

• Journal of the Korean Institute of Gas
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• v.16 no.4
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• pp.44-51
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• 2012

It is more important to realize safety management, medium-large accident prevention and risk prediction as accident of industry facilities can generate enormous physical and human damage because most energy plant might handle toxic substance. Especially, atmospheric dispersion system, which is able to simulate situation, have been used for release accident of toxic substance since the accident can show different of dispersion range and velocity according to release material, storage facility and atmospheric status. However those systems have been used generally in design step of industry facility and are difficult to deal with release accident quickly. Although some researches and cases have been studied for using real-time atmospheric information, there are insufficient system for processing quickly release accident. This paper aims to develop real-time smart atmospheric dispersion system that can deal with release accident quickly by enhancing distinct characteristics and efficiency of energy plant, and select release time and area using intelligent algorithm as accident prevention type.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.5
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• pp.151-155
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• 2017

With the rapid growth of the up-to-date wireless network and Internet technologies, huge and various types of things around us are connected to the Internet and build the hyper-connected society, and lots of smart applications using these technologies are actively developed recently. IoT connects human, things, space, and data with various types of networks to construct the hyper-connected network that can create, collect, share and appling realtime information. Furthermore, most of the smart applications are concentrated on the service that can collect and store realtime contexts using various sensors and cloud technology, and provide intelligence by making inferences and decisions from them nowadays. In this paper, we design a smart application that can accurately control and process the current state of the specific context in realtime by using the state-of-the-art ICT techniques such as various sensors and cloud technologies on the IoT based mobile computing environment.

• 한국HCI학회:학술대회논문집
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• 2007.02c
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• pp.194-198
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• 2007

본 연구의 주제는 텍스트를 어떻게 회화적이미지로 전환시킬 수 있을까?에 대한 것이다. 오늘날 디지털 환경 속에 있는 우리는 이미지 중심의 세계 속에 살고 있다. 과거 텍스트가 해왔던 정보의 생산과 전달 그리고 저장의 역할을 오늘날은 상당부분 이미지가 하게 되었다. 하지만 그럼에도 불구하고 아날로그 방식과 정서는 여전히 우리 곁에 남아있는 것도 사실이다. "Yesterday to Today"는 문자의 최소 단위인 알파벳을 통하여 이미지를 재현하려는 작품이다. 이 작품은 크게 두 가지 Idea로 이루어지는데 하나는 복수개의 실시간 영상 소스를 이용하여 이미지를 구성해내는 것과, 다른 하나는 텍스트에 의한 이미지의 변환이다. 복수개의 실시간 영상 소스는 프로그램이 작동하는 컴퓨터와 직/간접적으로 연결되어 전달되는데, 직접적으로 연결되어 근거리의 특정한 지점으로부터 영상 소스를 받을 수 있고, 또 하나의 방법은 인터넷을 통한하나 이상의 원거리 지점으로부터 보내어지는 영상을 조합하여 받을 수 있다. 프로그램 구현 개념은 픽셀 소스 카메라에서 캡쳐된 최초 이미지를 명도, 색상, 채도로 분류하고, 이것의 각각을 26개의 구간-자판의 개수에 의하여 정해짐-으로 나누고, 다시 그 각각의 구간을 26단계로 나눈다. 이렇게 나누어진 구간들은 알파벳과 1:1로 대응시켜 결과이미지의 해당 부분을 수치대로 재현하도록 프로그램 시킨다. 이미지의 부분들을 지정하기 위하여 특정한 텍스트로부터 알파벳의 빈도수를 조사했는데, 이 조사를 바탕으로 빈도수의 많고 적음에 따라 이미지부분들이 26개 구간으로 정해졌다. 이미지 재현 방법은 사용자가 모니터 위의 Result Image Cam을 통하여 얻고자 하는 이미지를 캡쳐한 후, 특정한 텍스트를 타이핑하면 이미지를 재현할 수 있는데, -입력된 텍스트의 알파벳은 프로그램이 지정한 HSI 컬러 모델의 영역과 1:1로 대응하게 하였다-이 이미지는 특정 장소에 실시간으로 받아진 영상을 데이터화 한 소스에 의하여 만들어진다. 이미지를 재현할 때 텍스트에 따라 알파벳 빈도수는 달라질 수 있으므로 비록 최초 이미지가 동일할지라도 얻고자하는 결과 이미지가 달라진다. 그러므로 사용자는다양한 창조적 경험을 할 수 있다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.2
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• pp.421-426
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• 2016

Recent developments in internet technologies has enabled widespread growth of embedded systems like Arduino, Raspberry Pi and other smart home systems. A research in the industrial sector on the utilization of the board has been made. The development needs of the embedded board in a reagent bottle case system has been highlighted. Current reagent Management System has to hold and manage the reagent itself is mostly to save the program using handwritten or machine. In addition, there is a risk to the system during the vulnerable zone administrator to manage the situation of the reagent bottle case can lead to a massive fire. In this paper, reagent bottle case RFID readers and data in real-time is monitored by attaching a sensor management through the database and sends a warning message to the mobile device of the administrator in real time during hazardous situations in the reagent bottle case. This is improve the reliability and efficiency of reagent bottle case.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.40 no.9
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• pp.807-813
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• 2016

Recently, a spherical pendulum attached to an end-effector of a robot manipulator has been frequently used for a test bed of residual vibration suppression control in a multi-dimensional motion. However, there was no automatic tracking system to detect the current bob position on-line, and there was inconvenience to not be able to store the bob position in real time and plot the trajectory. In this study, we developed a two-dimensional, real-time bob-detecting system using a digital USB camera, of which the key is hardware component design and software C programming for fast image processing and interfacing. The developed system was applied to residual vibration suppression control of a two-dimensional spherical pendulum that is attached at the end-effector of a two degree-of-freedom SCARA robot, and the effectiveness of the developed system has been demonstrated.