• Electronics and Telecommunications Trends
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• v.36 no.1
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• pp.32-42
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• 2021

Innovative developments in wearable and artificial intelligence technologies are accelerating the emergence of a soft suit that can autonomously augment a body's own strength and protect the human body. In this paper, we define the concept of "Exoskin," a new concept specifically derived from the "Road to an Intelligent Information Society" (Technology Development Map 2035) as predicted by the Electronics and Telecommunications Research Institute. In addition, we analyze the development status of each element of this technology and forecast its future development.

• Journal of the Korea Society of Computer and Information
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• v.29 no.9
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• pp.109-114
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• 2024

In this paper, we design and implement a worker motion 3D visualization module based on human sensors. The three key modules that make up this system are Human Sensor Implementation, Data Set Creation, and Visualization. Human Sensor Implementation provides the functions of setting and installing the human sensor locations and collecting worker motion data through the human sensors. Data Set Creation offers functions for converting and storing motion data, creating near real-time worker motion data sets, and processing and managing sensor and motion data sets. Visualization provides functions for visualizing the worker's 3D model, evaluating motions, calculating loads, and managing large-scale data. In worker 3D model visualization, motion data sets (Skeleton & Position) are synchronized and mapped to the worker's 3D model, and the worker's 3D model motion animation is visualized by combining the worker's 3D model with analysis results. The human sensor-based worker motion 3D visualization module designed and implemented in this paper can be widely utilized as a foundational technology in the smart factory field in the future.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.4
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• pp.679-686
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• 2022

In this paper, we implemented an algae removal device that recognizes and removes algae existing in water using Raspberry Pi camera and DO (Dissolved Oxygen) sensor. The Raspberry Pi board recognizes the color of green algae by converting the RGB values obtained from the camera into HSV. Through this, the location of the algae is identified and when the amount of dissolved oxygen's decrease at the location is more than the reference value using the DO sensor, the algae removal device is driven to spray the algae removal solution. Raspberry Pi's camera uses OpenCV, and the motor movement is controlled according to the output value of the DO sensor and the result of the camera's green algae recognition. Algae recognition and spraying of algae removal solution were implemented through Arduino and Raspberry Pi, and the feasibility of the proposed portable algae removal device was verified through experiments.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.6
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• pp.1263-1270
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• 2021

Recently, in the food culture life, the trend of consumers cooking is changing, and the use rate of induction cookware is increasing. Therefore, in this study, we propose the development of a functional auxiliary device to improve the safety of induction cookware to improve the convenience of cooking according to the increase in the cooking population. The proposed device is linked with IoT through the app. Through the app, the device can control the induction heating power adjustment and time reservation. In addition, an ultrasonic sensor is used to prevent the container from overflowing during cooking, and the user can safely use induction through the fine dust sensor. The implemented device conducts research assuming the actual cooking situation. Finally, it was confirmed that the user's fatigue was reduced during cooking through the device and the user's safety was improved in emergency situations such as overcooking or overflowing of water.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.5
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• pp.967-974
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• 2024

This paper propose a method for detecting defects in 3D printer outputs using a transmissive photo sensor. The transmissive photo sensor measures the transmittance of the material and is used to detect defects that may occur during the printing process. To this end, the transmissive photo sensor is integrated into the 3D printer platform, and an algorithm that processes the data obtained from the sensor in real time to judge the presence of defects was developed. The results of the experiment confirmed that the propoesd system can quickly detect a variety of defects that occur during the manufacturing process. Not only can these results play a crucial role in quality control and productivity enhancement of 3D printers, but they also have potential for application in the manufacturing industry. In the future, it is expected that the defect detection system based on the proposed method will improve the stability and efficiency fo the manufacturing process.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.465-469
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• 2017

In this paper we propose a human body tracking method for application of smartphones. The conventional human body tracking method is divided into a sensor-based method and a vision-based method. The sensor-based methods have a weakness in that tracking accuracy is low due to cumulative error of position information. The vision-based method has no cumulative error, but it requires reduction of the computational complexity for application of smartphone. In this paper we use the improved HOG algorithm as a human body tracking method for application of smartphone. The improved HOG algorithm is implemented through downsampling and frame sampling. Gaussian pyramid is applied for downsampling, and uniform sampling is applied for frame sampling. We measured the proposed algorithm on two devices, four resolutions, and four frame sampling intervals. We derive the best detection rate among downsampling and frame sampling parameters that can be applied in realtime.

• Journal of the KSME
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• v.34 no.10
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• pp.787-795
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• 1994

이상과 같이 소개한 KIST 휴먼 로봇의 4족 보행시스템을 개발하는 데에 있어서 최대 목표는 보행제어의 지능화를 통해서 외관상 유사한 히타치사의 극한작업 로봇과 차별화시키는 것이다. 이를 위해서는 성능이 급격히 향상되어가고 있는 최신의 컴퓨터와 센서들을 적극 활용하면서 국내외 관련 전문가들이 축적하고 있는 노우 하우들을 최대한 활용하는 것이 필요하고, 기술적 으로는 걸음새의 지능제어, 반사제어, 소비동력의 최소화 등을 집중적으로 해결하는 것이 요구 된다. 휴먼 로봇 보행기구의 연구 성과는 궁극적으로 계단 등과 같은 단순 장애물은 물론 얼마나 악조건의 험로 위 자율 보행이 가능하고, 평제에서는 얼마나 빠른 최대 보행속도를 발휘할 수 있으며, 로봇에 탑재된 축전지만으로 얼마나 먼거리를 보행할 수 있는 지에 의해 그 질적 수 준이 판가름 나게 될 것이다. 이러한 점에서 이 과제의 추진은 국내의 로봇 연구 분야에 있어서 전혀 새로운 매우 거대한 도전이라고 할 수 있다.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1531-1532
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• 2008

본 논문은 앞을 볼 수 없는 시각 장애인의 보행 시 장애물에 대한 안전을 고려한 시스템으로 보행 시 전방에 보행 장애 물체가 나타날 경우 초음파 센서가 장애물의 위치거리를 측정하고 측정된 거리 데이터를 근거리 무선통신을 통해 송.수신하여 이를 최종적으로 사용자인 시각 장애인에게 음성으로 사전 경고함으로써 발생할 수 있는 위험 요소를 대처하는데 기여할 수 있도록 설계하였다. 설계된 시스템은 IT관련 기술을 활용함으로써 휴먼 IT기술을 구현하고자 하였다.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.5
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• pp.941-948
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• 2022

Disaster response robots are deployed to disaster sites where human access is difficult and dangerous. The disaster response robots explore the disaster sites prevent a structural collapse and perform lifesaving to minimize damage. It is difficult to operate robots in the disaster sites due to rough terrains where various obstacles are scattered, communication failures and invisible environments. In this paper, we developed a series connectable wheeled robot module. The series connectable wheeled robot module was developed into two types: an active driven robot module and a passive driven robot module. A wheeled robot was built by connecting the two active type robot modules and one passive type robot module. Two robot modules were connected by one DoF rotating joint, allowing the wheeled robot to avoid obstructions in a vertical direction. The wheeled robot performed driving and obstacle avoidance using only pressure sensors, which allows the wheeled robot operate in the invisible environment. An obstacle avoidance experiment was conducted to evaluate the performance of the wheeled robot consisting of two active driven wheeled robot modules and one passive driven wheeled robot module. The wheeled robot successfully avoided step-shaped obstacles with a maximum height of 80 mm in a time of 24.5 seconds using only a pressure sensors, which confirms that the wheeled robot possible to perform the driving and the obstacle avoidance in invisible environment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.890-891
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• 2015

With South Korea entering aging society, the problem of the elderly living alone is aggravating due to increasing health risks associated with social isolation. This should be counteracted by providing them with supports conducive to the recovery of social relationship and effective management of daily activities, such as health checkups, homecare services, chore services, and contents building for information service. This paper presents a human care system implementing miniaturization and portability for the elderly and other care recipients by integrating various contents into recipients' situation perception, direct experience, and sensor modules as a smartphone application in Internet of Things environment to facilitate their health status monitoring.