• Title/Summary/Keyword: robotic technology

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Development of a Prototype Mass Spectrometer (질량 분석기의 원형 모델 개발)

  • Jingeun Rhee;Nam-Seok Lee;Sung Won Kang;Seontae Kim;Kyu-Ha Jang;Yu Yi;Ik-Seon Hong;Cheong Rim Choi;Kyoung Wook Min;Jongil Jung
    • Journal of Space Technology and Applications
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    • v.3 no.1
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    • pp.86-99
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    • 2023
  • The mass spectrometer, being an essential scientific instrument for uncovering the origin of the solar system and life, has been used since the early 1970s on board spacecraft to obtain information of neutral and ionized elements in the atmosphere and surface of the moon, planets, asteroids, and comets. According to the 4th Basic Plan for the Promotion of Space Development (2023-2027), Korea plans to conduct lunar landing in 2032 and Mars landing in 2045 as the core goals of the plan and focuses on developing the technologies required for unmanned robotic exploration missions. In this regard, it is crucial to develop the technology of a mass spectrometer, which is the most fundamental payload for space exploration for maximized scientific achievements, however never tried before in any domestic space missions. We describe in this paper the principle of a domestically developed quadrupole mass spectrometer, its prototype model, and the test results of its performance. We conclude this paper with intended future improvements.

3D Simulation Study to Develop Automated System for Robotic Application in Food Sorting and Packaging Processes (식품계량 및 포장 공정 로봇 적용 자동화 시스템 개발을 위한 3D 시뮬레이션 연구)

  • Seunghoon Baek;Seung Eel Oh;Ki Hyun Kwon;Tae Hyoung Kim
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.5
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    • pp.230-238
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    • 2023
  • Small and medium-sized food manufacturing enterprises are largely reliant on manual labor, from inputting raw materials to palletizing the final product. Recently, there has been a trend toward smartness and digitization through the implementation of robotics and sensor data technology. In this study, we examined the effectiveness of improvement through 3D simulation on two repetitive work processes within a food manufacturing company. These processes involve workers whose speed cannot match the capacity of the applied equipment. Two manual processes were selected: the weighing and packing process performed by workers after skewer assembly, and the manual batch process of counting randomly delivered frozen foods, packing (both internal and external), and palletizing. The production volume, utilization rate, and number of workers were chosen as verification indicators. As a result of the simulation for improving the 3D process, production increased by 13.5% and 56.8% compared to the existing process, respectively. This was particularly evident in the process of applying palletizing robots. In both processes, as the utilization rate and number of input workers decreased, robots could replace tasks with high worker fatigue, thereby reducing work overload. This study demonstrates the potential to visually compare the process flow improvement using 3D simulations and confirms the possibility of pre-validation for improvement.

Evaluation of Carryover Contamination on Autopipetting System (자동분주기의 이월오염 평가)

  • Lee, Hyun-Ju;Min, Gyung-Sun;Shin, Sun-Young;Woo, Jae-Ryong;Lee, Ho-Young
    • The Korean Journal of Nuclear Medicine Technology
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    • v.13 no.3
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    • pp.189-192
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    • 2009
  • Purpose: Autopipetting system is an efficient automated equipment pipetting patient samples and reagents for rapid and accurate test. However, it can cause carryover between high concentration sample and low concentration sample. We evaluated carryover contamination of TECAN freedom Evo 100 autopipetting system. Materials and Method: We studied carryover contamination of $\alpha$-fetoprotein (AFP) and carcinoembryonic antigen (CEA) test on TECAN freedom Evo 100 autopipetting system. Very low concentration control samples were pipetted for comparison to the contaminated very low concentration samples. Then, The contaminated very low concentration samples were pipetted following the high concentration samples were pipetted alternately. The difference of low concentration samples represents carryover. The target value to decide carryover was 1ppm (parts per million). Results: For AFP, the mean values of the uncontaminated control samples and the contaminated samples were less than 0.6 IU/mL (the l imit of detection (LoD)). Carryover did not occur even though the high concentration sample which value was 650000 IU/mL. For CEA, the values of the low concentration control samples and the contaminated samples were less than 0.2 ng/mL (LoD). Carryover did not occur even though the high concentration sample which value was 65,000 ng/mL. Conclusions: Sample carryover was not found on TECAN freedom Evo 100 autopipetting system for AFP, CEA. However, carryover is a potential problem with automated instruments and robotic pipetting systems. Therefore, Clinical laboratories must periodically verify carryover contamination for the accurate and confidential test results.

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Bio-Signal Detection Monitoring System Using ZigBee and Wireless Network (거리측정 센서 스캐닝과 퍼지 제어를 이용한 생체신호 모니터링 전동 휠체어 자율주행 시스템)

  • Kim, Kuk-Se;Yang, Sang-Gi;Rasheed, M.Tahir;Ahn, Seong-Soo;Lee, Joon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.10a
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    • pp.331-339
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    • 2008
  • Nowadays with advancement in technology and aging society, the number of disabled citizens is increasing. The disabled citizens always need a caretaker for daily life routines especially for mobility. In future, the need is considered to increase more. To reduce the burden from the disabled, various devices for healthcare are introduced using computer technology. The power wheelchair is an important and convenient mobility device. The demand of power wheelchair is increasing for assistance in mobility. In this paper we proposed a robotic wheelchair for mobility aid to reduce the burden from the disabled. The main issue in an autonomous wheelchair is the automatic detection and avoidance of obstacles and going to the pre-designated place. The proposed algorithm detects the obstacles and avoids them to drive the wheelchair to the desired place safely. By this way, the disabled will not always have to worry about paying deep attention to the surroundings and his path. User has a handheld bio-sensor monitoring system for get user's bio-signal. If user detects unusual signal, alarm send to protector.

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A Study on the Automatic Digital DB of Boring Log Using AI (AI를 활용한 시추주상도 자동 디지털 DB화 방안에 관한 연구)

  • Park, Ka-Hyun;Han, Jin-Tae;Yoon, Youngno
    • Journal of the Korean Geotechnical Society
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    • v.37 no.11
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    • pp.119-129
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    • 2021
  • The process of constructing the DB in the current geotechnical information DB system needs a lot of human and time resource consumption. In addition, it causes accuracy problems frequently because the current input method is a person viewing the PDF and directly inputting the results. Therefore, this study proposes building an automatic digital DB using AI (artificial intelligence) of boring logs. In order to automatically construct DB for various boring log formats without exception, the boring log forms were classified using the deep learning model ResNet 34 for a total of 6 boring log forms. As a result, the overall accuracy was 99.7, and the ROC_AUC score was 1.0, which separated the boring log forms with very high performance. After that, the text in the PDF is automatically read using the robotic processing automation technique fine-tuned for each form. Furthermore, the general information, strata information, and standard penetration test information were extracted, separated, and saved in the same format provided by the geotechnical information DB system. Finally, the information in the boring log was automatically converted into a DB at a speed of 140 pages per second.

Development of a deep learning-based cabbage core region detection and depth classification model (딥러닝 기반 배추 심 중심 영역 및 깊이 분류 모델 개발)

  • Ki Hyun Kwon;Jong Hyeok Roh;Ah-Na Kim;Tae Hyong Kim
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.6
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    • pp.392-399
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    • 2023
  • This paper proposes a deep learning model to determine the region and depth of cabbage cores for robotic automation of the cabbage core removal process during the kimchi manufacturing process. In addition, rather than predicting the depth of the measured cabbage, a model was presented that simultaneously detects and classifies the area by converting it into a discrete class. For deep learning model learning and verification, RGB images of the harvested cabbage 522 were obtained. The core region and depth labeling and data augmentation techniques from the acquired images was processed. MAP, IoU, acuity, sensitivity, specificity, and F1-score were selected to evaluate the performance of the proposed YOLO-v4 deep learning model-based cabbage core area detection and classification model. As a result, the mAP and IoU values were 0.97 and 0.91, respectively, and the acuity and F1-score values were 96.2% and 95.5% for depth classification, respectively. Through the results of this study, it was confirmed that the depth information of cabbage can be classified, and that it can be used in the development of a robot-automation system for the cabbage core removal process in the future.

A Sliding Mode Control of an Underwater Robotic Vehicle under the Influence of Thrust Dynamics (추진기의 동역학을 고려한 무인잠수정의 슬라이딩 모드 제어)

  • Choi, Hyeung-Sik;Park, Han-Il;Roh, Min-Shik;So, Myung-Ok
    • Journal of Advanced Marine Engineering and Technology
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    • v.33 no.8
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    • pp.1203-1211
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    • 2009
  • The dynamics of underwater vehicles can be greatly influenced by the dynamics of the vehicle thrusters. The control of the state of the hovering or very slow motion of the underwater vehicle is most important for automatic docking or control of the manipulator of the vehicle. The dynamics of the thruster based on the electric motor is nonlinear and has uncertain parameters. Since the dynamics of the vehicle coupled with the dynamics of the thruster is nonlinear and has uncertain parameters, a robust control is very effective for a desired motion tracking of the uncertain and nonlinear vehicle. In this paper a study was performed on the robust control scheme of the very slow motion or hovering motion of the underwater vehicle actuated by the electric motor. Also, a concurrent control on the state of the vehicle with nonlinearity and uncertain parameters was performed. A sliding mode control algorithm out of robust controllers was designed and applied, which compensates the nonlinear forces and uncertain parameters of the vehicle and actuator. Through a computer simulation, the proposed control scheme was compared with a linear PD controller and its superior performance was validated.

Reliability Evaluation of ACP Component under a Radiation Environment (방사선환경에서 ACP 주요부품의 신뢰도 평가)

  • Lee, Hyo-Jik;Yoon, Kwang-Ho;Lim, Kwang-Mook;Park, Byung-Suk;Yoon, Ji-Sup
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.5 no.4
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    • pp.309-322
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    • 2007
  • This study deals with the irradiation effects on some selected components which are being used in an Advanced Spent Fuel Conditioning Process (ACP). Irradiation test components have a higher priority from the aspect of their reliability because their degradation or failure is able to critically affect the performance of an ACP equipment. Components that we chose for the irradiation tests were the AC servo motor, potentiometer, thermocouples, accelerometer and CCD camera. ACP facility has a number of AC servo motors to move the joints of a manipulator and to operate process equipment. Potentiometers are used for a measurement of several joint angles in a manipulator. Thermocouples are used for a temperature measurement in an electrolytic reduction reactor, a vol-oxidation reactor and a molten salt transfer line. An accelerometer is installed in a slitting machine to forecast an incipient failure during a slitting process. A small CCD camera is used for an in-situ vision monitoring between ACP campaigns. We made use of a gamma-irradiation facility with cobalt-60 source for an irradiation test on the above components because gamma rays from among various radioactive rays are the most significant for electric, electronic and robotic components. Irradiation tests were carried out for enough long time for total doses to be over expected threshold values. Other components except the CCD camera showed a very high radiation hardening characteristic. Characteristic changes at different total doses were investigated and threshold values to warrant at least their performance without a deterioration were evaluated as a result of the irradiation tests.

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Design and Validation of Robot Curriculum in Education for the Gifted Elementary Students of Computer Science (초등정보과학영재를 위한 로봇교육과정의 설계 및 검증)

  • Lee, Jae-Ho;Nam, Gil-Hyun
    • Journal of Gifted/Talented Education
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    • v.19 no.3
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    • pp.669-695
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    • 2009
  • In the 21st century, there will be a robot revolution. Only several years ago, industrial robots were the mainstream in the robot market; however, diverse type of robots are currently entering into our daily lives for various purposes, and the robot that thinks and behaves very similarly to human will appear in the near future. However, there is a critical view about the robot period. This means that the robot revolution will change even the framework of our entire society and human life style, and it is necessary to have robot education. It is necessary to start robot education in the elementary school curriculum with a view to enhancing interest in basic science and scientific technology and cultivating creative talents who may adapt themselves to a robotic society. However, there is no systematic robot curriculum owing to insufficient perception of the need of robot education and the educational utilization of robots. Under these circumstances, robot education is largely dependent on education for students with special talents and aptitudes run by private organizations. This paper conducted the following research in order to develop a robot curriculum in education for the gifted elementary students of computer science. First, the paper identified problems by analyzing the robot curriculum from a micro perspective after selecting three organizations that are relatively well perceived out of private organizations that operate robot education for the gifted elementary students of computer science. Second, the paper developed a robot curriculum in education for the gifted elementary students of computer science based on the framework of a robot curriculum run by private sector. Third, the validity of the robot curriculum developed in this paper was verified by a professional group comprising mainly persons in charge of robot curriculum development at private sector and lecturers for robot education for the gifted elementary students of computer science.

A Study on Smart Factory System Design for Screw Machining Management (나사 가공 관리를 위한 스마트팩토리 시스템 설계에 관한 연구)

  • Lee, Eun-Kyu;Kim, Dong-Wan;Lee, Sang-Wan;Kim, Jae-joong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.329-331
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    • 2018
  • In this paper, we propose a monitoring system that starts with the supply of raw materials for threading, is processed into a lathe machine, and checks for defects of the product are automatically performed by the robot with Smart Factory technology through assembly and disassembly. Completion check according to the production instruction quantity and production instruction is made by checking the production status according to whether or not the raw material is worn by the displacement sensor, and checking the pitch and the contour of the processed female and male to determine OK and NG. The robotic system acts as a relay for loading and unloading of raw materials, pallet transfer, and overall process, and it acts as an intermediary for organically driving. The location information of the threaded products is collected by using the non-contact wireless tag and the energy saving system Production efficiency and utilization rate were checked. The environmental sensor collects the air-conditioning environment data (temperature, humidity), measures the temperature and humidity accurately, and checks the quality of product processing. It monitors and monitors the driving hazard level environment (overheating, humidity) of the product. Controls for CNC and robot module PLC as a heterogeneous system.

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