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Development of small multi-copter system for indoor collision avoidance flight (실내 비행용 소형 충돌회피 멀티콥터 시스템 개발)

  • Moon, Jung-Ho
    • Journal of Aerospace System Engineering
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    • v.15 no.1
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    • pp.102-110
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    • 2021
  • Recently, multi-copters equipped with various collision avoidance sensors have been introduced to improve flight stability. LiDAR is used to recognize a three-dimensional position. Multiple cameras and real-time SLAM technology are also used to calculate the relative position to obstacles. A three-dimensional depth sensor with a small process and camera is also used. In this study, a small collision-avoidance multi-copter system capable of in-door flight was developed as a platform for the development of collision avoidance software technology. The multi-copter system was equipped with LiDAR, 3D depth sensor, and small image processing board. Object recognition and collision avoidance functions based on the YOLO algorithm were verified through flight tests. This paper deals with recent trends in drone collision avoidance technology, system design/manufacturing process, and flight test results.

Comparison of the Effects of General and Pregnant Women's Dentifrices on the Removal of the Dental Plaque

  • Kim, Ye-Eun;Ko, Seong-Eun;Sa, Da-Eun;Lee, Ji-Eun;Jeon, Se-Yoon;Lim, Do-Seon
    • Journal of dental hygiene science
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    • v.20 no.4
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    • pp.245-251
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    • 2020
  • Background: This study tries to compare and analyze the removal effect of dental plaque of general dentifrice and pregnant women's dentifrice and quantify the results to provide basic data so that consumers can make reasonable choices when purchasing dentifrice, and also increase interest in the dental plaque. Methods: After forming a dental plaque (carbohydrate porridge) on the labial surface of the bovine teeth, a disclosing agent was applied. Then the same experimenter brushed the surface of the bovine teeth using an electric toothbrush and took photographs using a DSLR camera. Thereafter, the residual amount of dental plaque was analyzed using the ImageJ program, and SPSS 26.0 was used for statistical processing. Results: The average residual amount of dental plaque using the general dentifrice was 11.71% for Perio, 9.45% for Cliden, and 8.47% for 2080, and the average residual amount for the three types was approximately 9.88%. The average residual amount of dental plaque of pregnant women's dentifrice was 13.95% for Jeninmothers, 12.53% for Tntnmoms, and 12.63% for Mommiracle, and the average residual amount of the three types was approximately 13.04%. On comparing the average residual amount of dental plaque between general and pregnant women's dentifrices, it was observed to be 3.16% higher for the latter. However, the results were not statistically significant. Conclusion: According to the research results, there was no significant difference in removal effects of general dentifrice and pregnant women's dentifrice. In addition, when a pregnant woman uses the right toothbrushing method with pregnant women's dentifrice, it can prevent or inhibit the progression of the gestational periodontal disease. Therefore, we recommend pregnant women to use pregnant women's dentifrices.

A study on the Digital diorama AR using Natural history Contents (자연사 콘텐츠를 활용한 디지털디오라마 AR연구)

  • Park, Ki-Deok;Chung, Jean-Hun
    • Journal of Digital Convergence
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    • v.19 no.6
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    • pp.293-297
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    • 2021
  • This paper applies the natural history contents of the Science Museum and combines the Gestalt theory to develop the butterfly arrangement structure of the butterfly sample box and the butterfly sample information necessary for the sample box as AR (Augmented Reality). Existing analog sample information is expressed as digital information by combining place, butterfly information, and graph to maximize the effect of digital diorama exhibition. Digital natural history information is increased or decreased, and an environment optimized for real samples and suitability is constructed, and natural history contents are arranged in the principles of collectiveness, closure, simplicity, and continuity using the Gestalt visual perception principle to increase attention and increase the attention of butterfly collection information. Was applied as an application plan of AR.

Detection Range Improvement of Radiation Sensor for Radiation Contamination Distribution Imaging (방사선 오염분포 영상화를 위한 방사선 센서의 탐지 범위 개선에 관한 연구)

  • Song, Keun-Young;Hwang, Young-Gwan;Lee, Nam-Ho;Na, Jun-Hee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.12
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    • pp.1535-1541
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    • 2019
  • To carry out safe and rapid decontamination in radiological accident areas, acquisition of various information on radiation sources is needed. In particular, to figure out the location and distribution of radiation sources is essential for rapid follow-up and removal of contaminants as well as minimizing worker damage. The radiation distribution detection device is used to obtain the position and distribution information of the radiation source. In the case of a radiation distribution detection device, a detection sensor unit is generally composed of a single sensor, and the detection range is limited due to the physical characteristics of the single sensor. We applied a calibration detector for controlling the detection sensitivity of a single sensor for radiation detection and improved the limited detection range of radiation dose rate. Also, gamma irradiation test confirmed the improvement of radiation distribution detection range.

Development of augmented reality based IoT control platform using marker (마커를 이용한 증강현실 기반 사물인터넷 제어 플랫폼 개발)

  • Shin, Kwang-Seong;Youm, Sungkwan;Park, YoungJoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.8
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    • pp.1053-1059
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    • 2021
  • In order to realize a smart home, a new type of service that converges the two technologies is required as a method to overcome the respective limitations of augmented reality and IoT technologies. Augmented reality recognizes objects and projects augmented content with the recognized objects on the screen. This technology mainly uses image processing methods such as markers as a method for recognizing objects. In this paper, an augmented reality-based IoT control platform using markers was developed. By defining a marker unique to the object, a unique identifier displayed on the camera was distinguished. A smart home system was implemented by calling a controller to control things. The proposed system receives state information of objects through symptom reality and transmits control commands. The proposed platform was verified by manipulating household lights.

A study on the establishment and utilization of large-scale local spatial information using search drones (수색 드론을 활용한 대규모 지역 공간정보 구축 및 활용방안에 관한 연구)

  • Lee, Sang-Beom
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.1
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    • pp.37-43
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    • 2022
  • Drones, one of the 4th industrial technologies that are expanding from military use to industrial use, are being actively used in the search missions of the National Police Agency and finding missing persons, thereby reducing interest in a wide area and the input of large-scale search personnel. However, legal review of police drone operation is continuously required, and the importance of advanced system for related operations and analysis of captured images in connection with search techniques is increasing at the same time. In this study, in order to facilitate recording, preservation, and monitoring in the concept of precise search and monitoring, it is possible to achieve high efficiency and secure golden time when precise search is performed by constructing spatial information based on photo rather than image data-based search. Therefore, we intend to propose a spatial information construction technique that reduces the resulting data volume by adjusting the unnecessary spatial information completion rate according to the size of the subject. Through this, the scope of use of drone search missions for large-scale areas is advanced and it is intended to be used as basic data for building a drone operation manual for police searches.

Analysis on Werner Bischof's Korean War Documentary Photos (베르너 비숍의 한국전쟁 다큐멘터리 사진 분석)

  • Jung, Eun Jin;Kim, Jin Soo;Yang, Jong Hoon
    • The Journal of the Korea Contents Association
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    • v.22 no.6
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    • pp.160-174
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    • 2022
  • This research analyzed military journalist activities and key photos of Werner Bischof, the military journalist during Korean war. Werner Bischof entered Korea twice in 1951 and 1952 for military journals. Through Korean war pictures, essay, multiple letters and photobooks, I shed a light on the background of his military journals and activities, and analyzed topics and characteristics based on key photos that he took during his first and second military journalist activities. Bischof created a work centered on 'Human'. Especially, he has this consciousness of 'What happens to civilians in war-ridden area?'. Bischof took civilians in Sanyangri in his camera to announce pain of civilians and tragedy of war coming from war during his first military journalist activity. During his second military journalist activity, he critiqued ideological brainwashing, life of prisoners of war in a humanist point of view. The latter showed characteristics of clear contrast of black and white, image arrangement based on characters, and outstanding photo views. His military journal activity is in search of civilian suffering, and humanism in Korean war. This consciousness crosses through generation over generation that cannot be compared to other military journalists.

Design of Robot Arm for Service Using Deep Learning and Sensors (딥러닝과 센서를 이용한 서비스용 로봇 팔의 설계)

  • Pak, Myeong Suk;Kim, Kyu Tae;Koo, Mo Se;Ko, Young Jun;Kim, Sang Hoon
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.5
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    • pp.221-228
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    • 2022
  • With the application of artificial intelligence technology, robots can provide efficient services in real life. Unlike industrial manipulators that do simple repetitive work, this study presented design methods of 6 degree of freedom robot arm and intelligent object search and movement methods for use alone or in collaboration with no place restrictions in the service robot field and verified performance. Using a depth camera and deep learning in the ROS environment of the embedded board included in the robot arm, the robot arm detects objects and moves to the object area through inverse kinematics analysis. In addition, when contacting an object, it was possible to accurately hold and move the object through the analysis of the force sensor value. To verify the performance of the manufactured robot arm, experiments were conducted on accurate positioning of objects through deep learning and image processing, motor control, and object separation, and finally robot arm was tested to separate various cups commonly used in cafes to check whether they actually operate.

CNN3D-Based Bus Passenger Prediction Model Using Skeleton Keypoints (Skeleton Keypoints를 활용한 CNN3D 기반의 버스 승객 승하차 예측모델)

  • Jang, Jin;Kim, Soo Hyung
    • Smart Media Journal
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    • v.11 no.3
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    • pp.90-101
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    • 2022
  • Buses are a popular means of transportation. As such, thorough preparation is needed for passenger safety management. However, the safety system is insufficient because there are accidents such as a death accident occurred when the bus departed without recognizing the elderly approaching to get on in 2018. There is a safety system that prevents pinching accidents through sensors on the back door stairs, but such a system does not prevent accidents that occur in the process of getting on and off like the above accident. If it is possible to predict the intention of bus passengers to get on and off, it will help to develop a safety system to prevent such accidents. However, studies predicting the intention of passengers to get on and off are insufficient. Therefore, in this paper, we propose a 1×1 CNN3D-based getting on and off intention prediction model using skeleton keypoints of passengers extracted from the camera image attached to the bus through UDP-Pose. The proposed model shows approximately 1~2% higher accuracy than the RNN and LSTM models in predicting passenger's getting on and off intentions.

Experimental and numerical FEM of woven GFRP composites during drilling

  • Abd-Elwahed, Mohamed S.;Khashaba, Usama A.;Ahmed, Khaled I.;Eltaher, Mohamed A.;Najjar, Ismael;Melaibari, Ammar;Abdraboh, Azza M.
    • Structural Engineering and Mechanics
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    • v.80 no.5
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    • pp.503-522
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    • 2021
  • This paper investigates experimentally and numerically the influence of drilling process on the mechanical and thermomechanical behaviors of woven glass fiber reinforced polymer (GFRP) composite plate. Through the experimental analysis, a CNC machine with cemented carbide drill (point angles 𝜙=118° and 6 mm diameter) was used to drill a woven GFRP laminated squared plate with a length of 36.6 mm and different thicknesses. A produced temperature during drilling "heat affected zone (HAZ)" was measured by two different procedures using thermal IR camera and thermocouples. A thrust force and cutting torque were measured by a Kistler 9272 dynamometer. The delamination factors were evaluated by the image processing technique. Finite element model (FEM) has been developed by using LS-Dyna to simulate the drilling processing and validate the thrust force and torque with those obtained by experimental technique. It is found that, the present finite element model has the capability to predict the force and torque efficiently at various drilling conditions. Numerical parametric analysis is presented to illustrate the influences of the speeding up, coefficient of friction, element type, and mass scaling effects on the calculated thrust force, torque and calculation's cost. It is found that, the cutting time can be adjusted by drilling parameters (feed, speed, and specimen thickness) to control the induced temperature and thus, the force, torque and delamination factor in drilling GFRP composites. The delamination of woven GFRP is accompanied with edge chipping, spalling, and uncut fibers.