• Title/Summary/Keyword: weight sensor

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The Study for the Fast Detection of the Stereo Radiation Detector using the Image Processing (영상처리기반 스테레오 감마선 탐지장치의 고속탐지에 관한 연구)

  • Hwang, Young-gwan;Lee, Nam-ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.1103-1105
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    • 2015
  • Leaked Radioactive source in nuclear power station, radiation related facilities and the aging nuclear power plant for the dismantling must need to detect and remove early to prevent major accidents. In this paper, we implemented a single sensor-based gamma-ray detectors stereo which can provide the distance to the radiation source, a direction and doserate information for fast and efficient decontamination work the radiation source. And we have carried out an algorithm development for high-speed detection of the detection equipment. Two detectors are required for stereo structure for obtaining the distance information of the radioactive source, but we designed the only sensor-based detection device for the weight reduction. We have extracted the region of interest and obtained the distance calculation result and distribution of radiation source in order to minimize a stereo image acquisition time. Detection time of the algorithm showed a shorter time of about 41%.

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Development of Nondestructive Detecting System for Elevator Wire Ropes using Hall-effect Sensors (Hall 센서를 이용한 엘리베이터 와이어 로프의 비파괴 검출시스템의 개발)

  • Kim, Sung-Duck
    • Journal of Sensor Science and Technology
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    • v.10 no.1
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    • pp.33-41
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    • 2001
  • Wire ropes have been widely used in industrial applications, wherever heavy weight should be carried safely or mechanical energy should be transmitted fast. Especially, wire rope failures in operating elevator may lead to extensive property damage and serious injury to nearby personnel. Hence, it is very important to inspect wire rope periodically. Failure defection of wire rope requires fundamental knowledge of wire rope construction, rope behavior, properties of fault, sensing and signal processing method. In this research, the development of a new fault detecting system incorporating Hall-effect sensors to detect flaws such as abrasion, broken wire, corrosion and deformation for aged wire ropes in elevator, is described. For using a detector as a portable instrument, several performances for implementing sensing part with Hall-effect sensor, analog signal processing unit and programs are described. Experiments and field testing results for the implemented detecting system are also given. As a result, it is verified that the detecting system has good efficiency for inspecting faults of aged wire ropes in service.

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Anti-Slip Control of Railway Vehicle Using Load Torque Disturbance Observer (부하토크외란관측기를 이용한 철도모의장치의 Anti-Slip 제어)

  • Jang, Jin-Hyog;Hwang, Lak-Hun;Kim, Young-Choon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.7 no.6
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    • pp.1064-1071
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    • 2006
  • In electric motor coaches, the rolling stocks move by the adhesive effort between rail and driving wheel. Generally, the adhesive effort is defined by the function of both the weight of electric motor coach and the adhesive effort between rails and driving wheel. The characteristics of adhesive effort is strongly affected by the conditions between rails and driving wheel. When the adhesive effort decreases suddenly, the electric motor coach has slip phenomena. This paper proposes a re-adhesion control based on disturbance observer and sensor-less vector control. The numerical simulation and experimental results point out that the proposed readhesion control system has the desired driving wheel torque response for the tested bogie system of electric coach. Based on this estimated adhesive effort, the re-adhesion control is performed to obtain the maximum transfer of the tractive effort.

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A Study on Realization of Display System for Monitoring of Heavy Equipment State (중장비 상태 감시를 위한 디스플레이 시스템 구현에 대한 연구)

  • Kim, Kee Hwan
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.3
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    • pp.263-269
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    • 2019
  • In this study, the characteristics and operation of a multi-purpose loader equipped with various sensors such as a sensor capable of measuring the boom length, an angle sensor capable of measuring the tilt of the left and right sides of the boom and the loader, and a load cell capable of measuring the weight during lifting We have implemented a system that displays related data values. The configuration of the system reads the values from the sensors, sends them to the vehicle controller, and transmits the calculated results of the overturn rate and other important information to the display device using the CANOpen protocol. Also, in the calculation of the overturn ratio, the structure of the multi-purpose loader is similar to that of the crane belonging to the heavy equipment, and the crane overturn rate calculation method is used. Through this study, we can observe the condition of the heavy equipment and recognize the emergency situations such as abalone through the display device.

Identification of Toxic Chemicals Using Polypyrrole-Cyclodextrin Hybrids (폴리피롤-사이클로덱스트린 혼성체를 이용한 유해화합물질의 검출)

  • Bae, Joonwon
    • Applied Chemistry for Engineering
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    • v.30 no.2
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    • pp.186-189
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    • 2019
  • Polypyrrole is a typical electrical conducting polymer, which has an excellent charge transport property. Cyclodextrins are a group of toxic-free and cyclic oligosaccharide molecules, capable of capturing low molecular weight chemicals. Considering these advantages, hybrid materials of polypyrrole and cyclodextrin can be used to detect hazardous compounds. Cyclodextrin molecules can accommodate toxic chemicals by the formation of host-guest complexes and generate electric signals, which are effectively delivered by polypyrrole backbone. In this study, the polypyrrole/cyclodextrin hybrid material was prepared using a facile wet method and included into a hydrogel. Subsequently, it was applied to a simple sensor system with a gold-patterned electrode for the detection of potentially hazardous material, methyl paraben. Compared with pristine polypyrrole, it was found that the polypyrrole/cyclodextrin hybrid showed an improved performance. This study can be an example of using environmentally benign conducting polymer/cyclodextrin hybrids as sensing media.

A Research on V2I-based Accident Prevention System for the Prevention of Unexpected Accident of Autonomous Vehicle (자율주행 차량의 돌발사고 방지를 위한 V2I 기반의 사고 방지체계 연구)

  • Han, SangYong;Kim, Myeong-jun;Kang, Dongwan;Baek, Sunwoo;Shin, Hee-seok;Kim, Jungha
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.3
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    • pp.86-99
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    • 2021
  • This research proposes the Accident Prevention System to prevent collision accident that can occur due to blind spots such as crossway or school zone using V2I communication. Vision sensor and LiDAR sensor located in the infrastructure of crossway somewhere like that recognize objects and warn vehicles at risk of accidents to prevent accidents in advance. Using deep learning-based YOLOv4 to recognize the object entering the intersection and using the Manhattan Distance value with LiDAR sensors to calculate the expected collision time and the weight of braking distance and secure safe distance. V2I communication used ROS (Robot Operating System) communication to prevent accidents in advance by conveying various information to the vehicle, including class, distance, and speed of entry objects, in addition to collision warning.

Artificial Intelligence-based Classification Scheme to improve Time Series Data Accuracy of IoT Sensors (IoT 센서의 시계열 데이터 정확도 향상을 위한 인공지능 기반 분류 기법)

  • Kim, Jin-Young;Sim, Isaac;Yoon, Sung-Hoon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.4
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    • pp.57-62
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    • 2021
  • As the parallel computing capability for artificial intelligence improves, the field of artificial intelligence technology is expanding in various industries. In particular, artificial intelligence is being introduced to process data generated from IoT sensors that have enoumous data. However, the limitation exists when applying the AI techniques on IoT network because IoT has time series data, where the importance of data changes over time. In this paper, we propose time-weighted and user-state based artificial intelligence processing techniques to effectively process IoT sensor data. This technique aims to effectively classify IoT sensor data through a data pre-processing process that personalizes time series data and places a weight on the time series data before artificial intelligence learning and use status of personal data. Based on the research, it is possible to propose a method of applying artificial intelligence learning in various fields.

Development of Autonomous Logistics Transportation System using Raspberry Pi (라즈베리파이를 이용한 자율물류 운반 시스템 개발)

  • Kang, Young-Hoon;Park, Chang-Hyeon;Lee, Min-Woo;Kim, Da-Eun;Lee, Seung-Dae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.1
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    • pp.125-132
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    • 2022
  • In this paper, we presented a cart which can automatically transport loads to the distribution center of the appointed indoor place, based on Raspberry pi 4. It can recognize the obstacles by using the ultrasonic sensors so that it prevents the collision and takes a detour. Further, we entered the direction control code in the RFID. It has installed at important points such as the intersections of the destinations, so that if the RFID reader of the cart senses the RFID, the cart would stop or change the direction. After the transportation, if the load cell(weight sensor) recognizes that the baggage is unloaded, the cart returns to the initial point and would be retrieved. Therefore, we embodied the transportation cart which reduces the use of manpower and solves the problems conveniently across the transportation strategies.

The Obstacle Size Prediction Method Based on YOLO and IR Sensor for Avoiding Obstacle Collision of Small UAVs (소형 UAV의 장애물 충돌 회피를 위한 YOLO 및 IR 센서 기반 장애물 크기 예측 방법)

  • Uicheon Lee;Jongwon Lee;Euijin Choi;Seonah Lee
    • Journal of Aerospace System Engineering
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    • v.17 no.6
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    • pp.16-26
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    • 2023
  • With the growing demand for unmanned aerial vehicles (UAVs), various collision avoidance methods have been proposed, mainly using LiDAR and stereo cameras. However, it is difficult to apply these sensors to small UAVs due to heavy weight or lack of space. The recently proposed methods use a combination of object recognition models and distance sensors, but they lack information on the obstacle size. This disadvantage makes distance determination and obstacle coordination complicated in an early-stage collision avoidance. We propose a method for estimating obstacle sizes using a monocular camera-YOLO and infrared sensor. Our experimental results confirmed that the accuracy was 86.39% within the distance of 40 cm. In addition, the proposed method was applied to a small UAV to confirm whether it was possible to avoid obstacle collisions.

Anti-Obesity Effect of By-Product from Soybean on Mouse Fed a High Fat Diet (고지방 식이로 유도된 비만 마우스에서 대두 부산물인 순물과 침지수의 항비만 효과)

  • Park, Young Mi;Lim, Jae Hwan;Seo, Eul Won
    • Korean Journal of Plant Resources
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    • v.28 no.2
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    • pp.168-177
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    • 2015
  • Here we study the anti-obesity effects of by-product from soybean on mouse fed high fat diet. The body weight gain, visceral and subcutaneous adipose tissue weight, liver and epididymal adipose tissue weight in freeze-dried soybean-soaking-water (SSW) powder fed group showed lower level than those in high fat diet (HFD) group by determining with weight measuring and histological methods. Also, histological analyses of the liver and fat tissues of SSW grouped mice revealed significantly less number of lipid droplets formation and smaller size of adipocytes compared to the HFD group. Moreover, the levels of total serum cholesterol, LDL-cholesterol and the atherogenic index were decreased in the SSW groups. Especially, in SSW group, the levels of phosphorylation of two lipid oxidation enzymes, adenosine monophosphate-activated protein kinase (AMPK) and acetyl-CoA carboxylasse (ACC) were elevated hence that may activate fatty acid oxidation. But AST and ALT levels were not changed in blood. By micro-CT analysis of abdomen, SSW groups significantly showed a tendency to decrease visceral and subcutaneous fats as well as fat-deposited areas compared to HFD group. Taken together, we suggest that soybean soaking water has a function in ameliorating obesity through inhibiting lipid synthesis as well as stimulating fatty acid oxidation.