• Title/Summary/Keyword: automatic processing

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Accurate Human Localization for Automatic Labelling of Human from Fisheye Images

  • Than, Van Pha;Nguyen, Thanh Binh;Chung, Sun-Tae
    • Journal of Korea Multimedia Society
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    • v.20 no.5
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    • pp.769-781
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    • 2017
  • Deep learning networks like Convolutional Neural Networks (CNNs) show successful performances in many computer vision applications such as image classification, object detection, and so on. For implementation of deep learning networks in embedded system with limited processing power and memory, deep learning network may need to be simplified. However, simplified deep learning network cannot learn every possible scene. One realistic strategy for embedded deep learning network is to construct a simplified deep learning network model optimized for the scene images of the installation place. Then, automatic training will be necessitated for commercialization. In this paper, as an intermediate step toward automatic training under fisheye camera environments, we study more precise human localization in fisheye images, and propose an accurate human localization method, Automatic Ground-Truth Labelling Method (AGTLM). AGTLM first localizes candidate human object bounding boxes by utilizing GoogLeNet-LSTM approach, and after reassurance process by GoogLeNet-based CNN network, finally refines them more correctly and precisely(tightly) by applying saliency object detection technique. The performance improvement of the proposed human localization method, AGTLM with respect to accuracy and tightness is shown through several experiments.

Determination of Optimal Welding Parameter for an Automatic Welding in the Shipbuilding

  • Park, J.Y.;Hwang, S.H.
    • International Journal of Korean Welding Society
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    • v.1 no.1
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    • pp.17-22
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    • 2001
  • Because the quantitative relationships between welding parameters and welding result are not yet blown, optimal values of welding parameters for $CO_2$ robotic arc welding is a difficult task. Using the various artificial data processing methods may solve this difficulty. This research aims to develop an expert system for $CO_2$ robotic arc welding to recommend the optimal values of welding parameters. This system has three main functions. First is the recommendation of reasonable values of welding parameters. For such work, the relationships in between the welding parameters are investigated by the use of regression analysis and fuzzy system. The second is the estimation of bead shape by a neural network system. In this study the welding current voltage, speed, weaving width, and root gap are considered as the main parameters influencing a bead shape. The neural network system uses the 3-layer back-propagation model and a generalized delta rule as teaming algorithm. The last is the optimization of the parameters for the correction of undesirable weld bead. The causalities of undesirable weld bead are represented in the form of rules. The inference engine derives conclusions from these rules. The conclusions give the corrected values of the welding parameters. This expert system was developed as a PC-based system of which can be used for the automatic or semi-automatic $CO_2$ fillet welding with 1.2, 1.4, and 1.6mm diameter the solid wires or flux-cored wires.

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Development of the Altari Radish Pre-Processing System for Kimchi Production (IV) - Automation and Evaluation of the Prototype Machine - (김치생산용 알타리무 전처리가공시스템 개발 (IV) - 시작기의 자동화와 평가 -)

  • Min Y.B.;Kim S.T.;Chung T.S.;Kang D.H.;Moon S.W.
    • Journal of Biosystems Engineering
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    • v.31 no.2 s.115
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    • pp.121-127
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    • 2006
  • An Altari radish pre-processing system, which feasible to process automatically such operations as leaf and root tail cutting and root peeling, for kimchi production was accomplished based on the foregone serial studies. In this study, the performances of the developed prototype machine, considered as a commercializing level, were analyzed and evaluated. The prototype machine attached Tiny PLC automatic control system was performed the sequent function as the rate of successful peeling was more than 98% for the Altari radish less than 70 mm diameter of a radish. The operating efficiency of this was 9 see/each, 128 kg/h, and it means as much as $5{\sim}6$ times that of a woman labor's. The sanitation and taste of the mechanized-processed Altari radish kimchi was almost same as that of the handmade. And they were suitable for manufactory of kimchi as the both short term ripening and storing kimchi. Developed machinery with one peeling device and two peeling devices that compared with hand processing, it was analyzed that the break-even yearly working days were 28 days and 19 days, and the break-even yearly processing amount were 28,700 kg, 32,400 kg, respectively.

Designing and Developing an Automatic Robot System for the Itemized Loading of Apple Boxes at the Agriculture Products Processing Center (거점산지유통센터의 사과박스 구분적재 자동화 로봇 시스템 설계 및 구현)

  • Kim, Myung-Sic;Kim, Kyu-Ik;Ryu, Keun Ho
    • KIISE Transactions on Computing Practices
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    • v.21 no.11
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    • pp.689-698
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    • 2015
  • Currently, the itemized box loading operation at the Agriculture Products Processing Center which distributes agricultural products for the region is carried out manually. The process of loading agricultural products requires great manpower and had been resolved through the part-time employment of the residents of farm villages. However, recently it has become quite difficult to secure manpower as the aging within the rural community has been intensified. Hence, the necessity for countermeasures such as facility automation or use of robots have become necessary. This study suggests an automatic robot system for the itemized loading of apple boxes at the Agriculture Products Processing Center. The suggested method is to design and develop equipment such as a conveyer, robot, and bar code reader. In addition, a sorting plan, operational control, generation of control information, and software module that could monitor the inside of the Agriculture Products Processing Center is needed. After test-operating and evaluating the developed system, the existing manual work would be replaced with the automated robot system in order to enhance work efficiency and resolve safety issues.

Signal Processing of Guide Sensor based on Multi-Masking and Center of Gravity Method for Automatic Guided Vehicle (다중 마스킹과 무게중심법을 기반한 AGV용 가이드 센서 신호처리)

  • Lee, Byeong-Ro;Lee, Ju-Won
    • Journal of the Institute of Convergence Signal Processing
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    • v.22 no.2
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    • pp.79-84
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    • 2021
  • The most important device of the AGV is the guide sensor, and the typical function of this sensor is high accuracy and extraction of the road. If the accuracy of the guide sensor is low or the sensor device is extracted the wrong track, this causes the problems such as the AGV collision, track-out, the load falling due to AGV swing. In order to improve these problems, this study is proposed a signal processing method of the guide sensor based on multi-maskings and the center of gravity method, and evaluated its performance. As a result, the proposed method showed that the mean error of absolute value is 2.32[mm] and it showed performance improvement of 27[%] than the center of gravity method of existence. Therefore, when the proposed signal processing method is applied, It is thought that the posture control and driving stability of the AGV will be improved.

Design and Implementation of Automatic Marking System for a Subjectivity Problem of the Program (프로그램의 주관식 문제 자동 채점 시스템 설계 및 구현)

  • Jung, Eun-Mi;Choi, Mi-Sun;Shim, Jae-Chang
    • Journal of Korea Multimedia Society
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    • v.12 no.5
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    • pp.767-776
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    • 2009
  • The purpose of this paper is to design, implement and test the automatic marking system for programming languages using key-words and boolean operations to solve the processing problems of natural languages. There are accurate grammar systems and key-words in programming languages. Using these characteristics, We have designed, programmed, and tested automatic marking system for programming languages through key-words and boolean operations in this paper. We have categorized programming languages into 7 types as the type of answer and when a professor input any key-words, the system make him put conjunction with the special character. It can be logical expressions instantly so that the system easily operates. We asked 10 students who are majoring in computer engineering to take a test on the paper and web to show how well automatic marking system that we have programmed works. Then We requested 3 professors if the subject problems marked objectively. As a result, automatic marking system proved to be appropriate. We have proposed the way of using key-words and boolean operation for prohibiting huge natural language processing in marking of subjective question. It promotes efficiency rate of programming, objectivity and speed through the transferal to the web for marking since the system prohibits marker to include personal opinion on marking and gives feedback quickly

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Fault-tolerant ZigBee-based Automatic Meter Reading Infrastructure

  • Hwang, Kwang-Il
    • Journal of Information Processing Systems
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    • v.5 no.4
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    • pp.221-228
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    • 2009
  • Due to low cost, low-power, and scalability, ZigBee is considered an efficient wireless AMR infrastructure. However, these characteristics of ZigBee can make the devices more vulnerable to unexpected error environments. In this paper, a fault-tolerant wireless AMR network (FWAMR) is proposed, which is designed to improve the robustness of the conventional ZigBee-based AMR systems by coping well with dynamic error environments. The experimental results demonstrate that the FWAMR is considerably fault-tolerant compared with the conventional ZigBee-based AMR network.

Automatic Code Grader for Programming Learning (코딩 교육에서의 자동 평가 시스템 활용)

  • Sun, Dongeun;Kim, Hyeoncheol
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.04a
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    • pp.405-406
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    • 2017
  • Everycoding은 인텔리전트 코딩 교육 시스템으로, 코딩 교육을 위한 다양한 콘텐츠 및 코딩 보조 도구를 제공한다. 특히, 코드 자동 평가 기능을 교육적 목적으로 활용함으로써, 비전공자들이 쉽게 코딩을 익힐 수 있게 도움을 주고 있다. 본 논문에서는 Everycoding에서 제공하는 코드 자동 평가 기능에 대하여 소개한다.

Machine Learning Technique for Automatic Precedent Categorization (자동 판례분류를 위한 기계학습기법)

  • Jang, Gyun-Tak
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.574-576
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    • 2007
  • 판례 자동분류 시스템은 일반적인 문서 자동분류 시스템과 기본적인 동작방법은 동일하다. 본 논문에서는 노동법에 관련된 판례를 대상으로 지지벡터기계(SVM), 단일 의사결정나무, 복수 의사결정나무, 신경망 기법 등을 사용하여 문서의 자동 분류 실험을 수행하고, 판례분류에 가장 적합한 기계학습기법이 무엇인지를 실험해 보았다. 실험 결과 복수 의사결정나무가 93%로 가장 높은 정확도를 나타내었다.

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NEW RECOGNITION AND IDENTIFICATION MERHOD FOR MICRO-ORGANISMS BY EXPERT SYSTEM DRIVEN IMAGE PROCESSING

  • Fukuda, Toshio;Hasegawa, Osamu
    • 제어로봇시스템학회:학술대회논문집
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    • 1989.10a
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    • pp.1005-1010
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    • 1989
  • A refined version of automatic micro-organism recognition and identification method, 'O.I.S.M.2' is proposed in this paper, using image processing based on an expert system. This proposed method is based on the segmentation of the organism image, characterizing segment features, which are independent of individual size and length. Complicated shapes of organisms are divided into basic shape segments defined in this paper such as lines, circles, ovals etc. Organisms can then be expressed simply in a set of segments, regardless their individual differences.

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