• Title/Summary/Keyword: Automation sequence

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Analysis of Sequence Sorting Automation for Mail Item (자동기계에 의한 우편물 순로구분 동향)

  • Song, J.G.;Hwang, J.G.;Park, M.S.;Nam, Y.S.;Kim, H.K.
    • Electronics and Telecommunications Trends
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    • v.15 no.6 s.66
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    • pp.198-204
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    • 2000
  • 자동구분기계에 의한 우편물 처리 절차는 수집된 우편물을 우편집중국으로 보내고 OVIS를 이용하여 우편물에 기재된 우편번호를 인식하여 바코드로 변환한 다음 우편물에 바코드를 인쇄한다. 이 우편물은 LSM에 의해 바코드를 자동 판독하여 분류한 다음 각 지역별로 운송하게 된다. 운송된 우편물은 배달우체국으로 보내지게 되고 배달원이 자신의 배달구역의 우편물을 가지고 각 가정이나 사무실 등에 우편물을 배달하게 된다. 이 우편물을 배달순서대로 정렬하는 과정을 순로구분이라고 하는데, 우편물의 자동처리에 있어 가장 많은 시간이 소요되는 부분은 바로 이 순로구분 과정이다. 현재는 이 과정을 배달원이 자신의 경험에 의해 수작업으로 처리하고 있는 실정이며 우편물을 신속하고 정확하게 처리하고 원가를 절감하기 위해서는 기계에 의한 순로구분자동화가 이뤄져야 한다. 특히, 우편물의 익일배달체계를 실현하기 위해서는 순로구분이 자동으로 이뤄져야 한다. 이에, 본 고는 우리나라의 순로구분자동화 방안을 모색하기 위해 우정선진국의 순로구분자동화 동향을 분석하였다.

A Segmentation Method for a Moving Object on A Static Complex Background Scene. (복잡한 배경에서 움직이는 물체의 영역분할에 관한 연구)

  • Park, Sang-Min;Kwon, Hui-Ung;Kim, Dong-Sung;Jeong, Kyu-Sik
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.3
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    • pp.321-329
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    • 1999
  • Moving Object segmentation extracts an interested moving object on a consecutive image frames, and has been used for factory automation, autonomous navigation, video surveillance, and VOP(Video Object Plane) detection in a MPEG-4 method. This paper proposes new segmentation method using difference images are calculated with three consecutive input image frames, and used to calculate both coarse object area(AI) and it's movement area(OI). An AI is extracted by removing background using background area projection(BAP). Missing parts in the AI is recovered with help of the OI. Boundary information of the OI confines missing parts of the object and gives inital curves for active contour optimization. The optimized contours in addition to the AI make the boundaries of the moving object. Experimental results of a fast moving object on a complex background scene are included.

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Automation Planning System of Block assembly using an OPEN CASCADE (OPEN CASCADE를 이용한 블록조립 자동 계획 시스템)

  • Sheen, Dong-Mok;Choi, Sang-Su
    • Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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    • 2003.05a
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    • pp.17-21
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    • 2003
  • This paper presents a CAD interface system that imports CAD model data and exports input information to a CAPP(Compute Aided Process Planning) system to generate a sequence for block assembly operations. In developing this system we use an open architecture CAD kernel, OpenCASCASE. The functions of the system developed are visualization of the product, definition of relations between parts, and generation of relation graph and input file for CAPP. The functions are demonstrated with a simple example.

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Distributed Restoration Solution Algorithm Improving Reliability in Intelligent Distribution Management System (신뢰성이 향상된 배전지능화 시스템의 복구해 알고리즘)

  • Lim, Il-Hyung;Choi, Myeon-Song;Lee, Seung-Jae;Lee, Sung-Woo;Kwon, Sung-Chul
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.9
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    • pp.1651-1657
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    • 2009
  • In this paper, restoration solution algorithm to improve reliability better than restoration system of DAS(Distribution Automation System) is proposed in IDMS(Intelligent Distribution Management System). A strategy of IDMS restoration system to improve reliability and efficiency is proposed by analysis restoration system in DAS. Restoration sequence algorithm, distributed restoration solution algorithm considering a characteristic and a suitable restoration solution algorithm in IDMS are proposed. In the case study, algorithms have testified with example distribution network by C language

DNA chip technology

  • Lee, Sang-Yeop;Yun, Seong-Ho;Choe, Jong-Gil;Im, Geun-Bae
    • 한국생물공학회:학술대회논문집
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    • 2000.11a
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    • pp.119-122
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    • 2000
  • Biological science is being revolutionized by the availability of much sequence information from many genome project With the advanced technology at hand, main trend in biological research is rapidly changing from a structural DNA analysis to understanding cellular function of the DNA sequences. Combined with mechanics, computer, bioinformatics and other advanced technologies, DNA chip technology provides numerous applications because of its robustness, accuracy, and automation. DNA chip is expected to become an indispensable tool in fields of biology, biotechnology, drug discovery, and other application areas. DNA chip can be used for mutation and polymorphism detection, gene expression monitoring and phenotypic analysis as well. If DNA chip is used for the development of pharmaceutical products, it can considerably reduce the cost and time for the entire process of drug discovery and development, and can also contribute in developing personal drugs.

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Automatic Commissioning of Vector Controlled Induction Motors Using Walsh Function (Walsh 함수를 이용한 벡터제어용 유도전동기 정수값의 자동 설정)

  • Choi, Hyun-Sung;Sul, Seung-ki
    • Proceedings of the KIEE Conference
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    • 1998.11a
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    • pp.159-162
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    • 1998
  • In this paper, an algorithm of the automatic commissioning for vector controlled induction motor using controller characteristics is proposed. The automation of commissioning sequence is carried out using Walsh function analysis. In the proposed method, the distortion of the controller output waveform is easily detected and can be automatically tuned by using Walsh function analysis. This tuning algorithm has the advantage such as less sensitivity to the variation of other parameters and high sensitivity to parameter error. Hence, the easy tuning of high performance drive system of the induction motor is possible. Some experiments are carried out to prove the validity of the proposed automatic commissioning algorithm.

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Muti-Order Processing System for Smart Warehouse Using Mutant Ant Colony Optimization (돌연변이 개미 군집화 알고리즘을 이용한 스마트 물류 창고의 다중 주문 처리 시스템)

  • Chang Hyun Kim;Yeojin Kim;Geuntae Kim;Jonghwan Lee
    • Journal of the Semiconductor & Display Technology
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    • v.22 no.3
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    • pp.36-40
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    • 2023
  • Recently, in the problem of multi-order processing in logistics warehouses, multi-pickup systems are changing from the form in which workers walk around the warehouse to the form in which goods come to workers. These changes are shortening the time to process multiple orders and increasing production. This study considered the sequence problem of which warehouse the items to be loaded on each truck come first and which items to be loaded first when loading multiple pallet-unit goods on multiple trucks in an industrial smart logistics automation warehouse. To solve this problem efficiently, we use the mutant algorithm, which combines the GA algorithm and ACO algorithm, and compare with original system.

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LSTM Language Model Based Korean Sentence Generation (LSTM 언어모델 기반 한국어 문장 생성)

  • Kim, Yang-hoon;Hwang, Yong-keun;Kang, Tae-gwan;Jung, Kyo-min
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.5
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    • pp.592-601
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    • 2016
  • The recurrent neural network (RNN) is a deep learning model which is suitable to sequential or length-variable data. The Long Short-Term Memory (LSTM) mitigates the vanishing gradient problem of RNNs so that LSTM can maintain the long-term dependency among the constituents of the given input sequence. In this paper, we propose a LSTM based language model which can predict following words of a given incomplete sentence to generate a complete sentence. To evaluate our method, we trained our model using multiple Korean corpora then generated the incomplete part of Korean sentences. The result shows that our language model was able to generate the fluent Korean sentences. We also show that the word based model generated better sentences compared to the other settings.

A Development of Unbalanced Box Stacking System with High Stability using the Center of Gravity Measurement (무게중심 측정을 이용한 불평형 상자의 고안정 적재 시스템 개발)

  • Seong-Woo Bae;Dae-Gyu Han;Jae-Ho Ryu;Hyeon-hui Lee;Chae-Hun An
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.1
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    • pp.229-237
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    • 2024
  • The logistics industry is converging with digital technology and growing into various logistics automation systems. However, inspection and loading/unloading, which are mainly performed in logistics work, depend on human resources, and the workforce is shrinking due to the decline in the productive population due to the low birth rate and aging. Although much research is being conducted on the development of automated logistics systems to solve these problems, there is a lack of research and development on load stacking stability, which has the potential to cause significant accidents. In this study, loading boxes with various sizes and positions of the center of gravity were set up, and a method for stacking that with high stability is presented. The size of the loading box is measured using a depth camera. The loading box's weight and center of gravity are measured and estimated by a developed device with four loadcells. The measurement error is measured through various repeated experiments and is corrected using the least squares method. The robot arm performs load stacking by determining the target position so that the centers of gravity of the loading boxes with unbalanced masses with a random sequence are transported in alignment. All processes were automated, and the results were verified by experimentally confirming load stacking stability.

Postal Envelope Image Recognition System for Postal Automation (서장 우편물 자동처리를 위한 우편영상 인식 시스템)

  • Kim, Ho-Yon;Lim, Kil-Taek;Kim, Doo-Sik;Nam, Yun-Seok
    • The KIPS Transactions:PartB
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    • v.10B no.4
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    • pp.429-442
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    • 2003
  • In this paper, we describe an address image recognition system for automatic processing of standard- size letter mail. The inputs to the system are gray-level mail piece images and the outputs are delivery point codes with which a delivery sequence of carrier can be generated. The system includes five main modules; destination address block location, text line separation, character segmentation, character recognition and finally address interpretation. The destination address block is extracted on the basis of experimental knowledge and the line separation and character segmentation is done through the analysis of connected components and vortical runs. For recognizing characters, we developed MLP-based recognizers and dynamical programming technique for interpretation. Since each module has been implemented in an independent way, the system has a benefit that the optimization of each module is relatively easy. We have done the experiment with live mail piece images directly sampled from mail sorting machine in Yuseong post office. The experimental results prove the feasibility of our system.