• Title/Summary/Keyword: Process map

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A Method for Determination of 3D-Electrical Discharge Machining Parameters Using Z-map (Z-map을 이용한 3차원 방전가공조건의 결정방법)

  • 주상윤;이건범
    • Korean Journal of Computational Design and Engineering
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    • v.4 no.4
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    • pp.355-359
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    • 1999
  • This paper presents a method for determining machining parameters in electrical discharge machining process (EDM) based on discharge area. The parameters are the peak value of currents, the pulse-on time, and the pulse-off time, on which the EDM performance depends chiefly. The optimal machining parameters are closely related on discharge area, which can be calculated from a tool electrode and a discharge height. In the paper the discharge area is obtained from NC code for machining the tool electrode instead of its geometric model. The method consists of following three steps. First a Z-Map model is constructed from the NC code. Secondly, the discharge area is obtained from the Z-Map model and a Z-height. Finally, the machining parameters are calculated from the discharge area. An introduced example shows that the machining parameters are calculated by the using a Z-map model obtained from the machining data for a tool electrode.

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Fuzzy Inference Mechanism Based on Fuzzy Cognitive Map for B2B Negotiation

  • Lee, Kun-Chang;Kang, Byung-Uk
    • Proceedings of the CALSEC Conference
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    • 2004.02a
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    • pp.134-149
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    • 2004
  • This paper is aimed at proposing a fuzzy inference mechanism to enhancing the quality of cognitive map-based inference. Its main virtue lies in the two mechanisms: (1) a mechanism for avoiding a synchronization problem which is often observed during inference process with traditional cognitive map, and (2) a mechanism for fuzzifying decision maker's subjective judgment. Our proposed fuzzy inference mechanism (FIM) is basically based on the cognitive map stratification algorithm which can stratify a cognitive map into number of strata and then overcome the synchronization problem successfully. Besides, the proposed FIM depends on fuzzy membership function which is administered by decision maker. With an illustrative B2B negotiation problem, we applied the proposed FIM, deducing theoretical and practical implications. Implementation was conducted by Matlab language.

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A Study on the Automatic Generation of Digital Elevation Map based on Contour Map (등고선 지도를 기반으로 한 수치 지형도 자동생성에 관한 연구)

  • Kim, Hae-Jung;Kim, Joon-Seek
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.2
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    • pp.558-568
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    • 2000
  • In the paper, we propose the automatic generation method of digital elevation map based on contour map. The proposed method classifies contour data and non-contour data by thinning and labelling process of the contour line and then connects smoothly broken contour line by Bezier curve. Finally, the digital devation map is generated by the interpolation using the height data of the contour line. The proposed method can reduce vest effort, time and expense which is spend to make digital elevation map.

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Leveled Spatial Indexing Technique supporting Map Generalization (지도 일반화를 지원하는 계층화된 공간 색인 기법)

  • Lee, Ki-Jung;WhangBo, Taeg-Keun;Yang, Young-Kyu
    • Journal of Korea Spatial Information System Society
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    • v.6 no.2 s.12
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    • pp.15-22
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    • 2004
  • Map services for cellular phone have problem for implementation, which are the limitation of a screen size. To effectively represent map data on screen of celluar phone, it need a process which translate a detailed map data into less detailed data using map generalization, and it should manipulate zoom in out quickly by leveling the generalized data. However, current spatial indexing methods supporting map generalization do not support all map generalization operations. In this paper, We propose a leveled spatial indexing method, LMG-tree, supporting map generalization and presents the results of performance evaluation.

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A Study on the Combinational Allocation Method using Hand-Drawn Map Overlay Technique in Landscape Planning (조경계획에 있어서 수작도면중첩기법을 적용한 조합적 배분법에 관 한 연구)

  • 김영대
    • Journal of the Korean Institute of Landscape Architecture
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    • v.20 no.2
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    • pp.119-126
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    • 1992
  • The purpose of this study is to develop the allocation method which could be applied to the transitional stage between analysis and synthesis to select the best alternative in landscape planning process. By using the matrix of alternatives with site-planning elements locational drawing in each, the combinational allocation method can make the process more rational and also more efficient. Hand-drawn map overlay technique accommodates the work I handy way. The method is useful in building conceptual scheme in landscape planning especially when it is applied to small scale project.

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MAP/G/1/K QUEUE WITH MULTIPLE THRESHOLDS ON BUFFER

  • Choi, Doo-Il
    • Communications of the Korean Mathematical Society
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    • v.14 no.3
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    • pp.611-625
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    • 1999
  • We consider ΜΑΡ/G/ 1 finite capacity queue with mul-tiple thresholds on buffer. The arrival of customers follows a Markov-ian arrival process(MAP). The service time of a customer depends on the queue length at service initiation of the customer. By using the embeded Markov chain method and the supplementary variable method, we obtain the queue length distribution ar departure epochs and at arbitrary epochs. This gives the loss probability and the mean waiting time by Little's law. We also give a simple numerical examples to apply the overload control in packetized networks.

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A Visualization Scheme with a Calendar Heat Map for Abnormal Pattern Analysis in the Manufacturing Process

  • Chankhihort, Doung;Lim, Byung-Muk;Lee, Gyu-Jung;Choi, Sungsu;Kwon, Sun-Ock;Lee, Sang-Hyun;Kang, Jeong-Tae;Nasridinov, Aziz;Yoo, Kwan-Hee
    • International Journal of Contents
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    • v.13 no.2
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    • pp.21-28
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    • 2017
  • Abnormal data in the manufacturing process makes it difficult to find useful information that can be applied in data management for the manufacturing industry. It causes various problems in the daily process of production. An issue from the abnormal data can be handled by our method that uses big data and visualization. Visualization is a new technology that transforms data representation into a two-dimensional representation. Nowadays, many newly developed technologies provide data analysis, algorithm, optimization, and high efficiency, and they meet user requirements. We propose combined production of the data visualization approach that uses integrative visualization of sources of abnormal pattern analysis results. The perceived idea of the proposed approach can solve the problem as it also works for big data. It can also improve the performance and understanding by using visualization and solving issues that occur in the manufacturing process with a calendar heat map.

AVM Stop-line Detection based Longitudinal Position Correction Algorithm for Automated Driving on Urban Roads (AVM 정지선인지기반 도심환경 종방향 측위보정 알고리즘)

  • Kim, Jongho;Lee, Hyunsung;Yoo, Jinsoo;Yi, Kyongsu
    • Journal of Auto-vehicle Safety Association
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    • v.12 no.2
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    • pp.33-39
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    • 2020
  • This paper presents an Around View Monitoring (AVM) stop-line detection based longitudinal position correction algorithm for automated driving on urban roads. Poor positioning accuracy of low-cost GPS has many problems for precise path tracking. Therefore, this study aims to improve the longitudinal positioning accuracy of low-cost GPS. The algorithm has three main processes. The first process is a stop-line detection. In this process, the stop-line is detected using Hough Transform from the AVM camera. The second process is a map matching. In the map matching process, to find the corrected vehicle position, the detected line is matched to the stop-line of the HD map using the Iterative Closest Point (ICP) method. Third, longitudinal position of low-cost GPS is updated using a corrected vehicle position with Kalman Filter. The proposed algorithm is implemented in the Robot Operating System (ROS) environment and verified on the actual urban road driving data. Compared to low-cost GPS only, Test results show the longitudinal localization performance was improved.

The Map Generalization Methodology for Korean Cadastral Map using Topographic Map (수치지형도를 이용한 연속지적도의 지도 일반화 기법 연구)

  • Park, Woo-Jin;Lee, Jae-Eun;Yu, Ki-Yun
    • Spatial Information Research
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    • v.19 no.1
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    • pp.73-82
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    • 2011
  • Recently, demand for the use of cadastral map is increasing in both public and private area. To use cadastral map in web or mobile environment, construction of the multi-representation database(MRDB) that is the compressed into multiple scale from the original map data is recommended. In this study, the map generalization methodology for the cadastral map by applying overlay with topographic map and polygon generalization technique is suggested. This process is composed of three steps, re-constructing the network data of topographic map, polygon merging of parcel lines according to network degree, and applying line simplification techniques. Proposed methodologies are applied to the cadastral map in Suwon area. The result map was generalized into 1:5,000, 1:20,000, 1:100,000 scale, and data compression ratio was shown in 15% 8% 1% level respectively.

Development and usability evaluation of a Collaborative Mind map Authoring Tool (협업을 위한 공동 작업용 마인드맵 도구 개발 및 사용성 평가)

  • Sin, Eun Joo;Choi, Ja-Ryoung;Im, Su Jie;Lim, Ji Su;Choi, Yu Jin;Lim, Soon Bum
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.1
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    • pp.187-192
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    • 2018
  • Mind map is a very useful technique for brainstorming. Therefore, it can be effectively used for collaboration as a creative group conception. However, existing mind map software is not possible to collaborate because it is difficult to share mind map or discuss among members. In this study, we developed a mind map system that can support collaborative work as well as individual authoring and editing. This can incorporate individual mind maps of members into mind map of team, share and discuss them, and modify the mind map. This is convenient because it does not require a separate program installation, and verifies usability to support the process of collaborative process through usability evaluation.