• Title/Summary/Keyword: efficiency map

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Bundle Adjustment of Aerial Photographs using GCP Image Chip (영상칩 지상기준점을 이용한 항공사진 번들조정)

  • 김기홍;손홍규;김호성;백종하;이재원
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.11a
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    • pp.239-243
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    • 2004
  • Recently various thematic maps and image maps using aerial photograph and satellite imagery are frequently made. The geo-referencing is essential to make image map and topographic map using aerial photograph and satellite imagery. For this geo-referencing, Ground Control Points (GCPs) are needed. In this paper, we used GPS relative positioning to measure GCP ground coordinate and the accuracy of 8cm level was achieved. We made GCP image chips for the efficiency of geo-referencing and carried out the bundle adjustment of aerial photographs using GCP image chips to acquire the GCP photo coordinate with image matching technique. Finally we analyzed the accuracy of bundle adjustment compared to the accuracy of the case in using digital maps to acquire GCP photo coordinate.

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ICT Standardization Road map for Smart Farming (스마트 농업을 위한 ICT 표준화 로드맵)

  • Kim, Dong il;Chung, Hee Chang;Moon, Ae Kyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.611-614
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    • 2015
  • IT convergence with agriculture is expected to bring more efficiency and quality improvement in producing, distributing, consuming of agricultural products with the aid of information processing and autonomous control technologies of the IT area. In this paper, it is required to consider the actualized IT convergence case for agriculture, namely Smart Farming as a solution to cope the presented problems. In addition, suggest to ICT standardization road map for the smart farming based on network.

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The Path Planning for Mobile Robot Using the Line Segment Information (선소 정보를 이용한 로봇의 경로계획)

  • Kim, Byung-Gon;Lee, Kwae-Hi
    • Proceedings of the KIEE Conference
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    • 1998.11b
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    • pp.514-516
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    • 1998
  • A Mobile Robot should be able to navigate safely in the workspaces without any additional human's helps. In this paper, a method to generate the safe path to avoid the unknown obstacles using the pre-knowledge of the workspaces was proposed. For the efficiency of the algorithm, it is proposed to model the obstacles as the line segments in numerical map, which can reduce the required memory size and give the simple forms. To make the environments map, we used the Hough transform and the sonar measurements is converted to the set of line segments by Hough transform. In this algorithm, the subgoals are generated to avoid the obstacles until a mobile robot arrives the final position using the proposed environmental model.

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Double-Blind Compact E-cash from Bilinear Map

  • Chen, Jiyang;Lian, Bin;Li, Yongjie;Cui, Jialin;Yu, Ping;Shu, Zhenyu;Tao, Jili
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.4
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    • pp.1266-1285
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    • 2022
  • Compact E-cash is the first scheme which can withdraw 2l coins within 𝒪(1) operations and then store them in 𝒪(𝑙) bits. Because of its high efficiency, a lot of research has been carried out on its basis, but no previous research pay attention to the privacy of payees and in some cases, payees have the same privacy requirement as payers. We propose a double-blind compact E-cash scheme, which means that both the payer and the payee can keep anonymous while spending. In our scheme, the payer and the bank cannot determine whether the payees of two different transactions are the same one and connect the payee with transactions related to him, in this way, the privacy of the payee is protected. And our protocols disconnect the received coin from previous transaction, then, the coin can be transferred into an unspent coin which belongs to the payee. The proposed e-cash scheme is secure within y-DDHI and LRSW assumption.

Deep Learning-Based Defect Detection in Cu-Cu Bonding Processes

  • DaBin Na;JiMin Gu;JiMin Park;YunSeok Song;JiHun Moon;Sangyul Ha;SangJeen Hong
    • Journal of the Semiconductor & Display Technology
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    • v.23 no.2
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    • pp.135-142
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    • 2024
  • Cu-Cu bonding, one of the key technologies in advanced packaging, enhances semiconductor chip performance, miniaturization, and energy efficiency by facilitating rapid data transfer and low power consumption. However, the quality of the interface bonding can significantly impact overall bond quality, necessitating strategies to quickly detect and classify in-process defects. This study presents a methodology for detecting defects in wafer junction areas from Scanning Acoustic Microscopy images using a ResNet-50 based deep learning model. Additionally, the use of the defect map is proposed to rapidly inspect and categorize defects occurring during the Cu-Cu bonding process, thereby improving yield and productivity in semiconductor manufacturing.

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Potential Mapping of Mountainous Wetlands using Weights of Evidence Model in Yeongnam Area, Korea (Weight of Evidence 기법을 이용한 영남지역의 산지습지 가능지역 추출)

  • Baek, Seung-Gyun;Jang, Dong-Ho
    • Journal of The Geomorphological Association of Korea
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    • v.20 no.1
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    • pp.21-33
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    • 2013
  • Weight of evidence model was applied for potential mapping of mountainous wetland to reduce the range of the field survey and to increase the efficiency of operations because the surveys of mountainous wetland need a lot of time and money owing to inaccessibility and extensiveness. The relationship between mountainous wetland location and related factors is expressed as a probability by Weight of evidence model. For this, the spatial database consist of slope map, curvature map, vegetation index map, wetness index map, soil drainage rating map was constructed in Yeongnam area, Korea, and weights of evidence based on the relationship between mountainous wetland location and each factor rating were calculated. As a result of correlation analysis between mountainous wetland location and each factors rating using likelihood ratio values, the probability of mountainous wetlands were increased at condition of lower slope, lower curvature, lower vegetation index value, lower wetness value, moderate soil drainage rating. Mountainous Wetland Potential Index(MWPI) was calculated by summation of the likelihood ratio and mountainous wetland potential map was constucted from GIS integration. The mountain wetland potential map was verified by comparison with the known mountainous wetland locations. The result showed the 75.48% in prediction accuracy.

Fast Micro-mobility Management Scheme without DAD Session in HMIPv6 Networks (계층적 Mobile IPv6 기반의 빠른 Micromobility 관리 프로토콜)

  • Lee, Sung-Kuen;Kim, Eal-Lae;Lim, Tae-Hyung;Jeong, Seok-Jong;Park, Jin-Woo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.7A
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    • pp.746-754
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    • 2007
  • In this paper, we propose a fast handoff algorithm for micromobility management enhancement in HMIPv6 networks, which eliminates the DAD procedure involved in the regular HMIPv6 in order to o decrease handoff latency and increase the resource utilization efficiency. In the proposed scheme, the MAP is designed to guarantee the uniqueness of MN's interface identifier within a MAP domain as long as the MN moves in a MAP domain, so that the MN configures the new address without the DAD procedure resulting in the decreased handoff latency significantly When the MN resides in a subnet, MIPv6 is used adaptively as a mobility management protocol, which is to reduce bandwidth waste from the IP packet header overhead of IP-in-IP tunneling from the regular HMIPv6. We evaluate the performance of the proposed handoff micromobility algorithm in terms of handoff delay and packet loss thru computer simulation. Thru various computer simulation results, we verified the superior performance of the proposed scheme by comparing with the results of other schemes, MIPv6 and HMIPv6.

An Algorithms for Tournament-based Big Data Analysis (토너먼트 기반의 빅데이터 분석 알고리즘)

  • Lee, Hyunjin
    • Journal of Digital Contents Society
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    • v.16 no.4
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    • pp.545-553
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    • 2015
  • While all of the data has a value in itself, most of the data that is collected in the real world is a random and unstructured. In order to extract useful information from the data, it is need to use the data transform and analysis algorithms. Data mining is used for this purpose. Today, there is not only need for a variety of data mining techniques to analyze the data but also need for a computational requirements and rapid analysis time for huge volume of data. The method commonly used to store huge volume of data is to use the hadoop. A method for analyzing data in hadoop is to use the MapReduce framework. In this paper, we developed a tournament-based MapReduce method for high efficiency in developing an algorithm on a single machine to the MapReduce framework. This proposed method can apply many analysis algorithms and we showed the usefulness of proposed tournament based method to apply frequently used data mining algorithms k-means and k-nearest neighbor classification.

Site Selection and Potential Analysis using the Frame for Assessing Environmental-friendly Wind Power Plant (환경친화적 풍력단지 평가체계 구축을 통한 입지선정 및 잠재량 분석)

  • Kim, Eunyoung;Jeon, Seong-Woo;Kim, Yu-Hoon;Lee, Jungwon;Song, Wonkyong;Kim, Hyun-Goo
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.17 no.4
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    • pp.17-27
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    • 2014
  • Wind power which is one of renewable energies is higher economical efficiency and technical maturity than other renewable energies. Recently, the government of ROK announced to increase the proportion of renewable energy through the National Energy Plan. Also, industry required to deregulate for large-scale wind power as Renewable Portfolio Standard (RPS) is introduced. Wind power whereas the eco-friendly energy, is a serious level of damage of the natural environment and topography when the wind power is located. Therefore, the study selected the indicators required for site selection of wind power and proposed the feasible area for wind power based on wind resource map. We selected the 15 indicators including 12 legal protected area, Ecology and Nature Map, rarity, and connectivity (National Ecological Network). After site selection, we should be considered slope and altitude at the stage of design for wind farm to mitigate the environmental impact. Results of analysis showed that 22.3% of wind resource map is available to locate wind power in real. Through the field survey we had verified the accuracy of the results was significantly correct.

Comparison of Voxel Map and Sphere Tree Structures for Proximity Computation of Protein Molecules (단백질 분자에 대한 proximity 연산을 위한 복셀 맵과 스피어 트리 구조 비교)

  • Kim, Byung-Joo;Lee, Jung-Eun;Kim, Young-J.;Kim, Ku-Jin
    • Journal of Korea Multimedia Society
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    • v.15 no.6
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    • pp.794-804
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    • 2012
  • For the geometric computations on the protein molecules, the proximity queries, such as computing the minimum distance from an arbitrary point to the molecule or detecting the collision between a point and the molecule, are essential. For the proximity queries, the efficiency of the computation time can be different according to the data structure used for the molecule. In this paper, we present the data structures and algorithms for applying proximity queries to a molecule with GPU acceleration. We present two data structures, a voxel map and a sphere tree, where the molecule is represented as a set of spheres, and corresponding algorithms. Moreover, we show that the performance of presented data structures are improved from 3 to 633 times compared to the previous data structure for the molecules containing 1,000~15,000 atoms.