• Title/Summary/Keyword: Map Applications

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An Approach to Improve the Contrast of Multi Scale Fusion Methods

  • Hwang, Tae Hun;Kim, Jin Heon
    • Journal of Multimedia Information System
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    • v.5 no.2
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    • pp.87-90
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    • 2018
  • Various approaches have been proposed to convert low dynamic range (LDR) to high dynamic range (HDR). Of these approaches, the Multi Scale Fusion (MSF) algorithm based on Laplacian pyramid decomposition is used in many applications and demonstrates its usefulness. However, the pyramid fusion technique has no means for controlling the luminance component because the total number of pixels decreases as the pyramid rises to the upper layer. In this paper, we extract the reflection light of the image based on the Retinex theory and generate the weight map by adjusting the reflection component. This weighting map is applied to achieve an MSF-like effect during image fusion and provides an opportunity to control the brightness components. Experimental results show that the proposed method maintains the total number of pixels and exhibits similar effects to the conventional method.

Pedestrian identification in infrared images using visual saliency detection technique

  • Truong, Mai Thanh Nhat;Kim, Sanghoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.05a
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    • pp.615-618
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    • 2019
  • Visual saliency detection is an important part in various vision-based applications. There are a myriad of techniques for saliency detection in color images. However, the number of methods for saliency detection in infrared images is inadequate. In this paper, we introduce a simple approach for pedestrian identification in infrared images using saliency. The input image is thresholded into several Boolean maps, an initial saliency map is then calculated as a weighted sum of created Boolean maps. The initial map is further refined by using thresholding, morphology operation, and Gaussian filter to produce the final, high-quality saliency map. The experiment showed that the proposed method produced high performance results when applied to real-life data.

Changes in SNR and ADC According to the Increase in b Value in Liver Diffusion-Weighted Images

  • Cho, Jae-Hwan;Kim, Ham-Gyum
    • Journal of Magnetics
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    • v.17 no.3
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    • pp.219-224
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    • 2012
  • In the present study, changes in signal-to-noise ratio (SNR) and apparent diffusion coefficient (ADC) of the diffusion-weighted images in the normal livers were investigated using changes in b values in 1.5 T MR (magnetic resonance) instruments. Respective diffusion-weighted images and ADC map images were obtained from 20 healthy individuals by increasing b values from 50 to 400 and 800 $s/mm^2$ using 1.5T MR scanner between January 2011 and November 2011. At each ADC map image obtained at each b value, ADCs in the right hepatic lobe, spleen and kidney were measured. As a result, ADCs of the right hepatic lobe, spleen and kidney have gradually decreased in the diffusion-weighted images in accordance with the reduced b value. This outcome may be used as preliminary data for applications to various abdominal diseases.

Knowledge Mapping of Robotic Applications in Tourism and Hospitality

  • Huiyue, Ye;Sirong, Chen;Rob, Law;Lawrence Hoc Nang, Fong
    • Journal of Smart Tourism
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    • v.2 no.4
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    • pp.11-23
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    • 2022
  • The use of robots in tourism and hospitality contexts have drawn increasing scholarly and practical regard. Although the number of recent robotics related studies continue to grow, a general knowledge map, which is important to point out promising directions for future studies, remains to be made. To understand the application of robotics in tourism and hospitality, this study conducts descriptive and bibliometric analysis to present a holistic knowledge map of this specific field where research trend, key contributors, highly cited references, and popular themes were identified. Collaboration networks among institutes and regions were additionally illustrated. Collaboration across fields, industries, and perspectives were encouraged following the findings and both theoretical and practical implications are accordingly provided.

VotingRank: A Case Study of e-Commerce Recommender Application Using MapReduce

  • Ren, Jian-Ji;Lee, Jae-Kee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2009.04a
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    • pp.834-837
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    • 2009
  • There is a growing need for ad-hoc analysis of extremely large data sets, especially at e-Commerce companies which depend on recommender application. Nowadays, as the number of e-Commerce web pages grow to a tremendous proportion; vertical recommender services can help customers to find what they need. Recommender application is one of the reasons for e-Commerce success in today's world. Compared with general e-Commerce recommender application, obviously, general e-Commerce recommender application's processing scope is greatly narrowed down. MapReduce is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data mining, and scientific simulation. The objective of this paper is to explore MapReduce framework for the e-Commerce recommender application on major general and dedicated link analysis for e-Commerce recommender application, and thus the responding time has been decreased and the recommender application's accuracy has been improved.

ON TRANSLATION LENGTHS OF PSEUDO-ANOSOV MAPS ON THE CURVE GRAPH

  • Hyungryul Baik;Changsub Kim
    • Bulletin of the Korean Mathematical Society
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    • v.61 no.3
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    • pp.585-595
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    • 2024
  • We show that a pseudo-Anosov map constructed as a product of the large power of Dehn twists of two filling curves always has a geodesic axis on the curve graph of the surface. We also obtain estimates of the stable translation length of a pseudo-Anosov map, when two filling curves are replaced by multicurves. Three main applications of our theorem are the following: (a) determining which word realizes the minimal translation length on the curve graph within a specific class of words, (b) giving a new class of pseudo-Anosov maps optimizing the ratio of stable translation lengths on the curve graph to that on Teichmüller space, (c) giving a partial answer of how much power is needed for Dehn twists to generate right-angled Artin subgroup of the mapping class group.

Sort-Based Distributed Parallel Data Cube Computation Algorithm using MapReduce (맵리듀스를 이용한 정렬 기반의 데이터 큐브 분산 병렬 계산 알고리즘)

  • Lee, Suan;Kim, Jinho
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.9
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    • pp.196-204
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    • 2012
  • Recently, many applications perform OLAP(On-Line Analytical Processing) over a very large volume of data. Multidimensional data cube is regarded as a core tool in OLAP analysis. This paper focuses on the method how to efficiently compute data cubes in parallel by using a popular parallel processing tool, MapReduce. We investigate efficient ways to implement PipeSort algorithm, a well-known data cube computation method, on the MapReduce framework. The PipeSort executes several (descendant) cuboids at the same time as a pipeline by scanning one (ancestor) cuboid once, which have the same sorting order. This paper proposed four ways implementing the pipeline of the PipeSort on the MapReduce framework which runs across 20 servers. Our experiments show that PipeMap-NoReduce algorithm outperforms the rest algorithms for high-dimensional data. On the contrary, Post-Pipe stands out above the others for low-dimensional data.

A Study on the Change Detection of Multi-temporal Data - A Case Study on the Urban Fringe in Daegu Metropolitan City - (대도시 주변지역의 토지이용변화 - 대구광역시를 중심으로 -)

  • 박인환;장갑수
    • Journal of the Korean Institute of Landscape Architecture
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    • v.30 no.1
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    • pp.1-10
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    • 2002
  • The purpose of this article is to examine land use change in the fringe area of a metropolitan city through multi-temporal data analysis. Change detection has been regarded as one of the most important applications for utilization of remotely sensed imageries. Conventionally, two images were used for change detection, and Arithmetic calculators were generally used on the process. Meanwhile, multi-temporal change detection for a large number of images has been carried out. In this paper, a digital land-use map and three Landsat TM data were utilized for the multi-temporal change detection Each urban area map was extracted as a base map on the process of multi-temporal change detection. Each urban area map was converted to bit image by using boolean logic. Various urban change types could be obtained by stacking the urban area maps derived from the multi-temporal data using Geographic Information System(GIS). Urban change type map was created by using the process of piling up the bit images. Then the urban change type map was compared with each land cover map for the change detection. Dalseo-gu of Daegu city and Hwawon-eup of Dalsung-gun, the fringe area of Daegu Metropolitan city, were selected for the test area of this multi-temporal change detection method. The districts are adjacent to each other. Dalseo-gu has been developed for 30 yeais and so a large area of paddy land has been changed into a built-up area. Hwawon-eup, near by Dalseo-gu, has been influenced by the urbanization of Dalseo-gu. From 1972 to 1999, 3,507.9ha of agricultural area has been changed into other land uses, while 72.7ha of forest area has been altered. This agricultural area was designated as a 'Semi-agricultural area'by the National landuse Management Law. And it was easy for the preserved area to be changed into a built-up area once it would be included as urban area. Finally, the method of treatment and management of the preserved area needs to be changed to prevent the destruction of paddy land by urban sprawl on the urban fringe.

FDDI Throughput and Application Analysis of MAP Network Construction in Manufactruing Environment (제조 환경에서 MAP 네트워크 체제의 FDDI 효율과 적용 해석)

  • Kim, Jeong-Ho;Lee, Min-Nam;Lee, Sang-Beom
    • The Transactions of the Korea Information Processing Society
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    • v.2 no.1
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    • pp.95-105
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    • 1995
  • An appendix to the MAP 3.0 specification notes that there are primary advantages to use of fiber optics : noise immunity, ability to run in difficult electrical environments, safety and high data rates. All of these may be quite useful in various manufacturing environments. In this paper, we study on construction schmes for a fiber-based 802.4 MAP system including the use of both bus and star topologies. We suggest passive star network and FDDI network for manufacturing environment. And then, we propose the FDDI protocol including the use a dual ring topology running at 100 Mbps to physical and datalink layer of MAT specification and analysis it's protocol and topology for abilities in manufacturing environments, We evaluate about applications service, time-critical processing and topology of two models in manufacturing environment.

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A Study on Compression and Decompression of Bit Map Data by NibbleRLE Code (니블 RLE 코드에 의한 비트 맵 데이타의 압축과 복원에 관한 연구)

  • Jo, Gyeong-Yeon
    • The Transactions of the Korea Information Processing Society
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    • v.2 no.6
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    • pp.857-865
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    • 1995
  • In this paper, a nibble RLE(Run Length Encoding) code for real time compression and decompression of Hanguel bit map font and printer data is proposed. The nibble RLE code shows good compression ratio in complete form Hangeul Myoungjo and Godik style bit map font and printer output bit map data. And two ASICs seperating compression and decompression are designed and simulated on CAD to verify the proposed code. The 0.8 micron CMOS Sea of Gate is used to implement the ASICs in amount of 2, 400 gates, and these are running at 25MHz. Therefore, the proposed code could be implemented with simple hardware and performs 100M bit/sec compression and decomression at maximum, it is good for real time applications.

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