• Title/Summary/Keyword: MDS 지도

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Meiobenthic Community Structures on the Sediment of Seagrass Bed and Mangrove Forest in Chunk Lagoon, Micronesia (마이크로네시아 연방 축 라군의 해초지와 맹그로브 군락 퇴적물에 서식하는 중형저서동물 군집 특성)

  • Min, Won-Gi;Kim, Dong-Sung;Kwon, Moon-Sang
    • Ocean and Polar Research
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    • v.28 no.1
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    • pp.13-23
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    • 2006
  • This study was conducted to investigate the community structure and distributional pattern of meiobenthos on the sediment of the mangrove forest and seagrass bed in the Chuuk lagoon. The samples were collected by an acryl corer at 14 stations. Nematodes were the most abundant meiobenthos, followed by ciliophorans and polychaetes; these taxa comprised more than 70% of the total abundance at all stations. The meiofuuna sampled in seagrass bed were more diverse than those of mangrove substrates. Total densities were higher in mangrove stations than other sites, averaging 1,671 to $2,967inds/10cm^2$. Densities in seagrass area ranged between 605 and $1,053inds/10cm^2$. Biomasses, however, were higher in seagrass bed $(975-2,167{\mu}g\;free\;dry\;weight/10cm^2)$ than in mangrove area $(1,064-1,180{\mu}g\;free\;dry\;weight/10cm^2)$. Ordination chart by MDS of major meiofaunal density in each station showed difference between mangrove area and seagrass area in terms of habitat of meiobenthos.

Development of A Metadata Generating & Editing System for MPEG-7 (MPEG-7메타데이터 편집 시스템의 개발)

  • Kim Kyung-Jin;Chung Jun-Young;Lee Sang-Bum
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.6 no.3
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    • pp.241-248
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    • 2005
  • MPEG-7 provides a lot of advantages for retrieving and editing of multimedia data by providing the information of structure and semantics in multimedia data such as digital images and audio. In this paper, a metadata generator and editor system for MPEG-7 is introduced. It suggests the overall technique and framework of generating and editing multimedia data when such content is created. This system also includes not only the functions of generating, editing and saving meta-data of MPEG-7 but also the functions of meta-data editing of moving pictures based on MPEG 1, 2 and browsing of the overall editing process.

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Prediction-Based Reliable Data Forwarding Method in VANET (차량 네트워크에서 예측 기반의 안정적 데이터 포워딩 기법)

  • Kim, Minho;Joo, Changhee
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.1
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    • pp.128-139
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    • 2017
  • Vehicular Ad hoc Network (VANET) is one of technologies to realize various ITS services for safe driving and efficient traffic control. However, data delivery in VANETs is complicated due to high mobility and unreliable wireless transmission. In this paper, we develop a novel forwarding scheme to deliver packets in a reliable and timely manner. The proposed forwarding scheme uses traffic statistics to predict the encounter of two vehicles, and optimize its forwarding decision by taking into consideration the probability of successful transmission between them at the encounter place. We evaluate our scheme through simulations and show that our proposed scheme provides reliable data delivery in VANETs.

Clustering Technique for Sequence Data Sets in Multidimensional Data Space (다차원 데이타 공간에서 시뭔스 데이타 세트를 위한 클러스터링 기법)

  • Lee, Seok-Lyong;LiIm, Tong-Hyeok;Chung, Chin-Wan
    • Journal of KIISE:Databases
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    • v.28 no.4
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    • pp.655-664
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    • 2001
  • The continuous data such as video streams and voice analog signals can be modeled as multidimensional data sequences(MDS's) in the feature space, In this paper, we investigate the clustering technique for multidimensional data sequence, Each sequence is represented by a small number by hyper rectangular clusters for subsequent storage and similarity search processing. We present a linear clustering algorithm that guarantees a predefined level of clustering quality and show its effectiveness via experiments on various video data sets.

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Exploring Environmental Factors Affecting Strawberry Yield Using Pattern Recognition Techniques

  • Cho, Wanhyun;Park, Yuha;Na, Myung Hwan;Choi, Don-Woo
    • Journal of Internet Computing and Services
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    • v.20 no.1
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    • pp.39-46
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    • 2019
  • This paper investigates the importance of various environmental factors that have a strong influence on strawberry yields grown in greenhouse using the pattern recognition methods. The environmental factors influencing the production of strawberries were six factors such as average inside temperature, average inside humidity, average $CO_2$ level, average soil temperature, cumulative solar radiation, and average illumination. The results of analyzing the observed data using Dynamic Time Warping (DTW) showed that the most significant factor influencing the strawberry production was average soil temperature, average inside humidity, and cumulative solar radiation. Second, the results of analyzing the observed data using Multidimensional Scaling (MDS) showed that the most influential factors on the strawberry yields, such as average $CO_2$ level, average inside humidity, and average illumination were differently given for each farms. However, these results are based on the distance in 3D space and can be deduced from the fact that there is not a large difference between these distances. Therefore, in order to increase the harvest of strawberries cultivated in the farms, it is necessary to manage the environmental factors such as thoroughly controlling the humidity and maintaining the concentration of $CO_2$ constantly by ventilation of the greenhouse.

A Comparative Study of Oversea Honeymoon Destination Image (해외여행지의 관광이미지 포지셔닝 비교연구: 신혼여행지를 중심으로)

  • Park, No-Hyun;Yoon, Yoo-Shik;Yang, Jong-Im
    • The Journal of the Korea Contents Association
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    • v.11 no.6
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    • pp.472-485
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    • 2011
  • The purpose of this study is to look through consumer perception and image positioning, present the thoughts over the competitive strength and make better the efficiency of long-term communication strategy. It is analyzed that consumers realized differentiated value choice on seasonal destination for honeymoon. MDS is applied to provide the marketers with the framework to develop marketing strategy for destination positioned in the mind of consumer and make products efficient to create and keep the desirable position. The data was collected from the honeymooner who have planned to travel or have experienced traveled 7 different types of honeymoon destinations(Guam/Saipan, Australia/New Zealand, China, Japan, Hawaii, Thailand and Europe). It is hoped that these results will be useful for tourism and organizer to develop marketing strategy for products.

Sensibility Evaluation for Car Navigation System based on Vehicle-type Preference (선호 차종별 자동차 네비게이션 시스템의 감성평가)

  • Park Sung Joon;Kim Sung Hoon
    • Journal of Korea Society of Industrial Information Systems
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    • v.9 no.3
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    • pp.71-79
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    • 2004
  • Owing to the rapid increase of the number of automobiles, the traffic is being heavily crippled as time goes by. To provide drivers with better safety and convenience, a variety of CNSs(Car Navigation System) are being installed more and more specially for the vehicles which are produced in recent days. As the CNS has gained the public popularity, it has been playing a role as a component of the multimedia system in a vehicle in addition to providing the capability of route guidance service. It is, therefore, now recognized as an important unit of the vehicle interior system. As the situation has been changed as formerly described, it is necessary that not only the functions but also the usability and exterior features are to be designed to suit customers' tastes. This paper is an attempt to find out what the major sensibility factors which customers want as far as a CNS is concerned are. Because these factors can differ from a vehicle type to another that customers prefer, the analysis is based on the vehicle preference. It is proved that MDS(Multi Dimensional Scaling) is an effective method to analyze the sensibility factors for the different types of vehicles. The result shows that for the people who prefer the sedan-type vehicles, luxuriousness, harmoniousness, and texture are major factors. For people who like sports car, faminism, salience, and dynamics are major factors. For people who prefer SUV's(Sports Utility Vehicle) or MPV's(Multi Purpose Vehicle), solidity, dynamics, and convenience are important.

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Effects of Sowing Method on Growth of Directed Seeding Cultivation Ginseng in Paddy Fields (인삼 논 직파 재배시 파종방법이 출아 및 생육에 미치는 영향)

  • Seong, Bong-Jae;Jee, Moo-Geun;Lee, Ka-Soon;Kim, Sun-Ick;Kim, Hyun-Ho;Cho, Jin-Woong
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.65 no.2
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    • pp.151-155
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    • 2020
  • This study was conducted to determine the effects of the selection of an appropriate sowing method in on ginseng growth, and the results are as follows. SAS (semi-automatic sower), commonly used by direct seeding farms, provides fast operation speed but results in high labor cost, while (Hooper Seeder Sowing) offers fast operation speed and high germination rate, but leads to increased laborer's fatigue. Daily working area per sower was 6,611 ㎡ for a motor type, and the operation time to sow 3,305 ㎡ was 15 hours for broadcast planting, and 8 hours for SAS. The germination rate of 1-year-old ginseng according to direct seeding was 69.1% for the treatment plot under broadcast planting, followed by 66.4% and 67.3% for manual sower and hoop sower, respectively, and the germination rate of SAS was the lowest at 64.2%. In addition, there were no differences in shoot and root growth of 1-year-old ginseng among the sowing methods. Therefore, the sowing method can be chosen depending on the economic size of ginseng farmers. That broadcast sowing (BS) is appropriate for small scale farmers, while motor-driven seeder sowing (MDS) for direct seeding is more suitable for large scale farmers.

A Non-Shared Metadata Management Scheme for Large Distributed File Systems (대용량 분산파일시스템을 위한 비공유 메타데이타 관리 기법)

  • Yun, Jong-Byeon;Park, Yang-Bun;Lee, Seok-Jae;Jang, Su-Min;Yoo, Jae-Soo;Kim, Hong-Yeon;Kim, Young-Kyun
    • Journal of KIISE:Computer Systems and Theory
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    • v.36 no.4
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    • pp.259-273
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    • 2009
  • Most of large-scale distributed file systems decouple a metadata operation from read and write operations for a file. In the distributed file systems, a certain server named a metadata server (MDS) maintains metadata information in file system such as access information for a file, the position of a file in the repository, the namespace of the file system, and so on. But, the existing systems used restrictive metadata management schemes, because most of the distributed file systems designed to focus on the distributed management and the input/output performance of data rather than the metadata. Therefore, in the existing systems, the metadata throughput and expandability of the metadata server are limited. In this paper, we propose a new non-shared metadata management scheme in order to provide the high metadata throughput and scalability for a cluster of MDSs. First, we derive a dictionary partitioning scheme as a new metadata distribution technique. Then, we present a load balancing technique based on the distribution technique. It is shown through various experiments that our scheme outperforms existing metadata management schemes in terms of scalability and load balancing.

Fault Detection Method for Steam Boiler Tube Using Mahalanobis Distance (마할라노비스 거리를 이용한 증기보일러 튜브의 고장탐지방법)

  • Yu, Jungwon;Jang, Jaeyel;Yoo, Jaeyeong;Kim, Sungshin
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.3
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    • pp.246-252
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    • 2016
  • Since thermal power plant (TPP) equipment is operated under very high pressure and temperature, failures of the equipment give rise to severe losses of life and property. To prevent the losses, fault detection method is, therefore, absolutely necessary to identify abnormal operating conditions of the equipment in advance. In this paper, we present Mahalanobis distance (MD) based fault detection method for steam boiler tube in TPP. In the MD-based method, it is supposed that abnormal data samples are far away from normal samples. Using multivariate samples collected from normal target system, mean vector and covariance matrix are calculated and threshold value of MD is decided. In a test phase, after calculating the MDs between the mean vector and test samples, alarm signals occur if the MDs exceed the predefined threshold. To demonstrate the performance, a failure case due to boiler tube leakage in 200MW TPP is employed. The experimental results show that the presented method can perform early detection of boiler tube leakage successfully.