• Title/Summary/Keyword: 정보처리모형

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Performance Analysis on Coexistence of Contention-based Heterogeneous Wireless Networks (경쟁기반 이기종 무선 통신망의 공존 성능 분석)

  • Park, Eun-Chan;Rim, Min-Joong
    • Journal of Internet Computing and Services
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    • v.12 no.4
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    • pp.1-14
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    • 2011
  • This paper analyzes the fairness and efficiency of channel sharing when heterogeneous wireless networks that have different transmission power and/or coverage coexist with the contention-based channel access protocol. First, we show that the existing CSMA (carrier sensing multiple access) protocol, that is a prevailing contention-based mechanism, results in significant unfairness of channel access because of (1) the asymmetric capability of carrier sensing and (2) the blindness of binary exponential backoff and link adaptation mechanisms to the interference-driven transmission failures. Next, we derive the feasible region of carrier sensing thresholds that assures spatial reuse and fair channel sharing simultaneously. Moreover, we establish an analytical model for per-system throughput and investigate the effect of contention window size and transmission rate on the fairness and efficiency of channel sharing. Finally, we compare the performance of several approaches for fair channel sharing via simulations under various network configurations.

A Parallel I/O System on Workstation Clustering Environment for Irregular Applications (비정형 응용을 위한 워크스테이션 클러스터링 환경에서의 병렬 입출력 시스템)

  • No, Jae-Chun;Park, Sung-Soon;Choudhary, Alok
    • Journal of KIISE:Computer Systems and Theory
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    • v.27 no.5
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    • pp.496-505
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    • 2000
  • Clusters of workstations (COW) are becoming an attractive option for parallel scientific computing, a field formerly reserved to the MPPs, because their cost-performance ratio is usuallybetter than that of comparable MPPS, and their hardware and software can be easily enhanced to thelatest generations. In this paper we present the design and implementation of our runtime library forclusters of workstations, called "Collective I/O Clustering". The library provides a friendlyprogramming model for the I/O of irregular applications on clusters of workstations, being completelyintegrated with the underlying communication and I/O system. In the collective I/O clustering, two I/Oconfigurations are possible. In the first I/O configuration, all processors allocated can act as I/Oservers as well as compute nodes. In the second I/O configuration, only a subset of processors canact as I/O servers, The compression and software caching facilities have been incorporated into thecollective 1/0 clustering to optimize the communication and I/O costs. All the performance results wereobtained on the IBM-SP machine, located at Argonne National Labs.

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A Conceptual Model for an Administrative and Legal Process Provider of Urban Regeneration using Construction Interactive Electronic Technical Manual (전자매뉴얼을 활용한 도시재생사업의 법.행정절차 제공 시스템의 개념적 모형)

  • Park, Moon-Seo;Jeong, Jin-Wook;Lee, Hyun-Soo
    • Korean Journal of Construction Engineering and Management
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    • v.11 no.3
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    • pp.33-42
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    • 2010
  • Recently construction industry has faced new era as following the advances of IT technology. It becomes possible that information and knowledge among people are exchanged actively thanks to computer-based tools. In fact, the tools, PMIS(Project Management Information System) and KMS(Knowledge Management System) already have been introduced to constuction industry successfully. Lately IETM(Interactive Electronic Technical Manual) is tried to be one of these systems. This trying is being enlarged that the IETM's concept is changed to administrative and legal process provider throughout the lifespan of construction projects. However, it is hard to define construction IETM in mega-scale project like urban regeneration project because construction projects are complex and have diverse stakeholders. These properties may make the IETM ambiguous system. To do define IETM as a administrative and legal process provider, this research will conduct survey and interview, then analyze its own properties and find out design strategies. Based on the properties and strategies, suggesting IETM's system demands and architecture of urban regeneration processes.

A Study on the Fusion of DEM Generated from Images of Optical Satellite and SAR (광학 위성영상과 SAR 위성영상의 DEM 융합에 관한 연구)

  • Yeu, Bock-Mo;Hong, Jae-Min;Jin, Kyeong-Hyeok;Yoon, Chang-Rak
    • 한국지형공간정보학회:학술대회논문집
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    • 2002.11a
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    • pp.58-65
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    • 2002
  • The most widespread techniques for DEM generation are stereoscopy for optical sensor images and interfereometry for SAR images. These techniques suffer from certain sensor and processing limitations, which can be overcome by the synergetic use of both sensors and DEMs respectively. In this paper, different strategies for fusing SAR and optical data are combined to derive high quality DEM products. The multiresolution wavelet transform, which take advantage of the complementary properties of SAR and stereo optical DEMs, will be applied for the fusion process. By taking advantage of the fact that errors of the DEMs are of different nature using the multiresolution wavelet transform, affected part are filtered and replaced by those of the counterpart and is tested with two sets of SPOT and ERS DEM, resulting in a remarkable improvement in DEM. For the analysis of results, the reference DEM is generated from digital base map(1:5000).

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Study on abnormal behavior prediction models using flexible multi-level regression (유연성 다중 회귀 모델을 활용한 보행자 이상 행동 예측 모델 연구)

  • Jung, Yu Jin;Yoon, Yong Ik
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.1
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    • pp.1-8
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    • 2016
  • In the recently, violent crime and accidental crime has been generated continuously. Consequently, people anxiety has been heightened. The Closed Circuit Television (CCTV) has been used to ensure the security and evidence for the crimes. However, the video captured from CCTV has being used in the post-processing to apply to the evidence. In this paper, we propose a flexible multi-level models for estimating whether dangerous behavior and the environment and context for pedestrians. The situation analysis builds the knowledge for the pedestrians tracking. Finally, the decision step decides and notifies the threat situation when the behavior observed object is determined to abnormal behavior. Thereby, tracking the behavior of objects in a multi-region, it can be seen that the risk of the object behavior. It can be predicted by the behavior prediction of crime.

A Study on the Conceptual Modeling and Implementation of a Semantic Search System (시맨틱 검색 시스템의 개념적 모형화와 그 구현에 대한 연구)

  • Hana, Dong-Il;Kwonb, Hyeong-In;Chong, Hak-Jin
    • Journal of Intelligence and Information Systems
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    • v.14 no.1
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    • pp.67-84
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    • 2008
  • This paper proposes a design and realization for the semantic search system. The proposed model includes three Architecture Layers of a Semantic Search System ; (they are conceptually named as) the Knowledge Acquisition, the Knowledge Representation and the Knowledge Utilization. Each of these three Layers are designed to interactively work together, so as to maximize the users' information needs. The Knowledge Acquisition Layer includes index and storage of Semantic Metadata from various source of web contents(eg : text, image, multimedia and so on). The Knowledge Representation Layer includes the ontology schema and instance, through the process of semantic search by ontology based query expansion. Finally, the Knowledge Utilization Layer includes the users to search query intuitively, and get its results without the users'knowledge of semantic web language or ontology. So far as the design and the realization of the semantic search site is concerned, the proposedsemantic search system will offer useful implications to the researchers and practitioners so as to improve the research level to the commercial use.

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Image Analysis of Korean Automobiles Using Sensory Engineering (감성공학을 이용한 국산 승용차 이미지 분석)

  • Lee Jin-Choon;Hong Seong-Il
    • Journal of Korea Society of Industrial Information Systems
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    • v.11 no.2
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    • pp.69-78
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    • 2006
  • This paper is concerned with analyzing the images of Korean automobiles using, so called, sensory engineering, which adapts the sensory and subjective assessment of human beings in evaluating the quality of product. The methodology of analysis is suggested in this paper according to the following steps. First, 14 pairs of adjectives, which describe the image of object cars in view of the semantic differential method, are derived from consulting with several expert panels. Nextly, factor analysis is performed in order to obtain the axises, by which the images space of the object automobiles are specified, and then the images of the object automobiles are measured by the coordinate of all the object automobiles in the image space. In this paper, a sensory estimation experiment is performed to a panel consisting with In undergraduate students residing in the region of Daegu. From the result of analysis of this paper, target images, which the automobile manufacturers are intended, are achieved by and large except one company.

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HyGIS based on cloud computing (클라우드 기반 HyGIS)

  • Won, Young Jin;Choi, Yun Seok
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.316-316
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    • 2016
  • HyGIS는 DEM 기반의 수문지형처리를 중심으로 다양한 모형을 연계할 수 있도록 구성된 S/W 모음이다. 이는 한국건설기술연구원을 비롯한 다수의 기관 및 연구원들이 노력한 성과물이다. 본 연구는 기존 HyGIS 연구과정에서 도출된 성과물의 실용화 사업화를 위한 방안을 연구하였다. 이를 위하여 S/W 테스팅, 오픈소스 도입, 클라우드 컴퓨팅으로 나누어 접근하였다. 먼저 S/W의 테스팅에 있어서 기존 개발 소스코드는 블랙박스 테스트 방식의 동등 클래스 분할, 경계 값 분석 등 일부 모듈에 대한 단위 테스트와 제한적인 통합테스트가 수행된 바 있다. 보다 체계적인 테스트 단계로서 화이트박스 테스트 개념 중 문장/분기/조건 커버리지에 대하여 검토하였으며, 실제 소스코드 중 핵심 구간에 대한 적용 및 정량화를 통하여 현 수준을 객관적으로 진단하였고 보완 방안을 도출하였다. 오픈소스 적용을 위하여 QGIS, MapWindow 등 공간정보 분야의 최신 오픈소스 모듈을 비교 검토하였다. 적용 단계는 이를 기존 HyGIS S/W에 반영시키는 과정이며, S/W 관점에서는 컴포넌트 모듈의 대체라고 표현될 수 있다. 대규모의 전환 비용이 발생되므로 적용 후보에 대하여는 기능적 측면 뿐만 아니라 마이그레이션 비용과 중장기적인 유지보수 비용을 고려한 검토가 이루어 졌다. 한편 오픈소스 기술의 적용은 단순히 구성 요소 원가절감 측면만이 아닌, 중장기적 유지보수 체계 도모 및 지속가능한 생태계로의 전환에 더 큰 의의가 있다. 마지막으로 클라우드 컴퓨팅 기술의 적용 분야이다. HyGIS 입력 Data의 공급을 위한 인프라로서 자체 구축 인프라가 아닌 IaaS 클라우드인 Blob Storage 및 CDN을 시험 적용하였다. 클라우드를 활용함으로써 초기 비용을 최소화하고 합리적 비용으로 유연한 확장이 가능한(Scale Out, Scale Up) 구조를 취하게 되었다. 또한 입력 Data 공급 서버를 위한 Storage 측면만이 아니라 S/W의 배포에 있어서도 클라우드 컴퓨팅 기술을 활용하고자 시도하였다. 클라우드 기술을 활용하여 HyGIS S/W가 설치된 VM(Virtual Machine)자체를 임대하는 방식으로 시험 구성 되었다. VM에 대한 RDP 프로토콜 Access에 있어서 IP기반 접근 제어를 통하여 보안을 강화하는 방안을 실험하였으며, ISO 27001, ISO 27018 등 관련 보안 규정에 부합하는 서비스 제공이 가능하도록 검토하였다. 이러한 클라우드 VM방식 서비스를 통하여 Package형 S/W 뿐만 아니라 Subscription 방식의 서비스 제공 방식을 병행할 수 있다. 사용자에게는 S/W 설치 및 H/W Lock 구비 과정이 생략되는 이점이 있다.

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Development of the Extracting Technique of the Character Parameter for the Vibration Monitoring System in High Voltage Motor (고압전동기용 진동 감시 시스템을 위한 특징 파라미터 추출기법 개발)

  • Lee, Dal-Ho;Park, Jung-Cheul
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.12 no.4
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    • pp.349-358
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    • 2019
  • This paper aimed at collecting sensor signals to extract characteristic parameter of the rotor. A vibration test rig has been developed to perform model tests. Signal characteristics were analyzed when driving normally. Envelope FFT Analysis is used to extract vibration components caused by periodic impacts from other vibration factors. Signal analysis was performed when load changes were given to speed sensors and vibration test rigs that show low frequency characteristics of the rotor and signal analysis according to rotational speed. The acceleration signal measured in the bearing housing has a small amplitude and produces only the rotational frequency component and harmonic component of the motor. As the number of rotations increases, the amplitude of acceleration can be seen. As the rotational speed increases, it can be seen that there is a difference in the shape of the original data and compared with the acceleration FFT graph, it can be seen that the noise is strong at low frequencies and the corresponding rotational frequency components are clearly represented. It can be seen that changing the load does not increase the main rotational frequency component.

Lightweight Deep Learning Model for Real-Time 3D Object Detection in Point Clouds (실시간 3차원 객체 검출을 위한 포인트 클라우드 기반 딥러닝 모델 경량화)

  • Kim, Gyu-Min;Baek, Joong-Hwan;Kim, Hee Yeong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.9
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    • pp.1330-1339
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    • 2022
  • 3D object detection generally aims to detect relatively large data such as automobiles, buses, persons, furniture, etc, so it is vulnerable to small object detection. In addition, in an environment with limited resources such as embedded devices, it is difficult to apply the model because of the huge amount of computation. In this paper, the accuracy of small object detection was improved by focusing on local features using only one layer, and the inference speed was improved through the proposed knowledge distillation method from large pre-trained network to small network and adaptive quantization method according to the parameter size. The proposed model was evaluated using SUN RGB-D Val and self-made apple tree data set. Finally, it achieved the accuracy performance of 62.04% at mAP@0.25 and 47.1% at mAP@0.5, and the inference speed was 120.5 scenes per sec, showing a fast real-time processing speed.