• Title/Summary/Keyword: 컴퓨터화 평가 시스템

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Implementation and Performance Evaluation of Migration Agent for Seamless Virtual Environment System in Grid Computing Network (그리드 컴퓨팅 네트워크에서 Seamless 가상 환경 시스템 구축을 위한 마이그레이션 에이전트 구현 및 성능 평가)

  • Won, Dong Hyun;An, Dong-Un
    • KIPS Transactions on Computer and Communication Systems
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    • v.7 no.11
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    • pp.269-274
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    • 2018
  • MMORPG is a role-playing game that tens of thousands of people access it online at the same time. Users connect to the server through the game client and play with their own characters. If the user moves to a management area of another server beyond the area managed by the server, the user information must be transmitted to the server to be moved. In an actual game, the user is required to synchronize the established and the transferred information. In this paper, we propose a migration agent server in the virtual systems. We implement a seamless virtual server using the grid method to experiment with seamless server architecture for virtual systems. We propose a method to minimize the delay and equalize the load when the user moves to another server region in the virtual environment. Migration Agent acts as a cache server to reduce response time, the response time was reduced by 50% in the case of 70,000 people.

A Pre-processing Study to Solve the Problem of Rare Class Classification of Network Traffic Data (네트워크 트래픽 데이터의 희소 클래스 분류 문제 해결을 위한 전처리 연구)

  • Ryu, Kyung Joon;Shin, DongIl;Shin, DongKyoo;Park, JeongChan;Kim, JinGoog
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.12
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    • pp.411-418
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    • 2020
  • In the field of information security, IDS(Intrusion Detection System) is normally classified in two different categories: signature-based IDS and anomaly-based IDS. Many studies in anomaly-based IDS have been conducted that analyze network traffic data generated in cyberspace by machine learning algorithms. In this paper, we studied pre-processing methods to overcome performance degradation problems cashed by rare classes. We experimented classification performance of a Machine Learning algorithm by reconstructing data set based on rare classes and semi rare classes. After reconstructing data into three different sets, wrapper and filter feature selection methods are applied continuously. Each data set is regularized by a quantile scaler. Depp neural network model is used for learning and validation. The evaluation results are compared by true positive values and false negative values. We acquired improved classification performances on all of three data sets.

A mobile data caching synchronization strategy based on in-demand replacement priority (수요에 따른 교체 우선 순위 기반 모바일 데이터베이스 캐쉬 동기화 정책)

  • Zhao, Jinhua;Xia, Ying;Lee, Soon-Jo;Bae, Hae-Young
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.2
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    • pp.13-21
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    • 2012
  • Mobile data caching is usually used as an effective way to improve the speed of local transaction processing and reduce server load. In mobile database environment, due to its characters - low bandwidth, excessive latency and intermittent network, caching is especially crucial. A lot of mobile data caching strategies have been proposed to handle these problems over the last few years. However, with smart phone widely application these approaches cannot support vast data requirements efficiently. In this paper, to make full use of cache data, lower wireless transmission quantity and raise transaction success rate, we design a new mobile data caching synchronization strategy based on in-demand and replacement priority. We experimentally verify that our techniques significantly reduce quantity of wireless transmission and improve transaction success rate, especially when mobile client request a large amount of data.

A study on 3D Modeling Process & Rendering Image of CAD Program-With Case study on Cellular Phone Design- (캐드에 의한 3차원 모델링 제작과정과 렌더링 이미지 연출에 관한 연구-무선 이동 전화기 디자인 사례를 중심으로-)

  • 이대우
    • Archives of design research
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    • no.18
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    • pp.25-34
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    • 1996
  • Industrial design development methods and processes have changed in accordance with Industrial Information Age. These days, problems are created by existing methods and evaluation of design value , all problems concerned with time and finances sitaution have been made a subject of discussion. Development of design processes have been changed by the development of problem recognition and solving tools, and dpsign tpchnulugy havp hppn replaced by computer technology,Thus. software design processes linking thoughtware to hardware are used in the solution of design problems with many parts. In this study, 3D Modeling samples are presented, 3D Modeling can realise ' Ideas' to '3Dimentional Virtual Ohjects'. These effect and value are anle to decisively influence the process of design problem conference-ebealuation-solution.Proxesses of actual modeling and rendering are made as follows. By compusition of simple 20 drawings and shaping them into 30 objects, 30 solid models can be made. To prssent effectivley, we can make a sample model by varying camera views,light sourses,materials and colours etc. This sample is evaluated by various cumposition, methods and PERT(Program Evaluation and Review Technique). This cuncrete sample (tentative plan)is changed within the CAD SYSTEM by design evaluation, and then converted to flowchart of mass productive conception through refined data. So, that tentative plan can be conformed to design desire actuillly, to the utmost degree. Finally, this design process can be proposed as il new method in cuntrast with current methods. The aim of this study is to suggest effective evaluation methods of design outcome among many evaluating elements.

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Re-ranking the Results from Two Image Retrieval System in Cooperative Manner (두 영상검색 시스템의 협력적 이용을 통한 재순위화)

  • Hwang, Joong-Won;Kim, Hyunwoo;Kim, Junmo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.1
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    • pp.7-15
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    • 2014
  • Image retrieval has become a huge part of computer vision and data mining. Although commercial image retrieval systems such as Google show great performances, the improvement on the performances are constantly on demand because of the rapid growth of data on web space. To satisfy the demand, many re-ranking methods, which enhance the performances by reordering retrieved results with independent algorithms, has been proposed. Conventional re-ranking algorithms are based on the assumption that visual patterns are not used on initial image retrieval stage. However, image search engines in present have begun to use the visual and the assumption is required to be reconsidered. Also, though it is possible to suspect that integration of multiple retrieval systems can improve the overall performance, the research on the topic has not been done sufficiently. In this paper, we made the condition that other manner than cooperation cannot improve the ranking result. We evaluate the algorithm on toy model and show that propose module can improve the retrieval results.

A Study on Measurement Parameters of Virtualized Resources on Cloud Computing Networks (클라우드 컴퓨팅 네트워크에서 가상화 장비 평가 항목 연구)

  • Lee, Wonhyuk;Park, Byungyeon;Kim, Seunghae;Kim, TaeYeon;Kim, Hyuncheol
    • Convergence Security Journal
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    • v.14 no.7
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    • pp.85-90
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    • 2014
  • Cloud computing originated simply to request and execute the desired operation from the network of clouds. It means that an IT resource that provides a service using the Internet technology. It is getting the most attention in today's IT trends. In cloud computing networks, devices and data centers which are composed of the server, storage and application are connected over network. That is, data of computers in different physical locations are integrated using the virtualization technology to provide a service. Therefore cloud computing system is a key information resource, standardized methods and assessment system are required. In this paper, we aims to derive the parameters and information for research of technical standards stability evaluation method associated with various cloud computing equipment.

Noise Elimination Using Improved MFCC and Gaussian Noise Deviation Estimation

  • Sang-Yeob, Oh
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.1
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    • pp.87-92
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    • 2023
  • With the continuous development of the speech recognition system, the recognition rate for speech has developed rapidly, but it has a disadvantage in that it cannot accurately recognize the voice due to the noise generated by mixing various voices with the noise in the use environment. In order to increase the vocabulary recognition rate when processing speech with environmental noise, noise must be removed. Even in the existing HMM, CHMM, GMM, and DNN applied with AI models, unexpected noise occurs or quantization noise is basically added to the digital signal. When this happens, the source signal is altered or corrupted, which lowers the recognition rate. To solve this problem, each voice In order to efficiently extract the features of the speech signal for the frame, the MFCC was improved and processed. To remove the noise from the speech signal, the noise removal method using the Gaussian model applied noise deviation estimation was improved and applied. The performance evaluation of the proposed model was processed using a cross-correlation coefficient to evaluate the accuracy of speech. As a result of evaluating the recognition rate of the proposed method, it was confirmed that the difference in the average value of the correlation coefficient was improved by 0.53 dB.

Coding Style Score Visualization Using Facial Expression (얼굴 표정을 이용한 코딩 스타일 점수 시각화)

  • Ji, Jeong-Hoon;Lee, Yun-Jung;Woo, Gyun
    • Journal of KIISE:Software and Applications
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    • v.37 no.7
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    • pp.578-583
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    • 2010
  • This paper presents an automated visualization system, called StyleVisualizer, which checks the coding style of source codes and visualizes the coding style score using facial expression. Our system represents some kinds of facial expressions according to the evaluated score of the code style: A smile face means that the source code follows coding standards correctly. To measure the effectiveness of the StyleVisualizer, some experiments have been conducted on two class students in an applied computer course. In the experiments, we have compared the error ratio for obeying the coding standards when the StyleVisualizer was used or not. According to the experimental results, the error ratio with the StyleVisualizer was reduced above 30% than that without it. We expect that our system can encourage the students to obey the coding standards by providing the feedback of the visualized faces corresponding to their programs, resulting in high readable programs.

Microzonation on Site-specific Seismic Response at a Model Area in Seoul Using GIS (GIS를 이용한 서울 시범 지역에서의 부지고유 지진 응답의 정밀구역화)

  • Sun, Chang-Guk;Chun, Sung-Ho;Jang, Eui-Ryong;Chung, Choong-Ki
    • Journal of the Korean Society of Hazard Mitigation
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    • v.7 no.5
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    • pp.139-150
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    • 2007
  • As computer technology has been rapidly advanced, geographic information system (GIS) is recently used in many disciplines. In this study, for a model area in Seoul, seismic hazard potential relating to site effects, which are influenced by the subsurface geotechnical conditions, was estimated using the GIS tool. The distribution of pre-existing borehole drilling data in Seoul metropolitan area was examined for the regional estimation of site-specific seismic responses at the model area. Spatial geo-layers across the entire model area were predicted by constructing a GIS-based geotechnical information system (GTIS). A microzonation of site period $(T_G)$ for estimating site-specific seismic responses at the model area was performed within the GTIS. The spatial microzoning map of $T_G$ indicated seismic vulnerability of two- to four-storied buildings in the model area. Furthermore, a site classification map for determining the design ground motion was established based on the $T_G$ within the GTIS. This informed that most of location in the model area was categorized into current site classes C and D. This seismic microzonation framework for the model area could be applicable particularly in the entire Seoul metropolitan area based on the pre-existing borehole data.

Energy Management System Design Based on Fast Simulation Using Machine Learning Model (기계학습 모델을 이용한 고속 시뮬레이션 기반의 건물 에너지 관리 시스템 설계)

  • Lee, Eun-joo;Kim, Jeong-min;Ryu, Kwang-ryel
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.07a
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    • pp.13-15
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    • 2016
  • 에너지 소비가 큰 건물은 내부 온/습도, 이산화탄소 농도, 미세먼지 농도 등의 일정 공기 질을 유지하면서 에너지 비용을 최소화할 수 있는 제어계획을 수립하는 것이 필요하다. 기존 건물에서 실내 환경의 운영은 설정된 실내 환경 값을 기준을 벗어나면 설비 기기를 제어하는 방식으로 이루어진다. 이는 단 시간에 고에너지를 투입하여 장비를 가동시키므로 에너지 소모가 크며 peak 전력이 높아 에너지 비용이 크다는 문제가 있다. 따라서 온도를 포함한 환경이 변해가는 상황을 예측하고 사전에 에너지 사용 계획을 수립하여 관리 제어를 수행함으로써 예열부하 등의 불필요한 에너지 손실을 절감하려 한다. 이를 위해 실내 환경이 변화하는 것을 예측하고 후보 제어계획으로 제어를 수행할 때 소요되는 에너지가 어느 정도인지 시뮬레이션하여 제어계획의 적합도를 평가한다. 기존 EnergyPlus와 같은 시뮬레이션 도구는 모델이 복잡하여 시뮬레이션에 많은 시간이 필요하기 때문에 환경 변화를 반영하기 위해 주기적으로 재수립되는 수많은 제어계획 데이터를 단시간에 시뮬레이션하기에 부적합하다. 본 논문에서는 빠른 시뮬레이션을 위해 실제 운영 데이터와 에뮬레이션을 통해 획득한 운영 데이터를 기반으로 학습 알고리즘을 이용하여 제어계획 적용 시의 미래 상황을 예측한다.

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