• Title/Summary/Keyword: 컴퓨터화 평가 시스템

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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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ICPIS Construction using KP Agent (KP AGENT를 이용한 기술정보공간의 구축)

  • 박경우;배상현
    • Journal of the Korea Society of Computer and Information
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    • v.5 no.2
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    • pp.14-21
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    • 2000
  • In the position of the users, it suggests the technology information space as a now paradigm, which supplement the function of science information DB. ICPIS which inputs described papers with keywords, offers the itemized summary of these contents, the visual indication and comparison of similar thesis. and it also supplises the abundant summary information, survey information, more than ten volumes of info communication thesis with starting the casual relation extraction for the users, playing a significant role in ICPIS is called KP, and it is package of domain knowledge that unifies the extraction and structure narration of the technology information. ICPIS extracts the technology information among the thesis that are deserved by the natual language treatment in the itemized KP described , and form the prescribed summary structure in KP.

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Kubernetes-based Framework for Improving Traffic Light Recognition Performance: Convergence Vision AI System based on YOLOv5 and C-RNN with Visual Attention (신호등 인식 성능 향상을 위한 쿠버네티스 기반의 프레임워크: YOLOv5와 Visual Attention을 적용한 C-RNN의 융합 Vision AI 시스템)

  • Cho, Hyoung-Seo;Lee, Min-Jung;Han, Yeon-Jee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2022.11a
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    • pp.851-853
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    • 2022
  • 고령화로 인해 65세 이상 운전자가 급증하며 고령운전자의 교통사고 비율이 증가함에 따라 시급한 사회 문제로 떠오르고 있다. 이에 본 연구에서는 객체 검출, 인식 모델을 결합하고 신호등을 인식하여 Text-To-Speech(TTS)로 알리는 쿠버네티스 기반의 프레임워크를 제안한다. 객체 검출 단계에서는 YOLOv5 모델들의 성능을 비교하여 활용하였으며 객체 인식 단계에서는 C-RNN 기반의 attention-OCR 모델을 활용하였다. 이는 신호등의 내부 LED 영역이 아닌 이미지 전체를 인식하는 방식으로 오탐지 요소를 낮춰 인식률을 높였다. 결과적으로 1,628장의 테스트 데이터에서 accuracy 0.997, F1-score 0.991의 성능 평가를 얻어 제안한 프레임워크의 타당성을 입증하였다. 본 연구는 후속 연구에서 특정 도메인에 딥러닝 모델을 한정하지 않고 다양한 분야의 모델을 접목할 수 있도록 하며 고령 운전자 및 신호 위반으로 인한 교통사고 문제를 예방할 수 있다.