• 제목/요약/키워드: Large Scale data

검색결과 2,767건 처리시간 0.034초

효율적인 MMORPG 데이터 관리를 위한 스프레드시트 기반 툴 모델 (The Spreadsheet-Based Tool Model for Efficient MMORPG Data Management)

  • 강신진;김창헌
    • 한국멀티미디어학회논문지
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    • 제12권10호
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    • pp.1457-1465
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    • 2009
  • Massively Multiplayer Online Role-Playing Game (MMORPG) 제작에서 최종 데이터 입력 수단으로 쓰이는 스프레드시트 기반 개발 환경은 대용량의 데이터의 수식 처리, 분석에 있어 장점이 있으나 데이터 삽입 삭제, 검색, 연계성 관리에 어려움이 있다. 본 논문에서 대용량 데이터 관리를 위한 스프레드시트 환경 기반 툴 모델을 제안함으로써 실무에서 발생할 수 있는 다양한 데이터 관리 문제들을 입력 단계에서 해결하고자 한다. 본 논문에서 제안된 툴 모델은 MMORPG 데이터 입력을 위해 다수의 데이터 입력자들이 있는 환경에서 데이터 관리 위험을 최소화시키며 동시에 데이터 입력과 관리 작업 효율을 높이는데 효용성을 가지고 있다.

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시스템 요구사항 분석을 위한 순환적-점진적 복합 분석방법 (An Integrated Method of Iterative and Incremental Requirement Analysis for Large-Scale Systems)

  • 박지성;이재호
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제6권4호
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    • pp.193-202
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    • 2017
  • 인공지능 기반 지능형 시스템의 개발에는 일반적으로 신뢰성 높은 대규모 지식처리, 지식의 통합과 인간 수준의 이해, 지식기반 인간-기계협업, 전문가 수준의 지능 서비스 등의 효과적 통합이 요구된다. 특히 빅데이터 이해 기반 자가학습형 지식베이스 및 추론 기술 개발을 목표로 하고 있는 과제의 일환으로 개발 중인 WiseKB 통합 플랫폼은 대용량 지식을 저장하여 추론과정을 통한 질의 및 응답이 가능한 대규모 지식 베이스 역할을 수행하며 이를 위하여 지식표현, 자원통합, 지식저장소, 지식베이스, 복합추론, 지식학습 등의 요소기술들의 효과적 통합이 필수적이다. 통합 플랫폼의 효율적 통합을 위해서는 정확한 요구사항 분석이 중요하며, 이는 시스템의 특성을 고려한 적절한 요구사항 분석 방법론의 적용이 필요하다. 대표적인 요구사항 분석 방법인 순차적 방법론과 순환-점진적 방법론은 WiseKB와 같은 시스템의 대규모 복합적 개발 특성을 고려할 때 다양한 요구사항을 체계적으로 파악하기에 한계가 있다. 본 논문에서는 이러한 한계를 개선하고자 순차적 방법과 순환-점진적 방법론을 결합해 각 단점을 보완하고 대규모 복합적 특성을 갖는 시스템의 요구사항 분석을 효율적으로 진행할 수 있는 통합 방법론을 제시하고, 실제 적용을 통해 그 효과를 보인다.

The BIOWAY System: A Data Warehouse for Generalized Representation & Visualization of Bio-Pathways

  • Kim, Min Kyung;Seo, Young Joo;Lee, Sang Ho;Song, Eun Ha;Lee, Ho Il;Ahn, Chang Shin;Choi, Eun Chung;Park, Hyun Seok
    • Genomics & Informatics
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    • 제2권4호
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    • pp.191-194
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    • 2004
  • Exponentially increasing biopathway data in recent years provide us with means to elucidate the large-scale modular organization of the cell. Given the existing information on metabolic and regulatory networks, inferring biopathway information through scientific reasoning or data mining of large scale array data or proteomics data get great attention. Naturally, there is a need for a user-friendly system allowing the user to combine large and diverse pathway data sets from different resources. We built a data warehouse - BIOWAY - for analyzing and visualizing biological pathways, by integrating and customizing resources. We have collected many different types of data in regards to pathway information, including metabolic pathway data from KEGG/LIGAND, signaling pathway data from BIND, and protein information data from SWISS-PROT. In addition to providing general data retrieval mechanism, a successful user interface should provide convenient visualization mechanism since biological pathway data is difficult to conceptualize without graphical representations. Still, the visual interface in the previous systems, at best, uses static images only for the specific categorized pathways. Thus, it is difficult to cope with more complex pathways. In the BIOWAY system, all the pathway data can be displayed in computer generated graphical networks, rather than manually drawn image data. Furthermore, it is designed in such a way that all the pathway maps can be expanded or shrinked, by introducing the concept of super node. A subtle graphic layout algorithm has been applied to best display the pathway data.

Cosmological Tests using Redshift Space Clustering in BOSS DR11

  • Song, Yong-Seon;Sabiu, Cristiano G.;Okumura, Teppei;Oh, Minji;Linder, Eric V.
    • 천문학회보
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    • 제40권1호
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    • pp.43.3-44
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    • 2015
  • We analyze the clustering of large scale structure in the Universe in a model independent method, accounting for anisotropic effects along and transverse to the line of sight. A large sample of 690,000 galaxies from The Baryon Oscillation Spectroscopy Survey Data Release 11 are used to determine the Hubble expansion H, angular distance D_A, and growth rate GT at an effective redshift of z=0.57. After careful bias and convergence studies of the effects from small scale clustering, we find that cutting transverse separations below 40 Mpc/h delivers robust results while smaller scale data leads to a bias due to unmodelled nonlinear and velocity effects. The converged results are in agreement with concordance LCDM cosmology, general relativity, and minimal neutrino mass, all within the $68{\backslash}%$ confidence level. We also present results separately for the northern and southern hemisphere sky, finding a slight tension in the growth rate -- potentially a signature of anisotropic stress, or just covariance with small scale velocities -- but within $68{\backslash}%$ CL.

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A Study of Environmental Effects on Galaxy Spin Using MaNGA Data

  • Lee, Jong Chul;Hwang, Ho Seong;Chung, Haeun
    • 천문학회보
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    • 제42권2호
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    • pp.47.2-47.2
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    • 2017
  • We investigate the environmental effects on galaxy spin using the sample of ~1100 galaxies from the first public data of MaNGA integral field unit survey. We determine the spin parameter ${\lambda}_{Re}$ of galaxies by analyzing the two-dimensional stellar kinematic measurements within the effective radius, and study its dependence on the large-scale (background mass density determined with 20 nearby galaxies) and small-scale (distance to and morphology of the nearest neighbor galaxy) environments. We first examine the mass dependence of galaxy spin, and find that the spin parameter decreases with stellar mass at log ($M_{\ast}/M_{\odot}$) > 10, consistent with previous studies. We then divide the galaxies into three subsamples using their stellar masses to minimize the mass effects on galaxy spin. The spin parameter of galaxies in each subsample does not change with the background density, but do change with the distance to and morphology of the nearest neighbor. The spin parameter increases when late-type neighbors are within the virial radius, and decreases when early-type neighbors are within the virial radius. These results suggest that the large-scale environments hardly affect the galaxy spin, but the effects of small-scale environments such as hydrodynamic galaxy-galaxy interactions are substantial.

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국내 하수처리시설 에너지 등급 평가를 위한 ENERWATER의 적용 가능성에 관한 연구 (A Study on the Applicability of ENERWATER for Evaluation of the Energy Consumption Label of WWTPs in Korea)

  • 박민오;이호식
    • 한국물환경학회지
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    • 제38권5호
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    • pp.231-239
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    • 2022
  • In this study, we applied ENERWATER to evaluate the energy consumption labeling of wastewater treatment plants in Korea using the Korea sewerage statistics data. The results showed that the energy label status was excellent in the SBR process for small and medium-scale wastewater treatment plants and the A2O process for large-scale wastewater treatment plants. The energy labeling of wastewater treatment plants of 50,000 tons capacity was excellent. The statuses of metropolitan cities and Jeollanam-do province were excellent. We analyzed the effects of renewable energy on wastewater treatment plants' energy consumption and found out that digestion gas for large-scale plants and photovoltaic energy for small-scale plants were effective in improving energy labeling. In addition, we compared the energy labels of four wastewater treatment plants in "Z" city and wastewater treatment plant "X" had the best energy label, and the wastewater treatment plants "V" and "Y" had to be selected as priorities for the energy diagnosis and improvement project. In a comprehensive conclusion, the applicability of ENERWATER was confirmed based on sewage statistics data and labeling can be used to set priorities for the energy diagnosis and improvement project.

Reynolds수 ${10}^{4}$일때 천이영역에서의 왼형제트의 Large-Scale 구조에 관한 연구 (Large-scale structure of circular jet in transitional region at reynolds number of ${10}^{4}$)

  • 이택식;최은수
    • 대한기계학회논문집
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    • 제10권6호
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    • pp.823-829
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    • 1986
  • 본 연구에서는 와동의 대류속도를 H.H. Brunn의 방법과 달리 측정하였으며, 또 이를 이용하여 와동의 중심들 사이의 간격을 구하고자 한다. 이를 위하여 먼저 포텐셜코어영역(potential core region)과 혼합층영역(mixing layer region)의 경계 및 천이영역(transition region)과 난류영역(turbulent region)경계를 구하여야 한다. 각 영역들의 대체적인 구분은 Fig.1과 같다.

Large-Scale Environmental Effects on the Mass Assembly of Dark Matter Halos

  • 정인태;이재현;이석영
    • 천문학회보
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    • 제38권1호
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    • pp.32.2-32.2
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    • 2013
  • We examine large-scale environmental effects on the formation and the mass growth of dark matter halos. To facilitate this, we constructed dark matter halo merger trees from a cosmological N-body simulation, which enabled us to trace the merger information and the assembly history of individual halos. In fact, since the massive halos are more likely to be distributed in denser regions than in less dense regions (Mo & White, 1996), the large-scale environment dependence of the properties of halos can be partly originated from the halo mass effect. In order to avoid such contamination, caused by the mass dependence of halo properties, we carefully measured the local overdensity as the indicator of large-scale environment, which was calculated to be as independent of halo mass as possible. Small halos (${\sim}10^{11-12}M_{\odot}$), which usually host isolated single galaxies, show a notable difference on the formation time of galaxies depending on their large-scale environments, which reconfirms halo assembly bias (Gao & White, 2007). Furthermore, we investigate how this environmental effect on small halos is correlated with the mass assembly history of galaxies by using our semi-analytic model. We found that assembly bias in small halos does not have significant effects on the formation time or on the star formation history of galaxies residing in those halos except for the individual stellar mass of galaxies at z = 0. On average, isolated galaxies in high-density regions tend to be slightly more massive than those in low-density regions. Although the observational data from the current galaxy surveys is not yet sufficient for testing this prediction, future galaxy surveys will be able to explore these small galaxies more thoroughly.

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Price Forecasting on a Large Scale Data Set using Time Series and Neural Network Models

  • Preetha, KG;Remesh Babu, KR;Sangeetha, U;Thomas, Rinta Susan;Saigopika, Saigopika;Walter, Shalon;Thomas, Swapna
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권12호
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    • pp.3923-3942
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    • 2022
  • Environment, price, regulation, and other factors influence the price of agricultural products, which is a social signal of product supply and demand. The price of many agricultural products fluctuates greatly due to the asymmetry between production and marketing details. Horticultural goods are particularly price sensitive because they cannot be stored for long periods of time. It is very important and helpful to forecast the price of horticultural products which is crucial in designing a cropping plan. The proposed method guides the farmers in agricultural product production and harvesting plans. Farmers can benefit from long-term forecasting since it helps them plan their planting and harvesting schedules. Customers can also profit from daily average price estimates for the short term. This paper study the time series models such as ARIMA, SARIMA, and neural network models such as BPN, LSTM and are used for wheat cost prediction in India. A large scale available data set is collected and tested. The results shows that since ARIMA and SARIMA models are well suited for small-scale, continuous, and periodic data, the BPN and LSTM provide more accurate and faster results for predicting well weekly and monthly trends of price fluctuation.

수치지도 일반화에 있어서 단순화에 관한 연구 (The Study on Simplification in Digital Map Generalization)

  • 최병길
    • 한국측량학회지
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    • 제19권2호
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    • pp.199-208
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    • 2001
  • 우리나라의 수치지도제작은 축척에 따라 독립적으로 제작되어 활용되어 왔다. 따라서 다른 축척의 공간자료를 원할 경우 다시 제작해야 하기 때문에 막대한 시간과 경제적인 손실을 가져온다. 이러한 문제점을 해결하기 위한 방안으로 대축척 수치지도를 원시데이터로 하여 다양한 소축척 수치지도를 제작하기 위한 지도 일반화의 연구가 많이 진행되고 있다. 본 연구는 여러가지 일반화 처리 기법중 단순화에 의한 선형요소와 건물 레이어의 소축척 변환 특성을 연구하는데 그 목적이 있다. 이를 위하여 단순화 처리를 위한 알고리즘을 제시하였으며, 1:5,000수치지도로부터 1:25,000 수치지도로의 변환에 이를 적용, 수치지도의 단순화 특성을 분석하였다. 연구결과 면적분배 알고리즘이 Douglas-Peucker 알고리즘이나, Reumann-Witkam 알고리즘보다 건물의 최초면적과 형상을 잘 유지함을 알 수 있었다.

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