• Title/Summary/Keyword: statistical graphs

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Enriching Natural Monument with User-Generated Mobile Augmented Reality Mashup

  • Shin, Choonsung;Hong, Sung-Hee;Yoon, Hyoseok
    • Journal of Multimedia Information System
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    • v.7 no.1
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    • pp.25-32
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    • 2020
  • This paper proposes a mobile augmented reality mashup for cultural heritage sites such as natural monuments. Several benefits of mobile augmented reality solutions are ideal for preserving and protecting cultural heritage sites. By presenting mobile augmented reality mashup scenarios and mobile mashup framework, we introduce how user-generated multimedia contents can be added. We present two scenarios of Mashup Viewer and Mashup Maker. In Mashup Viewer mode, visitors can create new AR contents using mashup tools for memo, Twitter, images and statistical graphs. In Mashup Maker mode, other visitors also can view the user-generated multimedia AR contents using QR codes as access points. To show feasibility of our approach in mobile platforms, we compare several detection algorithms on PC and mobile platform and report on deployment of our approach in a natural monument museum. With our proposed mashup tools, visitors to the cultural heritage sites can enjoy default AR contents provided by the site administrators and also participate as active content producers and consumers.

Household Financial management Software Development(ll) (가계 재무관리 Software 개발을 위한 연구 (ll))

  • 박명희
    • Journal of the Korean Home Economics Association
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    • v.36 no.2
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    • pp.131-144
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    • 1998
  • The purpose of this study is to develop a household financial management program that helps consumers estimate their present financial status and also enable them to reach their future financial goals. The computer record-keeping bood developed in this study has unique pictures such as 'statistic mode' in the part of planning & budgeting. We use the Family Income and Expenditure Survey produced by the National Statistical Office, Republic of Korea, to derive the predicted average spending patterns of households. Software is developed in Win 95 environmental design, graphical mode at 800x600 and it has 6 different functional parts with producing the spending graphs. We investigate the satisfaction about the software developed to survey 34 households used the program for two months. The results of users responses were quite positive toward the program developed in this study.

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Multi-Sensor Signal based Situation Recognition with Bayesian Networks

  • Kim, Jin-Pyung;Jang, Gyu-Jin;Jung, Jae-Young;Kim, Moon-Hyun
    • Journal of Electrical Engineering and Technology
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    • v.9 no.3
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    • pp.1051-1059
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    • 2014
  • In this paper, we propose an intelligent situation recognition model by collecting and analyzing multiple sensor signals. Multiple sensor signals are collected for fixed time window. A training set of collected sensor data for each situation is provided to K2-learning algorithm to generate Bayesian networks representing causal relationship between sensors for the situation. Statistical characteristics of sensor values and topological characteristics of generated graphs are learned for each situation. A neural network is designed to classify the current situation based on the extracted features from collected multiple sensor values. The proposed method is implemented and tested with UCI machine learning repository data.

A graphical method for discriminant analysis when covariance matrices are unequal (공분산행렬이 서로 다를 경우 그래프에 의한 판별분석)

  • 김성주;정갑도
    • The Korean Journal of Applied Statistics
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    • v.6 no.2
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    • pp.409-419
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    • 1993
  • This paper concerns graphical methods for discriminant analysis. We discuss Sammon's graph, MV graph and possibility of an alternative. The properties of the three graphs are investigated using real data and simulation studies. Dimensionality reduction for an alternative and robust procedure are discussed.

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An Anomalous Host Detection Technique using Traffic Dispersion Graphs (트래픽 분산 그래프를 이용한 이상 호스트 탐지 기법)

  • Kim, Jung-Hyun;Won, You-Jip;Ahn, Soo-Han
    • Journal of KIISE:Information Networking
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    • v.36 no.2
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    • pp.69-79
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    • 2009
  • Today's Internet is one of the necessaries of our life. Anomalies of the Internet provoke social problems. For that reason, Internet Measurement which studies characteristics on Internet traffic attracts pubic attention. Recently, Traffic Dispersion Graph (TDG), a novel traffic analysis method, was proposed. The TDG is not a statistical analysis method but a graphical visualization method on interactions among network components. In this paper, we propose a new anomaly detection paradigm and its technique using TDG. The existing studies have focused on detecting anomalous packets of flows. On the other hand, we focus on detecting the sources of anomalous traffic. To realize our paradigm, we designed the TDG Clustering method. Through this method, we could classify anomalous hosts infected by various worm viruses. We obtained normal traffic through dropping traffic of the anomalous hosts. Especially, we expect that the TDG clustering method can be applied to real-time anomaly detection because calculations of the method are fast.

An Analysis about the Features of Mathematical Learning of Middle School Students through the Distribution Graphs of the Responses Percentages in National Assessment of Educational Achievement (학업성취도 평가에서 답지 반응률 분포 그래프를 활용한 중학생의 수학과 학업 특성 분석)

  • Jo, Yun Dong;Lee, Kwang Sang
    • Journal of Educational Research in Mathematics
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    • v.25 no.1
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    • pp.1-19
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    • 2015
  • This paper aims to explore what we can improve in the curriculum, teaching-learning, and evaluation on the bases of the analyses of multiple-choice items set in National Assessment of Educational Achievement. For this goal, by using the distribution curves of the responses percentages, we will grasp the features of educational achievement which appear to students through an in-depth analysis about not only item itself but also the contents included in particular distracters. These analyses provide more information than the descriptive statistical values such as the mean of correct answer percentage and the discrimination of whole group and the mean of responses percentages of replies of subgroups. Because the distribution curves of the responses percentages reveal the transition from the lowest to the highest educational achievement very well. From these analyses we acquire the implications about the concept of prime factor or prime factorization, ratio(proportion) such as velocity, linear function, volume of cone, properties of solid figure, and probabilities of empty event and total event.

A Study on the Statistical Analysis of Korea Patent Information (한국특허정보의 통계분석에 관한 연구)

  • Uhm, Dai-Ho;Chang, Young-Bae;Jeong, Eui-Seop
    • Journal of Information Management
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    • v.41 no.3
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    • pp.27-44
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    • 2010
  • Most research about patent data analyzes the trend of technologies using a Patent Map(PM), and suggests the frequencies and trend of patents in a certain topic using tables or graphs in Excel. However, more advanced analysis tools are recently needed to compare the trends among national and international industries. This research discussed why statistical analysis is needed to improve the reliability in PM analysis, and the research compares the trends of patents in Korea between 1990 and 2004 by years, International Patent Classification(IPC) sections, and countries using the frequencies and Poisson regression model. The statistical analysis is also suggested and applied to R&D studies.

Implementation of Saemangeum Coastal Environmental Information System Using GIS (지리정보시스템을 이용한 새만금 해양환경정보시스템 구축)

  • Kim, Jin-Ah;Kim, Chang-Sik;Park, Jin-Ah
    • Journal of the Korean Association of Geographic Information Studies
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    • v.14 no.4
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    • pp.128-136
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    • 2011
  • To monitor and predict the change of coastal environment according to the construction of Saemangeum sea dyke and the development of land reclamation, we have done real-time and periodic ocean observation and numerical simulation since 2002. Saemangeum coastal environmental data can be largely classified to marine meteorology, ocean physics and circulation, water quality, marine geology and marine ecosystem and each part of data has been generated continuously and accumulated over about 10 years. The collected coastal environmental data are huge amounts of heterogeneous dataset and have some characteristics of multi-dimension, multivariate and spatio-temporal distribution. Thus the implementation of information system possible to data collection, processing, management and service is necessary. In this study, through the implementation of Saemangeum coastal environmental information system using geographic information system, it enables the integral data collection and management and the data querying and analysis of enormous and high-complexity data through the design of intuitive and effective web user interface and scientific data visualization using statistical graphs and thematic cartography. Furthermore, through the quantitative analysis of trend changed over long-term by the geo-spatial analysis with geo- processing, it's being used as a tool for provide a scientific basis for sustainable development and decision support in Saemangeum coast. Moreover, for the effective web-based information service, multi-level map cache, multi-layer architecture and geospatial database were implemented together.

A Study on the Performance Analysis of Statistical Multiplexer by the Queueing Model (Queueing 모델에 의한 통계적 다중화기의 성능 분석에 관한 연구)

  • 이주식;김태준;김근배;이종현;임해진;박병철
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.17 no.1
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    • pp.1-10
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    • 1992
  • In the already presented paper, the performance analysis of SMUX was need a lot of time bacause of recussive method, So this paper proposed the new mathematical method for the SMUX's performance. And it is constructed and analyzed the queueing model for SMUX based on the Go-back N retransmission ARQ model. It is assumed that it has the infinite buffer and a single server. It is analzied the parameters that have influence on the byffer and a single server. It is analzied the parameters that have influence on the buffer behaviour of statistical multiplexer overflow probabilities. maximum buffer size. mean wating time and mean buffer size, and these relationship are represented the graphs and datas which provided a guide to the buffer design problem. As these results. it is efficient when the SMUX is apphed that the traffic density is below 0.5 and transmission error probabilities is below 10­$^3$. So this paper can be applied to the basic and theoretical background prior to the implementation of SMUX.

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Comparison of several criteria for ordering independent components (독립성분의 순서화 방법 비교)

  • Choi, Eunbin;Cho, Sulim;Park, Mira
    • The Korean Journal of Applied Statistics
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    • v.30 no.6
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    • pp.889-899
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    • 2017
  • Independent component analysis is a multivariate approach to separate mixed signals into original signals. It is the most widely used method of blind source separation technique. ICA uses linear transformations such as principal component analysis and factor analysis, but differs in that ICA requires statistical independence and non-Gaussian assumptions of original signals. PCA have a natural ordering based on cumulative proportion of explained variance; howerver, ICA algorithms cannot identify the unique optimal ordering of the components. It is meaningful to set order because major components can be used for further analysis such as clustering and low-dimensional graphs. In this paper, we compare the performance of several criteria to determine the order of the components. Kurtosis, absolute value of kurtosis, negentropy, Kolmogorov-Smirnov statistic and sum of squared coefficients are considered. The criteria are evaluated by their ability to classify known groups. Two types of data are analyzed for illustration.