• Title/Summary/Keyword: multi-response data

Search Result 414, Processing Time 0.028 seconds

A research on Characteristics of the Spatial Compositions in Kindergarten -The Case Study of Kindergarten in Daegu Area- (피유치원의 공간구성적 특성에 관한 연구 -대구지역 유치원 사례를 중심으로-)

  • Jeong, Chang-Won
    • Journal of the Korean Society of Industry Convergence
    • /
    • v.16 no.3
    • /
    • pp.75-83
    • /
    • 2013
  • The purpose of this study was to investigate its characteristics of the spatial compositions at several kindergartens in Daegu area. Through this, the study is intended to provide the basic data of the efficient building planning and facility operations in the kindergarten. The results of this study are as follows. 1) Recently, the spatial compositions of kindergarten was classified as education, educational aids, educational support, teacher / administration, and public service area. 2) The concept of special classroom space was set up in all the surveyed facilities. This space was used for small-scale events, meals, and game features. 3) Support staff, including teachers, are insufficient for the service space. 4) The size of total land area of the facility's public service area was affecting. 5) The Lobby and aisle space of the surveyed facilities was used as a multipurpose space. 6) In response to diverse educational content, the direction to plan should be seperated by multi-space.

Study of Neuron Operation using Controlled Chaotic Instabilities in Brillouin-Active Fiber Based Neural Networks

  • Kim, Yong-K.;Huh, Do-Geun;Kim, Kwan-Woong;Yu, C.
    • Journal of Electrical Engineering and Technology
    • /
    • v.1 no.4
    • /
    • pp.546-549
    • /
    • 2006
  • In this paper the neuron operation based on Brillouin-active fiber in optical fiber is described. The inherent optical feedback by the backscattered stokes wave in optical fiber leads to instabilities in the form of optical chaos. Controlling of chaos induced transient instability in Brillouin-active fiber is implemented with Kerr nonlinearity having a non-instantaneous response in network systems. The controlling chaotic instabilities can lead to multistable periodic states; create optical logic 'on' or high level '1' or 'off', or low level '0'. It is theoretically possible to apply the multi-stability regimes as an optical memory device for encoding and decoding series and complex data transmission in optical systems.

Web based Online Real-time Reliability Integrated Information System in Composite Power System Considering Wind Turbine Generators (풍력발전기를 고려한 복합전력계통의 웹기반 온라인 실시간 신뢰도 정보 시스템의 개발)

  • Cho, Kyeong-Hee;Choi, Jae-Seok
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.60 no.7
    • /
    • pp.1305-1313
    • /
    • 2011
  • Web based online real-time reliability integrated information system is asked rapidly for more efficiency and demand response in recent. As the utilization of renewable resources has been receiving considerable attention in recent years, the information system requirement is increased. Specially, the reliability information system is more important for implementing the smart grid. This paper describes architecture of the WORRIS(Web based Online Real-time Reliability Integrated Information System) Version 7.0 system that simulates the reliability indices in composite power system considering wind turbine generators(WTG) developed successfully in this paper. And we had simulated the case study using Jeju island power system data.

A stream cube to reduce the average response time in the multi-dimensional analysis of stream data (스트림 데이터의 다차원 분석에서 평균응답시간을 줄이는 스트림 큐브)

  • Do, Ki-Seok;Park, Seog
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2005.07b
    • /
    • pp.55-57
    • /
    • 2005
  • 유비쿼터스 환경이 도래함에 따라 데이터 흐름이 신속하고 연속적으로 변화하고 있다. 이러한 스트림형태의 데이터는 데이터의 치명적 변화, 자주 발생하지 않는 패턴 등의 관점에서 데이터 분석을 필요로 하고 있다. 본 논문에서는 다단계의 추상화 데이터 분석이 용이한 다차원 분석에 기반하여 고정적인 공간활용만이 가능했던 기존 방식을 살펴본 후 이를 유동적으로 보완하여 공간 비용을 최소화 하면서 평균응답시간을 줄여주는 방법에 대해 논의한다. 또한 제안 방법의 시공간 비용을 수식으로 증명하고 기존 방법과의 비교 실험을 통하여 성능을 평가해 본다.

  • PDF

Processing of dynamic wind pressure loads for temporal simulations

  • Hemon, Pascal
    • Wind and Structures
    • /
    • v.21 no.4
    • /
    • pp.425-442
    • /
    • 2015
  • This paper discusses the processing of the wind loads measured in wind tunnel tests by means of multi-channel pressure scanners, in order to compute the response of 3D structures to atmospheric turbulence in the time domain. Data compression and the resulting computational savings are still a challenge in industrial contexts due to the multiple trial configurations during the construction stages. The advantage and robustness of the bi-orthogonal decomposition (BOD) is demonstrated through an example, a sail glass of the Fondation Louis Vuitton, independently from any tentative physical interpretation of the spatio-temporal decomposition terms. We show however that the energy criterion for the BOD has to be more rigorous than commonly admitted. We find a level of 99.95 % to be necessary in order to recover the extreme values of the loads. Moreover, frequency limitations of wind tunnel experiments are sometimes encountered in passing from the scaled model to the full scale structure. These can be alleviated using a spectral extension of the temporal function terms of the BOD.

System Development for Measuring Group Engagement in the Art Center (공연장에서 다중 몰입도 측정을 위한 시스템 개발)

  • Ryu, Joon Mo;Choi, Il Young;Choi, Lee Kwon;Kim, Jae Kyeong
    • Journal of Intelligence and Information Systems
    • /
    • v.20 no.3
    • /
    • pp.45-58
    • /
    • 2014
  • The Korean Culture Contents spread out to Worldwide, because the Korean wave is sweeping in the world. The contents stand in the middle of the Korean wave that we are used it. Each country is ongoing to keep their Culture industry improve the national brand and High added value. Performing contents is important factor of arousal in the enterprise industry. To improve high arousal confidence of product and positive attitude by populace is one of important factor by advertiser. Culture contents is the same situation. If culture contents have trusted by everyone, they will give information their around to spread word-of-mouth. So, many researcher study to measure for person's arousal analysis by statistical survey, physiological response, body movement and facial expression. First, Statistical survey has a problem that it is not possible to measure each person's arousal real time and we cannot get good survey result after they watched contents. Second, physiological response should be checked with surround because experimenter sets sensors up their chair or space by each of them. Additionally it is difficult to handle provided amount of information with real time from their sensor. Third, body movement is easy to get their movement from camera but it difficult to set up experimental condition, to measure their body language and to get the meaning. Lastly, many researcher study facial expression. They measures facial expression, eye tracking and face posed. Most of previous studies about arousal and interest are mostly limited to reaction of just one person and they have problems with application multi audiences. They have a particular method, for example they need room light surround, but set limits only one person and special environment condition in the laboratory. Also, we need to measure arousal in the contents, but is difficult to define also it is not easy to collect reaction by audiences immediately. Many audience in the theater watch performance. We suggest the system to measure multi-audience's reaction with real-time during performance. We use difference image analysis method for multi-audience but it weaks a dark field. To overcome dark environment during recoding IR camera can get the photo from dark area. In addition we present Multi-Audience Engagement Index (MAEI) to calculate algorithm which sources from sound, audience' movement and eye tracking value. Algorithm calculates audience arousal from the mobile survey, sound value, audience' reaction and audience eye's tracking. It improves accuracy of Multi-Audience Engagement Index, we compare Multi-Audience Engagement Index with mobile survey. And then it send the result to reporting system and proposal an interested persons. Mobile surveys are easy, fast, and visitors' discomfort can be minimized. Also additional information can be provided mobile advantage. Mobile application to communicate with the database, real-time information on visitors' attitudes focused on the content stored. Database can provide different survey every time based on provided information. The example shown in the survey are as follows: Impressive scene, Satisfied, Touched, Interested, Didn't pay attention and so on. The suggested system is combine as 3 parts. The system consist of three parts, External Device, Server and Internal Device. External Device can record multi-Audience in the dark field with IR camera and sound signal. Also we use survey with mobile application and send the data to ERD Server DB. The Server part's contain contents' data, such as each scene's weights value, group audience weights index, camera control program, algorithm and calculate Multi-Audience Engagement Index. Internal Device presents Multi-Audience Engagement Index with Web UI, print and display field monitor. Our system is test-operated by the Mogencelab in the DMC display exhibition hall which is located in the Sangam Dong, Mapo Gu, Seoul. We have still gotten from visitor daily. If we find this system audience arousal factor with this will be very useful to create contents.

A Study on Sample Allocation for Stratified Sampling (층화표본에서의 표본 배분에 대한 연구)

  • Lee, Ingue;Park, Mingue
    • The Korean Journal of Applied Statistics
    • /
    • v.28 no.6
    • /
    • pp.1047-1061
    • /
    • 2015
  • Stratified random sampling is a powerful sampling strategy to reduce variance of the estimators by incorporating useful auxiliary information to stratify the population. Sample allocation is the one of the important decisions in selecting a stratified random sample. There are two common methods, the proportional allocation and Neyman allocation if we could assume data collection cost for different observation units equal. Theoretically, Neyman allocation considering the size and standard deviation of each stratum, is known to be more effective than proportional allocation which incorporates only stratum size information. However, if the information on the standard deviation is inaccurate, the performance of Neyman allocation is in doubt. It has been pointed out that Neyman allocation is not suitable for multi-purpose sample survey that requires the estimation of several characteristics. In addition to sampling error, non-response error is another factor to evaluate sampling strategy that affects the statistical precision of the estimator. We propose new sample allocation methods using the available information about stratum response rates at the designing stage to improve stratified random sampling. The proposed methods are efficient when response rates differ considerably among strata. In particular, the method using population sizes and response rates improves the Neyman allocation in multi-purpose sample survey.

An Intrusion Detection System based on the Artificial Neural Network for Real Time Detection (실시간 탐지를 위한 인공신경망 기반의 네트워크 침입탐지 시스템)

  • Kim, Tae Hee;Kang, Seung Ho
    • Convergence Security Journal
    • /
    • v.17 no.1
    • /
    • pp.31-38
    • /
    • 2017
  • As the cyber-attacks through the networks advance, it is difficult for the intrusion detection system based on the simple rules to detect the novel type of attacks such as Advanced Persistent Threat(APT) attack. At present, many types of research have been focused on the application of machine learning techniques to the intrusion detection system in order to detect previously unknown attacks. In the case of using the machine learning techniques, the performance of the intrusion detection system largely depends on the feature set which is used as an input to the system. Generally, more features increase the accuracy of the intrusion detection system whereas they cause a problem when fast responses are required owing to their large elapsed time. In this paper, we present a network intrusion detection system based on artificial neural network, which adopts a multi-objective genetic algorithm to satisfy the both requirements: accuracy, and fast response. The comparison between the proposing approach and previously proposed other approaches is conducted against NSL_KDD data set for the evaluation of the performance of the proposing approach.

Multi-Source Media Streaming based Contents Distribution in P2P Network Environment (P2P 네트워크에서 멀티소스 스트리밍을 이용한 컨텐츠 분배)

  • Lee, Sung-Yong;So, Yang-Seon;Lee, Jae-Gil;Choi, Chang-Yeol
    • The KIPS Transactions:PartA
    • /
    • v.11A no.5
    • /
    • pp.325-332
    • /
    • 2004
  • For a P2P network, the contents distribution is a very important service because the contents provider is not fixed. And in the P2P media streaming, a request peer replays and saves media data simultaneously, and after streaming it acts as a new source peer providing media files to other peers. Therefore streaming and file saying operations should be simultaneously carried out in order to distribute contents through the P2P network. In this paper, a P2P multi-source media streaming system which can replay the contents data during downloading is proposed and implemented. The system reduces the user response time and the number of simultaneous user increases more than two times. Moreover, transmitting a part of media file makes fast distribution and diffusion of contents possible.

Evaluation of Risk Factors to Detect Anomaly in Water Supply Networks Based on the PROMETHEE and ANP (상수도관망의 이상징후 판정을 위한 위험요소 평가 - PROMETHEE와 ANP 기법 중심으로)

  • Hong, Sung-Jun;Lee, Yong-Dae;Kim, Sheung-Kown;Kim, Joong-Hoon
    • Journal of Korea Water Resources Association
    • /
    • v.39 no.1 s.162
    • /
    • pp.35-46
    • /
    • 2006
  • In this study, we proposed a layout of the integrated decision support system in order to prevent the contamination and to manage risk in water supply networks for safe and smooth water supply. We evaluated the priority of risk factors to detect anomaly in water supply networks using PROMETHEE and ANP techniques, which are applied to various Multi-Criteria Decision Making area in Europe and America. To develop the model, we selected pH, residual chlorine concentration, discharge, hydraulic pressure, electrical conductivity, turbidity, block leakage and water temperature as the key data item. We also chose pipe corrosion, pipe burst and water pollution in pipe as the criteria and then we present the results of PROMETHEE and ANP analysis. The evaluation results of the priority of risk factors in water supply networks will provide basic data to establish a contingency plan for accidents so that we can establish the specific emergency response procedures.