• Title/Summary/Keyword: 융합모델

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Sales Prediction of Electronic Appliances using a Convergence Model based on Artificial Neural Network and Genetic Algorithm (인공신경망과 유전자 알고리즘 기반의 융합모델을 이용한 가전제품의 판매예측)

  • Seo, Kwang-Kyu
    • Journal of Digital Convergence
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    • v.13 no.9
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    • pp.177-182
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    • 2015
  • The brand and product awareness of Korean electronics companies in the North American market has grown significantly and North American consumers has been recognized as an innovative technology products good performance of Korean electronics appliances. The consumer need of energy saving has led to a rise in market share because Korean electronics appliances have the excellence in energy saving aspects. The expansion of smartphones and mobile devices and the development of smart grid technology can affect electronics market. Domestic companies are continuously develop new product to provide consumers convenient with a variety of additional features combined consumer products. This study proposes a convergence model for sales prediction of electronic appliances using sales data of A company from the North American market. We develop the convergence model for sales prediction based on based on artificial neural network and genetic algorithm. In addition, we validate the superiority of the proposed convergence model by comparing the prediction performance of traditional prediction models.

A Study on Face Expression Recognition using LDA Mixture Model and Nearest Neighbor Pattern Classification (LDA 융합모델과 최소거리패턴분류법을 이용한 얼굴 표정 인식 연구)

  • No, Jong-Heun;Baek, Yeong-Hyeon;Mun, Seong-Ryong;Gang, Yeong-Jin
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • pp.167-170
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    • 2006
  • 본 논문은 선형분류기인 LDA 융합모델과 최소거리패턴분류법을 이용한 얼굴표정인식 알고리즘 연구에 관한 것이다. 제안된 알고리즘은 얼굴 표정을 인식하기 위해 두 단계의 특징 추출과정과 인식단계를 거치게 된다. 먼저 특징추출 단계에서는 얼굴 표정이 담긴 영상을 PCA를 이용해 고차원에서 저차원의 공간으로 변환한 후, LDA 이용해 특징벡터를 클래스 별로 나누어 분류한다. 다음 단계로 LDA융합모델을 통해 계산된 특징벡터에 최소거리패턴분류법을 적용함으로서 얼굴 표정을 인식한다. 제안된 알고리즘은 6가지 기본 감정(기쁨, 화남, 놀람, 공포, 슬픔, 혐오)으로 구성된 데이터베이스를 이용해 실험한 결과, 기존알고리즘에 비해 향상된 인식률과 특정 표정에 관계없이 고른 인식률을 보임을 확인하였다.

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An Agro-ICT Convergence Model for Smart Agricultural Service Based on IoT (IoT기반의 지능형 농업서비스를 위한 농업ICT 융합 모델)

  • Kwak, Kyunghun;Kim, Hong-geun;Cho, Kyongryong;Park, Jangwoo;Cho, Yongyun
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.1033-1035
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    • 2015
  • 최근, IT기술과의 융합은 전 산업 분야에서 활발히 적용되고 있으며, 기후 및 환경변화와 식품 안전에 대한 관심의 증대와 함께, 농축수산업 분야에서의 ICT융합 연구 시도가 크게 증가하고 있다. 특히, 농업환경에서의 생산성 향상 및 식품 안전성 확보를 위해 다양한 형태의 상황정보 기반 연구와 센서 네트워크를 활용한 지능형 서비스 제공 기술 연구가 활발히 진행되고 있다. 본 논문에서는 다양한 장비 및 센서가 컴퓨팅 장비와의 네트워킹을 통해 식물공장 및 유리온실과 같은 시설농업환경에서 지능형 농업서비스를 제공하기 위한 농업ICT 융합 모델을 제안한다. 제안하는 서비스 융합모델은 센서를 통해 획득한 다양한 상태정보를 인식하기 위해 상황정보 모델과, 이를 장비와 센서간에 공유된 지식으로 표현하고 활용하기 위한 온톨로지 모델을 사용한다. 제안하는 서비스 융합 모델은 농업ICT 융합 환경에서의 IoT기반 지능형 서비스를 위한 향후 관련 연구에 도움을 줄 것으로 기대한다.

Design of Service Convergence Models based on Broadcast-Communications Services (방송통신서비스 기반의 서비스융합 모델의 설계)

  • Kwon, Ho-Yeol
    • 한국IT서비스학회:학술대회논문집
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    • pp.311-313
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    • 2009
  • 최근 서비스 사이언스에 대한 관심과 함께 다양한 서비스의 융합을 통한 서비스 혁신이 논의되고 있다. 본 논문에서는 방송통신서비스를 중심으로 융합 서비스를 제공하는 서비스 융합모델을 제시한다. 이를 위하여 먼저 서비스 사이언스의 관점에서 방송통신서비스의 특성을 분석하고, 방송통신서비스를 다양한 서비스의 융합채널로 활용하는 서비스 모델을 교육, 의료, 관광 등의 분야에 대하여 제시한다.

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The Strategy of the Development of the Healthcare Service Fusion Model for the Senior (고령자를 위한 헬스케어 서비스 융합모델 개발 전략)

  • Yang, Dong-Suk;Yoon, Young-Ho;Kim, Seok-Hwa;Park, Hwan-Yong
    • Proceedings of the Korea Information Processing Society Conference
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    • pp.1158-1161
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    • 2011
  • 고령화 사회로 진입하고 있는 시점에 고령인구에 대한 복지정책 및 사회전반적인 대응 방안이 모색되어져야할 시기이다. 특히, 고령인구 특성상 의료문제를 해결할 수 있는 효과적인 방법들의 연구가 시급하다. 그러한 문제를 해결하는 방안으로 U-헬스분야와 IT 분야 및 건설분야의 융합을 통한 효율적인 헬스케어 서비스 모델 개발이 요구되고 있다. 본 연구에서는 융합모델의 성공적인 결과 도출을 위한 모델의 구성과 추진 전략 등을 제안하였다.

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A Study on Fuzzy Wavelet LDA Mixed Model for an effective Face Expression Recognition (효과적인 얼굴 표정 인식을 위한 퍼지 웨이브렛 LDA융합 모델 연구)

  • Rho, Jong-Heun;Baek, Young-Hyun;Moon, Sung-Ryong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.6
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    • pp.759-765
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    • 2006
  • In this paper, it is proposed an effective face expression recognition LDA mixed mode using a triangularity membership fuzzy function and wavelet basis. The proposal algorithm gets performs the optimal image, fuzzy wavelet algorithm and Expression recognition is consisted of face characteristic detection step and face Expression recognition step. This paper could applied to the PCA and LDA in using some simple strategies and also compares and analyzes the performance of the LDA mixed model which is combined and the facial expression recognition based on PCA and LDA. The LDA mixed model is represented by the PCA and the LDA approaches. And then we calculate the distance of vectors dPCA, dLDA from all fates in the database. Last, the two vectors are combined according to a given combination rule and the final decision is made by NNPC. In a result, we could showed the superior the LDA mixed model can be than the conventional algorithm.

Evaluation of Spatio-temporal Fusion Models of Multi-sensor High-resolution Satellite Images for Crop Monitoring: An Experiment on the Fusion of Sentinel-2 and RapidEye Images (작물 모니터링을 위한 다중 센서 고해상도 위성영상의 시공간 융합 모델의 평가: Sentinel-2 및 RapidEye 영상 융합 실험)

  • Park, Soyeon;Kim, Yeseul;Na, Sang-Il;Park, No-Wook
    • Korean Journal of Remote Sensing
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    • v.36 no.5_1
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    • pp.807-821
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    • 2020
  • The objective of this study is to evaluate the applicability of representative spatio-temporal fusion models developed for the fusion of mid- and low-resolution satellite images in order to construct a set of time-series high-resolution images for crop monitoring. Particularly, the effects of the characteristics of input image pairs on the prediction performance are investigated by considering the principle of spatio-temporal fusion. An experiment on the fusion of multi-temporal Sentinel-2 and RapidEye images in agricultural fields was conducted to evaluate the prediction performance. Three representative fusion models, including Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM), SParse-representation-based SpatioTemporal reflectance Fusion Model (SPSTFM), and Flexible Spatiotemporal DAta Fusion (FSDAF), were applied to this comparative experiment. The three spatio-temporal fusion models exhibited different prediction performance in terms of prediction errors and spatial similarity. However, regardless of the model types, the correlation between coarse resolution images acquired on the pair dates and the prediction date was more significant than the difference between the pair dates and the prediction date to improve the prediction performance. In addition, using vegetation index as input for spatio-temporal fusion showed better prediction performance by alleviating error propagation problems, compared with using fused reflectance values in the calculation of vegetation index. These experimental results can be used as basic information for both the selection of optimal image pairs and input types, and the development of an advanced model in spatio-temporal fusion for crop monitoring.

A Method of Improving Plan for The Local City Competitive Power Utilizing by Private Communication Networks in An Ubiquitous-City RFID Wireless Infra (U-City RFID무선인프라 자가통신네트워크를 연계한 지방자치 도시경쟁력 제고방안)

  • Lee, Bong-Choon;Ha, Deock-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • pp.657-662
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    • 2009
  • The international society under the internet technology have been declining boundaries of the global economy. After this step, a social revolution will be happen from the ubiquitous technology which gives objects intelligence to serve people. And then it is expected that every part of a city competitive power is defined by both in quality and in quantity of the ubiquitous information unit in the future. On this score, now each nation is trying to set relative services and broadband networks to lead the ubiquitous industry. Therefore this paper analyzed about the progress and prospect of a local U-city plan in our nation. And than we propose a method of configurating broadband self-communication network on the base of cost and utilization Especially we propose a new city development model which use U-city and self-communication network to improve a city competitive power.

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Squeal Analysis of Disc Brake Using Analytical-FE Squeal Model (스퀼융합모델을 이용한 디스크 브레이크 스퀼 소음 연구)

  • Kang, Jaeyoung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.11
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    • pp.6406-6411
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    • 2014
  • This paper presents the analytical-FE (finite element) squeal model, which can provide the efficient simulation time and accuracy. The system geometry and the extraction of the vibration modes were constructed using the finite element method. Instead, the friction contact model was derived from theoretical contact kinematics of the rotating disc and the stationary pads. This modeling procedure was incorporated into the perturbed equations of motion based on the finite elements of the system. Throughout the analytical-FE squeal model, the accuracy of linear stability analysis and the simulation time of FE squeal analysis were improved. In addition, the sensitivity of contact stiffness on brake squeal and the mode-coupling mechanism were provided by the system parameter study.