• Title/Summary/Keyword: intelligent Building

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A Study on an Adaptive Guidance Plan by Quickest Path Algorithm for Building Evacuations due to Fire (건물 화재시 Quickest Path를 이용한 Adaptive 피난경로 유도방안)

  • Sin, Seong-Il;Seo, Yong-Hui;Lee, Chang-Ju
    • Journal of Korean Society of Transportation
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    • v.25 no.6
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    • pp.197-208
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    • 2007
  • Enormously sized buildings are appearing world-wide with the advancement of construction techniques. Large-scaled and complicated structures will have increased difficulties for dealing with safety, and will demand well-matched safety measures. This research introduced up-to-date techniques and systems which are applied in buildings in foreign nations. Furthermore, it proposed s direct guidance plan for buildings in case of fire. Since it is possible to install wireless sensor networks which detect fires or effects of fire, the plan makes use of this information. Accordingly, the authors completed a direct guidance plan that was based on omnidirectional guidance lights. It is possible to select a route with concern about both time and capacity with a concept of a non-dominated path. Finally, case studies showed that quickest path algorithms were effective for guiding efficient dispersion routes and in case of restriction of certain links in preferred paths due to temperature and smoke, it was possible to avoid relevant links and to restrict demand in the network application. Consequently, the algorithms were able to maximize safety and minimize evacuation time, which were the purposes of this study.

Building an Analytical Platform of Big Data for Quality Inspection in the Dairy Industry: A Machine Learning Approach (유제품 산업의 품질검사를 위한 빅데이터 플랫폼 개발: 머신러닝 접근법)

  • Hwang, Hyunseok;Lee, Sangil;Kim, Sunghyun;Lee, Sangwon
    • Journal of Intelligence and Information Systems
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    • v.24 no.1
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    • pp.125-140
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    • 2018
  • As one of the processes in the manufacturing industry, quality inspection inspects the intermediate products or final products to separate the good-quality goods that meet the quality management standard and the defective goods that do not. The manual inspection of quality in a mass production system may result in low consistency and efficiency. Therefore, the quality inspection of mass-produced products involves automatic checking and classifying by the machines in many processes. Although there are many preceding studies on improving or optimizing the process using the data generated in the production process, there have been many constraints with regard to actual implementation due to the technical limitations of processing a large volume of data in real time. The recent research studies on big data have improved the data processing technology and enabled collecting, processing, and analyzing process data in real time. This paper aims to propose the process and details of applying big data for quality inspection and examine the applicability of the proposed method to the dairy industry. We review the previous studies and propose a big data analysis procedure that is applicable to the manufacturing sector. To assess the feasibility of the proposed method, we applied two methods to one of the quality inspection processes in the dairy industry: convolutional neural network and random forest. We collected, processed, and analyzed the images of caps and straws in real time, and then determined whether the products were defective or not. The result confirmed that there was a drastic increase in classification accuracy compared to the quality inspection performed in the past.

Intelligent Architectural Design Module for Process Automation of Hanok Constructions (한옥 건축공정 자동화를 위한 지능형 설계모듈의 구현)

  • Ahn, Eun-Young
    • Journal of Korea Multimedia Society
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    • v.15 no.9
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    • pp.1156-1164
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    • 2012
  • Hanok is a cultural heritage containing our ancestor's life style intact and breathing alive with us until now. As Hanok has been concerned as a echo-friendly architecture, a new methodology for efficient construction without damaging the traditional construction process comes into request. The goal of this research is development of a architectural design tool based on the BIM(Building Information Modeling) for satisfying these demands. It will be usable to support whole process of the traditional building from digital design to production and construction. Firstly, we take a consideration of the traditional architecture reflecting the spirit of the age and suggest efficient design method for architectural components. Each components is pre-fabricated as a template representing similar components. All pre-fabricated components are designed by object-oriented concepts so, many variations for a component can be derived from the pre-fabricated component. Our method is helpful for reducing design errors because that it considers combining rule between connecting components in the template design. Moreover it is plugged in the commercial architectural CAD, so it can supports digital design not only traditional architecture but also fusion style mixed with modern architecture.

Context-Aware Steel-Plate Piling Process System For Improving the Ship-Building Process (선박 건조공정 개선을 위한 상황인지 컴퓨팅 기반의 강재적치처리시스템)

  • Kang, Dong-Hoon;Ha, Chang-Wan;Kim, Je-Wook;Oh, Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.6
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    • pp.165-178
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    • 2011
  • A gigantic ship is constructed by assembling various types of ship blocks, each block being made by cutting and piecing the steel-plates together. The steel-plate piling process as the initial stage of ship construction sorts and manages the steel-plates according to the ship blocks that the steel-plates are used to make. The steel-plate piling process poses some problems such as process delay due to piling errors, safety vulnerability due to the handling of extra heavy-weight objects, and the uncertainty of work plan due to lack of information management in the pile spaces. We constructed a steel-plate piling process system based on the context-aware computing to resolve such problems. We built simulation system that can simulate the piling process and then established a smart space within the system by using tags, sensors and a real-time location system in order to collect context information. Workers receive an appropriate or intelligent service from the system.

Developing A Multi-dimensional Spatio-visual Information System (다차원기반 고정밀 공간영상정보 시스템 구축에 관한 연구)

  • Kim, Mi-Yun;Yeo, Wook-Hyun;Choi, Jin-Won
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.27 no.6
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    • pp.649-658
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    • 2009
  • The recent emergence of the paradigm of new urban planning for building intelligent urban spaces, such as U-City and U-Eco City, of which the concept of ubiquitous technology is applied, requires high quality three-dimensional spatial information of the urban area. The aim of this study is to build a multi-dimensional spatio-visual information system that includes the solution for visualization, spatial information search, analysis, and evaluation by integrating various types of 3D-modeled spatial information concerning the large urban-size area based on the latest GIS application technology. The range of this study is the integration, visualization, and utilization of spatial information with the goal of building 3D virtual urban environment of high-quality and high-resolution by increasing the utilization of the systematic urban facilities in order to fully reflect the actual user's needs, using the aerial LiDAR data as the plan to overcome the limitations of the existing 3D urban modeling. By reproducing the virtual urban environment the most similar to the actual world through the mash-up of satellite images and aerial photos on the standard format of spatial information constituted of properties and signs, the system will be built with many analysis and utilization functions that support the view and sunlight analysis, various administrative tasks, as well as the decision making process of the city.

Analysis and Optimization of ICT Application in Construction Phase (시공단계 ICT 도입 효과분석 및 최적화 방안)

  • Go, Tae-Yong;Kim, Ryul-Hee;Lee, Dong-Eun
    • Journal of the Korea Institute of Building Construction
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    • v.19 no.2
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    • pp.175-184
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    • 2019
  • This paper presents a modeling prototype that optimizes construction processes implementing information communication technology (ICT). Using "IAMB", each and every actual steps of the construction process may be defined visually and explicitly by elaborating ICT to improve productivity and management efficiency. It contributes to identify the features on what parts of construction task are covered by ICT, and the effects of ICT on process performance. After analyzing 10 real project cases, ICT application types are classified into four categories according to ICT type, job functions that ICT applied, and the project phase in which ICT used. As a reuslt, it was confirmed that the positive outcomes on the construction process were beneficial to mostly the general contractors and mainly obtained by automated information processing, external consignment and consistent information use. Negative effects, which were occurred by mainly manual manipulation and duplication of information handling, were accrued to general contractors minimally, but to subcontractors maximally. Expert focus group commends that several important issues should be considered when implementing ICT.

A Study on Automatic Solar Tracking Design of Rooftop Solar Power Generation System and Linkage with Education Curriculum (지붕 설치형 태양광 발전 시스템의 태양 위치 추적 구조물 설계 및 설치 실증 기법의 교육과정 연계)

  • Woo, Deok Gun;Seo, Choon Won;Lee, Hyo-Jai
    • Journal of Practical Engineering Education
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    • v.14 no.2
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    • pp.387-392
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    • 2022
  • To participate in global carbon neutrality, the Korean government is also planning to carry out zero-energy building certification for all buildings by 2030 through the enforcement decree of the 'Green Building Support Act'. Accordingly, the government is providing various projects related to solar power generation, which are relatively close to life. In particular, roof-mounted photovoltaic power generation systems are attracting attention in terms of using unused space to produce energy without destroying the environment, but low power generation efficiency compared to other photovoltaic power generation facilities is pointed out as a disadvantage. Therefore, in this paper, to solve this problem, we propose an efficient solar panel angle variable system through research on the solar panel structure for single-axial solar tracking, and also consider the application environment of the roof-mounted solar power generation system. Suggests measures to prevent damage and secondary damage. In addition, it is judged that it is possible to control the solar panel based on ICT convergence and configure the accident prediction safety system to link the project-based education program.

Design and Implementation of Sandcastle Play Guide Application using Artificial Intelligence and Augmented Reality (인공지능과 증강현실 기술을 이용한 모래성 놀이 가이드 애플리케이션 설계 및 구현)

  • Ryu, Jeeseung;Jang, Seungwoo;Mun, Yujeong;Lee, Jungjin
    • Journal of the Korea Computer Graphics Society
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    • v.28 no.3
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    • pp.79-89
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    • 2022
  • With the popularity and the advanced graphics hardware technology of mobile devices, various mobile applications that help children with physical activities have been studied. This paper presents SandUp, a mobile application that guides the play of building sand castles using artificial intelligence and augmented reality(AR) technology. In the process of building the sandcastle, children can interactively explore the target virtual sandcastle through the smartphone display using AR technology. In addition, to help children complete the sandcastle, SandUp informs the sand shape and task required step by step and provides visual and auditory feedback while recognizing progress in real-time using the phone's camera and deep learning classification. We prototyped our SandUp app using Flutter and TensorFlow Lite. To evaluate the usability and effectiveness of the proposed SandUp, we conducted a questionnaire survey on 50 adults and a user study on 20 children aged 4~7 years. The survey results showed that SandUp effectively helps build the sandcastle with proper interactive guidance. Based on the results from the user study on children and feedback from their parents, we also derived usability issues that can be further improved and suggested future research directions.

Agent's Learning Concept for Negation (에이전트의 부정에 대한 개념 학습)

  • Tae, Kang-Soo
    • Journal of KIISE:Software and Applications
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    • v.27 no.5
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    • pp.521-528
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    • 2000
  • One of the hidden problems in a domain theory is that an agent does not understand the meaning of its action. Graphplan uses mutex to improve efficiency, but it does not understand negation and suffers from a redundancy problem. Introducing a negative function not in IPP partially helps to solve this kind of problem. However, using a negative function comes with its own price in terms of time and space. Observing that a human utilizes opposite concept to negate a fact based on MDL principle, we hypothesize that using a positive atom rather than a negative function to represent a negative fact is a more efficient technique for building an intelligent agent. We show empirical results supporting our hypothesis in IPP domains. To autonomously learn the human-like concept, we generate a cycle composed of opposite operators from a domain theory and extract opposite literals through experimenting with the operators.

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Fuzzy Approach of Learning Evaluation Model in Intelligent E-Learning Systems (지능형 가상 학습 시스템에서 학습 평가 모델의 퍼지적 접근)

  • Weon, Sung Hyun
    • The Journal of Korean Association of Computer Education
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    • v.8 no.1
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    • pp.55-63
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    • 2005
  • Recently, web-based E-learning systems have entered the spotlight by providing new learning environments that break down spatial and temporal limitations. The key to building the web-based E-learning system is in determining how to effectively use the system and to evaluate the degree of learning achieved by the students that use it. In traditional off-line learning systems, we can evaluate students by counting how many questions, designed to evaluate their learning achievement, he or she answers correctly within a predetermined time limit. But this method would make individualized learning, a strong point of E-learning systems, impossible because these systems provide same learning strategy to all students even though they achieve a different level of learning. Therefore, in this paper, I will find any relationships between given test answers using fuzzy implication theory, I call these fuzzy correlations, and then generate evaluation results that are reflected in those relationships. I will compare the differences between this evaluation method and a traditional evaluation method where a student takes a test to evaluate his or her learning achievement after some learning period. Finally, I will discuss how we can use these results in individualized learning.

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