• Title/Summary/Keyword: site decision

Search Result 573, Processing Time 0.021 seconds

Development of Apartment Notice and Decision-making Service using Smart phone (스마트폰을 통한 아파트 공지 및 의사결정 서비스 개발)

  • Kim, Sungrim;Park, Hyeongrok;Chun, Soojin
    • Journal of Korea Society of Digital Industry and Information Management
    • /
    • v.11 no.1
    • /
    • pp.37-45
    • /
    • 2015
  • As of June 2014, the rate of mobile internet users aged 6 and over is estimated at 98.3% (up by 2.8%p from the previous year). The vast majority of the teens (99.7%), the 20s (99.8%), the 30s (99.8%), and the 40s (98.1%) answer they use the smart phone. The existing notice methods have utilized noticeboard in the apartment. It is difficult to support real-time notice. The App has a merit to be accessed in anywhere, so that it is quite suitable for services requiring real-time support. This paper describes a development of apartmenrt notice and decision-making service using smart phone. We study previous researches about apartmenrt notice Apps. Then, we described the notice flow diagram and decision-making flow diagram. Apt admin sends the important notice message to residents using apt notice app in real-time. Apt admin writes the decision item in the admin web site. It pushes decision item to residents using apt notice app in real-time. The residents vote and send it to Apt admin. Apt admin counts the votes and send the collect the vote result to to residents.

Development and Enhancement of Conceptual Site Model for Subsurface Environment Management (지중환경 관리를 위한 부지개념모델 구축 및 개선)

  • Bae, Min Seo;Kim, Juhee;Lee, Soonjae;Kwon, Man Jae;Jo, Ho Young
    • Journal of Soil and Groundwater Environment
    • /
    • v.27 no.spc
    • /
    • pp.1-18
    • /
    • 2022
  • A conceptual site model is used to support decision-making of response strategy development, determination, and implementation within a risk-based contaminated site management system. It aims to provide base information of the relevant site characteristics and surface/subsurface conditions in order to understand the contaminants of concern and the associated risk they pose to the receptors. This study delineated the technical details of conceptual site model development, and discussed the possibility of applying it in domestic subsurface contamination management. Conceptual site models can be developed in various formats such as tables, diagrams, flowcharts, and figures. Contaminated sites are managed for a long period of time following the steps of investigation, remediation design, remediation, verification, and post-remedation management. The conceptual site model can be enhanced in each stage of the contaminated site management based on the continuously updated information on the site's subsurface environment. In the process of enhancement for conceptual site model, precision is gradually improved, and it can evolve from a conceptual and qualitative form to a more quantitatvive and three-dimensional model. In soil pollution management, it is desirable to incorporate the conceptual site model into the soil scrutiny system to better assess the current status of the contaminated site and support follow-up investigation and management.

A Study on the Influence of Consumers Functional Recognition on Their Switching Behaviors, using Food Providers' Web Sites (외식기업 온라인 웹사이트를 이용하는 소비자들의 기능별 지각 수준이 전환 행동에 미치는 영향)

  • Choi, Eun-Joo
    • Culinary science and hospitality research
    • /
    • v.16 no.2
    • /
    • pp.31-48
    • /
    • 2010
  • The purpose of this study was to examine the influence of food service web site users' functional recognition extent on switching behaviors. For this, a survey of web site users was carried out. As for analytic methods, frequency analysis was used to examine respondents' demographic features. In addition, simple regression analysis and multiple regression analysis were carried out used to look into the influence of functional recognition of food providers' web sites on switching behaviors. Study findings are as follows: all the functional variables such as entertainment, advertisement & public relations, communication and purchase decision-making function have significant influence on users' switching behaviors. When users' recognition extent of food providers' online web sites is high, their switching behavior is also high. In particular, the following clause have the greatest influence upon users' switching behaviors pattern. In the function of entertainment, (1) it is easy to search on web site; in the advertisement function, (2) the image of restaurant can easily be recognize; In the communication function, (3) the image of new products can be seen with ease; and in the purchase decision-making function, (4) web sites are easily accessible.

  • PDF

Modelling En-route Diversion Behavior under On-site Traffic Information (관측 교통정보를 이용한 통행중 경로전환행태 모형)

  • Kim, Hye-Ran;Chon, Kyung-Soo;Park, Chang-Ho
    • Journal of Korean Society of Transportation
    • /
    • v.22 no.3 s.74
    • /
    • pp.137-144
    • /
    • 2004
  • The real-time traffic information is considered to be the system to alleviate traffic congestion. An effective traffic information will help drivers make efficient travel decision, and network performance will be improved. To make efficient strategy of providing information, the analyst should quantify reduced congestion by the media traffic informations. Many other route diversion models considered only media-informations as information sources and ignored the impact of on-site informations such as visible delays and average speeds, which affect drivers' route diversion decision in practice. In those models, the effect of on-site informations could be treated to be the effect of media informations, and the effects of media informations would be over-estimated. The proposed model including the impact of on-site information can estimate the effect of media-informations. The results are expected to be applied to the analysis of traffic management policy such as ITS.

How different is a web site that many people visit?-focused on the Plastic Surgery Websites in Korea (많은 사람이 방문하는 웹 사이트는 무엇이 다를까? - 2011년 성형외과 웹 사이트의 경우 -)

  • Cho, Yeong-Bin;Kim, Chae-Bogk
    • Management & Information Systems Review
    • /
    • v.32 no.1
    • /
    • pp.43-62
    • /
    • 2013
  • In order to know the characteristics of high visit web sites that many people have visited, 37 high visit websites of plastic surgery were compared to 69 benchmark sites of same industry. We selected 36 web site attributes that can be measured objectively from existing studies and composed the data set of 36 attributes multiplied by 106 websites. For analysis, Multiple Discriminant Analysis(MDA) and Decision Tree Technique are conducted for searching what attributes divide two group definitely. The result of this study shows the dividing attributes fall into 3 categories like 'Community', 'Mobile', 'Up to date'. Thus, we are able to conclude that high visit plastic surgery web sites are community centric site but not contents centric, response a change to mobile environment rapidly and are maintained with tide up to date. The methodology employed in this study provides an efficient way of improving satisfaction of visitors of plastic surgery website.

  • PDF

An Analysis of BIM uptake in Each Phase of Modular Construction Projects in Korea (국내 모듈러 건축 프로젝트의 단계별 BIM 활용업무 분석)

  • Lee, Ung-Kyun;Lee, Myungdo
    • Journal of the Regional Association of Architectural Institute of Korea
    • /
    • v.21 no.5
    • /
    • pp.133-140
    • /
    • 2019
  • Building Information Modeling (BIM) and modular construction are regarded as important technologies that could contribute to overcoming the crisis faced by the construction industry. However, BIM uptake in current modular construction projects is limited. Moreover, there are no specific guidelines to support decision-making regarding the application of BIM in modular construction projects. Therefore, this study aims to analyze the possibility for BIM uptake in each phase of modular construction projects in Korea. Initially, the literature detailing on BIM uptake cases in modular construction projects was reviewed. The detailed work and activities for each phase of a modular project were analyzed via a questionnaire targeting domestic modular experts, to derive items requiring improvement due to errors or changes occurring in the actual project. Ten realistic BIM uptake items were derived, reflecting the results of literature review and expert interviews. Then, the BIM uptake items in each phase were analyzed in terms of necessity and efficiency via a second questionnaire using five-point Likert scales. Finally, the BIM utilization index (BIM UI) of the BIM uptake items was suggested as a priority measure. As a result, the BIM UI of "3D coordination" (U2), "design authoring and reviews for off-site fabrication" (U3), and "detailed 3D modeling for off-site fabrication" (U4), were assigned the highest priority. The results of this study can be used as guidelines to support decision-making regarding the application of BIM in modular construction projects.

Introduction to the Strategic Sampling Approaches to Construct Optimal Conceptual Model of a Contaminated Site (오염부지 최적 개념모델 수립을 위한 전략적 샘플링 기법 소개)

  • Park, Hyun Ji;Kim, Han-Suk;Yun, Seong-Taek;Jo, Ho Young;Kwon, Man Jae
    • Journal of Soil and Groundwater Environment
    • /
    • v.25 no.2_spc
    • /
    • pp.28-54
    • /
    • 2020
  • Even though a systematic sampling approach is very crucial in both the general and detailed investigation phases to produce the best conceptual site model for contaminated sites, the concept is not yet established in South Korea. The U.S. Environmental Protection Agency (EPA) issued the 'Strategic Sampling Approaches Technical guide' in 2018 to help environmental professionals choose which sampling approaches may be needed and most effective for given site conditions. The EPA guide broadly defines strategic sampling as the application of focused data collection across targeted areas of the conceptual site model (CSM) to provide the appropriate amount and type of information needed for decision-making. These strategic sampling approaches can prevent the essential data from missing, minimize the uncertainty of projects and secure the data which are necessary for the important site-decisions. Furthermore, these provide collaborative data sets through the life cycle phases of projects, which can generate more positive proofs on the site-decisions. The strategic sampling approaches can be divided by site conditions. This technical guide categorized it into eight conditions; High-resolution site characterization in unconsolidated environments, High-resolution site characterization in fractured sedimentary rock environments, Incremental sampling, Contaminant source definition, Passive groundwater sampling, Passive sampling for surface water and sediment, Groundwater to surface water interaction, and Vapor intrusion. This commentary paper introduces specific sampling methods based on site conditions when the strategic sampling approaches are applied.

The Proposal of Development Types and Housing Forms for Urban Residential Area, Considering Urban Site Conditions - A Case Study of Gwangju City - (도시 주거지의 부지여건별 개발방법과 주택형식 제안 - 광주광역시 사례 연구 -)

  • Yoon, Yong-Suk;Yang, Woo-Hyun
    • Journal of the Korean housing association
    • /
    • v.21 no.6
    • /
    • pp.143-154
    • /
    • 2010
  • The purpose of this study is to propose a new development method for urban residential area, considering the urban site and development conditions rather than just meeting the development limit and regulations. Gwangju Metropolitan city is investigated as a case city and the new method verifies a decision process of pertinent development types and housing forms in urban blocks. The consequences of this study are summarized as follows. The process of a new development method consists of four steps; First, current conditions of the residential area of Gwangju are analysed in order to find out the site characteristics and housing development situations. And the theoretical research is made to set up the development goals and objectives, regarding current trends and future paradigms of residential development. Next, the suitable development sites are selected, and their site characteristics and relevant development types for the future are compared and matched with a close analysis. Finally some pertinent housing forms for each development site are suggested, which fit well in terms of urban context and are appropriate for building up sustainable city in the future.

Machine learning application to seismic site classification prediction model using Horizontal-to-Vertical Spectral Ratio (HVSR) of strong-ground motions

  • Francis G. Phi;Bumsu Cho;Jungeun Kim;Hyungik Cho;Yun Wook Choo;Dookie Kim;Inhi Kim
    • Geomechanics and Engineering
    • /
    • v.37 no.6
    • /
    • pp.539-554
    • /
    • 2024
  • This study explores development of prediction model for seismic site classification through the integration of machine learning techniques with horizontal-to-vertical spectral ratio (HVSR) methodologies. To improve model accuracy, the research employs outlier detection methods and, synthetic minority over-sampling technique (SMOTE) for data balance, and evaluates using seven machine learning models using seismic data from KiK-net. Notably, light gradient boosting method (LGBM), gradient boosting, and decision tree models exhibit improved performance when coupled with SMOTE, while Multiple linear regression (MLR) and Support vector machine (SVM) models show reduced efficacy. Outlier detection techniques significantly enhance accuracy, particularly for LGBM, gradient boosting, and voting boosting. The ensemble of LGBM with the isolation forest and SMOTE achieves the highest accuracy of 0.91, with LGBM and local outlier factor yielding the highest F1-score of 0.79. Consistently outperforming other models, LGBM proves most efficient for seismic site classification when supported by appropriate preprocessing procedures. These findings show the significance of outlier detection and data balancing for precise seismic soil classification prediction, offering insights and highlighting the potential of machine learning in optimizing site classification accuracy.

Decision Making Model for Application of Manufacturing Production System in Construction Project (건설 구조물의 공장생산방식 적용 의사결정모델에 관한 연구)

  • Jin Eui-jae;Park Sang-hyuk;Chae Myung-jin;Han Seung-hun
    • Proceedings of the Korean Institute Of Construction Engineering and Management
    • /
    • 2004.11a
    • /
    • pp.515-520
    • /
    • 2004
  • Manufacturing Production System (MPS) has been widely accepted in construction area for the productivity improvement. However, the MPS does not always provide cost and time saving. It often caused more delays and increased project cost. Therefore the use of the MPS technique, systematic decision-making process is needed by reviewing various project parameters such as cost and time. This study includes extensive literature reviews and case studies on MPS. As a result, a decision-making model is proposed. The decision-making flowchart and decision-making model are developed in three steps: (1) identification and categorization of decision-making factors; (2) calculations of benefits, cost, and duration in accordance with the location and the production capacity of the factory; (3) comparisons of MPS and on-site assembly by varying the locations and sizes of the factory

  • PDF