• 한국조경학회지
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• 제20권4호
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• pp.93-101
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• 1993

The purpose of this study is to analyze th especificity of landscape construction progress in order to develop the model of landscape construction schedule management. Nine case study area in housing complex was selected and the graphic curve of the accumulative payment by landscape construction schedule was analyzed. And the results are as follows: The graphic curve of common construction progress is S-curve but that of landscape construction progress is parabolic-curve, because landscape construction concentrally progress in last period of construction schedule. And particularly parabolic-curve seems to rise up suddenly in the last period when landscape construction amount is small.

• International journal of advanced smart convergence
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• 제12권2호
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• pp.187-192
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• 2023

Currently, our society is showing many changes due to the influence of information and communication technology (ICT). At the center of these information and communication technologies are software, intelligence, and sensing technologies. The software-related industry is steadily developing due to various software development policies implemented by the government and related organizations. Software development is desirable, but on the other hand, some negative aspects are also appearing. In this study, we proposed an objective way to infer the progress of software development for reasonable resolution of cases when a dispute related to the progress of development occurred during the software development process. The proposed solution was based on the waterfall model. The outputs generated in each process of the waterfall model are contents excluded from subjectivity. Therefore, it can be used as an objective method for calculating software development progress.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.317-320
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• 2015

Documenting work-in-progress on construction sites using images captured with smartphones, point-and-shoot cameras, and Unmanned Aerial Vehicles (UAVs) has gained significant popularity among practitioners. The spatial and temporal density of these large-scale site image collections and the availability of 4D Building Information Models (BIM) provide a unique opportunity to develop BIM-driven visual analytics that can quickly and easily detect and visualize construction progress deviations. Building on these emerging sources of information this paper presents a pipeline for model-driven visual analytics of construction progress. It particularly focuses on the following key steps: 1) capturing, transferring, and storing images; 2) BIM-driven analytics to identify performance deviations, and 3) visualizations that enable root-cause assessments on performance deviations. The information requirements, and the challenges and opportunities for improvements in data collection, plan preparations, progress deviation analysis particularly under limited visibility, and transforming identified deviations into performance metrics to enable root-cause assessments are discussed using several real world case studies.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.181-187
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• 2013

The construction market condition is getting worse because of global constructions slow down, low profit, market contraction and so on. For these reason, most construction companies depend on public construction projects which possible to protect construction fee, known as progress payment, by laws. Despite this law, problems of progress payment are constantly occurring and it has been main factors that hinder the construction cost's cash-flow in construction project. To solve this problem, many researchers suggested various solutions but most of solutions were focused on specific target as owner, general contractor, and subcontractor. So, most of solutions were insufficient consider about interaction between contractors. Because of these reasons, it was hard to reflected policy. This research aimed to use system dynamics to develop the model for the application and payment based on the regulations and papers. Also, performed a developed model's verification based on progress payment regulation's basic objectives.

• 한국건설관리학회논문집
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• 제12권5호
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• pp.23-34
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• 2011

건설현장에서 정확한 진도를 관리하기 위해서는 비용정보와 일정정보를 결합한 통합정보가 요구되며 프로젝트의 성과측정을 위한 기초자료가 된다. 그러나 국내 건설공사는 비용과 일정정보를 각각 관리함으로써 객관적인 성과측정이 어려우며 내역서상의 물량을 액티비티에 분개하는 작업을 통해 생산성을 감소시킨다. 한편, BIM을 활용한 연구가 진행되면서 BIM을 통해 보다 효율적으로 진도관리하는 연구가 필요한 실정이며 현장에서는 일일 작업관리에 대한 필요성이 요구되고 있다. 이러한 건설 산업의 흐름에 따라 본 논문에서는 BIM 모델의 위치정보와 BIM기반의 견적데이터를 활용하여 3가지 타입의 진도관리단위를 생성하고 이를 통해 일일 진도율 및 일일 기성액을 파악하는 정보모텔을 제시하고자 한다.

• 조명전기설비학회논문지
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• 제17권2호
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• pp.81-87
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• 2003

본 논문은 공기중 침대 평판 전극계를 이용하여 방전진전 과정과 부분방전을 모의하였다. 이 때 방전진전과정에 따른 방사전자파를 biconical 안테나와 스펙트럼 분석기를 이용하여 주파수 스펙트럼 분포를 분석 연구하였다. 본 연구의 결과로부터 공기중 교류방전 진전에 따른 방사전자파의 측정과 분석에 의한 절연진단을 위한 방법을 제시하였고 또한 방전진전과정과 방사전자파를 상호관계를 고려하면 부분방전의 검출과 방전진전과정의 평가가 가능함을 확인하였다

• 산업공학
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• 제25권2호
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• pp.276-282
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• 2012

Earned value management(EVM) based progress management was designed to systematically manage large or huge projects with budget based criteria. For this reason, existed methods of EVM based progress management have a practical difficulty to apply to small and medium enterprises(SMEs) not possessing enough human resource, time, and cost. In other words, SMEs have performed simultaneously many small-sized projects emphasizing more project delivery than project budget. This study focuses on the area of project management applying to many small-sized projects simultaneously conducted by SMEs. Thus, the method proposed in this study is to manage only the progress of projects after removing cost factor in order to reduce man powers required for allocating the budget of projects to their all activities in detail in the stage of project planning. This study reveals that SMEs are able to manage progress of many projects easily and intuitively using the proposed method.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2009년도 추계 학술논문 발표대회
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• pp.213-217
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• 2009

Weather factors affect cost increases and progress management under construction. Because progress schedule is delayed by weather factors, the construction costs are increased. It is an essential element to control the progress schedule applying weather factors to the progress management. This study applies monthly working-day percentages which is estimated by databases of past weather information to RTPM system. Through do progress management in construction projects exactly, will try to minimize risk of process control that do that is to weather factors. Also, will compare calamity in safety supervision side that do that is to weather factors beforehand. Based on the factors and the expected impact of factors together with the weather data during the last 50 years in Seoul region gathered from Korea. Through it, calculated number of month working day of RCA's structural steel work. Studied way that apply to RTPM system.

• 한국식물병리학회지
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• 제14권2호
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• pp.150-156
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• 1998

To develop a model for prediction of turnip mosaic virus(TuMV) disease progress of Chinese cabbage based on weather information and number of TuMV vector aphids trapped in Taegwallyeong alpine area, data were statistically processed together. As the variables influenced on TuMV disease progress, cumulative portion(CPT) above 13$^{\circ}C$ in daily average temperature was the most significant, and solar radiation, duration of sunshine, vector aphids and cumulative temperature above $0^{\circ}C$ were significant. When logistic model and Gompertz model were compared by detemining goodness of fit for TuMV disease progress using CPT as independent variable, regression coefficient was higher in the logistic model than in the Gompertz model. Epidemic parameters, apparent infection rate and initial value of logistic model, were estimated by examining the relationship between disease proportion linearized by logit transformation equation, In(Y/Yf-Y) and CPT. Models able to describe the progression of TuMV disease were formulated in Y=100/(1+128.4 exp(-0.013.CPT.(-1(1/(1+66.7.exp(-0.11.day). Calculated disease progress from the model was in good agreement with investigated actual disease progress showing high significance of the coefficient of determination with 0.710.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.920-927
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• 2009

Many schedule delays and cost overruns in interior construction are caused by a lack of understanding in detailed and complicated interior works. To minimize these potential impacts in interior construction, a systematic approach for project managers to detect discrepancies at early stages and take corrective action through use of visualized data is required. This systematic implementation is still challenging: monitoring is time-consuming due to the significant amount of as-built data that needs to be collected and evaluated; and current interior construction progress reports have visual limitations in providing spatial context and in representing the complexities of interior components. To overcome these issues, this research focuses on visualization and computer vision techniques representing interior construction progress with photographs. The as-planned 3D models and as-built photographs are visualized in a 3D walk-through model. Within such an environment, the as-built interior construction elements are detected through computer vision techniques to automatically extract the progress data linked with Building Information Modeling (BIM). This allows a comparison between the as-planned model and as-built elements to be used for the representation of interior construction progress by superimposing over a 3D environment. This paper presents the process of representing and detecting interior construction components and the results for an ongoing construction project. This paper discusses implementation and future potential enhancement of these techniques in construction.