• Title/Summary/Keyword: 예상 정확도

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3D Architecture Modeling and Quantity Estimation using SketchUp (스케치업을 활용한 3D 건축모델링 및 물량산출)

  • Kim, Min Gyu;Um, Dae Yong
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.6
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    • pp.701-708
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    • 2017
  • The construction cost is estimated based on the drawings at the design stage and constructor will find efficient construction methods for budgeting and budgeting appropriate to the budget. Accurate quantity estimation and budgeting are critical to determining whether the project is profitable or not. However, since this process is mostly performed depending on manpower or 2D drawings, errors are likely to occur and The BIM(Build Information Modeling) program, which can be automated, is very expensive and difficult to apply in the field. In this study, 3D architectural modeling was performed using SketchUp which is a 3D modeling software and suggest a methodology for Quantity Estimation. As a result, 3D modeling was performed effectively using 2D drawings of buildings. Based on the modeling results, it was possible to calculate the difference of the quantity estimation by 2D drawing and 3D modeling. The research suggests that the 3D modeling using the SketchUp and the calculation of the quantity can prevent the error of the conventional 2D calculation method. If the applicability of the research method is verified through continuous research, it will contribute to increase the efficiency of architectural modeling and quantity Estimation work.

Predicting Further Markets of Innovative Products By Analyzing Successful Cases of Innovative Products (혁신제품의 성공사례 분석을 통한 향후 혁신제품의 판로 예측)

  • Kim, Yi Yeon;Boo, in gue
    • Korea Science and Art Forum
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    • v.25
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    • pp.71-80
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    • 2016
  • The meaning of innovative products pursued by pluralized societies is transforming. In the past, the markets were opened up after the products were released through various development strategies based on the needs of development. Recently, however, even the launching process of innovative products is differently operated and strategies with directions completely different from the past are used. In this regard, the paper aims to predict successful markets of innovative products in the future by analyzing the successful strategic cases of innovative products from both the past and the present. The following are the methodology and results of this study. - Conduct a case study and an analysis on which strategies were implemented after the release of successful innovative products in the past. - Conduct a case study and an analysis on the markets and launching trends of innovative products that were successful fairly recently. By reviewing the operation system of innovative products for each time period, it is assumed that startup companies releasing innovative products in the future will engage in the mass production of products through a pre-approval and post-production system, via overseas crowd funding. Moreover, we can expect that systems for partnerships between startups and conglomerates will be prepared in Korea within the near future. If we accurately perceive the operation trends related to the release of innovative products that come into existence by experiencing extreme changes, shortcuts to success will be available for startup companies preparing for such future.

Construction Technology Research and Development Planning - In the Case of Real-time Construction Project Monitoring System Development - (건설 기술 연구 개발을 위한 기술 기획 - 적시 시공을 위한 시공 현장 모니터링 기술 사례를 기반으로 -)

  • Kim, Changyoon;Kim, Hyoungkwan;Kim, Changwan;Kim, Moon Kyum
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.6D
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    • pp.849-857
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    • 2008
  • Technology roadmapping is one of the widely used technology planning methodologies. Using a technology roadmap, the researchers can increase the possibility of the project success by systematic management of research contents, budgets, and commercialization strategies. Currently, Ministry of Land, Transport and Maritime Affairs has a plan to increase the research fund to improve the construction industry. As a result, the number of long term research projects with more than five years of research period, is increasing. This entails the need for a methodology for the systematic planning and management of research. However, the construction industry has the characteristics that the research results should ultimately be implemented in an outdoor environment. Through processes of diverse literature reviews, questionnaire-based survey, and pilot research, this paper presents a systematic procedure for the development of construction technology roadmaps, which can consider the unique nature of the construction industry. Based on the procedure, a technology roadmap for intelligent construction monitoring is also developed.

A Study on Correction of True Solar Time in Eastern and Western Countries (동서양 각국의 진태양시 보정에 관한 연구)

  • Won-Ho Choi
    • Industry Promotion Research
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    • v.8 no.3
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    • pp.137-152
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    • 2023
  • As the world progresses towards a global society as time goes by, it is a natural reality that interpreting the fortunes of people born in foreign countries will inevitably increase in the future. If the time of birth is different, a big problem arises in the theory of MyungLiollgy. Therefore, this researcher decides whether to use the local standard time of the country of birth or convert it to the Korean time zone when a foreign-born person writes four weeks, because the position of the sun determines the time and date, so the local standard time It was concluded that it was appropriate to use it, and to support the discussion on the correction of true solar time in Eastern and Western countries, we carefully selected major countries and major cities where the time difference between the currently used national standard time and the true solar time according to the actual longitude line was expected, and the results were presented. was calculated and derived. As a result of the study, it was confirmed that the time difference between the national standard time and the true solar time is much greater than the general idea. On the other hand, through the case of actual foreign-born people, it was possible to find out the great influence of summer time on the composition of the sandbar, in addition to the influence of the exact time difference on the birth date and cutting time. Through the results of this study, it is thought that we have laid the systematic foundation of the myo-logical theory on the correction of true solar time in Eastern and Western countries for the simplicity of the four weeks of foreign-born people, and this will serve as an opportunity to reduce confusion about the method of simplifying the four weeks of foreign-born people. It is assumed that it will be possible.

Comparisons on the Interface Shear Strength of Geosynthetics Evaluated by Using Various Kinds of Testing Methods (다양한 시험법에 의해 산정된 토목섬유 사이의 접촉면 전단강도 비교)

  • Seo, Min-Woo;Oh, Myoung-Hak;Yoon, Hyun-Suk;Park, Jun-Boum
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.26 no.2C
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    • pp.73-80
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    • 2006
  • The shear behavior of four different interfaces consisting of four types of geosynthetics was investigated, and both static and dynamic test for the geosynthetic interfaces were conducted. The monotonic shear experiments were performed by using an inclined board apparatus and large direct shear device. The interface shear strength obtained from the inclined board test was compared with calculated values from large direct shear tests. The comparison results indicated that direct shear tests show high possibility to over-predict the shear strength in the low normal stress range where direct shear tests are not performed. Curved failure envelopes were also obtained for interface cases where two static shear tests were conducted. By comparing the friction angles measured from three tests, i.e. direct shear, inclined board, and shaking table test, it was found that the friction angle might be different depending on the test method and normal stresses applied in the research. Therefore, it was concluded that the testing method should be determined carefully by considering the type of loads and the normal stress expected in the field with using the geosynthetic materials installed in the site.

Performance Evaluation of Object Detection Deep Learning Model for Paralichthys olivaceus Disease Symptoms Classification (넙치 질병 증상 분류를 위한 객체 탐지 딥러닝 모델 성능 평가)

  • Kyung won Cho;Ran Baik;Jong Ho Jeong;Chan Jin Kim;Han Suk Choi;Seok Won Jung;Hvun Seung Son
    • Smart Media Journal
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    • v.12 no.10
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    • pp.71-84
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    • 2023
  • Paralichthys olivaceus accounts for a large proportion, accounting for more than half of Korea's aquaculture industry. However, about 25-30% of the total breeding volume throughout the year occurs due to diseases, which has a very bad impact on the economic feasibility of fish farms. For the economic growth of Paralichthys olivaceus farms, it is necessary to quickly and accurately diagnose disease symptoms by automating the diagnosis of Paralichthys olivaceus diseases. In this study, we create training data using innovative data collection methods, refining data algorithms, and techniques for partitioning dataset, and compare the Paralichthys olivaceus disease symptom detection performance of four object detection deep learning models(such as YOLOv8, Swin, Vitdet, MvitV2). The experimental findings indicate that the YOLOv8 model demonstrates superiority in terms of average detection rate (mAP) and Estimated Time of Arrival (ETA). If the performance of the AI model proposed in this study is verified, Paralichthys olivaceus farms can diagnose disease symptoms in real time, and it is expected that the productivity of the farm will be greatly improved by rapid preventive measures according to the diagnosis results.

A Study on Constructing a RMF Optimized for Korean National Defense for Weapon System Development (무기체계 개발을 위한 한국형 국방 RMF 구축 방안 연구)

  • Jung keun Ahn;Kwangsoo Cho;Han-jin Jeong;Ji-hun Jeong;Seung-joo Kim
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.33 no.5
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    • pp.827-846
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    • 2023
  • Recently, various information technologies such as network communication and sensors have begun to be integrated into weapon systems that were previously operated in stand-alone. This helps the operators of the weapon system to make quick and accurate decisions, thereby allowing for effective operation of the weapon system. However, as the involvement of the cyber domain in weapon systems increases, it is expected that the potential for damage from cyber attacks will also increase. To develop a secure weapon system, it is necessary to implement built-in security, which helps considering security from the requirement stage of the software development process. The U.S. Department of Defense is implementing the Risk Management Framework Assessment and Authorization (RMF A&A) process, along with the introduction of the concept of cybersecurity, for the evaluation and acquisition of weapon systems. Similarly, South Korea is also continuously making efforts to implement the Korea Risk Management Framework (K-RMF). However, so far, there are no cases where K-RMF has been applied from the development stage, and most of the data and documents related to the U.S. RMF A&A are not disclosed for confidentiality reasons. In this study, we propose the method for inferring the composition of the K-RMF based on systematic threat analysis method and the publicly released documents and data related to RMF. Furthermore, we demonstrate the effectiveness of our inferring method by applying it to the naval battleship system.

Thermogravimetric Analysis of Black Mass Components from Li-ion Battery (폐이차전지 블랙 매스(Black Mass) 구성 성분의 열중량 특성 분석)

  • Kwanho Kim;Kwangsuk You;Minkyu Kim;Hoon Lee
    • Resources Recycling
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    • v.32 no.6
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    • pp.25-33
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    • 2023
  • With the growth of the battery industry, a rapid increase in the production and usage of lithium-ion batteries is expected, and in line with this, much interest and effort is being paid to recycle waste batteries, including production scrap. Although much effort has been made to recycle cathode material, much attention has begun to recycle anode material to secure the supply chain of critical minerals and improve recycling rates. The proximate analysis that measures the content of coal can be used to analyze graphite in anode material, but it cannot accurately analyze due to the interaction between the components of the black mass. Therefore, in this study, thermogravimetric analysis of each component of black mass was measured as the temperature increased up to 950℃ in an oxygen atmosphere. As a result, in the case of cathode material, no change in mass was measured other than a mass reduction of about 5% due to oxidation of the binder and conductive material. In the case of anode material, except for a mass reduction of about 2% due to the binder, all mass reduction were due to the graphite(fixed carbon). In addition, metal conductors (Al, Cu) were oxidized and their mass increased as the temperature increased. Thermal analysis results of mixed samples of cathode/anode show similar results to the predictive values that can be calculated through each cathode and anode analysis results.

Detection Fastener Defect using Semi Supervised Learning and Transfer Learning (준지도 학습과 전이 학습을 이용한 선로 체결 장치 결함 검출)

  • Sangmin Lee;Seokmin Han
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.91-98
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    • 2023
  • Recently, according to development of artificial intelligence, a wide range of industry being automatic and optimized. Also we can find out some research of using supervised learning for deteceting defect of railway in domestic rail industry. However, there are structures other than rails on the track, and the fastener is a device that binds the rail to other structures, and periodic inspections are required to prevent safety accidents. In this paper, we present a method of reducing cost for labeling using semi-supervised and transfer model trained on rail fastener data. We use Resnet50 as the backbone network pretrained on ImageNet. At first we randomly take training data from unlabeled data and then labeled that data to train model. After predict unlabeled data by trained model, we adopted a method of adding the data with the highest probability for each class to the training data by a predetermined size. Futhermore, we also conducted some experiments to investigate the influence of the number of initially labeled data. As a result of the experiment, model reaches 92% accuracy which has a performance difference of around 5% compared to supervised learning. This is expected to improve the performance of the classifier by using relatively few labels without additional labeling processes through the proposed method.

Analysis of the Impact of Surface Reflectance Error Retrieved from 6SV for KOMPSAT-3A according to MODIS AOD Expected Error (MODIS AOD 기대 오차에 따른 6SV 기반 KOMPSAT-3A 채널별 지표반사도 오차 영향 분석)

  • Daeseong Jung;Suyoung Sim;Jongho Woo;Nayeon Kim;Sungwoo Park;Honghee Kim;Kyung-Soo Han
    • Korean Journal of Remote Sensing
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    • v.39 no.6_1
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    • pp.1517-1522
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    • 2023
  • This study evaluates the impact of Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) expected error (EE) on the accuracy of surface reflectance (SR) derived from the KOMPSAT-3A satellite, utilizing the Second Simulation of the Satellite Signal in the Solar Spectrum Vector radiative transfer model. By considering a range of ground-based AOD and the resultant MODIS AOD EE, the research identifies significant influences on SR accuracy, particularly under high solar zenith angles(SZA) and shorter wavelengths. The study's simulations reveal that SR errors increase with shorter wavelengths and higher SZAs, highlighting the necessity for further research to improve atmospheric correction algorithms by incorporating wavelength and SZA considerations. Additionally, the study provides foundational data for better understanding the use of AOD data from other satellites in atmospheric correction processes and contributes to advancing atmospheric correction technologies.