• Title/Summary/Keyword: effective component

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The Application of Fuzzy Logic to Assess the Performance of Participants and Components of Building Information Modeling

  • Wang, Bohan;Yang, Jin;Tan, Adrian;Tan, Fabian Hadipriono;Parke, Michael
    • Journal of Construction Engineering and Project Management
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    • v.8 no.4
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    • pp.1-24
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    • 2018
  • In the last decade, the use of Building Information Modeling (BIM) as a new technology has been applied with traditional Computer-aided design implementations in an increasing number of architecture, engineering, and construction projects and applications. Its employment alongside construction management, can be a valuable tool in helping move these activities and projects forward in a more efficient and time-effective manner. The traditional stakeholders, i.e., Owner, A/E and the Contractor are involved in this BIM system that is used in almost every activity of construction projects, such as design, cost estimate and scheduling. This article extracts major features of the application of BIM from perspective of participating BIM components, along with the different phrases, and applies to them a logistic analysis using a fuzzy performance tree, quantifying these phrases to judge the effectiveness of the BIM techniques employed. That is to say, these fuzzy performance trees with fuzzy logic concepts can properly translate the linguistic rating into numeric expressions, and are thus employed in evaluating the influence of BIM applications as a mathematical process. The rotational fuzzy models are used to represent the membership functions of the performance values and their corresponding weights. Illustrations of the use of this fuzzy BIM performance tree are presented in the study for the uninitiated users. The results of these processes are an evaluation of BIM project performance as highly positive. The quantification of the performance ratings for the individual factors is a significant contributor to this assessment, capable of parsing vernacular language into numerical data for a more accurate and precise use in performance analysis. It is hoped that fuzzy performance trees and fuzzy set analysis can be used as a tool for the quality and risk analysis for other construction techniques in the future. Baldwin's rotational models are used to represent the membership functions of the fuzzy sets. Three scenarios are presented using fuzzy MEAN, AND and OR gates from the lowest to intermediate levels of the tree, and fuzzy SUM gate to relate the intermediate level to the top component of the tree, i.e., BIM application final performance. The use of fuzzy MEAN for lower levels and fuzzy SUM gates to reach the top level suggests the most realistic and accurate results. The methodology (fuzzy performance tree) described in this paper is appropriate to implement in today's construction industry when limited objective data is presented and it is heavily relied on experts' subjective judgment.

Utility of a modified components separation for abdominal wall reconstruction in the liver and kidney transplant population

  • Black, Cara K;Zolper, Elizabeth G;Walters, Elliot T;Wang, Jessica;Martinez, Jesus;Tran, Andrew;Naz, Iram;Kotha, Vikas;Kim, Paul J;Sher, Sarah R;Evans, Karen K
    • Archives of Plastic Surgery
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    • v.46 no.5
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    • pp.462-469
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    • 2019
  • Background Incisional hernia is a common complication following visceral organ transplantation. Transplant patients are at increased risk of primary and recurrent hernias due to chronic immune suppression and large incisions. We conducted a retrospective review of patients with a history of liver or kidney transplantation who underwent hernia repair to analyze outcomes and hernia recurrence. Methods This is a single center, retrospective review of 19 patients who received kidney and/or liver transplantation prior to presenting with an incisional hernia from 2011 to 2017. All hernias were repaired with open component separation technique (CST) with biologic mesh underlay. Results The mean age of patients was $61.0{\pm}8.3years\;old$, with a mean body mass index of $28.4{\pm}4.8kg/m^2$, 15 males (78.9%), and four females (21.1%). There were seven kidney, 11 liver, and one combined liver and kidney transplant patients. The most common comorbidities were hypertension (16 patients, 84.2%), diabetes (9 patients, 47.4%), and tobacco use (8 patients, 42.1%). Complications occurred in six patients (31.6%) including hematoma (1/19), abscess (1/19), seroma (2/19), and hernia recurrence (3/19) at mean follow-up of $28.7{\pm}22.8months$. With the exception of two patients with incomplete follow-up, all patients healed at a median time of 27 days. Conclusions This small, retrospective series of complex open CST in transplant patients shows acceptable rates of long-term hernia recurrence and healing. By using a multidisciplinary approach for abdominal wall reconstruction, we believe that modified open CST with biologic mesh is a safe and effective technique in the transplant population with complex abdominal hernias.

A Study on Open Source Transition Strategy of Record System (기록시스템의 오픈소스화 전략 연구)

  • An, Dae-jin;Yim, Jin-hee
    • The Korean Journal of Archival Studies
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    • no.52
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    • pp.119-170
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    • 2017
  • This study aims to analyze the environment for the open-source records system and to identify the risk and requirements for the success of the strategy in Korea. For this, Chapter 2 presented a review of the strategic benefits of open source to public organizations, developers, and users. It also discussed the process of cooperatively developing and releasing the source code and the technology infrastructure supporting open source. In Chapter 3, six representative open-source projects in the field of records management were selected, and case studies were conducted. To derive comprehensive implications, we have divided the main development body of open-source projects into international organizations, international cooperation systems, national archives, and software development companies. We also analyzed the background and purpose of each project, the agents of development and funding, the governance model, the development period and cost, the business model and software architecture, the community composition, and the licensing strategy. Through this, we have derived four critical success factors. In terms of technology, a component-based design was required; therefore, we proposed a microservice architecture and a model-view-controller design pattern. Next, it was necessary to reestablish system requirements of records center and archives. Moreover, we also proposed a dual licensing strategy to allow developers to easily participate in open-source projects. Lastly, we emphasized a strong governance structure and an effective cooperation framework to create a sustainable community. For a record system to be open-source successfully in an organization-centered market, the roles of software developers and end users should be exercised more in the community. To achieve this, it is important to build various collaborative tools and development infrastructure from a planning stage to a centralized one.

3D Porous Foam-based Triboelectric Nanogenerators for Energy Harvesting (3차원 기공구조를 이용한 정전기반 에너지 하베스팅 나노발전기 소자제조)

  • Jeon, Sangheon;Jeong, Jeonghwa;Hong, Suck Won
    • Journal of the Microelectronics and Packaging Society
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    • v.26 no.1
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    • pp.9-15
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    • 2019
  • Here, we present a facile route to fabricate a vertically stacked 3D porous structure-based triboelectric nanogenerator (TENG) that can be used to harvest energy from the friction in a repetitive contact-separation mode. The unit component of TENG consists of thin Al foil electrodes integrated with microstructured 3D foams such as Ni, Cu, and polyurethane (PU), which provide advantageous tribo-surfaces specifically to increase the friction area to the elastomeric counter contact surfaces (i.e., polydimethylsiloxane, PDMS). The periodic contact/separation-induced triboelectric power generation from a single unit of the 3D porous structure-based TENG was up to $0.74mW/m^2$ under a mild condition. To demonstrate the potential applications of our approach, we applied our TENGs to small-scale devices, operating 48 LEDs and capacitors. We envision that this energy harvesting technology can be expanded to the applications of sustainably operating portable electronic devices in a simple and cost-effective manner by effectively harvesting wasted energy resources from the environment.

CYBERCRIME AS A THREAT TO UKRAINE'S NATIONAL SECURITY

  • Varenia, Nataliia;Avdoshyn, Ihor;Strelbytska, Lilia;Strelbytskyy, Mykola;Palchyk, Maksym
    • International Journal of Computer Science & Network Security
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    • v.21 no.5
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    • pp.73-83
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    • 2021
  • The information space, the main components of which are information resources, means of information interaction, and information infrastructure, is a sphere of modern social life in which information communications play a leading role. The objective process is the gradual but stable entry of the national information space into the European and world information sphere, in the context of which there is a legitimate question of its protection as one of the components of the national security of Ukraine. However, the implementation of this issue in practice immediately faces the need to respect the rights and fundamental freedoms guaranteed by international regulations and the Constitution of Ukraine, especially in the field of cybersecurity. The peculiarity of the modern economy is related to its informational nature, which affects the sharp increase in cyber incidents in the field of information security, which is widespread and threatening and affects a wide range of private, corporate, and public interests. The problem of forming an effective information security system is exacerbated by the spread of cybercrime as a leading threat to information security both in Ukraine and around the world. The purpose of this study is to analyze the state of cybersecurity and on this basis to identify new areas of the fight against cybercrime in Ukraine. Methods: the study is based on an extensive regulatory framework, which primarily consists of regulatory acts of Ukraine. The main methods were inductions and deductions, generalizations, statistical, comparative, and system-structural analysis, grouping, descriptive statistics, interstate comparisons, and graphical methods. Results. It is noted that a very important component of Ukraine's national security is the concept of "information terrorism", which includes cyberterrorism and media terrorism that will require its introduction into the law. An assessment of the state of cybersecurity in Ukraine is given. Based on the trend analysis, further growth of cybercrimes was predicted, and ABC analysis showed the existence of problems in the field of security of payment systems. Insufficient accounting of cybercrime and the absence in the current legislation of all relevant components of cybersecurity does not allow the definition of a holistic system of counteraction. Therefore, the proposed new legal norms in the field of information security take into account modern research in the field of promising areas of information technology development and the latest algorithms for creating media content.

Is the Spinal Instability Neoplastic Score Accurate and Reliable in Predicting Vertebral Compression Fractures for Spinal Metastasis? A Systematic Review and Qualitative Analysis

  • Lee, Chang-Hyun;Hong, Jae Taek;Lee, Sun-Ho;Yi, Seong;Sohn, Moon-Jun;Kim, Sung Hwan;Chung, Chun Kee;Korean Spine Oncology Research Society
    • Journal of Korean Neurosurgical Society
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    • v.64 no.1
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    • pp.4-12
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    • 2021
  • Spinal metastases can present with varying degrees of mechanical instability. The Spinal Instability Neoplastic Score (SINS) was developed as a tool to assess spinal neoplastic-related instability while helping to guide referrals among oncology specialists. Some previous papers suggested that the SINS was accurate and reliable, while others disagreed with this opinion. We performed a systematic review regarding the SINS to evaluate its accuracy and precision in predicting vertebral compression fractures (VCFs). The 21 included studies investigated a total of 2118 patients. Thirteen studies dealt with the accuracy of SINS to predict post-radiotherapy VCFs, and eight dealt with the precision. Among 13 studies, 11 agreed that the SINS categories showed statistically significant accuracy in predicting VCF. Among eight studies, body collapse was effective for predicting VCFs in six studies, and alignment and bone lesion in two studies. Location has no statistical significance in predicting VCFs in any of the eight studies. The precision of SINS categories was substantial to excellent in six of eight studies. Among the six components of the SINS, the majority of the included studies reported that location showed near perfect agreement; body collapse, alignment, and posterolateral involvement showed moderate agreement; and bone lesion showed fair agreement. Bone lesion showed significant accuracy in predicting VCFs in half of eight studies, but displayed fair reliability in five of seven studies. Although location was indicated as having near perfect reliability, the component showed no accuracy for predicting VCFs in any of the studies and deleting or modifying the item needs to be considered. The SINS system may be accurate and reliable in predicting the occurrence of post-radiotherapy VCFs for spinal metastasis. Some components seem to be substantially weak and need to be revised.

The Antifungal Effect of Rhus verniciflua Stokes against Metarhizium anisopliae on the Edible Insect, Protaetia brevitarsis (Coleoptera) (흰점박이꽃무지에 발생하는 병원성 곰팡이 Metarhizium anisopliae에 대한 옻나무 추출액의 항진균 효과)

  • Kim, Nang-Hee;Song, Myung-Ha;Kim, Eunsun;Kim, Yongsoon;Park, Kwan-Ho;Kim, Sunyoung
    • Korean Journal of Ecology and Environment
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    • v.53 no.4
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    • pp.374-379
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    • 2020
  • The white-spotted flower chafer (Protaetia brevitarsis) larva is one of the insects widely-used for edible and medicinal purposes in Eastern Asia. As a result of increasing demand for P. brevitarsis, massrearing systems in domestic farms have become necessary. However, the mass-rearing of larvae under confined rearing conditions could provide conditions unsuitable for preventing entomopathogenic diseases. Metarhizium anisopliae is the strongest fatal entomopathogenic fungus against P. brevitarsis. For inhibition of M. anisopliae, we used a Rhus verniciflua Stokes extract that has antifungal components. We investigated the inhibitory effect of the R. verniciflua extract at 1%, 5%, and 10% concentrations. The results showed that a 1% R. verniciflua extract added to sawdust produced a significantly low P. brevitarsis mortality rate. Moreover, extract-treated groups were heavier and had a shorter larval period than those of the untreated group. Consequently, we suggest that using an R. verniciflua extract can reduce the P. brevitarsis fatality rate from entomopathogenic fungi (e.g. M. anisopliae), resulting in more effective mass-rearing systems for P. brevitarsis.

High-density single nucleotide polymorphism chip-based conservation genetic analysis of indigenous pig breeds from Shandong Province, China

  • Wang, Yanping;Zhao, Xueyan;Wang, Cheng;Wang, Wenwen;Zhang, Qin;Wu, Ying;Wang, Jiying
    • Animal Bioscience
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    • v.34 no.7
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    • pp.1123-1133
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    • 2021
  • Objective: Shandong indigenous pig breeds are important Chinese pig resources. Their progressive population decline in recent decades has attracted attention towards their conservation. Conservation genetics of these indigenous breeds are essential for developing a conservation and utilization scheme. Methods: A high-density single nucleotide polymorphism (HD-SNP) chip-based comparative analysis of genetic characteristics was performed for seven Shandong indigenous pig breeds in the context of five Western commercial breeds. Results: The results showed that Shandong indigenous pig breeds varied greatly in genetic diversity, effective population size, inbreeding level, and genetic distance with the Western commercial breeds. Specifically, Laiwu and Dapulian displayed low genetic diversity, and had a genetically distant relationship with the Western commercial breeds (average F statistics [FST] value of 0.3226 and 0.2666, respectively). Contrastingly, the other five breeds (Yantai, Licha, Yimeng, Wulain, and Heigai) displayed high genetic diversity within breed and had some extent of mixture pattern with the Western commercial breeds, especially Duroc and Landrace (FST values from 0.1043 to 0.2536). Furthermore, intensive gene flow was discovered among the seven Shandong indigenous breeds, particularly Wulian, Licha, and Heigai, as indicated by the large cluster formed in the principal component analysis scatterplot and small population differentiation (average of 0.1253) among them. Conclusion: Our study advances the understanding of genetic characteristics of Shandong indigenous breeds and provides essential information for developing an appropriate conservation and utilization scheme for these breeds.

Detection of Drought Stress in Soybean Plants using RGB-based Vegetation Indices (RGB 작물 생육지수를 활용한 콩 한발 스트레스 판별기술 평가)

  • Sang, Wan-Gyu;Kim, Jun-Hwan;Baek, Jae-Kyeong;Kwon, Dongwon;Ban, Ho-Young;Cho, Jung-Il;Seo, Myung-Chul
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.23 no.4
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    • pp.340-348
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    • 2021
  • Continuous monitoring of RGB (Red, Green, Blue) vegetation indices is important to apply remote sensing technology for the estimation of crop growth. In this study, we evaluated the performance of eight vegetation indices derived from soybean RGB images with various agronomic parameters under drought stress condition. Drought stress influenced the behavior of various RGB vegetation indices related soybean canopy architecture and leaf color. In particular, reported vegetation indices such as ExGR (Excessive green index minus excess red index), Ipca (Principal Component Analysis Index), NGRDI (Normalized Green Red Difference Index), VARI (Visible Atmospherically Resistance Index), SAVI (Soil Adjusted Vegetation Index) were effective tools in obtaining canopy coverage and leaf chlorophyll content in soybean field. In addition, the RGB vegetation indices related to leaf color responded more sensitively to drought stress than those related to canopy coverage. The PLS-DA (Partial Squares-Discriminant Analysis) results showed that the separation of RGB vegetation indices was distinct by drought stress. The results, yet preliminary, display the potential of applying vegetation indices based on RGB images as a tool for monitoring crop environmental stress.

Determination of Fire Risk Assessment Indicators for Building using Big Data (빅데이터를 활용한 건축물 화재위험도 평가 지표 결정)

  • Joo, Hong-Jun;Choi, Yun-Jeong;Ok, Chi-Yeol;An, Jae-Hong
    • Journal of the Korea Institute of Building Construction
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    • v.22 no.3
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    • pp.281-291
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    • 2022
  • This study attempts to use big data to determine the indicators necessary for a fire risk assessment of buildings. Because most of the causes affecting the fire risk of buildings are fixed as indicators considering only the building itself, previously only limited and subjective assessment has been performed. Therefore, if various internal and external indicators can be considered using big data, effective measures can be taken to reduce the fire risk of buildings. To collect the data necessary to determine indicators, a query language was first selected, and professional literature was collected in the form of unstructured data using a web crawling technique. To collect the words in the literature, pre-processing was performed such as user dictionary registration, duplicate literature, and stopwords. Then, through a review of previous research, words were classified into four components, and representative keywords related to risk were selected from each component. Risk-related indicators were collected through analysis of related words of representative keywords. By examining the indicators according to their selection criteria, 20 indicators could be determined. This research methodology indicates the applicability of big data analysis for establishing measures to reduce fire risk in buildings, and the determined risk indicators can be used as reference materials for assessment.