• Journal of the Korean Wood Science and Technology
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• v.49 no.1
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• pp.93-102
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• 2021

In this article, withdrawal resistances of axially loaded self-tapping screws on wood products made by Korean Larch were predicted with existing estimation equation, and compared with experimental test data. The research was required because no design methodology for the withdrawal resistance of self-tapping screw is present in Korean building code (KBC). First, the withdrawal resistance of wood screw was predicted to use the withdrawal design value estimation equation in National Design Specification for Wood Construction (NDS). Second, three types of wood products, solid wood, cross-laminated timber (CLT) and plywood, were utilized for withdrawal test. For decades, various engineered wood products have been developed, especially cross-laminated timber (CLT) and hybrid timber composites such as timber composites of solid wood and plywood. Therefore, CLT and plywood were also investigated in this study as well as solid wood. Finally, the predicted values were compared with experimentally tested values. As the results, the tested values of solid wood and CLT were higher than the predicted values. In contrast, it is inaccurate to predict withdrawal resistance of plywood since prediction was higher than tested values.

• Journal of Information Technology Applications and Management
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• v.30 no.6
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• pp.1-15
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• 2023

With the advent of the Fourth Industrial Revolution, propelled by digital technology, we are transitioning into an era of hyperconnectivity, where everything and objects are becoming interconnected. A smart supply chain refers to a supply chain system where various sensors and RFID tags are attached to objects such as machinery and products used in the manufacturing and transportation of goods. These sensors and tags collect and analyze process data related to the products, providing meaningful information for operational use and decision-making in the supply chain. Before the spread of COVID-19, the fundamental principles of supply chain management were centered around 'cost minimization' and 'high efficiency.' A smart supply chain overcomes the linear delayed action-reaction processes of traditional supply chains by adopting real-time data for better decision-making based on information, providing greater transparency, and enabling enhanced collaboration across the entire supply chain. Therefore, in this study, a hierarchical model for building a smart supply chain was constructed to systematically derive the importance of key factors that should be strategically considered in the construction of a smart supply chain, based on the major factors identified in previous research. We applied AHP (Analytical Hierarchy Process) techniques to identify urgent improvement areas in smart SCM initiatives. The analysis results showed that the external supply chain integration is the most urgent area to be improved in smart SCM initiatives.

• Knowledge Management Research
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• v.19 no.1
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• pp.119-132
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• 2018

Many advanced products and services are emerging in the market thanks to data-based technologies such as Internet (IoT), Big Data, and AI. The construction of a system for data processing under the IoT network environment is not simple in configuration, and has a lot of restrictions due to a high cost for constructing a high performance server environment. Therefore, in this paper, we will design a development environment for large data analysis computing platform using open source with low cost and practicality. Therefore, this study intends to implement a big data processing system using Raspberry Pi, an ultra-small PC environment, and open source API. This big data processing system includes building a portable server system, building a web server for web mining, developing Python IDE classes for crawling, and developing R Libraries for NLP and visualization. Through this research, we will develop a web environment that can control real-time data collection and analysis of web media in a mobile environment and present it as a curriculum for non-IT specialists.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.30-37
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• 2020

In the building construction, the steel-frame work occupies an important position in terms of structure, cost and quality. Especially in Japan, steel frames have traditionally been the main structure of many buildings. For steel-frame works in such positions, this paper investigates an existing steel fabricator to clarify the actual conditions of design decision making process and management method in steel production process. This study focuses on a steel fabricator (Company M in the following sentences), whose main market is Japan and which has facilities in Thailand, China, and Japan. Company M uses QR codes to control the production status of products, and exchanges all information between inside and outside the company via specialized departments in the form of documents. The authors have already analyzed the relationship between production lead time and defect rate based on actual project data at Architectural Institute of Japan in 2016. In 2019, we expressed the process from the confirmation of the design information of the current steel frame to the production by WBS, and clarified the relationship between the production lead time and steel frame product quality structurally. In this paper, the authors reoport the progress of the survey conducted so far, the positioning of the collected data, and the future survey policy.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.486-489
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• 2002

Construction management has been a target of the result and the index which were decided by whether the resourecs(time, cost and progress...etc) were used. but this has been serious problems in time and cost because of the shortage of storage space, the incident, lowering of efficiency for works, working impossible of between work categories and the demage of finished products. Therefore I noticed that more correct and more objective establish of data collecting system was necessary. it was through the diversification of information for exchange and communication between the construction site and participants. DVR(Digital Video Recorder) and internet technology were suggested for a solution to this problem. the collected information by DVR was divided to 3 steps as how long it used and how much it processed for improving efficiency of using and storage of information. and then it was verified through applying to cases at construction site.

• Journal of the Korean Society of Industry Convergence
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• v.21 no.6
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• pp.273-284
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• 2018

3D printing technology in the construction field is currently being developed and commercialized actively in foreign countries, but the development of material and equipment is underway as an initial research stage in Korea. It is necessary to implement commercialization through the introduction of 3D printing technology in the construction field as soon as possible in Korea, but there is no guideline for suitable equipment and materials in Korea at present. Therefore, in order to help prepare for commercialization, it is necessary to provide data such as equipment size and materials suitable for commercialization at the initial stage. This study investigates the types, specifications, and applications of equipment that are being used overseas to provide the equipment type and material cost required in the initial stage of commercialization in Korea. Using the surveyed data, it was possible to calculate the advantages and disadvantages of the equipment type and specification, and the cost of materials used. As a result of the analysis, Gantry type is suitable for the domestic commercialization, and the standard of the output area is $100m^2$ and the extrusion amount of $250m^3/sec$ is proposed, and the material cost of the commercial product is 20thousand won. The suggestions in this study will help to plan the construction of products and equipments to commercialize 3D printing technology in construction field in the future.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.341-346
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• 2001

The purpose of this study is not only to show up the fact which a kind of construction management was applied during the ancient Korea, especially, Chosun Dynasty but also to understand its construction capacity by analysing various information. mainly collected from the book, HwaSungSungYouk-EuGye. The book was made by ChungCho who was one of the great kings Choson Dynasty, which has lots of information about how to build HwaSung during the last of the eighteen century. This study starts from the definition that the HwaSungSungYouk was one of the construction projects which is the concept for construction management today. The construction project can be defined in terms of its distinctive characteristics: a project is a temporary endeavor undertaken to create a unique product. Temporary means that every project has a definite beginning and a definite end. Unique means the product is different in some distinguishing way from all similar products. A project is also undertaken several kinds of organizations. They may involve a single person or many thousands. 1'his study is to show some of the effective methods. Firstly, the concept of the database system today can be applied to effectively control and classify the complicated data in the HwaSungSungYouk-EuGye. Secondly, on the basis of the database system, the concept of modem construction management will be also use to figure out the construction data of the HwaSungSungYouk-EuGye.

• Journal of Distribution Science
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• v.13 no.4
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• pp.9-19
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• 2015

Purpose - This study focuses on the use of evaluative criteria software for imprecise market information, and product mapping relationships between design parameters and customer requirements. Research design, data, and methodology - This study involved using the product predicted value method, synthesizing design alternatives through a morphological analysis and plan, realizing the synthesis in multi-criteria decision-making (MCDM), and using its searching software capacity to obtain optimal solutions. Results - The establishment of product designs conforms to the customer demand, and promotes the optimization of several designs. In this study, the construction level analytic method and the simple multi attribute comment, or the quantity analytic method are used. Conclusions - This study provides a solution for enterprise products' multi-goals decision-making, because the product design lacks determinism, complexity, risk, conflict, and so on. In addition, the changeable factor renders the entire decision-making process more difficult. It uses Fuzzy deduction and the correlation technology for appraising the feasible method and multi-goals decision-making, to solve situations of the products' multi-goals and limited resources, and assigns resources for the best product design.

• Bioinformatics and Biosystems
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• v.1 no.1
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• pp.28-37
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• 2006

Recent studies in molecular biology and proteomics have identified a significant number of novel diagnostic, prognostic, and therapeutic disease markers. However, validation of these markers in clinical specimens with traditional histopathological techniques involves low throughput and is time consuming and labor intensive. Tissue microarrays (TMAs) offer a means of combining tens to hundreds of specimens of tissue onto a single slide for simultaneous analysis. This capability is particularly pertinent in the field of cancer for target verification of data obtained from cDNA micro arrays and protein expression profiling of tissues, as well as in epidemiology-based investigations using histochemical/immunohistochemical staining or in situ hybridization. In combination with automated image analysis, TMA technology can be used in the global cellular network analysis of tissues. In particular, this potential has generated much excitement in cardiovascular disease research. The following review discusses recent advances in the construction and application of TMAs and the opportunity for developing novel, highly sensitive diagnostic tools for the early detection of cardiovascular disease.

• Smart Structures and Systems
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• v.26 no.5
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• pp.559-573
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• 2020

One of the powerful data management tools is Building Information Modeling (BIM) which operates through obtaining, recalling, sharing, sorting and sorting data and supplying a digital environment of them. Employing SHM, a BIM in monitoring systems, would be an efficient method to address their data management problems and consequently optimize the economic aspects of buildings. The recording of SHM data is an effective way for engineers, facility managers and owners which make the BIM dynamic through the provision of updated information regarding the occurring state and health of different sections of the building. On the other hand, digital transformation is a continuous challenge in construction. In a cloud-based BIM platform, environmental and localization data are integrated which shape the Internet-of-Things (IoT) method. In order to improve work productivity, living comfort, and entertainment, the IoT has been growingly utilized in several products (such as wearables, smart homes). However, investigations confronting the integration of these two technologies (BIM and IoT) remain inadequate and solely focus upon the automatic transmission of sensor information to BIM models. Therefore, in this composition, the use of BIM based on SHM and IOT is reviewed and the economic application is considered.