• Journal of the Korea Academia-Industrial cooperation Society
• /
• 제17권7호
• /
• pp.165-174
• /
• 2016

This paper examined opportunities and limitations of building an innovation cluster based on large scale research facilities (LSRF). For this purpose, success factors of innovation clusters were drawn from the literature, and categorized into knowledge & technology, transaction cost & agglomeration economies, hardware & software infrastructure, and government policy & strategy. Utilizing the categorization as an analytic framework, case studies of CERN and SPring-8 were performed. The results showed that there were various innovation processes for both cases, creating opportunities for developing innovation clusters in terms of knowledge and technology. On the other hand, in the case of SPring-8, there were disadvantages in the transaction cost and agglomeration economies, being located in a remote area due to the nature of the facility. Software & hardware infrastructure of SPring-8 limited its potential for innovation clusters. Regarding government policy and strategy, CERN, as a multinational institution, did not consider an innovation cluster in a specific region despite some advantages. An innovation cluster around SPring-8 was promoted by government policy despite some disadvantages. In other words, the advantages and disadvantages were enhanced or complemented by software & hardware infrastructure and government policy & strategy. Based on the results, this paper provides the implications for the Korean International Science-Business Belt.

• Smart Structures and Systems
• /
• 제26권4호
• /
• pp.481-493
• /
• 2020

The negative stiffness spring and inerter are both characterized by the negative stiffness effect in the force-displacement relationship, potentially yielding an amplifying mechanism for dashpot deformation by being incorporated with a series tuning spring. However, resisting forces of the two mechanical elements are dominant in different frequency domains, thus leading to necessary complementarity in terms of vibration control and the amplifying benefit. Inspired by this, this study proposes a Negative Stiffness Inerter System (NSIS) as an earthquake protection system and developed analytical design formulae by fully utilizing its advantageous features. The NSIS is composed of a sub-configuration of a negative stiffness spring and an inerter in parallel, connected to a tuning spring in series. First, closed-form displacement responses are derived for the NSIS structure, and a stability analysis is conducted to limit the feasible domains of NSIS parameters. Then, the dual advantageous features of displacement reduction and the dashpot deformation amplification effect are revealed and clarified in a parametric analysis, stimulating the establishment of a displacement-based optimal design framework, correspondingly yielding the design formulae in analytical form. Finally, a series of examples are illustrated to validate the derived formulae. In this study, it is confirmed that the synergistic incorporation of the negative stiffness spring and the inerter has significant energy dissipation efficiency in a wide frequency band and an enhanced control effect in terms of the displacement and shear force responses. The developed displacement-based design strategy is suitable to utilize the dual benefits of the NSIS, which can be accurately implemented by the analytical design formulae to satisfy the target vibration control with increased energy dissipation efficiency.

• Transactions of the Korean Society of Mechanical Engineers A
• /
• 제23권11호
• /
• pp.2022-2032
• /
• 1999

In recent years, the subject of remaining life assessment has drawn considerable attention in the power generation industry. In power generation systems a variety of structural components, such as steam pipes, turbine rotors, and superheater headers, typically operate at high temperatures and high pressures. Thus a life prediction methodology accounting for fracture and rupture is increasingly needed for these components. For accurate failure assessment, in addition to the single parameter such as K or J-integral used in traditional fracture mechanics, the second parameter like T-stress describing the constraint is needed. The most critical defects in such structures are generally found in the form of semi-elliptical surface cracks in the welded piping-joints. In this work, selecting the structures of surface-cracked plate and straight pipe, we first perform line-spring finite element modeling, and accompanying elastic-plastic finite element analyses. We then present a framework for including constraint effects (T-stress effects) in the R6 failure assessment diagram approach for fracture assessment.

• Journal of Digital Convergence
• /
• 제17권2호
• /
• pp.155-161
• /
• 2019

Electroencephalography (EEG), a representative method of identifying temporal and spatial changes in brain activity, is a voluntary electrical activity measurable in the human scalp. Various interface technologies have been provided to control EEG activity, and it is possible to operate a machine such as a wheelchair or a robot through brainwaves. The characteristics of EEG data are collected in various types of channels in real time, and a server system for analyzing them is required to have an independent and lightweight system for the platform. In these days, the Spring platform is used as a large business server as an independent, lightweight server system. In this paper, we propose an EEG analysis system using the Spring server system. Using the proposed system, the reliability of EEG control can be enhanced, and analysis and control interface expansion can be provided in various aspects such as game and medical areas.

• Journal of Digital Convergence
• /
• 제16권12호
• /
• pp.343-349
• /
• 2018

Electroencephalograph(EEG) information, which is an important data of brain science, reflects various levels of information from the molecular level to the behavior and cognitive stages, and the explosively amplified information is provided at each stage. Therefore, EEG information is an intrinsic privacy area of an individual, which is important information to be protected. In this paper, we apply spring security to web based system of spring MVC (Model, View, Control) framework to build independent and lightweight server system with powerful security system. Through the proposal of the platform type EEG analysis system which enhances the security function, the web service security of the EEG information is enhanced and the privacy of the EEG information can be protected.

• Spatial Information Research
• /
• 제22권2호
• /
• pp.63-71
• /
• 2014

Ocean leisure sports have recently emerged as one of so-called blue ocean industries. They are sensitive to diverse environmental conditions such as current, temperature, and salinity, which can increase needs of forecasting data as well as in-situ observations for the ocean. In this context, a Web-based geovisualization system for coastal information produced by model forecasts was implemented for use in supporting various ocean activities. First, FVCOM(Finite Volume Coastal Ocean Model) was selected as a forecasting model, and its data was preprocessed by a spatial interpolation and sampling library. The interpolated raster data for water surface elevation, temperature, and salinity were stored in image files, and the vector data for currents including speed and direction were imported into a distributed DBMS(Database Management System). Web services in REST(Representational State Transfer) API(Application Programming Interface) were composed using Spring Framework and integrated with desktop and mobile applications developed on the basis of hybrid structure, which can realize a cross-platform environment for geovisualization.

• The Journal of the Korea institute of electronic communication sciences
• /
• 제12권1호
• /
• pp.195-200
• /
• 2017

Due to the rapid development of Internet technology, qualities of Web services are steadily improving and the Web database systems are actively employed to efficiently manage proper informations in various fields. In this paper, we propose a Web database system for the efficient material management for reusing construction materials. The proposed Web-based management system is operated using the spring framework, after constructing a database based on the collected data including tag ID, Location, Material, State, and Cycle, using the RFID(: Radion Frequency IDentification) system equipped with a location estimation module. Recently, the processing problem for a large amount of the residues generated at the demolition stage of various buildings is magnified in the construction site. The proposed Web-based construction material management system is expected for improving the processing problem as increasing the reusability and for reducing the construction cost as efficiently managing the construction materials for the reuse.

• Journal of the Korea Society of Computer and Information
• /
• 제26권10호
• /
• pp.117-124
• /
• 2021

In this paper, we propose CANVAS (Creative ANalytics enVironment And System), an analytics system of the National Research Data Platform (DataON). CANVAS is a personalized analytics cloud service for researchers who need computing resources and tools for research data analysis. CANVAS is designed in consideration of scalability based on micro-services architecture and was built on top of open-source software such as eGovernment Standard framework (Spring framework), Kubernetes, and JupyterLab. The built system provides personalized analytics environments to multiple users, enabling high-speed and large-capacity analysis by utilizing high-performance cloud infrastructure (CPU/GPU). More specifically, modeling and processing data is possible in JupyterLab or GUI workflow environment. Since CANVAS shares data with DataON, the research data registered by users or downloaded data can be directly processed in the CANVAS. As a result, CANVAS enhances the convenience of data analysis for users in DataON and contributes to the sharing and utilization of research data.

• Journal of the Korea Convergence Society
• /
• 제12권7호
• /
• pp.45-51
• /
• 2021

In accordance with the rapid non-face-to-face environment and mobile first strategy, the explosive increase and creation of many structured/unstructured data every year demands new decision making and services using big data in all fields. However, there have been few reference cases of using the Hadoop Ecosystem, which uses the rapidly increasing big data every year to collect and load big data into a standard platform that can be applied in a practical environment, and then store and process well-established big data in a relational database. Therefore, in this study, after collecting unstructured data searched by keywords from social network services based on Hadoop 2.0 through three virtual machine servers in the Spring Framework environment, the collected unstructured data is loaded into Hadoop Distributed File System and HBase based on the loaded unstructured data, it was designed and implemented to store standardized big data in a relational database using a morpheme analyzer. In the future, research on clustering and classification and analysis using machine learning using Hive or Mahout for deep data analysis should be continued.

• KIPS Transactions on Software and Data Engineering
• /
• 제7권12호
• /
• pp.497-504
• /
• 2018

This paper studies about the Oriental Medical Expert System, based on Open Source Drools for rule engine processing, which contains scalability, availability, and modifiability. The system is developed with the Spring MVC framework and Ajax for stable services of the Web-based Medical Expert System. The diagnosis and treatment process of this Medical Expert system provides a service that provides the general users to accesses the web with a series of questionnaires. In order to compensate for the asynchronous communication between clients and services, and also for the complicated JDBC weaknesses, we applied the data handling in JSON to reduce the servers' loads, and also the Mybatis framework to improve the performance of the RDBMS, respectively. In addition, as the number of users increases to cope with the maximum available services of the web-based system, the load balancing structure using Nginx has been developed to solve the server traffic problems and the service availability has been increased. The experimental results show the stable services by approving the scalability test.