• Economic and Environmental Geology
• /
• v.53 no.5
• /
• pp.609-617
• /
• 2020

After introducing the industry 4.0 policy, Korean government announced 'Digital New Deal' and 'Green New Deal' as 'Korean New Deal' in 2020. We analyzed Korea Institute of Geoscience and Mineral Resources (KIGAM)'s research projects related to that policy and conducted markets analysis focused on Digital Twin and environmental monitoring technologies. Regarding 'Data Dam' policy, we suggested the digital geo-contents with Augmented Reality (AR) & Virtual Reality (VR) and the public geo-data collection & sharing system. It is necessary to expand and support the smart mining and digital oil fields research for '5th generation mobile communication (5G) and artificial intelligence (AI) convergence into all industries' policy. Korean government is suggesting downtown 3D maps for 'Digital Twin' policy. KIGAM can provide 3D geological maps and Internet of Things (IoT) systems for social overhead capital (SOC) management. 'Green New Deal' proposed developing technologies for green industries including resource circulation, Carbon Capture Utilization and Storage (CCUS), and electric & hydrogen vehicles. KIGAM has carried out related research projects and currently conducts research on domestic energy storage minerals. Oil and gas industries are presented as representative applications of digital twin. Many progress is made in mining automation and digital mapping and Digital Twin Earth (DTE) is a emerging research subject. The emerging research subjects are deeply related to data analysis, simulation, AI, and the IoT, therefore KIGAM should collaborate with sensors and computing software & system companies.

• Nuclear Engineering and Technology
• /
• v.25 no.1
• /
• pp.125-135
• /
• 1993

The safe and efficient operation of nuclear plants is recognized to be accomplished through the application of plant automation using digital technology, which is one of main targets of the next generation nuclear plants. For plant level automation, it is first required that each major subsystem be digitalized, and the steam generator water level control system is discussed in this study. The transfer functions between inputs and the level are derived by employing the thermal hydraulic model of the steam generator and are applied to the analysis of the current three-element control system. Since the control scheme in this study includes the steam generator itself as a process plant, the system order is high and the numerical instability arises in digitalizing. Together with this, the unreliability of the feedwater feedback signal at low power level leads to the proposal of a two-element control system with a proper digital controller. The digital PI controller developed for this system has the initial power adaptive gain and integration time constant. And it makes the overall system response satisfy the stability and other necessary control specifications simultaneously. Since the two-element control system using this controller depends on the initial power only, it is simple to define and it shows a similar level response behavior to that of its corresponding analog system.

• The Journal of the Korea Contents Association
• /
• v.21 no.4
• /
• pp.77-87
• /
• 2021

Smart Factory refers to a factory that can be controlled by itself with an intelligent factory that improves productivity, quality and customer satisfaction by combining the entire process of manufacturing and production with digital automation solutions. The manufacturing industry around the world is rapidly changing, with Germany, Europe, and the United States at the center. In order to cope with such changes, the Korean government is also implementing a policy to spread the supply of smart factories for small and medium-sized companies, and related ministries and agencies such as the Ministry of Commerce, Industry and Energy, the Ministry of SMEs and Venture Business, the Korea Institute of Technology and Information Promotion, and local technoparks, as well as large companies such as Samsung, SK and LG are actively investing in smart manufacturing projects to support smart factories[1]. Factory Automation (FA) construction has many issues regarding the connection of heterogeneous equipment. The most difficult aspect of configuring various communications from various equipment is the reason. Although it may not be known if there are standards or products made up of the same company, it is not easy to build equipment that is old, up-to-date, and different use environments through a series of communications. To solve this problem, we would like to propose a method of communication using Modbus, one of FieldBus, which is one of the many industrial devices of PLC, a representative facility control system, and is used as a communication standard.

• Journal of Korea Multimedia Society
• /
• v.14 no.6
• /
• pp.794-801
• /
• 2011

Main machinery in the factory have various digital indicator to display its operating data for the manager. It is useful to control these datum at the remote office for factory automation in order to increase machine productivity. It is easy to use Ethernet infrastructure for remote communication. But most of all machinery in domestic factories still support RS232c or RS485 serial communication way. In this case to control machinery datum on the ethernet base, it is need to change RS232C or RS485 data to ethernet base. In this paper, in order to develop a remote progress management system through the wireless Internet, we show a design method to make easy maintenance by developing the system with both the JAVA language and RxTx Package for RS232c serial communication. For the system implementation, we added the digital indicator connect with a thermo couple to a machine which provide the real time status data of temperature. To connect machines management server program, we set up a convertor to change the RS485 data to the RS232c and also another convertor to change the RS232c data to wireless ethernet.

• Journal of Digital Convergence
• /
• v.20 no.4
• /
• pp.367-376
• /
• 2022

In traditional criminal cases, there is a limit to information collection because information on the subject of investigation is provided only with personal information held by the national organization of legal. Surface web-based OSINT(Open Source Intelligence), including SNS and portal sites that can be searched by general search engines, can be used for meaningful profiling for criminal investigations. The Korean-style OSINT workflow can effectively profile based on OSINT, but in the case of individuals, OSINT that can be collected is limited because it begins with "name", and the reliability is limited, such as collecting information of the persons with the same name. In order to overcome these limitations, this paper defines information related to individuals, i.e., equivalent information, and enables efficient and accurate information collection based on this. Therefore, we present an improved workflow that can extract information related to a specific person, ie., equivalent information, from OSINT. For this purpose, different workflows are presented according to the person's profile. Through this, effective profiling of a person (individuals) is possible, thereby increasing reliability in collecting investigation information. According to this study, in the future, by developing a system that can automate the analysis process of information collected using artificial intelligence technology, it can lay the foundation for the use of OSINT in criminal investigations and contribute to diversification of investigation methods.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.37 no.2
• /
• pp.77-84
• /
• 2024

In the fourth industrial-revolution era, the construction industry is transitioning from traditional methods to digital processes. This shift has been challenging owing to the industry's employment of diverse processes and extensive human resources, leading to a gradual adoption of digital technologies through trial and error. One critical area of focus is the safety management at construction sites, which is undergoing significant research and efforts towards digitization and automation. Despite these initiatives, recent statistics indicate a persistent occurrence of accidents and fatalities in construction sites. To address this issue, this study utilizes large-scale language-model artificial intelligence to analyze big data from a construction safety-management information network. The findings are integrated into on-site models, which incorporate real-time updates from detailed design models and are enriched with location information and spatial characteristics, for enhanced safety management. This research aims to develop a big-data-driven safety-management platform to bolster facility and worker safety by digitizing construction-site safety data. This platform can help prevent construction accidents and provide effective education for safety practices.

• Journal of Digital Convergence
• /
• v.12 no.9
• /
• pp.369-378
• /
• 2014

The information processing capabilities of contemporary people have reached its limit as the daily life in an information society calls for prompt judgment and decisions while being overwhelmed with information. We no longer make optimal decisions after analyzing all necessary data and information and instead make automatic decisions based on just a handful of important information. Such a phenomenon can be observed not just in daily life but also on the internet. People believe they are making a rational choice when selecting and purchasing a product online, but in fact subconscious thoughts and behavior triggered immediately by certain parts of the brain without our knowing are what makes the decision. Therefore, this study seeks to investigate the cases of various UX designs where the persuasion method based on Cialdini's psychology of persuasion is applied and to suggest a direction for a more effective user interface design based on the findings.

• Journal of Digital Convergence
• /
• v.11 no.2
• /
• pp.323-330
• /
• 2013

The trend of the use of open softwares is increasing daily. Despite these increases in the use of open softwares, the importance of the problem of their quality is not considered enough. Also, if we look at the existing evaluation model which is used as the evaluation model of the existing open software, the level of the quantization is insufficient, the evaluator can show some subjectivity and as a clear evaluation method is not published, there are many problems to apply it in practice. Therefore, in this study, we have built an evaluation basis that can show consistent quantization without the influence of the evaluator and that can improve the evaluation speed with the automatization of the evaluation information acquisition. The built quality evaluation model will take an important role to evaluate and to improve the open software.

• Journal of Digital Convergence
• /
• v.14 no.5
• /
• pp.283-291
• /
• 2016

The railroad is one of the most popular means of transport. However, railroad agencies are managing the railroad information and provide its service respectively. That is, because of managing the different information and its type, the user will not receive the correct and integrated information. Thus, it is needed to employ methods for converting the various types of railroad information into the unified railroad information. In this study, we investigated how to (semi-)automatically convert railroad information in each agencies to standard railroad information. Railroad passengers can use the railroad information service at a time, at a glance and in one place. In addition, we believe that there can be provided the opportunity to create an new service, which will dramatically develop a railroad information service through these systematic and integrated railroad information management.

• Journal of Digital Convergence
• /
• v.13 no.6
• /
• pp.165-175
• /
• 2015

Methods to design programs which implement IT systems have been developed in various forms from flowchart to activity diagram of UML. However, program design tools and methods developed so far have not been efficient comparing to program coding tools and methods. In addition, Program design methods and tools developed until now have been difficult to support the bidirectional conversion between program design and coding, and the improvement of development productivity and maintainability. Therefore, in this study, we propose Convergence Development Method to enable working with wide bandwidth through fusing the program design and coding phase by using SOC and supporting tool named SETL which automatizes the convergence of design and coding. Thus, by using SETL, it is expected that the efficiency gap between the program design and coding phase is reduced, and development productivity and maintainability is increased. key words.