• Journal of Dental Rehabilitation and Applied Science
• /
• v.38 no.1
• /
• pp.34-41
• /
• 2022

Recently, digital technology and computer-aided design/computer-aided manufacturing (CAD/CAM) environment have changed the clinician treatment method in the fabrication of dentures. The denture manufacturing method with CAD/CAM technology simplifies the treatment and laboratory process to reduce the occurrence of errors and provides clinical efficiency and convenience. In this case, complete dentures were fabricated using stereolithography (SLA)-based 3D printing in patient with mandibular deviation. Recording base were produced in a digital model obtained with an intraoral scanner, and after recording a jaw relation in the occlusal rim, a definitive impression was obtained with polyvinyl siloxane impression material. In addition, facial scan data with occlusal rim was obtained so that it can be used as a reference in determination of the occlusal plane and in arrangement of artificial teeth during laboratory work. Artificial teeth were arranged through a CAD program, and a gingival festooning was performed. The definitive dentures were printed by SLA-based 3D printer using a Food and Drug Administration (FDA)-approved liquid photocurable resin. The denture showed adequate retention, support and stability, and results were satisfied functionally and aesthetically.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.7 no.6
• /
• pp.701-708
• /
• 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.

• Journal of Cadastre & Land InformatiX
• /
• v.53 no.1
• /
• pp.37-46
• /
• 2023

As real estate values rise, interest in cadastral resurvey is increasing. Accordingly, a cadastral resurvey project is actively underway for drone operation through securing work efficiency and improving accuracy. The need for utilization and management of cadastral resurvey results (drone images) is being raised, and through this study, a 3D spatial information platform was developed to solve the existing drone image management and utilization limitations and to provide drone image-based 3D cadastral information. It is proposed to build and use. The study area was selected as a district that completed the latest cadastral resurvey project in which the study was organized in February 2023. Afterwards, a web-based 3D platform was applied to the study to solve the user's spatial limitations, and the platform was designed and implemented based on drone images, spatial information, and attribute information. Major functions such as visualization of cadastral resurvey results based on 3D information and comparison of performance between previous cadastral maps and final cadastral maps were implemented. Through the open platform established in this study, anyone can easily utilize the cadastral resurvey results, and it is expected to utilize and share systematic cadastral resurvey results based on 3-dimensional information that reflects the actual business district. In addition, a continuous management plan was proposed by integrating the distributed results into one platform. It is expected that the usability of the 3D platform will be further improved if a platform is established for the whole country in the future and a service linked to the cadastral resurvey administrative system is established.

• Knowledge Management Research
• /
• v.24 no.2
• /
• pp.117-135
• /
• 2023

With the spread of COVID-19 and the preference for untact services, kiosks, which is one of self-service technologies, have been expanding into various service fields. Kiosks have some advantages of reducing labor costs and increasing work efficiency, but they often cause difficulties in the process of using kiosks. In this vein, this study examines the key antecedents affecting consumer's continuance intention toward kiosks by integrating technology anxiety and innovativeness into the expanded expectation-confirmation model. The research model was verified for the MZ generation to examine the perceptions of MZ generation about Kiosks. This is because if the MZ generation feels technical anxiety or difficualty about using kiosks, customers of other generations can expect to feel even more uncomfortable. As a result of the analysis of this study, it was confirmed that technical anxiety has a significantly negative effect on consumer's continuance intention toward kiosks. However, among the characteristic factors of customers, innovativeness did not significantly consumer's continuance intention toward kiosks. Based on our findings, it is expected that service companies will be able to understand the mechanism of forming consumer's continuance intention toward kiosks and pursuit several management activities for successfully adopting kiosks.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.7
• /
• pp.1951-1975
• /
• 2023

Recent advances in Cognitive Radio Networks (CRN) have elevated them to the status of a critical instrument for overcoming spectrum limits and achieving severe future wireless communication requirements. Collaborative spectrum sensing is presented for efficient channel selection because spectrum sensing is an essential part of CRNs. This study presents an innovative cooperative spectrum sensing (CSS) model that is built on the Firefly Algorithm (FA), as well as machine learning artificial neural networks (ANN). This system makes use of user grouping strategies to improve detection performance dramatically while lowering collaboration costs. Cooperative sensing wasn't used until after cognitive radio users had been correctly identified using energy data samples and an ANN model. Cooperative sensing strategies produce a user base that is either secure, requires less effort, or is faultless. The suggested method's purpose is to choose the best transmission channel. Clustering is utilized by the suggested ANN-FA model to reduce spectrum sensing inaccuracy. The transmission channel that has the highest weight is chosen by employing the method that has been provided for computing channel weight. The proposed ANN-FA model computes channel weight based on three sets of input parameters: PU utilization, CR count, and channel capacity. Using an improved evolutionary algorithm, the key principles of the ANN-FA scheme are optimized to boost the overall efficiency of the CRN channel selection technique. This study proposes the Artificial Neural Network with Firefly Algorithm (ANN-FA) for cognitive radio networks to overcome the obstacles. This proposed work focuses primarily on sensing the optimal secondary user channel and reducing the spectrum handoff delay in wireless networks. Several benchmark functions are utilized We analyze the efficacy of this innovative strategy by evaluating its performance. The performance of ANN-FA is 22.72 percent more robust and effective than that of the other metaheuristic algorithm, according to experimental findings. The proposed ANN-FA model is simulated using the NS2 simulator, The results are evaluated in terms of average interference ratio, spectrum opportunity utilization, three metrics are measured: packet delivery ratio (PDR), end-to-end delay, and end-to-average throughput for a variety of different CRs found in the network.

• Convergence Security Journal
• /
• v.22 no.4
• /
• pp.161-168
• /
• 2022

After the corona virus, as non-face-to-face services are activated, domain services that guarantee integrity by embedding sensing information of the Internet of Things (IoT) with block chain technology are expanding. For example, in areas such as safety and security using CCTV, a process is required to safely update firmware in real time and to confirm that there is no malicious intrusion. In the existing safe security processing procedures, in many cases, the person in charge performing official duties carried a USB device and directly updated the firmware. However, when private blockchain technology such as Hyperledger is used, the convenience and work efficiency of the Internet of Things environment can be expected to increase. This article describes scenarios in how to prevent vulnerabilities in the operating environment of various customers such as firmware updates and device changes in a non-face-to-face environment. In particular, we introduced the optimal blockchain technique for the Internet of Things (IoT), which is easily exposed to malicious security risks such as hacking and information leakage. In this article, we tried to present the necessity and implications of security management that guarantees integrity through operation applying block chain technology in the increasingly expanding Internet of Things environment. If this is used, it is expected to gain insight into how to apply the blockchain technique to guidelines for strengthening the security of the IoT environment in the future.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.3
• /
• pp.789-795
• /
• 2023

Digital-Twin are recognized as an important core technology for the realization of Smart Factories by simulating and optimizing the monitoring and predictive maintenance of manufacturing equipment and the operation of production lines in a digital space. To implement this system, we adopt the IEC62541-based OPC-UA (Open Platform Communications Unified-Architecture) Protocol, which has strengths in interoperability and connectivity between heterogeneous platforms. Therefore, In this paper, We designed and implemented an IIoT(Industry Internet of Things) system that connects heterogeneous platforms, and developed an OPC-UA simulator based on IEC 62541. We will present whether the data will be applied to the Digital-Twin Platform and whether it will work, and proceed with performance tests and evaluations. We evaluate the operation performance and OPC-UA performance of the Digital-Twin platform lightened by the proposed device, and present the optimal IEC62514-based simulator system. We proceeded with the performance evaluation of sending and receiving data with OPC-UA wrapping with the proposed simulator, and found that a lightweight Digital-Twin platform can be operated. This research can apply the OPC-UA protocol for implementing smart factory and meta-factory in the manufacturing shop floor with limited resources, avoiding the waste of time and space on the shop floor through the OPC-UA simulator. We expect that this will contribute to a significant improvement in efficiency by minimizing.

• Journal of the Korea Society of Computer and Information
• /
• v.28 no.4
• /
• pp.21-29
• /
• 2023

In this paper, we propose an AI-based system for automatically classifying industry and occupation codes in the population census. The accurate classification of industry and occupation codes is crucial for informing policy decisions, allocating resources, and conducting research. However, this task has traditionally been performed by human coders, which is time-consuming, resource-intensive, and prone to errors. Our system represents a significant improvement over the existing rule-based system used by the statistics agency, which relies on user-entered data for code classification. In this paper, we trained and evaluated several models, and developed an ensemble model that achieved an 86.76% match accuracy in industry and 81.84% in occupation, outperforming the best individual model. Additionally, we propose process improvement work based on the classification probability results of the model. Our proposed method utilizes an ensemble model that combines transfer learning techniques with pre-trained models. In this paper, we demonstrate the potential for AI-based systems to improve the accuracy and efficiency of population census data classification. By automating this process with AI, we can achieve more accurate and consistent results while reducing the workload on agency staff.

• The Korean Journal of Archival Studies
• /
• no.77
• /
• pp.37-74
• /
• 2023

As the Yoon Seok-yeol administration enters its second year in office, it is beginning to vigorously promote policies related to the "digital platform government," which is the 11th of the 120 national tasks. Accordingly, the Digital Platform Government Committee established and reported the 'Digital Platform Government Realization Plan' to the President in April 2023, and the 「Act on Provision and Use of Public Data」 and 「Data An amendment to the Act on the Vitalization of Infrastructure Administration" was submitted to the National Assembly in June 2023. In addition, the 「Regulations on the Promotion of Administrative Efficiency and Collaboration」, which is a Presidential Decree, was revised to 「Regulations on Operation and Innovation of Administrative Affairs」, including the name change, to effectively promote innovation in administrative work, and was completed on June 27, 2023. Therefore, this study aims to examine the trends of public institutions related to the digital platform government as a government task, and discuss whether the recent trends will affect the management of institutional records. Indications to respond to the government's digital platform, which is leading the way, it was emphasized that the operation of the current Medical Records Act is strange.

• The Korean Journal of Archival Studies
• /
• no.77
• /
• pp.151-187
• /
• 2023

The cooperation between archives and libraries is necessary for the management of limited operational space and the improvement of work efficiency. "Larchive" is one of the model of cooperation between libraries and archives, so it can be an alternative plan for institutions that face difficulties in collaborating through "Larchiveum" - growing model of cooperation between libraries, archives, and museums. This study presents the recognition of Larchive to university archivists and librarians, and suggests a practical operation plan for cooperation between the archive and library. As a result, "Larchive" was relatively less aware of archivists and librarians, but in the practical point of view, respondents were fully aware of the need for cooperation between archives and libraries. In particular, Larchive was presented as a rational alternative model for both of the groups. And the need for material cooperation can be confirmed through the recognition survey, and the improvement plan for business cooperation can be confirmed through the FGI. Some prerequisites are proposed such as securing a collaborative workplace, assignment of budget and manpower. Through the results, this study presented practical operational plans for organizational cooperation in the form of Larchive, focusing on the perspectives of "teaching and learning support", "research support services", "curation services", "collection and management of school history data", "cooperation for evaluation", and drew discussion points.