Smart factory environments and digital twin environments are established, and today's factories accumulate vast amounts of production data and are managed in real time as visualized results suitable for user convenience. Production simulation techniques are in the spotlight as a way to prevent delays in delivery and predict factory volatility in situations where production schedule planning becomes difficult due to the diversification of production products. With the development of the digital twin environment, new packages are developed and functions of existing packages are updated, making it difficult for users to make decisions on which packages to use to develop simulations. Therefore, in this study, the concept of Discrete Event Simulation (DES) performed based on discrete events is defined, and the characteristics of various simulation packages were compared and analyzed. To this end, studies that solved real problems using discrete event simulation software for 10 years were analyzed, and three types of software used by the majority were identified. In addition, each package was classified by simulation technique, type of industry, subject of simulation, country of use, etc., and analysis results on the characteristics and usage of DES software were provided. The results of this study provide a basis for selection to companies and users who have difficulty in selecting discrete event simulation package in the future, and it is judged that they will be used as basic data.
This study is a study to develop a model to measure the economic performance when introducing industrial safety design, which is emerging as a necessity for industrial accident prevention measures due to the increase in the industrial site nursing accident rate and the enforcement of the Serious Accident Punishment Act. To this end, studies on the concept of industrial safety management and industrial safety design and economic performance measurement in the field of industrial safety were conducted in terms of theoretical background. Based on the theoretical background, opinions on drafts of related indicators were collected through user opinion surveys, and focus group interviews and Delphi techniques were conducted with experts, and research was conducted to advance the model. In order to secure objectivity, the causal relationship between the introduction of industrial safety design, cost reduction effect, and sales increase effect was tested through regression analysis. After going through these steps, two models of economic performance measurement of industrial safety design were finally developed: a model based on the first-stage disaster loss cost reduction effect and a second-stage sales increase effect. In order to be applied to actual industrial sites, it should be able to be presented as a standard for the degree of service level agreement of industrial safety design beyond a simple checklist.
Journal of the Korean BIBLIA Society for library and Information Science
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v.33
no.1
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pp.371-401
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2022
If the blockchain means storing information in a distributed environment that cannot be forged or altered, it is mentioned that this is similar to what librarians collect, preserve, and share authoritative information. In this way, this study examined blockchain technology as a way to collect and provide reliable information, increase work efficiency inside and outside the library, and strengthen cooperative networks. This study attempted to propose various ways to utilize blockchain technology in book relations based on literature surveys and case studies in other fields. To this end, this study first analyzed the field and cases of blockchain application to confirm the possibility and value of blockchain application in the library field, and proposed 12 ways to utilize it based on this. The utilization model was proposed by dividing it into operation and service sectors. In the operation sector, it is a digital identity-based user record storage and authentication function, transparent management and traceable monitoring function, voting-based personnel and recruitment system, blockchain governance-based network efficiency function, and blockchain-based next-generation device management and information integration function. The service sector includes improved book purchase and sharing efficiency due to simplification of intermediaries, digital content copyright protection and management functions, customized service provision based on customer behavior analysis, blockchain-based online learning platforms, sharing platforms, and P2P-based reliable information sharing platforms.
Journal of the Korean Society for information Management
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v.39
no.1
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pp.17-44
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2022
The purpose of this study was to present a plan on the effect of non-face-to-face services on library anxiety facilities by analyzing the library anxiety factors of university library users. To this end, we look at the cases of university library user service response activities in response to the COVID-19 crisis and select 40 schools with the highest number of library visitors per student from among domestic four-year university libraries with 5,000 or more and less than 10,000 students. Methods of information service and program cases were analyzed, and K-LAS was reconstructed and surveyed for current students using the K university library, and frequency analysis, descriptive statistical analysis, exploratory factor analysis, and reliability analysis, correlation analysis, and multiple regression analysis were applied to analyze the library anxiety factors of users. Identify the relationship between 5 library anxiety factors and non-face-to-face service activation factors, such as physical/environmental factors of the library, data search selection factors, digital information system factors, librarian (staff) factors, and psychological/emotional factors, and activate non-face-to-face services. The influence of these factors on library anxiety factors was examined, and as a result, it was found that non-face-to-face service activation factors had the greatest influence on library digital information system anxiety factors. Based on the analysis results, it was attempted to derive a plan to relieve users' library anxiety by activating non-face-to-face services.
This study examines the application of data visualization technology using a clustered data algorithm called 'Tamed Cloud' to virtual spaces and seeks the possibility of implementing it in various types of realistic exhibition contents. To this end, we first attempt to classify virtual reality (VR) exhibition contents starting with COVID-19, and summarize technologies applied. Also, various realistic exhibition contents provide visitors with an opportunity to appreciate the artworks through online and virtual exhibitions. In this trend, virtual reality and augmented reality (AR) technologies have been introduced, allowing visitors to enjoy the artwork more immersively, and the possibility of realistic exhibition content with interaction between the artwork and the user is also being demonstrated. Based on this background, this study examines the history of exhibition contents by dividing them before and after the advent of virtual reality technology, and examines how the clustered algorithm technology called Tamed Cloud was applied to virtual space and implemented as a realistic exhibition content in <70mK> project. By synthesizing all of this, we propose a convergence method of data visualization, virtual reality, and realistic content, and propose it as a new alternative to realistic exhibition content in virtual space.
Journal of Korean Library and Information Science Society
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v.54
no.3
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pp.57-80
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2023
The purpose of this study is to examine the current status of university library operation through the five laws of library science and suggest ways to improve it. To this end, the operation status of four national and public university libraries was analyzed with the scope of the study as the Busan area. Furthermore, for an in-depth investigation, the P University library in Busan was examined as a case. The operation status of national and public university libraries in the Busan region was analyzed by dividing them into the categories of university library collection materials, facilities, staff, material purchase costs, and users from 2018 to 2022. In particular, there was a decrease in users and a shortage of librarians due to COVID-19. In the case study, the operation status of P University library was investigated focusing on the first and fifth laws of Ranganathan's five laws of library science. In the first law, the study was conducted on the aspects of access to and use of the collection, library location, usage time and book lending, and staff. In the fifth law, the investigation was divided into service improvement aspects according to changes in digital technology of P University library and library environment improvement aspects according to changes in user characteristics. As a result of the study, 'establishment of library space composition strategy', 'establishment of blue ocean strategy', and 'expansion of recruitment and deployment of librarians' were suggested as improvement plans.
KIPS Transactions on Computer and Communication Systems
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v.12
no.10
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pp.309-318
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2023
Recently, each country has been moving to introduce an LCA (Life Cycle Assessment) to regulate greenhouse gas emissions. The LCA is a mean of measuring and evaluating greenhouse gas emissions generated over the entire life cycle of a vehicle. Reliable data for each electric vehicle component is needed to increase the reliability of the LCA results. To this end, studies on life cycle evaluation models using blockchain technology have been conducted. However, in the existing model, key product information is exposed to other participants. And each time parts data information is updated, it must be recorded in the blockchain ledger in the form of a transaction, which is inefficient. In this paper, we proposed a DID(Decentralized Identity)-based data collection model for LCA to collect vehicle component data and verify its validity effectively. The proposed model increases the reliability of the LCA by ensuring the validity and integrity of the collected data and verifying the source of the data. The proposed model guarantees the validity and integrity of collected data. As only user authentication information is shared on the blockchain ledger, the model prevents indiscriminate exposure of data and efficiently verifies and updates the source of data.
KIPS Transactions on Computer and Communication Systems
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v.12
no.9
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pp.283-290
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2023
With the recent steady development of IoT technology, it is widely used in medical systems and smart TV watches. 66% of software development is developed through language C, which is vulnerable to memory attacks, and acts as a threat to IoT devices using language C. A stack-smashing overflow attack inserts a value larger than the user-defined buffer size, overwriting the area where the return address is stored, preventing the program from operating normally. IoT devices with low memory capacity are vulnerable to stack smashing overflow attacks. In addition, if the existing vaccine program is applied as it is, the IoT device will not operate normally. In order to defend against stack smashing overflow attacks on IoT devices, we used canaries among several detection methods to set conditions with random values, checksum, and DSLR (random storage locations), respectively. Two canaries were placed within the buffer, one in front of the return address, which is the end of the buffer, and the other was stored in a random location in-buffer. This makes it difficult for an attacker to guess the location of a canary stored in a fixed location by storing the canary in a random location because it is easy for an attacker to predict its location. After executing the detection program, after a stack smashing overflow attack occurs, if each condition is satisfied, the program is terminated. The set conditions were combined to create a number of eight cases and tested. Through this, it was found that it is more efficient to use a detection method using DSLR than a detection method using multiple conditions for IoT devices.
Due to the recent transition to a non-face-to-face society, many organizations are quickly adapting to foster a smart work environment. The introduction of smart work does not simply end with incorporating ICT systems or solutions into business models since fundamental factors such as forms of employment and work styles need to be in line with the progression of technological advances. However, previous studies regarding smart work focus on improvements in productivity and efficiency from a technology acceptance perspective. Therefore, there is a lack of discussion on innovation resistance from employees and management control when ICT systems are introduced into the workplace. This study empirically analyzes the moderating effects of the organizational control method for employees and innovation resistance within a smart work environment. Additionally, this study aims to identify the structural characteristics that employees resist from an innovation resistance perspective when organizational innovation occurs. The empirical analysis of this study suggests that when smart work such as ICT technology is introduced into the workplace the level of innovation resistance decreases when there is a high level of relative advantage and self-efficacy, whereas the level of innovation resistance increases when there is a high level of use complexity. Moreover, this study revealed that the level of innovation resistance increases when the employees' behaviors were controlled. The results of this study intend to contribute to improving business management by suggesting factors worth considering when incorporating smart work into work places through a thorough case analysis.
Due to recent developments in smartphones, lifestyles centred around their use are rapidly changing across many societal areas. Mobility apps, widely used by a large number of people, have also become popular among tourists for travel purposes. This trend is exemplified by the premium taxi industry, which champions smart mobility services-an essential component of smart tourism-to attract tourists as customers. This study investigates how smart mobility service attributes influence memorable user experiences from the perspective of both residents and tourists. It also examines the consequent image of smart mobility and users' intentions to reuse these services. To this end, a survey and analysis were conducted with 320 registered customers of domestic premium taxi companies, which are expanding their services to cater to both residents and tourists. The analysis confirmed all hypotheses. Among the attributes of smart mobility, involvement played a crucial role in shaping the image of smart mobility, more so than refreshment or novelty. Furthermore, the image of smart mobility significantly impacted the intention to reuse it. Based on these findings, this study presents practical implications regarding which empirical factors should be managed from a smart mobility perspective to foster a positive image and encourage reuse.
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