• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.222-234
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• 2020

Autonomous vehicles are equipped with a wide rage of sensors such as GPS, RADAR, LIDAR, camera, IMU, etc. and are driven by recognizing and judging various transportation systems at intersections in the city. The accident ratio of the intersection of the autonomous vehicles is 88% of all accidents due to the limitation of prediction and judgment of an area outside the sensing distance. Not only research on non-signalized intersection collision avoidance strategies through V2V and V2I is underway, but also research on safe intersection driving in failure situations is underway, but verification and fragments through simple intersection scenarios Only typical V2V failures are presented. In this paper, we analyzed the architecture of the V2V module, analyzed the causal factors for each V2V module, and defined the failure mode. We presented intersection scenarios for various road conditions and traffic volumes. we used the ISO-26262 Part3 Process and performed HARA (Hazard Analysis and Risk Assessment) to analyze the risk of autonomous vehicle based on the simulation. We presented ASIL, which is the result of risk analysis, proposed a monitoring concept for each component of the V2V module, and presented monitoring coverage.

• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.377-382
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• 2021

《Mu Yang Ai Hua, 牧羊哀話》 is known as the first Korean-sanctioned novel in the history of modern Chinese literature, and is famous for a novel created by the author himself visiting Korea and being inspired. The translation of 《牧羊哀話》 is constantly being re-translated (4 types). These translations also reflect the characteristics of each period, and the translation strategies used have their own characteristics. The results of the comparative analysis of the four types of translations in this study are as follows. The role A was published during the Japanese colonial period, and some parts were reduced and omitted according to the intent of the translator, and a foreignization translation strategy was used. B, C, and D have implemented content equivalence by utilizing many of the localization translation strategies, and added supplementary explanations in part to help readers understand. Since translation is a process of communication, it should not just convert the source text to the target text, but the target reader's response to the work should be the same as that of the reader. Therefore, translation must be able to understand the environment of the times and the readership, and it must use all possible methods to elicit the same emotion and empathy as the reader has read the original text. Therefore, translators need to use their nationalization and foreignization strategies at the same time based on their understanding of the target language and the politics, economy, history, culture, etc. of the destination country.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.9-15
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• 2021

With the recent development of 5G and artificial intelligence technologies, it is interested in AIOT technology to collect, process, and analyze information in cloud edge environments. AIIoT technology is being applied to various smart environments, but research is needed to perform fast response processing through accurate analysis of collected information. In this paper, we propose a technique to minimize bandwidth and processing time by blocking the connection processing between AIOT information through fast processing and accurate analysis/forecasting of information collected in the smart environment. The proposed technique generates seeds for data indexes on AIOT devices by multipointing information collected by blockchain, and blocks them along with collection information to deliver them to the data center. At this time, we deploy Deep Neural Network (DNN) models between cloud and AIOT devices to reduce network overhead. Furthermore, server/data centers have improved the accuracy of inaccurate AIIoT information through the analysis and predicted results delivered to minimize latency. Furthermore, the proposed technique minimizes data latency by allowing it to be partitioned into a layered multilayer network because it groups it into blockchain by applying weights to AIOT information.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.17-26
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• 2021

This study was conducted to do in-depth exploration of coroperate employees' learning experiences for workplace under COVID-19. We collected data through depth interviews from August 10th to November 30th, 2020 with five employees of S Energy company, and a qualitative case study was conducted using Ricci's 3-step analysis procedure. As a result, In the process of adapting from the landing of COVID-19, "The Story of a Distant Country," "No More Safe Zones," "Exploring effective responses created by a Sense of Crisis," and "Learning the changed way of work for adaptation." appeared. In addition, It has been found that the experience of learning in the work environment of the With Corona era includes "learning experience for survival from a sense of crisis", "learning experience for adapting to Untact culture", "learning experience through SNS communication", and "competitive learning experience for performance creation". In conclusion, employees have adapted to changes in the workplace environment through various learning experiences, which can enhance workers' ability to cope with crisis situations and can be used as basic data for an effective learning. In the future, we suggested follow-up researches of corporate employees in various fields.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.2
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• pp.193-201
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• 2021

The welding has a high proportion of the production and drying of ships or offshore plants. Non-destructive testing is carried out to verify the quality of welds in Korea, radiography test (RT) is mainly used. Currently, most shipyards adopt analog-type techniques to print the films through the shoot of welding parts. Therefore, the time required from radiography test to pass or fail judgment is long and complex, and is being manually carried out by qualified inspectors. To improve this problem, this paper covers a platform for scanning and digitalizing RT films occurring in shipyards with high resolution, accumulating them in management servers, and applying artificial intelligence (AI) technology to detect welding defects. To do this, we describe the process of designing and developing RT film scanning equipment, welding inspection information integrated management platform, fault reading algorithms, visualization software, and testing and verification of each developed element in conjunction.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.299-312
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• 2021

Autonomous vehicles using V2X can drive safely information on areas outside the sensor coverage of autonomous vehicles conventional autonomous vehicles. As V2X technology has emerged as a key component of autonomous vehicles, research on V2X security is actively underway research on risk analysis due to failure of V2X communication is insufficient. In this paper, the service scenario and function of autonomous driving system V2X were derived by presenting the intersection scenario of the autonomous vehicle, the malfunction was defined by analyzing the hazard of V2X. he ISO26262 Part3 process was used to analyze the risk of malfunction of autonomous vehicle V2X. In addition, a fault injection scenario was presented to verify the fail-safe of the simulation-based intersection scenario.

• Science of Emotion and Sensibility
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• v.25 no.1
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• pp.67-78
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• 2022

Interest in bio-signal monitoring of wearable devices is increasing significantly as the next generation needs to develop new devices to dominate the global market of the information and communication technology industry. Accordingly, this research developed a resistive textile strain sensor through a wetting process in a single-wall carbon nanotube dispersion solution using an E-Band with low hysteresis. To measure the resistance signal in the E-Band to which electrical conductivity is applied, a universal material tester, an Arduino, and LCR meters that are microcontroller units were used to measure the resistance change according to the tensile change. To effectively handle various noises generated due to the characteristics of the fabric textile strain sensor, the filter performance of the sensor was evaluated using the moving average filter, Savitsky-Golay filter, and intermediate filters of signal processing. As a result, the reliability of the filtering result of the moving average filter was at least 89.82% with a maximum of 97.87%, and moving average filtering was suitable as the noise filtering method of the textile strain sensor.

• Journal of Korean Society of Archives and Records Management
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• v.21 no.4
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• pp.137-162
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• 2021

This study aimed to examine the perception and experience of researchers in the field of mechanical engineering on research data creation and management, and suggest implications for research data management and services in the field. Research data management and services of domestic and foreign research institutes were investigated, and in-depth interviews were conducted with researchers belonging to domestic mechanical engineering research institutes to analyze the perception and conduction of research data creation and management according to four major categories: "research data, accountable conducting of research and compliance with research ethics, utility and effectiveness of research data management, and the value of sharing research data." To ensure effective research data management and services in mechanical engineering, it is necessary to conduct a data investigation on the process, type, and form of production to collect explicit metadata and implicit contextual information. It is also necessary to propose a plan to recognize research results using the publication of data journals and to prepare infrastructure such as a cloud-based system that supports safe data management and communication between researchers. In addition, it suggests that it is important for various officials in the research field to allocate roles and responsibilities for research data management and services at the organizational level.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.169-184
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• 2021

Recent advances in science and technology leveraged various artistic tools. Interactive art based on various media technologies became popular in a short period, and is widely appreciated as a new form of art. This new form of art has a different method of expression from traditional art such as painting or sculpture. It aims to strike a balance among the artist, audience, and piece of art through interaction between the work and viewers. Viewers can take part in the creation process, going beyond the conventional way of art appreciation. This paper analyzes interactive art production techniques based on human senses from the artist's perspective. "Simulation-experience model" will be suggested after looking at several example artworks. Charming, which was produced based on this model, will be introduced and its meaning will be analyzed. The objective of this paper is to predict the future of interactive art and changes in the art form by studying interactive art production techniques based on human senses. We believe that the prediction is helpful in understanding the artistic and technological value and the social influence of interactive art in the future.

• Journal of Hospice and Palliative Care
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• v.24 no.4
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• pp.204-213
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• 2021

Purpose: At the end of life, communication is a key factor for good care. However, in clinical practice, it is difficult to adequately discuss end-of-life care. In order to understand and analyze how decision-making related to life-sustaining treatment (LST) is performed, the shared decision-making (SDM) behaviors of physicians were investigated. Methods: A questionnaire was designed after reviewing the literature on attitudes toward SDM or decision-making related to LST. A final item was added after consulting experts. The survey was completed by internal medicine residents and hematologists/medical oncologists who treat terminal cancer patients. Results: In total, 202 respondents completed the questionnaire, and 88.6% said that the decision to continue or end LST is usually a result of SDM since they believed that sufficient explanation is provided to patients and caregivers, patients and caregivers make their own decisions according to their values, and there is sufficient time for patients and caregivers to make a decision. Expected satisfaction with the decision-making process was the highest for caregivers (57.4%), followed by physicians (49.5%) and patients (41.1%). In total, 38.1% of respondents said that SDM was adequately practiced when making decisions related to LST. The most common reason for inadequate SDM was time pressure (89.6%). Conclusion: Although most physicians answered that they practiced SDM when making decisions regarding LST, satisfactory SDM is rarely practiced in the clinical field. A model for the proper implementation of SDM is needed, and additional studies must be conducted to develop an SDM model in collaboration with other academic organizations.