• Journal of Digital Convergence
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• v.20 no.4
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• pp.607-615
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• 2022

Animation is a popular art in the form of enlightenment that intimately approaches people of various ages and makes them reconsider the social problems they have ignored. Therefore, this paper analyzes how the character setting and formative symbolism in "The Willoughbys" raise awareness of social agendas. The previous studies found that the modern society needs to be aware of child abuse and various types of family, and examined that color and formativeness of animation induce psychological and behavior change from the audience. The work shows emotional abuse and neglect as characters, and presents the subdivided form of the family. The rainbow symbolizes diverse family members. The agents with visual characteristics express the modern principle-based secondary perpetrator along with apathetic neighbors to urge a change in audience perception. This paper insists the value of animation when it is essential to raise public awareness prior to the construction of a welfare society and support system.

• Journal of Broadcast Engineering
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• v.27 no.5
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• pp.665-675
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• 2022

After the COVID-19 pandemic, there has been growing interests in metaverse technology and social use of virtual reality platforms in non-face-to-face environments, but social issues and ethical concerns raised by metaverse have not been sufficiently discussed. In this paper, we discuss the social functions of the metaverse by examining the movie 'Ready Player One', and investigate the ethical problems that may arise in various implementation of metaverse. We identify the potential ethical problems that could occur in the context of metaverse including identity fragmentation, metaverse violence and crime, and mismanagement of personal information. We also propose some promising approaches to tackle these ethical problems ranging over descriptive ethics, normative ethics, and analytical (meta) ethics.

• The Korean Journal of Applied Statistics
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• v.35 no.1
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• pp.131-146
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• 2022

Logit models are commonly used to predicting and classifying categorical response variables. Most Bayesian approaches to logit models are implemented based on the Metropolis-Hastings algorithm. However, the algorithm has disadvantages of slow convergence and difficulty in ensuring adequacy for the proposal distribution. Therefore, we use auxiliary mixture sampler proposed by Frühwirth-Schnatter and Frühwirth (2007) to estimate logit models. This method introduces two sequences of auxiliary latent variables to make logit models satisfy normality and linearity. As a result, the method leads that logit model can be easily implemented by Gibbs sampling. We applied the proposed method to diabetes data from the Community Health Survey (2020) of the Korea Disease Control and Prevention Agency and compared performance with Metropolis-Hastings algorithm. In addition, we showed that the logit model using auxiliary mixture sampling has a great classification performance comparable to that of the machine learning models.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.439-444
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• 2021

In the modern society, people live in an environment while sharing a space with each other and secure their own space for the safety. As interest in "Crime Prevention Through Environmental Design (CPTED)" securing the safety of citizens from crime through environmental design is increasing, this research studies the public space design realized in public environments which is explored through the understanding of the concept of public design. Through the various case studies conducted with the concept and cases of public design, a standard for proceeding with crime prevention design has been established. The research analyzes the results of successful cases with ten extracted keywords, and finally three design solutions for crime prevention were proposed through extracted keywords. Each design solution was evaluated by 25 CPTED researchers who participated in this project with Likert's 5-point scale. Based on final evaluation results, the research will further investigate better and safe approaches and solutions for CPTED.

• Korean journal of applied entomology
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• v.61 no.1
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• pp.211-219
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• 2022

Over the past decade, double-stranded RNA (dsRNA)-mediated gene silencing technology has progressed significantly for pest management in agriculture and for protecting beneficial insects from pathogens. Recently, breakthroughs in RNA interference (RNAi) applications for insect pest management by academia and commercial entities have provided RNAi products as commercial biopesticides. Although RNAi technology has vast potential and advantages for pest control, challenges, and limitations remain in practical applications. This review explores current challenges in the development of dsRNAs as a pest management tool and considers new approaches to overcome biological and environmental obstacles, such as poor stability and resistance.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.789-802
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• 2022

The purpose of this study is to present implications for effective operation of domestic school-based mental health services by comparing those in Singapore the United States, Australia. Based on reviewing the public data and previous article, researchers conducted a comparative study on the background, history, goal, and managing process of overseas and domestic organizations. The result of comparison in overseas cases suggests that the foundation of school-based mental health project was laid with the national health plan and detailed frame work for implementation. It was also discussed that domestic school-based mental health project is still in introduction stage, while foreign services were delivered efficiently through the leading agency and the cooperation between government ministries and institutions were active. It suggests that cooperation between government ministries, preparation of an effective operating system, and various approaches for students, guardians and teachers are need for domestic school-based mental health project.

• Journal of the Semiconductor & Display Technology
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• v.21 no.1
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• pp.148-154
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• 2022

As the 4th industrial age approaches, the demand for semiconductors is increasing enough to be used in all electronic devices. At the same time, semiconductor technology is also developing day by day, leading to ultraprecision and low power consumption. Semiconductors that keep getting smaller generate heat because the energy density increases, and the generated heat changes the shape of the semiconductor package, so it is important to manage. The temperature change is not only self-heating of the semiconductor package, but also heat generated by external damage. If the package is deformed, it is necessary to manage it because functional problems and performance degradation such as damage occur. The package burn in test in the post-process of semiconductor production is a process that tests the durability and function of the package in a high-temperature environment, and heat dissipation performance can be evaluated. In this paper, we intend to review a new material formulation that can improve the performance of the adapter, which is one of the parts of the test socket used in the burn-in test. It was confirmed what characteristics the basic base showed when polyamide, a high-molecular material, and alumina, which had high thermal conductivity, were mixed for each magnification. In this study, functional evaluation was also carried out by injecting an adapter, a part of the test socket, at the same time as the specimen was manufactured. Verification of stiffness such as tensile strength and flexural strength by mixing ratio, performance evaluation such as thermal conductivity, and manufacturing of a dummy device also confirmed warpage. As a result, it was confirmed that the thermal stability was excellent. Through this study, it is thought that it can be used as basic data for the development of materials for burn-in sockets in the future.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.603-611
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• 2022

As the era of metaverse approaches, there are challenges that need to be solved. Among them, 'cyber motion sickness' is a representative problem from 2016;when VR technology began to attract attention. According to the theory of sensory conflict, motion sickness is caused when the perceived direction of motion information and the expected value are not the same. The paper was written to theoretically explore the relationship between brain cognition and cyber motion sickness, and to prove the effect of user immersion on motion sickness symptoms based on this. Through the SSQ experiment, it was found that the rotation value of the camera aggravates the symptoms of cyber motion sickness and can alleviate cyber motion sickness by increasing the immersion of the game by giving the viewer visual and shift missions to solve. This study was conducted to solve the problem of cyber motion sickness during the process of developing the VR rhythm game "beatale", and it is expected to be the basis for improving cyber motion sickness not only in the development of the project but also in the production of VR contents in the future.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.87-93
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• 2023

In this paper, we propose a system that accurately and efficiently determines forward head posture based on network learning by analyzing the user's skeletal posture. Forward head posture syndrome is a condition in which the forward head posture is changed by keeping the neck in a bent forward position for a long time, causing pain in the back, shoulders, and lower back, and it is known that daily posture habits are more effective than surgery or drug treatment. Existing methods use convolutional neural networks using webcams, and these approaches are affected by the brightness, lighting, skin color, etc. of the image, so there is a problem that they are only performed for a specific person. To alleviate this problem, this paper extracts the skeleton from the image and learns the data corresponding to the side rather than the frontal view to find the forward head posture more efficiently and accurately than the previous method. The results show that the accuracy is improved in various experimental scenes compared to the previous method.

• Journal of IKEEE
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• v.27 no.1
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• pp.85-92
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• 2023

Recently, as the era of the 4th Industrial Revolution approaches, IoT devices that emphasize portability are increasing. At the same time, battery usage is also increasing rapidly. With the rapid increase in battery usage, issues related to battery safety have become inevitable problems and many studies have been conducted. This paper deals with explosion issues caused by swelling among various battery issues, and includes research and development of a system that detects battery swelling by identifying resistance changes. The core technology of this study is to develop a system that frequently detects changes in the resistance of wires drawn on the battery through changes in volume that occur when the battery swelling, and uses the resistance changes to prevent battery explosion. In addition, through pattern analysis, it was analyzed how the wire should be constructed to cause a lot of resistance changes.