• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.107-109
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• 2021

본 연구는 당뇨병 환자의 자기조절에 대한 주관적 유형과 특성을 분석하고자 시도되었으며, 당뇨병 환자의 주관성을 연구하는데 효과적인 Q방법론을 적용하였다. 대상자는 제2형 당뇨병을 진단받은 사람으로서 경구약이나 인슐린 주사로 치료받고 있으나 현재는 입원한 싱태가 아닌 사람 38명으로 구성하였으며, Q표본 40개의 진술문을 가장 부정(-4)에서 가장 긍정(+4) 범위의 9점 척도 상에 분류하도록 하였다. Q분류된 자료는 QUANL PC program을 이용하여 주요인분석(principal component factor analysis)과 배리맥스 회전(varimax rotation)을 통해 Q 요인분석이 행해졌다. 분석결과 당뇨병환자 자기조절에 대학여 제 1유형은 근거기반 순응형, 제2유형은 위기의식 자립거부형, 제3유형은 정보기반 관계지향형, 제4유형은 자기신뢰 실천형, 제5유형은 주관적 결핍 기반 반응 행동형으로 5가지 유형의 관점을 보여주었다. 따라서 당뇨병 환자 효율적 관리방법을 위해 당뇨병 환자의 질병 관리의 부정적 행위 성향을 이해하고, 당뇨지식 교육, 당뇨관리 정보 및 긍정적 심리를 통한 자기조절 프로그램을 개발 할 필요가 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1269-1272
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• 2021

급격한 차량 수요의 증가로 인한 주차공간의 부족으로 인력기반 주차관리의 한계점을 이용한 여러 위법 행위가 발생함에 따라 관리자의 정기적인 순찰 및 관리의 필요성이 증가하고 있다. 기존 인력기반 주차관리 시스템은 관리자에게 전적으로 의존하고 있어 관리의 정확도 및 효율성이 비교적 낮다. 본 논문에서는 엣지 컴퓨팅 기반의 클라우드 주차관리 시스템을 제안하며, 이는 효율적인 주차관리를 통한 시간과 노동력 절감에 기여한다. 본 시스템이 제공하는 주요 기능은 다음과 같다. 1) 주차구역 및 주차 차량 정보를 분석하여 입·출차를 관리하고 관리자에게 실시간 주차 현황 정보를 제공한다. 2) 추출된 차량 정보를 바탕으로 부정주차 여부를 감지하여 지정주차 구역 관리를 자동화한다. 3) 관리자에게 시간대별 주차구역 점유율 정보를 제공하여 거주자의 가용 주차공간을 확보한다. 4) 거주자의 선호 주차구역 및 시간대를 파악하여 거주자의 주차 편의성을 제공한다. 위 기능을 통해 기존 주차관리의 비효율성을 개선하고자 한다.

• The Korean Society of Law and Medicine
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• v.23 no.4
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• pp.103-131
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• 2022

2021, the Supreme Court recognized the foundation of the quasi-indecent act by force by the concept of 'alcohol blackout' although there were multiple situations that it was hard to judge insanity of the victims was evident in the cases with drunken victims. This means the consideration of insanity state due to temporary false memory rather than the total loss of mental capacity from the existing concept of insanity. However, the interpretation of insanity in the criminal law has to be strict and its application could be difficult. In particular, the comparison precedent which is very similar to the subject one was determined not to be the same with the state of the insanity or inability to resist during the sexual relation though the victim had the symptoms of alcohol blackout, denying the quasi-indecent act by force. This argument is determined to be logical remarkably, and insanity and quasi-indecent act by force should be discussed considering the medical review on the alcohol blackout of the victims sufficiently when determining the individual precedents. In addition, the most important point in the sexual crimes is the consent, and there may be possibility of negligence in case that uncertain consent is determined as the consent to continue the following act. Also, in case of uncertain consent or suspicious, universal determination not to follow the act should be able to realized. Therefore, strong evidence is required for criminality, determining that the victim is the state not to be able to do the normal judgment and the minimum willful negligence is existed that the accused uses this. In the subject ruling, the act of the accused has to be clearly punished, however, it is determined to be unreasonable for the punishment with the quasi-indecent act by force under the interpretation of the current regulations.

• Journal of Korean Philosophical Society
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• v.145
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• pp.351-380
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• 2018

In every society, citizens must decide how to punish criminals, uphold the virtue of justice, and preserve the security of the community. In doing so, the members of society must ask themselves how they will punish those who carry out the most abhorrent of crimes. Many common responses to such a question is that death is an acceptable punishment for the most severe crimes. But to draw some theoretical distinction between a crime that deserves incarceration and a crime that is so heinous that it deserves capital punishment is subject to three errors. First, what possible line could be drawn? To decide on a particular number of deaths or to employ any standard would be arbitrary. Second, the use of a line would trivialize and undermine the deaths of those whose murderers fell below the standard. Third, any and all executions still are unjust, as the State should not degrade the institution of justice and dehumanize an individual who, although he or she has no respect for other human life, is still a living person. Simply put, all murders are heinous, all are completely unacceptable, and deserve the greatest punishment of the land; however, death as punishment is inappropriate. Also, while this article arrives at the conclusion that the death penalty is an inappropriate form of punishment, I have not offered an acceptable alternative that would appease those who believe capital offenders deserve a punishment that differs in its quality and severity. This is a burden that, admittedly, I am unable to meet. I finally conclude that the death penalty is unjustified retribution. This is the only claim that can effectively shift the intellectual paradigms of the participants in the debate. The continued use of the death penalty in society can only be determined and influenced by the collective conscience of the members of that society. As stated at the outset of this article, it is this essentially moral conflict regarding what is just and degrading that forms the backdrop for the past changes in and the present operation of our system of imposing death as a punishment for crime.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.5
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• pp.1123-1129
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• 2015

Macro(automatic hunting) of mobile game is a program that touch the screen by defined rules like a game bot in PC online games, and it is used by make various ways like android application or windows application program. This gives honest users deprivation and make to lose their interest. Finally they would leave the game and gradually game life would be shorten. Although many studies to prevent these problems in PC online game are conducted, applying mobile game to PC's way is difficult because mobile games are limited to use the network and device performance is different with PC. In this paper, we propose a framework for macro detection by using the touch event information. A touch event on the mobile game is a necessary control command to the game. Because macro touches the screen with the same pattern, there is a difference between normal user's behavior and macro's operation. In mobile games that casual games are mostly, Touch event is the best difference that identify normal user against macro for a short period of time. As a result of detecting macros used in real mobile game by using the proposed framework it showed 100% accuracy and 0% false positive rate.

• The Journal of the Korea Contents Association
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• v.15 no.3
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• pp.78-87
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• 2015

Recently, Police integrity has been issued on the media, which cause discredit of police organization. Although high level of morality and integrity are required compared to other occupational groups due to their authority to exert legal force to the citizens and a variety of policies have been enforced by the National Police Agency for the purpose of uplifting the integrity of the officers, in reality, corruption had not yet been eradicated. At this point in time, this study attempted to draw implications for uplifting integrity by utilizing domestic and foreign preceding studies and statistical data related to police corruption and uplifting integrity. The inspection system through whistle-blowing was pointed out as a problem in the institutional framework that hinders uplifting integrity of the police officers and the perception in which police officers are regarded as potential criminals was also pointed out as a problem. Also, vague standards of disciplinary action in examining an offense of a police officer and lack of care for those who were disciplined in the past which affects loyalty to the organization were presented as problems. Based on such suggested concerns, policies for uplifting integrity and restoring citizens' trust in the policies officers were proposed. The proposed agenda were warning the police officers by presenting clear and specific category of corruptive behaviors, expressing the necessity of devising a system that prevents the officers from committing serious crimes by discovering problematic officers earlier through introduction of Early Warning System(EWS) of US and Australian police in order to break away from exposure-oriented inspection system, and reinforcing the testing of integrity in the new employment process.

• Journal of Intelligence and Information Systems
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• v.16 no.1
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• pp.93-116
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• 2010

Ensemble approach is applied to the detection modeling of illegal cash accommodation (ICA) that is the well-known type of fraudulent usages of credit cards in far east nations and has not been addressed in the academic literatures. The performance of fraud detection model (FDM) suffers from the imbalanced data problem, which can be remedied to some extent using an ensemble of many classifiers. It is generally accepted that ensembles of classifiers produce better accuracy than a single classifier provided there is diversity in the ensemble. Furthermore, recent researches reveal that it may be better to ensemble some selected classifiers instead of all of the classifiers at hand. For the effective detection of ICA, we adopt ensemble size reduction technique that prunes the ensemble of all classifiers using accuracy and diversity measures. The diversity in ensemble manifests itself as disagreement or ambiguity among members. Data imbalance intrinsic to FDM affects our approach for ICA detection in two ways. First, we suggest the training procedure with over-sampling methods to obtain diverse training data sets. Second, we use some variants of accuracy and diversity measures that focus on fraud class. We also dynamically calculate the diversity measure-Forward Addition and Backward Elimination. In our experiments, Neural Networks, Decision Trees and Logit Regressions are the base models as the ensemble members and the performance of homogeneous ensembles are compared with that of heterogeneous ensembles. The experimental results show that the reduced size ensemble is as accurate on average over the data-sets tested as the non-pruned version, which provides benefits in terms of its application efficiency and reduced complexity of the ensemble.

• Cross-Cultural Studies
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• v.50
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• pp.131-172
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• 2018

It is noted that nowadays, the bride wealth custom takes an extremely distorted form in African society. Such a phenomenon is a result that the male-dominant culture, Western religions, and capitalist economic system have been negatively combined into dynamic factors seen as bride wealth. This means that the concept of bride wealth has been incessantly reconstructed in the middle of clash and conflict of tradition and modernity. There is also little doubt that the practice is inextricably tangled with the common and current ways of livelihood, early marriage, polygyny, kinship/family structure, poverty, and migration labor. Bride wealth has become an increasingly commercialized element under a capitalist economic system. Accordingly, its traditional symbolism is seen to be subsequently weakening, whereas a tendency towards the reification of women is strengthening more in modern society that embraces modern customs bent on the protection of women's human rights. Its commercialization has produced a result, which instigates the noted violations of women's basic human rights, gender inequality, and promotion of domestic violence. The ways that people perceive bride wealth vary according to their own sex, generation, stratification, and ethnic background. Those people who negatively recognize bride wealth will increase with the deepening of its commercialization due to the influence of capitalism. Its color and effect will deepen and depend on how its agents correspond to socioeconomic changes. They will constantly reinterpret and reconstruct it within their own environments, but the basic human rights efforts are constantly under review by concerned individuals seeking to promote equality for women as a global effort.

• 한국노년학
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• v.37 no.3
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• pp.637-653
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• 2017

Meta-analysis was conducted on 56 studies published in Korea until April 2017 to systematically integrate factors of ego integrity of the elderly. The variables related to ego integrity were divided into 6 groups of variable, and the effect sizes were computed for each variable of their groups. The analysis results are as follows. First, the total effect size showed the middle effect size, and the effect size according to the variable group showed the largest effect size for the positive psychological variable group, followed by the negative psychological variable, the physical variable, the familial variable, the social variable and the demographic variable. Second, the largest effect size of the sub-variables on the each individual variable group showed positive psychological variable was life quality, negative psychological variable was depression, physical variable was health behavior, familial variable was children relationship, social variable was social support and demographic variable was economic status. As described above, suggesting that these variables may have a strong influence on ego integrity among the variables related to ego integrity because the quality of life, life satisfaction and depression were shown as the largest effective variables related to ego integrity.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.565-574
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• 2024

ChatGPT is causing significant reverberations across all sectors of our society, and this holds true for the field of education as well. However, scholarly and societal discussions regarding ChatGPT in academic settings have primarily focused on issues such as plagiarism, with relatively limited research on the positive effects of utilizing generative AI. Additionally, amidst the educational crisis of the post-COVID era, there is a growing recognition of the need to enhance academic engagement. In light of these concerns, we investigated how academic engagement varies based on students' levels of ChatGPT literacy and examined whether students' academic confidence and perceived academic competence serve as mediators between ChatGPT literacy and academic engagement. An analysis using SPSS was conducted on the data collected from 406 college students. The results showed that ChatGPT literacy had a positive effect on academic engagement, and academic confidence mediated the relationship between ChatGPT literacy and academic engagement. Also, when the mediating effect of perceived academic competence was significant only when it was serially mediated. Based on these findings, we discussed the theoretical contributions of identifying the theoretical mechanism between ChatGPT literacy and academic engagement. In addition, practical implications regarding the importance of ChatGPT literacy education were described.