• The Southeast Asian review
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• v.28 no.3
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• pp.111-158
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• 2018

This paper pays attention to the recent increase of young Koreans working in the low-skilled service sector in Singapore. Such rapid increase largely results from the Korean government's initiatives to promote labour migration of young people and the concurrent proliferation of migration agencies, against the background of growing youth unemployment in South Korea. By exploring the motivations and trajectories of young people's labour migration to Singapore, this study examines to what extent they think their expectations have been met and how they interpret their migration and work experiences. There has been little research that examines the actual voices of young migrants as part of migration studies, whilst the majority of previous research focuses on the evaluation of government support programmes based on job matching rates, surveys of participant satisfaction and etc. Young people who went to Singapore to improve their English language skills and qualifications for future employment in Korea have become frustrated due to low-skilled service jobs that consist of low pay and high labour intensity. Their credentials are devalued and they experience deskilling through this migration process. Most of them were discontent with the Korean migration agencies they used and critical about programmes offered by government institutions and universities/colleges. Despite being subject to deskilling, they did try to actively cope or resist this situation. This study focuses on the various ways these migrants attempted to manage the gap between their initial expectations and reality. It also demonstrates how these migrants interpreted their work experiences after returning to Korea: whilst most of them did not cash off their Singapore work experience for a decent job after returning to Korea, they did not define their experience as a complete failure. Adding to cultural, social capital they gained through this experience, they acquired 'mobility capital' which includes confidence, the desire to move, and capacity to control one's own movement.

• Industry Promotion Research
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• v.7 no.2
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• pp.51-58
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• 2022

This study is based on Freud's psychoanalysis and intends to deal with the actual psychoanalytic counseling applied to it. In particular, I would like to study the counseling process and counseling techniques. The research results are as follows. The counseling process goes through four stages: initiation, transfer development, training, and transfer resolution as follows after selecting a client and constructing a counseling situation. In the beginning phase, the client listens to important past histories. In the metastasis development stage, it is from the time when metastasis appears. The training phase is the phase in which the client's insight is translated into real life to bring about change. The transfer resolution stage is the period when transfer analysis and interpretation are completed. Counseling techniques include free association, empathy, resistance, transference and countertransference, and interpretation. Free association is a key technique in psychoanalytic therapy and plays an important role in maintaining the analytical framework. Empathy is the ability of the therapist to identify herself with the client and the ability of the therapist to convey the empathic experience to the client itself is a key mechanism for change. Resistance refers to any behavior in which the client does not cooperate with counseling. Transference and countertransference are the main techniques of psychoanalysis. This is because the psychoanalyst induces and resolves the transference of the client during the treatment process. Interpretation refers to the technique of responding verbally in order to understand the needs, meanings, and motives hidden behind the client's thoughts, feelings, and actions. In conclusion, the counseling process of psychoanalytic counseling refers to the purpose of effective counseling by selecting a client and constructing a counseling situation. In addition, the principles of psychoanalysis in counseling techniques are applied to treatment procedures that vary according to the nature of the case, and can be variably applied while treating the same client.

• Journal of Korea Entertainment Industry Association
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• v.15 no.3
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• pp.51-64
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• 2021

Among global K-pop fandoms Chinese fandom is a longtime and very strong consumer power in the K-pop industry due to its adjacent geographical location and low cultural barriers. Yet, there is a significant lack of research on Chinese K-pop fandom; most of what is available is from the producers' points of view. Research that explores the position and experience of Chinese fans, who are both mass audience and consumers, is slow to emerge. Thus, there is a need for systematic and careful study of Chinese K-pop fandom. In this research, we conducted a phenomenological study of the experience of Chinese fans of K-pop culture. We conducted participatory observation and in-depth interviews (including a FGI) with Chinese superintendents and active participants in Chinese K-pop fan clubs and fan pages. We then coded the data, following the theory of fandom developed by scholars such as Fiske (1992), and analyzed the phenomenon of Chinese K-pop fandom from the frame of the overall societal environment. We considered the psychological and behavioral characteristics of Chinese fans and the influences they receive from their turbulent social environments. We also considered the expectations of and opinions on the development of K-pop culture from their perspective. Based on our findings, the significant role and influence of independent fans and interdependent fandom in the development of K-pop culture and industry are identified. Finally, we emphasize that the role as facilitators of K-pop agencies is critical in the establishment of communication and trust between fans, K-pop artists, and the agencies.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.42 no.5
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• pp.651-658
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• 2022

To cope with climate change, studies are being conducted on natural-based solutions (NBS) that reduce carbon by utilizing ecosystems and ecological resources ultimately to achieve carbon neutrality. In this study, carbon storage and economic value evaluations were conducted of the coastal land and sea of Busan using InVEST's Carbon and Coastal Blue Carbon models, which are ecosystem service-based evaluation models. As a result, it is estimated that the amount of carbon storage per unit area is lower than that of the entire Busan land area and that if the currently underway or planned development works are completed, the carbon storage of the coastal land areas would be decreased more. Coastal sea areas have less carbon storage than coastal land, but there is great potential for NBS that utilize ecological resources in the future. If the reclamation of public water affects important habitats with high carbon storage levels, it will reduce these levels, and such negative effects could last for a long time. For the sustainable management of Busan coastal areas, ecosystem service-based management strategies are needed considering carbon storage.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.10
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• pp.363-372
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• 2022

Since the recent COVID-19 Pandemic, the ransomware fandom has intensified along with the expansion of remote work. Currently, anti-virus vaccine companies are trying to respond to ransomware, but traditional file signature-based static analysis can be neutralized in the face of diversification, obfuscation, variants, or the emergence of new ransomware. Various studies are being conducted for such ransomware detection, and detection studies using signature-based static analysis and behavior-based dynamic analysis can be seen as the main research type at present. In this paper, the frequency of ".text Section" Opcode and the Native API used in practice was extracted, and the association between feature information selected using K-means Clustering algorithm, Cosine Similarity, and Pearson correlation coefficient was analyzed. In addition, Through experiments to classify and detect worms among other malware types and Cerber-type ransomware, it was verified that the selected feature information was specialized in detecting specific ransomware (Cerber). As a result of combining the finally selected feature information through the above verification and applying it to machine learning and performing hyper parameter optimization, the detection rate was up to 93.3%.

• Journal of Service Research and Studies
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• v.10 no.4
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• pp.21-41
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• 2020

As the 4th Industrial Revolution unfolds rapidly, it is important to re-light the intrinsic mission given to universities from a system theory perspective as a condition for the university to survive. In this study, the university was prescribed as a fifth service industry that creates high value-added through higher education services, and attempted to provide a new and novel perspective to various university officials for the scientific rationalization of university management by re-describing it based on the Multidisciplinary perspective based on business administration, but in particular on the theory of service operation management. To this end, the primary purpose of this study is to classify the nature of educational organizations, research organizations, service organizations, and support organizations to properly perform the university's essential mission of education, research, and service, and to explore concepts and techniques for performing management activities that are appropriate to them. In addition, after identifying the university from an academic and practical point of view as a fifth service industry that creates high value-added through higher education services, but more specifically, to provide a new perspective and means for the scientific rationalization of university management by re-identifying university administration based on the business administration theory, in particular the theory of service operation management, and further reflecting a recent trend to view the university president from the CEO's point of view, the specific purpose of this study is to look at this academic system. Through this, we sought the ideal form of a systematic and scientific university management organization that can respond to new environmental changes.

• Journal of Internet Computing and Services
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• v.24 no.4
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• pp.25-36
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• 2023

Today, as AI (Artificial Intelligence) technology is introduced in various fields, including security, the development of technology is accelerating. However, with the development of AI technology, attack techniques that cleverly bypass malicious behavior detection are also developing. In the classification process of AI models, an Adversarial attack has emerged that induces misclassification and a decrease in reliability through fine adjustment of input values. The attacks that will appear in the future are not new attacks created by an attacker but rather a method of avoiding the detection system by slightly modifying existing attacks, such as Adversarial attacks. Developing a robust model that can respond to these malware variants is necessary. In this paper, we propose two methods of generating Adversarial attacks as efficient Adversarial attack generation techniques for improving Robustness in AI models. The proposed technique is the XAI-based attack technique using the XAI technique and the Reference based attack through the model's decision boundary search. After that, a classification model was constructed through a malicious code dataset to compare performance with the PGD attack, one of the existing Adversarial attacks. In terms of generation speed, XAI-based attack, and reference-based attack take 0.35 seconds and 0.47 seconds, respectively, compared to the existing PGD attack, which takes 20 minutes, showing a very high speed, especially in the case of reference-based attack, 97.7%, which is higher than the existing PGD attack's generation rate of 75.5%. Therefore, the proposed technique enables more efficient Adversarial attacks and is expected to contribute to research to build a robust AI model in the future.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.4
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• pp.671-685
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• 2023

By applying artificial intelligence to image editing technology, it has become possible to generate high-quality images with minimal traces of manipulation. However, since these technologies can be misused for criminal activities such as dissemination of false information, destruction of evidence, and denial of facts, it is crucial to implement strong countermeasures. In this study, image file and mobile forensic artifacts analysis were conducted for detecting image manipulation. Image file analysis involves parsing the metadata of manipulated images and comparing them with a Reference DB to detect manipulation. The Reference DB is a database that collects manipulation-related traces left in image metadata, which serves as a criterion for detecting image manipulation. In the mobile forensic artifacts analysis, packages related to image editing tools were extracted and analyzed to aid the detection of image manipulation. The proposed methodology overcomes the limitations of existing graphic feature-based analysis and combines with image processing techniques, providing the advantage of reducing false positives. The research results demonstrate the significant role of such methodology in digital forensic investigation and analysis. Additionally, We provide the code for parsing image metadata and the Reference DB along with the dataset of manipulated images, aiming to contribute to related research.

• Korean Journal of Social Welfare Studies
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• v.42 no.4
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• pp.217-238
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• 2011

This study aims to investigate the effects of active coping of spouses on recidivism of domestic violence. In order to obtain better study results, 21-month follow up interview was conducted for spouses of batterers who completed domestic violence batterer intervention program. Spouses were interviewed for three times; 9-month, 15-month, and 21-month after program completion. Finally, data till 15-month follow-up was used to manage sample size problem. As a results, a total number of 76 spouses were included for final analysis. Data was collected from 2008 to 2009. Based on sample size and study objects, PLS(Partial Least Square) analysis was used. the prevalence rates of emotional abuse was 77.6% at the first interview but 41.3% at the second interview. For physical violence each rate were 43.1% and 18.4%. For emotional violence, problem-solving strategy among active coping shows significant moderating effects on reducing emotional violence(p<.001) while help-seeking among active coping has significant effects on decrease physical violence(p<.01).

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.3
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• pp.511-525
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• 2023

As awareness of personal data protection increases, various Full Disk Encryption (FDE)-based applications are being developed that real-time encryption or use virtual drive volumes to protect data on user's PC. FDE-based applications encrypt and protect the volume containing user's data. However, as disk encryption technology advances, some users are abusing FDE-based applications to encrypt evidence associated with criminal activities, which makes difficulties in digital forensic investigations. Thus, it is necessary to analyze the encryption process used in FDE-based applications and decrypt the encrypted data. In this paper, we analyze Cryptomator and Norton Ghost, which provide volume encryption and backup functions. We analyze the encrypted data structure and encryption process to classify the main data of each application and identify the encryption algorithm used for data decryption. The encryption algorithms of these applications are recently emergin gor customized encryption algorithms which are analyzed to decrypt data. User password is essential to generate a data encryption key used for decryption, and a password acquisition method is suggested using the function of each application. This supplemented the limitations of password investigation, and identifies user data by decrypting encrypted data based on the acquired password.