• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.1-9
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• 2021

Recently, new types of security crimes have been steadily occurring in Korea due to environmental changes such as the development of IT technology, and responding to these threats has become a key national task for the establishment of a safe society as well as individuals and businesses. Meanwhile, as the Zero-Contact Era has arrived since the COVID-19 Pandemics, a new convergence security threat that combines the characteristics of the Zero-Contact Era with the existing IT development is threatening our society. Research to prevent and correct these new levels of threats is continuously required in this study. Chapter 1 examined the causes of new convergence security threats and Chapter 2 discussed cybersecurity, fake news, remote voting·work and video security threats as five major threats.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.842-848
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• 2020

Music markets have entered the era of streaming. In order to select and propose music that suits the taste of music consumers, there is an active demand and research on an automatic music genre classification system. We propose a method to improve the accuracy of genre unclassified songs, which was a lack of the previous system, by using a generative adversarial network (GAN) to further develop the automatic voting system for deep learning music genre using Softmax proposed in the previous paper. In the previous study, if the spectrogram of the song was ambiguous to grasp the genre of the song, it was forced to leave it as an unclassified song. In this paper, we proposed a system that increases the accuracy of genre classification of unclassified songs by converting the spectrogram of unclassified songs into an easy-to-read spectrogram using GAN. And the result of the experiment was able to derive an excellent result compared to the existing method.

• Korea Trade Review
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• v.44 no.2
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• pp.95-107
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• 2019

The ICSID arbitral tribunal shall determine the suitability of investors in accordance with the Article 25 of the ICSID convention and the investment or investor's provisions under the BIT. The eligibility of investors has an important role in establishing jurisdiction under international investment disputes. Therefore, this study draws implications on issues related to investor qualification, focusing on ICSID arbitration. The investor's nationality shall be taken into consideration in determining whether the investor is eligible. The criteria for determining the nationality of a corporate investor include the place of incorporation, main business location, and substantial ownership or control. The criterion of the place of incorporation that is used in a number of BIT have the problem of protecting investors from third countries not involved in the BIT. So, in recent years it is stipulated that the actual economic activity or the main business location as well as the place of incorporation criteria. And this problem is complemented by the denial of benefit clause. When determining whether a local corporation is controlled by foreigner in the host state it considers the shareholding rate, voting rights, and the exercise of managerial rights. There is a tendency to recognize shareholder's right to petition. Thus the same damage should not cause problems such as duplicate repayment or double reimbursement between the shareholders and the company. Unexpected problems can arise if the scope of investments and investors is broadly specified in the BIT. Therefore, it is necessary to clarify the scope of investment to be protected.

• Trans-
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• v.11
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• pp.1-35
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• 2021

This study looks to explore situations in which the authenticity of reality audition programs is inherently distorted by subjective intervention through a theoretical model of existentialism and case study of how it was practiced in an actual program. In detail, we examine the impact on the essence of human subjective intervention and the behavior by free will and use Sartre's existentialism a theoretical model and a Korean audition program series as the case for the study. We believe that the producers intended to narrow the audiences choices by creating a favorable environments for certain participants (trainees as they were called) to be recognized and liked by the voting audiences. We look to "subjectivity," the first principle of existentialism, people determine their essence through free will, and all actions in the production process are aimed at achieving that goal, which keeps the position balance of final debut group by creating the character image and personality through character making, storytelling and increasing or decrease the assigned air-time of each individuals.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.6
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• pp.149-161
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• 2003

Partially blind signature scheme allows the signer to insert non-removable common information into his blind signature. Blind signatures providing with both users privacy and data authenticity are one of key parts of information systems, such anonymous electronic cash and electronic voting as typical examples. Partially blind signature, with which all expired e-cash but for still-alive can be removed from the banks database, copes well with the problem of unlimited growth of the banks' database in an electronic cash system. In this paper we propose an efficient ID-based partially blind signature scheme using the Weil-pairing on Gap Diffie-Hellman group. The security of our scheme relies on the hardness of Computational Diffie-Hellman Problem. The proposed scheme provides higher efficiency than existing partially blind signature schemes by using three-pass protocol between two participants, the signer and requesters also by reducing the computation load. Thus it can be efficiently used in wireless environment.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.1
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• pp.117-130
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• 2012

Recently, smartphone has being most popular mobile device in mobile market, not around the world, but in domestic. In Korea, there are about 710 million people are using smartphone in 2010, and it is expected that about 1 billion people will use smartphone in next year. However, with exponential growth of smartphone, several security issues come to the fore. Because, the smartphone store various private information to provide user customized services, smartphone security can be regarded most critical issues than security of other devices. However, leak of awareness for security may cause many security accidents in present. Therefore, in this paper, we analyze security features of smartphone and propose a protection profile based on Common Criteria v3.1. Our work can be distributed for developer and user of smartphone to estimate security of smartphone.

• Journal of Convergence for Information Technology
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• v.11 no.7
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• pp.14-20
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• 2021

Most accidents caused by road icing in winter lead to major accidents. Because it is difficult for the driver to detect the road icing in advance. In this work, we study how to accurately detect road traffic emerging risk using AutoML and CNN's ensemble model that use both structured and unstructured data. We train CNN-based road traffic emerging risk classification model using images that are unstructured data and AutoML-based road traffic emerging risk classification model using weather data that is structured data, respectively. After that the ensemble model is designed to complement the CNN-based classification model by inputting probability values derived from of each models. Through this, improves road traffic emerging risk classification performance and alerts drivers more accurately and quickly to enable safe driving.

• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.401-410
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• 2021

Popular in discriminant classification analysis, k-nearest neighbor classification methods have limitations that do not reflect the local characteristic of the data, considering only the number of fixed neighbors. Considering the local structure of the data, the adaptive nearest neighbor method has been developed to select the number of neighbors. In the analysis of high-dimensional data, it is common to perform dimension reduction such as random projection techniques before using k-nearest neighbor classification. Recently, an ensemble technique has been developed that carefully combines the results of such random classifiers and makes final assignments by voting. In this paper, we propose a novel discriminant classification technique that combines adaptive nearest neighbor methods with random projection ensemble techniques for analysis on high-dimensional data. Through simulation and real-world data analyses, we confirm that the proposed method outperforms in terms of classification accuracy compared to the previously developed methods.

• Analyses & Alternatives
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• v.4 no.2
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• pp.103-132
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• 2020

The purpose of this study is to observe whether intergenerational differences exist in support among major Korean political parties and, if so, how they exist, based on the results of the survey conducted nationwide. To achieve the purpose of the study, a questionnaire was prepared based on conjoint analysis, and the collected data was analyzed by applying a random parameter logit model. The main results of model analysis are summarized as follows. First, among the policy variables, statistically significant results were observed in the generation of 20s and 30s for the education variable. It was found that both 20s and 30s aimed for equal education at a higher level than other generations. Especially, the highest intensity aim for equal education culture was observed in the 20s. Second, the coefficients of major political parties were observed with a high level of statistical significance. This appears to be a result suggesting that voters decide on their voting behavior through thorough policy comparisons in addition to comprehensive consideration on various current issues. Third, a clear support for conservative parties was observed in the generation of 20s. A clear and intense distribution of preference for political parties classified as conservatives was observed in the 20s generation, which can be said to be mainly college students. This seems to be a profound founding related to the issue of "conservatization of the 20s," which has recently become a hot topic in Korean society. Fourth, a high level of support for progressive parties was observed in the 30s and 40s. The Justice Party can be classified as a minority party in the National Assembly House as of January 2019. Nevertheless, it was maintained at a relatively high level in national recognition, and it is presumed that the background was high level of support from the 30s and 40s. Fifth, a large level of standard deviation was observed in the preference for conservative parties in the 50s. This means that some respondents who are in their 50s or older strongly support the Liberty Korea Party, and some respondents in the same generation strongly disapprove it. Due to this countervailing power, it seems that the average support level for the Liberal Korean Party is low in the generations of 50s and older.?

• Tunnel and Underground Space
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• v.32 no.3
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• pp.173-193
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• 2022

In this study, international standardization trend of smart mining technology was analyzed focusing on the guidelines developed by GMG (Global Mining Guidelines Group). GMG is a non-profit organization that unites the global mining community. It was established to promote mining safety, innovation and sustainability. Currently, GMG's working group consists of artificial intelligence, asset management, autonomous mining, cybersecurity, data access and usage/interoperability, the electric mine, mineral processing, underground mining, and sustainability. Guideline development projects related to smart mining technology are being conducted in artificial intelligence, autonomous mining, cybersecurity, data access and usage/interoperability, and underground mining. As of April 2022, eight types of smart mining-related guidelines have been published through pre-launch, launch, guideline definition, contents generation, technical editing/layout/final review, and voting process. It is judged that the GMG guidelines can be an important reference for the development of domestic smart mining technology standards.