• Journal of the Korea Safety Management & Science
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• v.17 no.2
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• pp.177-182
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• 2015

Many students can experience, such as for credit and social activities through field trips and participate in field trips. For on-site field training exercise participants currently in Gwangju University They take part in field trip 1, 2, 3 and 4 as the type.. Field Practice 1 type in summer and 2 in winter of 4-week period during vacation holidays with 3 credits, field trips 3 type of 8-week period during vacational holidays with 6 credits recognized for \400,000 in job training fee is also payable by the Leaders in INdustry-university Cooperation Agency. 4 types of job training are fourth grade (Architecture Grade 5) can be employed in conjunction for more than 15 weeks and admitted to the second semester of 15 credits by participating in job training. For most schools, but to pay a fee-job training at the University of Hanyang University, Kyungpook National University has a student assistance in the field training participating companies. This establishment does not have a clear idea of the legal entities responsible in the event of industrial accidents. Academic research is also nonexistent state for them. In this paper, we distinguish the personality for it via the existing labor precedents with respect to the legal responsibility of an industrial accident. This aims at putting the means to establish the role of the University of job training support.

• Convergence Security Journal
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• v.15 no.2
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• pp.25-31
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• 2015

While information and communication develop, the Electronic commerce payment system is progressing. Recently, a government established the electronic commerce activation policy which simplified a payment Through this policy, the information which the financial company monopolizes can be fused with the other industry and create the popularization use of the electronic payment service and value added services. But on the other hand, the concern for the security is very high, Accordingly, the finnancial institute take a restriction of the requirements for the participation company according to the financial scale, this policy is led by the private institue, rather making a participation of fin tech venture difficulty. This paper tries to deal with the technical and legal problems for the activation of electronic payment system and fin tech. So I will examine the security matter that follows in grifting the innovation technology onto the existing payment service and propose a desirable way to improve the current legislation.

• Journal of Legislation Research
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• no.53
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• pp.213-267
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• 2017

Regulatory barrier is considered most challenging out of all FinTech barriers, which many technology innovators have always experienced. Even though technological solutions promise customers accessibility to more cost-effective and secured financial services, it is quite challenging to create regulatory environment that enables innovation FinTech industry. Especially, a common challenge FinTech innovators and business face is regulatory uncertainty and confusion rather than any particular regulation. Since many FinTech models are continuously introducing new innovative ways in providing financial services, significant confusion could be raised in applying principles of existing law and regulations. In addition, it is uncertain whether or not applying complex regulatory compliance model intended for large financial institutions to small start-ups is appropriate since most existing regulations and rules are established and introduced without considering innovative tools such as mobile instruments, e-trade, and internet. Therefore, new mechanism to access to regulatory information in a more cost-effective, quick and immediate way should be created. Regulators, technological innovators, and financial customers should cooperate each other to find out appropriate solutions for those issues. Many regulators are introducing regulatory sandbox which provides service providers with opportunities to test their innovations, during the test, providing regulators with enough time to understand risks of innovations. However, regulatory sandbox is not a panacea for all challenges to FinTech innovations. Therefore, regulators should make comprehensive and multidimensional efforts including regulatory sandbox in supporting FinTech ecosystem.

• The Journal of Asian Finance, Economics and Business
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• v.1 no.2
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• pp.15-24
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• 2014

This research investigates the characteristics, principles, advantages, factors and problems of cluster development in Kazakhstan, and identifies the prerequisites, conditions and stages of organizing clusters on the framework of special economic zones. In this research, we used methods, which will allow analyzing of the organization industrial clusters in special economic zones in Kazakhstan. The author studied international experience of cluster development and the efficiency of the use of the model of the "rhombus effect" with account the specific features of interaction between the participants of the cluster, analysis of the legal framework for the formation and development of clusters. These have been identified as the more important or strategically necessary clusters in Kazakhstan: innovation-technological cluster, innovation-education cluster, innovation-petrochemical cluster, innovative-metallurgical cluster, transport and logistics cluster, textile industry cluster, tourism cluster, agro cluster, construction cluster, medical and pharmaceutical cluster. Firstly, the results suggest that the interaction of science, education, business and government in the development and implementation of innovation policy is not sufficiently structured to provide a balanced representation of the interests of the range of various innovative enterprises in Kazakhstan. Secondly, the legal basis of cluster development in Kazakhstan is determined. Need to develop mechanisms for the implementation of promising direction. Thirdly, the clusters can be formed in the existing special economic zones, allowing them to get right to the mass production of high-tech products that are developed.

• Journal of Digital Contents Society
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• v.18 no.7
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• pp.1419-1425
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• 2017

The ultimate goal of legal knowledge search is to obtain optimal legal information based on laws and precedent. Text mining research is actively being undertaken to meet the needs of efficient retrieval from large scale data. A typical method is to use a word embedding algorithm based on Neural Net. This paper demonstrates how to search relevant information, applying Korean law information to word embedding. First, we extracts reference laws from precedents in order and takes reference laws as input of Law2Vec. The model learns a law by predicting its surrounding context law. The algorithm then moves over each law in the corpus and repeats the training step. After the training finished, we could infer the relationship between the laws via the embedding method. The search performance was evaluated based on precision and the recall rate which are computed from how closely the results are associated to the search terms. The test result proved that what this paper proposes is much more useful compared to existing systems utilizing only keyword search when it comes to extracting related laws.

• Knowledge Management Research
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• v.18 no.4
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• pp.159-180
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• 2017

The rapid development of information technology has affected many industries, and made consumers receive new services that are completely different from those of the past. In the financial industry, various changes are taking place, such as providing the payment system which is easy to use and offering differentiated services. This study examined the factors affecting the intention to use mobile payment system. In particular, we considered both practical and emotional factors that affect the intentions. The mobile payment system, which is a new form of payment, is rapidly developing in China. In Korea, it is still in the beginning stage due to the legal regulations and the activation of alternative payment methods. This study, therefore, compared the differences in factors that affect the intention to use mobile payment system between Korea and China.

• Journal of the Korean Home Economics Association
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• v.42 no.1
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• pp.53-67
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• 2004

The purpose of this study was to analyze anti-counterfeiting strategies of fashion firms in Korea. Data was collected by in-depth interviews for 25 fashion firms and 5 buying offices who had been victims of counterfeiting. The result showed that fashion firms recognized the counterfeiting, especially deceptive counterfeiting, as a serious problem in Korea and seek for stronger protection. Fashion firms adopted diverse strategies for the protection of trademark and for the protection of design； (1) Investigation and Surveillance, (2) Warning, (3) Prosecution, (4) Lawsuit, (5) Consumer education (6) High-tech tabooing, (7) Provide incentives, (8) Penalty, (9) Do nothing. Despite the diverse efforts, they proposed the most desirable strategies to deter the counterfeiting as the changes of consumer attitude and stronger legal protection.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.4
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• pp.115-127
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• 2023

In this paper, we have undertaken a comprehensive investigation into the current state of anti-drone technology due to the increasing concerns and risks associated with the widespread use of drones. We carefully analyze anti-drone technology, dividing it into three crucial domains: detection, identification, and neutralization methods. This categorization enables us to delve into intricate technical details, highlighting the diverse techniques used to counter evolving drone threats. Additionally, we explore the legal and regulatory aspects of implementing anti-drone technology. Our research also envisions potential directions for advancing and evolving anti-drone tech to ensure its effectiveness in an ever-changing threat environment.

• Safety and Health at Work
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• v.13 no.4
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• pp.401-407
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• 2022

Background: The present study aimed to digitally evaluate the risk of overwork-related adverse effects (OrAEs) among employees from various occupational categories in Taiwan. Methods: Anonymous data of employees from seven companies/factories providing occupational health services were analyzed. The studied population comprised 5505 employees, and the data analyzed included employment duration, working hours, shift work schedules, and health checkup results. The risk for OrAEs was assessed by an index, Karo index (0-4, the larger the value, the higher the risk for OrAEs) obtained using a risk matrix made up of cardiocerebral and occupational risk factors. Karo index values of 3 and 4 were categorized as at high risk for OrAEs (h-OrAEs). Results: The 5505 employees had an average employment duration of 8.5 years and a mean age of 39.4 years. The prevalence rates for h-OrAEs of the seven companies/factories ranged from 3.9% to 34.2%. There were significant differences in prevalence rates for h-OrAEs between employees of retail stores and high-tech manufacturing factories. Multivariate analysis results indicated that workers of high-tech manufacturing factories had significantly higher risk for h-OrAEs compared with retail store workers. Conclusion: In terms of satisfying health risk management and legal requirements in Taiwan, the newly issued Karo index, which covers a wide range of occupational risk factors, can serve as an assessment and a warning tool for managing the risk of OrAEs in workplaces. To reduce risks for h-OrAEs, active and prudent control of cerebrocardiovascular risks and working hours is recommended.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.191-206
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• 2022

Recently, it is a de-facto approach to utilize a pre-trained language model(PLM) to achieve the state-of-the-art performance for various natural language tasks(called downstream tasks) such as sentiment analysis and question answering. However, similar to any other machine learning method, PLM tends to depend on the data distribution seen during the training phase and shows worse performance on the unseen (Out-of-Distribution) domain. Due to the aforementioned reason, there have been many efforts to develop domain-specified PLM for various fields such as medical and legal industries. In this paper, we discuss the training of a finance domain-specified PLM for the Korean language and its applications. Our finance domain-specified PLM, KB-BERT, is trained on a carefully curated financial corpus that includes domain-specific documents such as financial reports. We provide extensive performance evaluation results on three natural language tasks, topic classification, sentiment analysis, and question answering. Compared to the state-of-the-art Korean PLM models such as KoELECTRA and KLUE-RoBERTa, KB-BERT shows comparable performance on general datasets based on common corpora like Wikipedia and news articles. Moreover, KB-BERT outperforms compared models on finance domain datasets that require finance-specific knowledge to solve given problems.