• Journal of Legislation Research
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• no.53
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• pp.593-631
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• 2017

Like the technological competition of each country around commercialization of Autonomous Vehicles(the rest is 'AV'), legalizations are also in a competition. However, in the midst of this competition, the Ethik-Kommission Automatisiertes und vernetztes Fahren of Germany has recently introduced 20 guidelines. This guideline is expected to serve as a milestone for future AV legislations. In this paper, I have formulated a new legislative proposal that will incorporate the main content presented by the Ethik-Kommission. The structure is largely divided into general rules of purpose and definition, chapter on types of AV and safety standards, registration and inspection, maintenance, licenses for AV, driver's obligations, insurance and accident responsibilities, roads and facilities, traffic system, and chapter on penalties. The commercialization of AV in Korea seems to be in a distant future, and it is possible to pretend that it is not necessary to prepare legal systems. But considering our reality, leading legislation may be necessary. In this paper, I have prepared individual legislative proposals based on the essential matters based on the criminal responsibility in case of AV car accidents. To assure the safety of AV, AV and mode of operation were defined for more clear interpretation and application of law, and basic safety standards for AV were presented. In addition, the obligation of insurance and the liability for damages were defined, and the possibility of immunity from the criminal responsibility was examined. Furthermore, I have examined the penalties for penalties such as hacking in order to secure the effectiveness of the Act. Based on these discussions, I have attempted the 'Autonomous Vehicles Act', which aims to provide a basis for new discussions to be held on the basis of various academic fields related to the operation of AV and related industries in the future. Although there may be a sense of unurgency in time, the automobile industry needs time to prepare for the regulation of the AV ahead of time. And a process of public debate is also needed for the ecosystem of healthy AV industry.

• (The)Study of the Eastern Classic
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• no.48
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• pp.195-223
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• 2012

Until now, I guess, many scholars misunderstood the characteristic of economic awareness of Yi Hang-no as if it was a modern nationalism or radicalism against Japanese anti-Korean insistences. But I think these opinions are out of historical attitude. So to understand Yi's economic awareness correctly, I think, We should focus on the traditional Confucian thought system at that time. As one method to reach the goal, I focused on the word, Jeong-jeon-je: Oriental equal land system. Yi Hang-no put the importance on Jeong-jeon-je to make utopia he dreamed of. Yi thought Jeong-jeon-je is the basis of equal society and strong state. Also Yi thought a moral society would be achieved by Jeong-jeon-je because the equal land system, so called Jeong-jeon-je provide peasants with equal lands, so it makes peasants stable in economic situation. Especially, Yi Hang-no put importance on that Jeong-jeon-je would raise moral consciousness of people because equal economic condition makes people wealthy, so people would be good men naturally. Yi Hang-no explain it in basis of Insim-Dosim-seol: a theory of two minds bad & good to be. Yi Hang-no thought equal economic condition is the basis of making people moral being. He thought Jeong-jeon-je was a basis of the condition. Reversely, Yi thought Western insists of trade was the beginning of making people fight for individual benefit, so it produces devil selfishness out of human mind. That was the reason that Yi Hang-no opposed the trade with Western Powers. Eventually Yi's assertion of embargo came out of his Insim-Dosim-seol. In this context, Yi's Jeong-jeon-je was insisted as a method to raise human moral consciousness.

• Journal of The Korean Association For Science Education
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• v.41 no.2
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• pp.145-154
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• 2021

This study aims to investigate teachers' perceptions of the composition of high school science elective courses ahead of the 2022 curriculum revision, and to derive implications for the organization of the 2022 revised science curriculum in preparation for the full implementation of the high school credit system. To this end, a survey was conducted by randomly sampling high schools across the country. A total of 192 science teachers responded to the questionnaire. In addition, 12 high school science teachers were selected as a focus group, and in-depth interviews were conducted to investigate opinions on the restructuring of elective courses in science. Main research results include 129 (67.2%) science teachers in the survey answered that the current 2015 curriculum's science and elective courses system should be maintained. In the next curriculum, when reconstructing science elective subjects, it is necessary to provide an opportunity to experience the entire contents of each science field through Science I·II system as before, and to ensure student choice in preparation for the credit system. In addition, the opinion that general elective subjects should be organized to include all the contents of science I and II subjects was the highest. Through in-depth interviews, science teachers emphasized that the current science I subject system allows access to the content areas of science as much as possible as the number of subjects is small, and that subjects, such as physics, where the hierarchy of concepts is important, should deal with important content within one subject rather than divided by area. On the other hand, in the current I subject system, there is no subject for liberal arts students to choose from, so teachers suggested that science electives should be organized by subdividing each content area. Based on the research results, the necessity of organizing high school science elective courses in consideration of the purpose of the high school credit system, ways to organize science-convergence elective courses as subjects for all students regardless of career aptitude, ways to organize science-career elective courses, and ways to organize science elective courses in connection with the college admission system were proposed.

• The Korean Society of Law and Medicine
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• v.16 no.2
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• pp.87-130
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• 2015

In a case in which National Health Insurance Corporation (NHIC) pays medical care expenses to a victim of a traffic accident resulting in injury or death and asks the assailant for compensation of its share in the medical care expenses, as the precedent treats the subrogation of a claim set by National Health Insurance Act the same as that set by Industrial Accident Compensation Insurance Act, it draws the range of its compensation from the range of deduction, according to the principle of deduction after offsetting and acknowledges the compensation of all medical care expenses borne by the NHIC, within the amount of compensation claimed by the victim. However, both the National Health Insurance Act and the Industrial Accident Compensation Insurance Act are laws that regulate social insurance, but medical care expenses in the National Health Insurance Act have a character of 'an underinsurance that fixes the ratio of indemnification,' while insurance benefit on the Industrial Accident Compensation Insurance Act has a character of full insurance, or focuses on helping the insured that suffered an industrial accident lead a life, approximate to that in the past, regardless of the amount of damages according to its character of social insurance. Therefore, there is no reason to treat the subrogation of a claim on the National Health Insurance Act the same as that on the Industrial Accident Compensation Insurance Act. Since the insured loses the right of claim acquired by the insurer by subrogation in return for receiving a receipt, there is no benefit from receiving insurance in the range. Thus, in a suit in which the insured seeks compensation for damages from the assailant, there is no room for the application of the legal principle of offset of profits and losses, and the range of subrogation of a claim or the amount of deduction from compensation should be decided by the contract between the persons directly involved or a related law. Therefore, it is not reasonable that the precedent draws the range of the NHIC's compensation from the principle of deduction after offsetting. To interpret Clause 1, Article 58 of the National Health Insurance Act that sets the range of the NHIC's compensation uniformly and systematically in combination with Clause 2 of the same article that sets the range of exemption, if the compensation is made first, it is reasonable to fix the range of the NHIC's compensation by multiplying the medical care expenses paid by the ratio of the assailant's liability. This is contrasted with the range of the Korea Labor Welfare Corporation's compensation which covers the total amount of the claim of the insured within the insurance benefit paid in the interpretation of Clauses 1 and 2, Article 87 of the Industrial Accident Compensation Insurance Act. In the meantime, there are doubts about why the profit should be deducted from the amount of compensation claimed, though it is enough for the principle of deduction after offsetting that the precedent took as the premise in judging the range of the NHIC's compensation to deduct the profit made by the victim from the amount of damages, so as to achieve the goal of not attributing profit more than the amount of damage to a victim; whether it is reasonable to attribute all the profit made by the victim to the assailant, while the damages suffered by the victim are distributed fairly; and whether there is concrete validity in actual cases. Therefore, the legal principle of the precedent concerning the range of the NHIC's compensation and the legal principle of the precedent following the principle of deduction after offsetting should be reconsidered.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.71-84
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• 2013

Log data, which record the multitude of information created when operating computer systems, are utilized in many processes, from carrying out computer system inspection and process optimization to providing customized user optimization. In this paper, we propose a MongoDB-based unstructured log processing system in a cloud environment for processing the massive amount of log data of banks. Most of the log data generated during banking operations come from handling a client's business. Therefore, in order to gather, store, categorize, and analyze the log data generated while processing the client's business, a separate log data processing system needs to be established. However, the realization of flexible storage expansion functions for processing a massive amount of unstructured log data and executing a considerable number of functions to categorize and analyze the stored unstructured log data is difficult in existing computer environments. Thus, in this study, we use cloud computing technology to realize a cloud-based log data processing system for processing unstructured log data that are difficult to process using the existing computing infrastructure's analysis tools and management system. The proposed system uses the IaaS (Infrastructure as a Service) cloud environment to provide a flexible expansion of computing resources and includes the ability to flexibly expand resources such as storage space and memory under conditions such as extended storage or rapid increase in log data. Moreover, to overcome the processing limits of the existing analysis tool when a real-time analysis of the aggregated unstructured log data is required, the proposed system includes a Hadoop-based analysis module for quick and reliable parallel-distributed processing of the massive amount of log data. Furthermore, because the HDFS (Hadoop Distributed File System) stores data by generating copies of the block units of the aggregated log data, the proposed system offers automatic restore functions for the system to continually operate after it recovers from a malfunction. Finally, by establishing a distributed database using the NoSQL-based Mongo DB, the proposed system provides methods of effectively processing unstructured log data. Relational databases such as the MySQL databases have complex schemas that are inappropriate for processing unstructured log data. Further, strict schemas like those of relational databases cannot expand nodes in the case wherein the stored data are distributed to various nodes when the amount of data rapidly increases. NoSQL does not provide the complex computations that relational databases may provide but can easily expand the database through node dispersion when the amount of data increases rapidly; it is a non-relational database with an appropriate structure for processing unstructured data. The data models of the NoSQL are usually classified as Key-Value, column-oriented, and document-oriented types. Of these, the representative document-oriented data model, MongoDB, which has a free schema structure, is used in the proposed system. MongoDB is introduced to the proposed system because it makes it easy to process unstructured log data through a flexible schema structure, facilitates flexible node expansion when the amount of data is rapidly increasing, and provides an Auto-Sharding function that automatically expands storage. The proposed system is composed of a log collector module, a log graph generator module, a MongoDB module, a Hadoop-based analysis module, and a MySQL module. When the log data generated over the entire client business process of each bank are sent to the cloud server, the log collector module collects and classifies data according to the type of log data and distributes it to the MongoDB module and the MySQL module. The log graph generator module generates the results of the log analysis of the MongoDB module, Hadoop-based analysis module, and the MySQL module per analysis time and type of the aggregated log data, and provides them to the user through a web interface. Log data that require a real-time log data analysis are stored in the MySQL module and provided real-time by the log graph generator module. The aggregated log data per unit time are stored in the MongoDB module and plotted in a graph according to the user's various analysis conditions. The aggregated log data in the MongoDB module are parallel-distributed and processed by the Hadoop-based analysis module. A comparative evaluation is carried out against a log data processing system that uses only MySQL for inserting log data and estimating query performance; this evaluation proves the proposed system's superiority. Moreover, an optimal chunk size is confirmed through the log data insert performance evaluation of MongoDB for various chunk sizes.